Bonner Gage, Beron-Vera F J, Olascoaga M J
Department of Atmospheric Sciences, Rosenstiel School of Marine, Atmospheric & Earth Science, University of Miami, Miami, FL 33176, USA.
Department of Ocean Sciences, Rosenstiel School of Marine, Atmospheric & Earth Science, University of Miami, Miami, FL 33176, USA.
PNAS Nexus. 2024 Oct 8;3(10):pgae451. doi: 10.1093/pnasnexus/pgae451. eCollection 2024 Oct.
The surge of pelagic in the Intra-America Seas, particularly the Caribbean Sea, since the early 2010s has raised significant ecological concerns. This study emphasizes the need for a mechanistic understanding of dynamics to elucidate the ecological impacts and uncertainties associated with blooms. By introducing a novel transport model, physical components such as ocean currents and winds are integrated with biological aspects affecting the life cycle, including reproduction, grounded in an enhanced Maxey-Riley theory for floating particles. Nonlinear elastic forces among the particles are included to simulate interactions within and among rafts. This promotes aggregation, consistent with observations, within oceanic eddies, which facilitate their transport. This cannot be achieved by the so-called leeway approach to transport, which forms the basis of current modeling. Using satellite-derived data, the model is validated, outperforming the leeway model. Publicly accessible codes are provided to support further research and ecosystem management efforts. This comprehensive approach is expected to improve predictive capabilities and management strategies regarding dynamics in affected regions, thus contributing to a deeper understanding of marine ecosystem dynamics and resilience.
自21世纪10年代初以来,美洲海域,特别是加勒比海的中上层鱼类数量激增,引发了重大的生态担忧。本研究强调需要对其动态进行机理理解,以阐明与水华相关的生态影响和不确定性。通过引入一种新颖的运输模型,将洋流和风等物理成分与影响其生命周期的生物学方面(包括繁殖)相结合,该模型基于增强的马克西 - 莱利(Maxey - Riley)漂浮粒子理论。粒子间的非线性弹性力被纳入以模拟筏内和筏间的相互作用。这促进了聚集,与观测结果一致,在海洋涡旋内,涡旋有利于它们的运输。这是当前基于所谓的漂流法进行运输建模所无法实现的。利用卫星衍生数据对该模型进行了验证,其性能优于漂流模型。提供了公开可用的代码以支持进一步的研究和生态系统管理工作。这种综合方法有望提高受影响地区关于其动态的预测能力和管理策略,从而有助于更深入地理解海洋生态系统动态和恢复力。