Table 5. Regression models to quantify annual rainfall interception per tree of study species

Species Regression model* r2 p N Range**
Abies holophylla lnY= —3.4548+1.5267 lnDBH 0.9350 <0.0001 234 DBH 10.0-59.8
lnY= —1.1541+1.8984 lnCW 0.9524 CW 1.6-7.3
Acer palmatum lnY= —3.8542+1.4769 lnDBH 0.9003 <0.0001 603 DBH 10.0-45.3
lnY= —2.0157+1.9777 lnCW 0.9739 CW 2.2-7.0
Ginkgo biloba lnY= —4.1479+1.7237 lnDBH 0.9243 <0.0001 269 DBH 10.0-68.0
lnY= —1.5127+1.9632 lnCW 0.9772 CW 1.5-7.6
Pinus densiflora lnY= —5.105+1.9461 lnDBH 0.9247 <0.0001 492 DBH 10.0-54.3
lnY= —1.6367+1.9852 lnCW 0.9711 CW 1.7-7.8
Pinus koraiensis lnY= —3.472+1.6281 lnDBH 0.9157 <0.0001 513 DBH 10.0-54.5
lnY= —1.0959+1.9457 lnCW 0.9646 CW 1.8-7.5
Prunus yedoensis lnY= —3.9227+1.5249 lnDBH 0.9298 <0.0001 313 DBH 10.0-90.0
lnY= —2.108+1.9814 lnCW 0.9857 CW 2.1-12.8
Zelkova serrata lnY= —2.4985+1.3769 lnDBH 0.9007 <0.0001 727 DBH 10.0-98.9
lnY= —1.3614+1.9926 lnCW 0.9888 CW 2.0-15.0
Y: Rainfall interception (m3/tree/yr).
DBH: cm, CW (Crown width): m.