Ocean 582/529 Fall ‘03 I.Review of overall Rivers cycle II. In depth analysis of components, to...

transcript

The Role of Rivers in the Global The Role of Rivers in the Global Carbon Cycle: Landscape-Hydrology-Carbon Cycle: Landscape-Hydrology-

Biogeochemistry ConnectionsBiogeochemistry Connections

Ocean 582/529 Fall ‘03

I. Review of overall Rivers cycle

II. In depth analysis of components, to ….

III. … derive functional models of a geographic-specific global view

VEGETATION

SOILS (+)

ATMOSPHERIC CO2

Active SOM,NP (1-2y)

Int. SOM,NP (20-40y)

Pass, SOM,NP (1000y)

Litter

COASTALOCEAN

SHELF SEDIMENTS

~.4 aw

DOC UV Ox?

.1 cw, ~.4aw

.1 cw,~.4aw

gigatons/ycw = conventional wisdomaw = alternate wisdomS&S = sensu Sarmiento & Sundquist(+) anthro. effect

RIVERS

GLOBAL RIVER C CYCLE

ESTUARIE

ANTHROPOGENICN,P, Toxics

(+:1.8+1.1)

(P Desorp)

PPT->Q

DAMSRIP

(1)CO2+H20+M(C,Si)O3->M+2HCO3(2) SOM->CO2

erosion, PPr

leaching

DIC (pCO2,HCO3)

POC (.5uM - 1mm)

DOC (%s < .5uM)

Q (N,P,Toxics)

.4 (+)

.2 cw .5aw(++)

.2 (~)

.1 cw, ~.4aw

COASTALOCEAN

THE RIVER CONTINUUM

102030

DOC (mg/l)

pCO2 (uM) O2 (uM)

DON (uM)

NO3 (uM) PO4 (uM)

DIC (uM)

DIC13 (permil)

FSS (mg/l) CSS (mg/l)

100150

50,000

100,000

150,000

200,000

250,000June 2

Oct 20

Time over a water year

Time (water year)

OBIDOS: “New Orleans”

Amazon

Orinoco

Yangsei

Brahmaputra

Yenisei

Mississippi

Ganges

Mekong

50,000

100,000

150,000

200,000

250,000Amazon

ZaireOrinoco

Yangsei

Brahmaputra Yenisei Lena

Mississippi

Ganges Mekong

195,000

40,00035,000

28,000

19,000 18,00016,300

15,80015,600

14,800

8Amazon

Orinoco Yangsei

Brahmaputra

Yenisei Lena Mississippi

Ganges Mekong

0.991.90

2.60 2.503.30

0.980.79

Discharge (m3/s)

Basin Area (Mkm2)

1,500Amazon

Huanghe

Brahmaputra Ganges

Yangsei

Irrawaddy

Magdalena Mississippi

Godavari Mekong

540 520 480

260220 210

170 160

Sediments (MT/y)

Top 10 Rivers

TOP 10, REST OF RIVERS

Discharge 1.3 M m3/s Sediment Transport: 31,000 MT/y

2456 78 13

23 456

Amazon (1) Zaire (2) Orinoco (3) Yangsei (4)Brahmaputra (5) Yenisei (6) Lena (7) Mississippi (8) Ganges (9) Mekong (10)

Amazon (1) Huanghe (2) Brahmaputra (3) Ganges (4) Yangsei (5) Irrawaddy (6) Magdalena (7) Mississippi (8) Godavari (9) Mekong (10)

Amazon

NAmENAmW NAmA

CAmAfrE

EurEAus

AsSE CAmSAmE Amazon

NAmANAmEEurENAmW

AfrWAfrEErsA

EurWAus

Discharge

Sediment Transport

1.3 M m3/s

31,000 MT/y

GEOGRAPHIC ZONES

SA SENA W

NA EGEA At

"Traditional": 200

Area-loading: 350

Calc. Yield: 800

POC Loading by Geographic Region

"Best Guess: ~500 ish"

Consequences for different assumptions in computation of POC yield by geographic zone, ranging from the conventional wisdom of .2 Gt/y , to an area-loading function (.35 Gt/y), and a calculated yield function (.8 Gt/y). ZonesInclude Oceania (Oce), East and Southeast Asia (AsE, AsSE), South America (North-east SA NE, western SA W, southeast SA SE), North America (West NA W, Atlantic NA ATL, East and Gulf NA EG), Europe & Artic (Atlantic EA At, Eur), Africa (West W, East Afr E) and Australia (Aust).

