Evaluating the impact of ocean acidification on fishery yields and profits: The example of red king crab in Bristol Bay

2014 ◽  
Vol 285 ◽  
pp. 39-53 ◽  
Author(s):  
André E. Punt ◽  
Dusanka Poljak ◽  
Michael G. Dalton ◽  
Robert J. Foy
Keyword(s):  
Ocean Acidification ◽  
Red King Crab ◽  
Bristol Bay ◽  
King Crab ◽  
The Impact

scholarly journals Evaluating the impact of buffers to account for scientific uncertainty when setting TACs: application to red king crab in Bristol Bay, Alaska

2012 ◽  
Vol 69 (4) ◽  
pp. 624-634 ◽  
Author(s):  
André E. Punt ◽  
M. S. M. Siddeek ◽  
Brian Garber-Yonts ◽  
Michael Dalton ◽  
Louis Rugolo ◽  
...  
Keyword(s):  
Maximum Sustainable Yield ◽  
Scientific Uncertainty ◽  
Red King Crab ◽  
Paralithodes Camtschaticus ◽  
Bristol Bay ◽  
King Crab ◽  
Stock Assessments ◽  
Short And Long Term ◽  
The Impact

Abstract Punt, A. E., Siddeek, M. S. M., Garber-Yonts, B., Dalton, M., Rugolo, L., Stram, D., Turnock, B. J., and Zheng, J. 2012. Evaluating the impact of buffers to account for scientific uncertainty when setting TACs: application to red king crab in Bristol Bay, Alaska. – ICES Journal of Marine Science, 69: 624–634. Increasingly, scientific uncertainty is being accounted for in fisheries management by implementing an uncertainty buffer, i.e. a difference between the limit catch level given perfect information and the set catch. An approach based on simulation is outlined, which can be used to evaluate the impact of different buffers on short- and long-term catches, discounted revenue, the probability of overfishing (i.e. the catch exceeding the true, but unknown, limit catch), and the stock becoming overfished (i.e. for crab, mature male biomass, MMB, dropping below one-half of the MMB corresponding to maximum sustainable yield). This approach can be applied when only a fraction of the uncertainty related to estimating the limit catch level is quantified through stock assessments. The approach is applied for illustrative purposes to the fishery for red king crab, Paralithodes camtschaticus, in Bristol Bay, AK.

scholarly journals Autumn distribution of Bristol Bay red king crab using fishery logbooks

PLoS ONE ◽  
2018 ◽  
Vol 13 (7) ◽  
pp. e0201190 ◽  
Author(s):  
Leah Sloan Zacher ◽  
Gordon H. Kruse ◽  
Sarah Mincks Hardy
Keyword(s):  
Red King Crab ◽  
Bristol Bay ◽  
King Crab

Managing fishing power: the case of Alaska red king crab (Paralithodes camtschaticus)

2004 ◽  
Vol 61 (1) ◽  
pp. 43-53 ◽  
Author(s):  
Genevieve Briand ◽  
Thomas Heckelei ◽  
Scott C Matulich ◽  
Ron C Mittelhammer
Keyword(s):  
Simulation Model ◽  
Capture Efficiency ◽  
Red King Crab ◽  
Paralithodes Camtschaticus ◽  
Bristol Bay ◽  
King Crab ◽  
Vessel Size ◽  
Fishing Vessels ◽  
Fishing Capacity ◽  
One Year

Because of concern about the inability to manage the Bristol Bay red king crab (Paralithodes camtschaticus) fishery in Alaska and, in particular, to use in-season fishery performance to close the fishery at or near the preseason guideline harvest level, increasingly stringent pot limits were adopted to elongate the collapsing seasons. This paper provides a rigorous examination of the effect that pot limits had on season elongation and whether a redistribution of wealth occurred between large and small fishing vessels as a result of the policy. A simulation model of the fishery shows that pot limits did not elongate the season sufficiently to improve in-season management. Moreover, the policy allowed vessels to capture efficiency gains arising from an industry-wide reduction in fishing capacity. Both vessel size classes benefited from mutual gear reduction in all years except 1992. Redistribution of wealth was found to occur only in one year of the five years examined.

Analysis of Minimum Size Limit for the Red King Crab Fishery in Bristol Bay, Alaska

2000 ◽  
Vol 20 (2) ◽  
pp. 307-319 ◽  
Author(s):  
Gordon H. Kruse ◽  
Laurence C. Byrne ◽  
Fritz C. Funk ◽  
Scott C. Matulich ◽  
Jie Zheng
Keyword(s):  
Minimum Size ◽  
Red King Crab ◽  
Bristol Bay ◽  
King Crab ◽  
Size Limit
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