福建省耕地多尺度空间分布特征分析

区域土地利用格局分析应优先考虑影响因子识别及其尺度效应研究。该文分别通过整体与分区研究,采用统计方法与GIS技术,从自然环境、社会经济以及基础设施条件各方面选取25个候选影响因子,开展福建省耕地多尺度空间分布特征研究。采用的基本研究单元为1km×1km,在此基础上生成2km×2km,3km×3km～10km×10km共10个空间尺度序列数据图层。不同空间尺度上分别构建福建省6个农业综合分区耕地空间分布模型,探讨了福建省耕地空间分布影响因子的尺度规模效应。研究表明模型不仅会随着研究尺度发生变化,在不同的农业综合分区内也有较大的差异。分区研究比整体研究的模型解释能力要高,模型的解释能力总体上随研究尺度的增大而升高。除坡度因子外,其他影响因子本身及其影响系数在不同的农业综合分区间发生变化,但总体规律是福建省耕地受坡度、海拔高程等不易随时间改变的自然条件的严格制约,并且这种制约作用随尺度增大呈逐渐增强趋势。

Analysis of multi-scale spatial distribution characteristics of cultivated land in Fujian Province

Impact of spatial scales on land use patterns and identification of its potential influencing factors is essential for full understanding of its complexity. The main purpose of this paper was to perform a multi-scale analysis of cultivated land pattern of Fujian province by means of statistical analysis through overall study and each agro-zone respectively. Twenty-five variables were selected as the candidate variables representing bio-geophysical, socio-economic and infrastructural conditions. The basic spatial organization in the analysis was a 1km×1km geographical grid. Through aggregations of these cells, a total of ten artificial aggregation levels were obtained. The independent models of the whole study area and each six agro-zones of cultivated land patterns were constructed at multiple scales respectively. The results showed that cultivated land models varied with aggregation level and also between agro-zones. Independent variables explained more of the variance for the explanation of cultivated land pattern at higher aggregation levels. Other variables of the cultivated land models excluding the highest ranking variable-slope, also vary between agro-zone I to VI. But the general rule is that cultivated land in all six agro-zones is strictly restricted by topographic factors which changes little along with time and their restricting effect increase with spatial scales.