{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T04:04:08Z","timestamp":1774584248659,"version":"3.50.1"},"reference-count":79,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2015,3,2]],"date-time":"2015-03-02T00:00:00Z","timestamp":1425254400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the National Key Technology R&amp;D Program","award":["Grant No. 2012BAH27B05"],"award-info":[{"award-number":["Grant No. 2012BAH27B05"]}]},{"name":"the Director Innovation Foundation of CEODE, CAS","award":["Grant No. Y2ZZ19101B"],"award-info":[{"award-number":["Grant No. Y2ZZ19101B"]}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["Grant No. 41271372"],"award-info":[{"award-number":["Grant No. 41271372"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Central Asia comprises a large fraction of the world\u2019s drylands, known to be vulnerable to climate change. We analyzed the inter-annual trends and the impact of climate variability in the vegetation greenness for Central Asia from 1982 to 2011 using GIMMS3g normalized difference vegetation index (NDVI) data. In our study, most areas showed an increasing trend during 1982\u20131991, but experienced a significantly decreasing trend for 1992\u20132011. Vegetation changes were closely coupled to climate variables (precipitation and temperature) during 1982\u20131991 and 1992\u20132011, but the response trajectories differed between these two periods. The warming trend in Central Asia initially enhanced the vegetation greenness before 1991, but the continued warming trend subsequently became a suppressant of further gains in greenness afterwards. Precipitation expanded its influence on larger vegetated areas in 1992\u20132011 when compared to 1982\u20131991. Moreover, the time-lag response of plants to rainfall tended to increase after 1992 compared to the pre-1992 period, indicating that plants might have experienced functional transformations to adapt the climate change during the study period. The impact of climate on vegetation was significantly different for the different sub-regions before and after 1992, coinciding with the collapse of the Union of Soviet Socialist Republics (USSR). It was suggested that these spatio-temporal patterns in greenness change and their relationship with climate change for some regions could be explained by the changes in the socio-economic structure resulted from the USSR collapse in late 1991. Our results clearly illustrate the combined influence of climatic\/anthropogenic contributions on vegetation growth in Central Asian drylands. Due to the USSR collapse, this region represents a unique case study of the vegetation response to climate changes under different climatic and socio-economic conditions.<\/jats:p>","DOI":"10.3390\/rs70302449","type":"journal-article","created":{"date-parts":[[2015,3,2]],"date-time":"2015-03-02T10:45:12Z","timestamp":1425293112000},"page":"2449-2470","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":115,"title":["Climate Contributions to Vegetation Variations in Central Asian Drylands: Pre- and Post-USSR Collapse"],"prefix":"10.3390","volume":"7","author":[{"given":"Yu","family":"Zhou","sequence":"first","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"University of Chinese Academy of Sciences (UCAS), No.19A Yuquan Road, Beijing 100049, China"}]},{"given":"Li","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3067-4527","authenticated-orcid":false,"given":"Rasmus","family":"Fensholt","sequence":"additional","affiliation":[{"name":"Department of Geosciences and Natural Resource Management, University of Copenhagen, \u00d8ster Voldgade 10, DK-1350 Copenhagen, Denmark"}]},{"given":"Kun","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"}]},{"given":"Irina","family":"Vitkovskaya","sequence":"additional","affiliation":[{"name":"National Centre of Space Research and Technology of the Republic of Kazakhstan, Almaty 050010, Kazakhstan"}]},{"given":"Feng","family":"Tian","sequence":"additional","affiliation":[{"name":"Department of Geosciences and Natural Resource Management, University of Copenhagen, \u00d8ster Voldgade 10, DK-1350 Copenhagen, Denmark"},{"name":"School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"}]}],"member":"1968","published-online":{"date-parts":[[2015,3,2]]},"reference":[{"key":"ref_1","unstructured":"United Nations Environment Program (UNEP) (1997). 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