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Engineering","award":["2019B05014"],"award-info":[{"award-number":["2019B05014"]}]},{"name":"Belt and Road Special Foundation of the State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering","award":["B200203050"],"award-info":[{"award-number":["B200203050"]}]},{"name":"Belt and Road Special Foundation of the State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering","award":["2021490611"],"award-info":[{"award-number":["2021490611"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>To better understand the mechanisms of the hydro-ecological cycle in the changing environments of the Yangtze River Basin (YZRB), it is valuable to investigate vegetation dynamics and their response to climate change. This study explored the spatial patterns of vegetation dynamics and the essential triggers of regional differences by analyzing vegetation variations in the 1982\u20132015 period at different time scales and the interannual variability of vegetation sensitivity to climate variability. The results showed that the normalized difference vegetation index (NDVI) increased significantly in the last three decades, but vegetation displayed great spatiotemporal variations at different time scales. The vegetation in the central part of the YZRB dominated by forests and shrublands was more sensitive to climate variability than vegetation in the source region of the YZRB, which was dominated by alpine meadows and tundra (AMT). The contribution of climate variables to the vegetation sensitivity index (VSI) had large spatial differences, but solar radiation and temperature were the dominant factors. Furthermore, 57.9% of the YZRB had increasing VSIs, especially in the south-central part. Consistent with the distributions of elevation and vegetation types, vegetation dynamics in the YZRB were divided into five spatial patterns, with the largest increasing NDVI trend in Region III and the largest VSI in Region IV. Moreover, the VSI exhibited fairly consistent dynamics in all subregions, but the contributions of climate variables to the VSI varied greatly among the different regions.<\/jats:p>","DOI":"10.3390\/rs14215623","type":"journal-article","created":{"date-parts":[[2022,11,8]],"date-time":"2022-11-08T08:17:12Z","timestamp":1667895432000},"page":"5623","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Regional Patterns of Vegetation Dynamics and Their Sensitivity to Climate Variability in the Yangtze River Basin"],"prefix":"10.3390","volume":"14","author":[{"given":"Qin","family":"Wang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China"}]},{"given":"Qin","family":"Ju","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China"}]},{"given":"Yueyang","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7792-4875","authenticated-orcid":false,"given":"Xiaolei","family":"Fu","sequence":"additional","affiliation":[{"name":"College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225009, China"}]},{"given":"Wenjie","family":"Zhao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China"}]},{"given":"Yiheng","family":"Du","sequence":"additional","affiliation":[{"name":"Hydrology Research Unit, Swedish Meteorological and Hydrological Institute, 60176 Norrk\u00f6ping, Sweden"}]},{"given":"Peng","family":"Jiang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China"}]},{"given":"Zhenchun","family":"Hao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"692","DOI":"10.1016\/j.rse.2010.10.011","article-title":"Analysis of monotonic greening and browning trends from global NDVI time-series","volume":"115","author":"Schaepman","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1038\/nature25138","article-title":"Unexpectedly large impact of forest management and grazing on global vegetation biomass","volume":"553","author":"Erb","year":"2018","journal-title":"Nature"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/S0168-1923(02)00104-1","article-title":"Environmental controls over carbon dioxide and water vapor exchange of terrestrial vegetation","volume":"113","author":"Law","year":"2002","journal-title":"Agric. For. Meteorol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"105892","DOI":"10.1016\/j.ecolind.2019.105892","article-title":"Vegetation dynamics and the relations with climate change at multiple time scales in the Yangtze River and Yellow River Basin, China","volume":"110","author":"Zhang","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"126532","DOI":"10.1016\/j.jhydrol.2021.126532","article-title":"Time-lag effects of climatic change and drought on vegetation dynamics in an alpine river basin of the Tibet Plateau, China","volume":"600","author":"Zuo","year":"2021","journal-title":"J. Hydrol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1886","DOI":"10.1016\/j.rse.2009.04.004","article-title":"Evaluation of earth observation based long term vegetation trends\u2014Intercomparing NDVI time series trend analysis consistency of Sahel from AVHRR GIMMS, Terra MODIS and SPOT VGT data","volume":"113","author":"Fensholt","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"739","DOI":"10.1029\/2018RG000608","article-title":"An overview of global leaf area index (LAI): Methods, products, validation, and applications","volume":"57","author":"Fang","year":"2019","journal-title":"Rev. Geophys."