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hal.structure.identifierUniversité de Bordeaux [UB]
dc.contributor.authorPICOCHE, Coralie
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierUniversité de Bordeaux [UB]
dc.contributor.authorBARRAQUAND, Frédéric
dc.date.accessioned2024-04-04T03:01:03Z
dc.date.available2024-04-04T03:01:03Z
dc.date.issued2019-04-04
dc.identifier.issn1874-1738
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/192867
dc.description.abstractEnExplaining coexistence in species-rich communities of primary producers remains a challenge for ecologists because of their likely competition for shared resources. Following Hutchinson's seminal suggestion, many theoreticians have tried to create diversity through a fluctuating environment, which impairs or slows down competitive exclusion. However, fluctuating-environment models often only produce a dozen of coexisting species at best. Here, we investigate how to create richer communities in fluctuating environments, using an empirically parameterized model. Building on the forced Lotka-Volterra model of Scranton and Vasseur (Theor Ecol 9(3):353-363, 2016), inspired by phytoplankton communities, we have investigated the effect of two coexistence mechanisms, namely the storage effect and higher intra-than interspecific competition strengths (i.e., strong self-regulation). We tuned the intra/inter competition ratio based on empirical analyses, in which self-regulation dominates interspecific interactions. Although a strong self-regulation maintained more species (50%) than the storage effect (25%), we show that none of the two coexistence mechanisms considered could ensure the coexistence of all species alone. Realistic seasonal environments only aggravated that picture, as they decreased persistence relative to a random environment. However, strong self-regulation and the storage effect combined superadditively so that all species could persist with both mechanisms at work. Our results suggest that combining different coexistence mechanisms into community models might be more fruitful than trying to find which mechanism best explains diversity. We additionally highlight that while biomass-trait distributions provide some clues regarding coexistence mechanisms, they cannot indicate unequivocally which mechanisms are at play.
dc.language.isoen
dc.publisherSpringer
dc.subject.encoexistence
dc.subject.enseasonality
dc.subject.encompetition
dc.subject.enphytoplankton
dc.subject.enLotka-Volterra
dc.subject.enstorage effect
dc.title.enHow self-regulation, the storage effect, and their interaction contribute to coexistence in stochastic and seasonal environments
dc.typeArticle de revue
dc.identifier.doi10.1007/s12080-019-0420-9
dc.subject.halSciences de l'environnement/Biodiversité et Ecologie
dc.subject.halMathématiques [math]/Systèmes dynamiques [math.DS]
bordeaux.journalTheoretical Ecology
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-02138000
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02138000v1
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