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首页> 外文期刊>Journal of plankton research >Seasonal and interannual coupling between sea surface temperature, phytoplankton and meroplankton in the subtropical south-western Atlantic Ocean
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Seasonal and interannual coupling between sea surface temperature, phytoplankton and meroplankton in the subtropical south-western Atlantic Ocean

机译:亚热带西南大西洋海表温度,浮游植物和浮游生物之间的季节和年际耦合

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摘要

Meroplankton abundance (Bivalve larvae, Cirripede larvae and other non-identified larvae), phytoplankton biomass and sea surface temperature (SST) from a 15-year time series (19952009) in the Cabo Frio region, south-western Atlantic Ocean, were analysed to assess temporal patterns of co-variation. Weekly zooplankton sampling included vertical hauls (~20m) with a 100 m net, taken in triplicate. All data were standardized to monthly within-year anomalies (n 180), monthly between-year anomalies (n 12) and annual anomalies (n 15). Monthly and annual anomalies were compared by means of cross-correlation analyses, and trends were estimated by linear regression in time series after removing serial dependence. The degree of coupling between phytoplankton and meroplankton was estimated from the analysis of their interannual changes during the seasonal maxima of these variables. The three variables displayed a strong seasonality, and there is evidence of coupling between phytoplankton biomass and meroplankton abundance, dominated by bivalves and cirripedes, during the austral spring (mostly September to November). Meroplankton abundance was positively correlated to SST and negatively to phytoplankton; the latter correlation suggested that a sudden supply of meroplankton larvae can contribute to controlling phytoplankton biomass during the upwelling season. In contrast, annual changes in SST and phytoplankton biomass fail to account for the interannual variation in larval supply.
机译:分析了西南大西洋卡波弗里奥地区15年时间序列(19952009)中浮游生物的丰度(双壳类幼虫,Cirripede幼虫和其他未鉴定的幼虫),浮游植物生物量和海面温度(SST),评估协变的时间模式。每周浮游动物采样包括垂直拖网(〜20m),净重100 m,一式三份。将所有数据标准化为年内异常(n 180),年间异常(n 12)和年异常(n 15)。通过互相关分析比较月度和年度异常,并在去除序列依赖性后通过时间序列的线性回归估计趋势。浮游植物和浮游生物之间的耦合程度是通过分析这些变量在季节最大值期间的年际变化来估计的。这三个变量表现出强烈的季节性,并且有证据表明在南方春季(主要是9月至11月),浮游植物生物量和浮游生物的丰度之间存在耦合关系,其中以双壳类和卷柏为主。浮游植物的丰度与SST呈正相关,与浮游植物呈负相关。后者的相关性表明,浮游动物幼体的突然供应可能有助于在上升季节控制浮游植物的生物量。相反,SST和浮游植物生物量的年度变化无法解释幼体供应的年际变化。

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