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Placing biodiversity in ecosystem models without getting lost in translation

机译:将生物多样性置于生态系统模型中而不会迷失在翻译中

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A key challenge to progressing our understanding of biodiversity's role in the sustenance of ecosystem function is the extrapolation of the results of two decades of dedicated empirical research to regional, global and future landscapes. Ecosystem models provide a platform for this progression, potentially offering a holistic view of ecosystems where, guided by the mechanistic understanding of processes and their connection to the environment and biota, large-scale questions can be investigated. While the benefits of depicting biodiversity in such models are widely recognized, its application is limited by difficulties in the transfer of knowledge from small process oriented ecology into macro-scale modelling. Here, we build on previous work, breaking down key challenges of that knowledge transfer into a tangible framework, highlighting successful strategies that both modelling and ecology communities have developed to better interact with one another. We use a benthic and a pelagic case-study to illustrate how aspects of the links between biodiversity and ecosystem process have been depicted in marine ecosystem models (ERSEM and MIRO), from data, to conceptualisation and model development. We hope that this framework may help future interactions between biodiversity researchers and model developers by highlighting concrete solutions to common problems, and in this way contribute to the advance of the mechanistic understanding of the role of biodiversity in marine (and terrestrial) ecosystems. (C) 2014 Elsevier B.V. All rights reserved.
机译:增进我们对生物多样性在维持生态系统功能中的作用的理解的一个关键挑战是将过去二十年的专门经验研究的结果推论到区域,全球和未来的景观。生态系统模型为这一进程提供了一个平台,有可能提供生态系统的整体视图,在此过程中,通过对过程及其与环境和生物群系的联系的机械理解,可以研究大规模问题。尽管在这种模型中描述生物多样性的好处已得到广泛认可,但由于将知识从面向小型过程的生态学转移到宏观模型中的困难,其应用受到了限制。在此,我们以先前的工作为基础,将知识转移的关键挑战分解为一个有形的框架,重点介绍了建模社区和生态社区已发展为更好地彼此交互的成功策略。我们使用底栖和远洋案例研究来说明海洋生态系统模型(ERSEM和MIRO)从数据到概念化和模型开发如何描述生物多样性和生态系统过程之间的联系。我们希望该框架可以通过突出解决常见问题的具体解决方案来帮助生物多样性研究人员与模型开发人员之间的未来互动,并以此方式促进对生物多样性在海洋(和陆地)生态系统中作用的机械理解的发展。 (C)2014 Elsevier B.V.保留所有权利。

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