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. 2023 Oct 27;13:18440. doi: 10.1038/s41598-023-45571-9

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© The Author(s) 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Distribution of the degradation levels (as a response variable) and human pressure and climate variables (as predictor variables) in the Caatinga region. The relationship between the predictor variables and the response variable was evaluated using a Random Forest predictive model (see results and Fig. 3). The maps were generated using the software QGIS version 3.20.0-Odense (https://qgis.org/en/site/).