Variations of dissolved greenhouse gases (CO2, CH4, N2O) in the Congo River network overwhelmingly driven by fluvial
wetland connectivity Alberto V. Borges
Lab presentation
• Measurements of CO2, CH4, N2O in aquatic enviroments
• Personal emphasis on African lakes and rivers (since 2007)
Natural wetlands (217) Freshwaters (40) Geological-land (36) Wild animals (15) Termites (11) Oceans (18)
Natural sources
Cattle (101)Land fills & waste (63) Rice (36)
Fossil fuels (96)
Biomass & biofuel burning (35)
Anthropogenic sources
Tropospheric OH- (528) Soils (28) Stratospheric Cl (25) Stratospheric loss (51)Sinks
Sources and sinks of CH4 in Tg CH4 yr-1
Kirschke et al. (2013) Nature Geoscience, 6, 813-823
Natural wetlands (217) Freshwaters (40) Geological-land (36) Wild animals (15) Termites (11) Oceans (18) Cattle (101)
Land fills & waste (63) Rice (36)
Fossil fuels (96)
Biomass & biofuel burning (35) Tropospheric OH- (528)
Tropospheric OH- (28)
Stratospheric Cl (25) Stratospheric loss (51)
Sources and sinks of CH4 in Tg CH4 yr-1
Kirschke et al. (2013) Nature Geoscience, 6, 813-823
Natural wetlands (217) Freshwaters (40) Geological-land (36) Wild animals (15) Termites (11) Oceans (18) Cattle (101)
Land fills & waste (63) Rice (36)
Fossil fuels (96)
Biomass & biofuel burning (35) Tropospheric OH- (528)
Tropospheric OH- (28)
Stratospheric Cl (25) Stratospheric loss (51)
Sources and sinks of CH4 in Tg CH4 yr-1
Kirschke et al. (2013) Nature Geoscience, 6, 813-823
100 Lakes 30 Rivers Introduction
Introduction www.globalcarbonproject.org/ 9
9.1±0.5 PgC y
-1+
0.9±0.7 PgC y
-12.6±1.0 PgC y
-126%
Calculated as the residual of all other flux components5.0±0.2 PgC y
-150%
24%
2.4±0.5 PgC y
-1Average of 5 models
Global anthropogenic CO2 fluxes in 2010 (PgC y-1 = 1015 gC y-1)
Introduction
River CO2 global emission
Introduction
River CO2 global emission
1.8 PgC yr-1 (Raymond et al. 2013)
Introduction
Introduction R a y m o n d e t a l. ( 2 0 1 3 ) L a u e rw a ld e t a l. ( 2 0 1 5 ) 5 data !
Tropical Rivers:
-
Highest CO2 emissions-
Lowest data coverage-
(Lowest confidence in CO2 data quality) IntroductionCongo
Congo river basin
Congo
Congo river basin
Metamorphic Courtesy of J. Hartmann Siliciclastic and unconsolidated sed. Congo
Congo Wetland GLC 2000 Humid Forest Savannah Savannah
Wetland
= flooded forest
(Tributary)
Wetland
= floating macrophytes
(Tributary)
Wetland
= floating macrophytes
(Congo mainstem)
Vossia cuspidata
« Hippo grass »
Eichhornia crassipes
« water hyacinth »
Salvinia auriculata
Azolla pinnata
CongoKisangani Kinshasa 1700 km Congo 375 m 280 m
Cruises & Methods
164 stations 29 variables
> 23,000 continuous measurements pCO2, cond, temp, pH, O2, TSM, cDOM
Spatial variations of CO2 Results
Results 0 20 40 60 80 100 Conductivity (µS cm-1) High W (Dec. 2013) Falling W (June 2014) 3 4 5 6 7 8 15 16 17 18 19 20 21 22 23 24 25
← Dowstream Longitude (°E) Upstream →
pH
Results 0 5000 10000 15000 20000
pCO2 (ppm) High W (Dec. 2013) Falling W (June 2014) 0 20 40 60 80 100 120 15 16 17 18 19 20 21 22 23 24 25
← Dowstream Longitude (°E) Upstream →
