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Self-organised pattern formation increases local diversity in metacommunities

  • Self-organised formation of spatial patterns is known from a variety of different ecosystems, yet little is known about how these patterns affect the diversity of communities. Here, we use a food chain model in which autotroph diversity is described by a continuous distribution of a trait that affects both growth and defence against heterotrophs. On isolated patches, diversity is always lost over time due to stabilising selection, and the local communities settle on one of two alternative stable community states that are characterised by a dominance of either defended or undefended species. In a metacommunity context, dispersal can destabilise these states and complex spatio-temporal patterns in the species' abundances emerge. The resulting biomass-trait feedback increases local diversity by an order of magnitude compared to scenarios without self-organised pattern formation, thereby maintaining the ability of communities to adapt to potential future changes in biotic or abiotic environmental conditions.

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Author details:Christian GuillORCiDGND, Janne HülsemannORCiD, Toni KlauschiesORCiDGND
DOI:https://doi.org/10.1111/ele.13880
ISSN:1461-023X
ISSN:1461-0248
Pubmed ID:https://pubmed.ncbi.nlm.nih.gov/34558161
Title of parent work (English):Ecology letters
Publisher:Wiley-Blackwell
Place of publishing:Oxford
Publication type:Article
Language:English
Date of first publication:2021/09/23
Publication year:2021
Release date:2022/10/14
Tag:Turing instability; biomass-trait feedback; diversity; fitness gradient; food chain; functional; metacommunity; self-organisation; source-sink dynamics; spatio-temporal pattern; trait-based aggregate model
Volume:24
Issue:12
Number of pages:11
First page:2624
Last Page:2634
Funding institution:German Research Foundation (DFG)German Research Foundation (DFG) [GU 1645/1-1]
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Biochemie und Biologie
DDC classification:5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Peer review:Referiert
Publishing method:Open Access / Hybrid Open-Access
License (German):License LogoCC-BY - Namensnennung 4.0 International
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