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Seasonal and interannual variability of phytoplankton biomass and productivity in the sub-arctic Pacific using multi-sensor satellite data

机译:使用多传感器卫星数据的亚北极太平洋季节性和续集植物生物量和生产率的变异性

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This study documents the results of a multi-sensor satellite investigation aimed at comparing the seasonality and interannual variability of phytoplankton biomass and primary productivity (PP) in the western and eastern sub-arctic Pacific. Remotely sensed data from multi-sensors, including ocean color (OCTS and SeaWiFS), sea surface temperature (SST, AVHRR), wind (SSM/I) and photosynthetically available radiation (PAR, SeaWiFS) datasets were utilized for the purpose of this study. Calculation was made for primary productivity using VGPM Model (Behrenfeld and Falkowski, 1997), and sea surface nitrate using SST and chl-a data (Goes et al,. 1999,2000). Satellite data helped discern several features, most importantly the existence of significant east-west gradients in the supply of nitrate in winter, in the consumption of nitrate by phytoplankton and in phytoplankton production and biomass accumulation over the growth season. In the western sub-arctic gyre many of these features appear to be regulated by the strength of sea surface winds through increased iron and nitrate inputs. Multiple regression analysis of data extracted from 12 boxes spanning different hydrographic regimes in the sub-arctic Pacific, showed that over 65% of the variations in PP in the sub-arctic Pacific could be explained solely on the basis of changes in the strength of sea surface winds and the intensity of incident irradiance (PAR). The dependence of PP on sea surface wind stress was far greater in the western sub-arctic Pacific Gyre (WSG), than in the Alaskan Gyre (ALG) due to diminishing impact of surface winds towards the east. Spring accumulation of phytoplankton biomass was greater in the WSG than in the ALG despite the higher rates of PP in the latter. This study assumes particular significance because it helps ascertain the existence of several sub-regions within the two broader domains of the WSG and the ALG. In addition, large interannual variations in phytoplankton biomass and PP were observed in the sub-arctic Pacific following the onset of the El-Nino event of 1997 and the transition to La-Nina conditions in 1999. These variations were largely the result of differences in meteorological and oceanographic conditions across the sub-arctic Pacific following the development of the El-Nino.
机译:本研究记录了多种传感器卫星调查的结果,旨在比较西部和东部北极太平洋地区浮游植物生物量和初级生产率(PP)的季节性和际变化。来自多传感器的远程感测数据,包括海洋颜色(OCTS和SEAWS),海面温度(SST,AVHRR),风(SSM / I)和光合上可用的辐射(PAR,SeaWIFS)数据集用于本研究的目的。使用VGPM型号(Behrenfeld和Falkowski,1997)来进行初级生产率的计算,以及使用SST和CHL-A数据的海面硝酸盐(GES等,1999,2000)。卫星数据有助于辨别出多种特征,最重要的是在冬季供应硝酸盐的重要东西梯度,在浮游植物的硝酸盐消耗和浮游植物的生产和生物量积累的生长季节。在西部北极地区,许多这些特征似乎受到海面风的强度通过增加的铁和硝酸盐投入来调节。从亚北极太平洋跨越不同水文制度的12个箱子中提取的数据的多元回归分析表明,亚北极太平洋中PP的65%以上可以仅仅基于海洋强度的变化来解释表面风和事件辐照度强度(PAR)。由于表面风对东部的影响降低,PP对海底风应力的依赖性比在阿拉斯加·古氏(ALG)朝向东方的影响。尽管后者在PP率较高,但在WSG中,Phytoplank Biomass的春季积累比在AL中更大。本研究假设特别重要,因为它有助于确定WSG和ALG的两个更广泛域内的几个子区域的存在。此外,在1997年EL-NINO事件的开始之后,在亚北极太平洋中观察到浮游植物生物量和PP的较大持续变化,并于1999年向La-Nina病症转换。这些变化在很大程度上是差异的结果EL-NINO开发后,北极太平洋的气象和海洋环境。

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