To elaborate our model we removed uncertain localities such as 'Bogota skins' and all records with no coordinates.
The habitat suitability model generated in Maxent showed extensively areas suitable in climatic terms for this species west of the Andes. 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 in the Amazon Region is about 474,138 km2, which corresponds to a loss of 9 % of its potential original distribution due to deforestation in that region.
Regularized training gain is 0.264, training AUC is 0.813, unregularized training gain is 0.591.
Algorithm converged after 140 iterations (1 seconds).
The follow settings were used during the run:
12 presence records used for training.
10012 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: 0.714, categorical: 0.429, threshold: 1.880, hinge: 0.500
Feature types used: linear quadratic
'Equal Training Sensitivity and Specificity' and 'Equate Entropy of Thresholded and Original Distributions' thresholds and omission rates:
0.272-0.768-Fractional predicted area
0.250-0.000-Training omission rate