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Tibet","award":["XZ202101ZD0003N"],"award-info":[{"award-number":["XZ202101ZD0003N"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The Tibetan Plateau (TP) is one of the most important areas for the study of the carbon budgets of terrestrial ecosystems. However, the estimation of the net ecosystem productivity (NEP) remains uncertain in this region due to its complex topographic properties and climatic conditions. Using CO2-eddy-covariance-flux data from 1982 to 2018 at 18 sites distributed around the TP grassland, we analyzed the spatial\u2013temporal patterns of the grassland NEP and its driving factors from 1982 to 2018 using a random forest (RF) model. Our results showed that the RF model captured the size of the carbon sink (R2 = 0.65, p &lt; 0.05) between the observed and simulated values for the validation samples. During the observation period, the grassland acted as a carbon sink of 26.2 Tg C yr\u22121 and increased significantly, by 0.4 g C m\u22122 yr\u22121. On a regional scale, the annual NEP gradually increased from the northwest to the southeast, and a similar pattern was also observed in the long-term trends. Furthermore, the moisture conditions, such as the specific humidity and precipitation, were proven to be the main driving factors of the carbon flux in the southeastern areas, while the temperature predominantly controlled the carbon flux in the northwest. Our results emphasize the net carbon sink of the TP and provide a reliable way to upscale NEP from sites.<\/jats:p>","DOI":"10.3390\/rs15092375","type":"journal-article","created":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T12:10:03Z","timestamp":1682943003000},"page":"2375","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Estimation of Net Ecosystem Productivity on the Tibetan Plateau Grassland from 1982 to 2018 Based on Random Forest Model"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-7519-9501","authenticated-orcid":false,"given":"Jiahe","family":"Zheng","sequence":"first","affiliation":[{"name":"Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China"}]},{"given":"Yangjian","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China"},{"name":"Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100101, China"}]},{"given":"Xuhui","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Urban and Environmental Sciences, Peking University, Beijing 100871, China"}]},{"given":"Juntao","family":"Zhu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100101, China"}]},{"given":"Guang","family":"Zhao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8156-0602","authenticated-orcid":false,"given":"Zhoutao","family":"Zheng","sequence":"additional","affiliation":[{"name":"Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"}]},{"given":"Jian","family":"Tao","sequence":"additional","affiliation":[{"name":"School of Public Administration, Shandong Technology and Business University, Yantai 264005, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3210-5467","authenticated-orcid":false,"given":"Yu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China"}]},{"given":"Ji","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"Department of Geography, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,4,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"895","DOI":"10.1126\/science.aaa1668","article-title":"The dominant role of semi-arid ecosystems in the trend and variability of the land CO2 sink","volume":"348","author":"Ahlstrom","year":"2015","journal-title":"Science"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1046\/j.1365-2486.1998.00151.x","article-title":"The global carbon sink: A grassland perspective","volume":"4","author":"Scurlock","year":"1998","journal-title":"Glob. Change Biol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1016\/j.agee.2010.04.004","article-title":"Measurements necessary for assessing the net ecosystem carbon budget of croplands","volume":"139","author":"Smith","year":"2010","journal-title":"Agric. Ecosyst. Environ."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.agrformet.2010.09.002","article-title":"Assessing net ecosystem carbon exchange of U.S. terrestrial ecosystems by integrating eddy covariance flux measurements and satellite observations","volume":"151","author":"Xiao","year":"2011","journal-title":"Agric. For. Meteorol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/j.agrformet.2015.08.265","article-title":"Biophysical controls on carbon and water vapor fluxes across a grassland climatic gradient in the United States","volume":"214\u2013215","author":"Wagle","year":"2015","journal-title":"Agric. For. Meteorol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2879","DOI":"10.5194\/bg-6-2879-2009","article-title":"Environmental influences on carbon dioxide fluxes over three grassland ecosystems in China","volume":"6","author":"Fu","year":"2009","journal-title":"Biogeosciences"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/j.earscirev.2019.04.023","article-title":"Northern Hemisphere permafrost map based on TTOP modelling for 2000\u20132016 at 1 km2 scale","volume":"193","author":"Obu","year":"2019","journal-title":"Earth-Sci. Rev."