摘要
应用模糊聚类和主成分分析(PCA)对黄土高原丘陵沟壑区植物群落演替进行研究,以探讨该方法在植被演替研究中的可行性。研究结果表明,利用模糊聚类分析和主成分分析,可以将13个样地客观地划分为5个群系。结合不同群系的恢复时间,即可判定随时间变化而呈现出的植物群落演替序列:猪毛蒿群落-赖草群落-长芒草群落-铁杆蒿群落-沙棘群落。该演替序列与传统的研究结果基本相同,说明利用模糊聚类分析和主成分分析方法研究植被演替是可行的。同时该方法数学上较为严格,且计算简单、运算量小,精度较高、可在计算机上运算,可大大提高植物群落演替研究的定量化水平,在植被演替中具有较好的应用价值。
The research on the fuzzy classification analysis and principal component analysis (PCA) in plant community succession in loess hilly region was reported, with the aim of probing into the feasibility of this method in plant community succession studying. The results showed that the 13 sample plots with 15 species were classified into 5 classes.Combined with time the restoration of different communities takes, a community succession series was established:Artemisia scoparia community-Leymus scalinus community-Stipa bungeana community-Artemisia gmelinii community-Hippophae rhamnoides community. This succession series is consistent with the results got by traditional ways, showing that these methods are applicable in the plant community succession studies. Moreover this method has strict mathematic meaning with simple calculation and high precision and can be operated in computer,thus improving the quantification of plant community succession studies. Therefore this method has high values in plant succession studies.
出处
《水土保持研究》
CSCD
北大核心
2005年第1期7-9,共3页
Research of Soil and Water Conservation
基金
中国科学院"西部之光"(B22012900)人才培养计划项目资助
中国科学院知识创新工程重要方向(KZCX3-SW-421)
国家自然科学基金项目(40301029)资助
关键词
黄土高原丘陵沟壑区
植被自我修复
植物群落
模糊聚类
排序
loess hilly region
natural restoration of vegetation
plant community
fuzzy cluster analysis
ordination
