This study aims to assess the trophic level of Lake Ichkeul and predict the effect of climate change and anthropogenic pressures on European eel using the trophic index TRIX and the Random Forest RF model. The TRIX values show the poor water quality of the lake. While the RF model shows that eel landing depends on water level, turbidity, and salinity. The RF model gave an R2 =58.4% > R2 =40.3% from Multiple linear regression, confirming the high performance of the RF model. The combination of the two models is an appropriate approach to be used in decision making by civil authorities.
INSTM, Tunisia - ORCID: 0000-0002-5444-5844
INSTM, Tunisia
ANPE, Tunisia
OnAIR srl, Italy - ORCID: 0000-0002-2538-5985
University of Genoa, Italy - ORCID: 0000-0001-7280-2772
OnAIR srl, Italy - ORCID: 0000-0003-1297-8885
INSTM, Tunisia
INSTM, Tunisia - ORCID: 0000-0003-3703-0679
Titolo del capitolo
Effect of Climate Change and anthropogenic pressures on the European eel Anguilla anguilla from RAMSAR Wetland Ichkeul Lake: prediction from the Random Forest model
Autori
Sabrine Sahabni, Rachid Toujani, Nabiha Ben M’Barek, Ennio Ottaviani, Eva Riccomagno, Enrico Prampolini, Hechmi Missaoui, Bechir Bejaoui
Lingua
English
DOI
10.36253/979-12-215-0030-1.72
Opera sottoposta a peer review
Anno di pubblicazione
2022
Copyright
© 2022 Author(s)
Licenza d'uso
Licenza dei metadati
Titolo del libro
Ninth International Symposium “Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques”
Sottotitolo del libro
Livorno (Italy) 14th-16th June 2022
Curatori
Laura Bonora, Donatella Carboni, Matteo De Vincenzi, Giorgio Matteucci
Opera sottoposta a peer review
Anno di pubblicazione
2022
Copyright
© 2022 Author(s)
Licenza d'uso
Licenza dei metadati
Editore
Firenze University Press
DOI
10.36253/979-12-215-0030-1
eISBN (pdf)
979-12-215-0030-1
eISBN (xml)
979-12-215-0031-8
Collana
Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques
e-ISSN della collana
2975-0288