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

Authors :
Coste, Christophe F. D.
Bienvenu, François
Ronget, Victor
Ramirez‐Loza, Juan‐Pablo
Cubaynes, Sarah
Pavard, Samuel
Coulson, Tim
Source :
Ecology Letters. Dec2021, Vol. 24 Issue 12, p2750-2762. 13p.
Publication Year :
2021

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1461023X
Volume :
24
Issue :
12
Database :
Academic Search Index
Journal :
Ecology Letters
Publication Type :
Academic Journal
Accession number :
153561461
Full Text :
https://doi.org/10.1111/ele.13854