Long-term monitoring of tropical logged forests
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Transcript of Long-term monitoring of tropical logged forests
Sentinel Landscapes
Bogor 30/09-01/10/11
Long-term monitoring of tropical logged
forests
Alain Billand, with Sylvie Gourlet-Fleury and Plinio Sist
Cirad
Research Unit « Tropical forest goods and services »
A network of evergreen forest plots,
involving Amazonia, Africa and South
East Asia
Réalisation G. Cornu
Sentinel Landscapes
Bogor 30/09-01/10/11
N. Fauvet CIRAD-Forêt 1999 Source : Unasylva, FAO
Equateur
Tropique du Cancer
Tropique du Capricorne
Paracou (Cirad,
French Guiana)
Oyan (Iraf, Gabon)
A network of research sites
in natural tropical forests
Mopri, Téné, Irobo
(Idefor, Ivory Coast)
MBaïki (Icra, MEFCP, RCA)
STREK (Inhutani I, MF, Indonesia)
BULUNGAN (Inhutani II, MF, Indonesia
ZF2 (Inpa, Brazil)
Sentinel Landscapes
Bogor 30/09-01/10/11
Ecology : prediction of changes in structure,
floristic composition and genetic diversity
Inter-action between ecology and economy :
To determine the modalities and intensity of
logging compatible with the long-term supply
of timber
Prediction of changes in biomass: To take
account of climate change in logging norms
and standards : optimize carbon DD
(mitigation), design forest norms adapted to
expected CC (adaptation)
General objectives :
Similar protocols : initial untouched forests, controled logging, variable intensities, and untouched control plots
Photo F. Bouchet-Lannat
Sentinel Landscapes
Bogor 30/09-01/10/11
Tools
Genetics, Molecular tools
(PCR-RFLP, RAPD,
microsatellites …)
ADN
chloroplastique
ADN
nucléaire
Models and simulation
platforms
0,0
0,2
0,4
0,6
0,8
1,0
1,21
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24
20
26
Years
Nu
mb
er
of
tre
es
>=
60
cm
db
h (
/ha
)
SB (observed)
StoMat(1)
StoMat(2)
Angélique and
near neighbors
Experimental sites:
surveys, databases, GIS,
soils, water, light, T°
Sentinel Landscapes
Bogor 30/09-01/10/11
Experimental designs
Area surveyed annually or every two years: 94 ha (+ 25 ha) : ~ 73 000 trees
3 types of silvicultural treatments
Area surveyed annually : 40 ha : ~ 23 000 trees
2 types of silvicultural treatments
N
Paracou (1984 -Cirad)
Mbaïki (1982 - ICRA, MEFCP, AFD, Cirad)
Sentinel Landscapes
Bogor 30/09-01/10/11
Experimental designs
STREK (1989-1997)
RKL 1:
6 plots 4 ha each
Post-logging silviculture (15 years)
RKL4:
12 plots 4 ha each
6 Plots with RIL (2 MDC50cm, 3 MDC
60 cm)
Every tree dbh 10 cm
BULUNGAN (1997-Present)
2 Blocks ~100 ha each
1 Block with RIL
1 block with CNV
In Each Block: 12 plots, 3 control, 1
ha each
Logging intensity varying from low
(< 6); medium (6-9) and high (9
trees/ha)
Every tree dbh 20 cm
Sentinel Landscapes
Bogor 30/09-01/10/11
Modelling tools
Types of models
Distribution based models (Usher matrices)
• Density-dependent: Paracou (Favrichon 1995), Mbaïki, STREK (Favrichon &
Young-Cheol, 1998, Sist & al., 2004)
• Density-independent: Paracou (Gourlet-Fleury & al., 2004), Mbaïki (in prep.)
