2004
DOI: 10.1674/0003-0031(2004)152[0369:iegasp]2.0.co;2
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Influential Environmental Gradients and Spatiotemporal Patterns of Fish Assemblages in the Unimpounded Upper Mississippi River

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Cited by 26 publications
(26 citation statements)
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“…Third, it is clear that other factors we did not monitor effect Macrhybopsis chub species composition and abundance relative to CMS in lower Missouri River. The explainable variation in species-environment relationships we report is within a range typically reported in other ecological studies (20-50%; Borcard et al, 1992;Rodríguez and Magnan, 1995;Marchetti and Moyle, 2001;Økland, 2003;Barko et al, 2004b). However, it leads us to re-examine our approach to identify other factors that may be important to chub conservation given we cannot test the influence of long-term factors with our single-year dataset.…”
Section: Implications Of Macrhybopsis Chub Habitat Use For River Manasupporting
confidence: 76%
“…Third, it is clear that other factors we did not monitor effect Macrhybopsis chub species composition and abundance relative to CMS in lower Missouri River. The explainable variation in species-environment relationships we report is within a range typically reported in other ecological studies (20-50%; Borcard et al, 1992;Rodríguez and Magnan, 1995;Marchetti and Moyle, 2001;Økland, 2003;Barko et al, 2004b). However, it leads us to re-examine our approach to identify other factors that may be important to chub conservation given we cannot test the influence of long-term factors with our single-year dataset.…”
Section: Implications Of Macrhybopsis Chub Habitat Use For River Manasupporting
confidence: 76%
“…Our results indicated that taxonomic abundances were influenced strongest by stream size (i.e., depth, width, Table 1 for life history guild nomenclature and axis loadings drainage area) while ecological category abundances were a product of local habitat variation (i.e., substrate, riffle run, channel structure, depth) and gradient. This provides additional support for strong relationships of assemblages and environmental variation (Gorman & Karr, 1978;Grossman et al, 1982;Taylor et al, 1993;Barko et al, 2004). The presence of environmental variation and habitat complexity appears necessary to support diverse fish communities (Smogor & Angermeier, 1999).…”
Section: Discussionmentioning
confidence: 88%
“…The trend toward biotic homogenization of aquatic assemblages that tends to result in generalist taxa has become apparent (Quinn & Kwak, 2003;. Assemblages dominated by tolerant and generalist taxa indicate degraded waterways and decreased habitat complexity (Kinsolving & Bain, 1993;Barko et al, 2004).…”
Section: Discussionmentioning
confidence: 99%
“…In addition, Van Holt et al (2006) reported that no single model predicted fish assemblages well but that high statistical variability in a model predicted fish diversity and that there was a negative relationship between available cover and the number of intolerant species predicted (both as percentages). Others reported that fish assemblage composition is influenced by local habitat complexity (Gorman andKarr, 1978, Schlosser, 1982;Barko et al, 2004). Microhabitat specialization created through adaptive or opportunistic use of available habitats by stream fishes is probably a key component of a species' success (Barko et al, 2004;Rippe, 2005), which likely limits the predictive power of MLR models.…”
Section: Habitat Modeling Summarymentioning
confidence: 99%
“…Others reported that fish assemblage composition is influenced by local habitat complexity (Gorman andKarr, 1978, Schlosser, 1982;Barko et al, 2004). Microhabitat specialization created through adaptive or opportunistic use of available habitats by stream fishes is probably a key component of a species' success (Barko et al, 2004;Rippe, 2005), which likely limits the predictive power of MLR models. Of the 39 fish species analyzed in this study, 67% are habitat generalists (Wells, 2009), presenting a substantial challenge to identifying statistically significant associations with specific habitat variables.…”
Section: Habitat Modeling Summarymentioning
confidence: 99%