scholarly journals Modeling Forest Stand Dynamics, Growth and Yield

Forests ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 1553
Author(s):  
Harold E. Burkhart
Keyword(s):  
Forest Stand ◽  
Growth And Yield ◽  
Stand Dynamics

The world’s forests are diverse and serve myriad purposes; however, regardless of the management objective, reliable models of forest stand dynamics, growth and yield are required [...]

scholarly journals A Multivariate Hybrid Stochastic Differential Equation Model for Whole-Stand Dynamics

Mathematics ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 2230
Author(s):  
Petras Rupšys ◽  
Martynas Narmontas ◽  
Edmundas Petrauskas
Keyword(s):  
Differential Equation ◽  
Stochastic Differential Equation ◽  
Diffusion Processes ◽  
Basal Area ◽  
Equation Model ◽  
Forest Stand ◽  
Growth And Yield ◽  
Stand Dynamics ◽  
Mixed Effect ◽  
Pine Tree

The growth and yield modeling of a forest stand has progressed rapidly, starting from the generalized nonlinear regression models of uneven/even-aged stands, and continuing to stochastic differential equation (SDE) models. We focus on the adaptation of the SDEs for the modeling of forest stand dynamics, and relate the tree and stand size variables to the age dimension (time). Two different types of diffusion processes are incorporated into a hybrid model in which the shortcomings of each variable types can be overcome to some extent. This paper presents the hybrid multivariate SDE regarding stand basal area and volume models in a forest stand. We estimate the fixed- and mixed-effect parameters for the multivariate hybrid stochastic differential equation using a maximum likelihood procedure. The results are illustrated using a dataset of measurements from Mountain pine tree (Pinus mugo Turra).

scholarly journals Forest Stand Growth Models: What For?

1985 ◽  
Vol 61 (1) ◽  
pp. 19-22 ◽  
Author(s):  
Stephen J. Titus ◽  
Robert T. Morton
Keyword(s):  
Growth Models ◽  
Forest Stand ◽  
Growth And Yield ◽  
Effective Management ◽  
Management Planning ◽  
Computing Power ◽  
Stand Growth ◽  
The Future ◽  
Decision Making Processes ◽  
Growth And Yield Models

Until very recently foresters have relied on infrequent inventories to provide static descriptions of large forest areas for management planning. With the quantum increases in computing power, the massing of forestry data, and the increasing pressure for effective management planning, it is becoming necessary to view the forest as dynamic, and subject to manipulation for management purposes. Prediction of changes to forest structure and yield must be made to update old data and project stands into the future. This paper reviews the current sources of literature on growth and yield, discusses basic types and components of growth models, and gives some examples of important uses for growth and yield models. The future will see increased use of computers for analysis of forestry data including even more sophisticated growth and yield models linked to both inventory and decision making processes.

Forest stand dynamics

1997 ◽  
Vol 86 (1-2) ◽  
pp. 139-140 ◽  
Author(s):  
David R. Miller
Keyword(s):  
Forest Stand ◽  
Stand Dynamics

Pascal's recurrence relation and even-aged-forest stand dynamics

1992 ◽  
Vol 22 (12) ◽  
pp. 1996-1999
Author(s):  
Rolfe A. Leary ◽  
Hien Phan ◽  
Kevin Nimerfro
Keyword(s):  
Differential Equation ◽  
Relative Density ◽  
Closed Form ◽  
Initial Conditions ◽  
Closed Form Solution ◽  
Integral Form ◽  
Forest Stand ◽  
Form Solution ◽  
Density Change ◽  
Stand Dynamics

A common method of modelling forest stand dynamics is to use permanent growth plot remeasurements to calibrate a whole-stand growth model expressed as an ordinary differential equation. To obtain an estimate of future conditions, either the differential equation is integrated numerically or, if analytic, the differential equation is solved in closed form. In the latter case, a future condition is obtained simply by evaluating the integral form for the age of interest, subject to appropriate initial conditions. An older method of modelling forest stand dynamics was to use a normal or near-normal yield table as a density standard and calibrate a relative density change equation from permanent plot remeasurements. An estimate of a future stand property could be obtained by iterating from a known initial relative density. In this paper we show that when the relative density change equation has a particular form, the historical method also has a closed form solution, given by a sequence of polynomials with coefficients from successive rows of Pascal's arithmetic triangle.

Effects of topography and forest stand dynamics on soil morphology in three natural Picea abies mountain forests

2015 ◽  
Vol 392 (1-2) ◽  
pp. 57-69 ◽  
Author(s):  
Martin Valtera ◽  
Pavel Šamonil ◽  
Miroslav Svoboda ◽  
Pavel Janda
Keyword(s):  
Picea Abies ◽  
Forest Stand ◽  
Stand Dynamics ◽  
Soil Morphology ◽  
Mountain Forests

scholarly journals Altitude and community traits explain rain forest stand dynamics over a 2370‐m altitudinal gradient in Costa Rica

Ecosphere ◽  
2021 ◽  
Vol 12 (12) ◽  
Author(s):  
Alba Lorena Hernández Gordillo ◽  
Sergio Vilchez Mendoza ◽  
Marie Ange Ngo Bieng ◽  
Diego Delgado ◽  
Bryan Finegan
Keyword(s):  
Costa Rica ◽  
Rain Forest ◽  
Altitudinal Gradient ◽  
Forest Stand ◽  
Stand Dynamics

scholarly journals Modeling forest stand dynamics from optimal balances of carbon and nitrogen

2012 ◽  
Vol 194 (4) ◽  
pp. 961-971 ◽  
Author(s):  
Harry T. Valentine ◽  
Annikki Mäkelä
Keyword(s):  
Forest Stand ◽  
Stand Dynamics ◽  
Carbon And Nitrogen
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