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Multiobjective Land-Use Optimization Allocation in Eucalyptus-Introduced Regions Based on the GMDP-ACO Model

机译:基于GMDP-ACO模型的桉树介绍地区的多目标土地利用优化分配

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Large-scale artificial forests have replaced original land cover types such as arable land, garden land, evergreen broad-leaved forest, and Pinus khasya forest. In particular, the widespread introduction of Eucalyptus has caused great changes in land-use patterns and affected ecosystem service functions. How to rationally allocate land, improve the land utilization rate, and ecosystem service functions in a limited land area have become research hotspots. This paper mainly studies the land-use optimization in Lancang County, a large-scale eucalyptus-introduced region, by using the gray multiobjective dynamic programming (GMDP) model and the ant colony optimization (ACO) algorithm. The maximization of social, economic, and ecological benefits is used as the quantitative structure optimization objective in this model, while land-use suitability and spatial compactness are used as the spatial optimization rules. The results show the following: (1) The economic and ecological benefits are significantly improved after optimization compared with those of the current situation and the integrated land-use planning in Lancang County (i.e., the overall plan hereafter or the overall planning of land use by government departments). The social benefits are lower than those in the current situation and overall plan. (2) The suitability of the land-use spatial structure after optimization is improved to some extent compared with the land-use structures of the current situation and overall plan. In particular, the suitability of urban construction land is significantly improved after optimization. (3) The patch density (PD) index of each land-use type is significantly reduced after optimization. The fractal dimension (FRAC) indexes of urban construction land and natural reserves are increased compared with those in the current situation and in the overall plan. The compactness index (CI) of land use increases after optimization, and the degree of land-use fragmentation is improved significantly. (4) Land transfer is greater for arable land, garden land, forests, and natural reserves after optimization. Compared with the overall plan, more high-quality arable land and forest resources may be protected. In conclusion, optimized land use is conducive to promoting the rational use of land resources, socioeconomic development, and environmental protection in eucalyptus-introduced regions.
机译:大型人工林已经取代了原始的土地覆盖类型,如耕地,园林,常绿阔叶林和松树·卡西亚森林。特别是,桉树的普遍引入引起了土地利用模式的巨大变化和影响的生态系统服务功能。如何合理地分配土地,改善土地利用率,在有限的土地面积中的生态系统服务功能已成为研究热点。本文主要研究澜沧县的土地利用优化,通过使用灰色多目标动态规划(GMDP)模型和蚁群优化(ACO)算法来研究大型桉树引入区域。社会,经济和生态效益的最大化被用作该模型中的定量结构优化目标,而土地使用适用性和空间紧凑性用作空间优化规则。结果表明:(1)与澜沧县的当前情况和综合土地利用规划相比,优化后经济和生态效益显着提高(即,下文的整体计划或土地使用的总体规划由政府部门)。社会福利低于当前情况和整体计划中的社会效益。 (2)与当前情况和整体计划的土地使用结构相比,在某种程度上改善了土地使用空间结构的适用性。特别是,优化后城市建设用地的适用性显着提高。 (3)优化后,每种土地使用型的贴片密度(PD)指数显着降低。与目前情况和整体计划中的人员相比,城市建设用地和自然保护区的分形维数(FRAC)指标增加。土地使用的紧凑性指数(CI)在优化后增加,土地使用程度显着提高。 (4)耕地,园林,森林和优化后天然储量的土地转移更大。与整体规划相比,可能会保护更高质量的耕地和森林资源。总之,优化的土地利用有利于促进桉树地区的土地资源,社会经济发展和环境保护的合理利用。

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