Modelling the plankton groups of the deep, peri-alpine Lake Bourget

Kerimoglu, Onur; Jacquet, Stéphan; Vinçon‐Leite, Brigitte; Lemaire, Bruno J.; Rimet, Frédéric; Soulignac, Frédéric; Trevisan, Dominique; Anneville, Orlane

doi:10.1016/j.ecolmodel.2017.06.005

Cited by 25 publications

(24 citation statements)

References 99 publications

(164 reference statements)

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“…Jacquet et al, 2014), Lake Bourget (e.g. Kerimoglu et al, 2017;Rivera et al, 2017) but also low-land lakes like lac du Der (North East France, Rolland et al, 2009) and other remote lakes (e.g. Martinet et al, 2014).…”

Section: Resultsmentioning

confidence: 99%

“…filamentous/coenobial/mucilaginous) which are also good indicators of microalgae nuisances. For instance, filamentous algae, like Mougeotia gracillima in lake Geneva, when blooming, clog professional fishermen nets and this reduce their fishing catch (Tapolczai et al, 2016), or can form toxic blooms like the cyanobacteria Planktothrix rubescens in lake Bourget (Kerimoglu et al, 2017). In the 2000s, rather precise notions of ecological niches of species appeared in the reports (e.g.…”

Section: Introductionmentioning

confidence: 99%

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A trait database for Phytoplankton of temperate lakes

Rimet

Druart

2018

Ann. Limnol. - Int. J. Lim.

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Phytoplankton is a choice ecological indicator of lake ecological quality. Microalgae composing this biological compartment display a large diversity of morphological, physiological and ecological features, which are useful for understanding the interactions they have with other biotic and abiotic elements. Such kind of information together with classical Utermöhl phytoplankton analyses are useful for lake management and basic science. We present here a reference database of morphological (cell and colony sizes, biovolumes, mobility apparatus, colony formation), functional (functional groups of Reynolds, Padisak and Kruk, zooplankton edibility groups), physiological (trophic capacities) and ecological traits (Brettum index values) of more than 1200 taxa often observed in temperate lakes. This database, maintained since the 70’s until nowadays by the authors of this paper is now realized open access in Zenodo (https://zenodo.org; DOI: 10.5281/zenodo.1164834) and also as supplementary material on the journal website. The paper presents an overview of its content.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A trait database for Phytoplankton of temperate lakes

Rimet

Druart

2018

Ann. Limnol. - Int. J. Lim.

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“…The plankton model was developed based on Kerimoglu et al (2017b) regarding the modularity concept that allows coupling plankton units in run time (see Bruggeman and Bolding, 2014), as well as description of internal variation of P quota of phytoplankton (B2,B4,B12) according to the Droop model (as in Morel, 1987). Here, we further considered the uptake NO3 455 and NH4 of phytoplankton (similar to Pätsch and Kühn, 2008), and the resulting variations of N quota (B3,B13); limitation of diatoms by Si (B11) using a Monod-type relationship (Flynn, 2003); dependence of the light limitation on the chlorophyll content, i.e., θ (B15), in phytoplankton (B9), and the dynamic variations of θ (B5,B16) following Geider et al (1997).…”

Section: B1 Planktonic Componentsmentioning

confidence: 99%

“…As in Kerimoglu et al (2017b), assimilated and un-assimilated fractions of the ingested prey by each zooplankton j are determined by the assimilation efficiency X j (B23),B24), which is continuously adjusted (as in Grover, 2002), such that the zooplankton can maintain their homeostatic elemental composition. Here this scheme was extended to multiple nutrients, i.e., N and P, and X are calculated iteratively, similar to that in (Kerimoglu et al, 2018).…”

Section: B1 Planktonic Componentsmentioning

confidence: 99%

Interactive impacts of meteorological and hydrological conditions on the physical and biogeochemical structure of a coastal system

