摘要
选取广东省已进行过深入调查的20个自然保护区为样本,以稀有濒危物种分布、维管植物数量、稀有濒危动植物的种数、保护区面积、年平均降雨量等属性数据作为变量,建立数据库,进行DCA排序和UPGMA聚类研究.DCA排序结果显示,各自然保护区在排序空间中基本上聚集在一起,表明它们的β多样性即样本间的梯度很低,具有很强的同质性.各个保护区的聚类结果基本上反映了省内生境的地带性分异.60种稀有濒危植物的聚类结果则反映出它们在各个保护区分布情况的相似程度,这就间接地表明了它们的分布与相关自然保护区生境条件的密切关系.本项研究的结果提示,在做好行政及管理协调的基础上,从自然保护的角度着眼,可把地理相近、梯度相差较少的保护区合并,组成更大面积的自然保护区.本项研究还表明,采用排序结合聚类的方法对于所选样本的分类是行之有效的.
Twenty nature reserves in Guangdong Province with detailed background data were selected for DCA (Detrended Correspondence Analysis) ordination and UPGMA(Unweighted Pair-group Method Using Arithmetic Average)cluster analysis. Data matrices for the analyses were constructed using frequency of rare and endangered plant species distribution, number of vascular plant species, number of rare and endangered plant and animal species, area of nature reserve, average annual rainfall as attribute variables. Results from DCA ordination showed a concentrating trend of nature reserves, indicating a low β diversity and a low gradient and thus high homogeneity among them. Cluster analysis on the nature reserves displayed the zonal diversification of habitats across the province, whereas cluster analysis on the rare and endangered plant species demonstrated the degree of similarity to their distribution among the nature reserves, which indirectly related their distribution to the habitats of the relative nature reserves. The findings from this study suggest that adjacent low-gradient nature reserves can be merged for better conservation of nature and natural resources, if administration and management are feasible. This study also suggests that a combination of DCA and UPGMA is powerful in explaining gradients and in classifying the samples.
出处
《华南农业大学学报》
CAS
CSCD
北大核心
2004年第2期75-79,共5页
Journal of South China Agricultural University
基金
广东省科技攻关项目(2002C20703)
关键词
广东
自然保护区
DCA排序
UPGMA聚类
生境条件
稀有濒危物种
nature reserve
cluster analysis with UPGMA
ordination using DCA
rare and endangered plant species
Guangdong Province
