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The carbohydrate‐to‐protein ratio as a biological indicator of water movement
Authors:Rod L Oliver  Jacco C Kromkamp
Institution:1. Murray‐Darling Freshwater Research Centre , P. O. Box 921, Albury, NSW, Australia;2. University of Amsterdam, Laboratory of Microbiology , Nieuwe Achtergracht 127, Amsterdam, 1018 WS, The Netherlands;3. Department of Botany , University of Bristol , BristoL, BS8 1UG, United Kingdom
Abstract:We investigated temporal (day‐to‐day and season) and spatial (reach) variability of drift with the aim of guiding sampling protocol for quantifying drift at the whole river or reach scale. Overall, we found aquatic drift density and biomass varied considerably seasonally (CV = 72.9, 88.1) and to a lesser extent spatially (CV = 31.3, 30.7) and from day‐to‐day (CV = 45.2, 39.4). Although spatial and day‐to‐day variation in drift density and biomass were similar, sampling logistics suggest spatial sampling would be more cost‐effective and less time consuming. Drift density and biomass estimated from top samplers was often higher than estimates from samplers near the streambed or mid‐water column. A reliable estimate of mean densities and biomass at a site may require only two samplers— a top sampler and either a middle or bottom sampler. In our study, we calculated that sampling at four sites over 1 or 4 days at one site would be required to obtain a 95% CI within 50% of the mean drift density. Eight sites over 1 or 10 days at one site would be required to achieve a 95% CI within 25% of the mean drift density.
Keywords:temporal variation  spatial variation  invertebrates  sampling  aquatic invertebrate drift
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