Fig 1.
The flowchart of the modeling process of S. marianum habitat and its production.
Fig 2.
The research area’s location in Iran’s Fars province.
Fig 3.
Identification and collection of S. marianum in the study area (Taken photo by SX710 HS Canon Camera, Mahbobe Hojati).
Fig 4.
Effective factors on the growth and development of S. marianum: “slope aspect” (A), “DEM (m)” (B), “slope angle” (C), “plan curvature” (D), “clay percent” (E), “sand percent” (F), “silt percent” (G), “carbon percent” (H), “pH” (I), “Nitrogen percent” (J), “mean annual rainfall (mm)” (K), “mean annual temperature (°C)” (L), “distance from rivers (m)” (M), and “distance from road (m)” (N).
Fig 5.
Procedure of measuring secondary metabolites (Silymarin).
Table 1.
The co-linear of factors by TOl and VIF.
Table 2.
Distribution percentage of habitat suitability of Silybum marianum in Fars province.
Fig 6.
Habitat suitability of Silybum marianum using RF(A), BRT (B), and (C) models and silymarin.
Table 3.
Percentage change in quality of silymarin in Fars province.
Fig 7.
Modeling of changing silymarin quality by RF.
Table 4.
Choosing the best model by AUC.
Fig 8.
Determining the importance of factors in quantitative modeling by the RF algorithm.
Fig 9.
Determining the importance of factors in qualitative modeling by the RF algorithm.