2018
DOI: 10.7930/soccr2.2018.ch14
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Chapter 14: Inland Waters. Second State of the Carbon Cycle Report

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Cited by 18 publications
(19 citation statements)
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“…2, m.local for GPP > m.local for ER), cumulative riverine CO2 production increases faster than watershed size because larger rivers continue to be net heterotrophic and 6 BSA increases at a faster rate than watershed area. The median estimate of CO2 derived from riverine metabolism for the 7 th order watershed (4.6 g m -2 of watershed area yr -1 ) is comparable to a global estimate of 6.7 g m -2 yr -1 , derived from estimates of total riverine emissions of CO2 28 and an average value of riverine contribution to CO2 flux 9 . We conclude that because of superlinear scaling of BSA and a tendency for increasing GPP and ER (m.local > 0) the contribution of riverine processes to watershed-scale CO2 emissions increases as watershed area increases, with respiration in large rivers (> 4 th order) contributing significantly because of large relative BSA and net CO2 production.…”
Section: Superlinear Scaling Of Cumulative River Network Function Witsupporting
confidence: 56%
See 1 more Smart Citation
“…2, m.local for GPP > m.local for ER), cumulative riverine CO2 production increases faster than watershed size because larger rivers continue to be net heterotrophic and 6 BSA increases at a faster rate than watershed area. The median estimate of CO2 derived from riverine metabolism for the 7 th order watershed (4.6 g m -2 of watershed area yr -1 ) is comparable to a global estimate of 6.7 g m -2 yr -1 , derived from estimates of total riverine emissions of CO2 28 and an average value of riverine contribution to CO2 flux 9 . We conclude that because of superlinear scaling of BSA and a tendency for increasing GPP and ER (m.local > 0) the contribution of riverine processes to watershed-scale CO2 emissions increases as watershed area increases, with respiration in large rivers (> 4 th order) contributing significantly because of large relative BSA and net CO2 production.…”
Section: Superlinear Scaling Of Cumulative River Network Function Witsupporting
confidence: 56%
“…Finally, we also applied an empirically-derived zero-order scenario to demonstrate how allometric scaling of biogeochemical function vs. watershed size is relevant to an important issue currently being addressed by the research community, the role of surface waters in the net carbon balance in the earth system 4,9,28 . Functions of local GPP and ER versus watershed area of the river reach (Equation 2) were derived from a broad synthesis of measured stream metabolism 34 across a range of stream sizes (1 -10,000 km 2 ).…”
Section: River Network Modelmentioning
confidence: 99%
“…As a rough approximation of watershed‐level ebullitive CH 4 emissions (mg CH 4 m −2 watershed area d −1 ), we estimated the overall flux for each stream as the product of the average daily flux rate and the total stream surface area, normalized by watershed size as follows: where benthic surface area (km 2 ) is estimated using a product of stream lengths derived from 2 m digital elevation models and estimates of stream width from a survey of each stream (Table S2 ). Watershed flux is converted to mg CH 4 m −2 watershed area d −1 to compare with watershed carbon fluxes from streams in previous studies (Crawford et al 2014 ; Butman et al 2018 ). This analysis assumes the ebullitive fluxes calculated for a reach is consistent throughout the entire stream.…”
Section: Methodsmentioning
confidence: 99%
“…However, a comprehensive understanding of controls on emissions of these gases both spatially and temporally is needed to accurately scale to continental or global extents (Kirschke et al 2013 ; Saunois et al 2020 ). In particular, measurements of CH 4 dynamics in streams and rivers are scarce (Stanley et al 2016 ), and as a result these ecosystems are rarely included in global CH 4 inventories (Butman et al 2018 ). Observations of CH 4 concentrations and fluxes across studies suggest most streams are sources of CH 4 to the atmosphere (Stanley et al 2016 ).…”
mentioning
confidence: 99%
“…Riverine transport of carbon (C), as dissolved inorganic (DIC), dissolved organic C (DOC), and particulate organic C (POC), is increasingly recognized as contributing to the global C cycle (Battin et al, 2009; Cole et al, 2007; Drake et al, 2017; Tranvik et al, 2009). As a result, the quantification of C movement across the land‐water interface, which is estimated at >5.0 Pg yr −1 globally (Butman et al, 2018; Drake et al, 2017), and how the speciation of this flux varies across ecosystem types are essential topics of study within the aquatic and Earth sciences (Csank et al, 2019; Tomco et al, 2019). Previous studies in small forested catchments show that rainfall‐runoff processes are key drivers of the lateral export of terrestrial C to surface waters (Boyer et al, 1997; Hinton et al, 1997; Raymond & Saiers, 2010; Vaughan et al, 2019), with the bulk of annual catchment DOC export typically occurring during high flow events (Raymond et al, 2016; Wiegner et al, 2009; Wilson et al, 2013).…”
Section: Introductionmentioning
confidence: 99%