2007
DOI: 10.1017/s0025315407055348
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Assessing sources of variation underlying estimates of cetacean diet composition: a simulation study on analysis of harbour porpoise diet in Scottish (UK) waters

Abstract: We use a bootstrap simulation framework to evaluate the relative importance of different sources of random and systematic error when estimating diet or food consumption of cetaceans, using a data set on harbour porpoise diet in Scottish (UK) waters from 1992–2003 (N=180) as a model. We also evaluate the consequences of applying explicit weightings to individual samples and/or sub-sets (‘strata’) of samples. In terms of the precision of estimates of diet composition, sampling error was the most important source… Show more

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Cited by 26 publications
(21 citation statements)
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“…For a discussion of the issue and the consequences of applying different weightings see Pierce et al . () and Tollit et al . ().…”
Section: Methodsmentioning
confidence: 92%
“…For a discussion of the issue and the consequences of applying different weightings see Pierce et al . () and Tollit et al . ().…”
Section: Methodsmentioning
confidence: 92%
“…Scarcity of information on dolphin diet composition in the study area and more generally in the Mediterranean Sea called for assumptions that, albeit based on a comprehensive review of the available information, may affect the degree of overlap with some fishing gear. Conversely, figures of biomass removal by dolphins are probably robust, uncertainties about population size and energetic requirements being generally more important than uncertainty about diet composition when it comes to estimates of total food consumption (Pierce et al, 2007).…”
Section: Discussionmentioning
confidence: 99%
“…Another source of variation common to all methods is sampling error (Hammond and Rothery , Pierce et al . ). Uncertainty in estimates of diet resulting from sampling error can generally be reduced by increasing sample size, but the inability to obtain a representative sample of the population may not be possible, resulting in bias.…”
Section: Sources Of Variation and Potential Biases Common To All Methodsmentioning
confidence: 97%