farming systems-based approach to assess and build their ... · farming systems-based approach to...

Farming systems - based approach to assess and build their resilience: insights from the Canton of Vaud (Switzerland) Claire Durand 1 , Ulysse Le Goff 2 , Dominique Barjolle 1 , Johan Six 1 1 Sustainable Agroecosystems , ETH Zürich ; 2 Research 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 framework Drivers Agricultural policy Market structure Values Shocks Climate change Globalization Food 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 a farm system level. • Litterature review and interviews with experts • Pilot testing with 25 farmers Phase 2: stratification of the farms in 20 strata based on 20 variables Next phases Phase 1: Adaptation of the SHARP tool to 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 Number of farms 600 400 200 0 Average crops and livestock for each stratum Surface (ares) Livestock (LU) Stratum n° 0 5 10 15 20 Cereals Sugar Beetroot Potato Oil and protein crops Tobacco Seeds Open field vegetables Covered market gardening Fodder maïze Ley Permanent grassland Alpine pasture Vine Other multiannual crops (fruit trees) Surfaces Dairy cattle Other cattle Sheep and goats Pigs Poultry Horses Livestock Most resilient components Infrastructure Veterinary access Access to information Intercropping Market prices Direct selling Least 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) Resilience assessments (SHARP) Workshops on innovations to build resilience Multi-stakeholders IT-platform of innovations PHASE 4 PHASE 3 PHASE 5

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Page 1: Farming systems-based approach to assess and build their ... · Farming systems-based approach to assess and build their resilience: insights from the Canton of Vaud (Switzerland)

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

Farming system B

Farm system

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

ero

f fa

rms

600

400

200

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

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