1.Tree models Scots pine dominated stands in Northern 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 five input variables in model. The risk of damage is modeled using the characteristics volume over bark, clear bole height, relative crown length, breast height taper, and ratio of height to diameter at breast height. Valid only for Scots pine in north Sweden. |
| Ispecfile | Similar to that for earlier Umea models |
| iexpspecfile | n/a |
| ivar1 | Volume over bark (v) |
| ifile1 | ? |
| idescr1 | m3 |
| isensitiv1 | Sensitive |
| isensdescr1 | Logistic procedure |
| ivar2 | Clear bole height (cbh) |
| ifile2 | ? |
| idescr2 | Height to living crown, m |
| isensitiv2 | Sensitive |
| isensdescr2 | Logistic procedure |
| ivar3 | Relative crown length (rcl) |
| ifile3 | ? |
| idescr3 | proportion (0 to 1) |
| isensitiv3 | Sensitive |
| isensdescr3 | Logistic procedure |
| ivar4 | Breast height taper (brt) |
| ifile4 | ? |
| idescr4 | Diameter at breast height/height-1.3, cm/m |
| isensitiv4 | Sensitive |
| isensdescr4 | Logistic procedure |
| ivar5 | Ratio height to diameter at breast height (rhd) |
| ifile5 | ? |
| idescr5 | m/cm |
| isensitiv5 | Sensitive |
| isensdescr5 | Logistic procedure |
| csumm | Volume over bark 1.2052 Clear bole height -0.3210 Relative crown length -3.2955 Breast height taper 1.0413 Ratio height to diameter at breast height 4.2336 |
| Model | ntprob=1-(1/(1+exp(-5.1597+(1.2052*v)-(0.3210*cbh)-(3.2955*rcl) +(1.0413*brt)+(4.2336*rhd)))) (then multiply by 100 to get the result in percent) |
| cspecfile | None |
| cexpspecfile | none |
| osumm | ntall |
| ospecfile | ? |
| oexpspecfile | See above |
| ovar1 | ntprob |
| 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 Scots pine Chi-square for covariates 107.005 with 5 DF (p=0.0001) Pr > Chi-square Intercept 0.0002 v 0.0001 cbh 0.0001 >rcl 0.0002 brt 0.0001 rthd 0.0001 |
| mech_mth | n/a |
| log_meth | Logistic model ntprob=1-(1/(1+exp(-5.1597+(1.2052*v)-(0.3210*cbh)-3.2995*rcl)+ (1.0413*brt) +(4.2336*rhd)))) (then the result multiplied by 100 to get in percent) |
| scope | Model developed from a sample of data from whole Sweden (1114 sample
plots). 2% 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 |
2.Tree models Scots pine 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 five input variables in model. The risk of damage is modeled using the characteristics height, diameter, volume over bark, crown length, and breast height taper. Valid only for Scots pine 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) |
| ifile1 | ? |
| idescr1 | m3 |
| isensitiv1 | Sensitive |
| isensdescr1 | Logistic procedure |
| ivar4 | Crown length (crl) |
| ifile4 | ? |
| idescr4 | m |
| isensitiv4 | Sensitive |
| isensdescr4 | Logistic procedure |
| ivar5 | Breast height taper (brt) |
| ifile5 | ? |
| idescr5 | diameter at breast height/height-1.3, cm/m |
| isensitiv5 | Sensitive |
| isensdescr5 | Logistic procedure |
| csumm | Height, h -05142, Diameter, dbh 0.4928 Volume over bark, v -6.1137 Crown length, crl 0.1390 Breast height taper, brt -3.1137 Model: mtprob=1-(1/(1+exp(-1.2942-(0.5142*h)+(0.4928*dbh) -(6.1137*v)+(0.1390*crl)-(3.1137*brt)))) (then multiply by 100 to get the result in percent) |
| cspecfile | None |
| cexpspecfile | none |
| osumm | mtall |
| 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 Scots pine Chi-square for covariates 166.717 with 5 DF (p=0.0001) Pr > Chi-square Intercept 0.3541 h 0.0001 dbh 0.0001 v 0.0001 crl 0.0001 brt 0.0001 mech_meth n/a log_meth Logistic model mtprob=1-(1/(1+exp(-5.1597+(1.2052*v)-(0.3210*cbh) -(3.2955*rcl)+(1.0413*brt)+(4.2336*rhd)))) (then the result is multiplied by 100 to get it in percent) |
| scope | Model developed from a sample of data from mid Sweden (745 sample plots). 2.2% 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 |
