安徽省生态系统健康时空变化及驱动因素分析

IF 5.6 Q1 ENVIRONMENTAL SCIENCES
Fanghu Sun , Yuqing Miao , Zhengqin Xiong
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引用次数: 0

摘要

了解生态系统健康的时空动态及其驱动因素对优化区域生态管理和指导有针对性的修复具有重要意义。然而,在安徽等快速城市化的内陆省份,对区域生态系统健康的研究还很有限。本研究采用VORS模型与XGBoost-SHAP框架相结合的方法,对安徽省生态系统健康状况进行了综合评价,并确定了关键驱动因素。结果表明:1990 - 2020年,生态系统服务功能(25.6%)、恢复力(6.3%)和活力(4.8%)呈下降趋势,而组织度(1.8%)略有上升。这些变化凸显了快速城市化和土地利用变化对安徽省生态系统健康的深刻影响。生态系统健康表现出明显的南高北低空间格局,与地貌类型密切相关,从1990年的0.666下降到2020年的0.633,但仍处于亚健康水平(II)。不同土地利用类型的生态系统健康程度依次为:森林、耕地、草地、水域、建设用地。在所有城市中,只有苏州、亳州、蚌埠和阜阳的生态系统健康状况有所改善,而铜陵、合肥、安庆和芜湖的生态系统健康状况下降幅度最大,共占全省生态系统健康状况下降的47%。城市化水平和地形因子(高程和坡度)是影响植被生长的关键因素。本研究系统分析了生态系统健康状况的变化,为制定合理的土地利用政策,促进可持续发展目标的实施提供了重要参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatiotemporal variations and driving factors of ecosystem health in Anhui Province, China
Understanding the spatiotemporal dynamics and driving factors of ecosystem health is essential for optimizing regional ecological management and guiding targeted restoration efforts. However, research on regional ecosystem health remains limited in rapidly urbanizing inland provinces such as Anhui. This study employed an integrated approach by combining the VORS model with the XGBoost-SHAP framework to assess ecosystem health in Anhui Province and identify its key driving factors. Results indicated that ecosystem service (25.6 %), resilience (6.3 %), and vigor (4.8 %) demonstrated declining trends between 1990 and 2020, while organization (1.8 %) showed a slight increase. These changes underscore the profound impacts of rapid urbanization and land use change on ecosystem health in Anhui Province. The ecosystem health exhibited a distinct south-high-north-low spatial pattern, strongly associated with geomorphological types, and decreased from 0.666 in 1990 to 0.633 in 2020, yet remained at a sub-health level (II). Furthermore, we found that the following order of ecosystem health across different land use types: forest > cropland > grassland > water areas > built-up land. Among all cities, only Suzhou, Bozhou, Bengbu, and Fuyang exhibited improved ecosystem health, while Tongling, Hefei, Anqing, and Wuhu suffered the largest declines, contributing collectively to 47 % of the total provincial decline. Urbanization level and topographical factors (elevation and slope) were the key factors. This study systematically analyzed the changes in ecosystem health, providing an important reference for formulating reasonable land use policies and promoting the implementation of the sustainable development goals.
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来源期刊
Environmental and Sustainability Indicators
Environmental and Sustainability Indicators Environmental Science-Environmental Science (miscellaneous)
CiteScore
7.80
自引率
2.30%
发文量
49
审稿时长
57 days
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