Environmental preferences of sharks bycaught by the tuna purse-seine fishery in the Eastern Pacific Ocean

2021 ◽  
Vol 243 ◽  
pp. 106076
Author(s):  
Eric Díaz-Delgado ◽  
Osman Crespo-Neto ◽  
Raúl O. Martínez-Rincón
2021 ◽  
Vol 241 ◽  
pp. 106001
Author(s):  
Osman Crespo-Neto ◽  
Eric Díaz-Delgado ◽  
Tatiana A. Acosta-Pachón ◽  
Raúl O. Martínez-Rincón

2008 ◽  
Vol 65 (6) ◽  
pp. 970-978 ◽  
Author(s):  
Cleridy E. Lennert-Cody ◽  
Jason J. Roberts ◽  
Richard J. Stephenson

Abstract Lennert-Cody, C. E., Roberts, J. J., and Stephenson, R. J. 2008. Effects of gear characteristics on the presence of bigeye tuna (Thunnus obesus) in the catches of the purse-seine fishery of the eastern Pacific Ocean. – ICES Journal of Marine Science, 65: 970–978. Overfishing of bigeye tuna in the eastern Pacific Ocean has motivated a search for a practical means of reducing the catch of bigeye tuna in mixed species aggregations. To explore the effects of gear characteristics on the catch of bigeye tuna, a classification algorithm for the presence/absence of bigeye tuna catch in purse-seine sets on floating objects is developed, using the tree-based method, random forests. Although the location of the set was the strongest determinant of bigeye tuna catch with these data, bigeye tuna in some areas were more likely to be caught on floating objects with greater underwater depths and with deeper purse-seines. Misclassified sets that caught bigeye tuna were concentrated within certain vessels, suggesting the existence of additional vessel effects. Results indicate that fishers may avoid catching bigeye tuna in some areas by changing the depth of the material hanging from the floating object and the actual fishing depth of the purse-seine, or by moving to other fishing areas. Nonetheless, given the complexity of configuring a purse-seine, and the difficulties associated with monitoring compliance with gear regulations, fishery-wide gear restrictions would be problematic.


2015 ◽  
Vol 162 (3) ◽  
pp. 571-593 ◽  
Author(s):  
Leanne M. Duffy ◽  
Robert J. Olson ◽  
Cleridy E. Lennert-Cody ◽  
Felipe Galván-Magaña ◽  
Noemi Bocanegra-Castillo ◽  
...  

2012 ◽  
pp. n/a-n/a
Author(s):  
Cleridy E. Lennert-Cody ◽  
Jeremy D. Rusin ◽  
Mark N. Maunder ◽  
Edward H. Everett ◽  
Erick D. Largacha Delgado ◽  
...  

2019 ◽  
Vol 169-170 ◽  
pp. 104621 ◽  
Author(s):  
Chin-Hwa Sun (Jenny) ◽  
Mark N. Maunder ◽  
Minling Pan ◽  
Alexandre Aires-da-Silva ◽  
William H. Bayliff ◽  
...  

2019 ◽  
Vol 219 ◽  
pp. 105316 ◽  
Author(s):  
Leanne M. Duffy ◽  
Cleridy E. Lennert-Cody ◽  
Robert J. Olson ◽  
Carolina V. Minte-Vera ◽  
Shane P. Griffiths

2019 ◽  
Vol 32 ◽  
pp. 20 ◽  
Author(s):  
Leanne M. Duffy ◽  
Shane P. Griffiths

Productivity-susceptibility analysis (PSA) is a widely used data-limited method to assess the relative vulnerability of species impacted by fisheries. Despite its widespread use, few authors have evaluated the impacts of attribute weightings and correlation of productivity attributes that may bias species' vulnerability scores. We evaluated the PSA methodology and performed sensitivity analyses to determine the impacts of correlation among productivity attributes used in the PSA, given that several of these attributes are strongly correlated. A PSA for species caught in the eastern Pacific Ocean tuna purse-seine fishery was used as an example to assess potential bias introduced by attribute weightings and correlation of productivity attributes on species' vulnerability scores. Redundancy was observed among three pairs of attributes. We demonstrated that manipulation of attribute weightings and removal of correlated attributes did not appreciably change any species' overall vulnerability status. Our results suggest that after removal of redundant attributes, PSAs can be conducted more rapidly with fewer data inputs than previous implementations, while retaining comparable vulnerability scores.


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