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RESEARCH ARTICLE
Contents Vol 57(6)

Estimating local stream fish assemblage attributes: sampling effort and efficiency at two spatial scales

Mark J. Kennard A C , Bradley J. Pusey A , Bronwyn D. Harch B , Elli Dore A and Angela H. Arthington A
+ Author Affiliations
- Author Affiliations

A Cooperative Research Centres for Freshwater Ecology and Tropical Rainforest Ecology and Management, Centre for Riverine Landscapes, Faculty of Environmental Sciences, Griffith University, 170 Kessels Road, Nathan, Qld 4111, Australia.

B Commonwealth Scientific and Industrial Research Organisation, Mathematical & Information Sciences, Queensland Bioscience Precinct, 306 Carmody Road, St Lucia, Qld 4067, Australia.

C Corresponding author. Email: m.kennard@griffith.edu.au

Marine and Freshwater Research 57(6) 635-653 https://doi.org/10.1071/MF06062
Submitted: 18 April 2006  Accepted: 17 July 2006   Published: 31 August 2006

Abstract

As part of a wider study to develop an ecosystem-health monitoring program for wadeable streams of south-eastern Queensland, Australia, comparisons were made regarding the accuracy, precision and relative efficiency of single-pass backpack electrofishing and multiple-pass electrofishing plus supplementary seine netting to quantify fish assemblage attributes at two spatial scales (within discrete mesohabitat units and within stream reaches consisting of multiple mesohabitat units). The results demonstrate that multiple-pass electrofishing plus seine netting provide more accurate and precise estimates of fish species richness, assemblage composition and species relative abundances in comparison to single-pass electrofishing alone, and that intensive sampling of three mesohabitat units (equivalent to a riffle–run–pool sequence) is a more efficient sampling strategy to estimate reach-scale assemblage attributes than less intensive sampling over larger spatial scales. This intensive sampling protocol was sufficiently sensitive that relatively small differences in assemblage attributes (<20%) could be detected with a high statistical power (1-β > 0.95) and that relatively few stream reaches (<4) need be sampled to accurately estimate assemblage attributes close to the true population means. The merits and potential drawbacks of the intensive sampling strategy are discussed, and it is deemed to be suitable for a range of monitoring and bioassessment objectives.

Extra keywords: biodiversity, bootstrapping, fish behaviour, habitat use, physico-chemical conditions, power analysis, sample size.


Acknowledgments

This project was funded by the Cooperative Research Centres for Freshwater Ecology and Tropical Rainforest Ecology and Management and Land and Water Australia (formerly Land and Water Research and Development Corporation). In-kind contributions were also provided by the Queensland Department of Natural Resources and Mines, and the Department of Primary Industries (Fisheries). We thank Rick Cunjak, Kurt Fausch and Tarmo Raadik for their insights on the theory and practice of electrofishing and survey design. We thank Steve Mackay, Darren Renouf, Nick Marsh, Wendy Neilan, Peter Benson and Michelle Wood for assistance with field sampling. We appreciate the detailed comments by several anonymous reviewers, which substantially improved the present paper. This research project was approved by the Griffith University Ethics Committee for Experimentation on Animals and the applied research protocols used were conducted in accordance with the requirements of this Committee.


References

Andrew, N. L. , and Mapstone, B. D. (1987). Sampling and the description of spatial pattern in marine ecology. Oceanography and Marine Biology: An Annual Review 25, 39–90.
Barker D., Allan G. L., Rowland S. J., and Pickles J. M. (2002). ‘A Guide to Acceptable Procedures and Practices for Aquaculture and Fisheries Research.’ (NSW Fisheries Animal Care and Ethics Committee, NSW Fisheries: Sydney.)

Bohlin, T. , Hamrin, S. , Heggberget, T. G. , Rasmussen, G. , and Salveit, S. J. (1989). Electrofishing – theory and practice with special emphasis on salmonids. Hydrobiologia 173, 9–43.
| Crossref | GoogleScholarGoogle Scholar | Harris J. H., and Gehrke P. C. (Eds) (1997). ‘Fish and Rivers in Stress: The NSW Rivers Survey.’ (NSW Fisheries Office of Conservation and the Cooperative Research Centre for Freshwater Ecology: Sydney.)

Harris, J. H. , and Silveira, R. (1999). Large-scale assessments of river health using an Index of Biotic Integrity with low-diversity fish communities. Freshwater Biology 41, 235–252.
| Crossref | GoogleScholarGoogle Scholar | Hughes R. M. (1995). Defining acceptable biological status by comparing with reference conditions. In ‘Biological Assessment and Criteria: Tools for Water Resource Planning and Decision Making’. (Eds W. S. Davis and T. P. Simon.) pp. 31–48. (Lewis: Boca Raton, FL.)

