21 June 2004 Western Mensurationists Meeting Developing a Whole-stand Model for Douglas-fir Plantations Eric C. Turnblom Samuel D. Pittman.

Slides:



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

1st of 3 Part Training Series Christopher Woodall INTRODUCTION TO THE P2+ DOWN WOODY MATERIALS INDICATOR.
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.
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.
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.
NASP IMDS Stand Density THE BIG THREE: Absolute stand density Quadratic Mean Diameter Basal Area.
Northwest Advanced Renewables Alliance Douglas-fir biomass and nutrient removal under varying harvest intensities designed for co-production of timber.
Growth and yield Harvesting Regeneration Thinning Fire and fuels.
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.
Predicting Nitrogen Fertilizer Response in Douglas-fir Plantations Kim Littke Rob Harrison.
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.
1 Nutrition Current Situation RFNRP completed measurements of last phase in 1998 Fertilization is part of auxiliary plots on Type I Installations –extends.
15 September 2003 SMC Fall Policy Meeting TreeLab (v1.0) Variable-density Yield Simulator for Immature, Managed Stands of Douglas-fir Sam D. Pittman Eric.
Simulating growth impacts of Swiss needle cast in Douglas-fir: The blood, sweat and tears behind the ORGANON growth multiplier Sean M. Garber April 26,
Summary of results from the Regional Forest Nutrition Research Project and Stand Management Cooperative Rob Harrison, Dave Briggs, Eric Turnblom, Bob Gonyea,
Fall River Long-term Productivity Study : Predictions of Pre-harvest Biomass and Nutrient Pools K. Petersen, B. Strahm, C. Licata, B. Flaming, E. Sucre,
Estimating Response of Douglas-fir to Urea in Western Oregon & Washington By: Eric Sucre M.S. Thesis Defense.
9/17/071 Community Properties Reading assignment: Chapter 9 in GSF.
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.
First Measurements of 2005 GGTIV* Installations Eric C. Turnblom, SMC Keith Jayawickrama, NWTIC SMC Spring Policy Meeting, 25 – 26 Apr 2007 Vancouver,
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.
Bringing stand level fire risk to the landscape level: Fire risk assessment using FFE-FVS with the Landscape Management System. Kevin Ceder And James McCarter.
1 A hybrid modeling framework for intensively managed Douglas-fir in the Pacific Northwest Aaron Weiskittel Department of Forest Science.
1 Density and Stocking. 2 Potential of the land to produce wood is determined mainly by its site quality. The actual production or growth of wood fiber.
Foliage and Branch Biomass Prediction an allometric approach.
The Potential of the Alder Resource: Challenges and Opportunities David Hibbs and Andrew Bluhm Hardwood Silviculture Cooperative Department of Forest Science.
Introduction to the FIA Down Woody Materials Indicator 1st of 3 Part Training Series Christopher Woodall DWM National Indicator Advisor.
A New Effort to Study Intensively Managed Pine Plantations CAPPS - Consortium for Accelerated Pine Production Studies.
Modeling Crown Characteristics of Loblolly Pine Trees Modeling Crown Characteristics of Loblolly Pine Trees Harold E. Burkhart Virginia Tech.
Lecture 10 FORE 3218 Forest Mensuration II Lectures 10 Site Productivity Avery and Burkhart, Chapter 15.
Do stem form differences mask responses to silvicultural treatment? Doug Maguire Department of Forest Science Oregon State University.
Projected Deliverables: Estimates of N losses due to leaching, volatilization, and uptake by competing understory vegetation Determine the relative efficiency.
Growth and Yield Lecture 6 (04/17/2015). Overview   Review of stand characteristics that affect growth   Basic Stand Growth Terminology Yield curve;
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,
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.
By Klaus Puettmann & Mike Saunders Department of Forest Resources, University of Minnesota A New Tool for White Spruce Management: Density Management Guides.
Over 80 years Late-successional Old-growth Raymond Davis Monitoring Lead Older Forests and Spotted Owls (Northwest Forest Plan Area) Defining Older Forests.
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.
Modeling regional variation in the self-thinning boundary line Aaron Weiskittel Sean Garber Hailemariam Temesgen.
SMC Silviculture Project Report Eric C. Turnblom Silviculture Project Leader, SMC SMC Spring Policy Meeting, 25 – 26 Apr 2007 Vancouver, WA.
Understanding Site-Specific Factors Affecting the Nutrient Demands and Response to Fertilizer by Douglas-fir Center for Advanced Forestry Systems 2010.
Risk to Long-term Site Productivity Due to Whole-tree Harvesting in the Coastal Pacific Northwest Austin Himes 1,2, Rob Harrison 1, Darlene Zabowski 1,
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.
Incorporating Genetics into Growth Models: Results from Block-Plot Trials of Douglas-Fir Peter Gould and Brad St Clair PNW Research Station Keith Jayawickrama.
Citation: Kato, A.., L. M. Moskal., P. Schiess, M. Swanson, D. Calhoun and W. Stuetzel, LiDAR based tree crown surface reconstruction. Factsheet.
Gary W. Miller USDA Forest Service Northern Research Station Morgantown, West Virginia Intermediate Stand Management – The Crop Tree Approach.
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.
Perspectives from a REIT Growth and Yield Modeling Architecture and Treatment Response Models – The Rayonier Approach J.P. MCTAGUE Western Mensurationists.
and Other Related Measurements
Rapeepan Kantavichai, PhD student
N Fertilization of PNW Forests: Things we know and some things we ought to Jeff DeRoss 4/26/07.
Manipulate broadleaf density Tend individual Sw
Developing Edition 3.0 of CIPSANON
Tree List Generator (TLG) v1.0
What Do You See? Message of the Day: Informed forest management decisions need information about current and projected conditions.
Presentation transcript:

