The calibration of a semi-quantitative approach to fish stock assessment in the North West Region of the NRA

(1) A total of 45 sites was sampled, each being fished using the semi-quantitative and quantitative techniques. (2) A significant relationship existed between the semi-quantitative and Quantitative results for all age groups of salmonids (R2 83.4% to 96.1%, p < 0.0001). (3) The results from each site were categorised according to an existing classification system for quantitative and semi-quantitative data. The semi-quantitative component of this system was modified using the results of this investigation. The degree of error associated with sites classified semi-quantitatively was found to be slightly less when using the modified system for 0+ salmon, > 0+ salmon and 0+ trout, ranging from 10.5% to 30%. (4) Insufficient data points were available for the analysis of coarse fish data.

Integrated farming: a new approach in the Basse Casamance, Senegal

Environmental changes due to 2 decades of drought have modified the ecosystem of the Basse Casamance, Senegal thus forcing farmers to change their practices. They have built fish ponds and diversified into crops such as peanut, millet, sorghum, cassava and vegetables. The ponds have 2 purposes - to protect ricefields against inflow of brackishwater and to raise fish. The fish complements rice, which is the main diet, adding animal protein and serving as a source of income. Although this integrated farming system is little developed at present, it has good potential to rationalize use of the resources available to farmers and to promote interactions between farm enterprises.

Estimating exploitable stock biomass for the Maine green sea urchin (Strongylocentrotus droebachiensis) fishery using a spatial statistics approach

The objective of this study was to investigate the spatial patterns in green sea urchin (Strongylocentrotus droebachiensis) density off the coast of Maine, using data from a fishery-independent survey program, to estimate the exploitable biomass of this species. The dependence of sea urchin variables on the environment, the lack of stationarity, and the presence of discontinuities in the study area made intrinsic geostatistics inappropriate for the study; therefore, we used triangulated irregular networks (TINs) to characterize the large-scale patterns in sea urchin density. The resulting density surfaces were modified to include only areas of the appropriate substrate type and depth zone, and were used to calculate total biomass. Exploitable biomass was estimated by using two different sea urchin density threshold values, which made different assumptions about the fishing industry. We observed considerable spatial variability on both small and large scales, including large-scale patterns in sea urchin density related to depth and fishing pressure. We conclude that the TIN method provides a reasonable spatial approach for generating biomass estimates for a fishery unsuited to geostatistics, but we suggest further studies into uncertainty estimation and the selection of threshold density values.