climate change implications for fire and invasive species across american...
TRANSCRIPT
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Climate Change Implications
for Fire and Invasive Species
across American Deserts
John T. Abatzoglou 1,2*
Crystal A. Kolden2
1San Jose State University, San Jose, California2Desert Research Institute, Reno, Nevada
*Corresponding Author: [email protected]
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Primary Questions
1) What is currently known about climate
drivers of fire and invasive species?
2) What are climate change projections for
American Deserts?
3) How will climate change manifest in
future fire regimes and spread of
invasives?
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Primary Questions
1) What is currently known about climate
drivers of fire and invasive species?
2) What are climate change projections for
American Deserts?
3) How will climate change manifest in
future fire regimes and spread of
invasives?
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Vegetation (Invasives)
Climate
Wildfire
Vegetation distribution
(bioclimatic envelopes)
Vegetation abundance
(climate variability)
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Vegetation (Invasives)
Climate
Wildfire
Fuel Loading
Fuel Moisture
(interannual variability)
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State of Knowledge on Fire-Climate Relationships
Two kinds of fire regimes based on fire-climate
relationships:
Fuel limited: Xeric environments,
discontinuous fuel bed, always dry
enough to burn
Flammability limited: Mesic
environments, continuous fuel bed,
not usually dry enough to burn
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State of Knowledge on Fire-Climate Relationships
Ecosystems exhibit differential patterns in climate
drivers of fire regimes for the western US
(Weste
rling , 2
008
)
Forest Wildfires Non-Forest Wildfires
Spring-Summer Temperature Anomaly
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Flammability Limited Systems(sufficient fuel and moisture)
Antecedent climate:
Dry winters + warm springs
Longer fire season “window”
State of Knowledge on Fire-Climate Relationships
(Weste
rling e
t al, 2
003
)
Contemporaneous moisture deficit plays a strong role in
increasing fuel flammability
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State of Knowledge on Fire-Climate Relationships
Fuel Limited Systems- American Deserts(insufficient fuel and moisture)
Antecedent climate:
•Moisture abundance drives increased fuel loading
•Perennials accumulate biomass through a moderate
response to moisture availability (1-2 year lag)
Leading moisture surplus (1-2 years) enhances fuel loading
(Weste
rling e
t al, 2
003
)
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State of Knowledge on Fire-Climate Relationships
CLIMATE includes more than just the means…
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State of Knowledge on Fire-Climate Relationships
Fire-ENSO Relationship Across the Southwest
*Swetnam and Baisan, 2003
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State of Knowledge on Fire-Climate Relationships
Fire-ENSO Relationship: Based on ENSO dipole
El Nino: wet
El Nino: dry
La Nina: wet
La Nina: dry
Pacific NW
Southwest
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State of Knowledge on Fire-Climate Relationships
2004-05: Weak to Moderate El Nino
2005Water year
precip %
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State of Knowledge on Fire-Climate Relationships
Fuel Limited Systems- Cave Creek Fire (2005), 100K ha
2005
WHAT WAS
DIFFERENT IN
2005?
Cave Creek Fire and Mojave
fires burned in stands of
invasive annual grasses
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“New” Fire-Climate relationship in
an invaded landscape?
24 18 12 6 0
Pre-Invasives: 1-2 year lag in moisture anomaly for fuel
loading to peak and wildfire potential to be enhanced
Post-Invasives: < 6 month lag in moisture anomaly to
enhanced fuel loadings and wildfire potential
dri
er
P
DS
I w
ett
er
months
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Primary Questions
1) What is currently known about climate
drivers of fire and invasive species?
2) What are climate change projections
for American Deserts?
3) How will climate change manifest in
future fire regimes and spread of
invasives?
