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Bimodal trait distributions with large variances question the reliability of trait-based aggregate models

  • Functionally diverse communities can adjust their species composition to altered environmental conditions, which may influence food web dynamics. Trait-based aggregate models cope with this complexity by ignoring details about species identities and focusing on their functional characteristics (traits). They describe the temporal changes of the aggregate properties of entire communities, including their total biomasses, mean trait values, and trait variances. The applicability of aggregate models depends on the validity of their underlying assumptions that trait distributions are normal and exhibit small variances. We investigated to what extent this can be expected to work by comparing an innovative model that accounts for the full trait distributions of predator and prey communities to a corresponding aggregate model. We used a food web structure with well-established trade-offs among traits promoting mutual adjustments between prey edibility and predator selectivity in response to selection. We altered the shape of the trade-offsFunctionally diverse communities can adjust their species composition to altered environmental conditions, which may influence food web dynamics. Trait-based aggregate models cope with this complexity by ignoring details about species identities and focusing on their functional characteristics (traits). They describe the temporal changes of the aggregate properties of entire communities, including their total biomasses, mean trait values, and trait variances. The applicability of aggregate models depends on the validity of their underlying assumptions that trait distributions are normal and exhibit small variances. We investigated to what extent this can be expected to work by comparing an innovative model that accounts for the full trait distributions of predator and prey communities to a corresponding aggregate model. We used a food web structure with well-established trade-offs among traits promoting mutual adjustments between prey edibility and predator selectivity in response to selection. We altered the shape of the trade-offs to compare the outcome of the two models under different selection regimes, leading to trait distributions increasingly deviating from normality. Their biomass and trait dynamics agreed very well for stabilizing selection and reasonably well for directional selection, under which different trait values are favored at different times. However, for disruptive selection, the results of the aggregate model strongly deviated from the full trait distribution model that showed bimodal trait distributions with large variances. Hence, the outcome of aggregate models is reliable under ideal conditions but has to be questioned when confronted with more complex selection regimes and trait distributions, which are commonly observed in nature.show moreshow less

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Author details:Renato Mendes Coutinho, Toni KlauschiesGND, Ursula GaedkeORCiDGND
DOI:https://doi.org/10.1007/s12080-016-0297-9
ISSN:1874-1738
ISSN:1874-1746
Title of parent work (English):Theoretical ecology
Publisher:Springer
Place of publishing:Heidelberg
Publication type:Article
Language:English
Year of first publication:2016
Publication year:2016
Release date:2020/03/22
Tag:Communities as complex adaptive systems; Fitness gradient; Lumpiness in pattern formation and self-organization; Moment closure for trait-based aggregate model approaches; Multimodal trait distributions; Shape of trade-offs and stabilizing and disruptive selection
Volume:9
Number of pages:20
First page:389
Last Page:408
Funding institution:Sao Paulo Research Foundation (FAPESP), Brazil [2012/05949-6]; PNPD fellowship from CAPES (Brazil); German Research Foundation (DFG) [GA 401/19-1, 26-1]
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Biochemie und Biologie
Peer review:Referiert
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