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THINKING beyond the canopy
FORAFAMA
Carbon storage and logging activities: field
assessment in Central Africa
Denis J. Sonwa1; Shu Gideon Neba2, Njome Daniel3, Djomo Jocelyne3;
Valentina Robiglio4; Sufo Kankeu Richard1; Metet Arnauld3, Moankang Nkal
Noelle Marlene3, Eba’a Atyi Richard1
•  1. Center for International Forestry Research, Yaoundé Cameroon.
•  2. University of Helsinki (Finland)
•  3.University of Dschang (Cameroon)
•  4. IITA –Cameroon (Now ICRAF-Perou)
•  Corresponding Email d.sonwa@cgiar.org
Atelier de restitution finale sur le REDD+ dans les concessions forestières d’Afrique centrale et du Brésil (Projet
FORAFAMA : Appui à la Gestion Durable des Forêts du Bassin du Congo et du Bassin Amazonien du Brésil), H
Hôtel Mont Fébé, Yaoundé,18 Juin 2014
THINKING beyond the canopy
Plan
§  Background
§  Carbon stock assessment
• ètree-fall gaps
• èAnnual Allowable Cut (AAC)
• èDifferents logging regimes
§  Conclusion
* EDF 2008
Main focus:
REDD+ with the
perspective of achieving
sustainable management
of forest stands of the
Congo Basin
Background: Central Africa & Climate Change
Main land uses*
Slash & Burn Agriculture: 438.801 km²
Biodiversity Conservation (Protected Areas): 444.970 km²
Logging (concessions); 595.380 km²
è Several activities on Biodiversity Conservation & REDD+
but Few (including research) on Logging & REDD+
Country Production in 2007(m3)
Cameroon 2 296 254
Gabon 3 350 670
Congo 1 330 980
RCA 537 998
DRC 310 000
Equatorial Guinea 524 799
Total Central Africa 8 350 701
Timber production in Central Africa*
*EDF 2008
è Biomass harvested as timber
è On-site logging damage
è Biomass destruction linked to forest management activities around/
periphery of exploitation sites, etc..
Forest exploitation & CC
Country Annual
Deforestation
(%)
Annual net
degradation
(%)
Cameroun 0.14 0.02
Gabon 0.09 0.07
Congo 0.02 0.01
RCA 0.06 0.02
DRC 0.20 0.12
Total Central Africa 0.16 0.09
Changes in Central Africa between 1990 and 2000 *
*EDF 2008
è Forest degradation usually linked to forest exploitation,
è But forest exploitation not necessarily the only factor of degradation
è Can also contribute indirectly to deforestation
è Need for more information on carbon stock and forest exploitation
Background: Forest exploitation & CC
THINKING beyond the canopy
Carbon Stocks & Forest exploitation
Periphery §  Carbon stocks in forest/
agricultural land mosaics
(ASB/IITA, TNS; CED)
§  In agro cocoa forests,
with timber sometimes
occupying an important
place (IITA)
§  In intact forests
(Tropenbos in Cameroon;
WCS/WWF/ CTFS in
ituri-RDC)
§  Etc…
Primary forest
Forest field
(IC/maleHH)
Bush fallow
(IC/maleHH)
Annual mixed
Food crop field
Cocoa
Agroforest
Short fallow
Long fallow
Secondary
forest
Principal land uses in the Southern
forest area of Cameroon*
* ASB (2002)
THINKING beyond the canopy
§  Winrock in Congo (CIB) (Carbon
damage C/Ha)
§  GAF, Pilote studies on the effect
of logging in Cameroon (biomas
damage/biomass removed in a certifiied & non-
certified forest concessions
*Certified company (Pallisco) &
*Non-certified Company (SCTB)
§  The work of Nicheu et al. on the
value chain from forest inventory
to the Sawmill (VICWOOD
THANRY),East Cameroon
èfew studies, need for more research!
Carbon stock & Logging
On-site, review !!!*
*Figure de GAF, Rapport REDD Cameroon
THINKING beyond the canopy
Table	
  1:	
  expression	
  of	
  damage	
  factor	
  
Comment : There is no significant difference between the two damage factors
Possible	
  justification	
  :	
  	
  The	
  sale	
  of	
  standing	
  volume	
  (under	
  conventional	
  logging	
  practices	
  )	
  and	
  
FMU	
  (SFM)	
  	
  are	
  owned	
  by	
  the	
  same	
  company.	
  