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Observations of Change
Oct 2008: Warmest Global Land Surface Temperature
Calendar Year to Date: 6th warmest on record (2007 warmest)
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Observations of Change
Beyond just mean annual temperature…
Spring:
+0.28˚C/decade
Autumn:
+0.07˚C/decade
Areal Average of 11 Western States
Abatzoglou &
Redmond,
2007
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Observations of Change
Asymmetric Trend in Cool Season Precipitation
Linear Trend 1958-2006
% C
han
ge P
er D
ecad
e
October-November January-April
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Projections also based on Emissions Scenarios
Envelopes: Range of Expected Conditions from models
IPCC AR4
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The “unknowns” = many models (GCMs)
(2˚x2˚ horizontal resolution)
ΔTemp, Δ Precipitation, Δ Relative Humidity, Δ Wind Speed
SRES-A1B
Climate Change
GFDL
CM2.1
CGCM
T63
MIROC
medres
NASA
GISS-ER
MIROC
hires
CGCM
T47
GFDL
CM2.0
BCCR
BCM2.0
CNRM
CM3
INM
CM3
IPSL
CM4
MRI
CGCM2FGOALS ECHAM5
CSIRO
MK3.5
Climate Models
Emission Scenario
Projections in 5-Dimensions
Time
Space (3-D)
Probability
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Basic projections: warming in western US
Many models = many projections (some commonality)
Degrees C
Change from 1971-2000
2041-2070
SRES-A1B
Mar-May
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Basic projections: warming in western US
Forming a consensus of Future Climate Change
Mar-May
Degrees Celsius Change from 1971-2000
“High degree of Certainty”
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Basic projections: meridional dipole in spring precipitation
% change in Precipitation
Forming a consensus of Future Climate Change
Mar-May
“High degree of Certainty”
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Basic projection: Drier during “Fire Season”
Seasonal Differences in Precipitation
Great Basin Desert Sonoran Desert
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Basic projections: increased variability in winter precipitation
15 Model Median
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Projections: potential for a “wet” winter
15 Model Median
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Basic projections: potential for a “dry” spring
50%
increase
15 Model Median
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Opportunistic Managementd
rier
P
DS
I w
ett
er
Opportunity for
Wildfire +
Invasive Spread
Opportunity for Action
Climate Variability
means…
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Primary Questions
1) What is currently known about climate
drivers of fire and invasive species?
2) What are climate change projections for
American Deserts?
3) How will climate change manifest in
future fire regimes and spread of
invasives?
![Page 31: Climate Change Implications for Fire and Invasive Species across American Desertsrangelands.org/deserts/powerpoints/plenary/Abatzoglou_Climate_Change.pdf · Climate Change Implications](https://reader035.vdocument.in/reader035/viewer/2022070908/5f8590ef5a46e168965df5bb/html5/thumbnails/31.jpg)
Impacts on fire and invasives
Invasives
Climate Change (means+variability)
Wildfire
disturbancealtered
fuels
Invasion
potential
1) Changing
geographic
distribution based
on bioclimatic
envelopes
2) Changing fire
occurrence, fire
severity, fire
regimes
1 2
Feedback
cycle
Coupled-
model
approach
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Impacts on fire and invasives
1) Changing geographic distribution based on
bioclimatic envelopes• Requires an understanding of bioclimatic thresholds through
predictive vegetation models … assuming stationary vegetation…
• Development of these models requires presence/absence maps
and spread maps (not yet done for invasives at landscape scales)
• Bioclimatic envelope needs to include climate variability
Bradley et al, in press
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Impacts on fire and invasives
2) Changing fire danger – based on NFDRS
Output: numerical indices that provide managers a way to
assess day-to-day fire business decisions
(e.g., suppression response, staffing levels, strategy)
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Impacts on fire and invasives
1) Changing fire danger – based on NFDRS
Output: numerical indices that provide managers a way to
assess day-to-day fire business decisions
(e.g., suppression response, staffing levels, strategy)
ERC
Energy Release Component (ERC): potential fire intensity
Extreme Fire Danger: 97th percentile ERC for the historical period (1980-2007)
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Impacts on fire and invasives
1) Changing fire danger – based on NFDRS
Most important changes are the extremes, not the mean
Wildfire tend to happen
during extreme events
low moderate high extreme
ERC
Pro
ba
bili
ty o
f O
ccu
rre
nce
97th Percentile
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Impacts on fire and invasives
1) Changing fire danger – based on NFDRS
Wildfire tend to happen
during extreme events
How will climate change
alter the frequency of high
fire danger (ERC)?
