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Feng S, Luo J, Li M, Hu Y, Cao M. Exploring soil nitrogen and sulfur dynamics: implications for greenhouse gas emissions on the Qinghai-Tibet Plateau. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:406. [PMID: 39212763 DOI: 10.1007/s10653-024-02184-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 08/17/2024] [Indexed: 09/04/2024]
Abstract
The Qinghai-Tibet Plateau is particularly vulnerable to the effects of climate change and disturbances caused by human activity. To better understand the interactions between soil nitrogen and sulfur cycles and human activities on the plateau, the distribution characteristics of soil nitrogen and sulfur density and their influencing factors for three soil layers in Machin County at depths of 0-20 cm, 0-100 cm, and 0-180 cm are discussed in this paper. The results indicated that at depths of 0-180 cm, soil nitrogen density in Machin County varied between 1.36 and 16.85 kg/m2, while sulfur density ranged from 0.37 to 4.61 kg/m2. The effects of three factors-geological background, land use status, and soil type-on soil nitrogen and sulfur density were all highly significant (p < 0.01). Specifically, natural factors such as soil type and geological background, along with anthropogenic factors including land use practices and grazing intensity, were identified as decisive in causing spatial variations in soil nitrogen and sulfur density. Machin County on the Tibetan Plateau exhibits natural nitrogen and sulfur sinks; However, it is crucial to monitor the emissions of N2O and SO2 into the atmosphere from areas with high external nitrogen and sulfur inputs and low fertility retention capacities, such as bare land. On this basis, changes in the spatial and temporal scales of the nitrogen and sulfur cycles in soils and their source-sink relationships remain the focus of future research.
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Affiliation(s)
- Siyao Feng
- College of Resources and Environment, Yangtze University, Wuhan, 430100, China.
| | - Jie Luo
- College of Resources and Environment, Yangtze University, Wuhan, 430100, China.
| | - Mingpo Li
- The South of Zhejiang Comprehensive Engineering Survey and Mapping Institute Co., Ltd, Zhejiang, China
| | - Yuwei Hu
- College of Resources and Environment, Yangtze University, Wuhan, 430100, China
| | - Min Cao
- University of Leicester, University Road, Leicester, LE1 7RH, UK
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2
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You Y, Tian H, Pan S, Shi H, Lu C, Batchelor WD, Cheng B, Hui D, Kicklighter D, Liang XZ, Li X, Melillo J, Pan N, Prior SA, Reilly J. Net greenhouse gas balance in U.S. croplands: How can soils be part of the climate solution? GLOBAL CHANGE BIOLOGY 2024; 30:e17109. [PMID: 38273550 DOI: 10.1111/gcb.17109] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 11/22/2023] [Accepted: 12/01/2023] [Indexed: 01/27/2024]
Abstract
Agricultural soils play a dual role in regulating the Earth's climate by releasing or sequestering carbon dioxide (CO2 ) in soil organic carbon (SOC) and emitting non-CO2 greenhouse gases (GHGs) such as nitrous oxide (N2 O) and methane (CH4 ). To understand how agricultural soils can play a role in climate solutions requires a comprehensive assessment of net soil GHG balance (i.e., sum of SOC-sequestered CO2 and non-CO2 GHG emissions) and the underlying controls. Herein, we used a model-data integration approach to understand and quantify how natural and anthropogenic factors have affected the magnitude and spatiotemporal variations of the net soil GHG balance in U.S. croplands during 1960-2018. Specifically, we used the dynamic land ecosystem model for regional simulations and used field observations of SOC sequestration rates and N2 O and CH4 emissions to calibrate, validate, and corroborate model simulations. Results show that U.S. agricultural soils sequestered13.2 ± 1.16 $$ 13.2\pm 1.16 $$ Tg CO2 -C year-1 in SOC (at a depth of 3.5 m) during 1960-2018 and emitted0.39 ± 0.02 $$ 0.39\pm 0.02 $$ Tg N2 O-N year-1 and0.21 ± 0.01 $$ 0.21\pm 0.01 $$ Tg CH4 -C year-1 , respectively. Based on the GWP100 metric (global warming potential on a 100-year time horizon), the estimated national net GHG emission rate from agricultural soils was122.3 ± 11.46 $$ 122.3\pm 11.46 $$ Tg CO2 -eq year-1 , with the largest contribution from N2 O emissions. The sequestered SOC offset ~28% of the climate-warming effects resulting from non-CO2 GHG emissions, and this offsetting effect increased over time. Increased nitrogen fertilizer use was the dominant factor contributing to the increase in net GHG emissions during 1960-2018, explaining ~47% of total changes. In contrast, reduced cropland area, the adoption of agricultural conservation practices (e.g., reduced tillage), and rising atmospheric CO2 levels attenuated net GHG emissions from U.S. croplands. Improving management practices to mitigate N2 O emissions represents the biggest opportunity for achieving net-zero emissions in U.S. croplands. Our study highlights the importance of concurrently quantifying SOC-sequestered CO2 and non-CO2 GHG emissions for developing effective agricultural climate change mitigation measures.
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Affiliation(s)
- Yongfa You
- Center for Earth System Science and Global Sustainability (CES3), Schiller Institute for Integrated Science and Society, Boston College, Chestnut Hill, Massachusetts, USA
- Department of Earth and Environmental Sciences, Boston College, Chestnut Hill, Massachusetts, USA
- College of Forestry, Wildlife and Environment, Auburn University, Auburn, Alabama, USA
| | - Hanqin Tian
- Center for Earth System Science and Global Sustainability (CES3), Schiller Institute for Integrated Science and Society, Boston College, Chestnut Hill, Massachusetts, USA
- Department of Earth and Environmental Sciences, Boston College, Chestnut Hill, Massachusetts, USA
| | - Shufen Pan
- Center for Earth System Science and Global Sustainability (CES3), Schiller Institute for Integrated Science and Society, Boston College, Chestnut Hill, Massachusetts, USA
- College of Forestry, Wildlife and Environment, Auburn University, Auburn, Alabama, USA
- Department of Engineering, Boston College, Chestnut Hill, Massachusetts, USA
| | - Hao Shi
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
| | - Chaoqun Lu
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, Iowa, USA
| | | | - Bo Cheng
- Biosystems Engineering Department, Auburn University, Auburn, Alabama, USA
| | - Dafeng Hui
- Department of Biological Sciences, Tennessee State University, Nashville, Tennessee, USA
| | - David Kicklighter
- The Ecosystems Center, Marine Biological Laboratory, Woods Hole, Massachusetts, USA
| | - Xin-Zhong Liang
- Department of Atmospheric and Oceanic Science and Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland, USA
| | - Xiaoyong Li
- Center for Earth System Science and Global Sustainability (CES3), Schiller Institute for Integrated Science and Society, Boston College, Chestnut Hill, Massachusetts, USA
- Department of Earth and Environmental Sciences, Boston College, Chestnut Hill, Massachusetts, USA
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
| | - Jerry Melillo
- The Ecosystems Center, Marine Biological Laboratory, Woods Hole, Massachusetts, USA
| | - Naiqing Pan
- Center for Earth System Science and Global Sustainability (CES3), Schiller Institute for Integrated Science and Society, Boston College, Chestnut Hill, Massachusetts, USA
- Department of Earth and Environmental Sciences, Boston College, Chestnut Hill, Massachusetts, USA
| | - Stephen A Prior
- USDA-ARS National Soil Dynamics Laboratory, Auburn, Alabama, USA
| | - John Reilly
- Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
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3
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Lee D, Kim JS, Park SW, Kug JS. An abrupt shift in gross primary productivity over Eastern China-Mongolia and its inter-model diversity in land surface models. Sci Rep 2023; 13:22971. [PMID: 38151486 PMCID: PMC10752903 DOI: 10.1038/s41598-023-49763-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 12/12/2023] [Indexed: 12/29/2023] Open
Abstract
The terrestrial ecosystem in East Asia mainly consists of semi-arid regions that are sensitive to climate change. Therefore, gross primary productivity (GPP) in East Asia could be highly variable and vulnerable to climate change, which can significantly affect the local carbon budget. Here, we examine the spatial and temporal characteristics of GPP variability in East Asia and its relationship with climate factors over the last three decades. We detect an abrupt decrease in GPP over Eastern China-Mongolia region around the year 2000. This is attributed to an abrupt decrease in precipitation associated with the phase shift of the Pacific decadal oscillation (PDO). We also evaluate the reproducibility of offline land surface models to simulate these abrupt changes. Of the twelve models, eight were able to simulate this abrupt response, while the others failed due to the combination of an exaggerated CO2 fertilization effect and an underrated climate impact. For accurate prediction, it is necessary to improve the sensitivity of the GPP to changes in CO2 concentrations and the climate system.
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Affiliation(s)
- Danbi Lee
- Division of Environmental Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, South Korea
| | - Jin-Soo Kim
- Low-Carbon and Climate Impact Research Centre, School of Energy and Environment, City University of Hong Kong, Hong Kong, People's Republic of China
| | - So-Won Park
- Division of Environmental Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, South Korea.
| | - Jong-Seong Kug
- Division of Environmental Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, South Korea.
