The Experts below are selected from a list of 7089 Experts worldwide ranked by ideXlab platform

Daniel E. Duplisea - One of the best experts on this subject based on the ideXlab platform.

  • SPAM (Sex-Structured Pandalus Assessment Model): a stock assessment model for Pandalus stocks
    Canadian Journal of Fisheries and Aquatic Sciences, 2012
    Co-Authors: Hilaire Drouineau, Louise Savard, Mathieu Desgagnés, Daniel E. Duplisea
    Abstract:

    Despite the economic importance of Pandalus Shrimp Fisheries, few analytical tools have been developed to assess their stocks, and traditional stock assessment models are not appropriate because of biological specificities of Pandalus species. In this context, we propose SPAM (Sex-Structured Pandalus Assessment Model), a model dedicated to protandric hermaphrodite pandalids stock assessment. Pandalids are difficult to assess because the cues affecting sex change, size at recruitment, and mortality variability are not well understood or characterized. The novel structure of the model makes it possible to adequately describe variability in natural mortality by stage and in time, as well as variability in size at sex change and recruitment. The model provides traditional stock assessment outputs, such as fishing mortality estimates and numbers of individuals, and provides in addition yearly natural mortality estimates. The model is applied to the exploited Shrimp stock of Pandalus borealis in Sept-Iles (Queb...

  • SPAM (Sex-Structured Pandalus Assessment Model): a stock assessment model for Pandalus stocks
    Canadian Journal of Fisheries and Aquatic Sciences, 2012
    Co-Authors: Hilaire Drouineau, Louise Savard, Mathieu Desgagnés, Daniel E. Duplisea
    Abstract:

    Malgré l’importance économique des pêches aux crevettes Pandalus, peu d’outils ont été mis au point pour en évaluer les stocks, car les modèles d’évaluation courants ne sont pas appropriés à cause des caractéristiques biologiques particulières des espèces de Pandalus. Dans ce contexte, nous proposons SPAM (Sex-Structured Pandalus Assessment Model — modèle d’évaluation des Pandalus structuré en fonction du sexe), un modèle servant à évaluer les stocks de pandalidés hermaphrodites protandriques. Les pandalidés sont difficiles à évaluer parce que les signaux qui affectent le changement de sexe, la taille lors de recrutement et la variabilité de la mortalité restent mal connus et caractérisés. La structure inédite de notre modèle permet de décrire adéquatement la variabilité de la mortalité naturelle en fonction des stades et du temps, de même que la variabilité dans la taille au moment du changement de sexe et lors du recrutement. Le modèle fournit les résultats des modèles traditionnels d’évaluation des stocks, tels que les estimations de la mortalité due à la pêche et le nombre d’individus, mais il donne en plus des estimations des mortalités naturelles annuelles. Nous appliquons le modèle au stock exploité de crevettes Pandalus borealis de Sept-Îles (Québec, Canada) comme exemple pour illustrer l’utilité de la méthodologie. / Despite the economic importance of Pandalus Shrimp Fisheries, few analytical tools have been developed to assess their stocks, and traditional stock assessment models are not appropriate because of biological specificities of Pandalus species. In this context, we propose SPAM (Sex-Structured Pandalus Assessment Model), a model dedicated to protandric hermaphrodite pandalids stock assessment. Pandalids are difficult to assess because the cues affecting sex change, size at recruitment, and mortality variability are not well understood or characterized. The novel structure of the model makes it possible to adequately describe variability in natural mortality by stage and in time, as well as variability in size at sex change and recruitment. The model provides traditional stock assessment outputs, such as fishing mortality estimates and numbers of individuals, and provides in addition yearly natural mortality estimates. The model is applied to the exploited Shrimp stock of Pandalus borealis in Sept-Îles (Québec, Canada) as an illustrative example of the utility of the approach.

Elizabeth C. Teixeira - One of the best experts on this subject based on the ideXlab platform.

