<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This work aims to compile the birds breeding in the cedar forest of Aurès and to study the “Bird – Habitat” relationships. The data was collected using the progressive frequency sampling method that served as the basis for the diagnosis build on an analytical approach designed around three tools (mutual information, ecological profiles, modelling). Information theory tools allowed us to identify the indicator values of species as well as the most important descriptors. Habitat modelling has been prepared for species with a high indicator value. The logistic models are shown to be well adapted to the nature of the ornithological data. They related the occurrences of the species with the dendro-ecological descriptors. The 70 surveys carried out enabled us to identify 32 bird species. The ecological analysis revealed the most active descriptors and the species with high indicator value. The best-fitting models are those of Short-toed Treecreeper with positive effect of dead wood, density of trees and variability of distances between trees, and European Robin with negative effect of anthropization and general coverage, and positive effect of crown parametres. We conclude that promoting forest structural complexity by diversifying management regimes will be key to maintain avian biodiversity in cedar forests.</p>
</abstract>

This work aims to compile the birds breeding in the cedar forest of Aurès and to study the “Bird – Habitat” relationships. The data was collected using the progressive frequency sampling method that served as the basis for the diagnosis build on an analytical approach designed around three tools (mutual information, ecological profiles, modelling). Information theory tools allowed us to identify the indicator values of species as well as the most important descriptors. Habitat modelling has been prepared for species with a high indicator value. The logistic models are shown to be well adapted to the nature of the ornithological data. They related the occurrences of the species with the dendro-ecological descriptors. The 70 surveys carried out enabled us to identify 32 bird species. The ecological analysis revealed the most active descriptors and the species with high indicator value. The best-fitting models are those of Short-toed Treecreeper with positive effect of dead wood, density of trees and variability of distances between trees, and European Robin with negative effect of anthropization and general coverage, and positive effect of crown parametres. We conclude that promoting forest structural complexity by diversifying management regimes will be key to maintain avian biodiversity in cedar forests.

Ecology and “bird-habitat” relationship in the cedar forest of Aurès mountain (Eastern Algeria)

Laboratory Research in Conservation, Management and Improvement of Forest Ecosystems (LRCGAEF)

Laboratory of Dynamics and Biodiversity, Faculty of Biological Sciences

Ornis Hungarica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

This work aims to compile the birds breeding in the cedar forest of Aurès and to study the “Bird – Habitat” relationships. The data was collected using the...

Ecology and “bird-habitat” relationship in the cedar forest of Aurès mountain (Eastern Algeria)

Online veröffentlicht: 25. Nov. 2022

Seitenbereich: 86 - 109

Eingereicht: 18. März 2022

Akzeptiert: 18. Okt. 2022

DOI: https://doi.org/10.2478/orhu-2022-0022

Schlüsselwörter
bird, endemic forest, ecological profiles, modelling, logistic regression

© 2022 Abdenour Moussouni et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Ecology and “bird-habitat” relationship in the cedar forest of Aurès mountain (Eastern Algeria)

Online veröffentlicht: 25. Nov. 2022

Seitenbereich: 86 - 109

Eingereicht: 18. März 2022

Akzeptiert: 18. Okt. 2022

DOI: https://doi.org/10.2478/orhu-2022-0022

Schlüsselwörterbird, endemic forest, ecological profiles, modelling, logistic regression

© 2022 Abdenour Moussouni et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
bird, endemic forest, ecological profiles, modelling, logistic regression