21 June 2004 Western Mensurationists Meeting Developing a Whole-stand Model for Douglas-fir Plantations Eric C. Turnblom Samuel D. Pittman

21 June 2004Western Mensurationists Meeting Whole-stand Model – Topics Introduction Introduction Model Development Model Development Biological / Model Theory Biological / Model Theory Equations / Data / Fitting Equations / Data / Fitting Fit Assessment / Model evaluation Fit Assessment / Model evaluation Model Uses & Future Work Model Uses & Future Work Conclusion Conclusion

21 June 2004Western Mensurationists Meeting Introduction Stand Management Cooperative Stand Management Cooperative Mission Mission To provide a continuing source of high-quality information on the long-term effects of silvicultural treatments and regimes on stand and tree growth and development and on wood and product quality To provide a continuing source of high-quality information on the long-term effects of silvicultural treatments and regimes on stand and tree growth and development and on wood and product quality

21 June 2004Western Mensurationists Meeting Introduction Stand Management Cooperative Stand Management Cooperative Objectives Objectives To support modeling To support modeling Installations contain a wider range of treatments than current practice Installations contain a wider range of treatments than current practice To support managers To support managers Provide timely information and guidance to those who are managing similar stands Provide timely information and guidance to those who are managing similar stands

21 June 2004Western Mensurationists Meeting Stand Management Cooperative Membership Membership Companies: Companies: Boise Cascade, Longview Fiber, Port Blakely Tree Farms, West Fork Timber, etc. (15 in total) Tribal Lands: Tribal Lands: Quinault Dept. Natural Resources Federal Agencies: Federal Agencies: Bureau of Land Management State & County Agencies: State & County Agencies: ODF, WA DNR, King Co. DNR Institutions: Institutions: BC Ministry Of Forests, FORINTEK Canada, USFS PNW Research Station Universities: Universities: OSU, UBC, UW Suppliers: Suppliers: Agrium UJS, Inc., JR Simplot Co., etc.

21 June 2004Western Mensurationists Meeting Stand Management Cooperative Organization: Organization: Policy Committee Policy Committee (chair, vice-chair) Director Director Projects, Field Crew, Database Management, Office Staff Project (Technical Advisory Committees, or TAC’s) Nutrition Silviculture Wood Quality Modeling

21 June 2004Western Mensurationists Meeting Stand Management Cooperative What’s measured What’s measured Tree and derived Stand Attributes Tree and derived Stand Attributes Live: Species, DBH, Height, height-to-crown base, crown width, damage Live: Species, DBH, Height, height-to-crown base, crown width, damage Dead: size & condition of snags until fallen Dead: size & condition of snags until fallen Branch Measurements (BH) Branch Measurements (BH) Largest Branch diameter, branch count (live & dead) Largest Branch diameter, branch count (live & dead) Understory Vegetation Understory Vegetation Average foliage height, coverage (%) by species Average foliage height, coverage (%) by species

21 June 2004Western Mensurationists Meeting Stand Management Cooperative What’s Measured What’s Measured Habitat Indicators Habitat Indicators Depth of duff to mineral soil, FSD (%) Depth of duff to mineral soil, FSD (%) Site Characterization Site Characterization Soil Soil 0 - 6”, ” composited from five sample points per plot 0 - 6”, ” composited from five sample points per plot Forest Floor Forest Floor 1 sq. ft plots, four per measurement sample plot 1 sq. ft plots, four per measurement sample plot Foliar Nutrients Foliar Nutrients Upper 1/3 of crown, 1 year after fertilization, 12 trees per plot Upper 1/3 of crown, 1 year after fertilization, 12 trees per plot

