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Table 2 Parameter estimates and standard errors of the aboveground biomass weighted regression models

From: Modeling the above and belowground biomass of planted and coppiced Eucalytpus globulus stands in NW Spain

Fraction

Eq.

Variables

Equation

k

a

a 01

a 02

α

b

Weights

Individual adjustment

          

 Leaves

1

d

Wl = kda

0.0287 (0.006)

1.9002 (0.0702)

    

\( 1/\sqrt{(d)^{1.07949}} \)

 

2

d, G

Wl = kda Gb

0.0309 (0.007)

1.5227 (0.2438)

   

0.3495 (0.2543)

\( 1/\sqrt{{\left(d\cdot G\right)}^{0.2817}} \)

 

3

d, cl

Wl = kdaclb

0.0844 (0.024)

0.8745 (0.1552)

   

0.9502 (0.1401)

\( 1/\sqrt{{\left(d\cdot cl\right)}^{0.8813}} \)

 

4

d, cl, site

Wl = k*d(a01+α)*clb

0.0240 (0.001)

 

1.7227 (0.1701)

 

0.09967 (0.0215)

0.3470 (0.1557)

\( 1/\sqrt{{\left(d\cdot cl\right)}^{0.9340}} \)

 

5

d, cl, hdom

Wl = k*dal*clb; al = a01*hdom a02

0.0305 (0.016)

 

2.3446 (0.518)

0.14122 (00323)

 

0.5821 (0.1444)

\( 1/\sqrt{{\left(d\cdot cl\right)}^{0.8813}} \)

 Branches

6

d

Wb = kda

0.0328 (0.007)

2.1407 (0.0677)

    

\( 1/\sqrt{(d)^{0.76467}} \)

 

7

d, G

Wb = kda Gb

0.029 (0.007)

2.0081 (0.2257)

   

0.1734 (0.2586)

\( 1/\sqrt{{\left(d\cdot G\right)}^{0.66636}} \)

 

8

d, cl

Wb = kdaclb

0.0674 (0.013)

1.2474 (0.1133)

   

0.9229 (0.1051)

\( 1/\sqrt{{\left(d\cdot cl\right)}^{0.7753}} \)

 

9

d, cl, site

Wb = k*d(a01+α)*clb

0.0284 (0.007)

 

1.7220 (0.1734)

 

0.0814 (0.0953)

0.7007 (0.1510)

\( 1/\sqrt{{\left(d\cdot cl\right)}^{0.7433}} \)

 

10

d, cl, hdom

Wb = k*dab*clb; ab = a01* hdom a02

0.0251 (0.009)

 

2.3445 (0.3145)

−0.0974 (0.0199)

 

0.7472 (0.0885)

\( 1/\sqrt{{\left(d\cdot cl\right)}^{0.7753}} \)

 Stem (wood + bark)

11

d

Ws = kda

0.0792 (0.011)

2.5296 (0.0406)

    

\( 1/\sqrt{(d)^{1.0345}} \)

 

12

d, h

Wb = kda hb

0.0377 (0.005)

2.0685 (0.0631)

   

0.6696 (0.0778)

\( 1/\sqrt{{\left(d\cdot h\right)}^{0.9856}} \)

 

13

d, h, site

Ws = k*d(a01+α)*hb

0.0354 (0.005)

 

1.854 (0.0635)

 

0.03542 (0.0306) n.s.

0.9043 (0.0882)

\( 1/\sqrt{{\left(d\cdot h\right)}^{1.022145}} \)

 

14

d, h, hdom

Ws = k*das*clb; as = a01* hdom a02

0.0489 (0.016)

 

2.1368 (0.1793)

−0.007 (0.0198)

 

0.7892 (0.1632)

\( 1/\sqrt{{\left(d\cdot h\right)}^{0.9856}} \)

 Total

15

d, h, site

Wt = k*d(a01+α)*hb

0.0627 (0.0080)

 

2.0240 (0.060)

 

0.0269 (0.0470) n.s.

0.6197 (0.0822)

\( 1/\sqrt{{\left(d\cdot h\right)}^{0.97135}} \)

Simultaneous adjustment

          

 Leaves

1

d

Wl = kda

0.0425 (0.010)

1.7689 (0.0751)

    

\( 1/\sqrt{(d)^{1.07949}} \)

 

2

d, G

Wl = kda Gb

0.0357 (0.008)

1.5024 (0.2112)

   

0.323 (0.2084)

\( 1/\sqrt{{\left(d\cdot G\right)}^{0.2817}} \)

 

3

d, cl

Wl = kdaclb

0.0564 (0.013)

1.2628 (0.1546)

   

0.5779 (0.1475)

\( 1/\sqrt{{\left(d\cdot cl\right)}^{0.8813}} \)

 

5

d, cl, hdom

Wl = k*dal*clb; al = a01*hdom a02

0.013 (0.006)

 

2.9559 (0.5316)

−0.1355 (0.0267)

 

0.3773 (0.1557)

\( 1/\sqrt{{\left(d\cdot cl\right)}^{0.8813}} \)

 Branches

6

d

Wb = kda

0.0287 (0.007)

2.184 (0.0688)

    

\( 1/\sqrt{(d)^{0.76467}} \)

 

7

d, G

Wb = kda Gb

0.028 (0.006)

2.0731 (0.1871)

   

0.1184 (0.2032)

\( 1/\sqrt{{\left(d\cdot G\right)}^{0.66636}} \)

 

8

d, cl

Wb = kdaclb

0.0607 (0.011)

1.288 (0.1061)

   

0.9119 (0.0979)

\( 1/\sqrt{{\left(d\cdot cl\right)}^{0.7753}} \)

 

10

d, cl, hdom

Wb = k*dab*clb; ab = a01* hdom a02

0.0181 (0.006)

 

2.6331 (0.356)

−0.1185 (0.0201)

 

0.7811 (0.102)

\( 1/\sqrt{{\left(d\cdot cl\right)}^{0.7753}} \)

 Stem (wood + bark)

11

d

Ws = kda

0.0775 (0.007)

1.7326 (0.0277)

   

0.8005 (0.12)

\( 1/\sqrt{(d)^{1.0345}} \)

 

12

d, h

Wb = kda hb

0.0447 (0.004)

2.0418 (0.0475)

   

0.6459 (0.0606)

\( 1/\sqrt{{\left(d\cdot h\right)}^{0.9856}} \)

 

14

d, h, hdom

Ws = k*das*clb; as = a01* hdom a02

0.0394 (0.016)

 

2.0804 (0.1826)

−0.0079 (0.0259)

 

0.7025 (0.1403)

\( 1/\sqrt{{\left(d\cdot h\right)}^{0.9856}} \)

  1. For simultaneous models, Wt = Ws + Wl + Wb; Eqs. 4, 9, 13, and 15 are NLME models; k, a, a01, a02, and b are parameter estimates; α is the random factor std. dev. Numbers in brackets are std. errors of the parameters and α factor residual. Coefficients were significant at p < 0.05
  2. Eq. N equation number, Wl leaf biomass (kg, dry matter), Wb branch biomass (kg, dry matter), Ws stem biomass (kg, dry matter), Wt total aboveground biomass (kg, cry matter), d diameter at breast height (cm), cl tree crown length (m), h tree height (m), hdom dominant height (m), G basal area (m2/ha)