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一种二维四象限评估方法,用于探索人类活动与生态环境的时空耦合协调关系。

A two-dimensional four-quadrant assessment method to explore the spatiotemporal coupling and coordination relationship of human activities and ecological environment.

机构信息

Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, 100091, China; Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing, 100091, China.

Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, 100091, China; Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing, 100091, China.

出版信息

J Environ Manage. 2024 Nov;370:122362. doi: 10.1016/j.jenvman.2024.122362. Epub 2024 Sep 7.

Abstract

Human activities that involve diverse behaviors and feature a variety of participations and collaborations usually lead to varying and dynamic impacts on the ecological environment. Quantitative analysis of the dynamic changes and complex relationships between human activities and the ecological environment (eco-environment) can provide crucial insights for ecological protecting and balance maintaining. We proposed a two-dimensional four-quadrant assessment method based on the dynamic changes in Human Activity Index (HAI) - Environmental Ecological Condition Index (EECI) to analyze the dynamic trends and coupling coordination degree (CCD) between HAI and EECI. This approach was applied in an empirical study of Hainan Province. A comprehensive HAI at a resolution of 1 km × 1 km is established to measure human activities, while an EECI is developed to evaluate ecological environment quality. The eco-environment showed continuous improvement, with the HAI initially rising and then declining. Analysis of coupling coordination revealed a ratio of 6:1 between coordinated development regions and conflict regions, indicating a gradual improvement in overall coupling coordination. The interaction between the HAI and EECI is strengthening, though variations exist across different locations. Using the geodetector method, we identified Net Primary Productivity (NPP), Land use and land cover (LULC), and Particulate Matter (PM) as the primary factors influencing changes in coupling coordination between HAI and EECI. These factors indirectly affect the stability and carrying capacity of the ecological environment. This method facilitates a quantitative examination of the dynamic relationship between HAI and EECI in different regions, offering insights into ecosystem functionality, biodiversity maintenance, and the effect of HAI on the region.

摘要

人类活动涉及多种行为,具有多种参与和协作方式,通常会对生态环境产生不同和动态的影响。定量分析人类活动与生态环境(生态环境)之间的动态变化和复杂关系,可以为生态保护和平衡维护提供重要的见解。我们提出了一种基于人类活动指数(HAI)-环境生态状况指数(EECI)动态变化的二维四象限评估方法,来分析 HAI 和 EECI 之间的动态趋势和耦合协调度(CCD)。该方法应用于海南省的实证研究。建立了一个分辨率为 1km×1km 的综合 HAI 来衡量人类活动,同时开发了一个 EECI 来评估生态环境质量。生态环境持续改善,HAI 最初上升,然后下降。耦合协调分析表明,协调发展区与冲突区的比例为 6:1,表明整体耦合协调度逐渐提高。HAI 和 EECI 之间的相互作用在加强,尽管不同地点存在差异。使用地理探测器方法,我们确定净初级生产力(NPP)、土地利用和土地覆盖(LULC)以及颗粒物(PM)是影响 HAI 和 EECI 之间耦合协调变化的主要因素。这些因素间接影响生态环境的稳定性和承载能力。该方法便于定量考察不同地区 HAI 和 EECI 之间的动态关系,深入了解生态系统功能、生物多样性维护以及 HAI 对该地区的影响。

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