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

и другие.

Frontiers in Ecology and Evolution, Год журнала: 2024, Номер 11

Опубликована: Янв. 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

Язык: 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

и другие.

Ecological Indicators, Год журнала: 2025, Номер 171, С. 113229 - 113229

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

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

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 100, С. 105024 - 105024

Опубликована: Окт. 25, 2023

Язык: Английский

Процитировано

23

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

Xiutong Pei,

Wanyang Zhu

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 896, С. 166413 - 166413

Опубликована: Авг. 18, 2023

Язык: Английский

Процитировано

20

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

Junjun Zhu

и другие.

Journal of Cleaner Production, Год журнала: 2023, Номер 434, С. 139894 - 139894

Опубликована: Ноя. 30, 2023

Язык: Английский

Процитировано

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

и другие.

Frontiers in Ecology and Evolution, Год журнала: 2024, Номер 11

Опубликована: Янв. 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

Язык: Английский

Процитировано

9