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Exploring the role of movement in determining the global distribution of marine biomass using a coupled hydrodynamic - Size-based ecosystem model

机译:利用基于大小的水动力耦合生态系统模型探讨运动在确定海洋生物量全球分布中的作用

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Modeling the dynamics of marine populations at a global scale - from phytoplankton to fish - is necessary if we are to quantify how climate change and other broad-scale anthropogenic actions affect the supply of marine-based food. Here, we estimate the abundance and distribution of fish biomass using a simple size-based food web model coupled to simulations of global ocean physics and biogeochemistry. We focus on the spatial distribution of biomass, identifying highly productive regions - shelf seas, western boundary currents and major upwelling zones. In the absence of fishing, we estimate the total ocean fish biomass to be similar to 2.84 x 10(9) tonnes, similar to previous estimates. However, this value is sensitive to the choice of parameters, and further, allowing fish to move had a profound impact on the spatial distribution of fish biomass and the structure of marine communities. In particular, when movement is implemented the viable range of large predators is greatly increased, and stunted biomass spectra characterizing large ocean regions in simulations without movement, are replaced with expanded spectra that include large predators. These results highlight the importance of considering movement in global-scale ecological models. (C) 2014 Elsevier Ltd. All rights reserved.
机译:如果我们要量化气候变化和其他大规模人类活动如何影响海洋食物的供应,就必须对从浮游植物到鱼类的全球海洋种群动态建模。在这里,我们使用简单的基于大小的食物网模型以及全球海洋物理和生物地球化学的模拟来估算鱼类生物量的丰度和分布。我们专注于生物量的空间分布,确定高产区-架子海,西部边界流和主要上升流区。在没有捕鱼的情况下,我们估计海洋鱼类总生物量约为2.84 x 10(9)吨,与先前的估计相似。但是,该值对参数的选择很敏感,而且,允许鱼类移动对鱼类生物量的空间分布和海洋群落的结构产生了深远的影响。特别是,当实施移动时,大型捕食者的生存范围会大大增加,并且在模拟中没有移动的情况下,表征大型海洋区域的生物量受阻碍的生物量光谱将被包含大型捕食者的扩展光谱所取代。这些结果突出了在全球规模的生态模型中考虑运动的重要性。 (C)2014 Elsevier Ltd.保留所有权利。

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  • 来源
    《Progress in Oceanography》 |2015年第novaptab期|521-532|共12页
  • 作者单位

    Princeton Univ, Atmospher & Ocean Sci Program, Princeton, NJ 08544 USA|Princeton Univ, Dept Ecol & Evolutionary Biol, Princeton, NJ 08544 USA;

    NOAA, Geophys Fluid Dynam Lab, Princeton, NJ 08544 USA;

    Princeton Univ, Atmospher & Ocean Sci Program, Princeton, NJ 08544 USA;

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