Articles | Volume 16, issue 9
Nat. Hazards Earth Syst. Sci., 16, 2043–2054, 2016
https://doi.org/10.5194/nhess-16-2043-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue: Situational sea awareness technologies for maritime safety...
Nat. Hazards Earth Syst. Sci., 16, 2043–2054, 2016
https://doi.org/10.5194/nhess-16-2043-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article 02 Sep 2016
Research article | 02 Sep 2016
Observed and simulated trophic index (TRIX) values for the Adriatic Sea basin
Emanuela Fiori et al.
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Cited
8 citations as recorded by crossref.
- Identification of potentially harmful microalgal species and eutrophication status update in Benoa Bay, Bali, Indonesia Y. Suteja et al. 10.1016/j.ocecoaman.2021.105698
- Machine learning predictions of trophic status indicators and plankton dynamic in coastal lagoons B. Béjaoui et al. 10.1016/j.ecolind.2018.08.041
- The Globalization of Cultural Eutrophication in the Coastal Ocean: Causes and Consequences T. Malone & A. Newton 10.3389/fmars.2020.00670
- Effects of Nutrient Management Scenarios on Marine Eutrophication Indicators: A Pan-European, Multi-Model Assessment in Support of the Marine Strategy Framework Directive R. Friedland et al. 10.3389/fmars.2021.596126
- Evaluation of Landsat-8 OLI and Sentinel-2 MSI images for estimating the ecological quality of port waters M. Pieri et al. 10.1080/22797254.2021.1918582
- Hybrid modeling approach for the northern Adriatic watershed management G. Volf et al. 10.1016/j.scitotenv.2018.04.094
- Interannual variability in the trophic status and water quality of Bahía Magdalena, Mexico, during the 2015–2018 period: TRIX R. Cervantes-Duarte et al. 10.1016/j.rsma.2021.101638
- Distribution of size-fractionated phytoplankton biomass from the anthropogenically stressed tropical creek (Thane creek, India) R. Hardikar et al. 10.1016/j.rsma.2020.101577
8 citations as recorded by crossref.
- Identification of potentially harmful microalgal species and eutrophication status update in Benoa Bay, Bali, Indonesia Y. Suteja et al. 10.1016/j.ocecoaman.2021.105698
- Machine learning predictions of trophic status indicators and plankton dynamic in coastal lagoons B. Béjaoui et al. 10.1016/j.ecolind.2018.08.041
- The Globalization of Cultural Eutrophication in the Coastal Ocean: Causes and Consequences T. Malone & A. Newton 10.3389/fmars.2020.00670
- Effects of Nutrient Management Scenarios on Marine Eutrophication Indicators: A Pan-European, Multi-Model Assessment in Support of the Marine Strategy Framework Directive R. Friedland et al. 10.3389/fmars.2021.596126
- Evaluation of Landsat-8 OLI and Sentinel-2 MSI images for estimating the ecological quality of port waters M. Pieri et al. 10.1080/22797254.2021.1918582
- Hybrid modeling approach for the northern Adriatic watershed management G. Volf et al. 10.1016/j.scitotenv.2018.04.094
- Interannual variability in the trophic status and water quality of Bahía Magdalena, Mexico, during the 2015–2018 period: TRIX R. Cervantes-Duarte et al. 10.1016/j.rsma.2021.101638
- Distribution of size-fractionated phytoplankton biomass from the anthropogenically stressed tropical creek (Thane creek, India) R. Hardikar et al. 10.1016/j.rsma.2020.101577
Latest update: 17 Sep 2021
Short summary
This study shows the capability of the numerical model in reproducing the trophic index (TRIX) calculated from in situ data. The ecosystem simulations can represent an important support for monitoring activities, allowing the use of TRIX to be extended to larger areas where in situ sampling activities are difficult to implement. The model TRIX was calculated for the whole Adriatic Sea, showing trophic differences across the Adriatic Sea.
This study shows the capability of the numerical model in reproducing the trophic index (TRIX)...
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