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HAL Id: hal-01269104

https://hal.archives-ouvertes.fr/hal-01269104

Submitted on 5 Jun 2020

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Biophysical survey in Congo (WP6)

Laurent Saint-André, Blandine Geneste, Joseph Yoka, G. Sola, S. Rodowsky,

Louis Mareschal

To cite this version:

Laurent Saint-André, Blandine Geneste, Joseph Yoka, G. Sola, S. Rodowsky, et al.. Biophysical survey

in Congo (WP6). ClimAfrica Project, 2014, Lomé, Togo. pp.12 slides. �hal-01269104�

(2)

ClimAfrica - Climate change

predictions in Sub-Saharan Africa:

impacts and adaptation

WP6 – Biophysical survey in Congo

C.R.D.P.I

CENTRE DE RECHERCHE SUR LA DURABILITE ET LA

LA PRODUCTIVITE DES PLANTATIONS INDUSTRIELLES (EX UR2PI)

By Saint-André L1,4, Geneste B.1,2,

Yoka J.3, Sola G.1,2, Rodowsky S. 1,2,

Mareschal L. 1,2

Cirad, UMR ECO&SOLS, Montpellier F-34000, France

CRDPI, UR Plantes et Milieux, Pointe-Noire, République du

Congo

Université Marien Ngouabi, Brazzaville, République du

Congo

(3)

ClimAfrica - Climate change

predictions in Sub-Saharan Africa:

impacts and adaptation

ClimAfrica Project Lomé

Site prospection and selection

(i)

panorama of the main ecosystems located

in the Kouillou region

(ii)

stratification of the vegetation types using

GIS, Digital Elevation Model (SRTM3

model) and Satellite images (Landsat 2001);

(iii)

geographical delimitation of the basins of

interest;

(iv)

validation, by checking on the field, the

limits of the basins and the vegetation type

(savannah, eucalyptus plantations and

forests);

(v)

random selection of the points to be

(4)

ClimAfrica - Climate change

predictions in Sub-Saharan Africa:

impacts and adaptation

2 zones inventoriées, 3

points par écosystème

et par zone

Kissoko – fortement

anthropisée

Tchizalamou –

faiblement anthropisée

(5)

ClimAfrica - Climate change

predictions in Sub-Saharan Africa:

impacts and adaptation

ClimAfrica Project Lomé

In-situ data collection (WP6 and Biomass Campaign)

Height of the first branch

Cbase

C at the end

of the stem

Length of the

longest branch

Total height

Crown dimensions (longest diameter and its perpendicular)

Inventaires selon

protocoles climafrica

+ campagne de

biomasse pour Annona

senegalensis (16 felled

trees) and Anthocleista

schweinfurthii (23

felled trees)

+ analyses sol pour les

horizons 0-5, 5-10,

10-30, 30-60, 60-90, >90

– densité apparente,

ph-eau, C, N, P, K, Ca,

Mg, Al, Na, Fe, CEC,

cations échangeables,

(6)

ClimAfrica - Climate change

predictions in Sub-Saharan Africa:

impacts and adaptation

In-sillico data compilation and calculation

Biomass equations were fitted using the NLP

procedure of the SAS software package.

Following the procedure described by

Saint-André et al. (2005)

AE

database

1 AE

>1AE

0 AE

> 1

Generic AE

0 Generic

AE

1 Generic

AE

Selection

Criteria

Expert

judgment

Calculation

Species specific AE?

(Henry et al, 2011 and grey literature for Africa

)

Generic AE?

(Chave 2005, Henry et al 2010, Gerhing et al. 2004)

Comparison

SP AE

Average

AGB

Selection

Criteria

Selection criteria: lower biomass to ensure under-estimation of AGB

Differences between zones

(Tchizalamou, Kissoko), soil layers

and vegetation type on the soil

properties were assessed using

ANOVA (proc GLM, SAS software).

63% of the 644 trees, shrubs and

lianas were concerned by general

allometric equations (Chave et al.

2005, Gerhing et al. 2004)

27% of the individuals got specific

equations (local studies in CRDPI,

Saint-André et al. 2005, Henry et al.

