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

Slides:



Advertisements
Similar presentations
Site and Stocking and Other Related Measurements.
Advertisements

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.
NASP IMDS Stand Density THE BIG THREE: Absolute stand density Quadratic Mean Diameter Basal Area.
Growth Model Users Group Growth Model Run-Off January 2002.
Growth and yield Harvesting Regeneration Thinning Fire and fuels.
Forestry & Society Silviculture HORT/RGSC 302 J.G. Mexal Fall 2005.
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.
1 Effect of Site, Age, and Treatments of Type II Installations on Standing Tree Acoustic Velocity David Briggs, Eric Turnblom, Gonzalo Thienel File: Agenda_2020_TreeLogMill_Study.
Modeling Branch Characteristics In Douglas-fir & Western Hemlock.
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.
Modeling the Effects of Genetic Improvement on Diameter and Height Growth Greg Johnson Weyerhaeuser Company.
 Discuss silvicultural principles related to restoration/fuels treatments  Compare conditions from the 1900 Cheesman Lake reconstruction to current.
1 A hybrid modeling framework for intensively managed Douglas-fir in the Pacific Northwest Aaron Weiskittel Department of Forest Science.
Foliage and Branch Biomass Prediction an allometric approach.
Stem form responses to differing areas of weed control around planted Douglas-fir trees Robin Rose, Douglas A. Maguire, and Scott Ketchum Department of.
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.
21 June 2004 Western Mensurationists Meeting Developing a Whole-stand Model for Douglas-fir Plantations Eric C. Turnblom Samuel D. Pittman.
Fertilizing Interior Forests: the scientific basis (and some informed speculation) Rob Brockley B.C. Ministry of Forests and Range Kalamalka Forestry Centre.
Western Mensurationists’ Meeting – June 20-22, 2004 – Warm Springs, OR 1 Self-referencing height versus age curves David M. Hyink Western/Southern Timberlands.
Effect of retained trees on growth and structure of young Scots pine stands Juha Ruuska, Sauli Valkonen and Jouni Siipilehto Finnish Forest Research Institute,
Modeling Crown Characteristics of Loblolly Pine Trees Modeling Crown Characteristics of Loblolly Pine Trees Harold E. Burkhart Virginia Tech.
Do stem form differences mask responses to silvicultural treatment? Doug Maguire Department of Forest Science Oregon State University.
Sustainable Production Forestry THE JOINT FORCES OF CSIRO & SCION Development of a productivity Index for Douglas-fir Leith Knowles.
Improving the accuracy of predicted diameter and height distributions Jouni Siipilehto Finnish Forest Research Institute, Vantaa
Forest Mensuration II Lectures 11 Stocking and Stand Density
Growth and Yield Lecture 6 (04/17/2015). Overview   Review of stand characteristics that affect growth   Basic Stand Growth Terminology Yield curve;
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.
Silvicultural considerations in established alder stands Jeff DeBell Washington DNR June 10, 2009.
Effects of Intensive Fertilization on the Growth of Interior Spruce Presentation to: Interior Fertilization Working Group February 5/13 (revised March.
Comparisons of DFSIM, ORGANOIN and FVS David Marshall Olympia Forestry Sciences Laboratory PNW Research Station USDA Forest Service Growth Model Users.
Growth Model Users Group November 15, 2013 Greg Johnson Weyerhaeuser NR Company.
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.
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.
Annualized diameter and height growth equations for plantation grown Douglas- fir, western hemlock, and red alder Aaron Weiskittel 1, Sean Garber 1, Greg.
Comparing ORGANON & SPS Using the Bakuzis Matrix Growth Model Users Group December 15, 2005 Dave Hamlin.
Establishing Plots to Monitor Growth and Treatment Response Some do’s and don’ts A discussion.
Incorporating Genetics into Growth Models: Results from Block-Plot Trials of Douglas-Fir Peter Gould and Brad St Clair PNW Research Station Keith Jayawickrama.
Incorporating Climate and Weather Information into Growth and Yield Models: Experiences from Modeling Loblolly Pine Plantations Ralph L. Amateis Department.
Gary W. Miller USDA Forest Service Northern Research Station Morgantown, West Virginia Intermediate Stand Management – The Crop Tree Approach.
LESSON 5 - STATISTICS & RESEARCH STATISTICS – USE OF MATH TO ORGANIZE, SUMMARIZE, AND INTERPRET DATA.
GROWTH AND YIELD How will my forest grow? Dr. Glenn Glover School of Forestry & Wildlife Sciences Auburn University.
CFI NPT Forestry & Fire Management Division.
Genotype by silviculture interactions on growth, stand uniformity and leaf-level gas exchange of loblolly pine varieties Marco Yanez, Thomas Fox, John.
Perspectives from a REIT Growth and Yield Modeling Architecture and Treatment Response Models – The Rayonier Approach J.P. MCTAGUE Western Mensurationists.
Leah Rathbun PhD Candidate, University of British Columbia
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
Other Cruise Methods.
Manipulate broadleaf density Tend individual Sw
Temporal and spatial variability in stand structure and individual-tree growth for 10 years following commercial thinning in spruce-fir forests of northern.
Developing Edition 3.0 of CIPSANON
How does DNR’s Remote-Sensing Inventory Stack Up Against Cruises?
Presentation transcript:

