阿勒泰地区生态环境质量时空变化及空间异质性分析

doi:10.13474/j.cnki.11-2246.2026.0914

测绘通报 ›› 2026, Vol. 0 ›› Issue (9): 95-100.doi: 10.13474/j.cnki.11-2246.2026.0914

阿勒泰地区生态环境质量时空变化及空间异质性分析

袁桂豪^1,2, 崔东^1,2, 江智诚^1,2, 侯耀^1,2, 王韦唯^1,2, 王艺诺^1,2, 郑懿轩^1,2, 巩欣^1,2, 余玉佩^1,2

1. 伊犁师范大学资源与环境学院, 新疆伊宁 835000;
2. 伊犁师范大学资源与生态研究所, 新疆伊宁 835000

收稿日期:2026-01-05 发布日期:2026-10-09
通讯作者: 崔东。E-mail:cuidongw@126.com
作者简介:袁桂豪(2002—)，男，硕士生，研究方向为生态环境遥感。E-mail:3037063486@qq.com
基金资助:
伊犁师范大学提升学科综合实力专项自科重点项目(22XKZZ01)；伊犁师范大学资源与生态研究所开放课题(2024XJPTZD016)；第三次新疆综合科学考察项目(2022xjkk0405)

Spatio-temporal variations and spatial heterogeneity of ecological environmental quality in the Altay region

Yuan Guihao^1,2, Cui Dong^1,2, Jiang Zhicheng^1,2, Hou Yao^1,2, Wang Weiwei^1,2, Wang Yinuo^1,2, Zheng Yixuan^1,2, Gong Xin^1,2, Yu Yupei^1,2

1. College of Resources and Environment, Yili Normal University, Yining 835000, China;
2. Institute of Resources and Ecology, Yili Normal University, Yining 835000, China

Received:2026-01-05 Published:2026-10-09

摘要/Abstract

摘要： [目的]针对阿勒泰地区生态环境脆弱、生态环境质量变化特征及其驱动机制尚不清晰的问题，本文以阿勒泰地区为研究对象，系统分析区域生态环境质量的时空演变及其影响因素。[方法]首先，基于GEE平台获取多期MODIS数据，采用主成分分析方法构建遥感生态指数(RSEI)，对区域生态环境质量进行综合表征。然后，结合Sen趋势分析、Mann-Kendall检验及变异系数(CV)，揭示生态环境质量的时空变化特征及稳定性。最后，引入XGBoost模型并结合SHAP可解释方法，定量识别生态环境质量的空间异质性及其主导驱动因子。[结果]结果表明：①近20年来阿勒泰地区RSEI均值整体呈波动下降趋势，生态环境质量以“差”和“较差”等级为主，空间格局表现为北部优于南部；②约67%的区域生态环境质量呈下降趋势，显著改善区域占比仅为1.2%，且87.3%的区域处于低或较低波动状态，整体稳定性较强；③蒸散发和坡度是主导生态环境空间异质性的关键因素。[结论]研究结果可为阿勒泰地区生态保护与分区治理提供科学依据。

关键词: 阿勒泰地区, GEE平台, 遥感生态指数, XGBoost模型

Abstract: [Purposes]To address the limited understanding of ecological vulnerability,spatio-temporal variations in ecological environmental quality,and their driving mechanisms in the Altay region,this study systematically investigates the spatio-temporal dynamics of ecological environmental quality and its influencing factors.[Methods]First,multi-period MODIS data were acquired from the Google Earth Engine(GEE)platform,and the remote sensing ecological index (RSEI)was constructed using principal component analysis to comprehensively characterize regional ecological environmental quality.Then,Sen's slope estimator,the Mann-Kendall test,and the coefficient of variation (CV)were applied to identify spatiotemporal trends and stability patterns.Finally,an XGBoost model combined with SHAP was employed to quantify spatial heterogeneity and determine the dominant driving factors.[Findings]The results indicate that：① The mean RSEI exhibited an overall fluctuating downward trend over the past 20 years,with ecological environmental quality mainly classified as “poor” and “relatively poor，” and a spatial pattern characterized by better conditions in the north than in the south；②Approximately 67% of the region experienced a declining trend,while only 1.2% showed significant improvement,and 87.3% of the area displayed low or relatively low variability,indicating generally high stability； ③Evapotranspiration and slope were the dominant factors governing the spatial heterogeneity of ecological environmental quality.[Conclusions]These findings provide scientific support for ecological conservation and zonal management strategies in the Altay region．

Key words: Altay region, Google Earth Engine platform, remote sensing ecological index, XGBoost model

中图分类号:

P237

袁桂豪, 崔东, 江智诚, 侯耀, 王韦唯, 王艺诺, 郑懿轩, 巩欣, 余玉佩. 阿勒泰地区生态环境质量时空变化及空间异质性分析[J]. 测绘通报, 2026, 0(9): 95-100.

Yuan Guihao, Cui Dong, Jiang Zhicheng, Hou Yao, Wang Weiwei, Wang Yinuo, Zheng Yixuan, Gong Xin, Yu Yupei. Spatio-temporal variations and spatial heterogeneity of ecological environmental quality in the Altay region[J]. Bulletin of Surveying and Mapping, 2026, 0(9): 95-100.

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阿勒泰地区生态环境质量时空变化及空间异质性分析

Spatio-temporal variations and spatial heterogeneity of ecological environmental quality in the Altay region

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