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2012 Fuel Moisture Monitoring and Fire Danger Indices Eric Miller Contributors: Jennifer Barnes, Lisa Saperstein, Peter Butteri, Jon Grafft, Michael Goyette, Jennifer Northway, and others
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Fuel Moisture Monitoring and Fire Danger Indices

Mar 26, 2022

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Page 1: Fuel Moisture Monitoring and Fire Danger Indices

2012 Fuel Moisture Monitoring and Fire Danger Indices

Eric Miller Contributors: Jennifer Barnes, Lisa Saperstein, Peter

Butteri, Jon Grafft, Michael Goyette, Jennifer Northway, and others

Page 2: Fuel Moisture Monitoring and Fire Danger Indices

The Problem • Fire management community in Alaska has used

the CFFDRS since 1992. • The AWFCG has recognized the need for

evaluation and has continued to rate it high on the list of fire research needs.

• Weak basis for calibrating DMC or DC value. • Related knowledge gaps.

– Default or over-winter the start-up DC value? – Given that Alaska’s fire season begins shortly after

snow-melt, poorly started indices may not reflect actual moisture conditions until the season is well underway or over.

Page 3: Fuel Moisture Monitoring and Fire Danger Indices

The Problem • Fire Danger Rating = f(Weather)

– Indices build daily-- Equilibration requires 12 (DMC) or 53 (DC) days

– Fire season shortly follows snow-melt shortly follows station start-up

– Default or over-winter? – Mid-season interruptions to weather stream – Mid-season deployment of portable RAWS

• Fire Danger Rating = f(Fuel Moisture) – Best set indices to accurately represent conditions

on the landscape

Page 4: Fuel Moisture Monitoring and Fire Danger Indices

Live Moss = FFMC

Dead Moss = DMC*

Upper Duff = DC*

(Lower Duff)

Soil Layers and Indices

Page 5: Fuel Moisture Monitoring and Fire Danger Indices

CFFDRS seems to work fairly well

Page 6: Fuel Moisture Monitoring and Fire Danger Indices

Calibrate RAWS stations with field measurements

Campbell Tract 2004

DC started at default 15 DC “accelerated” to 200

Page 7: Fuel Moisture Monitoring and Fire Danger Indices

Calibrate RAWS stations with field measurements

2012 FBK RAWS DMC adjusted from 6 to 20 DC adjusted from 15 to 100

28 April 2012 9 October 2012

Page 8: Fuel Moisture Monitoring and Fire Danger Indices

Goal • Model

relationship between moisture content and DMC/DC using 2012 data – DMC ~ Dead Moss % – DC ~ Upper Duff %

Page 9: Fuel Moisture Monitoring and Fire Danger Indices

Tok Duff Plug

Page 10: Fuel Moisture Monitoring and Fire Danger Indices

Kenai Duff Plug

Page 11: Fuel Moisture Monitoring and Fire Danger Indices

DMC DC

Dead Moss

-0.66* -0.06

Upper Duff

-0.44 -0.70*

Correlation Coefficients

Page 12: Fuel Moisture Monitoring and Fire Danger Indices
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Page 14: Fuel Moisture Monitoring and Fire Danger Indices

Equation Fit

Page 15: Fuel Moisture Monitoring and Fire Danger Indices

Equation Fit

Page 16: Fuel Moisture Monitoring and Fire Danger Indices
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2012 Regression Equations

• Caution! Modelling with regression analysis: – Reverse the analysis, not the coefficients – Y= f(X) will have different coefficients from X=f(Y)

a b 493.2 57.51 DM=a/exp(DMC/b) 383.6 467.4 UD=a/exp(DC/b) 80.85 301.1 DMC=a/exp(DM/b) 755.4 205.8 DC=a/exp(UD/b)

DM= Dead Moss, UD= Upper Duff, DMC=Duff Moisture Code, DC=Drought Code

Page 19: Fuel Moisture Monitoring and Fire Danger Indices

Next

• Continue sampling in 2013 – Capture a (possibly) drier year – Tease out regional differences

• Data loggers – Far more efficient and better data – $20k

Page 20: Fuel Moisture Monitoring and Fire Danger Indices

References • Allen, J. and R. Jandt. 2001. Fuel and duff moisture monitoring in 2001. Unpublished report to the BLM Alaska Fire Service. 19 pp. • Jandt, R., J. Allen, and E. Horschel. 2005. Forest floor moisture content and fire danger indices in Alaska. Bureau of Land Management Alaska Technical Report 54. 30 pp. • Lawson, B.D. and G.N. Dalrymple. 1996. Ground-truthing the Drought Code: Field verification of overwinter recharge of forest floor moisture. FRDA Report 268. Canada/British Columbia partnership agreement on forest resource development. FRDA II. 21 pp. • Lawson, B.D., Dalrymple, G.N., and Hawkes, B.C. 1997a. Predicting forest floor moisture contents from Duff moisture code values. Can. For. Serv. Pac. For. Cent. Tech. Transfer Note 6. • Wilmore, Brenda. 2001. Duff moisture dynamics in black spruce feather moss stands and their relation to the Canadian Forest Fire Danger Rating System. Master of Science. University of Alaska-Fairbanks. 105 pp.