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/S0034-4257(02)00096-2","article-title":"Overview of the radiometric and biophysical performance of the MODIS vegetation indices","volume":"83","author":"Huete","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Bageshree, K., and Kinouchi, T. (2022). Unraveling the Multiple Drivers of Greening-Browning and Leaf Area Variability in a Socioeconomically Sensitive Drought-Prone Region. Climate, 10.","DOI":"10.3390\/cli10050070"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"108745","DOI":"10.1016\/j.ecolind.2022.108745","article-title":"NDVI-based vegetation dynamics and their responses to climate change and human activities from 1982 to 2020: A case study in the Mu Us Sandy Land, China","volume":"137","author":"Gao","year":"2022","journal-title":"Ecol. Indic."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"791","DOI":"10.1038\/nclimate3004","article-title":"Greening of the Earth and its drivers","volume":"6","author":"Zhu","year":"2016","journal-title":"Nat. Clim. Chang."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"13233","DOI":"10.3390\/rs71013233","article-title":"Spatial and temporal patterns of global NDVI trends: Correlations with climate and human factors","volume":"7","author":"Liu","year":"2015","journal-title":"Remote Sens."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"967","DOI":"10.1016\/j.scitotenv.2017.05.012","article-title":"Vegetation dynamics and responses to climate change and human activities in Central Asia","volume":"599\u2013600","author":"Jiang","year":"2017","journal-title":"Sci. Total Environ."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"145648","DOI":"10.1016\/j.scitotenv.2021.145648","article-title":"Quantifying the contributions of human activities and climate change to vegetation net primary productivity dynamics in China from 2001 to 2016","volume":"773","author":"Ge","year":"2021","journal-title":"Sci. Total Environ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1444","DOI":"10.1126\/science.1155121","article-title":"Forests and climate change: Forcings, feedbacks, and the climate benefits of forests","volume":"320","author":"Bonan","year":"2008","journal-title":"Science"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1038\/nature14213","article-title":"Drought impact on forest carbon dynamics and fluxes in Amazonia","volume":"519","author":"Doughty","year":"2015","journal-title":"Nature"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"887","DOI":"10.1038\/nclimate2697","article-title":"Climate sensitivity of shrub growth across the tundra biome","volume":"5","author":"Elmendorf","year":"2015","journal-title":"Nat. Clim. Chang."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"870","DOI":"10.1126\/science.278.5339.870","article-title":"The response of global terrestrial ecosystems to interannual temperature variability","volume":"278","author":"Braswell","year":"1997","journal-title":"Science"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1111\/j.1466-8238.2011.00675.x","article-title":"Extension of the growing season due to delayed autumn over mid and high latitudes in North America during 1982\u20132006","volume":"21","author":"Zhu","year":"2012","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1016\/j.agrformet.2016.08.020","article-title":"Responses of net primary productivity to phenological dynamics in the Tibetan Plateau, China","volume":"232","author":"Wang","year":"2017","journal-title":"Agric. For. Meteorol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1407","DOI":"10.1111\/gcb.12789","article-title":"Impacts of altered precipitation regimes on soil communities and biogeochemistry in arid and semi-arid ecosystems","volume":"21","author":"Nielsen","year":"2015","journal-title":"Glob. Chang. Biol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1073\/pnas.1207068110","article-title":"Response of vegetation to drought time-scales across global land biomes","volume":"110","author":"Gouveia","year":"2013","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"044005","DOI":"10.1088\/1748-9326\/aab0b1","article-title":"Higher absorbed solar radiation partly offset the negative effects of water stress on the photosynthesis of Amazon forests during the 2015 drought","volume":"13","author":"Li","year":"2018","journal-title":"Environ. Res. Lett."