Carbon	
  stock	
  before	
  
logging	
  (tC)
Carbone	
  extracted	
  
(tC)	
  
(m3)
Carbon	
  
damaged	
  (tC)
Damage	
  factor	
  
	
  	
  	
  	
  
Forest	
  under	
  SFM	
  
10,91±	
  5,19	
  	
  
5,05	
  ±	
  3,07	
  	
  
	
  
(20,47	
  m3	
  ±	
  10,01) 5,86	
  ±	
  2,64
1,4	
  ±	
  0,63	
  
	
  
(0,33	
  ±	
  0,17	
  tc/m3)	
  
Forest	
  under	
  Sale	
  of	
  
standing	
  volume	
  
Regime
	
  	
  	
  	
  	
  	
  6,67	
  ±	
  3,82	
  
2,99	
  ±	
  1,77	
  
	
  	
  
(10,67	
  m3	
  ±	
  6,78) 3,70	
  	
  ±	
  2,64
1,33±	
  0,70	
  
	
  
(	
  037±	
  0,20	
  tc/m3)
Carbon stock: Impact in tree-fall gaps
THINKING beyond the canopy
Reconstitution of carbon stock faster in sustainable management planning than in conventional logging.
Comparaison	
  of	
  carbon	
  stocks
	
  
Logging	
  under	
  sustainable	
  management	
  
planning
Forest	
  under	
  Sale	
  of	
  standing	
  
volume	
  Regime
	
  
0	
  years	
  	
  
(unexploited)	
  
AAC9	
  (2011)
10	
  years	
  after	
  	
  
exploitation	
  AAC1	
  
(2001)
	
  0	
  years	
  (un	
  
exploited)
VC	
  04	
  (2011)
10	
  years	
  after	
  
exploitation
VC	
  02	
  (2001)
Carbon	
  pools n	
  =	
  16 n	
  =	
  9 n	
  =	
  14	
  (1,76	
  ha) n	
  =	
  7	
  	
  (8,80	
  ha)
Trees	
  (tC/ha) 222,52	
  ±	
  109,04 169,75	
  	
  ±	
  89,71 238,99±98,22 118,27±	
  81,45
Roots	
  (tC/ha) 41,14	
  ±	
  21,91 32,39	
  ±	
  18,44 43,82	
  ±	
  19,97 23,53	
  ±16,93
Undergrowth(tC/ha) 0,65	
  ±	
  0,17 0,65	
  ±0,13 0,69±0,17 0,47±0,17
Litter	
  (tC/ha) 1,29±	
  0,21 1,33±0,08 1,32±0,16 1,33±0,20
Dead	
  wood	
  (tC/ha) 35,36	
  ±	
  35,97 65,69	
  ±	
  51,05 19,33	
  ±	
  29,29 19,54±43,52
Soil	
  (tC/ha) 26,96	
  ±	
  10,65 50,17±	
  15,50 28,63±9,53 21,36±	
  4,15
Total 327,92	
  ±	
  177,	
  95 319,98	
  ±	
  123,86 332,78	
  ±157,34 184,5	
  ±	
  50
Post-logging carbon evolution
Carbon stock: Impact in tree-fall gaps
THINKING beyond the canopy
Results
Supervised classification with ArcGIS 10 & Erdas 2011 permitted to distincttively identify forest roads between
two years. In 2003, only the old primary is still visible but, Landsat 8 image discriminated forest gaps and roads
after forest exploitation in 2013
2003 2013
Impact in an annual allowable cut (AAC)
THINKING beyond the canopy
Results:
Log yard Primary roads Secondary roads Tertiary roads Skid trails Tree-felled gaps Quarry Total
BR BE BR BE BR BE Tree
trunk
Tree
crown
Surface area
d e s t r o y e d
(ha)	
  
2.54 7.35 11.09 3.82 5.56 1.95 3.4 16.36 32.41 0.054
84.53
Quantity of
c a r b o n
destroyed t/
ha	
  
169.26 169.26 84.63 169.26 84.63 169.26 84.63 84.63 84.63 84.63 169.26
_
Total carbon
destroyed
(tc)	
   4299204 1244.06 938.55 646.57 470.54 330.06 287.74 1384.55 2742.86 2742.86 9.14 11226.85
Percentage
(%)	
   0.16 0.45 0.34 0.24 0.17 0.12 0.10 0.50 1.00 1.00 0.00 4.09
11226. 85 tons of carbon were destroyed by logging activities in this
AAC (i.e. about 4.09% of the AAC).
Natural regeneration was enhanced in this AAC by sylvicultural
activities on 10 of the 16 log yards at the end of the logging using
trees such as Tali, Sapelli, Ayous (650 trees planted, area 5.88 ha)
Carbon damaged
Impact in an annual allowable cut (AAC)
Methodology
(1)  Quantification of above- ground biomass (AGB) of
the commercial tree species using allometric
equations based on tree volume & biomass
(2)  Quantification of AGB damaged by logging
infrastructure using unit area AGB value and field
measured surface areas of logging infrastructures
(3)  Correlation and linear regression analysis between
density of logging roads, density of log yards and
above-ground biomass logged,
(4)  Correlation and linear regression analysis between
red reflectance, near infrared reflectance (NIR),
middle infrared reflectance (MIR), normalized
difference vegetation index (NDVI), and enhanced
vegetation index (EVI) derived from MODIS 250 m
products and above-ground biomass logged.
Impact in an AAC & GIS Modelling
Results AGB destroyed by logging
Harvested trees compared with initial
commercial trees potential
-­‐200	
  
