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涉及竞争和促进作用的网络基序可预测高山植物群落的生物多样性。

Network motifs involving both competition and facilitation predict biodiversity in alpine plant communities.

作者信息

Losapio Gianalberto, Schöb Christian, Staniczenko Phillip P A, Carrara Francesco, Palamara Gian Marco, De Moraes Consuelo M, Mescher Mark C, Brooker Rob W, Butterfield Bradley J, Callaway Ragan M, Cavieres Lohengrin A, Kikvidze Zaal, Lortie Christopher J, Michalet Richard, Pugnaire Francisco I, Bascompte Jordi

机构信息

Department of Environmental Systems Science, ETH Zurich, Zurich, 8006, Switzerland;

Department of Biology, Stanford University, Stanford, CA 94305.

出版信息

Proc Natl Acad Sci U S A. 2021 Feb 9;118(6). doi: 10.1073/pnas.2005759118.

Abstract

Biological diversity depends on multiple, cooccurring ecological interactions. However, most studies focus on one interaction type at a time, leaving community ecologists unsure of how positive and negative associations among species combine to influence biodiversity patterns. Using surveys of plant populations in alpine communities worldwide, we explore patterns of positive and negative associations among triads of species (modules) and their relationship to local biodiversity. Three modules, each incorporating both positive and negative associations, were overrepresented, thus acting as "network motifs." Furthermore, the overrepresentation of these network motifs is positively linked to species diversity globally. A theoretical model illustrates that these network motifs, based on competition between facilitated species or facilitation between inferior competitors, increase local persistence. Our findings suggest that the interplay of competition and facilitation is crucial for maintaining biodiversity.

摘要

生物多样性依赖于多种同时发生的生态相互作用。然而,大多数研究一次只关注一种相互作用类型,这使得群落生态学家不确定物种之间的正相关和负相关如何结合起来影响生物多样性模式。通过对全球高山群落中的植物种群进行调查,我们探索了物种三元组(模块)之间的正相关和负相关模式及其与当地生物多样性的关系。三个模块,每个都包含正相关和负相关,出现的频率过高,因此充当了“网络基序”。此外,这些网络基序出现频率过高与全球物种多样性呈正相关。一个理论模型表明,这些基于受促进物种之间的竞争或劣势竞争者之间的促进作用的网络基序增加了局部持久性。我们的研究结果表明,竞争和促进作用的相互作用对于维持生物多样性至关重要。

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本文引用的文献

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