Forest growth modelling in CAF

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Forest growth modelling in CAF

• -A brief introduction in ECP, Paris

Xiangdong Lei, HongGuo
Department of Forest management and
statistics Institute of Forest Resource
Information Techniques (IFRIT) Chinese Academy of
Forestry (CAF)
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Outline

• Department of forest management and statistics
• Current work
• Main interests
• Visiting objectives

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Department of forest management and statistics

• 14 staffs
• Forest inventory and zonification
• Forest resource management
• Forest growth model and simulation
• Sustainable forest management

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Current work on forest growth modelling

• Statistical GY model
• Individual tree (D, H-D, Mortality, Crown width)
• Diameter class (matrix growth model)
• Whole stand (BA, N, DH, SI, Biomass)
• mixed effect model
• System equations
• FSTM
• Parameterization of GreenLab model for Chinese
  pine, Eucalyptus

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Current work on forest growth modelling

• Management model (diameter class)
• Thinning, selective cutting
• Management objective (Timber, biodiversity,
  biomass/carbon)
• Optimization control/management planning
• Optimal management scenario
• Multiple objective (Timber, biodiversity,
  biomass/carbon)

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Main interests

• Growth model (IBM, FSTM with environmental
  effects and management effects)
• Management model (individual based selective
  logging)
• Optimization control (multiple products and
  services)
• Sustainable forest management

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Visiting objectives

• Learn new development of GreenLab model and
  Digiplante software (GL2, GL3?)
• Model test with competition effects for Chinese
  pine (data quality and fitting procedure by
  Digiplante)
• Fitting GreenLab model for Eucalyptus (data
  quality and fitting procedure by Digiplante)
• Future cooperation
• Copublishing papers
• Proposal on FSPM and its application in forest
  management under CG
• Short visit to China
• Student exchange

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Functional-structural model of Eucalyptus

• Xiangdong Lei, JunDiao, HongGuo, Lingxia Hong

Institute of Forest Resource Information
Techniques (IFRIT) Chinese Academy of Forestry
(CAF)
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Outline

• Objective
• Data and methods
• Preliminary results
• Future work

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Background

• Eucalyptus
• China has the second largest (to Brazil)
  planting of Eucalyptus in the world, short
  rotation, continuous growing
• Debate on its environmental effects (water, soil,
  biodiversity)
• Use
• chips for paper making and for man-made fiber
  industries
• Fuelwood, eucalypt oil, honey

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Objectives

• Parameterization of GreenLab model for Eucalyptus
• Competition effects on topological and functional
  plasticity of Eucalypt
• Production/biomass optimization

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Data and methods

• The architecture is very simple continuous
  growth, no growth units and random branching.

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• Branch orders 1,2,3, seldom order 4

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Data and methods

• Numerous phytomers
• Destructive sampling
• Age series (1,3,4,5,6)
• Zhanjiang, South China

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Data and methods-Architecture

• Number and length of internodes on trunk.
• Length of trunk is measured and L1.
• To define on the trunk gt 5 areas as Z1(i).
• Areas has attribute and must be spread uniformly
  along the trunk.
• Attributes for Z1(i) are
• Position from bottom of starting Z1 XZ1(i)
• Length, biomass and diameter of Z1
  LZ1(i)
• Number of internodes of Z1 NZ1(i)
• Total number of branches Phy2 in Z1
  BZ1(i)
• Number of dead branches in Z1 MZ1(i)
• For Phy 2 Z2(i) 3 area can be define bottom ,
  middle, top.
• For phy 3 Z3(i) one are is sufficient.

(de Reffye and Letort, 2008,2009)
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Data and methods
Planting density 32
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Data and methods
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Data and methods
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Data and methods-water content
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Data and methods-Leaf expansion
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Data and methods-growth probability
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Data and methods
6 persons 1 month!!
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Preliminary results
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Leaf area-leaf weight model
25 trees, 455 leaves (mature 234, young 221)
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Leaf area-leaf weight model
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Leaf area-leaf length, width model
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Number of internodes on the trunk and tree height
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Mean length of internodes for each segments along
the trunk
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Future work

• Fitting GreenLab model for Eucalyptus
• Modelling competition and density effects
• Density series (2-3)
• Combination with empirical growth models
• Yield optimization

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Merci!

• Question?

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Questions

• Sampling area on the trunk from bottom to top
• Sampling area on the branch from top to bottom

• Sampling area on the trunk in the same tree
• Equal? Unequal?
• Sampling area on the trunk in different trees?
• Equal? Unequal?

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Questions

• Branching probabilitygt1?
• It is difficult to identify leaf or branch on
  the internode for dead ones
• Number of branches
• Number of internodes

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Measurement methods

• For trunk, LZ1(i)1m and XZ1(i)0
• For PA2, LZ2(i)0.3m(i3), XZ2(i)?XZ2(i1)?
• For PA3, LZ3(i)0.1m(ilt3), XZ3(i)?XZ3(i1)?
• For PA4, LZ4(i)0.1m(i1), XZ4(1)