Hawkins l 20150707_1700_upmc_jussieu_-_room_105

17
Forest Mortality, Economics, & Climate Linnia Hawkins 1 , Philip Mote 2 , Beverly Law 3 , Andrew Plantinga 4 , Jeffrey Hicke 5 , Myles Allen 6 & Richard Betts 7 1 Earth, Ocean, and Atmospheric Science, Oregon State University, Oregon, USA 2 Oregon Climate Change Research Institute, Oregon, USA 3 College of Forestry, Oregon State University, Oregon, USA 4 Natural Resource Economics and Policy, UC Santa Barbara, California, USA 5 Department of Geography, University of Idaho, Idaho, USA 6 School of Geography and the Environment, Oxford University, Oxford, UK 7 Met Office Hadley Centre, Exeter, UK Photo by Jeff Hicke

Transcript of Hawkins l 20150707_1700_upmc_jussieu_-_room_105

  • Forest Mortality, Economics, & Climate

    Linnia Hawkins1, Philip Mote2, Beverly Law3, Andrew Plantinga4, Jeffrey Hicke5, Myles Allen6 & Richard Betts7

    1Earth, Ocean, and Atmospheric Science, Oregon State University, Oregon, USA

    2Oregon Climate Change Research Institute, Oregon, USA

    3College of Forestry, Oregon State University, Oregon, USA

    4Natural Resource Economics and Policy, UC Santa Barbara, California, USA

    5Department of Geography, University of Idaho, Idaho, USA

    6School of Geography and the Environment, Oxford University, Oxford, UK

    7Met Office Hadley Centre, Exeter, UK

    Photo by Jeff Hicke

  • Climate Induced Forest Mortality

    Phillip J. van Mantgem et al., 2009

    Allen et al., 2010

  • OBJECTIVES

    Identify regions vulnerable to climate-induced tree mortality.

    Quantify the impacts of climate change on forest ecosystem services.

    Investigate feedbacks among climate, forest response, and economic factors.

    Identify policy and management strategies that preserve forest function.

  • Approach

    Quantity

    Price

    Demand

    Supply

    Timber market

    Climate

    Dynamic Vegetation

    Economics

    Bark Beetle Attack

    CLM 4.5 Drought & Fire

  • Climate RCP8.5 2040-2069 minus 1970-1999 M

    iroc5

    IP

    SL

    _C

    M5

    A_

    MR

    Minimum Temperature Maximum Temperature Precipitation

  • Bark Beetle Model

    1998 2002 2006

    05

    00

    15

    00

    25

    00

    Cascades

    Are

    a w

    ith m

    ort

    alit

    y (

    km

    2)

    1998 2002 2006

    02

    00

    40

    06

    00

    80

    0Sierra Nevada

    Are

    a w

    ith m

    ort

    alit

    y (

    km

    2)

    1998 2002 2006

    02

    00

    40

    06

    00

    80

    0

    Columbia Plateau

    Are

    a w

    ith m

    ort

    alit

    y (

    km

    2)

    1998 2002 2006

    05

    000

    15

    00

    02

    50

    00

    Northern Rockies

    Are

    a w

    ith

    mo

    rtalit

    y (

    km

    2)

    Observed

    Predicted Single Region

    95% CI

    Combined Regions

    1998 2002 2006

    01

    00

    03

    00

    05

    00

    0

    GYE

    Are

    a w

    ith

    mo

    rtalit

    y (

    km

    2)

    1998 2002 2006

    20

    00

    40

    00

    60

    00

    80

    00

    Southern Rockies

    Are

    a w

    ith

    mo

    rtalit

    y (

    km

    2)

