Spatial autocorrelation analysis allows disentangling the balance between neutral and niche processes in metacommunities
Spatial autocorrelation analysis allows disentangling the balance between neutral and niche processes in metacommunities
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DOI：
10.1111/j.1600-0706.2011.19563.x
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发表时间：
2012-02-01
期刊：
影响因子：
3.4
通讯作者：
Bini, Luis Mauricio
中科院分区：
文献类型：
--
作者：
Diniz-Filho, Jose Alexandre F.;Siqueira, Tadeu;Bini, Luis Mauricio
最流行的方法之一，调查的作用，生态位和中性过程驱动的元生态系统模式包括分区的物种数据的变化到环境和空间组件。其逻辑是，社区中相似性的距离衰减是在中性模型下预期的。然而，由于环境变化往往是空间结构化的，衰减也可能归因于分析中缺失的环境因素。在这里，我们使用的空间自相关分析协议，以前开发的等位基因频率的距离检测隔离，评估模式下的物种丰度中性动态。我们表明，该协议可以与变化分区分析。此外，在尝试测试中性模型，我们得到三个预测既适用于原始物种丰度和丰度预测的纯空间模型物种丰度将是不相关的，莫兰的I相关图将揭示类似的短距离自相关模式;非中性程度的增加将倾向于在具有相似相关图的物种组内的丰度之间产生相关模式（即在具有中性和非中性动态的物种内）。我们通过分析亚马逊河流域中部28种陆地繁殖无尾类物种的丰富空间格局来说明我们的协议。我们建议研究人员应该调查纯空间模型预测的丰度的空间自相关模式，以确定在短距离和物种丰度之间缺乏相关性的空间自相关模式。因此，假设的空间格局的丰度主要是由于纯粹的中性动态（而不是失踪spatiallystructured环境因素）可以确认后，考虑到环境变量。
One of the most popular approaches for investigating the roles of niche and neutral processes driving metacommunity patterns consists of partitioning variation in species data into environmental and spatial components. The logic is that the distance decay of similarity in communities is expected under neutral models. However, because environmental variation is often spatially structured, the decay could also be attributed to environmental factors that are missing from the analysis. Here, we use a spatial autocorrelation analysis protocol, previously developed to detect isolation-by-distance in allele frequencies, to evaluate patterns of species abundances under neutral dynamics. We show that this protocol can be linked with variation partitioning analyses. Moreover, in an attempt to test the neutral model, we derive three predictions to be applied both to original species abundances and to abundances predicted by a pure spatial model species abundances will be uncorrelated; Moran's I correlograms will reveal similar short-distance autocorrelation patterns; an increasing degree of non-neutrality will tend to generate patterns of correlation among abundances within groups of species with similar correlograms (i.e. within species with neutral and non-neutral dynamics). We illustrate our protocol by analyzing spatial patterns in abundance of 28 terrestrially breeding anuran species from Central Amazonia. We recommend that researchers should investigate spatial autocorrelation patterns of abundances predicted by pure spatial models to identify similar patterns of spatial autocorrelation at short distances and lack of correlation between species abundances. Therefore, the hypothesis that spatial patterns in abundances are primarily due to pure neutral dynamics (rather than to missing spatiallystructured environmental factors) can be confirmed after taking environmental variables into account.