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基于特征分析揭示的北美的淡水鱼类区系的物种入侵性和群落入侵性。

Species invasiveness and community invasibility of North American freshwater fish fauna revealed via trait-based analysis.

机构信息

Center for Advanced Systems Understanding (CASUS), Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Görlitz, Germany.

Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China.

出版信息

Nat Commun. 2023 Apr 22;14(1):2332. doi: 10.1038/s41467-023-38107-2.

DOI:10.1038/s41467-023-38107-2
PMID:37087448
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10122662/
Abstract

While biological invasions are recognized as a major threat to global biodiversity, determining non-native species' abilities to establish in new areas (species invasiveness) and the vulnerability of those areas to invasions (community invasibility) is challenging. Here, we use trait-based analysis to profile invasive species and quantify the community invasibility for >1,800 North American freshwater fish communities. We show that, in addition to effects attributed to propagule pressure caused by human intervention, species with higher fecundity, longer lifespan and larger size tend to be more invasive. Community invasibility peaks when the functional distance among native species was high, leaving unoccupied functional space for the establishment of potential invaders. Our findings illustrate how the functional traits of non-native species determining their invasiveness, and the functional characteristics of the invaded community determining its invasibility, may be identified. Considering those two determinants together will enable better predictions of invasions.

摘要

虽然生物入侵被认为是对全球生物多样性的主要威胁,但确定非本地物种在新地区建立的能力(物种入侵性)和这些地区对入侵的脆弱性(群落可入侵性)具有挑战性。在这里,我们使用基于特征的分析来描述入侵物种,并对超过 1800 个北美的淡水鱼类群落的群落可入侵性进行量化。我们表明,除了归因于人类干预引起的繁殖体压力的影响外,繁殖力较高、寿命较长和体型较大的物种往往更具入侵性。当本地物种之间的功能距离较高时,群落的可入侵性达到峰值,为潜在入侵物种的建立留下了未被占据的功能空间。我们的研究结果表明,如何确定决定非本地物种入侵性的功能特征,以及决定入侵群落可入侵性的功能特征,这些都可以被识别出来。同时考虑这两个决定因素将能够更好地预测入侵。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c2a/10122662/8656e13c2477/41467_2023_38107_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c2a/10122662/aa4be80056e0/41467_2023_38107_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c2a/10122662/912ad4dcf9da/41467_2023_38107_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c2a/10122662/984d75a2698d/41467_2023_38107_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c2a/10122662/153951101210/41467_2023_38107_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c2a/10122662/8656e13c2477/41467_2023_38107_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c2a/10122662/aa4be80056e0/41467_2023_38107_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c2a/10122662/912ad4dcf9da/41467_2023_38107_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c2a/10122662/984d75a2698d/41467_2023_38107_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c2a/10122662/153951101210/41467_2023_38107_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c2a/10122662/8656e13c2477/41467_2023_38107_Fig5_HTML.jpg

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