Carbon & Water Exchange of an Oak-Grass Savanna Ecosystem Dennis Baldocchi Biometeorology Lab, ESPM University of California, Berkeley Oak-Grass Savanna: A Two Layer System Winter: Trees deciduous; grass green Spring: Trees green;grass green Summer: Trees green; grass dead Oak-Savanna Model System for Studying Ecosystem Ecology • Structure/Function – Oak and grasses provide contrasting life forms, woody/herbaceous, perennial/annual – The Canopy is open and heterogeneous, giving us a opportunity to test the applicability of ecosystem and biogeophysical models, mostly developed for ideal and closed canopies • Environmental Biology – The Mediterranean climate provides distinct wet/ cool and dry/hot seasons to examine the ecosystem response (photosynthesis, transpiration, respiration, stomatal conductance) to a spectrum of soil moisture and temperature conditions • Global Change – The Mediterranean climate experiences great extremes in inter-annual variability in rainfall; we experience a wider range in precipitation over a few years than long-term predicted changes. Tonzi Ranch Flux Tower IKONOS: Savanna & Fetch Vaira Ranch IKONOS:Grassland Canopy Structure: Tonzi Ranch – – – – Blue oak (Quercus douglasii) LAI=0.90 Height 7.1 +/- 3.05 m Diameter at breast height 26.6 +/- 0.11 cm – Understory: annual C3 grasses • Brachypodium distachyon, Hypochaeris glabra, Bromus madritensis Canopy Structure: Laser Altimeter Data Experimental Methods • Eddy Covariance – above the stand (20 m tower) – below the stand (2 m tower) • • • • Micrometeorology Sap flow (heat pulse) Soil respiration chambers Leaf Physiology (A-Ci curves) Eddy Covariance F w' c' Fluctuation Mean Ecosystem Ecology ‘Ecosystem Breathing’ Vaira Ranch, 2007 15 10 0 -2 -1 NEE [ mol m s ] 5 -5 -10 -15 -20 -25 50 100 150 200 250 300 250 300 350 DOY Tonzi Ranch, 2007 20 15 10 -2 -1 NEE [ mol m s ] 5 0 -5 -10 -15 -20 -25 -30 50 100 150 200 DOY 350 Oak Woodlands are Carbon Sinks, -92 +/- 43 gC m-2 y-1 Annual Grasslands are Carbon Neutral, 30 +/- 116 gC m-2 y-1 Ione, CA 300 oak savanna annual grassland -2 -1 NEE (gC m y ) 200 100 0 -100 -200 00-01 01-02 02-03 03-04 04-05 05-06 06-07 07-08 Hydrological Year Oak Woodlands are Risk Adverse, they Experience less inter-annual variation in NEE than Grasslands Carbon Fluxes Scale with Spring Rainfall Open Grassland Savanna Annual Flux (gC m-2) 1200 1000 800 GPP Reco NEE 600 400 200 0 -200 0 50 100 150 200 250 300 0 PPT3-6 (mm) Ma et al, 2007 AgForMet 50 100 150 200 250 300 PPT3-6 (mm) Net Primary Productivity John Battle's biometric NPP = 235 gC m-2 y-1. NPP = GPPtree - Ra_tree - Rh = 299 gC m-2 y-1 NPP=NEP+Rh=97+186=283 gC m-2 y-1. Interannual Variability in NEE 400 300 200 Interannual Variability in GPP and Reco scale with one another 0 -100 -200 -300 -400 -400 -300 -200 -100 0 100 200 300 400 d GPP/dt California Savanna and Annual Grassland 600 400 dReco/dt d Reco/dt 100 Trees Annual Grassland Woodland understory Oak-grass savanna 200 0 b[0] 28.21 b[1] 0.605 r ² 0.878 -200 -400 -600 -400 -200 0 200 dGPP/dt 400 600 800 ESPM 2, The Biosphere PhotoDegradation Can Be a Important Pathway for Carbon Loss in Semi-Arid Rangelands (~20-30 gC m-2 season-1) 2007 5 soil CO2 flux-gradient