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Process‐based modeling of daily growth as a  function of environmental forcing in mixed 

temperate forests

Sonia Simard1, Guillermo Gea‐Izquierdo2 Joël Guiot2, Ingo Heinrich1, Gerhard Helle1

1GFZ Potsdam, Germany

2CEREGE UMR7330, CNRS/Aix‐Marseille Université, France

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NE Germany 

Study site

Hinnensee

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Dendrochronology

• Study of annually dated tree‐ring time series

• Different proxies

Tree‐ring width Isotopes

Wood anatomical parameters

• Understand the response of proxy to climate  or reconstruct past climates

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Oak ring width chronology

• > 300‐year long chronology

• EPS>0.85 : 1780‐2010

• Climate data from 1900

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Climate – growth relationship

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• Na;;naakn;akn;akns

• S;djsdowielwkfn<

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Signal stability

Statistical  approaches 

No major changes  in the tree 

environment  linear 

relationships Underlying 

processes ‐> 

black box

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Ecophysiological modeling

• Process‐based models 

Opportunity to go beyond the limitations of  statistical approaches 

• Forward mode

Driven by climate and other environmental factors

• Inverse mode

Climate information can be extracted

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MAIDEN model

Misson et al. 2004

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Simulation

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• Blalabalabalblabalabblalabalbalabla

• Na;;naakn;akn;akns

• S;djsdowielwkfn<

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Monitoring site

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Site

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Seasonal growth

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Daily growth

Oaks

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Summary

• Long‐lived climate‐sensitive species 

• Monitoring site

• MAIDEN model 

Opportunity to gain a better understanding of the  system

Inverse modeling: promising approach for robust  climate reconstruction 

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Thank you!

Acknowledgements:

T. Blume, I. Heidbüchel, J. Dreibrodt, H. Wilke, 

C. Tecklenburg, A. Güntner,  M. Morgner

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Tmin Tmax Tmean RH min RHmax RH mean Rad min Rad max Rad mean VPDmin VPDmax VPDmean Precip PET CWB

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