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Farming systems-based approach to assess and build their resilience: insights from the Canton of Vaud (Switzerland)
Claire Durand1, Ulysse Le Goff2, Dominique Barjolle1, Johan Six1
1Sustainable Agroecosystems, ETH Zürich; 2Research Institute of Organic Agriculture (FiBL) contact: [email protected]
Context: Great diversity of farming systems in the Canton of Vaud Research questions• Phase 1: How to assess resilience of farm systems in a
European context?
• Phase 2: How to characterise and sample the farming systems to assess and build resilience at the regional level?
Preliminary results
Conceptual frameworkDriversAgricultural policy Market structure Values
ShocksClimate changeGlobalizationFood System
Farming system A
Farm system
1
Farm system
2
Farming system B
Farm system
3
Farm system
4
Product 1 Product 2
Product 3
Value chain 5
Value chain 4
Value chain 3
Value chain 2
Value chain 1
Consumer Consumer
Consumer
Retailer
Supermarket
Trader
Trader Trader Trader
Retailer
Food Processor
Tools and method
• Phase 2: Sampling of farmers based on farming systems• Selection and aggregation of variables• software-based stratified sampling of the 3300 farms of
Canton of Vaud. Data accessible through , , the cantonal database of agriculture.
• Phase 1: Adaptation of the SHARP tool to assess resilience at afarm system level.
• Litterature review and interviews with experts• Pilot testing with 25 farmers
Phase 2: stratification of the farms in 20 stratabased on 20 variables
Next phasesPhase 1: Adaptation of the SHARP toolto a European context (Pilot testing)
(Diserens, 2016)
• Which components of the farming systems show specific vulnerabilities? (PHASES 3+4)
• What are the main causes of low resilience and how can we overcome them through innovations to reach higher resilience? (PHASES 3+4+5)
• How can we collect and facilitate the dissemination of these innovations by farmers and other stakeholders? (PHASES 4+5)
Further research questions
Localisation among the communes: example with farming system n°11
Stratum n° c c
Distribution of farms in the strata
0 5 10 15 20
Nu
mb
ero
f fa
rms
600
400
200
0
Average crops and livestock for each stratum
Surf
ace
(are
s)Li
vest
ock
(LU
)
Stratum n°0 5 10 15 20
Cereals
Sugar Beetroot
Potato
Oil and protein crops
Tobacco
Seeds
Open field vegetables
Covered marketgardening
Fodder maïze
Ley
Permanent grassland
Alpine pastureVineOther multiannualcrops (fruit trees)
Surfaces
Dairy cattle
Other cattle
Sheep and goats
Pigs
Poultry
Horses
Livestock
Most resilient componentsInfrastructure
Veterinary accessAccess to information
Intercropping
Market pricesDirect sellingLeast resilient components
(Choptiany et al., 2016)
Choptiany J., Phillips S., Graub B., Colozza D., Settle W., Herren B., Batello C. (2016). SHARP: Integrating a traditional survey with participatory self-evaluation and learning for climate change resilience assessment. Climate and Development 9(1): 505–517.Diserens F. (2016). Assessing and building of Resilience in Western farming systems. Master Thesis, Sustainable Agroecosystems Group, ETH. Zürich, 222 p.Photo credit: Ulysse Le Goff
This project received funding from the FOAG (Federal Office of Agriculture) and the Agricultural and Vineyards Services of the Canton of Vaud (SAVI)
Resilienceassessments
(SHARP)
Workshops on innovations to build resilience
Multi-stakeholdersIT-platform of
innovations
PHASE 4
PHASE 3
PHASE 5