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Lu T, Zhang W, Abel C, Horion S, Brandt M, Huang K, Fensholt R. Changes in vegetation-water response in the Sahel-Sudan during recent decades. J Hydrol Reg Stud 2024; 52:101672. [PMID: 38577223 PMCID: PMC10993624 DOI: 10.1016/j.ejrh.2024.101672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 12/17/2023] [Accepted: 01/15/2024] [Indexed: 04/06/2024]
Abstract
Study region The Africa Sahel-Sudan region, defined by annual rainfall between 150 and 1200 mm. Study focus Understanding the mechanism of vegetation response to water availability could help mitigate the potential adverse effects of climate change on global dryland ecosystems. In the Sahel-Sudan region, spatio-temporal changes and drivers of the vegetation-water response remain unclear. This study employs long-term satellite water and vegetation products as proxies of water availability and vegetation productivity to analyze changes in vegetation-water sensitivity and the cumulative effect duration (CED) representing a measure of the legacy effect of the impact of water constraints on vegetation. A random forest model was subsequently used to analyze potential climatic drivers of the observed vegetation response. New hydrological insights for the region During 1982-2016 we found a significant decrease (p < 0.05) in the sensitivity of vegetation productivity to water constraints in 26% of the Sahel-Sudan region, while 9% of the area showed a significantly increased sensitivity, mainly in the sub-humid zone. We further showed that CED significantly increased and decreased, respectively in around 9% of the study area in both cases. Our climatic driver attribution analysis suggested the existence of varying underlying mechanisms governing vegetation productivity in response to water deficit across the Sahel-Sudan dryland ecosystems. Our findings emphasize the need for diverse strategies in sustainable ecosystem management to effectively address these varying mechanisms.
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Affiliation(s)
- Tingting Lu
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Wenmin Zhang
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Christin Abel
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Stéphanie Horion
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Martin Brandt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Ke Huang
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
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2
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Hu Y, Wei F, Wang S, Zhang W, Fensholt R, Xiao X, Fu B. Critical thresholds for nonlinear responses of ecosystem water use efficiency to drought. Sci Total Environ 2024; 918:170713. [PMID: 38325460 DOI: 10.1016/j.scitotenv.2024.170713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 02/01/2024] [Accepted: 02/03/2024] [Indexed: 02/09/2024]
Abstract
Climate change is expected to lead to greater variability in precipitation and drought in different regions. However, the responses of ecosystem carbon and water cycles (i.e., water use efficiency, WUE) to different levels of drought stress are not fully understood. Here, we examined the relationship between WUE and precipitation anomalies and identified the critical drought threshold (DrCW) above which WUE showed substantial decrease. The results revealed that 85.56 % of the study area had nonlinear WUE responses to drought stress; that is, the WUE decreased sustainably and steeply when the precipitation deficit exceeded the DrCW. DrCW indicates inflection points for changing ecosystem responses from relatively resistant to vulnerable to drought stress, thus providing an instructive early warning for intensifying suppressive impacts on vegetation growth. Additionally, DrCW varies across aridity gradients and among vegetation types. Based on the DrCW at the pixel level, the future eco-drought is projected to increase in >67 % of the study area under both the SSP2&RCP4.5 and SSP5&RCP8.5 scenarios by the end of the 21st century. Our study elucidates the response of the ecosystem function to drought and supports the development of accurate ecosystem adaptation policies for future drought stress.
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Affiliation(s)
- Ying Hu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Fangli Wei
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of sciences, Beijing 100101, China
| | - Shuai Wang
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Wenmin Zhang
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Xiangming Xiao
- Department of Microbiology and Plant Biology, Center for Earth Observation and Modeling, University of Oklahoma, Norman, OK, USA
| | - Bojie Fu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
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3
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Dou Y, Tong X, Horion S, Feng L, Fensholt R, Shao Q, Tian F. The success of ecological engineering projects on vegetation restoration in China strongly depends on climatic conditions. Sci Total Environ 2024; 915:170041. [PMID: 38218475 DOI: 10.1016/j.scitotenv.2024.170041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 01/05/2024] [Accepted: 01/07/2024] [Indexed: 01/15/2024]
Abstract
China has implemented extensive ecological engineering projects (EEPs) during recent decades to restore and enhance ecosystem functioning. However, the effectiveness of these interventions can vary due to factors such as local climate and specific project objectives. Here, we used two independent satellite remote sensing datasets, including the Global Inventory Monitoring and Modeling System (GIMMS) Normalized Difference Vegetation Index (NDVI) and vegetation optical depth from Ku-band (Ku-VOD), to investigate the vegetation trends in two hotspot regions of EEPs characterized by different climate conditions, i.e., the xeric/semi-xeric Loess Plateau and mesic southwest China. We found diverging vegetation greenness/biomass trend shift patterns in these two regions as a result of the combined effects of EEPs and climate variations, as indicated by changes in the Standardized Precipitation Evapotranspiration Index (SPEI). In the Loess Plateau, where no significant climate variations were observed, NDVI/Ku-VOD increased continuously after the implementation of key EEPs in 2000. Conversely, southwest China has experienced persistent drying since 2000, and vegetation greenness/biomass showed an increasing trend during the initial stages of ecological engineering implementation but subsequently reversed towards a decline due to the continued dry climatic conditions. We used the residual trend method to separate the influence of EEPs from climate variations on vegetation trends and found a positive effect of the ecological management practices in the Loess Plateau, yet a predominantly negative effect in the southwest China region, which means that projects implemented in southwest China did not lead to a long-term improvement in vegetation growth under the given climate conditions in southwest China. This adverse impact suggests that ecological engineering practices could potentially increase the ecosystem's vulnerability to droughts, owing to the increased transpirational water demands introduced by ecological engineering interventions. Our study highlights the importance of considering the expected occurrence and magnitude of climatic variability when implementing large-scale EEPs.
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Affiliation(s)
- Yujie Dou
- Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
| | - Xiaoye Tong
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Stéphanie Horion
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Luwei Feng
- Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Quanqin Shao
- Key Laboratory of Land Surface Patterns and Simulation, Institute of Geographic Science and Natural Resources Research, CAS, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101407, China
| | - Feng Tian
- Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China; Perception and Effectiveness Assessment for Carbon-neutrality Efforts, Engineering Research Center of Ministry of Education, Wuhan, China.
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4
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Peptenatu D, Andronache I, Ahammer H, Radulovic M, Costanza JK, Jelinek HF, Di Ieva A, Koyama K, Grecu A, Gruia AK, Simion AG, Nedelcu ID, Olteanu C, Drăghici CC, Marin M, Diaconu DC, Fensholt R, Newman EA. Correction to: A new fractal index to classify forest fragmentation and disorder. Landsc Ecol 2023. [DOI: 10.1007/s10980-023-01781-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/14/2023]
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5
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Liu S, Brandt M, Nord-Larsen T, Chave J, Reiner F, Lang N, Tong X, Ciais P, Igel C, Pascual A, Guerra-Hernandez J, Li S, Mugabowindekwe M, Saatchi S, Yue Y, Chen Z, Fensholt R. The overlooked contribution of trees outside forests to tree cover and woody biomass across Europe. Sci Adv 2023; 9:eadh4097. [PMID: 37713489 PMCID: PMC10881069 DOI: 10.1126/sciadv.adh4097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 08/15/2023] [Indexed: 09/17/2023]
Abstract
Trees are an integral part in European landscapes, but only forest resources are systematically assessed by national inventories. The contribution of urban and agricultural trees to national-level carbon stocks remains largely unknown. Here we produced canopy cover, height and above-ground biomass maps from 3-meter resolution nanosatellite imagery across Europe. Our biomass estimates have a systematic bias of 7.6% (overestimation; R = 0.98) compared to national inventories of 30 countries, and our dataset is sufficiently highly resolved spatially to support the inclusion of tree biomass outside forests, which we quantify to 0.8 petagrams. Although this represents only 2% of the total tree biomass, large variations between countries are found (10% for UK) and trees in urban areas contribute substantially to national carbon stocks (8% for the Netherlands). The agreement with national inventory data, the scalability, and spatial details across landscapes, including trees outside forests, make our approach attractive for operational implementation to support national carbon stock inventory schemes.
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Affiliation(s)
- Siyu Liu
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Martin Brandt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Thomas Nord-Larsen
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Jerome Chave
- Laboratoire Evolution et Diversité Biologique, CNRS, UPS, IRD, Université Paul Sabatier, Toulouse, France
| | - Florian Reiner
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Nico Lang
- Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
| | - Xiaoye Tong
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l’Environnement, CEA/CNRS/UVSQ/Université Paris Saclay, Gif-sur-Yvette, France
| | - Christian Igel
- Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
| | - Adrian Pascual
- Department of Geographical Sciences, University of Maryland, College Park, MD, USA
| | - Juan Guerra-Hernandez
- Forest Research Center, School of Agriculture, University of Lisbon, Lisbon, Portugal
| | - Sizhuo Li
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Maurice Mugabowindekwe
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Sassan Saatchi
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
| | - Yuemin Yue
- Key Laboratory for Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China
| | - Zhengchao Chen
- Airborne Remote Sensing Center, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
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6
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Abel C, Abdi AM, Tagesson T, Horion S, Fensholt R. Contrasting ecosystem vegetation response in global drylands under drying and wetting conditions. Glob Chang Biol 2023; 29:3954-3969. [PMID: 37103433 DOI: 10.1111/gcb.16745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 03/26/2023] [Indexed: 05/10/2023]
Abstract
Increasing aridity is one major consequence of ongoing global climate change and is expected to cause widespread changes in key ecosystem attributes, functions, and dynamics. This is especially the case in naturally vulnerable ecosystems, such as drylands. While we have an overall understanding of past aridity trends, the linkage between temporal dynamics in aridity and dryland ecosystem responses remain largely unknown. Here, we examined recent trends in aridity over the past two decades within global drylands as a basis for exploring the response of ecosystem state variables associated with land and atmosphere processes (e.g., vegetation cover, vegetation functioning, soil water availability, land cover, burned area, and vapor-pressure deficit) to these trends. We identified five clusters, characterizing spatiotemporal patterns in aridity between 2000 and 2020. Overall, we observe that 44.5% of all areas are getting dryer, 31.6% getting wetter, and 23.8% have no trends in aridity. Our results show strongest correlations between trends in ecosystem state variables and aridity in clusters with increasing aridity, which matches expectations of systemic acclimatization of the ecosystem to a reduction in water availability/water stress. Trends in vegetation (expressed by leaf area index [LAI]) are affected differently by potential driving factors (e.g., environmental, and climatic factors, soil properties, and population density) in areas experiencing water-related stress as compared to areas not exposed to water-related stress. Canopy height for example, has a positive impact on trends in LAI when the system is stressed but does not impact the trends in non-stressed systems. Conversely, opposite relationships were found for soil parameters such as root-zone water storage capacity and organic carbon density. How potential driving factors impact dryland vegetation differently depending on water-related stress (or no stress) is important, for example within management strategies to maintain and restore dryland vegetation.
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Affiliation(s)
- Christin Abel
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Abdulhakim M Abdi
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
- Centre for Environmental and Climate Science, Lund University, Lund, Sweden
| | - Torbern Tagesson
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
- Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
| | - Stephanie Horion
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
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7
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Peptenatu D, Andronache I, Ahammer H, Radulovic M, Costanza JK, Jelinek HF, Di Ieva A, Koyama K, Grecu A, Gruia AK, Simion AG, Nedelcu ID, Olteanu C, Drăghici CC, Marin M, Diaconu DC, Fensholt R, Newman EA. A new fractal index to classify forest fragmentation and disorder. Landsc Ecol 2023; 38:1373-1393. [DOI: 10.1007/s10980-023-01640-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Accepted: 03/10/2023] [Indexed: 11/14/2023]
Abstract
Abstract
Context
Forest loss and fragmentation pose extreme threats to biodiversity. Their efficient characterization from remotely sensed data therefore has strong practical implications. Data are often separately analyzed for spatial fragmentation and disorder, but no existing metric simultaneously quantifies both the shape and arrangement of fragments.
Objectives
We present a fractal fragmentation and disorder index (FFDI), which advances a previously developed fractal index by merging it with the Rényi information dimension. The FFDI is designed to work across spatial scales, and to efficiently report both the fragmentation of images and their spatial disorder.
Methods
We validate the FFDI with 12,600 synthetic hierarchically structured random map (HRM) multiscale images, as well as several other categories of fractal and non-fractal test images (4880 images). We then apply the FFDI to satellite imagery of forest cover for 10 distinct regions of the Romanian Carpathian Mountains from 2000–2021.
Results
The FFDI outperformed its two individual components (fractal fragmentation index and Rényi information dimension) in resolving spatial patterns of disorder and fragmentation when tested on HRM classes and other image types. The FFDI thus offers a clear advantage when compared to the individual use of fractal fragmentation index and the Information Dimension, and provided good classification performance in an application to real data.
Conclusions
This work improves on previous characterizations of landscape patterns. With the FFDI, scientists will be able to better monitor and understand forest fragmentation from satellite imagery. The FFDI may also find wider applicability in biology wherever image analysis is used.
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8
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Reiner F, Brandt M, Tong X, Skole D, Kariryaa A, Ciais P, Davies A, Hiernaux P, Chave J, Mugabowindekwe M, Igel C, Oehmcke S, Gieseke F, Li S, Liu S, Saatchi S, Boucher P, Singh J, Taugourdeau S, Dendoncker M, Song XP, Mertz O, Tucker CJ, Fensholt R. More than one quarter of Africa's tree cover is found outside areas previously classified as forest. Nat Commun 2023; 14:2258. [PMID: 37130845 PMCID: PMC10154416 DOI: 10.1038/s41467-023-37880-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 03/29/2023] [Indexed: 05/04/2023] Open
Abstract
The consistent monitoring of trees both inside and outside of forests is key to sustainable land management. Current monitoring systems either ignore trees outside forests or are too expensive to be applied consistently across countries on a repeated basis. Here we use the PlanetScope nanosatellite constellation, which delivers global very high-resolution daily imagery, to map both forest and non-forest tree cover for continental Africa using images from a single year. Our prototype map of 2019 (RMSE = 9.57%, bias = -6.9%). demonstrates that a precise assessment of all tree-based ecosystems is possible at continental scale, and reveals that 29% of tree cover is found outside areas previously classified as tree cover in state-of-the-art maps, such as in croplands and grassland. Such accurate mapping of tree cover down to the level of individual trees and consistent among countries has the potential to redefine land use impacts in non-forest landscapes, move beyond the need for forest definitions, and build the basis for natural climate solutions and tree-related studies.
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Affiliation(s)
- Florian Reiner
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark.
| | - Martin Brandt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark.
| | - Xiaoye Tong
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - David Skole
- Global Observatory for Ecosystem Services, Department of Forestry, Michigan State University, East Lansing, MI, 48823, USA
| | - Ankit Kariryaa
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
- Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
| | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l'Environnement, CEA/CNRS/UVSQ/Université Paris Saclay, Gif-sur-Yvette, France
| | - Andrew Davies
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
| | | | - Jérôme Chave
- Laboratoire Evolution et Diversité Biologique, CNRS, UPS, IRD, Université Paul Sabatier, Toulouse, France
| | - Maurice Mugabowindekwe
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Christian Igel
- Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
| | - Stefan Oehmcke
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
- Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
| | - Fabian Gieseke
- Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
- Department of Information Systems, University of Münster, Münster, Germany
| | - Sizhuo Li
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
- Université Paris Saclay, Gif-sur-Yvette, France
| | - Siyu Liu
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Sassan Saatchi
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA
| | - Peter Boucher
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Jenia Singh
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
| | | | - Morgane Dendoncker
- Earth and Life Institute, Environmental Sciences, Université catholique de Louvain, Louvain-la-Neuve, Belgium
| | - Xiao-Peng Song
- Department of Geographical Sciences, University of Maryland, College Park, MD, 20740, USA
| | - Ole Mertz
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Compton J Tucker
- Earth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
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9
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Li S, Brandt M, Fensholt R, Kariryaa A, Igel C, Gieseke F, Nord-Larsen T, Oehmcke S, Carlsen AH, Junttila S, Tong X, d’Aspremont A, Ciais P. Deep learning enables image-based tree counting, crown segmentation, and height prediction at national scale. PNAS Nexus 2023; 2:pgad076. [PMID: 37065619 PMCID: PMC10096914 DOI: 10.1093/pnasnexus/pgad076] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 01/28/2023] [Accepted: 02/27/2023] [Indexed: 04/18/2023]
Abstract
Sustainable tree resource management is the key to mitigating climate warming, fostering a green economy, and protecting valuable habitats. Detailed knowledge about tree resources is a prerequisite for such management but is conventionally based on plot-scale data, which often neglects trees outside forests. Here, we present a deep learning-based framework that provides location, crown area, and height for individual overstory trees from aerial images at country scale. We apply the framework on data covering Denmark and show that large trees (stem diameter >10 cm) can be identified with a low bias (12.5%) and that trees outside forests contribute to 30% of the total tree cover, which is typically unrecognized in national inventories. The bias is high (46.6%) when our results are evaluated against all trees taller than 1.3 m, which involve undetectable small or understory trees. Furthermore, we demonstrate that only marginal effort is needed to transfer our framework to data from Finland, despite markedly dissimilar data sources. Our work lays the foundation for digitalized national databases, where large trees are spatially traceable and manageable.
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Affiliation(s)
- Sizhuo Li
- To whom correspondence should be addressed: ;
| | | | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen 1350, Denmark
| | - Ankit Kariryaa
- Department of Computer Science, University of Copenhagen, Copenhagen 2100, Denmark
| | - Christian Igel
- Department of Computer Science, University of Copenhagen, Copenhagen 2100, Denmark
| | - Fabian Gieseke
- Department of Computer Science, University of Copenhagen, Copenhagen 2100, Denmark
- Department of Information Systems, University of Münster, Münster 48149, Germany
| | - Thomas Nord-Larsen
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen 1350, Denmark
| | - Stefan Oehmcke
- Department of Computer Science, University of Copenhagen, Copenhagen 2100, Denmark
| | - Ask Holm Carlsen
- Department of Earth Observations, The Danish Agency for Data Supply and Infrastructure, Copenhagen 2400, Denmark
| | - Samuli Junttila
- Department of Forest Sciences, University of Eastern Finland, Joensuu 80101, Finland
| | - Xiaoye Tong
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen 1350, Denmark
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10
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Tucker C, Brandt M, Hiernaux P, Kariryaa A, Rasmussen K, Small J, Igel C, Reiner F, Melocik K, Meyer J, Sinno S, Romero E, Glennie E, Fitts Y, Morin A, Pinzon J, McClain D, Morin P, Porter C, Loeffler S, Kergoat L, Issoufou BA, Savadogo P, Wigneron JP, Poulter B, Ciais P, Kaufmann R, Myneni R, Saatchi S, Fensholt R. Sub-continental-scale carbon stocks of individual trees in African drylands. Nature 2023; 615:80-86. [PMID: 36859581 PMCID: PMC9977681 DOI: 10.1038/s41586-022-05653-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 12/13/2022] [Indexed: 03/03/2023]
Abstract
The distribution of dryland trees and their density, cover, size, mass and carbon content are not well known at sub-continental to continental scales1-14. This information is important for ecological protection, carbon accounting, climate mitigation and restoration efforts of dryland ecosystems15-18. We assessed more than 9.9 billion trees derived from more than 300,000 satellite images, covering semi-arid sub-Saharan Africa north of the Equator. We attributed wood, foliage and root carbon to every tree in the 0-1,000 mm year-1 rainfall zone by coupling field data19, machine learning20-22, satellite data and high-performance computing. Average carbon stocks of individual trees ranged from 0.54 Mg C ha-1 and 63 kg C tree-1 in the arid zone to 3.7 Mg C ha-1 and 98 kg tree-1 in the sub-humid zone. Overall, we estimated the total carbon for our study area to be 0.84 (±19.8%) Pg C. Comparisons with 14 previous TRENDY numerical simulation studies23 for our area found that the density and carbon stocks of scattered trees have been underestimated by three models and overestimated by 11 models, respectively. This benchmarking can help understand the carbon cycle and address concerns about land degradation24-29. We make available a linked database of wood mass, foliage mass, root mass and carbon stock of each tree for scientists, policymakers, dryland-restoration practitioners and farmers, who can use it to estimate farmland tree carbon stocks from tablets or laptops.
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Affiliation(s)
- Compton Tucker
- Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, MD, USA.
| | - Martin Brandt
- Science Systems and Applications, Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA.
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark.
| | - Pierre Hiernaux
- Science Systems and Applications, Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA.
- Pastoralisme Conseil, Caylus, France.
| | - Ankit Kariryaa
- Science Systems and Applications, Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
- Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
| | - Kjeld Rasmussen
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Jennifer Small
- Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, MD, USA
- Science Systems and Applications, Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Christian Igel
- Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
| | - Florian Reiner
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Katherine Melocik
- Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, MD, USA
- Science Systems and Applications, Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Jesse Meyer
- Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, MD, USA
- Science Systems and Applications, Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Scott Sinno
- Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, MD, USA
- Science Systems and Applications, Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Eric Romero
- Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, MD, USA
- Science Systems and Applications, Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Erin Glennie
- Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, MD, USA
- Science Systems and Applications, Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Yasmin Fitts
- Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, MD, USA
- Science Systems and Applications, Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - August Morin
- Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, MD, USA
- Science Systems and Applications, Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Jorge Pinzon
- Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, MD, USA
- Science Systems and Applications, Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Devin McClain
- Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, MD, USA
- Science Systems and Applications, Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Paul Morin
- Learning and Environmental Sciences, University of Minnesota, Saint Paul, MN, USA
| | - Claire Porter
- Learning and Environmental Sciences, University of Minnesota, Saint Paul, MN, USA
| | - Shane Loeffler
- Learning and Environmental Sciences, University of Minnesota, Saint Paul, MN, USA
| | - Laurent Kergoat
- Géosciences Environnement Toulouse, Observatoire Midi-Pyrénées, UMR 5563 (CNRS/UPS/IRD/CNES), Toulouse, France
| | | | | | | | - Benjamin Poulter
- Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, CE Orme des Merisiers, Gif sur Yvette, France
| | - Robert Kaufmann
- Department of Earth & Environment, Boston University, Boston, MA, USA
| | - Ranga Myneni
- Department of Earth & Environment, Boston University, Boston, MA, USA
| | - Sassan Saatchi
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
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11
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Mugabowindekwe M, Brandt M, Chave J, Reiner F, Skole DL, Kariryaa A, Igel C, Hiernaux P, Ciais P, Mertz O, Tong X, Li S, Rwanyiziri G, Dushimiyimana T, Ndoli A, Uwizeyimana V, Lillesø JPB, Gieseke F, Tucker CJ, Saatchi S, Fensholt R. Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda. Nat Clim Chang 2022; 13:91-97. [PMID: 36684409 PMCID: PMC9845119 DOI: 10.1038/s41558-022-01544-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 10/31/2022] [Indexed: 06/17/2023]
Abstract
Trees sustain livelihoods and mitigate climate change but a predominance of trees outside forests and limited resources make it difficult for many tropical countries to conduct automated nation-wide inventories. Here, we propose an approach to map the carbon stock of each individual overstory tree at the national scale of Rwanda using aerial imagery from 2008 and deep learning. We show that 72% of the mapped trees are located in farmlands and savannas and 17% in plantations, accounting for 48.6% of the national aboveground carbon stocks. Natural forests cover 11% of the total tree count and 51.4% of the national carbon stocks, with an overall carbon stock uncertainty of 16.9%. The mapping of all trees allows partitioning to any landscapes classification and is urgently needed for effective planning and monitoring of restoration activities as well as for optimization of carbon sequestration, biodiversity and economic benefits of trees.