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4
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Feng R, Li Z. Current investigations on global N 2O emissions and reductions: Prospect and outlook. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 338:122664. [PMID: 37813141 DOI: 10.1016/j.envpol.2023.122664] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 09/14/2023] [Accepted: 09/29/2023] [Indexed: 10/11/2023]
Abstract
Global nitrous oxide (N2O) emissions merit scrutiny, because N2O is the third most important greenhouse gas for global warming and the predominant ozone-depleting substance in this century. Here we recapitulate global natural and anthropogenic N2O sources, comprehensively depict global sectoral human-induced N2O emissions by country, thoroughly survey all existing approaches for mitigating human-induced N2O emissions, preview the economic costs and social benefits from abating N2O emissions, and summarize roadblocks for achieving its emission reductions. From 1970 to 2018, the annual global anthropogenic N2O emissions increased by 64%-about 3.6 teragrams (Tg); agricultural sources primarily accounted for 78% of this increment. We find the social benefits from reducing N2O emissions override the economic costs for abatements, only except precision farming for agricultural sources and replacement by Xe for anesthetic, thus justifying the motivation for crafting policies to limit its emissions. Net zero N2O emissions cannot be achieved via applying current technologies and breeding N2O-reducing microbes is a potential method to accrue N2O sinks.
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Affiliation(s)
- Rui Feng
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China; State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, 310027, China.
| | - Zhenhua Li
- Xiacheng District Study-Aid Science & Technology Studio, Hangzhou, 310004, China
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5
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Li F, Xiao J, Chen J, Ballantyne A, Jin K, Li B, Abraha M, John R. Global water use efficiency saturation due to increased vapor pressure deficit. Science 2023; 381:672-677. [PMID: 37561856 DOI: 10.1126/science.adf5041] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 07/06/2023] [Indexed: 08/12/2023]
Abstract
The ratio of carbon assimilation to water evapotranspiration (ET) of an ecosystem, referred to as ecosystem water use efficiency (WUEeco), is widely expected to increase because of the rising atmospheric carbon dioxide concentration (Ca). However, little is known about the interactive effects of rising Ca and climate change on WUEeco. On the basis of upscaled estimates from machine learning methods and global FLUXNET observations, we show that global WUEeco has not risen since 2001 because of the asymmetric effects of an increased vapor pressure deficit (VPD), which depressed photosynthesis and enhanced ET. An undiminished ET trend indicates that rising temperature and VPD may play a more important role in regulating ET than declining stomatal conductance. Projected increases in VPD are predicted to affect the future coupling of the terrestrial carbon and water cycles.
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Affiliation(s)
- Fei Li
- Grassland Research Institute, Chinese Academy of Agricultural Sciences, Hohhot 010010, China
- Center for Global Change and Earth Observations, Michigan State University, East Lansing, MI 48823, USA
| | - Jingfeng Xiao
- Earth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH 03824, USA
| | - Jiquan Chen
- Center for Global Change and Earth Observations, Michigan State University, East Lansing, MI 48823, USA
| | - Ashley Ballantyne
- Department of Ecosystem and Conservation Science, University of Montana, Missoula, MT 59801, USA
- Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, 91190 Gif-sur-Yvette, France
| | - Ke Jin
- Grassland Research Institute, Chinese Academy of Agricultural Sciences, Hohhot 010010, China
| | - Bing Li
- Grassland Research Institute, Chinese Academy of Agricultural Sciences, Hohhot 010010, China
| | - Michael Abraha
- Center for Global Change and Earth Observations, Michigan State University, East Lansing, MI 48823, USA
| | - Ranjeet John
- Department of Biology and Department of Sustainability, University of South Dakota, Vermillion, SD 57069, USA
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6
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Krishna DK, Watham T, Padalia H, Srinet R, Nandy S. Improved gross primary productivity estimation using semi empirical (PRELES) model for moist Indian sal forest. Ecol Modell 2023. [DOI: 10.1016/j.ecolmodel.2022.110175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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7
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Dohner JL, Birner B, Schwartzman A, Pongratz J, Keeling RF. Using the atmospheric CO 2 growth rate to constrain the CO 2 flux from land use and land cover change since 1900. GLOBAL CHANGE BIOLOGY 2022; 28:7327-7339. [PMID: 36117409 PMCID: PMC9825867 DOI: 10.1111/gcb.16396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 07/18/2022] [Indexed: 06/15/2023]
Abstract
We explore the ability of the atmospheric CO2 record since 1900 to constrain the source of CO2 from land use and land cover change (hereafter "land use"), taking account of uncertainties in other terms in the global carbon budget. We find that the atmospheric constraint favors land use CO2 flux estimates with lower decadal variability and can identify potentially erroneous features, such as emission peaks around 1960 and after 2000, in some published estimates. Furthermore, we resolve an offset in the global carbon budget that is most plausibly attributed to the land use flux. This correction shifts the mean land use flux since 1900 across 20 published estimates down by 0.35 PgC year-1 to 1.04 ± 0.57 PgC year-1 , which is within the range but at the low end of these estimates. We show that the atmospheric CO2 record can provide insights into the time history of the land use flux that may reduce uncertainty in this term and improve current understanding and projections of the global carbon cycle.
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Affiliation(s)
- Julia L. Dohner
- Scripps Institution of OceanographyUniversity of CaliforniaSan DiegoCaliforniaUSA
| | - Benjamin Birner
- Scripps Institution of OceanographyUniversity of CaliforniaSan DiegoCaliforniaUSA
| | - Armin Schwartzman
- Division of BiostatisticsUniversity of CaliforniaSan DiegoCaliforniaUSA
- Halıcıoğlu Data Science InstituteUniversity of CaliforniaSan DiegoCaliforniaUSA
| | - Julia Pongratz
- Department of GeographyLudwig‐Maximilians UniversitätMünchenGermany
- Max Planck Institute for MeteorologyHamburgGermany
| | - Ralph F. Keeling
- Scripps Institution of OceanographyUniversity of CaliforniaSan DiegoCaliforniaUSA
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8
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Song H, Peng C, Zhang K, Zhu Q. Integrating major agricultural practices into the TRIPLEX-GHG model v2.0 for simulating global cropland nitrous oxide emissions: Development, sensitivity analysis and site evaluation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 843:156945. [PMID: 35764156 DOI: 10.1016/j.scitotenv.2022.156945] [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: 02/28/2022] [Revised: 06/20/2022] [Accepted: 06/20/2022] [Indexed: 06/15/2023]
Abstract
Nitrous oxide (N2O) emissions from croplands are one of the most important greenhouse gas sources while the estimation of which remains large uncertainties globally. To simulate N2O emissions from global croplands, the process-based TRIPLEX-GHG model v2.0 was improved by coupling the major agricultural activities. Sensitivity experiment was used to measure the impact of the integrated processes to modeled N2O emission found chemical N fertilization have the highest relative effect sizes. While the coefficient of the NO3- consumption rate for denitrification (COEdNO3), controlling the first step of the denitrification process was identified to be the most sensitive parameter based on sensitivity analysis of model parameters. The model performed well when simulating the magnitude of the daily N2O emissions for 39 calibration sites and the continental mean of the parameters were used to producing reasonable estimations for the means of the measured daily N2O fluxes (R2 = 0.87, slope = 1.07) and emission factors (EFs, R2 = 0.70, slope = 0.72) during the experiment periods. The model reliability was further confirmed by model validation. General trend of modeled daily N2O emissions were reasonably consistent with the observations of selected validated sites. In addition, high correlations between the results of modeled and observed mean N2O emissions (R2 = 0.86, slope = 0.82) and EFs (R2 = 0.66, slope = 0.83) from 68 validation sites were obtained. Further improvement on more detailed estimations for the variation of the environmental factors, management effects as well as accurate model input model driving data are required to reduce the uncertainties of model simulations. Consequently, our simulation results demonstrate that the TRIPLEX-GHG model v2.0 can reliably estimate N2O emissions from various croplands at the global scale, which contributes to closing global N2O budget and sustainable development of agriculture.
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Affiliation(s)
- Hanxiong Song
- Institut des sciences de l'environnement, Université du Québec à Montréal, Montreal, Case Postale 8888, Succ. Centre-Ville, Montreal H3C 3P8, Canada.
| | - Changhui Peng
- Institut des sciences de l'environnement, Université du Québec à Montréal, Montreal, Case Postale 8888, Succ. Centre-Ville, Montreal H3C 3P8, Canada; School of Geographic Sciences, Hunan Normal University, Changsha 410081, China.
| | - Kerou Zhang
- Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China.
| | - Qiuan Zhu
- College of Hydrology and Water Resources, Hohai University, Nanjing 210024, China.
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9
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Regional and seasonal partitioning of water and temperature controls on global land carbon uptake variability. Nat Commun 2022; 13:3469. [PMID: 35710906 PMCID: PMC9203577 DOI: 10.1038/s41467-022-31175-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 05/30/2022] [Indexed: 11/16/2022] Open
Abstract
Global fluctuations in annual land carbon uptake (NEEIAV) depend on water and temperature variability, yet debate remains about local and seasonal controls of the global dependences. Here, we quantify regional and seasonal contributions to the correlations of globally-averaged NEEIAV against terrestrial water storage (TWS) and temperature, and respective uncertainties, using three approaches: atmospheric inversions, process-based vegetation models, and data-driven models. The three approaches agree that the tropics contribute over 63% of the global correlations, but differ on the dominant driver of the global NEEIAV, because they disagree on seasonal temperature effects in the Northern Hemisphere (NH, >25°N). In the NH, inversions and process-based models show inter-seasonal compensation of temperature effects, inducing a global TWS dominance supported by observations. Data-driven models show weaker seasonal compensation, thereby estimating a global temperature dominance. We provide a roadmap to fully understand drivers of global NEEIAV and discuss their implications for future carbon–climate feedbacks. The dominant driver of variations in global land carbon sink remains unclear. Here the authors show that the seasonal compensation of temperature effects on land carbon sink in the Northern Hemisphere could induce a global water dominance.