Single tree models
• Distance dependent: Paracou (Gourlet-Fleury, 1997)
• Distance independent (gap): Paracou (Picard, 1999)
Softwares
CAPSIS (http://capsis.free.fr), object-oriented environment developed by INRA,
hosting various forest dynamics and stand growth and yield models. Hosts Selva,
a tree-based distance dependent model developed by Cirad
StoMat, user-friendly software which runs density-independent matrix models
Sentinel Landscapes
Bogor 30/09-01/10/11
In Indonesia: do RIL techniques lower the level of damages in the stand? Are results from Bulungan coherent with results from STREK?
Some results : monitoring logging damages
y = 4,5x + 3,8
0
10
20
30
40
50
60
70
80
3 4 5 6 7 8 9 10 11 12 13
% o
f tr
ee d
am
ag
ed
y = 1,9x - 2,0
0
5
10
15
20
25
30
3 4 5 6 7 8 9 10 11 12 13
% c
an
op
y o
pen
ing
Felling intensity (n/ha)
Canopy opening
Damages to trees BULUNGAN
48.4 % 30.5 %
48.8 % 34.6 %
0
5
10
15
20
25
30
35
CNV EFI
0
5
10
15
20
25
30
35
CNV RIL
% o
f o
rig
ina
l tr
ee p
op
ula
tio
n
Felling
Skidding
STREK
BULUNGAN
Skidding Felling
In mixed dipterocarp forests, the capacity of RIL to
reduce damage to the stand is limited by logging
intensity (N> 8 trees/ha)
Sentinel Landscapes
Bogor 30/09-01/10/11
In Indonesia: how does logging impact the dynamics parameters of stand and group of species? Results from STREK (RKL4)
Impact of logging on forest dynamics
3,7
1,6 1,6
2,5
1,9 1,7
1,3 1,5
0
0,5
1
1,5
2
2,5
3
3,5
4
2 4 Years after logging
mort
alit
y %
/yr
G2: 70-80 % (8/ha)
G1: 80 % (6/ha)
G3: <70% (14/ha)
G0
Mortality
0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
0,8
2 4Years after logging
cm
/year
Diameter increment
S1: pioneers, eg Macaranga spp.,
Anthocephalus chinensis
S2: Dipterocarps except Vatica
S3: other species 0
5
10
15
20
25
30
35
Pioneers Dipt. Others Total
n/ha
/yea
r
Recruitment
Sources: Nguyen-Thé et al. 1998, Sist & Nguyen-thé 2002
Sentinel Landscapes
Bogor 30/09-01/10/11
In Indonesia: can we give recommendations in order to achieve sustainable timber management? (Simulations with a density dependent matrix model)
Modeling felling cycles
Stationary harvested volume, 3rd cycle:
35 m3/ha (G1)
41 m3/ha (G2
36 m3/ha (G3)
MEAN STANDING COMMERCIAL VOLUME
UNDER A 35 YEAR CYCLE REGIME
0
50
100
150
200
0 35 70 105 140 175 210 245 280 315 350 385
Years
m3/h
aG1
G2
G3
Harvested volume at 1rst cycle:
44 m3/ha (G1, 6 trees/ha)
78 m3/ha (G2, 8 trees/ha)
130 m3/ha (G3, 14 trees/ha)
Source: Sist et al. 2003
Sentinel Landscapes
Bogor 30/09-01/10/11
1999 2299 (300 yrs)
2599 (600 yrs) 2899 (900 yrs)
Modelling long term tree regeneration and dissimination
F. Guyana, Angélique/main commercial specie
Sentinel Landscapes
Bogor 30/09-01/10/11
Predict sustainability of timber yields
N. Fauvet CIRAD-Forêt 1999 Source : Unasylva, FAO
Equateur
Tropique du Cancer
Tropique du Capricorne
Harvested volume at 1rst cycle (/ha): 20 m3
Max. 13% of timber volume recovered, low long-term recovery
rates and high uncertainties
Mbaïki
1980 2000 2020 2040 2060 2080 2100
0.0
0.5
1.0
1.5
2.0
Year
Num
ber
of
trees
80 c
m d
bh (
ha
1)
Felling cycle: 30 years
Time needed to recover trees ≥ 80 cm dbh: at least 100 years
Lobaye (Central African Republic) – Entandrophragma cylindricum (Picard et al.,
2008, Gourlet-Fleury et al., unpublished results)
