CAPPS - UGA Consortium for Accelerated Pine Production Studies (CAPPS) Long-Term Trends in Loblolly Pine Stand Productivity and Characteristics in Georgia.

Slides:



Advertisements
Similar presentations
Returns and Yields 2005 AFA Landowner Clinic April 9, 2005 Magnolia, Arkansas Matthew H. Pelkki University of Arkansas-Monticello School of Forest Resources.
Advertisements

Do In and Post-Season Plant-Based Measurements Predict Corn Performance and/ or Residual Soil Nitrate? Patrick J. Forrestal, R. Kratochvil, J.J Meisinger.
Morteza Mozaffari Soil Testing and Research Laboratory, Marianna Efforts to Improve N Use Efficiency of Corn in Arkansas Highlights of Research in Progress.
1.Area regulation 2.Volume regulation 3.Structural regulation Approaches to regulation in the selection method and maintaining a balanced stand with sustainable.
EVALUATION OF GREENSEEKER FOR NITROGEN FETILIZATION IN COTTON ALABAMA REPORT 1 Evaluation of Green Seeker for Nitrogen Fertilization in Cotton – Preliminary.
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.
Nitrogen and Biomass Content, and Nitrogen and Water Uptake Parameters of Citrus Grown on Sandy Soils in Central Florida Ph.D. Exit Seminar Soil and Water.
Individual Tree Taper, Volume and Weight for Loblolly Pine Bruce E. Borders Western Mensurationists Fortuna, CA June 18-20, 2006.
Growth and yield Harvesting Regeneration Thinning Fire and fuels.
Modeling Effects of Genetic Improvement in Loblolly Pine Plantations Barry D. Shiver Stephen Logan.
Impact of plot size on the effect of competition in individual-tree models and their applications Jari Hynynen & Risto Ojansuu Finnish Forest Research.
Forest Fertilization: Two Topics Roderick Negrave PhD, RPF, PAg Research Section Head, Coast Area MNRO, Nanaimo.
Brief History of Site Quality Estimation from a Forest Mensuration Perspective Eric C. Turnblom ESRM Forest Soils and Site Productivity - Autumn.
1 Nutrition Current Situation RFNRP completed measurements of last phase in 1998 Fertilization is part of auxiliary plots on Type I Installations –extends.
Effects of Biomass Production and Harvesting on Environmental Quality Erik B. Schilling National Council for Air & Stream Improvement Southern Regional.
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.
Juvenile Wood in Pines. Overview Basics Of Wood Production What Is Juvenile Wood Characteristics What influences Juvenile Wood What Are The Problems With.
The Effects of Nitrogen Fertilization on Nutrient Cycling and Forest Productivity By: Eric Sucre.
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.
Modeling the Effects of Genetic Improvement on Diameter and Height Growth Greg Johnson Weyerhaeuser Company.
 Used by NRCS foresters  Simple and Quick way to determine  Average tree diameter  Range of tree diameters  Trees per acre  Stand composition 
Bamboo Resources, Management and Production in China Lou Yiping, Ph. D International Network for Bamboo and Rattan.
Module #1 Economic Considerations Pine Silvopasture in the Southeast.
Soil Nutrient Availability Following Application of Biosolids to Forests in Virginia. Eduardo C. Arellano and Thomas R. Fox Department of Forestry, Blacksburg,
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.
Dendroecology of Piñon Trees At the Los Pinos Mountains on the Sevilleta National Wildlife Refuge By Jason Lopez.
WP2. Adaptability and Productivity Field Trials Results from the fourth growing period and comparison of the results recorded from the years 2003, 2004.
Return to FIA Home CURRENT U.S. FOREST DATA AND MAPS CURRENT U.S. FOREST DATA AND MAPS Forest age Forest ownership Timber harvest Urban influence Forest.
Introduction: Globally, atmospheric concentrations of CO 2 are rising, and are expected to increase forest productivity and carbon storage. However, forest.
Effect of retained trees on growth and structure of young Scots pine stands Juha Ruuska, Sauli Valkonen and Jouni Siipilehto Finnish Forest Research Institute,
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.
Predicting climate change impacts on southern pines productivity in SE United States using physiological process based model 3-PG Carlos A. Gonzalez-Benecke.
Lecture 12 FORE 3218 Forest Mensuration II Lecture 12 Tree-Growth and Stand-Table Projection Avery and Burkhart, Chapter 16.
Do stem form differences mask responses to silvicultural treatment? Doug Maguire Department of Forest Science Oregon State University.
Silvics Analytic Timing of Site Preparation and Post-Plant Weed Control to Optimize Pine Growth Integration of research results from three region-wide.
Development of a Forest Carbon Sequestration Protocol for the State of Georgia J. Siry, P. Bettinger, B. Borders, C. Cieszewski, M. Clutter, B. Izlar,
Metadata – Date (at beginning and end of data collection) (year, month, date) – Growing season? (yes or no) – GPS location (in decimal degrees) – In situ.
Growth and Yield Lecture 6 (04/17/2015). Overview   Review of stand characteristics that affect growth   Basic Stand Growth Terminology Yield curve;
Interspecific differences in rates of base cation immobilization in the stem of some hardwoods of eastern Canada Patricia Boucher and Benoît Côté Macdonald.
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.
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.
FOR 274: Forest Measurements and Inventory Tree Age and Site Indices Age Site Indices.
CAPPS – May 2001 Welcome!!. Progress!! Project 1 – The effects of fertilization and competition control on carbon and nutrient allocation, leaf area efficiency,
Much of the best quantitative data measuring effects of competition comes from studies of plants. A paper by Palmbald (1968), for example, expressly deals.
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.
SILVICULTURAL PRACTICES. SILVICULTURE The application of various treatments such as; tree planting, pruning, intermediate cuttings and harvest cuts.
Bruce E. Borders Yujia Zhang OVERVIEW Consortium for Accelerated Pine Production Studies (CAPPS) makes use of existing field sites and data from Acid.
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.
Where do Enhanced Efficiency Nitrogen Fertilizers and Split N Applications Fit? Cynthia Grant and Alan Moulin AAFC - Brandon Research Centre Nicolas Tremblay.
Center for Advanced Forestry Systems 2014 Meeting Do Below Ground Processes Explain Differences in Growth, Productivity and Carrying Capacity of Loblolly.
Genotype by silviculture interactions on growth, stand uniformity and leaf-level gas exchange of loblolly pine varieties Marco Yanez, Thomas Fox, John.
Leah Rathbun PhD Candidate, University of British Columbia
and Other Related Measurements
F. Munalula; T. Seifert; C.B. Wessels
Approaches to regulation in the selection method and maintaining a balanced stand with sustainable yield Area regulation Volume regulation Structural regulation.
Developing Edition 3.0 of CIPSANON
E.V. Lukina, K.W. Freeman,K.J. Wynn, W.E. Thomason, G.V. Johnson,
Stand and Tree Characteristics at Age 30
Then… ….and Now.
W 3rd Biennial Shortleaf Pine Conference The Return of An American Forest Legacy “Shortleaf Seedling Production and Quality Seedlings”
Shortleaf Pine Opportunities for Assistance
Presentation transcript:

