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基于遥感生态指数的内蒙古生态环境质量时空演变及生态管理分区

[Spatiotemporal Evolution of Ecological Environment Quality and Ecological Management Zoning in Inner Mongolia Based on RSEI].

作者信息

Zhao Na, Wang Bing, Wang Zi-Hao, Zhang Qiu-Liang

机构信息

College of Forestry, Inner Mongolia Agricultural University, Hohhot 010019, China.

Forest Ecosystem National Observation and Research Station of Greater Khingan Mountains in Inner Mongolia, Genhe 022350, China.

出版信息

Huan Jing Ke Xue. 2025 Jul 8;46(7):4499-4509. doi: 10.13227/j.hjkx.202405303.

Abstract

Inner Mongolia serves as a crucial ecological security barrier for northern China. Examining the spatial and temporal evolution of ecological environment quality, along with the zoning for ecological management, is crucial for enhancing the management and development of ecological environments. Based on the Google Earth Engine cloud platform, four indicators-heat, greenness, dryness, and wetness-were extracted from MODIS remote sensing image data spanning 2000 to 2023. The remote sensing ecological index (RESI) model was constructed using principal component analysis. By combining the coefficient of variation (CV), Sen + Mann-Kendall, and Hurst indices, the spatial and temporal variations and future trends of ecological environmental quality of the Inner Mongolia were analyzed. The influencing mechanisms were explored using a geographical detector, and the quadrant method was employed for ecological management zoning based on the intensity of human activities and the quality of the ecological environment. The results indicated that: ① The ecological environment quality of Inner Mongolia from 2000 to 2023 was mainly characterized as poor to average, with a spatial trend of decreasing quality from east to west. From 2000 to 2005, Inner Mongolia experienced environmental degradation, followed by a gradual improvement in ecological environment quality. ② Inner Mongolia exhibited the largest area of non-significantly improved and non-significantly degraded regions, and the overall environmental quality was more stable. However, ecosystems in the western region were more fragile and prone to fluctuations. The area of sustained degradation versus sustained improvement in the future trend of change was larger, and the western region is expected to be the main area of improvement in the future. ③ The results of single-factor detection showed that the influences on RSEI values were, in descending order, precipitation, soil type, land use type, air temperature, vegetation type, elevation, population density, GDP, and nighttime lighting; the interactions among driving factors on RSEI changes showed a bivariate or nonlinear enhancement, which suggests that the interactions of each driving factor could improve the explanatory power of spatial variations in ecological environment quality. ④ Based on the coupling of human activity intensity and ecological environment quality, the 12 league cities of Inner Mongolia were divided into ecological development coordination zones, ecological development reserves, and ecological development risk zones. This study can provide a scientific basis for ecological environmental protection and sustainable development in Inner Mongolia.

摘要

内蒙古是中国北方重要的生态安全屏障。研究生态环境质量的时空演变以及生态管理分区,对于加强生态环境的管理与发展至关重要。基于谷歌地球引擎云平台,从2000年至2023年的MODIS遥感影像数据中提取了热度、绿度、干燥度和湿度四个指标。利用主成分分析法构建了遥感生态指数(RESI)模型。结合变异系数(CV)、森 + 曼 - 肯德尔法和赫斯特指数,分析了内蒙古生态环境质量的时空变化及未来趋势。运用地理探测器探究影响机制,并基于人类活动强度和生态环境质量采用象限法进行生态管理分区。结果表明:①2000年至2023年内蒙古生态环境质量主要表现为较差到中等,空间上呈现出从东向西质量递减的趋势。2000年至2005年,内蒙古生态环境出现退化,随后生态环境质量逐渐改善。②内蒙古非显著改善和非显著退化区域面积最大,整体环境质量较为稳定。然而,西部地区的生态系统更为脆弱,容易出现波动。未来变化趋势中持续退化与持续改善的面积对比更大,预计西部地区将是未来主要的改善区域。③单因素检测结果表明,对遥感生态指数值影响程度由高到低依次为降水量、土壤类型、土地利用类型、气温、植被类型、海拔、人口密度、国内生产总值和夜间灯光;驱动因素对遥感生态指数变化的交互作用呈现双变量或非线性增强,这表明各驱动因素的交互作用能够提高生态环境质量空间变异的解释力。④基于人类活动强度与生态环境质量的耦合,将内蒙古12个盟市划分为生态发展协调区、生态发展储备区和生态发展风险区。本研究可为内蒙古生态环境保护与可持续发展提供科学依据。

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