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Published in: Mitigation and Adaptation Strategies for Global Change 6/2013

01-08-2013 | Original Article

Adaptation to climate change: changes in farmland use and stocking rate in the U.S.

Authors: Jianhong E. Mu, Bruce A. McCarl, Anne M. Wein

Published in: Mitigation and Adaptation Strategies for Global Change | Issue 6/2013

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Abstract

This paper examines possible adaptations to climate change in terms of pasture and crop land use and stocking rate in the United States (U.S.). Using Agricultural Census and climate data in a statistical model, we find that as temperature and precipitation increases agricultural commodity producers respond by reducing crop land and increasing pasture land. In addition, cattle stocking rate decreases as the summer Temperature-humidity Index (THI) increases and summer precipitation decreases. Using the statistical model with climate data from four General Circulation Models (GCMs), we project that land use shifts from cropping to grazing and the stocking rate declines, and these adaptations are more pronounced in the central and the southeast regions of the U.S. Controlling for other farm production variables, crop land decreases by 6 % and pasture land increases by 33 % from the baseline. Correspondingly, the associated economic impact due to adaptation is around −14 and 29 million dollars to crop producers and pasture producers by the end of this century, respectively. The national and regional results have implications for farm programs and subsidy policies.
Appendix
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Footnotes
1
The Census of Agriculture reports come out each 5 years, so 2007 is the most recent report available.
 
2
See Pratt and Rasmussen (2001) for definition and calculation of the stocking rate for each animal.
 
3
For example, when the dependent variable in our model is from 1987, we use the seasonal averaged climate over 1985–1987, and similarly with the other four agricultural census data.
 
4
\( THI = 0.8*Ta + \left( {RH/100} \right)*\left( {Ta - 14.3} \right) + 46.4 \), where\( RH = \left( {6.1121} \right)*{e^{ \wedge }}\left( {18.678 - Ta/234.5} \right)\left( {Ta/\left( {257.14 + Ta} \right)} \right) \) and Ta = temperature in °C and RH is the relative humidity. When we construct the THI index, we convert our temperature data in to Celsius degree.
 
5
This assumption is strong. However, we use it to evaluate economic values as a reference level.
 
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Metadata
Title
Adaptation to climate change: changes in farmland use and stocking rate in the U.S.
Authors
Jianhong E. Mu
Bruce A. McCarl
Anne M. Wein
Publication date
01-08-2013
Publisher
Springer Netherlands
Published in
Mitigation and Adaptation Strategies for Global Change / Issue 6/2013
Print ISSN: 1381-2386
Electronic ISSN: 1573-1596
DOI
https://doi.org/10.1007/s11027-012-9384-4

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