基于InVEST模型的乡村景观植物配置模式研究OA
Rural Landscape Plant Configuration Based on InVEST
针对传统生态系统服务综合评估及权衡模型在多目标优化中存在的问题,提出了基于多目标遗传算法改进传统模型的乡村景观植物配置方法.通过引入多目标遗传算法的参考点机制,建立生境质量—碳储量—景观美学多目标优化框架,同时进行空间约束和成本控制,最终构建了面向乡村景观的植物配置模型.结果表明:改进算法的目标函数值在200 次迭代后从 0.742 优化至0.325,相比传统算法提升了28.7%;共获得98 个有效解,比多目标粒子群优化算法多22 个;在3个试验村的实际应用中,该模型的碳储量平均达到155.9 t/ha,初期投资成本降低35.3 万元/km2.研究所提出的改进模型能够提升植物配置的生态服务功能,同时兼顾经济性,为乡村生态环境建设提供了科学的决策工具.
An improved rural landscape plant configuration method,based on a multi-objective genetic algo-rithm,is proposed to address the limitations of traditional ecosystem service assessment and trade-off models in multi-objective optimization.The developed multi-objective optimization framework integrates habitat quality,carbon storage,and landscape aesthetics by incorporating a reference-point mechanism,spatial constraints,and cost control strategies.Results indicate that the objective function value decreased from 0.742 to 0.325 after 200 iterations,repre-senting a 28.7%improvement over traditional algorithms.A total of 98 valid solutions were identified,22 more than those generated by the multi-objective particle swarm optimization algorithm.Across 3 experimental villages,the model achieved an average carbon storage of 155.9 t/ha and reduced initial investment costs by 353 000 yuan/km2.The improved model enhances the ecological service functions of plant configuration while maintaining economic feasibility,thereby providing a scientific decision-making tool for rural ecological environment planning.
石蕾;汪婷婷
安徽城市管理职业学院,安徽 合肥 230601黄山学院建筑工程学院,安徽 黄山 245001
农业科技
InVEST模型NSGA-Ⅲ乡村景观植物乡村振兴
InVEST modelNSGA-Ⅲrural landscapeplantrural revitalization
《西南林业大学学报》 2026 (4)
33-40,8
安徽省高校科学研究重点项目(自然科学)"新基建背景下基于层次分析法的高校基建项目管理模式研究"(2024AH050027)、安徽省高校科学研究重点项目(哲学社会科学)"后疫情视角下的韧性社区建设管理提升策略研究"(2023AH051488)、安徽省高校科学研究重点项目(人文社会科学)"基于空间叙事理论的徽州传统村落文化空间基因修补与数字化再生"(2024AH053273)资助.
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