Demographic effects of aggregation in the presence of a component Allee effect

Autor(es)

Jorge, Daniel C. P. ; Martinez-Garcia, Ricardo

• Tipo de documento: Artigo Científico
• Fonte: Journal of the Royal Society Interface; v. 21, n. 214, p. 13-pg., 2024-06-25.

Resumo

The component Allee effect (AE) is the positive correlation between an organism's fitness component and population density. Depending on the population spatial structure, which determines the interactions between organisms, a component AE might lead to positive density dependence in the population per-capita growth rate and establish a demographic AE. However, existing spatial models impose a fixed population spatial structure, which limits the understanding of how a component AE and spatial dynamics jointly determine the existence of demographic AEs. We introduce a spatially explicit theoretical framework where spatial structure and population dynamics are emergent properties of the individual-level demographic and movement rates. This framework predicts various spatial patterns depending on its specific parametrization, including evenly spaced aggregates of organisms, which determine the demographic-level by-products of the component AE. We find that aggregation increases population abundance and allows population survival in harsher environments and at lower global population densities when compared with uniformly distributed organisms. Moreover, aggregation can prevent the component AE from manifesting at the population level or restrict it to the level of each independent aggregate. These results provide a mechanistic understanding of how component AEs might operate for different spatial structures and manifest at larger scales. (AU)

• Processo FAPESP: 16/01343-7 - ICTP Instituto Sul-Americano para Física Fundamental: um centro regional para física teórica
• Beneficiário: Nathan Jacob Berkovits
• Modalidade de apoio: Auxílio à Pesquisa - Projetos Especiais
• Processo FAPESP: 20/15643-8 - Padrões de agregação de organismos vivos: conectando a modelagem matemática aos dados experimentais
• Beneficiário: Daniel Cardoso Pereira Jorge
• Modalidade de apoio: Bolsas no Brasil - Mestrado
• Processo FAPESP: 19/05523-8 - Em busca de uma teoria mecanicista para padrões biológicos e possibilidades de uso para gerenciamento de seus ecossistemas
• Beneficiário: Ricardo Martinez Garcia
• Modalidade de apoio: Auxílio à Pesquisa - Programa BIOTA - Jovens Pesquisadores