{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T18:28:56Z","timestamp":1773944936181,"version":"3.50.1"},"reference-count":61,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2022,4,22]],"date-time":"2022-04-22T00:00:00Z","timestamp":1650585600000},"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":["42005142"],"award-info":[{"award-number":["42005142"]}],"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>Understanding the responses of vegetation to climate extremes is important for revealing vegetation growth and guiding environmental management. Guangxi was selected as a case region in this study. This study investigated the spatial-temporal variations of the Normalized Difference Vegetation Index (NDVI), and quantitatively explored effects of climate extremes on vegetation on multiple time scales during 1982\u20132015 by applying the Pearson correlation and time-lag analyses. The annual NDVI significantly increased in most areas with a regional average rate of 0.00144 year\u22121, and the highest greening rate appeared in spring. On an annual scale, the strengthened vegetation activity was positively correlated with the increased temperature indices, whereas on a seasonal or monthly scale, this was the case only in spring and summer. The influence of precipitation extremes mainly occurred on a monthly scale. The vegetation was negatively correlated with both the decreased precipitation in February and the increased precipitation in summer months. Generally, the vegetation significantly responded to temperature extremes with a time lag of at least one month, whereas it responded to precipitation extremes with a time lag of two months. This study highlights the importance of accounting for vegetation-climate interactions.<\/jats:p>","DOI":"10.3390\/rs14092013","type":"journal-article","created":{"date-parts":[[2022,4,24]],"date-time":"2022-04-24T00:45:21Z","timestamp":1650761121000},"page":"2013","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Changes in Vegetation Dynamics and Relations with Extreme Climate on Multiple Time Scales in Guangxi, China"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8411-1469","authenticated-orcid":false,"given":"Leidi","family":"Wang","sequence":"first","affiliation":[{"name":"College of Agriculture, South China Agricultural University, Guangzhou 510642, China"}]},{"given":"Fei","family":"Hu","sequence":"additional","affiliation":[{"name":"College of Agriculture, South China Agricultural University, Guangzhou 510642, China"}]},{"given":"Yuchen","family":"Miao","sequence":"additional","affiliation":[{"name":"Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Melbourne, VIC 3010, Australia"}]},{"given":"Caiyue","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Agriculture, South China Agricultural University, Guangzhou 510642, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4611-3417","authenticated-orcid":false,"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Agriculture, South China Agricultural University, Guangzhou 510642, China"}]},{"given":"Mingzhu","family":"Luo","sequence":"additional","affiliation":[{"name":"College of Agriculture, South China Agricultural University, Guangzhou 510642, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,4,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1240","DOI":"10.1073\/pnas.1014425108","article-title":"Spring temperature change and its implication in the change of vegetation growth in North America from 1982 to 2006","volume":"108","author":"Wang","year":"2011","journal-title":"Proc. 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