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Affiliation(s)
- Maurice Mugabowindekwe
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
- Centre for Geographic Information Systems and Remote Sensing, College of Science and Technology, University of Rwanda, Kigali, Rwanda
| | - Martin Brandt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Jérôme Chave
- Laboratoire Evolution et Diversité Biologique, CNRS, UPS, IRD, Université Paul Sabatier, Toulouse, France
| | - Florian Reiner
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - David L. Skole
- Global Observatory for Ecosystem Services, Department of Forestry, Michigan State University, East Lansing, MI USA
| | - Ankit Kariryaa
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
- Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
| | - Christian Igel
- Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
| | | | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l’Environnement, CEA/CNRS/UVSQ/Université Paris Saclay, Gif-sur-Yvette, France
| | - Ole Mertz
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Xiaoye Tong
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Sizhuo Li
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
- Université Paris Saclay, Gif-sur-Yvette, France
| | - Gaspard Rwanyiziri
- Centre for Geographic Information Systems and Remote Sensing, College of Science and Technology, University of Rwanda, Kigali, Rwanda
- Department of Geography and Urban Planning, College of Science and Technology, University of Rwanda, Kigali, Rwanda
| | - Thaulin Dushimiyimana
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Alain Ndoli
- International Union for Conservation of Nature—Eastern and Southern Africa Region, Kigali, Rwanda
| | - Valens Uwizeyimana
- General Directorate of Land, Water, and Forestry, Ministry of Environment, Kigali, Rwanda
- Division of Forest, Nature and Landscape, Department of Earth and Environmental Sciences, KU Leuven, Leuven, Belgium
| | | | - Fabian Gieseke
- Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
- Department of Information Systems, University of Münster, Münster, Germany
| | - Compton J. Tucker
- Earth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, MD USA
| | - Sassan Saatchi
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
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12
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Zhang XM, Brandt M, Yue YM, Tong XW, Wang KL, Fensholt R. The Carbon Sink Potential of Southern China After Two Decades of Afforestation. Earths Future 2022; 10:e2022EF002674. [PMID: 37035441 PMCID: PMC10078587 DOI: 10.1029/2022ef002674] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 10/05/2022] [Accepted: 11/04/2022] [Indexed: 06/19/2023]
Abstract
Afforestation and land use changes that sequester carbon from the atmosphere in the form of woody biomass have turned southern China into one of the largest carbon sinks globally, which contributes to mitigating climate change. However, forest growth saturation and available land that can be forested limit the longevity of this carbon sink, and while a plethora of studies have quantified vegetation changes over the last decades, the remaining carbon sink potential of this area is currently unknown. Here, we train a model with multiple predictors characterizing the heterogeneous landscapes of southern China and predict the biomass carbon carrying capacity of the region for 2002-2017. We compare observed and predicted biomass carbon density and find that during about two decades of afforestation, 2.34 PgC have been sequestered between 2002 and 2017, and a total of 5.32 Pg carbon can potentially still be sequestrated. This means that the region has reached 73% of its aboveground biomass carbon carrying capacity in 2017, which is 12% more than in 2002, equal to a decrease of 0.77% per year. We identify potential afforestation areas that can still sequester 2.39 PgC, while old and new forests have reached 87% of their potential with 1.85 PgC remaining. Our work locates areas where vegetation has not yet reached its full potential but also shows that afforestation is not a long-term solution for climate change mitigation.
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Affiliation(s)
- X. M. Zhang
- Guangxi Key Laboratory of Karst Ecological Processes and ServicesInstitute of Subtropical AgricultureChinese Academy of SciencesChangshaChina
- Huanjiang Observation and Research Station for Karst EcosystemChinese Academy of SciencesHuanjiangChina
- University of Chinese Academy of SciencesBeijngChina
| | - M. Brandt
- Department of Geosciences and Natural Resource ManagementUniversity of CopenhagenCopenhagenDenmark
| | - Y. M. Yue
- Guangxi Key Laboratory of Karst Ecological Processes and ServicesInstitute of Subtropical AgricultureChinese Academy of SciencesChangshaChina
- Huanjiang Observation and Research Station for Karst EcosystemChinese Academy of SciencesHuanjiangChina
| | - X. W. Tong
- Guangxi Key Laboratory of Karst Ecological Processes and ServicesInstitute of Subtropical AgricultureChinese Academy of SciencesChangshaChina
- Department of Geosciences and Natural Resource ManagementUniversity of CopenhagenCopenhagenDenmark
| | - K. L. Wang
- Guangxi Key Laboratory of Karst Ecological Processes and ServicesInstitute of Subtropical AgricultureChinese Academy of SciencesChangshaChina
- Huanjiang Observation and Research Station for Karst EcosystemChinese Academy of SciencesHuanjiangChina
| | - R. Fensholt
- Department of Geosciences and Natural Resource ManagementUniversity of CopenhagenCopenhagenDenmark
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13
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Taugourdeau S, Diedhiou A, Fassinou C, Bossoukpe M, Diatta O, N’Goran A, Auderbert A, Ndiaye O, Diouf AA, Tagesson T, Fensholt R, Faye E. Estimating herbaceous aboveground biomass in Sahelian rangelands using Structure from Motion data collected on the ground and by UAV. Ecol Evol 2022; 12:e8867. [PMID: 35509616 PMCID: PMC9057245 DOI: 10.1002/ece3.8867] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 04/03/2022] [Accepted: 04/07/2022] [Indexed: 12/04/2022] Open
Abstract
Herbaceous aboveground biomass (HAB) is a key indicator of grassland vegetation and indirect estimation tools, such as remote sensing imagery, increase the potential for covering larger areas in a timely and cost‐efficient way. Structure from Motion (SfM) is an image analysis process that can create a variety of 3D spatial models as well as 2D orthomosaics from a set of images. Computed from Unmanned Aerial Vehicle (UAV) and ground camera measurements, the SfM potential to estimate the herbaceous aboveground biomass in Sahelian rangelands was tested in this study. Both UAV and ground camera recordings were used at three different scales: temporal, landscape, and national (across Senegal). All images were processed using PIX4D software (photogrammetry software) and were used to extract vegetation indices and heights. A random forest algorithm was used to estimate the HAB and the average estimation errors were around 150 g m−² for fresh mass (20% relative error) and 60 g m−² for dry mass (around 25% error). A comparison between different datasets revealed that the estimates based on camera data were slightly more accurate than those from UAV data. It was also found that combining datasets across scales for the same type of tool (UAV or camera) could be a useful option for monitoring HAB in Sahelian rangelands or in other grassy ecosystems.
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Affiliation(s)
- Simon Taugourdeau
- CIRAD UMR SELMET‐ PPZS Dakar Senegal
- UMR SELMET CIRAD, INRA Institut Agro Univ Montpellier Montpellier France
| | | | - Cofélas Fassinou
- Departement Biologie végétale ‐ PPZS UCAD Dakar Senegal
- ISRA CRZ (Centre de Recherches Zootechniques) Dahra‐PPZS Dahra Djoloff Senegal
| | | | - Ousmane Diatta
- Departement Biologie végétale ‐ PPZS UCAD Dakar Senegal
- ISRA CRZ (Centre de Recherches Zootechniques) Dahra‐PPZS Dahra Djoloff Senegal
| | - Ange N’Goran
- Departement Biologie végétale ‐ PPZS UCAD Dakar Senegal
- ISRA CRZ (Centre de Recherches Zootechniques) Dahra‐PPZS Dahra Djoloff Senegal
| | - Alain Auderbert
- CIRAD, INRAE UMR AGAP Institut Univ Montpellier Montpellier France
| | - Ousmane Ndiaye
- ISRA CRZ (Centre de Recherches Zootechniques) Dahra‐PPZS Dahra Djoloff Senegal
| | | | - Torbern Tagesson
- Department of Physical Geography and Ecosystem Science Lund University Lund Sweden
- Department of Geosciences and Natural Resource Management University of Copenhagen Copenhagen Denmark
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management University of Copenhagen Copenhagen Denmark
| | - Emile Faye
- UPR Hortsys CIRAD Univ Montpellier Montpellier France
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14
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Kazmierczak J, Postma D, Dang T, Hoang HV, Larsen F, Hass AE, Hoffmann AH, Fensholt R, Pham NQ, Jakobsen R. Groundwater arsenic content related to the sedimentology and stratigraphy of the Red River delta, Vietnam. Sci Total Environ 2022; 814:152641. [PMID: 34963605 PMCID: PMC8850656 DOI: 10.1016/j.scitotenv.2021.152641] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 12/18/2021] [Accepted: 12/19/2021] [Indexed: 05/13/2023]
Abstract
Arsenic (As) is highly toxic and over 100 million people living on the floodplains of Asia are exposed to excessive groundwater As. A very large spatial variability over small distances has been observed in the groundwater As concentrations. Advances in the prediction of the As distribution in aquifers would support drinking water management. The application of remote sensing of geomorphic paleo river features combined with geological, geophysical and archeological data and available groundwater As measurements may be used to predict groundwater As levels in rural areas, as shown by the example from the Red River delta, Vietnam. Groundwater in sediments deposited in the marine environment is low in As, probably due to the precipitation of As in sulfide minerals under anoxic conditions. Groundwater As levels in freshwater alluvial deposits in undisturbed floodplain areas are slightly increased and the highest As concentrations are associated with meander belts. The meander belts remain clearly visible in remote sensing and may well reflect the youngest preserved alluvial sediments. High As levels in the meander belt aquifers are probably related to the availability of highly reactive organic matter and consequent reduction of iron oxyhydroxides and As release. Furthermore, given similar hydrogeological conditions, the extent of flushing of As from the youngest alluvial sands is limited compared to the older Pleistocene sands. Even within abandoned meander belts a high spatial variability of As concentrations was observed. The younger channel belts (<1 ka BP) and old Holocene aquifers below undisturbed floodplain environments deposited during a period with high sea level host groundwater enriched in As. Low As groundwater is found in sandy channel belts deposited during the regression of the sea and in Pleistocene islands preserved within the floodplain. The decisive influence of the depositional environment of the aquifer sediments on groundwater As content is revealed.
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Affiliation(s)
- Jolanta Kazmierczak
- Geological Survey of Denmark and Greenland, Department of Geochemistry, Øster Voldgade 10, 1350 Copenhagen, Denmark.
| | - Dieke Postma
- Geological Survey of Denmark and Greenland, Department of Geochemistry, Øster Voldgade 10, 1350 Copenhagen, Denmark
| | - Trung Dang
- Hanoi University of Science and Technology, Department of Geology, Hanoi, Vietnam
| | - Hoan Van Hoang
- Hanoi University of Mining and Geology, Department of Hydrology, Hanoi, Vietnam
| | - Flemming Larsen
- Geological Survey of Denmark and Greenland, Department of Geochemistry, Øster Voldgade 10, 1350 Copenhagen, Denmark
| | - Andreas Elmelund Hass
- University of Copenhagen, Department of Geosciences and Natural Resource Management, Copenhagen, Denmark
| | - Andreas Hvam Hoffmann
- University of Copenhagen, Department of Geosciences and Natural Resource Management, Copenhagen, Denmark
| | - Rasmus Fensholt
- University of Copenhagen, Department of Geosciences and Natural Resource Management, Copenhagen, Denmark
| | - Nhan Quy Pham
- Hanoi University of Science and Technology, Department of Geology, Hanoi, Vietnam
| | - Rasmus Jakobsen
- Geological Survey of Denmark and Greenland, Department of Geochemistry, Øster Voldgade 10, 1350 Copenhagen, Denmark
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15
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Wei F, Wang S, Fu B, Brandt M, Pan N, Wang C, Fensholt R. Response to concerns about the African fire trends controlled by precipitation over recent decades. Glob Chang Biol 2022; 28:e4-e6. [PMID: 34856040 DOI: 10.1111/gcb.16020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 11/17/2021] [Accepted: 11/21/2021] [Indexed: 06/13/2023]
Abstract
Croplands expanded in Africa over recent decades, even though the increasing trends are spatially heterogeneous.
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Affiliation(s)
- Fangli Wei
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Shuai Wang
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, China
| | - Bojie Fu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Martin Brandt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Naiqing Pan
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, Alabama, USA
| | - Cong Wang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
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16
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Fang Z, Brandt M, Wang L, Fensholt R. A global increase in tree cover extends the growing season length as observed from satellite records. Sci Total Environ 2022; 806:151205. [PMID: 34710418 DOI: 10.1016/j.scitotenv.2021.151205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 10/20/2021] [Accepted: 10/21/2021] [Indexed: 06/13/2023]
Abstract
Plant phenology provides information on the seasonal dynamics of plants, and changes herein are important for understanding the impact of climate change and human management on the biosphere. Land surface phenology is the study of plant phenology across large spatial scales estimated by satellite observations. However, satellite observations (pixels) are often composed of a mixture of vegetation types, like woody vegetation and herbaceous vegetation, having different phenological characteristics. Therefore, any changes in tree cover presumably impact land surface phenology, as trees usually have a different seasonal cycle compared to herbaceous vegetation. On the other hand, changes in land surface phenology are often interpreted as a result of climate change-induced impacts on the photosynthetic activity of vegetation. Therefore, it is important to better understand the role of changes in vegetation cover (here, the proportion between tree and short vegetation cover) in satellite-derived land surface phenology analysis. We studied the impact of changes in tree cover on satellite observed land surface phenology at a global scale over the past three decades. We found an extension of the growing season length in 36.6% of the areas where tree cover increased, whereas only 20.1% of the areas where tree cover decreased showed an increase in growing season length. Furthermore, the ratio between tree cover and short vegetation cover was found to affect changes in the length of the growing season, with the denser tree cover showing a more pronounced extension of the growing season length (especially in boreal forests). These results highlight the importance of changes in tree cover when analyzing the impact of climate change on vegetation phenology. Our study thereby addresses a critical knowledge gap for an improved understanding of changes in land surface phenology during recent decades in the context of climate and human-induced global land cover change.
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Affiliation(s)
- Zhongxiang Fang
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Martin Brandt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Lanhui Wang
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark; Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, Aarhus, Denmark.
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
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17
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Olsen VM, Fensholt R, Olofsson P, Bonifacio R, Butsic V, Druce D, Ray D, Prishchepov AV. Author Correction: The impact of conflict-driven cropland abandonment on food insecurity in South Sudan revealed using satellite remote sensing. Nat Food 2022; 3:87. [PMID: 37118496 DOI: 10.1038/s43016-022-00459-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Affiliation(s)
- Victor Mackenhauer Olsen
- Department of Geosciences and Natural Resource Management (IGN), University of Copenhagen, København, Denmark.
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management (IGN), University of Copenhagen, København, Denmark
| | - Pontus Olofsson
- Department of Earth and Environment, Boston University, Boston, MA, USA
| | - Rogerio Bonifacio
- Vulnerability Analysis and Mapping (VAM), United Nations World Food Programme (WFP), Rome, Italy
| | - Van Butsic
- Department of Environmental Science, Policy & Management, University of California, Berkeley, CA, USA
| | | | - Deepak Ray
- Institute on the Environment (IonE), University of Minnesota, St. Paul, MN, USA
| | - Alexander V Prishchepov
- Department of Geosciences and Natural Resource Management (IGN), University of Copenhagen, København, Denmark
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18
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Olsen VM, Fensholt R, Olofsson P, Bonifacio R, Butsic V, Druce D, Ray D, Prishchepov AV. The impact of conflict-driven cropland abandonment on food insecurity in South Sudan revealed using satellite remote sensing. Nat Food 2021; 2:990-996. [PMID: 37118254 DOI: 10.1038/s43016-021-00417-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 11/01/2021] [Indexed: 04/30/2023]
Abstract
Armed conflicts often hinder food security through cropland abandonment and restrict the collection of on-the-ground information required for targeted relief distribution. Satellite remote sensing provides a means for gathering information about disruptions during armed conflicts and assessing the food security status in conflict zones. Using ~7,500 multisource satellite images, we implemented a data-driven approach that showed a reduction in cultivated croplands in war-ravaged South Sudan by 16% from 2016 to 2018. Propensity score matching revealed a statistical relationship between cropland abandonment and armed conflicts that contributed to drastic decreases in food supply. Our analysis shows that the abandoned croplands could have supported at least a quarter of the population in the southern states of South Sudan and demonstrates that remote sensing can play a crucial role in the assessment of cropland abandonment in food-insecure regions, thereby improving the basis for timely aid provision.
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Affiliation(s)
- Victor Mackenhauer Olsen
- Department of Geosciences and Natural Resource Management (IGN), University of Copenhagen, København, Denmark.
