56
Views
1
CrossRef citations to date
0
Altmetric
Article

Flow Preferences for Juvenile Robust Redhorses in an Experimental Mesocosm: Implications for Developing Sampling Protocols

&
Pages 1383-1392 | Received 18 Sep 2006, Accepted 21 May 2007, Published online: 08 Jan 2011
 

Abstract

The robust redhorse Moxostoma robustum, originally described by Edward Cope in 1870 from specimens collected from the Yadkin River, North Carolina, apparently went unnoticed until 1991 when it was rediscovered in the lower Oconee River, Georgia. Despite extensive surveys and an ongoing, decade-long restoration program, wild-spawned juveniles 30–410 mm in total length have not been collected. This project experimentally evaluated one hypothesis (flow class use) that seeks to explain the absence of juvenile robust redhorses from the catch. Two experimental mesocosms were used to determine whether juvenile robust redhorses use flow classes in proportion to their availability. Pond-reared juveniles were exposed to four flow-based habitat types (eddies = −0.12 to −0.01 m/s, slow flow = 0.00–0.15 m/s, moderate flow = 0.16–0.32 m/s, and backwaters) in four 10-d trials, in which 16 pond-reared test fish were used per trial, with replacement. Location data were recorded hourly during daytime hours for each fish in all trials and evaluated with a log-linear, chi-square model. In winter, test fish showed a preference for eddies and backwaters and avoided slow to moderate flows. In early spring, test fish showed a preference for eddies and avoided the moderate flows. Current field sampling for juvenile robust redhorses has not targeted the flow classes used by fish in this experiment; however, collection of wild-caught juveniles may be improved by sampling in eddies and their associated transitional areas.

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.