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Anisotropic larval connectivity and metapopulation structure driven by directional oceanic currents in a marine fish targeted by small-scale fisheries

机译:小型渔业为目标的海洋鱼类中有向洋流驱动的各向异性幼虫连通性和种群结构

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摘要

The dispersal during the planktonic larval period is a key feature to understand the metapopulation structure of marine fishes, and is commonly described by four general models: (1) lack of population structure due to extensive larval dispersal; (2) isolation by geographic distance, where larval connectivity decreases with increasing distance between sites in all directions (isotropy); (3) population structure without any clear geographic trend (chaotic); and (4) population structure explained by seascape approaches that explicitly incorporate the spatial and temporal variations in the direction and strength of oceanic currents via oceanographic modeling. We tested the four models in the Pacific red snapper Lutjanus peru, a key commercial species in the Gulf of California (GC), Mexico. We genotyped 15 microsatellite loci in 225 samples collected during 20152016 from 8 sites, and contrasted the observed empirical genetic patterns against predictions from each model. We found low but significant levels of population structure among sites. Only the seascape approach was able to significantly explain levels of genetic structure and diversity, but exclusively within spring and summer, suggesting that this period represents the spawning season for L. peru. We showed that in the GC, the strong asymmetry in the oceanic currents causes larval connectivity to show different values when measured in distinct directions (anisotropy). Management tools, including marine reserves, could be more effective if placed upstream of the predominant flow. Managers should consider that oceanographic distances describing the direction and intensity of currents during the spawning period are significant predictors of larval connectivity between sites, as opposed to geographic distances.
机译:浮游性幼体期的扩散是了解海水鱼类种群结构的关键特征,通常由四个通用模型描述:(1)由于广泛的幼体扩散而缺乏种群结构; (2)通过地理距离隔离,其中幼虫的连通性随着各个方向上站点之间距离的增加而减小(各向同性); (三)人口结构没有明显的地理趋势(混乱); (4)通过海洋学方法解释的种群结构,该方法通过海洋学建模明确地结合了洋流的方向和强度的时空变化。我们在太平洋红鲷鱼Lutjanus秘鲁测试了这四种模型,该物种是墨西哥加利福尼亚湾(GC)的主要商业物种。我们对20152016年期间从8个地点收集的225个样本中的15个微卫星基因座进行了基因分型,并将观察到的经验遗传模式与每个模型的预测进行了对比。我们发现站点之间的人口结构水平较低但很重要。只有海景方法能够显着解释遗传结构和多样性的水平,但仅限于春季和夏季,这表明这一时期代表了秘鲁乳杆菌的产卵季节。我们表明,在GC中,洋流中的强不对称性导致幼虫的连通性在不同方向(各向异性)上显示出不同的值。如果将管理工具(包括海洋保护区)放置在主要水流的上游,则可能会更加有效。管理人员应认为,描述产卵期间洋流方向和强度的海洋学距离是站点之间幼虫连通性的重要预测指标,而不是地理距离。

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  • 来源
    《Marine biology》 |2018年第1期|16.1-16.16|共16页
  • 作者单位

    PANGAS Sci Coordinat Comunidad & Biodiversidad AC, Guaymas, Sonora, Mexico;

    Ctr Invest Cient & Educ Super Ensenada, Dept Oceanog Fis, Ensenada, Baja California, Mexico;

    Louisiana State Univ, Dept Biol Sci, Marine Speciat & Mol Evolut Lab, Baton Rouge, LA 70803 USA;

    Univ Calif San Diego, Div Marine Biol Res, Scripps Inst Oceanog, San Diego, CA 92103 USA;

    Soc Hist Nat Niparaja AC, La Paz, Baja California, Mexico;

    Soc Hist Nat Niparaja AC, La Paz, Baja California, Mexico;

    Soc Hist Nat Niparaja AC, La Paz, Baja California, Mexico;

    Inst Politecn Nacl, Ctr Interdisciplinario Ciencias Marinas, La Paz, Baja California, Mexico;

    Univ Autonoma Baja California Sur, Lab Sistemas Arrecifales, La Paz, Baja California, Mexico;

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