Deriso Richard B, Maunder Mark N, Pearson Walter H
Scripps Institution of Oceanography, La Jolla, California 92093-0203, USA.
Ecol Appl. 2008 Jul;18(5):1270-86. doi: 10.1890/07-0708.1.
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 fisheries 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 fisheries 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 fisheries, and a whole ecosystem approach may be needed to evaluate the costs and benefits of salmon hatcheries.
我们提出了一个通过将协变量整合到渔业资源评估模型中来评估渔业衰退原因的框架。这使得我们能够评估渔业的影响与自然及其他人类影响之间的关系。所呈现的分析基于生态科学与统计学的整合,构成了环境决策建议的基础。文中描述了用于对假设进行排序并确定多重协变量模型规模的假设检验。我们扩展了整合分析的最新进展,并使用新颖的方法来生成与政策制定者相关的效应大小估计值,包括不确定性估计。结果可直接应用于评估替代管理决策之间的权衡。这些方法和结果在渔业资源评估之外也具有广泛的适用性。我们表明,多种因素会影响种群数量,孤立地分析因素可能会产生误导。我们通过将其应用于美国阿拉斯加威廉王子湾的太平洋鲱鱼来说明该框架。在威廉王子湾产卵的太平洋鲱鱼种群已经崩溃,但有几个相互竞争或替代的假设来解释其最初的崩溃以及随后缺乏恢复的情况。在初始筛选测试中未通过统计显著性检验的因素包括1989年埃克森·瓦尔迪兹号油轮漏油事件的指标、银大麻哈鱼捕食、海狮捕食、太平洋年代际振荡、北极涛动指数以及鲱鱼海带挂卵渔业中的围捕效应。总体结果表明,与鲱鱼种群缺乏恢复最具统计学显著性的因素涉及孵化场养殖的幼年粉红大麻哈鱼对幼年鲱鱼的竞争或捕食。分析中确定的次要因素包括冬季营养不足、冬季海洋(阿拉斯加湾)温度、病毒性出血性败血症病毒以及病原体霍氏鱼孢虫病。这一结果对威廉王子湾渔业管理的启示是,要同时增加粉红大麻哈鱼的产量并维持可行的太平洋鲱鱼渔业可能会很困难。这种影响可以扩展到其他具有商业重要性的渔业,可能需要采用整体生态系统方法来评估鲑鱼孵化场的成本和效益。