基于DTTD-MCR-PLUS模型的三生空间格局优化-以长沙市为例

Abstract

PDF HTML阅读 XML下载 导出引用 引用提醒 基于DTTD-MCR-PLUS模型的三生空间格局优化——以长沙市为例 DOI: 10.5846/stxb202105291413 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家自然科学基金面上项目（51876087）；国家自然科学基金重点项目（U1867221）；南华大学博士科研启动基金（190XQD047）；湖南省教育厅课题（18C0418） Optimization of “production-living-ecological” spaces based on DTTD-MCR-PLUS Model: Taking Changsha City as an example Author: Affiliation: Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:优化三生空间格局有助于实现区域国土空间可持续高质量发展。研究提出利用动态交通时间数据优化最小阻力成本模型指标体系，对生态累计最小阻力与生活最小累计阻力差值进行聚类分析，利用突变点对各情景下的三生空间数量进行优化，从生活扩张、生态优先及基于资源与环境承载力视角下的粮食安全3个方面，提出了一种基于DTTD-MCR-PLUS的三生空间格局优化方法。研究发现：（1）基于动态数据优化的长沙市生态功能优化分区结果显示生态空间保护核心区面积为4111.41 km2，生态空间保护边缘区面积为2285.29 km2，生产空间开发重点区面积为2144.79 km2，生产空间开发边缘区面积为1928.59 km2，生活空间扩张集中区面积为1235.55 km2；（2）耦合DTTD-MCR-PLUS模型模拟的多情景结果表明：生活优先情景下，生活空间面积增幅高达43.57%，主要分布在望城区南部，长沙县西部和雨花区东部；生态优先情景下，生态空间转出速度最低，与生活优先情景相比下降了3.11%；粮食安全情景下，生产空间侵占生态空间速度加快，增幅高达58.79%；（3）协调基本农田、生态保护红线、以及自然保护区下的2030年长沙市三生空间格局优化布局方案结果表明：生产空间、生活空间和生态空间比例分别为37.63%、7.67%和54.70%。 Abstract:Optimizing the spatial pattern of "production-living-ecological" spaces is conducive to achieving regional sustainable and high-quality development. This study introduced a methodology for optimizing the spatial pattern of "production-living-ecological" spaces, called DTTD-MCR-PLUS. Considering the spatial heterogeneity of land expansion costs, the Minimum Cumulative Resistance (MCR) method and mutation detection were applied to conduct quantity optimization in "production-living-ecological" spaces, and a patch-generating land use simulation (PLUS) model was used to reflect its spatial distribution under three different scenarios containing food security, ecological priority and production priority. Furtherly, the dynamic traffic time data (DTTD) was innovatively introduced to portray living and ecological space expansion cost. The research found that:(1) After the ecological function optimization zoning, the core protection area of Changsha's ecological space was 4111.41 km2, the edge protection area of ecological space was 2285.29 km2, the key area of production space was 2144.79 km2, and the area of production space was 1928.59 km2. In addition, the area of the concentrated living space expansion area was 2570.99 km2. (2) The multi-scenario results simulated by the coupled DTTD-MCR-PLUS model revealed that:under the living priority scenario, the living space area increased by 43.57%, which was mainly distributed in the southern part of the urban area, the western part of Changsha County, and the eastern part of Yuhua District. Under the ecological priority scenario, the land transition-out of ecological space is the lowest compared with other scenarios, which was 3.11% lower than that of living priority scenario. Under the food security scenario, the proportion of encroachment of production space into ecological space was accelerated, with an increase of up to 58.79%. (3) The results of coordinating the basic farmland, ecological protection red line, nature protected area, and the optimized Changsha's "production-living-ecological" spaces in 2030 showed that, the proportions of production space, living space and ecological space were 37.63%, 7.67%, and 54.70%, respectively. 参考文献 相似文献 引证文献