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Bai W, Wang H, Lin S. Magnitude and direction of green-up date in response to drought depend on background climate over Mongolian grassland. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 902:166051. [PMID: 37543330 DOI: 10.1016/j.scitotenv.2023.166051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 08/02/2023] [Accepted: 08/02/2023] [Indexed: 08/07/2023]
Abstract
Increasing drought is one major consequence of ongoing global climate change and is expected to cause significant changes in vegetation phenology, especially for naturally vulnerable ecosystems such as grassland. However, the linkage between the response characteristic of green-up date (GUD) to drought and background climate remains largely unknown. Here, we focused on how the GUD of Mongolian grassland responds to extreme drought events (EDE). We first extracted the GUD from the MODIS Enhanced Vegetation Index data during 2001-2020 and identified the preseason EDE using the standardized precipitation evapotranspiration index data. Subsequently, we quantified the response of GUD to preseason EDE (DGUD) in each pixel as the difference in GUD between drought and normal years. The effect of 12 factors on DGUD was analyzed using the random forest algorithm. The results showed that the GUD under EDE may delay or advance by > 20 days compared to normal years. For the regions with mean annual temperature > -2 °C, the GUD was delayed under EDE due to the dominant role of water restriction on GUD, while the GUD was advanced under EDE in colder areas due to the warmer temperature during drought. However, the magnitude of delay in GUD under drought was greater in regions with less precipitation and more severe droughts. Our results could help to develop appropriate management strategies to mitigate the impacts of drought on grasslands.
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Affiliation(s)
- Wenrui Bai
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China; University of Chinese Academy of Sciences, 19A, Yuquan Road, Shijingshan District, Beijing 100049, China
| | - Huanjiong Wang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China.
| | - Shaozhi Lin
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China; University of Chinese Academy of Sciences, 19A, Yuquan Road, Shijingshan District, Beijing 100049, China
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Zheng J, Zhang F, Zhang B, Chen D, Li S, Zhao T, Wang Q, Han G, Zhao M. Biodiversity and soil pH regulate the recovery of ecosystem multifunctionality during secondary succession of abandoned croplands in northern China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 327:116882. [PMID: 36455443 DOI: 10.1016/j.jenvman.2022.116882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 11/22/2022] [Accepted: 11/24/2022] [Indexed: 06/17/2023]
Abstract
The 'Grain-for-Green' program in China provides a valuable opportunity to investigate whether spontaneous restoration can reverse the deterioration of grassland ecosystem functions. Previous studies have focused on individual ecosystem functions, but the response of and mechanisms driving variation in ecosystem multifunctionality (EMF) during restoration are poorly understood. Here, we quantified EMF using productivity, nutrient cycling, and water regulation functions along abandoned croplands in a recovery chronosequence (5, 15 and 20 years) and in natural grasslands in the desert steppe and typical steppe. We also analyzed the effects of plant and microbial diversity and an abiotic factor (soil pH) on EMF. Our results showed that EMF increased gradually concomitant with recovery time, shifting toward EMF values comparable to those in natural grasslands in both desert and typical steppe. Similar results were found for the productivity function, the water regulation function, and soil organic carbon. However, even after 20 years of restoration, EMF did not reach the levels observed in natural grasslands. Structural equation modeling showed that the driving mechanisms of EMF differed between the two steppe types. Specifically, in the desert steppe, plant diversity, especially the diversity of perennial graminoids and perennial herbs, had a positive effect on EMF, but in the typical steppe, soil bacterial diversity had a negative effect, while soil pH had a positive effect on EMF. Our results demonstrated that spontaneous grassland restoration effectively enhanced EMF, and emphasized the importance of biodiversity and soil pH in regulating EMF during secondary succession. This work provides important insights for grassland ecosystem management in arid and semi-arid regions.
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Affiliation(s)
- Jiahua Zheng
- Key Laboratory of Grassland Resources of the Ministry of Education, Key Laboratory of Forage Cultivation, Processing and High Efficient Utilization of the Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Grassland Management and Utilization, College of Grassland, Resources and Environment, Inner Mongolia Agricultural University, Hohhot, 010011, China
| | - Feng Zhang
- Key Laboratory of Grassland Resources of the Ministry of Education, Key Laboratory of Forage Cultivation, Processing and High Efficient Utilization of the Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Grassland Management and Utilization, College of Grassland, Resources and Environment, Inner Mongolia Agricultural University, Hohhot, 010011, China
| | - Bin Zhang
- Key Laboratory of Grassland Resources of the Ministry of Education, Key Laboratory of Forage Cultivation, Processing and High Efficient Utilization of the Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Grassland Management and Utilization, College of Grassland, Resources and Environment, Inner Mongolia Agricultural University, Hohhot, 010011, China.