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"747","DOI":"10.2307\/2401901","article-title":"Solar radiation and productivity in tropical ecosystems","volume":"9","author":"Monteith","year":"1972","journal-title":"J. Appl. Ecol."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"797","DOI":"10.1111\/j.1365-2486.2011.02624.x","article-title":"Extreme climatic events and vegetation: The role of stabilizing processes","volume":"18","author":"Lloret","year":"2012","journal-title":"Glob. Chang. Biol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1038\/nclimate3299","article-title":"Climate mitigation from vegetation biophysical feedbacks during the past three decades","volume":"7","author":"Zeng","year":"2017","journal-title":"Nat. Clim. Chang."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"2051","DOI":"10.1016\/j.scitotenv.2018.09.115","article-title":"NDVI-based vegetation dynamics and its response to climate changes at Amur-Heilongjiang River Basin from 1982 to 2015","volume":"650","author":"Chu","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.scitotenv.2019.01.028","article-title":"Impacts of Chinese Grain for Green program and climate change on vegetation in the Loess Plateau during 1982\u20132015","volume":"660","author":"Li","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1016\/j.jhydrol.2019.04.043","article-title":"Spatial heterogeneity of changes in vegetation growth and their driving forces based on satellite observations of the Yarlung Zangbo River Basin in the Tibetan Plateau","volume":"574","author":"Sun","year":"2019","journal-title":"J. Hydrol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1038\/nature16986","article-title":"Sensitivity of global terrestrial ecosystems to climate variability","volume":"531","author":"Seddon","year":"2016","journal-title":"Nature"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.scitotenv.2019.04.399","article-title":"Increasing sensitivity of alpine grasslands to climate variability along an elevational gradient on the Qinghai-Tibet Plateau","volume":"678","author":"Li","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.catena.2018.12.007","article-title":"Responses of vegetation to climatic variations in the desert region of northern China","volume":"175","author":"Zhu","year":"2019","journal-title":"CATENA"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"113768","DOI":"10.1016\/j.jenvman.2021.113768","article-title":"Interannual variability of vegetation sensitivity to climate in China","volume":"301","author":"Jiang","year":"2022","journal-title":"J. Environ. Manag."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"113330","DOI":"10.1016\/j.jenvman.2021.113330","article-title":"Assessing vegetation stability to climate variability in Central Asia","volume":"298","author":"Yuan","year":"2021","journal-title":"J. Environ. Manag."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Jiang, L., Liu, B., and Yuan, Y. (2022). Quantifying Vegetation Vulnerability to Climate Variability in China. Remote Sens., 14.","DOI":"10.3390\/rs14143491"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1038\/nclimate1634","article-title":"Global diversity of drought tolerance and grassland climate-change resilience","volume":"3","author":"Craine","year":"2013","journal-title":"Nat. Clim. Chang."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"755","DOI":"10.1038\/nclimate1906","article-title":"Effects of interannual climate variability on tropical tree cover","volume":"3","author":"Holmgren","year":"2013","journal-title":"Nat. Clim. Chang."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"11105","DOI":"10.3390\/rs70911105","article-title":"Interannual variations in growing-season NDVI and its correlation with climate variables in the southwestern karst region of China","volume":"7","author":"Hou","year":"2015","journal-title":"Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.agrformet.2018.02.015","article-title":"Spatial heterogeneity of the relationship between vegetation dynamics and climate change and their driving forces at multiple time scales in Southwest China","volume":"256","author":"Liu","year":"2018","journal-title":"Agric. For. Meteorol."