Vulnerability of carbon pools in tropical peatlands
Transcript of Vulnerability of carbon pools in tropical peatlands
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Vulnerability of carbon pools in tropical peatlandsVulnerability of carbon pools in
tropical peatlands
Contributions from: Al Hooijer, Jyrki Jauhiainen, Hans Joosten, Florian Siegert, Susan Page
Photos: Kim Serensen
Pep CanadellGlobal Carbon Project, CSIRO, Canberra, Australia
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Tropical Peatland10-12%
30-45 Mha70-80 Pg Carbon
Global Peatland Distribution
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Susan Page, 2006
Peatland Distribution in Southeast Asia
16-27 Mha in Indonesia55 Pg Carbon
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Vulnerability of Tropical Peatlands
CEmissions
VulnerableC Pools
Climate SystemClimate Variability-El Nino
Climate Change
(+)(+)
(+) ImpactsGlobal
(climate change)Regional
(haze: health, tourism, aviation)Local
(industry: peat subsidencelocal comm.: subsistence)
X
(+)
Human SystemLand Use Change:
Deforestation, Drainage
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Drivers of VulnerabilityLand Use Change
• Need land for:– Growing population and Transmigrasi programs– Expansion of oil palm plantations (food, biodiessel)– Expansion of pulp for paper industry
• Forest degradation:– Unsustainable selective logging– Illegal logging
• Depletion of lowland land on mineral soils
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Drivers of Vulnerability: Climate Change
Dry Season (JAS) (0°-10°S)
Rainf
all (m
m da
y-1)
Li et al. 2007
----- 1959-1999- - - 2050-2099
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Characteristics of Vulnerability
• Drainage of peat– Extensive of large canals– Dense network of small canals (eg. illegal logging)
• Extensive use of fire to clear • Strong interaction between fire x droughts
(particularly El Niño, but also Indian Ocean Dipole)
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7 Mha drained peat in SE Asia 7 Mha drained peat in SE Asia
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Illegal loggingIllegal logging
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Small farming Small farming -- TransmigrasiTransmigrasi
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Oil palm for foods and biodiesel Oil palm for foods and biodiesel
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Palm Oil Production and Exports in Indonesia
1/3 on peatland
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• Soils are very poor• Fertilization results in
production of N2O• Global Warming potential 296
larger than CO2
Credit: Lim Kim Huan
Oil palm for foods and biodiesel Oil palm for foods and biodiesel
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Credit: Lim Kim Huan
OverOver--logged forestlogged forest
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Acacia plantations for pulp woodAcacia plantations for pulp wood
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Photo
: Wor
m
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• Sources:– Combustion (fire)
• Biomass loss• Peat loss• Emissions (eg, emission factors for peat)
– Oxidation (decomposition, heterotrophic respiration)• Emissions due to drainage
– Lateral removal• Losses into canals and rivers
• Sinks:– Plant uptake
• Regrowth or uptake by mature forests
Net Carbon Balance: Components
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• Emissions from Combustion (fire):– Ground monitoring of peat loss (bottom-up) and
atmospheric/modeling estimates (top-down).
• Emissions from Oxidation (heter. resp.):– To measure peat subsidence and decompose the
contributions from compaction versus decomposition
Methodological Approach
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Emissions from Peat Fires
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Ballhorn et al. 2009, PNAS, in press, Page et al. 2002
Fire Hotspots on Peat in Borneo
El Niño, 1997 – emissions 0.8-1.4 PgC
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Ballhorn et al. 2009, PNAS, in press
Fire Hotspots on Peat in Borneo
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Ground water level modulates the intensity and spread of fires in the tropical peat swamp forest
0
50
100
150
200
250
1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004
-200
-150
-100
-50
0
50
no
Plot Plot 1B Camp Plot 1B
no data
Prec
ipita
tion
(mm
day-
1 )
Gro
und
Wat
er L
evel
(cm
)
no data
Takahashi, unpublished
South Kalimantan
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Spatial Distribution of the CO2 Growth Perturbations
Rodenbeck et al. 2003
Flux Anomalies El Nino (June 1997-May 1998 [gC/m2/yr])
Flux Anomalies La Nina (Oct 1998-Sept 1999 [gC/m2/yr])
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Ballhorn et al. 2009, PNAS, in press
Loss of peat by fire
LIDAR: Light Detection and Ranging (laser pulses from aircraft)
• High estimate resolution:2-3 cm
• 112 returns in unburned per ha
• 1200 returns in burned areas per ha
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Ballhorn et al. 2009, PNAS, in press
Loss of peat after fire
• 256,273 ha burned in 2006
• > 2,000 ha of transects
• Average fire scar depth: 33 cm
• Burned area x 0.33 m x bulk density x 58% carbon = carbonlost (49±25MtC)
Indonesia wide (2006) - peat lost to fire: 0.4 PgC y-1
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Emissions from Peat Decomposition
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CH4 Emissions and water water levels
Peat swamp
Cowenberg et al. 2009
CH4
emiss
ions (
mg m
-2h-1
) Boreal and Temperatepeat
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CO2 Soil Respiration and water table level
CO2
soil r
espir
ation
(g m
-2h-1
)
Cowenberg et al. 2009, in press
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Photo: Jyrki J, Johor Bahru, Malaysia
OriginaldrainageNew
drainage
1979
2007
Subsidence and GHG emissions
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• Consolidation: the compression of saturated peat (compaction1).
• Shrinkage: volume reduction due to lost of water from pores (compaction2).
• Oxidation: gradual volume reduction due to decomposition of organic matter.
• Fire: fast or rare lost of organic matter by burning.
Subsidence as a surrogate for GHG emissions
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60% compaction 40% respiration (average multi-decade)
Compaction versus Respiration
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Drainage
South Kalimantan (Borneo)KF site
Takashi et al. 2006
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Takashi et al. 2006
CO2 sourceCO2 sink
Dec. Jun. Dec. Jun. Dec. Jun. Dec.
-2
0
2
4
6
Time
2002 2003 2004
Net E
cosy
stem
Exch
ange
(g C
m2
d-1) South Kalimantan, Borneo
Drained swamped forest: Net Carbon Balance
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• Peat fires: 0.25±0.14 PgC (Indonesia 2006, Ballhorn et al. 2009, PNAS)
• Peat+Biomass fires: 0.3 Pg CSE Asia, year average for 1997-2008; (0.8-2.5 Pg C, 1997)
van der Werf et al. 2006, updated)
• Peat decomposition: 0.17±0.8PgC (2006 SE Asia, Hooijer et al. 2009, Biogeosciences)
Emissions from Combustion + Oxidation
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• Peat Combustion + Oxidation emissions– El Niño-year: 0.4 PgC y-1
– Long-term average: 0.2-0.3 PgC y-1
• Global LUC emissions– 1990-2005: 1.5±0.7 Pg C y-1
– 2008: 1.2±0.6 Pg C y-1
Emissions from Peat Combustion + Oxidation
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Vulnerability of Tropical Peatlands
CEmissions
VulnerableC Pools
Climate SystemClimate Variability-El Nino
Climate Change
(+)(+)
(+)
(-)(-)
(-)
MitigationAdaptation
(REDD)
Regional Sustainable Development
ImpactsGlobal
(climate change)Regional
(haze: health, tourism, aviation)Local
(industry: peat subsidencelocal comm.: subsistence)
X
(+)
Human SystemLand Use Change:
Deforestation, Drainage
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www.globalcarbonproject.org