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Enregistrement W4249866500 · doi:10.31230/osf.io/ba5wt

ECONOMIC AND SOCIAL BENEFITS OF FISHERIES REBUILDING: SIX CANADIAN CASE STUDIES

2019· preprint· en· W4249866500 sur OpenAlexaboutno aff
Oceana, Louise Teh, Rashid Sumaila

Notice bibliographique

Revuenon disponible
Typepreprint
Langueen
DomaineEnvironmental Science
ThématiqueMarine and fisheries research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésFisheryFishingFish stockStock (firearms)Fisheries managementGeographyPopulationStock assessmentHerringFish <Actinopterygii>Biology

Résumé

récupéré en direct d'OpenAlex

Many fish populations in Canada are depleted and at risk of further decline. Fisheries loss jeopardizes the social, economic, and health well-being of thousands of Canadians and is therefore of national concern. However, of 56 fish stocks assessed as being in a Critical or Cautious state, only three have rebuilding plans developed for them. As such, there is an urgent need to intensify Canada’s fisheries rebuilding efforts. One of the challenges facing rebuilding fisheries is that it often necessitates an immediate and substantial reduction in fishing mortality. This invariably involves forgoing certain short-term benefits in order to gain the benefits of rebuilt fish stocks in the medium and long term. To investigate the economic and social implications of rebuilding Canada’s fisheries, this study analyzes the socio-economic costs and benefits of rebuilding Canada’s fisheries under six different scenarios of species’ recovery rates and management strategies. We conduct the analysis for six fish stocks representing different biological life histories, geographic distribution, state of fisheries depletion, and socio-economic importance to coastal communities. These fish stocks include: i) Pacific herring Central Coast stock; ii) West Coast Vancouver Island chinook salmon — both aggregate abundance-based management (AABM) and individual stock-based management (ISBM) components; iii) yelloweye rockfish outside population; iv) Atlantic cod NAFO Division 2J3KL; v) Gulf of St. Lawrence Atlantic herring spring spawners NAFO Division 4T; and vi) Atlantic redfish Units 1 and 2.Our results indicate that overall, for the time period studied, all fish stocks — except yelloweye rockfish, which is a long-lived species with a low natural growth rate — would likely experience economic gains from fisheries rebuilding relative to the status quo. Under the most optimistic scenario, northern cod (which has, among the fisheries studied, one of the largest current catch and number of fishers) and Pacific herring are projected to benefit the most by the end of the analysis period, with potential economic gains of seven and 11 times above the status quo, respectively. Under the least optimistic scenario, this gain drops to 0.85 and five times above the status quo, respectively. In most cases, a management strategy involving fishery closure results in higher potential economic gains compared to a low-fishing strategy, regardless of the rate of fish-stock recovery. Not surprisingly, slow recovery scenarios are projected to result in the fewest economic gains. An intergenerational discounting approach, which seeks to explicitly incorporate the interests of future generations in the analysis, increases projected economic benefits compared to conventional discounting, thereby emphasizing the importance of taking a long-term perspective to fisheries rebuilding. Using fish stock assessments as a basis, we estimate that once fish stocks are rebuilt, they can support catches that range from 1.3 to 18 times above the status quo catch level. In terms of social impact, an estimated 5,100 fishers are currently involved in fisheries for the case study fish stocks, who can thus potentially benefit from this projected increase in fish catch in the future. The overall benefits of rebuilding are magnified if we consider the thousands more people in coastal communities who have food, cultural, and other social connections to fish stocks. While rebuilding may likely incur short-term costs for fishers and coastal communities, these need to be seen in light of the fact that without rebuilding and effective fisheries management, we have lost significant amounts of food, jobs, and incomes over the recent decades, and we could lose everything if and when the fish stocks collapse. Recall the cost to fishers and society when the cod stocks off Newfoundland collapsed in 1992.Our results suggest that bearing this short-term cost can lead to economic benefits, which in the long term are an improvement over maintaining the status quo. This suggests that accounting for social impacts is crucial in developing rebuilding plans, especially in terms of access to and allocation of projected economic benefits from rebuilt fish stocks in the future. This study further highlights that rebuilding plans have to be developed while bearing in mind that anticipated fish stock recovery can either be delayed or sped up by future changes in environmental conditions, which, although not modelled here, can change projected economic outcomes. While we show that fisheries rebuilding can improve the biological and economic state of Canadian fish stocks overall, it is also important to emphasize the need for Canada to have strong precautionary fisheries management practices in place for species that are not currently depleted so that fish stocks are managed sustainably, avoiding the need for rebuilding.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,056
Score d'incertitude au seuil0,409

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0030,006
Études des sciences et des technologies0,0060,002
Communication savante0,0020,001
Science ouverte0,0020,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,041
Tête enseignante GPT0,276
Écart entre enseignants0,236 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
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

Citations2
Publié2019
Routes d'admission1
Résumé présentoui

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