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20 - Insights from EMF-associated agricultural and forestry greenhouse gas mitigation studies

from Part III - Mitigation of greenhouse gases

Published online by Cambridge University Press:  06 December 2010

Bruce A. McCarl
Affiliation:
Department of Agricultural Economics Texas A&M University
Brian C. Murray
Affiliation:
Department of Agricultural Economics Texas A&M University
Man-Keun Kim
Affiliation:
Department of Agricultural Economics Texas A&M University
Heng-Chi Lee
Affiliation:
Center for Global Trade Analysis, Purdue University 1145 Krannert Building, 403 West State Street, West Lafayette, IN 47907–1145, USA
Ronald D. Sands
Affiliation:
Department of Agricultural Economics Texas A&M University
Uwe A. Schneider
Affiliation:
Hamburg University, Centre of Marine and Atmospheric Sciences
Michael E. Schlesinger
Affiliation:
University of Illinois, Urbana-Champaign
Haroon S. Kheshgi
Affiliation:
ExxonMobil Research and Engineering
Joel Smith
Affiliation:
Stratus Consulting Ltd, Boulder
Francisco C. de la Chesnaye
Affiliation:
US Environmental Protection Agency
John M. Reilly
Affiliation:
Massachusetts Institute of Technology
Tom Wilson
Affiliation:
Electric Power Research Institute, Palo Alto
Charles Kolstad
Affiliation:
University of California, Santa Barbara
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Summary

Introduction

Integrated assessment modeling (IAM) as employed by the Energy Modeling Forum (EMF) generally involves a multi-sector appraisal of greenhouse gas emission (GHGE) mitigation alternatives and climate change effects, typically at the global level. Such a multi-sector evaluation encompasses potential climate change effects, and mitigative actions within the agricultural and forestry (AF) sectors. In comparison with many of the other sectors covered by IAM, the AF sectors may require somewhat different treatment owing to their critical dependence upon spatially and temporally varying resource and climatic conditions. In particular, in large countries like the United States, forest production conditions vary dramatically across the landscape. For example, some areas in the southern United States present conditions favorable to production of fast-growing, heat-tolerant pine species, while more northern regions often favor slower-growing hardwood and softwood species. Moreover, some lands are currently not suitable for forest production (e.g., the arid western plains). Similarly, in agriculture, the United States has areas where citrus and cotton can be grown and other areas where barley and wheat are more suitable. This diversity across the landscape causes differential GHGE mitigation potential in the face of climatic changes and/or responses to policy or price incentives.

It is difficult for a reasonably sized global IAM to reflect the full range of sub-national geographic AF production possibilities alluded to above. AF response in the face of climate change alterations in temperature precipitation regimes plus mitigation incentives will be likely to involve region-specific shifts in land use and agricultural/forest production.

Type
Chapter
Information
Human-Induced Climate Change
An Interdisciplinary Assessment
, pp. 238 - 251
Publisher: Cambridge University Press
Print publication year: 2007

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