Sustainable Production Forestry THE JOINT FORCES OF CSIRO & SCION Development of a productivity Index for Douglas-fir Leith Knowles.

Slides:

Advertisements

Similar presentations

EU INTAS SILVICS Project Pushchino Research Centre of the Russian Academy of Sciences Institute of Mathematical Problems in Biology (Pushchino.

Advertisements

Site and Stocking and Other Related Measurements.

A JOINT VENTURE OF CSIRO & FOREST RESEARCH Ensis-Genetics THE JOINT FORCES OF CSIRO & SCION Harry Wu and Milos Ivkovich Breeding For Wood Quality And End-Products.

1 Yield Implications of Variable Retention Harvesting VR Team: Mario Di Lucca, Ken Polsson, Jim Goudie, and Tim Bogle Research & Timber Supply Branches.

Modeling Tree Growth Under Varying Silvicultural Prescriptions Leah Rathbun University of British Columbia Presented at Western Mensurationists 2010.

SENSITIVITY ANALYSIS of the FOREST VEGETATION SIMULATOR Southern Variant (FVS-Sn) Nathan D. Herring Dr. Philip J. Radtke Virginia Tech Department of Forestry.

Forest Mensuration II Lecture 11: Stocking and Stand Density Nick Buda Northwest Science and Information Ontario Ministry of Natural Resources November.

The Effects of Site and Soil on Fertilizer Response of Coastal Douglas-fir K.M. Littke, R.B. Harrison, and D.G. Briggs University of Washington Coast Fertilization.

Criterion 3 Maintenance and encouragement of productive functions of eucalyptus J-N Marien, AFOCEL Pedro Lencart, CELBI Clara Araújo, CELBI Juan Picos,

Thinning Impacts on Even-aged Stands of Eucalyptus in Brazil Thinning Impacts on Even-aged Stands of Eucalyptus in Brazil June 21, 2010 Missoula, MT Western.

Use of FVS for a Forest-wide Inventory SPOKANE INDIAN RESERVATION.

Modeling Effects of Genetic Improvement in Loblolly Pine Plantations Barry D. Shiver Stephen Logan.

Examining Clumpiness in FPS David K. Walters Roseburg Forest Products.

Impact of plot size on the effect of competition in individual-tree models and their applications Jari Hynynen & Risto Ojansuu Finnish Forest Research.

Brief History of Site Quality Estimation from a Forest Mensuration Perspective Eric C. Turnblom ESRM Forest Soils and Site Productivity - Autumn.

A Young Douglas-fir Plantation Growth Model for the Pacific Northwest Nick Vaughn University of Washington College of Forest Resources.

Summary of results from the Regional Forest Nutrition Research Project and Stand Management Cooperative Rob Harrison, Dave Briggs, Eric Turnblom, Bob Gonyea,

Estimating Response of Douglas-fir to Urea in Western Oregon & Washington By: Eric Sucre M.S. Thesis Defense.

What Do You See? Message of the Day: The management objective determines whether a site is over, under, or fully stocked.

Materials and Methods Stand Management Cooperative (SMC) Type 1 Installations Research Plots Six 1 acre Douglas-fir plots per installation were examined.

Estimation and Application of Genetic- Gain Multipliers for Douglas-Fir Height and Diameter Growth Peter J. Gould 1, David D. Marshall 2, Randy Johnson.

Uneven-aged Management II. Lecture 10 (5/4/2015).

 Discuss silvicultural principles related to restoration/fuels treatments  Compare conditions from the 1900 Cheesman Lake reconstruction to current.

West Virginia University Division of Forestry 3 rd Forest Vegetation Simulator Conference February 13-15, 2007 Fort Collins, Colorado.

 Used by NRCS foresters  Simple and Quick way to determine  Average tree diameter  Range of tree diameters  Trees per acre  Stand composition 

Site Index Modeling in Poland: Its History and Current Directions Michał Zasada 1,2 and Chris J. Cieszewski 1 1 Warnell School of Forest Resources, University.

