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首页> 外文期刊>ICES Journal of Marine Science >Framework of stock-recovery strategies: analyses of factors affecting success and failure
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Framework of stock-recovery strategies: analyses of factors affecting success and failure

机译:库存恢复策略框架:影响成功与失败的因素分析

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摘要

The EU FP6 UNCOVER project was aimed at producing a rational scientific basis for developing recovery strategies for some ecolo-gically and socio-economically important fish stocks/fisheries in European seas. The immediate objectives were to identify changes experienced during stock depletion/collapses, to understand prospects for recovery, to enhance the scientific understanding of the mechanisms of recovery, and to formulate recommendations on how best to implement long-term management/recovery plans. We extended an earlier analysis conducted within the project of 13 performance criteria in relation to the recovery of more than 30 fish stocks/fisheries worldwide by multivariate exploratory analysis (canonical correspondence analysis), followed by model building [discriminant analysis (DA)] to quantify the relative importance of key performance criteria, singly or combined. Using the existing database, DA indicated that the four best additive predictors of successful recovery were "rapid reduction in fishing mortality", "environmental conditions during the recovery period", "life-history characteristics" of the target stock, and "management perform-ance criteria". The model classified the status "recovered" and "non-recovered" assigned originally with nearly 100% accuracy.
机译:欧盟FP6 UNCOVER项目旨在为制定合理的科学基础,为欧洲海洋中一些具有生态和社会经济意义的重要鱼类种群/渔业制定恢复战略。近期目标是查明库存枯竭/倒塌期间经历的变化,了解恢复的前景,增强对恢复机制的科学理解,并就如何最佳实施长期管理/恢复计划提出建议。我们通过多变量探索性分析(规范对应分析)扩展了在13个绩效标准项目中进行的,与全球30多种鱼类种群/渔业的恢复有关的早期分析,然后通过模型构建[判别分析(DA)]进行量化关键绩效标准的相对重要性(单独或组合)。利用现有数据库,DA表示成功恢复的四个最佳附加预测指标是“捕捞死亡率的快速降低”,“恢复期的环境条件”,目标种群的“生命历史特征”和“管理绩效- ance准则”。该模型将原始分配的状态“已恢复”和“未恢复”分类为接近100%的准确性。

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