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Managing stand density to enhance the
adaptability of Scots pine stands to
climate change: a modelling approach
A.Ameztegui, A. Cabon, M. de Cáceres, L. Coll
Introduction | The context
Introduction | The context
Introduction | The context
Introduction | The recipe
Introduction | The recipe
Introduction | The recipe
➤ ↑ timber quality
Introduction | The recipe
➤ ↑ timber quality
➤ ↓ Interception losses 

(↑ infiltration)
Introduction | The recipe
➤ ↑ timber quality
➤ ↓ Interception losses 

(↑ infiltration)
➤ ↓ Stand transpiration
Introduction | The recipe
➤ ↑ timber quality
➤ ↓ Interception losses 

(↑ infiltration)
➤ ↓ Stand transpiration
➤ Available water apportioned
among fewer trees
Introduction | The recipe
➤ ↑ timber quality
➤ ↓ Interception losses 

(↑ infiltration)
➤ ↓ Stand transpiration
➤ Available water apportioned
among fewer trees
Positive effect on:
Introduction | The recipe
➤ ↑ timber quality
➤ ↓ Interception losses 

(↑ infiltration)
➤ ↓ Stand transpiration
➤ Available water apportioned
among fewer trees
Positive effect on:
➤ ↑ tree vigour
Introduction | The recipe
➤ ↑ timber quality
➤ ↓ Interception losses 

(↑ infiltration)
➤ ↓ Stand transpiration
➤ Available water apportioned
among fewer trees
Positive effect on:
➤ ↑ tree vigour
➤ ↑ WUE
Introduction | The recipe
➤ ↑ timber quality
➤ ↓ Interception losses 

(↑ infiltration)
➤ ↓ Stand transpiration
➤ Available water apportioned
among fewer trees
Positive effect on:
➤ ↑ tree vigour
➤ ↑ WUE
➤ ↑resilience to drought events
Introduction | The recipe
➤ ↑ timber quality
➤ ↓ Interception losses 

(↑ infiltration)
➤ ↓ Stand transpiration
➤ Available water apportioned
among fewer trees
Positive effect on:
➤ ↑ tree vigour
➤ ↑ WUE
➤ ↑resilience to drought events
➤ ↑ soil water content
Introduction | The problem
Introduction | The problem
Introduction | The problem
Transient effects





Introduction | The problem
Transient effects





Dependent on site, 

thinning regime

climatic scenario
Introduction | The problem
Difficult long-term experiments
Impossible to assess future
climate
Introduction | Our suggestion
SORTIE-ND medfate

(swb)
mmwater
2011 2012 2013
020406080
Rainfall
PET
mmwater
2011 2012 2013
0123
Total evaporation
Plant ET
Bare soil E
Watercontent(%vol)
2011 2012 2013
0.00.10.20.30.40.5
Predicted
Measurements (6 CS616 probes, 0−30 cm, mean+/−1.96se)
Our objectives
➤ Can we predict the post-thinning
dynamics?

Our objectives
➤ Can we predict the post-thinning
dynamics?

➤ Effect of several factors
➤ Initial site conditions
➤ Climate scenario
➤ Thinning regime

Our objectives
➤ Can we predict the post-thinning
dynamics?

➤ Effect of several factors
➤ Initial site conditions
➤ Climate scenario
➤ Thinning regime

➤ On several variables
➤ Forest production
➤ Water balance (blue water)
➤ Tree drought stress
Our objectives
➤ Can we predict the post-thinning
dynamics?

➤ Effect of several factors
➤ Initial site conditions
➤ Climate scenario
➤ Thinning regime

➤ On several variables
➤ Forest production
➤ Water balance (blue water)
➤ Tree drought stress
Our objectives
Trade-offs
Methods | Case study
Pinus sylvestris

(Scots pine)
➤ 240,000 ha (17%)
➤ 2/3 monospecific
➤ 160,000 m3 timber (25%)
Methods | Case study
Pinus sylvestris

