Meta-analysis of eddy covariance carbon fluxes data Dario Papale, Markus Reichstein, Riccardo Valentini Marc Aubinet, Christian Bernhofer, Alessandro Cescatti,

Slides:

Advertisements

Similar presentations

Why gap filling isn’t always easy Andrew Richardson University of New Hampshire Jena Gap Filling Workshop September 2006.

Advertisements

TEMPORAL VARIABILITY AND DRIVERS OF NET ECOSYSTEM PRODUCTION OF A TURKEY OAK (QUERCUS CERRIS L.) FOREST IN ITALY UNDER COPPICE MANAGEMENT Luca Belelli.

DGVM runs for Trendy/RECCAP S. Sitch, P. Friedlingstein, A. Ahlström, A. Arneth, G. Bonan, P. Canadell, F. Chevallier, P. Ciais, C. Huntingford, C. D.,

Responses of terrestrial ecosystems to drought

The impact of a declining water table on observed carbon fluxes at a northern temperate wetland Benjamin N. Sulman A nkur R. Desai * Department of Atmospheric.

Uncertainty in eddy covariance datasets Dario Papale, Markus Reichstein, Antje Moffat, Ankur Desai, many others..

Development of a mechanistic model of Hg in the terrestrial biosphere Nicole Smith-Downey Harvard University GEOS-Chem Users Meting April 12, 2007.

Management impacts on the C balance in agricultural ecosystems Jean-François Soussana 1 Martin Wattenbach 2, Pete Smith 2 1. INRA, Clermont-Ferrand, France.

The Carbon Cycle 3 I.Introduction: Changes to Global C Cycle (Ch. 15) II.C-cycle overview: pools & fluxes (Ch. 6) III. Controls on GPP (Ch. 5) IV.Controls.

Raw data Hz HH data submitted for synthesis Flux calculation, raw data filtering Additional filtering for footprint or instrument malfunctioning.

with contributions of 40+ research groups

The NEWS Atmospheric Diabatic Heating Profile Product  A ten year dataset of clouds, rainfall, and atmospheric heating between 40°N and 40°S has been.

Paul R. Moorcroft David Medvigy, Stephen Wofsy, J. William Munger, M. Dietze Harvard University Developing a predictive science of the biosphere.

Using a Global Flux Network—FLUXNET— to Study the Breathing of the Terrestrial Biosphere Dennis Baldocchi ESPM/Ecosystem Science Div. University of California,

An empirical model of stand GPP with LUE approach: analysis of eddy covariance data at several contrasting sites A. Mäkelä 1, M. Pulkkinen 1, P. Kolari.

New FLUXDATA collection Aim of the presentation: get feedbacks and suggestions from you in the next days.

FLUXNET: Measuring CO 2 and Water Vapor Fluxes Across a Global Network Dennis Baldocchi ESPM/Ecosystem Science Div. University of California, Berkeley.

Christian Beer, CE-IP Crete 2006 Mean annual GPP of Europe derived from its water balance Christian Beer 1, Markus Reichstein 1, Philippe Ciais 2, Graham.

The role of the Chequamegon Ecosystem-Atmosphere Study in the U.S. Carbon Cycle Science Plan Ken Davis The Pennsylvania State University The 13 th ChEAS.

Abstract Carbon Fluxes Across Four Land Use Types in New Hampshire Sean Z. Fogarty, Lucie C. Lepine, Andrew P. Ouimette — University of New Hampshire,

The Big Picture To assess the Global Carbon Budget we need information that is ‘Everywhere, All of the Time’ Many Complementary Methods exist, Each with.

The impacts of land mosaics and human activity on ecosystem productivity Jeanette Eckert.

Seasonal and Inter-Annual Variability in Net Ecosystem CO 2 Exchange at Six Forest Flux Sites in Japan Y. Ohtani* 1, Y. Yasuda* 1, Y. Mizoguchi* 1, T.

‘Breathing’ of the Terrestrial Biosphere: Lessons Learned from a Global Network of Carbon Dioxide and Water Vapor Flux Measurement Systems and Applications.

