scholarly journals Controls on the composition and lability of dissolved organic matter in Siberia's Kolyma River basin

2012 ◽  
Vol 117 (G1) ◽  
Author(s):  
P. J. Mann ◽  
A. Davydova ◽  
N. Zimov ◽  
R. G. M. Spencer ◽  
S. Davydov ◽  
...  
Keyword(s):  
Organic Matter ◽  
Dissolved Organic Matter ◽  
River Basin ◽  
Kolyma River

scholarly journals Optical properties and bioavailability of dissolved organic matter along a flow-path continuum from soil pore waters to the Kolyma River, Siberia

2015 ◽  
Vol 12 (15) ◽  
pp. 12321-12347 ◽  
Author(s):  
K. E. Frey ◽  
W. V. Sobczak ◽  
P. J. Mann ◽  
R. M. Holmes
Keyword(s):  
Organic Matter ◽  
Optical Properties ◽  
Organic Carbon ◽  
Dissolved Organic Matter ◽  
River Basin ◽  
Flow Path ◽  
The Arctic ◽  
Pore Waters ◽  
Water Types ◽  
Kolyma River

Abstract. The Kolyma River in Northeast Siberia is among the six largest arctic rivers and drains a region underlain by vast deposits of Holocene-aged peat and Pleistocene-aged loess known as yedoma, most of which is currently stored in ice-rich permafrost throughout the region. These peat and yedoma deposits are important sources of dissolved organic matter (DOM) to inland waters that in turn play a significant role in the transport and ultimate remineralization of organic carbon to CO2 and CH4 along the terrestrial flow-path continuum. The turnover and fate of terrigenous DOM during offshore transport will largely depend upon the composition and amount of carbon released to inland and coastal waters. Here, we measured the optical properties of chromophoric DOM (CDOM) from a geographically extensive collection of waters spanning soil pore waters, streams, rivers, and the Kolyma River mainstem throughout a ∼ 250 km transect of the northern Kolyma River basin. During the period of study, CDOM absorbance values were found to be robust proxies for the concentration of DOM, whereas additional CDOM parameters such as spectral slopes (S) were found to be useful indicators of DOM quality along the flow-path. In particular, CDOM absorption at 254 nm showed a strong relationship with dissolved organic carbon (DOC) concentrations across all water types (r2 = 0.958, p < 0.01). The spectral slope ratio (SR) of CDOM demonstrated statistically significant differences between all four water types and tracked changes in the concentration of bioavailable DOC, suggesting that this parameter may be suitable for clearly discriminating shifts in organic matter characteristics among water types along the full flow-path continuum across this landscape. The heterogeneity of environmental characteristics and extensive continuous permafrost of the Kolyma River basin combine to make this a critical region to investigate and monitor. With ongoing and future permafrost degradation, peat and yedoma deposits throughout the Northeast Siberian region will become more hydrologically active, providing greater amounts of DOM to fluvial networks and ultimately to the Arctic Ocean. The ability to rapidly and comprehensively monitor shifts in the quantity and quality of DOM across the landscape is therefore critical for understanding potential future feedbacks on the arctic carbon cycle.

scholarly journals Seasonal and spatial variability in dissolved organic matter quantity and composition from the Yukon River basin, Alaska

2008 ◽  
Vol 22 (4) ◽  
pp. n/a-n/a ◽  
Author(s):  
Robert G. M. Spencer ◽  
George R. Aiken ◽  
Kimberly P. Wickland ◽  
Robert G. Striegl ◽  
Peter J. Hernes
Keyword(s):  
Organic Matter ◽  
Dissolved Organic Matter ◽  
Spatial Variability ◽  
River Basin ◽  
Yukon River ◽  
Yukon River Basin

scholarly journals Spatial and temporal patterns of dissolved organic matter quantity and quality in the Mississippi River Basin, 1997-2013

2016 ◽  
Vol 31 (4) ◽  
pp. 902-915 ◽  
Author(s):  
Sarah M. Stackpoole ◽  
Edward G. Stets ◽  
David W. Clow ◽  
Douglas A. Burns ◽  
George R. Aiken ◽  
...  
Keyword(s):  
Organic Matter ◽  
Dissolved Organic Matter ◽  
River Basin ◽  
Mississippi River ◽  
Temporal Patterns ◽  
Mississippi River Basin ◽  
Spatial And Temporal Patterns
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