[PPT] - Xtrawood: refining estimation of tree above ground biomass using wood PowerPoint Presentation

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Xtrawood: refining estimation of tree above ground biomass using wood density variations and tree structure

Romain Lehnebach, Hélène Morel, Julie Bossu, Jacques Beauchêne, Eric Nicolini Jean-François Barczi, Sébastien Griffon

Lehnebach et al. – ATBC 2016: Towards refined carbon budgets of managed forests

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Tree Above Ground Biomass (AGB) tree AGB = Tree volume X Whole-tree Basic density

Tree Dry mass Tree Green volume

Estimating tree AGB 1

Perfect tree AGB estimate !!

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Tree Above Ground Biomass (AGB) tree AGB = Tree volume X Whole-tree Basic density

Estimating tree AGB 1

Perfect tree AGB estimate !!

tree AGB = Result of Allometrical equations

(DBH, H and Species-level wood density value)

Tree Dry mass Tree Green volume

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Tree Above Ground Biomass (AGB) tree AGB = Tree volume X Whole-tree Basic density

Estimating tree AGB 1

Perfect tree AGB estimate !!

tree AGB = Result of Allometrical equations

(DBH, H and Species-level wood density value)

Biased or unbiased tree AGB ?? Tree Dry mass Tree Green volume

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Species

88 % 84 %

Osazuwa et al. 2014 Lehnebach, 2015

Variance partitioning of wood density

Variance partitioning of Wood density 2

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Species

88 %

Individual

5 %

Wood disc

7 % 84 % 7,5 %

Height

8,3 %

Variance partitioning of wood density

Variance partitioning of Wood density 2

Osazuwa et al. 2014 Lehnebach, 2015

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Species

88 %

Individual

5 %

Wood disc

7 % 84 % 7,5 %

Height

8,3 %

Variance partitioning of wood density

7 to 15% explained to the within-tree level !!

Variance partitioning of Wood density 2

Osazuwa et al. 2014 Lehnebach, 2015

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Radial and Longitudinal pattern of Wood density variations

0.4 0.6 0.2 0.8 1.0 1 2 3 4 5 6

Wood density (g.cm -3) Radial distance (cm)

Radial pattern

Within-tree Wood density variations 3

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Radial and Longitudinal pattern of Wood density variations

0.4 0.6 0.2 0.8 1.0 1 2 3 4 5 6

Wood density (g.cm -3) Radial distance (cm)

10 20 0.5 0.6 0.7 0.8

Radial distance (cm) Wood density (g.cm -3)

Breast height Under the fork Mid-trunk height Within crown

Radial pattern Longitudinal pattern

Within-tree Wood density variations 3

Dicorynia guianensis

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Linking Tree structure and Wood density variations

In theory …

Tree structure data Stems dimensions and topology

Xtrawood in theory 4

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Linking Tree structure and Wood density variations

In theory …

10

10 20

20

0.5 0.6 0.7 0.8

Radial distance (cm) Tree structure data Stems dimensions and topology Wood density data Radial and Longitudinal references Wood density (g.cm -3)

Xtrawood in theory 4

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Linking Tree structure and Wood density variations

In practice…

Tree structure data Stems dimension and topology

Xtrawood in practice 5

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Linking Tree structure and Wood density variations

In practice…

ENTITY-CODE Line Length Basal diameter Distal diameter /I1 1 /A1 2 ^/U1 3 130 80 80 ^<U2 4 1850 80 60 +A21 5 ^/U1 6 … ^<U3 10 70 30 25 +A21 11 … ^/U1 14 330 25 10 …

Tree structure data Multiscale Tree Graph (MTG) (Godin & Caraglio, 1998)

Xtrawood in practice 5

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ENTITY-CODE Line Length Basal diameter Distal diameter /I1 1 /A1 2 ^/U1 3 130 80 80 ^<U2 4 1850 80 60 +A21 5 ^/U1 6 … ^<U3 10 70 30 25 +A21 11 … ^/U1 14 330 25 10 …

Linking Tree structure and Wood density variations

In practice…

Tree structure data Multiscale Tree Graph (MTG) (Godin & Caraglio, 1998)

Xtrawood in practice 5

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Linking Tree structure and Wood density variations

