Environmental factors associated with phytoplankton succession in a Mediterranean reservoir with a highly fluctuating water level

Fadel, Ali; Atoui, Ali; Lemaire, Bruno J.; Vinçon‐Leite, Brigitte; Slim, Kamal

doi:10.1007/s10661-015-4852-4

Cited by 49 publications

(18 citation statements)

References 48 publications

(45 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Monitoring of water temperature was mainly performed on a single point S D near the dam in 2016. 33 With no measurements available on a spatial scale (except for 2017) and given the effect of water temperature on its biota distribution, 34 synoptic estimations of water surface temperature are valuable for this ecosystem.…”

Section: Study Sitementioning

confidence: 99%

Lake surface temperature retrieval from Landsat-8 and retrospective analysis in Karaoun Reservoir, Lebanon

Sharaf

Fadel

Bresciani

et al. 2019

J. Appl. Rem. Sens.

Self Cite

View full text Add to dashboard Cite

The importance of lake water surface temperature has long been highlighted for ecological and hydrological studies as well as for water quality management. In the absence of regular field observations, satellite remote sensing has been recognized as a cost-effective way to monitor water surface temperature on large spatial and temporal scales. The thermal infrared sensors (TIRS) onboard of Landsat satellites (since 1984) are adequate tools for monitoring surface temperature of small to medium sized lakes with a biweekly frequency, as well as for performing retrospective analysis. Nonetheless, the satellite data have to deal with effects due to the atmosphere so that several approaches to correct for atmospheric contributions have been proposed. Among these are: (i) the radiative transfer equation (RTE); (ii) a single-channel algorithm that depends on water vapor content and emissivity (SC1); (iii) its improved version including air temperature (SC2); and (iv) a monowindow (MW) algorithm that requires emissivity, atmospheric transmissivity, and effective mean atmospheric temperature. We aim to evaluate these four approaches in a river dammed reservoir with a size of 12 km 2 using data gathered from the band 10 of the TIRS onboard of Landsat 8. Satellite-derived temperatures were then compared to in situ data acquired from thermistors at the time of Landsat 8 overpasses. All approaches showed a good performance, with the SC1 algorithm yielding the lowest root mean square error (0.73 K), followed by the SC2 method (0.89 K), the RTE (0.94 K), and then the MW algorithm (1.23 K). Based on the validation results, we then applied the SC1 algorithm to Landsat 4, 5, and 8 thermal data (1984 to 2018) to extend data series to past years. These data do not reveal any warming trend of the reservoir surface temperature. The results of this study also confirm how the 100-m spatial resolution of TIRS is valuable as an additional source of data to field-based monitoring.

show abstract

Section: Study Sitementioning

confidence: 99%

Lake surface temperature retrieval from Landsat-8 and retrospective analysis in Karaoun Reservoir, Lebanon

Sharaf

Fadel

Bresciani

et al. 2019

J. Appl. Rem. Sens.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Table 1 presents its morphometric and hydrologic characteristics. The 25 m average annual water level variation makes the reservoir an interesting study case in a poorly studied region (Fadel et al, 2015). There are about one million inhabitants as well as 570 km 2 of cultivated farmland and several industries in the catchment of Karaoun Reservoir.…”

Section: Study Sitementioning

confidence: 99%

On the successful use of a simplified model to simulate the succession of toxic cyanobacteria in a hypereutrophic reservoir with a highly fluctuating water level

