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Pervasive Global Warming Changes in Western Forests

Apr 06, 2018

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    Pervasive climate-

    mediated changes

    in western forests

    N. Stephenson, J. Littell,

    P. van Mantgem, D. Peterson,

    and D. McKenzie

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    Part 1: Defining the issues and setting the stage

    Part 2: FOREST DEMOGRAPHY:

    Ongoing changes

    Possible future changes

    Part 3: FOREST GROWTH:

    Ongoing changes Possible future changes

    Part 4: A call to action

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    DEFINING THE ISSUES

    AND SETTING THE STAGE

    Climate

    Fire Forest

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    Climate

    Fire Forest

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    Climate

    Fire Forest

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    Credit: USFS Credit: BC Ministry of Forests and Range

    Already, climate has been linked to episodes of

    broad-scale forest die-back in the mountainous West

    Drought Warming(e.g., southern Calif.) (e.g., British Columbia)

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    But whats happening and likely to happen

    in the bulk of mountain forests in the West,

    which have not experienced extensive die-back?

    Credit: Nate Stephenson

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    Why care?

    Recent studies of

    healthy forests in theAmerican tropics show

    that substantial

    directional changes arein progress, with

    potentially profound

    consequences.

    Credit: Nate Stephenson

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    Tropical forest COMPOSITION is changing

    (e.g., lianas [woody vines] are increasing)

    Credit: Yadvinder Malhi

    Phillips et al., Nature, 2002

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    Tropical forest DYNAMICS are changing

    (e.g., recruitment, growth, and mortality rates are increasing)

    Phillips et al., Phil. Trans. B, 2004

    Recruitment

    Mortality

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    Tropical forest STRUCTURE AND FUNCTION are changing

    (e.g., aboveground biomass, hence C storage,

    may be increasing)

    Lewis et al., Phil. Trans. B, 2004

    Basal area gainBasal area loss

    Difference

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    Are similar changes underway in our

    Western forests?

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    Are similar changes underway in our

    Western forests?

    We simply dont know.

    No one has been doing thenecessary systematic analyses.

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    Our questions:

    In the bulk of mountain forests in the West (whichhave not experienced extensive die-back):

    Are climatically-driven changes in progress? What might we expect for the future?

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    Our questions:

    In the bulk of mountain forests in the West (whichhave not experienced extensive die-back):

    Are climatically-driven changes in progress? What might we expect for the future?

    Our approach:Here, we will address each question separately for:

    Forest demography Forest growth

    DEMOGRAPHY d t i NUMBERS f t

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    DEMOGRAPHY determines NUMBERS of trees

    (birth, natality, recruitment & death, mortality)

    GROWTH determines SIZES of trees

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    GROWTH determines SIZES of trees

    TOGETHER demography and growth rates give us a forest

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    TOGETHER, demography and growth rates give us a forest

    (structure, composition, productivity, and dynamics)

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    DEMOGRAPHY:

    ongoing changes Data from dozens of permanent forest plots

    show that over the last few decades, in the

    otherwise undisturbed old-growth forests of

    California, Oregon, and Washington,

    tree mortality rates have been increasing. However, unlike the tropics,

    recruitment rates have NOT been increasing.

    Maximum snow water content

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    Spring-pulse dates

    Stewart et al., 2004

    Possible cause:

    Summers are getting

    longer and drier.

    Snowpack has been

    decreasing over most ofthe West in recent

    decades

    and spring

    streamflow has beenarriving earlier.

    Maximum snow water content

    Mote et al., BAMS, 2005

    E id f C lif i Si N d

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    Evidence from Californias Sierra Nevada: Summer drought (water deficit) is increasing, due to

    increasing temperature (notdecreasing precipitation). Increasing tree mortality rates are being driven by

    increasing deaths due to insects, pathogens, and stress.

    Year

    1985 1990 1995 2000 2005

    Mo

    rtalityrate(%yr-1)

    0.0

    0.5

    1.0

    1.5

    2.0

    2.5

    Summ

    erwaterdeficit(mm)

    160

    200

    240

    280

    (3

    -yrrunning

    mean)

    van Mantgem & Stephenson, in prep.

