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Last modified
7/14/2009 5:01:47 PM
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5/20/2009 11:06:44 AM
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UCREFRP
UCREFRP Catalog Number
9334
Author
Stickney, R. R.
Title
Editor
USFW Year
Series
USFW - Doc Type
1993
Copyright Material
YES
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Volume 1 (Issue #3), 1993 <br />STOCK DENSITY INDICES <br />ig diaries had a size structure similar to electrofishing samples. Anderson <br />listed objective ranges for PSD of largemouth bass and bluegill caught by <br />g for various pond management strategies that could be used by Missouri <br />owners. <br />SELECTION OF SAMPLING SITES <br />Biologists often choose subjective sampling sites based on the likelihood of captur- <br />ing target species. One justification for such a technique is that greater sample size <br />generally can be obtained with less effort. However, Hubbard and Miranda (1986) <br />found that PSD and RSD of largemouth bass samples were overestimated when <br />electrofishing took place in subjectively selected sites compared to randomly <br />selected sites. Therefore, biologists should balance the need for sufficient sample <br />site at lowest necessary effort with the potential for resulting size structure bias. <br />The biases we have discussed do not preclude the proper use of stock density <br />indices. Many other assessment tools used by fisheries biologists also can be affected <br />b~ biased samples. A good example would be mortality rates. Length-related biases <br />due to sampling gear or seasonal influences would result in overestimation or <br />urhderestimation of mortality rates. Biologists should be aware of these biases, deal <br />w}th as many as possible by selection of appropriate sampling gear and date, and <br />carefully interpret their data with consideration of the biases. Similarly, biased <br />length-frequency data can be useful as trend data over time, as long as a biologist <br />properly interprets these data. <br />D~ SAMPLE SIZE <br />I <br />Sa;tnple size is an important consideration when using stock density indices to <br />quantify length-frequency data and assess fish populations. In our opinion, people <br />often calculate stock density indices from insufficient sample sizes. For example, few <br />biologists would think of showing alength-frequency histogram from a sample of <br />13 fish -especially in a refereed publication. However, biologists are often willing <br />to calculate, report, and use a PSD from that sample of 13 fish. Two methods are <br />available to easily determine whether sufficient sample size has been obtained to <br />reliably calculate stock density indices. Weithman et al. (1979) reported a method <br />by which sequential samples of a fish population could be assessed for reliability <br />using confidence intervals. Once the sample was deemed reliable, sampling could <br />stop. Management biologists may not have the time available to sequentially assess <br />their samples and determine whether more effort is needed. Often, a certain effort <br />is allotted to a body of water, and the resulting data must be assessed. Thus, we <br />suggest that biologists under such constraints use the tables provided by Gustafson <br />(1988) to obtain confidence intervals for stock density indices. Weithman et al. <br />(1979) described the calculation of confidence intervals, and Gustafson (1988) <br />provided tables for simple estimation of 80 or 95% confidence intervals that can be <br />used for PSD or any other RSD. Biologists using these confidence intervals would <br />at 'least know how much confidence to place in their data and what type of change <br />would have to occur to statistically indicate a change in the population size structure. <br />r 211 <br />
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