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10
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Improving global gross primary productivity estimation by fusing multi-source data products. Heliyon 2022; 8:e09153. [PMID: 35345404 PMCID: PMC8956891 DOI: 10.1016/j.heliyon.2022.e09153] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 02/27/2022] [Accepted: 03/16/2022] [Indexed: 11/21/2022] Open
Abstract
A reliable estimate of the gross primary productivity (GPP) of terrestrial vegetation is essential for both making decisions to address global climate change and understanding the global carbon balance. The lack of consistency in global terrestrial GPP estimates across various products leads to great uncertainty. In this study, we improve the quantification of global gross primary productivity by integrating multiple source GPP products without using any prior knowledge through the Bayesian-based Three-Cornered Hat (BTCH) method to generate a new weighted GPP data set. The fusion results demonstrate the superiority of weighted GPP, which greatly reduces the random error of individual datasets and fully takes advantage of the characteristics of multi-source data products. The weighted dataset can largely reproduce the interannual variation of regional GPP. Overall, the merging scheme based on the BTCH method can effectively generate a new GPP dataset that integrates information from multiple products and provides new ideas for GPP estimation on a global scale.
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11
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Keenan TF, Luo X, De Kauwe MG, Medlyn BE, Prentice IC, Stocker BD, Smith NG, Terrer C, Wang H, Zhang Y, Zhou S. A constraint on historic growth in global photosynthesis due to increasing CO 2. Nature 2021; 600:253-258. [PMID: 34880429 DOI: 10.1038/s41586-021-04096-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 10/05/2021] [Indexed: 11/09/2022]
Abstract
The global terrestrial carbon sink is increasing1-3, offsetting roughly a third of anthropogenic CO2 released into the atmosphere each decade1, and thus serving to slow4 the growth of atmospheric CO2. It has been suggested that a CO2-induced long-term increase in global photosynthesis, a process known as CO2 fertilization, is responsible for a large proportion of the current terrestrial carbon sink4-7. The estimated magnitude of the historic increase in photosynthesis as result of increasing atmospheric CO2 concentrations, however, differs by an order of magnitude between long-term proxies and terrestrial biosphere models7-13. Here we quantify the historic effect of CO2 on global photosynthesis by identifying an emergent constraint14-16 that combines terrestrial biosphere models with global carbon budget estimates. Our analysis suggests that CO2 fertilization increased global annual photosynthesis by 11.85 ± 1.4%, or 13.98 ± 1.63 petagrams carbon (mean ± 95% confidence interval) between 1981 and 2020. Our results help resolve conflicting estimates of the historic sensitivity of global photosynthesis to CO2, and highlight the large impact anthropogenic emissions have had on ecosystems worldwide.
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Affiliation(s)
- T F Keenan
- Department of Environmental Science, Policy and Management, UC Berkeley, Berkeley, CA, USA. .,Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
| | - X Luo
- Department of Environmental Science, Policy and Management, UC Berkeley, Berkeley, CA, USA.,Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,Department of Geography, National University of, Singapore, Singapore
| | - M G De Kauwe
- ARC Centre of Excellence for Climate Extremes, Sydney, New South Wales, Australia.,Climate Change Research Centre, University of New South Wales, Sydney, New South Wales, Australia.,School of Biological Sciences, University of Bristol, Bristol, UK
| | - B E Medlyn
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, New South Wales, Australia
| | - I C Prentice
- Department of Life Sciences, Imperial College London, Ascot, UK.,Department of Biological Sciences, Macquarie University, North Ryde, New South Wales, Australia.,Department of Earth System Science, Tsinghua University, Haidian, Beijing, China
| | - B D Stocker
- Department of Environmental Systems Science, ETH, Zurich, Switzerland.,Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland
| | - N G Smith
- Department of Biological Sciences, Texas Tech University, Lubbock, TX, USA
| | - C Terrer
- Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, USA.,Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Boston, MA, USA
| | - H Wang
- Department of Earth System Science, Tsinghua University, Haidian, Beijing, China
| | - Y Zhang
- Department of Environmental Science, Policy and Management, UC Berkeley, Berkeley, CA, USA.,Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China
| | - S Zhou
- Department of Environmental Science, Policy and Management, UC Berkeley, Berkeley, CA, USA.,Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY, USA.,Earth Institute, Columbia University, New York, NY, USA.,Department of Earth and Environmental Engineering, Columbia University, New York, NY, USA.,State Key Laboratory of Earth Surface Processes and Resources Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, China
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12
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Zhang Y, Ye A. Would the obtainable gross primary productivity (GPP) products stand up? A critical assessment of 45 global GPP products. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 783:146965. [PMID: 33866164 DOI: 10.1016/j.scitotenv.2021.146965] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 04/01/2021] [Accepted: 04/01/2021] [Indexed: 06/12/2023]
Abstract
Gross primary productivity (GPP) is a vital variable of the global carbon cycle, but the quantification of global GPP is subject to significant uncertainty due to the lack of direct observations at a global scale. Here, we evaluated and compared 45 GPP products in terms of their applicability to different vegetation types at various spatiotemporal scales. The results show that 44 GPP products and obsGPP (Model Tree Ensemble GPP derived from observations and named obsGPP) have similar global patterns with correlation coefficients greater than 0.8 except for NGT, where GOSIF, RS, and BESS are prominent. GPP products have the greatest variation in Suriname, with a mean 75th and 25th percentile difference value of 0.4748 (normalized), and we recommend RS, SDGVM and LPJ-wsl as they provide GPP estimates close to the average GPP. In terms of seasonal estimations, considerable disagreement occurs among the GPP products in winter, with a range from 118.76 to 314.95 gC/m2/season, among which JULES has the closest GPP value to the average GPP estimation. For studies concerning vegetation types preference is given to the LUE average GPP. The 45 GPP products are more consistent on grasslands but, have obvious differences for savannas. All GPP products have their own specific spatiotemporal scales, such as global or national scales or different seasons and different vegetation types (forest, grasslands, etc.). This study provides guidelines for selecting GPP products.
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Affiliation(s)
- Yahai Zhang
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Aizhong Ye
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
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13
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Wang M, Wang S, Zhao J, Ju W, Hao Z. Global positive gross primary productivity extremes and climate contributions during 1982-2016. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 774:145703. [PMID: 33610992 DOI: 10.1016/j.scitotenv.2021.145703] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 01/17/2021] [Accepted: 02/03/2021] [Indexed: 06/12/2023]
Abstract
Gross primary production (GPP) quantifies the photosynthetic uptake of carbon by the terrestrial ecosystem. Positive GPP extremes represent the potential capacity of the terrestrial ecosystem to uptake carbon dioxide. Studying the positive GPP extreme is vital for the global carbon cycle and mitigation of global warming. With increasing climate extreme events, many kinds of research focus on studying negative GPP and the negative impact of climatic extremes on GPP. There is still a lack of research on positive GPP extremes and whether climatic extremes could be beneficial to global carbon uptake. In this study, we used daily Boreal Ecosystem Productivity Simulator (BEPS) to simulate GPP of the global terrestrial ecosystem during 1982-2016 and combined TRENDY models to detect positive GPP extremes and investigate the effects of climate extremes on GPP. We found the results of the TRENDY models have large differences in some areas of the globe, and the BEPS model driven by remote sensing data could be more suitable for simulating the long-term time series of global terrestrial GPP. Compared to other plant functional types, grasslands contributed the most to positive GPP extremes, accounting for approximately 41.6% (TRENDY) and 34.8% (BEPS) of the global positive GPP extremes. The probabilities of positive GPP extremes caused by positive precipitation extremes were significantly higher than those caused by temperature and radiation in most areas of the globe, indicating that sufficient precipitation (not a flood) would boost the carbon uptake ability of the global terrestrial ecosystem to form positive GPP extremes. On the contrary, the partial correlation coefficients between temperature and GPP were negative in most areas of globe, suggesting that global warming will not be conducive to carbon uptake of the terrestrial ecosystem. This study may provide new knowledge on the global positive GPP extremes.
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Affiliation(s)
- Miaomiao Wang
- Institute of Digital Agriculture, Fujian Academy of Agricultural Sciences, Fuzhou 350003, China; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Shaoqiang Wang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.
| | - Jian Zhao
- Institute of Digital Agriculture, Fujian Academy of Agricultural Sciences, Fuzhou 350003, China.
| | - Weimin Ju
- Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, Nanjing 210023, China
| | - Zhuo Hao
- Agricultural Clean Watershed Research Group, Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China
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14
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Global human-made mass exceeds all living biomass. Nature 2020; 588:442-444. [DOI: 10.1038/s41586-020-3010-5] [Citation(s) in RCA: 149] [Impact Index Per Article: 37.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Accepted: 10/09/2020] [Indexed: 11/08/2022]
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15
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O'Sullivan M, Smith WK, Sitch S, Friedlingstein P, Arora VK, Haverd V, Jain AK, Kato E, Kautz M, Lombardozzi D, Nabel JEMS, Tian H, Vuichard N, Wiltshire A, Zhu D, Buermann W. Climate-Driven Variability and Trends in Plant Productivity Over Recent Decades Based on Three Global Products. GLOBAL BIOGEOCHEMICAL CYCLES 2020; 34:e2020GB006613. [PMID: 33380772 PMCID: PMC7757257 DOI: 10.1029/2020gb006613] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Revised: 11/17/2020] [Accepted: 11/22/2020] [Indexed: 06/12/2023]
Abstract
Variability in climate exerts a strong influence on vegetation productivity (gross primary productivity; GPP), and therefore has a large impact on the land carbon sink. However, no direct observations of global GPP exist, and estimates rely on models that are constrained by observations at various spatial and temporal scales. Here, we assess the consistency in GPP from global products which extend for more than three decades; two observation-based approaches, the upscaling of FLUXNET site observations (FLUXCOM) and a remote sensing derived light use efficiency model (RS-LUE), and from a suite of terrestrial biosphere models (TRENDYv6). At local scales, we find high correlations in annual GPP among the products, with exceptions in tropical and high northern latitudes. On longer time scales, the products agree on the direction of trends over 58% of the land, with large increases across northern latitudes driven by warming trends. Further, tropical regions exhibit the largest interannual variability in GPP, with both rainforests and savannas contributing substantially. Variability in savanna GPP is likely predominantly driven by water availability, although temperature could play a role via soil moisture-atmosphere feedbacks. There is, however, no consensus on the magnitude and driver of variability of tropical forests, which suggest uncertainties in process representations and underlying observations remain. These results emphasize the need for more direct long-term observations of GPP along with an extension of in situ networks in underrepresented regions (e.g., tropical forests). Such capabilities would support efforts to better validate relevant processes in models, to more accurately estimate GPP.
