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. 2022 Feb 15;12:2500. doi: 10.1038/s41598-022-06436-9

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© The Author(s) 2022

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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Coefficient plot for models evaluating spatial coincidence between populations. Thick and narrow bars represent respectively standard errors and confidence intervals (95%) of the estimates of variables within models evaluating the probability of presence of GPS-tagged Eurasian griffon vultures in a 10 × 10 km grid cell covering peninsular Spain (red) and the coincidence of vultures from different populations in the same grid cell (blue). Below we show the projection of the probability of coincidence in relation to the most relevant variables describing habitat (Dehesa and Open vegetation) and food resources (Sheep/goats and Wild ungulates).