21 June 2004Western Mensurationists Meeting Stand Management Cooperative History History Regional Forest Research Nutrition Project (RFNRP) Regional Forest Research Nutrition Project (RFNRP) Commenced in 1969 (western WA, OR) Commenced in 1969 (western WA, OR) Stand Management Cooperative (SMC) Stand Management Cooperative (SMC) Formed 1985, 1st operational year 1986 Formed 1985, 1st operational year 1986 Western WA, OR, southwestern BC Western WA, OR, southwestern BC In 1991, RFNRP rolled into SMC Nutrition Project In 1991, RFNRP rolled into SMC Nutrition Project

21 June 2004Western Mensurationists Meeting Stand Management Cooperative Cohorts Cohorts RFNRP RFNRP Phase I: Unthinned natural stands, originating 1930’s Phase I: Unthinned natural stands, originating 1930’s Phase II: Thinned natural stands, originating 1930’s Phase II: Thinned natural stands, originating 1930’s Phase III: Young thinned plantations, planted 1940’s Phase III: Young thinned plantations, planted 1940’s Phase IV: Precommercially thinned plantations; 1960’s Phase IV: Precommercially thinned plantations; 1960’s SMC SMC Type I: Variously treated plantations; 1970’s Type I: Variously treated plantations; 1970’s Type II: Variously thinned plantations; 1950’s Type II: Variously thinned plantations; 1950’s Type III: Range of planting spacings; late 80’s - 90’s Type III: Range of planting spacings; late 80’s - 90’s Type IV: Range of planting spacings, genetics; 2K’s Type IV: Range of planting spacings, genetics; 2K’s

21 June 2004Western Mensurationists Meeting Introduction … Study & Modeling Objectives Study & Modeling Objectives Benchmark existing growth simulators Benchmark existing growth simulators Summarize early growth & development of immature, managed stands of Douglas-fir Summarize early growth & development of immature, managed stands of Douglas-fir Investigate and understand the influence of stand structure on growth and yield Investigate and understand the influence of stand structure on growth and yield Produce variable-density growth and yield tables in user-friendly format Produce variable-density growth and yield tables in user-friendly format

21 June 2004Western Mensurationists Meeting Whole-stand Model for Douglas-fir Model Development Model Development Biological / Model Theory Biological / Model Theory Equations / Data / Fitting Equations / Data / Fitting Fit Assessment / Model evaluation Fit Assessment / Model evaluation Model Uses & Future Work Model Uses & Future Work Conclusion Conclusion

21 June 2004Western Mensurationists Meeting Model Development Biological Theory Biological Theory Growing space Growing space As available space decreases, so does potential for growth As available space decreases, so does potential for growth Allometric relationships Allometric relationships Relate growth in part of an organism to another part Relate growth in part of an organism to another part Maximum (limiting) size - density relationships Maximum (limiting) size - density relationships Only so much biomass can be “packed” into available space Only so much biomass can be “packed” into available space

21 June 2004Western Mensurationists Meeting Biological Theory Maximum (limiting) size – density relationship Maximum (limiting) size – density relationship (Xue, et al. 1999)

21 June 2004Western Mensurationists Meeting Biological Theory Every stand has a unique self-thinning boundary line driven by its unique stand allometry Every stand has a unique self-thinning boundary line driven by its unique stand allometry (Turnblom & Burk 2000)

21 June 2004Western Mensurationists Meeting Biological Theory Stand allometry is dynamic, not static; allometric relationships change with stage of development Stand allometry is dynamic, not static; allometric relationships change with stage of development The rate at which a stand variable changes is found by differencing gross growth & respiration (anabolic & catabolic processes, respectively) The rate at which a stand variable changes is found by differencing gross growth & respiration (anabolic & catabolic processes, respectively) The magnitudes of the anabolic and catabolic processes depend on the current state of the stand and is affected by site quality The magnitudes of the anabolic and catabolic processes depend on the current state of the stand and is affected by site quality

21 June 2004Western Mensurationists Meeting Model Theory The current state of the stand can be described by the triplet (stand basal area, quadratic mean DBH, and dominant height) The current state of the stand can be described by the triplet (stand basal area, quadratic mean DBH, and dominant height) Dynamic allometry is captured through simultaneous, coupled rate equations Dynamic allometry is captured through simultaneous, coupled rate equations

