2017
DOI: 10.1002/eap.1602
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Metacommunity theory meets restoration: isolation may mediate how ecological communities respond to stream restoration

Abstract: An often-cited benefit of river restoration is an increase in biodiversity or shift in composition to more desirable taxa. Yet, hard manipulations of habitat structure often fail to elicit a significant response in terms of biodiversity patterns. In contrast to conventional wisdom, the dispersal of organisms may have as large an influence on biodiversity patterns as environmental conditions. This influence of dispersal may be particularly influential in river networks that are linear branching, or dendritic, a… Show more

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Cited by 53 publications
(102 citation statements)
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References 58 publications
(141 reference statements)
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“…We used a mixed model (R function lme ) to perform a repeated measures ANOVA with season, network position (i.e., order), and restoration state (i.e., reach) as fixed factors and site as a random factor. The results of the repeated measures ANOVA on local diversity were similar to those presented in Swan and Brown (). In the original paper, we report a difference in local diversity between restored and unrestored reaches in HW sites, but no difference between reaches at MS sites (Table ).…”
Section: Results From a Mixed Models Repeated Measures Anova For Locasupporting
confidence: 82%
See 4 more Smart Citations
“…We used a mixed model (R function lme ) to perform a repeated measures ANOVA with season, network position (i.e., order), and restoration state (i.e., reach) as fixed factors and site as a random factor. The results of the repeated measures ANOVA on local diversity were similar to those presented in Swan and Brown (). In the original paper, we report a difference in local diversity between restored and unrestored reaches in HW sites, but no difference between reaches at MS sites (Table ).…”
Section: Results From a Mixed Models Repeated Measures Anova For Locasupporting
confidence: 82%
“…Here, we report results for the local diversity and temporal variability analyses based on the correct data set. Further, we discuss the implications of the new results relative to those reported in Swan and Brown ().…”
Section: Results From a Mixed Models Repeated Measures Anova For Locamentioning
confidence: 58%
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