Biotic element analysis in biogeography
Biotic element analysis in biogeography
复制标题
DOI：
10.1080/10635150390235584
复制
发表时间：
2003-10-01
影响因子：
6.5
通讯作者：
Hennig, C
中科院分区：
文献类型：
--
作者：
Hausdorf, B;Hennig, C
生物元素分析是地方性地区方法的替代方法，用于识别给定区域是否存在替代事件。如果祖先生物群因替代事件而支离破碎，那么生物元素或分布区域集群就会出现。我们提出了一种基于蒙特卡罗模拟的分布区域聚类统计测试，该模拟采用零模型，考虑了数据中的空间自相关性。测试的假设是，观察到的范围聚类程度可以通过范围大小分布、每个细胞的分类单元的不同数量以及单独分类单元出现的空间自相关来解释。介绍了一种基于模型的高斯聚类的生物元素界定方法。我们通过案例研究（对南部非洲象鼻虫属 Scobius 物种的分布模式的分析）展示了我们的方法并展示了网格大小的重要性。该示例强调了如果发生扩散则划定地方性区域的困难，并说明了生物元素方法的优点。
Biotic element analysis is an alternative to the areas-of-endemism approach for recognizing the presence or absence of vicariance events in a given region. If an ancestral biota was fragmented by vicariance events, biotic elements or clusters of distribution areas should emerge. We propose a statistical test for clustering of distribution areas based on a Monte Carlo simulation with a null model that considers the spatial autocorrelation in the data. The hypothesis tested is that the observed degree of clustering of ranges can be explained by the range size distribution, the varying number of taxa per cell, and the spatial autocorrelation of the occurrences of a taxon alone. A method for the delimitation of biotic elements which uses model-based Gaussian clustering is introduced. We demonstrate our methods and show the importance of grid size by means of a case study, an analysis of the distribution patterns of southern African species of the weevil genus Scobius. The example highlights the difficulties in delimiting areas of endemism if dispersal has occurred and illustrates the advantages of the biotic element approach.