carbon and fire risksoilcarboncenter.k-state.edu/conference/carbon2/lippke_baltimore_05.pdf ·...

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Carbon and Fire Risk: Alternative Treatments and the Probability of Fire USDA Symposium Greenhouse Gases in Agriculture and Forestry: Refining Knowledge and Building Tools March 23, 2005 Bruce Lippke Director, Rural Technology Initiative College of Forest Resources, University of Washington and President of CORRIM Consortium for Research on Renewable Industrial Materials A non-profit corporation formed by 15 research institutions to conduct cradle to grave environmental studies of wood products Jeffrey Comnick Research Scientist ONRC Olympic Natural Resources Center College of Forest Resources, University of Washington

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Page 1: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

Carbon and Fire Risk:Alternative Treatments and the

Probability of Fire

USDA Symposium Greenhouse Gases in Agriculture and Forestry:

Refining Knowledge and Building ToolsMarch 23, 2005

Bruce LippkeDirector, Rural Technology Initiative

College of Forest Resources, University of Washington

andPresident of CORRIM

Consortium for Research on Renewable Industrial Materials

A non-profit corporation formed by 15 research institutions to conduct cradle to grave

environmental studies of wood products

Jeffrey ComnickResearch Scientist

ONRCOlympic Natural Resources Center

College of Forest Resources, University of Washington

Page 2: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

Background

• The CORRIM report estimated the carbon storage contribution from three pools linked to the forest

1. In the Forest pool

2. In wood products pool (net of energy used and biofuelproduced)

3. Avoided fossil intensive product pool

• A major conclusion was that the highest leverage use of wood is in long lived products that substitute for fossil intensive products

• A second conclusion was the shortest and most intensive rotations that produce long lived products stores the most carbon

Page 3: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

Life Cycle Assessment of Wood Products & Buildings

CO2

SUN

Log

O2 CO2 Air EmissionsSUN

Log

O2

Water & Land Emissions

ConstructionManagement & Harvest Production

Page 4: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

Life Cycle Inventories: measure all inputs & outputs

Forest Resources & HarvestingPNW and SE

Processing of Structural Materials

PNW and SE

• Lumber

• Plywood

• Glulam

• LVL

• I-joists

• OSB (SE only)

Construction of Virtual Residential Buildings to Code

• Minneapolis wood and steel designs

• Atlanta wood and concrete designs Building

Use and Maintenance

Disposal or

Recycle

“Gate-to-Gate”

“Cradle”

“Grave”

Materials

Energy

Water

Emissions

Effluents

Solid Waste

Products

Co-products

Page 5: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

0

50

100

150

200

250

2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100 2110 2120 2130 2140 2150 2160

Year

Met

ric T

ons

Per H

ecta

re

Stem Root Crown Litter Dead

Carbon in PNW Forest Pools80-Year Rotation with Two Thinnings

Page 6: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

-100

-50

0

50

100

150

200

250

2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100 2110 2120 2130 2140 2150 2160Year

Met

ric T

ons

Per H

ecta

re

Chips Lumber HarvEmis ManufEmis Displacement

Carbon in Product PoolsProcessing Energy and Displacement

Page 7: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

Summary Performance Indices Atlanta House vs. Above-grade Wall

16%

38%31%

80%

23%

46%

0% 0%

51%

164%

0%

20%

40%

60%

80%

100%120%

140%

160%

180%

Con

cret

e vs

. Woo

d D

esig

n (%

)

EmbodiedEnergy

GlobalWarming

AirEmissions

WaterEmissions

SolidWaste

House

Abovegrade Wall

Page 8: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

Forest, Product, Emissions, Displacement & Substitution Carbon by Component

-100

0

100

200

300

400

500

600

700

800

2000

2005

2010

2015

2020

2025

2030

2035

2040

2045

2050

2055

2060

2065

2070

2075

2080

2085

2090

2095

2100

2105

2110

2115

2120

2125

2130

2135

2140

2145

2150

2155

2160

2165

Year

Met

ric

Tons

Per

Hec

tare

Stem Root Crown Litter Dead Chips Lumber HarvEmis ManufEmis Displacement Substitution

Forestwith Products

with Substitution

Forest, Product and Substitution Pools

Page 9: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

Carbon in Forests, Productsand Concrete Frame Substitutes

Averages over time intervals

Page 10: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

Problem• This raises several interesting questions for carbon strategy in the

Inland West.– What is the impact of fire which eliminates the opportunity to

produce products and also impedes regeneration and productivity.

– Should the Inland West produce long lived product or biofuels

• Knowing the carbon impact after a range of fire risk reduction treatments (NA, BA45, 9&Under, 12&Up, & Wildfire) is not sufficient.

