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Enregistrement W1496411558 · doi:10.1111/j.1752-4571.2008.00043.x

Response: on the consequences of sexual selection for fisheries‐induced evolution

2008· article· en· W1496411558 sur OpenAlexaff
Jeffrey A. Hutchings, Sherrylynn Rowe

Notice bibliographique

RevueEvolutionary Applications · 2008
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueMarine and fisheries research
Établissements canadiensBedford Institute of OceanographyFisheries and Oceans CanadaDalhousie University
Organismes subventionnairesnon disponible
Mots-clésSexual selectionBiologyNatural selectionSelection (genetic algorithm)FishingReproductive successFecundityEcologyFisheries managementEvolutionary biologyDemographyPopulation

Résumé

récupéré en direct d'OpenAlex

We welcome the comment by Urbach and Cotton (2008) on our exploratory analysis of the consequences of sexual selection for fisheries-induced evolution (Hutchings and Rowe 2008). Two primary conclusions emerged from our work. First, irrespective of the underlying cause, fisheries-induced evolution of traits linked to reproductive success may lead to unanticipated consequences regarding the rate and direction of genetic change. Secondly, if reproductive success increases with body size, and if the variability in body size declines with increased fishing pressure, the strength of selection for smaller body size may be comparatively rapid. While accepting these conclusions, Urbach and Cotton (2008) proffer the legitimate argument that an increase in reproductive success with body size need not always be a consequence of sexual selection. With regard to our analysis, they suggest that (i) our example might represent natural selection rather than sexual selection and (ii) the consequences of sexual selection to fisheries-induced evolution may be more complicated than our analyses might have indicated. We agree entirely with the second point. Regarding the first point, the authors argue that increased reproductive success with increasing body size in Atlantic cod need not be a consequence of sexual selection. Rather, given the curvilinear increase, for example, in fecundity with female body size characteristic of most fishes, such a relationship may be more appropriately described as being a consequence of natural selection. In response, we might initially caution against drawing a finer distinction between sexual and natural selection than may be warranted. Nonetheless, Urbach and Cotton (2008) draw attention to what constitutes an appropriate null model for the question at hand. Within this context, one means of addressing the issue (for females) is to compare the slope of the regression relating fecundity to female body size with that of the regression relating reproductive success to female body size. If the slopes are equal, then the argument could be made that our exploratory analysis dealt with an element of natural, rather than sexual, selection. Alternatively, if the slope of the reproductive success:body size regression exceeds that of the fecundity:body size regression (indicating that success increased at a faster rate with body size than that predicted by the rate of increase in egg number with body size), the argument could be made that our paper dealt with sexual, rather than (or, more appropriately, in conjunction with) natural selection. Estimates of the slopes of fecundity:length regressions have been reported for Atlantic cod in the same geographical region from which our experimental cod were obtained. Fitting egg number and body length data to the same exponential function that Hutchings and Rowe (2008) used to estimate reproductive success as a function of length, McIntyre and Hutchings (2003) reported slopes of 0.044 and 0.052 for cod inhabiting the Southern Gulf of St Lawrence and Georges Bank, respectively. These are lower than the slope of the regression between body length and offspring number for females (0.071) in the data set used by Hutchings and Rowe (2008). Based on this comparison, and based on the highly skewed relationships that have been documented between male body size and reproductive success in Atlantic cod (Rowe et al. 2008), we suggest that it may be premature to discount the possibility that sexual selection is partially responsible for the increased reproductive success concomitant with increases in body size modelled by Hutchings and Rowe (2008). We concur with Urbach and Cotton’s (2008) recommendation that the effects of sexual selection on fisheries-induced evolution warrant considerably more research than has been undertaken to date. By articulating several predictions and various points for consideration, they have contributed to the development of a theoretical framework within which one might assess the influence of sexual selection on the strength, rate and direction of evolutionary change generated by exploitation.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,369
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,040
Tête enseignante GPT0,271
Écart entre enseignants0,230 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2008
Routes d'admission1
Résumé présentoui

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