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Cited by 300

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

Plant‐dependent CH4 emission in a subarctic Canadian fen

Whiting, Gary J., Chanton, Jeffrey P.·1992·Global Biogeochemical Cycles

Abstract

The importance of vegetation in affecting CH 4 emissions was investigated in a Carex‐dominated fen located near Schefferville, Quebec, and in the Experimental Lakes Area, Ontario. Comparison of emission rates with and without the presence of aboveground vegetation indicated that over 90% of the emission was plant‐associated transport. Further evidence of this association was found in a linear correlation of CH 4 emission with aboveground plant biomass (R=0.93). To test the importance of aboveground plant photosynthetic production on methane production, aboveground vegetation was clipped from sites continually over the growing season. Both emissions and dissolved pore water CH 4 were reduced relative to adjacent vegetated areas. A significant correlation (R=0.93) of CH 4 emissions with net CO 2 exchange in this fen gives evidence of the close association between new plant production and methanogenesis.

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Metadata

Authors
Whiting, G. J., & Chanton, J. P.
Venue
Global Biogeochemical Cycles
Published
1992-09
Volume
6
Issue
3
Pages
225-231
ISSN
  • 0886-6236 (ISSN-L)
  • 1944-9224
OpenAlex
W2063292445
Cited by
300
References
24
FWCI
14.54
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Plant‐dependent CH4 emission in a subarctic Canadian fen. https://app.cochat.ai/papers/10.1029/92gb00710
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Whiting, G. J., & Chanton, J. P. (1992). Plant‐dependent CH4 emission in a subarctic Canadian fen. Global Biogeochemical Cycles. https://doi.org/10.1029/92gb00710

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.