    -20 -15 -10 -5 0

    -3-2

    -10

    12

    3

    Cascades

    Winter T min (C)

    log

    -odds o

    f tr

    ee m

    ort

    alit

    y

    -20 -15 -10 -5 0

    -3-2

    -10

    12

    3

    Sierra Nevada

    Winter T min (C)lo

    g-o

    dds o

    f tr

    ee m

    ort

    alit

    y

    -20 -15 -10 -5 0

    -3-2

    -10

    12

    3

    Columbia

    Winter T min (C)

    log

    -odds o

    f tr

    ee m

    ort

    alit

    y

    -20 -15 -10 -5 0

    -3-2

    -10

    12

    3

    Northern Rockies

    Winter T min (C)

    log

    -odds o

    f tr

    ee m

    ort

    alit

    y

    0.0 0.2 0.4 0.6 0.8 1.0

    -3-2

    -10

    12

    3

    GYE

    Cold tolerance

    log

    -odds o

    f tr

    ee m

    ort

    alit

    y

    -20 -15 -10 -5 0-3

    -2-1

    01

    23

    S Rockies

    Winter T min (C)

    log

    -odds o

    f tr

    ee m

    ort

    alit

    y

    1998 2002 2006

    05

    00

    15

    00

    25

    00

    Cascades

    Are

    a w

    ith m

    ort

    alit

    y (

    km

    2)

    1998 2002 2006

    02

    00

    40

    06

    00

    80

    0

    Sierra Nevada

    Are

    a w

    ith m

    ort

    alit

    y (

    km

    2)

    1998 2002 2006

    02

    00

    40

    06

    00

    80

    0

    Columbia Plateau

    Are

    a w

    ith m

    ort

    alit

    y (

    km

    2)

    1998 2002 2006

    05

    000

    15

    00

    02

    50

    00

    Northern Rockies

    Are

    a w

    ith

    mo

    rtalit

    y (

    km

    2)

    Observed

    Predicted Single Region

    95% CI

    Combined Regions

    1998 2002 2006

    01

    00

    03

    00

    05

    00

    0

    GYE

    Are

    a w

    ith

    mo

    rtalit

    y (

    km

    2)

    1998 2002 2006

    20

    00

    40

    00

    60

    00

    80

    00

    Southern Rockies

    Are

    a w

    ith

    mo

    rtalit

    y (

    km

    2)

  • Land Surface Model CLM4.5

    1. LANDFIRE: LANDFIRE 1.1.0, 30-m Mean Fire Return Interval layer. U.S. Department of the Interior, Geological Survey. [Online].

    2. Threshold data, Vickers, D. et al. Tellus B, 2012; ASWC data from Mathys A. et al., Forest Ecology and Management, 2014.

    Forest Cover Fire Vulnerability Drought Vulnerability

    Forested area with more than 90% coverage Areas of Mean Fire Return Interval less than 40 years Areas of Available Soil Water Content < 122mm/year

  • Economic Model

    Biomass

    Growth Rate

    Price point

    Harvest

  • Dynamic Vegetation Model

    Slide courtesy of Doug McNeall, Met Office, Exeter, UK

    Needle-Leaf Forest Fraction

    Initial NL fraction

    2nd equilibrium Change in NL fraction

    1st equilibrium

  • Outcomes

    Determine how climate induced changes in

    forest ecosystems will affect critical ecosystem

    services.

    Identify high priority regions most vulnerable to

    morality by fire, drought, temperature and

    beetle attack.

    Explore the the ecological and economic effects

    of policy scenarios.

    Demand

    Supply

    Climate

    Vegetation

    Economics

    Bark Beetle

    CLM 4.5 Drought & Fire

  • Extra Slides

    Photo by Jeff Hicke

  • Bark Beetle Attack

    photo bigsky.org

    Recent outbreak:

    Warmer winters

    Summer drought

    Climate drivers:

    Winter minimum temperature

    Fall temperature

    Precipitation

  • Economic model structure

    Quantity

    Price

    Demand

    Supply

    Quantity

    Price

    Demand

    Supply

    Lumber market Pulp market

    Price in lumber market

    determines demand by

    lumber mills for timber

    Quantity

    Price

    Demand

    Supply

    Timber market

    Price in pulp market

    determines demand by

    pulp mills for timber

    Prices in timber market

    determine supply by

    lumber and pulp mills

    Chip sales

    Private forest owners supply timber to the mill offering highest price

  • 2020-2049 2070-2099

    Difference

    Annual carbon loss due to fire

    Business as usual, Miroc5

  • Weather @ home

  • Super-ensemble

  • Uncertainty