Table 2. Estimation of resulting differences when using MaxEnt’s default parameters or a best model approach for modelling species distribution.
Spatial correlation values are based in the spatial correlation analysis of MaxEnt’s logistic output. Fuzzy kappa was calculated after applying the 10 percentile training presence logistic threshold to generate the species distribution maps. Area values are based on binary maps generated after applying the 10 percentile training presence logistic threshold. Best model parameters represent the combination of feature classes and regularization multipliers of the model identified as of best performance for each study case.
Sample size | Spatial correlation | Fuzzy Kappa | Area (Km2) | Area (Km2) | Shared/not shared ratio | Best model parameters | Source | ||
---|---|---|---|---|---|---|---|---|---|
Default | Best model | Shared | Not shared | ||||||
7 | 0.856 | 0.864 | 144,129 | 447,092 | 142,612 | 0.466 | 0.466 | T2 | Carvalho & Lama (2015) |
8 | 0.957 | 0.799 | 76 | 66 | 66 | 6.600 | 6.600 | Q5 | Fois et al. (2015) |
9 | 0.905 | 0.797 | 15,907 | 9,771 | 9,212 | 1.270 | 1.270 | LQP5 | Chunco et al. (2013) |
10 | 0.943 | 0.781 | 861 | 1,939 | 843 | 0.758 | 0.758 | Q1 | Alfaro-Saiz et al. (2015) |
11 | 0.992 | 0.943 | 122,415 | 149,775 | 121,283 | 4.094 | 4.094 | L1 | Chetan, Praveen & Vasudeva (2014) |
12 | 0.983 | 0.841 | 428,209 | 551,196 | 425,674 | 3.324 | 3.324 | L2 | Palmas-Pérez et al. (2013) |
12 | 0.836 | 0.906 | 175,166 | 174,543 | 156,798 | 4.342 | 4.342 | TQ5 | Pedersen et al. (2014) |
13 | 0.960 | 0.843 | 33,421 | 26,169 | 24,317 | 2.219 | 2.219 | TQ2 | Alamgir, Mukul & Turton (2015) |
13 | 0.995 | 0.965 | 22,013 | 26,445 | 21,820 | 4.528 | 4.528 | LQ1 | Mweya et al. (2013) |
14 | 0.948 | 0.916 | 363 | 907 | 353 | 0.625 | 0.625 | LQP1 | Meyer, Pie & Passos (2014) |
15 | 0.967 | 0.900 | 5,004 | 8,845 | 4,991 | 1.291 | 1.291 | QH2 | Urbani et al. (2015) |
16 | 0.769 | 0.652 | 13,466 | 28,948 | 12,848 | 0.768 | 0.768 | LQPT5 | De Castro Pena et al. (2014) |
26 | 0.865 | 0.847 | 5,655,316 | 7,383,714 | 5,003,914 | 1.651 | 1.651 | QP1 | Chłond, Bugaj-Nawrocka & Junkiert (2015) |
26 | 0.945 | 0.705 | 32,020 | 36,420 | 28,695 | 2.597 | 2.597 | L2 | Simo et al. (2014) |
31 | 0.937 | 0.879 | 243,764 | 248,513 | 196,113 | 1.960 | 1.960 | PT1 | Orr et al. (2014) |
49 | 0.962 | 0.880 | 135,239 | 103,330 | 100,192 | 2.624 | 2.624 | PT1 | Hu & Liu (2014) |
54 | 0.945 | 0.858 | 2,491,722 | 1,723,084 | 1,598,103 | 1.569 | 1.569 | LQPT1 | Conflitti et al. (2015) |
55 | 0.841 | 0.863 | 1,649,518 | 1,570,127 | 1,362,351 | 2.753 | 2.753 | TQ2 | Vergara & Acosta (2015) |
58 | 0.827 | 0.862 | 5,822,694 | 5,37,0521 | 4,439,531 | 1.918 | 1.918 | T1 | Aguiar et al. (2015) |
76 | 0.934 | 0.858 | 3,904,018 | 3,700,108 | 3,406,765 | 4.309 | 4.309 | TQ1 | Yu et al. (2014) |