2018
DOI: 10.1002/eap.1654
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Hierarchical multi‐taxa models inform riparian vs. hydrologic restoration of urban streams in a permeable landscape

Abstract: The degradation of streams caused by urbanization tends to follow predictable patterns; however, there is a growing appreciation for heterogeneity in stream response to urbanization due to the local geoclimatic context. Furthermore, there is building evidence that streams in mildly sloped, permeable landscapes respond uncharacteristically to urban stress calling for a more nuanced approach to restoration. We evaluated the relative influence of local-scale riparian characteristics and catchment-scale impervious… Show more

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Cited by 9 publications
(7 citation statements)
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References 69 publications
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“…Furthermore, these metrics ignored taxa identification and so did not capture the variety of responses within functional groups. These disadvantages of community summary metrics have been noted in the ecological literature (Gwinn et al., ; Olden, ; Olden, Joy, & Death, ) with multi‐taxa models proposed as a solution. However, multi‐taxa models are rarely applied to plant research (but see Chen, Kery, Plattner, Ma, & Gardner, ) and default methods of determining community patterns include modelling community summary metrics (e.g.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Furthermore, these metrics ignored taxa identification and so did not capture the variety of responses within functional groups. These disadvantages of community summary metrics have been noted in the ecological literature (Gwinn et al., ; Olden, ; Olden, Joy, & Death, ) with multi‐taxa models proposed as a solution. However, multi‐taxa models are rarely applied to plant research (but see Chen, Kery, Plattner, Ma, & Gardner, ) and default methods of determining community patterns include modelling community summary metrics (e.g.…”
Section: Discussionmentioning
confidence: 99%
“…functional groups) to reduce variation in plant data and to increase the ease of interpreting complex patterns can mask true changes in assemblage structure because taxonomic identity is not retained. For example, a few dominant taxa can disproportionately influence the value of summary metrics, masking potential responses by rare taxa and failing to capture the diversity of responses among taxa (Bent & Forney, ; Gwinn et al., ).…”
Section: Introductionmentioning
confidence: 99%
“…We ran the same analysis either by keeping or removing the outliers (articles with >15 taxa, e.g. Gwinn et al, 2018), and replacing the number of taxonomic ranks (study taxonomic range) by the mean pairwise phylogenetic distance between taxa (MPD; Webb et al, 2002) for articles with at least two taxa. We also ran two sensitivity analyses to test whether (i) the allocation of traits into groups of trait types affected the results and (ii) the trade‐off would be maintained if we removed trait types from the dataset.…”
Section: Methods To Characterize the Researchmentioning
confidence: 99%
“…In Australasia ecologists in research institutions and networks are using bioindicators, for this purpose, and specifically using macroinvertebrate indices appropriate to location and waterway type. Australian examples of such institutes include the CRC Water Sensitive Cities (2019) ; the Waterway Ecosystem Research Group at the University of Melbourne ( Walsh and Webb, 2013 ; Walsh et al., 2016 ); and collaborative researchers in Perth ( Gwinn et al., 2018 ). Walsh et al.…”
Section: Methodsmentioning
confidence: 99%
“…In Australasia ecologists in research institutions and networks are using bioindicators, for this purpose, and specifically using macroinvertebrate indices appropriate to location and waterway type. Australian examples of such institutes include the CRC Water Sensitive Cities 2019 and collaborative researchers in Perth (Gwinn et al, 2018). Walsh et al (2015) reported on the as yet little-changed biological and water quality responses of a comparative catchment experiment where they retrofitted 289 stormwater retention systems to the treatment catchment.…”
Section: The Use Of Bioindicatorsmentioning
confidence: 99%