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Spatiotemporal Characteristics and Driving Force of Ecosystem Health in an Important Ecological Function Region in China

机译:中国重要生态功能区生态系统健康的时空特征及其推动力

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摘要

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.
机译:定量评估可以科学地确定区域生态系统的健康状况,确定区域生态环境问题,并协助促进区域可持续发展和环境管理。以中国的重要生态功能区,黄河受影响的地区为例,该研究构建了基于压力 - 响应框架的扩展评估指标系统,遥感和GIS技术用于动态评估空间和时间特征研究区生态系统健康。此外,使用地理位置模型广泛分析研究区域生态系统健康的影响因素。结果表明,研究区的生态系统健康水平显示了1995 - 2015年的显着的空间异质性,并显示了变化的变化过程。健康水平波动的区域主要分布在极端气候区,生态脆弱地区,平原和丘陵地区。通过使用生物丰富指数,抗衰减程度,土壤型,年平均降水,海拔,年平均气温和人口密度,良好的生态系统健康的空间差异很好地解释了很好的解释。影响因素对生态系统健康有重大的互动影响。

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