Stochastic competitive exclusion leads to a cascade of species extinctions

Capitán Gómez, José Ángel ORCID: https://orcid.org/0000-0002-6245-0088, Cuenda, Sara and Alonso, David (2017). Stochastic competitive exclusion leads to a cascade of species extinctions. "Journal of Theoretical Biology" (n. 419); pp. 137-151. ISSN 0022-5193. https://doi.org/10.1016/j.jtbi.2017.02.007.

Descripción

Título: Stochastic competitive exclusion leads to a cascade of species extinctions
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Journal of Theoretical Biology
Fecha: Febrero 2017
ISSN: 0022-5193
Número: 419
Materias:
ODS:
Palabras Clave Informales: Competitive exclusión, Ecological drift, Continuous-time Markov processes
Escuela: E.T.S. de Edificación (UPM)
Departamento: Matemática Aplicada
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Community ecology has traditionally relied on the competitive exclusion principle, a piece of common wisdom in conceptual frameworks developed to describe species assemblages. Key concepts in community ecology, such as limiting similarity and niche partitioning, are based on competitive exclusion. However, this classical paradigm in ecology relies on implications derived from simple, deterministic models. Here we show how the predictions of a symmetric, deterministic model about the way extinctions proceed can be utterly different from the results derived from the same model when ecological drift (demographic stochasticity) is explicitly considered. Using analytical approximations to the steady-state conditional probabilities for assemblages with two and three species, we demonstrate that stochastic competitive exclusion leads to a cascade of extinctions, whereas the symmetric, deterministic model predicts a multiple collapse of species. To test the robustness of our results, we have studied the effect of environmental stochasticity and relaxed the species symmetry assumption. Our conclusions highlight the crucial role of stochasticity when deriving reliable theoretical predictions for species community assembly.

Proyectos asociados

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Código
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Gobierno de España
CGL2012-39964
SITES
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Gobierno de España
CGL2015-69043-P
BRIDGES
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Gobierno de España
RYC-2010-06545
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Más información

ID de Registro: 53356
Identificador DC: https://oa.upm.es/53356/
Identificador OAI: oai:oa.upm.es:53356
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/2682482
Identificador DOI: 10.1016/j.jtbi.2017.02.007
URL Oficial: https://www.sciencedirect.com/science/article/pii/...
Depositado por: Memoria Investigacion
Depositado el: 15 Ene 2019 12:40
Ultima Modificación: 12 Nov 2025 00:00