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Soil Enzyme Activities and Biodiversity Measurements as Integrative Microbiological Indicators

Dick, Richard P., Breakwell, Donald P., Turco, Ronald F.·1997·SSSA Special Publications

Abstract

This chapter offers two approaches for assessing soil biological properties: process level biological indexes and functional community diversity. It provides background information on the emerging biodiversity methods of phospholipid ester-linked fatty acid pattern and DNA characterization. Sampling for soil biological properties requires some special considerations because of the dynamic nature of the biological component of the soil. Air drying greatly facilitates sample handling and allows for timely analysis. Combining this with the relative simplicity of many enzyme assays makes it possible to run a large number of samples on a routine basis. A few enzymes have potential as indicators of viable soil microbial biomass or activity. Enzymes that correlate closely with microbial activity, however, may be less suited to predict long-term changes or trajectory in soil quality because they would reflect management or seasonal effects that may be transitory.

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Metadata

Authors
Dick, R. P., Breakwell, D. P., & Turco, R. F.
Venue
SSSA Special Publications
Publisher
Wiley
Published
1997-01
Pages
247-271
ISSN
  • 0081-1904 (ISSN-L)
  • 2165-9826
OpenAlex
W1546154197
Cited by
550
References
0
Type
other
Language
en
Open access
closed

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CoChat. (2026). Citation check: Soil Enzyme Activities and Biodiversity Measurements as Integrative Microbiological Indicators. https://app.cochat.ai/papers/10.2136/sssaspecpub49.c15
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Dick, R. P., Breakwell, D. P., & Turco, R. F. (1997). Soil Enzyme Activities and Biodiversity Measurements as Integrative Microbiological Indicators. SSSA Special Publications. https://doi.org/10.2136/sssaspecpub49.c15

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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.