Agricultural Adaptation to a Changing Climate: Economic and Environmental Implications Vary by U.S. Region
by
Scott Malcolm,
Elizabeth Marshall,
Marcel Aillery,
Paul Heisey,
Michael Livingston, and
Kelly Day-RubensteinEconomic Research Report No. (ERR-136) 84 pp, July 2012
What Is the Issue?
Agricultural production has always been affected by variability
in weather, and U.S. farmers have adopted production practices and
strategies appropriate to their local climate. The weather that
shapes the structure of U.S. agricultural production, however, is
changing along with world climatic conditions. Climate models
predict increases in average temperatures worldwide, with
wide-ranging impacts on local temperature and rainfall. Whether
such changes present a risk to food supplies,farmer livelihoods,
and rural communities depends partly on the direction, magnitude,
and rate of such changes, but also on the agricultural sector's
responsiveness to changing yield and productivity patterns,
production costs, and resource availability. Adaptive behaviors
will allow producers to mitigate costs of climate change and even
to capitalize on new opportunities. The introduction of crop
varieties better adapted to new growing conditions could facilitate
this transition.
What Did the Study Find?
The projected impacts of climate change in 2030 vary widely both
across climate scenarios and across regions within a single
scenario, primarily due to the direction and magnitude of
precipitation changes. Farmers' ability to alter crops, rotations,
and production practices enables them to lessen the impact of
changes in local weather, resource conditions, and price signals.
Redistributing production across regions can greatly mitigate the
impact of climate change on national agricultural markets. Such
redistribution, however, will alter land use and environmental
quality. Key findings (with ranges expressed across different
climate scenarios) include:
• National acreage changes when farmers adapt are relatively
small across climate change scenarios (from 0.2 to 1.0 percent
compared with the baseline), although acreage changes vary
considerably by region. Crop acreage and planting patterns in the
Corn Belt and Northern regions, in general, are less sensitive to
climate change than in Southern regions, where yield changes have a
wider range across crops (for example, acreage changes in the Delta
region range from -9.8 to 5.0 percent). Acreage changes indicate
considerable capacity in the agricultural system to reallocate crop
production in response to shifting conditions.
• Although climate change leads to higher prices for corn and
soybeans under hotter, drier scenarios as a result of considerably
lower national yields, adaptation to climate change dampens the
rise in prices for most commodities.
• Aggregate national returns to crop production decline with the
increasing severity of the climate change scenario. The same trend
holds for the Corn Belt, which accounts for over half of all
returns to U.S. field crop production. The complex interaction
between regional yield changes, markets, and production
options-combined with the Corn Belt's large production-creates a
larger absolute impact than in other regions, although the
percentage decline in returns is smaller than in other regions.
Changes in returns vary in the other regions, however, with no
direct correspondence to the magnitude of the scenario's
temperature and precipitation change. This is due to shifts in the
economic attractiveness of crops in regions other than the Corn
Belt.
• Aggregate impacts of climate change on net returns to crop
farmers range from an estimated increase of $3.6 billion to a loss
of $1.5 billion per year, under the four climate change scenarios.
Spread and redistribution of agricultural pests may reduce these
returns by $1.5 billion to $3.0 billion.
• Regionally, crop sector impacts from climate change are likely
to be greatest in the Corn Belt, with annual losses ranging from
$1.1 billion to $4.1 billion across scenarios. Heightened damage
from crop pests could lead to additional losses of $400 million to
$600 million in that region. Economic effects in other regions may
be positive or negative, depending on how well crop rotation and
tillage practices accommodate changes in temperature and
precipitation and how market-mediated prices change for predominant
regional crops. Drought-tolerant varieties increase returns
nationally and in regions that plant them, indicating that further
development of drought-tolerant varieties could be benefi cial
under a wide range of adverse climate changes.
• Changes in crop production result in and reflect changes in
crop prices. Soybean markets may be particularly sensitive,with
estimated price effects ranging from -4 to 22 percent. Corn prices
are estimated to change between -2 and 6 percent, while wheat
prices are estimated to decline across all four scenarios. Shifting
agricultural pest populations cause the price range to widen and
crop prices to increase for all crops except cotton. The
availability of drought-tolerant crop varieties is estimated to
reduce prices.
• Climate change is projected to slightly increase aggregate
natural resource and environmental impacts from U.S. agricultural
production, although local effects may be more signifi cant.
Cropland area is projected to expand 0.2-1.0 percent, while
nitrogen fertilizer losses are projected to grow 1.4-5.0 percent.
Rainfall-related soil erosion changes range from -0.9 to 1.2
percent above baseline levels. The disproportionate change in
nitrogen loss to water relative to acreage expansion refl ects
changes in regional crop distribution, input use, and the varying
impacts of changes in production practices.
This report focuses on how crop farmers will adapt to changing
climate conditions and how extensively changing pest pressures and
emergent technologies such as drought-resistant crops might alter
the benefi ts of adaptation. While interactions between the crop
and livestock sectors are included in the analysis, changes in the
livestock sector are not the focus of the report. Consumers will
likewise be affected by adjustments in both the crop and livestock
sectors. Livestock producers will see changes in the prices they
pay for feed, and retail food prices will adjust to commodity price
changes. Our climate change analysis focused on the yield-related
impacts associated with increased average temperatures, regional
changes in average precipitation, increased carbon dioxide
concentration in the atmosphere, the expanded incidence of pests,
and the market-mediated price impacts that arise from regional
shifts in crops and practices. Model limitations precluded analysis
of yield impacts from the potential increase in extreme weather
events, nor could the analysis address the potential for, and
constraints to, expanding irrigated acreage and water use, which is
particularly important in the Western United States where there is
already significant competition for water resources.
How Was the Study Conducted?
Downscaled climate projections from four different general
circulation models-based on the Intergovernmental Panel on Climate
Change's (IPCC) Special Report on Emissions Scenarios (SRES) A1B
emissions scenario-represent possible climate futures in the United
States. A crop-growth simulator-the Environmental Productivity and
Integrated Climate (EPIC) model-is used to estimate the effect on
crop yields of associated weather patterns resulting from each
climate projection and a suite of environmental indicators
associated with each regional production enterprise, which consists
of a single crop rotation/tillage/fertilizer regime. Climate
projections, historical climate data, and Agricultural Resource
Management Survey (ARMS) data are also used to estimate cost and
yield impacts associated with potential changes in the geographic
distribution and severity of pest and disease outbreaks resulting
from climate change. The Regional Environment and Agriculture
Programming (REAP) model-a mathematical programming model of the
U.S. agricultural sector-is then used to project shifts in regional
agricultural production given climate-induced changes in crop
productivity patterns and price/demand feedback from national
commodity and livestock markets. REAP also allows researchers to
estimate the impact on national agricultural production, crop
prices, regional farmer income, and-in combination with EPIC
results-regional indicators of environmental quality.