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Cited by 290

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

Measurements of the soil microbial community for estimating the success of restoration

Harris, J. A.·2003·European Journal of Soil Science

Abstract

Summary: Land degradation is of concern in many countries. In order for timely and effective interventions to be made to reverse this degradation it is necessary to have objective measurements of ecosystem status. By measuring characteristics of the soil microbial community we can assess the status of the microbial ecosystem and in that sense the quality of the soil, and the potential for, and progress of, restoration after degradation. Recent research has shown quantitatively how by measuring the soil microbial community we can assess degradation and the effects of management designed to reverse it. The size, composition and activity of the soil microbial community convincingly distinguish between systems, and between the impact of management strategies upon them. Measurements of these characteristics of the microbial community provide invaluable information for restoring degraded land and are ready for routine use. Specifically, profiles of phospholipid fatty acid contents, and substrate induced respiratory responses to different carbon substrates, will yield significant data upon which management decisions may be based.

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Metadata

Authors
Harris, J. A.
Venue
European Journal of Soil Science
Publisher
Wiley
Published
2003-10-09
Volume
54
Issue
4
Pages
801-808
ISSN
  • 1351-0754 (ISSN-L)
  • 1365-2389
OpenAlex
W2126661383
Cited by
290
References
3
FWCI
10.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Measurements of the soil microbial community for estimating the success of restoration. https://app.cochat.ai/papers/10.1046/j.1351-0754.2003.0559.x
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Harris, J. A. (2003). Measurements of the soil microbial community for estimating the success of restoration. European Journal of Soil Science. https://doi.org/10.1046/j.1351-0754.2003.0559.x

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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.