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Registros recuperados: 8
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Genetic data, reproduction season and reproductive strategy data support the existence of biological species in Ophioderma longicauda ArchiMer
Weber, Alexandra Anh-thu; Stohr, Sabine; Chenuil, Anne.
Cryptic species are numerous in the marine environment. The brittle star Ophioderma longicauda is composed of six mitochondrial lineages, encompassing brooders, which form a monophyletic group, and broadcasters, from which the brooders are derived. To clarify the species limits within O. longicauda, we compared the reproductive status of the sympatric lineages L1 and L3 (defined after sequencing a portion of the mitochondrial gene COI) during the month of May in Greece. In addition, we genotyped a nuclear marker, intron i51. Each L3 female was brooding, whereas all L1 specimens displayed full gonads, suggesting temporal pre-zygotic isolation between brooders and broadcasters. Statistical differences were found among lineages in morphology and bathymetric...
Tipo: Text Palavras-chave: Ophiuroidea; Espèces cryptiques; Espèce incubante; Sous-unité I de la cytochrome oxydase; EPIC; Ophiuroidea; Cryptic species; Brooding species; Cytochrome oxidase subunit I; EPIC.
Ano: 2014 URL: https://archimer.ifremer.fr/doc/00372/48271/48576.pdf
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Can Dispersed Biomass Processing Protect the Environment and Cover the Bottom Line for Biofuel? AgEcon
Egbendewe-Mondzozo, Aklesso; Swinton, Scott M.; Bals, Bryan D.; Dale, Bruce E..
This paper compares environmental and profitability outcomes for a centralized biorefinery for cellulosic ethanol that does all processing versus a biorefinery linked to a decentralized array of local depots that pretreat biomass into concentrated briquettes. The analysis uses a spatial bioeconomic model that maximizes predicted profit from crop and energy products, subject to the requirement that the biorefinery must be operated at full capacity. The model draws upon biophysical crop input-output coefficients simulated with the EPIC model, as well as input and output prices, spatial transportation costs, ethanol yields from biomass, and biorefinery capital and operational costs. The model was applied to 82 cropping systems simulated across 37...
Tipo: Working Paper Palavras-chave: Biomass production; Bioenergy supply; Cellulosic ethanol; Environmental trade-off analysis; Bioeconomic modeling; EPIC; Spatial configuration; Local biomass processing; Crop Production/Industries; Environmental Economics and Policy; Production Economics; Resource /Energy Economics and Policy; Q16; Q15; Q57; Q18.
Ano: 2011 URL: http://purl.umn.edu/119348
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ECONOMIC AND ENVIRONMENTAL BENEFITS OF VARIABLE RATE APPLICATION OF NITROGEN TO CORN FIELDS: ROLE OF VARIABILITY AND WEATHER AgEcon
English, Burton C.; Mahajanashetti, S.B.; Roberts, Roland K..
The use of meta-response functions based on EPIC-generated data resulted in comparisons between variable (VRAT) and uniform rate application technologies for 36 simulated fields. VRAT was more profitable and less nitrogen was lost to the environment in most cases. When spatial variability was small, uniform rate application techniques were adopted. However, when nitrogen use is restricted, VRAT is used on all simulated fields.
Tipo: Conference Paper or Presentation Palavras-chave: Precision farming; Site-specific farming; Spatial variability; Nitrogen restriction; Rainfall; EPIC; Crop growth simulation model; Meta-response functions; Environmental Economics and Policy; Research and Development/Tech Change/Emerging Technologies; Resource /Energy Economics and Policy.
Ano: 1999 URL: http://purl.umn.edu/21533
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Biomass Supply from Alternative Cellulosic Crops and Crop Residues: A Preliminary Spatial Bioeconomic Modeling Approach AgEcon
Egbendewe-Mondzozo, Aklesso; Swinton, Scott M.; Izaurralde, R. Cesar; Manowitz, David H.; Zhang, Xuesong.
