This species is very poorly known in Colombia with very few records and just one specimen collected by Gualdron et al. in Alto Barrigonal in 1980 and deposited in the collection of IAvH (2015). To elaborate the model, we used just one record from Hilty & Brown (1986) from cerro Tacarcuna, which was located in the Colombian side some 6/100 of a degree to the east from its approximate geographic centre in Panama; and the record related to the only skin collected, which received coordinates following Voss (2014, Checklist 10).
The habitat suitability model generated in Maxent predicted a few areas to the east in the Andes, and also in the adjacent lower areas to serrania del Darien, which are not known to be occupied by this wood-quail and were trimmed off from the final version of our potential distribution map. Additionally, we trimmed off areas below 700 m and above 1,450 m. The implied elevational range is wider than the one reported by Hilty & Brown (1986) and McMullan & Donegan (2014) for this species (1,200-1400 m). However, we consider that, the range between 700-1,450 m, might be possible since other sources point out to elevations between 1,050-1,450 m (BirdLife, 2015), and in any case it adds very few areas in Colombia. Additionally, it is interesting to note that there are a few areas suitable in climatic terms in the southern portion of serrania del Pirre (south of s. del Darien), from where there are no known records, but where the species might be looked for to confirm its presence/absence.
Assuming that the distribution of the species may have filled the areas predicted as suitable (i.e. marginally suitable, suitable and highly suitable) in serrania del Darien, its potential distribution today in remnants of forest is about 124 km2, which corresponds to a loss of ≈ 8 % of its potential original distribution due to deforestation. Despite most of the geographical distribution of this species is in Panama, its range in Colombia is extremely small and its ecology unknown, and therefore the species must be considered of medium research/conservation priority if it is desired to maintain its populations within the territory of Colombia.
Regularized training gain is 3.677, training AUC is 0.999, unregularized training gain is 5.053.
Algorithm converged after 540 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
'Equal Training Sensitivity and Specificity' and 'Equate Entropy of Thresholded and Original Distributions' thresholds and omission rates:
0.002-0.025-Fractional predicted area
0-0-Training omission rate