(Scots pine)
Methods | Case study
Pinus sylvestris

(Scots pine)
Foto: M. Beltrán
Foto: T. Valor
Foto: S.Martín
Humid
SiteTemp 8.7
Precip 828
Martonne 44.3
Mesic
SiteTemp 12.0
Precip 714.
Martonne 32.5
Xeric Site
Temp 12.5
Precip 564.
Martonne 25.1
Methods | Initial conditions
Pinus sylvestris

(Scots pine)
Humid
SiteTemp 8.7
Precip 828
Martonne 44.3
Mesic
SiteTemp 12.0
Precip 714.
Martonne 32.5
Xeric Site
Temp 12.5
Precip 564.
Martonne 25.1
Methods | Initial conditions
Pinus sylvestris

(Scots pine)
Methods | Thinning regime
Methods | Thinning regime
Control -10% AB -20% AB -30% AB
-40% AB -50% AB -60% AB -70% AB
2020 2040 2060 2080 2100
891011121314
Year
MeanAnnualTemp.
Humid
Scenario A2
y = 9.0 + 0.0277 * year ^ 1.125
2020 2040 2060 2080 2100
891011121314
YearMeanAnnualTemp.
Humid
Scenario B2
y = 9.0 + 0.0916 * year ^ 0.728
2020 2040 2060 2080 2100
11121314151617
Year
MeanAnnualTemp.
Mesic
Scenario A2
y = 12.0 + 0.0327 * year ^ 1.086
2020 2040 2060 2080 2100
11121314151617
Year
MeanAnnualTemp. Mesic
Scenario B2
y = 12.0 + 0.1015 * year ^ 0.709
2020 2040 2060 2080 2100
11121314151617
MeanAnnualTemp.
Xeric
Scenario A2
y = 12.5 + 0.0550 * year ^ 0.964
2020 2040 2060 2080 2100
11121314151617
MeanAnnualTemp.
Xeric
Scenario B2
y = 12.5 + 0.1624 * year ^ 0.611
Methods | Climatic scenarios (temperature)
2020 2040 2060 2080 2100
891011121314
Year
MeanAnnualTemp.
Humid
Scenario A2
y = 9.0 + 0.0277 * year ^ 1.125
2020 2040 2060 2080 2100
891011121314
YearMeanAnnualTemp.
Humid
Scenario B2
y = 9.0 + 0.0916 * year ^ 0.728
2020 2040 2060 2080 2100
11121314151617
Year
MeanAnnualTemp.
Mesic
Scenario A2
y = 12.0 + 0.0327 * year ^ 1.086
2020 2040 2060 2080 2100
11121314151617
Year
MeanAnnualTemp. Mesic
Scenario B2
y = 12.0 + 0.1015 * year ^ 0.709
2020 2040 2060 2080 2100
11121314151617
MeanAnnualTemp.
Xeric
Scenario A2
y = 12.5 + 0.0550 * year ^ 0.964
2020 2040 2060 2080 2100
11121314151617
MeanAnnualTemp.
Xeric
Scenario B2
y = 12.5 + 0.1624 * year ^ 0.611
+ 4.6 ºC

