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Estimating global chlorophyll changes over the past century

机译:估算过去一个世纪的全球叶绿素变化

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Marine phytoplankton account for approximately half of the production of organic matter on earth, support virtually all marine ecosystems, constrain fisheries yields, and influence climate and weather. Despite this importance, long-term trajectories of phytoplankton abundance or biomass are difficult to estimate, and the extent of changes is unresolved. Here, we use a new, publicly-available database of historical shipboard oceanographic measurements to estimate long-term changes in chlorophyll concentration (Chi; a widely used proxy for phytoplankton biomass) from 1890 to 2010. This work builds upon an earlier analysis (Boyce et al., 2010) by taking published criticisms into account, and by using recalibrated data, and novel analysis methods. Rates of long-term chlorophyll change were estimated using generalized additive models within a multi-model inference framework, and post hoc sensitivity analyses were undertaken to test the robustness of results. Our analysis revealed statistically significant Chi declines over 62% of the global ocean surface area where data were present, and in 8 of 11 large ocean regions. While Chi increases have occurred in many locations, weighted syntheses of local- and regional-scale estimates confirmed that average chlorophyll concentrations have declined across the majority of the global ocean area over the past century. Sensitivity analyses indicate that these changes do not arise from any bias between data types, nor do they depend upon the method of spatial or temporal aggregation, nor the use of a particular statistical model. The wider consequences of this long-term decline of marine phytoplankton are presently unresolved, but will need to be considered in future studies of marine ecosystem structure, geochemical cycling, and fishery yields.
机译:海洋浮游植物约占地球有机物产量的一半,几乎支持所有海洋生态系统,限制了渔业产量,并影响了气候和天气。尽管具有这种重要性,但很难估计浮游植物丰度或生物量的长期轨迹,而且变化的程度尚未解决。在这里,我们使用了一个新的,可公开获得的历史船上海洋学测量数据库,以估算1890年至2010年期间叶绿素浓度(Chi;浮游植物生物量的广泛使用的代名词)的长期变化。这项工作建立在早期分析(Boyce)的基础上等人,2010年),考虑到已发表的批评意见,并使用重新校准的数据和新颖的分析方法。在多模型推断框架内,使用广义加性模型估算长期叶绿素变化的速率,并进行事后敏感性分析以检验结果的稳健性。我们的分析显示,在11个大洋区域中的8个大洋中,有数据表明,在全球有数据的全球海洋表面积中,Chi下降了62%以上。尽管许多地方的Chi值都有所增加,但地方和区域尺度估计值的加权综合证实了过去一个世纪以来全球大部分海洋区域的平均叶绿素浓度已经下降。敏感性分析表明,这些更改不是由数据类型之间的任何偏差引起的,它们也不取决于空间或时间聚集的方法,也不取决于特定统计模型的使用。这种海洋浮游植物长期下降的广泛后果目前尚未解决,但在今后对海洋生态系统结构,地球化学循环和渔业产量的研究中需要考虑。

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  • 来源
    《Progress in Oceanography》 |2014年第3期|163-173|共11页
  • 作者单位

    Department of Biology, Dalhousie University, Halifax, NS B3H 4J1, Canada,Department of Biology, Queen's University, Kingston, ON K7L 3N6, Canada,Ocean Sciences Division, Bedford Institute of Oceanography, PO Box 1006, Dartmouth, NS B2Y 4A2, Canada;

    Department of Mathematics and Statistics, Dalhousie University, Halifax, NS B3H 4J1, Canada;

    Department of Oceanography, Dalhousie University, Halifax, NS B3H 4R2, Canada;

    Department of Biology, Dalhousie University, Halifax, NS B3H 4J1, Canada;

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