Jut Jur

JapPur

Neg Mad

Tap Xin

10,000

20,000

30,000

40,000

50,000

par = sum "parana"Tap, Xin approxTocantins not incl

AMAZON TRIBUTARIES

FLUVIAL SYSTEMS BOX MODEL

RIVERS

STREAMS

ATMOSPHERE

DAMS CoastalZone

FLOODPLAINS

RIPARIAN

Rivers

Streams

Atmosphere

DamsCoastal Zone

FloodplainsRiparian

PATHWAYS OF ATMOSPHERIC CO2 THROUGH FLUVIAL SYSTEMS

Richey, J.E. (in press). Ch. 15. Field et al (eds) A SCOPE/GCP Rapid Assessment Project. Island Press.

Conventional Wisdom

0.6 River← Atm

POC → sea

DOC → sea

DIC → sea

Δ Net Atm

Cont Sed

Outgassing

-2.0 -1.0 0.0 1.0 2.0 Gt C/y

CW + Continent Sediment

↓ ↓

CW+CS+(POC,DOC)

CW+CS+OC+OG

Transient

STRUCTURE OF LAND-FLUVIAL SYSTEMS

River Routing and Sediment Transport NetworkGas Exchange

FloodplainErosion

Deposition

Estuary/Delta

Reservoirs Free-Flowing

Land Surface Processes (Grid)

Surface Water

River Routing

mineral soil

Water and dissolved

Fresh OM Particulate

Riparian/FloodplainUpland

SCALINGAmazon Floodplain from Aircraft: ‘eye’

Amazon Floodplain from Landsat TM: 30 m

Xingu (Amazon trib) from AVHRR: 1 km

Taiwan: AVHRR to Global 1-degree (~100 km)

“HYDROLOGY” IN A REGIONAL NPP MODEL (e.g., CASA)

Water Stress Scalar Formulation:We(t) = 0.5 [1 + ET(t) / PET(t)] From hydrology model

NPP(t) = emax * Te (t) * We (t) * FPAR (t) * PAR(t)

FPARGlobal CASAcalibration Sn Albedo

Surf. Temperature Sn, Temp., Rain,Ln, Soils, Roots

INTERANNUAL NPP MODEL (CASA Potter et al)

Tg C 8-km-1 mo-1

-1.0 -0.5 0 0.5 1.0

INIT 82 83 84 85 86 87 88 89 90

0 25 50 75 100

-1000000-500000 0 500000 1000000

1983 1985 1987 1990

g C m-2 yr-1

-500 -250 0 250 500

RIVERS & FLOODPLAINS (> 100 m in width)

JaruJIP-3

UrupáJIP-2

JIP-5Preto

Machadinho

Streams (< 100 m) STREAMS & RIPARIAN (< 100 m)

J F M A M J J A S O N D

T (>100m)

S (<100 m)MF

: 1.2 ± . 3 Mg C ha-1 y-1 (basin ~ .5 Gt y-1)

CO2 EVASION: FROM WATER → ATMOSPHERE

Low-ElevationHigh-Elevation

DIC - UDOC -FPOC -CPOC

14C: Downstream Translocation

Space & Time

Soil CO2

SoilDOC

Litter-fall

Macro-phytes

Plankton

Sources & Implicit Dynamics?

