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According to the deficiency of long serial and high-resolution analysis of karst vegetation, this paper reconstructed the variation of vegetation landscape changes from 1987 to 2020 in a typical karst region of China. Using Landsat time series data, the dynamic changes and driving factors of natural karst vegetation were identified at the landscape scale. On the premise of considering the time-lag effect, the main climatic factors that influence vegetation growth were presented at the interannual timescale. Then, the approach of residual analysis was adopted to distinguish the dominant factors affecting vegetation growth. Results of trend analysis revealed that 21.5% of the forestland showed an overall significant decline in vegetation growth, while only 1.5% showed an increase in vegetation growth during the study period. Precipitation and radiation were the dominant meteorological factors influencing vegetation at the interannual timescale, as opposed to temperature. More than 70% of the natural vegetation growth was dominated by climatic factors. The area percentage of negative human impact has increased gradually since 2009 and reached 18.5% in 2020, indicating the currently serious situation of vegetation protection; fortunately, in recent years, human disturbances on vegetation have been mitigated in karst areas with the promotion of ecological conservation and restoration projects.<\/jats:p>","DOI":"10.3390\/rs14215391","type":"journal-article","created":{"date-parts":[[2022,10,27]],"date-time":"2022-10-27T22:36:17Z","timestamp":1666910177000},"page":"5391","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Vegetation Landscape Changes and Driving Factors of Typical Karst Region in the Anthropocene"],"prefix":"10.3390","volume":"14","author":[{"given":"Mingzhao","family":"Yu","sequence":"first","affiliation":[{"name":"State Key Laboratory of Urban and Regional Ecology, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China"},{"name":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100149, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0143-7709","authenticated-orcid":false,"given":"Shuai","family":"Song","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Urban and Regional Ecology, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China"},{"name":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100149, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0584-4806","authenticated-orcid":false,"given":"Guizhen","family":"He","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Urban and Regional Ecology, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China"},{"name":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100149, China"}]},{"given":"Yajuan","family":"Shi","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Urban and Regional Ecology, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China"},{"name":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100149, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,10,27]]},"reference":[{"key":"ref_1","unstructured":"(2020, January 3\u20136). Economic and Social Council. Report of the Inter-Agency and Expert Group on Sustainable Development Goal Indicators. Proceedings of the Statistical Commission Fifty-First Session, New York, NY, USA."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"452","DOI":"10.1016\/j.scitotenv.2019.03.155","article-title":"Relationship between ecological condition and ecosystem services in European rivers, lakes and coastal waters","volume":"671","author":"Grizzetti","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.rse.2006.06.018","article-title":"Land-cover change detection using multi-temporal MODIS NDVI data","volume":"105","author":"Lunetta","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1038\/ngeo905","article-title":"Terrestrial biogeochemical feedbacks in the climate system","volume":"3","author":"Arneth","year":"2010","journal-title":"Nat. Geosci."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.ecolind.2018.04.047","article-title":"Quantifying the relative impacts of climate and human activities on vegetation changes at the regional scale","volume":"93","author":"Liu","year":"2018","journal-title":"Ecol. Indic."