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management (IGN), University of Copenhagen, København, Denmark
| | - Pontus Olofsson
- Department of Earth and Environment, Boston University, Boston, MA, USA
| | - Rogerio Bonifacio
- Vulnerability Analysis and Mapping (VAM), United Nations World Food Programme (WFP), Rome, Italy
| | - Van Butsic
- Department of Environmental Science, Policy & Management, University of California, Berkeley, CA, USA
| | | | - Deepak Ray
- Institute on the Environment (IonE), University of Minnesota, St. Paul, MN, USA
| | - Alexander V Prishchepov
- Department of Geosciences and Natural Resource Management (IGN), University of Copenhagen, København, Denmark
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19
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Pastorello G, Trotta C, Canfora E, Chu H, Christianson D, Cheah YW, Poindexter C, Chen J, Elbashandy A, Humphrey M, Isaac P, Polidori D, Reichstein M, Ribeca A, van Ingen C, Vuichard N, Zhang L, Amiro B, Ammann C, Arain MA, Ardö J, Arkebauer T, Arndt SK, Arriga N, Aubinet M, Aurela M, Baldocchi D, Barr A, Beamesderfer E, Marchesini LB, Bergeron O, Beringer J, Bernhofer C, Berveiller D, Billesbach D, Black TA, Blanken PD, Bohrer G, Boike J, Bolstad PV, Bonal D, Bonnefond JM, Bowling DR, Bracho R, Brodeur J, Brümmer C, Buchmann N, Burban B, Burns SP, Buysse P, Cale P, Cavagna M, Cellier P, Chen S, Chini I, Christensen TR, Cleverly J, Collalti A, Consalvo C, Cook BD, Cook D, Coursolle C, Cremonese E, Curtis PS, D'Andrea E, da Rocha H, Dai X, Davis KJ, De Cinti B, de Grandcourt A, De Ligne A, De Oliveira RC, Delpierre N, Desai AR, Di Bella CM, di Tommasi P, Dolman H, Domingo F, Dong G, Dore S, Duce P, Dufrêne E, Dunn A, Dušek J, Eamus D, Eichelmann U, ElKhidir HAM, Eugster W, Ewenz CM, Ewers B, Famulari D, Fares S, Feigenwinter I, Feitz A, Fensholt R, Filippa G, Fischer M, Frank J, Galvagno M, Gharun M, Gianelle D, Gielen B, Gioli B, Gitelson A, Goded I, Goeckede M, Goldstein AH, Gough CM, Goulden ML, Graf A, Griebel A, Gruening C, Grünwald T, Hammerle A, Han S, Han X, Hansen BU, Hanson C, Hatakka J, He Y, Hehn M, Heinesch B, Hinko-Najera N, Hörtnagl L, Hutley L, Ibrom A, Ikawa H, Jackowicz-Korczynski M, Janouš D, Jans W, Jassal R, Jiang S, Kato T, Khomik M, Klatt J, Knohl A, Knox S, Kobayashi H, Koerber G, Kolle O, Kosugi Y, Kotani A, Kowalski A, Kruijt B, Kurbatova J, Kutsch WL, Kwon H, Launiainen S, Laurila T, Law B, Leuning R, Li Y, Liddell M, Limousin JM, Lion M, Liska AJ, Lohila A, López-Ballesteros A, López-Blanco E, Loubet B, Loustau D, Lucas-Moffat A, Lüers J, Ma S, Macfarlane C, Magliulo V, Maier R, Mammarella I, Manca G, Marcolla B, Margolis HA, Marras S, Massman W, Mastepanov M, Matamala R, Matthes JH, Mazzenga F, McCaughey H, McHugh I, McMillan AMS, Merbold L, Meyer W, Meyers T, Miller SD, Minerbi S, Moderow U, Monson RK, Montagnani L, Moore CE, Moors E, Moreaux V, Moureaux C, Munger JW, Nakai T, Neirynck J, Nesic Z, Nicolini G, Noormets A, Northwood M, Nosetto M, Nouvellon Y, Novick K, Oechel W, Olesen JE, Ourcival JM, Papuga SA, Parmentier FJ, Paul-Limoges E, Pavelka M, Peichl M, Pendall E, Phillips RP, Pilegaard K, Pirk N, Posse G, Powell T, Prasse H, Prober SM, Rambal S, Rannik Ü, Raz-Yaseef N, Rebmann C, Reed D, de Dios VR, Restrepo-Coupe N, Reverter BR, Roland M, Sabbatini S, Sachs T, Saleska SR, Sánchez-Cañete EP, Sanchez-Mejia ZM, Schmid HP, Schmidt M, Schneider K, Schrader F, Schroder I, Scott RL, Sedlák P, Serrano-Ortíz P, Shao C, Shi P, Shironya I, Siebicke L, Šigut L, Silberstein R, Sirca C, Spano D, Steinbrecher R, Stevens RM, Sturtevant C, Suyker A, Tagesson T, Takanashi S, Tang Y, Tapper N, Thom J, Tomassucci M, Tuovinen JP, Urbanski S, Valentini R, van der Molen M, van Gorsel E, van Huissteden K, Varlagin A, Verfaillie J, Vesala T, Vincke C, Vitale D, Vygodskaya N, Walker JP, Walter-Shea E, Wang H, Weber R, Westermann S, Wille C, Wofsy S, Wohlfahrt G, Wolf S, Woodgate W, Li Y, Zampedri R, Zhang J, Zhou G, Zona D, Agarwal D, Biraud S, Torn M, Papale D. Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Sci Data 2021; 8:72. [PMID: 33633116 PMCID: PMC7907353 DOI: 10.1038/s41597-021-00851-9] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Affiliation(s)
- Gilberto Pastorello
- Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
| | - Carlo Trotta
- DIBAF, University of Tuscia, Viterbo, 01100, Italy
| | - Eleonora Canfora
- DIBAF, University of Tuscia, Viterbo, 01100, Italy.,Euro-Mediterranean Centre on Climate Change Foundation (CMCC), Lecce, 73100, Italy
| | - Housen Chu
- Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Danielle Christianson
- Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - You-Wei Cheah
- Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Cristina Poindexter
- Department of Civil Engineering, California State University, Sacramento, CA, 95819, USA
| | - Jiquan Chen
- Department of Geography, Environment, and Spatial Sciences, Michigan State University, East Lansing, MI, 48823, USA
| | - Abdelrahman Elbashandy
- Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Marty Humphrey
- Department of Computer Science, University of Virginia, Charlottesville, VA, 22904, USA
| | - Peter Isaac
- TERN Ecosystem Processes, Menzies Creek, VIC3159, Australia
| | - Diego Polidori
- DIBAF, University of Tuscia, Viterbo, 01100, Italy.,Euro-Mediterranean Centre on Climate Change Foundation (CMCC), Lecce, 73100, Italy
| | | | - Alessio Ribeca
- DIBAF, University of Tuscia, Viterbo, 01100, Italy.,Euro-Mediterranean Centre on Climate Change Foundation (CMCC), Lecce, 73100, Italy
| | - Catharine van Ingen
- Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Nicolas Vuichard
- Laboratoire des Sciences du Climat et de l'Environnement (LSCE), CEA CNRS, UVSQ UPSACLAY, Gif sur Yvette, 91190, France
| | - Leiming Zhang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Brian Amiro
- Department of Soil Science, University of Manitoba, Winnipeg, MB, R3T2N2, Canada
| | - Christof Ammann
- Department of Agroecology and Environment, Agroscope Research Institute, Zürich, 8046, Switzerland
| | - M Altaf Arain
- School of Geography and Earth Sciences, McMaster University, L8S4K1, Hamilton, ON, Canada
| | - Jonas Ardö
- Department of Physical Geography and Ecosystem Science, Lund University, Lund, 22362, Sweden
| | - Timothy Arkebauer
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, 68583, USA
| | - Stefan K Arndt
- School of Ecosystem and Forest Sciences, The University of Melbourne, Richmond, VIC3121, Australia
| | - Nicola Arriga
- Department of Biology, Research Group PLECO, University of Antwerp, Antwerp, 2610, Belgium.,Joint Research Centre, European Commission, Ispra, 21027, Italy
| | - Marc Aubinet
- TERRA Teaching and Research Center, University of Liege, Gembloux, B-5030, Belgium
| | - Mika Aurela
- Finnish Meteorological Institute, Helsinki, 00560, Finland
| | - Dennis Baldocchi
- ESPM, University of California Berkeley, Berkeley, CA, 94720, USA
| | - Alan Barr
- Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK, S7N3H5, Canada.,Climate Research Division, Environment and Climate Change Canada, Saskatoon, SK, S7N3H5, Canada
| | - Eric Beamesderfer
- School of Geography and Earth Sciences, McMaster University, L8S4K1, Hamilton, ON, Canada
| | - Luca Belelli Marchesini
- Department of Sustainable Agro-ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele All'adige, 38010, Italy.,Department of Landscape Design and Sustainable Ecosystems, Agrarian-Technological Institute, RUDN University, Moscow, 117198, Russia
| | - Onil Bergeron
- Direction du marché du carbone, Ministère du Développement durable de l'Environnement et de la Lutte contre les changements climatiques, Québec, QC, G1R5V7, Canada
| | - Jason Beringer
- School of Agriculture and Environment, University of Western Australia, Crawley, 6009, Australia
| | - Christian Bernhofer
- Institute of Hydrology and Meteorology, Technische Universität Dresden, Tharandt, 01737, Germany
| | - Daniel Berveiller
- Université Paris-Saclay, CNRS, AgroParisTech, Ecologie Systématique et Evolution, Orsay, 91405, France
| | - Dave Billesbach
- Biological Systems Engineering, University of Nebraska-Lincoln, Lincoln, NE, 68583, USA
| | - Thomas Andrew Black
- Faculty of Land and Food Systems, University of British Columbia, Vancouver, BC, V6T1Z4, Canada
| | - Peter D Blanken
- Department of Geography, University of Colorado, Boulder, CO, 80309, USA
| | - Gil Bohrer
- Department of Civil, Environmental & Geodetic Engineering, Ohio State University, Columbus, OH, 43210, USA
| | - Julia Boike
- Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam, 14482, Germany.,Geography Department, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Paul V Bolstad
- Forest Resources, University of Minnesota, St Paul, MN, 55108, USA
| | - Damien Bonal
- Université de Lorraine, AgroParisTech, INRAE, UMR Silva, Nancy, 54000, France
| | | | - David R Bowling
- School of Biological Sciences, University of Utah, Salt Lake City, UT, 84112, USA
| | - Rosvel Bracho
- School of Forest Resources and Conservation, University of Florida, Gainesville, FL, 32611, USA
| | - Jason Brodeur
- McMaster University Library, McMaster University, Hamilton, ON, L8S4L6, Canada
| | - Christian Brümmer
- Thünen Institute of Climate-Smart Agriculture, Federal Research Institute of Rural Areas, Forestry and Fisheries, Braunschweig, 38116, Germany
| | - Nina Buchmann
- Department of Environmental Systems Science, ETH Zurich, Zurich, 8092, Switzerland
| | | | - Sean P Burns
- Department of Geography, University of Colorado, Boulder, CO, 80309, USA.,Mesoscale and Microscale Meteorology Laboratory, National Center for Atmospheric Research, Boulder, CO, 80301, USA
| | - Pauline Buysse
- Université Paris-Saclay, INRAE, AgroParisTech, UMR ECOSYS, Thiverval-Grignon, 78850, France
| | - Peter Cale
- Australian Landscape Trust, Renmark, SA5341, Australia
| | - Mauro Cavagna
- Department of Sustainable Agro-ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele All'adige, 38010, Italy
| | - Pierre Cellier
- Université Paris-Saclay, INRAE, AgroParisTech, UMR ECOSYS, Thiverval-Grignon, 78850, France
| | - Shiping Chen
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Isaac Chini
- Department of Sustainable Agro-ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele All'adige, 38010, Italy
| | - Torben R Christensen
- Department of Bioscience, Arctic Research Center, Aarhus University, Roskilde, 4000, Denmark
| | - James Cleverly
- School of Life Sciences, University of Technology Sydney, Sydney, 2007, Australia.,Terrestrial Ecosystem Research Network TERN, University of Technology, Sydney, 2007, Australia
| | - Alessio Collalti
- DIBAF, University of Tuscia, Viterbo, 01100, Italy.,Institute for Agricultural and Forestry Systems in the Mediterranean, National Research Council of Italy, Ercolano, 80056, Italy
| | - Claudia Consalvo
- DIBAF, University of Tuscia, Viterbo, 01100, Italy.,Research Institute on Terrestrial Ecosystems, National Research Council of Italy, Porano, 05010, Italy
| | - Bruce D Cook
- Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA
| | - David Cook
- Environmental Science Division, Argonne National Laboratory, Lemont, IL, 60439, USA
| | - Carole Coursolle
- Canadian Forest Service, Natural Resources Canada, Québec, QC, G1V4C7, Canada.,Centre d'étude de la forêt, Faculté de foresterie, de géographie et de géomatique, Université Laval, Québec, QC, G1V0A6, Canada
| | - Edoardo Cremonese
- Climate Change Unit, Environmental Protection Agency of Aosta Valley, Saint Christophe, 11020, Italy
| | - Peter S Curtis
- Department of Evolution, Ecology, and Organismal Biology, Ohio State University, Columbus, OH, 43210, USA
| | - Ettore D'Andrea
- Institute for Agricultural and Forestry Systems in the Mediterranean, National Research Council of Italy, Ercolano, 80056, Italy
| | - Humberto da Rocha
- Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidade de São Paulo, São Paulo, SP, 01000-000, Brazil
| | - Xiaoqin Dai
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Kenneth J Davis
- Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Bruno De Cinti
- Institute of Research on Terrestrial Ecosystems, National Research Council of Italy, Montelibretti, 00010, Italy
| | | | - Anne De Ligne
- TERRA Teaching and Research Center, University of Liege, Gembloux, B-5030, Belgium
| | | | - Nicolas Delpierre
- Université Paris-Saclay, CNRS, AgroParisTech, Ecologie Systématique et Evolution, Orsay, 91405, France
| | - Ankur R Desai
- Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Carlos Marcelo Di Bella
- Departamento de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, UBA, Buenos Aires, 1417, Argentina
| | - Paul di Tommasi
- Institute for Agricultural and Forestry Systems in the Mediterranean, National Research Council of Italy, Ercolano, 80056, Italy
| | - Han Dolman
- Department of Earth Sciences, Vrije Universiteit Amsterdam, Amsterdam, 1081 HV, The Netherlands
| | - Francisco Domingo
- Desertification and Geoecology Department, Experimental Station of Arid Zones, CSIC, Almería, 04120, Spain
| | - Gang Dong
- School of Life Science, Shanxi University, Taiyuan, 030006, China
| | | | - Pierpaolo Duce
- Institute of BioEconomy, National Research Council of Italy, Sassari, 07100, Italy
| | - Eric Dufrêne
- Université Paris-Saclay, CNRS, AgroParisTech, Ecologie Systématique et Evolution, Orsay, 91405, France
| | - Allison Dunn
- Department of Earth, Environment, and Physics, Worcester State University, Worcester, MA, 01602, USA
| | - Jiří Dušek
- Department of Matter and Energy Fluxes, Global Change Research Institute of the Czech Academy of Sciences, Brno, 60300, Czech Republic
| | - Derek Eamus
- School of Life Sciences, University of Technology Sydney, Sydney, 2007, Australia
| | - Uwe Eichelmann
- Institute of Hydrology and Meteorology, Technische Universität Dresden, Tharandt, 01737, Germany
| | | | - Werner Eugster
- Department of Environmental Systems Science, ETH Zurich, Zurich, 8092, Switzerland
| | - Cacilia M Ewenz
- Airborne Research Australia, TERN Ecosystem Processes Central Node, Parafield, 5106, Australia
| | - Brent Ewers
- Department of Botany, Program in Ecology, University of Wyoming, 1000 E. Univ. Ave, Laramie, WY, 82071, USA
| | - Daniela Famulari
- Institute for Agricultural and Forestry Systems in the Mediterranean, National Research Council of Italy, Ercolano, 80056, Italy
| | - Silvano Fares
- Institute of BioEconomy, National Research Council of Italy, Rome, 00100, Italy.,Research Centre for Forestry and Wood, Council for Agricultural Research and Economics, Rome, 00166, Italy
| | - Iris Feigenwinter
- Department of Environmental Systems Science, ETH Zurich, Zurich, 8092, Switzerland
| | | | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, 1350, Denmark
| | - Gianluca Filippa
- Climate Change Unit, Environmental Protection Agency of Aosta Valley, Saint Christophe, 11020, Italy
| | - Marc Fischer
- Energy Analysis & Environmental Impacts Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - John Frank
- USDA Forest Service, Rocky Mountain Research Station, Fort Collins, CO, 80526, USA
| | - Marta Galvagno
- Climate Change Unit, Environmental Protection Agency of Aosta Valley, Saint Christophe, 11020, Italy
| | - Mana Gharun
- Department of Environmental Systems Science, ETH Zurich, Zurich, 8092, Switzerland
| | - Damiano Gianelle
- Department of Sustainable Agro-ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele All'adige, 38010, Italy
| | - Bert Gielen
- Department of Biology, Research Group PLECO, University of Antwerp, Antwerp, 2610, Belgium
| | - Beniamino Gioli
- Institute of BioEconomy, National Research Council of Italy, Firenze, 50145, Italy
| | - Anatoly Gitelson
- School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, 68583, USA
| | - Ignacio Goded
- Joint Research Centre, European Commission, Ispra, 21027, Italy
| | | | | | - Christopher M Gough
- Department of Biology, Virginia Commonwealth University, Richmond, VA, 23284, USA
| | - Michael L Goulden
- Department of Earth System Science, University of California, Irvine, CA, 92697, USA
| | - Alexander Graf
- Agrosphere (IBG3), Forschungszentrum Jülich, Jülich, 52428, Germany
| | - Anne Griebel
- School of Ecosystem and Forest Sciences, The University of Melbourne, Richmond, VIC3121, Australia
| | | | - Thomas Grünwald
- Institute of Hydrology and Meteorology, Technische Universität Dresden, Tharandt, 01737, Germany
| | - Albin Hammerle
- Department of Ecology, University of Innsbruck, Innsbruck, 6020, Austria
| | - Shijie Han
- International Joint Research Laboratory for Global Change Ecology, School of Life Sciences, Henan University, Kaifeng, 450000, China.,Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China
| | - Xingguo Han
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Birger Ulf Hansen
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, 1350, Denmark
| | - Chad Hanson
- Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR, 97333, USA
| | - Juha Hatakka
- Finnish Meteorological Institute, Helsinki, 00560, Finland
| | - Yongtao He
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.,College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100190, China
| | - Markus Hehn
- Institute of Hydrology and Meteorology, Technische Universität Dresden, Tharandt, 01737, Germany
| | - Bernard Heinesch
- TERRA Teaching and Research Center, University of Liege, Gembloux, B-5030, Belgium
| | - Nina Hinko-Najera
- School of Ecosystem and Forest Sciences, The University of Melbourne, Creswick, VIC3363, Australia
| | - Lukas Hörtnagl
- Department of Environmental Systems Science, ETH Zurich, Zurich, 8092, Switzerland
| | - Lindsay Hutley
- Research Institute for the Environment and Livelihoods, Charles Darwin University, Darwin, 0909, Australia
| | - Andreas Ibrom
- Department of Environmental Engineering, Technical University of Denmark (DTU), Kongens Lyngby, 2800, Denmark
| | - Hiroki Ikawa
- Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization, Tsukuba, 305-8604, Japan
| | - Marcin Jackowicz-Korczynski
- Department of Physical Geography and Ecosystem Science, Lund University, Lund, 22362, Sweden.,Department of Bioscience, Arctic Research Center, Aarhus University, Roskilde, 4000, Denmark
| | - Dalibor Janouš
- Department of Matter and Energy Fluxes, Global Change Research Institute of the Czech Academy of Sciences, Brno, 60300, Czech Republic
| | - Wilma Jans
- Wageningen Environmental Research, Wageningen University and Research, Wageningen, 6708PB, The Netherlands
| | - Rachhpal Jassal
- Faculty of Land and Food Systems, University of British Columbia, Vancouver, BC, V6T1Z4, Canada
| | - Shicheng Jiang
- Key Laboratory of Vegetation Ecology, Ministry of Education, Northeast Normal University, Changchun, 130024, China
| | - Tomomichi Kato
- Research Faculty of Agriculture, Hokkaido University, Sapporo, 060-8589, Japan.,GI-Core, Hokkaido University, Sapporo, 060-0808, Japan
| | - Myroslava Khomik
- School of Geography and Earth Sciences, McMaster University, L8S4K1, Hamilton, ON, Canada.,Geography and Environmental Management, Waterloo, ON, N2L3G1, Canada
| | - Janina Klatt
- Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Garmisch-Partenkirchen, 82467, Germany
| | - Alexander Knohl
- Bioclimatology, University of Goettingen, Goettingen, 37077, Germany.,Centre of Biodiversity and Sustainable Land Use (CBL), University of Goettingen, Goettingen, 37077, Germany
| | - Sara Knox
- Department of Geography, The University of British Columbia, Vancouver, BC, V6T1Z2, Canada
| | - Hideki Kobayashi
- Research Institute for Global Change, Institute of Arctic Climate and Environment Research, Japan Agency for Marine-Earth Science and Technology, Yokoama, 236-0001, Japan
| | - Georgia Koerber
- Biological Sciences, University of Adelaide, Adelaide, SA5064, Australia
| | - Olaf Kolle
- Max Planck Institute for Biogeochemistry, Jena, 03641, Germany
| | - Yoshiko Kosugi
- Graduate School of Agriculture, Kyoto University, Kyoto, 606-8502, Japan
| | - Ayumi Kotani
- Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, 4648601, Japan
| | - Andrew Kowalski
- Department of Applied Physics, University of Granada, Granada, 18071, Spain
| | - Bart Kruijt
- Water systems and Global Change group, Wageningen University, Wageningen, 6500, The Netherlands
| | - Julia Kurbatova
- A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, 119071, Russia
| | - Werner L Kutsch
- Head Office, Integrated Carbon Observation System (ICOS ERIC), Helsinki, 00560, Finland
| | - Hyojung Kwon
- Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR, 97333, USA
| | | | - Tuomas Laurila
- Finnish Meteorological Institute, Helsinki, 00560, Finland
| | - Bev Law
- Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR, 97333, USA
| | | | - Yingnian Li
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, 810008, China
| | - Michael Liddell
- Centre for Tropical Environmental Sustainability Studies, James Cook University, Cairns, 4878, Australia
| | | | - Marryanna Lion
- Forestry and Environment Division, Forest Research Institute Malaysia (FRIM), Kepong, 52109, Malaysia
| | - Adam J Liska
- Biological Systems Engineering, University of Nebraska-Lincoln, Lincoln, NE, 68583, USA
| | - Annalea Lohila
- Finnish Meteorological Institute, Helsinki, 00560, Finland.,Institute for Atmosphere and Earth System Research/Physics, University of Helsinki, Helsinki, 00560, Finland
| | - Ana López-Ballesteros
- Department of Botany, School of Natural Sciences, Trinity College Dublin, Dublin, D02PN40, Ireland
| | - Efrén López-Blanco
- Department of Bioscience, Arctic Research Center, Aarhus University, Roskilde, 4000, Denmark
| | - Benjamin Loubet
- Université Paris-Saclay, INRAE, AgroParisTech, UMR ECOSYS, Thiverval-Grignon, 78850, France
| | - Denis Loustau
- ISPA, Bordeaux Sciences Agro, INRAE, Villenave d'Ornon, 33140, France
| | - Antje Lucas-Moffat
- Thünen Institute of Climate-Smart Agriculture, Federal Research Institute of Rural Areas, Forestry and Fisheries, Braunschweig, 38116, Germany.,German Meteorological Service (DWD), Centre for Agrometeorological Research, Braunschweig, 38116, Germany
| | - Johannes Lüers
- Micrometeorology, University of Bayreuth, Bayreuth, 95440, Germany.,Bayreuth Center of Ecology and Environmental Research, 95448, Bayreuth, Germany
| | - Siyan Ma
- ESPM, University of California Berkeley, Berkeley, CA, 94720, USA
| | | | - Vincenzo Magliulo
- Institute for Agricultural and Forestry Systems in the Mediterranean, National Research Council of Italy, Ercolano, 80056, Italy
| | - Regine Maier
- Department of Environmental Systems Science, ETH Zurich, Zurich, 8092, Switzerland
| | - Ivan Mammarella
- Institute for Atmosphere and Earth System Research/Physics, University of Helsinki, Helsinki, 00560, Finland
| | - Giovanni Manca
- Joint Research Centre, European Commission, Ispra, 21027, Italy
| | - Barbara Marcolla
- Department of Sustainable Agro-ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele All'adige, 38010, Italy
| | - Hank A Margolis
- Centre d'étude de la forêt, Faculté de foresterie, de géographie et de géomatique, Université Laval, Québec, QC, G1V0A6, Canada
| | - Serena Marras
- Euro-Mediterranean Centre on Climate Change Foundation (CMCC), Lecce, 73100, Italy.,Department of Agriculture, University of Sassari, Sassari, 07100, Italy
| | - William Massman
- USDA Forest Service, Rocky Mountain Research Station, Fort Collins, CO, 80526, USA
| | - Mikhail Mastepanov
- Department of Bioscience, Arctic Research Center, Aarhus University, Roskilde, 4000, Denmark.,Oulanka research station, University of Oulu, Kuusamo, 93900, Finland
| | - Roser Matamala
- Environmental Science Division, Argonne National Laboratory, Lemont, IL, 60439, USA
| | | | - Francesco Mazzenga
- Research Institute on Terrestrial Ecosystems, National Research Council of Italy, Monterotondo Scalo, 00015, Italy
| | - Harry McCaughey
- Department of Geography and Planning, Queen's University, Kingston, ON, K7L3N6, Canada
| | - Ian McHugh
- School of Ecosystem and Forest Sciences, The University of Melbourne, Richmond, VIC3121, Australia
| | - Andrew M S McMillan
- Environmental Analytics NZ, Ltd. Raumati South, Paraparaumu, 5032, New Zealand
| | - Lutz Merbold
- Mazingira Centre, International Livestock Research Institute (ILRI), Nairobi, 00100, Kenya
| | - Wayne Meyer
- Biological Sciences, University of Adelaide, Adelaide, SA5064, Australia
| | - Tilden Meyers
- NOAA/OAR/Air Resources Laboratory, 325 Broadway, Boulder, CO, 80303, USA
| | - Scott D Miller
- Atmospheric Sciences Research Center, State University of New York at Albany, Albany, NY, 12203, USA
| | | | - Uta Moderow
- Institute of Hydrology and Meteorology, Technische Universität Dresden, Tharandt, 01737, Germany
| | - Russell K Monson
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, 85721, USA
| | - Leonardo Montagnani
- Forest Department of South Tyrol, Bolzano, 39100, Italy.,Faculty of Science and Technology, Free University of Bolzano, Bolzano, 39100, Italy
| | - Caitlin E Moore
- Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Eddy Moors
- IHE Delft, Delft, 2611, The Netherlands.,Faculty of Science, VU Amsterdam, Amsterdam, 1081, The Netherlands
| | - Virginie Moreaux
- ISPA, Bordeaux Sciences Agro, INRAE, Villenave d'Ornon, 33140, France.,University Grenoble Alpes, IRD, CNRS, IGE, Grenoble, 38000, France
| | - Christine Moureaux
- TERRA Teaching and Research Center, University of Liege, Gembloux, B-5030, Belgium
| | - J William Munger
