欢迎访问《中国农学通报》，
中国农学通报

中国农学通报 ›› 2014, Vol. 30 ›› Issue (32): 184-188.doi: 10.11924/j.issn.1000-6850.2014-0327

所属专题： 耕地保护

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

基于景观格局指数的耕地细碎化研究 ——以甘肃省临夏北塬地区为例

王道骏,陈英,贾首杰,刘书安   

  1. 甘肃农业大学,甘肃农业大学资源与环境学院,甘肃农业大学资源与环境学院,甘肃农业大学资源与环境学院
  • 收稿日期:2014-02-13 修回日期:2014-02-13 接受日期:2014-03-19 出版日期:2014-11-20 发布日期:2014-11-20
  • 通讯作者: 王道骏
  • 基金资助:
    国家自然科学基金项目“村民关联度与农地利用的关系研究——以甘肃河西走廊为例”(71263003)。

The Research of Land Fragmentation Based on Landscape Pattern Index: Taking Beiyuan District in Linxia of Gansu Province as An Example

  • Received:2014-02-13 Revised:2014-02-13 Accepted:2014-03-19 Online:2014-11-20 Published:2014-11-20

摘要： 选取甘肃省临夏北塬地区为研究区域，以景观格局为全新视角，构建基于景观格局指数的耕地细碎化测度体系，以期为降低农业生产成本，提高耕地利用效率提供参考。以生态学景观格局原理为基础，运用ArcGIS、Fragstats、SPSS等软件，对所选取的耕地细碎化指标进行测算分析，最终确定北塬地区耕地细碎化的主要因素，构建耕地细碎化测度体系。结果表明：选取的5 个指标能综合考虑面积、形状和分布等因素对耕地细碎化的影响，是衡量北塬地区耕地细碎化的重要指标；平均地块面积过小、地块数量过多、地块形状复杂不规则，仍是导致北塬地区耕地细碎化的主要原因，并分别测算了9 个乡镇的耕地细碎化水平。

关键词: 重庆市, 重庆市

Abstract: Using Beiyuan District in Linxia, Gansu Province as an example, the author researched the main factors of its land fragmentation and took the landscape pattern as a new perspective to construct the landfragmentation test system of the landscape pattern index, in order to reduce the agriculture production cost and the land use efficiency. Based on landscape pattern principle, the author adapted ArcGIS, Fragstats, SPSS and other software to calculate the land fragmentation index, and confirmed the main factors of land fragmentation in Beiyuan County, then constructed land fragmentation measurement system. The results showed that the five selected indexes were significant to measure land fragmentation for Beiyuan Area and could comprehensively reflect the influence of the area, shape, distribution and other factors to land fragmentation. Small average area, large amount of land parcels and complex shape were the main reasons that led to land fragmentation in Beiyuan Area. Through the research, the author constructed the land fragmentation measurement system in Beiyuan Area and calculated the land fragmentation level for 9 counties.