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海南省耕地地力水平分布及影响因素——以澄迈和陵水县为例
引用本文:王登峰,魏志远,吕烈武,方圆,漆智平.海南省耕地地力水平分布及影响因素——以澄迈和陵水县为例[J].热带地理,2012,32(6):593-597,605.
作者姓名:王登峰  魏志远  吕烈武  方圆  漆智平
作者单位:(1.中国热带农业科学院 热带作物品种资源研究所,海南 儋州 571737;2.海南省土壤肥料站,海口 570203)
基金项目:海南省自然科学基金(312054);中央级公益性科研院所基本科研业务费专项(1630032012019)
摘    要:以澄迈和陵水黎族自治县为研究区,在构建包含土壤理化性质、土壤养分、立地条件和土壤管理在内的4个子目标、11个具体指标的耕地地力评价指标体系的基础上,采用模糊数学理论确定指标隶属度,结合层次分析法进行加权求和,对澄迈和陵水进行耕地地力水平综合评价,阐明其耕地地力水平的分布特征和影响因素。结果表明:1)澄迈和陵水的耕地地力为中等水平,且澄迈的耕地地力相对较高,母质和地形因素是两县耕地地力水平差异的主导因素;2)耕地地力水平分布格局与地形和水系分布关系较为紧密,谷底平原、平原和山麓平原地区耕地地力水平较高,降雨和地形因素是导致区内耕地地力分布不均的主要因素。

关 键 词:耕地地力  模糊数学  澄迈县  陵水黎族自治县  
收稿时间:2012-05-23

Distribution of Arable Land Soil Productivity in Hainan: A Case Study of Chengmai and Lingshui Li Autonomous County
WANG Dengfeng,WEI Zhiyuan,Lü Liewu,FANG Yuan,QI Zhiping.Distribution of Arable Land Soil Productivity in Hainan: A Case Study of Chengmai and Lingshui Li Autonomous County[J].Tropical Geography,2012,32(6):593-597,605.
Authors:WANG Dengfeng  WEI Zhiyuan  Lü Liewu  FANG Yuan  QI Zhiping
Institution:(1.Tropical Crops Genetic Resources Institute of Chinese Academy of Tropical Agriculture Sciences,Ministry of Agriculture,Danzhou 571737,China;2.Hainan Soil and Fertilizer Station,Haikou 570203,China)
Abstract:Assessment of arable land productivity distribution is fundamental to agricultural growth and is of importance to development of agriculture with regional characteristics. This paper makes a comprehensive assessment of the arable land productivity of Chengmai County and Lingshui Li Autonomous County by building an indicator system for assessing arable land productivity, which includes eleven indicators and three sub-goals: soil physicochemical properties, soil nutrients, site conditions, and soil management, and applying Fuzzy Mathematics Theory to calculate the degree of membership and Analytic Hierarchy Process to determine the weight sum. The results show that: 1)Arable land soil productivities of Chengmai and Lingshui are moderate and the productivity of Chengmai is relatively higher; the distribution of parent materials and topographic conditions is the primary influential factor; 2)The distribution of arable land soil productivity is close to that of topographic conditions and river systems; productivities of valley floor plains, plains and piedmont plains are relatively higher than those of other areas; precipitation and topographic conditions are the determining factors of uneven distribution of arable land productivity in the study area.
Keywords:arableland productivity  Fuzzy Mathematics Theory  Chengmai County  Lingshui Li Autonomous County  
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