基于灰色关联分析的思茅松林下枯落物与土壤有机质含量的关系研究

Relationship between Litter-fall and Soil Organic Matter in Pinus kesiya Forest Based on Gray Relational Analysis

设计6个大样区,27个样地,7个因子(有机质、朽木、松针、松枝、松果、阔叶、腐殖质)进行调查采样,采用灰色系统理论的灰色关联分析法对景谷县思茅松林下枯落物与土壤有机质含量的关系进行分析研究.结果表明,景谷县思茅松林下松针、松果、朽木对林下土壤中有机质的含量影响最大,其次是松枝、腐殖质层、阔叶.

6 plots, 27 sampling plots and 7 factors （organic matter, rotten wood, pine needles, pine branches, pine cones, broad-leaved, humus） were designed to conduct survey sampling. By using gray relational analysis method of gray system theory, the relationship between litter-fall and soil organic matter in Pinus kesiya forests were studied. The results showed that the content of pine needles, pine cones, rotten wood have biggest impact on forest soil organic matter, and followed by the pinebranch, humus layer, broad-leaved .