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Evaluating sampling sufficiency in fish assemblage surveys: a similarity-based approach
Cao, Y.; Larsen, D.P.; Hughes, R.M. (2001). Evaluating sampling sufficiency in fish assemblage surveys: a similarity-based approach. Can. J. Fish. Aquat. Sci. 58(9): 1782-1793
In: Canadian Journal of Fisheries and Aquatic Sciences = Journal canadien des sciences halieutiques et aquatiques. National Research Council Canada: Ottawa. ISSN 0706-652X; e-ISSN 1205-7533, more
Peer reviewed article  

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Keywords
    Accuracy
    Biodiversity
    Characteristics > Diversity
    Conservation
    Extrapolation
    Extrapolation
    Integrity
    Species richness
    Water bodies > Inland waters > Lakes
    Water bodies > Inland waters > Rivers

Authors  Top 
  • Cao, Y.
  • Larsen, D.P.
  • Hughes, R.M.

Abstract
    The number and identity of fish species occurring at a site at a particular time provide basic information for assessing biological integrity, inferring fish assemblage - environment relationships, and determining biodiversity patterns. Conclusions are often dependent on how sufficiently species richness and composition of fish assemblages are characterized by sampling. The proportion of total species richness obtained in a sample is an explicit measure of sampling sufficiency. However, because total species richness (TSRtru) at a site is often unknown, sampling sufficiency cannot be determined directly. To overcome this difficulty, we developed a new approach, which is based on a relationship between the proportion of TSRtru or %TSRtru and the similarity among replicate samples (autosimilarity). With autosimilarity measured with the Jaccard coefficient (JC), a simple relationship was established: %TSRtru = 100JC. Fourteen sites where TSRtru was reached or approached during sampling were selected from four surveys to validate this relationship. We used the approach to estimate the sample sizes required for 90, 95, and 100% TSRtru, indicating that widely differing sampling efforts among sites are needed to obtain the same proportion of the local species pool. The results strongly support the use of the new approach in evaluating sampling sufficiency in stream and river fish surveys.

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