},{"key":"ref_6","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_7","doi-asserted-by":"crossref","first-page":"5848","DOI":"10.1111\/gcb.15854","article-title":"Accelerated increase in vegetation carbon sequestration in China after 2010: A turning point resulting from climate and human interaction","volume":"27","author":"Chen","year":"2021","journal-title":"Glob. Chang. Biol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"140256","DOI":"10.1016\/j.scitotenv.2020.140256","article-title":"Spatial-temporal shifts of ecological vulnerability of Karst Mountain ecosystem-impacts of global change and anthropogenic interference","volume":"741","author":"Guo","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"639","DOI":"10.1038\/s41586-018-0411-9","article-title":"Global land change from 1982 to 2016","volume":"560","author":"Song","year":"2018","journal-title":"Nature"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"106208","DOI":"10.1016\/j.ecolind.2020.106208","article-title":"Global karst vegetation regime and its response to climate change and human activities","volume":"113","author":"Zhao","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"107648","DOI":"10.1016\/j.ecolind.2021.107648","article-title":"Impacts of climate change and anthropogenic activities on vegetation change: Evidence from typical areas in China","volume":"126","author":"Zheng","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1038\/s41893-017-0004-x","article-title":"Increased vegetation growth and carbon stock in China karst via ecological engineering","volume":"1","author":"Tong","year":"2018","journal-title":"Nat. Sustain."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"104620","DOI":"10.1016\/j.still.2020.104620","article-title":"Impact of vegetation restoration on soil properties in near-surface fissures located in karst rocky desertification regions","volume":"200","author":"Peng","year":"2020","journal-title":"Soil Tillage Res."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1177\/0309133317714246","article-title":"The application of geospatial techniques in monitoring karst vegetation recovery in southwest China: A review","volume":"41","author":"Zhang","year":"2017","journal-title":"Prog. Phys. Geogr. Earth Environ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"04014056","DOI":"10.1061\/(ASCE)HY.1943-7900.0000928","article-title":"Deriving Floodplain Topography and Vegetation Characteristics for Hydraulic Engineering Applications by Means of Terrestrial Laser Scanning","volume":"140","author":"Jalonen","year":"2014","journal-title":"J. Hydraul. Eng."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1080\/24705357.2021.1938255","article-title":"Velocity uncertainty quantification based on Riparian vegetation indices in open channels colonized by Phragmites australis","volume":"7","author":"Lama","year":"2021","journal-title":"J. Ecohydraulics"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1038\/s43017-019-0001-x","article-title":"Characteristics, drivers and feedbacks of global greening","volume":"1","author":"Piao","year":"2019","journal-title":"Nat. Rev. Earth Environ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1038\/nature01286","article-title":"A globally coherent fingerprint of climate change impacts across natural systems","volume":"421","author":"Parmesan","year":"2003","journal-title":"Nature"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.agrformet.2015.05.002","article-title":"Spatiotemporal vegetation cover variations associated with climate change and ecological restoration in the Loess Plateau","volume":"209","author":"Sun","year":"2015","journal-title":"Agric. For. Meteorol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1007\/s11434-008-0115-x","article-title":"Spatiotemporal vegetation cover variations in the Qinghai-Tibet Plateau under global climate change","volume":"53","author":"Xu","year":"2008","journal-title":"Sci. Bull."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1016\/j.ecoleng.2017.12.030","article-title":"The risk to lose ecosystem services due to climate change: A South American case","volume":"130","author":"Asmus","year":"2019","journal-title":"Ecol. Eng."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1038\/nature06444","article-title":"Net carbon dioxide losses of northern ecosystems in response to autumn warming","volume":"451","author":"Piao","year":"2008","journal-title":"Nature"},{"key":"ref_23","first-page":"1185","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":"2007","journal-title":"Environ. Earth Sci."},{"key":"ref_24","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":"2019","journal-title":"Ecol. Indic."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.ecolmodel.2014.10.037","article-title":"Estimation of potential evapotranspiration from extraterrestrial radiation, air temperature and humidity to assess future climate change effects on the vegetation of the Northern Great Plains, USA","volume":"297","author":"King","year":"2015","journal-title":"Ecol. Model."