Evaluation of methods for monitoring changes in abundance and productivity of pacific salmon populations

太平洋鲑鱼种群丰度和生产力变化监测方法评估

• 批准号: 7101-2007
• 负责人: Peterman, Randall
• 金额: $ 3.37万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2010
• 资助国家: 加拿大
• 起止时间: 2010-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=450074
• 关键词: Evaluation; methods; monitoring; changes; abundance

Estimates of abundance and productivity for Pacific salmon populations often have wide confidence limits and are subject to bias. This situation can lead to misclassification of a population's level of endangerment based on conservation criteria. Such misclassifications may increase biological conservation risks or unnecessarily decrease social and economic benefits of fishing or other uses of aquatic systems. However, budgets for monitoring are limited. We therefore propose to use empirically based computer simulations to identify reliable, cost-effective monitoring and assessment methods for salmon. Such methods will consist of various data collection schemes, spatial and temporal patterns of sampling, and techniques for analyzing the resulting data. We will identify methods that can estimate salmon abundance and productivity, as well as their conservation status, with low bias and high precision. Those methods will reduce the chance of misclassifying the status of salmon populations and thereby increase the chance of maintaining them in a productive state.

太平洋鲑鱼种群的丰度和生产力的估计通常具有广泛的置信度限制，并且会偏向偏见。这种情况可能导致基于保护标准的人口危害水平的分类错误。这种错误分类可能会增加生物保护风险，或者不必要地降低捕鱼或其他水生系统用途的社会和经济利益。但是，监视预算有限。因此，我们建议使用基于经验的计算机模拟来确定鲑鱼的可靠，具有成本效益的监控和评估方法。这种方法将包括各种数据收集方案，采样的空间和时间模式以及用于分析结果数据的技术。我们将确定可以估计鲑鱼丰度和生产力及其保护状况的方法，其偏见低和高精度。这些方法将减少误导鲑鱼种群状态的机会，从而增加将它们保持在生产状态的机会。