MANAGING NUTRIENT LOSSES: SOME EMPIRICAL RESULTS ON THE POTENTIAL WATER QUALITY EFFECTS

Over-application of manure on cropland can cause water quality degradation. This paper reports a modeling approach for assessing tradeoffs among manure storage and handling systems as they relate to the nutrient loadings in cropland runoff, including nitrate losses to groundwater. The CREAMS simulation model provided estimates of nutrient losses. A linear optimization model was used to determine the income-nutrient loss tradeoffs. Six-month storage was profitable for farmers with average-size dairy herds, but compared to daily spreading caused increased nitrate leaching through the soil to groundwater resources. Twelve-month storage systems decreased farm profitability while decreasing the total nitrogen losses from farm fields.Environmental Economics and Policy,

How Does the Limited Base Acre Provision in the 2008 Farm Act Affect Small Farms?

Under the Food, Conservation, and Energy Act of 2008 (Farm Act), U.S. farms with 10 or fewer base acres became ineligible to receive Direct and Countercyclical Payment (DCP) or Average Crop Revenue Election (ACRE) program payments(Section 1101(d) and 1302(d)) from USDA. Limited resource and socially disadvantaged owners are exempt from this “base 10” provision. Eliminating payments on farms with 10 or fewer base acres reduces payments made by USDA Farm Service Agency (FSA) and the cost of administering the DCP and ACRE programs. We examine the characteristics of the farms affected by the limited base acre provision and answer the question: How does the provision affect small farms?US Farm Policy, Limited Base Acres Provision, 2008 Farm Act, Agricultural and Food Policy,

U.S. Peanut Markets Adjust to Policy Reform

With the recent (2002) elimination of the longstanding "marketing quota" system that supported domestic peanut prices at well above world levels, the U.S. peanut sector is in the initial stages of adjusting to a more uncertain, market-oriented environment. At the aggregate level, some early indications are that the adjustment process for U.S. peanut farmers has been difficult, resulting in deep losses of revenue and a rapid exit from peanut production by some producers. In 2003, the value of U.S. peanut production was down 30 percent and prices fell by nearly 25 percent compared with 2001. U.S. peanut planted acreage is at its lowest since 1915, and planted acreage has declined sharply in several important peanut producing States-55 percent in Virginia and nearly 40 percent in Texas since 2001. Peanut production is concentrated geographically, with a relatively small subset of counties in just 7 States accounting for the bulk of output. As a result, changes to the peanut program have potentially important economic implications not just for the individual farm households that produce peanuts, but perhaps for some rural communities as well. At the same time, it appears that adjustment difficulties for many current (and historical) producers may be mitigated by a number of factors, including: (1) an already diversified farm enterprise structure, with peanut (harvested) acreage accounting for an average of only 20 percent of peanut farmers' overall cropland, and a substantial share-72 percent of total household income already coming from off farm sources; (2) lower production costs for some producers stemming from policy-induced reductions in factor or input costs (e.g. land rental rates, seed prices); and (3) government revenue support and asset-loss compensation for current and historical peanut producers. It appears that one of the main difficulties faced by U.S. peanut producers following the elimination of the marketing quota system has been the loss of price stability, and a lack of price transparency and price discovery mechanisms under the new peanut program. Sources of price information and risk management tools -such as futures markets - are not available to peanut producers. Marketing alternatives may also be limited by a concentrated market structure at the buyer/processor level. Beyond detailing the more aggregate-level indicators of market adjustment, examining the adjustment experience and strategies of peanut producers at the household/farm enterprise level represents an opportunity to identify policy and market factors that facilitated or hindered adjustment, and to inform producers and policy-makers contemplating reform in other commodity programs. In particular, other U.S. commodities that are geographically concentrated or have a similar program history of production/import controls (tobacco, sugar, dairy) could draw lessons from the experience of peanut producers. Variations by region, demographic and household financial characteristics, and other factors such as institutional setting "market structure, trading/price discovery institutions, macroeconomic context or market orientation of the economy" are relevant to the analysis of policy reform both in the United States and other countries.peanuts, policy, adjustment, marketing quotas, Agricultural and Food Policy, Crop Production/Industries,

Extended time observations of California marine stratocumulus clouds from GOES for July 1983-1987

