To elaborate our model we removed uncertain localities such as those localities with no coordinates and all records with coordinates laying down in sites with estimated elevations below 422 and above 3,132 m.
The habitat suitability model generated in Maxent showed areas suitable in climatic terms for this species in serrania del Perija, Sierra Nevada de Santa Marta and a few areas in the Central and Western 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 some areas were predicted as suitable by our model in the southern Andes, these areas are supported by a few novel records that suggest a possible range extension to the southwest some 250 km. Although noted in our maps, this possible extension needs further confirmation and revision.
Distribution of specimens according to BioMap suggest the presence of subspecies euchloris in the northern end of the Eastern Andes and in the western slope of this cordillera. However, there are many specimens along all this range that have been identified as subspecies poortmani, and therefore this may suggest a generalised introgression or that subspecies euchloris is not a valid taxon. These possibilities and the relations of the species with Chlorostilbon stenurus need further revision and study.
Assuming that the distribution of the species may have filled the complete climatic model generated, its distribution today in remnants of forest is about 24,155 km2, which corresponds to a loss of 68 % of its potential original distribution due to deforestation.
Regularized training gain is 2.371, training AUC is 0.982, unregularized training gain is 2.922.
Algorithm terminated after 2000 iterations (69 seconds).
The follow settings were used during the run:
110 presence records used for training.
10109 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:
0.057-0.094-Fractional predicted area
0.055-0.018-Training omission rate