常州市钟楼区耕地产能空间分布与影响因素分析

耕地产能评价对于耕地资源保护及质量提升具有重要的现实意义。通过构建耕地产能评价体系，运用空间自相关及主成分回归分析法对常州市钟楼区的耕地产能进行空间分布及影响因素分析。结果表明：基于气候、自然因素和技术水平综合指标的耕地产能评价体系具有适用性和可操作性；钟楼区耕地产能等别分为6等和7等，其中6等地占比达到97.55%，等别空间分布呈现出城区内部街道低、外围地区较高的格局；耕地产能整体空间集聚性显著，各街道（乡镇）均表现出较强的空间正相关性，正相关类型（HH型和LL型）多呈现组团式，负相关类型（LH型和HL型）则分布零散；耕地自然质量和技术水平是影响钟楼区耕地产能空间分布的主要驱动因素，其中，耕作层厚度、有机质含量、障碍层距地表深度和土壤养分元素为主导因素，pH值、灌溉保证程度和排水条件为次要因素。因此，应从增强耕地自然质量、提高耕地技术水平等方面制定提高耕地产能的针对性措施。

Analysis of spatial distribution and factors influencing productivity of cultivated land in Zhonglou District of Changzhou City, China

Productivity assessment of cultivated land has important practical significance for the protection and improvement of cultivated land. Based on the reconstruction of a cultivated land productivity evaluation system, we used spatial autocorrelation and principal component regression analysis to analyze the spatial distribution and factors influencing productivity of cultivated land in the Zhonglou District of Changzhou City. The results revealed that:The evaluation system for determining the productivity of cultivated land based on comprehensive indicators of climate, natural factors, and technical level had limited applicability and operational value. The production capacity of the cultivated land in Zhonglou District was classified as 6 and 7 ratings. The proportion of the 6th land reached 97.55%. Lower productivity were found to be distributed in the urban street area than in the surrounding areas. The overall spatial agglomeration characteristics of the productivity of cultivated land was significant. All streets (townships) showed strong spatial autocorrelation; positive correlation (HH and LL types) appeared in groups and negative correlation (LH and HL types) was scattered. The natural quality and technical level of cultivated land were the key factors affecting the spatial distribution of productivity of cultivated land in the Zhonglou District. The four dominant factors were tillage layer thickness, organic matter content, barrier layer depth and soil nutrients. The three secondary factors were pH, reliable irrigation, and drainage conditions. Therefore, targeted measures to increase the productivity of cultivated land should be formulated based on enhancing the natural quality of cultivated land and improving the technical practices of cultivated land.