%O2 (%)
0 2000 4000 6000 8000 10000 12000 14000 16000 18000 0 200 400 600 800 1000 1200 1400 1600
← Downstream Distance from Kinshasa (km) Upstream → pCO2(ppm) Mainstem High W Tributaries High W Mainstem Falling W Tributaries Falling W Results « Cuvette Centrale » (Wetland) Savannah
0 1000 2000 3000 4000 5000 6000 7000 8000 9000 10000 0 200 400 600 800 1000 1200 1400 1600
← Downstream Distance from Kinshasa (km) Upstream → CH4 (nmol L-1) Mainstem High W Tributaries High W Mainstem Falling W Tributaries Falling W Results « Cuvette Centrale » (Wetland) Savannah
Results 0 20 40 60 80 100 120 0 5,000 10,000 15,000 20,000 25,000 %O2 (%)
Metabolism versus CO2 emissions Results
Results Net heterotrophic R >> P CO2 emission >> R Lateral CO2 inputs >> in-stream R
Results
CO2 and CH4 in rivers & streams of the Congo seem to be mainly related to wetland inputs
Based on:
- Spatial patterns (in/out of the Cuvette Centrale)
- Metabolic measurements
Results
CO2 emission from Congo rivers-streams
FCO2 = k H ΔpCO2
FCO2 = air-water CO2 flux
H = Henry’s constant = f(temperature)
ΔpCO2 = air-water gradient of pCO2 (measured)
k = gas transfer velocity
Results
CO2 emission from Congo rivers-streams Stream surface area = length x width
length = Hydrosheds
CO2 emission from rivers 130 times higher than C export of terrestrial NEE to rivers ? What ?? Results
CO2 emission from Congo rivers-streams = 251 TgC yr-1
Net ecosystem exchange (NEE) Congo forests + savannahs = 77 TgC yr-1
CO2 emission from rivers 3 times higher than terrestrial NEE ??? Export of C from soils to rivers
= 2-3% of NEE
Results
CO2 emission from Congo rivers-streams = 251 TgC yr-1
Mostly sustained by C leaked from wetlands ?
Export C from flooded forest in Amazon (Abril et al.) +
Surface of flooded forest in Congo C leaked from wetlands = 400 TgC yr-1
Congo & other African rivers Results
Results 0 1000 2000 3000 4000 5000 C H4 ( n m o l L -1 ) Nyong Zambezi Tana AGS Rianila Betsiboka Congo r2=0.94 p C O2 ( p p m ) 0 5 10 15 20 25 40 60 80 100 120
Wetland fraction of catchment (%)
% O2 ( % ) r2=0.96
Congo versus Amazon Results
Results Amazon Congo Catchment area (km2) 6,025,735 3,705,222 Slope (°) 1.4 0.6 Discharge (km3 yr-1) 5,444 1,270 Specific discharge (L s-1 km-2) 29 11 Precipitation (mm) 2,147 1,527 Air temperature (°C) 24.6 23.7
River-stream surface area (km2) 74,904 26,517
Wetland surface area (%) 14 10
Above ground biomass (Mg km-2) 909 748
Land cover
Dense Forest (%) 83 49
Mosaic Forest (%) 4 18
Woodland and shrubland (%) 4 27
Grassland (%) 5 3 Cropland/Bare soil (%) 4 2 > > > > > <
Results p C O 2 ( p p m ) C H 4 ( n m o l L -1 ) pCO2 is ± similar CH4 is 3-4 times higher in Congo
Results Q ( m 3 s -1 ) Q ( m 3 s -1 )
Qmax:Qmin = 2.85 Qmax:Qmin = 1.99
Hmax - Hmin = 10-12 m Hmax - Hmin = 3-4 m Wetlands only in floodplains
Not in river channels
Wetlands in river channels
Introduction R a y m o n d e t a l. ( 2 0 1 3 ) L a u e rw a ld e t a l. ( 2 0 1 5 ) pCO2 = 277,076 ppm ?
Introduction
Raymond et al. (2013) & Lauerwald et al. (2015) used pCO2 computed from pH and total alkalinity