在构建包含土壤理化性状、土壤养分、立地条件和土壤管理在内的4个子目标、11个指标的耕地地力评价指标体系基础上,采用模糊数学理论确定指标隶属度,借助层次分析法对指标隶属度进行加权求和,对澄迈县各乡镇进行耕地地力综合评价.结果表明:澄迈县耕地地力为中等水平,二、三、四级耕地占全区耕地总面积的89.8％；各乡镇耕地地力水平分布不均,以瑞溪镇和金江镇最高,加乐镇和文儒镇的五级耕地所占比重较大,其耕地地力水平较低；区域降雨和地形因素是研究区内耕地地力水平空间分布不均的主要成因.%Geographical distribution evaluation of arable land productivity is the basis of agricultural growth. This is crucial to regional plantation distribution and sustainability of arable land use. An indicator system for assessing arable land productivity was formed, including four sub-goals of soil physicochemical properties, distributions of soil nutrients, site conditions and soil management and eleven indicators. This study evaluated comprehensively the arable land productivities of Chengmai, applying Fuzzy Mathematical Approach to calculate the degree of membership and Analytic Hierarchy Process to determine the weight sum. As indicated in the research, Chengmai ranks middle of arable land productivity and the arable land at the 2, 3 and 4 levels take up 89.8 percent of the total coverage of that area; the geographical distributions of land productivities vary with town locations, wherein, the Ruixi and Jinjiang Town rank top, while either Jiale or Wenru, which has more land of the fifth level, has a lower degree of land productivity. Precipitation and topographical characters can primarily account for the unbalanced geographical distributions of arable land productivity in the study area.
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