Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 759

The DOI matches its Crossref record.

Critical transitions in nature and society

Open access
·2009·Choice Reviews Online

Abstract

How do we explain the remarkably abrupt changes that sometimes occur in nature and society-and can we predict why and when they happen? This book offers a comprehensive introduction to critical transitions in complex systems-the radical changes that happen at tipping points when thresholds are passed. Marten Scheffer accessibly describes the dynamical systems theory behind critical transitions, covering catastrophe theory, bifurcations, chaos, and more. He gives examples of critical transitions in lakes, oceans, terrestrial ecosystems, climate, evolution, and human societies. And he demonstrates how to deal with these transitions, offering practical guidance on how to predict tipping points, how to prevent “bad” transitions, and how to promote critical transitions that work for us and not against us. Scheffer shows the time is ripe for understanding and managing critical transitions in the vast and complex systems in which we live. This book can also serve as a textbook and includes a detailed appendix with equations. • Provides an accessible introduction to dynamical systems theory • Covers critical transitions in lakes, oceans, terrestrial ecosystems, the climate, evolution, and human societies • Explains how to predict tipping points • Offers strategies for preventing “bad” transitions and triggering “good” ones • Features an appendix with equations.

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 · 10.5860/choice.47-1380

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 759

Metadata

Venue
Choice Reviews Online
Published
2009-11-01
Volume
47
Issue
03
Pages
47-1380-47-1380
ISSN
  • 0009-4978 (ISSN-L)
  • 1523-8253
OpenAlex
W330247109
Cited by
759
References
0
Type
book review
Language
en
Open access
green

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: Critical transitions in nature and society. https://app.cochat.ai/papers/10.5860/choice.47-1380
The paper
Critical transitions in nature and society. (2009). Choice Reviews Online. https://doi.org/10.5860/choice.47-1380

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.