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Affiliation(s)
- Michael O'Sullivan
- College of Engineering, Mathematics and Physical SciencesUniversity of ExeterExeterUK
| | - William K. Smith
- School of Natural Resources and the EnvironmentUniversity of ArizonaTucsonAZUSA
| | - Stephen Sitch
- College of Life and Environmental SciencesUniversity of ExeterExeterUK
| | - Pierre Friedlingstein
- College of Engineering, Mathematics and Physical SciencesUniversity of ExeterExeterUK
- LMD/IPSL, ENS, PSL Université, École Polytechnique, Institut Polytechnique de Paris, Sorbonne Université, CNRSParisFrance
| | - Vivek K. Arora
- Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change CanadaUniversity of VictoriaVictoriaBritish ColumbiaCanada
| | | | - Atul K. Jain
- Department of Atmospheric SciencesUniversity of IllinoisUrbanaILUSA
| | | | - Markus Kautz
- Institute of Meteorology and Climate Research – Atmospheric Environmental Research (IMK‐IFU)Karlsruhe Institute of Technology (KIT)Garmisch‐PartenkirchenGermany
- Forest Research Institute Baden‐WürttembergFreiburgGermany
| | - Danica Lombardozzi
- Climate and Global Dynamics DivisionNational Center for Atmospheric ResearchBoulderCOUSA
| | | | - Hanqin Tian
- International Center for Climate and Global Change Research, School of Forestry and Wildlife SciencesAuburn UniversityAuburnALUSA
| | - Nicolas Vuichard
- Laboratoire des Sciences du Climat et de l'Environnement, UMR8212 CEA‐CNRS‐UVSQ, Université Paris‐Saclay, IPSLGif‐sur‐YvetteFrance
| | | | - Dan Zhu
- Laboratoire des Sciences du Climat et de l'Environnement, UMR8212 CEA‐CNRS‐UVSQ, Université Paris‐Saclay, IPSLGif‐sur‐YvetteFrance
| | - Wolfgang Buermann
- Institute of GeographyAugsburg UniversityAugsburgGermany
- Institute of the Environment and SustainabilityUniversity of California, Los AngelesLos AngelesCAUSA
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16
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Yun J, Jeong S, Ho CH, Park H, Liu J, Lee H, Sitch S, Friedlingstein P, Lienert S, Lombardozzi D, Haverd V, Jain A, Zaehle S, Kato E, Tian H, Vuichard N, Wiltshire A, Zeng N. Enhanced regional terrestrial carbon uptake over Korea revealed by atmospheric CO 2 measurements from 1999 to 2017. GLOBAL CHANGE BIOLOGY 2020; 26:3368-3383. [PMID: 32125754 DOI: 10.1111/gcb.15061] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Revised: 01/14/2020] [Accepted: 02/05/2020] [Indexed: 06/10/2023]
Abstract
Understanding changes in terrestrial carbon balance is important to improve our knowledge of the regional carbon cycle and climate change. However, evaluating regional changes in the terrestrial carbon balance is challenging due to the lack of surface flux measurements. This study reveals that the terrestrial carbon uptake over the Republic of Korea has been enhanced from 1999 to 2017 by analyzing long-term atmospheric CO2 concentration measurements at the Anmyeondo Station (36.53°N, 126.32°E) located in the western coast. The influence of terrestrial carbon flux on atmospheric CO2 concentrations (ΔCO2 ) is estimated from the difference of CO2 concentrations that were influenced by the land sector (through easterly winds) and the Yellow Sea sector (through westerly winds). We find a significant trend in ΔCO2 of -4.75 ppm per decade (p < .05) during the vegetation growing season (May through October), suggesting that the regional terrestrial carbon uptake has increased relative to the surrounding ocean areas. Combined analysis with satellite measured normalized difference vegetation index and gross primary production shows that the enhanced carbon uptake is associated with significant nationwide increases in vegetation and its production. Process-based terrestrial model and inverse model simulations estimate that regional terrestrial carbon uptake increases by up to 18.9 and 8.0 Tg C for the study period, accounting for 13.4% and 5.7% of the average annual domestic carbon emissions, respectively. Atmospheric chemical transport model simulations indicate that the enhanced terrestrial carbon sink is the primary reason for the observed ΔCO2 trend rather than anthropogenic emissions and atmospheric circulation changes. Our results highlight the fact that atmospheric CO2 measurements could open up the possibility of detecting regional changes in the terrestrial carbon cycle even where anthropogenic emissions are not negligible.
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Affiliation(s)
- Jeongmin Yun
- School of Earth and Environmental Sciences, Seoul National University, Seoul, Republic of Korea
| | - Sujong Jeong
- Department of Environmental Planning, Graduate School of Environmental Studies, Seoul National University, Seoul, Republic of Korea
| | - Chang-Hoi Ho
- School of Earth and Environmental Sciences, Seoul National University, Seoul, Republic of Korea
| | - Hoonyoung Park
- Department of Environmental Planning, Graduate School of Environmental Studies, Seoul National University, Seoul, Republic of Korea
| | - Junjie Liu
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
| | - Haeyoung Lee
- Environmental Meteorology Research Division, National Institute of Meteorological Sciences, Jeju, Republic of Korea
| | - Stephen Sitch
- College of Life and Environmental Sciences, University of Exeter, Exeter, UK
| | - Pierre Friedlingstein
- College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK
| | - Sebastian Lienert
- Climate and Environmental Physics, Physics Institute and Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
| | - Danica Lombardozzi
- Climate and Global Dynamics, Terrestrial Sciences Section, National Center for Atmospheric Research, Boulder, CO, USA
| | | | - Atual Jain
- Department of Atmospheric Sciences, University of Illinois, Urbana, IL, USA
| | - Sönke Zaehle
- Biogeochemical Integration Department, Max Planck Institute for Biogeochemistry, Jena, Germany
| | - Etsushi Kato
- Research & Development Division, Institute of Applied Energy (IAE), Tokyo, Japan
| | - Hanqin Tian
- School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, USA
| | - Nicolas Vuichard
- Laboratoire des Sciences du Climat et de l'Environnement, Institut Pierre-Simon Laplace, CEA-CNRS-UVSQ, CE Orme des Merisiers, Gif-sur-Yvette CEDEX, France
| | | | - Ning Zeng
- Department of Atmospheric and Oceanic Science and Earth System Science, Interdisciplinary Center, University of Maryland, College Park, MD, USA
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17
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Bastos A, Ciais P, Friedlingstein P, Sitch S, Pongratz J, Fan L, Wigneron JP, Weber U, Reichstein M, Fu Z, Anthoni P, Arneth A, Haverd V, Jain AK, Joetzjer E, Knauer J, Lienert S, Loughran T, McGuire PC, Tian H, Viovy N, Zaehle S. Direct and seasonal legacy effects of the 2018 heat wave and drought on European ecosystem productivity. SCIENCE ADVANCES 2020; 6:eaba2724. [PMID: 32577519 PMCID: PMC7286671 DOI: 10.1126/sciadv.aba2724] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Accepted: 04/14/2020] [Indexed: 05/23/2023]
Abstract
In summer 2018, central and northern Europe were stricken by extreme drought and heat (DH2018). The DH2018 differed from previous events in being preceded by extreme spring warming and brightening, but moderate rainfall deficits, yet registering the fastest transition between wet winter conditions and extreme summer drought. Using 11 vegetation models, we show that spring conditions promoted increased vegetation growth, which, in turn, contributed to fast soil moisture depletion, amplifying the summer drought. We find regional asymmetries in summer ecosystem carbon fluxes: increased (reduced) sink in the northern (southern) areas affected by drought. These asymmetries can be explained by distinct legacy effects of spring growth and of water-use efficiency dynamics mediated by vegetation composition, rather than by distinct ecosystem responses to summer heat/drought. The asymmetries in carbon and water exchanges during spring and summer 2018 suggest that future land-management strategies could influence patterns of summer heat waves and droughts under long-term warming.
