Study on the trade-off/synergy spatiotemporal benefits of ecosystem services and its influencing factors in hilly areas of southern China DOI Creative Commons

Fenglian Tan,

Zhaoyan Lu,

Zeng Fu-sheng

et al.

Frontiers in Ecology and Evolution, Journal Year: 2024, Volume and Issue: 11

Published: Jan. 17, 2024

Introduction This study aims to investigate the factors influencing ecosystem service trade-offs/synergies (TOSs) in major agricultural production areas southern hilly region and propose optimization strategies promote sustainability areas. Methods The used a geographical detector analyze determinants trade-offs as well correlation analysis, geographically weighted regression (GWR), spatial temporal evolution of TOS relationships from 2000 2020 Hunan Province. Results results showed that comprehensive value services Province an increasing trend 2020. With heterogeneity, with high values were mainly distributed west, south, east Province, low Dongting Lake Plain Xiangzhong Hilly Basin. There was trade-off relationship between food (FP) all other services, which FP has strongest effect habitat quality (HQ). synergy HQ, water yield (WY), carbon storage (CS), soil conservation (SC) shows trend. Gross domestic product (GDP) SLOPE are dominant for strength supply Digital Elevation Model (DEM) Normalized Difference Vegetation Index (NDVI) effects among services. is determined by interactions or co-influences two rather than single component. Discussion this can provide reference basis enhancement sustainable planning landscapes

Language: Английский

Research on the spatiotemporal evolution characteristics and driving mechanisms of supply–demand risks of ecosystem services in the yellow river basin integrating the hierarchy of needs theory DOI Creative Commons

Tianlin Zhai,

Yuanbo Ma,

Longyang Huang

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113229 - 113229

Published: Feb. 1, 2025

Language: Английский

Citations

1
Understanding the effects of socio-ecological factors on trade-offs and synergies among ecosystem services to support urban sustainable management: A case study of Beijing, China DOI
Kaiping Wang,

Jingran Gao,

Chenhui Liu

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 100, P. 105024 - 105024

Published: Oct. 25, 2023

Language: Английский

Citations

23
Scenario modeling of ecosystem service trade-offs and bundles in a semi-arid valley basin DOI
Jiamin Liu,

Xiutong Pei,

Wanyang Zhu

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 896, P. 166413 - 166413

Published: Aug. 18, 2023

Language: Английский

Citations

20
Spatial drivers of ecosystem services supply-demand balances in the Nanjing metropolitan area, China DOI
Ligang Lv, Hanqiu Xu,

Junjun Zhu

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 434, P. 139894 - 139894

Published: Nov. 30, 2023

Language: Английский

Citations

20
Study on the trade-off/synergy spatiotemporal benefits of ecosystem services and its influencing factors in hilly areas of southern China DOI Creative Commons

Fenglian Tan,

Zhaoyan Lu,

Zeng Fu-sheng

et al.

Frontiers in Ecology and Evolution, Journal Year: 2024, Volume and Issue: 11

Published: Jan. 17, 2024

Introduction This study aims to investigate the factors influencing ecosystem service trade-offs/synergies (TOSs) in major agricultural production areas southern hilly region and propose optimization strategies promote sustainability areas. Methods The used a geographical detector analyze determinants trade-offs as well correlation analysis, geographically weighted regression (GWR), spatial temporal evolution of TOS relationships from 2000 2020 Hunan Province. Results results showed that comprehensive value services Province an increasing trend 2020. With heterogeneity, with high values were mainly distributed west, south, east Province, low Dongting Lake Plain Xiangzhong Hilly Basin. There was trade-off relationship between food (FP) all other services, which FP has strongest effect habitat quality (HQ). synergy HQ, water yield (WY), carbon storage (CS), soil conservation (SC) shows trend. Gross domestic product (GDP) SLOPE are dominant for strength supply Digital Elevation Model (DEM) Normalized Difference Vegetation Index (NDVI) effects among services. is determined by interactions or co-influences two rather than single component. Discussion this can provide reference basis enhancement sustainable planning landscapes

Language: Английский

Citations

9