CoChat
Sign Up
Cited by 660Soil Management and Crop YieldSoil Science and Environmental ManagementSustainable Agricultural Systems Analysis

The DOI matches its Crossref record; 19 of the 20 references it cites were found in a registry or an index.

Identifying critical limits for soil quality indicators in agro-ecosystems

Arshad, M.A., Martin, S.·2002·Agriculture, Ecosystems & Environment
DOI 10.1016/s0167-8809(01)00252-3
Open this paper in CoChat — free account

Abstract

The maintenance of soil quality is critical to environmental sustainability. Although, several papers have been published on this subject, progress in soil quality monitoring has been slow. Knowledge and assessment of changes (positive or negative) in its status with time is needed to evaluate the impact of different management practices. Selection of key indicators and their critical limits (threshold values), which must be maintained for normal functioning of the soil, are required to monitor changes and determine trends in improvement or deterioration in soil quality for various agro-ecological zones for use at district, national and global levels. Many soil indicators interact with each other, and thus, the value of one is affected by one or more of the selected parameters. Interdependence of pH and nutrient availability, electrical conductivity and infiltration, etc. has been well documented by many researchers. Some researchers have proposed procedures for evaluating soil quality functions by combining and integrating specific elements into soil quality indices. These procedures allow for weighting of various functions, depending upon the user goals and socio-economic concerns. Although, selection of soil indicators will vary with societal goals, the followings seem to be suitable indicators for crop production in most cases: organic matter, topsoil-depth, infiltration, aggregation, pH, electrical conductivity, suspected pollutants must be identified to develop meaningful soil quality assessment. Also, monitoring soil indicators needs to set up sampling strategies allowing assessment of changes in soil quality which might be hidden by soil heterogeneity, by seasonal fluctuations or by analytical uncertainties. This paper describes the guidelines that can be followed to identify critical limits for the key indicators and the procedure for monitoring changes in soil quality trend.

Overview

Integrity signals

Registry

Crossref · 10.1016/s0167-8809(01)00252-3

Cites

19 of 19 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 20 references

Research works printed but not linked: 8

  1. Coen, G. M., 1996. Models: how they relate to soil quality indicators. In: Proceedings of the Soil Quality Assessment for the Prairies Workshop, Edmonton, AB, 22–24 January 1996, pp. 14–20.
  2. FAO, 1995. Planning for sustainable use of land resources: towards a new approach: In: Sombroek, W.G., Sims, D. (Eds.), Land and Water Bulletin No. 2. FAO, Rome.
  3. FAO, 1997. Land quality indicators and their use in sustainable agriculture and rural development. FAO Land and Water Bulletin No. 5. FAO, Rome, 212 pp.
  4. Keeney, 1999, Soil quality: a call for action, Conservat. Voices, 2, 4
  5. Martin, S., Baize, D., Bonneau, M., Chaussod, R., Gaultier, J.P., Lavelle, P., Legros, J.P., Leprêtre, A., Sterckeman, T., 1998. The French national soil quality observatory. In: Proceedings of the 16th World Congress on Soil Science, Symposium 25, Montpellier, France, 20–26 August 1998.
  6. Reiniger, P., 1997. Critical levels of trace metals in soils: the European view. In: Proceedings of the 4th Internetional Conference on the Biogeochemistry of Trace Elements, Berkeley, CA, USA, June 1997.
  7. Rodale Institute, 1991. In: Proceedings of the International Conference on the Assessment and Monitoring of Soil Quality. Conference Report and Abstracts. Rodale Press, Emmaus, PA, USA.
  8. Warkentin, B.P., 1996. Overview of soil quality indicators. In: Proceedings of the Soil Quality Assessment on the Prairies Workshop, Edmonton, 22–24 January 1996, pp. 1–13.

Cited by

Sorted by citations

Items 501–600 of 659

Related

See all

Metadata

Authors
Arshad, M. A., & Martin, S.
Affiliations
Agriculture and Agri-Food Canada (CA)
Corresponding author
Arshad, M.A.
ORCID
Arshad, M.A.
Venue
Agriculture, Ecosystems & Environment
Publisher
Elsevier BV
Published
2002-02
Volume
88
Issue
2
Pages
153-160
ISSN
0167-8809 (ISSN-L)
DOI
10.1016/s0167-8809(01)00252-3
OpenAlex
W2163640583
Cited by
660
References
20
Citations by year
2026: 19 · 2025: 23 · 2024: 39 · 2023: 43 · 2022: 30 · 2021: 41 · 2020: 41 · 2019: 42 · 2018: 32 · 2017: 41 · 2016: 25 · 2015: 36 · 2014: 35 · 2013: 32 · 2012: 28
FWCI
25.26
Type
journal article
Language
en
Open access
closed
Licence
Locations
Agriculture Ecosystems & Environment (publishedVersion)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Management and Crop Yield
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Science and Environmental Management
  • Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Sustainable Agricultural Systems Analysis
Keywords
soil quality indicators, critical limits, cut-off values, soil quality assessment, soil quality monitoring, soil quality index, soil organic matter, soil pH, electrical conductivity, infiltration, soil aggregation, soil respiration, crop yield, soil heterogeneity, sampling strategy, agroecosystems

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