Skip to main content

Table 2 Prior distributions for parameters of Mitscherlich model (Eqs. 5, 9, 10, 11, 12) and thinned model (Eqs. 5, 8, 10, 11, 12)

From: Bayesian inference of biomass growth characteristics for sugi (C. japonica) and hinoki (C. obtusa) forests in self-thinned and managed stands

Mitscherlich Model

Thinned Model

Model parameters

Law

Law parameter 1

Law parameter 2

Model parameters

Law

Law parameter 1

Law parameter 2

\(\phantom {\dot {i}\!}Y_{max_{th_{m}}}\)

LogUniform

500

6000

\(\phantom {\dot {i}\!}Y_{max_{{th}}}\)

LogUniform

1

50

\(\phantom {\dot {i}\!}\omega _{yth_{m}}\)

LogUniform

0.5

1

ωyth

LogUniform

0.5

1

\(\phantom {\dot {i}\!}\gamma _{yth_{m}}\)

LogUniform

1e-12

0.01

γyth

LogUniform

0.001

0.1

\(\phantom {\dot {i}\!}\sigma _{yth_{m}}\)

InvGamma

3

0.05

σyth

InvGamma

3

0.05

N0

LogUniform

1000

30000

N0

LogUniform

1000

30000

ωN

LogUniform

0.01

1

ωN

LogUniform

0.01

1

γN

LogUniform

0.01

1.5

γN

LogUniform

0.01

1.5

σN

InvGamma

3

0.05

σN

InvGamma

3

0.05

aB

LogUniform

1e-5

1

aB

LogUniform

0.05

1

bB

LogUniform

0.1

2

bB

LogUniform

0.1

2

σB

InvGamma

3

0.05

σB

InvGamma

3

0.05

aL

LogUniform

1e-12

1

aL

LogUniform

0.1

3

bL

LogUniform

0.1

10

bL

LogUniform

0.1

5

\(\phantom {\dot {i}\!}W_{L_{{max}}}\)

LogUniform

10

30

\(\phantom {\dot {i}\!}W_{L_{{max}}}\)

LogUniform

10

30

σWL

InvGamma

3

0.05

σWL

InvGamma

3

0.05