首页> 外文期刊>Journal of the American Water Resources Association >USING INSTREAM WATER TEMPERATURE FORECASTS FOR FISHERIES MANAGEMENT: AN APPLICATION IN THE PACIFIC NORTHWEST
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USING INSTREAM WATER TEMPERATURE FORECASTS FOR FISHERIES MANAGEMENT: AN APPLICATION IN THE PACIFIC NORTHWEST

机译:使用实时水温预测进行渔业管理:在西北太平洋地区的应用

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摘要

Water temperature is an important factor affecting aquatic life within the stream environment. Cold water species, such as salmonids, are particularly susceptible to elevated water temperatures. This paper examines the potential usefulness of short-term (7 to 10 days) water temperature forecasts for salmonid management. Forecasts may be valuable if they allow the water resource manager to make better water allocation decisions. This study considers two applications: water releases from Lewiston Dam for management of adult Chinook salmon (Oncorhynchus tshawytscha) in the Klamath River and leasing water from agriculture for management of steelhead trout {Oncorhynchus mykiss) in the John Day River. We incorporate biophysical models and water temperature distribution data into a Bayesian framework to simulate changes in fish populations and the corresponding opportunity cost of water under different levels of temperature forecast reliability. Simulation results indicate that use of the forecasts results in increased fish production and that marginal costs decline as forecast reliability increases, suggesting that provision and use of such stream temperature forecasts would have potential value to society.
机译:水温是影响河流环境中水生生物的重要因素。冷水物种,例如鲑鱼,特别容易受到水温升高的影响。本文研究了短期(7至10天)水温预测对鲑鱼管理的潜在实用性。如果预测可以使水资源管理者做出更好的配水决策,那么它们可能会很有价值。这项研究考虑了两种应用:从刘易斯顿大坝放出的水用于管理克拉马斯河中的成年奇努克鲑鱼(Oncorhynchus tshawytscha),以及从农业中租赁水来管理约翰·戴特河的硬头鳟鱼(Oncorhynchus mykiss)。我们将生物物理模型和水温分布数据合并到贝叶斯框架中,以模拟不同温度预测可靠性水平下鱼类种群的变化以及相应的水机会成本。模拟结果表明,使用预报会导致鱼类产量增加,并且随着预报可靠性的提高,边际成本也会下降,这表明提供和使用这种河流温度预报将对社会具有潜在价值。

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