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Effectiveness Monitoring of
Fuel Treatments in SW Yukon

Brad C. Hawkes
Canadian Forest Service
Pacific Forestry Centre
Victoria, BC
What is an Effective Fuel Treatment
(Break)?
Significantly alters fire behaviour such that fire
suppression efforts can safely mitigate fire
spread to values (Mooney 2010)

Photo Credit: FERIC

Photo Credit: FERIC
Review of Fuelbreak Effectiveness (Mooney 2010)
http://fire.feric.ca/36532008/FuelbreakEffectivenessFinalReport.pdf

• collection of fuel treatment information is
usually limited to information needed for
financial due diligence and accounting
purposes
• important factors to consider when designing a
fuelbreak for community protection from
wildfire: Fuel Type; Adjacent Fuels; Crown Fire
Potential; Suppression Capabilities; Width;
Distance from Community; Surface Fuel
Management; Maintenance
• fuelbreak failures and successes were due to
wind, fuel type and lack of timely suppression
action
Southwest Yukon
Co-Management by Champagne and Aishihik First Nations
and Yukon Territorial Government
Yukon Energy, Mines and Resources: Forest Management – protocol and
measurements
Yukon Community Services: Wildland Fire Management – Fuel
Treatments to Sample
Total Area - approx 350,000 ha
Stand and Fuel Re-Measurement 2010
Yukon Forestry Monitoring Program
Field Manual and Monitoring Protocols
Examples of projects using
monitoring protocols
Fuel Treatment Objectives: Attributes to
Monitor
• significant reduction of surface fuel load (surface
fine and coarse woody fuel load)
• increase the height to live crown (crown base
height)
• decrease canopy bulk densities by increasing
overstory inter-crown spacing and reducing
understory trees – ladder fuels (CBD by height)
• retain trees with lower crown fire susceptibility
(e.g. aspen) if available (species composition)
YUKON APPROVED!

Fuel Treatment Monitoring “Lite”
Protocol for White Spruce forests in
SW Yukon
“COUNTING STICKS’
MADE FUN & EASY!
EXCEL SPREADSHEET
CALCULATOR FOR
CANOPY BULK
DENSITY!

FREE GO-NO-GO GAUGE
FRIDGE MAGNET INSIDE!
Fuel Treatment Monitoring Protocol: sections
used in Yukon Forestry Monitoring Program
Field Manual
1) Monitoring site establishment
2) Site description
3) Forest mensuration
4) Understory vegetation
5) Coarse woody debris
6) Fine woody debris
7) Tree fuels assessment (fire hazard rating
and spot fire potential)
8) Fuel treatment prescription compliance
and effectiveness monitoring
9) Soil description
Pilot Project - Description
• Monitoring protocols were
developed with assistance
from the Canadian Forest
Service including data
analysis methods for stand
reconstruction and canopy
bulk density
• 13 monitoring sites
installed in 8 treatments in
Haines Junction, Canyon,
Mendenhall, and
MacIntosh
Monitoring Sites

HJ

ME

CA
Monitoring Protocol: Monitoring Site
Establishment
Treated

Paired Plot Study Design

Transects
Understory plants
Fine fuels
Coarse fuels
Rectangular subplots
Tree fuels assessments

Circular subplots
Forest mensuration
Prescription compliance

Untreated
Stand Reconstruction
• Generate DBH and height of a tree from cut stumps
• Stump data sorted into size class, species, and live/dead
(when cut)
• DBH calculated from stump diameter (DS) and stump
height (SH)
• DBH = DS + b*DS*Log(10)*[(SH+1)/2.3]
• Tree height calculated using regression analysis of tree
mensuration data from stand
Canopy Bulk Density (CBD)
• CBD = Crown Mass / Plot Volume (kg/m3)
• Crown Mass (needles + <0.5cm branches +
dead branches) = a + bD2H
• D = DBH; H = Height
• a b = constants obtained from Manning et. al. 1984

• Plot Volume = Plot Area * Canopy Length
Pre CBD Post CBD for Selected per Treatment Areas
Pre Treatment CBD Values per
Pre and Post and per Treatment CBD Treatment Area
reatment andValuesPost Treatment Area ValuesTreatment Area
0.25

