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Coffee Under Pressure (CUP) Sustainable Food Laboratory (SFL) Meeting  18 of March 2010, Monte de la Cruz, Costa Rica Peter Laderach (CIAT) [email_address]
OUTLINE -   Objectives - CIAT - Partners - Methodologies - Results - Work Plan
Coffee Under Pressure CUP A:  To predict the future suitability and distribution of coffee sourcing areas E:  To accompany farmer organizations and engage supply chain actors to design adequate scenarios B:  To evaluate potential impacts of cc on coffee quality and quantity C:  To identify alternative crops suitable under predicted climate change scenarios for key regions D:  To evaluate the implications of changes in coffee quality and quantity studies on social parameters (income, poverty and equity)
CIAT - International Centre for Tropical Agriculture
CIAT - International Centre for Tropical Agriculture CIAT:  part of the Consultative Group on International Agricultural Research CGIAR   Mission:  Reduce hunger and poverty in the tropic through scientific research leading to new technology and knowledge DAPA:  Decision and Policy Analysis What we do:  Spatial analysis, climate change modelling impact analysis …etc.
The Partners - Catholic Relief Services CRS CRS  is the official relief and development agency of the Catholic community in the United States Beneficiaries:  More than 7000 farmers in Mexico, El Salvador, Guatemala and Nicaragua. CAFE Livelihoods:  Improve livelihoods of farmers in Mexico, El Salvador, Guatemala and Nicaragua through improved coffee productivity, quality and marketing
The Partners - Cropster.org Cropster  is a web-based traceability, quality management and marketing platform Cropster  will make sure that the production, quality and farm data will be available for the entire supply chain and for research   Cropster  will feed back information back to the supply chain to assure improved decision making and support adaptation strategies
Why do we know that the climate is changing?
Why do we know that the climate is changing?
The Facts
METHODOLOGY - Objective A A:  Predict the future suitability and distribution of coffee sourcing areas
METHODOLOGY - Objective A WorldClim (Hijmans et al, 2005) Climate (Current)
METHODOLOGY - Objective A WorldClim (Hijmans et al, 2005) Climate (Current)
METHODOLOGY - Objective A ,[object Object],[object Object],[object Object],Climate (Future)
METHODOLOGY - Objective A Climate (Future)
METHODOLOGY - Objective A Variables
METHODOLOGY - Objective A ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
RESULTS  - Objective A A:  Predict the future suitability and distribution of GMCR coffee sourcing areas
RESULTS  - Objective A
RESULTS  - Objective A
RESULTS  - Objective A Average climate change in Nicaragua - 120 mm - 90 mm Change in precipitation + 2,4 °C + 1,1 °C Average temperature change 2050 2020
RESULTS  - Objective A Suitability change by 2050
RESULTS  - Objective A Suitability versus altitude
METHODOLOGY  - Objective B A: Predict the future suitability and distribution of scoffee sourcing areas B: Evaluate potential impacts of cc on coffee quality and quantity
METHODOLOGY  - Objective B Cropster.org
METHODOLOGY  - Objective B Cropster.org
RESULTS  - Objective B Crop prediction models
METHODOLOGY  - Objective C A: Predict the future suitability and distribution of coffee sourcing areas B: Evaluate potential impacts of cc on coffee quality and quantity C: Identify alternative crops suitable under predicted climate change scenarios for key regions
METHODOLOGY- Objective C 30 most important crop Área sembrada  (Ha) 219584 Mangifera indica L. Mango 15 9175222 Zea mays L. s. mays Maíz 14 16756 Lactuca sativa var. capitata  L. Lechuga 13 --- Andropogon gayanus Kunth Gamba 12 2119650 Phaseolus vulgaris L. Frijol 11 23001 Brassica oleraceae var. Botrytis Coliflor 10 59574 Allium cepa L. v cepa Cebollas 9 1287388 Saccharum officinarum L. Caña de Azúcar 8 82592 Theobroma cacao L.  Cacao 7 --- Brachiaria mutica Stapf. Brachiaria 6 207175 Musa acuminata Colla. Banano 5 321764 Oriza sativa L. s. japonica Arroz 4 113414 Gossypium hirsutum L. Algodón 3 19065 Agave sisalana americana Agaves Otras 2 189804 Elaeis guineensis  Jacq. Palma 1 Nombre científico Cultivo N Área sembrada  (Ha) Nombre Científico Cultivos N 83054 Arachis hypogaea L. Maní 16 422754 citrus Sinensis (L.) Osbeck Naranjas 17 199595 Cocos nucifera L.  Coco 18 90850 Solanum tuberosum L. Batata 19 26528 Carica papaya L. Papaya 20 66614 Ananas comosus Piña 21 57872 Musa balbisiana Colla Platano 22 --- Brassica oleraceae L.v capi. Repollo 23 104700 Sesamum indicum L. Sesamo 24 78726 Glycine max  Soja 25 2026824 Sorghum bicolor L. Moench Sorgo 26 24713 Nicotiana tabacum L.  Tabaco 27 130812 Lycopersicon esculentum M.  Tomates 28 38322 Manihot sculenta Crantz. Yuca 29 17073 Daucus carota L. Zanahoria  30