Fadel

Lemaire

Vinçon‐Leite

et al. 2017

Environ Sci Pollut Res

Self Cite

View full text Add to dashboard Cite

Slim, et al.. On the successful use of a simplified model to simulate the succession of toxic cyanobacteria in a hypereutrophic reservoir with a highly fluctuating water level. Environmental Science and Pollution Research, Springer Verlag, 2017, 24 (26), pp.20934-20948. 10.1007/s11356-017-9723-9. hal-01592944 1 This article was published as: Ali Fadel, Bruno Lemaire, Brigitte Vinçon-Leite, Ali Atoui, Kamal Slim, et al. (2017). On the successful use of a simplified model to simulate the succession of toxic cyanobacteria in a hypereutrophic reservoir with a highly fluctuating water level. Environmental Science and Pollution Research, 24 (26), pp.20934 -20948. DOI : 10.1007/s11356-017-9723-9 On the successful use of a simplified model to simulate the succession of toxic cyanobacteria in a hypereutrophic reservoir with a highly fluctuating water level AbstractMany freshwater bodies worldwide that suffer from harmful algal blooms would benefit for their management from a simple ecological model that requires few field data, e.g., for early warning systems. Beyond a certain degree, adding processes to ecological models can reduce model predictive capabilities. In this work, we assess whether a simple ecological model without nutrients is able to describe the succession of cyanobacterial blooms of different species in a hypereutrophic reservoir and help understand the factors that determine these blooms. In our study site, Karaoun Reservoir, Lebanon, cyanobacteria Aphanizomenon ovalisporum and Microcystis aeruginosa alternatively bloom. A simple configuration of the model Dyresm-Caedym was used: both cyanobacteria were simulated, with constant vertical migration velocity for Aphanizomenon ovalisporum, with vertical migration velocity dependent on light for Microcystis aeruginosa and with growth limited by light and temperature and not by nutrients for both species. The model was calibrated on two successive years with contrasted bloom patterns and high variations in water level. It was able to reproduce the measurements: it showed a good performance for the water level (root mean square error (RMSE) lower than 1 m, annual variation of 25 m), water temperature profiles (RMSE of 0.22 -1.41 °C, range 13-28 °C) and cyanobacteria biomass (RMSE of 1 -57 µg Chl a L -1 , range 0-206 µg Chl a L -1 ). The model also helped understand the succession of blooms in both years. The model results suggest that the higher growth rate of Microcystis aeruginosa during favourable temperature and light conditions allowed it to outgrow Aphanizomenon ovalisporum. Our results show that simple model configurations not only can be sufficient for theoretical works when few major processes can be identified, but also for operational applications. This approach could be transposed on other hypereutrophic lakes and reservoirs to describe the competition between dominant phytoplankton species, contribute to early warning systems or be used for management scenarios.

show abstract

“…The reservoir was constructed between 1958 and 1965 on the Litani River (170 km length) for power production and irrigation. The river inflow occurs mainly in the wet season, from October to April, while the withdrawals are much more regular in the year, which causes a large water level variation in the year, and can reach up to 30 m (Fadel et al, 2015). No spatial measurements of chlorophyll-a or remote sensing studies on the water quality were conducted before on this reservoir.…”

Section: Study Sitementioning

confidence: 99%

“…This signifies that the use of a single station to monitor in situ chlorophyll-a at Karaoun reservoir is not sufficient in some bloom events as it may overestimate or underestimate chlorophyll-a concentrations when compared to chlorophyll-a averaged over the reservoir area. Based on previous studies on Karaoun Reservoir (Slim et al 2014;Fadel et al 2015), it is thought that low or no precipitation between May and October, in combination with decrease in water-level, thermal stratification, high nutrient concentrations, and cyanotoxin production results in a low biodiversity of the phytoplankton community in Karaoun reservoir. Turbidity measured during 10 July and 11 August 2015 ranged between 10 and 176 NTU.…”

Section: Main Identified Species and In-situ Chlorophyll-amentioning

confidence: 99%

Assessment of The trophic state and Chlorophyll-a concentrations using Landsat OLI in Karaoun reservoir, Lebanon

Fadel¹,

Faour²,

Slim³

2016

LSJ

Self Cite

View full text Add to dashboard Cite

Harmful algal blooms have become a worldwide environmental problem. A regular and cost-effective monitoring of these blooms is highly needed by lakes managers. Satellite remote sensing imagery like Landsat Operational Land Imager (OLI) can be used to assess and monitor chlorophyll-a in water bodies over large areas in a cost-effective way. In this study, the accuracy of Landsat OLI to estimate chlorophyll-a was examined. Four field campaigns and cloud free images

show abstract

Environmental factors associated with phytoplankton succession in a Mediterranean reservoir with a highly fluctuating water level

Cited by 49 publications

References 48 publications

Lake surface temperature retrieval from Landsat-8 and retrospective analysis in Karaoun Reservoir, Lebanon

Lake surface temperature retrieval from Landsat-8 and retrospective analysis in Karaoun Reservoir, Lebanon

On the successful use of a simplified model to simulate the succession of toxic cyanobacteria in a hypereutrophic reservoir with a highly fluctuating water level

Assessment of The trophic state and Chlorophyll-a concentrations using Landsat OLI in Karaoun reservoir, Lebanon

Contact Info

Product

Resources

About