Pre-Treatment (Total)
Post-Treatment (Total)

Thinning from below

0.2

CBD (kg/m^3)

CA 1-3

Pre-Treatment (Total)
Pre-Treatment (Total)Pre-Treatment (Total)
Post-Treatment (Total)
Post-Treatment (Total)
Post-Treatment (Total)
0.15

CA 4

0.1

HJ 2

CA-1-3 0.05CA-4

Aspen and
Pruning
HJ-2
HJ-3

HJ-1

HJ-4

ME

Treatment

ME
0
CA-1-3
HJ-1

CA 1-3
CA-1-3
CA-4
HJ-2

CA 4
CA-4
HJ-1
HJ-3

HJ 2
HJ-1
HJ-2
HJ-4

ME
HJ-2
HJ-3
ME

HJ-3
HJ-4

HJ-4
ME

ME
Variability in Pre and Post Canopy
Bulk Density for Canyon 1-3 and 4

Pre

Pre

Post

Post
Crown Fuel Ignition Model - CFIM (Cruz et al 2006 IJWF)
Crown Fire Initiation and Spread CFIS software
(Alexander et al 2006, 5th International Conf. on Forest Fire Research)

CFIS Main outputs:
• Likelihood of crown fire
initiation and occurrence
• Type of crown fire (active vs.
passive) and its rate-of-spread
• Minimum spotting distance
required to increase a fire’s
overall forward rate-of-spread
Canyon 1-4 using CFIM
FFM - Pre 11.4% Post 10%
Threshold?
Transition
to
Crowning

?
Transition
to
Crowning

CBD that
only passive
crown fire or
surface fire
will be
predicted?

0.05 kg/m3?

Pre-Treatment

Post-Treatment

1291

391

Not Available

3.5

LCBH (m)

0.80

3.0

CBD (kg/m3)

0.18

0. 07

Density (stems/ha) (Spruce)
Mean crown spacing (m)

Woody (kg/m2) 7 cm

0.60 (post used)

0.60
Ignition Probability
• In SW Yukon, hand piling slash and
burning important to reduce surface fine
fuel loading. Potential for tree fine root
damage.
Fine Woody Debris Fuel Loading per Treatment Area

<7cm fuel load
0.5-4.6 t/ha

12.00

Fuel Loading (tonnes/ha)

10.00

Un-Treated
and
Thinned Slash
Removed

Fine (<7cm) Woody Fuel
Loading

WFORG
MOF
CFS

Ignitions 8-15%

8.00

Lodgepole Pine

6.00

4.00

2.00

0.00
CA 1-3

CA 4

HJ 1

HJ 2

HJ 3
Treatment

HJ 4

HJ 7-10

ME 1,2

Average

Thinned - Slash Left
Ignitions 49-61%
<7cm fuel load 10-17 t/ha
Spotting and Fuel Treatments
Fuelbreak width in Canada 150-200m (Mooney
2010)

800 metre spotting on 1997 wildfire near
Haines Junction – beetle killed trees and
moderate fire danger
Maintenance and Monitoring

• Frequency of re-assessment versus remeasurement? Depends on ground disturbance,
moisture regime and crown closure (shaded fuel breaks).
Experience in SW Yukon is changes are relatively slow
so 5 yr mark a good place to start.
• What to measure? Priorities First: surface flammable
vegetation response (grass) and cured states. Second:
windthrow, insect, and pile burning induced mortality.
Third: potential disease problems from tree bole
damage during pruning and harvesting operations.
Fourth: Tree regeneration – ladder fuels
Two Case Studies of Jack Pine FireSmart Treatments
in Canada’s Northwest Territories
http://fire.feric.ca/36162002/FireBehaviourInThinnedJackPine.pdf

WFORG
Case Studies using CFIS software

Thinned NWT

FFM – Natural and Thinned 8%

Natural

Thinned

Density (stems/ha) (Jack Pine)

2340 to 5000

500

Mean crown spacing (m)

Not Available

3.6

LCBH (m)

0.80

9.8

CBD (kg/m3)

0.16

0.07

Woody (kg/m2) 7 cm

0.76

1.52
Other Models? Kerry Anderson CFS Edmonton AB
Wildland Fire Dynamics
Simulator (NIST)

FIRETEC (LANL)
Questions?

