{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T00:07:49Z","timestamp":1770336469628,"version":"3.49.0"},"reference-count":83,"publisher":"MDPI AG","issue":"14","license":[{"start":{"date-parts":[[2022,7,8]],"date-time":"2022-07-08T00:00:00Z","timestamp":1657238400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42090012"],"award-info":[{"award-number":["42090012"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2016YFB0501404"],"award-info":[{"award-number":["2016YFB0501404"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2016YFA0600103"],"award-info":[{"award-number":["2016YFA0600103"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"The National Key Research and Development Program of China","award":["42090012"],"award-info":[{"award-number":["42090012"]}]},{"name":"The National Key Research and Development Program of China","award":["2016YFB0501404"],"award-info":[{"award-number":["2016YFB0501404"]}]},{"name":"The National Key Research and Development Program of China","award":["2016YFA0600103"],"award-info":[{"award-number":["2016YFA0600103"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Since the 21st century, China has experienced rapid development, and the spatial and temporal changes in vegetation cover have become increasingly significant. Southern China is a representative region for human activities, climate change, and vegetation change, but the current human understanding of the interactions between vegetation and its influencing factors is still very limited. In our study, we use NDVI as the vegetation greenness data, land cover data, temperature, precipitation, downgradient shortwave radiation, and CO2 data to investigate the interrelationship among vegetation, climate change, and human activities in southern China. The changes and their consistency were studied by trend analysis and Hurst exponent analysis. Then, the contribution of each influencing factor from 2001 to 2020 was quantified by random forest. The results showed that the vegetation in southern China showed an overall rising trend, and areas with a continuous changing trend were concentrated in the Pearl River Delta, western Guangdong, and eastern Guangdong, with a growth rate of 0.02\u223c0.04%. The vegetation in northern Guangdong did not change significantly. The main factor of NDVI spatial variation in southern China is the land-use factor, accounting for 79.4% of the variation, while climate factors produce further differences. The contributions and lagged effects of NDVI factors on different land-use types and the lagged effects of different climate factors are different and are related to the climate and vegetation background in Sourthern China. Our study is useful in estimating the contribution of NDVI change by each considered factor and formulating environmentally friendly regional development strategies and promoting human\u2013land harmony.<\/jats:p>","DOI":"10.3390\/rs14143291","type":"journal-article","created":{"date-parts":[[2022,7,11]],"date-time":"2022-07-11T00:06:21Z","timestamp":1657497981000},"page":"3291","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Changes in Vegetation Greenness and Their Influencing Factors in Southern China"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5784-5977","authenticated-orcid":false,"given":"Hao","family":"Li","sequence":"first","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geospatial Science, Beijing Normal University, Beijing 100875, China"},{"name":"Faculty of Arts and Science, Beijing Normal University At Zhuhai, Zhuhai 519087, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8641-560X","authenticated-orcid":false,"given":"Kunxi","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geospatial Science, Beijing Normal University, Beijing 100875, China"},{"name":"Faculty of Arts and Science, Beijing Normal University At Zhuhai, Zhuhai 519087, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0155-6735","authenticated-orcid":false,"given":"Xiang","family":"Zhao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geospatial Science, Beijing Normal University, Beijing 100875, China"},{"name":"Beijing Engineering Research Center for Global Land Remote Sensing Products, Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1493-4723","authenticated-orcid":false,"given":"Jiacheng","family":"Zhao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geospatial Science, Beijing Normal University, Beijing 100875, China"},{"name":"Beijing