},{"key":"ref_8","first-page":"543","article-title":"Simulations of terrestrial carbon metabolism and atmospheric CO2 in a general circulation model. Part 2: Simulated CO2 concentrations","volume":"48","author":"Scottdenning","year":"2010","journal-title":"Tellus"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"798","DOI":"10.1111\/gcb.12079","article-title":"Spatial patterns and climate drivers of carbon fluxes in terrestrial ecosystems of China","volume":"3","author":"Yu","year":"2013","journal-title":"Glob. Change Biol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"641","DOI":"10.1007\/s11430-021-9892-6","article-title":"Estimation of China\u2019s terrestrial ecosystem carbon sink: Methods, progress and prospects","volume":"65","author":"Piao","year":"2022","journal-title":"Sci. China, Ser. D Earth Sci."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"D17102","DOI":"10.1029\/2006JD008149","article-title":"Uncertainty of annual net ecosystem productivity estimated using eddy covariance flux measurements","volume":"112","author":"Dragoni","year":"2007","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"2415","DOI":"10.1175\/1520-0477(2001)082<2415:FANTTS>2.3.CO;2","article-title":"FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities","volume":"82","author":"Baldocchi","year":"2001","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"108694","DOI":"10.1016\/j.agrformet.2021.108694","article-title":"Carbon fluxes and environmental controls across different alpine grassland types on the Tibetan Plateau","volume":"311","author":"Wang","year":"2021","journal-title":"Agric. For. Meteorol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/j.agrformet.2019.06.003","article-title":"Water and carbon dioxide exchange of an alpine meadow ecosystem in the northeastern Tibetan Plateau is energy-limited","volume":"275","author":"Sun","year":"2019","journal-title":"Agric. For. Meteorol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"4811","DOI":"10.5194\/essd-14-4811-2022","article-title":"Global Carbon Budget 2022","volume":"14","author":"Friedlingstein","year":"2022","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.gloplacha.2017.05.008","article-title":"Sensitivity of alpine grassland carbon balance to interannual variability in climate and atmospheric CO 2 on the Tibetan Plateau during the last century","volume":"154","author":"Lin","year":"2017","journal-title":"Glob. Planet. Change"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/j.jclepro.2015.04.140","article-title":"The spatial and temporal dynamics of carbon budget in the alpine grasslands on the Qinghai-Tibetan Plateau using the Terrestrial Ecosystem Model","volume":"107","author":"Yan","year":"2015","journal-title":"J. Cleaner Prod."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.gloplacha.2012.08.009","article-title":"Impacts of climate and CO2 changes on the vegetation growth and carbon balance of Qinghai\u2013Tibetan grasslands over the past five decades","volume":"98\u201399","author":"Piao","year":"2012","journal-title":"Glob. Planet. Change"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"115707","DOI":"10.1016\/j.geoderma.2022.115707","article-title":"Weakening of carbon sink on the Qinghai\u2013Tibet Plateau","volume":"412","author":"Wu","year":"2022","journal-title":"Geoderma"},{"key":"ref_20","first-page":"1","article-title":"Carbon storage in China\u2019s terrestrial ecosystems: A synthesis","volume":"8","author":"Xu","year":"2018","journal-title":"Sci. Rep."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.agrformet.2006.02.011","article-title":"Overview of ChinaFLUX and evaluation of its eddy covariance measurement","volume":"137","author":"Yu","year":"2006","journal-title":"Agric. For. Meteorol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1499","DOI":"10.1111\/gcb.14845","article-title":"Gap-filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis","volume":"26","author":"Kim","year":"2020","journal-title":"Glob. Change Biol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"106114","DOI":"10.1016\/j.ecolind.2020.106114","article-title":"Using the random forest model and validated MODIS with the field spectrometer measurement promote the accuracy of estimating aboveground biomass and coverage of alpine grasslands on the Qinghai-Tibetan Plateau","volume":"112","author":"Gao","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"114566","DOI":"10.1016\/j.apenergy.2020.114566","article-title":"Prediction and analysis of net ecosystem carbon exchange based on gradient boosting regression and random forest","volume":"262","author":"Cai","year":"2020","journal-title":"Appl. Energy"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"2222","DOI":"10.1038\/s41598-019-38639-y","article-title":"Examining Interactions Between and Among Predictors of Net Ecosystem Exchange: A Machine Learning Approach in a Semi-arid Landscape","volume":"9","author":"Zhou","year":"2019","journal-title":"Sci. Rep."