Evolutionarily Distinct Species and Their Partners Have Fewer Links in Ecological Networks

IF 6.3 1区 环境科学与生态学 Q1 ECOLOGY
Avery M. Kruger, T. Jonathan Davies
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引用次数: 0

Abstract

Aim

Ecological networks describe the complex set of interconnections among species and their environment, and network structure can inform the stability, resilience, and functioning of ecosystems. Increasing attention is being paid to the mechanisms that determine species interactions. Phylogeny has informed our understanding of connections within networks, mostly by describing the strength of phylogenetic conservation of interactions. Here, we examine how the phylogenetic position of a species relates to its functional position within a network, testing the relationship between phylogenetic and network topologies.

Location

Global.

Time Period

Early 20th century to present.

Major Taxa Studied

Birds and plants.

Methods

We used a large dataset of frugivore interactions to calculate the network degree of focal species (degree) and the partners they interact with (partner degree) and bird and plant phylogenies to calculate local evolutionary distinctiveness (ED), a measure of evolutionary distinctiveness calculated on a community-level phylogeny. We then fit binomial Bayesian models to estimate the effect of species' local ED on their degree and that of their partners. In avian networks, we incorporated bird traits from AVONET in models to determine their contributions to degree and partner degree relative to those of local ED.

Results

The partners of both high local ED birds and plants tend to have fewer interactions in a network than do partners of low local ED species, and birds with high local ED tend to interact with fewer plant species. In birds, the statistical effect sizes of local ED on degree and partner degree are comparable to or larger than those of measured traits.

Main Conclusions

Our analysis illustrates how phylogenetic relationships affect present-day ecologies and underscores the unique ecological contribution of evolutionary outliers.

Abstract Image

进化上不同的物种及其伴侣在生态网络中的联系较少
目的生态网络描述了物种与其环境之间复杂的相互联系,网络结构可以为生态系统的稳定性、弹性和功能提供信息。人们越来越关注决定物种相互作用的机制。系统发育学主要通过描述相互作用的系统发育保护的强度,使我们了解了网络内的联系。在这里,我们研究了物种的系统发育位置如何与其在网络中的功能位置相关,测试了系统发育和网络拓扑结构之间的关系。位置 全球。时间:20世纪初至今。主要分类群研究鸟类和植物。方法利用大型果食动物相互作用数据集,计算焦点物种的网络度(度)及其相互作用的伙伴(度),并计算鸟类和植物系统发生的局部进化独特性(ED),这是在群落水平系统发生上计算的进化独特性度量。然后,我们拟合二项贝叶斯模型来估计物种的局部ED对它们及其伴侣的程度的影响。在鸟类网络中,我们将AVONET的鸟类性状纳入模型,以确定它们相对于局部ED的贡献程度和伴侣度。结果高局部ED的鸟类和植物的伴侣在网络中的相互作用比低局部ED的物种的伴侣少,高局部ED的鸟类与植物的相互作用更少。在鸟类中,局部ED对度和伴侣度的统计效应大小与测量性状的统计效应大小相当或更大。我们的分析说明了系统发育关系如何影响当今的生态,并强调了进化异常值的独特生态贡献。
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来源期刊
Global Ecology and Biogeography
Global Ecology and Biogeography 环境科学-生态学
CiteScore
12.10
自引率
3.10%
发文量
170
审稿时长
3 months
期刊介绍: Global Ecology and Biogeography (GEB) welcomes papers that investigate broad-scale (in space, time and/or taxonomy), general patterns in the organization of ecological systems and assemblages, and the processes that underlie them. In particular, GEB welcomes studies that use macroecological methods, comparative analyses, meta-analyses, reviews, spatial analyses and modelling to arrive at general, conceptual conclusions. Studies in GEB need not be global in spatial extent, but the conclusions and implications of the study must be relevant to ecologists and biogeographers globally, rather than being limited to local areas, or specific taxa. Similarly, GEB is not limited to spatial studies; we are equally interested in the general patterns of nature through time, among taxa (e.g., body sizes, dispersal abilities), through the course of evolution, etc. Further, GEB welcomes papers that investigate general impacts of human activities on ecological systems in accordance with the above criteria.
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