Jowett, I. G. (1993). A method for objectively identifying pool, run, and riffle habitats from physical measurements. New Zealand Journal of Marine and Freshwater Research 27, 241–248.
Kennard M. J. (2005). A quantitative basis for the use of fish as indicators of river health in eastern Australia. Ph.D. Thesis, Griffith University.

Kennard, M. J. , Arthington, A. H. , Pusey, B. J. , and Harch, B. D. (2005). Are alien fish a reliable indicator of river health? Freshwater Biology 50, 174–193.
| Crossref | GoogleScholarGoogle Scholar | Kolz A. L., Reynolds J. B., Boardman J., Temple A., and Lam D. (Eds) (1998). ‘Principles and Techniques of Electrofishing.’ (U.S. Fish and Wildlife Service National Conservation Training Center: Shepherdstown, WV.)

Kritzer, J. P. , Davies, C. R. , and Mapstone, B. D. (2001). Characterizing fish populations: effects of sample size and population structure on the precision of demographic parameter estimates. Canadian Journal of Fisheries and Aquatic Sciences 58, 1557–1568.
| Crossref | GoogleScholarGoogle Scholar | Legendre P., and Legendre L. (1998). ‘Numerical Ecology.’ (Elsevier Scientific: Amsterdam.)

Lyons, J. (1992). The length of stream to sample with a towed electrofishing unit when fish species richness is estimated. North American Journal of Fisheries Management 12, 198–203.
| Crossref | GoogleScholarGoogle Scholar | Matthews W. J. (1998). ‘Patterns in Freshwater Ecology.’ (Chapman & Hall: New York.)

Meador, M. R. , and McIntyre, J. P. (2003). Effects of electrofishing gear type on spatial and temporal variability in fish community sampling. Transactions of the American Fisheries Society 132, 709–716.
| Crossref | GoogleScholarGoogle Scholar | Moreton Bay Waterways and Catchment Partnership (2002). South East Queensland’s Health Waterways. Available online at: www.healthywaterways.org/ [verified August 2006].

Murray–Darling Basin Commission (2004). Fish theme pilot audit technical report – sustainable rivers audit. MDBC Publication 06/04. Canberra.

Nielsen, J. L. (1998). Scientific sampling effects: electrofishing California’s endangered fish populations. Fisheries 23, 6–12.
| Crossref | GoogleScholarGoogle Scholar | Norris R. H., McElravy E. P., and Resh V. H. (1992). The sampling problem. In ‘The Rivers Handbook: Hydrological and Ecological Principles’. (Eds P. Callow and G. E. Petts.) Vol. 1, pp. 282–306. (Blackwell Scientific Publications: Oxford, UK.)

Otis, D. L. , Burnham, K. P. , Anderson, D. R. , and White, G. C. (1978). Statistical inference from capture data on closed populations. Wildlife Monographs 62, 1–135.
Pusey B. J., Kennard M. J., and Arthington A. H. (2004). ‘Freshwater Fishes of North-Eastern Australia.’ (CSIRO Publishing: Melbourne.)

Quinn G. P., and Keough M. J. (2002). ‘Experimental Design and Data Analysis for Biologists.’ (Cambridge University Press: Cambridge.)

Rapport, D. J. , Costanza, R. , and McMichael, A. J. (1998). Assessing ecosystem health. Trends in Ecology & Evolution 13, 397–402.
| Crossref | GoogleScholarGoogle Scholar | SPSS (1999). ‘SPSS Base 11.5 for Windows User’s Guide.’ (SPSS Inc.: Chicago, IL.)

Statistical Sciences (1999). ‘S-PLUS, version 2000 for Windows.’ (Mathsoft Inc.: Seattle, WA.)

Zalewski M., and Cowx I. G. (1989). Factors affecting the efficiency of electrofishing. In ‘Fishing with Electricity – Application in Freshwater Fisheries Management’. (Eds I. G. Cowx and P. Lamarque.) pp. 89–110. (Fishing New Books: Oxford.)

Zar J. H. (1996). ‘Biostatistical Analysis.’ (Prentice-Hall: Englewood Cliffs, NJ.)

Zippin, C. (1956). An evaluation of the removal method of estimating animal populations. Biometrics 12, 163–169.
| Crossref | GoogleScholarGoogle Scholar |