3.Tree models Scots pine dominated stands Southern 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 three input variables in model. The risk of damage is modeled using the characteristics volume over bark, relative crown length, and ratio of height to diameter at breast height. Valid only for Scots pine in south Sweden. |
| Ispecfile | Similar to that for earlier Umea models |
| iexpspecfile | n/a |
| ivar1 | Volume over bark (v) |
| ifile1 | ? |
| idescr1 | m3 |
| isensitiv1 | Sensitive |
| isensdescr1 | Logistic procedure |
| ivar2 | Relative crown length (rcl) |
| ifile2 | ? |
| idescr2 | proportion (0 to 1) |
| isensitiv2 | Sensitive |
| isensdescr2 | Logistic procedure |
| ivar3 | Ratio of height to diameter at breast height (rhd) |
| ifile3 | ? |
| idescr3 | m/cm |
| isensitiv3 | Sensitive |
| isensdescr3 | Logistic procedure |
| csumm | Volume over bark, v -0.7269 Relative crown length, rcl -2.2153 Ratio of height to diameter at breast height, rhd -4.5333 Model stprob=1-(1/(1+exp(0.8633-(0.7269*v)-(2.2153*rcl)-(4.5333*rhd)))) (then multiply by 100 to get the result in percent) |
| cspecfile | None |
| cexpspecfile | none |
| osumm | stall |
| ospecfile | ? |
| oexpspecfile | See above |
| ovar1 | stprob |
| 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 Scots pine
Chi-square for covariates 176.398 with 3 DF (p=0.0001) Pr > Chi-square Intercept 0.0122 v 0.0001 rcl 0.0001 rhd 0.0001 |
| mech_meth | n/a |
| log_meth | Logistic model Model stprob=1-(1/(1+exp(0.8633-(0.7269*v)-(2.2153*rcl)-(4.5333*rhd)))) (then the result is multiplied by 100 to get it in percent) |
| scope | Model developed from a sample of data from south Sweden (1187 sample
plots). 3.0% 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 |
4. Tree models Norway spruce dominated stands Northern
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 three input variables in model. The risk of damage is modeled using the characteristics relative crown length, upper taper, and ratio of height to diameter at breast height. Valid only for Norway spruce in north Sweden. |
| Ispecfile | Similar to that for earlier Umea models |
| iexpspecfile | n/a |
| ivar1 | Relative crown length, rcl |
| ifile1 | ? |
| idescr1 | proportion (0 to 1) |
| isensitiv1 | Sensitive |
| isensdescr1 | Logistic procedure |
| ivar2 | upper taper, ut |
| ifile2 | ? |
| idescr2 | upper diameter/height-height to upper diameter, cm/m |
| isensitiv2 | Sensitive |
| isensdescr2 | Logistic procedure |
| ivar3 | Ratio of height to diameter at breast height, rhd |
| ifile3 | ? |
| idescr3 | m/cm |
| isensitiv3 | Sensitive |
| isensdescr3 | Logistic procedure |
| csumm | Relative crown length, rcl -1.6554 Upper taper, ut 0.1827 Ratio of height to diameter at breast height, rhd -1.2577 |
| Model | ntprob=1-(1/(1+exp(-1.4308-(1.6554*rcl)+(0.1827*ut)-(1.2577*rhd)))) (then multiply by 100 to get the result in percent) |
| cspecfile | None |
| cexpspecfile | none |
| osumm | ngran |
| ospecfile | ? |
| oexpspecfile | See above |
| ovar1 | ntprob |
| 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 68.979 with 3 DF (p=0.0001) Pr > Chi-square Intercept 0.0030 rcl 0.0001 ut 0.0004 rhd 0.0003 |
| mech_meth | n/a |
| log_meth | Logistic model Model ntprob=1-(1/(1+exp(-1.4308-(1.6554*rcl)+(0.1827*ut)-(1.2577*rhd)))) (then the result is multiplied by 100 to get it in percent) |
| scope | Model developed from a sample of data from north Sweden (929 sample
plots). 3.7% 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 |
5. 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 |
6. Tree models Norway spruce dominated stands Southern
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 three input variables in model. The risk of damage is modeled using the characteristics low taper, breast height taper, and ratio of height to diameter at breast height. Valid only for Nprway spruce in south Sweden. |