Sustainable Production Forestry THE JOINT FORCES OF CSIRO & SCION Application of the New Zealand Douglas-fir stand-level growth model to data from the PNW Leith Knowles and Lars Hansen

THE JOINT FORCES OF CSIRO & SCION

NZ stand-level growth model (DF NAT)  Based on data from 1600 permanent plots  MTH = fn(SI, age and latitude)  Current annual BA increment = fn(SBAP, age, crown, competition)  Mortality = fn(stocking, DBH) based on Reineke’s 3/2 rule  BA after thinning: BA2 = BA1*(N2/N1) a

THE JOINT FORCES OF CSIRO & SCION PNW validation data Jim Flewelling facilitated access to data from the Stand Management Cooperative, University of Washington 27 silvicultural trials (installations) 303 sample plots Stands 3-28 yrs of age Roger Fight, US Forest Service, PNW Research Station also contributed to the study

THE JOINT FORCES OF CSIRO & SCION Fit of PNW data against NZ ht/age curves

THE JOINT FORCES OF CSIRO & SCION Ht/age curves refitted to PNW data

THE JOINT FORCES OF CSIRO & SCION New PNW ht/age curves

THE JOINT FORCES OF CSIRO & SCION Cumulative distribution of Site Index NZ PNW

THE JOINT FORCES OF CSIRO & SCION In PNW, SI increases with stocking

THE JOINT FORCES OF CSIRO & SCION NZ mortality function slightly underpredicts for PNW

THE JOINT FORCES OF CSIRO & SCION Different definitions for height to crown base  PNW: height above ground to lowest whorl where 3 out of 4 quadrants contain live branches  NZ: the average of height above ground to lowest live branch, and height above ground to lowest whorl with majority of branches live

THE JOINT FORCES OF CSIRO & SCION Predicted vs observed crown length for PNW data

THE JOINT FORCES OF CSIRO & SCION Thinning coefficient fitted for each thinning on each plot BA after thinning: BA2 = BA1*(N2/N1) a  PNW first thinning a = 0.77  PNW second thinning a = 0.82  Average NZ a = 0.71  Average GB a = 0.66  Average Germany a = 0.83

THE JOINT FORCES OF CSIRO & SCION SBAP sets BA ‘level’

THE JOINT FORCES OF CSIRO & SCION Cumulative distribution of SBAP NZ PNW

THE JOINT FORCES OF CSIRO & SCION SBAP in PNW trials independent of stocking

THE JOINT FORCES OF CSIRO & SCION Site Index and BA potential are poorly correlated

THE JOINT FORCES OF CSIRO & SCION 500-Index Volume MAI (m 3 /ha/yr) for a stand that has been thinned to waste to 500 stems/ha by 15m MTH, and grown on to age 40 years  Best growth installation 717: 17.4 m 3 /ha/yr  Poorest growth installation 501: 5.5 m 3 /ha/yr  Average for 27 installations: 12.4 m 3 /ha/yr  Compares to NZ average of 18.4 m 3 /ha/yr

THE JOINT FORCES OF CSIRO & SCION 500 index for 27 PNW installations

THE JOINT FORCES OF CSIRO & SCION Overall, DF NAT works well against PNW data

THE JOINT FORCES OF CSIRO & SCION Conclusions  SI similar 40 years)  SBAP higher in NZ (1.88) vs PNW (1.2)  500-index higher in NZ (18.4) vs PNW (12.4)  Slightly higher mortality in PNW  DF NAT needed new height-to-crown-base prediction function  Despite productivity differences (BA not SI), DF NAT works well in PNW  Valuable to repeat the exercise in 5-10 years

THE JOINT FORCES OF CSIRO & SCION Questions and answers