To elaborate our model we produced four pseudoreplicas of the unique type locality known for this species in southwestern Cauca department. The new points were located at approximate 1-2.5 km east northeast, northeast, west and southeast from the fist type locality at elevations in the range 2,415-3,001 m, two of them inside the ProAves reserve 'Zamarrito del Pinche'.
The habitat suitability model generated in Maxent showed a few sparse areas suitable in climatic terms for this species in the southern Central Andes and the east slope of the Eastern Andes in its central northern section. Areas not near the type locality or isolated from it 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 518 km2, which corresponds to a loss of 16 % of its potential original distribution due to deforestation.
This species has been categorised as Critically Endangered (CR) according to BirdLife International (2016) because it is known from a single location and has a very small area of occupancy in a region were still deforestation and fragmentation advance due to agriculture and ilegal crops cultivation such as coca. BirdLife has estimated its extent of occurrence in 44 km2, which is limited to the areas surrounding the type locality. Our model predict a larger extent of occurrence than the one estimated by BirdLife, being in the order of 518 km2. Nonetheless, most areas predicted as suitable need confirmation of the presence of the species. Our maps constitute the first approach to understand better the geographical distribution of this rare species and can be used as a guide to direct searches of the species in other localities different to the type locality. In case it is proven the species may have a wider distribution possibly it can be in a near future down-listed to Endangered (EN). This species needs urgently research of its general ecology and distribution.
Regularized training gain is 5.471, training AUC is 1.000, unregularized training gain is 6.559.
Algorithm converged after 300 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:
0.001-0.004-Fractional predicted area
0.000-0.000-Training omission rate