P-323 Application of Spatial-Temporal Analysis for the Efficient and Sustainable Development of a Commercial Fishery
In this project we tested the hypothesis that spatial and temporal distribution of commercial catch rate is impacted by environmental (i.e. bathymetry, sea state, surficial geology, and water temperature) and temporal variables (i.e. week, month, season). To do this, we created a GIS in order to correlate logbook data from OCI vessels with environmental data from other sources such as Environment Canada and Natural Resources Canada. Historical catch data of yellowtail flounder, taken from several commercial fishing vessels over the period 2007 to 2009, were examined using geostatistics and advanced spatial and temporal analysis tools. The results of this study will improve understanding of yellowtail flounder commercial catch rate patterns.
The knowledge management system created in this project can help OCI to function in an efficient and sustainable manner by enabling the forecasting of future catch distribution. By knowing where fish are likely to be caught at different times of the year, the company will decrease searching time and fuel use. By spending less time at sea a higher net profit is gained which ensures the long-term sustainability of OCI and the continued employment of rural Newfoundlanders. The results of this study have created a robust decision making tool for industry and provided a baseline of cultural and biological information concerning yellowtail flounder which may be used for future studies.