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Table 6 Predicted suitable areas based on three combinations of predictor variables: climatic predictors (CLIM), climatic and non-climatic predictors (CLIM + NCLIM), and all environmental predictors plus spatial filters (CLIM + NCLIM + SPAT)

From: Potential distributions of seven sympatric sclerophyllous oak species in Southwest China depend on climatic, non-climatic, and independent spatial drivers

Predictor sets

Species

Area (km2)

CLIM

Q. aquifolioides

432,203

Q. guyavaefolia

221,689

Q. longispica

238,688

Q. monimotricha

302,031

Q. pannosa

340,844

Q. senescens

316,782

Q. spinosa

362,670

CLIM + NCLIM

Q. aquifolioides

376,027

Q. guyavaefolia

198,661

Q. longispica

238,897

Q. monimotricha

223,068

Q. pannosa

288,706

Q. senescens

296,494

Q. spinosa

309,819

CLIM + NCLIM + SPAT

Q. aquifolioides

285,244

Q. guyavaefolia

118,026

Q. longispica

174,269

Q. monimotricha

214,636

Q. pannosa

248,879

Q. senescens

289,801

Q. spinosa

300,586