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Journal article

How to make an inclusive-fitness model

Abstract:
Social behaviours are typically modelled using neighbour-modulated fitness, which focuses on individuals having their fitness altered by neighbours. However, these models are either interpreted using inclusive fitness, which focuses on individuals altering the fitness of neighbours, or not interpreted at all. This disconnect leads to interpretational mistakes and obscures the adaptive significance of behaviour. We bridge this gap by presenting a systematic methodology for constructing inclusive-fitness models. We find a behaviour’s ‘inclusive-fitness effect’ by summing primary and secondary deviations in reproductive value. Primary deviations are the immediate result of a social interaction; for example, the cost and benefit of an altruistic act. Secondary deviations are compensatory effects that arise because the total reproductive value of the population is fixed; for example, the increased competition that follows an altruistic act. Compared to neighbour-modulated fitness methodologies, our approach is often simpler and reveals the model’s inclusive-fitness narrative clearly. We implement our methodology first in a homogeneous population, with supplementary examples of help under synergy, help in a viscous population and Creel’s paradox. We then implement our methodology in a class-structured population, where the advantages of our approach are most evident, with supplementary examples of altruism between age classes, and sex-ratio evolution.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1098/rspb.2023.1310

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Oxford college:
Wadham College
Role:
Author
ORCID:
0000-0002-5941-3905


Publisher:
The Royal Society
Journal:
Proceedings of the Royal Society B: Biological Sciences More from this journal
Volume:
290
Issue:
2008
Article number:
20231310
Publication date:
2023-10-04
Acceptance date:
2023-09-05
DOI:
EISSN:
1471-2954
ISSN:
0962-8452


Language:
English
Keywords:
Subjects:
Pubs id:
1514023
Local pid:
pubs:1514023
Deposit date:
2023-08-20
ARK identifier:

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