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Cited by 265

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Evaluation of Different Soil Carbon Determination Methods

Chatterjee, A., Lal, R., Wielopolski, L., Martin, M. Z., Ebinger, M. H.·2009·Critical Reviews in Plant Sciences

Abstract

Determining soil carbon (C) with high precision is an essential requisite for the success of the terrestrial C sequestration program. The informed choice of management practices for different terrestrial ecosystems rests upon accurately measuring the potential for C sequestration. Numerous methods are available for assessing soil C. Chemical analysis of field-collected samples using a dry combustion method is regarded as the standard method. However, conventional sampling of soil and their subsequent chemical analysis is expensive and time consuming. Furthermore, these methods are not sufficiently sensitive to identify small changes over time in response to alterations in management practices or changes in land use. Presently, several different in situ analytic methods are being developed purportedly offering increased accuracy, precision and cost-effectiveness over traditional ex situ methods. We consider that, at this stage, a comparative discussion of different soil C determination methods will improve the understanding needed to develop a standard protocol.

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Metadata

Authors
Chatterjee, A., Lal, R., Wielopolski, L., Martin, M. Z., & Ebinger, M. H.
Venue
Critical Reviews in Plant Sciences
Published
2009-04-03
Volume
28
Issue
3
Pages
164-178
ISSN
  • 0735-2689 (ISSN-L)
  • 1549-7836
OpenAlex
W2120895581
Cited by
265
References
3
FWCI
13.76
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Evaluation of Different Soil Carbon Determination Methods. https://app.cochat.ai/papers/10.1080/07352680902776556
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Chatterjee, A., Lal, R., Wielopolski, L., Martin, M. Z., & Ebinger, M. H. (2009). Evaluation of Different Soil Carbon Determination Methods. Critical Reviews in Plant Sciences. https://doi.org/10.1080/07352680902776556

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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.