• We need to know the expected value of carbon which depends upon the probability of fire as a function of the treatment.

• We also need to know the likelihood of producing long lived engineered products vs. biofuel

Page 11: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

Methods applied to Okanogan FIA data• Average per acre metric tons of carbon were calculated for each

5-year time period from 1995 to 2030 for NoAction(NA), BA45, 9&Under, 12&Up, and Wildfire treatments.

• Fire risks were estimated using the FVS Fire and Fuel Extension (FFE model) and categorized as Hi, Moderate or Low risk.

• Probability of fire was computed/calibrated at 17% per 5 year period to result in 15% unburned refugia after 50 years based on prior studies.

• 17% of the acres at high risk were burned each period, 8% at moderate risk and 0 % for low risk.

• Composite carbon totals through time were calculated as a percentage of acres treated and whether unburned or burned.

• All treatments occurred in 2000 or were phased in; Fire occurredeach time period.

Page 12: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

Assumptions

• Low risk acres don’t burn (or low intensity fire)

• High and Moderate risk acres can only burn once in the period

• After a fire on High and Moderate risk acres the carbon remaining is estimated from post-fire residual stands:– higher in the north (Okanogan)– lower in the south (Fremont)

• Regeneration is assumed and may be excessive (many burned stands may actually be ready for a second burn)

• Snags are decayed (no salvage)

Page 13: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

Percent of Landscape in Low Risk Class

0

0.05

0.1

0.15

0.2

0.25

0.3

0.35

0.4

0.45

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Perc

ent

Acres in Low Risk Class - no fire

Page 14: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

Acres burned each period:Okanogan with Regeneration

Percent of Landscape Burned Each Time Per

0

0.02

0.04

0.06

0.08

0.1

0.12

0.14

0.16

2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050Year

Increase in high risk acres

Page 15: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

Acres unburned :Okanogan with Regeneration

Increase in high risk acres

Percent Unburned

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

1990 2000 2010 2020 2030 2040 2050 2060

Percent

Page 16: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

Forest Carbon: Okanogan with Regen

0.0

5.0

10.0

15.0

20.0

25.0

30.0

35.0

40.0

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

MT

/ Acr

e NA12&Over9&UnderBA45

Forest Carbon:Okanogan with Regeneration

Page 17: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

All Carbon: Okanogan with Regen

0.0

10.0

20.0

30.0

40.0

50.0

60.0

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

MT

/ Acr

e NA12&Over9&UnderBA45

ALL Carbon:Okanogan with Regeneration

Page 18: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

Fire Risk

0

100000

200000

300000

400000

500000

600000

700000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Acres

High Moderate Low

Fire Risk

0

100000

200000

300000

400000

500000

600000

700000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Acres

High Moderate Low

Fire Risk

0

100000

200000

300000

400000

500000

600000

700000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Acres

High Moderate Low

Fire Risk

0

100000

200000

300000

400000

500000

600000

700000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Acres

High Moderate Low

Fire Risk

0

100000

200000

300000

400000

500000

600000

700000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Acres

High Moderate Low

Fire Risk

0

100000

200000

300000

400000

500000

600000

700000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Acres

High Moderate Low

Fire Risk

0

100000

200000

300000

400000

500000

600000

700000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Acres

High Moderate Low

Fire Risk

0

100000

200000

300000

400000

500000

600000

700000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Acres

High Moderate Low

NA No Fire NA Fire

12 & Over No Fire 12 & Over Fire

9 & Under No Fire 9 & Under Fire

BA45 No Fire BA45 Fire

Page 19: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

Carbon

0

10000000

20000000

30000000

40000000

50000000

60000000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Metric

Ton

s

Forest Products Substitution

Carbon

0

10000000

20000000

30000000

40000000

50000000

60000000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Metric

Ton

s

Forest Products Substitution

Carbon

0

10000000

20000000

30000000

40000000

50000000

60000000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Metric

Ton

s

Forest Products Substitution

Carbon

0

10000000

20000000

30000000

40000000

50000000

60000000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Metric

Ton

s

Forest Products Substitution

Carbon

0

10000000

20000000

30000000

40000000

50000000

60000000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Metric

Ton

s

Forest Products Substitution

Carbon

0

10000000

20000000

30000000

40000000

50000000

60000000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Metric

Ton

s

Forest Products Substitution

Carbon

0

10000000

20000000

30000000

40000000

50000000

60000000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Metric

Ton

s

Forest Products Substitution

Carbon

0

10000000

20000000

30000000

40000000

50000000

60000000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Metric

Ton

s

Forest Products Substitution

NA No Fire NA Fire

12 & Over No Fire 12 & Over Fire

9 & Under No Fire 9 & Under Fire

BA45 No Fire BA45 Fire

Page 20: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

12 & Over:20% of Initially High and Moderate groups treated during each of first 5 periods (2000 – 2020)

