文献类型：期刊文献

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

作者：Lei, Kexin[1,2] Zhang, Huaiqing[1,2] Qiu, Hanqing[1,2] Liu, Yang[1,2] Wang, Jiansen[1,2] Hu, Xingtao[1,2] Cui, Zeyu[1,2] Zheng, Dongping[3]

第一作者：Lei, Kexin

通信作者：Zhang, HQ[1]

机构：[1]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[2]Natl Forestry & Grassland Adm, Key Lab Forestry Remote Sensing & Informat Syst, Beijing 100091, Peoples R China;[3]Univ Hawaii Manoa, Dept Language Studies 2, 1890 East West Rd, Honolulu, HI 96822 USA

年份：2024

卷号：370

外文期刊名：JOURNAL OF ENVIRONMENTAL MANAGEMENT

收录：;EI(收录号：20243717013656);Scopus(收录号：2-s2.0-85203147223);WOS:【SCI-EXPANDED(收录号:WOS:001313270800001)】；

基金：Funding This work was supported by the National Key Research and Devel-opment Program of China, China (No. 2022YFE0128100) and the Na-tional Natural Science Foundation of China, China (No. 32271877) .

语种：英文

外文关键词：Human activities; Eco-environment condition; Two dimensional four quadrant; Coupling coordination relationship

摘要：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 x 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.