An Empirical Model to Predict in situ Grazing Rates of Diaptomus minutus Lilljeborg on Small Algal Particles

Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/30828

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DC Field	Value	Language
dc.contributor.author	Chow-Fraser P	-
dc.date.accessioned	2025-01-11T20:27:11Z	-
dc.date.available	2025-01-11T20:27:11Z	-
dc.date.issued	1986-05-01	-
dc.identifier.issn	0706-652X	-
dc.identifier.issn	1205-7533	-
dc.identifier.uri	http://hdl.handle.net/11375/30828	-
dc.description.abstract	An empirical model constructed to predict grazing rate as a function of the relative proportion of small (<10mu m) to large (10-30mu m) algal particles in the nanoplankton accurately predicted diaptomid grazing rates for 3 lakes in an independent lake set; but produced overestimates for 2 other lakes. There was also a significant positive correlation between grazing rate and the biomass concentration of small algae in the lakes. -from Author	-
dc.publisher	Canadian Science Publishing	-
dc.subject	31 Biological Sciences	-
dc.subject	3103 Ecology	-
dc.title	An Empirical Model to Predict in situ Grazing Rates of Diaptomus minutus Lilljeborg on Small Algal Particles	-
dc.type	Article	-
dc.date.updated	2025-01-11T20:27:10Z	-
dc.contributor.department	Biology	-
dc.identifier.doi	https://doi.org/10.1139/f86-133	-
Appears in Collections:	Biology Publications

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