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Remote sensing of size structure of phytoplankton communities using optical properties of the Chukchi and Bering Sea shelf region

机译:利用楚科奇和白令海陆架区的光学特性遥感浮游植物群落的大小结构

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pstrongAbstract./strong Recent ocean warming and subsequent sea ice decline resulting from climate change could affect the northward shift of the ecosystem structure in the Chukchi Sea and Bering Sea shelf region (Grebmeier et al., 2006b). The size structure of phytoplankton communities provides an index of trophic levels that is crucial to understanding the mechanisms underlying such ecosystem changes and their implications for the future. This study proposes a new ocean color algorithm for deriving this characteristic by using the region's optical properties. The size derivation model (SDM) estimates the phytoplankton size index iF/isubL/sub on the basis of size-fractionated chlorophyll-ia/i (chl-ia/i) using the light absorption coefficient of phytoplankton, ia/isubph/sub(??), and the backscattering coefficient of suspended particles including algae, ib/isubbp/sub(??). iF/isubL/sub was defined as the ratio of algal biomass attributed to cells larger than 5 ??m to the total. It was expressed by a multiple regression model using the ia/isubph/sub(??) ratio, ia/isubph/sub(488)/ia/isubph/sub(555), which varies with phytoplankton pigment composition, and the spectral slope of ib/isubbp/sub(??), ?3, which is an index of the mean suspended particle size. A validation study demonstrated that 69% of unknown data are correctly derived within iF/isubL/sub range of ?±20%. The spatial distributions of iF/isubL/sub for the cold August of 2006 and the warm August of 2007 were compared to examine application of the SDM to satellite remote sensing. The results suggested that phytoplankton size was responsive to changes in sea surface temperature. Further analysis of satellite-derived iF/isubL/sub values and other environmental factors can advance our understanding of ecosystem structure changes in the shelf region of the Chukchi and Bering Seas./p.
机译:> >摘要。近期气候变化导致的海洋变暖和随后的海冰减少可能会影响楚科奇海和白令海陆架地区生态系统结构的北移(Grebmeier等,2006b)。 。浮游植物群落的大小结构提供了营养水平指数,这对于理解这种生态系统变化的潜在机制及其对未来的影响至关重要。这项研究提出了一种新的海洋颜色算法,可以通过使用该区域的光学特性来推导该特征。尺寸推导模型(SDM)根据尺寸分级的叶绿素- a (chl- L > a )使用浮游植物的光吸收系数 a ph (??)以及包括藻类, b在内的悬浮颗粒的反向散射系数 bp (??)。 F L 定义为归因于大于5 ?? m的细胞的藻类生物量与总数之比。它是使用 a ph (??)比, a ph (488)的多元回归模型表示的)/ a ph (555),随浮游植物色素成分和 b bp 的光谱斜率而变化(η),Δ3,是平均悬浮颗粒尺寸的指标。一项验证研究表明,在 F L 的±±20%范围内正确得出了69%的未知数据。比较了2006年8月寒冷和2007年8月温暖的 F L 的空间分布,以检验SDM在卫星遥感中的应用。结果表明,浮游植物的大小对海表温度的变化有响应。进一步分析源自卫星的 F L 值和其他环境因素可以增进我们对楚科奇海和白令海陆架区域生态系统结构变化的理解。

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