eddy covariance 4.5 4 2 FCO mole m s -2 -1 3.5 3 2.5 2 1.5 1 0.5 0 -0.5 200 400 600 Rglobal W m-2 800 1000 Sustained and Elevated Respiration after Fall Rain Vaira 2008 9 8 -2 -1 NEE [ mol m s ] 7 6 5 4 3 2 1 0 -1 274 276 278 280 282 DOY 284 286 288 Impacts of Photosynthesis and rain pulse on ecosystem respiration of the Oak Woodland 6 understory open grassland Fc (mol m-2 s-1) 5 4 3 2 1 0 150 200 250 Day Baldocchi et al, JGR, Biogeosciences, 2006 300 350 Respiration and Photosynthesis Tonzi Under trees Tonzi Open areas 0.50 1.7 14:50h 0.45 12:50h Under trees DOY 211 1.6 12h 0.40 1.5 0.35 16h 10h 1.4 0.30 20h 1.3 0.25 Fo=0.037e0.0525T, Q10=1.69, R2=0.95 6h 0.20 6h 1.2 0.15 30 35 40 45 50 24h Fu=0.337e0.0479T, Q10=1.61, R2=0.80 1.1 25 o Soil tempreture ( C) Tang, Baldocchi, Xu, Global Change Biology, 2005 30 35 o Soil temperature ( C) Controls on Ecosystem Respiration of the Grassland: Soil Moisture, Phenology (reproduction), Temperature and Rain Pulses 2.0 Fast growth period data Reco/Rref 1.5 Rain pulse 1.0 0.5 0.0 0.0 0.1 0.2 0.3 Soil volumetric water content (m3 m-3) Xu + Baldocchi, AgForMet 2004 0.4 Remote Sensing of Canopy Structure and NPP 5 5 0 0 -5 -5 -10 -10 -15 -15 -20 -20 (a) DOY025-040, LAI=1.0 (b) DOY071-080, LAI=1.8 5 5 0 0 -5 -5 -10 -10 -15 -15 (d) DOY130-140 end of senesence -20 (c) DOY096-105, LAI=2.4 -20 -25 -25 0 500 1000 1500 2000 0 Qp (mol m-2s-1) Xu + Baldocchi, AgForMet 2004 500 1000 1500 2000 FC (mol m-2s-1) FC (mol m-2s-1) Grassland CO2 flux vs Sunlight at different LAI Refining Spectral Vegetation Indices for Remote Sensing of Fluxes from Space Annual Grassland, 2004-2005 1.0 Reflectance 0.8 Oct 13, 2004 Oct 27, 2004 Nov 11, 2004 Jan 5, 2005 Feb 2, 2005 Apr 1, 2005 Mar 9, 2005 May 11, 2005 Dec 29, 2005 0.6 0.4 0.2 0.0 400 500 600 700 800 900 1000 Wavelength (nm) Ryu, Ma, Falk, Sonnentag, Baldocchi, submitted Frontiers of Ecology ESPM 111 Ecosystem Ecology Remote Sensing and Ecosystem Metabolism Upscale GPP and NEE to the Biome Scale area-averaged fluxes of NEE and GPP were -150 and 932 gC m-2 y-1 net and gross carbon fluxes equal -8.6 and 53.8 TgC y-1 Jingfeng Xiao and D Baldocchi Conclusions • Oak Woodlands are Carbon Sinks, Grasslands are Carbon Neutral • Year to year variability in Carbon Uptake is due to length of wet season. – Oaks are risk adverse and experience less inter-annual variability in NEE than grasslands • Photosynthesis and Respiration are tightly linked – Oaks need high N levels to attain sufficient rates of carbon assimilation for the short growing season • Savanna woodlands need about 80 mm more water to function than nearby grasslands – Trees tap ground-water to sustain themselves during the summer • Oaks are darker and warmer than grasslands Biometeorology Team Funding: US DOE/TCP; WESTGEC; Kearney; Ca Ag Expt Station Annual Precipitation ~500 - 700 mm/y Mean Annual Temperature ~ 14-16 C Climate Trends: Pardee, CA Temperature Increased by about 1.25 C over 50 Years; Precipitation Trend is Flat, but with High Inter-annual Variation 1200 18.0 1000 Precipitation (mm/year) Mean temperature (oC) 17.5 17.0 16.5 16.0 15.5 600 400 200 15.0 14.5 1940 800 1950 1960 1970 1980 1990 2000 2010 0 1940 1950 1960 1970 1980 1990 2000 2010