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土壤肥力是影响作物单产的主要因素,也是耕地分级的重要依据。选择海拔、坡度、耕层厚度、pH值、有机质、全氮、速效磷、速效钾共8个评价指标,用改进层次分析法确定指标权重,以模糊数学理论为基础,在ArcGIS8.3和ArcView3.3平台上,实现贵州省普安县耕地土壤肥力可视化评价,并分析县域土壤肥力空间分布差异,为土壤培肥、治理、耕地分级和退耕还林还草科学决策提供依据。
Soil fertility is the main factor affecting the crop yield, but also an important basis for the classification of arable land. Eight indexes including elevation, slope, thickness of topsoil, pH value, organic matter, total nitrogen, available phosphorus and available potassium were selected and index weights were determined by improved analytic hierarchy process. Based on fuzzy mathematics theory, ArcGIS8.3 and ArcView3 .3 platform to realize the visual assessment of cultivated land fertility in Pu’an County, Guizhou Province, and to analyze the spatial distribution differences of soil fertility in the county, providing the basis for scientific research on soil fertility management, farmland grading and returning farmland to forestland and grassland.