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Cover: Application of remotely sensed closely coupled biological and physical processes for marine fishery resources exploration

Natural variations in fish stocks are caused by complex interactions of oceanic physical, chemical and biological processes. The prediction of marine ecosystem structures and functions depends on a thorough understanding of the physical and biological processes which govern the abundance, distribution and productivity of the organisms on a wide range of time and space scales. Laurs et al. (1984) used National Oceanic and Atmospheric Administration Advanced Very Resolution Radiometer (NOAA AVHRR) and Coastal Zone Colour Scanner (CZCS) data to demonstrate the role of oceanic frontal structures in the habitat and migration patterns of albacore tuna. They observed that tuna resources are distributed in vicinity of fronts in clear and relatively warm waters. Arnone (1987) used CZCS and AVHRR data to understand the relationship between chlorophyll concentration (CC) and sea surface temperature (SST). The classification of water mass appears to be associated with different biological and physical processes. Synergistic analysis of Sea-viewing Wide Field-of-View Sensor (SeaWiFS) derived CC and NOAA AVHRR derived SST for fishery resources exploration was carried out by Solanki et al. (2001b). They observed that CC features coincided with temperature boundaries at some locations. Satellite-derived CC and SST were used to understand the inter-relationship between the two variables (Solanki et al. 1998), and found an inverse relationship between them. Solanki et al. (2001a) developed an approach for integration of CC and SST features for fishery resources exploration using Ocean Colour Monitor (OCM) derived CC and AVHRR-derived SST. The understanding of coupling of physical to biological processes in ocean ecosystems at the local scale is limited. Hence, there is a need to understand the influence of biophysical processes on marine ecosystem dynamics in order to predict the response of the ecosystem to food production. A combination of field studies using remotely sensed derived variables and modelling efforts may address this goal. In this paper we focused on remotely sensed information of closely coupled biophysical processes for fishery resources exploration.