Global aquaculture production increased with an average rate of 10% per year since 1990 and 90% of
aquaculture production comes from developing countries thus providing livelihood and income especially
to marginal groups who have limited access to resources such as agricultural land and financial capital.
Geographical information systems (GIS) based...
Increased attention is being given to the promise of co-management as a means of achieving sustainable
fish stocks while at the same time providing benefits to those dependent on the fishery. At the same time,
the view that co-management represents a continuum between state or user control is being replaced...
The presentation discusses the economic value of Ensemble Streamflow Predictions (ESP) streamflow and energy price forecasts in the operation of the Jackson Hydropower Project in western Washington. A decision support system (DSS) was constructed for this multipurpose reservoir system for the evaluation of operational alternatives and improvement of operational procedures....
The USGS SPARROW model (SPAtially Referenced Regression On Watershed attributes) was used to predict the long-term, average loads, yields, and concentrations of total nitrogen and total phosphorus for stream reaches located in the Pacific Northwest (the Columbia basin, Puget Sound basin, and Pacific drainages of Oregon and Washington), and to...
Fisheries models are generally built to assess the dynamics of a resource with a given fishing mortality
which level can be decided by some “decision maker” and/or which can be an observed process, e.g. times series proportional to some observed values of fishing effort. In these cases, the resource dynamics...
In developed country markets, the consideration of consumer wants has not been prominent hitherto in aquaculture production decisions. Like capture fisheries aquaculture has been product driven. This supply-side focus reflects an emphasis upon technical solutions to the production and capacity problems of high unit value (HUV) species culture. Whilst this...
Published July 1981. Facts and recommendations in this publication may no longer be valid. Please look for up-to-date information in the OSU Extension Catalog: http://extension.oregonstate.edu/catalog
Support Vector Machines (SVM) and Random Forests (RF) have
consistently outperformed other machine learning algorithms on a variety of
problems. SVM can be used for classification and regression on many types of
data (e.g. nonlinear, high dimensional), but cannot handle missing or mixed data.
This research implements a permutation-based variable...
Support Vector Machines (SVM) and Random Forests (RF) have
consistently outperformed other machine learning algorithms on a variety of
problems. SVM can be used for classification and regression on many types of
data (e.g. nonlinear, high dimensional), but cannot handle missing or mixed data.
This research implements a permutation-based variable...
Le projet «système d’information géographique pour les pêcheries en Afrique de l’Ouest » a pour objectif de promouvoir l’utilisation des systèmes d’information géographique comme outil d’aide à la décision en matière d’aménagement des pêcheries. Un rappel préliminaire des critères caractérisant un produit d’aide à la décision (accessibilité technique, disponibilité en...