2026-05-31T08:40:24Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/299582026-02-03T11:01:21Zcom_10630_2254col_10630_37953

New measures for assessing model equilibrium and prediction mismatch in species distribution models. Barbosa, A. Márcia Real-Giménez, Raimundo Muñoz-Gallego, Antonio Román Brown, Jennifer A. Animales - Distribución geográfica - Modelos matemáticos Models based on species distributions are widely used and serve important purposes in ecology, biogeography and conservation. Their continuous predictions of environmental suitability are commonly converted into a binary classification of predicted (or potential) presences and absences, whose accuracy is then evaluated through a number of measures that have been the subject of recent reviews. We propose four additional measures that analyse observation-prediction mismatch from a different angle – namely, from the perspective of the predicted rather than the observed area – and add to the existing toolset of model evaluation methods. We explain how these measures can complete the view provided by the existing measures, allowing further insights into distribution model predictions. We also describe how they can be particularly useful when using models to forecast the spread of diseases or of invasive species and to predict modifications in species’ distributions under climate and land-use change. 2024-02-07T10:05:36Z 2024-02-07T10:05:36Z 2024-02-07T10:05:36Z 2013-06-19 journal article BARBOSA, A.M., REAL, R., MUÑOZ, A.R. & BROWN, J.A. 2013. New measures for assessing model equilibrium and prediction mismatch in species distribution models. Diversity and Distributions 19:1333-1338 https://doi.org/10.1111/ddi.12100 https://hdl.handle.net/10630/29958 10.1111/ddi.12100 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional Wiley