2011)

(7)

ClimAfrica - Climate change

predictions in Sub-Saharan Africa:

impacts and adaptation

ClimAfrica Project Lomé

Results: Development of Biomass equations for Annona senegalensis and

Anthocleista schweinfurthii

A C2H fixé, Annona a moins de

biomasse foliaire et de tronc

qu’Anthocleista et plus de branches

Au final, même modèle de biomasse

totale pour les deux essences

(8)

ClimAfrica - Climate change

predictions in Sub-Saharan Africa:

impacts and adaptation

Results: Development of Biomass equations for Annona senegalensis and

Anthocleista schweinfurthii

Compartment Variable Model type ML Nb Param

Nb

Data AIC BIC R2 Equations

Branches Cbase Linear, all species -274.7 3 39 555.4 560.4 Branches Cbase Linear, species by species -254.5 6 39 521.0 531.0 Branches Cbase Non-linear, species by species -219.6 8 39 455.3 468.6 Branches Cbase^2.Height Non-linear, all species -222.6 4 39 453.2 459.8 Branches Cbase^2.Height Linear, all species -223.4 3 39 452.7 457.7 Branches Cbase^2.Height Non-linear, species by species -213.5 8 39 443.1 456.4

Branches Cbase Non-linear, all species -220.2 4 39 448.3 455.0 0.73 0.125397*Cbase^3.003428

Branches Cbase^2.Height Linear, species by species -208.4 7 39 430.8 442.5 0.78 Annona: 10.086962*C2H Anthocleista: 0.96037+3.788658*C2L

Leaves Cbase^2.Height Linear, all species -250.6 3 39 507.1 512.1 Leaves Cbase Non-linear, all species -243.2 5 39 496.3 504.6 Leaves Cbase Linear, all species -244.9 3 39 495.8 500.8 Leaves Cbase^2.Height Non-linear, all species -240.1 4 39 488.2 494.9 Leaves Cbase^2.Height Linear, species by species -232.4 8 39 480.8 494.1 Leaves Cbase^2.Height Linear, species by species -228.4 7 39 470.8 482.4 Leaves Cbase Linear, species by species -226.4 7 39 466.8 478.5

Leaves Cbase^2.Height Non-linear, species by species -224.4 8 39 464.9 478.2 0.63 Annona: 12.513333*C2H^0.624322 Anthocleista: 53.183186*C2H^0.514244

Leaves Cbase Non-linear, species by species -222.8 8 39 461.5 474.8 0.66 Annona: 1.51258*Cbase^1.632584 Anthocleista: 3.82613*Cbase^1.910314

Stems Cbase Linear, all species -235.1 3 35 476.2 480.8 Stems Cbase Linear, species by species -227.9 6 35 467.8 477.2 Stems Cbase Non-linear, all species -218.4 4 35 444.8 451.1 Stems Cbase Non-linear, species by species -198.9 9 35 415.7 429.7 0.93

Annona:

14.299567+0.003292*Cbase^4.060366

Anthocleista: 0.034017*Cbase^3.940894 Stems Cbase^2.Height Non-linear, all species -194.5 4 35 397.1 403.3

Stems Cbase^2.Height Linear, all species -194.7 3 35 395.3 400.0 0.89 8.231239*C2H

Stems Cbase^2.Height Linear, species by species -191.1 6 35 394.2 403.5

Stems Cbase^2.Height Non-linear, species by species -186.6 9 35 391.3 405.3 0.93

Annona:

9.461749+2.094412*C2H^1.278106 Anthocleista: 3.950735*C2H^1.268219

Total Cbase Linear, all species -283.1 3 39 572.1 577.1 Total Cbase Linear, species by species -268.6 7 39 551.2 562.9 Total Cbase Non-linear, all species -267.4 4 39 542.8 549.5

Total Cbase Non-linear, species by species -256.3 9 39 530.6 545.6 0.83 Annona: 0.601196*Cbase^2.743353

Anthocleista:

16.928601+1.22861*Cbase^2.763304 Total Cbase^2.Height Non-linear, species by species -251.8 8 39 519.5 532.9

Total Cbase^2.Height Linear, species by species -254.5 6 39 521.0 531.0 Total Cbase^2.Height Non-linear, all species -253.0 5 39 516.1 524.4

