@article{moline_statistical_1995,
	title = {Statistical analyses of environmental predictors for phytoplankton photosynthetic parameters and productivity in an antarctic time series database},
	volume = {30},
	abstract = {Within the Palmer Long Term Ecological Research Program at Palmer Station, Antarctica, a large database, including a suite of physical, chemical, \& biological variables, was collected at a nearshore station throughout the 1991- 1992 austral summer. Using these variables, stepwise parametric and  randomization regression techniques were employed to generate algorithms to predict the temporal and spatial variability in photosynthetic parameters and productivity. Water density and nutrient concentrations significantly predicted variability in photosynthetic parameters and explained the majority of the production over the season, indicating a strong coupling between productivity and water column stability. The addition of chlorophyll-a increased the significance of the regressions. Phytoplankton accessory pigments were found to only slightly improve the relationships. Results are used to comment on processes controlling primary production and on the utility of empirical approaches for predicting photosynthetic parameters and productivity in the Southern Ocean.},
	number = {5},
	journal = {Antarctic Journal of the United States},
	author = {Moline, Mark A. and Prezelin, Barbara B. and Schofield, Oscar M.},
	year = {1995},
	keywords = {PAL}
}

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