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Diversité des communautés phytoplanctoniques en relation avec les facteurs environnementaux en mer d'Iroise : approche par la modélisation 3D

机译:翡翠海浮游植物群落的多样性与环境因素的关系:3D建模方法

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摘要

Phytoplankton diversity depends on physical, chemical and biological local conditions. Moreover, physical transport could also impact the distribution of autotrophic organisms/species within phytoplankton communities. Therefore, phytoplanktonic assemblages exhibit significant spatial (bioregionalization) and temporal (successions) variability in terms of species diversity as well as productivity. Coastal regions are particularly contrasted area with sharp environmental gradients underlying strong heterogeneity in phytoplankton communities' composition. In this context, the Iroise Sea presents a seasonal, highly productive, tidal front, which separates two distinctregimes. Eastside, continental shelf waters are regularly mixed by tidal currents while offshore waters remain stratified throughout the whole summer period.Thus, the Iroise Sea may be an opportune region to study the processes linking the frontal structure dynamic and its impact on phytoplanktonic diversity.This thesis aims, more specifically, at characterizing phytoplankton communities in the Iroise Sea interms of both functional and phenotypic diversity over a seasonal cycle in general and during the summer at the frontal interface in particular. This work is based on a 3D numerical modeling approach using a physical/biogeochemical coupled model. As a first part of this thesis, the implementation of a regional configuration for the Iroise Sea has been conducted, including the technical coupling between the hydrodynamical model (ROMS-AGRIF) and the phytoplankton diversity model (DARWIN). This work was the first necessary step to simulate and study the Iroise sea phytoplanktonic diversity.Our results show a pronounced seasonal cycle of the phytoplankton functional composition, driven by the surface mixed layer depth that influenced light and nutrients' availabilty. Indeed, during winter, the biomass is dominated by picoplankton in the Iroise Sea. Then, as water column becomes stratified offshore, in April, a characteristic phytoplankton bloom occurs with a larger contribution of microphytoplancton (mainly diatoms). During summer, the nutrient-replete coastal well-mixed area remains highly productive and dominated by diatoms while surface stratified offshore waters (where phytoplankton growth is nutrient-limited) show higher coexistence between phytoplankton functional types.We also examined the phytoplankton phenotypic diversity simulated within the frontal region in relation with the surrounding areas in September (summer conditions). The results highlight a diversity maximum located at the surface slightly westward from the biomass maximum of the front. This diversity maximum is suggested to be the result of the upward transport of typical phenotypes from the offshore Deep Chlorophyll Maximum (DCM) toward the Surface at the west warm side of the front. Indeed, picoplanktonic phenotypes growing in the DCM coexist, in this diversity maximum, with those from the surface oligotrophic waters and ubiquitous ones growing in the eastside mixed coastal waters.Finally, the effect of tidal spring/neap tide cycle has been investigated and shows, for the first time, how this cycle impacts the phytoplankton biomass and the phenotypic community composition within the coastal well-mixed, homogeneous system. Indeed, the neap-tide conditions of reduced vertical mixing and stabilization lead to an increase in total phytoplankton biomass associated with the rapid development of fast-growing, opportunistic, diatoms species and a decrease in phenotypic diversity.
机译:浮游植物的多样性取决于物理,化学和生物的当地条件。此外,物理运输还可能影响自养生物/物种在浮游植物群落中的分布。因此,浮游植物组合在物种多样性和生产力方面表现出显着的空间(生物区域化)和时间(成功)变异。沿海地区是特别相反的区域,其浮游植物群落组成中强烈异质性的环境梯度陡峭。在这种情况下,艾洛瓦海(Iroise Sea)呈现出季节性,高产的潮汐锋线,将两个截然不同的地区分开。在东部,大陆架水域经常被潮汐流混合,而整个夏季整个期间的离岸水域仍保持分层状态。因此,艾洛瓦海可能是研究额叶结构动态及其对浮游植物多样性影响的过程的合适区域。目的更具体地,目的在于表征整个春季周期中,特别是夏季在额叶界面中功能性和表型多样性方面的艾洛瓦海浮游植物群落。这项工作基于使用物理/生物地球化学耦合模型的3D数值建模方法。作为本论文的第一部分,对鸢尾海进行了区域配置,包括水动力模型(ROMS-AGRIF)和浮游植物多样性模型(DARWIN)之间的技术耦合。这项工作是模拟和研究鸢尾海浮游植物多样性的第一步,我们的结果表明,浮游植物功能组成的明显季节性周期是由影响光和养分利用率的表面混合层深度驱动的。确实,在冬季,艾洛瓦海中的浮游生物主导了生物质。然后,随着水柱在近海分层,4月出现了特征性浮游植物水华,其中微浮游植物(主要是硅藻)的贡献更大。在夏季,营养丰富的沿海充分混合区仍然保持高产并以硅藻为主,而表面分层的近海(浮游植物生长受到营养限制)在这两个浮游植物功能类型之间存在更高的共存性。与9月周边地区有关的额叶地区(夏季情况)。结果突出显示了位于表面的生物多样性最大值,该多样性最大值比前部的生物量最大值稍向西。该多样性最大值被认为是典型表型从近海深部叶绿素最大值(DCM)朝着正面西暖侧的地表向上运输的结果。的确,在DCM中生长的微浮游表型以最大的多样性共存,与表层贫营养水域和泛滥的表型共存于东部沿海混合水域。最后,研究了潮汐春潮/潮汐周期的影响,并表明,这是第一次,这种循环如何影响沿海充分混合的均匀系统内的浮游植物生物量和表型群落组成。的确,减少垂直混合和稳定的潮汐条件导致浮游植物总生物量增加,这与快速生长的机会硅藻物种的快速发展和表型多样性的降低有关。

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    Cadier Mathilde;

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  • 年度 2016
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