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Yasso 07. French case study

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HAL Id: hal-02799423

https://hal.inrae.fr/hal-02799423

Submitted on 5 Jun 2020

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Yasso 07. French case study

Laurent Saint-André, Delphine Derrien, Manuel Nicolas, Mathieu Jonard

To cite this version:

Laurent Saint-André, Delphine Derrien, Manuel Nicolas, Mathieu Jonard. Yasso 07. French case study. [Technical Report] Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD); Institut National de la Recherche Agronomique (INRA). 2014. �hal-02799423�

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YASSO-07

French case study

Laurent SAINT-ANDRE, Delphine DERRIEN, Manuel NICOLAS, Mathieu

JONARD

(3)

Soil Organic Matter Processes…….. Opening the blackbox !

Introducti

on

Panorama of the

French Forest

Land cover area : 29.7% is Forests (Europe average, including Russia 32.2%)

Forest owners: 75% private, 25% public Total Volume (m3): 2.5 billion = 4th

European country after Russia, Germany, Sweden.

Forest Composition : Broadleaves species (67%), Coniferous species (22%), Mixed stands (11%)

Forest land (% of land cover, source European State of Forests, 2011) Quercus petraea Quercus robur Other Coniferous Pseudotsuga menziesii Pinus pinaster Pinus Sylvestris Picea abies Abies Alba Other Broadleaves Fagus Silvatica Castanea sativa Quercus pubescens Carpinus Betulus Fraxinus Excelsior © IGN 2012 Coniferous 880 millions of m3 Broadleaf 1594 millions of m3

12 tree species contribute to

80% of the total volume of

French Forests

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Soil Organic Matter Processes…….. Opening the blackbox !

National Forest Inventory: The Institute (IFN) in charge of the national

inventory has been embedded into the National Geographic Institute in 2012 Yearly assessment of forest

inventory (it was every ten years before 2008)

Results provided by administrative departments and by

SylvoEcological Regions : 91 SER and 12 GRECO

Forest land (% of land cover) by SylvoEcoRegions

SER = SylvoEcologicalRegion (determinants of forest growth conditions and habitats)

GRECO = Ecological regions (one GRECO regrouping several SER)

Introducti

on

Panorama of the

French Forest

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Soil Organic Matter Processes…….. Opening the blackbox !

National Forest Inventories Intensive study sites Range of ecological situations Instrumentatio n in situ Experimentatio n RENECOFOR GUYAFOR GIS-Coop, Liming network, MOS network, PlantaComp,… Monitoring networks Eg. level II- 16x16 SOERE F-ORE-T 15N labelled litter network Douglas network

Take advantage of the high (but structured) diversity

of monitoring and experimental networks in forest ecosystems

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Soil Organic Matter Processes…….. Integration at ecosystem scale

102 plot of the RENECOFOR Network

• Cover the main tree species in France

• Aboveground litterfalls measured

between1994-2008 (leaves, branches, fruits et miscellaneous).

• Regular forest inventories combined with

biomass models (above- and below-ground biomass) allowed to estimate the inputs after each thinning and each storm

• Soil carbon stocks have been measured in

93-95 and in 07-12.

• Climatic datasets are coming from

RENECOFOR own recording and Meteo France.

An unique dataset in forest

ecosystems

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Soil Organic Matter Processes…….. Integration at ecosystem scale

0 20 40 60 80 100 120 140 160 180 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 C Stocks (tC/ha) Year

C Stocks simulated for RENECOFOR Sites , run 3

SP26

HET 54b

1999 storm, plot HET 54b

Spinup procedure with average climate and litter inputs

Actual climate and litter inputs (evaluation of the stock

changes) Thinning Observed (tC/ha) Yasso07-6rdRun (tC/ha) Mean 80.9 81.6 SD 29.9 22.8 CV 37% 28% Observed (tC/ha/period) Yasso07-6rdRun (tC/ha/period) Mean 5.6 6.1 SD 9.5 7.2 CV 170% 118%

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Soil Organic Matter Processes…….. Integration at ecosystem scale

BUT, not at the stand / species level…….

-40.00 -30.00 -20.00 -10.00 0.00 10.00 20.00 30.00 40.00 -40.00 -30.00 -20.00 -10.00 0.00 10.00 20.00 30.00 40.00 Broadleaves Coniferous Fifth Run Stock Changes between 1995 and 2012 (t/ha) -40.00 -30.00 -20.00 -10.00 0.00 10.00 20.00 30.00 40.00 -40.00 -30.00 -20.00 -10.00 0.00 10.00 20.00 30.00 40.00 Broadleaves Coniferous Sixth Run Stock Changes between 1995 and 2012 (t/ha) Without considering species biochemistry of the litters Taking species specific biochemistry of the litters

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Soil Organic Matter Processes…….. Integration at ecosystem scale

Error tracking…….

-50 -40 -30 -20 -10 0 10 20 30 40 50 0 20 40 60 80 100 120 140 160 180

Errors in C stock changes (tC/ha)

-Period 1995

-2012

Measured soil C stocks in 1995 (down to 40cm, tC/ha)

Plots without storm Plots with storms

-50 -40 -30 -20 -10 0 10 20 30 40 50 0 20 40 60 80 100 120 140 160 180

Errors in C stock changes (tC/ha)

-Period 1995

-2012

Measured soil C stocks in 1995 (down to 40cm, tC/ ha)

Coniferous Broadleaves

- Error well correlated to the initial stock

Past history ? But also wrong estimate of the partitionning of SOM into the biochemical components

- Species effect (on the intercept and interaction with the stand

productivity)

Biogeochemistry of the litter not well taken into account Too much emphisize on the amount of the litter

-50 -40 -30 -20 -10 0 10 20 30 40 50 0 1 2 3 4 5 6 7 8 9

Errors in C stock changes (tC/ha)

-Period 1995

-2012

Productivity (above- and below-ground) tC/ha/year

Coniferous Broadleaves

- Fertility effect (slight)

The litter inputs do eliminate most of the impact of soil fertility on SOC dynamics, but not all. It remains a slight effect of soil properties

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Soil Organic Matter Processes…….. Integration at ecosystem scale

Conclusion on the Yasso model

The architecture of Yasso based on a biochemical partitioning of SOC is

particularly relevant to tackle the challenge of assessing assess fluxes at

decades to centuries time scale

But it need to be reparametrized for French application with more

contrasted values for the Acid, Ethanol and Non soluble pools (like in

Tuomi et al., 2011a Ecological Modelling; 2011b, Environmental Modeling

and Software)

And also may be an improvement to take, at least, humus type into

consideration (cf work of J. Salleles)

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