Fig 1.
Depiction of core procedures used in this review process such as the identification of records from different sources (databases and registers), removal of records, screening, and the inclusion of the remaining reports.
Table 1.
Percent Contribution and Permutation Importance of Selected Environmental Variables for the Suitability of Bp in SEA Countries.
Fig 2.
Occurrence points found in geographical ranges in SEA for Bp (Plotted in red).
The base map layer was obtained from the publicly available database of Global Administrative Area (GADM) under the license of https://gadm.org/license.html. The figure was created using QGIS (www.qgis.org).
Fig 3.
The illustration graph of the area under the curve (AUC) value (0.882) indicates a strong predictive model efficiency.
Fig 4.
Illustration graphs of response curve for Bp.
(A) annual precipitation (Bio12) and (B) mean temperature of wettest quarter (Bio8). Values within the highlighted region (green) contribute to high and very high suitability.
Fig 5.
Illustration graph of response of Bp to Soil Type (Biocateg1).
Values within the highlighted region (green) contribute to high (≥0.6) to very high suitability (≥0.8). (1) Acrisol, (2) Cambisol, (3) Leptosol, (4) Gleysol, (5) Fluvisol, (6) Luvisol, (7) Lixisol, (8) Nitisol, (9) Andosol, (10) Solonchak, (11) Arenosol, (12) Vertisol, (13) Plinthosol, (14) Ferrosol, (15) Calcisol, (16) Histosol, (17) Podzol, and (18) Water Bodies.
Fig 6.
Generated MaxEnt model predicting the possible distribution of Bp in SEA.
Dark green = very low suitability (0–0.19); light green = low suitability (0.2–0.39); yellow = moderate suitability (0.4–0.59); orange = high suitability (0.6–0.79) and red = very high suitability (0.8–1). The base map layer was obtained from the publicly available database of Global Administrative Area (GADM) under the license of https://gadm.org/license.html. The figure was created using ARCGIS.