Gap filling of eddy fluxes with artificial neural networks

CarboEurope IP Mid-Term Project Overview Executive Board: Ernst-Detlef Schulze (PI), Annette Freibauer, Riccardo Valentini, John Grace, Philippe.

New tool for CO 2 flux partitioning with soil chamber flux implementation as a solution for site in topographically complex terrain Šigut, L., Mammarella,

Variability observed in C flux. (Pine plantation, SW Fance) (Rimu Forest SW NZ) A foresters paradise Environmentalist paradise.

Ecosystem component Levi, Finland November.

On the use of eddy-covariance and optical remote sensing data for biogeochemical modelling Markus Reichstein, Dario Papale Biogeochemical Model-Data-Integration.

Some challenges of model-data- integration a collection of issues and ideas based on model evaluation excercises Martin Jung, Miguel Mahecha, Markus Reichstein,

Spatial Model-Data Comparison Project Conclusions Forward models are very different and do not agree on timing or spatial distribution of C sources/sinks.

Carbon sequestration due to the abandonment of croplands in the former USSR since 1990 Nicolas VUICHARD (1) Luca BELELLI (1) Irina KURGANOVA (2) Philippe.

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

Ecosystem component Activity 1.6 Grasslands and wetlands Jean-François Soussana Katja Klumpp, Nicolas Vuichard INRA, Clermont-Ferrand, France CarboEurope,

Application of the ORCHIDEE global vegetation model to evaluate biomass and soil carbon stocks of Qinghai-Tibetan grasslands Tan Kun.

Change in vegetation growth and C balance in the Tibetan Plateau

Ecosystem component Activity 1.6 Grasslands and wetlands Jean-François Soussana Katja Klumpp, Nicolas Vuichard INRA, Clermont-Ferrand, France CarboEurope,

The PILPS-C1 experiment Results of the first phase of the project Complementary simulation to be done Proposition for the future.

Carbon and water cycling along the western Sierra gradient Anne Kelly SSCZO annual meeting August 21, 2012.

Variations in Continental Terrestrial Primary Production, Evapotranspiration and Disturbance Faith Ann Heinsch, Maosheng Zhao, Qiaozhen Mu, David Mildrexler,

Deforestation and the Stream Flow of the Amazon River -- Land Surface Processes and Atmospheric Feedbacks Michael T. Coe1, Marcos Heil Costa2, and Britaldo.

Using data assimilation to improve estimates of C cycling Mathew Williams School of GeoScience, University of Edinburgh.

Using a Global Flux Network—FLUXNET— to Study the Breathing of the Terrestrial Biosphere Dennis Baldocchi ESPM/Ecosystem Science Div. University of California,

Landscape-level (Eddy Covariance) Measurement of CO 2 and Other Fluxes Measuring Components of Solar Radiation Close-up of Eddy Covariance Flux Sensors.

Arctic Biosphere-Atmosphere Coupling across multiple Scales (ABACUS) Why is this SO important for understanding global change?

Biases in land surface models Yingping Wang CSIRO Marine and Atmospheric Research.

1 Hadley Centre for Climate Prediction and Research Vegetation dynamics in simulations of radiatively-forced climate change Richard A. Betts, Chris D.

CarboEurope: The Big Research Lines Annette Freibauer Ivan Janssens.

Model-Data Synthesis of CO 2 Fluxes at Niwot Ridge, Colorado Bill Sacks, Dave Schimel NCAR Climate & Global Dynamics Division Russ Monson CU Boulder Rob.

Edinburgh, June 2008Markus Reichstein Critical issues when using flux data for reducing Land Surfcace Model uncertainties – towards full uncertainty accounting?

Using AmeriFlux Observations in the NACP Site-level Interim Synthesis Kevin Schaefer NACP Site Synthesis Team Flux Tower PIs Modeling Teams.

Towards a robust, generalizable non-linear regression gap filling algorithm (NLR_EM) Ankur R Desai – National Center for Atmospheric Research (NCAR) Boulder,

Net Carbon Dioxide Losses of Northern Ecosystems in Response to Autumn Warming Shilong Piao, Philippe Ciais, Pierre Friedlingstein, Philippe Peylin Markus.