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Effectiveness Monitoring of Fuel Treatments in Southwest Yukon

  • 1. Effectiveness Monitoring of Fuel Treatments in SW Yukon Brad C. Hawkes Canadian Forest Service Pacific Forestry Centre Victoria, BC
  • 2. What is an Effective Fuel Treatment (Break)? Significantly alters fire behaviour such that fire suppression efforts can safely mitigate fire spread to values (Mooney 2010) Photo Credit: FERIC Photo Credit: FERIC
  • 3. Review of Fuelbreak Effectiveness (Mooney 2010) http://fire.feric.ca/36532008/FuelbreakEffectivenessFinalReport.pdf • collection of fuel treatment information is usually limited to information needed for financial due diligence and accounting purposes • important factors to consider when designing a fuelbreak for community protection from wildfire: Fuel Type; Adjacent Fuels; Crown Fire Potential; Suppression Capabilities; Width; Distance from Community; Surface Fuel Management; Maintenance • fuelbreak failures and successes were due to wind, fuel type and lack of timely suppression action
  • 4. Southwest Yukon Co-Management by Champagne and Aishihik First Nations and Yukon Territorial Government Yukon Energy, Mines and Resources: Forest Management – protocol and measurements Yukon Community Services: Wildland Fire Management – Fuel Treatments to Sample
  • 5. Total Area - approx 350,000 ha
  • 6. Stand and Fuel Re-Measurement 2010
  • 7. Yukon Forestry Monitoring Program Field Manual and Monitoring Protocols Examples of projects using monitoring protocols
  • 8. Fuel Treatment Objectives: Attributes to Monitor • significant reduction of surface fuel load (surface fine and coarse woody fuel load) • increase the height to live crown (crown base height) • decrease canopy bulk densities by increasing overstory inter-crown spacing and reducing understory trees – ladder fuels (CBD by height) • retain trees with lower crown fire susceptibility (e.g. aspen) if available (species composition)
  • 9. YUKON APPROVED! Fuel Treatment Monitoring “Lite” Protocol for White Spruce forests in SW Yukon “COUNTING STICKS’ MADE FUN & EASY! EXCEL SPREADSHEET CALCULATOR FOR CANOPY BULK DENSITY! FREE GO-NO-GO GAUGE FRIDGE MAGNET INSIDE!
  • 10. Fuel Treatment Monitoring Protocol: sections used in Yukon Forestry Monitoring Program Field Manual 1) Monitoring site establishment 2) Site description 3) Forest mensuration 4) Understory vegetation 5) Coarse woody debris 6) Fine woody debris 7) Tree fuels assessment (fire hazard rating and spot fire potential) 8) Fuel treatment prescription compliance and effectiveness monitoring 9) Soil description
  • 11. Pilot Project - Description • Monitoring protocols were developed with assistance from the Canadian Forest Service including data analysis methods for stand reconstruction and canopy bulk density • 13 monitoring sites installed in 8 treatments in Haines Junction, Canyon, Mendenhall, and MacIntosh
  • 13. Monitoring Protocol: Monitoring Site Establishment Treated Paired Plot Study Design Transects Understory plants Fine fuels Coarse fuels Rectangular subplots Tree fuels assessments Circular subplots Forest mensuration Prescription compliance Untreated
  • 14. Stand Reconstruction • Generate DBH and height of a tree from cut stumps • Stump data sorted into size class, species, and live/dead (when cut) • DBH calculated from stump diameter (DS) and stump height (SH) • DBH = DS + b*DS*Log(10)*[(SH+1)/2.3] • Tree height calculated using regression analysis of tree mensuration data from stand
