Spatial–Temporal Evolution and Correlation Analysis of Human Activity Intensity and Resource Carrying Capacity in the Region around Poyang Lake, China, from 2010 to 2020

Yongbin Tan, Nan Hu, Minting Huang, Yuting Xiao, Jie Shan and Dajun Li ()
Additional contact information
Yongbin Tan: Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake, Ministry of Natural Resources, Nanchang 330013, China
Nan Hu: School of Surveying, Mapping and Spatial Information Engineering, East China University of Technology, Nanchang 330013, China
Minting Huang: China Railway Water Conservancy & Hydropower Planning and Design Group Co., Ltd., Nanchang 330013, China
Yuting Xiao: School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan 430070, China
Jie Shan: Institute of Agricultural Information, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
Dajun Li: Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake, Ministry of Natural Resources, Nanchang 330013, China

Land, 2023, vol. 12, issue 12, 1-15

Abstract: To explore the influence of human activities on natural resources and the correlation between these two characteristics, taking the region around Poyang Lake in China as the research area. Utilizing data from 2010, 2013, 2015, 2017, and 2020, including remote sensing, gross domestic product (GDP), and population density data, the human activity intensity (HAI) and resource carrying capacity (RCC) were calculated using relevant models. Analyzing the dynamic change characteristics, the temporal and spatial correlations, and the interaction between the two aspects, bivariate spatial autocorrelation and other methods were used. The results show that: (1) from 2010 to 2020, there was a significant increasing trend in the HAI, while the RCC remained at a generally stable level. (2) In both the temporal and spatial dimensions, there was a certain positive correlation between the HAI and RCC. Their interaction, however, is primarily based on the intrinsic resources and human activity factors within each region, with limited observable factor flow between regions. (3) Regions with the medium level of HAI have greater development potential. The results are expected to enrich the research on human activities and natural resources in the region around Poyang Lake in China and provide a reference for relevant planning.

Keywords: human activity; resource carrying capacity; double variable spatial autocorrelation; Poyang Lake (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2073-445X/12/12/2139/pdf (application/pdf)
https://www.mdpi.com/2073-445X/12/12/2139/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:12:y:2023:i:12:p:2139-:d:1295035

Access Statistics for this article

Land is currently edited by Ms. Carol Ma

More articles in Land from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().