-­‐100	
  
0	
  
100	
  
200	
  
300	
  
400	
  
500	
  
Above-­‐ground	
  
biomass	
  reference	
  
baseline	
  
Above-­‐ground	
  
biomass	
  affected	
  
Above-­‐ground	
  
biomass	
  remaining	
  
Above-­‐ground	
  biomass	
  (Mgha-­‐1)	
  
Total AGB affected by logging
compared with the initial AGB
Results
Y = 0.835 + 64.882 X
Y = – 0.095 + 62.851X1 – 0.005021X2
Logging roads & NDVI as proxies to determine AGB logged
66 %
73%
THINKING beyond the canopy
AAC4-1 UFA 10011
(SFM Logging
Regime)	
  
AAC 2-2 F. Council/
communal forest	
  
Sale of standing
volume	
  
10 01 180	
  
Community
Forestry	
  
Carbon	
  stock	
  by	
  logging	
  
0tle	
  (tC)	
  
256685.35	
   211555.60	
   395875.00	
   31670.00	
  
Roadbed	
   1790.94	
   1713.3	
   7584.9	
   /	
  
Log yards	
   403.79	
   601.7	
   1060.9	
   /	
  
Road-sides clearings	
   2055.4	
   994.99	
   6257.0	
   /	
  
Skid trails	
   2474.6	
   1141.46	
   3820.9	
   /	
  
Tree-felled gaps	
   4256.9	
   3564.52	
   28554.6	
   2372.07	
  
Timber processing areas	
   /	
   /	
   /	
   566.73	
  
Total	
   10981.61	
   8015.7	
   47278.5	
   2938.8	
  
Percentage	
  	
  
	
  
4.27%	
   3.78%	
   11.94%	
   9.27%	
  
Looking the % of carbon stock pertubation, The Sale of standing volume
regime was more affected following by AAC 41 (respectivelly 11,94% and 9,27%.
Impact in differents Logging regimes
Carbon stock affected	
  
THINKING beyond the canopy
Preliminary conclusion
§  Loging activities have an impact on forest carbon stocks.
The current study provides some preliminary information,
further research is required to provide information that will
be useful for the MRV system
§  A MRV system must take into consideration activities taking
place in forest exploitation zones
§  Public-Private partnership are useful for information
generation on REDD+ & Logging in Central Africa
THINKING beyond the canopy
www.cifor.cgiar.org
dsonwa@cgiar.org
http://www.cifor.org/forafama/home.html
Thank you!!!!

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Carbon storage and logging activities: field assessment in Central Africa