Kerimoglu¹,

Voynova²,

Chegini³

et al. 2020

Preprint

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Abstract. The German Bight was exposed to record high riverine discharges in June 2013, as a result of flooding of the Elbe and Weser rivers. Several anomalous observations suggested that the hydrodynamical and the biogeochemical state of the system was impacted by this event. In this study, we developed a biogeochemical model and coupled it with a previously introduced high resolution hydrodynamical model of the southern North Sea, in order to better characterize these impacts, and gain insight into the underlying processes. Performance of the model was assessed using an extensive set of in-situ measurements for the period 2011&#8211;2014. We first improved the realism of the hydrodynamic model with regard to the representation of cross-shore gradients, mainly through inclusion of flow-dependent horizontal mixing. Among other characteristic features of the system, the coupled model system can reproduce the low salinities, high nutrient concentrations and low oxygen concentrations in the bottom layers observed within the German Bight following the flood event. Through a scenario analysis, we examined the sensitivity of the patterns observed during July 2013 to the hydrological and meteorological forcing in isolation. Within the region of freshwater influence (ROFI) of the Elbe-Weser rivers, the flood event clearly dominated the changes in salinity and nutrient concentrations, as expected. However, our findings point out to the relevance of the peculiarities in the meteorological conditions in 2013 as well: a combination of low wind speeds, warm air temperatures and cold bottom water temperatures resulted in a strong thermal stratification in the outer regions, and limited vertical nutrient transport to the surface layers. Within the central region, the thermal and haline dynamics interactively resulted in an intense density stratification. This intense stratification, in turn, led to enhanced primary production within the central region enriched by nutrients due to the flood, but reduction within the nutrient-limited outer region, and it caused a wide-spread oxygen depletion in bottom waters. Our results further point to the enhancement of the current velocities at the surface as a result of haline stratification, and intensification of the thermohaline estuarine-like circulation at the Wadden Sea, both driven by the flood event.

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“…algae growth, sedimentation, mineralization, etc.) in lakes [27,28]. The statistical models are relatively more accessible and more rapid for operational short-term applications.…”

Section: Future Outlooks Of the High-frequency Monitoring Systemmentioning

confidence: 99%

An Automatic Monitoring System for High-Frequency Measuring and Real-Time Management of Cyanobacterial Blooms in Urban Water Bodies

et al. 2018

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Urban lakes mitigate the negative impacts on the hydrological cycle and improve the quality of life in cities. Worldwide, the concern increases for the protection and management of urban water bodies. Since the physical-chemical and biological conditions of a small aquatic ecosystem can vary rapidly over time, traditional low frequency measurement approaches (weekly or monthly sampling) limits the knowledge and the transfer of research outcomes to management decision-making. In this context, this paper presents an automatic monitoring system including a full-scale experimental site and a data transfer platform for high-frequency observations (every 5 min) in a small and shallow urban lake (Lake Champs-sur-Marne, Paris, France, 10.3 ha). Lake stratification and mixing periods can be clearly observed, these periods are compared with the dynamic patterns of chlorophyll-a, phycocyanin, dissolved oxygen and pH. The results indicate that the phytoplankton growth corresponds with dissolved oxygen cycles. However, thermal stratification cannot totally explain the entire dynamic patterns of different physical-chemical and ecological variables. Besides, the cyanobacteria is one of the dominating groups of phytoplankton blooms during the lake stratification periods (8 August-29 September 2016). During the cooling mixed period (29 September-19 October 2016), the high concentration of chlorophyll-a is mainly caused by the other phytoplankton species, such as diatoms. Perspectives are discussed in order to apply this observation system for real-time management of water bodies and lakes.

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Modelling the plankton groups of the deep, peri-alpine Lake Bourget

Cited by 25 publications

References 99 publications

A trait database for Phytoplankton of temperate lakes

A trait database for Phytoplankton of temperate lakes

Interactive impacts of meteorological and hydrological conditions on the physical and biogeochemical structure of a coastal system

An Automatic Monitoring System for High-Frequency Measuring and Real-Time Management of Cyanobacterial Blooms in Urban Water Bodies

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