Articles | Volume 16, issue 9
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.
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
CORRESPONDING AUTHOR
Dipartimento di Fisica e Astronomia (DIFA) University of Bologna,
Viale Berti Pichat, 6/2, 40127 Bologna, Italy
Consorzio Nazionale Interuniversitario per le Scienze dal Mare,
Piazzale Flaminio 9, 00195 Rome, Italy
Agenzia Regionale Prevenzione Ambiente Energia (ARPAE)
dell'Emilia-Romagna, Struttura Oceanografica Daphne, Viale Vespucci, 2,
47042 Cesenatico (FC), Italy
Marco Zavatarelli
Dipartimento di Fisica e Astronomia (DIFA) University of Bologna,
Viale Berti Pichat, 6/2, 40127 Bologna, Italy
Consorzio Nazionale Interuniversitario per le Scienze dal Mare,
Piazzale Flaminio 9, 00195 Rome, Italy
Nadia Pinardi
Dipartimento di Fisica e Astronomia (DIFA) University of Bologna,
Viale Berti Pichat, 6/2, 40127 Bologna, Italy
Centro EuroMediterraneo sui Cambiamenti Climatici, Lecce, Italy
Cristina Mazziotti
Agenzia Regionale Prevenzione Ambiente Energia (ARPAE)
dell'Emilia-Romagna, Struttura Oceanografica Daphne, Viale Vespucci, 2,
47042 Cesenatico (FC), Italy
Carla Rita Ferrari
Agenzia Regionale Prevenzione Ambiente Energia (ARPAE)
dell'Emilia-Romagna, Struttura Oceanografica Daphne, Viale Vespucci, 2,
47042 Cesenatico (FC), Italy
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25 citations as recorded by crossref.
- Seasonal assessment of the trophic status in the coastal waters adjoining Tuticorin harbor in relation to water quality and plankton community in the Gulf of Mannar, India R. Sathishkumar et al. 10.1016/j.oceano.2022.07.002
- Ecological quality assessment under uncertainty for transitional and coastal waters: Central Eastern Adriatic Sea study R. Andricevic 10.1016/j.ecolind.2022.108850
- Water Quality in Estero Salado of Guayaquil Using Three-Way Multivariate Methods of the STATIS Family A. Grijalva-Endara et al. 10.3390/w16152196
- Evaluation of the water quality and the eutrophication risk in Ramsar site on Moroccan northern Mediterranean (Marchica lagoon): A multivariate statistical approach H. Ngadi et al. 10.1016/j.marpolbul.2023.115373
- Evaluación del estado trófico de las aguas en la ensenada de Turpialito, golfo de Cariaco, Venezuela (Caribe SE) A. Márquez et al. 10.53554/boletin.v39i2.419
- Spatial, temporal, and vertical variability of nutrients in the Southeastern Black Sea A. ALKAN et al. 10.1016/j.chemosphere.2022.134809
- A comprehensive evaluation of water quality and its potential health risks using physicochemical indices in coastal areas of the Gulf of Suez, Red Sea G. Zaghloul et al. 10.1016/j.ocecoaman.2023.106717
- Machine learning predictions of trophic status indicators and plankton dynamic in coastal lagoons B. Béjaoui et al. 10.1016/j.ecolind.2018.08.041
- Wind-wave characteristics and extremes along the Emilia-Romagna coast U. Pranavam Ayyappan Pillai et al. 10.5194/nhess-22-3413-2022
- 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
- Trophic status assessment of Central Eastern Adriatic Sea using water quality variables and loading capacity concept for estuaries R. Andricevic et al. 10.1016/j.marpolbul.2021.113126
- 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
- Should we reconsider how to assess eutrophication? L. Polimene et al. 10.1093/plankt/fbad022
- Hydrodynamic modelling in marginal and coastal seas — The case of the Adriatic Sea as a permanent laboratory for numerical approach G. Umgiesser et al. 10.1016/j.ocemod.2022.102123
- An applicability test of the conventional and neural network methods to map the overall water quality of the Caspian Sea M. Mokarram et al. 10.1016/j.marpolbul.2023.115077
- 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
- Projected climate oligotrophication of the Adriatic marine ecosystems L. Mentaschi et al. 10.3389/fclim.2024.1338374
- Advancements and trends in ecological models for lake ecosystems: A bibliometric analysis (2002–2022) W. Li et al. 10.1002/eco.2655
- 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
- Data-driven modelling for assessing trophic status in marine ecosystems using machine learning approaches M. Uddin et al. 10.1016/j.envres.2023.117755
- 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
- An integrated novel approach to the environmental health assessment of Bangladesh's coastal ecosystems S. Sowrav et al. 10.1016/j.envc.2024.101019
- Application of eutrophication indices for assessment of the ecological quality of the Moroccan eastern Mediterranean coast: Ras Kabdana-Saïdia H. Ngadi et al. 10.1051/e3sconf/202336402008
Latest update: 23 Nov 2024
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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