Progress report: FREP routine and intensive protocols for the FRPA timber value in partial cuts Patrick Martin February 26, 2007.

Slides:



Advertisements
Similar presentations
Framework for the Ecological Assessment of Impacted Sediments at Mining Sites in Region 7 By Jason Gunter (R7 Life Scientist) and.
Advertisements

Are Free-Growing Stands Meeting Expectations? Alex Woods, Regional Pathologist, NIFR, MOFR Wendy Bergerud, Senior Biometrician, Research Branch, MOFR Funded.
S tand D evelopment M onitoring FREP Timber Production Protocol SDM.
LONG-TERM PROGNOSIS OF ESTONIAN WOOD FUEL SUPPLY Rauno Reinberg Vilnius, Lithuania.
Evaluating Approaches to “Ecosystem Management” Using FVS Steve McConnell NWIFC August 29, 2002.
Sustainable Landowner Options for Aspen Forests Charly Ray, Northern Ecosystem Services Jason Fischbach, UW-Extension June 8, 2013.
1 Yield Implications of Variable Retention Harvesting VR Team: Mario Di Lucca, Ken Polsson, Jim Goudie, and Tim Bogle Research & Timber Supply Branches.
Lecture 7 Forestry 3218 Forest Mensuration II Lecture 7 Forest Inventories Avery and Burkhart Chapter 9.
Stand Level Biodiversity Extensive Evaluation Checklist January 27 th presentation Field observations By Bryce Bancroft RPBio.
Timber Supply Review and Species Management By: Paul Barolet, R.P.F., Stewardship Officer Stewardship Officer.
Gggg. iiiiiiiii.
Small Scale Salvage Program Application Process. Purpose To establish an application and approval process for small scale timber salvage that is efficient,
Growth and yield Harvesting Regeneration Thinning Fire and fuels.
Impact of adjacency and green-up constraints on wood supply in Georgia, USA Michal Zasada, Chris J. Cieszewski, Roger C. Lowe, Don Reimer 2 nd International.
1 Merritt TSA Type II Silviculture Analysis Merritt, B.C. April 5th, 2007.
1 Principles and Practices of Sugar Bush Management.
Portfolio Selection of IT Service Products – Case Study Antti Vikman
 Discuss silvicultural principles related to restoration/fuels treatments  Compare conditions from the 1900 Cheesman Lake reconstruction to current.
Provisions of the Spotted Owl CHU Rule: How Are We Interpreting What It Says? And How Does it Integrate with the NWFP? Bruce Hollen (BLM) and Brendan White.
Vienna, 23 April 2008 UNECE Work Session on SDE Topic (v) Editing on results (post-editing) 1 Topic (v): Editing based on results Discussants: Maria M.
Federal Department of the Environment, Transport, Energy and Communications DETEC Federal Office for the Environment FOEN Potential Wood Supply in Swiss.
Wisconsin’s Continuous Forest Inventory State Forest Working Group Meeting Plymouth, WI May 10, 2006 Teague PrichardChip Scott WDNR State Lands SpecialistUSDA.
Timber Supply Review and Species Management By: Paul Barolet, R.P.F., Stewardship Officer Stewardship Officer.
The aim / learning outcome of this module is to understand how to gather and use data effectively to plan the development of recycling and composting.
Lower Middle Regeneration Experiment - Climate & Regeneration INGY 2014 Fred C. Martin WA Dept. Natural Resources Olympia, WA.
A Statistical Analysis of Seedlings Planted in the Encampment Forest Association By: Tony Nixon.
Forest Planning and Practices Regulation Amendments to Protect Secondary Structure Joint Presentation of: Joint Presentation of: Federation of BC WoodlotAssociationsFederation.
Forest ManagementOld Growth Tree Plantations. Tree Plantations are artificial forests created by humans Also known as tree farms. Usually only one tree.
Cruising Manual Highlights Ministry of Forests & Range 2009.
Effect of retained trees on growth and structure of young Scots pine stands Juha Ruuska, Sauli Valkonen and Jouni Siipilehto Finnish Forest Research Institute,
Coarse Woody Debris Missouri Ozark Forest Ecosystem Project Missouri Ozark Forest Ecosystem Project Randy G. Jensen Stephen R. Shifley Brian L. Brookshire.
THE THIRD INTERNATIONAL SCIENTIFIC CONFERENCE RURAL DEVELOPMENT 2007 BALTIC BIOMASS NETWORK SECTION “BIOENERGY IN THE BALTIC SEA REGION: ECONOMIC FEASIBILITY,
Sharon Stanton & FIA National Indicator Leads RECOMMENDATIONS FOR ENHANCED FOREST INDICATORS.
Powered By Powered by: Simulating Regeneration Dynamics in Upland Oak Stands USDA Forest Service Southern Research Station Dr. David Loftis.
Why Does NOAA Need a Climate & Ecosystem Demonstration Project in the California Current System? Capabilities and Drivers La Jolla, CA 6 June, 2005.
Key BC Silviculture Statistics ä Forest Practices Branch BC Forest Service September 8, 2009.
FRPA Resource Evaluation Program FREP Purpose and Objectives Highlights of 2003 Plans for 2004 Development of indicators Use of indicators Indicator review.
Natural Resource Economics Academic year: Prof. Luca Salvatici Lesson 8: Forestry.
Performance Improvement Project Validation Process Outcome Focused Scoring Methodology and Critical Analysis Presenter: Christi Melendez, RN, CPHQ Associate.
Management Strategy Evaluation (MSE) Bob O’Boyle & Tana Worcester Bedford Institute of Oceanography Dartmouth, Nova Scotia, Canada.
Shelterwood. Regeneration cut Modify environment of regen Provide seed source.
CHAPTER 11 Planning and Budgeting the Marketing Mix Part 1: Pages
Wood Harvesting Techniques Mr. Distasio. Leave nothing but limbs & branches behind. Works best for large stands with few species of similar ages whose.
Outside Large Blocks, Inside & Outside Critical Habitat Management Hypothesis Highest timber production yields. Produces uniform stand conditions. Shorter.
So to review, for a disease to have an impact on a forest three elements must be present. These are …
U.S Department of the Interior U.S. Geological Survey Designing an Integrated Monitoring Program for Coniferous Forests: beyond the forest and the trees.
Cumulative Hydrologic Impact Assessment. Quality Assurance \ Quality Control Panel.
Silvicultural Systems for Mixedwood Management Phil Comeau Dept. of Renewable Resources University of Alberta.
Mountain Pine Beetle Salvage Harvesting and Reforestation in British Columbia Brian Peter and Bryan Bogdanski Industry, Trade & Economics Program Pacific.
2 NURS/HSCI 597 NURSING RESEARCH & DATA ANALYSIS GEORGE MASON UNIVERSITY.
PRINCIPLES OF STOCK ASSESSMENT. Aims of stock assessment The overall aim of fisheries science is to provide information to managers on the state and life.
June 2016What problems/opportunities/needs are there with forest management? Development of the purpose of and need for action. July 2016What tools are.
FORESTRY LAND USE Overview and Update Buckingham County Land Use Work Session September 18, 2017 Dean Cumbia Forest Resource Management Branch.
Principles of Management Learning Session # 20 Dr. A. Rashid Kausar.
Stocking Standard Content and Why it Matters
Mixedwood Management: Considerations
René Alfaro, Jodi Axelson, Brad Hawkes, Lara vanAkker and Bill Riel
CIFOR Guidelines for Foodborne Disease Outbreak Response and the CIFOR Toolkit: Focus Area 7: Epidemiology Investigation New York Integrated Center of.
Coast Region FRPA Implementation Team
Forestry.
Natural Resource District
Will present results from a combination of market related studies, trials and demonstration sites, grower adoption surveys Example of tea! EXPERIENCES.
Shelterwood and clearcut
Neighborhood Effects, Disturbance Severity, and Succession
Jing Hu University of Queensland
Management Of Dry-belt Douglas-fir
A Snapshot in Time Prepared for: Prince George FREP Overview
Young Stand Monitoring
The System of National Accounts and Policy Development
Kirk Hanson (360)
Presentation transcript:

