基于NSGA-Ⅱ和GeoSOS-FLUS的喀什地区土地利用空间多目标优化

王娇娇; 尹小君; 苟贞珍; 刘陕南; 王帝盟

doi:10.13961/j.cnki.stbctb.2022.04.023

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基于NSGA-Ⅱ和GeoSOS-FLUS的喀什地区土地利用空间多目标优化

试验研究

- 基于NSGA-Ⅱ和GeoSOS-FLUS的喀什地区土地利用空间多目标优化
- Spatial Multi-objective Optimization of Land Use of Kashgar Area Based on NSGA-Ⅱ and GeoSOS-FLUS
- 水土保持通报 2022年42卷第4期页码：179-187
- 作者机构：
  
  1. 石河子大学信息科学与技术学院,新疆,石河子,832000
  2. 石河子大学兵团空间信息工程实验室,新疆,石河子,832000
- 作者简介：
- 基金信息：
  
  国家重点研发计划项目“国土资源与生态环境安全监测系统”子课题“国土资源与生态环境要素变化监测技术”（2017YFB0504203）;石河子大学国际合作项目（GJHZ201905）;兵团社科项目（20YB23）
- DOI：10.13961/j.cnki.stbctb.2022.04.023
  中图分类号： F205;TP79;F301.2
- 纸质出版：2022
- 稿件说明：
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王娇娇, 尹小君, 苟贞珍, 等. 基于NSGA-Ⅱ和GeoSOS-FLUS的喀什地区土地利用空间多目标优化[J]. 水土保持通报, 2022,42(4):179-187.

Wang Jiaojiao, Yin Xiaojun, Gou Zhenzhen, et al. Spatial Multi-objective Optimization of Land Use of Kashgar Area Based on NSGA-Ⅱ and GeoSOS-FLUS[J]. Bulletin of Soiland Water Conservation, 2022, 42(4): 179-187.
王娇娇, 尹小君, 苟贞珍, 等. 基于NSGA-Ⅱ和GeoSOS-FLUS的喀什地区土地利用空间多目标优化[J]. 水土保持通报, 2022,42(4):179-187. DOI： 10.13961/j.cnki.stbctb.2022.04.023.

Wang Jiaojiao, Yin Xiaojun, Gou Zhenzhen, et al. Spatial Multi-objective Optimization of Land Use of Kashgar Area Based on NSGA-Ⅱ and GeoSOS-FLUS[J]. Bulletin of Soiland Water Conservation, 2022, 42(4): 179-187. DOI： 10.13961/j.cnki.stbctb.2022.04.023.

摘要

[目的] 对喀什地区进行土地资源的空间优化，为该区社会和经济的可持续发展提供理论支持。[方法] 设置了粮食安全、经济效益和生态效益(固碳量、产水量和土壤侵蚀)作为算法的多目标函数，通过NSGA-Ⅱ算法能够得到较为科学的土地利用数量结构优化，再通过GeoSOS-FLUS模型根据数量结构优化结果、自然条件和经济因素模拟土地利用空间优化。最后，通过Fragstats 4软件对优化结果进行景观格局分析。[结果] ①在3种优化结果下，GDP、固碳量、粮食产量都比未优化前多，土壤侵蚀有所降低。产水量只有在生态效益优先情况下提高了。②2005—2020年，耕地、建设用地都有不同程度的增加，水域、林地和未利用地都有不同程度的减少。③通过Fragstats 4对2020年土地利用数据、经济优先、生态优先和生态经济协调发展下优化结果进行分析。相对于优化前，3种优化结果下的香浓多样性和散布与并列指数都有所提高，斑块凝聚度和景观多样性也提高了。[结论] 6种土地利用类型在景观中呈均衡化趋势分布，草地过渡型的土地利用类型有所提高。优化后的土地资源能够较好地满足喀什地区生态可持续发展，其布局更加合理，为该区未来的土地资源的配置提供辅助决策服务。

Abstract

[Objective] The spatial optimization of land resources in the Kashgar area was studied to provide theoretical support for sustainable development of the society and economy of the area.[Methods] Food security

economic benefits

and ecological benefits (carbon sequestration

water production

and soil erosion) were set as the multi-objective functions of the algorithm

and the NSGA-Ⅱ algorithm was used to obtain a reasonable optimization of the land use quantity structure. Then the GeoSOS-FLUS model was used to simulate the spatial optimization of land use according to the optimization results of quantitative structure

natural conditions and economic factors. Finally

the spatial optimization of the Kashgar area was analyzed using Fragstats 4 software for landscape pattern analysis.[Results] ① GDP

carbon sequestration

and grain production were all higher under the three optimization strategies than before optimization

and soil erosion was reduced. Water production was only increased when ecological benefits were prioritized. ② From 2005 to 2020

arable land and construction land increased to different degrees. Watershed

forest land

and unused land decreased to different degrees. ③ The optimization results for land use pattern under the economic priority

the ecological priority

and ecological-economic coordinated development

and land use data in 2020 were analyzed by Fragstats 4. Compared with the results obtained prior to optimization

Shannon diversity and dispersion and juxtaposition indices increased under all three optimization strategies

and patch cohesion and habitat diversity also increased.[Conclusion] The six land use types were distributed in the landscape in a balanced manner

and the land use type of grassland transition was increased. The optimized land resources can better meet the ecological sustainable development goals

and their layout was more reasonable

providing auxiliary decision-making services for the future allocation of land resources in Kashgar area.

关键词

Keywords

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