},{"key":"ref_26","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_27","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_28","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_29","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_30","doi-asserted-by":"crossref","unstructured":"Sun, Q., Liu, C., Chen, T., and Zhang, A. (2021). A Weighted-Time-Lag Method to Detect Lag Vegetation Response to Climate Variation: A Case Study in Loess Plateau, China, 1982\u20132013. Remote Sens., 13.","DOI":"10.3390\/rs13050923"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"105349","DOI":"10.1016\/j.catena.2021.105349","article-title":"Exploring the multiple disturbances of karst landscape in Guilin World Heritage Site, China","volume":"203","author":"He","year":"2021","journal-title":"CATENA"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"2427","DOI":"10.1007\/s12665-012-2070-8","article-title":"Evolution of major environmental geological problems in karst areas of Southwestern China","volume":"69","author":"Guo","year":"2012","journal-title":"Environ. Earth Sci."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"106392","DOI":"10.1016\/j.ecolind.2020.106392","article-title":"Climate change weakens the positive effect of human activities on karst vegetation productivity restoration in southern China","volume":"115","author":"Wu","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"46100","DOI":"10.1007\/s11356-020-12190-0","article-title":"Impacts of land use change on ecosystem service value in Lijiang River Basin, China","volume":"28","author":"Li","year":"2021","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_35","first-page":"1073","article-title":"Scenario simulation and landscape pattern assessment of land use change based on neighborhood analysis and auto-logistic model: A case study of Lijiang River Basin","volume":"33","author":"Wang","year":"2014","journal-title":"Geogr. Res."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1029\/2018EF000890","article-title":"Satellite-Observed Major Greening and Biomass Increase in South China Karst During Recent Decade","volume":"6","author":"Brandt","year":"2018","journal-title":"Earth\u2019s Future"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1038\/s41893-019-0220-7","article-title":"China and India lead in greening of the world through land-use management","volume":"2","author":"Chen","year":"2019","journal-title":"Nat. Sustain."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"145160","DOI":"10.1016\/j.scitotenv.2021.145160","article-title":"Eco-engineering controls vegetation trends in southwest China karst","volume":"770","author":"Zhang","year":"2021","journal-title":"Sci. Total Environ."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Li, J., and Qin, Q. (2016). Identification of Factors Influencing Locations of Tree Cover Loss and Gain and Their Spatio-Temporally-Variant Importance in the Li River Basin, China. Remote Sens., 8.","DOI":"10.3390\/rs8030201"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1016\/j.catena.2017.07.003","article-title":"Policy factors impact analysis based on remote sensing data and the CLUE-S model in the Lijiang River Basin, China","volume":"158","author":"Liu","year":"2017","journal-title":"CATENA"},{"key":"ref_41","first-page":"102479","article-title":"Integrating multiple semantics data to assess the dynamic change of urban green space in Beijing, China","volume":"103","author":"Yang","year":"2021","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Dwyer, J.L., Roy, D.P., Sauer, B., Jenkerson, C.B., Zhang, H.K., and Lymburner, L. (2018). Analysis Ready Data: Enabling Analysis of the Landsat Archive. Remote Sens., 10.","DOI":"10.20944\/preprints201808.0029.v1"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Zhou, Y., Dong, J., Liu, J., Metternicht, G., Shen, W., You, N., Zhao, G., and Xiao, X. (2019). Are There Sufficient Landsat Observations for Retrospective and Continuous Monitoring of Land Cover Changes in China?. Remote Sens., 11.","DOI":"10.3390\/rs11151808"},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Latella, M., Luijendijk, A., Moreno-Rodenas, A.M., and Camporeale, C. (2021). Satellite Image Processing for the Coarse-Scale Investigation of Sandy Coastal Areas. Remote Sens., 13.","DOI":"10.3390\/rs13224613"},{"key":"ref_45","unstructured":"Mu\u00f1oz, S.J. (2022, June 01). ERA5-Land Monthly Averaged Data from 1981 to Present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). Available online: https:\/\/cds.climate.copernicus.eu\/cdsapp#!\/home."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1093\/biomet\/30.1-2.81","article-title":"A New Measure of Rank Correlation","volume":"30","author":"Kendall","year":"1938","journal-title":"Biometrika"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1016\/j.jhydrol.2007.11.009","article-title":"Trend detection in hydrologic data: The Mann\u2013Kendall trend test under the scaling hypothesis","volume":"349","author":"Hamed","year":"2008","journal-title":"J. Hydrol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1016\/j.jhydrol.2018.09.034","article-title":"Multiple Sen-innovative trend analyses and partial Mann-Kendall test","volume":"566","author":"Guclu","year":"2018","journal-title":"J. Hydrol."