chapter-37016.pdf
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 lan...
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Firenze University Press
2023
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| Διαθέσιμο Online: | https://books.fupress.com/doi/capitoli/979-12-215-0030-1_72 |
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oapen-20.500.12657-62784 |
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oapen-20.500.12657-627842024-03-28T08:18:46Z Chapter Effect of Climate Change and anthropogenic pressures on the European eel Anguilla anguilla from RAMSAR Wetland Ichkeul Lake: prediction from the Random Forest model Toujani, Rachid Ben M’Barek, Nabiha Missaoui, Hechmi SAHBANI, Sabrine Ottaviani, Ennio Riccomagno, Eva Prampolini, Enrico Béjaoui, Béchir Ichkeul Lake Climate Change Eutrophication European eel TRIX Random Forest thema EDItEUR::J Society and Social Sciences::JP Politics and government 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. 2023-05-01T13:44:04Z 2023-05-01T13:44:04Z 2022 chapter ONIX_20230501_9791221500301_200 9791221500301 https://library.oapen.org/handle/20.500.12657/62784 eng Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques application/pdf Attribution-NonCommercial-ShareAlike 4.0 International chapter-37016.pdf https://books.fupress.com/doi/capitoli/979-12-215-0030-1_72 Firenze University Press 10.36253/979-12-215-0030-1.72 10.36253/979-12-215-0030-1.72 bf65d21a-78e5-4ba2-983a-dbfa90962870 9791221500301 1 10 Florence open access |
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English |
| description |
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. |
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chapter-37016.pdf |
| spellingShingle |
chapter-37016.pdf |
| title_short |
chapter-37016.pdf |
| title_full |
chapter-37016.pdf |
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chapter-37016.pdf |
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chapter-37016.pdf |
| publisher |
Firenze University Press |
| publishDate |
2023 |
| url |
https://books.fupress.com/doi/capitoli/979-12-215-0030-1_72 |
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