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1953","DOI":"10.1111\/gcb.12193","article-title":"Spatial relationship between climatologies and changes in global vegetation activity","volume":"19","author":"Schaepman","year":"2013","journal-title":"Glob. Chang. Biol."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.rse.2006.03.011","article-title":"Changes in land surface temperatures and NDVI values over Europe between 1982 and 1999","volume":"103","author":"Julien","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"2371","DOI":"10.1080\/01431160500033682","article-title":"Geographical distribution of global greening trends and their climatic correlates: 1982\u20131998","volume":"26","author":"Xiao","year":"2005","journal-title":"Int. J. Remote Sens."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.agrformet.2016.04.009","article-title":"Seasonal and interannual changes in vegetation activity of tropical forests in Southeast Asia","volume":"224","author":"Zhang","year":"2016","journal-title":"Agric. For. Meteorol."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1560","DOI":"10.1126\/science.1082750","article-title":"Climate-driven increases in global terrestrial net primary production from 1982 to 1999","volume":"300","author":"Nemani","year":"2003","journal-title":"Science"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"4051","DOI":"10.1073\/pnas.1700299114","article-title":"Shifting plant species composition in response to climate change stabilizes grassland primary production","volume":"115","author":"Liu","year":"2018","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"2894","DOI":"10.1111\/j.1365-2486.2009.01961.x","article-title":"Contingent productivity responses to more extreme rainfall regimes across a grassland biome","volume":"15","author":"Blair","year":"2009","journal-title":"Glob. Chang. Biol."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1007\/s11442-013-1006-x","article-title":"Spatio-temporal dynamics of vegetation coverage and its relationship with climate factors in Inner Mongolia, China","volume":"23","author":"Mu","year":"2013","journal-title":"J. Geogr. Sci."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1016\/j.pce.2009.07.014","article-title":"Some recent developments in cluster analysis","volume":"35","author":"Jolliffe","year":"2010","journal-title":"Phys. Chem. Earth Parts A\/B\/C"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1006\/qres.2002.2376","article-title":"Climatic regionalization and the spatio-temporal occurrence of extreme single-year drought events (1500\u20131998) in the interior Pacific Northwest, USA","volume":"58","author":"Knapp","year":"2002","journal-title":"Quat. Res."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1007\/s00477-009-0308-0","article-title":"Regional flood frequency and spatial patterns analysis in the Pearl River Delta region using L-moments approach","volume":"24","author":"Yang","year":"2010","journal-title":"Stoch. Environ. Res. Risk Assess."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"125775","DOI":"10.1016\/j.jhydrol.2020.125775","article-title":"Hydrological effects of change in vegetation components across global catchments","volume":"595","author":"Chen","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1029\/1999WR900210","article-title":"Ecohydrology: A hydrologic perspective of climate-soil-vegetation dynamies","volume":"36","year":"2000","journal-title":"Water Resour. Res."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1093\/jpe\/rtt025","article-title":"Spatial\u2013temporal variability of terrestrial vegetation productivity in the Yangtze River Basin during 2000\u20132009","volume":"7","author":"Zhang","year":"2014","journal-title":"J. Plant Ecol."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"105724","DOI":"10.1016\/j.ecolind.2019.105724","article-title":"Distinguishing the impacts of climate change and anthropogenic factors on vegetation dynamics in the Yangtze River Basin, China","volume":"108","author":"Qu","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Cao, Y., Wang, Y., Li, G., and Fang, X. (2019). Vegetation Response to Urban Landscape Spatial Pattern Change in the Yangtze River Delta, China. Sustainability, 12.","DOI":"10.3390\/su12010068"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1016\/j.ecolind.2018.03.029","article-title":"What drives the vegetation restoration in Yangtze River basin, China: Climate change or anthropogenic factors?","volume":"90","author":"Qu","year":"2018","journal-title":"Ecol. Indic."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1061\/(ASCE)HE.1943-5584.0000770","article-title":"Response of hydrologic processes to future climate changes in the Yangtze River Basin","volume":"19","author":"Ju","year":"2014","journal-title":"J. Hydrol. Eng."