c. Fishery forecasting efforts which utiize ocean color distribu- 

 tion to predict stock availability and fish stock assessment 

 studies where models incorporate oceanographic/environmental 

 conditions. 



d. Fishery/pollution interaction and impact investigations where 

 color imagery shows waste disposal sites and estuarine 

 outflows. 



e. Energy budget/ecosystem modelling approaches for estimating 

 potential fish stock production in upwelling vs. outwelling 

 systems where ocean color is correlated with ship primary pro- 

 duction measurements. 



f. Fishery-related habitat management where quantitative environ- 

 mental information is required, e.g., changes in wetland use as 

 detected and quantified by color imagery. 



g. Marine mammal ecosystem studies, involving food web analyses as 

 traced by color measurements of habitats. 



h. Temporal and spatial monitoring of areas of economic interest 

 between cruises for following catastrophic events (e.g., 

 exceptional cold or exceptional water runoff) where the 

 response in phytoplankton can be seen by satellite color 

 imagery. 



i. Studies where ocean color data are received in quasi real time 

 by scientists at sea for use in planning research operations 

 and by extrapolating in time and space the point source 

 measurements made aboard ship, i.e., a combination of the other 

 MAREX platforms in a field study. 



3.3 WASTE DISPOSAL 



Whether looking at long-term variability, short-term meteorological, or 

 man-induced events, it is essential in terms of the MAREX objectives, to 

 be able to identify principal water mass and frontal systems where bio- 

 logical populations interact in the sea. Characteristics such as 



3-7 



