Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 406

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Quantifying the extinction vortex

Fagan, William F., Holmes, E. E.·2006·Ecology Letters

Abstract

We developed a database of 10 wild vertebrate populations whose declines to extinction were monitored over at least 12 years. We quantitatively characterized the final declines of these well‐monitored populations and tested key theoretical predictions about the process of extinction, obtaining two primary results. First, we found evidence of logarithmic scaling of time‐to‐extinction as a function of population size for each of the 10 populations. Second, two lines of evidence suggested that these extinction‐bound populations collectively exhibited dynamics akin to those theoretically proposed to occur in extinction vortices. Specifically, retrospective analyses suggested that a population size of n individuals within a decade of extinction was somehow less valuable to persistence than the same population size was earlier. Likewise, both year‐to‐year rates of decline and year‐to‐year variability increased as the time‐to‐extinction decreased. Together, these results provide key empirical insights into extinction dynamics, an important topic that has received extensive theoretical attention.

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 · 10.1111/j.1461-0248.2005.00845.x

Cites

31 of 31 references verified0 citation errors · 0 not checkable

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

Cites

Show all 31 references

Cited by

See all 406

Metadata

Authors
Fagan, W. F., & Holmes, E. E.
Venue
Ecology Letters
Publisher
Wiley
Published
2005-11-09
Volume
9
Issue
1
Pages
51-60
ISSN
  • 1461-023X (ISSN-L)
  • 1461-0248
OpenAlex
W2122879786
Cited by
406
References
31
FWCI
4.59
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: Quantifying the extinction vortex. https://app.cochat.ai/papers/10.1111/j.1461-0248.2005.00845.x
The paper
Fagan, W. F., & Holmes, E. E. (2006). Quantifying the extinction vortex. Ecology Letters. https://doi.org/10.1111/j.1461-0248.2005.00845.x

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.