One of the goals of the First ISCCP Regional Experiment (FIRE) is to relate the relatively small scale (spatial and temporal) Intensive Field Observations (IFO) to larger time and space domains embodied in the Extended Time Observations (ETO) phase of the experiment. The data analyzed as part of the ETO are to be used to determine some climatological features of the limited area which encompasses the Marine Stratocumulus IFO which took place between 29 June and 19 July 1987 off the coast of southern California

Cloud parameters derived from GOES during the 1987 marine stratocumulus FIRE Intensive Field Observation (IFO) period

The Geostationary Operational Environmental Satellite (GOES) is well suited for observations of the variations of clouds over many temporal and spatial scales. For this reason, GOES data taken during the Marine Stratocumulus Intensive Field Observations (IFO) (June 29 to July 19, 1987, Kloessel et al.) serve several purposes. One facet of the First ISCCP Regional Experiment (FIRE) is improvement of the understanding of cloud parameter retrievals from satellite-observed radiances. This involves comparisons of coincident satellite cloud parameters and high resolution data taken by various instruments on other platforms during the IFO periods. Another aspect of FIRE is the improvement of both large- and small-scale models of stratocumulus used in general circulation models (GCMs). This may involve, among other studies, linking the small-scale processes observed during the IFO to the variations in large-scale cloud fields observed with the satellites during the IFO and Extended Time Observation (ETO) periods. Preliminary results are presented of an analysis of GOES data covering most of the IFO period. The large scale cloud-field characteristics are derived, then related to a longer period of measurements. Finally, some point measurements taken from the surface are compared to regional scale cloud parameters derived from satellite radiances

Satellite-derived cloud and radiation fields over the marine stratocumulus IFO

The Geostationary Operational Environmental Satellite (GOES) is the only source for nearly continuous areal coverage of clouds within the California marine stratocumulus region. The cloud parameters derived from GOES data during the First ISCCP Regional Experiment (FIRE) Marine Stratocumulus Intensive Field Observations (IFO) are summarized

Fruit and Vegetable Planting Restrictions: Do U.S. Farmers Even Notice?

Crop Production/Industries, Food Consumption/Nutrition/Food Safety,

Cloud parameters from GOES visible and infrared radiances during the FIRE Cirrus IFO, October 1986

Visible (VIS, 0.65 micron) and infrared (IR, 10.5 microns) channels on geostationary satellites are the key elements of the International Satellite Cloud Climatology Project (ISCCP). All daytime ISCCP cloud parameters are derived from a combination of VIS and IR data. Validation and improvement of the ISCCP and other cloud retrieval algorithms are important components of the First ISCCP Regional Experiment (FIRE) Intensive Field Observations (IFO). Data from the Cirrus IFO (October 19 to November 2, 1986) over Wisconsin are available for validating cirrus cloud retrievals from satellites. The Geostationary Operational Environmental Satellite (GOES) located over the Equator at approximately 100 deg W provided nearly continuous measurements of VIS and IR radiances over the IFO areas. The preliminary results of cloud parameters derived from the IFO GOES data are presented. Cloud attitudes are first derived using an algorithms without corrections for cloud emissivity. These same parameters will then be computed from the same data relying on an emissivity correction algorithm based on correlative data taken during the Cirrus IFO

Economic Analysis of Base Acre and Payment Yield Designations Under the 2002 U.S. Farm Act

The 2002 Farm Act provided farmland owners the opportunity to update commodity program base acres and payment yields used for calculating selected program benefits. Findings in this report suggest that farmland owners responded to economic incentives in these decisions, selecting those options for designating base acres that resulted in the greatest expected flow of program payments. Decisions of farmland owners in South Dakota, in upland cotton area, and in the Heartland region support the payment-maximization argument. In general, landowners favored maximizing payments over aligning base acres to current or recent plantings. Farmland owners with high-payment base acres, such as rice and cotton, held on to these base acres and, whenever possible, expanded them. Analogously, landowners with low-payment commodity base acres, such as oats and barley, switched to higher payment commodities whenever possible.base, 2002 Farm Act, direct payments, counter-cyclical payments, production flexibility contract payments, base acres, program yields, Agricultural and Food Policy, Farm Management,