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Affiliation(s)
- A. Bastos
- Department of Geography, Ludwig Maximilian University of Munich, Munich, Luisenstr. 37, 80333 Munich, Germany
| | - P. Ciais
- Laboratoire des Sciences du Climat et de l’Environnement (LSCE), CEA-CNRS-UVSQ, UMR8212, 91191 Gif-sur-Yvette, France
| | - P. Friedlingstein
- College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QF, UK
- LMD/IPSL, ENS, PSL Université, École Polytechnique, Institut Polytechnique de Paris, Sorbonne Université, CNRS, Paris, France
| | - S. Sitch
- College of Life and Environmental Sciences, University of Exeter, Exeter EX4 4RJ, UK
| | - J. Pongratz
- Department of Geography, Ludwig Maximilian University of Munich, Munich, Luisenstr. 37, 80333 Munich, Germany
- Max Planck Institute for Meteorology, 20146 Hamburg, Germany
| | - L. Fan
- ISPA, UMR 1391, INRA Nouvelle-Aquitaine, Université de Bordeaux, Grande Ferrage, Villenave d’Ornon, France
| | - J. P. Wigneron
- ISPA, UMR 1391, INRA Nouvelle-Aquitaine, Université de Bordeaux, Grande Ferrage, Villenave d’Ornon, France
| | - U. Weber
- Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
| | - M. Reichstein
- Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
| | - Z. Fu
- Laboratoire des Sciences du Climat et de l’Environnement (LSCE), CEA-CNRS-UVSQ, UMR8212, 91191 Gif-sur-Yvette, France
| | - P. Anthoni
- Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research/Atmospheric Environmental Research, 82467 Garmisch-Partenkirchen, Germany
| | - A. Arneth
- Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research/Atmospheric Environmental Research, 82467 Garmisch-Partenkirchen, Germany
| | - V. Haverd
- CSIRO Oceans and Atmosphere, Canberra, ACT 2601, Australia
| | - A. K. Jain
- Department of Atmospheric Sciences, University of Illinois, Urbana, IL 61801, USA
| | - E. Joetzjer
- CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
| | - J. Knauer
- CSIRO Oceans and Atmosphere, Canberra, ACT 2601, Australia
| | - S. Lienert
- Climate and Environmental Physics, Physics Institute and Oeschger Centre for Climate Change Research, University of Bern, Bern CH-3012, Switzerland
| | - T. Loughran
- Department of Geography, Ludwig Maximilian University of Munich, Munich, Luisenstr. 37, 80333 Munich, Germany
| | - P. C. McGuire
- Department of Meteorology, Department of Geography & Environmental Science, and National Centre for Atmospheric Science, University of Reading, Earley Gate, RG66BB Reading, UK
| | - H. Tian
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, 602 Duncan Drive, Auburn, AL 36849, USA
| | - N. Viovy
- Laboratoire des Sciences du Climat et de l’Environnement (LSCE), CEA-CNRS-UVSQ, UMR8212, 91191 Gif-sur-Yvette, France
| | - S. Zaehle
- Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
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18
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Kondo M, Patra PK, Sitch S, Friedlingstein P, Poulter B, Chevallier F, Ciais P, Canadell JG, Bastos A, Lauerwald R, Calle L, Ichii K, Anthoni P, Arneth A, Haverd V, Jain AK, Kato E, Kautz M, Law RM, Lienert S, Lombardozzi D, Maki T, Nakamura T, Peylin P, Rödenbeck C, Zhuravlev R, Saeki T, Tian H, Zhu D, Ziehn T. State of the science in reconciling top-down and bottom-up approaches for terrestrial CO 2 budget. GLOBAL CHANGE BIOLOGY 2020; 26:1068-1084. [PMID: 31828914 DOI: 10.1111/gcb.14917] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 11/07/2019] [Accepted: 11/07/2019] [Indexed: 06/10/2023]
Abstract
Robust estimates of CO2 budget, CO2 exchanged between the atmosphere and terrestrial biosphere, are necessary to better understand the role of the terrestrial biosphere in mitigating anthropogenic CO2 emissions. Over the past decade, this field of research has advanced through understanding of the differences and similarities of two fundamentally different approaches: "top-down" atmospheric inversions and "bottom-up" biosphere models. Since the first studies were undertaken, these approaches have shown an increasing level of agreement, but disagreements in some regions still persist, in part because they do not estimate the same quantity of atmosphere-biosphere CO2 exchange. Here, we conducted a thorough comparison of CO2 budgets at multiple scales and from multiple methods to assess the current state of the science in estimating CO2 budgets. Our set of atmospheric inversions and biosphere models, which were adjusted for a consistent flux definition, showed a high level of agreement for global and hemispheric CO2 budgets in the 2000s. Regionally, improved agreement in CO2 budgets was notable for North America and Southeast Asia. However, large gaps between the two methods remained in East Asia and South America. In other regions, Europe, boreal Asia, Africa, South Asia, and Oceania, it was difficult to determine whether those regions act as a net sink or source because of the large spread in estimates from atmospheric inversions. These results highlight two research directions to improve the robustness of CO2 budgets: (a) to increase representation of processes in biosphere models that could contribute to fill the budget gaps, such as forest regrowth and forest degradation; and (b) to reduce sink-source compensation between regions (dipoles) in atmospheric inversion so that their estimates become more comparable. Advancements on both research areas will increase the level of agreement between the top-down and bottom-up approaches and yield more robust knowledge of regional CO2 budgets.
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Affiliation(s)
- Masayuki Kondo
- Center for Environmental Remote Sensing, Chiba University, Chiba, Japan
| | - Prabir K Patra
- Center for Environmental Remote Sensing, Chiba University, Chiba, Japan
- Department of Environmental Geochemical Cycle Research, Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
| | - Stephen Sitch
- College of Life and Environmental Sciences, University of Exeter, Exeter, UK
| | - Pierre Friedlingstein
- College of Engineering, Mathematics, and Physical Sciences, University of Exeter, Exeter, UK
| | - Benjamin Poulter
- Biospheric Science Laboratory, National Aeronautics and Space Administration Goddard Space Flight Center, Greenbelt, MD, USA
| | - Frederic Chevallier
- Laboratoire des Sciences du Climat et de l'Environnement, Institut Pierre Simon Laplace, Gif-sur-Yvette, France
| | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l'Environnement, Institut Pierre Simon Laplace, Gif-sur-Yvette, France
| | - Josep G Canadell
- Global Carbon Project, Commonwealth Scientific and Industrial Research Organisation-Oceans and Atmosphere, Canberra, ACT, Australia
| | - Ana Bastos
- Department of Geography, Ludwig-Maximilian University of Munich, Munich, Germany
| | | | - Leonardo Calle
- W.A. Franke College of Forestry & Conservation, University of Montana, Missoula, MT, USA
| | - Kazuhito Ichii
- Center for Environmental Remote Sensing, Chiba University, Chiba, Japan
- Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan
| | - Peter Anthoni
- Institute of Meteorology and Climate Research/Atmospheric Environmental Research, Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany
| | - Almut Arneth
- Institute of Meteorology and Climate Research/Atmospheric Environmental Research, Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany
| | - Vanessa Haverd
- Commonwealth Scientific and Industrial Research Organisation-Oceans and Atmosphere, Canberra, ACT, Australia
| | - Atul K Jain
- Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | | | - Markus Kautz
- Institute of Meteorology and Climate Research/Atmospheric Environmental Research, Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany
- Department of Forest Health, Forest Research Institute Baden-Württemberg, Freiburg, Germany
| | - Rachel M Law
- Commonwealth Scientific and Industrial Research Organisation-Oceans and Atmosphere, Aspendale, Vic., Australia
| | - Sebastian Lienert
- Climate and Environmental Physics, Physics Institute and Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
| | - Danica Lombardozzi
- Climate and Global Dynamics, National Center for Atmospheric Research, Boulder, CO, USA
| | - Takashi Maki
- Meteorological Research Institute, Tsukuba, Japan
| | | | - Philippe Peylin
- Laboratoire des Sciences du Climat et de l'Environnement, Institut Pierre Simon Laplace, Gif-sur-Yvette, France
| | | | - Ruslan Zhuravlev
- Central Aerological Observatory of Russian Hydromet Service, Moscow, Russia
| | - Tazu Saeki
- Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan
| | - Hanqin Tian
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, USA
| | - Dan Zhu
- Laboratoire des Sciences du Climat et de l'Environnement, Institut Pierre Simon Laplace, Gif-sur-Yvette, France
| | - Tilo Ziehn
- Commonwealth Scientific and Industrial Research Organisation-Oceans and Atmosphere, Aspendale, Vic., Australia
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Song X, Peng C, Ciais P, Li Q, Xiang W, Xiao W, Zhou G, Deng L. Nitrogen addition increased CO 2 uptake more than non-CO 2 greenhouse gases emissions in a Moso bamboo forest. SCIENCE ADVANCES 2020; 6:eaaw5790. [PMID: 32206705 PMCID: PMC7080497 DOI: 10.1126/sciadv.aaw5790] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 12/20/2019] [Indexed: 05/05/2023]
Abstract
Atmospheric nitrogen (N) deposition affects the greenhouse gas (GHG) balance of ecosystems through the net atmospheric CO2 exchange and the emission of non-CO2 GHGs (CH4 and N2O). We quantified the effects of N deposition on biomass increment, soil organic carbon (SOC), and N2O and CH4 fluxes and, ultimately, the net GHG budget at ecosystem level of a Moso bamboo forest in China. Nitrogen addition significantly increased woody biomass increment and SOC decomposition, increased N2O emission, and reduced soil CH4 uptake. Despite higher N2O and CH4 fluxes, the ecosystem remained a net GHG sink of 26.8 to 29.4 megagrams of CO2 equivalent hectare-1 year-1 after 4 years of N addition against 22.7 hectare-1 year-1 without N addition. The total net carbon benefits induced by atmospheric N deposition at current rates of 30 kilograms of N hectare-1 year-1 over Moso bamboo forests across China were estimated to be of 23.8 teragrams of CO2 equivalent year-1.
