Species richness correlates of raw and standardized co-occurrence metrics
Species richness correlates of raw and standardized co-occurrence metrics
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物种丰富度与原始共现指标和标准化共现指标相关
DOI：
10.1111/geb.12711
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发表时间：
2017
影响因子：
6.4
通讯作者：
Gotelli Nicholas J.
中科院分区：
文献类型：
--
作者：
Ulrich Werner;Kubota Yasuhiro;Kusumoto Buntarou;Baselga Andres;Tuomisto Hanna;Gotelli Nicholas J.
测量多个地点和环境中的β多样性和物种组成的变化是宏观生态学的一个主要研究焦点，已经提出了各种指标来量化物种×地点发生矩阵中的物种共存模式。然而，β多样性指数和物种共现指数通常在统计上依赖于集合中的物种数量。我们将几种常见的同现度量的结果与空间显式中性模型模拟生成的模式进行了比较。我们发现，共生和β多样性的所有指标，无论是原始的，重新缩放的还是通过零模型期望标准化的，都与景观的总物种丰富度高度相关。一个重要的例外是固定-固定零模型算法的效应量，该算法在矩阵随机化期间保留原始矩阵的行和列和。我们的研究结果需要仔细解释物种丰富度差异很大的集合的Meta分析。至少，观察到的物种丰富度应用作回归分析的统计协变量，固定-固定算法的结果应与其他随机化测试的结果进行仔细比较。
Measuring β‐diversity and changes in species composition across multiple sites and environments is a major research focus in macroecology, and a variety of metrics have been proposed to quantify species co‐occurrence patterns in a species × site occurrence matrix. However, indices of β‐diversity and species co‐occurrence are often statistically dependent on the number of species in an assemblage. We compared the results of several common co‐occurrence metrics with patterns generated by a spatially explicit neutral model simulation. We found that all measures of co‐occurrence and β‐diversity, whether raw, rescaled or standardized by a null model expectation, were highly correlated with the total species richness of the landscape. The one important exception were the effect sizes of the fixed–fixed null model algorithm, which preserves row and column sums of the original matrix during matrix randomization. Our results call for a careful interpretation of meta‐analyses of assemblages that differ widely in species richness. At a minimum, observed species richness should be used as a statistical covariate in regression analyses, and results of the fixed–fixed algorithm should be compared carefully with the results of other randomization tests.