- School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA.,Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, 02138, USA
| | - Taro Nakai
- School of Forestry and Resource Conservation, National Taiwan University, Taipei, 0617, Taiwan.,International Arctic Research Center, University of Alaska Fairbanks, Fairbanks, AK, 99775, USA
| | - Johan Neirynck
- Environment and Climate, Research Institute for Nature and Forest, Geraardsbergen, 9500, Belgium
| | - Zoran Nesic
- Faculty of Land and Food Systems, University of British Columbia, Vancouver, BC, V6T1Z4, Canada
| | - Giacomo Nicolini
- DIBAF, University of Tuscia, Viterbo, 01100, Italy.,Euro-Mediterranean Centre on Climate Change Foundation (CMCC), Lecce, 73100, Italy
| | - Asko Noormets
- Department of Ecosystem Science and Management, Texas A&M University, College Station, TX, 77843, USA
| | - Matthew Northwood
- Research Institute for the Environment and Livelihoods, Charles Darwin University, Casuarina, 0810, Australia
| | - Marcelo Nosetto
- Grupo de Estudios Ambientales, Instituto de Matemática Aplicada San Luis (UNSL & CONICET), San Luis, D5700HHW, Argentina.,Facultad de Ciencias Agropecuarias (UNER), Oro Verde, 3100, Argentina
| | - Yann Nouvellon
- UMR Eco&Sols, CIRAD, Montpellier, 34060, France.,Eco&Sols, Univ Montpellier-CIRAD-INRA-IRD-Montpellier SupAgro, Montpellier, 34060, France
| | - Kimberly Novick
- O'Neill School of Public and Environmental Affairs, Indiana University Bloomington, Bloomington, IN, 47405, USA
| | - Walter Oechel
- Global Change Research Group, Dept. Biology, San Diego State University, San Diego, CA, 92182, USA.,Department of Geography, College of Life and Environmental Sciences, University of Exeter, Exeter, EX44RJ, United Kingdom
| | - Jørgen Eivind Olesen
- Department of Agroecology, Aarhus University, Tjele, 8830, Denmark.,iCLIMATE, Aarhus University, Tjele, 8830, Denmark
| | | | - Shirley A Papuga
- Department of Geology, Wayne State University, Detroit, MI, 48202, USA
| | - Frans-Jan Parmentier
- Department of Physical Geography and Ecosystem Science, Lund University, Lund, 22362, Sweden.,Department of Geosciences, University of Oslo, Oslo, 0315, Norway
| | | | - Marian Pavelka
- Department of Matter and Energy Fluxes, Global Change Research Institute of the Czech Academy of Sciences, Brno, 60300, Czech Republic
| | - Matthias Peichl
- Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, 90183, Sweden
| | - Elise Pendall
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, 2751, Australia
| | - Richard P Phillips
- Department of Biology, Indiana University Bloomington, Bloomington, IN, 47401, USA
| | - Kim Pilegaard
- Department of Environmental Engineering, Technical University of Denmark (DTU), Kongens Lyngby, 2800, Denmark
| | - Norbert Pirk
- Department of Physical Geography and Ecosystem Science, Lund University, Lund, 22362, Sweden.,CSIRO Land and Water, Wembley, 6913, Australia
| | - Gabriela Posse
- Instituto de Clima y Agua, Instituto Nacional de Tecnologia Agropecuaria (INTA), Buenos Aires, 1686, Argentina
| | - Thomas Powell
- Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Heiko Prasse
- Institute of Hydrology and Meteorology, Technische Universität Dresden, Tharandt, 01737, Germany
| | | | - Serge Rambal
- CEFE, CNRS, Univ Montpellier, Montpellier, 34293, France
| | - Üllar Rannik
- Institute for Atmosphere and Earth System Research/Physics, University of Helsinki, Helsinki, 00560, Finland
| | - Naama Raz-Yaseef
- Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Corinna Rebmann
- Department Computational Hydrosystems, Helmholtz Centre for Environmental Research UFZ, Leipzig, 04318, Germany
| | - David Reed
- Center for Global Change & Earth Observations, Michigan State University, East Lansing, MI, 48823, USA
| | - Victor Resco de Dios
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, 2751, Australia.,School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, 621010, China
| | - Natalia Restrepo-Coupe
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, 85721, USA
| | - Borja R Reverter
- Departamento de Química e Física, Universidade Federal da Paraiba, Areia, PB, 58397-000, Brazil
| | - Marilyn Roland
- Department of Biology, Research Group PLECO, University of Antwerp, Antwerp, 2610, Belgium
| | | | - Torsten Sachs
- Remote Sensing and Geoinformatics, GFZ German Research Centre for Geosciences, Potsdam, 14473, Germany
| | - Scott R Saleska
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, 85721, USA
| | - Enrique P Sánchez-Cañete
- Department of Applied Physics, University of Granada, Granada, 18071, Spain.,Andalusian Institute for Earth System Research (CEAMA-IISTA), Granada, 18006, Spain
| | - Zulia M Sanchez-Mejia
- Ciencias del Agua y Medioambiente, Instituto Tecnológico de Sonora, Ciudad Obregón, 85000, Mexico
| | - Hans Peter Schmid
- Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Garmisch-Partenkirchen, 82467, Germany
| | - Marius Schmidt
- Agrosphere (IBG3), Forschungszentrum Jülich, Jülich, 52428, Germany
| | - Karl Schneider
- Geographical Institute, University of Cologne, Cologne, 50923, Germany
| | - Frederik Schrader
- Thünen Institute of Climate-Smart Agriculture, Federal Research Institute of Rural Areas, Forestry and Fisheries, Braunschweig, 38116, Germany
| | - Ivan Schroder
- Department of Industry, Innovation and Science, Geoscience Australia, Canberra, 2609, Australia
| | - Russell L Scott
- Southwest Watershed Research Center, USDA-ARS, Tucson, AZ, 85719, USA
| | - Pavel Sedlák
- Department of Matter and Energy Fluxes, Global Change Research Institute of the Czech Academy of Sciences, Brno, 60300, Czech Republic.,Institute of Atmospheric Physics of the Czech Academy of Sciences, Prague, 14100, Czech Republic
| | - Penélope Serrano-Ortíz
- Andalusian Institute for Earth System Research (CEAMA-IISTA), Granada, 18006, Spain.,Department of Ecology, University of Granada, Granada, 18071, Spain
| | - Changliang Shao
- National Hulunber Grassland Ecosystem Observation and Research Station & Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Peili Shi
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Ivan Shironya
- A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, 119071, Russia
| | - Lukas Siebicke
- Bioclimatology, University of Goettingen, Goettingen, 37077, Germany
| | - Ladislav Šigut
- Department of Matter and Energy Fluxes, Global Change Research Institute of the Czech Academy of Sciences, Brno, 60300, Czech Republic
| | - Richard Silberstein
- School of Agriculture and Environment, University of Western Australia, Crawley, 6009, Australia.,School of Science, Edith Cowan University, Joondalup, 6027, Australia
| | - Costantino Sirca
- Euro-Mediterranean Centre on Climate Change Foundation (CMCC), Lecce, 73100, Italy.,Department of Agriculture, University of Sassari, Sassari, 07100, Italy
| | - Donatella Spano
- Euro-Mediterranean Centre on Climate Change Foundation (CMCC), Lecce, 73100, Italy.,Department of Agriculture, University of Sassari, Sassari, 07100, Italy
| | - Rainer Steinbrecher
- Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Garmisch-Partenkirchen, 82467, Germany
| | | | - Cove Sturtevant
- National Ecological Observatory Network Program, Boulder, CO, 80301, USA
| | - Andy Suyker
- School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, 68583, USA
| | - Torbern Tagesson
- Department of Physical Geography and Ecosystem Science, Lund University, Lund, 22362, Sweden.,Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, 1350, Denmark
| | - Satoru Takanashi
- Kansai Research Center, Forestry and Forest Products Research Institute, Kyoto, 612-0855, Japan
| | - Yanhong Tang
- College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Nigel Tapper
- School of Earth, Atmosphere and Environment, Monash University, Clayton, 3800, Australia
| | - Jonathan Thom
- Space Science and Engineering Center, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Michele Tomassucci
- DIBAF, University of Tuscia, Viterbo, 01100, Italy.,Terrasystem srl, Viterbo, 01100, Italy
| | | | - Shawn Urbanski
- USDA Forest Service, Rocky Mountain Research Station, Missoula, MT, 59808, USA
| | - Riccardo Valentini
- DIBAF, University of Tuscia, Viterbo, 01100, Italy.,Euro-Mediterranean Centre on Climate Change Foundation (CMCC), Lecce, 73100, Italy
| | - Michiel van der Molen
- Meteorology and Air Quality group, Wageningen University, 6500, Wageningen, The Netherlands
| | - Eva van Gorsel
- Fenner School of Environment and Society, Australian National University Canberra, Canberra, ACT, 2600, Australia
| | - Ko van Huissteden
- Department of Earth Sciences, Vrije Universiteit Amsterdam, Amsterdam, 1081 HV, The Netherlands
| | - Andrej Varlagin
- A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, 119071, Russia
| | | | - Timo Vesala
- Institute for Atmosphere and Earth System Research/Physics, University of Helsinki, Helsinki, 00560, Finland
| | - Caroline Vincke
- Earth and Life Institute, Université Catholique de Louvain, Louvain-la-Neuve, 1348, Belgium
| | - Domenico Vitale
- DIBAF, University of Tuscia, Viterbo, 01100, Italy.,Euro-Mediterranean Centre on Climate Change Foundation (CMCC), Lecce, 73100, Italy
| | - Natalia Vygodskaya
- A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, 119071, Russia
| | - Jeffrey P Walker
- Department of Civil Engineering, Monash University, Clayton, 3800, Australia
| | - Elizabeth Walter-Shea
- School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, 68583, USA
| | - Huimin Wang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Robin Weber
- ESPM, University of California Berkeley, Berkeley, CA, 94720, USA
| | - Sebastian Westermann
- Instituto de Clima y Agua, Instituto Nacional de Tecnologia Agropecuaria (INTA), Buenos Aires, 1686, Argentina
| | - Christian Wille
- Remote Sensing and Geoinformatics, GFZ German Research Centre for Geosciences, Potsdam, 14473, Germany
| | - Steven Wofsy
- School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA.,Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, 02138, USA
| | - Georg Wohlfahrt
- Department of Ecology, University of Innsbruck, Innsbruck, 6020, Austria
| | - Sebastian Wolf
- Department of Environmental Systems Science, ETH Zurich, Zurich, 8092, Switzerland
| | - William Woodgate
- CSIRO Land and Water, Canberra, 2601, Australia.,School of Earth and Environmental Sciences, The University of Queensland, St Lucia, 4072, Australia
| | - Yuelin Li
- South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China
| | - Roberto Zampedri
- Department of Sustainable Agro-ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele All'adige, 38010, Italy
| | - Junhui Zhang
- Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China
| | - Guoyi Zhou
- College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Donatella Zona
- Global Change Research Group, Dept. Biology, San Diego State University, San Diego, CA, 92182, USA.,Department of Animal and Plant Sciences, University of Sheffield, Sheffield, S102TN, United Kingdom
| | - Deb Agarwal
- Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Sebastien Biraud
- Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Margaret Torn
- Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Dario Papale
- DIBAF, University of Tuscia, Viterbo, 01100, Italy. .,Euro-Mediterranean Centre on Climate Change Foundation (CMCC), Lecce, 73100, Italy.
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20
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Huang K, Zhang Y, Tagesson T, Brandt M, Wang L, Chen N, Zu J, Jin H, Cai Z, Tong X, Cong N, Fensholt R. The confounding effect of snow cover on assessing spring phenology from space: A new look at trends on the Tibetan Plateau. Sci Total Environ 2021; 756:144011. [PMID: 33316646 DOI: 10.1016/j.scitotenv.2020.144011] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 10/20/2020] [Accepted: 11/15/2020] [Indexed: 06/12/2023]
Abstract
The Tibetan Plateau is the highest and largest plateau in the world, hosting unique alpine grassland and having a much higher snow cover than any other region at the same latitude, thus representing a "climate change hot-spot". Land surface phenology characterizes the timing of vegetation seasonality at the per-pixel level using remote sensing systems. The impact of seasonal snow cover variations on land surface phenology has drawn much attention; however, there is still no consensus on how the remote sensing estimated start of season (SOS) is biased by the presence of preseason snow cover. Here, we analyzed SOS assessments from time series of satellite derived vegetation indices and solar-induced chlorophyll fluorescence (SIF) during 2003-2016 for the Tibetan Plateau. We evaluated satellite-based SOS with field observations and gross primary production (GPP) from eddy covariance for both snow-free and snow covered sites. SOS derived from SIF was highly correlated with field data (R2 = 0.83) and also the normalized difference phenology index (NDPI) performed well for both snow free (R2 = 0.77) and snow covered sites (R2 = 0.73). On the contrary, normalized difference vegetation index (NDVI) correlates only weakly with field data (R2 = 0.35 for snow free and R2 = 0.15 for snow covered sites). We further found that an earlier end of the snow season caused an earlier estimate of SOS for the Tibetan Plateau from NDVI as compared to NDPI. Our research therefore adds new evidence to the ongoing debate supporting the view that the claimed advance in land surface SOS over the Tibetan Plateau is an artifact from snow cover changes. These findings improve our understanding of the impact of snow on land surface phenology in alpine ecosystems, which can further improve remote sensing based land surface phenology assessments in snow-influenced ecosystems.
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Affiliation(s)
- Ke Huang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen 1350, Denmark
| | - Yangjian Zhang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing 100101, China.
| | - Torbern Tagesson
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen 1350, Denmark; Department of Physical Geography and Ecosystems Analysis, Lund University, Lund 22100, Sweden.
| | - Martin Brandt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen 1350, Denmark.
| | - Lanhui Wang
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen 1350, Denmark.
| | - Ning Chen
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China.
| | - Jiaxing Zu
- Nanning Normal University, Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Ministry of Education, Nanning 530001, China; Guangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation, Nanning 530001, China
| | - Hongxiao Jin
- Department of Physical Geography and Ecosystems Analysis, Lund University, Lund 22100, Sweden; Department of Environmental Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.
| | - Zhanzhang Cai
- Department of Physical Geography and Ecosystems Analysis, Lund University, Lund 22100, Sweden.
| | - Xiaowei Tong
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen 1350, Denmark.
| | - Nan Cong
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen 1350, Denmark.
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21
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Tagesson T, Tian F, Schurgers G, Horion S, Scholes R, Ahlström A, Ardö J, Moreno A, Madani N, Olin S, Fensholt R. A physiology-based Earth observation model indicates stagnation in the global gross primary production during recent decades. Glob Chang Biol 2021; 27:836-854. [PMID: 33124068 PMCID: PMC7898396 DOI: 10.1111/gcb.15424] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 10/12/2020] [Indexed: 06/11/2023]
Abstract
Earth observation-based estimates of global gross primary production (GPP) are essential for understanding the response of the terrestrial biosphere to climatic change and other anthropogenic forcing. In this study, we attempt an ecosystem-level physiological approach of estimating GPP using an asymptotic light response function (LRF) between GPP and incoming photosynthetically active radiation (PAR) that better represents the response observed at high spatiotemporal resolutions than the conventional light use efficiency approach. Modelled GPP is thereafter constrained with meteorological and hydrological variables. The variability in field-observed GPP, net primary productivity and solar-induced fluorescence was better or equally well captured by our LRF-based GPP when compared with six state-of-the-art Earth observation-based GPP products. Over the period 1982-2015, the LRF-based average annual global terrestrial GPP budget was 121.8 ± 3.5 Pg C, with a detrended inter-annual variability of 0.74 ± 0.13 Pg C. The strongest inter-annual variability was observed in semi-arid regions, but croplands in China and India also showed strong inter-annual variations. The trend in global terrestrial GPP during 1982-2015 was 0.27 ± 0.02 Pg C year-1 , and was generally larger in the northern than the southern hemisphere. Most positive GPP trends were seen in areas with croplands whereas negative trends were observed for large non-cropped parts of the tropics. Trends were strong during the eighties and nineties but levelled off around year 2000. Other GPP products either showed no trends or continuous increase throughout the study period. This study benchmarks a first global Earth observation-based model using an asymptotic light response function, improving simulations of GPP, and reveals a stagnation in the global GPP after the year 2000.
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Affiliation(s)
- Torbern Tagesson
- Department of Physical Geography and Ecosystem ScienceLund UniversityLundSweden
- Department of Geosciences and Natural Resource ManagementUniversity of CopenhagenCopenhagenDenmark
| | - Feng Tian
- Department of Physical Geography and Ecosystem ScienceLund UniversityLundSweden
- School of Remote Sensing and Information EngineeringWuhan UniversityWuhanChina
| | - Guy Schurgers
- Department of Geosciences and Natural Resource ManagementUniversity of CopenhagenCopenhagenDenmark
| | - Stephanie Horion
- Department of Geosciences and Natural Resource ManagementUniversity of CopenhagenCopenhagenDenmark
| | - Robert Scholes
- Global Change InstituteUniversity of the WitwatersrandJohannesburgSouth Africa
| | - Anders Ahlström
- Department of Physical Geography and Ecosystem ScienceLund UniversityLundSweden
- Center for Middle Eastern StudiesLund UniversityLundSweden
| | - Jonas Ardö
- Department of Physical Geography and Ecosystem ScienceLund UniversityLundSweden
| | - Alvaro Moreno
- Image Processing Laboratory (IPL)Universitat de ValènciaPaterna, ValènciaSpain
- Numerical Terradynamic Simulation Group, W.A. Franke College of Forestry & ConservationUniversity of MontanaMissoulaMTUSA
| | | | - Stefan Olin
- Department of Physical Geography and Ecosystem ScienceLund UniversityLundSweden
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource ManagementUniversity of CopenhagenCopenhagenDenmark
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22
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Brandt M, Tucker CJ, Kariryaa A, Rasmussen K, Abel C, Small J, Chave J, Rasmussen LV, Hiernaux P, Diouf AA, Kergoat L, Mertz O, Igel C, Gieseke F, Schöning J, Li S, Melocik K, Meyer J, Sinno S, Romero E, Glennie E, Montagu A, Dendoncker M, Fensholt R. An unexpectedly large count of trees in the West African Sahara and Sahel. Nature 2020; 587:78-82. [PMID: 33057199 DOI: 10.1038/s41586-020-2824-5] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Accepted: 09/09/2020] [Indexed: 11/09/2022]
Abstract
A large proportion of dryland trees and shrubs (hereafter referred to collectively as trees) grow in isolation, without canopy closure. These non-forest trees have a crucial role in biodiversity, and provide ecosystem services such as carbon storage, food resources and shelter for humans and animals1,2. However, most public interest relating to trees is devoted to forests, and trees outside of forests are not well-documented3. Here we map the crown size of each tree more than 3 m2 in size over a land area that spans 1.3 million km2 in the West African Sahara, Sahel and sub-humid zone, using submetre-resolution satellite imagery and deep learning4. We detected over 1.8 billion individual trees (13.4 trees per hectare), with a median crown size of 12 m2, along a rainfall gradient from 0 to 1,000 mm per year. The canopy cover increases from 0.1% (0.7 trees per hectare) in hyper-arid areas, through 1.6% (9.9 trees per hectare) in arid and 5.6% (30.1 trees per hectare) in semi-arid zones, to 13.3% (47 trees per hectare) in sub-humid areas. Although the overall canopy cover is low, the relatively high density of isolated trees challenges prevailing narratives about dryland desertification5-7, and even the desert shows a surprisingly high tree density. Our assessment suggests a way to monitor trees outside of forests globally, and to explore their role in mitigating degradation, climate change and poverty.
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Affiliation(s)
- Martin Brandt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark. .,Science Systems and Applications Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA.
| | | | - Ankit Kariryaa
- Science Systems and Applications Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA.,HCI Group, University of Bremen, Bremen, Germany
| | - Kjeld Rasmussen
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Christin Abel
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Jennifer Small
- Science Systems and Applications Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA.,NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Jerome Chave
- Laboratoire Evolution and Diversité Biologique, CNRS, UPS, IRD, Université Paul Sabatier, Toulouse, France
| | - Laura Vang Rasmussen
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Pierre Hiernaux
- Science Systems and Applications Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA.,Pastoralisme Conseil, Caylus, France
| | | | - Laurent Kergoat
- Geosciences Environnement Toulouse (GET), Observatoire Midi-Pyrénées, UMR 5563 (CNRS/UPS/IRD/CNES), Toulouse, France
| | - Ole Mertz
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Christian Igel
- Department of Computer Science (DIKU), University of Copenhagen, Copenhagen, Denmark
| | - Fabian Gieseke
- Department of Computer Science (DIKU), University of Copenhagen, Copenhagen, Denmark.,Department of Information Systems, University of Műnster, Műnster, Germany
| | | | - Sizhuo Li
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Katherine Melocik
- Science Systems and Applications Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA.,NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Jesse Meyer
- Science Systems and Applications Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA.,NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Scott Sinno
- Science Systems and Applications Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA.,NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Eric Romero
- Science Systems and Applications Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA.,NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Erin Glennie
- Science Systems and Applications Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA.,NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Amandine Montagu
- Département de Géosciences, Ecole Normale Supérieure, Paris, France
| | - Morgane Dendoncker
- Earth and Life Institute, Environmental Sciences, Université Catholique de Louvain, Louvain-la-Neuve, Belgium
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
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23
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Wei F, Wang S, Fu B, Brandt M, Pan N, Wang C, Fensholt R. Nonlinear dynamics of fires in Africa over recent decades controlled by precipitation. Glob Chang Biol 2020; 26:4495-4505. [PMID: 32445413 DOI: 10.1111/gcb.15190] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 04/28/2020] [Indexed: 06/11/2023]
Abstract
Dynamics of fires in Africa are of critical importance for understanding changes in ecosystem properties and effects on the global carbon cycle. Given increasing fire risk from projected warming on the one hand and a documented human-driven decline in fires on the other, it is still unknown how the complex interplay between climate and human factors affects recent changes of fires in Africa. Moreover, the impact of recent strong El Niño events on fire dynamics is not yet known. By applying an ensemble empirical mode decomposition method to satellite-derived fire burned area, we investigated the spatio-temporal evolution of fires in Africa over 2001-2016 and identified the potential dominant drivers. Our results show an overall decline of fire rates, which is continuous over the time period and mainly caused by cropland expansion in northern sub-Saharan Africa. However, we also find that years of high precipitation have caused an initial increase in fire rates in southern Africa, which reversed to a decline in later years. This decline is caused by a high frequency of dry years leading to very low fuel loads, suggesting that recent drought causes a general reduction of burned areas, in particular in xeric savannas. In some mesic regions (10°-15°S), solar radiation and increased temperature caused increase in fires. These findings show that climate change overrules the impact of human expansion on fire rates at the continental scale in Africa, reducing the fire risk.