Fire Prevention as a GHG Mitigation Strategy Presented by Robert Beach, RTI International Brent Sohngen, The Ohio State University Presented at Forestry.

The Potential of the Alder Resource: Challenges and Opportunities David Hibbs and Andrew Bluhm Hardwood Silviculture Cooperative Department of Forest Science.

Modeling Crown Biomass for Three North Idaho Conifers Ann Abbott Rocky Mountain Research Station, Moscow Forestry Sciences Laboratory and University of.

FORESTRY AND FOREST PRODUCTS Project Level Carbon Accounting Toolkit CSIRO Forestry and Forest Products Department of Forestry, Australian National University.

Fertilizing Interior Forests: the scientific basis (and some informed speculation) Rob Brockley B.C. Ministry of Forests and Range Kalamalka Forestry Centre.

Generic Approaches to Model Validation Presented at Growth Model User’s Group August 10, 2005 David K. Walters.

Multiple regression models Experimental design and data analysis for biologists (Quinn & Keough, 2002) Environmental sampling and analysis.

Strategic criteria for compensating Natura areas Allan Sims, Allar Padari.

Effects of Regeneration Abundance on Predicted Development of Interior Douglas-fir Stands By Cornel Lencar Graduate Student, Faculty of Forestry University.

Do stem form differences mask responses to silvicultural treatment? Doug Maguire Department of Forest Science Oregon State University.

Juvenile growth open-pollinated larch families in Polish – France experiments on trials in Poland Jan Kowalczyk IBL, P19 seminar „GENETIC VARIABILITY AND.

Course Review FORE 3218 Course Review  Sampling  Inventories  Growth and yield.

Then… ….and Now. 2 Old growth Second growth Stand age vs. percent of juvenile wood When trees grow rapidly so that they are of harvestable size when.

Thinning mixed-species stands of Douglas-fir and western hemlock in the presence of Swiss needle cast Junhui Zhao, Douglas A. Maguire, Douglas B. Mainwaring,

“The MB&G Silviculture Support System” Steve Fairweather Ellen Voth Reggie Fay Mason, Bruce & Girard, Inc. Portland, Oregon GMUG 12/15/05.

Comparisons of DFSIM, ORGANOIN and FVS David Marshall Olympia Forestry Sciences Laboratory PNW Research Station USDA Forest Service Growth Model Users.

Scatter Diagrams scatter plot scatter diagram A scatter plot is a graph that may be used to represent the relationship between two variables. Also referred.

CO2FIX Introduction and exercise Developing Forestry and Bioenergy Projects within CDM Ecuador March, 2004.

Eucalyptus globoidea productivity in New Zealand Dean Meason, Tobias Herrman, Christine Todoroki.

Looking for the Plateau in Douglas-fir Annual Volume Increment

RAP-ORGANON A Red Alder Plantation Growth Model David Hibbs, David Hann, Andrew Bluhm, Oregon State University.

ESRM 410 Forest Soils and Site Productivity 2013 Nutrient Limitation ‘What if Scenario’

Linear Correlation (12.5) In the regression analysis that we have considered so far, we assume that x is a controlled independent variable and Y is an.

Sustainable Production Forestry THE JOINT FORCES OF CSIRO & SCION Application of the New Zealand Douglas-fir stand-level growth model to data from the.

Understanding Site-Specific Factors Affecting the Nutrient Demands and Response to Fertilizer by Douglas-fir Center for Advanced Forestry Systems 2010.

Research Update Coastal Douglas-fir Fertilization Ian R. Cameron, RPF Kamloops BC Eleanor R.G. McWilliams, RPF North Vancouver BC.

Comparing ORGANON & SPS Using the Bakuzis Matrix Growth Model Users Group December 15, 2005 Dave Hamlin.

Silvicultural Prescription Rob Lusk. B All Species PlotTPATPA SD Basal Area BA SD Average Stand Diameter Average Stand Diameter SD Mean Quadratic Diameter.

