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HAL Id: hal-02739769

https://hal.inrae.fr/hal-02739769

Submitted on 2 Jun 2020

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Microanalyse à haute résolution du bois et dendrochronologie des arbres tropicaux

Stéphane Ponton, Christophe Rose, Jean-Luc Dupouey, Alexandre Giuliani, Dominique Thiaudière, Cristian Mocuta

To cite this version:

Stéphane Ponton, Christophe Rose, Jean-Luc Dupouey, Alexandre Giuliani, Dominique Thiaudière, et al.. Microanalyse à haute résolution du bois et dendrochronologie des arbres tropicaux.

INRA-SOLEIL: the synchrotron approach in agriculture, food and environment sciences. INRA- SOLEIL2015, Jan 2015, Saint-Aubin, France. 23 p. �hal-02739769�

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Microanalyse à haute résolution du bois et dendrochronologie des arbres tropicaux

---

Wood SXRF microanalysis and dendrochronology of tropical trees

S. Ponton, C. Rose, J-L. Dupouey (INRA, UMR EEF, Nancy) A. Giulliani (INRA / SOLEIL)

D. Thiaudière, C. Mocuta (SOLEIL, DIFFABS)

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Context

- Effect of environmental global changes on forest (temperature, precipitation pattern, [CO2]atm, atmosp. deposition,…)

- Sustainable management of forest ressources

- Wet tropical forests:

- lack of knowledge on growth dynamics (and determinants).

- Harvest policies

Paracou, Guyane française, 140 tree species /ha

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Dendrochronology

Schweingruber, 1983

Abies alba Quercus robur

 Retrospective growth analysis

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Dendrochronology

Abies alba

Quercus robur Licania micrantha Goupia glabra

Vouacapoua americana Couratari multiflora

 Retrospective growth analysis

Tropical forest trees

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Objectives

Find (reliable) chemical markers of radial growth in the wood for a posteriori reconstruction of tree growth (and dating)

• Synchrotron XRF: (i) non-destructive (repetitions, further measurements), (ii) relatively rapide, (iii) high spatial resolution… as compared to

stable isotopes approaches (e.g. d13C, d18O)

• Dendrochemical variations : endogenous and/or environnemental determinism

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Climate seasonal variations in tropical forests

Worbes, 1995

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Wood samples & sampling design

Sextonia rubra

Dicorynia guianensis

Pericopsis elata

× 5 (26 year-old)

× 5 (26 year-old)

× 3 (56 year-old)

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DIFFABS

10.7 keV / 18.1 keV

SDD Röntec

Spot 300×424µm

pith

bark 200 µm

step

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Results: wood elemental composition

Pericopsis elata

10.7 keV K, Ca, Ti, Cr, Mn, Fe, Ni, Cu, Zn

18.1 keV Ca, Mn, Fe, Cu, Zn, Pb, Br, Rb, Sr

10.7

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Results: wood elemental composition

18.1 keV

(ppm) Dg Sr

K 400 1400

Ca 530 350

Ti 0.8 0.4

Cr 8.2 7.4

Mn 8.1 10.3

Fe 87.4 49.8

Ni 2.3 1.3

Cu 1.8 2.2

Zn 6.3 6.5

Pb 1.3 1.2

Br - -

Rb 1.6 5.7

Sr 7.5 7.1

ICP-AES

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Results: radial variations

Sextonia rubra

Sr5

Sr4

Sr3

Sr2

Sr1 18.1 keV

Strontium (arbitraryunits)

2008: tree felling

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Results: peak detection

Sr5

Sr4

Sr3

Sr2

Sr1

1982

?

?

?

?

1988

1989

?

?

1985

? 1987

?

Sextonia rubra

First expected year of growth: 1982

18.1 keV

?

Strontium (arbitraryunits)

2008: tree felling

?

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Results: covariations

10.7 keV

Pericopsis elata

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Results: covariations

10.7 keV

Pericopsis elata

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Results: mapping

10.7 keV

Pericopsis elata

Mapping of spatial variations in calcium

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Results: back calculated radial growth

Sextonia rubra

18.1 keV

Strontium chronologies

2008: tree felling

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Perspectives

• « Technological transfer » to lab XRF (e.g. SEM/EDS) for large samplings  growth chronologies

• Growth dynamics (e.g. response to perturbation), relationship with climate (e.g. precipitation patterns), effect of (global) environmental changes (e.g. N deposition)

Références

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