RT Journal Article
T1 New measures for assessing model equilibrium and prediction mismatch in species distribution models.
A1 Barbosa, A. Márcia
A1 Real-Giménez, Raimundo
A1 Muñoz-Gallego, Antonio Román
A1 Brown, Jennifer A.
K1 Animales  - Distribución geográfica - Modelos matemáticos
AB 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.
PB Wiley
YR 2013
FD 2013-06-19
LK https://hdl.handle.net/10630/29958
UL https://hdl.handle.net/10630/29958
LA eng
NO 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
NO Política de acceso abierto tomada de: https://v2.sherpa.ac.uk/id/publication/6798 https://onlinelibrary.wiley.com/page/journal/14724642/homepage/fundedaccess.html
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 13 abr 2026