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Impact of Climate Change on Fish Population Dynamics in the Baltic Sea: A Dynamical Downscaling Investigation

机译:气候变化对波罗的海鱼类种群动态的影响:动态降尺度研究

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摘要

Understanding how climate change, exploitation and eutrophication will affect populations and ecosystems of the Baltic Sea can be facilitated with models which realistically combine these forcings into common frameworks. Here, we evaluate sensitivity of fish recruitment and population dynamics to past and future environmental forcings provided by three ocean-biogeochemical models of the Baltic Sea. Modeled temperature explained nearly as much variability in reproductive success of sprat (Sprattus sprattus; Clupeidae) as measured temperatures during 1973–2005, and both the spawner biomass and the temperature have influenced recruitment for at least 50 years. The three Baltic Sea models estimate relatively similar developments (increases) in biomass and fishery yield during twenty-first century climate change (ca. 28 % range among models). However, this uncertainty is exceeded by the one associated with the fish population model, and by the source of global climate data used by regional models. Knowledge of processes and biases could reduce these uncertainties.Electronic supplementary materialThe online version of this article (doi:10.1007/s13280-012-0325-y) contains supplementary material, which is available to authorized users.
机译:可以通过将这些强迫因素现实地结合到共同框架中的模型,来促进了解气候变化,开发和富营养化将如何影响波罗的海的人口和生态系统。在这里,我们评估了波罗的海的三种海洋生物地球化学模型所提供的鱼类招募和种群动态对过去和未来环境强迫的敏感性。建模温度解释了1973-2005年期间测量的温度对西鲱(Sprattus sprattus; Clupeidae)繁殖成功的影响几乎相同,并且产卵生物量和温度都影响了至少50年的募集。这三种波罗的海模型估计在二十一世纪的气候变化期间,生物量和渔业产量的发展相对类似(增加)(模型之间的波动范围为28%)。但是,与鱼类种群模型有关的不确定性以及区域模型使用的全球气候数据的来源都超出了这种不确定性。电子化的补充材料本文的在线版本(doi:10.1007 / s13280-012-0325-y)包含补充材料,授权用户可以使用。

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