Session 5.1 Linking local ecological knowledge to plant functional traits in coffee and cocoa...
-
Upload
world-agroforestry-centre -
Category
Education
-
view
308 -
download
3
description
Transcript of Session 5.1 Linking local ecological knowledge to plant functional traits in coffee and cocoa...
Linking local ecological knowledge to plant functional traits in coffee and cocoa agroforestry systems in
Costa Rica
Jenny C. Ordonez Olivier Deheuvels Esmeralda Castro
agroforestry systems
with perennial crops
Introduction
Local ecological knowledge (LEK) studies show commonalities on:• Tree –crop interactions• how tree species affect ecological processes. • Desirable tree attributes
LEK qualitative – semi-quantitative indicators, make comparisons difficult across systems, regions.
(Cerdan (2012) Agricultural Ecosystems; Soto-Pinto et al., (2007) Biodiversity and conservation; Heinze, 2013 (2013), MSc. Thesis
Introduction
• Functional ecology uses functional traits to understand plant responses to environment and plant mediated impacts on ecosystem processes
(Westoby 2002, Garnier et al., 2004; Lavorel and Garnier, 2002; Violle et al., 2007)
DryInfertile soils
MoistFertilesoils
Introduction
• Functional traits might make comparisons across systems and regions possible.
•morphological, physiological and phenological characteristics•effects on growth, reproduction and survival •impact plant fitness
Objectives
Functional traits
LEK FT
Best Shade
Soil fertilityMicroclimate regulation
Soil Erosion
Study sites
Study sites: Coffee SAF – Turrialba
• Commercial polyculture• Main crop: coffee• Shade: service tree
(Erythrina poeppigiana), fruit trees, bananas, palms
• Organic and conventional systems, input use and regular crop management
• Regular management of shade, pruning and coppicing.
Study sites: Cocoa SAF - Talamanca
• Rustic and traditional agroforests
• Main crop: cacao• High shade: timber
trees, fruit trees, medicinal trees, bananas, palms
• Organic and conventional with little pruning and little sanitary harvest on cocoa trees.
• No management of associated plant species.
Methods
• 50 farmers for each AFS • Semi-structured
interview • Ranking exercise for 20
most common species
Methods
• Measurement of 3 functional traits– Specific leaf area (m2 Kg-1)(growth rate and C economy)– Leaf tensile strength (N mm-1)(protective tissues and decomposition)– Plant height (m)(total plant biomass, competition for light)
Data analysis
• Ranking based on paired comparisons with Bradley-Terry model
• Multivariate analysis of ranking results (PCA)• Bivariate comparisons of ranking results and
trait measurements
MAIN RESULTS
Main results: rankingCoffee AFS Cocoa AFS
Ery.
poe
Mus
.sp.
Ing.
sp.
Ced.
odo
Acn.
arb
Gli.s
ep
Cor.a
ll
The.
cac
Per.a
me
Oco
.flo
Psi.g
ua
Cit.s
p.
Psi.f
ri
Syz.m
al
Cit.s
p.
Cec.s
p.
Bac.g
as
Yuc.s
p.
-8
-6
-4
-2
0
Prio
rizac
ion
espe
cies
Ery.
ber
Ing.
sp1
Ing.
sp3
Gli.s
epPe
r.am
eFi
c.sp.
Syz.m
alIn
g.sp
2Ce
d.od
oCu
p.cin
Ne.
lap
Mus
.sp.
Cor.a
llHu
r.cre
Hie.
alc
Spo.
mom
Aba.
idi
Ann.
mur
Pou.
sap
Bac.g
as
-3
-2
-1
0
1
2
Main results: convergent farmer criteria
BEST WORSEWORSE
WORSE
Main results: correspondence LEK - FT
BEST WORSEWORSE
r= - 0.50P=0.033
r= 0.49P=0.027
Main results: correspondence LEK - FT
BEST WORSEWORSE
r= 0.67P=0.002
r= -0.21P=0.337
Conclusions
• Coincidence on LEK and Ecological Theory, particularly in relation to plant mediated effects on soil fertility in coffee and cocoa AFS.
Conclusions
• In cocoa low correspondence of ranking to SLA might point to valuing more strongly other objectives (e.g. fruit production) or different components of SLA.
Conclusions
• Combination of LEK and FT might open opportunities for assessment of AFS and selection of trees under different conditions.
Thanks
The World Agroforestry CentreCentral America
• Communities around Turrialba and Talamanca
• Esmeralda Castro, Pablo Cruz, Nacho
• CIRAD-PCP y CRP6-Forest Trees and Agroforestry
Selected species Especie Familia Nombre científico SAF café SAF cacao
Aguacate Lauraceae Persea americana x xBanano Musaceae Musa sp. x x
Cacao Malvaceae Theobroma cacao x
Cas Myrtaceae Psidium friedrichsthalianum x
Casha Fabaceae Abarema idiopoda x
Cedro Meliaceae Cedrela odorata x x
Cola de pava Sapindaceae Cupania cinerea x
Guaba Fabaceae Inga sp. 1 x x
Guabacaite Fabaceae Inga sp. 2 x
Guabilla Fabaceae Inga sp. 3 x
Guanabana Annonaceae Annona muricata x
Guarumo Cecropiaceae Cecropia sp. x
Guayaba Myrtaceae Psidium guajava x
Guitite Solanaceae Acnistus arborescens x
Higuito Moraceae Ficus pertusa x
Itabo Agavaceaes Yucca sp. x
Jabillo Euphorbiaceae Hura crepitans x
Jobos Anacardiaceae Spondias mombin x
Laurel Boraginaceae Cordia alliodora x x
Limon Rutaceae Citrus sp. x
Madero negro Fabaceae Gliricidia sepium x x
Mamon chino Sapindaceae Nephelium lappaceum x
Manzana de Agua Myrtaceae Syzygium malaccense x x
Naranja Rutaceae Citrus sp. x
Pejibaye Arecaceae Bactris gasipaes x x
Pilon Phyllanthaceae Hieronyma alchorneoides x
Poro Fabaceae Erythrina berteroana x
Poro Fabaceae Erythrina poeppigiana x
Quizarra Lauraceae Ocotea floribunda x
Sapote Sapotaceae Pouteria sapota x