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首页> 外文期刊>ICES Journal of Marine Science >Seasonality of spatial patterns of abundance, biomass, and biodiversity in a demersal community of the NW Mediterranean Sea
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Seasonality of spatial patterns of abundance, biomass, and biodiversity in a demersal community of the NW Mediterranean Sea

机译：地中海西北部海域群落中的丰度，生物量和生物多样性的空间格局的季节性

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摘要

Information on the spatial patterns and habitat preferences of marine species is key to understand the functioning of marine ecosystem and to manage and protect marine resources efficiently. However, the study of spatial patterns of marine ecosystems is challenging because they are dynamic environments that can vary seasonally. We modelled the spatial patterns of abundance, biomass, and biodiversity in a demersal community of the northwestern Mediterranean Sea by season using hierarchical Bayesian spatial models and environmental, physical, and anthropogenic factors. Overall, our findings revealed the importance of seasonality in the spatial patterns of the demersal community, which were mainly driven by sea surface temperature. Results also underlined important patterns of movements of demersal organisms: fishes, cephalopods, and crustaceans showed high densities in the area surrounding the Ebro Delta River in winter mainly driven by species-specific behaviour. Our results are relevant to inform future management measures in the study area, such as seasonal fishing restrictions, or to adapt local marine protected areas to seasonal processes. This study provides evidence of the need to expand current monitoring schemes to capture the seasonality of marine demersal communities for a more comprehensive marine spatial planning framework.
机译：有关海洋物种的空间格局和栖息地偏好的信息对于了解海洋生态系统的功能以及有效管理和保护海洋资源至关重要。但是，海洋生态系统空间格局的研究具有挑战性，因为它们是随季节变化的动态环境。我们使用分层贝叶斯空间模型以及环境，物理和人为因素，按季节对地中海西北部海域的一个群落中的丰度，生物量和生物多样性的空间格局进行了建模。总体而言，我们的研究结果揭示了季节性因素在海底生物群落空间格局中的重要性，这主要是由海面温度驱动的。结果还强调了水下生物的重要运动模式：鱼类，头足类和甲壳类动物冬季在埃布罗河三角洲周围地区表现出高密度，这主要是由于特定物种行为所致。我们的结果与为研究区域的未来管理措施（例如季节性捕鱼限制）或使当地海洋保护区适应季节过程提供了信息。这项研究提供了证据，有必要扩大当前的监测计划，以捕获海洋沉没社区的季节性，以获得更全面的海洋空间规划框架。

著录项

  • 来源
    《ICES Journal of Marine Science》 |2020年第2期|567-580|共14页
  • 作者

    Vilas Daniel; Pennino Maria Grazia; Bellido Jose M.; Navarro Joan; Palomera Isabel; Coll Marta;

  • 作者单位

    Inst Ciencies Mar ICM CSIC P Maritim de la Barceloneta 37-49 Barcelona 08003 Spain|Univ Florida Inst Food & Agr Sci Nat Coast Biol Stn Cedar Key FL 32625 USA|Univ Florida Sch Forest Resources & Conservat Fisheries & Aquat Sci Program Gainesville FL 32611 USA;

    Univ Fed Rio Grande do Norte UFRN Dept Ecol Fishing Ecol Management & Econ FEME Natal RN Brazil|Ctr Oceanog Vigo Inst Espanol Oceanog Av Beiramar 37 Vigo 36202 Pontevedra Spain|Univ Valencia Dept Estadist & Invest Operat Stat Modeling Ecol Grp SMEG C Dr Moliner 50 Valencia 46100 Spain;

    Univ Valencia Dept Estadist & Invest Operat Stat Modeling Ecol Grp SMEG C Dr Moliner 50 Valencia 46100 Spain|Ctr Oceanog Murcia Inst Espanol Oceanog C Varadero 1 Murcia 30740 Spain;

    Inst Ciencies Mar ICM CSIC P Maritim de la Barceloneta 37-49 Barcelona 08003 Spain;

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

    Bayesian analysis; Mediterranean Sea; seasonal patterns; spatial ecology; species distribution models; temperature;

    机译：贝叶斯分析;地中海;季节模式;空间生态学物种分布模型;温度;

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