2015
DOI: 10.1002/2015jg002955
|View full text |Cite
|
Sign up to set email alerts
|

Hydraulics are a first‐order control on CO2 efflux from fluvial systems

Abstract: Evasion of carbon dioxide (CO 2 ) from fluvial systems is now recognized as a significant component of the global carbon cycle. However, the magnitude of, and controls on, this flux remains uncertain, and improved understanding of both is required to refine global estimates of fluvial CO 2 efflux. CO 2 efflux data show no pattern with latitude suggesting that catchment biological productivity is not a primary control and that an alternative explanation for intersite variability is required. It has been suggest… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

3
33
0

Year Published

2016
2016
2017
2017

Publication Types

Select...
6
1
1

Relationship

1
7

Authors

Journals

citations
Cited by 38 publications
(36 citation statements)
references
References 55 publications
3
33
0
Order By: Relevance
“…25 Table. 3 shows the comparison of annual runoff and carbon flux in three types of river data in West Siberian Lowland (including Ob River basin) and Mekong River basin. The simulated results are generally in the range of previous data (Schlunz and Schneider, 2000;Coynel et al, 2005;Alin et al, 2011;Dai et al, 2012;Long et al, 2015), as evaluated in the author's previous studies (Fig. A2 in Appendix A) (Nakayama, 2017a(Nakayama, , 2017b.…”
Section: Difference Of Hydrologic and Carbon Cycles Between Ob River supporting
confidence: 63%
See 1 more Smart Citation
“…25 Table. 3 shows the comparison of annual runoff and carbon flux in three types of river data in West Siberian Lowland (including Ob River basin) and Mekong River basin. The simulated results are generally in the range of previous data (Schlunz and Schneider, 2000;Coynel et al, 2005;Alin et al, 2011;Dai et al, 2012;Long et al, 2015), as evaluated in the author's previous studies (Fig. A2 in Appendix A) (Nakayama, 2017a(Nakayama, , 2017b.…”
Section: Difference Of Hydrologic and Carbon Cycles Between Ob River supporting
confidence: 63%
“…(Nakayama, 2017a(Nakayama, , 2017b in order to estimate the carbon cycle both in vertical flux such as CO2 evasion to the atmosphere and sediment storage, and in horizontal transport such as TOC, DOC, POC, DIC-flux to the ocean in previous data of these rivers (Schlunz and Schneider, 2000;Coynel et al, 2005;Rasera et al, 2008;Dubois et al, 2010;Alin et al, 2011;Butman and Raymond, 2011;Dai et al, 2012;10 Striegl et al, 2012;Abril et al, 2015;Lauerwald et al, 2015;Long et al, 2015). There are no data about CO2 evasion but only pCO2 and average efflux data in Mekong River Long et al, 2015), the author estimated CO2 evasion by multiplying the average efflux (gC/m 2 /yr) and water area (km 2 ). It is important that the model captured a variety of carbon budgets in these six rivers of the globe as depicted by Tranvik et al (2009).…”
Section: Difference Of Hydrologic and Carbon Cycles Between Ob River mentioning
confidence: 99%
“…Stream p CO 2 also responds to discharge, which tends to increase the CO 2 gas transfer velocity ( kCO2true) via surface turbulence [ Demars and Manson , ; Long et al , ; Raymond et al , ; Wallin et al , ]. In addition to flow velocity, turbulence depends on stream hydraulics such as stream depth, width, and slope.…”
Section: Co2 Contents In Streamsmentioning
confidence: 99%
“…In streams, k is highly variable, can have local hot spots, and is dependent on slope, depth, flow velocity, etc. (Long et al, 2015;Raymond et al, 2012;Wallin et al, 2011).…”
Section: Why Is Spatio-temporal Variability a Concern?mentioning
confidence: 99%