Aggregates in the combined model were represented as Ballistic-Cluster-Cluster Aggregates (BCCA) organicnic and Halley-like composition.
Ecological areas in the FAO model were represented by these remotely sensed data, whereas in the LM we tested actual land cover as a predictor variable.
In addition, 13 micro-endemic species, those without a niche-based model, were represented within social action areas: Bolitoglossa alberchi, B. oaxacensis, B. zapoteca, Ecnomiohyla echinata, Plectrohyla ameibothalame, P. calvicollina, P. labedactyla, Pseudoeurycea longicauda, P. mixcoatl, P. orchileucus, P. tenchalli, Thorius insperatus and Craugastor silvicola.
Seventeen of the biogeographic provinces in the Udvardy model and 50 ecoregions in the Olson model were represented by samples in our CR data set (Table S3), accounting for 100% and 81% of the provinces and ecoregions respectively in which bushbuck are known to occur.
Following this procedure, potential ORFs that spanned high-scoring matches to the splice site model were represented by multiple alternative gene models.
The results from the logistic regression model were represented as absolute risks, risk differences and risk ratios using the approach described by Norton and colleagues 25.