| Ispecfile | Similar to that for earlier Umea models |
| iexpspecfile | n/a |
| ivar1 | Low taper (t) |
| ifile1 | ? |
| idescr1 | Diameter at stump height/height to upper diameter, cm/m |
| isensitiv1 | Sensitive |
| isensdescr1 | Logistic procedure |
| ivar2 | Breast height taper (brt) |
| ifile2 | ? |
| idescr2 | diameter at breast height/height-1.3, cm/m |
| isensitiv2 | Sensitive |
| isensdescr2 | Logistic procedure |
| ivar3 | Ratio of height to diameter at breast height (rhd) |
| ifile3 | ? |
| idescr3 | m/cm |
| isensitiv3 | Sensitive |
| isensdescr3 | Logistic procedure |
| csumm | low taper, t 0.1436 breast height taper, brt 1.1971 Ratio of height to diameter at breast height, rhd 3.0594 |
| Model | stprob=1-(1/(1+exp(-7.8283+(0.1436*t)+(1.1971*brt)+(3.0594*rhd)))) (then multiply by 100 to get the result in percent) |
| cspecfile | none |
| cexpspecfile | none |
| osumm | sgran |
| ospecfile | ? |
| oexpspecfile | See above |
| ovar1 | stprob |
| 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 31.534 with 3 DF (p=0.0001) Pr > Chi-square Intercept 0.0001 t 0.0001 brt 0.0001 rhd 0.0001 |
| mech_meth | n/a |
| log_meth | Logistic model Model stprob=1-(1/(1+exp(-7.8283+(0.1436*t)+(1.1971*brt)+(3.0594*rhd)))) (then the result is multiplied by 100 to get it in percent) |
| scope | Model developed from a sample of data from mid Sweden (1678 sample
plots). 3.3% 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 |
7. Tree models Birch dominated stands Whole 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 four input variables in model. The risk of damage is modeled using the characteristics diameter, clear bole height, relative crown length, and ratio of height to diameter at breast height. Valid only for Birch in whole Sweden. |
| Ispecfile | Similar to that for earlier Umea models |
| iexpspecfile | n/a |
| ivar1 | Diameter at breast height (dbh) |
| ifile1 | ? |
| idescr1 | cm |
| isensitiv1 | Sensitive |
| isensdescr1 | Logistic procedure |
| ivar2 | Clear bole height (cbh) |
| ifile2 | ? |
| idescr2 | m |
| isensitiv2 | Sensitive |
| isensdescr2 | Logistic procedure |
| ivar3 | Relative crown length (rcl) |
| ifile3 | ? |
| idescr3 | proportion (0 to 1) |
| isensitiv3 | Sensitive |
| isensdescr3 | Logistic procedure |
| ivar4 | Ratio of height to diameter at breast height (rhd) |
| ifile4 | ? |
| idescr4 | m/cm |
| isensitiv4 | Sensitive |
| isensdescr4 | Logistic procedure |
| csumm | diameter, dbh 0.0167 clear bole height, cbh -0.9561 relative crown length, rcl -9.5631 Ratio of height to diameter at breast height, rhd 3.8522 Model wtprob=1-(1/(1+exp(1.6356+(0.1067*dbh)-(0.9561*cbh) -(9.5631*rcl)+(3.8522*rhd)))) (then multiply by 100 to get the result in percent) |
| cspecfile | None |
| cexpspecfile | none |
| osumm | wbirch |
| ospecfile | ? |
| oexpspecfile | See above |
| ovar1 | wtprob |
| 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 Birch Chi-square for covariates 181.857 with 4 DF (p=0.0001) Pr > Chi-square Intercept 0.0840 dbh 0.0001 cbh 0.0001 rcl 0.0001 rhd 0.0001 |
| mech_meth | n/a |
| log_meth | Logistic model Model wtprob=1-(1/(1+exp(1.6356+(0.1067*dbh)-(0.9561*cbh)-(9.5631*rcl) +(3.8522*rhd)))) (then the result is multiplied by 100 to get it in percent) |
| scope | Model developed from a sample of data from whole Sweden (498 sample
plots). 2.0% 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 |
8. Integrated models Scots pine dominated stands Northern
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 | Integrated model |
| description | Describes probability of snow and wind damage at sites using tree, stand, and site characteristics from the thickest sample tree at each sample plot, and measured stand and site data from the same plot. |
| software | Developed in SAS 6.10 but Excel 7.0 will do |
| operating_system | PC Windows 95 |
