As a complex social ecosystem network,the area along the Grand Canal has a prominent contradiction between the demand for economic development and the protection of natural resources,which means that there is an urgen...As a complex social ecosystem network,the area along the Grand Canal has a prominent contradiction between the demand for economic development and the protection of natural resources,which means that there is an urgent need for ecological restoration and environmental protection.Using ArcGIS,Conefor,Linkage Mapper and other software platforms,this paper developed an integrated analysis framework,through loose coupling of the attribute-function-structure index system and a series of methods such as the least cost path,circuit theory and moving window search.Based on the framework,we resolve a series of scientific issues in developing regional ecological networks,such as the selection of ecological sources,the simulation of potential ecological corridors,the assessment of the importance of ecological sources and corridors,and the identification of key ecological nodes.Moreover,an overall conservation pattern of the regional ecological network is constructed.The results show that:1)A total of 88 important ecological sources are identified in the study area.The patches with high centrality values are mainly concentrated in the southern mountainous area and the areas with abundant rivers and lakes.2)A total of 138 important ecological corridors are identified,and they are not evenly distributed.Extremely important corridors mostly appear between important patches,and very important corridors are mainly distributed in the central area.3)Fifteen ecological pinch points are extracted,and they are mainly concentrated in the northern part of the study area and eastern Zhejiang Province.The barriers are mostly concentrated in the southern and northern parts of the study area.4)Combining the demands of ecological protection and socioeconomic development,we propose an overall ecological conservation pattern of"one axis,five sections,multiple cores and multiple nodes"to effectively guide future ecological restoration work.These results can provide a useful reference and spatial guidance for decision makers in terms of ecological restoration and cooperation on cross-regional ecological protection along the Grand Canal.展开更多
This paper proposes an algorithm for road density analysis based on skeleton partitioning. Road density provides metric and statistical information about overall road distribution at the macro level. Existing measurem...This paper proposes an algorithm for road density analysis based on skeleton partitioning. Road density provides metric and statistical information about overall road distribution at the macro level. Existing measurements of road density based on grid method, fractal geometry and mesh density are reviewed, and a new method for computing road density based on skeleton partitioning is proposed. Experiments illustrate that road density based on skeleton partitioning may reveal the overall road distribution. The proposed measurement is further tested against road maps at 1:10k scale and their generalized version at 1:50k scale. By comparing the deletion percentage within different density interval, a road density threshold can be found, which indicate the need for further operations during generalization. Proposed road density may be used to examine the quality of road generalization, to explore the variation of road network through temporal and spatial changes, and it also has future usage in urban planning, transportation and estates evaluation practice.展开更多
基金The National Natural Science Foundation of China(51478217)。
文摘As a complex social ecosystem network,the area along the Grand Canal has a prominent contradiction between the demand for economic development and the protection of natural resources,which means that there is an urgent need for ecological restoration and environmental protection.Using ArcGIS,Conefor,Linkage Mapper and other software platforms,this paper developed an integrated analysis framework,through loose coupling of the attribute-function-structure index system and a series of methods such as the least cost path,circuit theory and moving window search.Based on the framework,we resolve a series of scientific issues in developing regional ecological networks,such as the selection of ecological sources,the simulation of potential ecological corridors,the assessment of the importance of ecological sources and corridors,and the identification of key ecological nodes.Moreover,an overall conservation pattern of the regional ecological network is constructed.The results show that:1)A total of 88 important ecological sources are identified in the study area.The patches with high centrality values are mainly concentrated in the southern mountainous area and the areas with abundant rivers and lakes.2)A total of 138 important ecological corridors are identified,and they are not evenly distributed.Extremely important corridors mostly appear between important patches,and very important corridors are mainly distributed in the central area.3)Fifteen ecological pinch points are extracted,and they are mainly concentrated in the northern part of the study area and eastern Zhejiang Province.The barriers are mostly concentrated in the southern and northern parts of the study area.4)Combining the demands of ecological protection and socioeconomic development,we propose an overall ecological conservation pattern of"one axis,five sections,multiple cores and multiple nodes"to effectively guide future ecological restoration work.These results can provide a useful reference and spatial guidance for decision makers in terms of ecological restoration and cooperation on cross-regional ecological protection along the Grand Canal.
基金Supported by the National 863 Program of China(No2007AA12Z225)the Natural Science Foundation of China(No40771168)
文摘This paper proposes an algorithm for road density analysis based on skeleton partitioning. Road density provides metric and statistical information about overall road distribution at the macro level. Existing measurements of road density based on grid method, fractal geometry and mesh density are reviewed, and a new method for computing road density based on skeleton partitioning is proposed. Experiments illustrate that road density based on skeleton partitioning may reveal the overall road distribution. The proposed measurement is further tested against road maps at 1:10k scale and their generalized version at 1:50k scale. By comparing the deletion percentage within different density interval, a road density threshold can be found, which indicate the need for further operations during generalization. Proposed road density may be used to examine the quality of road generalization, to explore the variation of road network through temporal and spatial changes, and it also has future usage in urban planning, transportation and estates evaluation practice.
