基于GEE的干旱区生态环境质量评估与驱动机制OA

Monitoring habitat quality in Northern Slope Economic Belt of the Tianshan Mountains serves holds significant scientific value for balancing regional conservation and sustainable development.Based on the Google Earth Engine(GEE)platform,this study integrates Landsat satellite imagery from 1996 to 2023 and constructs the Remote Sensing Ecological Index(RSEI)using principal component analysis to systematically reveal the spatiotemporal variations of the ecological environment.The Sen's slope estima-tor and the Mann-Kendall(MK)test were employed to analyze habitat quality trends,while the Hurst in-dex was used to predict future changes.Additionally,the geographical detector method was applied to quantify the contribution of driving factors.The results indicate that:1)From 1996 to 2023,the regional ec-ological quality exhibited a significant declining trend,with an average annual decline rate of 0.9×10-3.Spatial heterogeneity was evident:core oasis areas such as Tacheng,Shuanghe and Shihezi showed localized improvements,with RSEI increasing by 0.02-0.10,whereas ecologically fragile areas such as Hoboksar Mongol Autonomous County and Alashankou experienced continuous degradation,with RSEI decreasing by 0.02-0.16.2)Trend analysis revealed that degraded areas accounted for 50.93%(P＜0.05)of the re-gion,while improvement areas only constituted 3.05%.The Hurst index prediction suggested that 83.61%of the region is likely to experience continued degradation in the future.However,integrated assessment using Sen's slope estimator and Hurst exponent reveals that 42.27%of the region demonstrates potential for ecological improvement,indicating overall restorative capacity in the ecosystem.3)Geographical detec-tor analysis identified land use change(q=0.48)as the primary driving factor.Specifically,urban expan-sion contributed to habitat degradation by increasing landscape fragmentation,while forest and grassland expansion intensified water resource competition,leading to an average annual RSEI decline of 3.40×10-2 and 1.63×10-1,respectively.In contrast,agricultural land management significantly contributed to habitat quality improvement,with an annual increase rate of 1.17.