| | - Daling Chen
- Key Laboratory of Grassland Resources of the Ministry of Education, Key Laboratory of Forage Cultivation, Processing and High Efficient Utilization of the Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Grassland Management and Utilization, College of Grassland, Resources and Environment, Inner Mongolia Agricultural University, Hohhot, 010011, China
| | - Shaoyu Li
- Key Laboratory of Grassland Resources of the Ministry of Education, Key Laboratory of Forage Cultivation, Processing and High Efficient Utilization of the Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Grassland Management and Utilization, College of Grassland, Resources and Environment, Inner Mongolia Agricultural University, Hohhot, 010011, China
| | - Tianqi Zhao
- Yinshanbeilu Grassland Eco-hydrology National Observation and Research Station, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China; Institute of Water Resources for Pastoral Area Ministry of Water Resources, Hohhot, Inner Mongolia, 010120, China
| | - Qi Wang
- Key Laboratory of Grassland Resources of the Ministry of Education, Key Laboratory of Forage Cultivation, Processing and High Efficient Utilization of the Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Grassland Management and Utilization, College of Grassland, Resources and Environment, Inner Mongolia Agricultural University, Hohhot, 010011, China
| | - Guodong Han
- Key Laboratory of Grassland Resources of the Ministry of Education, Key Laboratory of Forage Cultivation, Processing and High Efficient Utilization of the Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Grassland Management and Utilization, College of Grassland, Resources and Environment, Inner Mongolia Agricultural University, Hohhot, 010011, China
| | - Mengli Zhao
- Key Laboratory of Grassland Resources of the Ministry of Education, Key Laboratory of Forage Cultivation, Processing and High Efficient Utilization of the Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Grassland Management and Utilization, College of Grassland, Resources and Environment, Inner Mongolia Agricultural University, Hohhot, 010011, China.
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Multi-year monitoring land surface phenology in relation to climatic variables using MODIS-NDVI time-series in Mediterranean forest, Northeast Tunisia. ACTA OECOLOGICA 2022. [DOI: 10.1016/j.actao.2021.103804] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Remote Sensing in Studies of the Growing Season: A Bibliometric Analysis. REMOTE SENSING 2022. [DOI: 10.3390/rs14061331] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Analyses of climate change based on point observations indicate an extension of the plant growing season, which may have an impact on plant production and functioning of natural ecosystems. Analyses involving remote sensing methods, which have added more detail to results obtained in the traditional way, have been carried out only since the 1980s. The paper presents the results of a bibliometric analysis of papers related to the growing season published from 2000–2021 included in the Web of Science database. Through filtering, 285 publications were selected and subjected to statistical processing and analysis of their content. This resulted in the identification of author teams that mostly focused their research on vegetation growth and in the selection of the most common keywords describing the beginning, end, and duration of the growing season. It was found that most studies on the growing season were reported from Asia, Europe, and North America (i.e., 32%, 28%, and 28%, respectively). The analyzed articles show the advantage of satellite data over low-altitude and ground-based data in providing information on plant vegetation. Over three quarters of the analyzed publications focused on natural plant communities. In the case of crops, wheat and rice were the most frequently studied plants (i.e., they were analyzed in over 30% and over 20% of publications, respectively).
