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首页> 外文期刊>ICES Journal of Marine Science >What controls the spatial distribution of the North Sea plaice spawning population? Confronting ecological hypotheses through a model selection framework
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What controls the spatial distribution of the North Sea plaice spawning population? Confronting ecological hypotheses through a model selection framework

机译：是什么控制着北海产卵种群的空间分布？通过模型选择框架应对生态假设

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摘要

The spatial dynamics of spawning fish are crucial because they influence the survival rates of eggs and larvae and ultimately impact the reproductive success of populations. The factors that control these dynamics are complex and potentially many, and they interact. A model-selection-based approach was developed to confront various hypotheses of control of the spatial distribution of spawning population of North Sea plaice (Pleuronectes platessa). For each hypothesis or combination thereof, statistical models were constructed. These were then ranked and selected based on their ability to adjust and predict observed spatial distributions. The North Sea plaice population seems to have developed strong attachment to specific spawning sites, where geographic location and population memory are important controlling factors. Temporal changes in spatial distribution patterns appear to be influenced primarily by population size and demography. Variations in hydrographic conditions such as temperature and salinity do not appear to control interannual fluctuations in spatial distribution. This means that, for reproduction, applying conventional habitat models may falsely attribute major controlling effects to environmental conditions. It is concluded that a multiple-hypothesis approach is essential to understanding and predicting the present and future distribution of the North Sea plaice population during its spawning season.
机译：产卵鱼的空间动态至关重要，因为它们会影响卵和幼虫的存活率，并最终影响种群的繁殖成功。控制这些动态因素非常复杂，甚至可能很多，并且它们相互作用。发展了一种基于模型选择的方法，以应对控制北海（Pleuronectes platesa）产卵种群空间分布的各种假设。对于每个假设或其组合，构建统计模型。然后根据它们调整和预测观察到的空间分布的能力对其进行排名和选择。北海种群似乎已对特定的产卵场产生了强烈的依恋，那里的地理位置和种群记忆是重要的控制因素。空间分布格局的时间变化似乎主要受人口规模和人口统计学的影响。水文条件的变化（例如温度和盐度）似乎无法控制空间分布的年际波动。这意味着，为了繁殖，应用常规栖息地模型可能错误地将主要的控制作用归因于环境条件。结论是，多重假设方法对于理解和预测北海在其产卵季节的当前和未来分布至关重要。

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  • 来源
    《ICES Journal of Marine Science》 |2010年第2期|244-257|共14页
  • 作者

    Christophe Loots; Sandrine Vaz; Benjamin Planque; Philippe Koubbi;

  • 作者单位

    Institut Frangais de Recherche pour I'Exploitation de la Mer (IFREMER), Laboratoire Ressources Halieutiques, 150 quai Cambetta, BP699, 62321 Boulogne sur mer, France;

    Institut Frangais de Recherche pour I'Exploitation de la Mer (IFREMER), Laboratoire Ressources Halieutiques, 150 quai Cambetta, BP699, 62321 Boulogne sur mer, France;

    Institute of Marine Research, PO Box 6404, 9294 Tromso, Norway;

    UPMC Universite Paris VI, UMR 7093, Laboratoire d'Oceanographie de Villefranche, 06230 Villefranche-sur-Mer, France CNRS, UMR 7093, LOV, 06230 Villefranche-sur-Mer, France;

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

    AIC; multi-model inference; north sea plaice; spatial distribution; spawning population;

    机译：AIC;多模型推理;北海空间分布;产卵人口;

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