Engineering Research Center for Global Land Remote Sensing Products, Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,7,8]]},"reference":[{"key":"ref_1","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_2","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.rse.2012.01.017","article-title":"Greenness in Semi-Arid Areas across the Globe 1981\u20132007\u2014An Earth Observing Satellite Based Analysis of Trends and Drivers","volume":"121","author":"Fensholt","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1002\/hyp.6925","article-title":"CO2-induced Suppression of Transpiration Cannot Explain Increasing Runoff","volume":"22","author":"Huntington","year":"2007","journal-title":"Hydrol. Process"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1960","DOI":"10.1029\/2018JG004438","article-title":"Warming-Induced Earlier Greenup Leads to Reduced Stream Discharge in a Temperate Mixed Forest Catchment","volume":"123","author":"Kim","year":"2018","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"St\u00e9fanon, M., Drobinski, P., D\u2019Andrea, F., and de Noblet-Ducoudr\u00e9, N. (2012). Effects of Interactive Vegetation Phenology on the 2003 Summer Heat Waves. J. Geophys. Res. Atmos., 117.","DOI":"10.1029\/2012JD018187"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"522","DOI":"10.1007\/s11707-019-0806-4","article-title":"Climate Change Impact and Adaptation on Wheat Yield, Water Use and Water Use Efficiency at North Nile Delta","volume":"14","author":"Ali","year":"2020","journal-title":"Front. Earth Sci."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"108290","DOI":"10.1016\/j.ecolind.2021.108290","article-title":"Quantifying the Lagged Effects of Climate Factors on Vegetation Growth in 32 Major Cities of China","volume":"132","author":"Tang","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"eaax1396","DOI":"10.1126\/sciadv.aax1396","article-title":"Increased Atmospheric Vapor Pressure Deficit Reduces Global Vegetation Growth","volume":"5","author":"Yuan","year":"2019","journal-title":"Sci. Adv."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"954","DOI":"10.1016\/j.landusepol.2008.11.006","article-title":"Detecting the Impact of the \u201cGrain for Green\u201d Program on the Mean Annual Vegetation Cover in the Shaanxi Province, China Using SPOT-VGT NDVI Data","volume":"26","author":"Zhou","year":"2009","journal-title":"Land Use Policy"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"558","DOI":"10.1007\/s40333-017-0062-y","article-title":"Relative Importance of Climate Factors and Human Activities in Impacting Vegetation Dynamics during 2000\u20132015 in the Otindag Sandy Land, Northern China","volume":"9","author":"Ma","year":"2017","journal-title":"J. Arid. Land"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"5583","DOI":"10.1002\/joc.6172","article-title":"Normalized Difference Vegetation Index-based Assessment of Climate Change Impact on Vegetation Growth in the Humid-Arid Transition Zone in Northern China during 1982\u20132013","volume":"39","author":"Yuan","year":"2019","journal-title":"Int. J. Climatol."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Xue, J., Wang, Y., Teng, H., Wang, N., Li, D., Peng, J., Biswas, A., and Shi, Z. (2021). Dynamics of Vegetation Greenness and Its Response to Climate Change in Xinjiang over the Past Two Decades. Remote Sens., 13.","DOI":"10.3390\/rs13204063"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1683","DOI":"10.1016\/j.apenergy.2018.07.038","article-title":"Emissions and Low-Carbon Development in Guangdong-Hong Kong-Macao Greater Bay Area Cities and Their Surroundings","volume":"228","author":"Zhou","year":"2018","journal-title":"Appl. Energy"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"128909","DOI":"10.1016\/j.chemosphere.2020.128909","article-title":"Contamination and Health Risk Assessment of Heavy Metals in China\u2019s Lead-Zinc Mine Tailings: A Meta-Analysis","volume":"267","author":"Kan","year":"2021","journal-title":"Chemosphere"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1007\/s11056-010-9240-x","article-title":"Understory Plant Diversity Assessment of Eucalyptus Plantations over Three Vegetation Types in Yunnan, China","volume":"42","author":"Wang","year":"2011","journal-title":"New For."