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Li X, Guo W, Li S, Zhang J, Ni X. The different impacts of the daytime and nighttime land surface temperatures on the alpine grassland phenology. Ecosphere 2021. [DOI: 10.1002/ecs2.3578] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Affiliation(s)
- Xiaoting Li
- Department of Earth and Environmental Sciences Xi’an Jiaotong University Xi’an China
| | - Wei Guo
- Department of Earth and Environmental Sciences Xi’an Jiaotong University Xi’an China
| | - Shuheng Li
- Department of Geography Northwest University Xi’an China
| | - Junzhe Zhang
- Department of Geography University of California Los Angeles California USA
| | - Xiangnan Ni
- Department of Earth and Environmental Sciences Xi’an Jiaotong University Xi’an China
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郭 丽. The Effects of Pre-Season Rainfall on the Phenology of Plants in the Rejuvenated Period. INTERNATIONAL JOURNAL OF ECOLOGY 2020. [DOI: 10.12677/ije.2020.91004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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González-Naharro R, Quirós E, Fernández-Rodríguez S, Silva-Palacios I, Maya-Manzano JM, Tormo-Molina R, Pecero-Casimiro R, Monroy-Colin A, Gonzalo-Garijo Á. Relationship of NDVI and oak (Quercus) pollen including a predictive model in the SW Mediterranean region. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 676:407-419. [PMID: 31048171 DOI: 10.1016/j.scitotenv.2019.04.213] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Revised: 03/26/2019] [Accepted: 04/13/2019] [Indexed: 06/09/2023]
Abstract
Techniques of remote sensing are being used to develop phenological studies. Our goal is to study the correlation among the Normalized Difference Vegetation Index (NDVI) related with oak trees included in three set data polygons (15, 25 and 50 km to aerobiological sampling point as NDVI-15, 25 and 50), and oak (Quercus) daily average pollen counts from 1994 to 2013. The study was developed in the SW Mediterranean region with continuous pollen recording within the mean pollen season of each studied year. These pollen concentrations were compared with NDVI values in the locations containing the vegetation under a study based on two cartographic sources: the Extremadura Forest Map (MFEx) of Spain and the Fifth National Forest Inventory (IFN5) from Portugal. The importance of this work is to propose the relationship among data related in space and time by Spearman and Granger causality tests. 9 out of 20 studied years have shown significant results with the Granger causality test between NDVI and pollen concentration, and in 12 years, significant values were obtained by Spearman test. The distances of influence on the contribution of Quercus pollen to the sampler showed statistically significant results depending on the year. Moreover, a predictive model by using Artificial Neural Network (ANN) was applied with better results in NDVI25 than for NDVI15 or NDVI50. The addition of NDVI25 with the lag of 5 days and some weather parameters in the model was applied with a RMSE of 4.26 (Spearman coefficient r = 0.77) between observed and predicted values. Based on these results, NDVI seems to be a useful parameter to predict airborne pollen.
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Affiliation(s)
- Rocío González-Naharro
- Department of Graphic Expression, School of Technology, University of Extremadura, Avda. de la Universidad s/n, Cáceres, Spain
| | - Elia Quirós
- Department of Graphic Expression, School of Technology, University of Extremadura, Avda. de la Universidad s/n, Cáceres, Spain
| | - Santiago Fernández-Rodríguez
- Department of Construction, School of Technology, University of Extremadura, Avda. de la Universidad s/n, Cáceres, Spain.
| | - Inmaculada Silva-Palacios
- Department of Applied Physics, Engineering Agricultural School, University of Extremadura, Avda. Adolfo Suárez s/n, Badajoz, Spain
| | - José María Maya-Manzano
- School of Chemical and Pharmaceutical Sciences, Technological University Dublin, Kevin Street, Dublin, Ireland
| | - Rafael Tormo-Molina
- Department of Plant Biology, Ecology and Earth Sciences, Faculty of Science, University of Extremadura, Avda. Elvas s/n, Badajoz, Spain
| | - Raúl Pecero-Casimiro
- Department of Plant Biology, Ecology and Earth Sciences, Faculty of Science, University of Extremadura, Avda. Elvas s/n, Badajoz, Spain
| | - Alejandro Monroy-Colin
- Department of Plant Biology, Ecology and Earth Sciences, Faculty of Science, University of Extremadura, Avda. Elvas s/n, Badajoz, Spain
| | - Ángela Gonzalo-Garijo
- Department of Allergology, University Hospital of Badajoz, Avda. Elvas s/n, Badajoz, Spain
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Wang H, Tetzlaff D, Buttle J, Carey SK, Laudon H, McNamara JP, Spence C, Soulsby C. Climate-phenology-hydrology interactions in northern high latitudes: Assessing the value of remote sensing data in catchment ecohydrological studies. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 656:19-28. [PMID: 30502731 DOI: 10.1016/j.scitotenv.2018.11.361] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2018] [Revised: 11/23/2018] [Accepted: 11/24/2018] [Indexed: 06/09/2023]
Abstract
We assessed the hydrological implications of climate effects on vegetation phenology in northern environments by fusion of data from remote-sensing and local catchment monitoring. Studies using satellite data have shown earlier and later dates for the start (SOS) and end of growing seasons (EOS), respectively, in the Northern Hemisphere over the last 3 decades. However, estimates of the change greatly depend on the satellite data utilized. Validation with experimental data on climate-vegetation-hydrology interactions requires long-term observations of multiple variables which are rare and usually restricted to small catchments. In this study, we used two NDVI (normalized difference vegetation index) products (at ~25 & 0.5 km spatial resolutions) to infer SOS and EOS for six northern catchments, and then investigated the likely climate impacts on phenology change and consequent effects on catchment water yield, using both assimilated data (GLDAS: global land data assimilation system) and direct catchment observations. The major findings are: (1) The assimilated air temperature compared well with catchment observations (regression slopes and R2 close to 1), whereas underestimations of summer rainstorms resulted in overall underestimations of precipitation (regression slopes of 0.3-0.7, R2 ≥ 0.46). (2) The two NDVI products inferred different vegetation phenology characteristics. (3) Increased mean pre-season temperature significantly influenced the advance of SOS and delay of EOS. The precipitation influence was weaker, but delayed SOS corresponding to increased pre-season precipitation at most sites can be related to later snow melting. (4) Decreased catchment streamflow over the last 15 years could be related to the advance in SOS and extension of growing seasons. Greater streamflow reductions in the cold sites than the warm ones imply stronger climate warming impacts on vegetation and hydrology in colder northerly environments. The methods used in this study have potential for better understanding interactions between vegetation, climate and hydrology in observation-scarce regions.
