To elaborate our model we removed uncertain localities such as those localities with no coordinates. Also 16 records in BioMap from serrania del Perija, which constitute corrupted information in the database were deleted previous to modelling.
The habitat suitability model generated in Maxent showed areas suitable in climatic terms for this species in the Eastern Andes and in a few sparse areas in the Central Andes, also in the zone of cerro Pirre and south in the border with Panama. Exception areas near Pirre, from where there are no known records but may be likely suitable, 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 811 km2, which corresponds to a loss of 7 % of its potential original distribution due to deforestation.
Despite being a range restricted species, BirdLife International (2017) has categorised this species as of Least Concern (LC) because it is not believed it approaches to the thresholds of Vulnerable (VU) under the range size, population trend or population size criterion. Its range has been estimated in 14,600 km2 (BirdLife International 2017). Our maps suggests an extent of occurrence of 870 km2 in Colombia. It is considered local (McMullan & Donegan, 2014). This species is in great need of further research of its ecology to define better if there are any threats to its populations. There is not suggestion that its habitat is threatened at present time. Nonetheless, given the highly restricted range in Colombia and how little is known of its ecology, we consider it must be uplisted as Near Threatened (NT), until it is clarified the status of its populations.
Regularized training gain is 3.125, training AUC is 0.997, unregularized training gain is 4.313.
Algorithm converged after 320 iterations (1 seconds).
The follow settings were used during the run:
3 presence records used for training.
10003 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: 0.605, threshold: 1.970, hinge: 0.500
Feature types used: linear
'Equal Training Sensitivity and Specificity' and 'Equate Entropy of Thresholded and Original Distributions' thresholds and omission rates:
0.006-0.044-Fractional predicted area
0.000-0.000-Training omission rate