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Dyer, Scott D.; White-Hull, Charlotte; Wang, X.; Johnson, Tony; Carr, Gregory J.

doi:10.1023/a:1009957614818

Cited by 22 publications

(6 citation statements)

References 7 publications

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“…the CC and UBWC were more strongly correlated with instream habitat than riparian habitat or water chemistry. These results are consistent with those observed by others in Ohio (D'Ambrosio et al, 2009;Dyer et al, 1998;Dyer et al, 2000;Miltner & Rankin, 1998), Ohio and Indiana (Caskey & Frey, 2009), and Wisconsin (Fitzpatrick et al, 2001;Wang et al, 2007). Fish communities within the Little Miami River in Ohio were more strongly influenced by watershed, geomorphology, or instream habitat than water chemistry (Dyer et al, 1998).…”

Section: Discussionsupporting

confidence: 91%

“…These results are consistent with those observed by others in Ohio (D'Ambrosio et al, 2009;Dyer et al, 1998;Dyer et al, 2000;Miltner & Rankin, 1998), Ohio and Indiana (Caskey & Frey, 2009), and Wisconsin (Fitzpatrick et al, 2001;Wang et al, 2007). Fish communities within the Little Miami River in Ohio were more strongly influenced by watershed, geomorphology, or instream habitat than water chemistry (Dyer et al, 1998). Fish communities in channelized and unchannelized headwater streams in central Ohio were more strongly correlated with watershed, riparian, geomorphology, or instream habitat characteristics than with water chemistry (D'Ambrosio et al, 2009).…”

Section: Discussionsupporting

confidence: 90%

“…Further complicating the issue is that many streams that exhibit poor water chemistry conditions also exhibit degraded physical habitat conditions (Miltner & Rankin, 1998). Previous results from streams in the midwestern United States suggest that water chemistry only has a weak influence on fish community structure (Caskey & Frey, 2009;D'Ambrosio, Williams, Witter, & Ward, 2009;Dyer, White-Hull, Wang, Johnson, & Carr, 1998;Dyer, White-Hull, & Shephard, 2000;Fitzpatrick, Scudder, Lenz, & Sullivan, 2001;Miltner & Rankin, 1998;Smiley & Gillespie, 2010;Smiley, Gillespie, King, & Huang, 2008;Smiley et al, 2009;Wang, Robertson, & Garrison, 2007).…”

Section: Introductionmentioning

confidence: 99%

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Conservation implications of fish–habitat relationships in channelized agricultural headwater streams

Sanders

Smiley²,

Gillespie

et al. 2020

J of Env Quality

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Channelized agricultural headwater streams are common throughout agricultural watersheds in the midwestern United States. Understanding fish-habitat relationships within these streams will provide information that can assist with developing conservation and restoration strategies for these degraded streams. From spring 2006 to fall 2010, we collected fishes and measured riparian habitat, instream habitat, and water chemistry variables from seven sites in Cedar Creek, Indiana, and 14 sites in Upper Big Walnut Creek, Ohio. We found that fish community structure was more strongly correlated with instream habitat than riparian habitat or water chemistry in both watersheds. We also observed interrelationships among instream habitat, watershed size, and fish communities within both watersheds that suggest that the hydrological changes that occur with increasing watershed size are the underlying factor for fish community changes that occur with increasing watershed size. Our results suggest that conservation and restoration efforts within channelized agricultural headwater streams in the midwestern United States, where nutrients and herbicide concentrations are low, need to address physical habitat degradation to positively influence fish community structure.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Conservation implications of fish–habitat relationships in channelized agricultural headwater streams

Sanders

Smiley²,

Gillespie

et al. 2020

J of Env Quality

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“…The problem is exacerbated as the numbers of chemicals added together increase (e.g., metals TUs with organics, increased number of organic analytes, lower detection limits for existing analytes). Realistic risk assessments will require an integration of habitat factors into the risk characterization ( , ). Second, in situations where low concentrations of organic tissue contaminants are present, addition of molar units appears to be a reasonable approach for organic mixture risk assessments, even for chemicals with diverse modes of action.…”