| isumm | There are seven input variables in model. The risk of damage is modeled using the characteristics mean diameter at breast height, longitude, latitude, altitude, proportion of Norway spruce, stand age, and site index. Valid only for Scots pine in north Sweden. |
| Ispecfile | Similar to that for earlier Umea models |
| iexpspecfile | n/a |
| ivar1 | Mean diameter at breast height (mdia) |
| ifile1 | ? |
| idescr1 | cm |
| isensitiv1 | Sensitive |
| isensdescr1 | Logistic procedure |
| ivar2 | Longitude (long) |
| ifile2 | ? |
| idescr2 | degrees |
| isensitiv2 | Sensitive |
| isensdescr2 | Logistic procedure |
| ivar3 | Latitude (lat) |
| ifile3 | ? |
| idescr3 | degrees |
| isensitiv3 | Sensitive |
| isensdescr3 | Logistic procedure |
| ivar4 | Altitude (alt) |
| ifile4 | ? |
| idescr4 | m |
| isensitiv4 | Sensitive |
| isensdescr4 | Logistic procedure |
| ivar5 | Proportion of spruce (pns) |
| ifile5 | ? |
| idescr5 | Percentage. Maximum value is 30% |
| isensitiv5 | Sensitive |
| ivar6 | Stand age (age) |
| ifile6 | n/a |
| idescr6 | years |
| isensitiv6 | Sensitive |
| ivar7 | Site index (SI) |
| ifile7 | ? |
| idescr7 | m |
| isensitiv7 | Sensitive |
| csumm | mean diameter, mdia 0.0702 longitude, long 0.5557 latitude, lat -0.8426 altitude, alt 0.00417 proportion of spruce, pns 0.0337 stand age, age -0.0237 site index, SI -0.0519 |
| Model | niprob=1-(1/(1+exp(40.9407+(0.0702*mdia)+(0.0.5557*long) -(0.8426*lat)+(0.00417*alt)+(0.0337*pns)-(0.0237*age)-(0.0519*SI)))) (then multiply by 100 to get the result in percent) |
| cspecfile | None |
| cexpspecfile | none |
| osumm | ntall |
| ospecfile | ? |
| oexpspecfile | See above |
| ovar1 | niprob |
| 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, stand, and site characteristics when dominating species is Scots pine Chi-square for covariates 288.584 with 7 DF (p=0.0001) Pr > Chi-square Intercept 0.0001 mdia 0.0001 long 0.0001 lat 0.0001 alt 0.0001 pns 0.0001 age 0.0001 SI 0.0001 |
| mech_meth | n/a |
| log_meth | Logistic model Model niprob=1-(1/(1+exp(40.9407+(0.0702*mdia)+(0.0.5557*long) -(0.8426*lat)+(0.00417*alt)+(0.0337*pns)-(0.0237*age)-(0.0519*SI)))) (then the result is multiplied by 100 to get it in percent) |
| scope | Model developed from a sample of data from north Sweden (1114 sample
plots) 2.0% 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 |
9. Integrated models Scots pine 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 |
| Date | 21th May 1997 |
| model_name | Integrated model description Describes probability of snow and wind damage at sites using tree, stand, and site characteristics from the thickest sample tree at each sample plot, and measured stand and site data from the same plot. |
| software | Developed in SAS 6.10 but Excel 7.0 will do |
| isumm | There are five input variables in model. The risk of damage is modeled using the characteristics clear bole height, latitude, stems ha-1, mean height, and altitude. Valid only for Scots pine in north Sweden. |
| Ispecfile | Similar to that for earlier Umea models |
| iexpspecfile | n/a |
| ivar1 | Clear bole height (cbh) |
| ifile1 | ? |
| idescr1 | height to living crown, m |
| isensitiv1 | Sensitive |
| isensdescr1 | Logistic procedure |
| ivar2 | Latitude (lat) |
| ifile2 | ? |
| idescr2 | degrees |
| isensitiv2 | Sensitive |
| isensdescr2 | Logistic procedure |
| ivar3 | stems ha-1 (sha) |
| ifile3 | ? |
| idescr3 | number of stems ha-1 |
| isensitiv3 | Sensitive |
| isensdescr3 | Logistic procedure |
| ivar4 | Mean height (mh) |
| ifile4 | ? |
| idescr4 | m |
| isensitiv4 | Sensitive |
| isensdescr4 | Logistic procedure |
| ivar5 | Altitude (alt) |
| ifile5 | ? |
| idescr5 | m |
| isensitiv5 | Sensitive |
| csumm | clear bole height, cbh -0.2301 latitude, lat -0.4925 stems ha-1, sha -0.00023 mean height, mh 0.1447 altitude, alt 0.00253 |
