A new perspective for enhancing social and ecological systems coordination in ecological restoration

Abstract Background Ecosystem services (ESs) are fundamental to ensuring human well-being and sustainable development. However, the complex nonlinear relationships between ESs and social systems are still not fully recognized at present. Here, we used a comprehensive indicator framework, a coupling coordination degree (CCD) model, and a GeoDetector model to measure the CCD and development level of ESs and social systems in Sanmenxia City, Henan Province, China from 2000 to 2020, analyze the spatial patterns and temporal variations of their development, and quantify the influence of 15 factors on the spatial heterogeneity of their CCD. Results We observed that the increase of social system development level in Sanmenxia City was higher than that of ESs’ provisioning capacity. From 2000 to 2020, the ecosystem service index value of Sanmenxia City increased by about 25%, while the level of social system development increased by 118.9%. The coordination between ESs and social systems improved by 25%, indicating that their relationships were shifting from trade-offs to synergies. Lushi County (one of the six administrative regions of Sanmenxia City) had the highest level of CCD, but the overall coordination remained relatively weak in Sanmenxia City, and none of the six administrative regions achieved a high level of coordination. CCD was influenced by multiple interacting factors, with topography and land use patterns being the primary drivers. Conclusions Optimizing the spatial layout of ecological space, agricultural space, and urban space based on natural geographic patterns can be an effective way to improve CCD. Accordingly, we identified the impacts of potential barriers on sustainable development and provided multiple possible effective actions. Our findings deepen the knowledge and understanding of the “human-nature relationships”, which are of great significance in promoting the synergistic development of social and ecological systems.

Authors

Institutions

Publication Details

Journal
Ecological Processes
Published
2025-02-21
DOI
https://doi.org/10.1186/s13717-025-00588-y
Citations
2
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
2.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A new perspective for enhancing social and ecological systems coordination in ecological restoration

Tao Liang, Guangjin Zhou, Yiming Su, Yizhong Huan et al.
2 citations
Ecological Processes
Land Use and Ecosystem Services
2.21
article

A new perspective for enhancing social and ecological systems coordination in ecological restoration

Tao Liang, Guangjin Zhou, Yiming Su, Yizhong Huan, Riqi Zhang, Jixi Gao, Lingqing Wang, Siqi Zhang, Zixiao Yang
article en
2 citations

Abstract

Abstract Background Ecosystem services (ESs) are fundamental to ensuring human well-being and sustainable development. However, the complex nonlinear relationships between ESs and social systems are still not fully recognized at present. Here, we used a comprehensive indicator framework, a coupling coordination degree (CCD) model, and a GeoDetector model to measure the CCD and development level of ESs and social systems in Sanmenxia City, Henan Province, China from 2000 to 2020, analyze the spatial patterns and temporal variations of their development, and quantify the influence of 15 factors on the spatial heterogeneity of their CCD. Results We observed that the increase of social system development level in Sanmenxia City was higher than that of ESs’ provisioning capacity. From 2000 to 2020, the ecosystem service index value of Sanmenxia City increased by about 25%, while the level of social system development increased by 118.9%. The coordination between ESs and social systems improved by 25%, indicating that their relationships were shifting from trade-offs to synergies. Lushi County (one of the six administrative regions of Sanmenxia City) had the highest level of CCD, but the overall coordination remained relatively weak in Sanmenxia City, and none of the six administrative regions achieved a high level of coordination. CCD was influenced by multiple interacting factors, with topography and land use patterns being the primary drivers. Conclusions Optimizing the spatial layout of ecological space, agricultural space, and urban space based on natural geographic patterns can be an effective way to improve CCD. Accordingly, we identified the impacts of potential barriers on sustainable development and provided multiple possible effective actions. Our findings deepen the knowledge and understanding of the “human-nature relationships”, which are of great significance in promoting the synergistic development of social and ecological systems.

Ecological ProcessesVol. 14(1)
China Foreign Affairs University (CN), Chinese Academy of Sciences (CN), Ministry of Ecology and Environment (CN), Beijing Normal University (CN), Satellite Application Center for Ecology and Environment (CN), Institute of Geographic Sciences and Natural Resources Research (CN), University of Chinese Academy of Sciences (CN), Imperial College London (GB), China Agricultural University (CN), Tsinghua University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 15%
Land Use and Ecosystem Services
2.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.