近岸海洋学对幼虫扩散时间变化的贡献。

IF 4.4 2区 环境科学与生态学 Q1 ECOLOGY Ecology Pub Date : 2024-08-28 DOI:10.1002/ecy.4412
Katrina A. Catalano, Elizabeth J. Drenkard, Enrique N. Curchitser, Allison G. Dedrick, Michelle R. Stuart, Humberto R. Montes Jr., Malin L. Pinsky
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引用次数: 0

摘要

种群连通性模式决定了从种群持久性到地方适应性的生态和进化现象,并可为保护战略提供信息。连通性模式产生于个体行为与复杂的异质环境之间的相互作用。尽管有大量观察表明扩散模式随时间而变化,但物理环境的变化在多大程度上可以解释新出现的连通性变化还不清楚。对其贡献的实证研究有望揭示影响自然种群动态的潜在变异来源。我们利用对菲律宾卡莫茨海小丑鱼(Amphiprion clarkii)的直接扩散观测和海洋学迁移模拟同时进行的方法,评估了海洋学变异对连通性新兴变异的贡献。我们发现,年度和季风时间尺度上的时变海洋模拟都能部分解释观测到的扩散模式,这表明海洋传输的时间变化塑造了这些时间尺度上的连通性变化。然而,观测到的平均扩散距离的年际变化几乎是生物物理模拟的预期变化的 10 倍,这揭示了造成年际连通性变化的其他生物和非生物因素。模拟的扩散核也预测了比观测到的更小的扩散规模,这支持了一个假设,即未记录的非生物因素和行为(如游泳和导航)提高了成功扩散到远离产地的概率,而不是留在产地附近。我们的研究结果突显了通过观测和生物物理模拟来检验扩散假说以及时间变化对元种群持久性、当地适应性和其他种群过程的影响的潜力。
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The contribution of nearshore oceanography to temporal variation in larval dispersal

Patterns of population connectivity shape ecological and evolutionary phenomena from population persistence to local adaptation and can inform conservation strategy. Connectivity patterns emerge from the interaction of individual behavior with a complex and heterogeneous environment. Despite ample observation that dispersal patterns vary through time, the extent to which variation in the physical environment can explain emergent connectivity variation is not clear. Empirical studies of its contribution promise to illuminate a potential source of variability that shapes the dynamics of natural populations. We leveraged simultaneous direct dispersal observations and oceanographic transport simulations of the clownfish Amphiprion clarkii in the Camotes Sea, Philippines, to assess the contribution of oceanographic variability to emergent variation in connectivity. We found that time-varying oceanographic simulations on both annual and monsoonal timescales partly explained the observed dispersal patterns, suggesting that temporal variation in oceanographic transport shapes connectivity variation on these timescales. However, interannual variation in observed mean dispersal distance was nearly 10 times the expected variation from biophysical simulations, revealing that additional biotic and abiotic factors contribute to interannual connectivity variation. Simulated dispersal kernels also predicted a smaller scale of dispersal than the observations, supporting the hypothesis that undocumented abiotic factors and behaviors such as swimming and navigation enhance the probability of successful dispersal away from, as opposed to retention near, natal sites. Our findings highlight the potential for coincident observations and biophysical simulations to test dispersal hypotheses and the influence of temporal variability on metapopulation persistence, local adaptation, and other population processes.

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来源期刊
Ecology
Ecology 环境科学-生态学
CiteScore
8.30
自引率
2.10%
发文量
332
审稿时长
3 months
期刊介绍: Ecology publishes articles that report on the basic elements of ecological research. Emphasis is placed on concise, clear articles documenting important ecological phenomena. The journal publishes a broad array of research that includes a rapidly expanding envelope of subject matter, techniques, approaches, and concepts: paleoecology through present-day phenomena; evolutionary, population, physiological, community, and ecosystem ecology, as well as biogeochemistry; inclusive of descriptive, comparative, experimental, mathematical, statistical, and interdisciplinary approaches.
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