monitoramentoda concentração de gases de efeitoestufa … · monitoramentoda concentração de...
TRANSCRIPT
Monitoramento da concentraçãode gases de efeito estufa na atmosfera
Paulo ArtaxoInstituto de Física da USP
Os impactos econômicos das mudanças climáticasFEA/IEA‐USP 17 Março 2010
Largest variability & uncertainties are in carbon fluxes from land use change and 'residual terrestrial carbon sink'.
How Humans Have Changed the Carbon Cycle
The Conceptual Framework
Disturbances EcosystemPhysiology
AtmosphericCarbon
TerrestrialCarbon
Ocean/CoastalCarbon
BiologicalPump
ClimateChange
andVariabil.Solubility
Pump
Unperturbed C Cycle
The Conceptual Framework
Disturbances EcosystemPhysiology
AtmosphericCarbon
TerrestrialCarbon
Ocean/CoastalCarbon
BiologicalPump
ClimateChange
andVariabil.Solubility
Pump
Unperturbed C CyclePerturbed C Cycle
Land UseSystems
IndustryTransportSystems
Ocean-useSystems
FossilCarbon
The Conceptual Framework
Disturbances EcosystemPhysiology
AtmosphericCarbon
TerrestrialCarbon
Ocean/CoastalCarbon
BiologicalPump
ClimateChange
andVariabil.Solubility
Pump
Unperturbed C CyclePerturbed C Cycle
Land UseSystems
IndustryTransportSystems
Ocean-useSystems
FossilCarbon
Perceptionsof humanwelfare
Changes ininstitutions& technol.
Human Response
Abordagem integrada de observaçõesdo ciclo do carbono
µmdm
ha
10 km
1000 km
Verificação de processos
Previsão integradora
Carbon Balance in Amazonia
1- Richey et al., 2002; 2- Melack et al., 2004; 3 -Rasera et al., unpublish data; 4- Johnson et al., 2006;5- Telles et al.,2003; 6- Ometto et al., 2005; 7- Houghton et al., 2000; 8- Morison et al.,2000; 9- Putz & Junk, 1997; 10-Wissmar et al., 1981
Manaus-K34
Fazenda NS Aparecida
Reserva Jarú
Pantanal
Flona-Santarém
Caxiuana
Brasilia-Cerrado
Torres do experimento LBA: Medidas de fluxos de carbono em larga escala
The “Keeling Curve”
Concentração de CO2, metano e óxido nitroso nos últimos 650.000 anos.A linha preta é a temperatura na mesma escala temporal.
NOAA Greenhouse gas monitoring stations
WMO Greenhouse gas monitoring stations
Redes de monitoramento global da concentração de gases de efeito estufa
Dados meteorológicos: > 10.000 estaçõesDados de concentração de gases: <100
NOAA Greenhouse gas monitoring stations
CO2 CH4
WMO Greenhouse gas monitoring stations
WMO: medidas de N20, SF6 e outros gases
Relative contribution of major greenhouse gases to the overall change in radiative forcing between 1979 and 1984 (a) and from 2003 to 2008 (b). The importance of CO2 has increased substantially.
CO2 emMauna Loa de 1958‐2010
(WMO Greenhouse gas bulletin 2010)
Relative contribution of major greenhouse gases to the overall change in radiative forcing between 1979 and 1984
Medidas de CO2 por “Wave Length Scanning Cavity Ring Down Spectroscopy “
Very long effective path length (~14 km)
Medidas de CO2 por espectroscopia de infravermelho não dispersiva
Medidas de Fluxos de CO2 por Eddy Correlation20 m above canopy height
11 m above ground (stem space)
gas analyser ; data acquisition
vacuumpump
Opa
que
Teflo
n tu
be (6
5m)
capillaryinlet cone+ filter
ultrasonicanemometer53 m
data transfer line
11m
1m
mean canopyheight ~ 33 m
1m above forest floor
NEE measurements
1)Eddy covariance: CO2, CH4, H2O, H
2) Automated chambers, connected to GC
''cwFc ≈
Eddy 1 Eddy 2c1w1
c2w2
Sonic anemometer
Santarém km83 H2O, CO2 analyzer
Radiometers PAR,net
Time of day0 6 12 18 24
NE
E, μ m
ol C
O2
m-2
s-1
-20
-10
0
10
Time of day0 6 12 18 24
NE
E, μ m
ol C
O2
m-2
s-1
-20
-10
0
10
Manaus K34JaruCaxiuanaFazenda NS
Mean Diurnal trend of CO2 fluxes at four LBA sites
Dry
Wet
Dry seasons:
•Forest peak uptake similar, nights different.•Pasture lower uptake!
Wet seasons:
•Forests and pasture very similar.
