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
Chapter Title
Effect of Climate Change and anthropogenic pressures on the European eel Anguilla anguilla from RAMSAR Wetland Ichkeul Lake: prediction from the Random Forest model
Authors
Sabrine Sahabni, Rachid Toujani, Nabiha Ben M’Barek, Ennio Ottaviani, Eva Riccomagno, Enrico Prampolini, Hechmi Missaoui, Bechir Bejaoui
Language
English
DOI
10.36253/979-12-215-0030-1.72
Peer Reviewed
Publication Year
2022
Copyright Information
© 2022 Author(s)
Content License
Metadata License
Book Title
Ninth International Symposium “Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques”
Book Subtitle
Livorno (Italy) 14th-16th June 2022
Editors
Laura Bonora, Donatella Carboni, Matteo De Vincenzi, Giorgio Matteucci
Peer Reviewed
Publication Year
2022
Copyright Information
© 2022 Author(s)
Content License
Metadata License
Publisher Name
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
Series Title
Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques
Series ISSN
2975-0423
Series E-ISSN
2975-0288