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Towards methodological approaches to implement the zooplankton component in 'end to end' food-web models

机译:在“端到端”食物网模型中实现浮游动物组成部分的方法学方法

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摘要

The modelling of marine zooplankton has made great progress over the two last decades covering a large range of representations from detailed individual processes to functional groups. A new challenge is to dynamically represent zooplankton within marine food webs coupling lower trophic levels to fish and to thereby further our understanding of the role of zooplankton in global change. In this respect, the "rhomboid strategy" (deYoung et al., 2004) has been suggested as a generic approach to model the various trophic levels of pelagic ecosystems and is deemed to be adaptable to different spatial and temporal frames of applications. The present paper identifies directions to develop zooplankton modelling by combining the skills of modellers, experimentalists, observers and theoreticians. In the first part, we present the main types of existing models, specifying the scientific issues, their characteristic time and space scales, across the ecological organization levels. In the second part, we focus on the strengths and weaknesses of parameterizations for the different processes. Finally in the last part, we make suggestions for improving these parameterizations by combining experiments and observations, using modelling techniques to transfer information across scales and testing theories which can themselves help to organize experimental and modelling research.
机译:在过去的二十年中,海洋浮游动物的建模取得了长足的进步,涵盖了从详细的单个过程到功能组的各种表示形式。一个新的挑战是在海洋食物网中动态表示浮游动物,将低营养水平与鱼类联系起来,从而进一步了解浮游动物在全球变化中的作用。在这方面,已提出“菱形策略”(deYoung等,2004)作为模拟远洋生态系统各种营养水平的通用方法,并被认为适用于不同的时空应用框架。本文通过结合建模者,实验者,观察者和理论家的技能,确定了发展浮游动物建模的方向。在第一部分中,我们介绍了现有模型的主要类型,详细说明了整个生态组织层面的科学问题及其特征性的时空尺度。在第二部分中,我们关注于不同过程的参数化的优缺点。最后,在最后一部分中,我们提出了通过结合实验和观察,使用建模技术跨尺度传递信息和测试理论来改进这些参数化的建议,这些理论本身可以帮助组织实验和建模研究。

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  • 来源
    《Progress in Oceanography》 |2010年第2期|20-38|共19页
  • 作者

    F. Carlotti; J.C. Poggiale;

  • 作者单位

    Laboratoire d'Oceanographie Physique et Biogeochimique, UMR 6535, Station Marine d'Endoume, Observatoire des Sciences de l'Univers (OSU) - Centre d'Oceanologie de Marseille (COM) C.N.R.S. - Universite de la Mediterranee, Rue de la Batterie des Lions, F-13007 Marseille, France;

    rnLaboratoire de Microbiologie, Geochimie et Ecologie Marines, UMR 6117, Observatoire des Sciences de l'Univers (OSU) - Centre d'Oceanologie de Marseille (COM), C.N.R.S. - Universite de la Mediterranee - Case 901, 163 Avenue de Luminy, 13288 Marseille cedex 9, France;

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