Progress report: FREP routine and intensive protocols for the FRPA timber value in partial cuts Patrick Martin February 26, 2007

2 Outline Background Protocols –Intensive –Routine Paths not taken Next steps Sample 5

3 Background Are the objectives for FRPA values being achieved? FRPA timber value in partially harvested areas Evaluation question: To what degree are stand conditions in partially harvested areas consistent with the FRPA timber objective to “maintain or enhance an economically valuable supply of commercial timber”?

4 Background Classic approach Goal/objective Critical factors Indicators Benchmarks Judgements Health Report Card IndicatorObserved level BenchmarkJudgement Blood pressure 110/75 mmHg 120/80 mmHg Good Cholesterol (LDL) 100 mg/dL Fair Heart rate (resting) 100 bpm80 bpmPoor OverallFair “to maintain or enhance an economically valuable supply of commercial timber” Timber volume (m3/ha) Timber value ($/ha)

5 Intensive - method Statistical sample Population: areas part-cut sample points Measure stumps and trees Compile variables that indicate status of timber objective Judge how consistent with FRPA timber objective Sample 21

6

7 Indicator #1: Stocking level Well-spaced trees per hectare Rationale: Must be fully stocked to capture site’s growth potential Observed level: Mean of 1055 ws/ha Benchmark: 700 ws/ha Judgement: Consistent with government’s objectives for timber Intensive results: Stocking

8 Indicator #2: m3/ha merch dead or down Rationale: Volume and value reduced by unsalvaged- unrecovered timber Intensive results: Dead or down timber

