Quantifying dispersal variability among nearshore marine populations
Quantifying dispersal variability among nearshore marine populations
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DOI：
10.1111/mec.15732
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发表时间：
2020-12-04
影响因子：
4.9
通讯作者：
Pinsky, Malin L.
中科院分区：
文献类型：
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作者：
Catalano, Katrina A.;Dedrick, Allison G.;Pinsky, Malin L.
扩散驱动着从种群持续到群落动态的各种过程。然而，对于具有环境驱动扩散的生物体，扩散的时间变化量及其对集合种群动态的影响在很大程度上是未知的（例如，许多海洋幼虫、节肢动物和植物种子）。在这里，我们使用遗传亲子分析，以检测幼虫扩散事件在一个共同的珊瑚礁鱼，双锯鱼clarkii，沿着30公里的海岸线组成的19个珊瑚礁补丁在奥尔莫克湾，莱特，菲律宾。我们量化了七年（2012-2018）和季风季节的扩散核心的变化，其中791名新兵和1，729名成年人的71个亲子关系分配。不同年份和季节的连接模式的规模和形状显着不同，但在传播的方向。这种年际变化的扩散内核引入了积极的时间协方差之间的扩散路线，理论预测可能会减少随机集合种群的增长率低于预期的增长率，只有一个单一的或时间平均的连接估计。多年来在这里观察到的平均扩散距离的变化程度在幅度上与珊瑚礁鱼类之间的差异相当。考虑扩散变异将是进一步研究不同类群的集合种群和集合共生性的重要途径。
Dispersal drives diverse processes from population persistence to community dynamics. However, the amount of temporal variation in dispersal and its consequences for metapopulation dynamics is largely unknown for organisms with environmentally driven dispersal (e.g., many marine larvae, arthropods and plant seeds). Here, we used genetic parentage analysis to detect larval dispersal events in a common coral reef fish, Amphiprion clarkii, along 30 km of coastline consisting of 19 reef patches in Ormoc Bay, Leyte, Philippines. We quantified variation in the dispersal kernel across seven years (2012-2018) and monsoon seasons with 71 parentage assignments from 791 recruits and 1,729 adults. Connectivity patterns differed significantly among years and seasons in the scale and shape but not in the direction of dispersal. This interannual variation in dispersal kernels introduced positive temporal covariance among dispersal routes that theory predicts is likely to reduce stochastic metapopulation growth rates below the growth rates expected from only a single or a time-averaged connectivity estimate. The extent of variation in mean dispersal distance observed here among years is comparable in magnitude to the differences across reef fish species. Considering dispersal variation will be an important avenue for further metapopulation and metacommunity research across diverse taxa.