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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Unravelling region-specific environmental drivers of phytoplankton across a complex marine domain (off SW Iberia)
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Unravelling region-specific environmental drivers of phytoplankton across a complex marine domain (off SW Iberia)

机译:在复杂的海洋领域(off sw伊比利亚)的浮游植物的特定区域特定环境驱动因素

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AbstractPhytoplankton, the dominant marine primary producers, are considered to be highly sensitive indicators of ecosystem condition and change. The southwest area off the Iberian Peninsula (SWIP, NE Atlantic) is located in a biogeographical transition zone between temperate and subtropical waters, and classified as being very vulnerable to climate change. SWIP includes a variety of oceanic and coastal domains, under the influence of topographic irregularities, coastal upwelling and continental freshwater outflows, that collectively challenge the understanding of phytoplankton dynamics and controls. This study aimed to evaluate patterns in seasonal and interannual variability in phytoplankton and underlying environmental determinants within specific regions of SWIP, during a 15-year period (1997–2012), and to assess whether climate variability affects the regions in different ways. Empirical Orthogonal Function (EOF) analysis of satellite-retrieved sea surface chlorophyll-a concentration (Chl-a), acquired from the Ocean Colour Climate Change Initiative (OC-CCI), 4-km, 16-day resolution, was used to regionalize the study area. Region-specific Chl-a variability patterns and their linkages with environmental determinants were explored using Generalized Additive Mixed Models (GAMM). A set of local physical-chemical variables, derived from satellite and model data, and large-scale climate indices, were used as environmental variables. EOF analysis of Chl-a variability over the heterogeneous SWIP area identified nine coherent regions, with distinctive variability patterns (4 coastals, 2 slopes and 3 open-ocean regions). Region-specific GAMM models explained between 32% and 82% of
机译:<![cdata [ 抽象 Phytoplankton,主要的海上主要生产商,被认为是生态系统状况和变化的高度敏感指标。伊比利亚半岛(Swip,Ne Atlantic)的西南地区位于温带和亚热带水域之间的生物地理转变区,并被归类为非常容易受气候变化的影响。越过包括各种海洋和沿海领域,在地形不规则的影响下,沿海上升和欧陆淡水的影响,集体挑战了对浮游植物动态和控制的理解。本研究旨在评估浮游植物的季节性和依赖性变异性,在15年期间(1997 - 2012年)中的特定区域内的特定区域内的潜在环境决定因素,并评估气候变异是否以不同的方式影响区域。从海洋气候变化促进(OC-CCI)获得的卫星检索的海面叶绿素 - 一种浓度(CHL-A)分析的经验正交函数(EOF)分析,用于区域化,4公里研究区。使用广义添加剂混合模型(GAMM)探讨了特异性CHL-A可变性模式及其与环境决定簇的联系。使用卫星和模型数据以及大规模气候指数的一组局部物理化学变量用作环境变量。 EOF分析CHL-A在异构扫描区域上的可变性确定了九个相干区域,具有独特的变异图案(4个沿海,2个斜坡和3个开阔海洋区域)。特定地区的GAMM模型在32%和82%之间解释

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