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

dc.contributor.author	Chow-Fraser P
dc.contributor.department	Biology
dc.date.accessioned	2025-01-11T20:27:11Z
dc.date.available	2025-01-11T20:27:11Z
dc.date.issued	1986-05-01
dc.date.updated	2025-01-11T20:27:10Z
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.identifier.doi	https://doi.org/10.1139/f86-133
dc.identifier.issn	0706-652X
dc.identifier.issn	1205-7533
dc.identifier.uri	http://hdl.handle.net/11375/30828
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

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