21 June 2004Western Mensurationists Meeting Model Equations

21 June 2004Western Mensurationists Meeting Model Fitting Data Untreated, pure DF (> 80% by BA) plots Untreated, pure DF (> 80% by BA) plots Initial BHA averaged 14 years, ranging to 51 years Initial BHA averaged 14 years, ranging to 51 years Site index from 85 to yrs BHA (King) Site index from 85 to yrs BHA (King) 459 plots total; 249 used in fitting, 210 for benchmarking 459 plots total; 249 used in fitting, 210 for benchmarking Measured every 4 yr, ranging 1 to 6, averaging 4.4 Measured every 4 yr, ranging 1 to 6, averaging 4.4 Single plot measurements span 4 to 26 yrs Single plot measurements span 4 to 26 yrs

21 June 2004Western Mensurationists Meeting Model Fitting Parameterization First order, centered differencing used to create a differential data set matching a yield data set constructed from mid-point of yield values First order, centered differencing used to create a differential data set matching a yield data set constructed from mid-point of yield values System of three equations was fit to the data using the objective function System of three equations was fit to the data using the objective function

21 June 2004Western Mensurationists Meeting Fit Evaluation Residual graphs were examined Residual graphs were examined Visual quality of predicted trajectories were assessed for agreement with known biological behaviors Visual quality of predicted trajectories were assessed for agreement with known biological behaviors Attempts were made to augment the system of equations with other system state variables (e.g. stand form) Attempts were made to augment the system of equations with other system state variables (e.g. stand form)

21 June 2004Western Mensurationists Meeting Fit Evaluation Residual plotting Residual plotting

21 June 2004Western Mensurationists Meeting Fit Evaluation Residual plotting Residual plotting

21 June 2004Western Mensurationists Meeting Model Evaluation Results - biological behavior Results - biological behavior Growth & yield dynamics on two sites Growth & yield dynamics on two sites High site (dashed): SI= 145 High site (dashed): SI= 145 Low site (solid): SI= 85 Low site (solid): SI= 85 Otherwise similar in Q, B, H, Age Otherwise similar in Q, B, H, Age

21 June 2004Western Mensurationists Meeting Model Evaluation Biological behavior Biological behavior

21 June 2004Western Mensurationists Meeting Model Evaluation Biological behavior Biological behavior

21 June 2004Western Mensurationists Meeting Model Evaluation Biological behavior Biological behavior

21 June 2004Western Mensurationists Meeting Model Evaluation Trajectory behavior Trajectory behavior

21 June 2004Western Mensurationists Meeting Whole-stand Model for Douglas-fir Model Uses & Future Work Model Uses & Future Work Conclusion Conclusion

21 June 2004Western Mensurationists Meeting Model Uses & Future Work Boundary conditions to individual-based or tree-list models Boundary conditions to individual-based or tree-list models TreeLab (v1.0) TreeLab (v1.0) Variable-density yield simulator for immature, managed Douglas-fir plantations Variable-density yield simulator for immature, managed Douglas-fir plantations Site productivity evaluation & modeling in management- oriented and process-based growth model hybrids (proposal to USFS / AFPA collab.) Site productivity evaluation & modeling in management- oriented and process-based growth model hybrids (proposal to USFS / AFPA collab.)

21 June 2004Western Mensurationists Meeting TreeLab (v1.0)

21 June 2004Western Mensurationists Meeting TreeLab (v1.0)

21 June 2004Western Mensurationists Meeting Site productivity modeling This proposed research seeks to: This proposed research seeks to: Better understand mechanisms driving forest growth & productivity in young DF stands Better understand mechanisms driving forest growth & productivity in young DF stands Examine & interpret association between environmental & HydroGeoMorphic attributes of a site / stand and parameters of the TreeLab whole- stand model Examine & interpret association between environmental & HydroGeoMorphic attributes of a site / stand and parameters of the TreeLab whole- stand model High potential to derive a site-characterization parameter to augment site index High potential to derive a site-characterization parameter to augment site index

21 June 2004Western Mensurationists Meeting Conclusion … Whole-stand Model propositions Whole-stand Model propositions Unique self-thinning boundary for each stand Unique self-thinning boundary for each stand Stand allometry is dynamic, not static Stand allometry is dynamic, not static Changes in stand attributes are represented as a coupled system of rate equations that govern allometry Changes in stand attributes are represented as a coupled system of rate equations that govern allometry Whole-stand model with the most plantation data Whole-stand model with the most plantation data Young data set (for stand development) Young data set (for stand development) Based on assumed maximums (BA, QMD and H top ) Based on assumed maximums (BA, QMD and H top )

21 June 2004Western Mensurationists Meeting … Conclusion Please visit Please visit To download, click on the TREELAB link (LHS) To download, click on the TREELAB link (LHS) Eric C. Turnblom Eric C. Turnblom