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Comparing the effectiveness of random forest and generalized linear models in predicting ungulate browsing impact on Kyiv Polissya’s young pine forests Cover

Comparing the effectiveness of random forest and generalized linear models in predicting ungulate browsing impact on Kyiv Polissya’s young pine forests

Open Access
|Mar 2025
DOI: https://doi.org/10.2478/ffp-2025-0001 | Journal eISSN: 2199-5907 | Journal ISSN: 0071-6677
Language: English
Page range: 1 - 11
Submitted on: Mar 9, 2024
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Accepted on: Jan 2, 2025
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Published on: Mar 7, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 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.