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Reconciling cooperation, biodiversity and stability in complex ecological communities.
Tu, Chengyi; Suweis, Samir; Grilli, Jacopo; Formentin, Marco; Maritan, Amos.
Afiliação
  • Tu C; School of Ecology and Environmental Science, Yunnan University, 650091, Kunming, China.
  • Suweis S; Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA, 94720-3114, USA.
  • Grilli J; Department of Physics and Astronomy "Galielo Galilei", University of Padova, Via Marzolo 8, 35131, Padova, Italy. suweis@pd.infn.it.
  • Formentin M; Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM, 87501, USA.
  • Maritan A; The Abdus Salam International Centre for Theoretical Physics (ICTP), Strada Costiera 11, 34014, Trieste, Italy.
Sci Rep ; 9(1): 5580, 2019 04 03.
Article em En | MEDLINE | ID: mdl-30944345
Empirical evidences show that ecosystems with high biodiversity can persist in time even in the presence of few types of resources and are more stable than low biodiverse communities. This evidence is contrasted by the conventional mathematical modeling, which predicts that the presence of many species and/or cooperative interactions are detrimental for ecological stability and persistence. Here we propose a modelling framework for population dynamics, which also include indirect cooperative interactions mediated by other species (e.g. habitat modification). We show that in the large system size limit, any number of species can coexist and stability increases as the number of species grows, if mediated cooperation is present, even in presence of exploitative or harmful interactions (e.g. antibiotics). Our theoretical approach thus shows that appropriate models of mediated cooperation naturally lead to a solution of the long-standing question about complexity-stability paradox and on how highly biodiverse communities can coexist.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biota Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Rep Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biota Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Rep Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China