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Coupling Diversity Indices with Boosted Regression Trees Predicts Species Abundance and Spatial Community Patterns in Dry Afromontane Forests Cover

Coupling Diversity Indices with Boosted Regression Trees Predicts Species Abundance and Spatial Community Patterns in Dry Afromontane Forests

Open Access
|Jun 2026

Authors

Gebreyohannes Zenebe

zegere777@gmail.com

Institute of Climate and Society (ICS), Mekelle University, Mekelle, Ethiopia

Amanuel Zenebe

Institute of Climate and Society (ICS), Mekelle University, Mekelle, Ethiopia
Department of Land Resource Management and Environmental Protection, College of Dryland Agriculture and Natural Resources, Mekelle University, Mekelle, Ethiopia

Atkilt Girma

Institute of Climate and Society (ICS), Mekelle University, Mekelle, Ethiopia
Department of Land Resource Management and Environmental Protection, College of Dryland Agriculture and Natural Resources, Mekelle University, Mekelle, Ethiopia

Yemane Kahsai

Institute of Climate and Society (ICS), Mekelle University, Mekelle, Ethiopia

Aklilu Negussie

WeForest, Overijse, Belgium

Robert Marchant

Department of Environment and Geography, University of York, York, United Kingdom

Aster Gebrekirstos

World Agroforestry Centre (ICRAF), United Nations Avenue, Nairobi, Kenya

Emiru Birhane

emiru.b.hizikias@nord.no

Institute of Climate and Society (ICS), Mekelle University, Mekelle, Ethiopia
Department of Land Resource Management and Environmental Protection, College of Dryland Agriculture and Natural Resources, Mekelle University, Mekelle, Ethiopia
Faculty of Bioscience and Aquaculture, Nord University, Steinkjer, Norway
DOI: https://doi.org/10.2478/jlecol-2026-0031 | Journal eISSN: 1805-4196 | Journal ISSN: 1803-2427
Language: English
Submitted on: Aug 16, 2025
Accepted on: Apr 3, 2026
Published on: Jun 19, 2026
In partnership with: Paradigm Publishing Services

© 2026 Gebreyohannes Zenebe, Amanuel Zenebe, Atkilt Girma, Yemane Kahsai, Aklilu Negussie, Robert Marchant, Aster Gebrekirstos, Emiru Birhane, published by Czech Society for Landscape Ecology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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