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Journal Articles Ecology Letters Year : 2021

The kinship matrix: inferring the kinship structure of a population from its demography

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 kinshipstructure to the traits implemented in the model.
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Dates and versions

mnhn-03426026 , version 1 (03-06-2022)

Licence

Attribution - NonCommercial - NoDerivatives

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Christophe Coste, François Bienvenu, Victor Ronget, Juan‐pablo Ramirez‐loza, Sarah Cubaynes, et al.. The kinship matrix: inferring the kinship structure of a population from its demography. Ecology Letters, 2021, 24 (12), pp.2750-2762. ⟨10.1111/ele.13854⟩. ⟨mnhn-03426026⟩
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