Schistes geoffroyi


To elaborate our model we removed uncertain localities such as 'Bogota skins' and all records with coordinates laying down in sites with estimated elevations below 503 m and above 2,490 m. Also three records in BioMap from Choco, Antioquia and Cauca approximated to the 'department' coordinates were deleted previous to modelling.

The habitat suitability model generated in Maxent showed areas suitable in climatic terms for this species in Sierra Nevada de Santa Marta and very few in serrania del Baudo. These areas are not known to be occupied by the species and were excluded from the potential distribution map of this hummingbird.

Distribution of specimens, according to BioMap, suggests a possible area (≈ 5,590 km2) of intergradation between subspecies albogularis and the nominate subspecies, located between southeast Cauca, west Putumayo and east Nariño. HBW Alive (2016) has a note confirming these observation and suggesting introgression between both subspecies '...Usually considered conspecific with S. albogularis, an arrangement followed in HBW, as zone of introgression in W Ecuador has not yet been studied.'

Assuming that the distribution of the species may have filled the complete climatic model generated, its distribution today in remnants of forest is about 75,276 km2, which corresponds to a loss of 59 % of its potential original distribution due to deforestation. Nonetheless, this species favours edges and secondary vegetation and therefore possibly deforestation has not negatively affected greatly its populations.


Regularized training gain is 1.883, training AUC is 0.959, unregularized training gain is 2.208.

Algorithm converged after 660 iterations (18 seconds).

The follow settings were used during the run:

42 presence records used for training.

10042 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: 0.216, categorical: 0.250, threshold: 1.580, hinge: 0.500

Feature types used: hinge linear quadratic

responsecurves: true

jackknife: true

maximumiterations: 2000

'Equal Training Sensitivity and Specificity' and 'Equate Entropy of Thresholded and Original Distributions' thresholds and omission rates:


15.809-9.752-Cumulative threshold

0.245-0.156-Logistic threshold

0.115-0.152-Fractional predicted area

0.119-0.048-Training omission rate