Bio-optical provinces in the eastern Atlantic Ocean and their biogeographical relevance
Bio-optical provinces in the eastern Atlantic Ocean and their biogeographical relevance
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DOI：
10.5194/bg-8-3609-2011
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发表时间：
2011-12
期刊：
影响因子：
4.9
通讯作者：
B. Taylor;E. Torrecilla;A. Bernhardt;Marc H. Taylor;I. Peeken;R. Röttgers;J. Piera;A. Bracher
中科院分区：
文献类型：
--
作者：
B. Taylor;E. Torrecilla;A. Bernhardt;Marc H. Taylor;I. Peeken;R. Röttgers;J. Piera;A. Bracher
抽象的。浮游植物组合和相关的光学性质的水体之间的关系是重要的大规模遥感浮游植物生物量的算法的进一步发展和浮游植物功能类型（PFT），这往往是代表不同的地球化学输出情景的识别。光学现场测量有助于确定具有不同色素成分的浮游植物群体，并广泛用于验证遥感数据。在这项研究中，我们提出了跨学科的邮轮上的RV Polarstern沿着北向南的断面在大西洋东部在2008年11月的结果。浮游植物群落组成确定了使用广泛的一套原位测量。采用高效液相色谱法、流式细胞仪、分光光度法和显微镜对表层和最大叶绿素浓度深度的水样进行了分析。同时，通过一组高光谱分辨率（超光谱）辐射计测量了上面和水下的光场。一个无监督的聚类算法应用到测量的参数，使我们能够定义生物光学省，我们在文献中提出的生态省相比。正如所料，picophytoplankton是负责大部分的变化PFT在东大西洋。我们的生物光学集群同意与既定省份，因此可以用来分类类似的地理区域。这种方法有可能成为一种自动化的方法，卫星数据可用于确定已建立的生态省的变化边界，或跟踪规则的例外情况，以提高我们对海洋地球化学循环的理解。
Abstract. The relationship between phytoplankton assemblages and the associated optical properties of the water body is important for the further development of algorithms for large-scale remote sensing of phytoplankton biomass and the identification of phytoplankton functional types (PFTs), which are often representative for different biogeochemical export scenarios. Optical in-situ measurements aid in the identification of phytoplankton groups with differing pigment compositions and are widely used to validate remote sensing data. In this study we present results from an interdisciplinary cruise aboard the RV Polarstern along a north-to-south transect in the eastern Atlantic Ocean in November 2008. Phytoplankton community composition was identified using a broad set of in-situ measurements. Water samples from the surface and the depth of maximum chlorophyll concentration were analyzed by high performance liquid chromatography (HPLC), flow cytometry, spectrophotometry and microscopy. Simultaneously, the above- and underwater light field was measured by a set of high spectral resolution (hyperspectral) radiometers. An unsupervised cluster algorithm applied to the measured parameters allowed us to define bio-optical provinces, which we compared to ecological provinces proposed elsewhere in the literature. As could be expected, picophytoplankton was responsible for most of the variability of PFTs in the eastern Atlantic Ocean. Our bio-optical clusters agreed well with established provinces and thus can be used to classify areas of similar biogeography. This method has the potential to become an automated approach where satellite data could be used to identify shifting boundaries of established ecological provinces or to track exceptions from the rule to improve our understanding of the biogeochemical cycles in the ocean.