scholarly journals Status of the Topeka Shiner in Iowa

2019 ◽  
Vol 182 (1) ◽  
pp. 109 ◽  
Author(s):  
Clay L. Pierce ◽  
Nicholas T. Simpson ◽  
Alexander P. Bybel ◽  
Courtney L. Zambory ◽  
Michael J. Weber ◽  
...  
Keyword(s):  

<em>Abstract.</em>—The Topeka shiner <em>Notropis topeka </em>is a small cyprinid listed as endangered in 1999 due to an 80% reduction in its former range across six Great Plains states. Conservation and recovery plans require information on structural indices of existing populations, distribution, and habitat relations at several spatial scales. We examined physical habitat associations of Topeka shiners at the valley segment and reach scales, and associations with fish species using stepwise logistic regression. Fish and habitat data were collected at 52 sites. Habitat features at the valley segment scale were acquired using data from a geographic information system. At the valley segment scale, Topeka shiners were associated with stream condition variables (stream size, groundwater potential, channel slope, streamflow, network position) and land-cover variables (% pasture, % trees). At the reach scale, Topeka shiners were associated with low grazing and small trees in riparian zones, low bank height, less submerged vegetation, and coarse substrates. Topeka shiners were associated with five fishes that inhabit small, intermittent, warmwater streams. Evidence of greater abundance of Topeka shiner populations in our region compared to other regions may be a result of the natural character of the streams and associated wetlands, which can influence the habitat variables associated with Topeka shiners at both scales. We identified management strategies that would be effective at conserving habitat of Topeka shiners at large and local scales.


2016 ◽  
Vol 119 (1) ◽  
pp. 83-92 ◽  
Author(s):  
Scott W. Campbell ◽  
Cody S. Szuwalski ◽  
Vernon M. Tabor ◽  
Frank deNoyelles

2004 ◽  
Vol 61 (6) ◽  
pp. 954-973 ◽  
Author(s):  
Steven S Wall ◽  
Charles R Berry, Jr. ◽  
Carmen M Blausey ◽  
Jonathan A Jenks ◽  
Chad J Kopplin

Decision support tools that predict fish distribution over broad spatial scales are needed to assist in planning watershed management and endangered species recovery. We developed a geographical information system model with multivariate logistic regression to rank valley segments for probable occurrence of the endangered Topeka shiner (Notropis topeka) using stream condition variables (stream size, groundwater potential, channel slope, streamflow, network position) and land-cover variables (percent pasture, percent trees) in streams characteristic of the North American Great Plains. The stream condition and land-cover models correctly classified 89% and 68% of outcomes (i.e., presence or absence), respectively. Field tests of maps of predicted species distribution resulted in more species occurrences than expected in valley segments classified as high potential for presence and less than expected in low-potential valley segments. Gaps between high-priority segments and protected land parcels were found in all basins. In 37 basins with Topeka shiners, protected land coverage was <1% in 17 basins, 1–5% in 10 basins, and 5–21.8% in 10 basins. Conservation activities in gaps are long-term conservation measures, but maps of predicted species distribution have many immediate applications.


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