Lecture 4 Forestry 3218 Avery and Burkhart, Chapter 3 Shiver and Borders, Chapter 5 Forest Mensuration II Lecture 4 Stratified Random Sampling.

Module 25: Confidence Intervals and Hypothesis Tests for Variances for One Sample This module discusses confidence intervals and hypothesis tests.

GROWTH AND YIELD How will my forest grow? Dr. Glenn Glover School of Forestry & Wildlife Sciences Auburn University.

Forest Management Service Center Providing Biometric Services to the National Forest System Program Emphasis: We provide products and technical support.

ENHANCING CARBON RETENTION THROUGH IMPROVED FOREST MANAGEMENT

PRESENTATION SLIDES Measurements taken from pine and eucalyptus plantation demonstration sites in the Southern Highlands, Tanzania All material is open.

and Other Related Measurements

Cruise Summaries.

Manipulate broadleaf density Tend individual Sw

Jean-Michel Carnus, Hervé Jactel, Floor Vodde

Uneven-aged Management II.

Confidence Intervals and Hypothesis Tests for Variances for One Sample

Developing Edition 3.0 of CIPSANON

Young Stand Monitoring

The Swedish National Forest Inventory

Estimating the value of forest land by using the direct approach

Presentation transcript:

Sustainable Production Forestry THE JOINT FORCES OF CSIRO & SCION Development of a productivity Index for Douglas-fir Leith Knowles

THE JOINT FORCES OF CSIRO & SCION Productivity Indices Site Index (SI) Independent of silviculture Site basal Area Potential (SBAP) Derived from sample plots. The SBAP is the value that makes the growth model BA increment best match the sample plot BA increment. The overall plot mean SBAP is calculated as the period- weighted mean over all increment periods. Independent of silviculture Is it possible to develop one simple volume index by combining the two?

THE JOINT FORCES OF CSIRO & SCION Methods TSV=a*MTH*BA TSV=a*SI b *SBAP c MAI =TSV/rotation age

THE JOINT FORCES OF CSIRO & SCION SI and SBAP for 1365 sample plots

THE JOINT FORCES OF CSIRO & SCION SI and SBAP matrix minmaxintervalNumber SI20m40m4m6 SBAP

THE JOINT FORCES OF CSIRO & SCION

What is 500 Index?  500 index is simply the predicted MAI of a stand planted at 1500 stems/ha, thinned to 500 stems/ha by 15m MTH, and grown to age 40 years

THE JOINT FORCES OF CSIRO & SCION Results 500 Index = a*SI b *SBAP c Where a= b=1.344 c=0.0973

THE JOINT FORCES OF CSIRO & SCION 500 Index compared to MAI from DF NAT

THE JOINT FORCES OF CSIRO & SCION SBAP can be predicted from SI and 500 Index SBAP=(500 Index/a*SI b )) d Where a= b=1.344 d=1.028

THE JOINT FORCES OF CSIRO & SCION Sensitivity of 500 Index to changes in silviculture  age 10 years (1500 stems/ha) 200 stems/ha=1% change in 500 Index  MTH at thinning (15m) 1m=1.15% in 500 Index  Final crop stocking (500 stems/ha) 100 stems/ha=6.6% in 500 Index

THE JOINT FORCES OF CSIRO & SCION Latitude abc 38 0 S S S

THE JOINT FORCES OF CSIRO & SCION 500 index can be estimated by region

THE JOINT FORCES OF CSIRO & SCION ….. and by forest

THE JOINT FORCES OF CSIRO & SCION Conclusions  Both SI and SBAP are needed to explain site productivity  These can be combined to predict MAI for a standard regime (500 Index)  Productivity of Douglas-fir on most sites in NZ is now expressed in terms of 500 Index  500 Index included in DF Calc V2

THE JOINT FORCES OF CSIRO & SCION Questions and answers