Evidence map›Paper›PMID 39623738›Full record

ArticleEcology letters2024

A Robust and Versatile Mating Function for Two-Sex Population Projection Models Fitting all Types of Mating Systems.

Jessica Cachelou, Christophe Coste, Jean-Michel Gaillard, Agathe Chassagneux, Emmanuelle Richard, Eric Baubet, Marlène Gamelon

Abstract read
In one paragraph

Article in Ecology letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jessica CachelouLaboratoire de Biométrie et Biologie Evolutive, UMR 5558, CNRS, Université Lyon 1, Villeurbanne, France.ORCID https://orcid.org/0000-0002-2969-390X
Christophe CosteDepartment of Biosciences, Swansea University, Swansea, UK.
Jean-Michel GaillardLaboratoire de Biométrie et Biologie Evolutive, UMR 5558, CNRS, Université Lyon 1, Villeurbanne, France.ORCID https://orcid.org/0000-0003-0174-8451
Agathe ChassagneuxFondation François Sommer, Pôle Nature, Paris, France.
Emmanuelle RichardFondation François Sommer, Pôle Nature, Paris, France.
Eric BaubetOffice Français de la Biodiversité, DRAS-Service Conservation et Gestion Des espèces à Enjeux, Birieux, France.
Marlène GamelonLaboratoire de Biométrie et Biologie Evolutive, UMR 5558, CNRS, Université Lyon 1, Villeurbanne, France.ORCID https://orcid.org/0000-0002-9433-2369

Funding

Association Nationale de la Recherche et de la TechnologieFondation François SommerOffice Français de la Biodiversité
6 · The paper itself

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.

Indexed as

Models, BiologicalSex RatioSexual Behavior, AnimalAnimalsFemaleMalePopulation DynamicsReproductionSus scrofamating efficiencymating functionmonogamousoperational sex ratiopolyandrouspolygynouspopulation dynamicspromiscuous

Identifiers

PMID39623738
PMCPMC11612543

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.