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Analysis of Chlorophyll-a and Primary Production Dynamics in North Tyrrhenian and Ligurian Coastal-Neritic and Oceanic Waters

机译:北第勒尼安河和利古里亚沿海-尼特海和海洋水域叶绿素-a和初级生产动态的分析

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Properly tuned algorithms based on optical remote sensing data can provide estimates of chlorophyll-a (as a proxy for phytoplankton biomass) concentration in near real time, allowing the monitoring of phytoplankton dynamics for both neritic and oceanic areas. The main objective of this study was, through the use of ocean color satellite images, to offer a description of the interannual variability of chlorophyll-a and primary production both in coastal-neritic and in oceanic areas of the North Tyrrhenian and Ligurian Seas (NW Mediterranean). The second objective was to highlight the possible influence of land runoff on phytoplankton biomass variability in coastal-neritic waters. The results indicate that seasonal cycles of phytoplankton biomass and production were quite different in neritic areas potentially affected by freshwater runoff compared to offshore waters. Neritic areas are characterized by an anticipated bloom (winter-spring) and by higher spatial variability that appears to be linked with the distance from shore. Meanwhile, oceanic areas are dominated by a marked seasonal cycle and the typical bloom occurs in spring (March-April) in relation with vertical mixing. Finally, linear regression analysis suggests the influence of freshwater runoff in modulating the variability of chlorophyll-a in coastal-neritic areas. Overall, the results confirm previous observations on the dynamics of phytoplankton biomass and contribute to more realistic and lower estimates of both chlorophyll-a concentration and annual primary production.
机译:基于光学遥感数据进行适当调整的算法可以近实时地提供叶绿素a(作为浮游植物生物量的替代指标)浓度的估计值,从而可以监测海域和大洋地区的浮游植物动态。这项研究的主要目的是通过使用海洋彩色卫星图像,来描述北第勒尼安海和利古里亚海(NW)的沿海有色和海洋区域的叶绿素a和初级生产的年际变化。地中海)。第二个目标是强调沿海径流水域土地径流对浮游植物生物量变异性的可能影响。结果表明,与近岸水域相比,在可能受到淡水径流影响的脆弱地区,浮游植物生物量和生产的季节性周期差异很大。神经质区域的特征是预期的开花(冬春季)和较高的空间变异性,似乎与离海岸的距离有关。同时,海洋区域以明显的季节周期为主,春季(三月至四月)与垂直混合有关,典型的开花发生在春季。最后,线性回归分析表明,淡水径流对调节沿海紧张地区叶绿素-a的变异性有影响。总体而言,这些结果证实了先前对浮游植物生物量动态的观察,并有助于对叶绿素a浓度和年初级产量的更现实和更低的估计。

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