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| Cellina, F; De Leo, Ga; Rizzoli, Ae; Viaroli, P; Bartoli, M. |
| During the last 20, years, intensive mollusk farming has been developed in coastal waters, mostly in sheltered bays and lagoons. Often, mollusk stocks are threatened by frequent anoxic events from macroalgal blooms. Here, a decision support tool is described to select the optimal short-term strategy to control algal biomasses. Even though long-term and detailed studies of the lagoon systems are required to provide reliable, biologically based policies, we have here developed a simplified analysis that overlooks most of the ecological complexity, but explicitly includes environmental variability and uncertainty in parameter estimation in the economic assessment of the performances of different management strategies. The aim is to quickly screen management... |
| Tipo: Text |
Palavras-chave: Gestion d'une floraison macroalgale; Analyse bio-économique; Modélisation stochastique; Ulva rigida; Tapes philippinarum; Algal bloom management; Bioeconomic analysis; Stochastic modelling; Ulva rigida; Tapes philippinarum. |
| Ano: 2003 |
URL: http://archimer.ifremer.fr/doc/00322/43294/43030.pdf |
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| Moss, Joan E.; Binfield, Julian C.R.; Zhang, Lichun; Patton, Myles; Kim, In Seck. |
| Successive Common Agricultural Policy (CAP) reforms and trade liberalisation have led to a more market-orientated European agricultural sector, with EU commodity prices now more closely linked to world prices. As a consequence EU prices have become more volatile. Greater price volatility increases uncertainty and raises fresh challenges for projections of policy impacts in the EU. To take account of world price volatility stochastic modelling has been applied to the FAPRI-EU partial equilibrium model, which includes a UK modelling system. Stochastic modelling provides a means to capture some of the inherent uncertainty associated with agricultural production systems. By varying assumptions about certain exogenous variables, stochastic models can be used to... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Agricultural policy; Stochastic modelling; Agricultural and Food Policy. |
| Ano: 2011 |
URL: http://purl.umn.edu/108771 |
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