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"038502","DOI":"10.1117\/1.JRS.13.038502","article-title":"Estimating deciduous broadleaf forest gross primary productivity by remote sensing data using a random forest regression model","volume":"13","author":"Chen","year":"2019","journal-title":"J. Appl. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"4291","DOI":"10.5194\/bg-13-4291-2016","article-title":"Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms","volume":"13","author":"Tramontana","year":"2016","journal-title":"Biogeosciences"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1038\/s41597-020-00653-5","article-title":"Global terrestrial carbon fluxes of 1999\u20132019 estimated by upscaling eddy covariance data with a random forest","volume":"7","author":"Zeng","year":"2020","journal-title":"Sci. Data"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1343","DOI":"10.5194\/bg-17-1343-2020","article-title":"Scaling carbon fluxes from eddy covariance sites to globe: Synthesis and evaluation of the FLUXCOM approach","volume":"17","author":"Jung","year":"2020","journal-title":"Biogeosciences"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"2783","DOI":"10.1890\/07-0539.1","article-title":"Random Forests for Classification in Ecology","volume":"88","author":"Cutler","year":"2007","journal-title":"Ecology"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1016\/j.agrformet.2018.02.007","article-title":"A new estimation of China\u2019s net ecosystem productivity based on eddy covariance measurements and a model tree ensemble approach","volume":"253\u2013254","author":"Yao","year":"2018","journal-title":"Agric. For. Meteorol."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1080\/14498596.2017.1367331","article-title":"NPP estimation using random forest and impact feature variable importance analysis","volume":"64","author":"Yu","year":"2017","journal-title":"J. Spatial Sci."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Dou, X., and Yang, Y. (2018). Comprehensive Evaluation of Machine Learning Techniques for Estimating the Responses of Carbon Fluxes to Climatic Forces in Different Terrestrial Ecosystems. Atmosphere, 9.","DOI":"10.3390\/atmos9030083"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1038\/nature09364","article-title":"The impacts of climate change on water resources and agriculture in China","volume":"467","author":"Piao","year":"2010","journal-title":"Nature"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1007\/s10584-005-6339-8","article-title":"Variations in Vegetation Net Primary Production in the Qinghai-Xizang Plateau, China, from 1982 to 1999","volume":"74","author":"Piao","year":"2006","journal-title":"Clim. Change"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"5232","DOI":"10.1175\/2009JCLI2949.1","article-title":"Quantifying Carbon Cycle Feedbacks","volume":"22","author":"Gregory","year":"2009","journal-title":"J. Clim."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1285","DOI":"10.1111\/j.1365-2486.2006.01153.x","article-title":"Temperature and biomass influences on interannual changes in CO2 exchange in an alpine meadow on the Qinghai-Tibetan Plateau","volume":"12","author":"Kato","year":"2006","journal-title":"Glob. Change Biol."},{"key":"ref_38","first-page":"410","article-title":"The system of physico-geographical regions of the Qinghai-Xizang (Tibet) Plateau","volume":"39","author":"Zheng","year":"1996","journal-title":"Sci. China Ser. D Earth Sci."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"420","DOI":"10.1038\/ngeo2945","article-title":"Decadal soil carbon accumulation across Tibetan permafrost regions","volume":"10","author":"Ding","year":"2017","journal-title":"Nat. Geosci."},{"key":"ref_40","unstructured":"Xu, X., Liu, J., Zhang, S., Li, R., Tan, C., and Wu, S. (2022, April 20). Multi-Period Remote Sensing Monitoring Data Set of Land Use in China. Available online: https:\/\/www.resdc.cn\/doi\/doi.aspx?DOIid=54."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"e2015283118","DOI":"10.1073\/pnas.2015283118","article-title":"Plant uptake of CO(2) outpaces losses from permafrost and plant respiration on the Tibetan Plateau","volume":"118","author":"Wei","year":"2021","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.agrformet.2016.05.004","article-title":"Ecosystem response more than climate variability drives the inter-annual variability of carbon fluxes in three Chinese grasslands","volume":"225","author":"Zhang","year":"2016","journal-title":"Agric. For. Meteorol."