GPP of Europe Martin Jung Christian Beer Alberte
GPP of Europe Martin Jung, Christian Beer, Alberte Bondeau, Galina Churkina, Dario Papale, Markus Reichstein, Mona Vetter, Nicholas Viovy, Sönke Zähle Christian Beer CE-IP, Poznan, 2007
Approaches for estimating continental-wide GPP Mechanistic and empirical models for photosynthesis, respiration, allocation, competition, mortality (as a function of climate, CO 2, soil texture type, …) BIOME-BGC, LPJ-DGVM, ORCHIDEE (CE-IP model intercomparison) Upscaling of leaf physiology and stand dynamics 1. Partitioning of NEE @ flux tower sites into GPP and TER 2. Upscaling of GPP to the continent by using remote sensing, climate grids and soil maps a) By using an ANN b) By relating GPP to absorbed ration (RUE) MOD 17+ c) By relating GPP directly to f. APAR FPA+LC d) By relating GPP to transpiration (WUE) WBA Christian Beer CE-IP, Poznan, 2007
Outlook 1. Comparison of GPP by different approaches 2. Analysis of spatial pattern of GPP Christian Beer CE-IP, Poznan, 2007
GPP of considered watersheds (280 Mha) WBA BGC Christian Beer CE-IP, Poznan, 2007 LPJ ORC FPA ANN MOD 17
Direct information from flux tower measurements Christian Beer CE-IP, Poznan, 2007
Direct information from flux tower measurements Christian Beer CE-IP, Poznan, 2007
Direct information from flux tower measurements NOT RESPRESENTATIVE HIGH PRODUCTIVE FORESTS Christian Beer CE-IP, Poznan, 2007
WBA: uncertainty due to different climate inputs Uncertainty most pronounced due to climate inputs, not so much due to remote sensing maps and regression parameters. Christian Beer CE-IP, Poznan, 2007
GPP of considered watersheds (280 Mha) WBA BGC LPJ ORC FPA ANN MOD 17 5. 06 3. 94 3. 38 2. 81 2. 25 GPP [Pg. C/a] Christian Beer CE-IP, Poznan, 2007
GPP/NPP ratios NPP of Europe by inventories and a grass model: 2. 52 Pg. C/a (Nabuurs et al. , 2003, FAO Yearbook 2004, Vuichard et al. , 2007) BGC LPJ ORC FPA ANN MOD 17 WBA DAO+CRU 3. 75 4. 56 4. 82 5. 03 4. 62 5. 02 7. 56 6. 5 NPP/GPP 0. 67 0. 55 0. 52 0. 55 0. 33 0. 39 GPP [Pg. C/a] Scaled by Martin J. according to bias in climate drivers Christian Beer CE-IP, Poznan, 2007
For each approach: (GPP-mean. GPP)/std. GPP General low GPP in Scandinavia but differences in Southern Finland Christian Beer CE-IP, Poznan, 2007
Correlation matrix Christian Beer CE-IP, Poznan, 2007
For each approach: (GPP-mean. GPP)/std. GPP Po basin: impact of C 4 plants! Christian Beer CE-IP, Poznan, 2007
Clear spatial patterns in Europe Christian Beer CE-IP, Poznan, 2007
Clear spatial patterns in Europe (by Giuliana Zanchi, EFI, Finland) Christian Beer CE-IP, Poznan, 2007
Carbo. Europe‘s overarching aim “Carbo. Europe-IP aims to understand quantify the present terrestrial carbon balance of Europe and the associated uncertainty at local, regional and continental scale” Christian Beer CE-IP, Poznan, 2007
Summary Most approaches lack uncertainty assessment !! Good understanding of European GPP: ~ 5 Pg. C/a WBA much higher than all other approaches (7 Pg) but agreement with initial process-model results and in spatial pattern: Increasing GPP to Central and Western Europe (moist-warm climate) BIOME-BGC and ORCHIDEE show different spatial pattern Christian Beer CE-IP, Poznan, 2007
Perspectivs Refinement of results: RUE approach: Enrico Tomerelli, MPI-BGC, Jena ANN: Dario Papale, Viterbo DGVMs improved during the CE-IP time frame? New model runs needed? Correction for climate inputs? Thanks a lot for your attention Christian Beer CE-IP, Poznan, 2007
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