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物种-功能在多层生态网络中的参与结构。

On the structure of species-function participation in multilayer ecological networks.

机构信息

Mediterranean Institute for Advanced Studies (IMEDEA, CSIC-UIB), Esporles, Mallorca, Illes Balears, Spain.

Centre for Functional Ecology (CFE), TERRA Associate Laboratory, Department of Life Sciences, University of Coimbra, Coimbra, Portugal.

出版信息

Nat Commun. 2024 Oct 23;15(1):8910. doi: 10.1038/s41467-024-53001-1.

DOI:10.1038/s41467-024-53001-1
PMID:39443479
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11499872/
Abstract

Understanding how biotic interactions shape ecosystems and impact their functioning, resilience and biodiversity has been a sustained research priority in ecology. Yet, traditional assessments of ecological complexity typically focus on species-species interactions that mediate a particular function (e.g., pollination), overlooking both the synergistic effect that multiple functions might develop as well as the resulting species-function participation patterns that emerge in ecosystems that harbor multiple ecological functions. Here we propose a mathematical framework that integrates various types of biotic interactions observed between different species. Its application to recently collected data of an islet ecosystem-reporting 1537 interactions between 691 plants, animals and fungi across six different functions (pollination, herbivory, seed dispersal, decomposition, nutrient uptake, and fungal pathogenicity)-unveils a non-random, nested structure in the way plant species participate across different functions. The framework further allows us to identify a ranking of species and functions, where woody shrubs and fungal decomposition emerge as keystone actors whose removal have a larger-than-random effect on secondary extinctions. The dual insight-from species and functional perspectives-offered by the framework opens the door to a richer quantification of ecosystem complexity and to better calibrate the influence of multifunctionality on ecosystem functioning and biodiversity.

摘要

理解生物相互作用如何塑造生态系统并影响其功能、弹性和生物多样性,一直是生态学中的一个持续研究重点。然而,传统的生态复杂性评估通常侧重于介导特定功能的物种-物种相互作用(例如传粉),而忽略了多种功能可能产生的协同效应,以及在具有多种生态功能的生态系统中出现的物种-功能参与模式。在这里,我们提出了一个数学框架,该框架整合了不同物种之间观察到的各种类型的生物相互作用。将其应用于最近收集的一个岛屿生态系统的数据-报告了 691 种植物、动物和真菌之间的 1537 种相互作用,涉及六种不同的功能(传粉、食草、种子传播、分解、养分吸收和真菌致病性)-揭示了植物物种在不同功能中的参与方式存在非随机的嵌套结构。该框架还允许我们确定物种和功能的排名,其中木本灌木和真菌分解作用成为关键因素,其去除对二级灭绝的影响大于随机影响。该框架从物种和功能角度提供的双重见解,为更丰富地量化生态系统复杂性以及更好地校准多功能性对生态系统功能和生物多样性的影响打开了大门。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14b9/11499872/fea869d33083/41467_2024_53001_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14b9/11499872/06406f711228/41467_2024_53001_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14b9/11499872/563dae3d6dd3/41467_2024_53001_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14b9/11499872/af2c17a2b7f4/41467_2024_53001_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14b9/11499872/f84b434c0f29/41467_2024_53001_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14b9/11499872/fea869d33083/41467_2024_53001_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14b9/11499872/06406f711228/41467_2024_53001_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14b9/11499872/563dae3d6dd3/41467_2024_53001_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14b9/11499872/af2c17a2b7f4/41467_2024_53001_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14b9/11499872/f84b434c0f29/41467_2024_53001_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14b9/11499872/fea869d33083/41467_2024_53001_Fig5_HTML.jpg

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