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

Av: Medverkande: Materialtyp: ArtikelSerie: Utgivningsinformation: Florence Firenze University Press 2022Beskrivning: 1 electronic resource (10 p.)Innehållstyp:
  • text
Medietyp:
  • computer
Bärartyp:
  • online resource
ISBN:
  • 9791221500301
Ämnen: Onlineresurser: I: Sammanfattning: 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.
Inga fysiska exemplar för denna post

Open Access Unrestricted online access star

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.

Accessibility options of PDF file not available

Creative Commons Licence cc by-nc-sa cc https://creativecommons.org/licenses/by-nc-sa/4.0/

eng

Freely available e-book