(47.8%)
+ 2.7 ºC
(26.7%)
+ 4.3 ºC

(35.8%)
+ 2.4 ºC

(20.0%)
+ 4.2 ºC

(33.6%)
+ 2.5 ºC

(20.0%)
Methods | Climatic scenarios (temperature)
2020 2040 2060 2080 2100
6007008009001000
Year
MeanAnnualPrec.
Humid
Scenario A2
y = 806.2 − 0.0009 * year ^ 2.63
2020 2040 2060 2080 2100
6007008009001000
YearMeanAnnualPrec.
Humid
Scenario B2
y = 806.2 − 0.4773 * year ^ 0.92
2020 2040 2060 2080 2100
500600700800900
Year
MeanAnnualPrec.
Mesic
Scenario A2
y = 714.2 − 0.0227 * year ^ 1.91
2020 2040 2060 2080 2100
500600700800900
Year
MeanAnnualPrec.
Mesic
Scenario B2
y = 714.2 − 4.286 * year ^ 0.60
2020 2040 2060 2080 2100
400500600700800
MeanAnnualPrec.
Xeric
Scenario A2
y = 564.3 − 5.1·e−6 * year ^ 3.62
2020 2040 2060 2080 2100
400500600700800
MeanAnnualPrec.
Xeric
Scenario B2
y = 564.3 − 2.53·e−8 * year ^ 1.0
Methods | Climatic scenarios (precipitation)
2020 2040 2060 2080 2100
6007008009001000
Year
MeanAnnualPrec.
Humid
Scenario A2
y = 806.2 − 0.0009 * year ^ 2.63
2020 2040 2060 2080 2100
6007008009001000
YearMeanAnnualPrec.
Humid
Scenario B2
y = 806.2 − 0.4773 * year ^ 0.92
2020 2040 2060 2080 2100
500600700800900
Year
MeanAnnualPrec.
Mesic
Scenario A2
y = 714.2 − 0.0227 * year ^ 1.91
2020 2040 2060 2080 2100
500600700800900
Year
MeanAnnualPrec.
Mesic
Scenario B2
y = 714.2 − 4.286 * year ^ 0.60
2020 2040 2060 2080 2100
400500600700800
MeanAnnualPrec.
Xeric
Scenario A2
y = 564.3 − 5.1·e−6 * year ^ 3.62
2020 2040 2060 2080 2100
400500600700800
MeanAnnualPrec.
Xeric
Scenario B2
y = 564.3 − 2.53·e−8 * year ^ 1.0
- 142 mm

(14.8%)
- 52 mm
(3.7%)
- 121 mm

(17.0%)
- 63 mm

(8.7%)
-64 mm

(10.3%)
- 1.0 mm

(0.1%)
Methods | Climatic scenarios (precipitation)
Modelling forest dynamics | SORTIE-ND
Modelling forest dynamics | SORTIE-ND
JABOWA
(Botkin et al. 1972)
SORTIE
Canham et al. (1996)
FORET
(Shugar and West, 1977)
SORTIE-ND: spatially-explicit, individually-based model
Lines, 2012
Modelling forest dynamics | SORTIE-ND
Allometry & resources Growth
Mortality Dispersal & recruitment
Climate change
Modelling forest dynamics | SORTIE-ND
Allometry & resources Growth
Mortality Dispersal & recruitment
Climate change
Modelling forest dynamics | SORTIE-ND
Gomez-Aparicio et al. 2011; Glob. Cha. Biol.
Modelling water balance | medfate wbm
VEGETATION



Forest structure
from SORTIE-ND
SOIL



Two layers

50 cm depth

Loamy texture
10-15% rock
LAI
Soil water holding
capacity
PET
CLIMATE

Rainfall
Interception
Surface run-off
Soil water content
Soil water potential
Transpiration
Evaporation
Whole plant

conductance
Modelling water balance | medfate wbm
Rainfall	
Intercep.on	
Evapora.on	
Deep	drainage	
Bare	soil	
evapora.on	
Plant	transpira.on	
Percola.on	
Soil	infiltra.on	Runoff
Methods | Modelling approach
Methods | Modelling approach
Methods | Modelling approach
38
3
72 ini cond.