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Affiliation(s)
- Xinzhang Song
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China
- Corresponding author.
| | - Changhui Peng
- Institute of Environment Sciences, Department of Biology Sciences, University of Quebec at Montreal, Case Postale 8888, Succursale Centre-Ville, Montreal H3C3P8, Canada
- State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l’Environnement, CEA CNRS UVSQ, Gif-sur-Yvette 91191, France
| | - Quan Li
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China
| | - Wenhua Xiang
- Faculty of Life Science and Technology, Central South University of Forestry and Technology, Changsha 410004, China
| | - Wenfa Xiao
- Key Laboratory of Forest Ecology and Environment, State Forestry Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China
| | - Guomo Zhou
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China
| | - Lei Deng
- State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling, Shaanxi 712100, China
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20
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Zhao JF, Peng SS, Chen MP, Wang GZ, Cui YB, Liao LG, Feng JG, Zhu B, Liu WJ, Yang LY, Tan ZH. Tropical forest soils serve as substantial and persistent methane sinks. Sci Rep 2019; 9:16799. [PMID: 31728015 PMCID: PMC6856371 DOI: 10.1038/s41598-019-51515-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Accepted: 09/09/2019] [Indexed: 11/19/2022] Open
Abstract
Although tropical forest soils contributed substantially global soil methane uptake, observations on soil methane fluxes in tropical forests are still sparse, especially in Southeast Asia, leading to large uncertainty in the estimation of global soil methane uptake. Here, we conducted two-year (from Sep, 2016 to Sep, 2018) measurements of soil methane fluxes in a lowland tropical forest site in Hainan island, China. At this tropical forest site, soils were substantial methane sink, and average annual soil methane uptake was estimated at 2.00 kg CH4-C ha−1 yr−1. The seasonality of soil methane uptake showed strong methane uptake in the dry season (−1.00 nmol m−2 s−1) and almost neutral or weak soil methane uptake in the wet season (−0.24 nmol m−2 s−1). The peak soil methane uptake rate was observed as −1.43 nmol m−2 s−1 in February, 2018, the driest and coolest month during the past 24 months. Soil moisture was the dominant controller of methane fluxes, and could explain 94% seasonal variation of soil methane fluxes. Soil temperature could not enhance the explanation of seasonal variation of soil methane fluxes on the top of soil moisture. A positive relationship between soil methane uptake and soil respiration was also detected, which might indicate co-variation in activities of methanotroph and roots and/or microbes for soil heterotrophic respiration. Our study highlights that tropical forests in this region acted as a methane sink.
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Affiliation(s)
- Jun-Fu Zhao
- School of Ecology and Environment, Hainan University, Haikou, 570228, China
| | - Shu-Shi Peng
- College of Urban and Environment Sciences, Peking University, Beijing, 100871, China
| | - Meng-Ping Chen
- School of Ecology and Environment, Hainan University, Haikou, 570228, China
| | - Guan-Ze Wang
- School of Ecology and Environment, Hainan University, Haikou, 570228, China
| | - Yi-Bin Cui
- School of Ecology and Environment, Hainan University, Haikou, 570228, China
| | - Li-Guo Liao
- School of Ecology and Environment, Hainan University, Haikou, 570228, China
| | - Ji-Guang Feng
- College of Urban and Environment Sciences, Peking University, Beijing, 100871, China
| | - Biao Zhu
- College of Urban and Environment Sciences, Peking University, Beijing, 100871, China
| | - Wen-Jie Liu
- School of Ecology and Environment, Hainan University, Haikou, 570228, China
| | - Lian-Yan Yang
- School of Ecology and Environment, Hainan University, Haikou, 570228, China.
| | - Zheng-Hong Tan
- School of Ecology and Environment, Hainan University, Haikou, 570228, China.
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21
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Shang Z, Zhou F, Smith P, Saikawa E, Ciais P, Chang J, Tian H, Del Grosso SJ, Ito A, Chen M, Wang Q, Bo Y, Cui X, Castaldi S, Juszczak R, Kasimir Å, Magliulo V, Medinets S, Medinets V, Rees RM, Wohlfahrt G, Sabbatini S. Weakened growth of cropland-N 2 O emissions in China associated with nationwide policy interventions. GLOBAL CHANGE BIOLOGY 2019; 25:3706-3719. [PMID: 31233668 DOI: 10.1111/gcb.14741] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 06/17/2019] [Indexed: 06/09/2023]
Abstract
China has experienced rapid agricultural development over recent decades, accompanied by increased fertilizer consumption in croplands; yet, the trend and drivers of the associated nitrous oxide (N2 O) emissions remain uncertain. The primary sources of this uncertainty are the coarse spatial variation of activity data and the incomplete model representation of N2 O emissions in response to agricultural management. Here, we provide new data-driven estimates of cropland-N2 O emissions across China in 1990-2014, compiled using a global cropland-N2 O flux observation dataset, nationwide survey-based reconstruction of N-fertilization and irrigation, and an updated nonlinear model. In addition, we have evaluated the drivers behind changing cropland-N2 O patterns using an index decomposition analysis approach. We find that China's annual cropland-N2 O emissions increased on average by 11.2 Gg N/year2 (p < .001) from 1990 to 2003, after which emissions plateaued until 2014 (2.8 Gg N/year2 , p = .02), consistent with the output from an ensemble of process-based terrestrial biosphere models. The slowdown of the increase in cropland-N2 O emissions after 2003 was pervasive across two thirds of China's sowing areas. This change was mainly driven by the nationwide reduction in N-fertilizer applied per area, partially due to the prevalence of nationwide technological adoptions. This reduction has almost offset the N2 O emissions induced by policy-driven expansion of sowing areas, particularly in the Northeast Plain and the lower Yangtze River Basin. Our results underline the importance of high-resolution activity data and adoption of nonlinear model of N2 O emission for capturing cropland-N2 O emission changes. Improving the representation of policy interventions is also recommended for future projections.
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Affiliation(s)
- Ziyin Shang
- Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, P. R. China
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
| | - Feng Zhou
- Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, P. R. China
| | - Pete Smith
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
| | - Eri Saikawa
- Department of Environmental Sciences, Emory University, Atlanta, GA, USA
| | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ, Gif-sur-Yvette, France
| | - Jinfeng Chang
- Laboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ, Gif-sur-Yvette, France
| | - Hanqin Tian
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, USA
| | - Stephen J Del Grosso
- Soil Management and Sugar Beet Research, USDA Agricultural Research Service, Fort Collins, CO, USA
| | - Akihiko Ito
- Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan
| | - Minpeng Chen
- School of Agricultural Economics and Rural Development, Renmin University of China, Beijing, P.R. China
| | - Qihui Wang
- Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, P. R. China
| | - Yan Bo
- Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, P. R. China
| | - Xiaoqing Cui
- Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, P. R. China
| | - Simona Castaldi
- Dipartimento di Scienze e Tecnologie Ambientali Biologiche e Farmaceutiche, Università degli Studi della Campania "Luigi Vanvitelli", Caserta, Italy
| | - Radoslaw Juszczak
- Department of Meteorology, Poznan University of Life Sciences, Poznan, Poland
| | - Åsa Kasimir
- Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden
| | - Vincenzo Magliulo
- 13I SAFOM-CNR, Institute for Mediterranean Agricultural and Forest Systems, National Research Council, Ercolano, Italy
| | - Sergiy Medinets
- Regional Centre for Integrated Environmental Monitoring and Ecological Researches, Odessa National I. I. Mechnikov University (ONU), Odessa, Ukraine
| | - Volodymyr Medinets
- Regional Centre for Integrated Environmental Monitoring and Ecological Researches, Odessa National I. I. Mechnikov University (ONU), Odessa, Ukraine
| | | | - Georg Wohlfahrt
- Institute of Ecology, University of Innsbruck, Innsbruck, Austria
| | - Simone Sabbatini
- Department for Innovation in Biological, Agro-food and Forest Systems (DIBAF), University of Tuscia, Viterbo, Italy
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22
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Kou-Giesbrecht S, Menge D. Nitrogen-fixing trees could exacerbate climate change under elevated nitrogen deposition. Nat Commun 2019; 10:1493. [PMID: 30940812 PMCID: PMC6445091 DOI: 10.1038/s41467-019-09424-2] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Accepted: 03/06/2019] [Indexed: 11/25/2022] Open
Abstract
Biological nitrogen fixation can fuel CO2 sequestration by forests but can also stimulate soil emissions of nitrous oxide (N2O), a potent greenhouse gas. Here we use a theoretical model to suggest that symbiotic nitrogen-fixing trees could either mitigate (CO2 sequestration outweighs soil N2O emissions) or exacerbate (vice versa) climate change relative to non-fixing trees, depending on their nitrogen fixation strategy (the degree to which they regulate nitrogen fixation to balance nitrogen supply and demand) and on nitrogen deposition. The model posits that nitrogen-fixing trees could exacerbate climate change globally relative to non-fixing trees by the radiative equivalent of 0.77 Pg C yr−1 under nitrogen deposition rates projected for 2030. This value is highly uncertain, but its magnitude suggests that this subject requires further study and that improving the representation of biological nitrogen fixation in climate models could substantially decrease estimates of the extent to which forests will mitigate climate change. The balance between CO2 sequestration by forests and soil N2O emissions is poorly constrained. Here, the authors use a theoretical model to demonstrate that symbiotic N2-fixing trees can either mitigate climate change or exacerbate it relative to non-fixing trees.
