(full paper is archived in the Miller Library)
Title: Estimating primary productivity of Monterey Bay using multiple regression techniques
Student Author(s): Fennerty, Rebecca
Faculty Advisor(s): Chavez, Francisco
Location: Final Papers Biology 175H
Date: June 1990
Abstract: Using data collected by Monterey Bay Aquarium Research Institute (MBARI) in Monterey Bay and employing stepwise multiple regression techniques, this study develops several equations that estimate primary productivity for Monterey Bay. The most significant equation, using integrated chlorophyll, photosythetically active radiation (PAR), and surface phaeopigments as variables, explains 77% of the variance in primary productivity measurements. Another equation explains 70% of the variance, using the two variables, PAR and surface chlorophyll + surface phaeopigments, which are both measurable by remote sensing. Tests of these equations on another MBARI data set, which includes oceanic sampling, demonstrates the possible applicability of these equations on a regional scale.