TRAINING COURSE IN 3-PG FOREST GROWTH MODEL Physiological Processes Predicting Growth

TRAINING COURSE IN 3-PG FOREST GROWTH MODEL Physiological Processes Predicting Growth

Desde 18 Julio 09:00 hasta 19 Julio 18:00 Guardar en agenda

En Auditorio Facultad

Publicado por Tere Jimenez V.

extensionagrofor@uc.cl

562 2354 4608

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   Registration:  https://docs.google.com/a/uc.cl/forms/d/e/1FAIpQLSdqjpG-7PGor-nht_FVi8OoqTxc9D2m1NHX2iXj2O88Z2gWNw/viewform?c=0&w=1 

 

logos seminario forest grown

 

TRAINING COURSE IN

3-PG FOREST GROWTH MODEL

Physiological Processes Predicting Growth


INSTRUCTOR: Dr. Carlos A. Gonzalez-Benecke (Esta dirección de correo electrónico está protegida contra spambots. Usted necesita tener Javascript activado para poder verla.)
Oregon State University

HOST ORGANIZER: Dr. M. Paulina Fernández (Esta dirección de correo electrónico está protegida contra spambots. Usted necesita tener Javascript activado para poder verla.)
Pontificia Universidad Católica de Chile

DATE: Tuesday 18th and Wednesday 19th of July, 2017

LOCATION: PONTIFICIA UNIVERSIDAD CATÓLICA DE CHILE

FACULTY OF AGRONOMY AND FOREST ENGINEERING
Santiago, Chile
Address: Av. Vicuña Mackenna 4860, Macul

Information and Registration
PRICE: 200 USD (includes two days' course, materials, coffee and lunch)
Contact e-mail: Magdalena Vargas e-mail: Esta dirección de correo electrónico está protegida contra spambots. Usted necesita tener Javascript activado para poder verla.
Phone: +562 2354 4608

Course organized by SuFoRun Project, a Marie-Curie Action, (http://suforun.ctfc.cat/suforun/), Pontificia Universidad Católica de Chile and Oregon State University - College of Forestry - Chile Initiative

 

The 3-PG model (Physiological Processes Predicting Growth) was developed by Joe Landsberg (CSIRO, Australia) and Richard Waring (Oregon State University, USA) on 1997, as a stand growth model, based on physiological processes. The model calculates total carbon fixed (gross primary production) from utilizable, absorbed photosynthetically active radiation, converting it into biomass production. The efficiency of radiation conversion is modified by the effects of air temperature, atmospheric CO2 concentration, frosts, nutrition, soil moisture, vapor pressure deficit and stand age. The output variables are of interest and relevance to researchers and forest managers. Output includes stem biomass and volume, survival, basal area, as well as the time course of leaf area index and evapotranspiration, between many other stand attributes. The 3-PG model has been successfully parameterized for several forestry species around the world. The model has relatively few parameters and is simple to use. It can be used to evaluate site potential and analyze the probable effects of varying growing conditions or management actions such as thinning or fertilization. It has considerable potential as a tool for estimating carbon sequestration by forests and plantations and has been shown to be a valuable teaching tool.

The course will consider the following topics:

• Introduction to model and underlying assumptions
• Effects of thinning, natural mortality, and defoliation on stand growth
• Distinguish the relative importance of climate and soil properties
• Example of model calibration and validation
• Case studies of model use for different species varying management and site conditions

Biographical Sketch - Dr. Carlos Gonzalez-Benecke: Dr. Gonzalez-Benecke works as Assistant Professor of Forest Regeneration at the Department of Forest Engineering, Resources and Management at Oregon State University, where he also serves as the Director of the Vegetation Management Research Cooperative (VMRC). Previously he worked for 6 years as Research Associate at the School of Forest Resources and Conservation at the University of Florida. Before moving to U.S., Dr. Gonzalez-Benecke worked for 10 years in Chile at Bioforest S.A. as Project Manager of Silvicultural and Nutritional Management and Ecophysiology, developing research on establishment and management of eucalyptus and radiata pine plantations. Dr. Gonzalez-Benecke has a strong experience in forest modeling and ecophysiological assessments of forest trees, producing models of growth, yield and carbon dynamics for loblolly, longleaf and slash pine forests. Recently, Dr. Gonzalez-Benecke parameterized the 3-PG model for loblolly and slash pine forests. AT OSU, together with Dr. Richard Waring, the developer of the model, he teaches graduate level class about 3-PG model.

Dr. Carlos A. Gonzalez-Benecke
Assistant Professor of Forest Regeneration / Director, Vegetation Management Research Cooperative (VMRC)
Department of Forest Engineering, Resources & Management - Oregon State University
Esta dirección de correo electrónico está protegida contra spambots. Usted necesita tener Javascript activado para poder verla.

Selected bibliography:
C.A. Gonzalez-Benecke, R.O. Teskey, Dinon-Aldridge, H. and T.A. Martin. 2017. Pinus taeda growth predictions in the 21st century varies with site mean annual temperature and site quality. Global Change Biology. DOI: 10.1111/gcb.13717.
R.Q. Thomas, E. Brooks, A. Jersild, E. Ward, R. Wynne, T.J. Albaugh, H. Dinon Aldridge, H.E. Burkhart, J-C. Domec, T.R. Fox, C.A. C.A. Gonzalez-Benecke, A. Noormets, D.A. Sampson and R.O. Teskey. Leveraging 35 years of forest research in the southeastern U.S. to constrain carbon cycle predictions: regional data assimilation using ecosystem experiments. Biogeosciences. DOI: 10.5194/bg-2017-46.
A. Susaeta, D.C. Adams, C.A. Gonzalez-Benecke and J. Soto. 2017. Economic feasibility of managing loblolly pine forests for water production under climate change in the Southeastern United States. Forests. DOI: 10.3390/f8030083.
C.A. Gonzalez-Benecke, R.O. Teskey, T.A. Martin, E.J. Jokela, T.R. Fox, M.B. Kane and A. Noormets. 2016. Regional validation and improved parameterization of the 3-PG model for Pinus taeda stands, Forest Ecology and Management 361:237-256.
C.A. Gonzalez-Benecke, E.J. Jokela, W.P. Cropper Jr., R. Bracho and D.J. Leduc. 2014. Parameterization of model 3-PG for Pinus elliottii stands using alternative methods to estimate fertility rating, biomass partitioning and canopy closure, Forest Ecology and Management 327:55-75.

 

2017-07-18 09:00:00
2017-07-19 18:00:00