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 300 m. This corresponded to one record in BioMap from Valle del Cauca, which corresponds to a taxonomic ambiguity that must be placed under A. nigricollis iridescens, this was deleted previous to modelling.
The habitat suitability model generated in Maxent showed a belt of suitable habitat in climatic terms for this species along the Arid Caribbean from Santa Marta to Cartagena and further south. These areas are not known to be occupied by the species and were excluded from the potential distribution map of this hummingbird.
Subspecies hendersonii from San Andres and Providencia was not mapped since its distribution is non continental.
Regularized training gain is 2.667, training AUC is 0.984, unregularized training gain is 3.102.
Algorithm converged after 220 iterations (1 seconds).
The follow settings were used during the run:
2 presence records used for training.
10002 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: 1.000, categorical: 0.620, threshold: 1.980, hinge: 0.500
Feature types used: linear
'Equal Training Sensitivity and Specificity' and 'Equate Entropy of Thresholded and Original Distributions' thresholds and omission rates:
0.020-0.069-Fractional predicted area
0.000-0.000-Training omission rate