(10 rep)
NoCC CCB2 CCA2
20
40
60
20
40
60
20
40
60
PlotAPlotBPlotC
0 25 50 75 100 0 25 50 75 100 0 25 50 75 100
Year
BasalArea(m2·ha−1)
Intensity
00
10
20
30
40
50
60
70
Type
Low
Results | Can we predict forest dynamics?
NoCC CCB2 CCA2
20
30
40
50
20
30
40
50
20
30
40
50
PlotAPlotBPlotC
0 25 50 75 100 0 25 50 75 100 0 25 50 75 100
Year
Meanquadraticdiameter(cm)
Intensity
00
10
20
30
40
50
60
70
Type
Low
Results | Can we predict forest dynamics?
Results | Can we predict forest dynamics?
Results | Effects on forest production
Results | Effects on forest growth (duration)
Humid Mesic Xeric
30
40
50
0 20 40 60 0 20 40 60 0 20 40 60
Bluewater(%)
Climate
NoCC
CCB2
CCA2
Humid Mesic Xeric
0.8
A
B
30
0 20 40 60 0 20 40 60 0 20 40 60
Blue
Humid Mesic Xeric
0.0
0.2
0.4
0.6
0.8
0 20 40 60 0 20 40 60 0 20 40 60
Thinning intensity (%)
Stressindex
B
Results | Effects on water balance (blue water)
0 20 40 60 0 20 40 60 0 20 40 60
Humid Mesic Xeric
0.0
0.2
0.4
0.6
0.8
0 20 40 60 0 20 40 60 0 20 40 60
Thinning intensity (%)
Stressindex
B
Results | Effects on drought stress
Humid Mesic Xeric
30
40
50
0 20 40 60 0 20 40 60 0 20 40 60
Bluewater(%)
Climate
NoCC
CCB2
CCA2
Humid Mesic Xeric
0.8
A
B
Humid Mesic Xeric
30
40
50
70 80 90 100 110 70 80 90 100 110 70 80 90 100 110
Bluewater(%)
Thinning
intensity
0
10
20
30
40
50
60
70
Climate
NoCC
CCB2
CCA2
Humid Mesic Xeric
0.0
0.2
0.4
0.6
0.8
70 80 90 100 110 70 80 90 100 110 70 80 90 100 110
Final basal area (%)
Stressindex
A
B
Results | Trade-offs
Conclusions
➤ Trade-off between production and
improvement in water status
Conclusions
➤ Trade-off between production and
improvement in water status
➤ Trade-off site and climate-dependent
Conclusions
➤ Trade-off between production and
improvement in water status
➤ Trade-off site and climate-dependent
➤ Simultaneous gain only possible at
humid sites or mesic sites (NoCC)
Conclusions
➤ Trade-off between production and
improvement in water status
➤ Trade-off site and climate-dependent
➤ Simultaneous gain only possible at
humid sites or mesic sites (NoCC)
➤ Thinning interesting to increase
resistance to drought in xeric sites
Conclusions
➤ Trade-off between production and
improvement in water status
➤ Trade-off site and climate-dependent
➤ Simultaneous gain only possible at
humid sites or mesic sites (NoCC)
➤ Thinning interesting to increase
resistance to drought in xeric sites
➤ In mesic sites, compromise between
production and water management
Conclusions
➤ Trade-off between production and
improvement in water status
➤ Trade-off site and climate-dependent
➤ Simultaneous gain only possible at
humid sites or mesic sites (NoCC)
➤ Thinning interesting to increase
resistance to drought in xeric sites
➤ In mesic sites, compromise between
production and water management
➤ Under severe CC, very heavy thinning
needed
Conclusions
➤ Trade-off between production and
improvement in water status
➤ Trade-off site and climate-dependent
➤ Simultaneous gain only possible at
humid sites or mesic sites (NoCC)
➤ Thinning interesting to increase
resistance to drought in xeric sites
➤ In mesic sites, compromise between
production and water management
➤ Under severe CC, very heavy thinning
needed
➤ In some cases, not enough (species
substitution?)
Conclusions
➤ Trade-off between production and
improvement in water status
➤ Trade-off site and climate-dependent
➤ Simultaneous gain only possible at
humid sites or mesic sites (NoCC)
➤ Thinning interesting to increase
resistance to drought in xeric sites
➤ In mesic sites, compromise between
production and water management
➤ Under severe CC, very heavy thinning
needed
➤ In some cases, not enough (species
substitution?)
➤ No general recipes
Conclusions
GRÀCIES!
ameztegui@gmail.com
Results | Duration of the effects on blue water
Humid Mesic Xeric
0
20
40
60
0 20 40 60 0 20 40 60 0 20 40 60
T50,BW(years)
Climate
NoCC
CCB2
CCA2
Humid Mesic Xeric
75
A
B
0 20 40 60 0 20 40 60 0 20 40 60
Humid Mesic Xeric
0.0
0.2
0.4
0.6
0.8
0 20 40 60 0 20 40 60 0 20 40 60
Thinning intensity (%)
Stressindex
B
Results | Duration of the effects on drought stress0
0 20 40 60 0 20 40 60 0 20 40 60
Humid Mesic Xeric
0
25
50
75
0 20 40 60 0 20 40 60 0 20 40 60
Thinning intensity (%)
T50,stress(years)
B

