Table S4.

Characteristics of outputs and predictor variables for Maxent models of ADEs (ADE model), geoglyphs (G model), and archaeological-paleoecological sites (A-P model)

Maxent model feature	ADE model	G model	A-P model
Occurrence points	917	255	63
Training AUC	0.96	0.99	0.95
Testing AUC	0.96	0.98	0.86
Predictor variables, permutation importance, %
BIO3 = isothermality (BIO2/BIO7) (* 100)	1.2	0.5	0
BIO4 = temperature seasonality (SD *100)	0.4	2.8	9
BIO6 = minimum temperature of coldest month	2.7	0	0.2
BIO9 = mean temperature of driest quarter	2.4	2.4	0.5
BIO13 = precipitation of wettest month	0.6	0.1	0
BIO14 = precipitation of driest month	2.7	0.2	7
BIO15 = precipitation seasonality (coefficient of variation)	3.4	0.2	0.9
BIO16 = precipitation of wettest quarter	0.6	0.1	0.1
BIO17 = precipitation of driest quarter	0.1	8.3	4.2
Elevation	61.5	0.2	2.5
Roughness	0.7	0.3	0
Distance to roughness >25 m	4.8	2.6	2.7
Distance to roughness >50 m	0.8	0.5	16.8
Geological province (polygon)	5.6	0.1	25
Distance to river	4.6	NA	6.2
Size of nearest river	0.8	NA	2.6
Distance to bamboo forest	NA	79.7	6
Subsoil cation exchange content	0.1	0.7	13.8
Subsoil gravel	1.9	0.1	0.5
Subsoil organic carbon	2.6	0	0
Subsoil pH	0.5	0	0
Subsoil reference bulk density	1	0	0.1
Topsoil organic carbon	0.2	0.4	2

AUC scores represent model performance, and the permutation importance of each variable from the Maxent model output is reported. Further details and references for each predictor variable are provided in SI Methods.