lcluc dynamics and impacts on c and n emissions in south...
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LCLUC Dynamics and Impacts on C and N Emissions in South/South East Asia
Atul JainDepartment of Atmospheric Sciences
University of Illinois, USAEmail: [email protected]
AcknowledgementsNASA LCLUC Program
Matthew Cervarich, Shijie Shu & Prasanth Meiyappan, Hammad Gilani
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Overall Objective• Improve our understanding of the
historical effects of LCLUC dynamics on the quantities and pathways of terrestrial carbon and N fluxes at a country level– achieve by systematically using data and
terrestrial ecosystem model results for LCLUC CO2 and N emissions.
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Countries in South/South East AsiaSOUTH ASIA Bangladesh Bhutan India Nepal Pakistan Sri LankaSOUTH EAST ASIA Cambodia Indonesia Laos Malaysia Myanmar Philippines Thailand, and Vietnam
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Carbon Fluxes Net Ecosystem Productivity
NEP = NPP – RH
Net Biome Productivity
NBP = NEP – ELUC – EFIRE
NPP: Net primary productivity
RH: Heterotrophic respiration
ELUC: Emissions due to land use change
EFIRE: Emissions due to fires.
Fossils: Emissions due to fossil fuel burning
NPP
RH LU
FIR
E
Foss
ils
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Estimations of NEP and ELUC Emissions
Used nine different dynamic vegetation model results, which are calculated based on one set of LCLUC data for SSEA (9 DGVM and 1 LCLUC Date Set)
Model Resolution(lat x lon)
CLM 1.25° x 0.9375°
ISAM 0.5°x 0.5°
JULES 0.8° x 1.07°
LPJ 0.5°x 0.5°
LPJ_GUESS 0.5°x 0.5°
LPX 1.0°x 1.0°
ORCHIDEE 0.5°x 0.5°
VEGAS 0.5°x 0.5°
VISIT 0.5°x 0.5°
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Models were forced with HYDE land cover data
Cervarich et al. (ERL, 2016)
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Results: NEP
NEP = NPP – RH SSEA NEP
1980s: 410 Tg Cyr-1
1990s: 492 TgC yr-1
2000s: 547 TgC yr-1
0
100
200
300
400
500
600
700
800
1980 1985 1990 1995 2000 2005 2010N
EP (T
gC y
r-1)
SSEA
General increasing trend has been attributed to CO2fertilization
Yearly variations are driven by the temperature variations Standard Deviation of 122 TgC yr-1.
CV is 25%
1987 El Nino
1997-98 El Nino
2008-09 El Nino
Cervarich et al. (ERL, 2016)
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Results: ELUC Decadal emissions 1980s: 199 TgC yr-1
1990s: 304 TgC yr-1
2000s (Average for the period 2000-2013): 244 TgC yr-1
Indonesia (95 TgC yr-1) and Malaysia (14 TgC yr-1) were the greatest emitters in the 2000s
Cervarich et al. (ERL, 2016)
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Net Biome ProductionNBP = NEP – ELUC - EFIRE
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Results: EFIRE Fire emissions were obtained from the Global Fire
Emissions Database (GFED) Calculated based on satellite data model.
0.00
0.01
0.10
1.00
10.00
100.00
1000.00
1997 2000 2003 2006 2009 2012
Fire
Em
issi
ons (
TgC
yr-1
)
BangladeshBhutanCambodiaIndiaIndonesiaLaosMalaysiaMyanmarNepalPakistanPhilippinesSri LankaThailandVietnam
Giglio et al. (2013)
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Components of the Terrestrial Carbon Budget for SSEA (1997-2013)
-1500
-1000
-500
0
500
1000
1997 2000 2003 2006 2009 2012
Carb
on F
lux
(TgC
yr-1
)
Time (year)
NEP
NBPFossil Fuels
EFIRE
ELUC
*Positive values are the land sink of carbonCervarich et al. (ERL, 2016)
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Components of the Terrestrial Carbon Budget for SSEA (1997-2013)
-1500
-1000
-500
0
500
1000
1997 2000 2003 2006 2009 2012
Carb
on F
lux
(TgC
yr-1
)
Time (year)
NEP
NBPFossil Fuels
EFIRE
ELUC
Fossil Fuels
*Positive values are the land sink of carbon
Cervarich et al. (ERL, 2016)
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Mean Carbon Fluxes SSEAAverage for 2000-2013
-1000
-750
-500
-250
0
250
500
750
1000
NEP LUC FIRE NBP Fossils
TgC
yr-1
ELUC EFIRE
*Positive values are the land sink of carbon
Cervarich et al. (ERL, 2016)
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Country Specific Mean Carbon FluxesAverage for 2000-2013
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Major Issues• (1) Multi-model syntheses suggest large
uncertainties in the estimated CO2fluxes– Missing data to validate the carbon fluxes
inherent in these modeling approaches.
