Fig 1.
Occurrence points of wheat, rice and soybean in East Asia region.
Occurrence points Data were accessed from GBIF.org (https://www.gbif.org/occurrence/search) database. GBIF = Global Biodiversity Information Facility.
Fig 2.
Flowchart summarizing the processing methodology used in this study.
Table 1.
Bioclimatic environmental variables used in MaxEnt model.
Table 2.
Wheat correlation analysis results of the bioclimatic environmental variables.
Table 3.
Soybean correlation analysis results of the bioclimatic environmental variables.
Table 4.
Rice correlation analysis results of the bioclimatic environmental variables.
Fig 3.
Receiver operating characteristic (ROC) curve and AUC value under the current (1970–2000) period (10 replicated runs).
Fig 4.
Results of Jackknife regularized training grain test of the MaxEnt model for evaluating the relative importance of bioclimatic environmental variables for wheat, soybean and rice occurrence.
Fig 5.
Results of Jackknife AUC test of the MaxEnt model for evaluating the relative importance of bioclimatic environmental variables for wheat, soybean and rice occurrence.
Table 5.
Primary contribution percent and permutation importance of the bioclimatic environmental variables impacting on wheat distribution (%) to the simulation results of the MaxEnt model.
Table 6.
Primary contribution percent and permutation importance of the bioclimatic environmental variables impacting on soybean distribution (%) to the simulation results of the MaxEnt model.
Table 7.
Primary contribution percent and permutation importance of the bioclimatic environmental variables impacting on rice distribution (%) to the simulation results of the MaxEnt model.
Fig 6.
Potential geographic suitable habitat distribution for wheat, soybean and rice production under current (1970–2000) and future (SSP585, 2021–2040; SSP585, 2041–2060) climatic scenarios conditions in East Asia.
Table 8.
Changes in land suitability for wheat, soybean and rice under the current and future (SSP585; 2021–2040; 2021–2060) climatic conditions.
Fig 7.
Wheat (Triticum_Aestivum) response curves derived from MaxEnt model showing the influence of bioclimatic environmental variables; Bio_01, Bio_04, Bio_06, Bio_09, Bio_12, and Bio_19 in East Asia.
Fig 8.
Soybean (Glycine_Max) response curves derived from MaxEnt model showing the influence of bioclimatic environmental variables; Bio_01, Bio_03, Bio_09, Bio_10, Bio_12, and Bio_15 in East Asia.
Fig 9.
Rice (Oryza_Sativa) response curves derived from MaxEnt model showing the influence of bioclimatic environmental variables; Bio_02, Bio_09, Bio_12, Bio_14, Bio_17, and Bio_18 in East Asia.