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首页> 外文期刊>Marine ecology progress series >Habitat selectivity of substrate-spawning fish: modelling requirements for the Eurasian perch Perca fluviatilis
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Habitat selectivity of substrate-spawning fish: modelling requirements for the Eurasian perch Perca fluviatilis

机译:底栖产卵鱼类的栖息地选择性:欧亚鲈鱼Perca fluviatilis的建模要求

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摘要

Substrate spawning fish are believed to be selective in their choice of spawning habitat, yet few studies have shown the relative importance of different characteristics in terms of habitat quality. We used an extensive and detailed dataset to identify the factors that govern both large-scale (10~3 to 10~5 m) and local-scale (10~1 to 10~2 m) selection by a substrate-spawning fish, the Eurasian perch Perca fluviatilis L. Distribution of spawning habitat was strongly dependent on habitat characteristics defined by substrate, wave exposure, temperature and depth. The most important predictor was the type of spawning substrate, which generally consisted of different types of vegetation. Substrates providing rigidity and structural complexity were preferred, despite abundant presence of other substrate types. Shallow depth and sheltered areas were also selected habitat characteristics. The response to temperature was scale-dependent, with a stronger selection expressed at the local scale. The specific selectivity suggests that spawning patterns can be successfuUy modelled with sufficient detail using only a few fundamental environmental variables. Wave exposure and depth are readily available for large-scale spatial predictions, while temperature and substrate require further development in most coastal areas. The high specificity of the characteristics determining habitat quality suggests that it should be possible to apply this modelling approach for identification and conservation of spawning habitats of Eurasian perch and other substrate-spawning fishes in coastal waters.
机译:人们认为底栖产卵鱼类在选择产卵栖息地方面具有选择性,但是很少有研究表明不同特征对栖息地质量的相对重要性。我们使用了一个广泛而详细的数据集来确定控制底栖产卵鱼大规模(10〜3至10〜5 m)和局部规模(10〜1至10〜2 m)选择的因素。欧亚鲈鱼Perca fluviatilis L.产卵栖息地的分布在很大程度上取决于由基质,波浪暴露,温度和深度定义的栖息地特征。最重要的预测指标是产卵基质的类型,通常由不同类型的植被组成。尽管存在其他类型的基材,但提供刚性和结构复杂性的基材仍是首选。浅层深度和庇护区也被选择为生境特征。对温度的响应取决于尺度,在局部尺度上表现出更强的选择。具体的选择性表明可以仅使用几个基本环境变量就可以成功地对产卵模式进行足够详细的建模。波浪暴露和深度很容易用于大规模空间预测,而温度和基质在大多数沿海地区都需要进一步发展。决定栖息地质量的特征的高度特异性表明,应该有可能应用这种建模方法来识别和保护欧亚鲈鱼和其他底栖鱼类在沿海水域的产卵栖息地。

著录项

  • 来源
    《Marine ecology progress series》 |2010年第398期|235-243|共9页
  • 作者单位

    Husoe Biological Station, Environmental and Marine Biology, Abo Akademi University, BioCity, PO Box 123,20521 Turku, Finland;

    rnSwedish Board of Fisheries, Institute of Coastal Research, Box 109, 74071 Oeregrund, Sweden Department of Limnology, Evolutionary Biology Centre (EBC), Uppsala University, Norbyvaegen 18D, 75236 Uppsala, Sweden;

    rnSwedish Board of Fisheries, Institute of Freshwater Research, Stangholmsvaegen 2,17893 Drottningholm, Sweden;

    rnSwedish Board of Fisheries, Institute of Coastal Research, Box 109, 74071 Oeregrund, Sweden;

    rnSwedish Board of Fisheries, Institute of Coastal Research, Box 109, 74071 Oeregrund, Sweden;

    rnThe Foundation for Uppland, Box 26074, 75026 Uppsala, Sweden;

    rnHusoe Biological Station, Environmental and Marine Biology, Abo Akademi University, BioCity, PO Box 123,20521 Turku, Finland;

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

    habitat modelling; nursery areas; large-scale maps; macrophytes; behaviour; oviposition; generalised additive model; GAM;

    机译:栖息地建模;育儿区;大型地图;大型植物;行为;产卵;广义加性模型GAM;

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