RESULTS - Objective C Suitability change in crops
RESULTS - Objective C Number of crops that loose out
RESULTS - Objective C Number of crops that win
RESULTS - Objective C Combination of crops and coffee
METHODOLOGY - Objetive D A: Predict the future suitability and distribution of coffee sourcing areas B: Evaluate potential impacts of cc on coffee quality and quantity C: Identify alternative crops suitable under predicted climate change scenarios for key regions D: Evaluate the implications of changes in coffee quality and quantity case studies on social parameters (income, poverty and equity)
METHODOLOGY - Objetive D
METHODOLOGY - Objetive D
METHODOLOGY - Objective E A: Predict the future suitability and distribution of coffee sourcing areas E: Accompany farmer organizations and engage supply chain actors to design adequate scenarios B: Evaluate potential impacts of cc on coffee quality and quantity C: Identify alternative crops suitable under predicted climate change scenarios for key regions D: Evaluate the implications of changes in coffee quality and quantity in case studies on social parameters (income, poverty and equity)
Los colores muestran: Precipitación promedio anual Cruz Alejandro Gomez La Maravilla | ID: NIC_024 Matagalpa, Nicaragua Factores ambientales: Precipitación promedio anual: 1.900mm
Los colores muestran: Cambio de la Adaptabilidad (%) para el año 2050 Cruz Alejandro Gomez La Maravilla | ID: NIC_024 Matagalpa, Nicaragua Factores ambientales: Cambio Adaptabilidad año 2050: -37%
Los colores muestran: Cambio de la Adaptabilidad (%) para el año 2050 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Coffee Under Pressure CUP A:  To predict the future suitability and distribution of coffee sourcing areas -  2009 -2011 E:  To accompany farmer organizations and engage supply chain actors to design adequate scenarios -  2012 - 2014 B:  To evaluate potential impacts of cc on coffee quality and quantity -  2010 - 2011 C:  To identify alternative crops suitable under predicted climate change scenarios for key regions -  2010 - 2012 D:  To evaluate the implications of changes in coffee quality and quantity in studies on social parameters (income, poverty and equity) -  2010 - 2013
¡Muchas gracias!  Peter Laderach (CIAT) [email_address]

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P. Laderach. Coffee Under Pressure Cup Ciat Sfl Meeting

  • 1. Coffee Under Pressure (CUP) Sustainable Food Laboratory (SFL) Meeting 18 of March 2010, Monte de la Cruz, Costa Rica Peter Laderach (CIAT) [email_address]
  • 2. OUTLINE - Objectives - CIAT - Partners - Methodologies - Results - Work Plan
  • 3. Coffee Under Pressure CUP A: To predict the future suitability and distribution of coffee sourcing areas E: To accompany farmer organizations and engage supply chain actors to design adequate scenarios B: To evaluate potential impacts of cc on coffee quality and quantity C: To identify alternative crops suitable under predicted climate change scenarios for key regions D: To evaluate the implications of changes in coffee quality and quantity studies on social parameters (income, poverty and equity)
  • 4. CIAT - International Centre for Tropical Agriculture
  • 5. CIAT - International Centre for Tropical Agriculture CIAT: part of the Consultative Group on International Agricultural Research CGIAR Mission: Reduce hunger and poverty in the tropic through scientific research leading to new technology and knowledge DAPA: Decision and Policy Analysis What we do: Spatial analysis, climate change modelling impact analysis …etc.
  • 6. The Partners - Catholic Relief Services CRS CRS is the official relief and development agency of the Catholic community in the United States Beneficiaries: More than 7000 farmers in Mexico, El Salvador, Guatemala and Nicaragua. CAFE Livelihoods: Improve livelihoods of farmers in Mexico, El Salvador, Guatemala and Nicaragua through improved coffee productivity, quality and marketing
  • 7. The Partners - Cropster.org Cropster is a web-based traceability, quality management and marketing platform Cropster will make sure that the production, quality and farm data will be available for the entire supply chain and for research Cropster will feed back information back to the supply chain to assure improved decision making and support adaptation strategies
  • 8. Why do we know that the climate is changing?
  • 9. Why do we know that the climate is changing?
  • 11. METHODOLOGY - Objective A A: Predict the future suitability and distribution of coffee sourcing areas
  • 12. METHODOLOGY - Objective A WorldClim (Hijmans et al, 2005) Climate (Current)
  • 13. METHODOLOGY - Objective A WorldClim (Hijmans et al, 2005) Climate (Current)
  • 14.
  • 15. METHODOLOGY - Objective A Climate (Future)
  • 16. METHODOLOGY - Objective A Variables
  • 17.
