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Table 5 Prediction accuracy of Swertia bimaculata distribution models

From: Predictive distribution modeling of Swertia bimaculata in Darjeeling-Sikkim Eastern Himalaya using MaxEnt: current and future scenarios

  Present Year 2050 Year 2070
  Comp. Uncor. RCP 2.6 RCP 4.5 RCP 8.5 RCP 2.6 RCP 4.5 RCP 8.5
AUC value 0.982 0.980 0.985 0.982 0.985 0.986 0.985 0.982
TSS value 0.783 0.645 0.714 0.728 0.638 0.689 0.733 0.796
Percentage of contribution Variable code BIO13 BIO18 BIO18 BIO18 BIO18 BIO18 BIO18 BIO18
Value 39.1% 40.2% 40.5% 41.2% 40.9% 40.8% 41.2% 43.3%
Permutation of importance Variable code BIO6 BIO15 ELEV ELEV ELEV ELEV ELEV ELEV
Value 53.3 26.4 50.8 42.3 49.5 39.6 48.9 45.3
Area in km2
(10th percentile training presence threshold)
451.89 869.48 84.03 238.38 48.88 3.43 147.49 0
Percentage of area
(10th percentile training presence threshold)
3.92% 7.55% 0.73% 2.07% 0.42% 0.03% 1.28% 0%
Highest probability of species occurrence 0.843 0.902 0.658 0.640 0.605 0.493 0.539 0.301