Framework of stock-recovery strategies: analyses of factors affecting success 
and failure

Hammer, Cornelius; von Dorrien, Christian; Hopkins, Christopher C. E.; Koster, Fritz W.; Nilssen, Einar M.; St John, Michael; Wilson, Douglas C.

doi:10.1093/icesjms/fsq122

アイテム詳細

登録内容を編集ファイル形式で保存

一時保存へ追加

タグ情報を表示リリース履歴を表示詳細要約

公開

学術論文

Framework of stock-recovery strategies: analyses of factors affecting success and failure

MPS-Authors

There are no MPG-Authors in the publication available

External Resource

There are no locators available

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

フルテキスト (公開)

公開されているフルテキストはありません

付随資料 (公開)

There is no public supplementary material available

引用

Hammer, C., von Dorrien, C., Hopkins, C. C. E., Koster, F. W., Nilssen, E. M., St John, M., & Wilson, D. C. (2010). Framework of stock-recovery strategies: analyses of factors affecting success and failure. ICES JOURNAL OF MARINE SCIENCE, 67(9), 1849-1855. doi:10.1093/icesjms/fsq122.

引用: https://hdl.handle.net/11858/00-001M-0000-0018-1BE9-0

要旨

The EU FP6 UNCOVER project was aimed at producing a rational scientific basis for developing recovery strategies for some ecologically 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 performance criteria". The model classified the status "recovered" and "non-recovered" assigned originally with nearly 100% accuracy.