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"564","DOI":"10.1177\/0309133320979501","article-title":"The Effects of Urbanization on Vegetation Conditions in Coastal Zone of China","volume":"45","author":"Huang","year":"2021","journal-title":"Prog. Phys. Geogr. Earth Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.jenvman.2014.05.014","article-title":"Urbanization and Agricultural Land Loss in India: Comparing Satellite Estimates with Census Data","volume":"148","author":"Pandey","year":"2015","journal-title":"J. Environ. Manag."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1016\/j.landusepol.2013.12.015","article-title":"Central versus Local States: Which Matters More in Affecting China\u2019s Urban Growth?","volume":"38","author":"Zhang","year":"2014","journal-title":"Land Use Policy"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"e2019JG005336","DOI":"10.1029\/2019JG005336","article-title":"Directional Climate Trend, Intensified Intraannual Variability, and Changes in Land Cover Drive the Dynamics of Vegetation Greenness in Peri-Urban China During 2001\u20132015","volume":"125","author":"Gao","year":"2020","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Jin, Y., Zhang, H., Yan, Y., and Cong, P. (2020). A Semi-Parametric Geographically Weighted Regression Approach to Exploring Driving Factors of Fractional Vegetation Cover: A Case Study of Guangdong. Sustainability, 12.","DOI":"10.3390\/su12187512"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1111\/j.1526-100X.2008.00399.x","article-title":"Vegetation Restoration and Its Effects on Carbon Balance in Guangdong Province, China","volume":"17","author":"Peng","year":"2009","journal-title":"Restor. Ecol."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Wu, J., Liu, L., Sun, C., Su, Y., Wang, C., Yang, J., Liao, J., He, X., Li, Q., and Zhang, C. (2019). Estimating Rainfall Interception of Vegetation Canopy from MODIS Imageries in Southern China. Remote Sens., 11.","DOI":"10.3390\/rs11212468"},{"key":"ref_23","first-page":"1","article-title":"The regionalization of chinese flora","volume":"1","year":"1979","journal-title":"Plant Divers."},{"key":"ref_24","unstructured":"Takhtadzhian, A.L., Takhtadzhian, L.A., Takhtajan, A., and Crovello, T.J. (1986). Floristic Regions of the World, University of California Press."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1016\/j.ympev.2019.03.011","article-title":"Phylogenetic Delineation of Regional Biota: A Case Study of the Chinese Flora","volume":"135","author":"Ye","year":"2019","journal-title":"Mol. Phylogenetics Evol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1016\/j.tree.2005.05.011","article-title":"Using the Satellite-Derived NDVI to Assess Ecological Responses to Environmental Change","volume":"20","author":"Pettorelli","year":"2005","journal-title":"Trends Ecol. Evol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/0034-4257(95)00153-0","article-title":"Forest Classification of Southeast Asia Using NOAA AVHRR Data","volume":"54","author":"Achard","year":"1995","journal-title":"Remote Sens. Environ."},{"key":"ref_28","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_29","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.rse.2017.06.031","article-title":"Google Earth Engine: Planetary-scale Geospatial Analysis for Everyone","volume":"202","author":"Gorelick","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_30","unstructured":"Didan, K., Munoz, A.B., Solano, R., and Huete, A. (2015). MODIS Vegetation Index User\u2019s Guide (MOD13 Series), University of Arizona, Vegetation Index and Phenology Lab."},{"key":"ref_31","unstructured":"Sulla-Menashe, D., and Friedl, M.A. (2018). User Guide to Collection 6 MODIS Land Cover (MCD12Q1 and MCD12C1) Product."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"4258","DOI":"10.1007\/s11356-019-06629-2","article-title":"Drought Evolution Indicated by Meteorological and Remote-Sensing Drought Indices under Different Land Cover Types in China","volume":"27","author":"Javed","year":"2020","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"e6837493","DOI":"10.1155\/2017\/6837493","article-title":"Assessing the Impacts of the 2009\/2010 Drought on Vegetation Indices, Normalized Difference Water Index, and Land Surface Temperature in Southwestern China","volume":"2017","author":"Zhang","year":"2017","journal-title":"Adv. Meteorol."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"He, Y., Lee, E., and Warner, T.A. (2016, January 10\u201315). Continuous Annual Land Use and Land Cover Mapping Using AVHRR GIMMS NDVI3g and MODIS MCD12Q1 Datasets over China from 1982 to 2012. Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China.","DOI":"10.1109\/IGARSS.2016.7730425"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2519","DOI":"10.3390\/ijgi4042519","article-title":"Evaluation of the Consistency of MODIS Land Cover Product (MCD12Q1) Based on Chinese 30 m Globel and 30 Datasets: A Case Study in Anhui Province, China","volume":"4","author":"Liang","year":"2015","journal-title":"ISPRS Int. J.-Geo-Inf."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"170191","DOI":"10.1038\/sdata.2017.191","article-title":"TerraClimate, a High-Resolution Global Dataset of Monthly Climate and Climatic Water Balance from 1958\u20132015","volume":"5","author":"Abatzoglou","year":"2018","journal-title":"Sci. Data"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"4510","DOI":"10.1016\/j.csda.2006.07.033","article-title":"Estimation of Hurst Exponent Revisited","volume":"51","author":"Mielniczuk","year":"2007","journal-title":"Comput. Stat. Data Anal."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"595","DOI":"10.1007\/s11442-018-1493-x","article-title":"Analyzing Vegetation Dynamic Trend on the Mongolian Plateau Based on the Hurst Exponent and Influencing Factors from 1982\u20132013","volume":"28","author":"Tong","year":"2018","journal-title":"J. Geogr. Sci."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.ecolind.2011.08.011","article-title":"Trend Analysis of Vegetation Dynamics in Qinghai\u2013Tibet Plateau Using Hurst Exponent","volume":"14","author":"Peng","year":"2012","journal-title":"Ecol. Indic."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1007\/s11442-013-0996-8","article-title":"Response of Vegetation Restoration to Climate Change and Human Activities in Shaanxi-Gansu-Ningxia Region","volume":"23","author":"Li","year":"2013","journal-title":"J. Geogr. Sci."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"2423","DOI":"10.1007\/s00477-017-1492-y","article-title":"Time-Lag Effects of Vegetation Responses to Soil Moisture Evolution: A Case Study in the Xijiang Basin in South China","volume":"32","author":"Niu","year":"2018","journal-title":"Stoch. Environ. Res. Risk Assess."},{"key":"ref_42","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":"Glob. Chang. Biol."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.gloplacha.2019.03.010","article-title":"NDVI Indicated Inter-Seasonal Non-Uniform Time-Lag Responses of Terrestrial Vegetation Growth to Daily Maximum and Minimum Temperature","volume":"177","author":"Wen","year":"2019","journal-title":"Glob. Planet. Chang."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1155","DOI":"10.1007\/s11442-015-1225-4","article-title":"Changes of Annual Accumulated Temperature over Southern China during 1960\u20132011","volume":"25","author":"Dai","year":"2015","journal-title":"J. Geogr. Sci."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"111912","DOI":"10.1016\/j.rse.2020.111912","article-title":"A Generalized Approach Based on Convolutional Neural Networks for Large Area Cropland Mapping at Very High Resolution","volume":"247","author":"Zhang","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random Forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"2225","DOI":"10.1016\/j.patrec.2010.03.014","article-title":"Variable Selection Using Random Forests","volume":"31","author":"Genuer","year":"2010","journal-title":"Pattern Recognit. Lett."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Grabska, E., Hostert, P., Pflugmacher, D., and Ostapowicz, K. (2019). Forest Stand Species Mapping Using the Sentinel-2 Time Series. Remote Sens., 11.","DOI":"10.3390\/rs11101197"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Sobol, M.K., and Finkelstein, S.A. (2018). Predictive Pollen-Based Biome Modeling Using Machine Learning. PLoS ONE, 13.","DOI":"10.1371\/journal.pone.0202214"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1002\/ldr.3221","article-title":"A Significant Increase in the Normalized Difference Vegetation Index during the Rapid Economic Development in the Pearl River Delta of China","volume":"30","author":"Hu","year":"2019","journal-title":"Land Degrad. Dev."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"847","DOI":"10.1016\/j.foreco.2007.09.081","article-title":"Impacts of a Large-Scale Reforestation Program on Carbon Storage Dynamics in Guangdong, China","volume":"255","author":"Zhou","year":"2008","journal-title":"For. Ecol. Manag."