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New Zealand Journal of Marine and Freshwater Research abstracts


Predicting rates of primary production in the vicinity of the Subtropical Convergence east of New Zealand

MARK GALL
IAN HAWES

National Institute of Water & Atmospheric
 Research Ltd
P. O. Box 8602, Riccarton
Christchurch, New Zealand
email: m.gall@niwa.cri.nz
email: i.hawes@niwa.cri.nz

PHILIP BOYD

National Institute of Water & Atmospheric
 Research Ltd
Centre for Chemical and Physical  Oceanography
Department of Chemistry, University of Otago
Dunedin, New Zealand
email: p.boyd@niwa.cri.nz

Abstract  Water column integrated productivity of phytoplankton in three water masses east of New Zealand (Subtropical, Subtropical Convergence, and Subantarctic) varied both seasonally and spatially, ranging across two orders of magnitude. Productivity was highest in spring and autumn, and lowest in winter. Subtropical and Convergence waters were generally more productive than Subantarctic waters, but during summer the 2-3-fold range of production was similar in each of the three water masses. Multiple regression analysis identified that most of the variability in production was associated with differences in integrated chlorophyll a concentrations (56%). By considering both surface chlorophyll a and incident irradiance we derived a relationship which explained 74% of observed spatial and seasonal variability in integrated production. These surface variables can be sensed remotely, suggesting the potential for broad spatial mapping of the seasonal cycles of production in these water masses in the New Zealand Exclusive Economic Zone (NZEEZ). Further analysis of the relationship identified that most of the remaining variability could be attributed to    (a temperature-dependent photoadaptive term). Exceptions to the relationship and the application of productivity models within NZEEZ are discussed.

Keywords  photosynthesis; P-E; Subtropical Convergence; modelling; New Zealand

M98042
Received 14 July 1998; accepted 9 March 1999

PDF file of entire paper: medium quality (1363K); (scanned from paper original: notes about this process)


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