Central Amazon Basin (1.77 million km2)

Methane Emission CO2 Evasion Tg C y-1 Tg C y-1

7.6 + 2.3 210 + 60

Lowland Amazon Basin (5.19 million km2)Methane Emission 25 + 8 Tg C y-1

Greenhouse gas potential ~ 0.5 Pg C y-1

as CO2

CH4 and CO2 Emissions

IMPORTANCE OF EPISODIC EVENTS

ENSO-Orchestrated Sediment Accumulation on Bolivian Amazon floodplains (Aalto et al. Nature 2003) [& utility of SRTM]

NORTH AMERICA: “ambiguous, but provocative”

Increase in the export of alkalinity from North America’s largest river (Raymond & Cole, Science, 2003)

Long-term decline in carbon dioxide super-saturation in rivers across the contiguous United States. (Jones et al, Geophys Res Lett in press)

RECENT GBC Publications on Trace Gas Sources & Sinks in Peatlands, Tundra, Rice paddies, Savannas; as f(water table depth, flow regimes…)

Torben Christensen “….a good understanding of local controls … does not necessarily explain large scale gradients…..”

Progress, but not there yet…….

NAGA Version 2 (1-km)Physical Template, Dynamic Modeling, Drivers

BIOPHYSICAL DATA LAYERS

(REGIONAL) HYDROLOGY ←→BGC: Q= ΣR = P – ET + ΔSM

HYDROLOGY MODEL “FIELDS”

Soil Moisture→ Discharge→ Trace Gas Biogeochemistry

UNCERTAINTIES IN POC LOADING BY GEOGRAPHIC REGION

SA SENA W

NA EGEA At

"Traditional": 200

Area-loading: 350Calc. Yield: 800

"Best Guess: ~500 ish"

Average OC concentration of Fly-Strickland river samples ~ 3.75% (June ’03)

IMPORTANCE OF EPISODIC EVENTS

ENSO-Orchestrated Sediment Accumulation on Bolivian Amazon floodplains (Aalto et al. Nature 2003) [& utility of SRTM]

physical forcing via remote sensing

(solar radiation, FPAR, rainfall, temperature)

terrestrial NPP

and biomass turnover

via CASA ecosystem model

hydrology

via VIC model

soil biogeochemistry

via ROMBUS model

aquatic biogeochemistry

via ROMBUS model

geographical properties via GIS

(vegetation, soil, topography, river network, etc.)

DOC, DIC

evasion

heterotrophicrespiration

POCDIC

fixation

water flux

carbon flux

autotrophicrespiration

ROMBUS (River basin Organic Matter and Biogeochemistry Synthesis Model)

HMW DOC(1-30 kDa)

LMW DOC(<1 kDa)

Mineral-Associated OM(FPOM) (0.1 µm - 63 µm)

HMW FPOC(1-30 kDa)

LMW FPOC(<1 kDa)

Detrital Particulate Organic Matter (>2mm)

Production via Terrestrial Biosphere Model

Living Organic Carbon

CO2CO2, CH4

Black C (soot and charcoal)

DOM (>0.1 µm)

CPOM (63 um - 2 mm)DIC

VHMW DOC(>30 kDa)

VHMW FPOC(>30 kDa)

Structural C(insoluble)

Metabolic C(soluble)

LMW DON(200-1000Da)

VLMW DON(<200Da)

LMW FPON(200-1000Da)

VLMW FPON(<200Da)

Detrital Particulate Organic Matter (>2 mm)

Structural N(insoluble)

Metabolic N(soluble)

Production via Terrestrial Biosphere Model

Living Organic Nitrogen

Sorbed NH4

CPOM (63 um - 2 mm)

N2, NOx

Mineral-Associated OM (FPOM)

(0.1 µm - 63 µm)VHMW DON

(>30 kDa)VHMW FPON

(>30 kDa)

DOM (>0.1 µm)

Carbon Nitrogen

Biotic fluxes

Abiotic fluxes

NESTED AND COUPLED MODELS; e.g.

FLOODS OF THE MEKONG (2000)

Ocean 582/529 Fall ‘03 I.Review of overall Rivers cycle II. In depth analysis of components, to...

Documents