This paper introduces a spatial bioeconomic model for study of potential cellulosic biomass supply at regional scale. By modeling the profitability of alternative crop production practices, it captures the opportunity cost of replacing current crops by cellulosic biomass crops. The model draws upon biophysical crop input-output coefficients, price and cost data, and spatial transportation costs in the context of profit maximization theory. Yields are simulated using temperature, precipitation and soil quality data with various commercial crops and potential new cellulosic biomass crops. Three types of alternative crop management scenarios are simulated by varying crop rotation, fertilization and tillage. The cost of transporting biomass to a specific...
Tipo: Working or Discussion Paper Palavras-chave: Biomass production; Bioenergy supply; Biofuel policy; Bioenergy; Cellulosic ethanol; Agro-ecosystem economics; Ecosystem services economics; Agro-environmental trade-off analysis; Mathematical programming; EPIC; Agricultural and Food Policy; Crop Production/Industries; Environmental Economics and Policy; Land Economics/Use; Production Economics; Resource /Energy Economics and Policy; Q16; Q15; Q57; Q18.
Ano: 2010 URL: http://purl.umn.edu/98277
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Managing Expected Switchgrass Biomass Yield Variability by Strategically Selecting Land to Lease AgEcon
Debnath, Deepayan; Stoecker, Arthur L.; Epplin, Francis M..
Biorefineries that plan to use switchgrass exclusively will have to account for year-to-year variability in feedstock production. The objective of this research is to determine the quantity, class, and location of land to lease for switchgrass production to provide for the needs of a biorefinery. The firm could elect to lease land based on average switchgrass yields or to lease to attempt to insure that even in the worst case (based on historical data) production year the area leased will produce sufficient feedstock to fully provide for the needs of the biorefinery. EPIC was used to generate empirical distributions of switchgrass biomass yields for three land classes for each of 30 counties. Mathematical programming was used to address the objectives and...
Tipo: Presentation Palavras-chave: EPIC; Mathematical programming; Switchgrass; Yield variability; Crop Production/Industries; Land Economics/Use; Risk and Uncertainty; Q42; Q12.
Ano: 2012 URL: http://purl.umn.edu/124230
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Investment in Irrigation Systems under Weather Uncertainty AgEcon
Heumesser, Christine; Fuss, Sabine; Szolgayova, Jana; Strauss, Franziska; Schmid, Erwin.
Irrigated agriculture will play a crucial role to meet future food demand, but a sustainable water resource management in agriculture is crucial as well. Therefore, the European Water Framework Directive promotes several measures, e.g., the adoption of adequate water pricing mechanisms or the promotion of water-saving irrigation techniques. Since production conditions such as weather and climate development are uncertain, farmers might be reluctant to invest in a water-saving but capital intensive irrigation system. We apply a stochastic dynamic programming approach to analyze a farmer’s optimal investment strategy for either a water–saving drip irrigation system or sprinkler irrigation system under weather uncertainty and assess the probability of...
Tipo: Conference Paper or Presentation Palavras-chave: Irrigation investment; Stochastic dynamic programming approach; Water policies; Weather uncertainty; EPIC; Farm Management; Risk and Uncertainty.
Ano: 2011 URL: http://purl.umn.edu/114536
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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
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CLIMATE CHANGE IMPACTS ON US AGRICULTURE AgEcon
Beach, Robert H.; Thomson, Allison M.; McCarl, Bruce A..
There is general consensus in the scientific literature that human-induced climate change has taken place and will continue to do so over the next century. The Fourth Assessment Report (AR4) of the Intergovernmental Panel on Climate Change concludes with “very high confidence” that anthropogenic activities such as fossil fuel burning and deforestation have affected the global climate. The AR4 also indicates that global average temperatures are expected to increase by another 1.1°C to 5.4°C by 2100, depending on the increase in atmospheric concentrations of greenhouse gases that takes place during this time. Increasing atmospheric carbon dioxide levels, temperature increases, altered precipitation patterns and other factors influenced by climate have...
Tipo: Conference Paper or Presentation Palavras-chave: Climate change; Crop yields; EPIC; FASOM; Crop Production/Industries; Environmental Economics and Policy; International Relations/Trade; Land Economics/Use; Resource /Energy Economics and Policy; C61; Q18; Q54.
Ano: 2010 URL: http://purl.umn.edu/91393
Registros recuperados: 8
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