Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 333

The DOI matches its Crossref record.

Land Degradation in the Drylands

Dregne, H. E.·2002·Arid Land Research and Management

Abstract

Land degradation in the drylands, also called desertification, has affected the world for centuries, even millennia, in Africa, Asia, and Mediterranean Europe, for one or two centuries in the Americas, and 100 years or less in Australia. Among the principal degradation processes are vegetation degradation in rangelands, water and wind erosion, salinization of irrigated and certain semiarid lands, and soil compaction. Farmers, ranchers, and researchers, in general, are aware, from their personal experiences, of the environmental changes land degradation has brought. Unfortunately, there are little good research data on just how much damage has been done. Much of the evidence is from what can be seen, such as gullies, mobile sand dunes, and buried cities, as well as undocumented anecdotes of ancient and modern travelers. Given the uncertain data base, it is no wonder that there are radically different beliefs of the severity and the damage cost of land degradation in the drylands. This review attempts to analyze global information sources and draw tentative conclusions on the significance of on-site and off-site impacts of land degradation. The pressing need is for more reliable data that will help determine the priority the problem should have in national and international planning.

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 · 10.1080/153249802317304422

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 333

Metadata

Authors
Dregne, H. E.
Venue
Arid Land Research and Management
Published
2002-01
Volume
16
Issue
2
Pages
99-132
ISSN
  • 0890-3069 (ISSN-L)
  • 1532-4982
  • 1532-4990
OpenAlex
W2004320151
Cited by
333
References
0
FWCI
7.73
Type
journal article
Language
en
Open access
closed

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: Land Degradation in the Drylands. https://app.cochat.ai/papers/10.1080/153249802317304422
The paper
Dregne, H. E. (2002). Land Degradation in the Drylands. Arid Land Research and Management. https://doi.org/10.1080/153249802317304422

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.