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"109135","DOI":"10.1016\/j.agrformet.2022.109135","article-title":"Joint control of alpine meadow productivity by plant phenology and photosynthetic capacity","volume":"325","author":"Zhang","year":"2022","journal-title":"Agric. For. Meteorol."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"303","DOI":"10.3390\/rs4010303","article-title":"Exploring Simple Algorithms for Estimating Gross Primary Production in Forested Areas from Satellite Data","volume":"4","author":"Hashimoto","year":"2012","journal-title":"Remote Sens."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forest","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1016\/j.rse.2015.07.015","article-title":"Uncertainty analysis of gross primary production upscaling using Random Forests, remote sensing and eddy covariance data","volume":"168","author":"Tramontana","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1471","DOI":"10.1016\/j.ecolmodel.2011.02.007","article-title":"Application of a Random Forest algorithm to predict spatial distribution of the potential yield of Ruditapes philippinarum in the Venice lagoon, Italy","volume":"222","author":"Vincenzi","year":"2011","journal-title":"Ecol. Model."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1379","DOI":"10.1080\/01621459.1968.10480934","article-title":"Estimates of the Regression Coefficient Based on Kendall\u2019s Tau","volume":"63","author":"Sen","year":"1968","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1007\/s10584-015-1389-z","article-title":"Enhanced precipitation variability effects on water losses and ecosystem functioning: Differential response of arid and mesic regions","volume":"131","author":"Sala","year":"2015","journal-title":"Clim. Change"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"6823","DOI":"10.1111\/gcb.16403","article-title":"The global decline in the sensitivity of vegetation productivity to precipitation from 2001 to 2018","volume":"28","author":"Zeng","year":"2022","journal-title":"Glob. Change Biol."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.agrformet.2018.02.027","article-title":"Water availability is more important than temperature in driving the carbon fluxes of an alpine meadow on the Tibetan Plateau","volume":"256","author":"Zhang","year":"2018","journal-title":"Agric. For. Meteorol."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"1132","DOI":"10.1029\/2018JG004789","article-title":"A Carbon Flux Assessment Driven by Environmental Factors Over the Tibetan Plateau and Various Permafrost Regions","volume":"124","author":"Lin","year":"2019","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"903","DOI":"10.1002\/2015JG003124","article-title":"Changes in interannual climate sensitivities of terrestrial carbon fluxes during the 21st century predicted by CMIP5 Earth System Models","volume":"121","author":"Liu","year":"2016","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"114363","DOI":"10.1016\/j.geoderma.2020.114363","article-title":"Effects of warming on carbon and nitrogen cycling in alpine grassland ecosystems on the Tibetan Plateau: A meta-analysis","volume":"370","author":"Chen","year":"2020","journal-title":"Geoderma"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1790","DOI":"10.3389\/fpls.2018.01790","article-title":"Productivity and Quality of Alpine Grassland Vary With Soil Water Availability Under Experimental Warming","volume":"9","author":"Li","year":"2018","journal-title":"Front. Plant Sci."},{"key":"ref_56","first-page":"1994","article-title":"Non-growth season\u2019s greenhouse gases emission and its yearly contribution from alpine meadow on Tibetan Plateau of China","volume":"32","author":"Wang","year":"2013","journal-title":"Chin. J. Ecol."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1016\/j.agrformet.2016.03.017","article-title":"Differential response of alpine steppe and alpine meadow to climate warming in the central Qinghai\u2013Tibetan Plateau - ScienceDirect","volume":"223","author":"Ganjurjav","year":"2016","journal-title":"Agric. For. Meteorol."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1111\/j.1365-2486.2008.01713.x","article-title":"Temperature controls ecosystem CO2 exchange of an alpine meadow on the northeastern Tibetan Plateau","volume":"15","author":"Saito","year":"2009","journal-title":"Glob. Change Biol."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"L07404","DOI":"10.1029\/2009GL037381","article-title":"Footprint of temperature changes in the temperate and boreal forest carbon balance","volume":"36","author":"Piao","year":"2009","journal-title":"Geophys. Res. Lett."