基于RS的县域耕地产能核算及其产能提升研究——以黑龙江省肇源县为例

发布时间：2019-04-03 18:09

【摘要】：以黑龙江省肇源县为研究区,基于RS和GIS技术,采用潜力衰减法核算耕地产能,揭示其空间分异特征;运用SPSS软件聚类分析功能划分产能提升区,并分析制约耕地产能提升的主要因素。结果表明:以遥感影像和统计数据为数据源,可以快速、低成本核算耕地产能。2014年研究区各层次耕地产能和单产在空间分布上具有相似性,总体呈现由东部和西部向中部地区递减的两翼式分布特征。耕地理论产能潜力的差异显著,其数值在7499.8424—15743.4468kg/hm~2之间,最高值约为最低值的2.1倍。4个产能提升区之间的耕地产能提升空间存在显著差异,制约其产能提升的自然因素主要是土壤肥力、土壤退化、土壤有机质含量,并且大部分乡镇的社会经济技术投入水平较低。根据研究结果,提出了相应的对策建议。
[Abstract]:Taking Zhaoyuan County of Heilongjiang Province as the study area, based on the RS and GIS techniques, the potential attenuation method is used to calculate the cultivated land productivity and reveal its spatial differentiation characteristics. The cluster analysis function of SPSS software was used to divide the area of productivity improvement, and the main factors restricting the improvement of productivity of cultivated land were analyzed. The results show that using remote sensing images and statistical data as data sources, arable land productivity can be calculated quickly and at low cost. In 2014, the spatial distribution of cultivated land productivity and unit yield in the study area is similar. The distribution characteristics of the two-wing type decrease from the east and west to the middle of the region as a whole. The theoretical productivity potential of cultivated land is significantly different, its value is between 7499.8424-15743.4468kg/hm~2, and the highest value is about 2.1 times of the lowest value. There is a significant difference in the space of arable land productivity improvement among the four productivity elevating areas. Soil fertility, soil degradation, soil organic matter content, and the low level of socio-economic and technological input in most villages and towns are the main natural factors restricting the improvement of productivity. According to the research results, the corresponding countermeasures and suggestions are put forward.
【作者单位】：东北大学土地管理研究所;
【基金】：国家自然科学基金项目(编号:41671520) 中央高校基本科研业务费(编号:N161406001) 黑龙江省国土资源科研项目(编号:201411)
【分类号】：F323.211

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