Li Shuai, Gao Junliang, Guo Pu, Zhang Ge, Ren Yu, Lu Qi, Bai Qinwen, Lu Jiahua
Institute of Desertification Studies, Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China.
Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou 015200, China.
Plants (Basel). 2024 Nov 28;13(23):3341. doi: 10.3390/plants13233341.
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.
随着气候变化和人为影响的加剧，干旱地区的生态环境面临严峻挑战，这凸显了进行区域适应性生态质量评估的必要性。本研究评估了原始遥感生态指数（oRSEI）、改进型遥感生态指数（mRSEI）和适应性遥感生态指数（aRSEI）在中国北方典型干旱地区的适用性。利用泰尔-森中位数趋势分析、曼-肯德尔检验和赫斯特指数分析了2000年至2022年生态质量的时空变化。多元回归残差分析量化了气候变化和人类活动对生态质量变化的相对贡献。结果表明：（1）aRSEI是研究区域最适宜的指数；（2）观测到的变化呈现出显著的空间异质性，黄河内部区域总体改善，外部区域下降；（3）生态质量变化主要由气候变化和人类活动驱动，2000年至2011年人类活动起主导作用，2012年至2022年气候变化的影响增加。本研究比较了遥感生态指数在评估干旱地区生态质量方面的有效性，识别了时空变化模式，阐明了驱动机制，为应对干旱地区未来变化的针对性保护和恢复措施提供了科学依据和政策建议。