Sentinel Landscapes
Bogor 30/09-01/10/11 Source: Gourlet-Fleury et al. 2005
Monitor impact of logging on tree genetics In French Guiana: is the present felling regime (all trees 60 cm dbh, every
40 years) sustainable for the first commercial species (Dicorynia guianensis)? (Simulations with a tree-based distance dependent model, Selva)
Allelic richness
3
4
5
6
7
8
27 111
195
279
363
447
531
615
699
783
867
Années
Ao
Exploité
Non exploité
0,5
0,55
0,6
0,65
0,7
27 111
195
279
363
447
531
615
699
783
867
Années
H d
e N
ei
Exploité
Non exploité
Diversity (H de Nei)
Genetic diversity
viewpoint
Demographic
viewpoint
0,0
2,0
4,0
6,0
8,0
10,0
12,0
14,0
0 45 90 135
180
225
270
315
360
405
450
495
540
585
630
675
720
765
810
855
900
Années
Eff
ec
tif
>=
10
cm
db
h
0
0,2
0,4
0,6
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1
1,2
1,4
1,6
0 45 90 135
180
225
270
315
360
405
450
495
540
585
630
675
720
765
810
855
900
Années
Eff
ec
tif
>=
60
cm
db
h
Sentinel Landscapes
Bogor 30/09-01/10/11 Source: Sist et al. 2003
Balance logging intensity v/s logging cycle
In Indonesia: what would be the shortest sustainable felling cycle for a given logging intensity?
Shortest felling cycle and corresponding mean annual volume:
27 years, 1.6 m3/ha (G1)
41 years, 1.8 m3/ha (G2)
89 years, 1.4 m3/ha (G3)
0
20
40
60
80
100
120
140
160
180
200
2 3 4 5 6 7 8 9 10 11 12 13 14
Logging intensity n/ha
rota
tion
len
gth
(years
) tsust = 10,2 e0,162*LI
On a mean basis, a logging intensity of 8 stems/ha would yield 67m3/ha
every 42 years = 1,6 m3/ha/an and should be recommended
Sentinel Landscapes
Bogor 30/09-01/10/11 Source: Gourlet-Fleury et al. 2004
Recovery of trees/species after logging In French Guiana: how does the commercial timber stock of species recover
after logging? Can silvicultural treatments fasten the recovery? How will the floristic composition evolve?
0
0,05
0,1
0,15
0,2
0,25
0,3
0,35
0,4
0,45
0,5
1984/1986 1989/1991 1991/1993 1993/1995 1995/1997 1997/1999 1999/2001 2001/2003
Périodes
DD
(cm
/an
)
∆D0
∆D1
∆D2
∆D3
Espèces principales (58 EGE)
0
5
10
15
20
25
30
35
40
45
50
1984
84/8
5
85/8
6
86/8
7
87/8
8
88/8
9
89/9
0
90/9
1
91/9
2
92/9
3
93/9
4
94/9
5
95/9
6
96/9
7
97/9
8
98/9
9
99/0
0
00/0
1
01/0
2
Années
Eff
ecti
f re
cru
té (
/ha)
T0 T1 T2 T3
Diameter increment
Recruitment
Stock recovery
Sentinel Landscapes
Bogor 30/09-01/10/11
The number of exploitable trees (4 trees/ha, 66 m3/ha) cannot be recovered
within 40 years (around 75% could, less than 70% within 30 years). Thinning
the stands should allow it
In Republic of Central Africa (simulations with a density independent matrix model, StoMat)
Recovery of forests stands
0,0
5,0
10,0
15,0
20,0
25,0
30,0
35,0
40,0
19
82
19
83
19
84
19
85
19
86
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88
19
89
19
90
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19
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19
98
Années
Su
rfac
e te
rriè
re >
= 1
0 c
m d
bh
(m2
/ha)
Témoins
Exploitées
Exp./éclaircies
A serious problem will occur with Entandrophragma cylindricum (Sapelli) and
Triplochiton scleroxylon (Ayous). Resp. 15% and 42% recovered within 30 years
0,00
0,20
0,40
0,60
0,80
1,00
1,20
1,40
1,60
1,80
1984 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39