  • 15. Canopy Bulk Density (CBD) • CBD = Crown Mass / Plot Volume (kg/m3) • Crown Mass (needles + <0.5cm branches + dead branches) = a + bD2H • D = DBH; H = Height • a b = constants obtained from Manning et. al. 1984 • Plot Volume = Plot Area * Canopy Length
  • 16. Pre CBD Post CBD for Selected per Treatment Areas Pre Treatment CBD Values per Pre and Post and per Treatment CBD Treatment Area reatment andValuesPost Treatment Area ValuesTreatment Area 0.25 Pre-Treatment (Total) Post-Treatment (Total) Thinning from below 0.2 CBD (kg/m^3) CA 1-3 Pre-Treatment (Total) Pre-Treatment (Total)Pre-Treatment (Total) Post-Treatment (Total) Post-Treatment (Total) Post-Treatment (Total) 0.15 CA 4 0.1 HJ 2 CA-1-3 0.05CA-4 Aspen and Pruning HJ-2 HJ-3 HJ-1 HJ-4 ME Treatment ME 0 CA-1-3 HJ-1 CA 1-3 CA-1-3 CA-4 HJ-2 CA 4 CA-4 HJ-1 HJ-3 HJ 2 HJ-1 HJ-2 HJ-4 ME HJ-2 HJ-3 ME HJ-3 HJ-4 HJ-4 ME ME
  • 17. Variability in Pre and Post Canopy Bulk Density for Canyon 1-3 and 4 Pre Pre Post Post
  • 18. Crown Fuel Ignition Model - CFIM (Cruz et al 2006 IJWF) Crown Fire Initiation and Spread CFIS software (Alexander et al 2006, 5th International Conf. on Forest Fire Research) CFIS Main outputs: • Likelihood of crown fire initiation and occurrence • Type of crown fire (active vs. passive) and its rate-of-spread • Minimum spotting distance required to increase a fire’s overall forward rate-of-spread
  • 19. Canyon 1-4 using CFIM FFM - Pre 11.4% Post 10% Threshold? Transition to Crowning ? Transition to Crowning CBD that only passive crown fire or surface fire will be predicted? 0.05 kg/m3? Pre-Treatment Post-Treatment 1291 391 Not Available 3.5 LCBH (m) 0.80 3.0 CBD (kg/m3) 0.18 0. 07 Density (stems/ha) (Spruce) Mean crown spacing (m) Woody (kg/m2) 7 cm 0.60 (post used) 0.60
  • 20. Ignition Probability • In SW Yukon, hand piling slash and burning important to reduce surface fine fuel loading. Potential for tree fine root damage. Fine Woody Debris Fuel Loading per Treatment Area <7cm fuel load 0.5-4.6 t/ha 12.00 Fuel Loading (tonnes/ha) 10.00 Un-Treated and Thinned Slash Removed Fine (<7cm) Woody Fuel Loading WFORG MOF CFS Ignitions 8-15% 8.00 Lodgepole Pine 6.00 4.00 2.00 0.00 CA 1-3 CA 4 HJ 1 HJ 2 HJ 3 Treatment HJ 4 HJ 7-10 ME 1,2 Average Thinned - Slash Left Ignitions 49-61% <7cm fuel load 10-17 t/ha
  • 21. Spotting and Fuel Treatments Fuelbreak width in Canada 150-200m (Mooney 2010) 800 metre spotting on 1997 wildfire near Haines Junction – beetle killed trees and moderate fire danger
  • 22. Maintenance and Monitoring • Frequency of re-assessment versus remeasurement? Depends on ground disturbance, moisture regime and crown closure (shaded fuel breaks). Experience in SW Yukon is changes are relatively slow so 5 yr mark a good place to start. • What to measure? Priorities First: surface flammable vegetation response (grass) and cured states. Second: windthrow, insect, and pile burning induced mortality. Third: potential disease problems from tree bole damage during pruning and harvesting operations. Fourth: Tree regeneration – ladder fuels
  • 23. Two Case Studies of Jack Pine FireSmart Treatments in Canada’s Northwest Territories http://fire.feric.ca/36162002/FireBehaviourInThinnedJackPine.pdf WFORG
  • 24. Case Studies using CFIS software Thinned NWT FFM – Natural and Thinned 8% Natural Thinned Density (stems/ha) (Jack Pine) 2340 to 5000 500 Mean crown spacing (m) Not Available 3.6 LCBH (m) 0.80 9.8 CBD (kg/m3) 0.16 0.07 Woody (kg/m2) 7 cm 0.76 1.52
  • 25. Other Models? Kerry Anderson CFS Edmonton AB Wildland Fire Dynamics Simulator (NIST) FIRETEC (LANL)