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. 2023 Dec 7;20:38. doi: 10.1186/s12983-023-00515-x

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© The Author(s) 2023, corrected publication 2024

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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 2 — General scheme of the procedure used in three species as examples: Dendropsophus nanus (upper part) as a threatened species, Scinax uruguayus (middle part) as a non-threatened non-ubiquitous species, and Scinax squalirostris (lower part) as a ubiquitous species. From left to right: grid cells with presence according to both sources of information (upper maps: according to expert-criteria; lower maps: according to species records); the favourability models based on expert knowledge (E); the favourability models based on species records (R); their fuzzy union (E ∪ R) and their fuzzy intersection (E ∩ R)