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从海洋色彩看气候的改变

作者:admin 发布时间:2019-05-19 20:50:37 浏览次数:213
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论文标题:Spontaneous droplets gyrating via asymmetric self-splitting on heterogeneous surfaces

作者:Stephanie Dutkiewicz, Anna E. Hickman, Oliver 从海洋色彩看气候的改变Jahn, Stephanie Henson, Claudie Beaulieu, Erwan Monier

论文标签:Climate change, Marine biology

数字识别码: 10.1038/s41467-019-08457-x

叶绿素a的改变是监测海洋浮游植物的全球改变的直接目标。在本研讨中,作者发现,在21世纪,遥感反射率(海洋外表处的上行光和下行光的比值)会更早更激烈地传递出气候改变导致的信号。

海洋浮游植物是海洋食物链的根底,在碳循环中至关重要,因而,监测它们的改变是一项非常重要的作业。由于有全球卫星的定时预算数据,一般,人们运用叶绿素a来追寻浮游植物的改变。但是,叶绿素a并不能经过卫星感应器直接测得,而是要经过遥感反射率(remote sensing reflectance,RRS,即海洋外表处的上行辐亮度和下行辐照度的比值)来进行预算。

近期,在发表于Nature Communications的一篇文章Ocean colour signature of climate change中,来自麻省理工学院的Stephanie Dutkiewicz及搭档经过一个模型发现,比起叶绿素a,蓝绿光谱段中的RRS或许能够更早更激烈地传递出气候改变导致的信号。这是由于RRS的天然变异更低,并且它不只是调集了水中叶绿素a的改变,也包含了其他重要的光学组分的改变。浮游植物群落的结构能激烈地影响海洋的光学特征,所以从反映海洋生态根底改变的视点来说,它传递出的信号或许是最显着、最敏捷的之一。

摘要:Monitoring changes in marine phytoplankton is important as they form the foundation of the marine food web and are crucial in the carbon cycle. Often Chlorophyll-a (Chl-a) is used to track changes in phytoplankton, since there are global, regular satellite-derived estimates. However, satellite sensors do not measure Chl-a directly. Instead, Chl-a is estimated from remote sensing reflectance (RRS): the ratio of upwelling radiance to the downwelling irradiance at the ocean’s surface. Using a model, we show that RRS in the blue-green spectrum is likely to have a stronger and earlier climate-change-driven signal than Chl-a. This is because RRS has lower natural variability and integrates not only changes to in-water Chl-a, but also alterations in 从海洋色彩看气候的改变other optically important constituents. Phytoplankton community structure, which strongly affects ocean optics, is likely to show one of the clearest and most rapid signatures 从海洋色彩看气候的改变of changes to the base of the marine ecosystem.

阅览论文全文请拜访:http://t.cn/EIaFswY

期刊介绍:Nature Communications(https://www.nature.com/ncomms/) is an open access journal that publishes high-quality research from all areas of the natural sciences. Papers published by the journal represent important advances of significance to specialists within each field.

The 2017 journal metrics for Nature Communications are as follows:

•2-year impact factor: 12.353

•5-year impact factor: 13.691

•Immed那书总不完结iacy index: 1.829

•Eigenfactor score: 0.92656

•Article Influence Score: 5.684

(来历:Nature Communications)

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