Fish Passage in a Western Iowa Stream Modified by Grade Control Structures

Litvan, Mary E.; Pierce, Clay L.; Stewart, Timothy W.; Larson, Christopher J.

doi:10.1577/m07-097.1

Cited by 10 publications

(10 citation statements)

References 30 publications

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“…As a result of agricultural practices (e.g., drainage tiling and channelization) in Iowa, the hydrologic regimes of stream systems are highly altered, and the intensity, timing, and frequency of flood events are likely to influence aquatic communities (Meyers et al 2010). Similarly, the location and magnitude of fish barriers (e.g., dams, culverts, and grade-control structures) can fragment populations and prevent source populations from re-colonizing suitable habitats (Compton et al 2008;Litvan et al 2008). Variables that characterize water quality and biotic interactions may also explain further variation in species occurrences.…”

Section: Discussionmentioning

confidence: 99%

Habitat Associations of Fish Species of Greatest Conservation Need at Multiple Spatial Scales in Wadeable Iowa Streams

Sindt

Quist

Pierce

2012

N American J Fish Manag

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Fish and habitat data were collected from 84 wadeable stream reaches in the Mississippi River drainage of Iowa to predict the occurrences of seven fish species of greatest conservation need and to identify the relative importance of habitat variables measured at small (e.g., depth, velocity, and substrate) and large (e.g., stream order, elevation, and gradient) scales in terms of their influence on species occurrences. Multiple logistic regression analysis was used to predict fish species occurrences, starting with all possible combinations of variables (5 large-scale variables, 13 small-scale variables, and all 18 variables) but limiting the final models to a maximum of five variables. Akaike's information criterion was used to rank candidate models, weight model parameters, and calculate model-averaged predictions. On average, the correct classification rate (CCR = 80%) and Cohen's kappa (κ = 0.59) were greatest for multiple-scale models (i.e., those including both largescale and small-scale variables), intermediate for small-scale models (CCR = 75%; κ = 0.49), and lowest for large-scale models (CCR = 73%; κ = 0.44). The occurrence of each species was associated with a unique combination of large-scale and small-scale variables. Our results support the necessity of understanding factors that constrain the distribution of fishes across spatial scales to ensure that management decisions and actions occur at the appropriate scale. RightsWorks produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted. AbstractFish and habitat data were collected from 84 wadeable stream reaches in the Mississippi River drainage of Iowa to predict the occurrences of seven fish species of greatest conservation need and to identify the relative importance of habitat variables measured at small (e.g., depth, velocity, and substrate) and large (e.g., stream order, elevation, and gradient) scales in terms of their influence on species occurrences. Multiple logistic regression analysis was used to predict fish species occurrences, starting with all possible combinations of variables (5 large-scale variables, 13 small-scale variables, and all 18 variables) but limiting the final models to a maximum of five variables. Akaike's information criterion was used to rank candidate models, weight model parameters, and calculate model-averaged predictions. On average, the correct classification rate (CCR = 80%) and Cohen's kappa (κ = 0.59) were greatest for multiple-scale models (i.e., those including both large-scale and small-scale variables), intermediate for small-scale models (CCR = 75%; κ = 0.49), and lowest for large-scale models (CCR = 73%; κ = 0.44). The occurrence of each species was associated with a unique combination of large-scale and small-scale variables. Our results support the necessity of understanding factors that constrain the distribution of fishes across spatial scales to ensure that management decisions and actio...

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Section: Discussionmentioning

confidence: 99%

Habitat Associations of Fish Species of Greatest Conservation Need at Multiple Spatial Scales in Wadeable Iowa Streams

Sindt

Quist

Pierce

2012

N American J Fish Manag

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“…Several of the cross‐vanes presented a substantial barrier to fish passage. This was especially true at cross‐vanes 5 and 31, where the hydraulic drop approached 1 m. While not necessarily a direct measure of habitat integrity, such barriers can represent a limiting factor for fish populations and other aquatic organisms (WDFW, 2003; Wofford et al ., 2005; Litvan et al ., 2008).…”

Section: Discussionmentioning

confidence: 99%

Monitoring and assessment of a river restoration project in central New York

Buchanan

Walter

Nagle

et al. 2010

River Research & Apps

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A widespread lack of post‐project appraisals (PPAs) not only hinders progress in the field of river restoration but also limits the application of adaptive management – a powerful heuristic tool particularly well suited to dynamic fluvial environments. In an effort to contribute to the limited body of scientific literature pertaining to PPAs, we evaluated a stream restoration project completed in the fall of 2005 in central New York. Using a variety of evaluation approaches, we documented both successes (e.g. enhanced in‐stream habitat) and short‐comings (e.g. channel avulsions). Overall, we concluded that the project was marginally successful in achieving its stated goals and that future prospects remain uncertain based on current trajectory. Lessons learned from this monitoring study include: (i) protect vulnerable banks and floodplains until vegetation is established, e.g. via integrated bio‐ and geo‐technical methods, (ii) perform scour depth analyses and excavate scour pools associated with hydraulic structures to design depth to prevent clogging of the channel during post‐construction floods, (iii) orient bank vanes such that cross‐stream flows are not deflected towards the bank, (iv) cross‐validate restoration designs via multiple methods, including process‐based sediment transport relations, especially in unstable gravel‐bed rivers, (v) anticipate and fund for fixing natural channel design (NCD) projects for 3–5 years after completion to account for uncertainties and (vi) identify measurable, goal‐specific success criteria that account for watershed scale stressors and site constraints prior to construction to facilitate successful project design and ensure effective outcomes appraisal. Copyright © 2010 John Wiley & Sons, Ltd.

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“…Many historic techniques for enhancing fish passage rates have been proposed on the basis of professional judgment or trial-and-error (Pratt et al, 2009;Rice et al, 2010). Design in this manner, without biologically-based criteria or a comprehensive understanding of the primary factors influencing fish passage has had negative consequences (Towler et al, 2012), including increased project expenses and limited fish passage success (Litvan et al, 2008;Castro-Santos et al, 2009;Price et al, 2010). Consequently, research into basic relationships between fish and their environment is needed to advance the understanding of factors that produce successful fish-based hydraulic designs.…”

Section: Introductionmentioning

confidence: 99%