耦合NSGA-Ⅲ和FLUS模型的生态脆弱农区土地利用多目标协同优化配置OA北大核心CSTPCD

Developing flexible land use optimization allocation plans based on mathematical models and scenario simulations is crucial for promoting the coordinated development of ecological,agricultural,and economic lands in ecologically fragile agricultural areas.Taking the Ulan Buh irrigation district in the Hetao irrigation area as an example,this study utilizes morphological spatial pattern analysis(MSPA)and patch importance index to identify and extract ecological source areas.Subsequently,the NSGA-Ⅲ(non-dominated sorting genetic algorithm Ⅲ)and FLUS model are coupled to formulate elastic land use optimization allocation plans for ecologically fragile agricultural areas based on four scenario simulations.Results indicate that NSGA-Ⅲ can efficiently generate a Pareto solution set with multiple objectives,outperforming the 2020 land use benefits.However,scenarios prioritizing ecological security,food production,and economic development show marginal improvements in other objective benefits.Conversely,scenarios emphasizing balanced benefits development under minimal land use change conditions exhibit higher and more balanced comprehensive benefits.When devising land use optimization allocation plans,identifying land use coordination and conflict zones based on scenario-specific optimal allocations aids in formulating flexible plans to accommodate potential changes in economic policies and environments.Overall,this study provides insights for optimizing land use plans in ecologically sensitive and fragile agricultural areas.