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Cited by 400

The DOI matches its Crossref record; 115 of the 115 references it cites were found in a registry or an index.

Carbon cycling in peatlands — A review of processes and controls

Blodau, C·2002·Environmental Reviews
DOI 10.1139/a02-004
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Abstract

Covering only 3% of the land area, northern peatlands store about 30% of the global soil carbon and account for 5 to 10% of the global methane burden to the atmosphere. A review of the literature on net ecosystem exchange, net primary productivity, carbon mineralization, methane emissions, and dissolved organic carbon dynamics indicates that peatlands can be both C sources and sinks. The temporal and spatial variability of fluxes is large, but a substantial portion of this variation can be explained by environmental and ecological variables. Uncertainty in predictions about carbon dynamics under changing environmental conditions arises from a number of knowledge gaps: (i) the understanding of how organic matter is mineralized and partitioned into carbon dioxide, methane, and dissolved organic carbon is insufficient; (ii) little is known about the consequences of long-term and short-term disturbances, such as elevated carbon dioxide concentrations, nitrogen and sulfur deposition, fire, and droughts, on the individual components of the carbon cycle; (iii) models that capture the dynamic interaction of the processes and their controls have not been developed yet, with the notable exception of methane dynamics. Key words: peatlands, carbon cycle, organic matter, carbon dioxide, methane, climate change.

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Metadata

Authors
Blodau, C.
Venue
Environmental Reviews
Publisher
Canadian Science Publishing
Published
2002-05-14
Volume
10
Issue
2
Pages
111-134
ISSN
  • 1181-8700 (ISSN-L)
  • 1208-6053
DOI
10.1139/a02-004
OpenAlex
W1983239894
Cited by
400
References
115
FWCI
3.13
Type
journal article
Language
en
Open access
closed

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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.