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"1417","DOI":"10.1080\/01431168608948945","article-title":"Characteristics of maximum-value composite images from temporal AVHRR data","volume":"7","author":"Holben","year":"1986","journal-title":"Int. J. Remote Sens."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1038\/s41597-020-0369-y","article-title":"The first high-resolution meteorological forcing dataset for land process studies over China","volume":"7","author":"He","year":"2020","journal-title":"Sci. Data"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.agrformet.2009.08.004","article-title":"On downward shortwave and longwave radiations over high altitude regions: Observation and modeling in the Tibetan Plateau","volume":"150","author":"Yang","year":"2010","journal-title":"Agric. For. Meteorol."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"143532","DOI":"10.1016\/j.scitotenv.2020.143532","article-title":"The role of climate change and vegetation greening on the variation of terrestrial evapotranspiration in northwest China\u2019s Qilian Mountains","volume":"759","author":"Yang","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"127533","DOI":"10.1016\/j.jhydrol.2022.127533","article-title":"Variation in actual evapotranspiration and its ties to climate change and vegetation dynamics in northwest China","volume":"607","author":"Yang","year":"2022","journal-title":"J. Hydrol."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.ecolind.2018.04.033","article-title":"Spatiotemporal variation in vegetation coverage and its response to climatic factors in the Red River Basin, China","volume":"93","author":"Gu","year":"2018","journal-title":"Ecol. Indic."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"044027","DOI":"10.1088\/1748-9326\/6\/4\/044027","article-title":"Recent change of vegetation growth trend in China","volume":"6","author":"Peng","year":"2011","journal-title":"Environ. Res. Lett."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.ecolind.2014.07.031","article-title":"Spatio-temporal analysis of vegetation variation in the Yellow River Basin","volume":"51","author":"Jiang","year":"2015","journal-title":"Ecol. Indic."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"107479","DOI":"10.1016\/j.ecolind.2021.107479","article-title":"Vegetation greening in more than 94% of the Yellow River Basin (YRB) region in China during the 21st century caused jointly by warming and anthropogenic activities","volume":"125","author":"Tian","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Cui, L., Pang, B., Zhao, G., Ban, C., Ren, M., Peng, D., Zuo, D., and Zhu, Z. (2022). Assessing the Sensitivity of Vegetation Cover to Climate Change in the Yarlung Zangbo River Basin Using Machine Learning Algorithms. Remote Sens., 14.","DOI":"10.3390\/rs14071556"},{"key":"ref_68","doi-asserted-by":"crossref","unstructured":"Hosking, J., and Wallis, J. (1997). Regional Frequency Analysis, Regional Frequency Analysis, Cambridge University Press.","DOI":"10.1017\/CBO9780511529443"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.atmosres.2018.02.008","article-title":"A three-stage hybrid model for regionalization, trends and sensitivity analyses of temperature anomalies in China from 1966 to 2015","volume":"205","author":"Wu","year":"2018","journal-title":"Atmos. Res."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.jhydrol.2018.07.007","article-title":"Regionalization study of maximum daily temperature based on grid data by an objective hybrid clustering approach","volume":"564","author":"Yu","year":"2018","journal-title":"J. Hydrol."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"642","DOI":"10.1007\/s10661-020-08595-6","article-title":"Monitoring vegetation change and their potential drivers in Yangtze River Basin of China from 1982 to 2015","volume":"192","author":"Xu","year":"2020","journal-title":"Environ. Monit. Assess."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1139\/er-2012-0051","article-title":"Problems caused by the Three Gorges Dam construction in the Yangtze River basin: A review","volume":"21","author":"Li","year":"2013","journal-title":"Environ. Rev."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"107969","DOI":"10.1016\/j.agrformet.2020.107969","article-title":"Spring vegetation green-up dynamics in Central Europe based on 20-year long MODIS NDVI data","volume":"287","author":"Kern","year":"2020","journal-title":"Agric. For. Meteorol."