1. A probabilistic model that determines the social ecological system (SES) attributes that lead to successful discard management
- Author
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Maria Christou, Vasiliki Sgardeli, George Tserpes, Konstantinos I. Stergiou, and Athanassios C. Tsikliras
- Subjects
0106 biological sciences ,Probabilistic classification ,Ecology ,010604 marine biology & hydrobiology ,Stakeholder ,Stakeholder engagement ,Cohesion (computer science) ,Aquatic Science ,Biology ,010603 evolutionary biology ,01 natural sciences ,Discards ,Naive Bayes classifier ,14. Life underwater ,Enforcement ,Social capital - Abstract
The social ecological system (SES) framework is used to investigate the success of discard management, by gathering knowledge from worldwide examples of discard management applications. The literature search confirmed that most efforts aiming to reduce discards were implemented under top-down management schemes. For about half of the case studies where management tools were applied, a reduction of discards was achieved. To determine the attributes that influence the discard management success, a probabilistic classifier model (Naive Bayes Classifier) was used. This revealed that commonly used interventions to reduce discards can be ineffective unless advice is given in alternative forms that have societal acceptance. The role of social cohesion and stakeholder enforcement mechanisms is underlined and increases the odds of meeting successfully the recommendations for achieving sustainable fisheries. A successful combination of attributes that can lead to the minimization of discards requires robust social capital along with top-down measures. Overall, the classification algorithm proves the usefulness of the SES framework to describe the fishery response to managerial efforts that aim to reduce discarding. Establishment of links between fishing communities and scientists are the key for enhancing stakeholder engagement, increasing compliance and minimizing discards.
- Published
- 2020
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