9 Observed level: Mean of 12 m3/ha merch dead or down timber Benchmark: m3/ha Judgement: Consistent with government’s objectives for timber Intensive results: Dead or down timber

10 Indicator #4: m3/ha non-pine cut Rationale: With MPB outbreak, during part-cut, objective maximized by logging all the pine and saving all the non-pine Intensive results: Non-Pl harvested

11 Observed level: Mean of 125 m3/ha non-pine cut Benchmark: 80 m3/ha Judgement: Not consistent with government’s objectives for timber Intensive results: Non-pine harvested

12 Results: All indicators Judged degree of consistency with FRPA objectives for timber IndicatorLowMediumHigh Level of stocking Volume of merchantable dead or down wood Pine volume remaining Non-pine volume extracted Site occupancy by poor quality trees Value removal relative to volume removal Forecast future volume trends Qualitative assessment of 17 other factors

13 Routine evaluation protocol Tried this: –Assess at sample point –Classify into 1 of 7 condition classes –Cross-reference for each class that interprets the degree of consistency: High, Medium, or Low Result: –22 sample points High; 3 sample points Medium Routine protocol: –Needs much more work –Whole block (or SU), not one point –Use the concepts from the intensive

14 Paths not taken Forest-level perspective Conflicts among indicators Composite score Explanatory data Trade-offs during the evaluation Formal team Conclusion for a block

15 Next steps Report 19 recommendations Comments, finalize, post Presentations Series of presentations and review sessions Procedures FREP will refine and test procedures next year

16 END Sample 9

17

18 Indicator: Stocking level DFP Rationale: Must be fully stocked to capture site’s growth potential Observed level: Mean of 0.08 Benchmark: 0.2 Judgement: Consistent with government’s objectives for timber Intensive results: Stocking

19 Indicator: m2/ha overstory trees classed as poor timber quality ?? metric for understory Rationale: Growing space occupied by poor trees reduces volume and value production by good trees Intensive results: Poor quality trees

20 Observed level: 1 m2/ha poor Benchmark: 5-10 m2/ha? Judgement: Consistent with government’s objectives for timber Intensive results: poor quality trees

21 Indicator: Abundant, taller poor trees Rationale: In the US, abundant taller poor trees out-compete good trees and capture growth potential Observed level Benchmark: ??? Judgement: Consistent with government’s objectives for timber Intensive results: poor quality trees

22 Intensive results: Value-volume removal Indicator: % Value-volume % removal Rationale: Reduced value growth if high value component removed and low value component retained Observed level Benchmark Judgement Consistent with government’s objectives for timber Coastal, Cw50Hw50, Extract all Cw, Cw twice value of Hw

23 PrognosisBC volume predictions Scenarios: –Current –Clear-cut –No harvest Beetle kill With, and without, harvested volume added on Results: Forecasts

24 Compare current state to: –Clearcut –No harvest Differences in volume over time Results: Forecasts

25 Results: Forecasts Scenario YearVolumeCurrentNo harvestClear-cut 2036Standing146 (15)376 (31)0 (0) Cumulative437 (34)376 (31)400 (34) For next 50 years, the observed partial-cut will provide: –Less standing volume than the no harvest but more than the clearcut –Slightly more cumulative volume than the no harvest and the clearcut Over the long-term, most stands will grow less than they would as clear-cuts Judged consistent with government’s objectives for timber

26 Rapid, qualitative assessment of 8 factors that could impact achievement of the FRPA timber-goal Notable concerns: –#4: Growth potential of retained trees –#5: Species diversity –#1: Windthrow risk –#7: Cutting trees not threatened Results: Overstory factors

27 Rapid, qualitative assessment of 9 factors that could impact achievement of the FRPA timber-goal Notable concerns: –#11: Probability of add’l regen –#12: Species diversity –#18: Poor interfering with good trees Results: Understory factors

28 Degree to which observed condition meets FRPA objectives for timber Condition classLowMediumHigh 1: Stocked by residual overstory, value removal did not greatly exceed volume removal3 2: Stocked by residual overstory, value removal greatly exceeded volume removal 3: Stocked by residual overstory, value removal moderately exceeded volume removal 4: Not fully stocked by residual overstory, high level of poor quality timber retained 5: Not fully stocked by residual overstory, low level of poor quality timber retained, high level of seedling and sapling stocking 19 6: Not fully stocked by residual overstory, low level of poor quality timber retained, low level of seedling and sapling stocking 7: Not fully stocked by residual overstory, low level of poor quality timber retained, medium level of seedling and sapling stocking 3 Results: Routine – condition classes Routine evaluation procedure Classifies sample point into 1 of 7 condition classes Cross-reference for each class that interprets the degree of consistency: High, Medium, or Low Result: –22 sample points High –3 sample points Medium