样带多样性测度在景观生态和生物多样性等研究中有较为重要的应用价值,但存在的关键问题是缺乏适合的检验方法,其分析的可信度往往较低。研究建立了如下统计检验算法:样带多样性测度的显著性、样带多样性测度的置信区间、样带间多样性的差异显著性检验。基于这些算法,设计实现了相应的多样性检验系统。该系统采用网络分布计算体系结构,可运行于多种操作系统和多种数据库服务环境下。用该系统对水稻样带的节肢动物,依目多样性和功能群多样性对13个无脊椎动物样带(每样带有八个样点,共18个目,25个功能群)的分析结果表明,本算法可有效地反映无脊椎动物样带多样性测度的变化。
The measures on transect biodiversity, i. e. ,β biodiversity, are so valuable in the analyses of community, landscape and biological diversity. The major problems with these measures, however, are linked to the shortage of statistic test methods, which retarded their applications and the reliability of the results. The statistic tests on significance of transect biodiversity, confidence interval of transect biodiversity, and significance of among-transects difference, which based on transect measures Bw, Bc ,Br ,Bi ,Be ,Bt, and Gleasons (Bg) measure, are developed in this paper. The corresponding system is implemented in C/S model and it is independent of network and operating system platforms. The order diversity and functional group diversity of rice arthropod transect (13 transects, 8 sites, 18 orders, 133 families, 25 functional groups), are analyzed by using the system. The results show that the statistic tests can sensitively detect the changes of transect biodiversity.