2. Saturniidae and intensification
WP3: BIODIVERSITY
Farm Richness
25
Number of species per sample
20
Plantes
15
Saturnidae Oiseaux
10
5
0
BMB BPC BPR CAF CSP CTR
Landscape windows
Landscape Richness Saturation
50
120
Number of species per window
Number of species per country
Ob
Th
40
Drosophiles Fourmis 65.2%
80
30
60
20
31.3%
Vers de terre
40
10
20
0
0
> 2500 species identified BMB BPC BPR CAF CSP CTR BRAZIL COLOMBIA
Landscape windows
Bd indicator from 0.1 to 1.0 measured in 270 points
WP4 WP5 : MODELS
Productions and soil ecosystem services Covariations Matrix among tables of data
• Food and commodities
• GISQ and its 5 sub
indicators
• Water infiltration /ha
FAUN. MORF.
FÍS.
• Water storage in soil/ha
MO QUIM.
• C stored in soil and
vegetation Global Indicator Soil Quality 14 fully compatible tables of data
SOCIOECO WP6
BRASIL
History
Production
Scio EXCHANGE OF KNOWLEDGES
farms Demography
systems
0.44 0.42
0.37
0.47 0.42 SOCIOECO
LANDSCAPE
Structure Composition
0.44 PAYSAGE
Echange de
0.28
0 28 0.40
0 40 savoirs
0.38
BIODIV MMA
BIODIV
BSE
0.35 0.39
0.36 0.30
AGREG GISQ BIOM
AERA Modèle statistique Savoir local
0.35 0.33 Scénarios
BIOM Co-variations
SOIL PAR. 0.38 Indicateurs « participatifs
RAICES Indicateurs « scientifiques »
0.32 PRODUC 0.39 (sp indicatrices et autres)
Mesure des SE
SERVICES
2
3. Messages from AMAZ Eco –Efficiency in AMAZ
• SCALES: LANDSCAPE is the best scale to treat
Socioeconomics and the function of natural and agro ecosystem
Ef = Ep *Qs*Bd
• MARKETS : Necessity to develop markets and access
to towns
EP: Incomes ($) from farm activities/ha/person working
• INTENSIFICATION : Systems that are both Productive
AND good at producing ES do exist
QS: soil quality index GISQ (Velasquez et al., 2006)
• PAYMENT FOR ES: Where people get incomes outside
Farm activities, pressure on forest is alleviated. Bd: Species richness index 0.1 to 1.0
Eco efficiency in different landscapes in
Income : 174 Income : 450
ColombianhaAMAZ sites -1.80.50
10 ha-1.8 UTE
-
GISQ = 0.90
10ha-
10ha
GISQ =
UTE
Colombia (Caqueta)
Bd=
Bd= 0.45 Bd=0,32
Bd=0,32
INC: 6600 $
EF = 3,90 EF = 4,00 15 Ha
2.0 persons
Income : 2399 GISQ 0.74
8 ha-0.6 UTE
ha- 70 Bd=0,44
Bd=0,44
GISQ = 0.40
EF=22,0 INC: 7500 $
Bd = 0,52 60 49 Ha
2.2
2 2 persons
EF = 103,1 50 GISQ 0.53 INC: 11200 $
Bd=0,41
Bd=0,41 105 Ha
AGROFORESTRY 40 1.8 persons
Income : 792 LANDSCAPE EF=9,03 GISQ 0.54
12 ha-1.8 UTE
ha- Bd=0,32
Bd=0,32
30
GISQ = 0.40
Bd = 0,41 Income : 530 EF=8,74
20
18 ha-1.8 UTE
ha-
EF = 6,01 GISQ = 0.5 0.0
Bd = 0,40
AGRO CONVENTIO
SYLVO
FORESTRY NAL
EF = M.P$/ha/person EF = 3,21 PASTORAL
Eco efficiency and
Payment for Ecosystem Services
Reshaping Lanscape
Eco intensification in each element of the landscape
In Caqueta: mosaic (bank of options for genetic
resources+ISFM)
Eco intensification allows
‐ better income per surface unit : +400%
per surface : +400% Increase ‘naturality” in used elements (ex. Tree
y (
components)
‐ more people employed: +10%
‐ improved production of soil ES: +37% Increase connectivity among natural ecosystems
‐ improved biodiversity : +38% (biodiversity coorridors)
Identify the optimum level of fragmentation and
contiguity among different land use systems for
different ecosystem services
3
4. The next step: to rebuild eco efficient
landscapes
DIAGNOSTIC
Fondo Amazonico
SOCEC, Health, Climate
Landscape, Biodiversity
Commodities
Ecosystem Services
AMAZ 2030 MARKETS
POLITICS
LANDSCAPE
Commodities + SA MODELS
INFORMATION
Reconstruction of eco efficient landscapes in TRAINING
deforested areas of Amazonia in a context of
climate change Payment for ES Certified
Value Chain Optimization Participative
Indicators
LANDSCAPE
RECONSTRUCTION
Thank you!!
THANK YOU!!
UMR137 BIOSOL, Bondy; France (M. Grimaldi, D. Mitja, S. Barot, E. Velasquez)
ECODIV-Rouen, France (Th.Decaëns)
UMR-CNRS 5603, Pau, France. X . Arnaud de Sartre
CIRAD-GREEN , Montpellier, France. JF Tourrand + P. Bommel
CIRAD-UPR 36 Montréal Canada V Gond
36, Montréal, Canada. V.
UR169 IRD, Paris, France. Ph Lena, P. de Robert
UR 079 GEODES, Bondy. France. P. Auger
UMR 5173 MNHN-CNRS, Paris, France. J M Thiollay
UMR 5023 CNRSS. Lyon, France. Sylvain Doledec
CIAT(Cali, Colombia) M. Rondon
INRA-Avignon, France. B. Hubert .
Universidad de la Amazonia, Florencia, (Colombia) B. Ramirez + team
Univ Tecnologica de Pereira (Colombia) A. Feijoo + team
UFPA-NEAF Belem (Brésil) I. Veiga + team
UFPA-LASAT Maraba (Brésil) L. Alves + team
Museu Paraense E. Goeldi Belem, Brésil. M. B. Martins + team
UFRA, Belem, Brésil. P. Martins, I. Miranda + team
Farmers Communities at Pacaja (BR), Maraba (BR) and Florencia (CO).
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