Year
Nu
mb
er
of t
ree
s >
= 8
0 c
m d
bh
(/h
a)
Logged (observed)
Mean (predicted)
Entandrophragma cylindricum (Mbaïki) - Logging intensity 90%
Sapelli Mbaïki (>= 10 cm)
0,0
1,0
2,0
3,0
4,0
5,0
6,0
7,0
0 2 4 6 8 10 12
Nombre de cycles (30 ans)
Eff
ecti
f to
tal >= 1
0 c
m d
bh
(/h
a)
Entandrophragma cylindricum ( Mbaïki). Logging intensity
90%
0,0
0,2
0,4
0,6
0,8
1,0
1,2
1,4
1,6
1,8
0 2 4 6 8 10 12
Number of felling cycles (30 years)
Nu
mb
er
of t
ree
s >
= 8
0 c
m d
bh
(/h
a)
Sentinel Landscapes
Bogor 30/09-01/10/11
The role of large trees
Large trees play a major part in stocks loss, but also
recovery
Example in Para (Brazil, Cikel Verde)
Mazzei de Freitas et al. (2010)
Trees ≥ 60 cm dbh = 30% of standing
volume
Sentinel Landscapes
Bogor 30/09-01/10/11
Recovery of carbon stocks
Carbon stocks recover, but dynamics similar to
commercial stocks => felling cycles too short
Blanc et al. (2009)
12 years 50 years
Paracou (French Guiana)
Sentinel Landscapes
Bogor 30/09-01/10/11
New/Recent initiatives in Central Africa
Coforchange (5y, mid
term):
4000 y forest/climate history
4.5 million ha of forest
inventories /300 sp
Edaphic conditions (soil,
water, temperature, etc.)
Improve logging norms
Dynafor (just starting)
A range of new large scale
plots (2 x 400 ha)
Sampling diversity of Congo
Basin forests
Involvement of logging
companies
Design small scale research
activities in concessions
Sentinel Landscapes
Bogor 30/09-01/10/11
New logging practices, better adapted to
forest ecology : Number of exploitable trees,
Duration of felling Cycle (cf Fr Guyana 30-
>60 y)
Measure impact of reduced impact logging
Promote sylviculture/ Thinning (shortening of
felling cycles by 10 to 20y)
Maintenance/protection of genetic pools
Special attention on selected logged species
(fragile, endanged, rare, endemic, etc.)
Compensation through REDD+ ?
Some results : support to decision-making,
design of tools , laws, norms
Sentinel Landscapes
Bogor 30/09-01/10/11
Scale of plots
PSP are essential:
We need some « heavy » PSP to benefit from long-term data series and quantify trends
We also need many lighter PSP in order to quantify the variability of the dynamics parameters and to adapt models to local conditions
A need to undertake a detailed compared analysis of results issued from existing PSP: this could help identify general trends in the reaction of populations and stands to the disturbances linked to logging
Better use of simple or complex models to make predictions
Complex and detailed models remain essential to explore long-term scenarios and identify critical thresholds
Photo J.-G. Jourget
Sentinel Landscapes
Bogor 30/09-01/10/11
Feasibility
Choice of sites: decisive, needs careful, long
sampling based on state of the art data
Partnerships : (i) South : research with and by
national researchers + training from Bsc to PHd (ii)
North :networking, merging/optimising costs.
Public/private sectors, administrations, NGOs,
communities…
Funding and permanence issues : the constant
nightmare. Juggling with tiny bits. Diverting permanent funds… Financial
capacities : Developing v/s emerging countries
No research question with single sci. disciplin (ecology,
etc.) Always mix questions : ecology and economy,
ecology and sociology, etc.