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Agricultural and climate change Emissions and solutions in context. Presented by Richard Conant Institute for Sustainable Resources Queensland University of Technology. CO 2 concentrations are increasing: Human activities are driving increases in atmospheric CO 2.
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Agricultural and climate changeEmissions and solutions in context Presented byRichard Conant Institute for Sustainable Resources Queensland University of Technology
CO2 concentrations are increasing: • Human activities are driving increases in atmospheric CO2
CO2 concentrations are increasing: • Population and CO2 emissions
Deriving the Kaya Identity: • Understanding the driving forces for CO2 emissions CO2 emissions ≡ CO2 people person
Deriving the Kaya Identity: • Understanding the driving forces for CO2 emissions Problems • Increased populations • Procreation • Motherhood • Large families • Immigration • Medicine • Public health • Sanitation • Peace • Law and order • Scientific agriculture • Accident prevention (drive 55) • Clean air • Ignorance of the population problem Solutions • Decreased populations • Abstention • contraception/abortion • Small families • Stop immigration • Disease • War • Murder/violence • Famine • Accidents • Pollution (smoking)
Deriving the Kaya Identity: • Understanding the driving forces for CO2 emissions CO2 emissions ≡ GDP CO2 people person GDP
Deriving the Kaya Identity: • Understanding the driving forces for CO2 emissions CO2 emissions ≡ GDP Energy CO2 people person person GDP Energy Just four factors drive CO2emissions: • Population Number of people • Economicprosperity GDP per person • EnergyintensityEnergy per unit of GDP • (energyefficiency of the economy) • Carbonintensity CO2 per unit of energy • (emissionsfromenergy production and use)
Agricultural is different Source: IPCC 2007
The REVISED Kaya identity: • Agriculture is different GHG emissions ≡ GDP Food Energy CO2 GHG people + person person GDP Food Energy food five Just four factors drive CO2emissions: • Population Number of people • Economicprosperity GDP per person • EnergyintensityEnergy per unit of GDP • (energyefficiency of the economy) • Carbonintensity CO2 per unit of energy • (emissionsfromenergy production and use) Food food of food prod. food production system food • GHG intensity CO2, N2O & CH4 per unit food
The REVISED Kaya identity: • Agriculture is different GHG emissions ≡ Food Energy CO2 GHG people + person person Food Energy food Just five factors drive CO2emissions: • Population • Economicprosperity • Energyintensity of foodprod. • Carbonintensity food consumption is increasing (a good thing!) slight declines in developed countries increasing in developing countries slow improvementuntilrecently… • GHG intensity CO2, N2O & CH4 per unit food • GHG intensity
Agricultural emissions Source: IPCC 2007
CO2 concentrations are increasing: • Human activities are driving increases in atmospheric CO2
1975 Rondonia State, Brazil Forest
2001 Rondonia State, Brazil Forest
CO2 Global Carbon Cycle Carbon loss from ecosystems (increasing atmospheric CO2) CO2
Global Carbon Cycle Carbon sequestration in ecosystems (draws down atmospheric CO2) CO2 CO2
2001 Rondonia State, Brazil Forest
The REVISED Kaya identity: • Agriculture is different GHG emissions ≡ Food Energy CO2 GHG people + person person Food Energy food Just five factors drive CO2emissions: • Population • Economicprosperity • Energyintensity of foodprod. • Carbonintensity • GHG intensity • GHG intensity CO2, N2O & CH4 per unit food
The REVISED Kaya identity: • Efficiency of N use • The REVISED Kaya identity: • Efficiency of N use and N2O production OECD BRICS non-OECD World average
The REVISED Kaya identity: • Efficiency of N use and N2O production 2005 OECD BRICS non-OECD 1963
Agriculture and climate change • Emissions and solutions in context – agriculture is different • Emissions are non-point sources of multiple greenhouse gases. • Opportunities for C sequestration and CO2 drawdown. • Reducing food consumption is unlikely and increasing food consumption is often a good thing. • Decarbonization of energy sources has a role in reducing emissions, but it is limited. • Increasing efficiency of our food production systems is central to reducing agricultural GHG emissions.
Agroecosystems research at ISR Regional analysis & Integrated assessment Regional analysis & Integrated assessment Auditing Projections Monitoring sites Auditing Agroecological models Agroecological models Process Studies Interpretation Field Experiments Model Validation Calibration/ improvement Driving variables Past/current regional land use statistics, climate, soil, etc. Past/current regional land use statistics, climate, soil, etc. Agroecozone delineation Future land use scenarios