College of Environment and Planning, Henan University, Kaifeng 475004, China.
Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Henan University, Kaifeng 475004, China.
Int J Environ Res Public Health. 2020 Jul 14;17(14):5075. doi: 10.3390/ijerph17145075.
Quantitative assessment can scientifically determine the health status of a regional ecosystem, identify regional eco-environmental problems, and assist in promoting regional sustainable development and environmental management. Taking China's important ecological function region, the Yellow River affected area as an example, this study constructed an extended evaluation index system based on the pressure-state-response framework, and remote sensing and GIS techniques were used to dynamically evaluate the spatial and temporal characteristics of ecosystem health in the study area. Furthermore, influencing factors on ecosystem health in the study area were extensively analyzed using the GeoDetector model. The results show that the ecosystem health level in the study area shows significant spatial heterogeneity from 1995-2015, and showed a fluctuating change process. Areas with large fluctuations in health level were mainly distributed in extreme climate areas, ecologically fragile areas, on plains and in hilly areas. Spatial differences of ecosystem health were well explained by using the biological abundance index, relief degree of land surface, soil type, annual average precipitation, elevation, annual average temperature, and population density. Influencing factors have significant interactive effects on ecosystem health.
定量评估可以科学地确定区域生态系统的健康状况,识别区域生态环境问题,有助于促进区域可持续发展和环境管理。以中国重要的生态功能区——黄河流域为例,本研究基于压力-状态-响应框架构建了扩展评价指标体系,并利用遥感和 GIS 技术动态评估了研究区生态系统健康的时空特征。此外,还利用 GeoDetector 模型广泛分析了研究区生态系统健康的影响因素。结果表明,1995-2015 年研究区的生态系统健康水平表现出显著的空间异质性,呈现出波动变化的过程。健康水平波动较大的区域主要分布在极端气候区、生态脆弱区、平原区和丘陵区。利用生物丰度指数、地表起伏度、土壤类型、年平均降水量、海拔、年平均气温和人口密度可以很好地解释生态系统健康的空间差异。影响因素对生态系统健康具有显著的交互作用。