Journal
ECOLOGY LETTERS
Volume 24, Issue 12, Pages 2750-2762Publisher
WILEY
DOI: 10.1111/ele.13854
Keywords
familial structure; kinship demography; population projection matrices; relatedness; structured populations
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Funding
- Agence Nationale de la Recherche [ANR-18-CE02-0011, ANR-16-CE27-0013]
- Research Council of Norway (Centre of Excellence Grant) [223257]
- EPSRC [EP/N004833/1]
- Transilvania University of Brasov
- EPSRC [EP/N004833/1] Funding Source: UKRI
- Agence Nationale de la Recherche (ANR) [ANR-16-CE27-0013] Funding Source: Agence Nationale de la Recherche (ANR)
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This paper presents a general method for computing the expected number of arbitrary kin in a structured population from any matrix population model, emphasizing the importance of kinship structure in ecology, evolution, and conservation fields. The approach utilizes genealogical matrices and can provide individual-based and population-wide metrics of kinship, as well as analyze the sensitivity of the kinship structure to model-implemented traits.
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.
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