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    DEMOGRAPHY:

    possible futures

    Some water-limited forests may be primed for

    a southwestern-style die-back

    Credit: Craig Allen & NSF

    The recent southwestern drought was not exceptional (it was

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    The recent southwestern drought was not exceptional (it was

    wetter than the1950s drought), but the temperature was higher

    Annual

    precipitation(mm) A

    nnualtempera

    ture(C)

    Year Breshears et al., PNAS, 2005

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    But what about forests that are notprimed for asimilar die-back? Specifically,

    Forests that are currently temperature-limited, not water-

    limited (e.g., high-elevation forests, coastal rain

    forests). Forests that may currently be water-limited, but that will

    experience substantially increased precipitation.

    We can get hints from natural productivity gradients.

    Globally forests of productive environments have higher

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    0

    1

    2

    3

    4

    550 46 30 27 27

    Riche

    rsoils

    Poorersoils

    Angio

    sperm

    Gym

    nosperm

    Mix

    ed

    Tropical Temperate(Amazonia) (global)

    Forestturnover(%y

    r-1)

    Forestturnover(%y

    r-1)

    0

    1

    2

    3

    4

    5158 84

    Tropical

    Tem

    perate

    Temperate

    only

    Stephenson & van Mantgem, Ecol. Lett., 2005

    Globally, forests of productive environments have higher

    turnover rates (mortality and recruitment) ...

    ... at least partly because environments that favor

    tree growth also favor the organisms that kill trees.

    Consequences?

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    Elevation (m)

    1500 2000 2500 3000 3500

    Forestturnov

    er(%yr-1)

    0

    1

    2

    3

    y= 2.76 - 0.00066x

    r2

    = 0.49, P< 0.001

    Consequences?In the coniferous forests of the Sierra Nevada:

    a 4

    C increase in temperature is associated with a0.5 %yr-1 increase in population turnover rate,

    potentially reducing average tree age by one third.

    Stephenson & van Mantgem, Ecol. Lett., 2005

    A ibl f i

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    A possible future scenario ...

    Benign climatic changes (e.g., warmer and wetter)

    Increased forest turnover rates

    Smaller, younger trees

    Cascading effects on

    wildlife and biodiversity

    Reduced forest

    carbon storage

    A ibl f t i

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    A possible future scenario ...

    Benign climatic changes (e.g., warmer and wetter)

    Increased forest turnover rates

    Smaller, younger trees

    Cascading effects on

    wildlife and biodiversity

    Reduced forest

    carbon storage

    ... but what about changing growth rates?

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    Tree and Forest Growth

    Compared to biogeography, we know relatively little

    about long-term, broad-scale climatic controls on life-history processes of trees

    Especially true in non-plantation, mountainecosystem settings

    Growth is an indicator of environmental factorsinfluencing species and may be a surrogate for

    establishment.

    GROWTH: Ongoing Changes 1850 1980

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    GROWTH: Ongoing Changes, 1850-1980

    Factor 1= 27 Chronologies w/ high loadings Factor 2 = 12 Chronologies w/ high loadings

    185 Tree-ring chronologies, traditional detrending, factor analysis

    Factor 1 Factor 2

    Factor 1 = Drought-sensitive tree-ring collections

    Factor 2 = High elevation, maritime, high-latitude tree-ring collections

    ~ 146 chronologies dont load highly on either continental pattern

    McKenzie et al. 2001. Can. J. For. Res. 31: 526538. Recent growth of conifer

    species of western North America: assessing spatial patterns of radial

    growth trends

    GROWTH: Ongoing Changes Are Location and

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    Species Dependent

    High Lat. &

    Low Elev.

    Low Lat. &

    High Elev.

    These patterns point to three kinds of growth limitation by climate:

    Water limitation

    Energy limitation

    Some combination of water and energy

    These patterns primarily represent

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    sites dendroclimatologists would

    choose.

