Leucippus chlorocercus


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 above 300 m.

The habitat suitability model generated in Maxent showed areas suitable in climatic terms for this species in the Amazon 'Trapecio', extreme northeast Colombia in Norte de Santander, and a few sparse areas west of the Andes. These areas are not known to be occupied by the species and were excluded from the potential distribution map of this hummingbird.

McMullan & Donegan (2014), report the species present in the Putumayo river islands and are not certain if present in the Amazon river. I think that possibly this is a mistake since other sources point to the fact that the species is present in the Amazon river and its tributaries (BioMap 2016, EBIRD 2016, HBW Alive 2017).


Regularized training gain is 3.602, training AUC is 0.998, unregularized training gain is 5.206.

Algorithm converged after 740 iterations (2 seconds).

The follow settings were used during the run:

3 presence records used for training.

10003 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: 0.605, threshold: 1.970, hinge: 0.500

Feature types used: linear

responsecurves: true

jackknife: true

maximumiterations: 2000

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


51.327-14.391-Cumulative threshold

0.558-0.130-Logistic threshold

0.004-0.027-Fractional predicted area

0.000-0.000-Training omission rate