  • 1. THINKING beyond the canopy FORAFAMA Carbon storage and logging activities: field assessment in Central Africa Denis J. Sonwa1; Shu Gideon Neba2, Njome Daniel3, Djomo Jocelyne3; Valentina Robiglio4; Sufo Kankeu Richard1; Metet Arnauld3, Moankang Nkal Noelle Marlene3, Eba’a Atyi Richard1 •  1. Center for International Forestry Research, Yaoundé Cameroon. •  2. University of Helsinki (Finland) •  3.University of Dschang (Cameroon) •  4. IITA –Cameroon (Now ICRAF-Perou) •  Corresponding Email d.sonwa@cgiar.org Atelier de restitution finale sur le REDD+ dans les concessions forestières d’Afrique centrale et du Brésil (Projet FORAFAMA : Appui à la Gestion Durable des Forêts du Bassin du Congo et du Bassin Amazonien du Brésil), H Hôtel Mont Fébé, Yaoundé,18 Juin 2014
  • 2. THINKING beyond the canopy Plan §  Background §  Carbon stock assessment • ètree-fall gaps • èAnnual Allowable Cut (AAC) • èDifferents logging regimes §  Conclusion
  • 3. * EDF 2008 Main focus: REDD+ with the perspective of achieving sustainable management of forest stands of the Congo Basin Background: Central Africa & Climate Change Main land uses* Slash & Burn Agriculture: 438.801 km² Biodiversity Conservation (Protected Areas): 444.970 km² Logging (concessions); 595.380 km² è Several activities on Biodiversity Conservation & REDD+ but Few (including research) on Logging & REDD+
  • 4. Country Production in 2007(m3) Cameroon 2 296 254 Gabon 3 350 670 Congo 1 330 980 RCA 537 998 DRC 310 000 Equatorial Guinea 524 799 Total Central Africa 8 350 701 Timber production in Central Africa* *EDF 2008 è Biomass harvested as timber è On-site logging damage è Biomass destruction linked to forest management activities around/ periphery of exploitation sites, etc.. Forest exploitation & CC
  • 5. Country Annual Deforestation (%) Annual net degradation (%) Cameroun 0.14 0.02 Gabon 0.09 0.07 Congo 0.02 0.01 RCA 0.06 0.02 DRC 0.20 0.12 Total Central Africa 0.16 0.09 Changes in Central Africa between 1990 and 2000 * *EDF 2008 è Forest degradation usually linked to forest exploitation, è But forest exploitation not necessarily the only factor of degradation è Can also contribute indirectly to deforestation è Need for more information on carbon stock and forest exploitation Background: Forest exploitation & CC
  • 6. THINKING beyond the canopy Carbon Stocks & Forest exploitation Periphery §  Carbon stocks in forest/ agricultural land mosaics (ASB/IITA, TNS; CED) §  In agro cocoa forests, with timber sometimes occupying an important place (IITA) §  In intact forests (Tropenbos in Cameroon; WCS/WWF/ CTFS in ituri-RDC) §  Etc… Primary forest Forest field (IC/maleHH) Bush fallow (IC/maleHH) Annual mixed Food crop field Cocoa Agroforest Short fallow Long fallow Secondary forest Principal land uses in the Southern forest area of Cameroon* * ASB (2002)
  • 7. THINKING beyond the canopy §  Winrock in Congo (CIB) (Carbon damage C/Ha) §  GAF, Pilote studies on the effect of logging in Cameroon (biomas damage/biomass removed in a certifiied & non- certified forest concessions *Certified company (Pallisco) & *Non-certified Company (SCTB) §  The work of Nicheu et al. on the value chain from forest inventory to the Sawmill (VICWOOD THANRY),East Cameroon èfew studies, need for more research! Carbon stock & Logging On-site, review !!!* *Figure de GAF, Rapport REDD Cameroon
  • 8. THINKING beyond the canopy Table  1:  expression  of  damage  factor   Comment : There is no significant difference between the two damage factors Possible  justification  :    The  sale  of  standing  volume  (under  conventional  logging  practices  )  and   FMU  (SFM)    are  owned  by  the  same  company.   Carbon  stock  before   logging  (tC) Carbone  extracted   (tC)   (m3) Carbon   damaged  (tC) Damage  factor           Forest  under  SFM   10,91±  5,19     5,05  ±  3,07       (20,47  m3  ±  10,01) 5,86  ±  2,64 1,4  ±  0,63     (0,33  ±  0,17  tc/m3)   Forest  under  Sale  of   standing  volume   Regime            6,67  ±  3,82   2,99  ±  1,77       (10,67  m3  ±  6,78) 3,70    ±  2,64 1,33±  0,70     (  037±  0,20  tc/m3) Carbon stock: Impact in tree-fall gaps
