To elaborate our model we produced four pseudoreplicas of one locality we found in the Checklist of the Birds of Colombia, originated from sightings in reserve El Pangan in Nariño (Donegan et al. 2007) and that we managed to georeference. The new points were located at approximate 1.5-2 km northwest, northeast, southeast and southwest from the original locality. There is one more known locality nearby, reserva Rio Ñambi (BirdLife International 2017), for which we did not find coordinates but that must be possible to find in some other sources in the literature. Also, one record in BioMap from Valle del Cauca, which represents corrupted information in the database was deleted previous to modelling.
The habitat suitability model generated in Maxent showed extensively areas suitable in climatic terms for this species in the Western Andes, Central Andes and the eastern slope of the Eastern Andes. Areas off southwestern Nariño were excluded from the potential distribution map of this hummingbird. Might be possible that the whole sothwest Nariño has areas suitable for this species, however, further areas where not highlighted.
Assuming that the distribution of the species may have filled the complete climatic model generated, its distribution today in remnants of forest is about 3,259 km2, which corresponds to a loss of 40 % of its potential original distribution due to deforestation.
This near-endemic species has been catalogued by BirdLife International (2016) as Vulnerable (VU). The species has a extent of occurrence estimated in 350,000 km2 (BirdLife International 2016), with most of its distribution in Ecuador. Our analysis suggest an extent of occurrence in Colombia of 5,458 km2, which is well below the 20,000 km2 threshold for Vulnerable and approaches the 5,000 km2 threshold for Endangered (EN). Our analysis also suggest the species has lost a good proportion of what potentially was its original distribution in Colombia due to deforestation, giving the extent of occurrence of forested areas and the threats to its habitat such as deforestation and fragmentation, which still continue, likely this species might be up-listed at country level in Colombia as Endangered (EN).
Regularized training gain is 1.767, training AUC is 0.992, unregularized training gain is 2.942.
Algorithm converged after 200 iterations (1 seconds).
The follow settings were used during the run:
5 presence records used for training.
10005 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: 0.575, threshold: 1.950, hinge: 0.500
Feature types used: linear
'Equal Training Sensitivity and Specificity' and 'Equate Entropy of Thresholded and Original Distributions' thresholds and omission rates:
0.020-0.171-Fractional predicted area
0.000-0.000-Training omission rate