山丘生态保护区乡村聚落空间分异及格局优化
Spatial differentiation and layout optimization of rural settlements in hill ecological protection area
摘要 合理优化乡村聚落空间格局对区域生态环境保护具有重要意义.该文以山丘生态保护区山东省泗水县为例,运用最近邻点统计、空间关联测度模型、空间韵律测度等方法分析泗水县乡村聚落空间分异特征,并从生态保护与建设的视角,运用最小累积阻力模型从森林、水体2个方面构建生态保护格局,探讨泗水县乡村聚落格局优化方向.结果表明:泗水县乡村聚落空间集聚态势显著,平均密度在1.6~4个/km2范围内,呈现出的"南北密,中间疏"的空间分异特征;聚落规模以小型聚落居多,斑块数量占总数的45.43%,存在低值集聚的冷点区,表现为"中部大,南北小"的分布态势;乡村聚落斑块形状较为复杂,连续性差,破碎化明显;聚落主要分布在高程73~250 m、坡度0~5?以及距河流600 m范围内.通过构建生态保护格局并根据乡村聚落对森林、水体的影响将其划分为重点整治型、限制扩张型、适度建设型和优先发展型4种格局优化类型,该研究结果可为生态保护与建设背景下区域乡村聚落的规划发展提供依据.
Abstract:
Rural settlements are the places of habitation, production and living for rural population. Research on rural settlements can better reveal the formation of rural settlements and the relationship between the life and environment. Nowadays, the ecological environment problems caused by the rural settlement expansion and population growth have become more prominent, and the reasonable optimization of rural settlements layout and the protection of rural settlements ecological environment function are the key issues in the development of rural settlements. To clarify the spatial differentiation characteristics and optimize the layout of rural settlements in hill ecological protection area, this paper took the Sishui County, Shandong Province as a study case, and analyzed the spatial differentiation characteristics by using the nearest neighbor statistics, the spatial correlation measure model and the spatial metrics model; from 2 aspects of forest and water body based on the perspective of ecological protection and construction, the ecological protection pattern was built by using the minimum cumulative resistance model, and the optimization direction of rural settlement in Sishui county was explored. The results showed that: (1) The rural settlements of Sishui County had significant spatial distribution feature of agglomeration with the average density of 1.6-4 settlements per km2; the rural settlements mostly presented the cluster and scatter distribution in the northern and southern hilly areas, and the zonal distribution in the middle plain areas, with the spatial distribution characteristics of "dense in the north and south, sparse in the middle". (2) The majority of rural settlements in Sishui were small settlements, and the patch quantity accounted for 45.43% of the totality. There existed the rural settlements whose scale also had significantly low concentration characteristics, presenting the distribution situation of "large in the middle, small in the north and south". (3) The spatial differentiation in shape had obvious characteristics of complexity, poor continuity and fragmentation in Sishui County, and the shape of rural settlements in the middle plain areas had relatively small complexity, good continuity, and fragmentation, which was much more regular than that in the northern and southern hilly areas. (4) For the spatial distribution characteristics of the elevation, slope and river of rural settlements, it was found that the rural settlements were mainly distributed in the elevation of 73-250 m, the slope of 0-5° and the range of 0-600 m away from rivers. Based on the spatial differentiation of rural settlements, the slope, roads and different land use types were selected as the most important impact factors, and the forest and water ecological protection pattern was constructed; 4 types of layout optimization i.e. key remediation, restricting expansion, moderate construction and prior development were divided according to the impact of rural settlements on forest and water, and the construction and development directions of rural settlements were explored. The results of this study can provide the basis for the planning and development of regional rural settlements under the background of ecological protection and construction.
Author: Meng Lingran Wu Jun Dong Jihong
作者单位: 中国矿业大学环境与测绘学院,徐州 221116;曲阜师范大学地理与旅游学院,日照 276826 曲阜师范大学地理与旅游学院,日照,276826 中国矿业大学环境与测绘学院,徐州 221116;江苏省资源环境信息工程重点实验室,徐州 221116
刊 名 农业工程学报 ISTICEIPKU
年,卷(期): 2017, 33(10)
分类号: F301.24
在线出版日期: 2017年7月6日
基金项目: 国家重点研发计划课题