| Model | miprob=1-(1/(1+exp(25.2076-(0.2301*cbh)-(0.4925*lat) -(0.00023*sha)+(0.1447*mh)+(0.00253*alt)))) (then multiply by 100 to get the result in percent) |
| cspecfile | None |
| cexpspecfile | none |
| osumm | mtall |
| ospecfile | ? |
| oexpspecfile | See above |
| ovar1 | miprob |
| 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, stand, and site characteristics when dominating species is Scots pine Chi-square for covariates 146.158 with 5 DF (p=0.0001) Pr > Chi-square Intercept 0.0001 cbh 0.0001 lat 0.0001 sha 0.0001 mh 0.0001 alt 0.0001 |
| mech_meth | n/a |
| log_meth | Logistic model Model miprob=1-(1/(1+exp(25.2076-(0.2301*cbh)-(0.4925*lat)-(0.00023*sha) +(0.1447*mh)+(0.00253*alt)))) (then the result is multiplied by 100 to get it in percent) |
| scope | Model developed from a sample of data from mid Sweden (745 sample plots). 2.2% 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 |
10. Integrated models Scots pine dominated stands Southern
Sweden
| user_name | Erik Valinger |
| user_organisation | Swedish University of Agricultural Sciences Faculty of Forestry Department of Silviculture S-901 83 Umea Sweden |
| date | 21th May 1997 |
| model_name | Describes probability of snow and wind damage at sites using tree,
stand, and site characteristics from the thickest sample tree at each sample plot, and measured stand and site data from the same plot. |
| software | Developed in SAS 6.10 but Excel 7.0 will do |
| operating_system | PC Windows 95 |
| isumm | There are seven input variables in model. The risk of damage is modeled using the characteristics stand age, ratio of height to diameter at breast height, altitude, latitude, longitude, relative crown length, volume over bark. Valid only for Scots pine in south Sweden. |
| Ispecfile | Similar to that for earlier Umea models. |
| iexpspecfile | n/a |
| ivar1 | Stand age (age) |
| ifile1 | ? |
| idescr1 | years |
| isensitiv1 | Sensitive |
| isensdescr1 | Logistic procedure |
| ivar2 | Ratio of height to diameter at breast height (rhd) |
| ifile2 | ? |
| idescr2 | m/cm |
| isensitiv2 | Sensitive |
| isensdescr2 | Logistic procedure |
| ivar3 | Altitude (alt) |
| ifile3 | ? |
| idescr3 | m |
| isensitiv3 | Sensitive |
| isensdescr3 | Logistic procedure |
| ivar4 | Latitude (lat) |
| ifile4 | ? |
| idescr4 | degrees |
| isensitiv4 | Not so sensitive |
| isensdescr4 | Logistic procedure |
| ivar5 | Longitude (long) |
| ifile5 | ? |
| idescr5 | degrees |
| isensitiv5 | Sensitive |
| ivar6 | Relative crown length (rcl) |
| ifile6 | ? |
| idescr6 | proportion (0 to 1) |
| isensitiv6 | Sensitive |
| ivar7 | Volume over bark (v) |
| ifile7 | ? |
| idescr7 | m3 |
| isensitiv7 | Sensitive |
| csumm | stand age, age 0.00644 ratio of height to diameter at breast height, rhd -3.7129 altitude, alt -0.00300 latitude, lat -0.0868 longitude, long -0.0976 relative crown length, rcl -1.7082 volume over bark, v -0.8781 Model siprob=1-(1/(1+exp(6.5405+(0.00644*age)-(3.7129*rhd)-(0.00300*alt) -(0.0868*lat)-(0.0976*long)-(1.7082*rcl)-(0.8781*v)))) (then multiply by 100 to get the result in percent) |
| cspecfile | None |
| cexpspec | stall |
| ospecfile | ? |
| oexpspecfile | See above |
| ovar1 | siprob |
| 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, stand, and site characteristics when dominating species is Scots pine Chi-square for covariates 221.091 with 7 DF (p=0.0001) Pr > Chi-square Intercept 0.0023 age 0.0001 rhd 0.0001 alt 0.0001 lat 0.0212 long 0.0001 rcl 0.0001 v 0.0001 |
| mech_meth | n/a |
| log_meth | Logistic model Model siprob=1-(1/(1+exp(6.5405+(0.00644*age)-(3.7129*rhd)-(0.00300*alt) -(0.0868*lat)-(0.0976*long)-(1.7082*rcl)-(0.8781*v)))) (then the result is multiplied by 100 to get it in percent) |
| scope | Model developed from a sample of data from south Sweden (1187 sample
plots) 3.0% 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 |
