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. 2023 Apr 20;13:5277. doi: 10.1038/s41598-023-31467-1

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© The Author(s) 2023, corrected publication 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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Summary of model predictions. Predictions of the models for different DEMs and empirical data (in situ) indicate the best fit of probability of nest flooding for (a) Costa Rica and (b) Ecuador turtle nests. IPCC sea level rise predictions are included for RCP 4.5 (blue) and RCP 8.5 (red). For Ecuador, the RCP climate change scenario did not influence the probability of nest flooding. Cohen’s kappa (κ) values for prediction (or not) of flooding for each nest compared in situ data with respective DEM datasets. Bold values correspond to a small but significant relationship between the in situ and DEM data.