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Managing stand density to enhnce the adaptability of Scots pine to climate change: a modelling approach

  • 1. Managing stand density to enhance the adaptability of Scots pine stands to climate change: a modelling approach A.Ameztegui, A. Cabon, M. de Cáceres, L. Coll
  • 7. Introduction | The recipe ➤ ↑ timber quality
  • 8. Introduction | The recipe ➤ ↑ timber quality ➤ ↓ Interception losses 
 (↑ infiltration)
  • 9. Introduction | The recipe ➤ ↑ timber quality ➤ ↓ Interception losses 
 (↑ infiltration) ➤ ↓ Stand transpiration
  • 10. Introduction | The recipe ➤ ↑ timber quality ➤ ↓ Interception losses 
 (↑ infiltration) ➤ ↓ Stand transpiration ➤ Available water apportioned among fewer trees
  • 11. Introduction | The recipe ➤ ↑ timber quality ➤ ↓ Interception losses 
 (↑ infiltration) ➤ ↓ Stand transpiration ➤ Available water apportioned among fewer trees Positive effect on:
  • 12. Introduction | The recipe ➤ ↑ timber quality ➤ ↓ Interception losses 
 (↑ infiltration) ➤ ↓ Stand transpiration ➤ Available water apportioned among fewer trees Positive effect on: ➤ ↑ tree vigour
  • 13. Introduction | The recipe ➤ ↑ timber quality ➤ ↓ Interception losses 
 (↑ infiltration) ➤ ↓ Stand transpiration ➤ Available water apportioned among fewer trees Positive effect on: ➤ ↑ tree vigour ➤ ↑ WUE
  • 14. Introduction | The recipe ➤ ↑ timber quality ➤ ↓ Interception losses 
 (↑ infiltration) ➤ ↓ Stand transpiration ➤ Available water apportioned among fewer trees Positive effect on: ➤ ↑ tree vigour ➤ ↑ WUE ➤ ↑resilience to drought events
  • 15. Introduction | The recipe ➤ ↑ timber quality ➤ ↓ Interception losses 
 (↑ infiltration) ➤ ↓ Stand transpiration ➤ Available water apportioned among fewer trees Positive effect on: ➤ ↑ tree vigour ➤ ↑ WUE ➤ ↑resilience to drought events ➤ ↑ soil water content
  • 18. Introduction | The problem Transient effects
 
 