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Affiliation(s)
- Fangli Wei
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Shuai Wang
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, China
| | - Bojie Fu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Martin Brandt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Naiqing Pan
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, USA
| | - Cong Wang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
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24
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Pastorello G, Trotta C, Canfora E, Chu H, Christianson D, Cheah YW, Poindexter C, Chen J, Elbashandy A, Humphrey M, Isaac P, Polidori D, Reichstein M, Ribeca A, van Ingen C, Vuichard N, Zhang L, Amiro B, Ammann C, Arain MA, Ardö J, Arkebauer T, Arndt SK, Arriga N, Aubinet M, Aurela M, Baldocchi D, Barr A, Beamesderfer E, Marchesini LB, Bergeron O, Beringer J, Bernhofer C, Berveiller D, Billesbach D, Black TA, Blanken PD, Bohrer G, Boike J, Bolstad PV, Bonal D, Bonnefond JM, Bowling DR, Bracho R, Brodeur J, Brümmer C, Buchmann N, Burban B, Burns SP, Buysse P, Cale P, Cavagna M, Cellier P, Chen S, Chini I, Christensen TR, Cleverly J, Collalti A, Consalvo C, Cook BD, Cook D, Coursolle C, Cremonese E, Curtis PS, D'Andrea E, da Rocha H, Dai X, Davis KJ, Cinti BD, Grandcourt AD, Ligne AD, De Oliveira RC, Delpierre N, Desai AR, Di Bella CM, Tommasi PD, Dolman H, Domingo F, Dong G, Dore S, Duce P, Dufrêne E, Dunn A, Dušek J, Eamus D, Eichelmann U, ElKhidir HAM, Eugster W, Ewenz CM, Ewers B, Famulari D, Fares S, Feigenwinter I, Feitz A, Fensholt R, Filippa G, Fischer M, Frank J, Galvagno M, Gharun M, Gianelle D, Gielen B, Gioli B, Gitelson A, Goded I, Goeckede M, Goldstein AH, Gough CM, Goulden ML, Graf A, Griebel A, Gruening C, Grünwald T, Hammerle A, Han S, Han X, Hansen BU, Hanson C, Hatakka J, He Y, Hehn M, Heinesch B, Hinko-Najera N, Hörtnagl L, Hutley L, Ibrom A, Ikawa H, Jackowicz-Korczynski M, Janouš D, Jans W, Jassal R, Jiang S, Kato T, Khomik M, Klatt J, Knohl A, Knox S, Kobayashi H, Koerber G, Kolle O, Kosugi Y, Kotani A, Kowalski A, Kruijt B, Kurbatova J, Kutsch WL, Kwon H, Launiainen S, Laurila T, Law B, Leuning R, Li Y, Liddell M, Limousin JM, Lion M, Liska AJ, Lohila A, López-Ballesteros A, López-Blanco E, Loubet B, Loustau D, Lucas-Moffat A, Lüers J, Ma S, Macfarlane C, Magliulo V, Maier R, Mammarella I, Manca G, Marcolla B, Margolis HA, Marras S, Massman W, Mastepanov M, Matamala R, Matthes JH, Mazzenga F, McCaughey H, McHugh I, McMillan AMS, Merbold L, Meyer W, Meyers T, Miller SD, Minerbi S, Moderow U, Monson RK, Montagnani L, Moore CE, Moors E, Moreaux V, Moureaux C, Munger JW, Nakai T, Neirynck J, Nesic Z, Nicolini G, Noormets A, Northwood M, Nosetto M, Nouvellon Y, Novick K, Oechel W, Olesen JE, Ourcival JM, Papuga SA, Parmentier FJ, Paul-Limoges E, Pavelka M, Peichl M, Pendall E, Phillips RP, Pilegaard K, Pirk N, Posse G, Powell T, Prasse H, Prober SM, Rambal S, Rannik Ü, Raz-Yaseef N, Rebmann C, Reed D, Dios VRD, Restrepo-Coupe N, Reverter BR, Roland M, Sabbatini S, Sachs T, Saleska SR, Sánchez-Cañete EP, Sanchez-Mejia ZM, Schmid HP, Schmidt M, Schneider K, Schrader F, Schroder I, Scott RL, Sedlák P, Serrano-Ortíz P, Shao C, Shi P, Shironya I, Siebicke L, Šigut L, Silberstein R, Sirca C, Spano D, Steinbrecher R, Stevens RM, Sturtevant C, Suyker A, Tagesson T, Takanashi S, Tang Y, Tapper N, Thom J, Tomassucci M, Tuovinen JP, Urbanski S, Valentini R, van der Molen M, van Gorsel E, van Huissteden K, Varlagin A, Verfaillie J, Vesala T, Vincke C, Vitale D, Vygodskaya N, Walker JP, Walter-Shea E, Wang H, Weber R, Westermann S, Wille C, Wofsy S, Wohlfahrt G, Wolf S, Woodgate W, Li Y, Zampedri R, Zhang J, Zhou G, Zona D, Agarwal D, Biraud S, Torn M, Papale D. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Sci Data 2020; 7:225. [PMID: 32647314 PMCID: PMC7347557 DOI: 10.1038/s41597-020-0534-3] [Citation(s) in RCA: 173] [Impact Index Per Article: 43.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Accepted: 05/20/2020] [Indexed: 12/02/2022] Open
Abstract
The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible. Measurement(s) | net ecosystem exchange • carbon dioxide • water • energy | Technology Type(s) | eddy covariance • measurement device | Sample Characteristic - Environment | terrestrial biome • atmosphere | Sample Characteristic - Location | Earth (planet) |
Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.12295910
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Affiliation(s)
- Gilberto Pastorello
- Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
| | - Carlo Trotta
- DIBAF, University of Tuscia, Viterbo, 01100, Italy
| | - Eleonora Canfora
- DIBAF, University of Tuscia, Viterbo, 01100, Italy.,Euro-Mediterranean Centre on Climate Change Foundation (CMCC), Lecce, 73100, Italy
| | - Housen Chu
- Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Danielle Christianson
- Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - You-Wei Cheah
- Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Cristina Poindexter
- Department of Civil Engineering, California State University, Sacramento, CA, 95819, USA
| | - Jiquan Chen
- Department of Geography, Environment, and Spatial Sciences, Michigan State University, East Lansing, MI, 48823, USA
| | - Abdelrahman Elbashandy
- Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Marty Humphrey
- Department of Computer Science, University of Virginia, Charlottesville, VA, 22904, USA
| | - Peter Isaac
- TERN Ecosystem Processes, Menzies Creek, VIC3159, Australia
| | - Diego Polidori
- DIBAF, University of Tuscia, Viterbo, 01100, Italy.,Euro-Mediterranean Centre on Climate Change Foundation (CMCC), Lecce, 73100, Italy
| | | | - Alessio Ribeca
- DIBAF, University of Tuscia, Viterbo, 01100, Italy.,Euro-Mediterranean Centre on Climate Change Foundation (CMCC), Lecce, 73100, Italy
| | - Catharine van Ingen
- Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Nicolas Vuichard
- Laboratoire des Sciences du Climat et de l'Environnement (LSCE), CEA CNRS, UVSQ UPSACLAY, Gif sur Yvette, 91190, France
| | - Leiming Zhang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Brian Amiro
- Department of Soil Science, University of Manitoba, Winnipeg, MB, R3T2N2, Canada
| | - Christof Ammann
- Department of Agroecology and Environment, Agroscope Research Institute, Zürich, 8046, Switzerland
| | - M Altaf Arain
- School of Geography and Earth Sciences, McMaster University, L8S4K1, Hamilton, ON, Canada
| | - Jonas Ardö
- Department of Physical Geography and Ecosystem Science, Lund University, Lund, 22362, Sweden
| | - Timothy Arkebauer
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, 68583, USA
| | - Stefan K Arndt
- School of Ecosystem and Forest Sciences, The University of Melbourne, Richmond, VIC3121, Australia
| | - Nicola Arriga
- Department of Biology, Research Group PLECO, University of Antwerp, Antwerp, 2610, Belgium.,Joint Research Centre, European Commission, Ispra, 21027, Italy
| | - Marc Aubinet
- TERRA Teaching and Research Center, University of Liege, Gembloux, B-5030, Belgium
| | - Mika Aurela
- Finnish Meteorological Institute, Helsinki, 00560, Finland
| | - Dennis Baldocchi
- ESPM, University of California Berkeley, Berkeley, CA, 94720, USA
| | - Alan Barr
- Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK, S7N3H5, Canada.,Climate Research Division, Environment and Climate Change Canada, Saskatoon, SK, S7N3H5, Canada
| | - Eric Beamesderfer
- School of Geography and Earth Sciences, McMaster University, L8S4K1, Hamilton, ON, Canada
| | - Luca Belelli Marchesini
- Department of Sustainable Agro-ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele All'adige, 38010, Italy.,Department of Landscape Design and Sustainable Ecosystems, Agrarian-Technological Institute, RUDN University, Moscow, 117198, Russia
| | - Onil Bergeron
- Direction du marché du carbone, Ministère du Développement durable de l'Environnement et de la Lutte contre les changements climatiques, Québec, QC, G1R5V7, Canada
| | - Jason Beringer
- School of Agriculture and Environment, University of Western Australia, Crawley, 6009, Australia
| | - Christian Bernhofer
- Institute of Hydrology and Meteorology, Technische Universität Dresden, Tharandt, 01737, Germany
| | - Daniel Berveiller
- Université Paris-Saclay, CNRS, AgroParisTech, Ecologie Systématique et Evolution, Orsay, 91405, France
| | - Dave Billesbach
- Biological Systems Engineering, University of Nebraska-Lincoln, Lincoln, NE, 68583, USA
| | - Thomas Andrew Black
- Faculty of Land and Food Systems, University of British Columbia, Vancouver, BC, V6T1Z4, Canada
| | - Peter D Blanken
- Department of Geography, University of Colorado, Boulder, CO, 80309, USA
| | - Gil Bohrer
- Department of Civil, Environmental & Geodetic Engineering, Ohio State University, Columbus, OH, 43210, USA
| | - Julia Boike
- Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam, 14482, Germany.,Geography Department, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Paul V Bolstad
- Forest Resources, University of Minnesota, St Paul, MN, 55108, USA
| | - Damien Bonal
- Université de Lorraine, AgroParisTech, INRAE, UMR Silva, Nancy, 54000, France
| | | | - David R Bowling
- School of Biological Sciences, University of Utah, Salt Lake City, UT, 84112, USA
| | - Rosvel Bracho
- School of Forest Resources and Conservation, University of Florida, Gainesville, FL, 32611, USA
| | - Jason Brodeur
- McMaster University Library, McMaster University, Hamilton, ON, L8S4L6, Canada
| | - Christian Brümmer
- Thünen Institute of Climate-Smart Agriculture, Federal Research Institute of Rural Areas, Forestry and Fisheries, Braunschweig, 38116, Germany
| | - Nina Buchmann
- Department of Environmental Systems Science, ETH Zurich, Zurich, 8092, Switzerland
| | | | - Sean P Burns
- Department of Geography, University of Colorado, Boulder, CO, 80309, USA.,Mesoscale and Microscale Meteorology Laboratory, National Center for Atmospheric Research, Boulder, CO, 80301, USA
| | - Pauline Buysse
- Université Paris-Saclay, INRAE, AgroParisTech, UMR ECOSYS, Thiverval-Grignon, 78850, France
| | - Peter Cale
- Australian Landscape Trust, Renmark, SA5341, Australia
| | - Mauro Cavagna
- Department of Sustainable Agro-ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele All'adige, 38010, Italy
| | - Pierre Cellier
- Université Paris-Saclay, INRAE, AgroParisTech, UMR ECOSYS, Thiverval-Grignon, 78850, France
| | - Shiping Chen
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Isaac Chini
- Department of Sustainable Agro-ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele All'adige, 38010, Italy
| | - Torben R Christensen
- Department of Bioscience, Arctic Research Center, Aarhus University, Roskilde, 4000, Denmark
| | - James Cleverly
- School of Life Sciences, University of Technology Sydney, Sydney, 2007, Australia.,Terrestrial Ecosystem Research Network TERN, University of Technology, Sydney, 2007, Australia
| | - Alessio Collalti
- DIBAF, University of Tuscia, Viterbo, 01100, Italy.,Institute for Agricultural and Forestry Systems in the Mediterranean, National Research Council of Italy, Ercolano, 80056, Italy
| | - Claudia Consalvo
- DIBAF, University of Tuscia, Viterbo, 01100, Italy.,Research Institute on Terrestrial Ecosystems, National Research Council of Italy, Porano, 05010, Italy
| | - Bruce D Cook
- Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA
| | - David Cook
- Environmental Science Division, Argonne National Laboratory, Lemont, IL, 60439, USA
| | - Carole Coursolle
- Canadian Forest Service, Natural Resources Canada, Québec, QC, G1V4C7, Canada.,Centre d'étude de la forêt, Faculté de foresterie, de géographie et de géomatique, Université Laval, Québec, QC, G1V0A6, Canada
| | - Edoardo Cremonese
- Climate Change Unit, Environmental Protection Agency of Aosta Valley, Saint Christophe, 11020, Italy
| | - Peter S Curtis
- Department of Evolution, Ecology, and Organismal Biology, Ohio State University, Columbus, OH, 43210, USA
| | - Ettore D'Andrea
- Institute for Agricultural and Forestry Systems in the Mediterranean, National Research Council of Italy, Ercolano, 80056, Italy
| | - Humberto da Rocha
- Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidade de São Paulo, São Paulo, SP, 01000-000, Brazil
| | - Xiaoqin Dai
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Kenneth J Davis
- Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Bruno De Cinti
- Institute of Research on Terrestrial Ecosystems, National Research Council of Italy, Montelibretti, 00010, Italy
| | | | - Anne De Ligne
- TERRA Teaching and Research Center, University of Liege, Gembloux, B-5030, Belgium
| | | | - Nicolas Delpierre
- Université Paris-Saclay, CNRS, AgroParisTech, Ecologie Systématique et Evolution, Orsay, 91405, France
| | - Ankur R Desai
- Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Carlos Marcelo Di Bella
- Departamento de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, UBA, Buenos Aires, 1417, Argentina
| | - Paul di Tommasi
- Institute for Agricultural and Forestry Systems in the Mediterranean, National Research Council of Italy, Ercolano, 80056, Italy
| | - Han Dolman
- Department of Earth Sciences, Vrije Universiteit Amsterdam, Amsterdam, 1081 HV, The Netherlands
| | - Francisco Domingo
- Desertification and Geoecology Department, Experimental Station of Arid Zones, CSIC, Almería, 04120, Spain
| | - Gang Dong
- School of Life Science, Shanxi University, Taiyuan, 030006, China
| | | | - Pierpaolo Duce
- Institute of BioEconomy, National Research Council of Italy, Sassari, 07100, Italy
| | - Eric Dufrêne
- Université Paris-Saclay, CNRS, AgroParisTech, Ecologie Systématique et Evolution, Orsay, 91405, France
| | - Allison Dunn
- Department of Earth, Environment, and Physics, Worcester State University, Worcester, MA, 01602, USA
| | - Jiří Dušek
- Department of Matter and Energy Fluxes, Global Change Research Institute of the Czech Academy of Sciences, Brno, 60300, Czech Republic
| | - Derek Eamus
- School of Life Sciences, University of Technology Sydney, Sydney, 2007, Australia
| | - Uwe Eichelmann
- Institute of Hydrology and Meteorology, Technische Universität Dresden, Tharandt, 01737, Germany
| | | | - Werner Eugster
- Department of Environmental Systems Science, ETH Zurich, Zurich, 8092, Switzerland
| | - Cacilia M Ewenz
- Airborne Research Australia, TERN Ecosystem Processes Central Node, Parafield, 5106, Australia
| | - Brent Ewers
- Department of Botany, Program in Ecology, University of Wyoming, 1000 E. Univ. Ave, Laramie, WY, 82071, USA
| | - Daniela Famulari
- Institute for Agricultural and Forestry Systems in the Mediterranean, National Research Council of Italy, Ercolano, 80056, Italy
| | - Silvano Fares
- Institute of BioEconomy, National Research Council of Italy, Rome, 00100, Italy.,Research Centre for Forestry and Wood, Council for Agricultural Research and Economics, Rome, 00166, Italy
| | - Iris Feigenwinter
- Department of Environmental Systems Science, ETH Zurich, Zurich, 8092, Switzerland
| | | | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, 1350, Denmark
| | - Gianluca Filippa
- Climate Change Unit, Environmental Protection Agency of Aosta Valley, Saint Christophe, 11020, Italy
| | - Marc Fischer
- Energy Analysis & Environmental Impacts Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - John Frank
- USDA Forest Service, Rocky Mountain Research Station, Fort Collins, CO, 80526, USA
| | - Marta Galvagno
- Climate Change Unit, Environmental Protection Agency of Aosta Valley, Saint Christophe, 11020, Italy
| | - Mana Gharun
- Department of Environmental Systems Science, ETH Zurich, Zurich, 8092, Switzerland
| | - Damiano Gianelle
- Department of Sustainable Agro-ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele All'adige, 38010, Italy
| | - Bert Gielen
- Department of Biology, Research Group PLECO, University of Antwerp, Antwerp, 2610, Belgium
| | - Beniamino Gioli
- Institute of BioEconomy, National Research Council of Italy, Firenze, 50145, Italy
| | - Anatoly Gitelson
- School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, 68583, USA
| | - Ignacio Goded
- Joint Research Centre, European Commission, Ispra, 21027, Italy
| | | | | | - Christopher M Gough
- Department of Biology, Virginia Commonwealth University, Richmond, VA, 23284, USA
| | - Michael L Goulden
- Department of Earth System Science, University of California, Irvine, CA, 92697, USA
| | - Alexander Graf
- Agrosphere (IBG3), Forschungszentrum Jülich, Jülich, 52428, Germany
| | - Anne Griebel
- School of Ecosystem and Forest Sciences, The University of Melbourne, Richmond, VIC3121, Australia
| | | | - Thomas Grünwald
- Institute of Hydrology and Meteorology, Technische Universität Dresden, Tharandt, 01737, Germany
| | - Albin Hammerle
- Department of Ecology, University of Innsbruck, Innsbruck, 6020, Austria
| | - Shijie Han
- International Joint Research Laboratory for Global Change Ecology, School of Life Sciences, Henan University, Kaifeng, 450000, China.,Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China
| | - Xingguo Han
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Birger Ulf Hansen
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, 1350, Denmark
| | - Chad Hanson
- Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR, 97333, USA
| | - Juha Hatakka
- Finnish Meteorological Institute, Helsinki, 00560, Finland
| | - Yongtao He
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.,College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100190, China
| | - Markus Hehn
- Institute of Hydrology and Meteorology, Technische Universität Dresden, Tharandt, 01737, Germany
| | - Bernard Heinesch
- TERRA Teaching and Research Center, University of Liege, Gembloux, B-5030, Belgium
| | - Nina Hinko-Najera
- School of Ecosystem and Forest Sciences, The University of Melbourne, Creswick, VIC3363, Australia
| | - Lukas Hörtnagl
- Department of Environmental Systems Science, ETH Zurich, Zurich, 8092, Switzerland
| | - Lindsay Hutley
- Research Institute for the Environment and Livelihoods, Charles Darwin University, Darwin, 0909, Australia
| | - Andreas Ibrom
- Department of Environmental Engineering, Technical University of Denmark (DTU), Kongens Lyngby, 2800, Denmark
| | - Hiroki Ikawa
- Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization, Tsukuba, 305-8604, Japan
| | - Marcin Jackowicz-Korczynski
- Department of Physical Geography and Ecosystem Science, Lund University, Lund, 22362, Sweden.,Department of Bioscience, Arctic Research Center, Aarhus University, Roskilde, 4000, Denmark
| | - Dalibor Janouš
- Department of Matter and Energy Fluxes, Global Change Research Institute of the Czech Academy of Sciences, Brno, 60300, Czech Republic
| | - Wilma Jans
- Wageningen Environmental Research, Wageningen University and Research, Wageningen, 6708PB, The Netherlands
| | - Rachhpal Jassal
- Faculty of Land and Food Systems, University of British Columbia, Vancouver, BC, V6T1Z4, Canada
| | - Shicheng Jiang
- Key Laboratory of Vegetation Ecology, Ministry of Education, Northeast Normal University, Changchun, 130024, China
| | - Tomomichi Kato
- Research Faculty of Agriculture, Hokkaido University, Sapporo, 060-8589, Japan.,GI-Core, Hokkaido University, Sapporo, 060-0808, Japan
| | - Myroslava Khomik
- School of Geography and Earth Sciences, McMaster University, L8S4K1, Hamilton, ON, Canada.,Geography and Environmental Management, Waterloo, ON, N2L3G1, Canada
| | - Janina Klatt
- Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Garmisch-Partenkirchen, 82467, Germany
| | - Alexander Knohl
- Bioclimatology, University of Goettingen, Goettingen, 37077, Germany.,Centre of Biodiversity and Sustainable Land Use (CBL), University of Goettingen, Goettingen, 37077, Germany
| | - Sara Knox
- Department of Geography, The University of British Columbia, Vancouver, BC, V6T1Z2, Canada
| | - Hideki Kobayashi
- Research Institute for Global Change, Institute of Arctic Climate and Environment Research, Japan Agency for Marine-Earth Science and Technology, Yokoama, 236-0001, Japan
| | - Georgia Koerber
- Biological Sciences, University of Adelaide, Adelaide, SA5064, Australia
| | - Olaf Kolle
- Max Planck Institute for Biogeochemistry, Jena, 03641, Germany
| | - Yoshiko Kosugi
- Graduate School of Agriculture, Kyoto University, Kyoto, 606-8502, Japan
| | - Ayumi Kotani
- Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, 4648601, Japan
| | - Andrew Kowalski
- Department of Applied Physics, University of Granada, Granada, 18071, Spain
| | - Bart Kruijt
- Water systems and Global Change group, Wageningen University, Wageningen, 6500, The Netherlands
| | - Julia Kurbatova
- A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, 119071, Russia
| | - Werner L Kutsch
- Head Office, Integrated Carbon Observation System (ICOS ERIC), Helsinki, 00560, Finland
| | - Hyojung Kwon
- Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR, 97333, USA
| | | | - Tuomas Laurila
- Finnish Meteorological Institute, Helsinki, 00560, Finland
| | - Bev Law
- Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR, 97333, USA
| | | | - Yingnian Li
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, 810008, China
| | - Michael Liddell
- Centre for Tropical Environmental Sustainability Studies, James Cook University, Cairns, 4878, Australia
| | | | - Marryanna Lion
- Forestry and Environment Division, Forest Research Institute Malaysia (FRIM), Kepong, 52109, Malaysia
| | - Adam J Liska
- Biological Systems Engineering, University of Nebraska-Lincoln, Lincoln, NE, 68583, USA
| | - Annalea Lohila
- Finnish Meteorological Institute, Helsinki, 00560, Finland.,Institute for Atmosphere and Earth System Research/Physics, University of Helsinki, Helsinki, 00560, Finland
| | - Ana López-Ballesteros
- Department of Botany, School of Natural Sciences, Trinity College Dublin, Dublin, D02PN40, Ireland
| | - Efrén López-Blanco
- Department of Bioscience, Arctic Research Center, Aarhus University, Roskilde, 4000, Denmark
| | - Benjamin Loubet
- Université Paris-Saclay, INRAE, AgroParisTech, UMR ECOSYS, Thiverval-Grignon, 78850, France
| | - Denis Loustau
- ISPA, Bordeaux Sciences Agro, INRAE, Villenave d'Ornon, 33140, France
| | - Antje Lucas-Moffat
- Thünen Institute of Climate-Smart Agriculture, Federal Research Institute of Rural Areas, Forestry and Fisheries, Braunschweig, 38116, Germany.,German Meteorological Service (DWD), Centre for Agrometeorological Research, Braunschweig, 38116, Germany
| | - Johannes Lüers
- Micrometeorology, University of Bayreuth, Bayreuth, 95440, Germany.,Bayreuth Center of Ecology and Environmental Research, 95448, Bayreuth, Germany