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Affiliation(s)
- Sian Kou-Giesbrecht
- Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, NY, 10027, USA.
| | - Duncan Menge
- Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, NY, 10027, USA
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23
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Ma J, Chen W, Niu X, Fan Y. The relationship between phosphine, methane, and ozone over paddy field in Guangzhou, China. Glob Ecol Conserv 2019. [DOI: 10.1016/j.gecco.2019.e00581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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24
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Bastos A, Friedlingstein P, Sitch S, Chen C, Mialon A, Wigneron JP, Arora VK, Briggs PR, Canadell JG, Ciais P, Chevallier F, Cheng L, Delire C, Haverd V, Jain AK, Joos F, Kato E, Lienert S, Lombardozzi D, Melton JR, Myneni R, Nabel JEMS, Pongratz J, Poulter B, Rödenbeck C, Séférian R, Tian H, van Eck C, Viovy N, Vuichard N, Walker AP, Wiltshire A, Yang J, Zaehle S, Zeng N, Zhu D. Impact of the 2015/2016 El Niño on the terrestrial carbon cycle constrained by bottom-up and top-down approaches. Philos Trans R Soc Lond B Biol Sci 2018; 373:rstb.2017.0304. [PMID: 30297465 PMCID: PMC6178442 DOI: 10.1098/rstb.2017.0304] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/22/2018] [Indexed: 11/12/2022] Open
Abstract
Evaluating the response of the land carbon sink to the anomalies in temperature and drought imposed by El Niño events provides insights into the present-day carbon cycle and its climate-driven variability. It is also a necessary step to build confidence in terrestrial ecosystems models' response to the warming and drying stresses expected in the future over many continents, and particularly in the tropics. Here we present an in-depth analysis of the response of the terrestrial carbon cycle to the 2015/2016 El Niño that imposed extreme warming and dry conditions in the tropics and other sensitive regions. First, we provide a synthesis of the spatio-temporal evolution of anomalies in net land–atmosphere CO2 fluxes estimated by two in situ measurements based on atmospheric inversions and 16 land-surface models (LSMs) from TRENDYv6. Simulated changes in ecosystem productivity, decomposition rates and fire emissions are also investigated. Inversions and LSMs generally agree on the decrease and subsequent recovery of the land sink in response to the onset, peak and demise of El Niño conditions and point to the decreased strength of the land carbon sink: by 0.4–0.7 PgC yr−1 (inversions) and by 1.0 PgC yr−1 (LSMs) during 2015/2016. LSM simulations indicate that a decrease in productivity, rather than increase in respiration, dominated the net biome productivity anomalies in response to ENSO throughout the tropics, mainly associated with prolonged drought conditions. This article is part of a discussion meeting issue ‘The impact of the 2015/2016 El Niño on the terrestrial tropical carbon cycle: patterns, mechanisms and implications’.
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Affiliation(s)
- Ana Bastos
- Department of Geography, Ludwig Maximilians University Munich, Luisenstr. 37, Munich D-80333, Germany .,Laboratoire des Sciences du Climat et de l'Environnement (LSCE), CEA-CNRS-UVSQ, UMR8212, Gif-sur-Yvette 91191, France
| | - Pierre Friedlingstein
- College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QF, UK
| | - Stephen Sitch
- College of Life and Environmental Sciences, University of Exeter, Exeter EX4 4RJ, UK
| | - Chi Chen
- Department of Earth and Environment, Boston University, Boston, MA 02215, USA
| | - Arnaud Mialon
- CESBIO, Université de Toulouse, CNES/CNRS/IRD/UPS, 31400 Toulouse, France
| | | | - Vivek K Arora
- Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, University of Victoria, Victoria, British Columbia, Canada V8W2Y2
| | - Peter R Briggs
- CSIRO Oceans and Atmosphere, Canberra, ACT 2601, Australia
| | - Josep G Canadell
- Global Carbon Project, CSIRO Oceans and Atmosphere, Canberra, ACT 2601, Australia
| | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l'Environnement (LSCE), CEA-CNRS-UVSQ, UMR8212, Gif-sur-Yvette 91191, France
| | - Frédéric Chevallier
- Laboratoire des Sciences du Climat et de l'Environnement (LSCE), CEA-CNRS-UVSQ, UMR8212, Gif-sur-Yvette 91191, France
| | - Lei Cheng
- State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, People's Republic of China
| | - Christine Delire
- Centre National de Recherches Météorologiques, CNRM, Unité 3589 CNRS/Meteo-France/Université Fédérale de Toulouse, Av G Coriolis, Toulouse 31057, France
| | - Vanessa Haverd
- CSIRO Oceans and Atmosphere, Canberra, ACT 2601, Australia
| | - Atul K Jain
- Department of Atmospheric Sciences, University of Illinois, Urbana, IL 61801, USA
| | - Fortunat Joos
- Climate and Environmental Physics, Physics Institute and Oeschger Centre for Climate Change Research, University of Bern, Bern CH-3012, Switzerland
| | - Etsushi Kato
- Institute of Applied Energy (IAE), Minato, Tokyo 105-0003, Japan
| | - Sebastian Lienert
- Climate and Environmental Physics, Physics Institute and Oeschger Centre for Climate Change Research, University of Bern, Bern CH-3012, Switzerland
| | - Danica Lombardozzi
- Climate and Global Dynamics Division, National Center for Atmospheric Research, Boulder, CO 80302, USA
| | - Joe R Melton
- Climate Processes Section, Environment and Climate Change Canada, Downsview, Ontario, Canada V8W2Y2
| | - Ranga Myneni
- Department of Earth and Environment, Boston University, Boston, MA 02215, USA
| | | | - Julia Pongratz
- Department of Geography, Ludwig Maximilians University Munich, Luisenstr. 37, Munich D-80333, Germany.,Max Planck Institute for Meteorology, Hamburg 20146, Germany
| | - Benjamin Poulter
- NASA Goddard Space Flight Center, Biospheric Sciences Lab, Greenbelt, MD 20816, USA
| | | | - Roland Séférian
- Centre National de Recherches Météorologiques, CNRM, Unité 3589 CNRS/Meteo-France/Université Fédérale de Toulouse, Av G Coriolis, Toulouse 31057, France
| | - Hanqin Tian
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, 602 Duncan Drive, Auburn, AL 36849, USA
| | - Christel van Eck
- Department of Geoscience, Environment and Society, CP 160/02, Université Libre de Bruxelles, Brussels 1050, Belgium
| | - Nicolas Viovy
- Laboratoire des Sciences du Climat et de l'Environnement (LSCE), CEA-CNRS-UVSQ, UMR8212, Gif-sur-Yvette 91191, France
| | - Nicolas Vuichard
- Laboratoire des Sciences du Climat et de l'Environnement (LSCE), CEA-CNRS-UVSQ, UMR8212, Gif-sur-Yvette 91191, France
| | - Anthony P Walker
- Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
| | | | - Jia Yang
- International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, 602 Duncan Drive, Auburn, AL 36849, USA
| | - Sönke Zaehle
- Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
| | - Ning Zeng
- Department of Atmospheric and Oceanic Science and Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 100029, USA.,State Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Beijing 20740, People's Republic of China
| | - Dan Zhu
- Laboratoire des Sciences du Climat et de l'Environnement (LSCE), CEA-CNRS-UVSQ, UMR8212, Gif-sur-Yvette 91191, France
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25
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Ebrahimi A, Or D. Dynamics of soil biogeochemical gas emissions shaped by remolded aggregate sizes and carbon configurations under hydration cycles. GLOBAL CHANGE BIOLOGY 2018; 24:e378-e392. [PMID: 29028292 DOI: 10.1111/gcb.13938] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Revised: 10/04/2017] [Accepted: 10/05/2017] [Indexed: 06/07/2023]
Abstract
Changes in soil hydration status affect microbial community dynamics and shape key biogeochemical processes. Evidence suggests that local anoxic conditions may persist and support anaerobic microbial activity in soil aggregates (or in similar hot spots) long after the bulk soil becomes aerated. To facilitate systematic studies of interactions among environmental factors with biogeochemical emissions of CO2 , N2 O and CH4 from soil aggregates, we remolded silt soil aggregates to different sizes and incorporated carbon at different configurations (core, mixed, no addition). Assemblies of remolded soil aggregates of three sizes (18, 12, and 6 mm) and equal volumetric proportions were embedded in sand columns at four distinct layers. The water table level in each column varied periodically while obtaining measurements of soil GHG emissions for the different aggregate carbon configurations. Experimental results illustrate that methane production required prolonged inundation and highly anoxic conditions for inducing measurable fluxes. The onset of unsaturated conditions (lowering water table) resulted in a decrease in CH4 emissions while temporarily increasing N2 O fluxes. Interestingly, N2 O fluxes were about 80% higher form aggregates with carbon placement in center (anoxic) core compared to mixed carbon within aggregates. The fluxes of CO2 were comparable for both scenarios of carbon sources. These experimental results highlight the importance of hydration dynamics in activating different GHG production and affecting various transport mechanisms about 80% of total methane emissions during lowering water table level are attributed to physical storage (rather than production), whereas CO2 emissions (~80%) are attributed to biological activity. A biophysical model for microbial activity within soil aggregates and profiles provides a means for results interpretation and prediction of trends within natural soils under a wide range of conditions.
