se2.gif (1021 bytes)

Southern Division
of the
American Fisheries Society

Alabama - Arkansas - Florida - Georgia - Kentucky - Louisiana - Maryland - Mississippi - North Carolina - Oklahoma - South Carolina - Tennessee - Texas - Virginia - Washington, D.C. - West Indian Islands - West Virginia

Quick Links:

 

 
Home

Bylaws

Committees

Events

History

Jobs

Links

Meeting
Abstracts

Meeting
Minutes

Newsletters

Resolutions

Scholarships

SEAFWA

Software

Spring
Meeting

Students

Work
Plan

AFS List
Server

 

From the 1999 Southern Division of the American Fisheries Society Midyear Meeting held in Chattanooga, Tennessee.

Movement Rate and Barrier Properties of Riffles: Predicting Movement of Two Cyprinids with an Individual-Based Model

Jacob F. Schaefer, University of Oklahoma, Department of Zoology, Norman, Oklahoma 73019; E-Mail jschaefer@ou.edu

Keywords: fish, Streams, movement, barriers, model


Movement and dispersal of two Cyprinids (Notropis boops and Campostoma anomalum) was observed in Brier Creek (Oklahoma) and compared to predicted patterns from an individual-based random walk model. The model was based on data from previous experiments in artificial streams that quantified movement rate across riffles at various levels of current velocity, thalweg depth, riffle length, and levels of predation in pools. One hundred N. boops and C. anomalum then were marked by subcutaneous injection of acrylic paint, and released in Brier Creek at the point of capture. Over the next 30 days, 17 snorkeling samples were conducted over a 1 km of stream consisting of 10 pools and 9 riffles. During each survey, visual counts were made of all species in each pool, including numbers of marked N. boops and C. anomalum. The data from the snorkeling surveys were then compared to predicted distributions from the model. Two sets of simulations were run to generate predicted distributions from the model, a null model and a predictive model. The null model assumed all riffles were not effective barriers and had no effect on dispersal. The predictive model accounted for differences in riffle properties (thalweg depth, current velocity, and length) that would make them less permeable. The predictive model was more accurate in predicting marked fish distributions. The majority of marked fish remained in the same pool as they were released, with only a few individuals moving upstream or downstream.


Back to Abstract
Index
Back to Poster
Session Index
 

Copyright © 2004 Southern Division of the American Fisheries Society
For problems or questions regarding this web contact fred.janssen@tpwd.state.tx.us
Last updated: November 22, 2004