| | - Siyan Ma
- ESPM, University of California Berkeley, Berkeley, CA, 94720, USA
| | | | - Vincenzo Magliulo
- Institute for Agricultural and Forestry Systems in the Mediterranean, National Research Council of Italy, Ercolano, 80056, Italy
| | - Regine Maier
- Department of Environmental Systems Science, ETH Zurich, Zurich, 8092, Switzerland
| | - Ivan Mammarella
- Institute for Atmosphere and Earth System Research/Physics, University of Helsinki, Helsinki, 00560, Finland
| | - Giovanni Manca
- Joint Research Centre, European Commission, Ispra, 21027, Italy
| | - Barbara Marcolla
- Department of Sustainable Agro-ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele All'adige, 38010, Italy
| | - Hank A Margolis
- Centre d'étude de la forêt, Faculté de foresterie, de géographie et de géomatique, Université Laval, Québec, QC, G1V0A6, Canada
| | - Serena Marras
- Euro-Mediterranean Centre on Climate Change Foundation (CMCC), Lecce, 73100, Italy.,Department of Agriculture, University of Sassari, Sassari, 07100, Italy
| | - William Massman
- USDA Forest Service, Rocky Mountain Research Station, Fort Collins, CO, 80526, USA
| | - Mikhail Mastepanov
- Department of Bioscience, Arctic Research Center, Aarhus University, Roskilde, 4000, Denmark.,Oulanka research station, University of Oulu, Kuusamo, 93900, Finland
| | - Roser Matamala
- Environmental Science Division, Argonne National Laboratory, Lemont, IL, 60439, USA
| | | | - Francesco Mazzenga
- Research Institute on Terrestrial Ecosystems, National Research Council of Italy, Monterotondo Scalo, 00015, Italy
| | - Harry McCaughey
- Department of Geography and Planning, Queen's University, Kingston, ON, K7L3N6, Canada
| | - Ian McHugh
- School of Ecosystem and Forest Sciences, The University of Melbourne, Richmond, VIC3121, Australia
| | - Andrew M S McMillan
- Environmental Analytics NZ, Ltd. Raumati South, Paraparaumu, 5032, New Zealand
| | - Lutz Merbold
- Mazingira Centre, International Livestock Research Institute (ILRI), Nairobi, 00100, Kenya
| | - Wayne Meyer
- Biological Sciences, University of Adelaide, Adelaide, SA5064, Australia
| | - Tilden Meyers
- NOAA/OAR/Air Resources Laboratory, 325 Broadway, Boulder, CO, 80303, USA
| | - Scott D Miller
- Atmospheric Sciences Research Center, State University of New York at Albany, Albany, NY, 12203, USA
| | | | - Uta Moderow
- Institute of Hydrology and Meteorology, Technische Universität Dresden, Tharandt, 01737, Germany
| | - Russell K Monson
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, 85721, USA
| | - Leonardo Montagnani
- Forest Department of South Tyrol, Bolzano, 39100, Italy.,Faculty of Science and Technology, Free University of Bolzano, Bolzano, 39100, Italy
| | - Caitlin E Moore
- Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Eddy Moors
- IHE Delft, Delft, 2611, The Netherlands.,Faculty of Science, VU Amsterdam, Amsterdam, 1081, The Netherlands
| | - Virginie Moreaux
- ISPA, Bordeaux Sciences Agro, INRAE, Villenave d'Ornon, 33140, France.,University Grenoble Alpes, IRD, CNRS, IGE, Grenoble, 38000, France
| | - Christine Moureaux
- TERRA Teaching and Research Center, University of Liege, Gembloux, B-5030, Belgium
| | - J William Munger
- School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA.,Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, 02138, USA
| | - Taro Nakai
- School of Forestry and Resource Conservation, National Taiwan University, Taipei, 0617, Taiwan.,International Arctic Research Center, University of Alaska Fairbanks, Fairbanks, AK, 99775, USA
| | - Johan Neirynck
- Environment and Climate, Research Institute for Nature and Forest, Geraardsbergen, 9500, Belgium
| | - Zoran Nesic
- Faculty of Land and Food Systems, University of British Columbia, Vancouver, BC, V6T1Z4, Canada
| | - Giacomo Nicolini
- DIBAF, University of Tuscia, Viterbo, 01100, Italy.,Euro-Mediterranean Centre on Climate Change Foundation (CMCC), Lecce, 73100, Italy
| | - Asko Noormets
- Department of Ecosystem Science and Management, Texas A&M University, College Station, TX, 77843, USA
| | - Matthew Northwood
- Research Institute for the Environment and Livelihoods, Charles Darwin University, Casuarina, 0810, Australia
| | - Marcelo Nosetto
- Grupo de Estudios Ambientales, Instituto de Matemática Aplicada San Luis (UNSL & CONICET), San Luis, D5700HHW, Argentina.,Facultad de Ciencias Agropecuarias (UNER), Oro Verde, 3100, Argentina
| | - Yann Nouvellon
- UMR Eco&Sols, CIRAD, Montpellier, 34060, France.,Eco&Sols, Univ Montpellier-CIRAD-INRA-IRD-Montpellier SupAgro, Montpellier, 34060, France
| | - Kimberly Novick
- O'Neill School of Public and Environmental Affairs, Indiana University Bloomington, Bloomington, IN, 47405, USA
| | - Walter Oechel
- Global Change Research Group, Dept. Biology, San Diego State University, San Diego, CA, 92182, USA.,Department of Geography, College of Life and Environmental Sciences, University of Exeter, Exeter, EX44RJ, United Kingdom
| | - Jørgen Eivind Olesen
- Department of Agroecology, Aarhus University, Tjele, 8830, Denmark.,iCLIMATE, Aarhus University, Tjele, 8830, Denmark
| | | | - Shirley A Papuga
- Department of Geology, Wayne State University, Detroit, MI, 48202, USA
| | - Frans-Jan Parmentier
- Department of Physical Geography and Ecosystem Science, Lund University, Lund, 22362, Sweden.,Department of Geosciences, University of Oslo, Oslo, 0315, Norway
| | | | - Marian Pavelka
- Department of Matter and Energy Fluxes, Global Change Research Institute of the Czech Academy of Sciences, Brno, 60300, Czech Republic
| | - Matthias Peichl
- Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, 90183, Sweden
| | - Elise Pendall
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, 2751, Australia
| | - Richard P Phillips
- Department of Biology, Indiana University Bloomington, Bloomington, IN, 47401, USA
| | - Kim Pilegaard
- Department of Environmental Engineering, Technical University of Denmark (DTU), Kongens Lyngby, 2800, Denmark
| | - Norbert Pirk
- Department of Physical Geography and Ecosystem Science, Lund University, Lund, 22362, Sweden.,CSIRO Land and Water, Wembley, 6913, Australia
| | - Gabriela Posse
- Instituto de Clima y Agua, Instituto Nacional de Tecnologia Agropecuaria (INTA), Buenos Aires, 1686, Argentina
| | - Thomas Powell
- Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Heiko Prasse
- Institute of Hydrology and Meteorology, Technische Universität Dresden, Tharandt, 01737, Germany
| | | | - Serge Rambal
- CEFE, CNRS, Univ Montpellier, Montpellier, 34293, France
| | - Üllar Rannik
- Institute for Atmosphere and Earth System Research/Physics, University of Helsinki, Helsinki, 00560, Finland
| | - Naama Raz-Yaseef
- Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Corinna Rebmann
- Department Computational Hydrosystems, Helmholtz Centre for Environmental Research UFZ, Leipzig, 04318, Germany
| | - David Reed
- Center for Global Change & Earth Observations, Michigan State University, East Lansing, MI, 48823, USA
| | - Victor Resco de Dios
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, 2751, Australia.,School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, 621010, China
| | - Natalia Restrepo-Coupe
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, 85721, USA
| | - Borja R Reverter
- Departamento de Química e Física, Universidade Federal da Paraiba, Areia, PB, 58397-000, Brazil
| | - Marilyn Roland
- Department of Biology, Research Group PLECO, University of Antwerp, Antwerp, 2610, Belgium
| | | | - Torsten Sachs
- Remote Sensing and Geoinformatics, GFZ German Research Centre for Geosciences, Potsdam, 14473, Germany
| | - Scott R Saleska
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, 85721, USA
| | - Enrique P Sánchez-Cañete
- Department of Applied Physics, University of Granada, Granada, 18071, Spain.,Andalusian Institute for Earth System Research (CEAMA-IISTA), Granada, 18006, Spain
| | - Zulia M Sanchez-Mejia
- Ciencias del Agua y Medioambiente, Instituto Tecnológico de Sonora, Ciudad Obregón, 85000, Mexico
| | - Hans Peter Schmid
- Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Garmisch-Partenkirchen, 82467, Germany
| | - Marius Schmidt
- Agrosphere (IBG3), Forschungszentrum Jülich, Jülich, 52428, Germany
| | - Karl Schneider
- Geographical Institute, University of Cologne, Cologne, 50923, Germany
| | - Frederik Schrader
- Thünen Institute of Climate-Smart Agriculture, Federal Research Institute of Rural Areas, Forestry and Fisheries, Braunschweig, 38116, Germany
| | - Ivan Schroder
- Department of Industry, Innovation and Science, Geoscience Australia, Canberra, 2609, Australia
| | - Russell L Scott
- Southwest Watershed Research Center, USDA-ARS, Tucson, AZ, 85719, USA
| | - Pavel Sedlák
- Department of Matter and Energy Fluxes, Global Change Research Institute of the Czech Academy of Sciences, Brno, 60300, Czech Republic.,Institute of Atmospheric Physics of the Czech Academy of Sciences, Prague, 14100, Czech Republic
| | - Penélope Serrano-Ortíz
- Andalusian Institute for Earth System Research (CEAMA-IISTA), Granada, 18006, Spain.,Department of Ecology, University of Granada, Granada, 18071, Spain
| | - Changliang Shao
- National Hulunber Grassland Ecosystem Observation and Research Station & Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Peili Shi
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Ivan Shironya
- A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, 119071, Russia
| | - Lukas Siebicke
- Bioclimatology, University of Goettingen, Goettingen, 37077, Germany
| | - Ladislav Šigut
- Department of Matter and Energy Fluxes, Global Change Research Institute of the Czech Academy of Sciences, Brno, 60300, Czech Republic
| | - Richard Silberstein
- School of Agriculture and Environment, University of Western Australia, Crawley, 6009, Australia.,School of Science, Edith Cowan University, Joondalup, 6027, Australia
| | - Costantino Sirca
- Euro-Mediterranean Centre on Climate Change Foundation (CMCC), Lecce, 73100, Italy.,Department of Agriculture, University of Sassari, Sassari, 07100, Italy
| | - Donatella Spano
- Euro-Mediterranean Centre on Climate Change Foundation (CMCC), Lecce, 73100, Italy.,Department of Agriculture, University of Sassari, Sassari, 07100, Italy
| | - Rainer Steinbrecher
- Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Garmisch-Partenkirchen, 82467, Germany
| | | | - Cove Sturtevant
- National Ecological Observatory Network Program, Boulder, CO, 80301, USA
| | - Andy Suyker
- School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, 68583, USA
| | - Torbern Tagesson
- Department of Physical Geography and Ecosystem Science, Lund University, Lund, 22362, Sweden.,Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, 1350, Denmark
| | - Satoru Takanashi
- Kansai Research Center, Forestry and Forest Products Research Institute, Kyoto, 612-0855, Japan
| | - Yanhong Tang
- College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Nigel Tapper
- School of Earth, Atmosphere and Environment, Monash University, Clayton, 3800, Australia
| | - Jonathan Thom
- Space Science and Engineering Center, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Michele Tomassucci
- DIBAF, University of Tuscia, Viterbo, 01100, Italy.,Terrasystem srl, Viterbo, 01100, Italy
| | | | - Shawn Urbanski
- USDA Forest Service, Rocky Mountain Research Station, Missoula, MT, 59808, USA
| | - Riccardo Valentini
- DIBAF, University of Tuscia, Viterbo, 01100, Italy.,Euro-Mediterranean Centre on Climate Change Foundation (CMCC), Lecce, 73100, Italy
| | - Michiel van der Molen
- Meteorology and Air Quality group, Wageningen University, 6500, Wageningen, The Netherlands
| | - Eva van Gorsel
- Fenner School of Environment and Society, Australian National University Canberra, Canberra, ACT, 2600, Australia
| | - Ko van Huissteden
- Department of Earth Sciences, Vrije Universiteit Amsterdam, Amsterdam, 1081 HV, The Netherlands
| | - Andrej Varlagin
- A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, 119071, Russia
| | | | - Timo Vesala
- Institute for Atmosphere and Earth System Research/Physics, University of Helsinki, Helsinki, 00560, Finland
| | - Caroline Vincke
- Earth and Life Institute, Université Catholique de Louvain, Louvain, 1348, Belgium
| | - Domenico Vitale
- DIBAF, University of Tuscia, Viterbo, 01100, Italy.,Euro-Mediterranean Centre on Climate Change Foundation (CMCC), Lecce, 73100, Italy
| | - Natalia Vygodskaya
- A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, 119071, Russia
| | - Jeffrey P Walker
- Department of Civil Engineering, Monash University, Clayton, 3800, Australia
| | - Elizabeth Walter-Shea
- School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, 68583, USA
| | - Huimin Wang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Robin Weber
- ESPM, University of California Berkeley, Berkeley, CA, 94720, USA
| | - Sebastian Westermann
- Instituto de Clima y Agua, Instituto Nacional de Tecnologia Agropecuaria (INTA), Buenos Aires, 1686, Argentina
| | - Christian Wille
- Remote Sensing and Geoinformatics, GFZ German Research Centre for Geosciences, Potsdam, 14473, Germany
| | - Steven Wofsy
- School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA.,Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, 02138, USA
| | - Georg Wohlfahrt
- Department of Ecology, University of Innsbruck, Innsbruck, 6020, Austria
| | - Sebastian Wolf
- Department of Environmental Systems Science, ETH Zurich, Zurich, 8092, Switzerland
| | - William Woodgate
- CSIRO Land and Water, Canberra, 2601, Australia.,School of Earth and Environmental Sciences, The University of Queensland, St Lucia, 4072, Australia
| | - Yuelin Li
- South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China
| | - Roberto Zampedri
- Department of Sustainable Agro-ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele All'adige, 38010, Italy
| | - Junhui Zhang
- Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China
| | - Guoyi Zhou
- College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Donatella Zona
- Global Change Research Group, Dept. Biology, San Diego State University, San Diego, CA, 92182, USA.,Department of Animal and Plant Sciences, University of Sheffield, Sheffield, S102TN, United Kingdom
| | - Deb Agarwal
- Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Sebastien Biraud
- Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Margaret Torn
- Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Dario Papale
- DIBAF, University of Tuscia, Viterbo, 01100, Italy. .,Euro-Mediterranean Centre on Climate Change Foundation (CMCC), Lecce, 73100, Italy.
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25
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Wigneron JP, Fan L, Ciais P, Bastos A, Brandt M, Chave J, Saatchi S, Baccini A, Fensholt R. Tropical forests did not recover from the strong 2015-2016 El Niño event. Sci Adv 2020; 6:eaay4603. [PMID: 32076648 PMCID: PMC7002128 DOI: 10.1126/sciadv.aay4603] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Accepted: 11/22/2019] [Indexed: 05/29/2023]
Abstract
Severe drought and extreme heat associated with the 2015-2016 El Niño event have led to large carbon emissions from the tropical vegetation to the atmosphere. With the return to normal climatic conditions in 2017, tropical forest aboveground carbon (AGC) stocks are expected to partly recover due to increased productivity, but the intensity and spatial distribution of this recovery are unknown. We used low-frequency microwave satellite data (L-VOD) to feature precise monitoring of AGC changes and show that the AGC recovery of tropical ecosystems was slow and that by the end of 2017, AGC had not reached predrought levels of 2014. From 2014 to 2017, tropical AGC stocks decreased by1.3 1.2 1.5 Pg C due to persistent AGC losses in Africa (- 0.9 - 1.1 - 0.8 Pg C) and America (- 0.5 - 0.6 - 0.4 Pg C). Pantropically, drylands recovered their carbon stocks to pre-El Niño levels, but African and American humid forests did not, suggesting carryover effects from enhanced forest mortality.
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Affiliation(s)
- Jean-Pierre Wigneron
- ISPA, UMR 1391, Inrae Nouvelle-Aquitaine, Université de Bordeaux, Grande Ferrade, Villenave d’Ornon, France
| | - Lei Fan
- ISPA, UMR 1391, Inrae Nouvelle-Aquitaine, Université de Bordeaux, Grande Ferrade, Villenave d’Ornon, France
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - Ana Bastos
- Department of Geography, Ludwig-Maximilians Universität, Luisenstr. 37, 80333 Munich, Germany
| | - Martin Brandt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Jérome Chave
- Laboratoire Evolution and Diversité Biologique, Bâtiment 4R3 Université Paul Sabatier, Toulouse, France
| | - Sassan Saatchi
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
- Institute of the Environment and Sustainability, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Alessandro Baccini
- Woods Hole Research Center, 149 Woods Hole Road, Falmouth, MA 02540-1644, USA
- Department of Earth and Environment, Boston University, Boston, MA 02215, USA
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
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26
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Tagesson T, Schurgers G, Horion S, Ciais P, Tian F, Brandt M, Ahlström A, Wigneron JP, Ardö J, Olin S, Fan L, Wu Z, Fensholt R. Recent divergence in the contributions of tropical and boreal forests to the terrestrial carbon sink. Nat Ecol Evol 2020; 4:202-209. [DOI: 10.1038/s41559-019-1090-0] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2019] [Accepted: 12/19/2019] [Indexed: 11/09/2022]
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27
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Fan L, Wigneron JP, Ciais P, Chave J, Brandt M, Fensholt R, Saatchi SS, Bastos A, Al-Yaari A, Hufkens K, Qin Y, Xiao X, Chen C, Myneni RB, Fernandez-Moran R, Mialon A, Rodriguez-Fernandez NJ, Kerr Y, Tian F, Peñuelas J. Satellite-observed pantropical carbon dynamics. Nat Plants 2019; 5:944-951. [PMID: 31358958 DOI: 10.1038/s41477-019-0478-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Accepted: 06/19/2019] [Indexed: 06/10/2023]
Abstract
Changes in terrestrial tropical carbon stocks have an important role in the global carbon budget. However, current observational tools do not allow accurate and large-scale monitoring of the spatial distribution and dynamics of carbon stocks1. Here, we used low-frequency L-band passive microwave observations to compute a direct and spatially explicit quantification of annual aboveground carbon (AGC) fluxes and show that the tropical net AGC budget was approximately in balance during 2010 to 2017, the net budget being composed of gross losses of -2.86 PgC yr-1 offset by gross gains of -2.97 PgC yr-1 between continents. Large interannual and spatial fluctuations of tropical AGC were quantified during the wet 2011 La Niña year and throughout the extreme dry and warm 2015-2016 El Niño episode. These interannual fluctuations, controlled predominantly by semiarid biomes, were shown to be closely related to independent global atmospheric CO2 growth-rate anomalies (Pearson's r = 0.86), highlighting the pivotal role of tropical AGC in the global carbon budget.
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Affiliation(s)
- Lei Fan
- School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing, China
- ISPA, UMR 1391, INRA Nouvelle-Aquitaine, Villenave d'Ornon, France
| | | | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l'Environnement, CEA/CNRS/UVSQ/Université Paris Saclay, Gif-sur-Yvette, France.
| | - Jérôme Chave
- Laboratoire Evolution et Diversité Biologique, Université Paul Sabatier, Toulouse, France
| | - Martin Brandt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Sassan S Saatchi
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
- Institute of the Environment and Sustainability, University of California, Los Angeles, CA, USA
| | - Ana Bastos
- Department of Geography, Ludwig-Maximilians Universität, Munich, Germany
| | - Amen Al-Yaari
- ISPA, UMR 1391, INRA Nouvelle-Aquitaine, Villenave d'Ornon, France
| | - Koen Hufkens
- ISPA, UMR 1391, INRA Nouvelle-Aquitaine, Villenave d'Ornon, France
- Department of Applied Ecology and Environmental Biology, Ghent University, Ghent, Belgium
| | - Yuanwei Qin
- Department of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, Norman, OK, USA
| | - Xiangming Xiao
- Department of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, Norman, OK, USA
| | - Chi Chen
- Department of Earth and Environment, Boston University, Boston, MA, USA
| | - Ranga B Myneni
- Department of Earth and Environment, Boston University, Boston, MA, USA
| | | | - Arnaud Mialon
- CESBIO, Université de Toulouse, CNES/CNRS/INRA/IRD/UPS, Toulouse, France
| | | | - Yann Kerr
- CESBIO, Université de Toulouse, CNES/CNRS/INRA/IRD/UPS, Toulouse, France
| | - Feng Tian
- Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
| | - Josep Peñuelas
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Spain
- CREAF, Cerdanyola del Vallès, Spain
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28
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Brandt M, Hiernaux P, Rasmussen K, Tucker CJ, Wigneron JP, Diouf AA, Herrmann SM, Zhang W, Kergoat L, Mbow C, Abel C, Auda Y, Fensholt R. Changes in rainfall distribution promote woody foliage production in the Sahel. Commun Biol 2019; 2:133. [PMID: 31044158 PMCID: PMC6478729 DOI: 10.1038/s42003-019-0383-9] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Accepted: 03/13/2019] [Indexed: 11/09/2022] Open
Abstract
Dryland ecosystems comprise a balance between woody and herbaceous vegetation. Climate change impacts rainfall timing, which may alter the respective contributions of woody and herbaceous plants on the total vegetation production. Here, we apply 30 years of field-measured woody foliage and herbaceous mass from Senegal and document a faster increase in woody foliage mass (+17 kg ha-1 yr-1) as compared to herbaceous mass (+3 kg ha-1 yr-1). Annual rainfall trends were partitioned into core wet-season rains (+0.7 mm yr-1), supporting a weak but periodic (5-year cycles) increase in herbaceous mass, and early/late rains (+2.1 mm yr-1), explaining the strongly increased woody foliage mass. Satellite observations confirm these findings for the majority of the Sahel, with total herbaceous/woody foliage mass increases by 6%/20%. We conclude that the rainfall recovery in the Sahel does not benefit herbaceous vegetation to the same extent as woody vegetation, presumably favoured by increased early/late rains.
