Pauxi pauxi


Coordinates from the accessions 368539 and 372405 in BioMap from Carraipia and Eroca were moved slightly (centecimals of a degree) to the west and south respectively to make the localities lay down in sites fitting better the elevation specified in each record. Additionally, we added during the modelling exercise one more locality representing at least one sighting in ProAves reserve 'Reserva Natural de las Aves Pauxi pauxi' (Santander).

The habitat suitability model generated in Maxent showed little specificity, exhibiting extensive areas that are suitable in climatic terms for this species along the Andes, the Caribbean and even in the Pacific and Orinoco regions. Thus, for our potential distribution map we just Left areas in the Eastern Andes from Santander and Arauca to the north (incl. serrania de Perija). Additionally, we included the eastern slope of Sierra Nevada de Santa Marta by geographic proximity. Nonetheless, we also elaborated a restricted version of this distribution when we overlapped it with forested areas in Colombia, trimming off areas in Sierra Nevada de Santa Marta and south of Yariguies in Santander.

Assuming that the distribution of the species may have filled the areas predicted as suitable (i.e. marginally suitable, suitable and highly suitable) in its most likely area of distribution (restricted model), its potential distribution today in remnants of forest is about 12,977 km2, which corresponds to a loss of ≈ 59 % of its potential original distribution due to deforestation.

According to Mcmullan & Donegan (2014) in Yariguies exists the nominate subspecies. Nevertheless, there are no specimens collected confirming this assumption. On the other hand, it is interesting to note that there is gap of records in between Perija and most of Norte de Santander, in areas that apparently have suitable habitat for this species; it is necessary to explore those regions in search of this curassow. This curassow is mostly distributed in the Andes of Venezuela (HBW Alive, 2015) and the areas where it has been registered or possibly occurs in Colombia represents the outermost portion of its distribution to the west, making it apparently a very rare species in Colombian territory.


Regularized training gain is 0.305, training AUC is 0.878, unregularized training gain is 0.718.

Algorithm converged after 80 iterations (0 seconds).

The follow settings were used during the run:

7 presence records used for training.

10007 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: 0.545, threshold: 1.930, hinge: 0.500

Feature types used: linear

responsecurves: true

jackknife: true

askoverwrite: false

maximumiterations: 2000

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


50.6-8.787-Cumulative threshold

0.505-0.242-Logistic threshold

0.213-0.736-Fractional predicted area

0.143-0-Training omission rate