    What about the rest of the forests

    in the West?

    How do we go from

    reconstruction-grade sites that tell

    us about the most sensitive trees

    to more mechanistic responses

    that allow inferences for large

    areas of forests?

    GROWTH:

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    GROWTH:

    Within a species range across biogeographical

    space, climate impacts depend on elevation

    PDO

    Peterson and Peterson. 2001. Ecology 82: 3330-3345. Mountain hemlock

    growth responds to climatic variability at annual and decadal time scales.

    GROWTH:

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    GROWTH:

    Across forest types and species within a mountain

    range, climate impacts depend on physiography

    Nakawatase and Peterson. 2006. Can. J. For. Res. 36: 77-91. Spatial

    variability in forest growth climate relationships in the Olympic Mountains,

    Washington.

    GROWTH:

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    GROWTH:

    Within a watershed, for the same species,

    elevation affects growth-climate relationships

    Low elevation vs. Max. Sum. T

    High elevation vs. Prior PDOCase and Peterson. 2005. Can. J. For. Res. 35. Fine-scale variability in

    growthclimate relationships of Douglas-fir, North Cascade Range,

    Washington.

    Growth-limiting factors are not really elevation,

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    g y ,

    latitude, physiography, or even biotic.

    These are all surrogates for different scales of

    climatic (water or energy) limitation, and point to the

    need forMULTI-SCALE, GRADIENT-BASED

    studies of climatic limitation of growth

    170cm219cm 72 cm411 cm = ANN PPT

    Thornton North NCNP Bell River South GNPQuinault North ONP Robinson South IPNF

    Climate Change

    L l li t

    Highest

    Elevation

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    Climate Variability

    Local climate

    North South

    v

    Lowest Elevation

    TopographyPhysiography

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    Climate Dimensions of the PSME Transect

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    Climate Dimensions of the PSME Transect

    Mean Climate Data: DAYMET 1981-1997Climatic Niche Dimensions: Thompson et al. 2001

    ONP

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    StandardChronology(mod.Z

    index)

    NCNP

    IPNF

    GNP

    Within each park, the

    variability in tree-growth is similar

    across low, middle,

    and high elevations.

    Cli t G th C l ti

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    Climate-Growth Correlations:

    TemperatureVIC Climate

    Climate-Growth Relationships:

    H d l i l V i bl

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    Hydrological Variables

    Divisional Climate

    Summary: Growth-Climate Relationships

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    Bonsai PSME, Saint Mary, Glacier National Park

    Most frequent patterns of

    correlations point to

    combined influence of(-)

    temperature and (+)

    precipitation during summer

    Underscored by PDSI (+)

    and water balance deficit (-),

    esp. in IPNF and GNP.

    Some cool season (+) temp.

    and (-) snow relationships,

    primarily in ONP and NCNP.

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    The magnitude of the correlation between seasonal

    hydrological variables and tree-growth depends on the

    position of the plot along a gradient of surplus water in theenvironment.

    GROWTH: Possible Futures

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    Depends on species, climate regime, andchanges in water vs. energy. If we had

    results for most western conifers, we could

    estimate responses. But we dont. Yet.

    McCabe and Wolock. 2002.

    Clim. Res. 20: 1929, 2002

    A CALL TO ACTION

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    We do a pretty good job of monitoring weather, snow, and hydrology.

    We need a complementary network of forest gauging stations.

    This network of forest gauging stations will have

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    two primary goals:

    (1) Change detection

    (complementary to

    remote sensing)

    (2) Developing a

    mechanistic

    understanding

    (otherwise we

    are lost)

    Mo

    rtalityrate

    Sitep

    roductivi

    tyIndividualtre

    e

    growthrate

    Low

    High Low

    High

    Stephenson et al., in prep.

    Such a network is taking shape in CORFOR

    (the Cordillera Forest Dynamics Network)

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    (the Cordillera Forest Dynamics Network)

    http://mri.scnatweb.ch/content/view/88/30/

    PLEASE JOIN US!(... if you have the right kind of data.)