Hostname: page-component-76fb5796d-5g6vh Total loading time: 0 Render date: 2024-04-27T19:29:19.372Z Has data issue: false hasContentIssue false
  • English
  • Français

Local variability in metazoan parasites of the pelagic fish species, Engraulis ringens: implications for fish stock assessment using parasites as biological tags

Published online by Cambridge University Press:  01 June 2007

Rosa A. Chavez ,
Isabel M. Valdivia  and
Marcelo E. Oliva
Rosa A. Chavez
Affiliation:
Instituto de Investigaciones Oceanológicas, Facultad de Recursos del Mar, Universidad de Antofagasta, PO Box 170, Antofagasta, Chile
Isabel M. Valdivia
Affiliation:
Instituto de Investigaciones Oceanológicas, Facultad de Recursos del Mar, Universidad de Antofagasta, PO Box 170, Antofagasta, Chile
Marcelo E. Oliva*
Affiliation:
Instituto de Investigaciones Oceanológicas, Facultad de Recursos del Mar, Universidad de Antofagasta, PO Box 170, Antofagasta, Chile
*
*Fax: +56 55 637804 E-mail: meoliva@uantof.cl
Get access Rights & Permissions [Opens in a new window]

Abstract

Parasites have been used successfully as biological tags in population studies, mainly in marine fishes, but also in marine mammals, crustaceans and molluscs. Almost all published information dealing with parasites as biological tags evaluates differences between localities. However, local variability in the component community has not been assessed. In this work, we examined whether local variation of the metazoan parasite fauna of Engraulis ringens, extracted from five independent samples from two nearby localities in northern Chile, can be a factor causing bias in stock identification. Our results show that local variability, as estimated by a single sample, may suffice to represent component community variability with no need for replicated data.

Type
ICOPAXI Papers
Information
Journal of Helminthology , Volume 81 , Issue 2: Special Issue , June 2007 , pp. 113 - 116
Copyright
Copyright © Cambridge University Press 2007

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bush, A.O., Lafferty, K.D., Lotz, J.M. & Shostak, A.W. (1997) Parasitology meets ecology on its own terms: Margolis et al. revisited. Journal of Parasitology 83, 575–583.CrossRefGoogle Scholar
Bush, A.O.Fernandez, J.C.Esch, G.W. & Seed, J.R. (2001) Parasitism. The diversity and ecology of animal parasites. 566 pp. Cambridge, Cambridge University Press.Google Scholar
George-Nascimento, M. (2000) Geographical variations in the jack mackerel Trachurus symmetricus murphyi populations in the Southeastern Pacific ocean as evidenced from the associated parasite communities. Journal of Parasitology 86, 929–932.CrossRefGoogle ScholarPubMed
MacKenzie, K. (2002) Parasites as biological tags in population studies of marine organisms: an update. Parasitology 124 S153–S163.CrossRefGoogle ScholarPubMed
MacKenzie, K. & Abaúnza, P. (1998) Parasites as biological tags for stock discrimination of marine fish: a guide to procedures and methods. Fisheries Research 38 45–56.CrossRefGoogle Scholar
Moore, A.B.M. (2001) Metazoan parasites of the lesser-spotted dogfish Scyliorhinus canicula and their potential as stock discrimination tools. Journal of the Marine Biological Association of the United Kingdom 81 1009–1013.CrossRefGoogle Scholar
Oliva, M.E. & Ballón, I. (2002) Metazoan parasites of the Chilean hake Merluccius gayi gayi as a tool for stock discrimination. Fisheries Research 56 313–320.CrossRefGoogle Scholar
Oliva, M.E. & Sanchez, M. (2005) Metazoan parasites and commensals of the northern Chilean scallop Argopecten purpuratus (Lamarck, 1819) as tools for stock identification. Fisheries Research 71 71–77.CrossRefGoogle Scholar
Wilkinson, L. (1990) SYSTAT: The system for statistics. 468 pp. Evanston, IllinoisSYSTAT Inc.Google Scholar
Willig, M.R.Kaufman, D.M. & Stevens, R.D. (2003) Latitudinal gradients of biodiversity: pattern, process, scale, and synthesis. Annual Review of Ecology, Evolution and Systematics 34 273–309.CrossRefGoogle Scholar
Zar, J.H. (1996) Biostatistical analysis. 3rd edn. 662 pp. New JerseyPrentice Hall.Google Scholar