首页> 外文期刊>Oecologia >Interaction type influences ecological network structure more than local abiotic conditions: evidence from endophytic and endolichenic fungi at a continental scale
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Interaction type influences ecological network structure more than local abiotic conditions: evidence from endophytic and endolichenic fungi at a continental scale

机译:相互作用类型对生态网络结构的影响大于局部非生物条件:大陆范围内生真菌和内生苔藓真菌的证据

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摘要

Understanding the factors that shape community assembly remains one of the most enduring and important questions in modern ecology. Network theory can reveal rules of community assembly within and across study systems and suggest novel hypotheses regarding the formation and stability of communities. However, such studies generally face the challenge of disentangling the relative influence of factors such as interaction type and environmental conditions on shaping communities and associated networks. Endophytic and endolichenic symbioses, characterized by microbial species that occur within healthy plants and lichen thalli, represent some of the most ubiquitous interactions in nature. Fungi that engage in these symbioses are hyperdiverse, often horizontally transmitted, and functionally beneficial in many cases, and they represent the diversification of multiple phylogenetic groups. We evaluated six measures of ecological network structure for > 4100 isolates of endophytic and endolichenic fungi collected systematically from five sites across North America. Our comparison of these co-occurring interactions in biomes ranging from tundra to subtropical forest showed that the type of interactions (i.e., endophytic vs. endolichenic) had a much more pronounced influence on network structure than did environmental conditions. In particular, endophytic networks were less nested, less connected, and more modular than endolichenic networks in all sites. The consistency of the network structure within each interaction type, independent of site, is encouraging for current efforts devoted to gathering metadata on ecological network structure at a global scale. We discuss several mechanisms potentially responsible for such patterns and draw attention to knowledge gaps in our understanding of networks for diverse interaction types.
机译:了解影响社区集会的因素仍然是现代生态学中最持久,最重要的问题之一。网络理论可以揭示研究系统内部和整个研究系统中的社区组装规则,并提出有关社区形成和稳定性的新颖假设。但是,这类研究通常面临着解开诸如相互作用类型和环境条件等因素对塑造社区和相关网络的相对影响的挑战。内生共生和内生共生共生体的特征是健康植物和地衣藻中存在的微生物,代表了自然界中最普遍的相互作用。参与这些共生的真菌是多种多样的,通常是水平传播的,并且在许多情况下在功能上是有益的,并且它们代表了多个系统发生群体的多样化。我们评估了从北美洲五个地点系统收集的内生真菌和内毒素真菌的4100多种分离物的六种生态网络结构度量。我们对从苔原到亚热带森林的生物群落中这些同时发生的相互作用的比较表明,相互作用的类型(即,内生性与内生性苔藓之间的相互作用)对网络结构的影响远大于环境条件。特别是,与所有地方的内胚层网络相比,内生网络的嵌套性,连接性和模块化程度更低。在不依赖于站点的每种交互类型中,网络结构的一致性对于当前致力于在全球范围内收集有关生态网络结构的元数据的努力是令人鼓舞的。我们讨论了可能导致这种模式的几种机制,并在我们对各种交互类型的网络的理解中引起对知识空白的关注。

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