  • marine Shrimp Fisheries research a mismatch on spatial and thematic needs
    Scientometrics, 2020
    Co-Authors: Elizabeth C. Teixeira, Victor E. L. Silva, Nidia N. Fabré, Vandick Da Silva Batista
    Abstract:

    Marine Shrimp fishing is an economic activity of global importance due to its high profitability, but it also presents several environmental and socioeconomic problems. In a context of increasing need for fishery sustainability, scientific basis supporting fishery resources management is essential. However, evidence-based information is frequently scarce or generated by developed countries, even when resources are most abundant in areas of developing economy. Here we present a bibliometric analysis to map each country’s scientific production in relation to its marine Shrimp fishery yield, along with a hurdle model with socioeconomic factors that could influence publication of articles on this subject. We observed a geographic mismatch between research needs and the places that produce them, once tropical and subtropical regions account for most of fishery yield while knowledge is produced in temperate regions where the most developed countries are concentrated. Accordingly, our model reveled that GDP was the most influential factor in number of articles, while population density had a negative effect. Concurrently, key research interests about marine Shrimp Fisheries tend to be basic biology topics, despite the need for conservation solutions.

  • Marine Shrimp Fisheries research—a mismatch on spatial and thematic needs
    Scientometrics, 2019
    Co-Authors: Elizabeth C. Teixeira, Victor E. L. Silva, Nidia N. Fabré, Vandick S. Batista
    Abstract:

    Marine Shrimp fishing is an economic activity of global importance due to its high profitability, but it also presents several environmental and socioeconomic problems. In a context of increasing need for fishery sustainability, scientific basis supporting fishery resources management is essential. However, evidence-based information is frequently scarce or generated by developed countries, even when resources are most abundant in areas of developing economy. Here we present a bibliometric analysis to map each country’s scientific production in relation to its marine Shrimp fishery yield, along with a hurdle model with socioeconomic factors that could influence publication of articles on this subject. We observed a geographic mismatch between research needs and the places that produce them, once tropical and subtropical regions account for most of fishery yield while knowledge is produced in temperate regions where the most developed countries are concentrated. Accordingly, our model reveled that GDP was the most influential factor in number of articles, while population density had a negative effect. Concurrently, key research interests about marine Shrimp Fisheries tend to be basic biology topics, despite the need for conservation solutions.

O Ritzau Eigaard - One of the best experts on this subject based on the ideXlab platform.

Sara Hornborg - One of the best experts on this subject based on the ideXlab platform.

George Olavo - One of the best experts on this subject based on the ideXlab platform.

  • Small-scale Shrimp Fisheries bycatch: A multi-criteria approach for data-scarse situations
    Marine Policy, 2020
    Co-Authors: Adriana Rosa Carvalho, Maria Grazia Pennino, Jose Maria Bellido, George Olavo
    Abstract:

    Abstract Bycatch and discards from small-scale Fisheries (SSF) are usually ignored when compared with industrial Fisheries, not only by policy-makers, but also by scientists. Therefore, SSF social, economic and ecological impacts are poorly known and especially in the context of incidental catches, regardless of whether they become bycatch or discards. Such neglect is worrisome due to the role that SSF play in food security and poverty alleviation, particularly in coastal and rural communities in developing countries. In this study, a combination of sampling data and the fishers' behavior (specifically the basis of their decision on where to fish) were used. Bayesian models were applied to understand which variables affect the bycatch per unit effort (BPUE) variation in the Shrimp SSF of the southern coast of the state of Bahia (Brazil). Results highlighted how BPUE variability is affected by a set of factors as well as by the specific fisher behavior. In the case of the Shrimp fishery assessed here, economic incentives do not influence the decision to land the bycatch, since landed values decrease when bycatch increases. Shadow subsistence values (i.e. non-market values assigned to the consumption value) and the employ of fish as currency added an economic livelihood component to the complex decision regarding bycatch. Mitigation measures for SSF management strategies should be implemented at multiple stages of the bycatch and discarding process, both in the selection of the fishing grounds and the local economic role of the incidentally caught species.