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.

中文翻译：

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确定导致成功丢弃管理的社会生态系统 (SES) 属性的概率模型

社会生态系统 (SES) 框架用于通过从全球丢弃管理应用示例中收集知识来调查丢弃管理的成功与否。文献检索证实，旨在减少丢弃物的大多数努力都是在自上而下的管理计划下实施的。在应用管理工具的案例研究中，约有一半实现了丢弃物的减少。为了确定影响丢弃管理成功的属性，使用了概率分类器模型（朴素贝叶斯分类器）。这表明，除非以社会接受的替代形式提供建议，否则常用的减少丢弃物的干预措施可能是无效的。社会凝聚力和利益相关者执法机制的作用得到强调，并增加了成功满足实现可持续渔业建议的几率。能够使丢弃物最小化的属性的成功组合需要强大的社会资本以及自上而下的措施。总体而言，分类算法证明了 SES 框架可用于描述渔业对旨在减少丢弃的管理工作的反应。在渔业社区和科学家之间建立联系是加强利益相关者参与、提高合规性和尽量减少丢弃物的关键。总体而言，分类算法证明了 SES 框架可用于描述渔业对旨在减少丢弃的管理工作的反应。在渔业社区和科学家之间建立联系是加强利益相关者参与、提高合规性和尽量减少丢弃物的关键。总体而言，分类算法证明了 SES 框架可用于描述渔业对旨在减少丢弃的管理工作的反应。在渔业社区和科学家之间建立联系是加强利益相关者参与、提高合规性和尽量减少丢弃物的关键。