系统地理一致性是由历史生境稳定性预测的,还是由生态共同关联预测的?

IF 3.2 1区 农林科学 Q1 ENTOMOLOGY Insect Systematics and Diversity Pub Date : 2021-09-01 DOI:10.1093/isd/ixab018
R. Garrick, Chaz Hyseni, Ísis C Arantes, L. Zachos, Peter C Zee, Jeffrey C. Oliver
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引用次数: 3

摘要

比较系统地理学研究可以区分对过去环境变化的特殊反应和社区反应。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五种与枯木相关的无脊椎动物物种(即食木蟑螂、白蚁和甲虫)之间的一致性预期水平的两种竞争情景;一种掠食性蜈蚣和一种食性千足虫)来自阿巴拉契亚山脉南部——一个全球公认的地方性中心。在一种情景下,非生物因子主要驱动物种的响应,通过生态位模型估计每个物种的气候稳定栖息地面积的空间重叠,预测一致性。第二种情景认为生物因素是最具影响力的,用物种相互作用的代理来预测一致性。线粒体和核DNA序列的分析主要集中在四个比较轴上:不同空间遗传集群的数量和地理分布、系统地理结构、有效种群规模的变化和历史基因流动动态。总体而言,我们发现了更强有力的支持生态共同关联情景,表明生物因子在限制或促进物种对更新世气候周期的响应方面具有重要影响。然而,在预测和基因数据分析的结果之间存在着不完美的契合。因此,虽然发人深省,结论仍然是试探性的,直到物种相互作用的额外数据得到。最终,本文提出的方法通过扩大推论范围,超越了我们认为过于简单化的非生物驱动因素,从而推进了比较系统地理学的发展。这项工作还为一个功能重要的生态群落的进化史提供了与保护相关的见解。
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Is Phylogeographic Congruence Predicted by Historical Habitat Stability, or Ecological Co-associations?
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.
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CiteScore
5.30
自引率
8.80%
发文量
34
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