low moderate high extreme
ERC
Pro
ba
bili
ty o
f O
ccu
rre
nce
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Impacts on fire and invasives
1) Changing fire danger – based on NFDRS
Wildfire tend to happen
during extreme events
How will climate change
subsequently alter the
frequency of high fire
danger (ERC)?
low moderate high extreme
ERC
Pro
ba
bili
ty o
f O
ccu
rre
nce
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Example of extreme fire danger
97th % (ERC=48) defines EXTREME fire danger for 2005 Cave Creek fire
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8 km220 km
Downscaling for Climate Change Assessment
Problems: (1) GCM resolution is far too coarse required for assessment
(2) Biases in climatology (spatially and temporally)
(3) Regional climate variability (topography, water)
Solution: Downscaling coarse scale predictors (500hPa height, temp, precip, SLP) to fine scale predictants (TMAX, RHMIN,…)
8 km
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Calculating future extreme fire danger
Modeled Future
Weather
Modeled Present
Weather
NFDRS, Fuel Model G
Modeled Present
ERC
32km grid
NARR (32km grid)
Modeled Future
ERC
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Future Fire Danger
Percent increase in Extreme Fire Danger Frequency by Mid-21st Century
No change
Doubled3X increase
in frequency
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Future Fire Danger: Cave Creek
Spring fire season
high confidence in
projected ERC increase
Late summer/fall
high uncertainty yields low
confidence in change
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Future Fire Danger: Cave Creek
April May June
Length of fire season:
use 90th percentile ERC
as a proxy for start/end of
fire season to look at
shifts in season length
and timing
*Earlier onset of fire
season, more intense
(higher fire danger at peak)
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Future Fire Danger
Median Advance in First Day of Year Exceeding 90th
Percentile ERC
3-4 week
advance
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Climate-Fire-Invasives : Climate Variability– Revised fire-climate relationships
– Phenological models for non-native successful establishment
– High resolution climate and meteorological datasets (CEFA)
Climate projections for the American Deserts– High confidence in warming
– Decent confidence in decreases in winter/spring precipitation
– Variability is not dead, opportunities for management
Future fire in the deserts– Drier springs = early fire danger + increase in extreme fire
danger
– Invasives can effectively convert a fuel-limited system to one not limited by fuels or flammability
Summary
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The end
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Bias Correction
Large Cold
Bias
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Coarse-Scale Predictors
Reanalsyis/GCMs
Fine-Scale Predictand
Obs/Future Downscaled
Cata
log
ue
of
Pre
dic
tors
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20th Century Climate: Model
Simulations
Experiment 1: Only apply natural forcing: solar+volcanic
Observations
Solar+volcanic
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20th Century Climate: Model
Simulations
Experiment 2: Now apply anthropogenic forcing + natural
Observations
All Forcing
“Most of observed increase in global average temperatures since
the mid -20th century is very likely due to observed increase in
anthropogenic greenhouse gas concentrations.”
-IPCC AR4 (2007)
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Basic projections: changes in water deficit
• 18/19 GCMs predict decreases in water balance for the SW
United States (Arizona, New Mexico)
• Changes in atmospheric circulation and water transport lead
to storm track shifting poleward and not bringing winter rains
to the SW
H20Deficit
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State of Knowledge on Fire-Invasives
Relationships
Fire is part of a positive feedback cycle with certain
invasives (particularly annuals) in desert ecosystems
•Promotes invasion through disturbance
•Invasive species (esp. annuals) are able to outcompete
natives in early regeneration
•Once established, fire frequency increases due to more
continuous fuel bed, wider range of conditions under which
fuels can burn
Effectively converts a fuel-
limited system to one not
limited by fuels or flammability