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| Registros recuperados: 14 | |
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| Timmermann, Karen; Department of Bioscience, Aarhus University, Roskilde, Denmark; kti@dmu.dk; Dinesen, Grete E.; Section for Coastal Ecology, National Institute of Aquatic Science, Technical University of Denmark, Charlottenlund, Denmark; gdi@aqua.dtu.dk; Markager, Stiig; Department of Bioscience, Aarhus University, Roskilde, Denmark; markager@dmu.dk; Ravn-Jonsen, Lars; Department of Environmental and Business Economics, University of Southern Denmark, Esbjerg, Denmark; lrj@sam.sdu.dk; Bassompierre, Marc; Novo Nordisk A/S, Kalundborg, Denmark; mbass@post9.tele.dk; Roth, Eva; Department of Environmental and Business Economics, University of Southern Denmark, Esbjerg, Denmark; er@sam.sdu.dk. |
| Coastal ecosystems worldwide are under pressure from human-induced nutrient inputs, fishing activities, mariculture, construction work, and climate change. Integrated management instruments handling one or more of these problems in combination with socioeconomic issues are therefore necessary to secure a sustainable use of resources. In the Limfjord, a temperate eutrophic estuary in Denmark, nutrient load reductions are necessary to fulfill EU regulations such as the Water Framework Directive (WFD). The expected outcome of these load reductions is an improved water quality, but also reduced production of the abundant stock of filter-feeding blue mussels, Mytilus edulis. This is expected to have significant economic consequences for the million-euro mussel... |
| Tipo: Peer-Reviewed Synthesis |
Palavras-chave: Decision support system; Ecological-socioeconomic model; Eutrophication; Mussel production; Nutrient loading; Predictive models; System-based management; Water Framework Directive. |
| Ano: 2014 |
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| Otto, Lars. |
| We present an economic decision support model, based on a Bayesian network, for Mycoplasma infection in slaughter swine production. The model describes the various risk factors for Mycoplasma infection and their interactions. This leads to a stochastic determination of the consequences of productivity factors, and this again results in stochastic economic consequences when changing the risk factors or engaging in control arrangements. We use the model to calculate how estimated prevalence and level of Mycoplasma changes when we gather evidence from various veterinarian examinations, and we show how this influences the distribution of the economic results of a change in strategy to fight Mycoplasma. One result is that the profitability in fighting... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Decision support system; Bayesian network; Pig; Mycoplasma; Livestock Production/Industries; C11; D81; Q12. |
| Ano: 2005 |
URL: http://purl.umn.edu/24458 |
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| Zorrilla, Pedro; Department of Geodynamics, Faculty of Geological Sciences, Complutense University of Madrid, Spain; pedro.zorrilla@geo.ucm.es; Carmona, Gema; Technical University of Madrid, Department of Agricultural Economics, Spain;; Varela-Ortega, Consuelo; Technical University of Madrid, Department of Agricultural Economics, Spain;; Bromley, John; Oxford University School of Geography and the Environment, Centre for Water Research, United Kingdom;; Henriksen, Hans Jorgen; Geological Survey of Denmark and Greenland (GEUS), Copenhagen, Denmark;. |
| Stakeholder participation is becoming increasingly important in water resources management. In participatory processes, stakeholders contribute by putting forward their own perspective, and they benefit by enhancing their understanding of the factors involved in decision making. A diversity of modeling tools can be used to facilitate participatory processes. Bayesian networks are well suited to this task for a variety of reasons, including their ability to structure discussions and visual appeal. This research focuses on developing and testing a set of evaluation criteria for public participation. The advantages and limitations of these criteria are discussed in the light of a specific participatory modeling initiative. Modeling work was conducted in the... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Bayesian networks; Decision support system; Evaluation; Groundwater management; Guadiana Basin; Participatory modeling; Spain; Water management; Water use conflicts. |
| Ano: 2010 |
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| Carmona, Gema; Varela-Ortega, Consuelo. |
| Water management has evolved in the last years towards more integrated and participatory approaches, aiming at improving the adaptability of water systems. Following this line, we propose a methodology to build a decision support system, based on the participation of stakeholders and the integration of the different disciplines involved in water use, as well as the inclusion of uncertainties in the management planning. The process has been implemented in the Upper Guadiana basin (Spain) with the aim of solving the existing conflicts: the aquifer, which is the main water source in the area, has been over-exploited during the last decades for irrigation. This has lead to serious degradation of natural water-related ecosystems and important social conflicts.... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Decision support system; Bayesian networks; Economic model; Resource /Energy Economics and Policy. |
| Ano: 2008 |
URL: http://purl.umn.edu/43855 |
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| Mollo,MN; Vendrametto,O; Okano,MT. |
| Economic growth and production process development require technological support. Technology changes production functions, enabling a higher number of goods to be produced using the same amount of input. In this review, we discuss research and development in information technology that has led to innovative actions, with the new generation of tools, known as precision agriculture tools, that can be applied in Brazilian poultry production. In this context, research and development have focused on producing technological innovations based on increasingly specialized tools that go beyond human mind power, and are related to the acquisition, access, and processing of a huge number of data. The technology generated to date has assimilated the knowledge of... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Agribusiness; Decision support system; Precision agriculture; Research and development; Technological innovation. |
| Ano: 2009 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2009000400001 |
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| Glória,Leonardo Siqueira; Abreu,Matheus Lima Corrêa; Rocha,Norberto Silva; Oliveira,Tadeu Silva de; Gomes,Raphael dos Santos; Rohem Júnior,Nardele Moreno; Bendia,Laila Cecília Ramos; Fernandes,Alberto Magno. |
| ABSTRACT The objective of this study was to simulate total dry matter intake and cost of diets optimized by nonlinear programming to meet the nutritional requirements of dairy does and growing doelings. The mathematical model was programmed in a Microsoft Excel(r) spreadsheet. Increasing values of body mass and average daily weight gain for growing doelings and increasing body mass values and milk yield for dairy does were used as inputs for optimizations. Three objective functions were considered: minimization of the dietary cost, dry matter intake maximization, and maximization of the efficiency of use of the ingested crude protein. To solve the proposed problems we used the Excel(r) Solver(r) algorithm. The Excel(r) Solver(r) was able to balance diets... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Decision support system; Diet formulation; Diet optimization; Goat nutrition. |
| Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982016000200071 |
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| Registros recuperados: 14 | |
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