Slide -1 (Announcement) Breakout group “Against physical degradation of scientists” Where? Soccer field of Kalimera Hotel When? Friday, 5 pm (after plenary)

Success and Failure of Implementing Data-driven Upscaling Using Flux Networks and Remote Sensing Jingfeng Xiao Complex Systems Research Center, University.

FLUXNET synthesis: the data 932 site years from 246 sites (i.e. 50% more than in February) Available to colleagues involved in proposals at

The CarboeuropeIP Ecosystem Component Database: data processing and availability Dario Papale, Markus Reichstein.

Quantifying the Mechanisms Governing Interannual Variability in Air-sea CO 2 Flux S. Doney & Ivan Lima (WHOI), K. Lindsay & N. Mahowald (NCAR), K. Moore.

Matter cycles within ecosystems energy flows unidirectionally through ecosystems matter cycles at local and global scales movement of elements among various.

Trends in floods in small catchments – instantaneous vs. daily peaks

Figure 10. Improvement in landscape resolution that the new 250-meter MODIS (Moderate Resolution Imaging Spectroradiometer) measurement of gross primary.

Influence of tree crown parameters on the seasonal CO2-exchange of a pine forest in Brasschaat, Belgium. Jelle Hofman Promotor: Dr. Sebastiaan Luyssaert.

20 years of eddy flux research in EuroFlux and AmeriFlux

INTRODUCTION TO BIOSPHERE-ATMOSPHERE INTERACTIONS

Role of Flux Networks in Biogeosciences

Comparing Simulated and Observed Gross Primary Productivity

The bottom-up approach Soils Network active associated sites Eddy Flux network main flux sites active associated sites total coniferous

Central Location: 36° 37 ' N, 97° 30 ' W Washita basin, Oklahoma

Central Location: 36° 37 ' N, 97° 30 ' W Washita basin, Oklahoma

Presentation transcript:

Meta-analysis of eddy covariance carbon fluxes data Dario Papale, Markus Reichstein, Riccardo Valentini Marc Aubinet, Christian Bernhofer, Alessandro Cescatti, Alexander Knohl, Tuomas Laurila, Anders Lindroth, Eddy Moors, Kim Pilegaard, Günther Seufert

Climate, soil + Disturbances ? Schulze et al. 2000

Euroflux and Carboeuroflux datasets used

IWA (Index Water Availability): ratio of actual and potential evapotranspiration MAT: Mean annual temperature The data set was split into two populations by a threshold of potentially available radiation energy of 8.8 TJ m-2 yr-1 (52°N) Pot. Rad. > 8.8 TJ m-2 y-1Pot. Rad. < 8.8 TJ m-2 y-1

Pot. Rad. > 8.8 TJ m-2 y-1Pot. Rad. < 8.8 TJ m-2 y-1

Best-fit modeled versus observed annual (a) GPP, (b) TER, (c) NEP

How do we chose the radiation threshold? Performance of the simple regression model

Are the results robust against errors? (advection, footprint, quality, gapfilling, partitioning…) Results from 500 Monte-Carlo simulations where randomly plus or minus 200 gC m-2 were added to GPP, TER and NEP

At high [S], Km = insignificant and Q 10 of R = Q 10 of Vmax (Arrhenius kinetics) At low [S] : Km becomes important Also Km increases with Temp At low [S]: Q 10 of R << Q 10 of Vmax Davidson et al., Global Change Biology, in pressThanks Ivan for the slide! Decomposition = enzymatic process that follows Michaelis-Menten kinetics (1913)

Apparent Q10 depends on soil moisture Under ‘standard’ conditions (15°C; RSWC=0.6) the emergent Q10 of model and data are similar Along decreasing/increasing water availability data and model behave completely differently with respect to how Q10 changes. In opposite direction of what models predict

Valentini et al Latuitude - NEE relation

Conclusions GPP and TER compensate each other canceling out single climate factor effects Water availability plays an important role in GPP and TER not only in the Mediterranean region but also in central Europe Ecosystem carbon balance modeling approaches should abandon the convenient climate-NPP analogy and better account for carbon-water cycle interactions and non- climatic factors affecting respiration Flux tower data are a unique source of information that play an important role in process understanding and model development