学术论文

      江苏省耕地后备资源空间分布特征

      Spatial Distribution of Cultivated Land Reserve Resources in Jiangsu Province

      摘要:
      利用面板数据和空间数据,借助空间基尼系数、集中化指数、组合系数等方法,探讨了江苏省耕地后备资源空间分布特征.结果显示:(1)江苏省耕地后备资源总量由南向北依次递增,整体分布不均匀,呈现出苏北>苏南>苏中的趋势,内陆滩涂为省内后备资源的主要来源,且耕地后备资源集中分布于沿海沿湖及古黄河故道沿岸地区.(2)境内各地类空间集聚性强,各县耕地后备资源集中化程度高,70%左右的县域为单一地类组合类型,利用结构相对单一.(3)江苏省未来开发应以滩涂资源为主,并辅之异地占补,从而实现省内资源可持续开发利用.通过实证分析,得出研究结论:基尼系数、集中化指数和组合系数等方法相辅相成,揭示并量化了各县域耕地后备资源地类集聚程度及分布特征,可为挖掘后备资源分布特征、解译耕地后备资源集聚效应、制定开发利用对策提供科学依据.
      Abstract:
      In this paper,based on panel data and spatial data,spatial distribution characteristics of cultivated land reserve resources in Jiangsu Province are investigated by means of spatial Gini coefficient,centralization index and combinatorial coefficient.The results show that:(1) The amount of cultivated land reserve resources in Jiangsu increases from south to north,and the distribution of cultivated land resources in Jiangsu Province shows a general trend-northern Jiangsu>southem Jiangsu>central Jiangsu.Inland beaches are the main sources of the reserve resources,which are concentrated in the coastal areas along the Yellow River and the ancient lake.(2)With strong spatial agglomeration and high degree of centralization,about 70% of the county have a single class combination type and the structure is relatively simple.(3) The future of Jiangsu province is to develop tidal flat resources,carrying out remote compensation in order to achieve sustainable development and utilization in the province.Through empirical analysis,draw the conclusion:spatial distribution of cultivated land reserve resources is revealed and quantized by Gini coefficient,centralization index and combinatorial coefficient,which interpret the agglomerative characteristics and provide a scientific basis for the exploitation measures.
      作者: 任亚 [1] 方斌 [2]
      作者单位: 扬州市国土资源局广陵分局,江苏扬州,225000 南京师范大学新型城镇化与土地问题研究中心,江苏南京210023;江苏省地理信息资源开发与利用协同创新中心,江苏南京210023;江苏省物质循环与污染控制重点实验室,江苏南京210023
      年,卷(期): 2017, 40(1)
      分类号: F323.211
      在线出版日期: 2017年6月2日
      基金项目: 国家自然科学基金,全国耕地后备资源调查评价、江苏高校优势学科建设工程资助项目