Is Phylogeographic Congruence Predicted by Historical Habitat Stability, or Ecological Co-associations?
Is Phylogeographic Congruence Predicted by Historical Habitat Stability, or Ecological Co-associations?
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DOI：
10.1093/isd/ixab018
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发表时间：
2021-09-07
影响因子：
3.4
通讯作者：
Oliver, Jeffrey C.
中科院分区：
文献类型：
--
作者：
Garrick, Ryan C.;Hyseni, Chaz;Oliver, Jeffrey C.
比较地理学研究可以区分对过去环境变化的特殊反应和社区范围内的反应。然而，到目前为止，物种相互作用的影响在很大程度上被忽视了。在这里，我们使用非遗传数据来描述两个竞争的情况下，预期水平的一致性之间的五个枯木相关（saponylic）无脊椎动物物种（即，一种以木材为食的蟑螂、白蚁和甲虫;一种捕食性蜈蚣和一种食草性千足虫），产于全球公认的特有物种中心--阿巴拉契亚山脉南部。在一种情况下，非生物因素主要驱动物种的反应，预测的一致性的基础上的空间重叠的气候稳定的栖息地面积估计每个物种通过生态位建模。第二种情况认为生物因素是最有影响力的，与代理物种的相互作用来预测一致性。线粒体和核DNA序列的分析集中在四个轴的比较：不同的空间遗传集群的数量和地理分布，生物地理结构，有效人口规模的变化，和历史的基因流动态。总的来说，我们发现更强的支持生态共生情景，这表明生物因素在限制或促进物种对更新世气候周期的反应方面具有重要影响。然而，遗传数据分析的预测和结果之间存在不完美的拟合。因此，虽然发人深省，结论仍然是试探性的，直到更多的数据物种相互作用变得可用。最后，这里提出的方法通过扩大推论的范围而不仅仅是考虑非生物驱动因素来推进比较生态地理学，我们认为这过于简单化了。这项工作还提供了保护相关的见解功能重要的生态社区的进化历史。
Comparative phylogeographic studies can distinguish between idiosyncratic and community-wide responses to past environmental change. However, to date, the impacts of species interactions have been largely overlooked. Here we used non-genetic data to characterize two competing scenarios about expected levels of congruence among five deadwood-associated (saproxylic) invertebrate species (i.e., a wood-feeding cockroach, termite, and beetle; a predatory centipede, and a detritivorous millipede) from the southern Appalachian Mountains-a globally recognized center of endemism. Under one scenario, abiotic factors primarily drove species' responses, with predicted congruence based on the spatial overlap of climatically stable habitat areas estimated for each species via ecological niche modeling. The second scenario considered biotic factors to be most influential, with proxies for species interactions used to predict congruence. Analyses of mitochondrial and nuclear DNA sequences focused on four axes of comparison: the number and geographic distribution of distinct spatial-genetic clusters, phylogeographic structure, changes in effective population size, and historical gene flow dynamics. Overall, we found stronger support for the ecological co-associations scenario, suggesting an important influence of biotic factors in constraining or facilitating species' responses to Pleistocene climatic cycles. However, there was an imperfect fit between predictions and outcomes of genetic data analyses. Thus, while thought-provoking, conclusions remain tentative until additional data on species interactions becomes available. Ultimately, the approaches presented here advance comparative phylogeography by expanding the scope of inferences beyond solely considering abiotic drivers, which we believe is too simplistic. This work also provides conservation-relevant insights into the evolutionary history of a functionally important ecological community.