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Comparing the ecological relevance of four wave exposure models

机译：比较四种波浪暴露模型的生态相关性

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摘要

Wave exposure is one of the main structuring forces in the marine environment. Methods that enable large scale quantification of environmental variables have become increasingly important for predicting marine communities in the context of spatial planning and coastal zone management. Existing methods range from cartographic solutions to numerical hydrodynamic simulations, and differ in the scale and spatial coverage of their outputs. Using a biological exposure index we compared the performance of four wave exposure models ranging from simple to more advanced techniques. All models were found to be related to the biological exposure index and their performance, measured as bootstrapped R~2 distributions, overlapped. Qualitatively, there were differences in the spatial patterns indicating higher complexity with more advanced techniques. In order to create complex spatial patterns wave exposure models should include diffraction, especially in coastal areas rich in islands. The inclusion of wind strength and frequency, in addition to wind direction and bathymetry, further tended to increase the amount of explained variation. The large potential of high-resolution numerical models to explain the observed patterns of species distribution in complex coastal areas provide exciting opportunities for future research. Easy access to relevant wave exposure models will aid large scale habitat classification systems and the continuously growing field of marine species distribution modelling, ultimately serving marine spatial management and planning.
机译：波浪暴露是海洋环境中的主要构造力之一。在空间规划和海岸带管理的背景下，能够对环境变量进行大规模量化的方法对于预测海洋群落变得越来越重要。现有方法范围从制图解决方案到数值流体动力学模拟，并且其输出的规模和空间覆盖范围不同。使用生物暴露指数，我们比较了从简单技术到更先进技术的四种波浪暴露模型的性能。发现所有模型都与生物暴露指数有关，并且它们的性能（以自举的R〜2分布衡量）重叠。定性上，空间模式存在差异，表明使用更先进的技术会导致更高的复杂性。为了创建复杂的空间格局，波浪暴露模型应包括衍射，尤其是在岛屿密集的沿海地区。除了风向和测深仪之外，还包括风强度和频率，这往往会增加所解释的变化量。高分辨率数值模型具有解释复杂沿海地区物种分布格局的巨大潜力，为未来的研究提供了令人兴奋的机会。轻松访问相关的波辐射模型将有助于大规模生境分类系统和海洋物种分布建模领域的不断发展，最终为海洋空间管理和规划服务。

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  • 来源
    《Estuarine Coastal and Shelf Science》 |2014年第1期|7-13|共7页
  • 作者

    G. Sundblad; T. Bekkby; M. Isaeus; A. Nikolopoulos; K.M. Norderhaug; E. Rinde;

  • 作者单位

    AquaBiota Water Research, Loejtnantsgatan 15, SE-11550 Stockholm, Sweden;

    Norwegian Institute for Water Research, Gaustadalleen 21, N-0349 Oslo, Norway,Natural History Museum, University of Oslo, P.O. Box 1172 Blindern, N-0318 Oslo, Norway;

    AquaBiota Water Research, Loejtnantsgatan 15, SE-11550 Stockholm, Sweden;

    AquaBiota Water Research, Loejtnantsgatan 15, SE-11550 Stockholm, Sweden;

    Norwegian Institute for Water Research, Gaustadalleen 21, N-0349 Oslo, Norway,Department of Biosciences, University of Oslo, P.O. Box 1066 Blindern, N-0316 Oslo, Norway;

    Norwegian Institute for Water Research, Gaustadalleen 21, N-0349 Oslo, Norway;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    wave exposure models; wave fetch; biological exposure index; rocky shore communities; Norway;

    机译：波浪暴露模型;波获取生物暴露指数;多岩石的海岸社区;挪威;

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