On Testing the MacArthur-Wilson Model with Data on Rates

On Testing the MacArthur-Wilson Model with Data on Rates
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用利率数据检验麦克阿瑟-威尔逊模型

DOI:
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发表时间:
1988
影响因子:
2.9
通讯作者:
T. Schoener
T. Schoener
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
T. Schoener

文献摘要

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岛屿生物地理学的麦克阿瑟-威尔逊均衡理论对岛屿面积和与殖民者来源地的距离如何影响移民、灭绝和流动率做出了各种预测。这些预测(表1)可以根据使用的是绝对速率还是相对速率而有所不同;相对速率将绝对速率除以有关岛屿上物种数量的某个函数,以“控制”物种数量的差异。相对率,因为它们是变量的比率,受到比率相关性的伪影的影响;特别是,如果面积或距离与物种数量强烈相关,正如典型的那样,相对比率与面积或距离之间的人为相关性将导致混淆麦克阿瑟-威尔逊预测的检验。控制物种数量变化的另一种方法是将物种数量作为独立的自变量包括在以绝对率为因变量的多个回归中。对于一大组关于圆球蜘蛛的数据,这种方法被证明比以相对比率为因变量的回归更一致和更有说服力。推荐使用绝对速率法来检验麦克阿瑟-威尔逊关于面积和距离的预测。
The MacArthur-Wilson equilibrium theory of island biogeography makes various predictions about how island area and distance from a source of colonists affect immigration, extinction, and turnover rates. These predictions (table 1) can vary depending on whether absolute or relative rates are used; the relative rates divide absolute rates by some function of the number of species on the island in question to "control" for differences in species number. The relative rates, because they are ratios of variables, are subject to artifacts of ratio correlation; in particular, were area or distance strongly correlated with species number, as is typical, artifactual correlations between relative rates and area or distance would result, confounding the testing of MacArthur-Wilson predictions. An alternative method of controlling for variation in species number is to include species number as a separate independent variable in multiple regressions having the absolute rates as dependent variables. For a large set of data on orb spiders, this method was shown more consistent and conclusive than regressions having the relative rates as dependent variables. The absolute-rate method is recommended for testing MacArthur-Wilson predictions about area and distance.