Fish production in Malaysia increased steadily at 4.5% per annum from 801 000 t in 1985 to 1 280 906 t in 1997. Most of the production was contributed by marine capture fisheries, amounting to 1 168 973 t (91% of total production) in 1997, while the rest (132 700 t or 8%) came from inland fisheries and aquaculture. About 72% of the marine landings, or 837 574 t, were from Peninsular Malaysia while the rest were from the states of Sabah, Sarawak, and the Federal Territory Labuan.
The Food and Agriculture Organization of the United Nations provided funding in support of the development of micro-enterprises in Banate Bay, Iloilo and Southern Iloilo. This project was implemented by the University of the Philippines in the Visayas in coordination with the Banate Bay Resource Management Council, Inc. and the Southern Iloilo Coastal Resource Management Council.
Early program achievements: In 2012 improved technologies enhanced productivity of Bangladesh fish ponds and generated: 2) $92m increase in combined annual income 3) $300 per household income from homestead ponds 3) $6000 more income per hectare from commercial fish ponds 4) $2000 more income per hectare from commercial shrimp ponds
Very preliminary bioeconomic assessments are reported in respect to fishery situation in Kenya. In the case of the shrimp fishery, it is concluded that the contemporary trawler fleet is substantially in excess of that required to maximise fishery profits. The second situation concerns the presently unexploited stock of quality demersal species on the North Kenya Bank. It is concluded that this stock might be sufficient to support a fishery, although involving probably no more than a few vessels.
To reduce discarding of plaice Pleuronectes platessa in the North Sea flatfish fisheries, the major nursery areas were closed to large trawlers in 1995. The area closed was named the ‘Plaice Box’ (PB) and beam trawl effort fell by over 90% , while the exemption fleets of small flatfish beam trawlers, gill netters targeting sole (Solea solea) and shrimp (Crangon crangon) trawlers increased their effort.
A mass-balance model of the trophic structure of San Pedro Bay, Leyte Province, Philippines was constructed using the Ecopath modeling software. The model is composed of 16 ecological groups (13 consumer, 2 producers, 1 detritus groups). The input parameters were obtained from the resource assessments studies conducted in 1994 - 95 and the biomass of Leiognathidae, an important group of small demersal fishes was estimated from trawl survey data using the swept- area method. The model indicated that the average trophic level of the fishery catches is 3.25.
Settlement ponds are used to remove particulate and dissolved nutrients in Australian land-based aquaculture wastewater. At best, marine and brackish water settlement ponds reduce total suspended solids by 60%, but their efficiency is inconsistent. Functional improvements to nutrient removal systems are essential to provide uniform and predictable treatment of flow-through aquaculture wastewater. Furthermore, environmental regulation of discharge from intensive systems in Australia is increasing, providing the impetus to upgrade rudimentary single-step settlement pond systems.
A mass-balance steady-state trophic model of the coastal fisheries ecosystem off the West Coasts of Sabah and Sarawak, Malaysia (10 - 60 m depth) was constructed using the Ecopath software. The ecosystem models were partitioned into 29 ecological/trophic groups. The input values (e.g. biomasses) for selected groups were obtained from the research (trawl) surveys conducted in the area in 1972. The estimated mean trophic level of the fisheries catch for both models is about 3.3.
The biomass of 40 ecological groups, the diet composition of prey and predators, production/biomass (P/B) and consumption/biomass (Q/B) ratios, and catches were used as basic input to parameterize an Ecopath model of the Gulf of Thailand. Following construction of a mass-balance ecosystem model, a time-dynamic simulation model (Ecosim) was used to simulate the impact of change in fishing effort. This was done using time series data to validate the historic fisheries development in the Gulf of Thailand prior to using the model for forward-looking simulations.