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位置并非一切:产卵聚集的时间安排可优化幼体补充

Location Isn't Everything: Timing of Spawning Aggregations Optimizes Larval Replenishment.

作者信息

Donahue Megan J, Karnauskas Mandy, Toews Carl, Paris Claire B

机构信息

Hawai'i Institute of Marine Biology, University of Hawai'i, Kāne'ohe, Hawai'i, United States of America.

Southeast Fisheries Science Center, Miami, FL, United States of America.

出版信息

PLoS One. 2015 Jun 23;10(6):e0130694. doi: 10.1371/journal.pone.0130694. eCollection 2015.

Abstract

Many species of reef fishes form large spawning aggregations that are highly predictable in space and time. Prior research has suggested that aggregating fish derive fitness benefits not just from mating at high density but, also, from oceanographic features of the spatial locations where aggregations occur. Using a probabilistic biophysical model of larval dispersal coupled to a fine resolution hydrodynamic model of the Florida Straits, we develop a stochastic landscape of larval fitness. Tracking virtual larvae from release to settlement and incorporating changes in larval behavior through ontogeny, we found that larval success was sensitive to the timing of spawning. Indeed, propagules released during the observed spawning period had higher larval success rates than those released outside the observed spawning period. In contrast, larval success rates were relatively insensitive to the spatial position of the release site. In addition, minimum (rather than mean) larval survival was maximized during the observed spawning period, indicating a reproductive strategy that minimizes the probability of recruitment failure. Given this landscape of larval fitness, we take an inverse optimization approach to define a biological objective function that reflects a tradeoff between the mean and variance of larval success in a temporally variable environment. Using this objective function, we suggest that the length of the spawning period can provide insight into the tradeoff between reproductive risk and reward.

摘要

许多珊瑚礁鱼类会形成大规模的产卵聚集,其在空间和时间上具有高度可预测性。先前的研究表明,聚集的鱼类不仅从高密度交配中获得适应性益处,还从聚集发生地点的海洋学特征中受益。通过将幼虫扩散的概率生物物理模型与佛罗里达海峡的高分辨率水动力模型相结合,我们构建了幼虫适应性的随机景观。追踪虚拟幼虫从释放到定居的过程,并纳入幼虫个体发育过程中的行为变化,我们发现幼虫的成功对产卵时间敏感。事实上,在观察到的产卵期释放的繁殖体比在观察到的产卵期之外释放的繁殖体具有更高的幼虫成功率。相比之下,幼虫成功率对释放地点的空间位置相对不敏感。此外,在观察到的产卵期内,幼虫的最低(而非平均)存活率达到最高,这表明了一种将补充失败概率降至最低的繁殖策略。鉴于这种幼虫适应性景观,我们采用逆优化方法来定义一个生物目标函数,该函数反映了在时间变化环境中幼虫成功的均值和方差之间的权衡。使用这个目标函数,我们认为产卵期的长度可以为生殖风险与回报之间的权衡提供见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06f1/4477890/cda0c9deac71/pone.0130694.g001.jpg

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