文献类型：期刊文献

英文题名：Spatio-Temporal Heterogeneity of Ecological Quality in a Typical Dryland of Northern China Driven by Climate Change and Human Activities

作者：Li, Shuai[1,2] Gao, Junliang[2] Guo, Pu[3] Zhang, Ge[2] Ren, Yu[4] Lu, Qi[1] Bai, Qinwen[2] Lu, Jiahua[2]

第一作者：李帅

通信作者：Lu, Q[1]

机构：[1]Chinese Acad Forestry, Inst Desertificat Studies, Inst Ecol Conservat & Restorat, Beijing 100091, Peoples R China;[2]Chinese Acad Forestry, Expt Ctr Desert Forestry, Inner Mongolia Dengkou Desert Ecosyst Natl Observa, Dengkou 015200, Peoples R China;[3]Natl Nat Hist Museum China, Beijing 100050, Peoples R China;[4]Ordos Vocat Coll Ecol Environm, Ordos 017010, Peoples R China

年份：2024

卷号：13

期号：23

外文期刊名：PLANTS-BASEL

收录：;Scopus(收录号：2-s2.0-85211761683);WOS:【SCI-EXPANDED(收录号:WOS:001376170000001)】；

基金：This research was funded by the National Key Research and Development Program of China (grant number 2022YFF1303202) and the Science and Technology Major Special Project of Ordos (grant number 2022EEDSKJZDZX020).

语种：英文

外文关键词：remote sensing ecological index; ecological quality; dryland; spatio-temporal change; hurst exponent; multiple residual regression analysis

摘要：With the intensification of climate change and anthropogenic impacts, the ecological environment in drylands faces serious challenges, underscoring the necessity for regionally adapted ecological quality evaluation. This study evaluates the suitability of the original Remote Sensing Ecological Index (oRSEI), modified RSEI (mRSEI), and adapted RSEI (aRSEI) in a typical dryland region of northern China. Spatio-temporal changes in ecological quality from 2000 to 2022 were analyzed using Theil-Sen median trend analysis, the Mann-Kendall test, and the Hurst exponent. Multiple regression residual analysis quantified the relative contributions of climate change and human activities to ecological quality changes. Results showed that (1) the aRSEI was the most suitable index for the study area; (2) observed changes exhibited significant spatial heterogeneity, with improvements generally in the inner areas of the Yellow River and declines in the outer areas; and (3) changes in ecological quality were primarily driven by climate change and human activities, with human activities dominating from 2000 to 2011 and the influence of climate change increasing from 2012 to 2022. This study compares the efficacy of RSEIs in evaluating dryland ecological quality, identifies spatio-temporal change patterns, and elucidates driving mechanisms, offering scientific evidence and policy recommendations for targeted conservation and restoration measures to address future changes in dryland regions.