CAPPS - UGA Consortium for Accelerated Pine Production Studies (CAPPS) Long-Term Trends in Loblolly Pine Stand Productivity and Characteristics in Georgia

CAPPS - UGA Consortium for Accelerated Pine Production Studies (CAPPS) B.E. Borders, R.L. Hendrick, R. Will, D. Markewitz, A. Clarke, T.B. Harrington, R.O. Teskey

CAPPS - UGA CAPPS Program Five year program – started in July 1998 Members – International Paper, Champion International, Temple-Inland, Boise Cascade, The Timber Company, Rayonier, Mead Coated Board, Westvaco, Gilman Paper, Jefferson Smurfit, Weyerhaeuser Co, U.S. Alliance

CAPPS - UGA Objective of CAPPS Improve our understanding of tree responses to intensive cultural treatments Use this improved understanding to develop more efficient management guidelines Develop simulation models that provide realistic yields on a localized level

CAPPS - UGA Objectives (cont.) Provide information for the improvement of process level simulators Evaluate and characterize wood quality of fast grown loblolly pine trees

CAPPS - UGA Funding CAPPS received funding for a 5 year period starting in July 1998 extending through June of 2003 The total extramural funding for this project comes from DOE (approximately $300,000), and forest industry (approximately $500,000)

CAPPS - UGA Funding (cont.) Daniel B. Warnell School of Forest Resources at the University of Georgia is also providing approximately $500,000 of actual and in-kind support for this project

CAPPS - UGA CAPPS Field Plots Four separate installations located at 2 locations in Georgia Two Piedmont installations (near Eatonton, GA in Putnam county) Two Lower Coastal Plain installations (near Waycross, GA in Ware county)

CAPPS - UGA Treatments H - complete vegetation control throughout the life of the stand using herbicides F - annual fertilization treatment HF - both H and F C - check plot (a very intensive mechanical treatment that include bedding in Waycross and a 3-pass operation in Eatonton)

CAPPS - UGA Fertilizer Treatment Fertilizer Treatment 250 lbs/ac DAP plus 100 lbs/ac KCl spring of year 1 and 2 plus 50 lbs/ac ammonium nitrate mid summer of year 1 and 2; In each subsequent growing season 150 lbs/ac ammonium nitrate each spring

CAPPS - UGA Replication Two complete blocks of 3/8 acre treatment plots at each location 3 time replicates at each location Eatonton , 1990, 1995 (one block only) Waycross , 1989, 1993

CAPPS - UGA Plot History All plots established on cutover forestland All plots planted at the equivalent of 680 trees/acre At Waycross half-sib family 7-56 used At Eatonton half-sib family used