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"124674","DOI":"10.1016\/j.jhydrol.2020.124674","article-title":"Improved visualization for trend analysis by comparing with classical Mann-Kendall test and ITA","volume":"584","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"5018","DOI":"10.1038\/ncomms6018","article-title":"Evidence for a weakening relationship between interannual temperature variability and northern vegetation activity","volume":"5","author":"Piao","year":"2014","journal-title":"Nat. Commun."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"940","DOI":"10.1126\/science.1192666","article-title":"Drought-Induced Reduction in Global Terrestrial Net Primary Production from 2000 Through 2009","volume":"329","author":"Zhao","year":"2010","journal-title":"Science"},{"key":"ref_52","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_53","first-page":"329","article-title":"The distribution of the partial correlation coefficient","volume":"3","author":"Fisher","year":"1923","journal-title":"Metron"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1111\/j.1467-842X.2004.00360.x","article-title":"Partial correlation and conditional correlation as measures of conditional independence","volume":"46","author":"Baba","year":"2004","journal-title":"Aust. N. Z. J. Stat."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"124687","DOI":"10.1016\/j.jhydrol.2020.124687","article-title":"Quantitative contribution of climate change and human activities to vegetation cover variations based on GA-SVM model","volume":"584","author":"Huang","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"20181926","DOI":"10.1098\/rspb.2018.1926","article-title":"Mining and biodiversity: Key issues and research needs in conservation science","volume":"285","author":"Sonter","year":"2018","journal-title":"Proc. R. Soc. B Boil. Sci."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"125322","DOI":"10.1016\/j.jhydrol.2020.125322","article-title":"Comparison of multi-source satellite data for quantifying water quality parameters in a mining environment","volume":"591","author":"Modiegi","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.resconrec.2019.104630","article-title":"Integrating remote sensing and life cycle assessment to quantify the environmental impacts of copper-silver-gold mining: A case study from Laos","volume":"154","author":"Islam","year":"2020","journal-title":"Resour. Conserv. Recycl."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.earscirev.2014.01.005","article-title":"Rocky desertification in Southwest China: Impacts, causes, and restoration","volume":"132","author":"Jiang","year":"2014","journal-title":"Earth Sci. Rev."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"28977","DOI":"10.1007\/s11356-019-06096-9","article-title":"Spatiotemporal variation and influencing factors of vegetation cover in the ecologically fragile areas of China from 2000 to 2015: A case study in Shaanxi Province","volume":"26","author":"Feng","year":"2019","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"940","DOI":"10.1016\/j.jclepro.2019.05.334","article-title":"Tempo-spatial changes and main anthropogenic influence factors of vegetation fractional coverage in a large-scale opencast coal mine area from 1992 to 2015","volume":"232","author":"Zhang","year":"2019","journal-title":"J. Clean. Prod."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"144297","DOI":"10.1016\/j.scitotenv.2020.144297","article-title":"Human activity vs. climate change: Distinguishing dominant drivers on LAI dynamics in karst region of southwest China","volume":"769","author":"Peng","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1016\/j.ecoleng.2015.04.022","article-title":"Impacts of climate change and human activities on vegetation cover in hilly southern China","volume":"81","author":"Wang","year":"2015","journal-title":"Ecol. Eng."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/21\/5391\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:04:16Z","timestamp":1760144656000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/21\/5391"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,27]]},"references-count":63,"journal-issue":{"issue":"21","published-online":{"date-parts":[[2022,11]]}},"alternative-id":["rs14215391"],"URL":"https:\/\/doi.org\/10.3390\/rs14215391","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,27]]}}}