Florisuga mellivora

NOTES

An initial habitat suitability model generated in Maxent using all data predicted very poorly areas southeast of the Andes and therefore models were produced separately for data west and north of the Andes and data southeast of the Andes.

In our datasets there are 91 records that are very likely Bogota skins, 28 for which the coordinates assigned fall on sites with elevations above ≈ 1,800 m that was the upper altitudinal limit set to model this species, four records in Isla Gorgona off the continent and a further two records attached to localities that were not georeferenced. All these records were excluded to conduct the modelling.

Assuming that the distribution of the species may have filled the complete climatic model generated, its distribution today in remnants of forest is about 535,269 km², which corresponds to a loss of 31 % of forested areas in its potential original distribution. Nevertheless, it is important to take into account that this species favours borders and semi–open areas and therefore it might have been favoured by deforestation to certain extent.

MODEL METADATA

Data West and North of the Andes

Regularized training gain is 1.377, training AUC is 0.935, unregularized training gain is 1.789.

Algorithm terminated after 1000 iterations (42 seconds).

The follow settings were used during the run:

113 presence records used for training.

10113 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: 1000

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

ETSS-EETOD-Description