Bimodal trait distributions with large variances question the reliability of trait-based aggregate models
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s12080-016-0297-9 http://hdl.handle.net/11449/162207 |
Resumo: | 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-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. |
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Bimodal trait distributions with large variances question the reliability of trait-based aggregate modelsFitness gradientCommunities as complex adaptive systemsMoment closure for trait-based aggregate model approachesMultimodal trait distributionsLumpiness in pattern formation and self-organizationShape of trade-offs and stabilizing and disruptive selectionFunctionally 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.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)German Research Foundation (DFG)Univ Estadual Paulista, Inst Fis Teor, Sao Paulo, BrazilUniv Potsdam, Inst Biochem & Biol, Dept Ecol & Ecosyst Modeling, Potsdam, GermanyUniv Estadual Paulista, Inst Fis Teor, Sao Paulo, BrazilFAPESP: 2012/05949-6German Research Foundation (DFG): GA 401/19-1German Research Foundation (DFG): 26-1SpringerUniversidade Estadual Paulista (Unesp)Univ PotsdamCoutinho, Renato Mendes [UNESP]Klauschies, ToniGaedke, Ursula2018-11-26T17:12:14Z2018-11-26T17:12:14Z2016-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article389-408application/pdfhttp://dx.doi.org/10.1007/s12080-016-0297-9Theoretical Ecology. Heidelberg: Springer Heidelberg, v. 9, n. 4, p. 389-408, 2016.1874-1738http://hdl.handle.net/11449/16220710.1007/s12080-016-0297-9WOS:000388954400002WOS000388954400002.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengTheoretical Ecology0,873info:eu-repo/semantics/openAccess2024-01-20T06:31:08Zoai:repositorio.unesp.br:11449/162207Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:29:24.388476Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Bimodal trait distributions with large variances question the reliability of trait-based aggregate models |
title |
Bimodal trait distributions with large variances question the reliability of trait-based aggregate models |
spellingShingle |
Bimodal trait distributions with large variances question the reliability of trait-based aggregate models Coutinho, Renato Mendes [UNESP] Fitness gradient Communities as complex adaptive systems Moment closure for trait-based aggregate model approaches Multimodal trait distributions Lumpiness in pattern formation and self-organization Shape of trade-offs and stabilizing and disruptive selection |
title_short |
Bimodal trait distributions with large variances question the reliability of trait-based aggregate models |
title_full |
Bimodal trait distributions with large variances question the reliability of trait-based aggregate models |
title_fullStr |
Bimodal trait distributions with large variances question the reliability of trait-based aggregate models |
title_full_unstemmed |
Bimodal trait distributions with large variances question the reliability of trait-based aggregate models |
title_sort |
Bimodal trait distributions with large variances question the reliability of trait-based aggregate models |
author |
Coutinho, Renato Mendes [UNESP] |
author_facet |
Coutinho, Renato Mendes [UNESP] Klauschies, Toni Gaedke, Ursula |
author_role |
author |
author2 |
Klauschies, Toni Gaedke, Ursula |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Univ Potsdam |
dc.contributor.author.fl_str_mv |
Coutinho, Renato Mendes [UNESP] Klauschies, Toni Gaedke, Ursula |
dc.subject.por.fl_str_mv |
Fitness gradient Communities as complex adaptive systems Moment closure for trait-based aggregate model approaches Multimodal trait distributions Lumpiness in pattern formation and self-organization Shape of trade-offs and stabilizing and disruptive selection |
topic |
Fitness gradient Communities as complex adaptive systems Moment closure for trait-based aggregate model approaches Multimodal trait distributions Lumpiness in pattern formation and self-organization Shape of trade-offs and stabilizing and disruptive selection |
description |
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-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. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-12-01 2018-11-26T17:12:14Z 2018-11-26T17:12:14Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/s12080-016-0297-9 Theoretical Ecology. Heidelberg: Springer Heidelberg, v. 9, n. 4, p. 389-408, 2016. 1874-1738 http://hdl.handle.net/11449/162207 10.1007/s12080-016-0297-9 WOS:000388954400002 WOS000388954400002.pdf |
url |
http://dx.doi.org/10.1007/s12080-016-0297-9 http://hdl.handle.net/11449/162207 |
identifier_str_mv |
Theoretical Ecology. Heidelberg: Springer Heidelberg, v. 9, n. 4, p. 389-408, 2016. 1874-1738 10.1007/s12080-016-0297-9 WOS:000388954400002 WOS000388954400002.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Theoretical Ecology 0,873 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
389-408 application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129525090877440 |