11. Integrated models Norway spruce dominated stands Northern
Sweden
| user_name | Erik Valinger |
| user_organisation | Swedish University of Agricultural Sciences Faculty of Forestry Department of Silviculture S-901 83 Umea Sweden |
| date | 21th May 1997 |
| model_name | Integrated model |
| description | Describes probability of snow and wind damage at sites using tree,
stand, and site characteristics from the thickest sample tree at each sample plot, and measured stand and site data from the same plot. |
| software | Developed in SAS 6.10 but Excel 7.0 will do |
| operating_system | PC Windows 95 |
| isumm | There are seven input variables in model. The risk of damage is modeled using the characteristics mean diameter at breast height, inclination, site index, peat, longitude, latitude, and upper taper. Valid only for Norway spruce in north Sweden. |
| Ispecfile | Similar to that for earlier Umea models |
| iexpspecfile | n/a |
| ivar1 | Mean diameter at breast height (mdia) |
| ifile1 | ? |
| idescr1 | cm |
| isensitiv1 | Logistic procedure |
| ivar2 | Inclination (inc) |
| ifile2 | ? |
| idescr2 | slope (0-1) |
| isensitiv2 | Sensitive |
| isensdescr2 | Logistic procedure |
| ivar3 | Site index (SI) |
| ifile3 | ? |
| idescr3 | m |
| isensitiv3 | Sensitive |
| isensdescr3 | Logistic procedure |
| ivar4 | peat (peat) |
| ifile4 | ? |
| idescr4 | value 1 or 0 |
| isensitiv4 | Sensitive |
| isensdescr4 | Logistic procedure |
| ivar5 | Longitude (long) |
| ifile5 | ? |
| idescr5 | degrees |
| isensitiv5 | Sensitive |
| ivar6 | Latitude (lat) |
| ifile6 | ? |
| idescr6 | degrees |
| isensitiv | Upper taper (ut) |
| ifile7 | ? |
| idescr7 | diameter at 5 m/height-height to upper diameter, cm/m |
| isensitiv7 | Sensitive |
| csumm | mean diameter at breast height, mdia 0.0583 inclination, inc 3.2033 site index, SI -0.0236 peat, peat 0.7085 longitude, long 0.0938 latitude, lat -0.1587 upper taper, ut 0.2327 Model niprob=1-(1/(1+exp(4.1096+(0.0583*mdia)+(3.2033*inc) -(0.0236*SI)+(0.7085*peat)+(0.0938*long)-(0.1587*lat)+(0.2327*ut)))) (then multiply by 100 to get the result in percent) |
| cspecfile | None |
| cexpspecfile | none |
| osumm | ngran |
| ospecfile | ? |
| oexpspecfile | See above |
| ovar1 | niprob |
| 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, stand, and site characteristics when dominating species is Norway spruce Chi-square for covariates 235.602 with 7 DF (p=0.0001) Pr > Chi-square Intercept 0.1287 mdia 0.0001 inc 0.0001 SI 0.0001 peat 0.0002 long 0.0001 lat 0.0004 ut 0.0001 |
| mech_meth | n/a |
| log_meth | Logistic model Model niprob=1-(1/(1+exp(4.1096+(0.0583*mdia)+(3.2033*inc)-(0.0236*SI) +(0.7085*peat)+(0.0938*long)-(0.1587*lat)+(0.2327*ut)))) (then the result is multiplied by 100 to get it in percent) |
| scope | Model developed from a sample of data from north Sweden (925 sample
plots) 3.7% 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 |
12. Integrated 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 | 21th May 1997 |
| model_name | Integrated model |
| description | Describes probability of snow and wind damage at sites using tree,
stand, and site characteristics from the thickest sample tree at each sample plot, and measured stand and site data from the same 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, volume ha-1, longitude, latitude, altitude, and crown length. 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 | Volume ha-1 (vha) |
| ifile2 | ? |
| idescr2 | 0.1 m3 ha-1 |
| isensitiv2 | Sensitive |
| isensdescr2 | Logistic procedure |
| ivar3 | Longitude (long) |
| ifile3 | ? |
| idescr3 | degrees |
| isensitiv3 | Sensitive |
| isensdescr3 | Logistic procedure |
| ivar4 | Latitude (lat) |
| ifile4 | ? |
| idescr4 | degrees |
| isensitiv4 | Sensitive |
| isensdescr4 | Logistic procedure |
| ivar5 | Altitude (alt) |
