描绘马尾藻的发展轨迹:将非线性弹性相互作用和生命周期纳入 Maxey-Riley 模型。

IF 2.2 Q2 MULTIDISCIPLINARY SCIENCES PNAS nexus Pub Date : 2024-10-08 eCollection Date: 2024-10-01 DOI:10.1093/pnasnexus/pgae451
Gage Bonner, F J Beron-Vera, M J Olascoaga
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引用次数: 0

摘要

自 2010 年代初以来,美洲内海(尤其是加勒比海)浮游马尾藻大量繁殖,引起了人们对生态问题的极大关注。这项研究强调了从机制上理解马尾藻动态的必要性,以阐明与藻华相关的生态影响和不确定性。通过引入一个新的传输模型,将洋流和风等物理成分与影响马尾藻生命周期(包括繁殖)的生物因素结合起来,并以增强的浮游粒子 Maxey-Riley 理论为基础。粒子间的非线性弹性力也被纳入其中,以模拟马尾藻筏内部和之间的相互作用。这促进了马尾藻在海洋漩涡中的聚集,与观测结果一致,从而促进了马尾藻的迁移。而目前马尾藻建模所采用的所谓 "回旋输送法 "则无法实现这一目标。利用卫星数据对模型进行了验证,结果表明该模型优于迂回模型。提供了可公开访问的代码,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对受影响地区马尾藻动态的预测能力和管理策略,从而有助于加深对海洋生态系统动态和恢复能力的理解。
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Charting the course of Sargassum: Incorporating nonlinear elastic interactions and life cycles in the Maxey-Riley model.

The surge of pelagic Sargassum 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 Sargassum 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 Sargassum 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 Sargassum 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 Sargassum 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 Sargassum dynamics in affected regions, thus contributing to a deeper understanding of marine ecosystem dynamics and resilience.

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