Comparing the effectiveness of random forest and generalized linear models in predicting ungulate browsing impact on Kyiv Polissya’s young pine forests
Authors
Natalia Vysotska
Estonian University of Life Sciences, Institute of Forestry and Engineering, Tartu, Estonia
Ukrainian Research Institute of Forestry and Forest Melioration, Kharkiv, Ukraine
Oleksandr Khromuliak
Dniprovsko-Teterivske State Forest and Hunting Enterprise, Kyiv, Ukraine
Oleksandr Borysenko
University of Tartu, Department of Remote Sensing, Tartu Observatory, Toravere, Estonia
National Aerospace University ‘Kharkiv Aviation Institute’, Department of Geoinformation Technologies and Space Monitoring of the Earth, Kharkiv, Ukraine
Maksym Rumiantsev
Ukrainian Research Institute of Forestry and Forest Melioration, Kharkiv, Ukraine
Iryna Yashchuk
State Enterprise ‘Klavdiivska Forest Research Station’, Kyiv, Ukraine
Oleksandr Kipran
Ukrainian Research Institute of Forestry and Forest Melioration, Kharkiv, Ukraine
Language: English
Page range: 1 - 11
Submitted on: Mar 9, 2024
Accepted on: Jan 2, 2025
Published on: Mar 7, 2025
Published by: Forest Research Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Related subjects:
© 2025 Natalia Vysotska, Oleksandr Khromuliak, Oleksandr Borysenko, Maksym Rumiantsev, Iryna Yashchuk, Oleksandr Kipran, published by Forest Research Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.