| ifile5 | m |
| isensitiv5 | sensitive> |
| isensdescr5 | Logistic procedure |
| ivar6 | Crown length (crl) |
| ifile6 | ? |
| idescr6 | m |
| isensitiv6 | Sensitive |
| csumm | height, h -0.1693 volume ha-1, vha 0.00411 longitude, long 0.2319 latitude, lat -1.3365 altitude, alt 0.00957 crown length, crl 0.1494 |
| Model | miprob=1-(1/(1+exp(71.8221-(0.1693*h)+(0.00411*vha) +(0.2319*long)-(1.3365*lat)+(0.00957*alt)+(0.1494*crl)))) (then multiply by 100 to get the result in percent) |
| cspecfile | None |
| cexpspec | mgran |
| ospecfile | ? |
| oexpspecfile | See above |
| ovar1 | miprob |
| ofile1 | ? |
| odescr1<?td> | Site probability of snow and wind damage |
| stat_meth | Logistic procedure for probability of damage from snow and wind at a site using tree, stand, and site characteristics when dominating species is Norway spruce Chi-square for covariates 869.469 with 6 DF (p=0.0001) Pr > Chi-square Intercept 0.0001 h 0.0001 vha 0.0001 long 0.0001 lat 0.0001 alt 0.0001 crl 0.0001 |
| mech_meth | n/a |
| log_meth | Logistic model Model miprob=1-(1/(1+exp(71.8221-(0.1693*h)+(0.00411*vha)+(0.2319*long) -(1.3365*lat)+(0.00957*alt)+(0.1494*crl)))) (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 |
13. Integrated models Norway spruce dominated stands Southern
Sweden
| user_name | Erik Valinger |
| user_organisation | Swedish University of Agricultural Sciences Faculty of Forestry Department of Silviculture S-901 83 Umea Sweden |
| date | 21th May 1997 |
| model_name | Integrated model |
| description | Describes probability of snow and wind damage at sites using tree,
stand, and site characteristics from the thickest sample tree at each sample plot, and measured stand and site data from the same plot. |
| software | Developed in SAS 6.10 but Excel 7.0 will do |
| operating_system | PC Windows 95 |
| isumm | There are eight input variables in model. The risk of damage is modeled using the characteristics mean tree height, diameter at breast height, basal area, mean diameter at breast height, volume ha-1, longitude, and altitude. Valid only for Norway spruce in south Sweden. |
| Ispecfile | Similar to that for earlier Umea models |
| iexpspecfile | n/a |
| ivar1 | Diameter at breast height (dbh) |
| ifile1 | ? |
| idescr1 | cm |
| isensitiv1 | Sensitive |
| isensdescr1 | Logistic procedure |
| ivar2 | Mean height (mh) |
| ifile2 | ? |
| idescr2 | m |
| isensitiv2 | Sensitive |
| isensdescr2 | Logistic procedure |
| ivar3 | Mean diameter at breast height (mdia) |
| ifile3 | ? |
| idescr3 | cm |
| isensitiv3 | Sensitive |
| isensdescr3 | Logistic procedure |
| ivar4 | Basal area (ba) |
| ifile4 | ? |
| idescr4 | m2 ha-1 |
| isensitiv4 | Sensitive |
| isensdescr4 | Logistic procedure |
| ivar5 | Volume ha-1 (vha) |
| ifile5 | ? |
| idescr5 | 0.1 m3 ha-1 |
| isensitiv5 | Sensitive |
| isensdescr5 | Logistic procedure |
| ivar6 | Sediment (sediment) |
| ifile6 | ? |
| idescr6 | value 1 or 0 |
| isensitiv6 | Sensitive |
| isensdescr6 | Logistic procedure |
| ivar7 | Longitude (long) |
| ifile7 | ? |
| idescr7 | degrees |
| isensitiv7 | Sensitive |
| isensdescr7 | Logistic procedure |
| ivar8 | Altitude (alt) |
| ifile8 | ? |
| idescr8 | m |
| isensitiv8 | Sensitive |
| isensdescr8 | Logistic procedure |
| csumm | diameter at breast height, dbh -0.0265 mean height, mh 0.0564 mean diameter at breast height, mdia 0.0625 basal area, ba 0.0866 volume ha-1, vha -0.00084 sediment, sedi -0.8897 longitude, long 0.0915 altitude, alt 0.00354 Model siprob=1-(1/(1+exp(-7.0747-(0.0265*dbh)+(0.0564*mh)+(0.0625*mdia) (then multiply by 100 to get the result in percent) |
| cspecfile | None |
| cexpspecfile | none |
| osumm | sgran |
| ospecfile | ? |
| oexpspecfile | See above |
| ovar1 | siprob |
