Greater Resolution of Distributional Complementarities by Controlling for Habitat Affinities: A Study with Bahamian Lizards and Birds
Greater Resolution of Distributional Complementarities by Controlling for Habitat Affinities: A Study with Bahamian Lizards and Birds
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通过控制栖息地亲缘性来更好地解决分布互补性：对巴哈马蜥蜴和鸟类的研究
DOI：
10.1086/285187
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发表时间：
1991
期刊：
影响因子：
--
通讯作者：
G. Adler
中科院分区：
文献类型：
--
作者：
T. Schoener;G. Adler
我们提出了一种新的多变量方法，在检验物种之间的分布互补性时控制栖息地亲和力，并将其应用于巴哈马群岛521个岛屿上的40种蜥蜴和鸟类。该方法以感兴趣物种的出现(存在或不存在)数据为因变量，以连续变化的生境或岛屿特征(如岛屿面积)为自变量。从技术上讲，它结合了逻辑回归方法和多向列联表方法(NerLove和Press 1973)。因此，该方法允许同时评估逐个物种的栖息地关系和逐个物种的关系(即，物种相互作用)。我们发现：(1)当考虑生境关系时，物种间的相互作用总体上变得更加消极；(2)生境关系在统计学上比物种间的相互作用更显著；(3)三个物种间的相互作用往往比两个物种间的相互作用更具负性；(4)与主成分接近生境变量相比，原始(“真实”)生境变量减少了更多的变异，并给出了更强的趋势。这些显着的负面相互作用的集合主要可以根据跨越微观到宏观地理尺度的分布互补性来解释。我们强烈建议在测试物种相互作用的发生数据时控制栖息地关系。
We present a new multivariate method that controls for habitat affinities when testing for distributional complementarities between species, and we apply it to 40 lizard and bird species on 521 islands of the Bahamas The method uses occurrence (presence or absence) data for the species of interest as dependent variables and continuously varying habitat or island characteristics (e g., island area) as independent variables. Technically, it combines a logistic regression approach with a multiway-contingency-table approach (Nerlove and Press 1973). The method thus allows simultaneous evaluation of habitat-by-species relations and species-by-species relations (i.e., species interactions). We find that (1) species interactions overall become substantially more negative once habitat relations are taken into account; (2) habitat relations are statistically more significant than species interactions; (3) three-species interactions tend to be more often negative than two-species interactions; and (4) raw ("real") habitat variables reduce more of the variation and give stronger trends than do principal-components approach habitat variables. The collection of significantly negative interactions can mostly be interpreted on the basis of distributional complementarities that span the micro- to macrogeographic scale. We strongly recommend controlling for habitat relations when testing occurrence data for species interactions.