Integrating ecosystem service trade-offs and bundles for ecological zoning and management optimization: A case study of the Danjiangkou reservoir area, China
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View abstract on PubMed
Summary
This summary is machine-generated.This study introduces an integrated framework for ecological zoning in reservoir ecosystems, revealing shifts from ecosystem service trade-offs to synergy and identifying key management zones for improved ecological governance.
Area Of Science
- Environmental Science
- Ecosystem Management
- Spatial Planning
Background
- Reservoir ecosystems face significant threats from ecological degradation and land-use conflicts.
- Effective management strategies are crucial for maintaining the health and function of these vital water resources.
- Ecological functional zoning is a key tool for guiding sustainable land and water management.
Purpose Of The Study
- To develop and apply an integrated framework for ecological functional zoning in the Danjiangkou Reservoir Area.
- To evaluate ecosystem services (ESs), analyze trade-offs and synergies, and identify ecosystem service bundles.
- To support differentiated and adaptive ecosystem management strategies in reservoir regions.
Main Methods
- Assessment of six ecosystem services (ESs) from 2010 to 2023.
- Analysis of spatial heterogeneity, temporal trends, and interactions (trade-offs and synergies) among ESs.
- Application of cluster analysis to identify ecosystem service bundles and delineate functional zones.
Main Results
- Water- and climate-related ecosystem services showed rising trends with spatial heterogeneity.
- Ecosystem service interactions evolved from trade-off dominance to synergy over time.
- Four stable ecosystem service bundles were identified post-2015, leading to the delineation of four distinct functional zones.
Conclusions
- The proposed integrated framework effectively supports ecological functional zoning in reservoir areas.
- The identified functional zones provide a basis for tailored, adaptive ecosystem management.
- This approach offers a transferable tool for ecological zoning and governance in data-rich reservoir watersheds.
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