  • 19. Introduction | The problem Transient effects
 
 
 Dependent on site, 
 thinning regime
 climatic scenario
  • 20. Introduction | The problem Difficult long-term experiments Impossible to assess future climate
  • 21. Introduction | Our suggestion SORTIE-ND medfate
 (swb) mmwater 2011 2012 2013 020406080 Rainfall PET mmwater 2011 2012 2013 0123 Total evaporation Plant ET Bare soil E Watercontent(%vol) 2011 2012 2013 0.00.10.20.30.40.5 Predicted Measurements (6 CS616 probes, 0−30 cm, mean+/−1.96se)
  • 23. ➤ Can we predict the post-thinning dynamics?
 Our objectives
  • 24. ➤ Can we predict the post-thinning dynamics?
 ➤ Effect of several factors ➤ Initial site conditions ➤ Climate scenario ➤ Thinning regime
 Our objectives
  • 25. ➤ Can we predict the post-thinning dynamics?
 ➤ Effect of several factors ➤ Initial site conditions ➤ Climate scenario ➤ Thinning regime
 ➤ On several variables ➤ Forest production ➤ Water balance (blue water) ➤ Tree drought stress Our objectives
  • 26. ➤ Can we predict the post-thinning dynamics?
 ➤ Effect of several factors ➤ Initial site conditions ➤ Climate scenario ➤ Thinning regime
 ➤ On several variables ➤ Forest production ➤ Water balance (blue water) ➤ Tree drought stress Our objectives Trade-offs
  • 27. Methods | Case study Pinus sylvestris
 (Scots pine) ➤ 240,000 ha (17%) ➤ 2/3 monospecific ➤ 160,000 m3 timber (25%)
  • 28. Methods | Case study Pinus sylvestris
 (Scots pine)
  • 29. Methods | Case study Pinus sylvestris
 (Scots pine) Foto: M. Beltrán Foto: T. Valor Foto: S.Martín
  • 30. Humid SiteTemp 8.7 Precip 828 Martonne 44.3 Mesic SiteTemp 12.0 Precip 714. Martonne 32.5 Xeric Site Temp 12.5 Precip 564. Martonne 25.1 Methods | Initial conditions Pinus sylvestris
 (Scots pine)
  • 31. Humid SiteTemp 8.7 Precip 828 Martonne 44.3 Mesic SiteTemp 12.0 Precip 714. Martonne 32.5 Xeric Site Temp 12.5 Precip 564. Martonne 25.1 Methods | Initial conditions Pinus sylvestris
 (Scots pine)
  • 33. Methods | Thinning regime Control -10% AB -20% AB -30% AB -40% AB -50% AB -60% AB -70% AB
  • 34. 2020 2040 2060 2080 2100 891011121314 Year MeanAnnualTemp. Humid Scenario A2 y = 9.0 + 0.0277 * year ^ 1.125 2020 2040 2060 2080 2100 891011121314 YearMeanAnnualTemp. Humid Scenario B2 y = 9.0 + 0.0916 * year ^ 0.728 2020 2040 2060 2080 2100 11121314151617 Year MeanAnnualTemp. Mesic Scenario A2 y = 12.0 + 0.0327 * year ^ 1.086 2020 2040 2060 2080 2100 11121314151617 Year MeanAnnualTemp. Mesic Scenario B2 y = 12.0 + 0.1015 * year ^ 0.709 2020 2040 2060 2080 2100 11121314151617 MeanAnnualTemp. Xeric Scenario A2 y = 12.5 + 0.0550 * year ^ 0.964 2020 2040 2060 2080 2100 11121314151617 MeanAnnualTemp. Xeric Scenario B2 y = 12.5 + 0.1624 * year ^ 0.611 Methods | Climatic scenarios (temperature)