CAPPS - UGA Waycross – Dry Site Age 9 - C

CAPPS - UGA Waycross – Dry Site Age 9 - HF

CAPPS - UGA Picture 2 Waycross, Dry site Herbicide and Fertilization Plot at Age 11

CAPPS - UGA Waycross West Site Age 11 - HF

CAPPS - UGA Site Descriptors - Soils WAYCROSS Slopes < 1% Dry site –Bonifay in close associate with Blanton – Greater than 40” sand – MW – WD Wet site – Pelham in association with Rigdon with intermittent spodic – PD to SPD EATONTON Slopes < 15% Cecil is predominant, with Pacolet and Appling and limited areas of Davidson

CAPPS - UGA Site Descriptors - Soils

CAPPS - UGA Site Descriptors - Climate

CAPPS - UGA Site Descriptors - Water Balance

CAPPS - UGA Site Descriptors - Water Balance

CAPPS - UGA Stand Development – Treatment Response Eatonton (piedmont) – HF, H, F, C highest production to least production through age 12, however by age 13 F is starting to overtake H Waycross (LCP) – HF, F, H, C most production to least production through age 14 – note that H had higher production than F through age 4

CAPPS - UGA Dominant Heights - feet LocationAgeCFHHF Eatonton Monitor Eatonton Powerline Waycross Dry Waycross Wet

CAPPS - UGA Stand Development Total Volume

CAPPS - UGA Stand Development Mean Annual Volume Increment

CAPPS - UGA Stand Development Current Annual Increment

CAPPS - UGA Stand Development

CAPPS - UGA Stand Development - Waycross

CAPPS - UGA Stand Development - Eatonton

CAPPS - UGA Stand Structure LAI vs Basal Area Both sites show a positive correlation between projected leaf area index and stand basal area

CAPPS - UGA Stand Structure – LAI vs BA LAI for 1998 needle cohort

CAPPS - UGA Stand Structure – Crown Size Crown length is slightly greater for F treatments Height to live crown is greater on more responsive treatments For a given treatment – crown length vs stand basal area increases and flattens out whereas crown height continues to increase as basal area increases

CAPPS - UGA Stand Structure Eatonton – CL vs BA

CAPPS - UGA Stand Structure Waycross – CL vs BA

CAPPS - UGA Stand Structure Eatonton – Ht to Crown vs BA

CAPPS - UGA Stand Structure Waycross – Ht to Crown vs BA

CAPPS - UGA Stem Characteristics 20 trees from each plot in the oldest time replicate were cored at 4.5 feet from the Waycross sites early summer 1998 and from Eatonton early summer 1999 We currently have wood density information available for the Waycross location

CAPPS - UGA Stem Characteristics - Waycross EW/LW ratios and ring density by growth ring show that: – HF and F treatments have lower density wood than C and H treatments – All treatments have started producing mature wood by age 6

CAPPS - UGA Stem Characteristics Waycross Dry SiteWaycross Wet Site

CAPPS - UGA Stem Characteristics Four trees from each plot were harvested and intensively measured for development of biomass prediction equations as well as for leaf area determination (in total more than 192 trees were taken from the Waycross sites and 160 from the Eatonton sites)

CAPPS - UGA Stem Characteristics – Branches There is not a great deal of difference in the number of branches by height for the different treatments Maximum branch diameter tends to be larger on F and HF treatments Most differences reflect differences in tree height and height to crown

CAPPS - UGA Stem Characteristics Waycross Site – Largest live branch diameter in each 16 foot log

CAPPS - UGA Stem Characteristics Eatonton Site – Largest live branch diameter in each 16 foot log

CAPPS - UGA Stem Characteristics Eatonton Site – Number of branches >1” by log

CAPPS - UGA Stem Characteristics Waycross Site – Number of branches >1” by log

CAPPS - UGA Basic Ecophysiological Relationships

WaycrossB.F. Grant BWPE = Bolewood Production Efficiency (ft 3 ac -1 projected LAI -1 year -1 ) AgeBWPEAgeBWPE

AgeNo FertFertAgeNo FertFert WaycrossB.F. Grant Bolewood Prod. Eff. (ft 3 ac -1 proj. LAI -1 yr -1 ) Bolewood Prod. Eff. (ft 3 ac -1 proj. LAI -1 yr -1 )

AgeNo FertFert Waycross Nitrogen Use Efficiency (ton ac -1 stem growth / ton ac -1 nitrogen

CAPPS - UGA Extremely rapid growth in coastal plain sites and clearly greater than in piedmont. Contrasting response to H and F treatments – F greatly out performing H in sandy coastal plain soils – H out performing F in clay rich piedmont soils but F catching up by age 13 – Accelerated growth apparently decreasing wood density at Waycross but all treatments are producing mature wood by age 7Conclusions

CAPPS - UGA Conclusions con’t Growth efficiency and nitrogen use efficiency decrease with tree size. At Waycross, fertilization increased efficiency when trees of equal size were compared.

CAPPS - UGA QUESTIONS? Comments?