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Phytoplankton class-specific primary production in the world's oceans: Seasonal and interannual variability from satellite observations

机译:世界海洋中特定于浮游植物的初级生产:卫星观测的季节性和年际变化

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We apply an innovative approach to time series data of surface chlorophyll from satellite observations with SeaWiFS (Sea-viewing Wide Field-of-view Sensor) to estimate the primary production associated with three major phytoplankton classes (micro-, nano-, and picophytoplankton) within the world's oceans. Statistical relationships, determined from an extensive in situ database of phytoplankton pigments, are used to infer class-specific vertical profiles of chlorophyll a concentration from satellite-derived surface chlorophyll a. This information is combined with a primary production model and class-specific photophysiological parameters to compute global seasonal fields of class-specific primary production over a 10-year period from January 1998 through December 2007. Microphytoplankton (mostly diatoms) appear as a major contributor to total primary production in coastal upwelling systems (70%) and temperate and subpolar regions (50%) during the spring-summer season. The contribution of picophytoplankton (e.g., prokaryotes) reaches maximum values (45%) in subtropical oligotrophic gyres. Nanophytoplankton (e.g., prymnesiophytes) provide a ubiquitous, substantial contribution (30-60%). Annual global estimates of class-specific primary production amount to 15 Gt C yr ~(-1) (32% of total), 20 Gt C yr~(-1) (44%) and 11 Gt C yr ~(-1) (24%) for micro-, nano-, and picophytoplankton, respectively. The analysis of interannual variations revealed large anomalies in class-specific primary production as compared to the 10-year mean cycle in both the productive North Atlantic basin and the more stable equatorial Pacific upwelling. Microphytoplankton show the largest range of variability of the three phytoplankton classes on seasonal and interannual time scales. Our results contribute to an understanding and quantification of carbon cycle in the ocean.
机译:我们采用一种创新的方法,通过使用SeaWiFS(海景宽视场传感器)进行的卫星观测,对表面叶绿素的时间序列数据进行了估算,以估算与三种主要浮游植物类别(微浮游植物,微浮游植物和微浮游植物)相关的主要产量在世界海洋中。从大量的浮游植物色素原位数据库中确定的统计关系可用于从卫星衍生的表面叶绿素a推断叶绿素a浓度的类特定垂直剖面。该信息与主要生产模型和特定类别的光生理参数相结合,以计算从1998年1月到2007年12月的10年期间特定类别主要生产的全球季节性变化。浮游植物(主要是硅藻)是导致这些疾病的主要因素春季和夏季,沿海上升流系统(70%)以及温带和亚极地区(50%)的总初级产量。在亚热带贫营养型回旋中,浮游植物(例如原核生物)的贡献达到最大值(45%)。纳米浮游植物(例如浮游植物)提供了普遍的,实质性的贡献(30-60%)。年度全球特定类别初级生产的估计为15 Gt C yr〜(-1)(占总产量的32%),20 Gt C yr〜(-1)(44%)和11 Gt C yr〜(-1) (24%)分别是微型浮游生物,纳米浮游生物和微浮游生物。对年际变化的分析表明,与生产力较高的北大西洋盆地和更稳定的赤道太平洋上升流的10年平均周期相比,特定类别的初级生产存在较大的异常。浮游植物在季节和年际时间尺度上显示出三种浮游植物类别的最大变化范围。我们的结果有助于理解和量化海洋中的碳循环。

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