Estimating Leaf Biomass of Pollarded Lebanon Oak in Open Silvopastoral Systems Using Allometric

Estimating Leaf Biomass of Pollarded Lebanon Oak in open Silvopastoral Systems Using Allometric Equations

Journal: Trees - Structure and Function

Sima Shahabedini1, Loghman Ghahramany2*, Fernando Pulido3, Sheyda Khosravi4 and Gerardo Moreno3

1. M. Sc. Forestry, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran

2. The Center for Research and Development of Northern Zagros Forestry, Department of Forestry, University of Kurdistan, Iran

* Corresponding author: , phone: +989188735785

3. Institute for Dehesa Research, University of Extremadura, Plasencia, Spain

4. Ph.D. student, Lorestan University, Iran

Fig. S1 Correlation among different biometric variables, and among these and leaf biomass (LW, also expressed as natural logaritnm, LnLW). Biometric variables are DBH (stem diameter at breast height), COD (stem diameter at collar), HTO (tree height), HTR (trunk height), HC (crown height), CA (crown area) and CD (crown diameter).


Table S1 List of the different models with one or two biometric factors

Model
Ln(lbtc) = / F / p-value / Coefficient
± S.E. / t / p-value / R2 / R2 Adj. / RMSE / AIC
Intercept
DBH / 154.1 / <0.001 / 1.096±0.067
0.057±0.005 / 16.5
12.4 / <0.001
<0.001 / 0.216 / 0.215 / 0.525 / 874.1
Intercept
COD / 163.3 / <0.001 / 1.038±0.069
0.052±0.004 / 15.0
12.78 / <0.001
<0.001 / 0.226 / 0.225 / 0.522 / 867.0
Intercept
HTO / 60.6 / <0.001 / 1.067±0.107
0.134±0.017 / 10.0
7.83 / <0.001
<0.001 / 0.0977 / 0.096 / 0.564 / 953.0
Intercept
HC / 37.1 / <0.001 / 1.338±0.092
0.115±0.019 / 14.6
6.09 / <0.001
<0.001 / 0.062 / 0.060 / 0.575 / 974.7
Intercept
CD / 603.4 / <0.001 / 0.685±0.051
0.496±0.020 / 13.3
24.6 / <0.001
<0.001 / 0.520 / 0.519 / 0.411 / 600.2
Intercept
CA / 554.8 / <0.001 / 1.292±0.031
0.115±0.005 / 42.3
23.6 / <0.001
<0.001 / 0.499 / 0.499 / 0.420 / 622.2
Intercept
DBH
CD / 326.8 / <0.001 / 0.540±0.058
0.020±0.004
0.443±0.022 / 9.26
4.93
19.8 / <0.001
<0.001
<0.001 / 0.540 / 0.538 / 0.4025 / 578.0
Intercept
COD
CD / 362.2 / <0.001 / 0.531±0.059
0.018±0.004
0.441±0.023 / 8.93
4.90
19.5 / <0.001
<0.001
<0.001 / 0.539 / 0.538 / 0.4027 / 578.6
Intercept
DBH
CA / 306.8 / <0.001 / 1.058±0.052
0.022±0.004
0.106±0.005 / 20.3
5.47
19.0 / <0.001
<0.001
<0.001 / 0.525 / 0.522 / 0.4090 / 594.9
Intercept
COD
CA / 305.6 / <0.001 / 1.048±0.054
0.020±0.004
0.101±0.005 / 19.3
5.36
18.7 / <0.001
<0.001
<0.001 / 0.524 / 0.522 / 0.4094 / 596.1
Intercept
HTO
CA / 282.8 / <0.001 / 1.114±0.079
0.033±0.014
0.111±0.005 / 14.0
2.43
21.4 / <0.001
0.016
<0.001 / 0.504 / 0.503 / 0.4177 / 618.3
Intercept
HC
CA / 282.3 / <0.001 / 1.153±0.067
0.033±0.014
0.112±0.005 / 17.1
2.31
22.3 / <0.001
0.021
<0.001 / 0.504 / 0.502 / 0.4178 / 618.9
Intercept
HTO
CD / 303.6 / <0.001 / 0.591±0.081
0.021±0.014
0.483±0.022 / 7.34
1.51
22.2 / <0.001
0.131
<0.001 / 0.522 / 0.520 / 0.4104 / 599.9
Intercept
HC
CD / 303.5 / <0.001 / 0.608±0.073
0.021±0.014
0.486±0.021 / 8.36
1.50
23.1 / <0.001
0.134
<0.001 / 0.522 / 0.520 / 0.4105 / 600.0
Intercept
HTO
DBH / 86.6 / <0.001 / 0.794±0.102
0.067±0.017
0.049±0.005 / 7.80
3.89
10.1 / <0.001
<0.001
<0.001 / 0.237 / 0.234 / 0.5183 / 861.1
Intercept
HC
DBH / 85.5 / <0.001 / 0.854±0.094
0.065±0.018
0.052±0.005 / 9.15
3.66
11.2 / <0.001
<0.001
<0.001 / 0.235 / 0.232 / 0.5191 / 862.9
Intercept
HTO
COD / 94.6 / <0.001 / 0.688±0.103
0.075±0.017
0.046±0.004 / 6.67
10.8
4.51 / <0.001
<0.001
<0.001 / 0.254 / 0.251 / 0.5127 / 848.9
Intercept
HC
COD / 91.7 / <0.001 / 0.774±0.095
0.069±0.017
0.048±0.004 / 8.14
3.98
11.7 / <0.001
<0.001
<0.001 / 0.248 / 0.245 / 0.5147 / 853.3