impacts of leaf phenology and water table on interannual variability of carbon fluxes in subboreal...

Impacts of leaf phenology and water table on interannual variability of carbon fluxes in subboreal uplands and wetlands Implications for regional fluxes in the upper Midwest

USAAnkur R Desai, Benjamin N SulmanUniversity of Wisconsin-Madison

D. Scott MackayState University of New York-Buffalo

Ameriflux/ChEAS PIs

Ameriflux Meeting 2008

Motivation

• Interannual variation (IAV) in carbon fluxes from land to atmosphere is significant at most flux sites

• Key to understanding how climate affects ecosystems comes from modeling IAV

• IAV (years-decade) is currently poorly modeled, while hourly, seasonal, and even successional (century) are better

Predicting NEE (Ricciuto et al)

Climate Drivers of Carbon Flux

•Temperature•Precipitation•Radiation

•[CO2]

Climate Drivers of Carbon Flux

•Temperature -> Phenology

•Precipitation -> Drought•Radiation -> Light Quality

•[CO2] -> Acclimation

Interannual

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Interannual NEE at ChEAS

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Questions• What controls IAV of NEE in subboreal uplands?– Hypothesis: Phenology -> Growing season start, end, or length affects GPP

– Piao et al (2008) -> Autumn warming and Rh

• What controls IAV of NEE in subboreal wetlands?– Hypothesis: Phenology + Water table affects ER– Ise et al (2008) -> Decomposition and moisture

• What controls IAV of regional NEE in subboreal North America?

• Can a very simple model be constructed to explain IAV?– Can we make do a parameter opimization more attuned to IAV?

– Hypothesis: MCMC overfits to hourly data

Optimization





HOURLY

IAV

Phenology

• Five sites with 5-8 years of data– 1 regional (LEF), 1 wetland (LCR), 3 uplands (SYL, UMB, WCR)

– Assimilate 1st 4 years of data



Phenology Model• Twice daily model, annually resetting pools• Driven by PAR, Air and Soil T, VPD• LUE based GPP model f(PAR,T,VPD)• Three respiration pools f(Air T, Soil T, GPP)

• Model 1. NOLEAF– Constant leaf on and leaf off days

• Model 2. LEAF (Phenology)– Sigmoidal Threshold GDD (base 10) function for leaf on

– Sigmoidal Threshold Daily Mean Soil Temp function for leaf off

• 17 parameters, 3 are fixed– Output: NEE, ER, GPP, LAI

Hourly



HOURLY NOLEAF

IAV NOLEAF

HOURLY LEAF

IAV LEAF



Interannual



HOURLY NOLEAF

IAV NOLEAF

HOURLY LEAF

IAV LEAF



NEE-Leaf



GPP ER Leaf





Precipitation and Water Table

• Sulman et al (in prep) Biogeosciences - see Ameriflux poster



Shrub Wetland Flux Response



Three Wetlands



Regional NEE

• See NACP poster in Feb.Annual flux (NEE)

-250

-200

-150

-100

-50

0

1997 1998 1999 2000 2001 2002 2003 2004

Year

gC m-2 yr-1

Flux towers

FIA model

ABL Budget

Conclusions• Autumn soil temperature appears to be a major control on interannual variability in subboreal upper Midwest USA flux tower site annual NEE– Due mainly to effect of growing season length for GPP

– Only detectable using a modified MCMC cost function that penalizes for poor fit to cumulative annual NEE

• Additionally, growing season average water table strongly affects ER in wetlands– GPP effect in both uplands and wetlands -> related to precipitation deficits?

• Regional NEE is messy

• Thanks: DOE NICCR, DOE TCP, NASA CC, NOAA CPO, USDA/USFS NRS, NSF, UW Foundation, ChEAS

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