ICSF guide book: understanding the Work in Fishing Convention, 2007

This guidebook attempts to provide a quick overview of the Work in Fishing Convention, 2007, which was adopted in Geneva, Switzerland, in June 2007 at the 96th International Labour Conference (ILC) of the International Labour Organization (ILO). It does not purport to provide interpretation of any provisions of the Convention and should not in any way be treated as a substitute for the actual provisions it contains. This guidebook is intended mainly to help those unfamiliar with the Convention and the working of the ILO and the ILC, gain some understanding of the relevant issues. In particular, it is hoped that the guidebook will aid fish workers and their organizations understand the possible benefits and implications of the Convention for artisanal and small-scale fisheries in developing countries.

Active reservoir management: a model solution

Steady-state procedures, of their very nature, cannot deal with dynamic situations. Statistical models require extensive calibration, and predictions often have to be made for environmental conditions which are often outside the original calibration conditions. In addition, the calibration requirement makes them difficult to transfer to other lakes. To date, no computer programs have been developed which will successfully predict changes in species of algae. The obvious solution to these limitations is to apply our limnological knowledge to the problem and develop functional models, so reducing the requirement for such rigorous calibration. Reynolds has proposed a model, based on fundamental principles of algal response to environmental events, which has successfully recreated the maximum observed biomass, the timing of events and a fair simulation of the species succession in several lakes. A forerunner of this model was developed jointly with Welsh Water under contract to Messrs. Wallace Evans and Partners, for use in the Cardiff Bay Barrage study. In this paper the authors test a much developed form of this original model against a more complex data-set and, using a simple example, show how it can be applied as an aid in the choice of management strategy for the reduction of problems caused by eutrophication. Some further developments of the model are indicated.