Projects

DistriMod

TOWARDS BETTER SPECIES DISTRIBUTION MODELS: THEORY, TECHNIQUE, AND VALIDATION 

(CGL2017-89000-P) (2018-2021)

Principal investigator: Alberto Jimenez-Valverde (University of Alcalá)

Derived publications:


RODRÍGUEZ-REY, M. & JIMÉNEZ-VALVERDE, A. (2024) Differing sensitivity of species distribution modelling algorithms to climate data source. Ecological Informatics., 79: 102387.
JIMÉNEZ-VALVERDE, A. (2022) The uniform AUC: dealing with the representativeness effect in presence-absence models. Methods in Ecology and Evolution, 13: 1224-1236.
JIMÉNEZ-VALVERDE, A., RODRÍGUEZ-REY, M. & PEÑA-AGUILERA, P. (2021) Climate data source matters in species distribution modelling: the case of the Iberian Peninsula. Biodiversity and Conservation, 30: 67-84.
JIMÉNEZ-VALVERDE, A. (2021) Prevalence affects the evaluation of discrimination capacity in presence-absence species distribution models. Biodiversity and Conservation, 30: 1331-1340.
JIMÉNEZ-VALVERDE, A., ARAGÓN, P. & LOBO, J. M. (2021) Deconstructing the abundance-suitability relationship in species distribution modeling. Global Ecology and Biogeography, 30: 327-338.
JIMÉNEZ-VALVERDE, A. (2020) Sample size for the evaluation of presence-absence models. Ecological Indicators, 114: 106289.    
JIMÉNEZ-VALVERDE, A., PEÑA-AGUILERA, P., BARVE, V. & BURGUILLO-MADRID, L. (2019) Photo-sharing platforms key for characterizing niche and distribution in poorly studied taxa. Insect Diversity and Conservation, 12: 389-403.

Derived software:

JIMÉNEZ-VALVERDE A. (2022) vandalico: Evaluation of Presence-Absence Models. R package version 0.0.1. Available at https://cran.r-project.org/web/packages/vandalico/index.html