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Affiliation(s)
- Martin Brandt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350 Copenhagen, Denmark
| | - Pierre Hiernaux
- Pastoralisme Conseil, 30 chemin de Jouanal, 82160 Caylus, France
| | - Kjeld Rasmussen
- Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350 Copenhagen, Denmark
| | - Compton J. Tucker
- NASA Goddard Space Flight Center, Mail Code 610.9, Greenbelt, MD 20771 USA
| | | | | | - Stefanie M. Herrmann
- Agricultural and Biosystems Engineering, The University of Arizona, 1177 E. 4th Street, Tucson, AZ 85721 USA
| | - Wenmin Zhang
- Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350 Copenhagen, Denmark
| | - Laurent Kergoat
- Geosciences Environnement Toulouse (GET), Observatoire Midi-Pyrénées, UMR 5563 (CNRS/UPS/IRD/CNES), 14 Avenue Edouard Belin, 31400 Toulouse, France
| | - Cheikh Mbow
- START International Inc., 2000 Florida Ave NW, Washington, DC 20009 USA
| | - Christin Abel
- Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350 Copenhagen, Denmark
| | - Yves Auda
- Geosciences Environnement Toulouse (GET), Observatoire Midi-Pyrénées, UMR 5563 (CNRS/UPS/IRD/CNES), 14 Avenue Edouard Belin, 31400 Toulouse, France
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350 Copenhagen, Denmark
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29
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Wu Z, Hugelius G, Luo Y, Smith B, Xia J, Fensholt R, Lehsten V, Ahlström A. Approaching the potential of model-data comparisons of global land carbon storage. Sci Rep 2019; 9:3367. [PMID: 30833586 PMCID: PMC6399261 DOI: 10.1038/s41598-019-38976-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Accepted: 01/03/2019] [Indexed: 11/08/2022] Open
Abstract
Carbon storage dynamics in vegetation and soil are determined by the balance of carbon influx and turnover. Estimates of these opposing fluxes differ markedly among different empirical datasets and models leading to uncertainty and divergent trends. To trace the origin of such discrepancies through time and across major biomes and climatic regions, we used a model-data fusion framework. The framework emulates carbon cycling and its component processes in a global dynamic ecosystem model, LPJ-GUESS, and preserves the model-simulated pools and fluxes in space and time. Thus, it allows us to replace simulated carbon influx and turnover with estimates derived from empirical data, bringing together the strength of the model in representing processes, with the richness of observational data informing the estimations. The resulting vegetation and soil carbon storage and global land carbon fluxes were compared to independent empirical datasets. Results show model-data agreement comparable to, or even better than, the agreement between independent empirical datasets. This suggests that only marginal improvement in land carbon cycle simulations can be gained from comparisons of models with current-generation datasets on vegetation and soil carbon. Consequently, we recommend that model skill should be assessed relative to reference data uncertainty in future model evaluation studies.
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Affiliation(s)
- Zhendong Wu
- Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, SE-223 62, Lund, Sweden.
- Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350, Copenhagen, Denmark.
| | - Gustaf Hugelius
- Department of Earth System Science, School of Earth, Energy and Environmental Sciences, Stanford University, Stanford, CA, 94305, USA
- Department of Physical Geography and Bolin Centre for Climate Research, 10691 Stockholm University, Stockholm, Sweden
| | - Yiqi Luo
- Center for Ecosystem Science and Society (Ecoss) and Department of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, USA
| | - Benjamin Smith
- Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, SE-223 62, Lund, Sweden
- Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
| | - Jianyang Xia
- Research Center for Global Change and Ecological Forecasting, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, China
- Institude of Eco-Chongming (IEC), 3663 N. Zhongshan Rd., Shanghai, 200062, China
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350, Copenhagen, Denmark
| | - Veiko Lehsten
- Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, SE-223 62, Lund, Sweden
- Swiss Federal Institute for Forest, Snow and Landscape research (WSL), Zürcherstr, 11 CH-8903, Birmensdorf, Switzerland
| | - Anders Ahlström
- Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, SE-223 62, Lund, Sweden
- Department of Earth System Science, School of Earth, Energy and Environmental Sciences, Stanford University, Stanford, CA, 94305, USA
- Center for Middle Eastern Studies, Lund University, Box 201, SE-221 00, Lund, Sweden
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30
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Chen C, Park T, Wang X, Piao S, Xu B, Chaturvedi RK, Fuchs R, Brovkin V, Ciais P, Fensholt R, Tømmervik H, Bala G, Zhu Z, Nemani RR, Myneni RB. China and India lead in greening of the world through land-use management. Nat Sustain 2019; 2:122-129. [PMID: 30778399 PMCID: PMC6376198 DOI: 10.1038/s41893-019-0220-7] [Citation(s) in RCA: 496] [Impact Index Per Article: 99.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2018] [Accepted: 01/02/2019] [Indexed: 05/18/2023]
Abstract
Satellite data show increasing leaf area of vegetation due to direct (human land-use management) and indirect factors (climate change, CO2 fertilization, nitrogen deposition, recovery from natural disturbances, etc.). Among these, climate change and CO2 fertilization effect seem to be the dominant drivers. However, recent satellite data (2000-2017) reveal a greening pattern that is strikingly prominent in China and India, and overlapping with croplands world-wide. China alone accounts for 25% of the global net increase in leaf area with only 6.6% of global vegetated area. The greening in China is from forests (42%) and croplands (32%), but in India is mostly from croplands (82%) with minor contribution from forests (4.4%). China is engineering ambitious programs to conserve and expand forests with the goal of mitigating land degradation, air pollution and climate change. Food production in China and India has increased by over 35% since 2000 mostly due to increasing harvested area through multiple cropping facilitated by fertilizer use and surface/ground-water irrigation. Our results indicate that the direct factor is a key driver of the "Greening Earth", accounting for over a third, and likely more, of the observed net increase in green leaf area. They highlight the need for realistic representation of human land-use practices in Earth system models.
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Affiliation(s)
- Chi Chen
- Department of Earth and Environment, Boston University, Boston, MA 02215, USA
| | - Taejin Park
- Department of Earth and Environment, Boston University, Boston, MA 02215, USA
| | - Xuhui Wang
- Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Shilong Piao
- Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Baodong Xu
- Department of Earth and Environment, Boston University, Boston, MA 02215, USA
- College of Resource and Environment, Huazhong Agricultural University, 1 Shizishan Street, Wuhan 430070, China
| | | | - Richard Fuchs
- Institute of Meteorology and Climate Research - Atmospheric Environmental Research, Karlsruhe Institute of Technology, 82467 Garmisch-Partenkirchen, Germany
| | - Victor Brovkin
- Max-Planck-Institute for Meteorology, Bundesstrasse 53, 20146 Hamburg, Germany
| | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l'Environnement/IPSL, CEA-CNRS-UVSQ, Université Paris Saclay, Gif-sur-Yvette, France
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Hans Tømmervik
- Norwegian Institute for Nature Research, Fram Centre, 9296 Tromsø, Norway
| | - Govindasamy Bala
- Center for Atmospheric and Oceanic Sciences, Indian Institute of Science, Bangalore, Karnataka 560012, India
| | - Zaichun Zhu
- Shenzhen Key Laboratory of Circular Economy, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
| | | | - Ranga B Myneni
- Department of Earth and Environment, Boston University, Boston, MA 02215, USA
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31
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Zhang W, Brandt M, Penuelas J, Guichard F, Tong X, Tian F, Fensholt R. Ecosystem structural changes controlled by altered rainfall climatology in tropical savannas. Nat Commun 2019; 10:671. [PMID: 30737376 PMCID: PMC6368604 DOI: 10.1038/s41467-019-08602-6] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Accepted: 01/15/2019] [Indexed: 11/08/2022] Open
Abstract
Tropical savannas comprise mixed woodland grassland ecosystems in which trees and grasses compete for water resources thereby maintaining the spatial structuring of this ecosystem. A global change in rainfall climatology may impact the structure of tropical savanna ecosystems by favouring woody plants, relative to herbaceous vegetation. Here we analysed satellite data and observed a relatively higher increase in woody vegetation (5%) as compared to the increase in annual maximum leaf area index (LAImax, an indicator of the total green vegetation production) (3%) in arid and semi-arid savannas over recent decades. We further observed a declining sensitivity of LAImax to annual rainfall over 56% of the tropical savannas, spatially overlapping with areas of increased woody cover and altered rainfall climatology. This suggests a climate-induced shift in the coexistence of woody and herbaceous vegetation in savanna ecosystems, possibly caused by altered hydrological conditions with significance for land cover and associated biophysical effects such as surface albedo and evapotranspiration.
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Affiliation(s)
- Wenmin Zhang
- Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350, Copenhagen, Denmark.
- International Institute for Earth System Sciences, Nanjing University, 210023, Nanjing, China.
| | - Martin Brandt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350, Copenhagen, Denmark
| | - Josep Penuelas
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, 08193, Catalonia, Spain
- CREAF, Cerdanyola del Vallès, 08193, Catalonia, Spain
| | - Françoise Guichard
- Centre National de Recherches Météorologiques (CNRM), UMR CNRS 3589 and Météo-France, 42 Avenue Gaspard Coriolis, 31057, Toulouse, France
| | - Xiaoye Tong
- Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350, Copenhagen, Denmark
| | - Feng Tian
- Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350, Copenhagen, Denmark
- Department of Physical Geography and Ecosystem Science, Lund University, 22362, Lund, Sweden
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350, Copenhagen, Denmark
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32
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Grogan K, Pflugmacher D, Hostert P, Mertz O, Fensholt R. Unravelling the link between global rubber price and tropical deforestation in Cambodia. Nat Plants 2019; 5:47-53. [PMID: 30598534 DOI: 10.1038/s41477-018-0325-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Accepted: 11/09/2018] [Indexed: 06/09/2023]
Abstract
Tropical forests continue to undergo a rapid transformation. The expansion of rubber tree (Hevea brasiliensis) plantations has been reported as a major driver of forest loss, linked to a boom in market demand. Distant commodity markets have spurred a surge of large-scale economic land concessions granted throughout tropical Southeast Asia. Using satellite imagery, we show the impact of rubber tree plantations on Cambodian forest cover and analyse how annual forest-to-rubber conversion rates relate to global rubber prices from 2001 to 2015. We found that 23.5 ± 1.8% of national forest cover was cleared in this period, with 23.2 ± 3.6% of cleared forest converted to rubber plantations. Annual forest-to-rubber conversion rates closely correlated with global rubber prices, with a time lag of 8-9 months (Pearson's r = 0.93). Our results reveal a strong link between global commodity markets and tropical forest loss, particularly in countries with land policies geared towards rapid development.
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Affiliation(s)
- Kenneth Grogan
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark.
- DHI-GRAS A/S, Hørsholm, Denmark.
| | - Dirk Pflugmacher
- Geography Department, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Patrick Hostert
- Geography Department, Humboldt-Universität zu Berlin, Berlin, Germany
- Integrative Research Institute on Transformations of Human-Environment Systems, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Ole Mertz
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
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33
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Wang L, Tian F, Wang Y, Wu Z, Schurgers G, Fensholt R. Acceleration of global vegetation greenup from combined effects of climate change and human land management. Glob Chang Biol 2018; 24:5484-5499. [PMID: 29963745 DOI: 10.1111/gcb.14369] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Revised: 05/16/2018] [Accepted: 06/07/2018] [Indexed: 06/08/2023]
Abstract
Global warming and human land management have greatly influenced vegetation growth through both changes in spring phenology and photosynthetic primary production. This will presumably impact the velocity of vegetation greenup (Vgreenup, the daily rate of changes in vegetation productivity during greenup period), yet little is currently known about the spatio-temporal patterns of Vgreenup of global vegetation. Here, we define Vgreenup as the ratio of the amplitude of greenup (Agreenup) to the duration of greenup (Dgreenup) and derive global Vgreenup from 34-year satellite leaf area index (LAI) observations to study spatio-temporal dynamics of Vgreenup at the global, hemispheric, and ecosystem scales. We find that 19.9% of the pixels analyzed (n = 1,175,453) experienced significant trends toward higher greenup rates by an average of 0.018 m2 m-2 day-1 for 1982-2015 as compared to 8.6% of pixels with significant negative trends (p < 0.05). Global distribution and dynamics of Vgreenup show high spatial heterogeneity and ecosystem-specific patterns, which is primarily determined by the high spatial variation in Agreenup, while the temporal dynamics of Vgreenup are directly controlled by both changes in Dgreenup and Agreenup. Areas with the largest Vgreenup and largest positive trends are both observed in deciduous and mixed forests as compared to nonforest ecosystems showing both lower Vgreenup and trends. For nonforest ecosystems, human-managed ecosystems (e.g., rangelands and rainfed croplands) exhibited higher Vgreenup and positive trends than those of natural counterparts, suggesting strong imprints of human land management on terrestrial ecosystem functioning. Globally, warming has accelerated Vgreenup in temperature-constrained high latitude forest ecosystems and arctic regions, but decelerated Vgreenup in temperate and arid/semiarid areas. These results suggest that the combined effects of climate change and human land management have greatly accelerated global vegetation greenup, with important implications for changes in terrestrial ecosystem functioning and global carbon cycling.
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Affiliation(s)
- Lanhui Wang
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Feng Tian
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
- Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
| | - Yuhang Wang
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, China
| | - Zhendong Wu
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
- Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
| | - Guy Schurgers
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
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34
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Di Lucchio LM, Fensholt R, Markussen B, Ræbild A. Leaf phenology of thirteen African origins of baobab ( Adansonia digitata (L.)) as influenced by daylength and water availability. Ecol Evol 2018; 8:11261-11272. [PMID: 30519442 PMCID: PMC6262930 DOI: 10.1002/ece3.4600] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 09/04/2018] [Accepted: 09/14/2018] [Indexed: 11/08/2022] Open
Abstract
Water availability is often described as one of the main drivers of phenology of tropical dry forests but experimental studies to identify the cues triggering phenological changes are few. In a greenhouse trial, we exposed seedlings of thirteen origins, seven from West and six from East Africa, respectively, of Adansonia digitata L.(baobab) to a well-watered control treatment and a water withholding treatment in combination with exposure to three different daylengths (11.5, 12.0, and 12.5 hr). Responses were measured in terms of meristematic activity, number of leaves, and height growth followed over 6.5 months. Multi-level mixed-effects statistical models were used to analyze how environmental and inter-population variables affected phenological behavior. Flushing was influenced by the daylength with the lowest degree of meristematic activity observed in the short daylength treatment. Daylength also influenced the number of leaves through an interaction with the water regime. The water regime influenced all variables through interactions with the origins. Seedlings subjected to water stress had higher meristematic activity, but initially lower numbers of leaves than continuously watered plants. Height growth in continuously watered plants was fastest or at par with water-stressed plants, depending on the origin. Origins from West Africa tended to have higher meristematic activity and their phenology was found to be less influenced by water withholding than East African origins. There were no signs of significant differences between origins in their response to photoperiod. In conclusion, baobab seedlings show opportunistic behavior, setting leaves when water is available, but larger activity is found when days are long. We discuss the results in terms of triggering factors for baobab phenology and adaptation to specific environmental conditions at the site of origins.
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Affiliation(s)
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource ManagementUniversity of CopenhagenCopenhagenDenmark
| | - Bo Markussen
- Laboratory for Applied Statistics, Department of Mathematical SciencesUniversity of CopenhagenCopenhagenDenmark
| | - Anders Ræbild
- Department of Geosciences and Natural Resource ManagementUniversity of CopenhagenCopenhagenDenmark
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35
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Tian F, Wigneron JP, Ciais P, Chave J, Ogée J, Peñuelas J, Ræbild A, Domec JC, Tong X, Brandt M, Mialon A, Rodriguez-Fernandez N, Tagesson T, Al-Yaari A, Kerr Y, Chen C, Myneni RB, Zhang W, Ardö J, Fensholt R. Coupling of ecosystem-scale plant water storage and leaf phenology observed by satellite. Nat Ecol Evol 2018; 2:1428-1435. [PMID: 30104750 DOI: 10.1038/s41559-018-0630-3] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Accepted: 07/06/2018] [Indexed: 11/09/2022]
Abstract
Plant water storage is fundamental to the functioning of terrestrial ecosystems by participating in plant metabolism, nutrient and sugar transport, and maintenance of the integrity of the hydraulic system of the plant. However, a global view of the size and dynamics of the water pools stored in plant tissues is still lacking. Here, we report global patterns of seasonal variations in ecosystem-scale plant water storage and their relationship with leaf phenology, based on space-borne measurements of L-band vegetation optical depth. We find that seasonal variations in plant water storage are highly synchronous with leaf phenology for the boreal and temperate forests, but asynchronous for the tropical woodlands, where the seasonal development of plant water storage lags behind leaf area by up to 180 days. Contrasting patterns of the time lag between plant water storage and terrestrial groundwater storage are also evident in these ecosystems. A comparison of the water cycle components in seasonally dry tropical woodlands highlights the buffering effect of plant water storage on the seasonal dynamics of water supply and demand. Our results offer insights into ecosystem-scale plant water relations globally and provide a basis for an improved parameterization of eco-hydrological and Earth system models.
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Affiliation(s)
- Feng Tian
- Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden. .,Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark.
| | | | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l'Environnement, CEA/CNRS/UVSQ, Gif-sur-Yvette, France
| | - Jérôme Chave
- UMR 5174 Laboratoire Evolution et Diversité Biologique, Université Paul Sabatier, CNRS, Toulouse, France
| | | | - Josep Peñuelas
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Spain.,CREAF, Cerdanyola del Vallès, Spain
| | - Anders Ræbild
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | | | - Xiaoye Tong
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Martin Brandt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Arnaud Mialon
- CESBIO, Université de Toulouse, CNES/CNRS/IRD/UPS, Toulouse, France
| | | | - Torbern Tagesson
- Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden.,Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | | | - Yann Kerr
- CESBIO, Université de Toulouse, CNES/CNRS/IRD/UPS, Toulouse, France
| | - Chi Chen
- Department of Earth and Environment, Boston University, Boston, MA, USA
| | - Ranga B Myneni
- Department of Earth and Environment, Boston University, Boston, MA, USA
| | - Wenmin Zhang
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Jonas Ardö
- Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
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36
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Brandt M, Rasmussen K, Hiernaux P, Herrmann S, Tucker CJ, Tong X, Tian F, Mertz O, Kergoat L, Mbow C, David J, Melocik K, Dendoncker M, Vincke C, Fensholt R. "Reduction of tree cover in West African woodlands and promotion in semi-arid farmlands". Nat Geosci 2018; 11:328-333. [PMID: 32944066 PMCID: PMC7493051 DOI: 10.1038/s41561-018-0092-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Accepted: 02/28/2018] [Indexed: 05/28/2023]
Abstract
Woody vegetation in farmland acts as a carbon sink and provides ecosystem services for local people, but no macro-scale assessments of the impact of management and climate on woody cover exists for drylands. Here we make use of very high spatial resolution satellite imagery to derive wall-to-wall woody cover patterns in tropical West African drylands. Our study reveals a consistently high woody cover in farmlands along all semi-arid and sub-humid rainfall zones (16%), on average only 6% lower than in savannas. In semi-arid Sahel, farmland management increases woody cover to a greater level (12%) than found in neighbouring savannas (6%), whereas farmlands in sub-humid zones have a reduced woody cover (20%) as compared to savannas (30%). In the region as a whole, rainfall, terrain and soil are the most important (80%) determinants of woody cover, while management factors play a smaller (20%) role. We conclude that agricultural expansion cannot generally be claimed to cause woody cover losses, and that observations in Sahel contradict simplistic ideas of a high negative correlation between population density and woody cover.
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Affiliation(s)
- Martin Brandt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350 Copenhagen, Denmark
| | - Kjeld Rasmussen
- Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350 Copenhagen, Denmark
| | - Pierre Hiernaux
- Geosciences Environnement Toulouse (GET), Observatoire Midi-Pyrénées, UMR 5563 (CNRS/UPS/IRD/CNES), 14 Avenue Edouard Belin, 31400 Toulouse, France
| | - Stefanie Herrmann
- Agricultural and Biosystems Engineering, The University of Arizona, 1177 E. 4th Street, Tucson, AZ 85721, USA
| | - Compton J. Tucker
- NASA Goddard Space Flight Center, Mail Code 610.9, Greenbelt, MD 20771, USA
| | - Xiaoye Tong
- Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350 Copenhagen, Denmark
| | - Feng Tian
- Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350 Copenhagen, Denmark
| | - Ole Mertz
- Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350 Copenhagen, Denmark
| | - Laurent Kergoat
- Geosciences Environnement Toulouse (GET), Observatoire Midi-Pyrénées, UMR 5563 (CNRS/UPS/IRD/CNES), 14 Avenue Edouard Belin, 31400 Toulouse, France
| | - Cheikh Mbow
- START International Inc., 2000 Florida Ave NW, Washington, DC 20009, USA
| | - John David
- NASA Goddard Space Flight Center, Mail Code 610.9, Greenbelt, MD 20771, USA
| | - Katherine Melocik
- NASA Goddard Space Flight Center, Mail Code 610.9, Greenbelt, MD 20771, USA
| | - Morgane Dendoncker
- Université catholique de Louvain, Earth and Life Institute, Environmental Sciences, Croix du Sud 2 L7.05.09, 1348 Louvain-la-Neuve, Belgium
| | - Caroline Vincke
- Université catholique de Louvain, Earth and Life Institute, Environmental Sciences, Croix du Sud 2 L7.05.09, 1348 Louvain-la-Neuve, Belgium
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350 Copenhagen, Denmark
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37
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Brandt M, Wigneron JP, Chave J, Tagesson T, Penuelas J, Ciais P, Rasmussen K, Tian F, Mbow C, Al-Yaari A, Rodriguez-Fernandez N, Schurgers G, Zhang W, Chang J, Kerr Y, Verger A, Tucker C, Mialon A, Rasmussen LV, Fan L, Fensholt R. Satellite passive microwaves reveal recent climate-induced carbon losses in African drylands. Nat Ecol Evol 2018; 2:827-835. [PMID: 29632351 DOI: 10.1038/s41559-018-0530-6] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2017] [Accepted: 03/07/2018] [Indexed: 11/09/2022]
Abstract
The African continent is facing one of the driest periods in the past three decades as well as continued deforestation. These disturbances threaten vegetation carbon (C) stocks and highlight the need for improved capabilities of monitoring large-scale aboveground carbon stock dynamics. Here we use a satellite dataset based on vegetation optical depth derived from low-frequency passive microwaves (L-VOD) to quantify annual aboveground biomass-carbon changes in sub-Saharan Africa between 2010 and 2016. L-VOD is shown not to saturate over densely vegetated areas. The overall net change in drylands (53% of the land area) was -0.05 petagrams of C per year (Pg C yr-1) associated with drying trends, and a net change of -0.02 Pg C yr-1 was observed in humid areas. These trends reflect a high inter-annual variability with a very dry year in 2015 (net change, -0.69 Pg C) with about half of the gross losses occurring in drylands. This study demonstrates, first, the applicability of L-VOD to monitor the dynamics of carbon loss and gain due to weather variations, and second, the importance of the highly dynamic and vulnerable carbon pool of dryland savannahs for the global carbon balance, despite the relatively low carbon stock per unit area.
