Exploring the driving factors of trade-offs and synergies among ecological functional zones based on ecosystem service bundles DOI Creative Commons
Fengxian Huang, Liyuan Zuo, Jiangbo Gao

et al.

Ecological Indicators, Journal Year: 2022, Volume and Issue: 146, P. 109827 - 109827

Published: Dec. 21, 2022

In karst mountainous area, the strong spatial heterogeneity of natural geography and complexity human activities have led to significant variability uncertainty in process ecosystem services (ESs). The trade-offs/synergies ESs its driving forces change with space significantly, which are not only related environment but also affected by socioeconomic factors. Clarifying distribution compositional structure ecological functional zone understanding main factors trade-offs synergies among multiple essential for scientific management restoration ecosystems. objective this study was explore each service bundle (ESB) develop differentiated strategies based on characteristics. study, six (i.e., water yield (WY), soil conservation (SC), net primary productivity (NPP), habitat quality (HQ), recreation (RS), food production (FP)) were quantified Wujiang Basin. Based this, land use types coldspots/hotspots analyzed. Then, K-means algorithm used identify ESBs. According structural characteristics ESBs, zones divided. Furthermore, their ESB analyzed using Pearson correlation analysis geographical detector. results showed that significantly ES coldspots/hotspots. hotspots mainly concentrated forest areas, while coldspots urban farmland areas. distributions features Basin divided into supply transition cultural balance area. There synergistic relationships between SC WY NPP every zone. Precipitation interactions other influenced trade-off FP both area normalized difference vegetation index (NDVI) dominant factor pattern This deeper provides a basis territorial planning optimization

Language: Английский

Spatial-temporal heterogeneity of ecosystem service interactions and their social-ecological drivers: Implications for spatial planning and management DOI Creative Commons
Hao Xia,

Shaofeng Yuan,

Alexander V. Prishchepov

et al.

Resources Conservation and Recycling, Journal Year: 2022, Volume and Issue: 189, P. 106767 - 106767

Published: Nov. 17, 2022

Uncovering the complex interactions among ecosystem services (ESs) is a prerequisite for managing multiple ESs simultaneously. We mapped supply of six ESs, quantified their trade-offs/synergies and bundles, determined dominant social-ecological drivers, subsequently provided sustainable spatial planning management strategies at both grid sub-watershed scales. The results revealed that: (1) patterns were spatially heterogeneous, with food production decreasing most, by 14.86% (grid scale) 17% (sub-watershed scale), water increasing 22.46% 22.57% from 2000 to 2020; (2) ten ES pairs presented synergies while five related showed trade-offs scales, three scale two experiencing declined or increased trade-offs; (3) our spatial-temporal cross-scale analysis identified as an additional priority in bundles zoning basis similarities divergences drivers different scales require linkage distinct focus Thus, we integrated knowledge on into underpin across

Language: Английский

Citations

245

Exploring the heterogeneity and nonlinearity of trade-offs and synergies among ecosystem services bundles in the Beijing-Tianjin-Hebei urban agglomeration DOI
Jiashu Shen, Shuangcheng Li, Ze Liang

et al.

Ecosystem Services, Journal Year: 2020, Volume and Issue: 43, P. 101103 - 101103

Published: April 8, 2020

Language: Английский

Citations

203

Identification of ecosystem service bundles and driving factors in Beijing and its surrounding areas DOI
Tianqian Chen, Zhe Feng, Huafu Zhao

et al.

The Science of The Total Environment, Journal Year: 2019, Volume and Issue: 711, P. 134687 - 134687

Published: Nov. 22, 2019

Language: Английский

Citations

198

Uncovering the relationships between ecosystem services and social-ecological drivers at different spatial scales in the Beijing-Tianjin-Hebei region DOI
Jiashu Shen, Shuangcheng Li, Laibao Liu

et al.

Journal of Cleaner Production, Journal Year: 2020, Volume and Issue: 290, P. 125193 - 125193

Published: Nov. 19, 2020

Language: Английский

Citations

168

Stakeholder perspectives on ecosystem service supply and ecosystem service demand bundles DOI Creative Commons
Brenda Maria Zoderer, Erich Tasser, Steve Carver

et al.

Ecosystem Services, Journal Year: 2019, Volume and Issue: 37, P. 100938 - 100938

Published: May 16, 2019

Recent developments in Ecosystem Service (ES) research show a growing interest the concept of ES bundles for informing effective management landscapes. While supply was biophysically assessed, there has been little about perception bundles, neither terms their supply, nor demand. This investigates how various stakeholders perceive delivery across different landscapes and this differs from demand they request. A questionnaire survey (n = 858) carried out on basis landscape photographs with local farmers, inhabitants, visitors region South Tyrol Central Alps. The results that stakeholder groups identify identical (i.e. experiential service, life maintenance agroservice bundle) associate each similar set types. Stakeholders, however, differ expressed bundles. These findings suggest experience (spatial) mismatches between ES, potentially leading to conflicts management. study concludes by discussing these potential context future land use decisions.

Language: Английский

Citations

148

Identifying and analyzing ecosystem service bundles and their socioecological drivers in the Three Gorges Reservoir Area DOI
Mengmeng Gou, Le Li, Shuai Ouyang

et al.

Journal of Cleaner Production, Journal Year: 2021, Volume and Issue: 307, P. 127208 - 127208

Published: May 3, 2021

Language: Английский

Citations

120

Understanding the spatial relationships and drivers of ecosystem service supply-demand mismatches towards spatially-targeted management of social-ecological system DOI
Jiashu Shen, Shuangcheng Li, Huan Wang

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 406, P. 136882 - 136882

Published: March 31, 2023

Language: Английский

Citations

99

Spatiotemporal heterogeneity of ecosystem service interactions and their drivers at different spatial scales in the Yellow River Basin DOI
Qi Liu, Jiajun Qiao, Mengjuan Li

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 908, P. 168486 - 168486

Published: Nov. 10, 2023

Language: Английский

Citations

83

Spatiotemporal characteristics and drivers of ecosystem service interactions in the Dongting Lake Basin DOI

Lige Yuan,

Mingming Geng, Feng Li

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 926, P. 172012 - 172012

Published: March 28, 2024

Language: Английский

Citations

23

The impact of large-scale ecological restoration projects on trade-offs/synergies and clusters of ecosystem services DOI
Feinan Lyu, Jinqi Tang, Aruhan Olhnuud

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 365, P. 121591 - 121591

Published: June 27, 2024

Language: Английский

Citations

17