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Potential for parasite-induced biases in aquatic invertebrate population studies

Hydrobiologia

By:
, , and
DOI: 10.1007/s10750-013-1700-9

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Abstract

Recent studies highlight the need to include estimates of detection/capture probability in population studies. This need is particularly important in studies where detection and/or capture probability is influenced by parasite-induced behavioral alterations. We assessed potential biases associated with sampling a population of the amphipod Gammarus lacustris in the presence of Polymorphus spp. acanthocephalan parasites shown to increase positive phototaxis in their amphipod hosts. We trapped G. lacustris at two water depths (benthic and surface) and compared number of captures and number of parasitized individuals at each depth. While we captured the greatest number of G. lacustris individuals in benthic traps, parasitized individuals were captured most often in surface traps. These results reflect the phototaxic movement of infected individuals from benthic locations to sunlit surface waters. We then explored the influence of varying infection rates on a simulated population held at a constant level of abundance. Simulations resulted in increasingly biased abundance estimates as infection rates increased. Our results highlight the need to consider parasite-induced biases when quantifying detection and/or capture probability in studies of aquatic invertebrate populations.

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Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Potential for parasite-induced biases in aquatic invertebrate population studies
Series title:
Hydrobiologia
DOI:
10.1007/s10750-013-1700-9
Volume
722
Issue:
1
Year Published:
2014
Language:
English
Publisher:
Springer
Contributing office(s):
Northern Prairie Wildlife Research Center
Description:
6 p.
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Hydrobiologia
First page:
199
Last page:
204
Country:
United States
State:
North Dakota
County:
Stutsman County
Other Geospatial:
Cottonwood Lakes Study Area