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How models can support ecosystem-based management of coral reefs

机译:模型如何支持基于生态系统的珊瑚礁管理

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Despite the importance of coral reef ecosystems to the social and economic welfare of coastal communities, the condition of these marine ecosystems have generally degraded over the past decades. With an increased knowledge of coral reef ecosystem processes and a rise in computer power, dynamic models are useful tools in assessing the synergistic effects of local and global stressors on ecosystem functions. We review representative approaches for dynamically modeling coral reef ecosystems and categorize them as minimal, intermediate and complex models. The categorization was based on the leading principle for model development and their level of realism and process detail. This review aims to improve the knowledge of concurrent approaches in coral reef ecosystem modeling and highlights the importance of choosing an appropriate approach based on the type of question(s) to be answered. We contend that minimal and intermediate models are generally valuable tools to assess the response of key states to main stressors and, hence, contribute to understanding ecological surprises. As has been shown in freshwater resources management, insight into these conceptual relations profoundly influences how natural resource managers perceive their systems and how they manage ecosystem recovery. We argue that adaptive resource management requires integrated thinking and decision support, which demands a diversity of modeling approaches. Integration can be achieved through complimentary use of models or through integrated models that systemically combine all relevant aspects in one model. Such whole-of-system models can be useful tools for quantitatively evaluating scenarios. These models allow an assessment of the interactive effects of multiple stressors on various, potentially conflicting, management objectives. All models simplify reality and, as such, have their weaknesses. While minimal models lack multidimensionality, system models are likely difficult to interpret as they require many efforts to decipher the numerous interactions and feedback loops. Given the breadth of questions to be tackled when dealing with coral reefs, the best practice approach uses multiple model types and thus benefits from the strength of different models types. (C) 2015 Elsevier Ltd. All rights reserved.
机译:尽管珊瑚礁生态系统对沿海社区的社会和经济福利具有重要意义,但在过去的几十年中,这些海洋生态系统的状况总体上已经恶化。随着对珊瑚礁生态系统过程知识的增加和计算机功能的增强,动态模型是评估本地和全球压力源对生态系统功能的协同效应的有用工具。我们回顾了动态建模珊瑚礁生态系统的代表性方法,并将其分类为最小,中间和复杂模型。该分类基于模型开发的主要原则及其真实性和过程详细程度。这篇综述旨在增进对珊瑚礁生态系统建模中并行方法的了解,并强调了根据要回答的问题类型选择适当方法的重要性。我们认为,最小和中间模型通常是评估关键状态对主要压力源的响应的有价值的工具,因此有助于理解生态意外。正如淡水资源管理所表明的那样,对这些概念关系的深刻影响深刻影响着自然资源管理者如何看待他们的系统以及他们如何管理生态系统的恢复。我们认为,自适应资源管理需要集成的思维和决策支持,这需要多种建模方法。可以通过互补使用模型或通过将所有相关方面系统地组合到一个模型中的集成模型来实现集成。这样的整个系统模型可能是定量评估方案的有用工具。这些模型允许评估多个压力源对各种可能相互冲突的管理目标的交互作用。所有模型都简化了现实,因此也有其缺点。尽管最小的模型缺乏多维性,但系统模型可能难以解释,因为它们需要付出很多努力才能破译大量的交互作用和反馈回路。考虑到在处理珊瑚礁时要解决的问题之广,最佳实践方法使用多种模型类型,因此可以从不同模型类型的优势中受益。 (C)2015 Elsevier Ltd.保留所有权利。

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  • 来源
    《Progress in Oceanography》 |2015年第novaptab期|559-570|共12页
  • 作者单位

    Univ Hawaii Manoa, Joint Inst Marine & Atmospher Res, Honolulu, HI 96822 USA|Wageningen Univ, Environm Syst Anal Grp, NL-6700 AA Wageningen, Netherlands;

    CSIRO, Oceans & Atmosphere Flagship, Hobart, Tas, Australia;

    Netherlands Inst Ecol NIOO KNAW, Dept Aquat Ecol, NL-6700 AB Wageningen, Netherlands;

    Netherlands Inst Ecol NIOO KNAW, Dept Aquat Ecol, NL-6700 AB Wageningen, Netherlands;

    Wageningen Univ, Environm Syst Anal Grp, NL-6700 AA Wageningen, Netherlands;

    CSIRO, Land & Water Flagship, Black Mt, Australia;

    Wageningen Univ, Aquat Ecol & Water Qual Management Grp, NL-6700 AA Wageningen, Netherlands;

    Netherlands Inst Ecol NIOO KNAW, Dept Aquat Ecol, NL-6700 AB Wageningen, Netherlands|Wageningen Univ, Aquat Ecol & Water Qual Management Grp, NL-6700 AA Wageningen, Netherlands;

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