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Modelling Mixedwoods at the Whole-Stand Level

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Modelling Mixedwoods at the Whole-Stand Level Oscar Garc a University of Northern British Columbia Outline Why?? Spatial structure Initial state info Predictability How? – PowerPoint PPT presentation

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Title: Modelling Mixedwoods at the Whole-Stand Level


1
Modelling Mixedwoods at the Whole-Stand Level
  • Oscar García
  • University of Northern British Columbia

2
Outline
  • Why??
  • Spatial structure
  • Initial state info
  • Predictability
  • How?
  • Canopy driven
  • Species layers, interaction
  • Model structure

3
Why??!
4
Spatial structure
  • Tree sizes not random on the ground
  • Competition ? neighbours more different
  • Micro-site ? neighbours more similar
  • ? Size distribution properties change with area

5
Spatial structure
Expected dbh variance in a circular plot
6
Initial state estimates
Samples of 50
7
Limits to predictability
8
Limits to predictability
9
Limits to predictability
10
Limits to predictability
11
Limits to predictability
12
Limits to predictability
13
Limits to predictability
14
Aggregation
PV kT
d2x / dt2 F/m
(Newton, 1687)
15
Understanding, prediction
Explain
Predict?
16
Simulation
Prediction?
17
Predictability
18
Complex systems requiresimple models
19
Mixedwoods
20
Individual-tree?
Tree-level model
tree list
tree list
21
Individual-tree?
Tree-level model
tree list
tree list
(B,N,H)
Inventory
22
Individual-tree?
Tree-level model
tree list
tree list
(B,N,H)
(B,N,H)
Inventory
Application
23
Individual-tree?
Tree-level model
tree list
tree list
Stand-level model
(B,N,H)
(B,N,H)
Inventory
Application
24
Whole-stand
  • Mix species, uneven-aged Eg. Moser
  • What does the xylem have to do with it?
  • Allometry, or lack of it
  • Top down

25
Aspen-spruce
26
Aggregated (whole-stand)
Aspen foliage
Aspen wood
Spruce foliage
Spruce wood
27
Mechanism
Interceptance ()
Volume (m3/ha)
28
Site quality
29
Site quality
30
Gross increment
31
Resource capture
  • Closure
  • ? Amount of foliage, relative to maximum
  • Occupancy (R)
  • ? Interceptance, relative to maximum

R
Closure
R 1- (1- C)2.4
32
Simplest models
  • First approximation
  • dV/dt a (closed canopy, no mortality)
  • Including open, no mortality
  • dV/dt a R
  • dR/dt b (1 R) or b R(1 R)
  • Mortality
  • dN/dt - c R N dV/dt a R - Vmort
  • Vmort (mean V of dead) (- dN/dt)
  • - k N-1/2 V/N dN/dt

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Conclusions
  • Predicting behaviour of individual trees may be
    hopeless
  • Not necessary
  • No dbh-driven modelling
  • More research is needed
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