Total Cbase^2.Height Linear, all species -253.1 4 39 514.1 520.8 0.91 23.533502+24.955852*C2H

1

(9)

ClimAfrica - Climate change

predictions in Sub-Saharan Africa:

impacts and adaptation

ClimAfrica Project Lomé

Results: Biodiversity

Nom latin :Albizia ad ia nthifolia(Sc hum) W. F. Wight

Éc osystème(s): Lisière sava ne /  forêt et forêts Sta tion(s) : Tc hiza lamou et Kissoko Observée da ns 17% des 29 sites Form e : Arbre

(a )

(b) Ce que d it la flore :

Arbre de 15 – 20 m, pouva nt a tteindre 36 m d e haut. Fût p ra tiquement d épourvu de c ontreforts, hab ituellement c ourt, a tteigna nt un d iamètre d e 96 c m. Éc orc e lisse, rarem ent finement fissurée, marron c la ir à ma rron­rougeâ tre ou gris sombre.

Ra mea ux â gés glab res, bruns à lentic elles plus c laires. Ra mea ux jeunes pubesc ents, ja unes ou roussâ tres.

Feuilles c om posées, bip ennées, à 5 – 10 pa ires d e pennes. Pétiole d ensément pubesc ent jaune­roussâ tre. Présenc e de stipules. 5 à 14 pa ires d e foliolules sessiles. Lim be pubesc ent, vert noirâ tre d essus, plus ou moins c lair d essous.

Infloresc enc e en épi c a pituliforme, axilla ire, solita ire ou fasc ic ulée ou en pa nic ule termina le.

Les fruits sont d es gousses d éhisc entes, ellip tiq ues à oblongues, d ensément finement p oilues, d e 10 à 17 c m d e long. Jac hères et zones de végéta tion sec onda ire.

Carac téristiq ues et usa ges :

Utilisé c omme bois d e c ha uffe et p iquets d e c ases.

Jeunes feuilles c onsommées c omme

légume d ans les pla teaux Tékés. (a) Port (b) Fruit (c ) Vue d’une feuille

(c )

Angiosp ermes /  Eud ic otyléd ones supérieures  /  Rosid ées /  Fa b iid ées /  Fa ba les /  Fa ba c ées

Constitution d’un herbier (170

essences décrites sur les 214

trouvées dans l’étude)

(10)

ClimAfrica - Climate change

predictions in Sub-Saharan Africa:

impacts and adaptation

Results: Biodiversity

Among the 214 different species,

14% were lianas,

16% were trees,

31% were shrubs

and 39% belonged to the herbaceous

strata

The number of species per

plot (assessed in the 20x20

square) is much higher in

Forest ecosystems (in

average 40 different

species, p<0.0001) than in

savannahs or eucalyptus

plantations (in average 13

and 14.5 respectively).

There was no difference

between the two latter

ecosystems (p=0.8301)

(11)

ClimAfrica - Climate change

predictions in Sub-Saharan Africa:

impacts and adaptation

ClimAfrica Project Lomé

Results: Total Aboveground biomass

Forest ecosystems have the highest standing biomass (in average 146 t/ha)

compared to eucalyptus (76 t/ha) and savannahs (1.5 t/ha). There is also a

significant difference between the two zones, especially for forest and eucalyptus

ecosystems, the aboveground biomass being much higher in Tchizalamou zone

than in Kissoko.

(12)

ClimAfrica - Climate change

predictions in Sub-Saharan Africa:

impacts and adaptation

Results: Soil properties C and N

For the organic matter (C and N concentrations), there is a clear difference

between Forests and Savannahs-Eucalyptus group, with a higher C and N

concentration in the soils taken in the forest ecosystems. These differences are

significant down to 60cm depth. Conversely, there was no difference between

(13)

ClimAfrica - Climate change

predictions in Sub-Saharan Africa:

impacts and adaptation

ClimAfrica Project Lomé

Results: Soil pH and BC/CEC

For pH H20, there is clear impact of trees (either in forest ecosystems or in

eucalyptus plantations) with much lower values in forest ecosystems (4.1 and 4.9

respectively for the 0-10 layer) than in savannahs. Eucalyptus plantations showed

an intermediate pattern between forests and savannahs. These differences are

significant down to 60 cm depth.

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