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以黑龙江省海伦县为研究区,采用限制最小样点间距抽样和方差分解方法研究了采样点间距对土壤有机质(SOM)与环境因子相关关系识别的影响。结果表明,温度、土壤类型、坡度及作物生物量(NDVI)是研究区SOM变异性的主要环境控制因子;采样点数量为125个,最小样点间距为3.5 km时,SOM数据所包含的多尺度信息与多尺度的环境因子达到最佳尺度匹配,环境因子与SOM相关性最高,此时环境因子单独解释的方差及环境因子与空间变量共同解释的方差也最高,而空间变量解释的SOM方差则最小,因此,最适于识别研究区SOM与主要环境控制因子间的相关关系。
Taking Helen County of Heilongjiang Province as the research area, the effect of sampling point spacing on the correlation of soil organic matter (SOM) and environmental factors was studied by using the method of minimum sampling spacing and variance decomposition. The results showed that temperature, soil type, slope and crop biomass (NDVI) were the major environmental control factors for SOM variability in the study area. The number of sampling points was 125 and the minimum sampling interval was 3.5 km The scale information matches with the multi-scale environmental factor to achieve the best scale, and the environmental factor has the highest correlation with SOM. At this time, the variance explained by the environmental factor and the variance explained jointly by the environmental factor and the spatial variable are also the highest, while the SOM variance explained by the spatial variable It is the smallest and, therefore, the most suitable for identifying the correlation between SOM and major environmental control factors in the study area.