In practice…

10

10 20

20

Radial distance (cm) 0.5 0.6 0.7 0.8

Wood density data

Ind hclass height distance WD … … … … … 1 1 270

1

0,525 1 1 270 0,558 1 1 270 1 0,484 … … … … … 1 1 270 19 0,770 1 2 1200

2

0,535 1 2 1200

1

0,552 1 2 1200 0,575 1 2 1200 1 0,551 … … … … … 1 2 1200 16 0,714 1 3 2250

2

0,508 1 3 2250

1

0,504 1 3 2250 0,556 1 3 2250 1 0,533 … … … … … 1 3 2250 16 0,608 1 4 2701

2

0,799 1 4 2701

1.5

0,777 1 4 2701 1.5 0,805 1 4 2701 2 0,799 … … … … … … … … … … … … … … … ENTITY-CODE Line Length Basal diameter Distal diameter /I1 1 /A1 2 ^/U1 3 130 80 80 ^<U2 4 1850 80 60 +A21 5 ^/U1 6 … ^<U3 10 70 30 25 +A21 11 … ^/U1 14 330 25 10 …

Tree structure data Multiscale Tree Graph (MTG) (Godin & Caraglio, 1998)

Wood density (g.cm -3)

Xtrawood in practice 5

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h − x

Mass calculation of layers, stem segment and tree

Layer Density series Density series d2 d1

Wood density at height x :

Calculation implemented in Xtrawood 6

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h − x

Mass calculation of layers, stem segment and tree

d2 d1

Wood density at height x :
Half-ring area at height x :

Calculation implemented in Xtrawood 6

Density series Density series

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h − x

Mass calculation of layers, stem segment and tree

d2 d1

Wood density at height x :
Half-ring area at height x :
Layer mass :

Calculation implemented in Xtrawood 6

Density series Density series

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h − x

Mass calculation of layers, stem segment and tree

d2 d1

Wood density at height x :
Half-ring area at height x :
Layer mass :
Stem segment mass :

Calculation implemented in Xtrawood 6

Density series Density series

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Computing biomass and visualizing wood density variations

The example of Dicorynia guianensis

Hyper-accumulating carbon species (Fauset, 2015)

An example with Dicorynia guianensis 7

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Computing biomass and visualizing wood density variations

The example of Dicorynia guianensis

8 trees 15 to 60 cm DBH Measured by climbers

An example with Dicorynia guianensis 8

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Computing biomass and visualizing wood density variations

The example of Dicorynia guianensis

8 trees 15 to 60 cm DBH Measured by climbers

One density measurement each ½ cm

An example with Dicorynia guianensis 8

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Computing biomass and visualizing wood density variations

The example of Dicorynia guianensis

An example with Dicorynia guianensis 9

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Computing biomass and visualizing wood density variations

The example of Dicorynia guianensis

An example with Dicorynia guianensis 9

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Computing biomass and visualizing wood density variations

The example of Dicorynia guianensis

An example with Dicorynia guianensis 9

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An example with Dicorynia guianensis

Xtrawood AGB estimate VS Allometrical AGB estimate

1000 2000 3000 4000 1000 2000 3000 4000

Xtrawood AGB estimation (kg)

10

Chave et al. 2005 AGB estimation (kg)

(Species-level value 0.65)

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An example with Dicorynia guianensis

Xtrawood AGB estimate VS Allometrical AGB estimate

1000 2000 3000 4000 1000 2000 3000 4000

Xtrawood AGB estimation (kg)

10

Chave et al. 2005 AGB estimation (kg)

(Species-level value 0.65)

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Conclusions

Conclusion & Perspectives 10

Xtrawood produces biomass estimates taking into account wood density variations Xtrawood allows the visualization of wood density within tree Xtrawood is not dedicated to forest managers !! …. but is reliable tool to develop efficient sampling strategies (cross-validation, Whole-tree density estimation)

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Conclusions

Xtrawood produces biomass estimates taking into account wood density variations Xtrawood allows the visualization of wood density within tree Xtrawood is not dedicated to forest managers !! …. but is reliable tool to develop efficient sampling strategies (cross-validation, Whole-tree density estimation)

What happens next ?

Integration of heartwood amount … Dynamics of biomass accumulation … taking into account tree structure and wood density variations Xtrawood is always under development ! Comments ? Advices ? Requests ?

Conclusion & Perspectives 10

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Website: amapstudio.cirad.fr/soft/xplo/start Multi-platforms: Windows, Linux, Mac OS X Language : Java Licence : LGPL Developper: Sébastien Griffon (sgriffon@cirad.fr)

Xplo …. 11

Informations

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