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Applicability of a distributed watershed pollution model in a data-poor environment in Santa Catarina State, Brazil Rev. Bras. Ciênc. Solo
Bacic,Ivan Luiz Zilli; Rossiter,David G.; Mannaerts,Christiaan Mathias.
Intensification of agricultural production without a sound management and regulations can lead to severe environmental problems, as in Western Santa Catarina State, Brazil, where intensive swine production has caused large accumulations of manure and consequently water pollution. Natural resource scientists are asked by decision-makers for advice on management and regulatory decisions. Distributed environmental models are useful tools, since they can be used to explore consequences of various management practices. However, in many areas of the world, quantitative data for model calibration and validation are lacking. The data-intensive distributed environmental model AgNPS was applied in a data-poor environment, the upper catchment (2,520 ha) of the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Soil and water pollution; AgNPS; Pig manure; Simulation modeling; Model calibration; Scenario analysis; Local expert knowledge.
Ano: 2008 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832008000400035
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New Methods for Integrated Models of Animal Disease Control AgEcon
Rich, Karl M..
Accurate assessments of the epidemiological and economic impacts of an animal disease require the incorporation of feedbacks between disease spread and production incentives. This paper motivates a new modeling framework that is sensitive to the dynamics of disease, production decisions and incentives, different livestock production systems, and their interaction through the use of an integrated system dynamics framework. Preliminary simulation results are provided to demonstrate proof-of-concept of such an approach, with additional discussion given on extensions and implications of integrated methods.
Tipo: Conference Paper or Presentation Palavras-chave: Animal disease control; Simulation modeling; System dynamics; Livestock Production/Industries.
Ano: 2007 URL: http://purl.umn.edu/9701
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