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 m and above 2,700 m.
The habitat suitability model generated in Maxent showed some areas suitable in climatic terms for this species in serrania del Baudo, serrania de San Lucas, Sierra Nevada de Santa Marta and the northern two thirds of the Western Andes. Those areas are not known to be occupied by this species and were deleted from our final potential distribution map.
Distribution of specimens according to BioMap suggest a zone of intergradation (1,474 km2) between subspecies parvula and sagitta in southern Huila.
Most of the distribution in the Central Andes (north from Huila) needs further collections to clarify better if subspecies parvula is the one present in that area.
Assuming that the distribution of the species may have filled the complete climatic model generated, its distribution today in remnants of forest is about 54,559 km2, which corresponds to a loss of 59 % of its potential original distribution due to deforestation.
Regularized training gain is 2.066, training AUC is 0.968, unregularized training gain is 2.497.
Algorithm converged after 1400 iterations (61 seconds).
The follow settings were used during the run:
81 presence records used for training.
10081 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: 0.186, categorical: 0.250, threshold: 1.190, 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:
0.092-0.127-Fractional predicted area
0.086-0.049-Training omission rate