Evidence map›Paper›PMID 28442569›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Density dependence in demography and dispersal generates fluctuating invasion speeds.

Lauren L Sullivan, Bingtuan Li, Tom E X Miller, Michael G Neubert, Allison K Shaw

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Rewriting the history of the invasive spiny water flea in North America.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. The spread of non-native species.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  3. Population Dynamics of the Exotic FlatwormEcology and evolution · 2025
    Article
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  9. Dispersals as demographic processes: testing and describing the spread of the Neolithic in the Balkans.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  10. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lauren L SullivanDepartment of Ecology, Evolution and Behavior, University of Minnesota, Saint Paul, MN 55108; lsulliva@umn.edu.ORCID 0000-0002-4198-3483
Bingtuan LiDepartment of Mathematics, University of Louisville, Louisville, KY 40292.
Tom E X MillerDepartment of BioSciences, Program in Ecology and Evolutionary Biology, Rice University, Houston, TX 77005.
Michael G NeubertBiology Department, Woods Hole Oceanographic Institution, Woods Hole, MA 02543.ORCID 0000-0001-8820-5008
Allison K ShawDepartment of Ecology, Evolution and Behavior, University of Minnesota, Saint Paul, MN 55108.ORCID 0000-0001-7969-8365

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Density dependence plays an important role in population regulation and is known to generate temporal fluctuations in population density. However, the ways in which density dependence affects spatial population processes, such as species invasions, are less understood. Although classical ecological theory suggests that invasions should advance at a constant speed, empirical work is illuminating the highly variable nature of biological invasions, which often exhibit nonconstant spreading speeds, even in simple, controlled settings. Here, we explore endogenous density dependence as a mechanism for inducing variability in biological invasions with a set of population models that incorporate density dependence in demographic and dispersal parameters. We show that density dependence in demography at low population densities-i.e., an Allee effect-combined with spatiotemporal variability in population density behind the invasion front can produce fluctuations in spreading speed. The density fluctuations behind the front can arise from either overcompensatory population growth or density-dependent dispersal, both of which are common in nature. Our results show that simple rules can generate complex spread dynamics and highlight a source of variability in biological invasions that may aid in ecological forecasting.

Indexed as

Introduced SpeciesModels, BiologicalPopulation DynamicsAllee effectsbiological invasiondensity-dependent dispersalintegrodifference equationsinvasive species

Identifiers

PMID28442569
PMCPMC5441710

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.