Spatial distribution of phytoplankton cells in small elongated lakes subject to weak diurnal wind forcing

Vidal, Javier; Rigosi, Anna; Hoyer, Andrea B.; Escot, C.; Rueda, Francisco J.

doi:10.1007/s00027-013-0316-5

Cited by 18 publications

(14 citation statements)

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“…Although it is now accepted that high vertical modes are often excited, observations of such modes were sparse until the end of the 20th century (Heaps, 1961;LaZerte, 1980;Csanady, 1982;Hutter et al, 1983). Currently, the importance of internal wave fields in redistributing wind energy within lakes is well known (Wüest et al, 2000;Stocker and Imberger, 2003;Shimizu and Imberger, 2008) and different authors have focused on its impact on mixing (Stevens, 1999;Planella et al, 2011;Bernhardt and Kirillin, 2013), sediment resuspension (Bogucki and Redekopp, 2008) and sediment and phytoplankton transportation (Ji and Jin, 2006;Rolland et al, 2013;Vidal et al, 2014). While studies of internal waves in small and large lakes are now quite common, for most of them, the characteristic internal seiche field has not been described in detail.…”

Section: Introductionmentioning

confidence: 99%

The internal seiche field in the changing South Aral Sea (2006–2013)

Roget

Khimchenko

Forcat

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. Internal standing waves (seiches) in the South Aral Sea are studied for the first time. The study, based on numerical simulations and field data, focuses on two different campaigns: the first in autumn 2006, when the stratification was weak and there was a mild prevailing northeasterly wind, and the second in autumn 2013, when the stratification was strong and there was a mild easterly wind. Between these two campaigns, the sea surface level decreased by 3.2 m. The periods of the fundamental modes were identified as 36 and 14 h, respectively. In both years, either second or third vertical modes were found. In general, the vertical modes in 2013 were higher because of the broad and strong pycnocline. For both years, it was found that the deep quasi-homogeneous mixed upper layer could sustain internal waves under mild wind conditions. The observed first and second vertical modes in 2006 are the first and second horizontal modes and the second and third vertical modes in 2013 are the second and third horizontal modes. The results suggest that, due to sea level variations, the neck connecting the Chernyshev Bay to the main body of the lake can become a critical location for the development of a nodal line for all principal oscillation modes. Rotation effects on waves were not analyzed in this study.

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Section: Introductionmentioning

confidence: 99%

The internal seiche field in the changing South Aral Sea (2006–2013)

Roget

Khimchenko

Forcat

et al. 2017

Hydrol. Earth Syst. Sci.

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“…In small lakes, 3D hydrodynamic modelling has been performed to investigate the fate and transport of buoyant storm-river water and the implications of plume mixing dynamics on lake ecological functioning [56]. Other recent studies have investigated the effects of ice layers on small lake hydrodynamics and thermal structure [50], and the effect of wind-driven circulation on phytoplankton distribution [68]. However, the 3D modelling of small upland lakes remains uncommon, probably because 1D models are considered adequate to resolve the evolution of lake thermal structure at seasonal and longer timescales [19].…”

Section: Introductionmentioning

confidence: 99%

Implementation of a 3D ocean model to understand upland lake wind-driven circulation

2017

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A community numerical ocean model is used to extend the understanding of winddriven circulation in small upland lakes. A 3D model of a case study lake (Llyn Conwy, Wales, UK) is calibrated against measured velocity profiles via adjustment of the bottom roughness coefficient. Validation against a separate set of measured velocity profiles confirms the ability of the model to resolve key features of the flow field. Sensitivity analysis shows that the velocity field responds rapidly to changes in the wind forcing. Analysis of the gross circulation using Empirical Orthogonal Functions reveals a persistent two-gyre circulation pattern in the upper half layer of the water column driven by the interaction of wind and bathymetry. At the bottom, the flow is characterised by locally strong currents and analysis of vertical circulation over short time scales shows strong currents in the deepest parts of the lake basin and the responsiveness of the water column to changes in wind speed and direction. Even in small lakes, the assumption of uniform wind stress across the water surface is not always justified and topographic sheltering or other catchment roughness effects give rise to heterogeneity in the wind field. An idealized experiment for the case study lake shows that differences in circulation emerge if the wind stress is allowed to vary across the lake. Energetic wind forcing in upland areas can drive an energetic lake circulation that has important implications for mixing and sediment dynamics. 3D numerical modelling of winddriven circulation should be more widely used to provide insights into physical limnology to support a wide range of ecological, biogeochemical and palaeoenvironmental studies.

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“…Wind plays an important role in the distribution of phytoplankton by mixing the surface layer (Cyr, 2017;Liu et al, 2012;Monismith and MacIntyre, 2009).The strength and effect of these shear forces depends on the wind speed (Boegman, 2009;Cyr, 2017;Kim et al, 2014). The patchiness of phytoplankton in lakes and reservoirs disappears at wind speeds above 3-4 m s -1 (Hunter et al, 2008;Vidal et al, 2014). During this study, the maximum wind speed reached 12.3 m s -1 , but the mean wind speed was only 1.1 m s -1 , with the main wind direction from the south-southwest (Fig.…”

Section: Discussionmentioning

confidence: 99%

“…The dynamics and maximal biomass of phytoplankton are driven by a wide range of factors including abiotic factors such as hydrological conditions and biotic variables like the presence of lter-feeders (Havens et al, 2017;Kuo and Wu, 2016). As a result, the distribution of phytoplankton is site-speci c and notoriously patchy and dynamic (Cyr, 2017).Distribution is often disturbed by factors such as precipitation or wind over short-term scales (Serra et al, 2007;Vidal et al, 2014;Yang et al, 2017). Understanding the ecological consequences of phytoplankton community and distribution change in the water column caused by different variables acting on spatial and temporal scales is a challenge for controlling ecosystem productivity (Serra et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Precipitation mediate the distribution of phytoplankton communities in a tributary of Three Gorges Reservoir

Peng

2021

Preprint

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Precipitation is a driver of changes in spatiotemporal distribution of phytoplankton communities. The ecological consequences of precipitation is importance but the underlying processes are not clear. Here we conducted an immediate prior- and after-event short-interval investigation in the Three Gorges Reservoir region, to test whether the short-term changes in the phytoplankton communities and functional groups could be predicted based on the precipitation level. We found that precipitation of moderate and high levels immediately changed the phytoplankton distribution and altered functional groups. According to structural equation model, the vertical velocity (λ = -0.81), Zeu/Zmix (λ = 0.47) and RWCS (λ = 0.38) were important parameters for phytoplankton distribution during the precipitation event. Water quality was not directly affected phytoplankton distribution (λ = -0.11) and effects of precipitation on the water quality only lasted 1–2 days. Phytoplankton community was redistributed with some tolerance functional groups appearance, such as group F, Lo, M and groups M, MP, TB, W1 appeared during- and after- precipitation event, respectively. We also found that the mixing rather than flushing was the driving force for the decrease of phytoplankton biomass. Our study provided valuable data for reservoir regulation and evidence for predictions of phytoplankton during the precipitation events under different climate change scenarios.

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Spatial distribution of phytoplankton cells in small elongated lakes subject to weak diurnal wind forcing

Cited by 18 publications

References 50 publications

The internal seiche field in the changing South Aral Sea (2006–2013)

The internal seiche field in the changing South Aral Sea (2006–2013)

Implementation of a 3D ocean model to understand upland lake wind-driven circulation

Precipitation mediate the distribution of phytoplankton communities in a tributary of Three Gorges Reservoir

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