Fire Risk

0

100000

200000

300000

400000

500000

600000

700000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Acres

High Moderate Low

Carbon

0

10000000

20000000

30000000

40000000

50000000

60000000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Metric

Ton

s

Forest Products Substitution

Harvest Volume

0

1000000

2000000

3000000

4000000

5000000

6000000

7000000

8000000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

MBF

0-12" 12-24" 24"+

Structure

0

100000

200000

300000

400000

500000

600000

700000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Acres

Grass/Forb Sapling-Single Sapling-Multi Small-Single

Small-Multi Medium-Single Medium-Multi

Acres Burned

0

100000

200000

300000

400000

500000

600000

700000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Acres

New Burn

Acres Treated

0

100000

200000

300000

400000

500000

600000

700000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Acres

New Treated

Page 21: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

9 & Under:20% of Initially High and Moderate groups treated during each offirst 5 periods (2000 – 2020)

Fire Risk

0

100000

200000

300000

400000

500000

600000

700000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Acres

High Moderate Low

Carbon

0

10000000

20000000

30000000

40000000

50000000

60000000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Metric

Ton

s

Forest Products Substitution

Harvest Volume

0

1000000

2000000

3000000

4000000

5000000

6000000

7000000

8000000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

MBF

0-12" 12-24" 24"+

Structure

0

100000

200000

300000

400000

500000

600000

700000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Acres

Grass/Forb Sapling-Single Sapling-Multi Small-Single

Small-Multi Medium-Single Medium-Multi

Acres Burned

0

100000

200000

300000

400000

500000

600000

700000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Acres

New Burn

Acres Treated

0

100000

200000

300000

400000

500000

600000

700000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Acres

New Treated

Page 22: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

BA45:20% of Initially High and Moderate groups treated during each offirst 5 periods (2000 – 2020)

Fire Risk

0

100000

200000

300000

400000

500000

600000

700000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Acres

High Moderate Low

Carbon

0

10000000

20000000

30000000

40000000

50000000

60000000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Metric

Ton

s

Forest Products Substitution

Harvest Volume

0

1000000

2000000

3000000

4000000

5000000

6000000

7000000

8000000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

MBF

0-12" 12-24" 24"+

Structure

0

100000

200000

300000

400000

500000

600000

700000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Acres

Grass/Forb Sapling-Single Sapling-Multi Small-Single

Small-Multi Medium-Single Medium-Multi

Acres Burned

0

100000

200000

300000

400000

500000

600000

700000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Acres

New Burn

Acres Treated

0

100000

200000

300000

400000

500000

600000

700000

1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050

Year

Acres

New Treated

Page 23: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

Treatments: Fire 9"- 12"+ 45sfBACarbon mil. Tonnes 23.9 26.8 33.1 31.4

Burn 000's acres 557 471 562 377

Harvest mil bft 0 495 5084 3213

Treatments phased in over 25 years

Page 24: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

$mils Treatments: Fire 9"- 12"+ 45sfBACarbon Value @$2/T $48 $54 $66 $63Rel Carbon Rev $0 $6 $18 $15

Fire Dept Cost@$2000/acre $1,114 $942 $1,124 $754

Harvest Value@$200/m bf $0 -$30 $1,017 $573rem oval of non-m kt m at'l $300/acre $150/acre

Net Rev-Cost -$1,114 -$978 -$126 -$196

Treatment Costs and Revenues

Page 25: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

Conclusions• Fire risk reduction treatments do increase carbon stored

•12 tonnes/acre but the accounting is complex

• Treatment response time reduces benefits (limits reduction in acres burned & delays product carbon)

• 9”&under barely reduces fire risk or cost

• 12+&over produces highest net revenue but maintains high fire risk

•Other non-mkt values (avoided costs) would reduce benefit

• 45sfBA almost as good with fire fighting cost included•Better with other non-mkt benefits included

Page 26: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

Support Acknowledgements

• CORRIM- Consortium for Research on Renewable Industrial Materials – 15 research institutions and 23 authors– DOE & 5 companies funded the Research Plan– USFS/FPL, 10 companies & 8 institutions funded Phase I

• PNW & SE product manufactures surveyed

• USDA/CSREES National Research Initiative competitive grants program

• EPA & Special grants for carbon links

Page 27: Carbon and Fire Risksoilcarboncenter.k-state.edu/conference/carbon2/Lippke_Baltimore_05.pdf · Methods applied to Okanogan FIA data • Average per acre metric tons of carbon were

The Details

CORRIM: www.CORRIM.ORG

Athena: www.athenaSMI.ca

LMS: http://LMS.cfr.washington.edu

USLCI database: www.nrel.gov/lci