| 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, stand, and site characteristics when dominating species is Norway spruce Chi-square for covariates 316.780 with 8 DF (p=0.0001) Pr > Chi-square Intercept 0.0001 dbh 0.0001 mh 0.0001 mdia 0.0001 ba 0.0001 vha 0.0001 sedi 0.0001 long 0.0001 alt 0.0001 |
| mech_meth | n/a |
| log_meth | Logistic model Model siprob=1-(1/(1+exp(-7.0747-(0.0265*dbh)+(0.0564*mh)+(0.0625*mdia) +(0.0866*ba)-(0.00084*vha)-(0.8897*sedi)+(0.0915*long)+(0.00254*alt)))) (then the result is multiplied by 100 to get it in percent) |
| scope | Model developed from a sample of data from south Sweden (1708 sample
plots) 3.3% 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 |
14. Integrated models Birch dominated stands Whole Sweden
| user_name | Erik Valinger |
| user_organisation | Swedish University of Agricultural Sciences Faculty of Forestry Department of Silviculture S-901 83 Umea Sweden |
| date | 21th May 1997 |
| model_name | Describes probability of snow and wind damage at sites using tree, stand, and site characteristics from the thickest sample tree at each sample plot, and measured stand and site data from the same plot. |
| software | Developed in SAS 6.10 but Excel 7.0 will do |
| operating_system | PC Windows 95 |
| isumm | There are eight input variables in model. The risk of damage is modeled using the characteristics basal area, moisture, sediment, longitude, latitude, altitude, clear bole height, and ratio of height to diameter at breast height. Valid only for Birch in whole Sweden. |
| Ispecfile | Similar to that for earlier Umea models |
| iexpspecfile | n/a |
| ivar1 | Basal area (ba) |
| ifile1 | ? |
| idescr1 | m2 ha-1 |
| isensitiv1 | Sensitive |
| isensdescr1 | Logistic procedure |
| ivar2 | Moisture (moist) |
| ifile2 | ? |
| idescr2 | value between 1 and 4 (1=dry, 4=wet) |
| isensitiv2 | Sensitive |
| isensdescr2 | Logistic procedure |
| ivar3 | Sediment (sedi) |
| ifile3 | ? |
| idescr3 | value 1 or 0 |
| isensitiv3 | Sensitive |
| isensdescr3 | Logistic procedure |
| ivar4 | Longitude (long) |
| ifile4 | ? |
| idescr4 | degrees |
| isensitiv4 | Sensitive |
| isensdescr4 | Logistic procedure |
| ivar5 | Latitude (lat) |
| ifile5 | ? |
| idescr5 | degrees |
| isensitiv5 | Sensitive |
| isensdescr5 | Logistic procedure |
| ivar6 | Altitude (alt) |
| ifile6 | ? |
| idescr6 | m |
| isensitiv6 | Sensitive |
| isensdescr6 | Logistic procedure |
| ivar7 | Clear bole height (cbh) |
| ifile7 | ? |
| idescr7 | m |
| isensitiv7 | Sensitive |
| isensdescr7 | Logistic procedure |
| ivar8 | Ratio of height to diameter at breast height (rhd) |
| ifile8 | ? |
| idescr8 | cm/m |
| isensitiv8 | Sensitive |
| isensdescr8 | Logistic procedure |
| csumm | basal area, ba 0.0682 moisture, moist 1.1653 sediment, sedi 0.6819 longitude, long 0.2438 latitude, lat -0.2566 altitude, alt 0.00685 clear bole height, cbh -0.4522 ratio of height to diameter at breast height, rhd 3.0790 Model wiprob=1-(1/(1+exp(1.0856+(0.0682*ba)+(1.1653*moist)+(0.6819*sedi) +(0.2438*long)-(0.2566*lat)+(0.00685*alt)-(0.4522*cbh)+(3.0790*rhd)))) (then multiply by 100 to get the result in percent) |
| cspecfile | None |
| cexpspecfile | none |
| osumm | wbirch |
| ospecfile | ? |
| oexpspecfile | See above |
| ovar1 | wiprob |
| 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, stand, and site characteristics when dominating species is Birch Chi-square for covariates 315.620 with 8 DF (p=0.0001) Pr > Chi-square Intercept 0.6938 ba 0.0001 moist 0.0001 sedi 0.0001 long 0.0001 lat 0.0001 alt 0.0001 cbh 0.0001 rhd 0.0001 |
| mech_meth | n/a |
| log_meth | Logistic model Model wiprob=1-(1/(1+exp(1.0856+(0.0682*ba)+(1.1653*moist)+(0.6819*sedi) +(0.2438*long)-(0.2566*lat)+(0.00685*alt)-(0.4522*cbh)+(3.0790*rhd)))) (then the result is multiplied by 100 to get it in percent) |
| scope | Model developed from a sample of data from whole Sweden (498 sample
plots) 2.0% 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 |