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Affiliation(s)
- Hailong Wang
- Northern Rivers Institute, School of Geosciences, University of Aberdeen, Scotland AB243UF, UK.
| | - Doerthe Tetzlaff
- Northern Rivers Institute, School of Geosciences, University of Aberdeen, Scotland AB243UF, UK; IGB Leibniz Institute of Freshwater Ecology and Inland Fisheries, Germany; Department of Geography, Humboldt University Berlin, Germany
| | - James Buttle
- Department of Geography, Trent University, 1600 West Bank Drive, Peterborough, ON K9J 7B8, Canada
| | - Sean K Carey
- School of Geography and Earth Sciences, McMaster University, 1280 Main St. W, Hamilton, Ontario L8S 4 K1, Canada
| | - Hjalmar Laudon
- Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå SE-90183, Sweden
| | - James P McNamara
- Department of Geosciences, Boise State University, 1910 University Drive, Boise, ID 83725-1535, USA
| | - Christopher Spence
- National Hydrology Research Centre, Environment Canada, 11 Innovation Blvd., Saskatoon, Saskatchewan S7N 3H5, Canada
| | - Chris Soulsby
- Northern Rivers Institute, School of Geosciences, University of Aberdeen, Scotland AB243UF, UK; IGB Leibniz Institute of Freshwater Ecology and Inland Fisheries, Germany
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Lara B, Gandini M, Gantes P, Matteucci SD. Regional patterns of ecosystem functional diversity in the Argentina Pampas using MODIS time-series. ECOL INFORM 2018. [DOI: 10.1016/j.ecoinf.2017.11.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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10
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Diverse Responses of Vegetation Phenology to Climate Change in Different Grasslands in Inner Mongolia during 2000–2016. REMOTE SENSING 2017. [DOI: 10.3390/rs10010017] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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Donnelly A, Yu R. The rise of phenology with climate change: an evaluation of IJB publications. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2017; 61:29-50. [PMID: 28527153 DOI: 10.1007/s00484-017-1371-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2017] [Revised: 04/26/2017] [Accepted: 04/28/2017] [Indexed: 05/28/2023]
Abstract
In recent decades, phenology has become an important tool by which to measure both the impact of climate change on ecosystems and the feedback of ecosystems to the climate system. However, there has been little attempt to date to systematically quantify the increase in the number of scientific publications with a focus on phenology and climate change. In order to partially address this issue, we examined the number of articles (original papers, reviews and short communications) containing the terms 'phenology' and 'climate change' in the title, abstract or keywords, published in the International Journal of Biometeorology in the 60 years since its inception in 1957. We manually inspected all issues prior to 1987 for the search terms and subsequently used the search facility on the Web of Science online database. The overall number of articles published per decade remained relatively constant (255-378) but rose rapidly to 1053 in the most recent decade (2007-2016), accompanied by an increase (41-172) in the number of articles containing the search terms. A number of factors may have contributed to this rise, including the recognition of the value of phenology as an indicator of climate change and the initiation in 2010 of a series of conferences focusing on phenology which subsequently led to two special issues of the journal. The word 'phenology' was in use from the first issue, whereas 'climate change' only emerged in 1987 and peaked in 2014. New technologies such as satellite remote sensing and the internet led to an expansion of and greater access to a growing reservoir of phenological information. The application of phenological data included determining the impact of warming of phenophases, predicting wine quality and the pollen season, demonstrating the potential for mismatch to occur and both reconstructing and forecasting climate. Even though this analysis was limited to one journal, it is likely to be indicative of a similar trend across other scientific publications.
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Affiliation(s)
- Alison Donnelly
- Department of Geography, University of Wisconsin-Milwaukee, Milwaukee, WI, 53201, USA.
| | - Rong Yu
- School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, 68583, USA
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A Comparative Study of Cross-Product NDVI Dynamics in the Kilimanjaro Region—A Matter of Sensor, Degradation Calibration, and Significance. REMOTE SENSING 2016. [DOI: 10.3390/rs8020159] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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