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Published on: July 24, 2016
Risk management for optimal land use planning integrating ecosystem services values: A case study in Changsha, Middle
Jie Liang1, Minzhou Zhong1, Guangming Zeng1
1College of Environmental Science and Engineering, Hunan University, Changsha 410082, PR China; Key Laboratory of Environmental Biology and Pollution Control, Hunan University, Ministry of Education, Changsha 410082, PR China.
This study introduces a novel method to optimize land investment for ecological conservation by balancing ecosystem services values (ESVs) and land-use change risks. The findings guide strategic investment allocation for improved ecological benefits and reduced uncertainty.
Area of Science:
- Ecological economics
- Environmental management
- Spatial planning
Background:
- Land-use change significantly impacts ecosystem services values (ESVs).
- Current land use decisions often lack robust integration of ESVs for future benefit and risk assessment.
- Optimizing ecological conservation investment requires balancing expected benefits against inherent uncertainties.
Purpose of the Study:
- To develop and demonstrate a method integrating ESVs to optimize land investment for ecological conservation within land use planning.
- To quantify the trade-offs between expected ecosystem service benefits and the risks associated with land-use change uncertainty.
- To guide decision-making for effective allocation of conservation investments.
Main Methods:
- Developed a method that treats ESVs as expected ecosystem service benefits and land-use change uncertainty as risk.
- Applied the method to ecological conservation planning in Changsha, considering investment allocation.
- Utilized optimization analysis to identify spatial investment strategies balancing benefit and risk.
Main Results:
- Identified that investment in Liuyang City could yield higher benefits but also carries higher risk.
- Demonstrated that shifting investment from Liuyang City to other regions can effectively reduce overall risk.
- Highlighted the importance of setting investment weight distribution limits for optimal outcomes.
Conclusions:
- The developed method effectively optimizes investment allocation to maximize expected ecosystem service benefits at a given risk level or minimize risk for a target benefit.
- Optimal spatial allocation of investment is crucial for balancing future ecosystem service benefits with land-use change uncertainties in decision-making.
- The findings provide a practical framework for land use planning and ecological conservation investment strategies.
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