To elaborate our models we removed uncertain localities such as 'Bogota skins', those localities with no coordinates and all records with coordinates laying down in sites with estimated elevations above 300 m.
The habitat suitability model generated in Maxent showed areas suitable in climatic terms for this hummingbird extensively in the Pacific lowlands. Those areas are not known to be occupied by this hummingbird and were deleted from our final potential distribution map.
Assuming that the distribution of the species may have filled the complete climatic model generated, its distribution today in remnants of forest is about 353,813 km2, which corresponds to a loss of 2 % of its potential original distribution due to deforestation.
Regularized training gain is 0.239, training AUC is 0.825, unregularized training gain is 0.514.
Algorithm converged after 80 iterations (0 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:
0.227-0.786-Fractional predicted area
0.000-0.000-Training omission rate