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Harmonized methods for determining the
environmental footprint of dairy
S. Bertrand
Chair of the IDF Standing Committee on
Environment
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
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
Lesson learned
• Farm managment practices matter (more than the type of production system)
JB. Dolle, Idele E. Fitzgerald, innovation center for US dairy
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
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
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
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
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
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
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
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
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
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 !
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…)
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
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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Harmonized methods for determining the environmental footprint of dairy

  • 1. Harmonized methods for determining the environmental footprint of dairy S. Bertrand Chair of the IDF Standing Committee on Environment
  • 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. 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. Lesson learned • Farm managment practices matter (more than the type of production system) JB. Dolle, Idele E. Fitzgerald, innovation center for US dairy
  • 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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