Your browser doesn't support javascript.
loading
The kinship matrix: inferring the kinship structure of a population from its demography.
Coste, Christophe F D; Bienvenu, François; Ronget, Victor; Ramirez-Loza, Juan-Pablo; Cubaynes, Sarah; Pavard, Samuel.
Afiliação
  • Coste CFD; Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway.
  • Bienvenu F; Department of Mathematics and Computer Science, Transilvania University of Brasov, Brasov, Romania.
  • Ronget V; Institut des Sciences de l'Evolution de Montpellier, Université de Montpellier, CNRS, IRD, EPHE, Montpellier, France.
  • Ramirez-Loza JP; UMR AGAP, Université de Montpellier, CIRAD, INRAE, L'institut Agro, Montpellier, France.
  • Cubaynes S; Department of Statistics, University of Oxford, Oxford, United Kingdom.
  • Pavard S; Unité Eco-anthropologie (EA), Muséum National d'Histoire Naturelle, CNRS, Université Paris Diderot, Paris, France.
Ecol Lett ; 24(12): 2750-2762, 2021 Dec.
Article em En | MEDLINE | ID: mdl-34609786
ABSTRACT
The familial structure of a population and the relatedness of its individuals are determined by its demography. There is, however, no general method to infer kinship directly from the life cycle of a structured population. Yet, this question is central to fields such as ecology, evolution and conservation, especially in contexts where there is a strong interdependence between familial structure and population dynamics. Here, we give a general formula to compute, from any matrix population model, the expected number of arbitrary kin (sisters, nieces, cousins, etc) of a focal individual ego, structured by the class of ego and of its kin. Central to our approach are classic but little-used tools known as genealogical matrices. Our method can be used to obtain both individual-based and population-wide metrics of kinship, as we illustrate. It also makes it possible to analyse the sensitivity of the kinship structure to the traits implemented in the model.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Dinâmica Populacional Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Dinâmica Populacional Idioma: En Ano de publicação: 2021 Tipo de documento: Article