FLUXNET: Measuring CO 2 and Water Vapor Fluxes Across a Global Network

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FLUXNET: Measuring CO 2 and Water Vapor Fluxes Across a Global Network. Dennis Baldocchi ESPM/Ecosystem Science Div. University of California, Berkeley. IndoFlux, Chennai, India, July 2006. FLUXNET: From Sea to Shining Sea 379 Sites, circa 2006. - PowerPoint PPT Presentation


  • FLUXNET: Measuring CO2 and Water Vapor Fluxes Across a Global NetworkDennis BaldocchiESPM/Ecosystem Science Div.University of California, BerkeleyIndoFlux, Chennai, India, July 2006

  • FLUXNET: From Sea to Shining Sea379 Sites, circa 2006

  • Global distribution of Flux Towers with Respect to Climate

  • Evolution of FLUXNETMeasure Annual Cycle of NEEMicromet issues of Detrending, Transfer Functions, Flux Sampling and Measurements, Gap-filling, Error AssessmentMeasure and Interpret Intra-annual Variation of NEEFlux partitioning (GPP & Reco); assessment of metadata,e.g. Vcmax, soil respiration, LAI, biomass inventories. Measure and Interpret Inter-annual variations of NEEMeasure NEE over multiple Land-Use Classescrops, grasslands, deciduous and evergreen broadleaf and conifer forestsDisturbance: logging, biodiversity and fireManipulative StudiesNitrogen and H2O additionsMeasure NEE over Representative AreasScaling Flux Information of Footprint to MODIS pixel

  • Successes

    Mountains of data from a spectrum of canopy roughness conditions, functional types and climate spaces have been collectedA Model for Data SharingFLUXNET Web Site, a venue for distributing Primary, Value-added and Meta-Data productsValue-Added Products have been producedDevelopment of Gap-Filling TechniquesProduction of Gap-Filled Daily and Annual SumsData for Validating and Improving SVAT models used for weather, climate, biogeochemistry and ecosystem dynamicsCollaboration & Synthesis through Workshops and Hosting VisitorsBuilding a Collaborative, Cooperative, Multi-Disciplinary & International Community of ResearchersCharacterizing Annual C FluxesEnvironmental Controls on NEETraining New and Next Generation of Scientists, Postdocs, Students

  • Failures/Un-resolved IssuesNot Measuring Night-time Fluxes WellNot Measuring Fluxes over Complex terrain and during Advection WellImPerfect U* correction New Gu AlgorithmImPerfect Flux PartitioningWorks Better on Longer Time ScalesImPerfect Energy Balance ClosureCould be red-herringNeed Better Outreach and TrainingNeeds Expansion into other RegionsIndiaAfrica

  • Visions with a Flux Measurement NetworkProcessesCanopy-Scale Response Functions Emergent ProcessesFlux Partitioning, NEP=GPP-RecoAcclimationTimeDaily/Seasonal DynamicsPulses, Lags, SwitchesIntra- + Interannual VariabilityStand Age/Disturbance SpaceClimate/Structure/FunctionCoherence/GradientsUpscaling with Remote SensingNew Directions

  • Probability Statistics of NEE

  • Light and Photosynthesis:Emergent Processes at Leaf and Canopy Scales

  • Volcanoes, Aerosols + NEE

  • CO2 Flux and Diffuse RadiationNiyogi et al., GRL 2004

  • Photosynthesis-RespirationProcessed by Falge

  • NEE: Acclimation with TemperatureAnalysis of E. Falge

  • Linking Water and Carbon:Potential to assess Gc with Remote SensingXu + DDB

  • Temporal Dynamics of C FluxesHourDayMonthSeasonYearMultiple YearsPulsesLagsSwitches

  • Complicating Dynamical FactorsSwitches/PulsesRainPhenology/Length of SeasonFrost/FreezingEmergent ProcessesClouds & LUEAcclimationLags Stand Age/Disturbance

  • Decadal Plus Time Series of NEE:Flux version of the Keelings Mauna Loa GraphData of Wofsy, Munger, Goulden et al.

  • DRe vs DGPP

  • Knohl et al Max Planck, JenaLag Effects Due to Drought/Heat Stress

  • Data of Pilegaard et al.Soil Temperature: An Objective Indicator of Phenology??

  • Data of: ddb, Wofsy, Pilegaard, Curtis, Black, Fuentes, Valentini, Knohl, Yamamoto. Granier, SchmidBaldocchi et al. Int J. Biomet, in pressSoil Temperature: An Objective Measure of Phenology, part 2

  • Spatial Variations in C Fluxes

  • Spatial Gradients:NEE and Length of Growing Season

  • Tower vs Satellite NDVIFalk et al., to be submitted

  • Sims et al 2005 AgForMet

  • Heinsch et al. IEEE 2006

  • Heinsch et al. IEEE 2006Global MODIS Test

  • Limits to Landscape Classification by Functional TypeStand Age/DisturbanceBiodiversityFireLoggingInsects/PathogensManagement/PlantationsKyoto Forests

  • Effects of Stand Age:After LoggingLaw et al. 2003 Global Change Biology

  • Biodiversity and EvaporationBaldocchi, 2004: Data from Black, Schmid, Wofsy, Baldocchi, Fuentes

  • Value of Flux NetworksDocumenting Change in Ecosystem MetabolismNetwork acts as canary in the mineProduces Large and Long Data SetsReduced Sampling ErrorRobust Dataset for Model DevelopmentStudy Spectra of Time ScalesCapture Pulses and LagsStudy Gradient of Climates, Structure and FunctionField of Dreams: Build it and they will ComeBetter Integrated Research Studies

    Coherent response among sites, impact of length of growing season. Does not account for interannual variability at a site, due to snow cover, drought, cloudy vs clear summers etc.


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