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A Robust and Versatile Mating Function for Two‐Sex Population Projection Models Fitting all Types of Mating Systems
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Christophe Coste,
Jean‐Michel Gaillard ,
Agathe Chassagneux,
Emmanuelle Richard,
Eric Baubet,
Marlène Gamelon
Ecology Letters, Volume: 27, Issue: 11, Start page: e70013
Swansea University Author: Christophe Coste
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DOI (Published version): 10.1111/ele.70013
Abstract
Commonly used two‐sex discrete‐time population projection models rely on mating functions developed for continuous‐time frameworks that overestimate the number of unions between reproductive individuals. This has important consequences for our understanding of the evolution and demography of two‐sex...
| Published in: | Ecology Letters |
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| ISSN: | 1461-023X 1461-0248 |
| Published: |
Wiley
2024
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa68440 |
| Abstract: |
Commonly used two‐sex discrete‐time population projection models rely on mating functions developed for continuous‐time frameworks that overestimate the number of unions between reproductive individuals. This has important consequences for our understanding of the evolution and demography of two‐sex populations and consequently for management and conservation. Here, we propose a novel mating function that is robust by obeying all properties necessary to be ecologically valid and flexible by accommodating all mating systems and efficiency in mating encounters. We illustrate the usefulness of this novel function with an application to the sexually size‐dimorphic and polygynous wild boar (Sus scrofa). We show that the population growth rate depends on the harem size, the operational sex ratio, and the mating efficiency. This novel function can be applied to all mating systems and tactics and is highly relevant in the context of global changes under which mating systems and mating efficiency are expected to change. |
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| Item Description: |
Letter |
| Keywords: |
Mating efficiency, mating function, monogamous, operational sex ratio, polyandrous, polygynous, population dynamics, promiscuous |
| College: |
Faculty of Science and Engineering |
| Funders: |
This work was supported by Fondation François Sommer, Office Français de la Biodiversité, Association Nationale de la Recherche et de la Technologie. |
| Issue: |
11 |
| Start Page: |
e70013 |