Wetland Restoration Planning Approach Based on Interval Fuzzy Linear Programming under Uncertainty

Area of Science:

• Environmental Management
• Operations Research
• Ecological Restoration

Background:

• Wetland restoration planning faces challenges in allocating planting areas and managing costs.
• Decision-making in restoration projects is complicated by inherent uncertainties.

Purpose of the Study:

• To introduce a novel framework for wetland restoration planning using interval fuzzy linear programming (IFLP).
• To effectively manage interval and fuzzy uncertainties in restoration planning.
• To balance ecological benefits with economic costs in decision-making.

Main Methods:

• Development and application of an interval fuzzy linear programming (IFLP) framework.
• Analysis of trade-offs between ecological benefits and economic costs.
• Comparison of IFLP with traditional Integer Linear Programming (ILP) models.

Main Results:

• The IFLP framework successfully optimizes wetland restoration measures, considering ecological and economic factors.
• Optimized results demonstrate the potential for higher ecological and social benefits at optimal restoration costs.
• The IFLP model provides richer insights into ecological-economic trade-offs compared to ILP.

Conclusions:

• The developed IFLP framework offers an effective approach for planning wetland restoration projects.
• The model aids decision-makers by generating a range of viable alternatives under different credibility levels.
• This approach can assist local managers in creating satisfactory and sustainable wetland management plans.