Tree models Norway spruce dominated stands Mid Sweden

user_name Erik Valinger
user_organisation Swedish University of Agricultural Sciences
Faculty of Forestry
Department of Silviculture
S-901 83 Umea
Sweden
date 20th May 1997
model_name Tree characteristic model
description Describes probability of snow and wind damage at sites using tree
characteristics from the thickest sample tree at each sample plot.
software Developed in SAS 6.10 but Excel 7.0 will do
operating_system PC Windows 95
isumm There are six input variables in model.
The risk of damage is modeled using the characteristics height,
diameter, volume over bark, clear bole height, relative crown length,
and ratio of height to diameter at breast height.
Valid only for Norway spruce in mid Sweden.
Ispecfile Similar to that for earlier Umea models
iexpspecfile n/a
ivar1 Height, h
ifile1 ?
idescr1 m
isensitiv1 Sensitive
isensdescr1 Logistic procedure
ivar2 Diameter at breast height, dbh
ifile2 ?
idescr2 cm
isensitiv2 Sensitive
isensdescr2 Logistic procedure
ivar3 Volume over bark, v
ifile3 ?
idescr3 m3
isensitiv3 Sensitive
isensdescr3 Logistic procedure
ivar4 Clear bole height, cbh
ifile4 ?
idescr4 m
isensitiv4 Sensitive
isensdescr4 Logistic procedure
ivar5 Relative crown length, rcl
ifile5 ?
idescr5 proportion (0 to 1)
isensitiv5 Sensitive
isensdescr5 Logistic procedure
ivar6 Ratio of height to diameter at breast height, rhd
ifile6 ?
idescr6 m/cm
isensitiv6 Sensitive
isensdescr6 Logistic procedure
csumm height, h 0.1680
diameter, dbh -0.1192
volume over bark, v +1.2076
clear bole height, cbh -0.7248
relative crown length, rcl -10.2995
Ratio of height to diameter at breast height, rhd -5.2201
Model mtprob=1-(1/(1+exp(11.2908+(0.1680*h)-(0.1192*dbh)
+(1.2076*v)-(0.7248*cbh)-(10.2995*rcl)-(5.2201*rhd))))
(then multiply by 100 to get the result in percent)
cspecfile None
cexpspecfile none
osumm mgran
ospecfile ?
oexpspecfile See above
ovar1 mtprob
ofile1 ?
odescr1 Site probability of snow and wind damage
stat_meth Logistic procedure for probability of damage from snow and wind
at a site using tree characteristics when dominating species is Norway spruce
Chi-square for covariates
244.483 with 6 DF (p=0.0001)
Pr > Chi-square
Intercept 0.0001
h 0.0001
dbh 0.0001
v 0.0001
cbh 0.0001
rcl 0.0001
rhd 0.0001
mech_meth n/a
log_meth Logistic model
Model mtprob=1-(1/(1+exp(11.2908+(0.1680*h)-(0.1192*dbh)+(1.2076*v)
-(0.7248*cbh)-(10.2995*rcl)-(5.2201*rhd))))
(then the result is multiplied by 100 to get it in percent)
scope Model developed from a sample of data from mid Sweden (579 sample plots).
6.1% of the plots had one or more damaged sample trees, damage=1.
Model have been proven to predict damage well by cross-validation
other ?
copyright Swedish University of Agricultural Sciences
Faculty of Forestry
Department of Silviculture
contact Associate Professor Erik Valinger