},{"key":"ref_74","first-page":"102179","article-title":"Global analysis of time-lag and-accumulation effects of climate on vegetation growth","volume":"92","author":"Ding","year":"2020","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1007\/s11806-010-0339-1","article-title":"Spatial-temporal changes of NDVI and their relations with precipitation and temperature in Yangtze River basin from 1981 to 2001","volume":"13","author":"Zhang","year":"2010","journal-title":"Geo-Spat. Inf. Sci."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"124005","DOI":"10.1088\/1748-9326\/ab4ffc","article-title":"Increasing interannual variability of global vegetation greenness","volume":"14","author":"Chen","year":"2019","journal-title":"Environ. Res. Lett."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"258","DOI":"10.1016\/j.ecolind.2015.12.023","article-title":"The exposure, sensitivity and vulnerability of natural vegetation in China to climate thermal variability (1901\u20132013): An indicator-based approach","volume":"63","author":"Xu","year":"2016","journal-title":"Ecol. Indic."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"830","DOI":"10.1038\/s41598-020-57910-1","article-title":"Vegetation response to precipitation anomalies under different climatic and biogeographical conditions in China","volume":"10","author":"Chen","year":"2020","journal-title":"Sci. Rep."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"105569","DOI":"10.1016\/j.ecolind.2019.105569","article-title":"Elevation-dependent decline in vegetation greening rate driven by increasing dryness based on three satellite NDVI datasets on the Tibetan Plateau","volume":"107","author":"Liu","year":"2019","journal-title":"Ecol. Indic."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1016\/j.scitotenv.2016.03.223","article-title":"Vegetation dynamics and its driving forces from climate change and human activities in the Three-River Source Region, China from 1982 to 2012","volume":"563","author":"Zhang","year":"2016","journal-title":"Sci. Total Environ."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.scitotenv.2019.01.022","article-title":"Impacts of climate change and human activities on grassland vegetation variation in the Chinese Loess Plateau","volume":"660","author":"Zheng","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"536","DOI":"10.1016\/j.scitotenv.2018.10.380","article-title":"The variation of vegetation greenness and underlying mechanisms in Guangdong province of China during 2001\u20132013 based on MODIS data","volume":"653","author":"Wu","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"1353","DOI":"10.1029\/2019EF001316","article-title":"Sensitivity of global pasturelands to climate variation","volume":"7","author":"Stanimirova","year":"2019","journal-title":"Earth\u2019s Future"},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1016\/j.ecolind.2018.01.051","article-title":"Assessing the effects of grazing on variations of vegetation NPP in the Xilingol Grassland, China, using a grazing pressure index","volume":"88","author":"Chi","year":"2018","journal-title":"Ecol. Indic."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1016\/j.agrformet.2017.08.005","article-title":"Detecting and attributing vegetation changes on China\u2019s Loess Plateau","volume":"247","author":"Li","year":"2017","journal-title":"Agric. For. Meteorol."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"789","DOI":"10.1029\/2018JG004751","article-title":"Cumulative effects of climatic factors on terrestrial vegetation growth","volume":"124","author":"Wen","year":"2019","journal-title":"J. Geophys. Res. Biogeosciences"},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"3520","DOI":"10.1111\/gcb.12945","article-title":"Time-lag effects of global vegetation responses to climate change","volume":"21","author":"Wu","year":"2015","journal-title":"Global Change Biology"},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"035001","DOI":"10.1088\/1748-9326\/9\/3\/035001","article-title":"A few extreme events dominate global interannual variability in gross primary production","volume":"9","author":"Zscheischler","year":"2014","journal-title":"Environmental Research Letters"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/21\/5623\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:12:08Z","timestamp":1760145128000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/21\/5623"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,7]]},"references-count":88,"journal-issue":{"issue":"21","published-online":{"date-parts":[[2022,11]]}},"alternative-id":["rs14215623"],"URL":"https:\/\/doi.org\/10.3390\/rs14215623","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,7]]}}}