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Probability of successful larval dispersal declines fivefold over 1 km in a coral reef fish

机译:珊瑚礁鱼成功幼体扩散的概率在1 km内下降了五倍

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摘要

A central question of marine ecology is, how far do larvae disperse? Coupled biophysical models predict that the probability of successful dispersal declines as a function of distance between populations. Estimates of genetic isolation-by-distance and self-recruitment provide indirect support for this prediction. Here, we conduct the first direct test of this prediction, using data from the well-studied system of clown anemonefish (Amphiprion percula) at Kimbe Island, in Papua New Guinea. Amphiprion percula live in small breeding groups that inhabit sea anemones. These groups can be thought of as populations within a metapopulation. We use the x- and y-coordinates of each anemone to determine the expected distribution of dispersal distances (the distribution of distances between each and every population in the metapopulation). We use parentage analyses to trace recruits back to parents and determine the observed distribution of dispersal distances. Then, we employ a logistic model to (i) compare the observed and expected dispersal distance distributions and (ii) determine the relationship between the probability of successful dispersal and the distance between populations. The observed and expected dispersal distance distributions are significantly different (p < 0.0001). Remarkably, the probability of successful dispersal between populations decreases fivefold over 1 km. This study provides a framework for quantitative investigations of larval dispersal that can be applied to other species. Further, the approach facilitates testing biological and physical hypotheses for the factors influencing larval dispersal in unison, which will advance our understanding of marine population connectivity.
机译:海洋生态学的中心问题是,幼虫能扩散到多远?耦合的生物物理模型预测,成功扩散的概率会随着种群之间距离的下降而下降。远距离遗传隔离和自我招募的估计为这一预测提供了间接支持。在这里,我们使用来自精心研究的巴布亚新几内亚金贝岛小丑海葵鱼(两栖动物)系统的数据,对该预测进行了首次直接检验。两栖动物栖息在海葵的小型繁殖群体中。可以将这些群体视为一个种群中的种群。我们使用每个海葵的x坐标和y坐标来确定分散距离的预期分布(分布人口中每个人口之间的距离分布)。我们使用亲子关系分析将新兵追溯到父母,并确定观察到的分散距离分布。然后,我们采用逻辑模型(i)比较观察到的和预期的散布距离分布,以及(ii)确定成功散布的概率与总体之间的距离之间的关系。观察到的和预期的分散距离分布明显不同(p <0.0001)。值得注意的是,人口成功分散的概率在1 km内降低了五倍。这项研究为可用于其他物种的幼虫扩散的定量研究提供了一个框架。此外,该方法有助于一致地测试影响幼虫扩散的因素的生物学和物理假设,这将增进我们对海洋种群连通性的理解。

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