Steven Rose (EPRI) April 9, 2009 5 th Workshop of the Forestry and Agriculture Greenhouse Gas Modeling Forum, Shepherdstown, WV, April 7-9, 2009 Agriculture.

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Presentation transcript:

Steven Rose (EPRI) April 9, th Workshop of the Forestry and Agriculture Greenhouse Gas Modeling Forum, Shepherdstown, WV, April 7-9, 2009 Agriculture and forestry climate change impacts and adaptation planning – moving beyond gradual and average change

2 © 2009 Electric Power Research Institute, Inc. All rights reserved. Session objective Move beyond evaluating average and gradual biophysical changes Characterize and evaluate uncertainties in… –Observed and projected biophysical conditions (climate, weather, water, ecosystems) –Impacts and adaptation responses and effectiveness Develop a fuller characterization of the risks to agriculture, forests, and unmanaged ecosystems North American focus – to simplify scope

3 © 2009 Electric Power Research Institute, Inc. All rights reserved. Currently capturing gradual changes in temperature levels, rate of change, and CO2 fertilization (e.g., incremental monetized US damages/benefits)

4 © 2009 Electric Power Research Institute, Inc. All rights reserved. Some reasons for all of us to consider ag/forest impacts, and want to do better Inevitability of climate change Variability, extreme weather, disturbance Implications –Baselines – emissions/sequestration, land use, production levels, ecosystem functions –Climate change damages/mitigation benefits –Adaptation policy – non-autonomous –Mitigation/stabilization (offsets, carbon cycle) and renewable fuels potential

5 © 2009 Electric Power Research Institute, Inc. All rights reserved. Are impacts and adaptation inevitable? (i.e., is climate change inevitable?) Even with atmospheric concentrations fixed at 2000 levels, global average temperature is expected to increase 0.3 to 0.9 °C by relative to (IPCC WGI, 2007) Why? Climate inertia Source: IPCC (2007)

6 © 2009 Electric Power Research Institute, Inc. All rights reserved. Inevitability part 2 – economic inertia and significant transformation Global fossil fuel & industrial CO2 emissions Global primary energy consumption Reference Stabilization at 450 ppm CO 2 (~550 CO 2 eq) Source: Clarke et al. (2007), CCSP SAP 2.1a

7 © 2009 Electric Power Research Institute, Inc. All rights reserved. How much will agriculture and forestry “need” to adapt? Depends on… –Level of mitigation – reduction in global climate change risk –Potential local climate and weather change risk – not just levels and rates –Capacity to adapt –Relative impacts on other regions Both autonomous and nonautonomous adaptation –Autonomous: current land owner capacity and knowledge allows for responses that abate or exploit impacts e.g., crop selection and changes in fertilizer or water management practices –Nonautonomous: planned adaptation where institutional or policy actions facilitate adaptation e.g., subsidy programs, extension, infrastructure development, and R&D investment What should be the objective of adaptation? –Maintain production levels? –Maintain income levels? –At what scale? Unique regional climate change and adaptation capabilities imply distributional implications Source: Rose and McCarl (2008)

8 © 2009 Electric Power Research Institute, Inc. All rights reserved. Closed system with uncertainties throughout Uncertainties in linkages and across scales (global to regional to local) Risk = probability x magnitude Source: Rose et al. (2008)

9 © 2009 Electric Power Research Institute, Inc. All rights reserved. Building the risk picture – potential future regional temperature changes Source: IPCC (2007)

10 © 2009 Electric Power Research Institute, Inc. All rights reserved. Uncertain global climate change Global climate Source: Sokolov et al. (2009)

11 © 2009 Electric Power Research Institute, Inc. All rights reserved. Potential future regional climate (e.g., A2 climate scenarios) Source: IPCC WGII, 2007, Chapter 2 (as reported in North (2008) Choices article) Source: North (2008)

12 © 2009 Electric Power Research Institute, Inc. All rights reserved. Source: CCSP SAP 4.3 (2008)

13 © 2009 Electric Power Research Institute, Inc. All rights reserved. Potential corn yield changes Location of mitigation and bioenergy feedstocks? Source: Schlenker and Roberts (2008)

14 © 2009 Electric Power Research Institute, Inc. All rights reserved. Moving forward with characterizing ag/forest climate change risk Regional and local climate and weather change risks Terrestrial ecosystem risks Behavioral and policy Responses & net impacts Global climate Source: Sokolov et al. (2009) Building a better characterization here, depends on the biophysical pieces above Source: IPCC (2007) Socioeconomics define both

15 © 2009 Electric Power Research Institute, Inc. All rights reserved. Also need to consider extreme events

16 © 2009 Electric Power Research Institute, Inc. All rights reserved. Session structure Characterizing Historic Patterns and Trends and the Future Threat or Opportunity –A biophysical characterization of risks in terms of potential exposure to changes in the distributions of 1.Climate and weather (Budong Qian), and 2.Ecosystem function (Linda Joyce, Dennis Ojima) Decision-Making and Managing Risk –Modeling of potential behavioral responses and risk management of the biophysical risks (Robert Beach, Bob MacGregor)