science and tools for fire adaptation and mitigation
TRANSCRIPT
Miguel Pinedo-Vasquez, Victor Gutierrez-Velez, Katia Fernandes, Christine Padoch, Maria Uriarte, Walter Baethgen and
Ruth DeFries
Science and tools for fire adaptation and mitigation CIFOR-EARTH INSTITUTE PARTNERSHIP
1. Many tropical areas are experiencing profound and rapid landscape change.
2. Some of these changes are resulting in an increased risk of agricultural fires escaping.
3. Drivers of increased fire incidence are complex and interrelated, often in non-linear ways
4. We are developing science and tools that may help communities both mitigate and adapt to climate change
and fire risk in tropical landscapes.
Outline
Landscape Transitions
Fires in humid tropical regions
• Fire is not a natural phenomenon but its use can be dated to 8,000 yrs BP. (Bush et al. 2007)
• It is the cheapest tool for land preparation, pasture and plantation management (Fernandes et al. 2011)
• Where climate change leads to decreased precipitation (Malhi, 2008), fire uses need to adapt
Multiple dimensions of change influencing fire risk
DemographicShifts
AbsenteeLandlords
FIRE RISK
Droughts
Land use/coverchanges
Large pasturesplantations
Vegetation change
Dry spells
Variability Seasonality
UrbanizationMobility
Social/demographic dimensions
Climatic dimensions
Land cover dimensions
Fires are increasing in areas with declining rural population in Western Amazonia
Uriarte et al. (2012).
Prop. change in rural population
Fewer people
More people
OccurNoRdNoYoungerX
-1.0
-0.5
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1.0
1.5
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ort
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ort
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ary
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Secondary forests and adult oil palm plantations can help reduce fire occurrence.
Gutierrez-Velez et al (submitted)
Sta
ndard
ize
d p
ara
mete
r
estim
ate
OccurNoRdNoYoungerX
-1.0
-0.5
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Sh
ort
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ss**
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Regro
wth
***
Second
ary
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ung p
alm
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Ado
lesc. p
alm
Adult p
alm
***
SP
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Sh
ort
x S
PI*
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Gra
ss x
SP
I***
Regro
wth
x S
PI*
**
Second
ary
x S
PI*
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Adult p
alm
x S
PI
OccurNoRdNoYoungerX
-1.0
-0.5
0.0
0.5
1.0
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2.0
Sh
ort
***
Gra
ss**
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Regro
wth
***
Second
ary
***
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ung p
alm
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alm
Adult p
alm
***
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ort
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Regro
wth
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PI*
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ary
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PI*
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alm
x S
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More
fire
OccurNoRdNoYoungerX
-1.0
-0.5
0.0
0.5
1.0
1.5
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Sh
ort
***
Gra
ss**
*
Regro
wth
***
Second
ary
***
Yo
ung p
alm
***
Ado
lesc. p
alm
Adult p
alm
***
SP
I***
Sh
ort
x S
PI*
**
Gra
ss x
SP
I***
Regro
wth
x S
PI*
**
Second
ary
x S
PI*
**
Adult p
alm
x S
PI
8Gutierrez-Velez et al (submitted)
Sta
ndard
ize
d p
ara
mete
r
estim
ate
OccurNoRdNoYoungerX
-1.0
-0.5
0.0
0.5
1.0
1.5
2.0
Sh
ort
***
Gra
ss**
*
Regro
wth
***
Second
ary
***
Yo
ung p
alm
***
Ado
lesc. p
alm
Adult p
alm
***
SP
I***
Sh
ort
x S
PI*
**
Gra
ss x
SP
I***
Regro
wth
x S
PI*
**
Second
ary
x S
PI*
**
Adult p
alm
x S
PI
More
fire
OccurNoRdNoYoungerX
-1.0
-0.5
0.0
0.5
1.0
1.5
2.0
Sh
ort
***
Gra
ss**
*
Regro
wth
***
Second
ary
***
Yo
ung p
alm
***
Ado
lesc. p
alm
Adult p
alm
***
SP
I***
Sh
ort
x S
PI*
**
Gra
ss x
SP
I***
Regro
wth
x S
PI*
**
Second
ary
x S
PI*
**
Adult p
alm
x S
PI
Drought severity reduces the ability of secondary forests but not of adult oil palm plantations to reduce fire occurrence
Fire Early Warning System in Western Amazonia
J/A/S Western Amazonia fire anomalies can be forecast from retrospective Sea Surface Temperature.
-2.00
-1.00
0.00
1.00
2.00
3.00Precip-JAS Fires-JAS
Fernandes, K., et al. (2011).
Fires Early Warning System in Western Amazonia
(a) (b) (c)
JAS 2010 Fire-Anomalies predicted since (a) April, (b) May and (c) June with 95% confidence.
Fernandes, K., et al. (2011).
Fernandes, K., et al. (2011).
1. Designing early warning systems for adaptation to climate variability.
2. Providing institutional support for fire prevention and intervention systems.
3. Mapping vulnerability to fire based on socio-demographic dynamics and landscape change.
4. Designing land cover management strategies to mitigate climate and fire risk in transitional landscapes
We are developing science and tools for local adaptation to fire risk as well as for mitigation:
Thank you