2015
DOI: 10.1127/fal/2015/0626
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Alternative approaches for estimating components of lake metabolism using the free-water dissolved-oxygen (FWDO) method

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Cited by 9 publications
(21 citation statements)
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“…We observed that the metabolism model was able to successfully estimate rates for up to 116 more days than the bookkeeping method, likely because the model integrates variability in rates throughout the day (McNair et al 2015). While the bookkeeping approach allows for estimates of GPP and R without assuming any mathematical function, there is an overreliance on the differencing of successive DO concentrations (McNair et al 2013).…”
Section: Discussionmentioning
confidence: 97%
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“…We observed that the metabolism model was able to successfully estimate rates for up to 116 more days than the bookkeeping method, likely because the model integrates variability in rates throughout the day (McNair et al 2015). While the bookkeeping approach allows for estimates of GPP and R without assuming any mathematical function, there is an overreliance on the differencing of successive DO concentrations (McNair et al 2013).…”
Section: Discussionmentioning
confidence: 97%
“…Lack of such sensors to characterize the DO dynamics of the full water column remains a challenge for studying whole lake ecosystem metabolism. Metabolism models that incorporate data throughout the water column would likely be able to better reconcile the biological signal relative to physical changes in DO and lead to the estimation of depth-integrated metabolic rates (e.g., Obrador et al 2014, McNair et al 2015.…”
Section: Discussionmentioning
confidence: 99%
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“…Uncertainties that showed up in modeling were most often explained by neglected physical processes, primarily vertical and horizontal transport (Hanson et al ; Staehr et al a ; Solomon et al ; Rose et al ). Indeed, a significant effect of transport on single point DO measurements has repeatedly been demonstrated (Lauster et al ; Sadro et al ; Staehr et al b ; Antenucci et al ; McNair et al ).…”
mentioning
confidence: 92%