摘要
“三生”空间优化是国土空间开发的重点。以延安市为研究区,利用Markov-FLUS模型模拟2030年延安市“三生”空间布局,并利用最小累积阻力模型(MCR),以生境质量极重要区以及保护区为生态源地,以农村及城市居民点为建筑源地,以年平均气温、年平均降雨量、GDP、人口密度、距河流距离、距居民点距离、距铁路距离、距公路距离、高程9种阻力因子,分别形成阻力面,构建延安市国土空间开发适宜性分区,将“三生”空间布局与分区结果叠加,得到延安市“三生”空间优化分区,根据分区结果提出发展策略。结果表明,1)Markov-FLUS模型在研究区内模拟结果良好,Kappa系数为0.798,总体精度为92.30%;2)延安市按阻力阈值分为禁止开发区、限制开发区、重点开发区、优化开发区4类,其中重点开发区面积最大,禁止开发区面积最小;3)应根据不同空间的实际与发展状况采取不同的管控策略。
Optimization of"production-living-ecological"space(PLES)is the key of spatial development of the country.In this paper,we chose Yan'an City as a research area to simulate the distribution of PLES in 2030 by using Markov-FLUS model.Minimal cumulative resistance(MCR)model was used to carry out suitability zoning of land and space development,in which very important ecological environment land and conservation land were considered as the ecological source land,urban and rural residential land as the construction source land,and the resistance surface was built upon 9 resistance indices,including mean annual temperature,mean annual precipitation,GDP,population density,distance to rivers,distance to settlements,distance to railways and distance to roads and DEM.Then,overlying the simulation results and suitability zoning,optimized zones of PLES were obtained,from which the development strategies according to the zoning results were proposed.The results showed that 1)the Markov-FLUS model had good simulation results in the study area with a Kappa coefficient of 0.798 and an overall accuracy of 92.30%.2)Yan'an City was divided into four categories according to the resistance surface:prohibited development zone,restricted development zone,key development zone,and optimized development zone,of which the key development zone covered the largest area and the prohibited development zone was the smallest.3)Different control strategies should be adopted according to the actual and development conditions of different spaces.
作者
尹代皓
赵忠
YIN Dai-hao;ZHAO Zhong(College of Forestry,Northwest A&F University Yangling 712100,Shaanxi,China;Protection and Breeding Engineering Technology Research Center for Old and Valuable Trees,National Forestry and Grassland Administration,Yangling 712100,Shaanxi,China)
出处
《西北林学院学报》
CSCD
北大核心
2024年第2期133-140,共8页
Journal of Northwest Forestry University
基金
“十三五”国家重点研发计划(2017YFC0504605)。
