Table 3. Relative contribution of each environmental variable (contributions larger than 1%) to the Maxent model.
Variable | Percent contribution | Permutation importance |
---|---|---|
Percentage of bare soil | 44.9 | 13.7 |
Percentage urban | 13.5 | 8 |
Water distribution | 11.6 | 19.1 |
Nbrt_temp | 5.7 | 1.1 |
Percentage for pasture | 5.2 | 11 |
Indec_percentage water | 4.7 | 4.1 |
Bare soil distribution | 4.3 | 4 |
Urban distribution | 1.7 | 2.7 |
Hot points distributions | 1.3 | 6.6 |
Percentage of low vegetation | 1.2 | 3.9 |
Swir SPOT | 1 | 0 |
Percent contribution: in each iteration of the training algorithm, the increase in regularized gain is added to the contribution of the corresponding variable. Permutation importance: for each environmental variable in turn, the values of that variable on training presence and background data are randomly permuted.