To elaborate our model 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 2,500 m.
The habitat suitability model generated in Maxent showed areas suitable in climatic terms for this species in the mid and high Cauca Valley and a few areas in the eastern slope of the Eastern Andes. These areas are not known to be occupied by the species and were excluded from the potential distribution map of this hummingbird. Also is important to note that extensive areas were not predicted as suitable by our model in the high Sinu, low Cauca and mid-low Magdalena valleys, these areas were noted as such in our maps.
Distribution of specimens according to BioMap suggest a zone of intergradation (12,513 km2) between subspecies nitens and chrysogaster in southern Guajira, northeastern Cesar and the extreme north of Norte de Santander. Equally, suggest a second zone of intergradation (26,246 km2) between subspecies chrysogaster and gibsoni in most of Norte de Santander, eastern Santander and extreme northeastern Boyaca.
Assuming that the distribution of the species may have filled the complete climatic model generated, its distribution today in remnants of forest is about 75,449 km2, which corresponds to a loss of 75 % of its potential original distribution due to deforestation. Nonetheless, this species favours edges, secondary vegetation and plantations and therefore possibly deforestation has not negatively affected greatly its populations.
Regularized training gain is 1.610, training AUC is 0.944, unregularized training gain is 1.855.
Algorithm terminated after 2000 iterations (71 seconds).
The follow settings were used during the run:
420 presence records used for training.
10415 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: 0.050, categorical: 0.250, threshold: 1.000, hinge: 0.500
Feature types used: hinge product linear threshold quadratic
'Equal Training Sensitivity and Specificity' and 'Equate Entropy of Thresholded and Original Distributions' thresholds and omission rates:
0.121-0.201-Fractional predicted area
0.121-0.045-Training omission rate