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首页> 外文期刊>ICES Journal of Marine Science >Applying a decision tree framework in support of an ecosystem approach to fisheries: IndiSeas indicators in the North Sea
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Applying a decision tree framework in support of an ecosystem approach to fisheries: IndiSeas indicators in the North Sea

机译：运用决策树框架支持渔业生态系统方法：北海的印第海指标

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摘要

As one of the most economically important marine ecosystems, the North Sea has been impacted by numerous anthropogenic activities. A move towards an ecosystem approach to fisheries is key in developing sustainable fisheries in marine ecosystems. The application of a previously tested decision tree framework that employs a suite of indicators suggested in the IndiSeas project with additional indicators of environmental variability has been used in this study. Trends in indicators were used to identify ecosystem trends across three periods: 1983-1992, 1993-2003, and 2004-2010. A score-based approach was adopted, assigning scores to indicators based on direction and significance of trends. Ecological indicator scores were adjusted to account for impacts of fishing and environmental variability. Overall ecosystem scores assigned the ecosystem into one of five possible categories: improving, possibly improving, no improvement/ deterioration, possibly deteriorating or deteriorating. Results indicated no improvement or deterioration over Period 1 (1983-1992); whereas Periods 2 (1993-2003) and 3 (20042010) showed a possible improvement of the ecosystem. Use of a structured decision tree framework, including extensive literature reviews and knowledge from ecosystem experts, allows the determination of ecosystem trends in a way consistent with ecological theory.
机译：作为最经济重要的海洋生态系统之一，北海受到众多人为活动的影响。向渔业生态系统方法迈进对于在海洋生态系统中发展可持续渔业至关重要。这项研究使用了之前测试过的决策树框架的应用，该框架采用了IndiSeas项目中建议的一组指标以及环境可变性的其他指标。指标趋势用于确定三个时期的生态系统趋势：1983-1992年，1993-2003年和2004-2010年。采用了基于分数的方法，根据趋势的方向和重要性将分数分配给指标。调整了生态指标得分，以考虑捕捞和环境变化的影响。生态系统的总体评分将生态系统划分为五个可能的类别之一：改善，可能改善，没有改善/恶化，可能恶化或恶化。结果表明，在第一阶段（1983-1992年）没有改善或恶化；而第二期（1993-2003年）和第三期（20042010年）表明，生态系统可能得到改善。使用结构化的决策树框架，包括广泛的文献综述和生态系统专家的知识，可以确定与生态理论相一致的生态系统趋势。

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