2020
DOI: 10.1080/07011784.2020.1724198
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Spatio-temporal variation of benthic metabolism in a large, regulated river

Abstract: Spatio-temporal patterns of benthic metabolism were measured to determine associations with substrate (cobble vs sand), channel location (main vs side channel), flow regulation (medium-head vs low-head) and temporal variability during the summer months. Benthic metabolism was estimated in two reaches of the Saint John River in New Brunswick, Canada using benthic chambers. General linear models indicated gross primary production (GPP) and community respiration (CR) was greater in cobble substrate in June, but o… Show more

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Cited by 3 publications
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“…Metrics need to capture drivers of natural variability, such as ecological responses to climate change impacts which may influence freshwater community function (Dossena et al, 2012; Poff & Olden, 2017). In addition to traditional community and population indicators, the baseline studies and data of MAES Phase I has begun to evaluate non‐traditional metrics (Palmer & Febria, 2012; Von Schiller et al, 2017) by building full food webs from the super site areas (using stable isotopes—Mor et al, 2018), exploring functional metrics such as metabolism (Irwin, 2017; Yates, Brua, Culp, Young, & Chambers, 2017), and testing eDNA and metabarcoding approaches (Deiner et al, 2017; O'Malley, 2018).…”
Section: Science Framework For Large Dam Reviewmentioning
confidence: 99%
“…Metrics need to capture drivers of natural variability, such as ecological responses to climate change impacts which may influence freshwater community function (Dossena et al, 2012; Poff & Olden, 2017). In addition to traditional community and population indicators, the baseline studies and data of MAES Phase I has begun to evaluate non‐traditional metrics (Palmer & Febria, 2012; Von Schiller et al, 2017) by building full food webs from the super site areas (using stable isotopes—Mor et al, 2018), exploring functional metrics such as metabolism (Irwin, 2017; Yates, Brua, Culp, Young, & Chambers, 2017), and testing eDNA and metabarcoding approaches (Deiner et al, 2017; O'Malley, 2018).…”
Section: Science Framework For Large Dam Reviewmentioning
confidence: 99%