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Harmonized methods for determining the environmental footprint of dairy

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Harmonized methods for determining the environmental footprint of dairy

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http://www.fao.org/partnerships/leap/en/
The efforts made by the international scientific community to come out with harmonized, sound environmental assessment methods for the dairy industry are presented. Challenges as well as solutions found and areas of interest are flagged in the slideshow.
This presentation does not necessarily represent FAO’s views, positions, strategies or opinions.
© FIL – IDF: http://www.fil-idf.org/

http://www.fao.org/partnerships/leap/en/
The efforts made by the international scientific community to come out with harmonized, sound environmental assessment methods for the dairy industry are presented. Challenges as well as solutions found and areas of interest are flagged in the slideshow.
This presentation does not necessarily represent FAO’s views, positions, strategies or opinions.
© FIL – IDF: http://www.fil-idf.org/

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Harmonized methods for determining the environmental footprint of dairy

  1. 1. Harmonized methods for determining the environmental footprint of dairy S. Bertrand Chair of the IDF Standing Committee on Environment
  2. 2. 2 GHG LCA monitoring Monitor developments in LCA methodology Waterfootprint Build an IDF methodology Biodiversity Build a framework Strategy developement Trade off, global approach Understanding the role of dairy in a sustainable food system To help continuous improvment The SCENV programme of work 2012 To standardize methodologies when possible/tools
  3. 3. The carbon footprint issue Work completed GHG emission Question : what is the impact of dairy on climate change, how can we improve it ?  Development of specific guidelines for dairy, based on existing standards, but give more details on : - Functional unit - Boundaries - Allocation  Evaluation of GHG emission from the dairy sector with the FAO Results :  First evaluation of emission from dairy  Transparence, robustness in CF studies (Used by France,NZ,US…)  A good base to identify mitigation options
  4. 4. Lesson learned • Farm managment practices matter (more than the type of production system) JB. Dolle, Idele E. Fitzgerald, innovation center for US dairy
  5. 5. Limits • The guide doesn’t give any data base on feed, while feed production represents 20% of the result • The choice of the allocation between milk/meat is still under discussion • The guide doesn’t give any data on carbon storage under grassland • The guide doesn’t give any detail on the uncertainties level
  6. 6. Next step • Expectation : to make progress on these limits within the Livestock partnership • Update the IDF guide in 2013 : new version that will capture the output of the Livestock partnership work
  7. 7. The Waterfootprint issue Work in progress Waterfootprint Question : what is the impact of dairy on water, how can we improve it ?  Development of specific guidelines for dairy, based on existing standards (ISO, UNEP, WFN,WSI)  Decision to stay under the ISO umbrella : - LCA based approach - Stress approach - Quantity and quality Results : 5 points under discussion : - Water inventory - Impact assessment - Data - Cases studies - communication
  8. 8. Points under discussion • Water inventories (flows) : - direct and indirect use (definition) - how to treat water quality (calculate the volume, drivers P/N) - how to treat rain water (evaluate the impact) A. Zonderland Thomassen, Agresearch
  9. 9. Points under discussion • Impact assessment : Water stress index, regional and seasonal specific (environmental relevance, weighting of virtual water) • Data : Source, collection, quality • Case studies : First results already available • Communication of the results : Agregated values reduce relevance
  10. 10. Lesson learned • Feed dominates the water impact for dairy Case study on a French Dairy farm A. Gac, Idele Case study on a US Dairy farm – Blue water A. Asselin, UMSPH
  11. 11. Lesson learned • Water quality is more important in actual methods than water use itself: meaning ? Double counting ? • Lack of data • Consideration of physical flow remain necessary for an appropiation by farmers Case study on a French Dairy farm A. Gac, Idele Total WSA : 291,9 L H2Oe/kg FPCM
  12. 12. Next step • The team need to agree on guidelines to calculate the waterfootprint of dairy : publication summer 2013 • Expectation : include the output of the Livestock partneship work in the IDF futur guide on water
  13. 13. The biodiversity issue Biodiversity Question : what is the link between biodiversity and dairy , how can we improve it ? Development of literature review on biodiversity indicators on dairy farm, Development of a framework and recommendation Results : 2 approaches identified: - LCA land use change, impact on biodiversity (in lign with water/C but still very partial) – negativ impacts only - Ecosystem services (not a full chain approach, more meaning) – positiv impacts only Work just started
  14. 14. Lesson learned on methods based on LCA • Spatial and temporal scale : choice of period, need for spatial differentiation • Methods based mainly on vascular plants • Methods based on abondance of species (all species have the same weight) • Results very dependant of the species you choose ! • Natural vegation is the reference :doesn’t make sense for decision making • Expression/kg of product is difficult as biodiversity needs space !
  15. 15. Lesson learned on ecosytem services approach • 3 Hypothesis Mosaic effects (biodiversity needs complexity) Agro-ecological Structures (relation between abondance of species and % of AEI ) Ecological passages/Corridors (improve species mobilities) + find a link with the impact of farmers practices on biodiversity (pasture managment, stocking rate, pesticides, fertilisers…)
  16. 16. Next step • The team needs to write the literature review : publication end of 2013 • Expectation : include the output of the Livestock partneship work in the IDF publication on biodiversity
  17. 17. Conclusion • Harmonized methods and indicators are very good tools that bring more transparancy, robustness and consistency • The main mitigation potentiel is on farm, so the indicators need to have a meaning for farmers • The final goal is to transfer the knowledge to farmers

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