Abstract:Ghar El Melh is a shallow lagoon (average depth of 0.8 m) that has undergone a eutrophication process due to growing human pressures. To obtain a global frame of the ecosystem functioning, an optical and an ecological classification were used in parallel. Downwelling and upwelling spectral irradiances were measured in situ in 22 sampling stations across the water body; then Apparent Optical Properties (AOPs), namely reflectance R(λ) and vertical attenuation coefficient K d (λ) were calculated for each waveleng… Show more
“…The marine coastal ecosystems were characterized by highlyproductivity and critical ecology and economical functions with seagrasses, mangroves and coral reefs (Feng et al 2009;Nourisson et al 2013). The seagrass meadows with succession of aquatic angiosperms plants stabilize sediments reduce the velocity of flow and provide essential habitats for many estuarine species.…”
In order to increase our understanding of the microbial diversity associated with seagrass Thalassia hemprichii in Xincun Bay, South China Sea, 16S rRNA gene was identified by highthrough sequencing method. Bacteria associated with seagrass T. hemprichii belonged to 37 phyla, 99 classes. The diversity of bacteria associated with seagrass was similar among the geographically linked coastal locations of Xincun Bay. Proteobacteria was the dominant bacteria and the α-proteobacteria had adapted to the seagrass ecological niche. As well, α-proteobacteria and Pseudomonadales were associated microflora in seagrass meadows, but the interaction between the bacteria and plant is needed to further research. Burkholderiales and Verrucomicrobiae indicated the influence of the bay from anthropogenic activities. Further, Cyanobacteria could imply the difference of the nutrient conditions in the sites. γ-proteobacteria, Desulfobacterales and Pirellulales played a role in the cycle of sulfur, organic mineralization and meadow ecosystem, respectively. In addition, the less abundance bacteria species have key functions in the seagrass meadows, but there is lack knowledge of the interaction of the seagrass and less abundance bacteria species. Microbial communities can response to surroundings and play key functions in the biochemical cycle.
“…The marine coastal ecosystems were characterized by highlyproductivity and critical ecology and economical functions with seagrasses, mangroves and coral reefs (Feng et al 2009;Nourisson et al 2013). The seagrass meadows with succession of aquatic angiosperms plants stabilize sediments reduce the velocity of flow and provide essential habitats for many estuarine species.…”
In order to increase our understanding of the microbial diversity associated with seagrass Thalassia hemprichii in Xincun Bay, South China Sea, 16S rRNA gene was identified by highthrough sequencing method. Bacteria associated with seagrass T. hemprichii belonged to 37 phyla, 99 classes. The diversity of bacteria associated with seagrass was similar among the geographically linked coastal locations of Xincun Bay. Proteobacteria was the dominant bacteria and the α-proteobacteria had adapted to the seagrass ecological niche. As well, α-proteobacteria and Pseudomonadales were associated microflora in seagrass meadows, but the interaction between the bacteria and plant is needed to further research. Burkholderiales and Verrucomicrobiae indicated the influence of the bay from anthropogenic activities. Further, Cyanobacteria could imply the difference of the nutrient conditions in the sites. γ-proteobacteria, Desulfobacterales and Pirellulales played a role in the cycle of sulfur, organic mineralization and meadow ecosystem, respectively. In addition, the less abundance bacteria species have key functions in the seagrass meadows, but there is lack knowledge of the interaction of the seagrass and less abundance bacteria species. Microbial communities can response to surroundings and play key functions in the biochemical cycle.
“…As with K d , a marked variability of values and shapes was observed (Figure 4a), but some common features were identified. The values of R(10) in the green band [R(555)] were relatively high (1-19%, average 8.7%), indicating a conspicuous irradiance backscattering (see discussion in Nourisson et al 2013). The blue/green reflectance ratio [R(443) / R(555)] was always smaller than 1 (Nourisson et al 2013; Table 1), i.e.…”
Section: Optical Propertiesmentioning
confidence: 95%
“…The results from laboratory analyses (detailed in Nourisson et al 2013) showed that CDOM concentrations were relatively high (a CDOM (440) mean = 0.389 m −1 ; min. = 0.171, max.…”
Section: Las Concentrations and Patternsmentioning
confidence: 99%
“…In addition, the use of optical remote sensing data may be validated by such in situ data, adding a further dimension to the monitoring of the coastal zone (Ferreira et al 2011;Novoa et al 2012;Caroppo et al 2013). Here we assess the suitability of an optical monitoring methodology by examining the relationships between the main LASs and AOPs in the lagoon and by comparing the results with those obtained from the classification of Reinart et al (2003) and from the ecological assessment of this lagoon carried out by Nourisson et al (2013).…”
mentioning
confidence: 99%
“…The Reinart et al (2003) optical classification provides reference values for five types of waters: clear (C), moderate (M), turbid (T), very turbid (V) and brown (B). The classification has been successfully applied at the Ghar El Melh coastal lagoon on the north-eastern coast of Tunisia (Nourisson et al 2013) to achieve a synthetic and rapid procedure for routine monitoring of coastal waterbodies.…”
North African coastal lagoons are unique ecosystems that often suffer degradation due to human activities. Therefore, monitoring methods are required to identify stressors and assist with the management of these valuable and often understudied ecosystems. A synthetic indicator of water ecological quality would be desirable for regular monitoring of these ecosystems under pressure. In 2008 an optical procedure was developed and applied in Ghar El Melh, a Tunisian lagoon which has been increasingly impacted by pollutant loading, especially from agriculture. In situ hyperspectral irradiance was measured at several stations, from which the apparent optical properties (AOPs), namely the irradiance attenuation coefficient K(λ) and the reflectance ratio R(λ), were obtained in order to relate them to water composition, in terms of light-attenuating substances (LASs). The significant relationships observed between R and LAS values enabled the application of a hyperspectral optical classification, which effectively highlighted threatened sectors of the lagoon. The pattern of differing water quality across the lagoon system that was derived from the hyperspectral classification agreed well with that obtained from a conventional optical classification that included AOPs and LASs. We suggest that hyperspectral analysis and classification is a useful monitoring tool for the assessment of change in coastal lagoons, and perhaps also in other shallow-water ecosystems.
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