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Short and Long‐Term Controls on Active Layer and Permafrost Carbon Turnover Across the Arctic.

Authors :
Faucherre, Samuel
Jørgensen, Christian Juncher
Blok, Daan
Weiss, Niels
Siewert, Matthias Benjamin
Bang‐Andreasen, Toke
Hugelius, Gustaf
Kuhry, Peter
Elberling, Bo
Source :
Journal of Geophysical Research. Biogeosciences; Feb2018, Vol. 123 Issue 2, p372-390, 19p
Publication Year :
2018

Abstract

Abstract: Decomposition of soil organic matter (SOM) in permafrost terrain and the production of greenhouse gases is a key factor for understanding climate change‐carbon feedbacks. Previous studies have shown that SOM decomposition is mostly controlled by soil temperature, soil moisture, and carbon‐nitrogen ratio (C:N). However, focus has generally been on site‐specific processes and little is known about variations in the controls on SOM decomposition across Arctic sites. For assessing SOM decomposition, we retrieved 241 samples from 101 soil profiles across three contrasting Arctic regions and incubated them in the laboratory under aerobic conditions. We assessed soil carbon losses (C<subscript>loss</subscript>) five times during a 1 year incubation. The incubated material consisted of near‐surface active layer (AL<subscript>NS</subscript>), subsurface active layer (AL<subscript>SS</subscript>), peat, and permafrost samples. Samples were analyzed for carbon, nitrogen, water content, δ<superscript>13</superscript>C, δ<superscript>15</superscript>N, and dry bulk density (DBD). While no significant differences were observed between total AL<subscript>SS</subscript> and permafrost C<subscript>loss</subscript> over 1 year incubation (2.3 ± 2.4% and 2.5 ± 1.5% C<subscript>loss</subscript>, respectively), AL<subscript>NS</subscript> samples showed higher C<subscript>loss</subscript> (7.9 ± 4.2%). DBD was the best explanatory parameter for active layer C<subscript>loss</subscript> across sites. Additionally, results of permafrost samples show that C:N ratio can be used to characterize initial C<subscript>loss</subscript> between sites. This data set on the influence of abiotic parameter on microbial SOM decomposition can improve model simulations of Arctic soil CO<subscript>2</subscript> production by providing representative mean values of CO<subscript>2</subscript> production rates and identifying standard parameters or proxies for upscaling potential CO<subscript>2</subscript> production from site to regional scales. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21698953
Volume :
123
Issue :
2
Database :
Complementary Index
Journal :
Journal of Geophysical Research. Biogeosciences
Publication Type :
Academic Journal
Accession number :
128483567
Full Text :
https://doi.org/10.1002/2017JG004069