Aglaiocercus coelestis


To elaborate our model we removed uncertain localities such as 'Bogota skins', those localities with no coordinates and all records with coordinates laying down in sites with estimated elevations below 436 m and above 2,400 m.

The habitat suitability model generated in Maxent showed extensively areas suitable in climatic terms for this species across the Western and Central Andes, while in the Eastern Andes predictions were limited to the northwestern portion in Santander and also a very few areas in the head of the Magdalena Valley. Areas east of the slopes above the Cauca Valley are not known to be occupied by the species and were excluded from the potential distribution map of this hummingbird. Exception of a few areas which seem supported by some new records, those were left in our final maps but highlighting the fact they are out off limits of the known range.

Assuming that the distribution of the species may have filled the complete climatic model generated, its distribution today in remnants of forest is about 13,724 km2, which corresponds to a loss of 56 % of its potential original distribution due to deforestation.


Regularized training gain is 2.722, training AUC is 0.983, unregularized training gain is 3.049.

Algorithm terminated after 2000 iterations (77 seconds).

The follow settings were used during the run:

154 presence records used for training.

10153 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

responsecurves: true

jackknife: true

maximumiterations: 2000

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

11.248-9.212-Cumulative threshold

0.174-0.143-Logistic threshold

0.058-0.066-Fractional predicted area

0.058-0.058-Training omission rate