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1016\/j.ecolind.2018.10.054","article-title":"Impacts of Urbanization-Induced Land-Use Changes on Ecosystem Services: A Case Study of the Pearl River Delta Metropolitan Region, China","volume":"98","author":"Liu","year":"2019","journal-title":"Ecol. Indic."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"3125","DOI":"10.1080\/01431161.2016.1194544","article-title":"Assessment of Forest Damage Caused by an Ice Storm Using Multi-Temporal Remote-Sensing Images: A Case Study from Guangdong Province","volume":"37","author":"Wu","year":"2016","journal-title":"Int. J. Remote Sens."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1038\/nature10548","article-title":"Changes in Plant Community Composition Lag behind Climate Warming in Lowland Forests","volume":"479","author":"Bertrand","year":"2011","journal-title":"Nature"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"18578","DOI":"10.1007\/s11356-021-16319-7","article-title":"A Bibliometric Review of Vegetation Response to Climate Change","volume":"29","author":"Afuye","year":"2022","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"208","DOI":"10.3724\/SP.J.1248.2013.208","article-title":"Impacts of Climate Change on Human Health and Adaptation Strategies in South China","volume":"4","author":"Hui","year":"2013","journal-title":"Adv. Clim. Chang. Res."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Wang, H., Li, Z., Cao, L., Feng, R., and Pan, Y. (2021). Response of NDVI of Natural Vegetation to Climate Changes and Drought in China. Land, 10.","DOI":"10.3390\/land10090966"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"1755","DOI":"10.1007\/s12524-021-01357-y","article-title":"NDVI-Based Analysis of the Influence of Climate Changes and Human Activities on Vegetation Variation on Hainan Island","volume":"49","author":"Luo","year":"2021","journal-title":"J. Indian Soc. Remote Sens."},{"key":"ref_59","first-page":"9","article-title":"Analysis of Temporal-Spatial Characteristics of Vegetation NPP in Guangdong Province","volume":"31","author":"Cai","year":"2009","journal-title":"J. Agric. Mech. Res."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1185","DOI":"10.1007\/s00254-007-0901-9","article-title":"Assessing Vegetation Dynamics Impacted by Climate Change in the Southwestern Karst Region of China with AVHRR NDVI and AVHRR NPP Time-Series","volume":"54","author":"Wang","year":"2008","journal-title":"Environ. Geol."},{"key":"ref_61","first-page":"679","article-title":"The Study of Plant Communities. An Introduction to Plant Ecology","volume":"22","author":"Oosting","year":"1956","journal-title":"Herb. Abstr."},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Cao, Y., Wang, Y., Li, G., and Fang, X. (2020). Vegetation Response to Urban Landscape Spatial Pattern Change in the Yangtze River Delta, China. Sustainability, 12.","DOI":"10.3390\/su12010068"},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Wu, Z., Li, Z., and Zeng, H. (2020). Using Remote Sensing Data to Study the Coupling Relationship between Urbanization and Eco-Environment Change: A Case Study in the Guangdong-Hong Kong-Macao Greater Bay Area. Sustainability, 12.","DOI":"10.3390\/su12197875"},{"key":"ref_64","first-page":"e01822","article-title":"Temporal Effects of Climate on Vegetation Trigger the Response Biases of Vegetation to Human Activities","volume":"31","author":"Liu","year":"2021","journal-title":"Glob. Ecol. Conserv."},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Ren, Y., Liu, J., Liu, S., Wang, Z., Liu, T., and Shalamzari, M.J. (2022). Effects of Climate Change on Vegetation Growth in the Yellow River Basin from 2000 to 2019. Remote Sens., 14.","DOI":"10.3390\/rs14030687"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"108146","DOI":"10.1016\/j.agrformet.2020.108146","article-title":"Attribution of Climate and Human Activities to Vegetation Change in China Using Machine Learning Techniques","volume":"294","author":"Shi","year":"2020","journal-title":"Agric. For. Meteorol."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"108620","DOI":"10.1016\/j.ecolind.2022.108620","article-title":"Growing-Season Vegetation Coverage Patterns and Driving Factors in the China-Myanmar Economic Corridor Based on Google Earth Engine and Geographic Detector","volume":"136","author":"Li","year":"2022","journal-title":"Ecol. Indic."