The Spatiotemporal Correlation between Human Activity Intensity and the Evolution of Ecosystem Service Value in the Songnen Plain, China

Xinxin Guo, Yang Yang, Yi Zhang, Mohsen Kalantari, Jiali Sun, Weize Sun, Guofeng Guan and Guoming Du ()
Additional contact information
Xinxin Guo: School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China
Yang Yang: School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China
Yi Zhang: School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China
Mohsen Kalantari: School of Civil and Environmental Engineering, University of New South Wales (UNSW), Sydney NSW 2052, Australia
Jiali Sun: School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China
Weize Sun: School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China
Guofeng Guan: Natural Resources Survey Institute of Heilongjiang Province, Harbin 150030, China
Guoming Du: School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China

Land, 2024, vol. 13, issue 8, 1-25

Abstract: For the main grain-producing areas worldwide that balance multi-tasks of grain production, ecological protection, and economic development, quantitatively revealing the correlation between human activity intensity (HAI) and ecosystem service value (ESV) is conducive to formulating adapted ecological protection policies and promoting the coordinated development of the regional economy, society, and ecosystem. In this paper, we took the Songnen Plain of China as an example, employed a modified Equivalent Factor Method (integrating socio-economic data, the normalized difference vegetation index (NDVI), and land use data), and the HAI Assessment Model (based on the data of land use, night-time light, and population spatial distribution) to measure the ESV and HAI in the Songnen Plain of China for the years 1990, 1995, 2000, 2005, 2010, 2015, and 2020. We further applied the standard deviational ellipse method, the coupled coordination degree model, and the bivariate spatial autocorrelation models to reveal the spatiotemporal dynamics and correlation characteristics of ESV and HAI. The results showed the following: (1) Temporally, the ESV declined from 950.96 billion yuan in 1990 to 836.31 billion yuan in 2015, and then increased to 864.60 billion yuan in 2020, with the total loss attributed to the significant decline in the ESV of the natural ecosystem. Spatially, the ESV in the western and northeastern regions was relatively high, with a significant increase in the northeast. (2) HAI showed an upward trend from 1990 to 2020, while the high HAI levels gradually shrank after reaching the peak in 2000. Low HAI levels were mainly distributed in the northeast and southwest, aligning with the ecological space, while high HAI levels were distributed in the middle and southeast. (3) The interaction between ESV and HAI was marked by a negative correlation, transitioning from conflict to coordination. The spatial pattern of HAI and ESV showed H (HAI)-L (ESV) and L-H clustering, with H-H and L-L scattered distributions. This study contributes to providing a framework, methods, and suggestions for the sustainable planning and utilization of land and ecological protection in order to offer scientific references for the Songnen Plain, other major grain-producing areas, and related studies.

Keywords: ecosystem service value; human activity intensity; Songnen Plain China; coupling coordination degree; bivariate spatial autocorrelation (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2073-445X/13/8/1158/pdf (application/pdf)
https://www.mdpi.com/2073-445X/13/8/1158/ (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:13:y:2024:i:8:p:1158-:d:1444886

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 ().