Incorporating covariates into fisheries stock assessment models with application to Pacific herring
被引:44
作者:
Deriso, Richard B.
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机构:
Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA
Inter Amer Trop Tuna Commiss, La Jolla, CA 92037 USAUniv Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA
Deriso, Richard B.
[1
,2
]
Maunder, Mark N.
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机构:
Inter Amer Trop Tuna Commiss, La Jolla, CA 92037 USA
Quantitat Resource Assessment LLC, San Diego, CA 92129 USAUniv Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA
Maunder, Mark N.
[2
,3
]
Pearson, Walter H.
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机构:
Battelle Marine Sci Lab, Sequim, WA 98382 USAUniv Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA
Pearson, Walter H.
[4
]
机构:
[1] Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA
[2] Inter Amer Trop Tuna Commiss, La Jolla, CA 92037 USA
[3] Quantitat Resource Assessment LLC, San Diego, CA 92129 USA
Clupea pallasi;
hypothesis test;
Ichthyophonus hoferi;
maximum likelihood;
Pacific herring;
Prince William Sound;
Alaska;
salmon hatcheries;
stock assessment models;
viral hemorrhagic septicemia virus;
D O I:
10.1890/07-0708.1
中图分类号:
Q14 [生态学(生物生态学)];
学科分类号:
071012 ;
0713 ;
摘要:
We present a framework for evaluating the cause of fishery declines by integrating covariates into a fisheries stock assessment model. This allows the evaluation of fisheries' effects vs. natural and other human impacts. The analyses presented are based on integrating ecological science and statistics and form the basis for environmental decision-making advice. Hypothesis tests are described to rank hypotheses and determine the size of a multiple covariate model. We extend recent developments in integrated analysis and use novel methods to produce effect size estimates that are relevant to policy makers and include estimates of uncertainty. Results can be directly applied to evaluate trade-offs among alternative management decisions. The methods and results are also broadly applicable outside. sheries stock assessment. We show that multiple factors influence populations and that analysis of factors in isolation can be misleading. We illustrate the framework by applying it to Pacific herring of Prince William Sound, Alaska ( USA). The Pacific herring stock that spawns in Prince William Sound is a stock that has collapsed, but there are several competing or alternative hypotheses to account for the initial collapse and subsequent lack of recovery. Factors failing the initial screening tests for statistical significance included indicators of the 1989 Exxon Valdez oil spill, coho salmon predation, sea lion predation, Pacific Decadal Oscillation, Northern Oscillation Index, and effects of containment in the herring egg-on-kelp pound fishery. The overall results indicate that the most statistically significant factors related to the lack of recovery of the herring stock involve competition or predation by juvenile hatchery pink salmon on herring juveniles. Secondary factors identified in the analysis were poor nutrition in the winter, ocean (Gulf of Alaska) temperature in the winter, the viral hemorrhagic septicemia virus, and the pathogen Ichthyophonus hoferi. The implication of this result to. sheries management in Prince William Sound is that it may well be difficult to simultaneously increase the production of pink salmon and maintain a viable Pacific herring fishery. The impact can be extended to other commercially important. sheries, and a whole ecosystem approach may be needed to evaluate the costs and benefits of salmon hatcheries.
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页码:1270 / 1286
页数:17
相关论文
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[1]
[Anonymous], 1974, Introduction to the Theory of Statistics
机构:
Colorado State Univ, Colorado Cooperat Fish & Wildlife Res Unit, USGS, BRD, Ft Collins, CO 80523 USAColorado State Univ, Colorado Cooperat Fish & Wildlife Res Unit, USGS, BRD, Ft Collins, CO 80523 USA
Burnham, KP
Anderson, DR
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机构:
Colorado State Univ, Colorado Cooperat Fish & Wildlife Res Unit, USGS, BRD, Ft Collins, CO 80523 USAColorado State Univ, Colorado Cooperat Fish & Wildlife Res Unit, USGS, BRD, Ft Collins, CO 80523 USA
机构:
Colorado State Univ, Colorado Cooperat Fish & Wildlife Res Unit, USGS, BRD, Ft Collins, CO 80523 USAColorado State Univ, Colorado Cooperat Fish & Wildlife Res Unit, USGS, BRD, Ft Collins, CO 80523 USA
Burnham, KP
Anderson, DR
论文数: 0引用数: 0
h-index: 0
机构:
Colorado State Univ, Colorado Cooperat Fish & Wildlife Res Unit, USGS, BRD, Ft Collins, CO 80523 USAColorado State Univ, Colorado Cooperat Fish & Wildlife Res Unit, USGS, BRD, Ft Collins, CO 80523 USA