Tracking and detecting sargassum pathways across the Tropical Atlantic

Tracking and detecting sargassum pathways across the Tropical Atlantic
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跟踪和检测横跨热带大西洋的马尾藻路径

DOI:
10.1088/2515-7620/ad14a3
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发表时间:
2023
影响因子:
2.9
通讯作者:
Fidai Y
Fidai Y
中科院分区:
环境科学与生态学4区
文献类型:
--
作者:
Fidai Y

文献摘要

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自 2011 年以来,中上层马尾藻(S Fluitans 和 S natans)藻类大量繁殖和登陆海滩已成为热带大西洋盆地的常见现象;它们对海洋生态系统和蓝色经济产生多种影响。为了减少影响并实现有效管理,对水华的预测和监测至关重要。在热带大西洋使用卫星图像进行马尾藻检测面临的挑战是空间分辨率和云量,由于热带间辐合带、热带风暴和飓风,该地区的云量特别密集。不可靠的卫星数据、风阻以及生长和死亡率的不确定性阻碍了远洋马尾藻成功的预报和预报模型。从长远来看,我们的目标是通过引入马尾藻垫移动速度、垫形态变化以及马尾藻垫大小和健康状况的证据来改进公海中上层马尾藻垫运动的预测模型。为了实现这一目标,我们在西热带大西洋的漂浮马尾藻垫上部署了八个追踪器。此外,我们还探讨了表面流、风应力和海面温度的一致性,作为跟踪器路径上生长的参数。当与遥感方法和气候数据(风、海流和海水温度)结合使用时,我们发现GPS跟踪器数据可以促进更可靠地监测马尾藻运输路径,有助于克服基于卫星的挑战以及基于模型的不确定性,并可以提高马尾藻预警系统的准确性和通用性。
Pelagic sargassum (S fluitans and S natans) algal blooms and beach landings have become a regular occurrence in the Tropical Atlantic Basin since 2011; they have a variety of impacts on the marine ecosystem and blue economy. To reduce the impacts and enable effective management, forecasting and monitoring of the blooms are essential. Challenges associated with use of satellite imagery for sargassum detection in the Tropical Atlantic are spatial resolution and cloud cover, which is particularly dense in this region due to the inter-tropical convergence zone, tropical storms and hurricanes. Successful models of forecasting and prediction of pelagic sargassum are hindered by unreliable satellite data, uncertainty around windage and as well as growth and mortality. In the longer term, we aim to improve the forecast models of pelagic sargassum mat movements in open oceans by introducing evidence of the speed of travel, changing mat morphology, and size and health status of sargassum mats. To achieve this, we deployed eight trackers on floating sargassum mats in the Western Tropical Atlantic. In addition, we explore the coincidence of surface currents, wind stress and sea surface temperature as a parameter for growth on the tracker pathways. When used in conjunction with both remote sensing methods and climate data (wind, current and sea temperature), we find that GPS tracker data can facilitate more reliable monitoring of sargassum transport pathways, helps to overcome satellite-based challenges as well as model based uncertainties, and may improve the accuracy and general utility of sargassum early warning systems.