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Small Thaw Ponds: An Unaccounted Source of Methane in the Canadian High Arctic

Overview of attention for article published in PLOS ONE, November 2013
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Title
Small Thaw Ponds: An Unaccounted Source of Methane in the Canadian High Arctic
Published in
PLOS ONE, November 2013
DOI 10.1371/journal.pone.0078204
Pubmed ID
Authors

Karita Negandhi, Isabelle Laurion, Michael J. Whiticar, Pierre E. Galand, Xiaomei Xu, Connie Lovejoy

Abstract

Thawing permafrost in the Canadian Arctic tundra leads to peat erosion and slumping in narrow and shallow runnel ponds that surround more commonly studied polygonal ponds. Here we compared the methane production between runnel and polygonal ponds using stable isotope ratios, ¹⁴C signatures, and investigated potential methanogenic communities through high-throughput sequencing archaeal 16S rRNA genes. We found that runnel ponds had significantly higher methane and carbon dioxide emissions, produced from a slightly larger fraction of old carbon, compared to polygonal ponds. The methane stable isotopic signature indicated production through acetoclastic methanogenesis, but gene signatures from acetoclastic and hydrogenotrophic methanogenic Archaea were detected in both polygonal and runnel ponds. We conclude that runnel ponds represent a source of methane from potentially older C, and that they contain methanogenic communities able to use diverse sources of carbon, increasing the risk of augmented methane release under a warmer climate.

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Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Mexico 1 <1%
United States 1 <1%
Unknown 106 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 21%
Researcher 23 21%
Student > Master 22 20%
Student > Doctoral Student 8 7%
Student > Postgraduate 6 5%
Other 15 13%
Unknown 15 13%
Readers by discipline Count As %
Environmental Science 32 29%
Agricultural and Biological Sciences 29 26%
Earth and Planetary Sciences 18 16%
Immunology and Microbiology 3 3%
Social Sciences 2 2%
Other 5 4%
Unknown 23 21%