Detalle de: Mutualism supports biodiversity when the direct competition is weak
| Title | Mutualism supports biodiversity when the direct competition is weak |
| Abstract |
A key question of theoretical ecology is which properties of ecosystems favour their stability and help maintaining biodiversity. This question recently reconsidered mutualistic systems, generating intense controversy about the role of mutualistic interactions and their network architecture. Here we show analytically and verify with simulations that reducing the effective interspecific competition and the propagation of perturbations positively influences structural stability against environmental perturbations, enhancing persistence. Noteworthy, mutualism reduces the effective interspecific competition only when the direct interspecific competition is weaker than a critical value. This critical competition is in almost all cases larger in pollinator networks than in random networks with the same connectance. Highly connected mutualistic networks reduce the propagation of environmental perturbations, a mechanism reminiscent of MacArthur’s proposal that ecosystem complexity enhances stability. Our analytic framework rationalizes previous contradictory results, and it gives valuable insight on the complex relationship between mutualism and biodiversity. |
| Apa Reference | Pascual-García, A., & Bastolla, U. (2017). Mutualism supports biodiversity when the direct competition is weak. Nature Communications, 8(1). 10.1038/ncomms14326 |
| Doi | 10.1038/ncomms14326 |
| Publication Date | 24 Feb 2017 |
| Publication Type | Article |
| Researcher | Ugo Bastolla |
| Ontology | Functional annotation, Function prediction, Structural bioinformatics, Molecular flexibility, Molecular evolution, Conservation Analysis, Evolutionary modelling, Ecological modelling, Sequence Alignment, Phylogenetic Analysis, Mutation Analysis and design, Network Biology, Structure-function relationship, Evolutionary rates, Microbial communities, Population dynamics |
| Research Groups | Computational biology and Bioinformatics (CBM): from Proteins to Ecosystems |
| Tools |