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Affiliation(s)
- Martin Brandt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark.
| | | | - Jerome Chave
- Laboratoire Evolution and Diversité Biologique, Bâtiment 4R3 Université Paul Sabatier, Toulouse, France
| | - Torbern Tagesson
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Josep Penuelas
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Spain.,CREAF, Cerdanyola del Vallès, Spain
| | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, CE Orme des Merisiers, Gif sur Yvette, France
| | - Kjeld Rasmussen
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Feng Tian
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | | | - Amen Al-Yaari
- ISPA, UMR 1391, INRA Nouvelle-Aquitaine, Bordeaux Villenave d'Ornon, France
| | | | - Guy Schurgers
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Wenmin Zhang
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark.,International Institute for Earth System Sciences, Nanjing University, Nanjing, China
| | - Jinfeng Chang
- Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, CE Orme des Merisiers, Gif sur Yvette, France
| | - Yann Kerr
- CESBIO, Université de Toulouse, CNES/CNRS/IRD/UPS, Toulouse, France
| | - Aleixandre Verger
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Spain.,CREAF, Cerdanyola del Vallès, Spain
| | | | - Arnaud Mialon
- CESBIO, Université de Toulouse, CNES/CNRS/IRD/UPS, Toulouse, France
| | - Laura Vang Rasmussen
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Lei Fan
- ISPA, UMR 1391, INRA Nouvelle-Aquitaine, Bordeaux Villenave d'Ornon, France
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
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Joshi N, Mitchard ETA, Brolly M, Schumacher J, Fernández-Landa A, Johannsen VK, Marchamalo M, Fensholt R. Understanding 'saturation' of radar signals over forests. Sci Rep 2017; 7:3505. [PMID: 28615620 PMCID: PMC5471195 DOI: 10.1038/s41598-017-03469-3] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Accepted: 05/08/2017] [Indexed: 11/08/2022] Open
Abstract
There is an urgent need to quantify anthropogenic influence on forest carbon stocks. Using satellite-based radar imagery for such purposes has been challenged by the apparent loss of signal sensitivity to changes in forest aboveground volume (AGV) above a certain 'saturation' point. The causes of saturation are debated and often inadequately addressed, posing a major limitation to mapping AGV with the latest radar satellites. Using ground- and lidar-measurements across La Rioja province (Spain) and Denmark, we investigate how various properties of forest structure (average stem height, size and number density; proportion of canopy and understory cover) simultaneously influence radar backscatter. It is found that increases in backscatter due to changes in some properties (e.g. increasing stem sizes) are often compensated by equal magnitude decreases caused by other properties (e.g. decreasing stem numbers and increasing heights), contributing to the apparent saturation of the AGV-backscatter trend. Thus, knowledge of the impact of management practices and disturbances on forest structure may allow the use of radar imagery for forest biomass estimates beyond commonly reported saturation points.
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Affiliation(s)
- Neha Joshi
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark.
| | - Edward T A Mitchard
- School of GeoSciences, University of Edinburgh, Edinburgh, EH9 3FF, United Kingdom
| | - Matthew Brolly
- School of Environment and Technology, University of Brighton, Cockcroft Building, Lewes Road, Brighton, BN2 4GJ, UK
| | - Johannes Schumacher
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | | | - Vivian Kvist Johannsen
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Miguel Marchamalo
- Departamento de Ingeniería y Morfología del Terreno, Universidad Politécnica de Madrid, E-28040, Madrid, Spain
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
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Pedersen UB, Karagiannis-Voules DA, Midzi N, Mduluza T, Mukaratirwa S, Fensholt R, Vennervald BJ, Kristensen TK, Vounatsou P, Stensgaard AS. Comparison of the spatial patterns of schistosomiasis in Zimbabwe at two points in time, spaced twenty-nine years apart: is climate variability of importance? Geospat Health 2017; 12:505. [PMID: 28555471 DOI: 10.4081/gh.2017.505] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Revised: 12/14/2016] [Accepted: 12/22/2016] [Indexed: 06/07/2023]
Abstract
Temperature, precipitation and humidity are known to be important factors for the development of schistosome parasites as well as their intermediate snail hosts. Climate therefore plays an important role in determining the geographical distribution of schistosomiasis and it is expected that climate change will alter distribution and transmission patterns. Reliable predictions of distribution changes and likely transmission scenarios are key to efficient schistosomiasis intervention-planning. However, it is often difficult to assess the direction and magnitude of the impact on schistosomiasis induced by climate change, as well as the temporal transferability and predictive accuracy of the models, as prevalence data is often only available from one point in time. We evaluated potential climate-induced changes on the geographical distribution of schistosomiasis in Zimbabwe using prevalence data from two points in time, 29 years apart; to our knowledge, this is the first study investigating this over such a long time period. We applied historical weather data and matched prevalence data of two schistosome species (Schistosoma haematobium and S. mansoni). For each time period studied, a Bayesian geostatistical model was fitted to a range of climatic, environmental and other potential risk factors to identify significant predictors that could help us to obtain spatially explicit schistosomiasis risk estimates for Zimbabwe. The observed general downward trend in schistosomiasis prevalence for Zimbabwe from 1981 and the period preceding a survey and control campaign in 2010 parallels a shift towards a drier and warmer climate. However, a statistically significant relationship between climate change and the change in prevalence could not be established.
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Affiliation(s)
- Ulrik B Pedersen
- Department of Disease Biology, Faculty of Health Sciences and Medical Sciences, University of Copenhagen, Frederiksberg.
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Tian F, Brandt M, Liu YY, Rasmussen K, Fensholt R. Mapping gains and losses in woody vegetation across global tropical drylands. Glob Chang Biol 2017; 23:1748-1760. [PMID: 27515022 DOI: 10.1111/gcb.13464] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2016] [Accepted: 07/13/2016] [Indexed: 05/25/2023]
Abstract
Woody vegetation in global tropical drylands is of significant importance for both the interannual variability of the carbon cycle and local livelihoods. Satellite observations over the past decades provide a unique way to assess the vegetation long-term dynamics across biomes worldwide. Yet, the actual changes in the woody vegetation are always hidden by interannual fluctuations of the leaf density, because the most widely used remote sensing data are primarily related to the photosynthetically active vegetation components. Here, we quantify the temporal trends of the nonphotosynthetic woody components (i.e., stems and branches) in global tropical drylands during 2000-2012 using the vegetation optical depth (VOD), retrieved from passive microwave observations. This is achieved by a novel method focusing on the dry season period to minimize the influence of herbaceous vegetation and using MODerate resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) data to remove the interannual fluctuations of the woody leaf component. We revealed significant trends (P < 0.05) in the woody component (VODwood ) in 35% of the areas characterized by a nonsignificant trend in the leaf component (VODleaf modeled from NDVI), indicating pronounced gradual growth/decline in woody vegetation not captured by traditional assessments. The method is validated using a unique record of ground measurements from the semiarid Sahel and shows a strong agreement between changes in VODwood and changes in ground observed woody cover (r2 = 0.78). Reliability of the obtained woody component trends is also supported by a review of relevant literatures for eight hot spot regions of change. The proposed approach is expected to contribute to an improved assessment of, for example, changes in dryland carbon pools.
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Affiliation(s)
- Feng Tian
- Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350, Copenhagen, Denmark
| | - Martin Brandt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350, Copenhagen, Denmark
| | - Yi Y Liu
- ARC Centre of Excellence for Climate Systems Science & Climate Change Research Centre, University of New South Wales, Sydney, 2052, NSW, Australia
| | - Kjeld Rasmussen
- Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350, Copenhagen, Denmark
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management, University of Copenhagen, 1350, Copenhagen, Denmark
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41
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Horion S, Prishchepov AV, Verbesselt J, de Beurs K, Tagesson T, Fensholt R. Revealing turning points in ecosystem functioning over the Northern Eurasian agricultural frontier. Glob Chang Biol 2016; 22:2801-2817. [PMID: 26929395 DOI: 10.1111/gcb.13267] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2015] [Revised: 12/18/2015] [Accepted: 01/25/2016] [Indexed: 06/05/2023]
Abstract
The collapse of the Soviet Union in 1991 has been a turning point in the World history that left a unique footprint on the Northern Eurasian ecosystems. Conducting large scale mapping of environmental change and separating between naturogenic and anthropogenic drivers is a difficult endeavor in such highly complex systems. In this research a piece-wise linear regression method was used for breakpoint detection in Rain-Use Efficiency (RUE) time series and a classification of ecosystem response types was produced. Supported by earth observation data, field data, and expert knowledge, this study provides empirical evidence regarding the occurrence of drastic changes in RUE (assessment of the timing, the direction and the significance of these changes) in Northern Eurasian ecosystems between 1982 and 2011. About 36% of the study area (3.4 million km(2) ) showed significant (P < 0.05) trends and/or turning points in RUE during the observation period. A large proportion of detected turning points in RUE occurred around the fall of the Soviet Union in 1991 and in the following years which were attributed to widespread agricultural land abandonment. Our study also showed that recurrent droughts deeply affected vegetation productivity throughout the observation period, with a general worsening of the drought conditions in recent years. Moreover, recent human-induced turning points in ecosystem functioning were detected and attributed to ongoing recultivation and change in irrigation practices in the Volgograd region, and to increased salinization and increased grazing intensity around Lake Balkhash. The ecosystem-state assessment method introduced here proved to be a valuable support that highlighted hotspots of potentially altered ecosystems and allowed for disentangling human from climatic disturbances.
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Affiliation(s)
- Stéphanie Horion
- Department of Geosciences and Natural Resource Management (IGN), University of Copenhagen, Øster Voldgade 10, Copenhagen K, 1350, Denmark
| | - Alexander V Prishchepov
- Department of Geosciences and Natural Resource Management (IGN), University of Copenhagen, Øster Voldgade 10, Copenhagen K, 1350, Denmark
- Leibniz Institute of Agricultural Development in Transition Economies (IAMO), Theodor-Lieser-Str. 2, 06120, Halle (Saale), Germany
- Institute of Steppe of the Ural Branch of the Russian Academy of Science (RAS), Pionerskaya str. 11, 460000, Orenburg, Russia
| | - Jan Verbesselt
- Laboratory of Geo-Information Science and Remote Sensing, Wageningen University, Droevendaalsesteeg 3, Wageningen, 6708 PB, The Netherlands
| | - Kirsten de Beurs
- Department of Geography and Environmental Sustainability, University of Oklahoma, 100 East Boyd St., Norman, OK, USA
| | - Torbern Tagesson
- Department of Geosciences and Natural Resource Management (IGN), University of Copenhagen, Øster Voldgade 10, Copenhagen K, 1350, Denmark
| | - Rasmus Fensholt
- Department of Geosciences and Natural Resource Management (IGN), University of Copenhagen, Øster Voldgade 10, Copenhagen K, 1350, Denmark
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Sambou A, Theilade I, Fensholt R, Ræbild A. Decline of woody vegetation in a saline landscape in the Groundnut Basin, Senegal. Reg Environ Change 2016; 16:1765-1777. [DOI: 10.1007/s10113-016-0929-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/23/2023]
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Schut AGT, Ivits E, Conijn JG, ten Brink B, Fensholt R. Trends in Global Vegetation Activity and Climatic Drivers Indicate a Decoupled Response to Climate Change. PLoS One 2015; 10:e0138013. [PMID: 26466347 PMCID: PMC4605512 DOI: 10.1371/journal.pone.0138013] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2015] [Accepted: 08/24/2015] [Indexed: 11/20/2022] Open
Abstract
Detailed understanding of a possible decoupling between climatic drivers of plant productivity and the response of ecosystems vegetation is required. We compared trends in six NDVI metrics (1982–2010) derived from the GIMMS3g dataset with modelled biomass productivity and assessed uncertainty in trend estimates. Annual total biomass weight (TBW) was calculated with the LINPAC model. Trends were determined using a simple linear regression, a Thiel-Sen medium slope and a piecewise regression (PWR) with two segments. Values of NDVI metrics were related to Net Primary Production (MODIS-NPP) and TBW per biome and land-use type. The simple linear and Thiel-Sen trends did not differ much whereas PWR increased the fraction of explained variation, depending on the NDVI metric considered. A positive trend in TBW indicating more favorable climatic conditions was found for 24% of pixels on land, and for 5% a negative trend. A decoupled trend, indicating positive TBW trends and monotonic negative or segmented and negative NDVI trends, was observed for 17–36% of all productive areas depending on the NDVI metric used. For only 1–2% of all pixels in productive areas, a diverging and greening trend was found despite a strong negative trend in TBW. The choice of NDVI metric used strongly affected outcomes on regional scales and differences in the fraction of explained variation in MODIS-NPP between biomes were large, and a combination of NDVI metrics is recommended for global studies. We have found an increasing difference between trends in climatic drivers and observed NDVI for large parts of the globe. Our findings suggest that future scenarios must consider impacts of constraints on plant growth such as extremes in weather and nutrient availability to predict changes in NPP and CO2 sequestration capacity.
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Affiliation(s)
- Antonius G. T. Schut
- Plant Production Systems Group, Wageningen University, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands
- PBL Assessment Agency for the Environment, Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, The Netherlands
- * E-mail:
| | - Eva Ivits
- Joint Research Centre, Via Enrico Fermi 2749, I - 21027 Ispra, Italy
| | - Jacob G. Conijn
- Plant Research International, Wageningen UR, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands
| | - Ben ten Brink
- PBL Assessment Agency for the Environment, Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, The Netherlands
| | - Rasmus Fensholt
- Section of Geography, Department of Geosciences and Natural Resource Management, Faculty of Science, University of Copenhagen, Oster Voldgade 10, 1350 Copenhagen, Denmark
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Ankersen J, Grogan K, Mertz O, Fensholt R, Castella JC, Lestrelin G, Nguyen DT, Danielsen F, Brofeldt S, Rasmussen K. Vietnam's forest transition in retrospect: demonstrating weaknesses in business-as-usual scenarios for REDD. Environ Manage 2015; 55:1080-1092. [PMID: 25588807 DOI: 10.1007/s00267-015-0443-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2013] [Accepted: 01/02/2015] [Indexed: 06/04/2023]
Abstract
One of the prerequisites of the REDD+ mechanism is to effectively predict business-as-usual (BAU) scenarios for change in forest cover. This would enable estimation of how much carbon emission a project could potentially prevent and thus how much carbon credit should be rewarded. However, different factors like forest degradation and the lack of linearity in forest cover transitions challenge the accuracy of such scenarios. Here we predict and validate such BAU scenarios retrospectively based on forest cover changes at village and district level in North Central Vietnam. With the government's efforts to increase the forest cover, land use policies led to gradual abandonment of shifting cultivation since the 1990s. We analyzed Landsat images from 1973, 1989, 1998, 2000, and 2011 and found that the policies in the areas studied did lead to increased forest cover after a long period of decline, but that this increase could mainly be attributed to an increase in open forest and shrub areas. We compared Landsat classifications with participatory maps of land cover/use in 1998 and 2012 that indicated more forest degradation than was captured by the Landsat analysis. The BAU scenarios were heavily dependent on which years were chosen for the reference period. This suggests that hypothetical REDD+ activities in the past, when based on the remote sensing data available at that time, would have been unable to correctly estimate changes in carbon stocks and thus produce relevant BAU scenarios.
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Affiliation(s)
- Jeppe Ankersen
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Øster Voldgade 10, 1350, Copenhagen K, Denmark
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Brandt M, Mbow C, Diouf AA, Verger A, Samimi C, Fensholt R. Ground- and satellite-based evidence of the biophysical mechanisms behind the greening Sahel. Glob Chang Biol 2015; 21:1610-1620. [PMID: 25400243 DOI: 10.1111/gcb.12807] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2014] [Revised: 11/05/2014] [Accepted: 11/08/2014] [Indexed: 06/04/2023]
Abstract
After a dry period with prolonged droughts in the 1970s and 1980s, recent scientific outcome suggests that the decades of abnormally dry conditions in the Sahel have been reversed by positive anomalies in rainfall. Various remote sensing studies observed a positive trend in vegetation greenness over the last decades which is known as the re-greening of the Sahel. However, little investment has been made in including long-term ground-based data collections to evaluate and better understand the biophysical mechanisms behind these findings. Thus, deductions on a possible increment in biomass remain speculative. Our aim is to bridge these gaps and give specifics on the biophysical background factors of the re-greening Sahel. Therefore, a trend analysis was applied on long time series (1987-2013) of satellite-based vegetation and rainfall data, as well as on ground-observations of leaf biomass of woody species, herb biomass, and woody species abundance in different ecosystems located in the Sahel zone of Senegal. We found that the positive trend observed in satellite vegetation time series (+36%) is caused by an increment of in situ measured biomass (+34%), which is highly controlled by precipitation (+40%). Whereas herb biomass shows large inter-annual fluctuations rather than a clear trend, leaf biomass of woody species has doubled within 27 years (+103%). This increase in woody biomass did not reflect on biodiversity with 11 of 16 woody species declining in abundance over the period. We conclude that the observed greening in the Senegalese Sahel is primarily related to an increasing tree cover that caused satellite-driven vegetation indices to increase with rainfall reversal.
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Affiliation(s)
- Martin Brandt
- Institute of Geography, University of Bayreuth, 95440, Bayreuth, Germany
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Tagesson T, Fensholt R, Guiro I, Rasmussen MO, Huber S, Mbow C, Garcia M, Horion S, Sandholt I, Holm-Rasmussen B, Göttsche FM, Ridler ME, Olén N, Lundegard Olsen J, Ehammer A, Madsen M, Olesen FS, Ardö J. Ecosystem properties of semiarid savanna grassland in West Africa and its relationship with environmental variability. Glob Chang Biol 2015; 21:250-64. [PMID: 25204271 DOI: 10.1111/gcb.12734] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2014] [Revised: 08/12/2014] [Accepted: 08/14/2014] [Indexed: 05/27/2023]
Abstract
The Dahra field site in Senegal, West Africa, was established in 2002 to monitor ecosystem properties of semiarid savanna grassland and their responses to climatic and environmental change. This article describes the environment and the ecosystem properties of the site using a unique set of in situ data. The studied variables include hydroclimatic variables, species composition, albedo, normalized difference vegetation index (NDVI), hyperspectral characteristics (350-1800 nm), surface reflectance anisotropy, brightness temperature, fraction of absorbed photosynthetic active radiation (FAPAR), biomass, vegetation water content, and land-atmosphere exchanges of carbon (NEE) and energy. The Dahra field site experiences a typical Sahelian climate and is covered by coexisting trees (~3% canopy cover) and grass species, characterizing large parts of the Sahel. This makes the site suitable for investigating relationships between ecosystem properties and hydroclimatic variables for semiarid savanna ecosystems of the region. There were strong interannual, seasonal and diurnal dynamics in NEE, with high values of ~-7.5 g C m(-2) day(-1) during the peak of the growing season. We found neither browning nor greening NDVI trends from 2002 to 2012. Interannual variation in species composition was strongly related to rainfall distribution. NDVI and FAPAR were strongly related to species composition, especially for years dominated by the species Zornia glochidiata. This influence was not observed in interannual variation in biomass and vegetation productivity, thus challenging dryland productivity models based on remote sensing. Surface reflectance anisotropy (350-1800 nm) at the peak of the growing season varied strongly depending on wavelength and viewing angle thereby having implications for the design of remotely sensed spectral vegetation indices covering different wavelength regions. The presented time series of in situ data have great potential for dryland dynamics studies, global climate change related research and evaluation and parameterization of remote sensing products and dynamic vegetation models.
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Affiliation(s)
- Torbern Tagesson
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Øster Voldgade 10, Copenhagen, DK-1350, Denmark
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Ivits E, Horion S, Fensholt R, Cherlet M. Drought footprint on European ecosystems between 1999 and 2010 assessed by remotely sensed vegetation phenology and productivity. Glob Chang Biol 2014; 20:581-593. [PMID: 24105971 DOI: 10.1111/gcb.12393] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2012] [Accepted: 08/31/2013] [Indexed: 06/02/2023]
Abstract
Drought affects more people than any other natural disaster but there is little understanding of how ecosystems react to droughts. This study jointly analyzed spatio-temporal changes of drought patterns with vegetation phenology and productivity changes between 1999 and 2010 in major European bioclimatic zones. The Standardized Precipitation and Evapotranspiration Index (SPEI) was used as drought indicator whereas changes in growing season length and vegetation productivity were assessed using remote sensing time-series of Normalized Difference Vegetation Index (NDVI). Drought spatio-temporal variability was analyzed using a Principal Component Analysis, leading to the identification of four major drought events between 1999 and 2010 in Europe. Correspondence Analysis showed that at the continental scale the productivity and phenology reacted differently to the identified drought events depending on ecosystem and land cover. Northern and Mediterranean ecosystems proved to be more resilient to droughts in terms of vegetation phenology and productivity developments. Western Atlantic regions and Eastern Europe showed strong agglomerations of decreased productivity and shorter vegetation growing season length, indicating that these ecosystems did not buffer the effects of drought well. In a climate change perspective, increase in drought frequency or intensity may result in larger impacts over these ecosystems, thus management and adaptation strategies should be strengthened in these areas of concerns.
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Proud SR, Fensholt R, Rasmussen MO, Sandholt I. A comparison of the effectiveness of 6S and SMAC in correcting for atmospheric interference of Meteosat Second Generation images. ACTA ACUST UNITED AC 2010. [DOI: 10.1029/2009jd013693] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Gobron N, Pinty B, Aussedat O, Chen JM, Cohen WB, Fensholt R, Gond V, Huemmrich KF, Lavergne T, Mélin F, Privette JL, Sandholt I, Taberner M, Turner DP, Verstraete MM, Widlowski JL. Evaluation of fraction of absorbed photosynthetically active radiation products for different canopy radiation transfer regimes: Methodology and results using Joint Research Center products derived from SeaWiFS against ground-based estimations. ACTA ACUST UNITED AC 2006. [DOI: 10.1029/2005jd006511] [Citation(s) in RCA: 132] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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