Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 169

The DOI matches its Crossref record.

The Soil Microbial Biomass: Concept, Measurement and Applications in Soil Ecosystem Research.

Open access
Brookes, Philip·2001·Microbes and Environments

Abstract

For many purposes the soil micro-organisms can be considered as a single pool of living soil organic matter (the soil microbial biomass).Current methods to measure the microbial biomass are described and their merits and demerits discussed.The concept of the microbial biomass as a living soil organic matter pool is illustrated by reference to it as a labile reservoir of potentially plant-available nutrients.An estimate of the turnover times of biomass carbon (C) of 0.94 years and of biomass phosphorus (P) of 0.39 years shows that the turnover rates of nutrients within the biomass may be quite different.An understanding of the dynamics of biomass P is important.The lack of P availability in many tropical agricultural soils has been described as 'the bottle-neck of world hunger'.Even if P is supplied it may be rapidly and irreversibly fixed in these, usually, strongly P-fixing soils.By adding small rates of animal manures with the fertilizer, more biomass P is formed.During the process of biomass turnover, this P may be released slowly and taken up by the crop more efficiently.Thus, in a Kenyan P-fixing soil, crop yields were much larger when both manure and fertilizer P were given than when either were applied singly.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1264/jsme2.2001.131

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 169

Metadata

Authors
Brookes, P.
Venue
Microbes and Environments
Published
2001
Volume
16
Issue
3
Pages
131-140
ISSN
  • 1342-6311 (ISSN-L)
  • 1347-4405
OpenAlex
W1982656152
Cited by
169
References
0
FWCI
0.78
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The Soil Microbial Biomass: Concept, Measurement and Applications in Soil Ecosystem Research. https://app.cochat.ai/papers/10.1264/jsme2.2001.131
The paper
Brookes, P. (2001). The Soil Microbial Biomass: Concept, Measurement and Applications in Soil Ecosystem Research. Microbes and Environments. https://doi.org/10.1264/jsme2.2001.131

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.