climate and economic drivers of land use change
DESCRIPTION
John Reilly, Niven Winchester, Adam Schlosser, Qudsia Ejaz MIT Joint Program on the Science and Policy of Global Change Massachusetts Institute of Technology. Climate and Economic Drivers of Land Use Change. North American Carbon Cycle Meeting, Albuquerque, New Mexico 4-6 Feb., 2013. - PowerPoint PPT PresentationTRANSCRIPT
Climate and Economic Drivers of Land Use Change
http://globalchange.mit.edu/
John Reilly, Niven Winchester, Adam Schlosser, Qudsia Ejaz
MIT Joint Program on the Science and Policy of Global ChangeMassachusetts Institute of Technology
Questions or comments?Contact: John Reilly
North American Carbon Cycle Meeting,Albuquerque, New Mexico4-6 Feb., 2013
http://globalchange.mit.edu/ 2
• Population and Income Growth—greater demand, changing consumption patterns—more meat, more land.
• Agricultural productivity growth—more food on less land.• Price driven intensification of production—pasture to feedlots,
dry-land to irrigated, more fertilizer, low value to high value• Climate: Wetter in dry climates, drier in wet climates, or vice
versa, warmer in cold climates, warmer in hot climates• Atmospheric composition: CO2 and crop increase but also
weeds; ozone—damage; nitrogen deposition.• Energy and Climate Policy: higher energy prices, higher
fertilizer and energy costs for agriculture, costs of reducing methane from rice and livestock, nitrous oxide from use of fertilizers
• Land policy: Carbon sequestration/reforestation, forest protection
Drivers
http://globalchange.mit.edu/ 3
MIT EPPA, 16 Region, multiSector CGE model
Downscaling Technique/ Spatial disaggregation algorithm
DYNAMICTERRESTRIAL ECOSYSTEMSMODEL (TEM)
CH4, N2O, Net CO2
from land useCrop, pasture, bioenergy, forestproductivity
Spatial data (0.5º x 0.5º) forland use
Economy-Global Land System Interactions
GHG and Other Pollutantsfrom energy and agriculture/land use
Land use shares for crops, livestock, bioenergy, forestry
CO2, Tropospheric Ozone, Nitrogen depositionTemperature, Precipitation,
Solar Radiation
Coupled Ocean, Atmosphere
Biogeophysical Land Processes
http://globalchange.mit.edu/ 4
Climate, CO2 Concentrations, and Changes in Land Carbon Storage• Land policy gets us another ½ degree of avoided warming.• Not much difference between the no biofuels and biofuels policy. • With land incentives, land is a major sink.• The climate policy also helps largely because we need less land for
crops because of less environmental (ozone) damage.
http://globalchange.mit.edu/ 5
Energy Results• Energy-Only: All
liquid fuels from biomass, large reduction in use, coal w/CCS
• Energy+Land: Less biofuels, some petroleum, less use.
• No-biofuels: similar, more petroleum
http://globalchange.mit.edu/
Land Use
• Main difference in Energy only from No-Policy is more land biofuels, less to cropland.
• Reason is mostly less damage to crops from ozone.
• With Energy+Land significant reforestation, with biofuels further push into crop and pasture land.
• This at cost of higher commodity prices.
http://globalchange.mit.edu/
Regional patterns of change in land carbon
Much loss, especially Africa, Asia
Mostly gain
http://globalchange.mit.edu/
Big Effects on Food Prices When Land Carbon priced
Solid: no-policy Short Dash: Energy-OnlyDots: No biofuels Long Dash:Energy+ Land
Surprising result:No-policy and energy only about the same.
Less environmental damage w/ energy policy, but higher energy and GHG control costs offset benefit to crops.
Energy+Land has big price impacts. w/o biofuels some pressure off.
http://globalchange.mit.edu/
Summary• This is a complex system with many interactions
Climate policy affects climate/atmospheric compositionWhich affects crop/forest/pasture productivityAnd, energy and fertilizer inputsAnd, costs of controlling methane and nitrous oxide
It also affects incomes and food prices.
And these determine both the amount of land used and where crops are grown.
Biofuels and land carbon sequestration are still another element.
• Understanding these linkages is critical to designing policies that don’t have unpleasant surprises.
Data and models well calibrated to data are needed. Models must represent physical processes and economic/social response that will occur through markets and policy