Section: Resultsmentioning

confidence: 99%

“…Fish community, tissue residue, and habitat monitoring sites often did not occur at the exact same site (latitude and longitude). To bring these data into appropriate geographical proximity for direct comparison, several geographical information system (GIS) (ARC/INFO v 7.0.4, Environmental Systems Research Institute, Redlands, CA) and data management (MS-ACCESS v.7.0, Microsoft Corp, Redmond, WA) functions were used ( , ). Of the >2400 samples from 1010 sites with residue data, 1262 metal samples and 1316 organic samples corresponding to 591 and 649 locations, respectively, were collected within 2 years of a comprehensive fish community analysis (IBI).…”

Section: Methodsmentioning

confidence: 99%

Assessments of Chemical Mixtures via Toxicity Reference Values Overpredict Hazard to Ohio Fish Communities

Dyer

White-Hull

Shephard

2000

Environ. Sci. Technol.

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A diverse array of environmental data from Ohio were placed into a geographical information system (GIS). This GIS allowed for the investigation of approaches and paradigms currently advocated for ecological risk assessment. The paradigm of chemical mixture additivity was investigated in this project. Toxic units (toxic unit ) concentration of a chemical in an organism/chemical concentration causing a specified effect) for 12 organic and 11 metal contaminants were calculated from 2878 fish samples collected at 1010 sites throughout the state of Ohio. Additive analysis of TUs for organic chemicals based on regulatory-based protective limits (toxicity reference value ) USEPA water quality criterion*bioconcentration factor) overpredicted adverse effects to individual fish and fish communities. However, addition of organic chemical molar units did not overpredict adverse effects, thus, supporting the concept of baseline toxicity. Molar units of organic chemicals with diverse modes of action may be added together, so long as they are at concentrations below levels deemed protective of most species (e.g., 95%, water quality criterion). Analysis of metal TUs benchmarked against regulatorybased limits overpredicted adverse effects, whereas benchmark concentrations from population response (survival, growth, reproduction) data from the literature and Ohio reference site fish community responses corresponded better to field observations. Of the factors analyzed, habitat quality is the best single predictor of fish community integrity in Ohio, not body burdens of metals or organic chemicals.

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Developing a foundation for eco‐epidemiological assessment of aquatic ecological status over large geographic regions utilizing existing data resources and models

Kapo

Holmes

Dyer

et al. 2014

Enviro Toxic and Chemistry

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Eco-epidemiological studies utilizing existing monitoring program data provide a cost-effective means to bridge the gap between the ecological status and chemical status of watersheds and to develop hypotheses of stressor attribution that can influence the design of higher-tier assessments and subsequent management. The present study describes the process of combining existing data and models to develop a robust starting point for eco-epidemiological analyses of watersheds over large geographic scales. Data resources from multiple federal and local agencies representing a range of biological, chemical, physical, toxicological, and other landscape factors across the state of Ohio, USA (2000-2007), were integrated with the National Hydrography Dataset Plus hydrologic model (US Environmental Protection Agency and US Geological Survey). A variety of variable reduction, selection, and optimization strategies were applied to develop eco-epidemiological data sets for fish and macroinvertebrate communities. The relative importance of landscape variables was compared across spatial scales (local catchment, watershed, near-stream) using conditional inference forests to determine the scales most relevant to variation in biological community condition. Conditional inference forest analysis applied to a holistic set of environmental variables yielded stressor-response hypotheses at the statewide and eco-regional levels. The analysis confirmed the dominant influence of state-level stressors such as physical habitat condition, while highlighting differences in predictive strength of other stressors based on ecoregional and land-use characteristics. This exercise lays the groundwork for subsequent work designed to move closer to causal inference.

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Untitled

Cited by 22 publications

References 7 publications

Conservation implications of fish–habitat relationships in channelized agricultural headwater streams

Conservation implications of fish–habitat relationships in channelized agricultural headwater streams

Assessments of Chemical Mixtures via Toxicity Reference Values Overpredict Hazard to Ohio Fish Communities

Developing a foundation for eco‐epidemiological assessment of aquatic ecological status over large geographic regions utilizing existing data resources and models

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