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孟 霖,郭 杰,欧名豪,李昆鹏.基于景观安全格局的城镇建设用地扩张多情景模拟研究——以扬州市为例[J].土壤,2018,50(5):1032-1040. MENG Lin,GUO Jie,OU Minghao,Li Kunpeng.Multi-scenario Simulation of Urban Construction Land Expansion Based on Landscape Security Pattern —— A case of Yangzhou City[J].Soils,2018,50(5):1032-1040 本文二维码信息
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基于景观安全格局的城镇建设用地扩张多情景模拟研究——以扬州市为例
Multi-scenario Simulation of Urban Construction Land Expansion Based on Landscape Security Pattern —— A case of Yangzhou City
投稿时间:2018-03-21  修订日期:2018-03-31
DOI:10.13758/j.cnki.tr.2018.05.024
中文关键词:  城镇建设用地  景观安全格局  ANN-CA模型  多情景预测
Key Words:Urban construction land  Landscape security pattern  ANN-CA model  Multi-scenario simulation
基金项目:国家自然科学基金项目(71774086;71774085)、江苏高校哲学社会科学优秀创新团队项目(2015ZSTD004)和江苏省普通高校学术学位研究生创新计划项目(KYLX15_0540)资助。
作者单位E-mail
孟 霖 南京农业大学土地管理学院 465545167@qq.com 
郭 杰 南京农业大学土地管理学院  
欧名豪 南京农业大学土地管理学院 lianwuyu88@126.com 
李昆鹏 大明湖街道瞬井社区委员会  
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中文摘要:
      城镇建设用地多情景模拟有利于实现土地资源优化配置,保障区域可持续发展。本文以扬州市为例,以2005年、2013年土地利用变更数据为训练数据,借助景观安全格局与ANN-CA模型模拟城镇建设用地扩张趋势,并利用城镇建设用地转移矩阵与景观格局指数分析2013—2020年城镇建设用地模拟结果。研究结果表明:①不同情景下的城镇建设用地模拟扩张占用其他景观规模不同,但均占用农村居民点规模最多,其中,惯性发展情景下,模拟新增城镇建设用地以布局在低景观安全格局为主,占用耕地、水域、林地规模较高;基本保障情景下,模拟新增的城镇建设用地主要布局在中景观安全格局区域,较惯性发展情景占用耕地规模增加,占用水域、林地规模减少;与惯性发展情景、基本保障情景相比,最优保护情景下占用耕地规模略高但集中于高景观安全格局区,新增占用水域规模、林地规模降低。②不同情景下的景观格局也存在差异,惯性发展情景下,景观格局变化一定程度有利于促进城镇化发展,但不利于耕地机械化生产,影响林地、水域生态服务功能;基本保障情景下,景观格局变化一定程度上有利于城乡社会经济发展,对非人工景观的破坏程度较惯性发展情景降低;最优保护情景下,景观格局变化更有利于区域社会、经济及生态发展。③惯性发展情景下,应适当规划生态基础设施,严格划定永久性基本农田;基本保障情景下,应充分发挥景观安全格局的生态底线功能,引导城镇建设用地合理开发与布局;最优保护情景下,可通过存量建设用地挖潜等措施提高土地集约利用水平。
Abstract:
      Multi-scenario simulating the expansion of urban construction land is beneficial to the realization of the optimal allocation of land resources and the sustainable development of the region. Taking Yangzhou City as an example, taking the land use change datum of 2005 and 2013 year as training datum, this paper simulates the expansion trend of urban construction land based on ANN-CA model, analyzes the advantages and disadvantages of each simulated scenario by using land transfer matrix for urban construction and landscape pattern index of 2013—2020 year. The results indicate: 1) The scales of other landscape occupied by the expansion of urban construction are different in different scenarios, but rural settlement is occupied most in each scenario. In the inertial development scenario, the new urban construction land is mainly clustered in the region with low landscape security pattern, and occupies more arable land, waters and woodland. In the basic security scenario, the new urban construction land is mainly distributed in the region with middle landscape security pattern. Compared to the inertial development scenario, it occupies more arable land but less waters and woodland. The optimal protection scenario occupies more arable land but less waters and woodland compared with the inertial development scenario and the basic security scenario, but mainly concentrates in the region with high landscape security pattern. 2) Landscape patterns are different in the three scenarios. In the inertial development scenario, landscape pattern change is conducive to the development of urbanization, but adverse to the mechanized production of arable land and the ecological service functions of woodland and waters. In the basic security scenario, landscape pattern change is beneficial to the social and economic development of urban and rural areas to a certain extent, and damages less to waters and woodland than the inertial development scenario. In the optimal protection scenario, landscape pattern change is more conducive to the regional social, economic and ecological development. 3) In the inertial development scenario, the ecological infrastructure should be planned properly and the permanent basic farmland should be delimited strictly. In the basic security scenario, the government should give full play to the ecological bottom line function of the landscape security pattern and guide the rational development and layout of the urban construction land. In optimal protection scenario, the government should improve the level of intensive land use by exploitering the stock construction land and so on.
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