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

被引:4
|
作者
Coste, Christophe F. D. [1 ]
Bienvenu, Francois [2 ,3 ,4 ,5 ]
Ronget, Victor [6 ]
Ramirez-Loza, Juan-Pablo [7 ]
Cubaynes, Sarah [7 ]
Pavard, Samuel [6 ]
机构
[1] Norwegian Univ Sci & Technol, Ctr Biodivers Dynam, Dept Biol, Trondheim, Norway
[2] Transilvania Univ Brasov, Dept Math & Comp Sci, Brasov, Romania
[3] Univ Montpellier, Inst Sci Evolut Montpellier, CNRS, IRD,EPHE, Montpellier, France
[4] Univ Montpellier, UMR AGAP, INRAE, Inst Agro,CIRAD, Montpellier, France
[5] Univ Oxford, Dept Stat, Oxford, England
[6] Univ Paris Diderot, CNRS, Museum Natl Hist Nat Urelle, Unite Ecoanthropol EA, Paris, France
[7] Univ Montpellier, Univ Paul Valery Montpellier 3, CNRS, CEFE,EPHE,IRD, Montpellier, France
基金
英国工程与自然科学研究理事会;
关键词
familial structure; kinship demography; population projection matrices; relatedness; structured populations; FORMAL DEMOGRAPHY; GENERATION TIME; MODELS; KIN; FREQUENCIES; DYNAMICS; AGE;
D O I
10.1111/ele.13854
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
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.
引用
收藏
页码:2750 / 2762
页数:13
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