Abstract
AbstractStepwise multiple regression analysis has been used to evaluate the relative importance of environmental variables for primary productivity in oceanic areas off Washington and Oregon, USA. Special emphasis has been placed on the area affected by the Columbia River plume. In the plume, a large proportion of the total variability in primary productivity data is explained by only four variables: chlorophyll a, nitrate, depth of the photic zone, and temperature. In ambient sea water, the significant variables are salinity, temperature, solar radiation of the previous day, vertical stability in the upper 100 m, and phosphate. Analysis of the combined data indicates that, in the spring, primary productivity depends on chlorophyll a concentration alone. The results are explained from the biological and physical points of view. The usefulness of multiple regression analysis for marine ecosystem studies appears to be limited.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Internationale Revue der gesamten Hydrobiologie und Hydrographie
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