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"516","DOI":"10.1038\/nature20780","article-title":"Compensatory water effects link yearly global land CO2 sink changes to temperature","volume":"541","author":"Jung","year":"2017","journal-title":"Nature"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1007\/s00376-019-8194-y","article-title":"Climate and Vegetation Drivers of Terrestrial Carbon Fluxes:A Global Data Synthesis","volume":"36","author":"Chen","year":"2019","journal-title":"Adv. Atmos. Sci."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1038\/s43017-022-00344-2","article-title":"Carbon and nitrogen cycling on the Qinghai\u2013Tibetan Plateau","volume":"3","author":"Chen","year":"2022","journal-title":"Nat. Rev. Earth Environ."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"668","DOI":"10.1038\/s43017-022-00330-8","article-title":"Grassland changes and adaptive management on the Qinghai\u2013Tibetan Plateau","volume":"3","author":"Wang","year":"2022","journal-title":"Nat. Rev. Earth Environ."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1071\/RJ14077","article-title":"Changes in vegetation composition and plant diversity with rangeland degradation in the alpine region of Qinghai-Tibet Plateau","volume":"37","author":"Tang","year":"2015","journal-title":"Rangel. J."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"133978","DOI":"10.1016\/j.scitotenv.2019.133978","article-title":"Carbon fluxes across alpine, oasis, and desert ecosystems in northwestern China: The importance of water availability","volume":"697","author":"Wang","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_66","unstructured":"Zhang, X. (2007). Vegetation map of the People\u2019s Republic of China (1:1 000 000 000). Geol. Press, Available online: https:\/\/www.plantplus.cn."},{"key":"ref_67","first-page":"1","article-title":"Advances in carbon flux observation and research in Asia","volume":"21","author":"Yu","year":"2005","journal-title":"Sci. China Ser. D Earth Sci."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"E7","DOI":"10.1038\/s41586-021-04255-y","article-title":"The size of the land carbon sink in China","volume":"603","author":"Wang","year":"2022","journal-title":"Nature"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"1213","DOI":"10.1016\/j.scitotenv.2014.10.082","article-title":"Carbon pools and fluxes in a Tibetan alpine Kobresia pygmaea pasture partitioned by coupled eddy-covariance measurements and 13CO2 pulse labeling","volume":"505","author":"Ingrisch","year":"2015","journal-title":"Sci. Total Environ."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"e2202343119","DOI":"10.1073\/pnas.2202343119","article-title":"Data processing uncertainties may lead to an overestimation of the land carbon sink of the Tibetan Plateau","volume":"119","author":"Wang","year":"2022","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1111\/j.1744-7909.2005.00066.x","article-title":"Carbon Dioxide Exchange Between the Atmosphere and an Alpine Shrubland Meadow During the Growing Season on the Qinghai-Tibetan Plateau","volume":"47","author":"Zhao","year":"2005","journal-title":"J. Integr. Plant Biol."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"2015","DOI":"10.1111\/j.1365-2486.2008.01626.x","article-title":"Evaluation of the terrestrial carbon cycle, future plant geography and climate-carbon cycle feedbacks using five Dynamic Global Vegetation Models (DGVMs)","volume":"14","author":"Sitch","year":"2008","journal-title":"Glob. Change Biol."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"159390","DOI":"10.1016\/j.scitotenv.2022.159390","article-title":"Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning","volume":"857","author":"Zhu","year":"2022","journal-title":"Sci. Total Environ."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"e01724","DOI":"10.1002\/ecs2.1724","article-title":"A global study of GPP focusing on light-use efficiency in a random forest regression model","volume":"8","author":"Wei","year":"2017","journal-title":"Ecosphere"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"GB1007","DOI":"10.1029\/2010GB003838","article-title":"China\u2019s terrestrial carbon balance: Contributions from multiple global change factors","volume":"25","author":"Tian","year":"2011","journal-title":"Glob. Biogeochem. Cycles"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/9\/2375\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:27:32Z","timestamp":1760124452000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/9\/2375"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,30]]},"references-count":75,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2023,5]]}},"alternative-id":["rs15092375"],"URL":"https:\/\/doi.org\/10.3390\/rs15092375","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,30]]}}}