Interim Report of the Working Group on Fisheries-induced Evolution (WGEVO). 12-14 June 2017, Laxenburg, Austria
Notice bibliographique
Résumé
The Working Group on Fisheries-induced Evolution (WGEVO) met thrice in 2017: twice remotely from 20 to 21 March 2017 and from 5 to 6 April 2017 and once in person at IIASA, Laxenburg, Austria from 12 to 14 June 2017.\nWGEVO pursued its effort to assemble evidence of fisheries-induced evolution and its consequences for the conservation of biodiversity and sustainable exploitation of marine species. Specifically, it was demonstrated experimentally on a freshwater model species that hypoxia or reduced ambient oxygen can lead to plastic effects on growth, maturation and reproduction in a direction similar to that of genetic changes induced by size-selective fishing, thus acting as a potential confounding factor of fisheries-induced evolution (Diaz Pauli et al. 2017). A field study on gonad weight recorded since the late 70s in three populations of cod off Newfoundland supports the hypothesis that fisheries-induced evolution has occurred in gonadal investment in males, but not in females, and suggest that gonadal investment is more important for male reproductive success than expected in this lekking species (Baulier et al. 2017).\nWGEVO continued the estimation of fisheries-induced Darwinian selection pressures exerted on exploited stocks’ life-history traits (somatic growth, maturation traits and reproductive effort). During the previous 3-year term, the group developed a general framework for assessing these fisheries-induced selection pressures and applied it to 44 stocks until last year. 13 new stocks were analyzed this year, bringing the grand total to 57. The estimation is still in progress for a few additonal stocks but WGEVO will complete the estimation part of the projet by the end of the year. The main findings of this large scale analysis of fisheries-induced selection pressures on life-histoy traits are that:\n(i) Typically, fishing induces selection pressures towards earlier maturation at smaller size, reduced growth, and increased reproductive effort.\n(ii) Across stocks, fisheries-induced selection pressures align along two nearly independent axes: a growth axis describing negatively covarying pressures on somatic and gonadic growth, and a maturation axis describing pressures on maturation.\n(iii) Fisheries-induced selection pressures rise with fishing intensities for the main traits i.e. maturation propensity, growth and reproductive investment.\n(iv) Fisheries-induced selection pressures show high sensitivity to a fishery’s size selectivity. For the main traits and across all examined life histories, selection pressures tend to be highest when the length at which fish become exposed to significant fishing is 1-2 times larger than their maturation length. Conversely, selection pressures tend to be more benign in fisheries with a peaked (permissive slot), rather than a sigmoidal size-selectivity pattern.\n(v) Slow growing, long-lived species maturating late and large and having costly repoduction are more prone to fisheries-induced selection.\nStatistical analyses to confirm these trends are in progress and a manuscript is being drafted to disseminate the results of this analysis as a peer-reviewed publication.\n
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,011 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,003 | 0,008 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,074 | 0,036 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».