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

Calculation and Promotion of County's Cultivated Land Productivity Based on RS——Taking Zhaoyuan in Heilongjiang Province as an Example

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。

This paper selected Zhaoyuan County as the research area, calculated cultivated land productivity with the method of potential attenu-ation by using the technology of remote sensing and geographic information system, and analyzed its spatial distribution pattern. This paper divided theresearch area into four productivity capacity zones by using cluster analysis function of SPSS, and confirmed the main factors which were the restrictionof cultivated land productivity. The results showed that：Taking images of remote sensing and statistical data as the data sources, could quickly calcu-late the productivity of cultivated land. The spatial distribution of productivity and productivity per unit area at all levels were similar, its values gener-ally accorded with the distribution characteristic of decreasing from the east and west to the middle in 2014. Theoretical productivity potential of thestudy area was obviously different, its values ranged from 7499. 8424 - 15743. 4468kg/hm2 , the highest was 2.1 times that of the lowest. Cultivatedland productivity potential among four productivity capacity zones were significant different. The main factors of restricting the productivity capacitywere soil fertility, soil degradation and organic matter. Social economic and technological input in most of towns was low. And then put forward the cor-responding recommendations.