Dependency of soil temperature
Dependency of soil moisture
Forest in RondoniaSoil respiration with automatic chambers
AMACAYACU
NOEL KEMPFFTAMBOPATA
YASUNI
IQUITOSMANAUS/BDFF
CAXIUANA
BRAGANCA
TAPAJOS
JATUN SACHA
RAINFOR (Rede Amazonica de Inventários Florestais)
SAN CARLOS
BOLFOR
JARU
ACRE
NW TRANSECT
SOUTH TRANSECT
PEIXE-BOI
JARI
Malhi et al 2002, Journal of Vegetation Science, 13, 429-450
The Use of Biometric Techniques to Estimate the Carbon Balance and Carbon Dynamics of Amazonian Forests
Above-Ground Wood Production (t C ha-1 year-1)
0
1
2
3
4
5
6
JEN
-06
CY
B-0
1JE
N-0
9H
CC
-21
MN
U-0
4C
UZ-
04JA
S-0
3Y
AN
-01
CU
Z-03
PA
K-0
3TA
M-0
4B
CI-5
0M
NU
-03
JAS
-02
LSL-
02S
UC
-02
ALP
-22
CE
L-15
ELD
-03
TAM
-05
MN
U-0
6TA
M-0
7LI
N-0
1N
OR
-01
MN
U-0
1R
IO-0
1P
AK
-02
CR
P-0
1TA
P-0
2B
NT-
07TI
P-0
3B
NT-
05TA
M-0
2TA
P-0
1B
NT-
04TA
P-0
3JE
N-1
0S
CR
-02
LSL-
01B
CI-0
1B
DF-
01B
DF-
10B
DF-
14B
DF-
09C
AX
-02
BD
F-13
BD
F-12
SC
R-0
1S
CR
-03
Site
Gro
wth
Venezuela
Brazil
N PeruS Peru
Bolivia
Guyanas
Ecuador
RAINFOR - Above - groundwood production for 97 sites
Malhi et al, in prep
Medidas de gases de efeito estufa em larga escala
LBA BARCA –Balanço regional de Carbono na Amazônia
Experimento LBA BARCA – Balanço Regional de Carbono na Amazonia
Medidas contínuas de metano e CO2 em Manaus
CH4
GEOS‐CHEMCO2 surface fluxes
Ocean fluxes (1013 cm-2s-1)
1x1013=0.16 μmole m-2 s-1
Land fluxes (1014 cm-2s-1)
Medidascombinadas com modelos globais
Modelamento global de fontes e sorvedouros de carbono“Inverse Modeling”
12 "GCM"-type models calculate CO2 annual mean surface fluxes with given emissions, then invert to obtain optimal surface fluxes in 22 regions
North American Carbon Program ‐ Continental scaleMonitoring CO2 and tracers across North America
• Estimate carbon balance over large areas• Quantify variations in fluxes in response to climate variation• Optimized system for atmospheric flask and in-situ sampling• Improve top down approaches to better scale the fluxes to the regional level
0
5000
10000
15000
20000
25000
30000
35000
77/8
8*
88/8
9
89/9
0
90/9
1
91/9
2
92/9
4
94/9
5
95/9
6
96/9
7
97/9
8
98/9
9
99/0
0
00/0
1
01/0
2
02/0
3
03/0
4
04/0
5
05/0
6
06/0
7
07/0
8
08/0
9
Des
flore
stat
ion
(km
² per
yea
r)
Deforestation in Amazonia 1977-2009 in km² per year
* annual average per decade Data from INPE, 2009
7.000 Km²in 2009
What public policies are needed to sustain this reduction?
As of 2008, 17% of Amazonia was deforested. By 2050, if current trends continue, about 40% of the forest could be cleared.
Tropical forests are resilient to seasonal droughts, but after a few years, carbon losses are very significant.
Rain Exclusion Experiments in LBA
Drought of 2005: unxpected effects in the Amazonian Ecosystem
precipitation anomaly vegetation “greenness” anomaly
Annual aboveground biomass change during the 2005 interval.
Effect of the 2005 drought in the
carbon balance in Amazonia
Phillips et al. 2009 Science
Drought sensitivity of the Amazon Rainforest
Saleska et al., (2007) Amazon forests green‐up during 2005 drought. Science, 318: 612.Samanta et al. (2010) Amazon forests did not green‐up during the 2005 drought. GeophysRes. Lett. 37, L05401.
Somente com medidas cuidadosas e de longo prazo respondemos a questões cruciais:
Amazonian Tall Tower ObservatoryATTO – 320 meters
Long term broad objectives
observatory
Medidas de CO2 do espaço
Parte do A-Train da NASA, constelação de 8 satélites
WMO – GEOSS ‐ Global Earth Observation System of Systems
Obrigado pela atenção !!!