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Challenges  and options John Couwenberg Hans Joosten Greifswald University Are emission reductions from  peatlands MRV-able
Stocks & emissions ,[object Object],[object Object],[object Object],[object Object]
Global CO 2  emissions from drained peatlands 2077 63 Total 105 30 3.5 Temperate/tropical peatland forestry 12 1 12 Boreal peatland forestry 60 1 30 Peat extraction 150 30 5 Urbanisation, infrastructure  750 25 30 Peatland agriculture outside SE Asia 400 Peatland fires in SE Asia 600 50 12 Drained peatlands in SE Asia Total CO 2   (Mton y -1 ) CO 2   (ton ha -1  y -1 ) Drained area  (10 6  ha)
Mitigation management options ,[object Object],[object Object],[object Object]
Conservation management  ,[object Object],[object Object],[object Object]
yearly emissions time Reducing the rate of deforestation (rate of reclamation of new areas)
yearly emissions time Reducing the rate of peatland drainage (rate of reclamation of new areas) Peatlands continue emiting  for decades after drainage: Annual emissions are cumulative
Conservation management ,[object Object],[object Object]
Sequestration management ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Substitution management ,[object Object],[object Object],[object Object],[object Object],[object Object]
Peatland management ,[object Object],[object Object],[object Object],[object Object]
Measure drained…
…  and (re-)wet(ted) situation...
frequent, prolonged, intensive
expensive, complex, time consuming
Peenetal Measure pilot sites, develop proxies for the rest
Proxies: water level -120 -100 -80 -60 -40 -20 0 mean annual water level [cm] t CO2 ha -1  y -1 0 10 20 30 40 50 Good proxy for CO 2  emissions: Example temperate Europe
Proxies: water level -100 0 100 200 300 400 500 600 -100 -80 -60 -40 -20 0 20 40 60 mean water level [cm] kg CH 4 ?ha -1 y -1 -2 0 2 4 6 8 10 12 t CO 2 -eq?ha -1 y -1 Good proxy for CH 4  emissions: Example temperate Europe
Proxies: water level Good proxy for  CH 4  emissions: Boreal/temp Europe SEAsia At high water levels differences due to vegetation -0,5 0 1 2 3 CH 4  emission [mg m -2  h -1 ] 0 5 10 15 -100 -80 -60 -40 -20 0 20 water level [cm]
Emissions strongly related to water level  Vegetation strongly related to water level     Use vegetation as indicator for emissions
Proxies: vegetation ,[object Object],[object Object]
Proxies: vegetation ,[object Object],[object Object],[object Object],[object Object],[object Object]
Proxies: vegetation ,[object Object],[object Object],[object Object]
GESTs:  Greenhouse gas Emission Site Types
GESTs with indicator species groups GEST: moderately moist forbs & meadows ,[object Object],[object Object],[object Object],[object Object],[object Object],Each with typical / differentiating species Each GEST with GWP
Proxies: subsidence ,[object Object],[object Object],[object Object]
Proxies: subsidence Oxidative component derived from changes in bulk density and ash content: 0 1 2 3 4 5 6 7 -120 -100 -80 -60 -20 0 subsidence [cm y -1 ] 0 Estimated emission [t CO 2  ha -1  y -1 ] 8 9 10 10 20 30 40 50 60 70 80 90 -40 drainage depth [cm]
Proxies: subsidence ,[object Object],[object Object]
Monitoring emission reductions from rewetting and conservation ,[object Object],[object Object],[object Object],[object Object],[object Object]
Monitoring emission reductions from rewetting and conservation ,[object Object],[object Object],[object Object],[object Object]
Monitoring emission reductions from rewetting and conservation ,[object Object],[object Object],[object Object]
Monitoring by proxies ,[object Object],[object Object],[object Object],[object Object]
Monitoring by proxies ,[object Object],[object Object],[object Object]
Monitoring by proxies ,[object Object],[object Object],[object Object]
Monitoring of proxies ,[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]

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Are emission reductions from peatlands mrv able

  • 1. Challenges and options John Couwenberg Hans Joosten Greifswald University Are emission reductions from peatlands MRV-able
  • 2.
  • 3. Global CO 2 emissions from drained peatlands 2077 63 Total 105 30 3.5 Temperate/tropical peatland forestry 12 1 12 Boreal peatland forestry 60 1 30 Peat extraction 150 30 5 Urbanisation, infrastructure 750 25 30 Peatland agriculture outside SE Asia 400 Peatland fires in SE Asia 600 50 12 Drained peatlands in SE Asia Total CO 2 (Mton y -1 ) CO 2 (ton ha -1 y -1 ) Drained area (10 6 ha)
  • 4.
  • 5.
  • 6. yearly emissions time Reducing the rate of deforestation (rate of reclamation of new areas)
  • 7. yearly emissions time Reducing the rate of peatland drainage (rate of reclamation of new areas) Peatlands continue emiting for decades after drainage: Annual emissions are cumulative
  • 8.
  • 9.
  • 10.
  • 11.
  • 13. … and (re-)wet(ted) situation...
  • 16. Peenetal Measure pilot sites, develop proxies for the rest
  • 17. Proxies: water level -120 -100 -80 -60 -40 -20 0 mean annual water level [cm] t CO2 ha -1 y -1 0 10 20 30 40 50 Good proxy for CO 2 emissions: Example temperate Europe
  • 18. Proxies: water level -100 0 100 200 300 400 500 600 -100 -80 -60 -40 -20 0 20 40 60 mean water level [cm] kg CH 4 ?ha -1 y -1 -2 0 2 4 6 8 10 12 t CO 2 -eq?ha -1 y -1 Good proxy for CH 4 emissions: Example temperate Europe
  • 19. Proxies: water level Good proxy for CH 4 emissions: Boreal/temp Europe SEAsia At high water levels differences due to vegetation -0,5 0 1 2 3 CH 4 emission [mg m -2 h -1 ] 0 5 10 15 -100 -80 -60 -40 -20 0 20 water level [cm]
  • 20. Emissions strongly related to water level Vegetation strongly related to water level  Use vegetation as indicator for emissions
  • 21.
  • 22.
  • 23.
  • 24. GESTs: Greenhouse gas Emission Site Types
  • 25.
  • 26.
  • 27. Proxies: subsidence Oxidative component derived from changes in bulk density and ash content: 0 1 2 3 4 5 6 7 -120 -100 -80 -60 -20 0 subsidence [cm y -1 ] 0 Estimated emission [t CO 2 ha -1 y -1 ] 8 9 10 10 20 30 40 50 60 70 80 90 -40 drainage depth [cm]
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.