Your browser doesn't support javascript.
loading
A two-dimensional four-quadrant assessment method to explore the spatiotemporal coupling and coordination relationship of human activities and ecological environment.
Lei, Kexin; Zhang, Huaiqing; Qiu, Hanqing; Liu, Yang; Wang, Jiansen; Hu, Xingtao; Cui, Zeyu; Zheng, Dongping.
Affiliation
  • Lei K; 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.
  • Zhang H; 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. Electronic address: zhang@ifrit.ac.cn.
  • Qiu H; 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.
  • Liu Y; 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.
  • Wang J; 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.
  • Hu X; 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.
  • Cui Z; 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.
  • Zheng D; Department of Second Language Studies, University of Hawai'i at Manoa, 1890 East-West Road, Honolulu, HI, 96822, USA.
J Environ Manage ; 370: 122362, 2024 Sep 06.
Article in En | MEDLINE | ID: mdl-39243643
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 61 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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Environ Manage Year: 2024 Document type: Article Affiliation country: China Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Environ Manage Year: 2024 Document type: Article Affiliation country: China Country of publication: United kingdom