• (2) Overestimated the CO2 sink amount due to overestimation of the CO2fertilization effect– Missing N dynamics
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(3) Uncertainty in Land Use Change Data
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Maximum grid-level differencesusing Various Realizations of LCLUC (Average for the period 2001-2013)
Various Realizations: HYDE • SAGE (RF)• Houghton (HH)• Satellite data sets
Δ Crop
Δ Pasture
Δ Forest
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Impacts of Range of LUC Data sets on Land Use Emissions Estimates Based on
ISAM Model
-1.0
-0.8
-0.6
-0.4
-0.2
0.0
1980 1985 1990 1995 2000 2005 2010
Land
Use
Em
issio
n (G
tC/y
r)
Year
Maximum Minimum
Jain et al. (GCB, 2013)Meiyappan et al. 2015
Jain et al. (GCB, 2013)
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(2) C and N Dynamics
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C Dynamics, Plant Productivity and Disturbances
CO2 CO2 Fertilization CO2 ↓
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C Dynamics, Plant Productivity and Disturbances (ISAM-C)
CO2 CO2 Fertilization CO2 ↓Deforestation CO2 ↑Abonnement CO2 ↓Establishment CO2 ↓Growth CO2 ↓Competition CO2 ↑ ↓
↓ Net Sink ↑ Net Source
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C & N Dynamics, Plant Productivity and Disturbances (ISAM-NC)
CO2 & N Deposition
N Fertilizer Application
N impact N2O emissions and Leaching
N can act as a limiting nutrient and impact plant productivity
Secondary Forests
Primary Forests
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ISAM-C
*Positive values represent net C release to the atmosphere
• C stocks in forests are increasing in recent years due to reforestation, abandonment and management (wood harvest)
Jain et al. (GCB, 2013)Meiyappan et al. 2015
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ISAM-C ISAM-NC
*Positive values represent net C release to the atmosphere
• C stocks in forests are increasing in recent years due to reforestation, abandonment and management (wood harvest)
• In some regions accumulation of C is reduced where N is a limiting nutrient or enhanced if the additional N is deposited in the forest regrowing regions
Jain et al. (GCB, 2013)Meiyappan et al. 2015
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2000s N Deposition Effect on N2O Emissions and Leaching
Leaching (gC/m2)N2O Emissions (Kg N/ha)
Yang et. al. (2010, Biogeosciences)
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(3) Land Cover Change Data
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Application of Different Satellite Data Sets to Estimate LC
Distribution for Historical time
Remotely sensed forest fraction data for South EastAsia at 30 m resolution (2005) based Landset satellite(Courtesy: Dave Skole, MSU).
MODIS LCLU data resampled at 250 meter resolution for theyear 2005. The land classifications are based on University ofMaryland scheme (Courtesy: Matt Hansen and others, UM ) .
Remotely sensed LCLU data for India region at 56 mresolution (2004-2005) based on Indian satelliteIRS-P6 (AWiFS) (Courtesy: P.S. Roy, ISRO) .
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Application of Satellite Date to Estimate the LU Changes (India)
20051985 1995
Roy et al. (Remote Sensing, 2015)* Data available from NASA LCLUC Site
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(1) Validation of DGVMs
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Use of FLUXNET and Other Ground-Based
Data to Validate DGVMs
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Above and Below Ground Biomass Data
Total 1236 sample plots in NEPAL measured AG Biomass between 2013 -2015
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Application of MODIS and LANDSET Satellite Data to Calculate LAI at 30
meter Resolution
LAILAI
Peak LAI Averaged for the Winter Months (Dec., Jan., Feb)
Peak LAI Averaged for the Summer Months (Jun., Jul., Aug)
(Courtesy: Sangram Ganguly and Ramakrishna Nemani, NASA Ames).
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Thank You
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Application of Satellite Date to Estimate the LU Changes (Bangladesh)
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Forest1900 2010
Unit: % of grid cellUnit: % of grid cell
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ISAM Land-Surface Model -Conceptual Diagram
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Nitrogen Deposition - Fossil Fuel Burning
Galloway et al.
1900
2010
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Estimating the Impact of LCLUC on Carbon Stocks and Fluxes
• Uncertainty in Carbon Stocks and Fluxes could be due to – Uncertainty in LCLUC Data
– Uncertainty in process level understanding of parameterization of different biogeochemical (BGC) and biophysical (BGP) processes
LCLUC Data
Dynamic Vegetation
ModelCarbon Stocks
and Fluxes
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Estimates of Land Use Emissions for CO2
Calculated based on Various Dynamic Vegetation Models
Pongratz (2013, Nature)
ISAM – HYDE (With N Dynamics)
ISAM – HYDE (Without N Dynamics)
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ISAM Estimated Land use Emissions based on three different data sets
(GtC/yr)
-1.0
-0.8
-0.6
-0.4
-0.2
0.0
0.2
1980 1985 1990 1995 2000 2005 2010
Land
use
Em
issio
ns (G
tC/Y
r)
Year
ISAM-HYDE ISAM-RF
ISAM-HH Mean
Negative values represent net C release to the atmosphereJain et al. (GCB, 2013)
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Estimates of Forests Unit % of Grid Cell
Hurtt et al. (2009) MODIS
Meiyappan and Jain (2012)
Data sets do not account of changes in land cover, which are resulting from both indirect anthropogenic and natural causes.
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Ramankutty et al.
Over the decadal and longer time scales different pathways of carbon dynamics after
deforestation
Land Use Change Data is Available at Decadal or Longer Time Scale
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Land Use Emissions Estimated Based on 9 DGVMs (GtC/yr)
-1.0
-0.8
-0.6
-0.4
-0.2
0.0
0.2
0.4
1970 1980 1990 2000 2010
Land
Use
Em
issio
ns (G
tC/y
r)
Year
ISAMCLMLPJLPJGLPXVEGASJULESVISITORCHIDEEAverage
Negative values represent net C release to the atmosphere and positive values net C storage in terrestrial biosphere
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Overall Uncertainty
-1.0
-0.8
-0.6
-0.4
-0.2
0.0
1980 1985 1990 1995 2000 2005 2010
Land
Use
Em
issio
n (G
tC/y
r)
Year
Maximum Minimum
-1.0-0.8-0.6-0.4-0.20.00.20.4
1980 1985 1990 1995 2000 2005 2010 2015Land
use
Em
issio
n (G
tC/Y
r)
Year
Maximum Minimum
Uncertainty range for recent decade-0.43 – (-0.24) GtC/yr
Uncertainty range for recent decade-0.65 – 0.07 GtC/yr
Range based on 3 data sets
Range based on 9 DGVMs results