  • 18. RESULTS - Objective A A: Predict the future suitability and distribution of GMCR coffee sourcing areas
  • 19. RESULTS - Objective A
  • 20. RESULTS - Objective A
  • 21. RESULTS - Objective A Average climate change in Nicaragua - 120 mm - 90 mm Change in precipitation + 2,4 °C + 1,1 °C Average temperature change 2050 2020
  • 22. RESULTS - Objective A Suitability change by 2050
  • 23. RESULTS - Objective A Suitability versus altitude
  • 24. METHODOLOGY - Objective B A: Predict the future suitability and distribution of scoffee sourcing areas B: Evaluate potential impacts of cc on coffee quality and quantity
  • 25. METHODOLOGY - Objective B Cropster.org
  • 26. METHODOLOGY - Objective B Cropster.org
  • 27. RESULTS - Objective B Crop prediction models
  • 28. METHODOLOGY - Objective C A: Predict the future suitability and distribution of coffee sourcing areas B: Evaluate potential impacts of cc on coffee quality and quantity C: Identify alternative crops suitable under predicted climate change scenarios for key regions
  • 29. METHODOLOGY- Objective C 30 most important crop Área sembrada (Ha) 219584 Mangifera indica L. Mango 15 9175222 Zea mays L. s. mays Maíz 14 16756 Lactuca sativa var. capitata L. Lechuga 13 --- Andropogon gayanus Kunth Gamba 12 2119650 Phaseolus vulgaris L. Frijol 11 23001 Brassica oleraceae var. Botrytis Coliflor 10 59574 Allium cepa L. v cepa Cebollas 9 1287388 Saccharum officinarum L. Caña de Azúcar 8 82592 Theobroma cacao L. Cacao 7 --- Brachiaria mutica Stapf. Brachiaria 6 207175 Musa acuminata Colla. Banano 5 321764 Oriza sativa L. s. japonica Arroz 4 113414 Gossypium hirsutum L. Algodón 3 19065 Agave sisalana americana Agaves Otras 2 189804 Elaeis guineensis Jacq. Palma 1 Nombre científico Cultivo N Área sembrada (Ha) Nombre Científico Cultivos N 83054 Arachis hypogaea L. Maní 16 422754 citrus Sinensis (L.) Osbeck Naranjas 17 199595 Cocos nucifera L. Coco 18 90850 Solanum tuberosum L. Batata 19 26528 Carica papaya L. Papaya 20 66614 Ananas comosus Piña 21 57872 Musa balbisiana Colla Platano 22 --- Brassica oleraceae L.v capi. Repollo 23 104700 Sesamum indicum L. Sesamo 24 78726 Glycine max Soja 25 2026824 Sorghum bicolor L. Moench Sorgo 26 24713 Nicotiana tabacum L. Tabaco 27 130812 Lycopersicon esculentum M. Tomates 28 38322 Manihot sculenta Crantz. Yuca 29 17073 Daucus carota L. Zanahoria 30
  • 30. RESULTS - Objective C Suitability change in crops
  • 31. RESULTS - Objective C Number of crops that loose out
  • 32. RESULTS - Objective C Number of crops that win
  • 33. RESULTS - Objective C Combination of crops and coffee
  • 34. METHODOLOGY - Objetive D A: Predict the future suitability and distribution of coffee sourcing areas B: Evaluate potential impacts of cc on coffee quality and quantity C: Identify alternative crops suitable under predicted climate change scenarios for key regions D: Evaluate the implications of changes in coffee quality and quantity case studies on social parameters (income, poverty and equity)
  • 37. METHODOLOGY - Objective E A: Predict the future suitability and distribution of coffee sourcing areas E: Accompany farmer organizations and engage supply chain actors to design adequate scenarios B: Evaluate potential impacts of cc on coffee quality and quantity C: Identify alternative crops suitable under predicted climate change scenarios for key regions D: Evaluate the implications of changes in coffee quality and quantity in case studies on social parameters (income, poverty and equity)
  • 38. Los colores muestran: Precipitación promedio anual Cruz Alejandro Gomez La Maravilla | ID: NIC_024 Matagalpa, Nicaragua Factores ambientales: Precipitación promedio anual: 1.900mm
  • 39. Los colores muestran: Cambio de la Adaptabilidad (%) para el año 2050 Cruz Alejandro Gomez La Maravilla | ID: NIC_024 Matagalpa, Nicaragua Factores ambientales: Cambio Adaptabilidad año 2050: -37%
  • 40.
  • 41. Coffee Under Pressure CUP A: To predict the future suitability and distribution of coffee sourcing areas - 2009 -2011 E: To accompany farmer organizations and engage supply chain actors to design adequate scenarios - 2012 - 2014 B: To evaluate potential impacts of cc on coffee quality and quantity - 2010 - 2011 C: To identify alternative crops suitable under predicted climate change scenarios for key regions - 2010 - 2012 D: To evaluate the implications of changes in coffee quality and quantity in studies on social parameters (income, poverty and equity) - 2010 - 2013
  • 42. ¡Muchas gracias! Peter Laderach (CIAT) [email_address]