To elaborate our model we removed uncertain localities such as those with no coordinates and all records with coordinates laying down in sites with estimated elevations above 1,378 m. Also at least seven records in DatAves from Antioquia and Caldas in the mid-high Cauca Valley, which constitute corrupted information, were deleted previous to modelling.
The habitat suitability model generated in Maxent showed areas suitable in climatic terms for this species around Cartagena-Santa Marta, in the high Cauca Valley, and to the east of the mid Magdalena Valley, including some areas that appeared in Amazonia well far to the southeast. These areas are not known to be occupied by the species and were excluded from the potential distribution map of this hummingbird.
Assuming that the distribution of the species may have filled the complete climatic model generated, its distribution today in remnants of forest is about 94,928 km2, which corresponds to a loss of 50 % of its potential original distribution due to deforestation. Nonetheless, this species favours edges and secondary vegetation and therefore possibly deforestation has not negatively affected greatly its populations.
Regularized training gain is 1.551, training AUC is 0.939, unregularized training gain is 1.794.
Algorithm converged after 820 iterations (23 seconds).
The follow settings were used during the run:
68 presence records used for training.
10068 points used to determine the Maxent distribution (background points and presence points).
Environmental layers used (all continuous): bio10co bio11co bio12co bio13co bio14co bio15co bio16co bio17co bio18co bio19co bio1co bio2co bio3co bio4co bio5co bio6co bio7co bio8co bio9co
Regularization values: linear/quadratic/product: 0.141, categorical: 0.250, threshold: 1.320, hinge: 0.500
Feature types used: hinge linear quadratic
'Equal Training Sensitivity and Specificity' and 'Equate Entropy of Thresholded and Original Distributions' thresholds and omission rates:
0.140-0.212-Fractional predicted area
0.147-0.059-Training omission rate