},{"key":"ref_68","doi-asserted-by":"crossref","unstructured":"der Maarel, E.V., and Franklin, J. (2012). Vegetation Ecology, John Wiley & Sons.","DOI":"10.1002\/9781118452592"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1002\/2017EF000573","article-title":"Past and Future Effects of Climate Change on Spatially Heterogeneous Vegetation Activity in China","volume":"5","author":"Gao","year":"2017","journal-title":"Earth Future"},{"key":"ref_70","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_71","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":"1982","author":"Nemani","year":"2003","journal-title":"Science"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"455","DOI":"10.2307\/1928991","article-title":"Some Concepts of Bioecology","volume":"12","author":"Shelford","year":"1931","journal-title":"Ecology"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"1789","DOI":"10.1007\/s11676-021-01312-0","article-title":"Plant Hormesis and Shelford\u2019s Tolerance Law Curve","volume":"32","author":"Erofeeva","year":"2021","journal-title":"J. For. Res."},{"key":"ref_74","unstructured":"Hou, X.Y. (1982). Vegetational Geography and Chemical Components of Dominant Plants in China, Science Press."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"153262","DOI":"10.1016\/j.scitotenv.2022.153262","article-title":"The Negative Impact of Increasing Temperatures on Rice Yields in Southern China","volume":"820","author":"Song","year":"2022","journal-title":"Sci. Total. Environ."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"607","DOI":"10.1111\/j.1469-8137.2007.02180.x","article-title":"Predicting the Impact of Changing CO2 on Crop Yields: Some Thoughts on Food","volume":"175","author":"Ziska","year":"2007","journal-title":"New Phytol."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"1023","DOI":"10.1038\/nclimate3114","article-title":"The Increasing Importance of Atmospheric Demand for Ecosystem Water and Carbon Fluxes","volume":"6","author":"Novick","year":"2016","journal-title":"Nat. Clim. Chang."},{"key":"ref_78","doi-asserted-by":"crossref","unstructured":"Li, Y., Zhou, L., Wang, S., Chi, Y., and Chen, J. (2018). Leaf Temperature and Vapour Pressure Deficit (VPD) Driving Stomatal Conductance and Biochemical Processes of Leaf Photosynthetic Rate in a Subtropical Evergreen Coniferous Plantation. Sustainability, 10.","DOI":"10.3390\/su10114063"},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"119696","DOI":"10.1016\/j.foreco.2021.119696","article-title":"Predicting Differential Habitat Suitability of Rhodomyrtus Tomentosa under Current and Future Climate Scenarios in China","volume":"501","author":"Xie","year":"2021","journal-title":"For. Ecol. Manag."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"101003","DOI":"10.1016\/j.uclim.2021.101003","article-title":"Spatial Downscaling Method for Air Temperature through the Correlation between Land Use\/Land Cover and Microclimate: A Case Study of the Greater Tokyo Area, Japan","volume":"40","author":"Wang","year":"2021","journal-title":"Urban Clim."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"5588","DOI":"10.1111\/gcb.15865","article-title":"Vegetation Composition Modulates the Interaction of Climate Warming and Elevated Nitrogen Deposition on Nitrous Oxide Flux in a Boreal Peatland","volume":"27","author":"Gong","year":"2021","journal-title":"Glob. Chang. Biol."},{"key":"ref_82","doi-asserted-by":"crossref","unstructured":"Tong, X., Wang, K., Yue, Y., and Liao, C. (2013, January 26\u201327). Trends in Vegetation Change under Different Karst Terrain Conditions, Southwest China. Proceedings of the MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, Wuhan, China.","DOI":"10.1117\/12.2031737"},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"012004","DOI":"10.1088\/1755-1315\/504\/1\/012004","article-title":"Method of Estimating Forest Fire Impact on Vegetation","volume":"504","author":"Hilwan","year":"2020","journal-title":"IOP Conf. Ser. Earth Environ. Sci."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/14\/3291\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T23:46:41Z","timestamp":1760140001000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/14\/3291"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,8]]},"references-count":83,"journal-issue":{"issue":"14","published-online":{"date-parts":[[2022,7]]}},"alternative-id":["rs14143291"],"URL":"https:\/\/doi.org\/10.3390\/rs14143291","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,8]]}}}