Integrated Stand Growth Model (ISGM) and Its Application

2006 ◽  
Author(s):  
Lingxia Hong ◽  
Shouzheng Tang ◽  
Haikui Li ◽  
Yongci Li ◽  
Francois de Coligny
Keyword(s):  
Growth Model ◽  
Stand Growth

ANALYSIS OF A LIMPET FISHERY USING A METAPHYSIOLOGICAL STAND-GROWTH MODEL

1994 ◽  
Vol 8 (2) ◽  
pp. 139-161 ◽  
Author(s):  
Rodrigo H. Bustamante ◽  
Wayne M. Getz ◽  
George M. Branch
Keyword(s):  
Growth Model ◽  
Stand Growth

A growth model based on the self-thinning rule

1986 ◽  
Vol 16 (2) ◽  
pp. 330-334 ◽  
Author(s):  
N. J. Smith ◽  
D. W. Hann
Keyword(s):  
Relative Density ◽  
Growth Model ◽  
Red Pine ◽  
The Self ◽  
Stem Volume ◽  
Red Alder ◽  
Dynamic Component ◽  
Stand Growth ◽  
Initial Spacing ◽  
Crown Closure

A two-staged stand growth model is developed to describe the relationship between biomass or volume and numbers of stems in even-aged, monospecific plant populations undergoing self-thinning. The model is tested on red alder (Alnusrubra Bong.) seedlings and red pine (Pinusresinosa Ait.) stands grown over a range of site qualities and initial spacings. First, survival rate is modelled as a Weibull distribution. This is then fit to an analytical size–density model to give growth estimates. Crown closure is estimated to occur at a relative density of 0.09 for red alder, while initial mortality is estimated to occur at a relative density of 0.12 for red pine. Net stand growth rates peaked at a relative density of 0.54 for red alder biomass and from relative densities from 0.40 (widest initial spacing) to 0.55 (densest initial spacing) for red pine total stem volume. Site quality merely shifted the magnitude of these relationships. The model adds a dynamic component to the self-thinning rule and also generalizes and extends the rule to stand development between crown closure and the self-thinning asymptote.

Adjusting a process-based growth model for varying site conditions through parameter estimation

1993 ◽  
Vol 23 (9) ◽  
pp. 1837-1851 ◽  
Author(s):  
Risto Sievänen ◽  
Thomas E. Burk
Keyword(s):  
Growth Model ◽  
Present Model ◽  
Biological Significance ◽  
Site Quality ◽  
Model Parameters ◽  
Identifiability Analysis ◽  
Stand Growth ◽  
Estimated Parameters ◽  
Identifiability Problems ◽  
Logical Data

The problem of estimating the parameters of a process-based growth model using typical stand growth measurements (of tree dimensions) is studied. The data consist of measurements of diameter, height, number of trees, and live crown ratio obtained from plots representing different site qualities. An analysis of the identifiability of model parameters is made which shows (i) that the structure of the model makes certain parameter combinations unidentifiable and (ii) that the data at hand do not support all the parameters. It is not possible to reduce the number of parameters in the model without losing its biological significance. Therefore, as a remedy for identifiability problems, the model has been modified slightly on the basis of identifiability analysis and initial estimations and the set of parameters to be estimated has been restricted. A division of the parameters into two groups is sought: those estimated with all plots combined and those that are allowed to vary from plot to plot. The estimated parameters have biologically reasonable values, and the variation in accordance with plot site quality is logical. Data-based analysis shows that apart from some unidentifiable parameter combinations, the parameters of the present model are estimated rather consistently. Analysis of the loss function components indicates that measurements of diameter, height, density, and live crown ratio are needed for reliable fitting of the model.

scholarly journals A Simple Stand Growth Model Based on Canopy Dynamics and Biomechanics

2013 ◽  
Vol 59 (3) ◽  
pp. 335-344 ◽  
Author(s):  
Thomas J. Dean ◽  
Mauricio Jerez ◽  
Quang V. Cao
Keyword(s):  
Growth Model ◽  
Stand Growth ◽  
Model Based

Comparison of stochastic and deterministic mortality estimation in an individual tree based stand growth model

1986 ◽  
Vol 16 (5) ◽  
pp. 1139-1141 ◽  
Author(s):  
Laura A. Weber ◽  
Alan R. Ek ◽  
Terry D. Droessler
Keyword(s):  
Growth Model ◽  
Basal Area ◽  
Deterministic Approach ◽  
Projection Model ◽  
Individual Tree ◽  
Stand Growth ◽  
Mortality Estimation ◽  
Stochastic Mortality ◽  
Growth Projection

Long-term projections (100 years) were made using the deterministic and stochastic mortality algorithms of the STEMS individual tree based stand growth projection model. Deterministic versus averaged stochastic projection results showed no practical differences in mean stand values for number of trees, basal area, volume, or diameter distributions. The deterministic approach also eliminates the need for making repeated stochastic runs and averaging the results where interest lies only in mean projected values.

A biologically-consistent stand growth model for loblolly pine in the Piedmont physiographic region, USA

2011 ◽  
Vol 262 (11) ◽  
pp. 2035-2041 ◽  
Author(s):  
Oscar García ◽  
Harold E. Burkhart ◽  
Ralph L. Amateis
Keyword(s):  
Growth Model ◽  
Loblolly Pine ◽  
Stand Growth
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