Tinamus osgoodi

The habitat suitability model generated in Maxent showed several areas that might be possibly occupied by this species mostly in the Central and Western Andes and a few in the Eastern Andes.

There are two sighting records from Anori in Antioquia, which we did not include in the elaboration of the model. Interestingly, the inclusion of these two records increase greatly the prediction of suitable areas in all the three cordilleras and even in the Sierra Nevada de Santa Marta, which may be rather unlikely. The only specimens collected for the country come from the extreme south Andean region in Huila and belong to the subspecies hershkovitzi. The distribution of the species in Colombia is extremely unknown.

Assuming that the distribution of the species may have filled the complete climatic model generated, its distribution today in remnants of forest is about 23,867 km2, which corresponds to a loss of 62 % of its potential original distribution due to deforestation.


Regularized training gain is 1.785, training AUC is 0.978, unregularized training gain is 2.388.

Algorithm converged after 180 iterations (1 seconds).

The follow settings were used during the run:

2 presence records used for training.

10002 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: 0.620, threshold: 1.980, 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:


52.575-10.315-Cumulative threshold

0.586-0.144-Logistic threshold

0.03-0.168-Fractional predicted area

0-0-Training omission rate