  • 35. 2020 2040 2060 2080 2100 891011121314 Year MeanAnnualTemp. Humid Scenario A2 y = 9.0 + 0.0277 * year ^ 1.125 2020 2040 2060 2080 2100 891011121314 YearMeanAnnualTemp. Humid Scenario B2 y = 9.0 + 0.0916 * year ^ 0.728 2020 2040 2060 2080 2100 11121314151617 Year MeanAnnualTemp. Mesic Scenario A2 y = 12.0 + 0.0327 * year ^ 1.086 2020 2040 2060 2080 2100 11121314151617 Year MeanAnnualTemp. Mesic Scenario B2 y = 12.0 + 0.1015 * year ^ 0.709 2020 2040 2060 2080 2100 11121314151617 MeanAnnualTemp. Xeric Scenario A2 y = 12.5 + 0.0550 * year ^ 0.964 2020 2040 2060 2080 2100 11121314151617 MeanAnnualTemp. Xeric Scenario B2 y = 12.5 + 0.1624 * year ^ 0.611 + 4.6 ºC
 (47.8%) + 2.7 ºC (26.7%) + 4.3 ºC
 (35.8%) + 2.4 ºC
 (20.0%) + 4.2 ºC
 (33.6%) + 2.5 ºC
 (20.0%) Methods | Climatic scenarios (temperature)
  • 36. 2020 2040 2060 2080 2100 6007008009001000 Year MeanAnnualPrec. Humid Scenario A2 y = 806.2 − 0.0009 * year ^ 2.63 2020 2040 2060 2080 2100 6007008009001000 YearMeanAnnualPrec. Humid Scenario B2 y = 806.2 − 0.4773 * year ^ 0.92 2020 2040 2060 2080 2100 500600700800900 Year MeanAnnualPrec. Mesic Scenario A2 y = 714.2 − 0.0227 * year ^ 1.91 2020 2040 2060 2080 2100 500600700800900 Year MeanAnnualPrec. Mesic Scenario B2 y = 714.2 − 4.286 * year ^ 0.60 2020 2040 2060 2080 2100 400500600700800 MeanAnnualPrec. Xeric Scenario A2 y = 564.3 − 5.1·e−6 * year ^ 3.62 2020 2040 2060 2080 2100 400500600700800 MeanAnnualPrec. Xeric Scenario B2 y = 564.3 − 2.53·e−8 * year ^ 1.0 Methods | Climatic scenarios (precipitation)
  • 37. 2020 2040 2060 2080 2100 6007008009001000 Year MeanAnnualPrec. Humid Scenario A2 y = 806.2 − 0.0009 * year ^ 2.63 2020 2040 2060 2080 2100 6007008009001000 YearMeanAnnualPrec. Humid Scenario B2 y = 806.2 − 0.4773 * year ^ 0.92 2020 2040 2060 2080 2100 500600700800900 Year MeanAnnualPrec. Mesic Scenario A2 y = 714.2 − 0.0227 * year ^ 1.91 2020 2040 2060 2080 2100 500600700800900 Year MeanAnnualPrec. Mesic Scenario B2 y = 714.2 − 4.286 * year ^ 0.60 2020 2040 2060 2080 2100 400500600700800 MeanAnnualPrec. Xeric Scenario A2 y = 564.3 − 5.1·e−6 * year ^ 3.62 2020 2040 2060 2080 2100 400500600700800 MeanAnnualPrec. Xeric Scenario B2 y = 564.3 − 2.53·e−8 * year ^ 1.0 - 142 mm
 (14.8%) - 52 mm (3.7%) - 121 mm
 (17.0%) - 63 mm
 (8.7%) -64 mm
 (10.3%) - 1.0 mm
 (0.1%) Methods | Climatic scenarios (precipitation)
  • 39. Modelling forest dynamics | SORTIE-ND JABOWA (Botkin et al. 1972) SORTIE Canham et al. (1996) FORET (Shugar and West, 1977) SORTIE-ND: spatially-explicit, individually-based model Lines, 2012
  • 40. Modelling forest dynamics | SORTIE-ND Allometry & resources Growth Mortality Dispersal & recruitment Climate change
  • 41. Modelling forest dynamics | SORTIE-ND Allometry & resources Growth Mortality Dispersal & recruitment Climate change
  • 42. Modelling forest dynamics | SORTIE-ND Gomez-Aparicio et al. 2011; Glob. Cha. Biol.
  • 43. Modelling water balance | medfate wbm VEGETATION
 
