Habitat fingerprints for lake superior coastal wetlands derived from elemental analysis of yellow perch otoliths

John C. Brazner*, Steven E. Campana, Danny K. Tanner

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

69 Citations (Scopus)

Abstract

Assessing the ecological importance of coastal habitats to Great Lakes ecosystems requires an understanding of the ecological linkages between coastal and offshore waters. Elemental analysis of fish otoliths has emerged as a powerful technique that can provide a natural tag for determining nursery area affiliation, population structure, and movement of individual fish. Since the elemental composition of fish otoliths reflects some of the environmental conditions under which a fish was reared, otolith chemistry can record differences in ambient water conditions specific to habitats used during a fish's life history. Although few studies have been conducted in freshwaters, trace element analysis of marine fish otoliths has proven useful in identifying the chemical signatures unique to particular spawning and nursery habitats. To examine the utility of this method in freshwater, sagittae were removed from 275 young-of-the-year yellow perch Perca flavescens captured from eight wetlands in western Lake Superior during August 2001. They were analyzed for Ca and 13 minor and trace elements using inductively coupled plasma mass spectrometry (ICPMS) and inductively coupled atomic emission mass spectrometry (ICPAES). Otolith concentrations of Ba, K, Mg, Mn, Na, and Sr differed significantly among wetlands (ANOVA, P < 0.001). Interwetland differences were also pronounced when analyzed as a multivariate fingerprint (MANOVA, P < 0.001). Discriminant function analysis revealed relatively distinct chemical fingerprints associated with each wetland. Wetland classification accuracy based on a five-element model (Sr, Mn, K, Ba, and Mg) ranged from 62% to 100% and averaged 76%. Differences in fingerprints between wetland types (river-influenced versus lagoon) were also distinct (MANOVA, P < 0.001). Classification accuracy for wetland type was 81% based on a five-element model that included Ba, Mg, Mn, Na, and Sr. Our results suggest that otolith elemental fingerprints may be useful for quantifying the relative contributions of different wetland nursery areas to recruitment in adjacent lake populations.

Original languageEnglish
Pages (from-to)692-704
Number of pages13
JournalTransactions of the American Fisheries Society
Volume133
Issue number3
DOIs
Publication statusPublished - May 2004

Bibliographical note

Funding Information:
All elemental analyses were conducted by Ross Kean and Peter Crowhurst at the Royal Productivity Council Inorganic Analytical Services Laboratory in Fredericton, New Brunswick. Steve Schram, from the Wisconsin Department of Natural Resources, kindly provided fish samples and helpful technical information about yellow perch populations in Chequamegon Bay. We thank Linda Marks and Warren Joyce for their patient and helpful assistance in the laboratory, and Mike Sierszen, Bryan Taplin, and three anonymous reviewers for thoughtful comments on the manuscript. The information in this document has been funded in part by the U.S. Environmental Protection Agency (EPA). The manuscript has been subjected to review by the National Health and Environmental Effects Research Laboratory, EPA, and was approved for publication. Approval does not signify that the contents reflect the views of the Agency, nor does mention of trade names or commercial products constitute endorsement or recommendation for use.

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