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遥感为太平洋深海环礁中的浮游植物生物量动态和黑珍珠牡蛎生活史特征提供了新的见解。

Remote sensing provides new insights on phytoplankton biomass dynamics and black pearl oyster life-history traits in a Pacific Ocean deep atoll.

机构信息

UMR 8187 LOG (Laboratory of Oceanology and Geosciences), Univ Lille, ULCO, CNRS, IRD, station marine de Wimereux, 59000 Lille, France.

UMR 8187 LOG (Laboratory of Oceanology and Geosciences), Univ Lille, ULCO, CNRS, IRD, station marine de Wimereux, 59000 Lille, France.

出版信息

Mar Pollut Bull. 2022 Aug;181:113863. doi: 10.1016/j.marpolbul.2022.113863. Epub 2022 Jul 7.

DOI:10.1016/j.marpolbul.2022.113863
PMID:35810646
Abstract

Thus far, no long-term in situ observation of planktonic biomass have been undertaken to optimize the black-lip pearl oyster aquaculture in the remote Tuamotu atolls. The feasibility of using data from the OLI sensor onboard Landsat-8 satellite to determine chlorophyll a concentrations (Chla) in a deep atoll, Ahe, was then assessed over the 2013-2021 period using 153 images. Validations with in situ observations were satisfactory, while seasonal and spatial patterns in Chla were evidenced within the lagoon. Then, a bioenergetic modelling exercise was undertaken to estimate oyster life-history traits when exposed to the retrieved Chla. The outputs provide spatio-temporal variations in pelagic larval duration (11.1 to 30.6 days), time to reach commercial size (18.8 to 45.3 months) and reproductive outputs (0.5 to 1.7 event year). This first study shows the potential of using remote sensing to monitor the trophic status of deep pearl farming lagoons and help aquaculture management.

摘要

迄今为止,为了优化偏远图阿莫图环礁的黑唇珍珠牡蛎养殖,尚未进行浮游生物生物量的长期原地观测。然后,在 2013 年至 2021 年期间,使用 153 张图像评估了使用 Landsat-8 卫星上的 OLI 传感器数据在一个深环礁 Ahe 中确定叶绿素 a 浓度 (Chla) 的可行性。与现场观测的验证结果令人满意,同时在泻湖内证明了 Chla 的季节性和空间模式。然后,进行了生物能量学建模练习,以估计在检索到的 Chla 下暴露的牡蛎生活史特征。输出结果提供了浮游幼虫持续时间(11.1 至 30.6 天)、达到商业尺寸的时间(18.8 至 45.3 个月)和生殖产量(0.5 至 1.7 个事件年)的时空变化。这项首次研究表明,利用遥感监测深珍珠养殖泻湖的营养状况并帮助水产养殖管理具有潜力。

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