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Affiliation(s)
- Ali Ebrahimi
- Department of Environmental Systems Science, ETH Zürich, Zürich, Switzerland
| | - Dani Or
- Department of Environmental Systems Science, ETH Zürich, Zürich, Switzerland
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26
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27
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Dangal SRS, Tian H, Lu C, Pan S, Pederson N, Hessl A. Synergistic effects of climate change and grazing on net primary production of Mongolian grasslands. Ecosphere 2016. [DOI: 10.1002/ecs2.1274] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Affiliation(s)
- Shree R. S. Dangal
- International Center for Climate and Global Change Research and School of Forestry and Wildlife Sciences Auburn University Auburn Alabama 36849 USA
| | - Hanqin Tian
- International Center for Climate and Global Change Research and School of Forestry and Wildlife Sciences Auburn University Auburn Alabama 36849 USA
| | - Chaoqun Lu
- International Center for Climate and Global Change Research and School of Forestry and Wildlife Sciences Auburn University Auburn Alabama 36849 USA
| | - Shufen Pan
- International Center for Climate and Global Change Research and School of Forestry and Wildlife Sciences Auburn University Auburn Alabama 36849 USA
| | - Neil Pederson
- Harvard Forest Harvard University 324 North Main Street Petersham Massachusetts 01366 USA
| | - Amy Hessl
- Department of Geology and Geography West Virginia University Morgantown West Virginia 26506 USA
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28
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The terrestrial biosphere as a net source of greenhouse gases to the atmosphere. Nature 2016; 531:225-8. [DOI: 10.1038/nature16946] [Citation(s) in RCA: 308] [Impact Index Per Article: 38.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2015] [Accepted: 12/09/2015] [Indexed: 11/08/2022]
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29
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Feng Y, Friedrichs MAM, Wilkin J, Tian H, Yang Q, Hofmann EE, Wiggert JD, Hood RR. Chesapeake Bay nitrogen fluxes derived from a land-estuarine ocean biogeochemical modeling system: Model description, evaluation, and nitrogen budgets. JOURNAL OF GEOPHYSICAL RESEARCH. BIOGEOSCIENCES 2015; 120:1666-1695. [PMID: 27668137 PMCID: PMC5014239 DOI: 10.1002/2015jg002931] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2015] [Revised: 07/18/2015] [Accepted: 07/21/2015] [Indexed: 05/07/2023]
Abstract
The Chesapeake Bay plays an important role in transforming riverine nutrients before they are exported to the adjacent continental shelf. Although the mean nitrogen budget of the Chesapeake Bay has been previously estimated from observations, uncertainties associated with interannually varying hydrological conditions remain. In this study, a land-estuarine-ocean biogeochemical modeling system is developed to quantify Chesapeake riverine nitrogen inputs, within-estuary nitrogen transformation processes and the ultimate export of nitrogen to the coastal ocean. Model skill was evaluated using extensive in situ and satellite-derived data, and a simulation using environmental conditions for 2001-2005 was conducted to quantify the Chesapeake Bay nitrogen budget. The 5 year simulation was characterized by large riverine inputs of nitrogen (154 × 109 g N yr-1) split roughly 60:40 between inorganic:organic components. Much of this was denitrified (34 × 109 g N yr-1) and buried (46 × 109 g N yr-1) within the estuarine system. A positive net annual ecosystem production for the bay further contributed to a large advective export of organic nitrogen to the shelf (91 × 109 g N yr-1) and negligible inorganic nitrogen export. Interannual variability was strong, particularly for the riverine nitrogen fluxes. In years with higher than average riverine nitrogen inputs, most of this excess nitrogen (50-60%) was exported from the bay as organic nitrogen, with the remaining split between burial, denitrification, and inorganic export to the coastal ocean. In comparison to previous simulations using generic shelf biogeochemical model formulations inside the estuary, the estuarine biogeochemical model described here produced more realistic and significantly greater exports of organic nitrogen and lower exports of inorganic nitrogen to the shelf.
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Affiliation(s)
- Yang Feng
- Virginia Institute of Marine Science College of William & Mary Gloucester Point Virginia USA
| | - Marjorie A M Friedrichs
- Virginia Institute of Marine Science College of William & Mary Gloucester Point Virginia USA
| | - John Wilkin
- Department of Marine and Coastal Sciences, Rutgers The State University of New Jersey New Brunswick New Jersey USA
| | - Hanqin Tian
- International Center for Climate and Global Change Research and School of Forestry and Wildlife Sciences Auburn University Auburn Alabama USA
| | - Qichun Yang
- International Center for Climate and Global Change Research and School of Forestry and Wildlife Sciences Auburn University Auburn Alabama USA
| | - Eileen E Hofmann
- Center for Coastal Physical Oceanography Old Dominion University Norfolk Virginia USA
| | - Jerry D Wiggert
- Department of Marine Science University of Southern Mississippi, Stennis Space Center Mississippi USA
| | - Raleigh R Hood
- Horn Point Laboratory University of Maryland Center for Environmental Science Cambridge Maryland USA
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30
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Ren W, Tian H, Tao B, Yang J, Pan S, Cai WJ, Lohrenz SE, He R, Hopkinson CS. Large increase in dissolved inorganic carbon flux from the Mississippi River to Gulf of Mexico due to climatic and anthropogenic changes over the 21st century. JOURNAL OF GEOPHYSICAL RESEARCH. BIOGEOSCIENCES 2015; 120:724-736. [PMID: 27708988 PMCID: PMC5032896 DOI: 10.1002/2014jg002761] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2014] [Revised: 02/16/2015] [Accepted: 03/15/2015] [Indexed: 06/02/2023]
Abstract
It is recognized that anthropogenic factors have had a major impact on carbon fluxes from land to the ocean during the past two centuries. However, little is known about how future changes in climate, atmospheric CO2, and land use may affect riverine carbon fluxes over the 21st century. Using a coupled hydrological-biogeochemical model, the Dynamic Land Ecosystem Model, this study examines potential changes in dissolved inorganic carbon (DIC) export from the Mississippi River basin to the Gulf of Mexico during 2010-2099 attributable to climate-related conditions (temperature and precipitation), atmospheric CO2, and land use change. Rates of annual DIC export are projected to increase by 65% under the high emission scenario (A2) and 35% under the low emission scenario (B1) between the 2000s and the 2090s. Climate-related changes along with rising atmospheric CO2 together would account for over 90% of the total increase in DIC export throughout the 21st century. The predicted increase in DIC export from the Mississippi River basin would alter chemistry of the coastal ocean unless appropriate climate mitigation actions are taken in the near future.
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Affiliation(s)
- Wei Ren
- International Center for Climate and Global Change Research Auburn University Auburn Alabama USA
| | - Hanqin Tian
- International Center for Climate and Global Change Research Auburn University Auburn Alabama USA
| | - Bo Tao
- International Center for Climate and Global Change Research Auburn University Auburn Alabama USA
| | - Jia Yang
- International Center for Climate and Global Change Research Auburn University Auburn Alabama USA
| | - Shufen Pan
- International Center for Climate and Global Change Research Auburn University Auburn Alabama USA
| | - Wei-Jun Cai
- School of Marine Science and Policy University of Delaware Newark Delaware USA
| | - Steven E Lohrenz
- School for Marine Science and Technology University of Massachusetts Dartmouth New Bedford Massachusetts USA
| | - Ruoying He
- Department of Marine, Earth and Atmospheric Sciences North Carolina State University Raleigh North Carolina USA
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31
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Hörtnagl L, Wohlfahrt G. Methane and nitrous oxide exchange over a managed hay meadow. BIOGEOSCIENCES (ONLINE) 2014; 11:7219-7236. [PMID: 25821473 PMCID: PMC4373549 DOI: 10.5194/bg-11-7219-2014] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
The methane (CH4) and nitrous oxide (N2O) exchange of a temperate mountain grassland near Neustift, Austria, was measured during 2010-2012 over a time period of 22 months using the eddy covariance method. Exchange rates of both compounds at the site were low, with 97% of all half-hourly CH4 and N2O fluxes ranging between ±200 and ±50 ng m-2 s-1, respectively. The meadow acted as a sink for both compounds during certain time periods, but was a clear source of CH4 and N2O on an annual timescale. Therefore, both gases contributed to an increase of the global warming potential (GWP), effectively reducing the sink strength in terms of CO2 equivalents of the investigated grassland site. In 2011, our best guess estimate showed a net greenhouse gas (GHG) sink of -32 g CO2 equ. m-2 yr-1 for the meadow, whereby 55% of the CO2 sink strength of -71 g CO2m-2 yr-1 was offset by CH4 (N2O) emissions of 7 (32) g CO2 equ. m-2 yr-1. When all data were pooled, the ancillary parameters explained 27 (42)% of observed CH4 (N2O) flux variability, and up to 62 (76)% on shorter timescales in-between management dates. In the case of N2O fluxes, we found the highest emissions at intermediate soil water contents and at soil temperatures close to 0 or above 14 °C. In comparison to CO2, H2O and energy fluxes, the interpretation of CH4 and N2O exchange was challenging due to footprint heterogeneity regarding their sources and sinks, uncertainties regarding post-processing and quality control. Our results emphasize that CH4 and N2O fluxes over supposedly well-aerated and moderately fertilized soils cannot be neglected when evaluating the GHG impact of temperate managed grasslands.
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Affiliation(s)
- L. Hörtnagl
- Institute of Ecology, University of Innsbruck, Austria
| | - G. Wohlfahrt
- Institute of Ecology, University of Innsbruck, Austria
- European Academy of Bolzano, Bolzano, Italy
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32
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Global potential of biospheric carbon management for climate mitigation. Nat Commun 2014; 5:5282. [PMID: 25407959 DOI: 10.1038/ncomms6282] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2013] [Accepted: 09/17/2014] [Indexed: 11/09/2022] Open
Abstract
Elevated concentrations of atmospheric greenhouse gases (GHGs), particularly carbon dioxide (CO2), have affected the global climate. Land-based biological carbon mitigation strategies are considered an important and viable pathway towards climate stabilization. However, to satisfy the growing demands for food, wood products, energy, climate mitigation and biodiversity conservation-all of which compete for increasingly limited quantities of biomass and land-the deployment of mitigation strategies must be driven by sustainable and integrated land management. If executed accordingly, through avoided emissions and carbon sequestration, biological carbon and bioenergy mitigation could save up to 38 billion tonnes of carbon and 3-8% of estimated energy consumption, respectively, by 2050.
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