  • 9. THINKING beyond the canopy Reconstitution of carbon stock faster in sustainable management planning than in conventional logging. Comparaison  of  carbon  stocks   Logging  under  sustainable  management   planning Forest  under  Sale  of  standing   volume  Regime   0  years     (unexploited)   AAC9  (2011) 10  years  after     exploitation  AAC1   (2001)  0  years  (un   exploited) VC  04  (2011) 10  years  after   exploitation VC  02  (2001) Carbon  pools n  =  16 n  =  9 n  =  14  (1,76  ha) n  =  7    (8,80  ha) Trees  (tC/ha) 222,52  ±  109,04 169,75    ±  89,71 238,99±98,22 118,27±  81,45 Roots  (tC/ha) 41,14  ±  21,91 32,39  ±  18,44 43,82  ±  19,97 23,53  ±16,93 Undergrowth(tC/ha) 0,65  ±  0,17 0,65  ±0,13 0,69±0,17 0,47±0,17 Litter  (tC/ha) 1,29±  0,21 1,33±0,08 1,32±0,16 1,33±0,20 Dead  wood  (tC/ha) 35,36  ±  35,97 65,69  ±  51,05 19,33  ±  29,29 19,54±43,52 Soil  (tC/ha) 26,96  ±  10,65 50,17±  15,50 28,63±9,53 21,36±  4,15 Total 327,92  ±  177,  95 319,98  ±  123,86 332,78  ±157,34 184,5  ±  50 Post-logging carbon evolution Carbon stock: Impact in tree-fall gaps
  • 10. THINKING beyond the canopy Results Supervised classification with ArcGIS 10 & Erdas 2011 permitted to distincttively identify forest roads between two years. In 2003, only the old primary is still visible but, Landsat 8 image discriminated forest gaps and roads after forest exploitation in 2013 2003 2013 Impact in an annual allowable cut (AAC)
  • 11. THINKING beyond the canopy Results: Log yard Primary roads Secondary roads Tertiary roads Skid trails Tree-felled gaps Quarry Total BR BE BR BE BR BE Tree trunk Tree crown Surface area d e s t r o y e d (ha)   2.54 7.35 11.09 3.82 5.56 1.95 3.4 16.36 32.41 0.054 84.53 Quantity of c a r b o n destroyed t/ ha   169.26 169.26 84.63 169.26 84.63 169.26 84.63 84.63 84.63 84.63 169.26 _ Total carbon destroyed (tc)   4299204 1244.06 938.55 646.57 470.54 330.06 287.74 1384.55 2742.86 2742.86 9.14 11226.85 Percentage (%)   0.16 0.45 0.34 0.24 0.17 0.12 0.10 0.50 1.00 1.00 0.00 4.09 11226. 85 tons of carbon were destroyed by logging activities in this AAC (i.e. about 4.09% of the AAC). Natural regeneration was enhanced in this AAC by sylvicultural activities on 10 of the 16 log yards at the end of the logging using trees such as Tali, Sapelli, Ayous (650 trees planted, area 5.88 ha) Carbon damaged Impact in an annual allowable cut (AAC)
  • 12. Methodology (1)  Quantification of above- ground biomass (AGB) of the commercial tree species using allometric equations based on tree volume & biomass (2)  Quantification of AGB damaged by logging infrastructure using unit area AGB value and field measured surface areas of logging infrastructures (3)  Correlation and linear regression analysis between density of logging roads, density of log yards and above-ground biomass logged, (4)  Correlation and linear regression analysis between red reflectance, near infrared reflectance (NIR), middle infrared reflectance (MIR), normalized difference vegetation index (NDVI), and enhanced vegetation index (EVI) derived from MODIS 250 m products and above-ground biomass logged. Impact in an AAC & GIS Modelling
  • 13. Results AGB destroyed by logging Harvested trees compared with initial commercial trees potential -­‐200   -­‐100   0   100   200   300   400   500   Above-­‐ground   biomass  reference   baseline   Above-­‐ground   biomass  affected   Above-­‐ground   biomass  remaining   Above-­‐ground  biomass  (Mgha-­‐1)   Total AGB affected by logging compared with the initial AGB
  • 14. Results Y = 0.835 + 64.882 X Y = – 0.095 + 62.851X1 – 0.005021X2 Logging roads & NDVI as proxies to determine AGB logged 66 % 73%
  • 15. THINKING beyond the canopy AAC4-1 UFA 10011 (SFM Logging Regime)   AAC 2-2 F. Council/ communal forest   Sale of standing volume   10 01 180   Community Forestry   Carbon  stock  by  logging   0tle  (tC)   256685.35   211555.60   395875.00   31670.00   Roadbed   1790.94   1713.3   7584.9   /   Log yards   403.79   601.7   1060.9   /   Road-sides clearings   2055.4   994.99   6257.0   /   Skid trails   2474.6   1141.46   3820.9   /   Tree-felled gaps   4256.9   3564.52   28554.6   2372.07   Timber processing areas   /   /   /   566.73   Total   10981.61   8015.7   47278.5   2938.8   Percentage       4.27%   3.78%   11.94%   9.27%   Looking the % of carbon stock pertubation, The Sale of standing volume regime was more affected following by AAC 41 (respectivelly 11,94% and 9,27%. Impact in differents Logging regimes Carbon stock affected  
  • 16. THINKING beyond the canopy Preliminary conclusion §  Loging activities have an impact on forest carbon stocks. The current study provides some preliminary information, further research is required to provide information that will be useful for the MRV system §  A MRV system must take into consideration activities taking place in forest exploitation zones §  Public-Private partnership are useful for information generation on REDD+ & Logging in Central Africa
  • 17. THINKING beyond the canopy www.cifor.cgiar.org dsonwa@cgiar.org http://www.cifor.org/forafama/home.html Thank you!!!!