 Forest structure from SORTIE-ND SOIL
 
 Two layers
 50 cm depth
 Loamy texture 10-15% rock LAI Soil water holding capacity PET CLIMATE
 Rainfall Interception Surface run-off Soil water content Soil water potential Transpiration Evaporation Whole plant
 conductance
  • 44. Modelling water balance | medfate wbm Rainfall Intercep.on Evapora.on Deep drainage Bare soil evapora.on Plant transpira.on Percola.on Soil infiltra.on Runoff
  • 47. Methods | Modelling approach 38 3 72 ini cond.
 (10 rep)
  • 48. NoCC CCB2 CCA2 20 40 60 20 40 60 20 40 60 PlotAPlotBPlotC 0 25 50 75 100 0 25 50 75 100 0 25 50 75 100 Year BasalArea(m2·ha−1) Intensity 00 10 20 30 40 50 60 70 Type Low Results | Can we predict forest dynamics?
  • 49. NoCC CCB2 CCA2 20 30 40 50 20 30 40 50 20 30 40 50 PlotAPlotBPlotC 0 25 50 75 100 0 25 50 75 100 0 25 50 75 100 Year Meanquadraticdiameter(cm) Intensity 00 10 20 30 40 50 60 70 Type Low Results | Can we predict forest dynamics?
  • 50. Results | Can we predict forest dynamics?
  • 51. Results | Effects on forest production
  • 52. Results | Effects on forest growth (duration)
  • 53. Humid Mesic Xeric 30 40 50 0 20 40 60 0 20 40 60 0 20 40 60 Bluewater(%) Climate NoCC CCB2 CCA2 Humid Mesic Xeric 0.8 A B 30 0 20 40 60 0 20 40 60 0 20 40 60 Blue Humid Mesic Xeric 0.0 0.2 0.4 0.6 0.8 0 20 40 60 0 20 40 60 0 20 40 60 Thinning intensity (%) Stressindex B Results | Effects on water balance (blue water)
  • 54. 0 20 40 60 0 20 40 60 0 20 40 60 Humid Mesic Xeric 0.0 0.2 0.4 0.6 0.8 0 20 40 60 0 20 40 60 0 20 40 60 Thinning intensity (%) Stressindex B Results | Effects on drought stress Humid Mesic Xeric 30 40 50 0 20 40 60 0 20 40 60 0 20 40 60 Bluewater(%) Climate NoCC CCB2 CCA2 Humid Mesic Xeric 0.8 A B
  • 55. Humid Mesic Xeric 30 40 50 70 80 90 100 110 70 80 90 100 110 70 80 90 100 110 Bluewater(%) Thinning intensity 0 10 20 30 40 50 60 70 Climate NoCC CCB2 CCA2 Humid Mesic Xeric 0.0 0.2 0.4 0.6 0.8 70 80 90 100 110 70 80 90 100 110 70 80 90 100 110 Final basal area (%) Stressindex A B Results | Trade-offs
  • 57. ➤ Trade-off between production and improvement in water status Conclusions
  • 58. ➤ Trade-off between production and improvement in water status ➤ Trade-off site and climate-dependent Conclusions
  • 59. ➤ Trade-off between production and improvement in water status ➤ Trade-off site and climate-dependent ➤ Simultaneous gain only possible at humid sites or mesic sites (NoCC) Conclusions
  • 60. ➤ Trade-off between production and improvement in water status ➤ Trade-off site and climate-dependent ➤ Simultaneous gain only possible at humid sites or mesic sites (NoCC) ➤ Thinning interesting to increase resistance to drought in xeric sites Conclusions
  • 61. ➤ Trade-off between production and improvement in water status ➤ Trade-off site and climate-dependent ➤ Simultaneous gain only possible at humid sites or mesic sites (NoCC) ➤ Thinning interesting to increase resistance to drought in xeric sites ➤ In mesic sites, compromise between production and water management Conclusions
  • 62. ➤ Trade-off between production and improvement in water status ➤ Trade-off site and climate-dependent ➤ Simultaneous gain only possible at humid sites or mesic sites (NoCC) ➤ Thinning interesting to increase resistance to drought in xeric sites ➤ In mesic sites, compromise between production and water management ➤ Under severe CC, very heavy thinning needed Conclusions
  • 63. ➤ Trade-off between production and improvement in water status ➤ Trade-off site and climate-dependent ➤ Simultaneous gain only possible at humid sites or mesic sites (NoCC) ➤ Thinning interesting to increase resistance to drought in xeric sites ➤ In mesic sites, compromise between production and water management ➤ Under severe CC, very heavy thinning needed ➤ In some cases, not enough (species substitution?) Conclusions
  • 64. ➤ Trade-off between production and improvement in water status ➤ Trade-off site and climate-dependent ➤ Simultaneous gain only possible at humid sites or mesic sites (NoCC) ➤ Thinning interesting to increase resistance to drought in xeric sites ➤ In mesic sites, compromise between production and water management ➤ Under severe CC, very heavy thinning needed ➤ In some cases, not enough (species substitution?) ➤ No general recipes Conclusions
  • 66. Results | Duration of the effects on blue water Humid Mesic Xeric 0 20 40 60 0 20 40 60 0 20 40 60 0 20 40 60 T50,BW(years) Climate NoCC CCB2 CCA2 Humid Mesic Xeric 75 A B 0 20 40 60 0 20 40 60 0 20 40 60 Humid Mesic Xeric 0.0 0.2 0.4 0.6 0.8 0 20 40 60 0 20 40 60 0 20 40 60 Thinning intensity (%) Stressindex B
  • 67. Results | Duration of the effects on drought stress0 0 20 40 60 0 20 40 60 0 20 40 60 Humid Mesic Xeric 0 25 50 75 0 20 40 60 0 20 40 60 0 20 40 60 Thinning intensity (%) T50,stress(years) B