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Registros recuperados: 6
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Prediction of Weather Event Associated Crop Yield Losses in Kansas AgEcon
Wang, Erda; Williams, Jimmy R.; Little, Bertis B..
The Environmental Policy Integrated Climate (EPIC) model was modified to include hail weather events, completing modification needed to simulate the four most frequent causes of crop yield loss (hail, too wet, too cold, too dry) in the Kansas crop insurance program. Yields were simulated for corn, wheat, soybeans, and sorghum.
Tipo: Conference Paper or Presentation Palavras-chave: Crop Production/Industries.
Ano: 2005 URL: http://purl.umn.edu/35467
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PRECISION FARMING AS A TOOL IN REDUCING ENVIRONMENTAL DAMAGES IN DEVELOPING COUNTRIES: A CASE STUDY OF COTTON PRODUCTION IN BENIN AgEcon
Gandonou, Jean-Marc; Dillon, Carl R.; Harman, Wyatte L.; Williams, Jimmy R..
Government subsidies designed to encourage cotton production in Benin have resulted in unsustainable agricultural production practices. Properly introduced, precision farming technology can help farmers improve their management practices and stop the damages being done to the environment. An economic analysis of the impacts of subvention policies is performed. Results show that an increase in input cost has a marginal impact on farmers' production strategy.
Tipo: Conference Paper or Presentation Palavras-chave: Crop Production/Industries; Environmental Economics and Policy.
Ano: 2004 URL: http://purl.umn.edu/20086
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The Agricultural Policy Environmental EXtender (APEX) Model: An Emerging Tool for Landscape and Watershed Environmental Analyses AgEcon
Gassman, Philip W.; Williams, Jimmy R.; Wang, Xiuying; Saleh, Ali; Osei, Edward; Hauck, Larry M.; Izaurralde, R. Cesar; Flowers, Joan D..
The Agricultural Policy Environmental eXtender (APEX) model was developed by the Blacklands Research and Extension Center in Temple, Texas. APEX is a flexible and dynamic tool that is capable of simulating a wide array of management practices, cropping systems, and other land use across a broad range of agricultural landscapes, including whole farms and small watersheds. The model can be configured for novel land management strategies, such as filter strip impacts on pollutant losses from upslope cropfields, intensive rotational grazing scenarios depicting movement of cows between paddocks, vegetated grassed waterways in combination with filter strip impacts, and land application of manure removal from livestock feedlots or waste storage ponds. A...
Tipo: Report Palavras-chave: APEX; Best management practices; Farm and watershed simulations; Soil carbon; Water quality; Environmental Economics and Policy.
Ano: 2009 URL: http://purl.umn.edu/49156
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Economic Potential of Greenhouse Gas Emission Reductions: Comparative Role for Soil Sequestration in Agriculture and Forestry AgEcon
Schneider, Uwe A.; McCarl, Bruce A.; Murray, Brian C.; Williams, Jimmy R.; Sands, Ronald D..
We use the Agricultural Sector Model to analyze the economic potential of soil carbon sequestration as one of several agricultural greenhouse gas emission mitigation strategies, including afforestation. For low incentives on carbon emission savings, agricultural soil carbon sequestration is the most cost-efficient strategy. As incentive levels increase above $50 per ton of carbon equivalent, afforestation and biofuel production become the key strategies, while the role of soil carbon diminishes. If saturating sinks are discounted based on their net present value, the competitive economic equilibrium among agricultural mitigation strategies shifts away from soil carbon sequestration and afforestation and toward more biofuel production. Regardless of the...
Tipo: Working or Discussion Paper Palavras-chave: Afforestation; Agricultural Sector Model; Carbon sequestration dynamics; Economic potential; Emission leakage; Greenhouse gas emission mitigation; Sink saturation; Technical potential; Volatility; Environmental Economics and Policy.
Ano: 2001 URL: http://purl.umn.edu/18378
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Validation of EPIC for Two Watersheds in Southwest Iowa AgEcon
Kramer, L.A.; Gassman, Philip W.; Chung, S.W.; Williams, Jimmy R.; Gu, R..
The Erosion Productivity Impact Calculator (EPIC) model was validated using long-term data collected for two southwest Iowa watersheds in the Deep Loess Soil Region, which have been cropped in continuous corn Zea Mays L. under two different tillage systems (conventional tillage and ridge-till). The annual hydrologic balance was calibrated for both watersheds during 1988-94 by adjusting the runoff curve numbers and residue effects on soil evaporation. Model validation was performed for 1976-87, using both summary statistics (means or medians) and parametric and nonparametric statistical tests. The errors between the 12-year predicted and observed means or medians were less than 10 percent for nearly all of the hydrologic and environmental indicators, with...
Tipo: Working or Discussion Paper Palavras-chave: Resource /Energy Economics and Policy.
Ano: 1995 URL: http://purl.umn.edu/18399
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Historical Development and Applications of the EPIC and APEX Models AgEcon
Gassman, Philip W.; Williams, Jimmy R.; Benson, Verel W.; Izaurralde, R. Cesar; Hauck, Larry M.; Jones, C. Allan; Atwood, Jay D.; Kiniry, James R.; Flowers, Joan D..
The development of the field-scale Erosion Productivity Impact Calculator (EPIC) model was initiated in 1981 to support assessments of soil erosion impacts on soil productivity for soil, climate, and cropping conditions representative of a broad spectrum of U.S. agricultural production regions. The first major application of EPIC was a national analysis performed in support of the 1985 Resources Conservation Act (RCA) assessment. The model has continuously evolved since that time and has been applied for a wide range of field, regional, and national studies both in the U.S. and in other countries. The range of EPIC applications has also expanded greatly over that time, including studies of (1) surface runoff and leaching estimates of nitrogen and...
Tipo: Working or Discussion Paper Palavras-chave: APEX; Carbon sequestration; Climate change; EPIC; Modeling; Soil erosion; Water quality; Research Methods/ Statistical Methods.
Ano: 2005 URL: http://purl.umn.edu/18372
Registros recuperados: 6
Primeira ... 1 ... Última
 

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