Literature DB >> 20715637

Limited evidence for the demographic Allee effect from numerous species across taxa.

Stephen D Gregory1, Corey J A Bradshaw, Barry W Brook, Franck Courchamp.   

Abstract

Extensive theoretical work on demographic Allee effects has led to the latent assumption that they are ubiquitous in natural populations, yet current empirical support for this phenomenon is sparse. We extended previous single-taxon analyses to evaluate the empirical support for demographic Allee effects in the per capita population growth rate of 1198 natural populations spanning all major taxa. For each population, we quantified the empirical support for five population growth models: no growth (random walk); exponential growth, with and without an Allee effect; and logistic growth, with and without an Allee effect. We used two metrics to quantify empirical support, information-theoretic and Bayesian strength of evidence, and observed top-rank frequency. The Ricker logistic model was both the most supported and most frequently top-ranked model, followed by random walk. Allee models had a combined relative support of 12.0% but were top-ranked in only 1.1% of the time series. Accounting for local climate variation and measurement error caused the loss of top-ranked Allee models, although the latter also increased their relative support. The 13 time series exhibiting Allee models were shorter and less variable than other time series, although only three were non-trending. Time series containing observations at low abundance were not more likely and did not show higher support for Allee effect models. We conclude that there is relatively high potential for demographic Allee effects in these 1198 time series but comparatively few observed cases, perhaps due to the influences of climate and measurement error.

Mesh:

Year:  2010        PMID: 20715637     DOI: 10.1890/09-1128.1

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


  15 in total

1.  Density dependence: an ecological Tower of Babel.

Authors:  Salvador Herrando-Pérez; Steven Delean; Barry W Brook; Corey J A Bradshaw
Journal:  Oecologia       Date:  2012-05-31       Impact factor: 3.225

Review 2.  Thresholds for impaired species recovery.

Authors:  Jeffrey A Hutchings
Journal:  Proc Biol Sci       Date:  2015-06-22       Impact factor: 5.349

3.  Genetic diversity in introduced populations with an Allee effect.

Authors:  Meike J Wittmann; Wilfried Gabriel; Dirk Metzler
Journal:  Genetics       Date:  2014-07-09       Impact factor: 4.562

4.  Programmed Allee effect in bacteria causes a tradeoff between population spread and survival.

Authors:  Robert Smith; Cheemeng Tan; Jaydeep K Srimani; Anand Pai; Katherine A Riccione; Hao Song; Lingchong You
Journal:  Proc Natl Acad Sci U S A       Date:  2014-01-21       Impact factor: 11.205

5.  Generalized Allee effect model.

Authors:  Lindomar S dos Santos; Brenno C T Cabella; Alexandre S Martinez
Journal:  Theory Biosci       Date:  2014-03-17       Impact factor: 1.919

6.  Component, group and demographic Allee effects in a cooperatively breeding bird species, the Arabian babbler (Turdoides squamiceps).

Authors:  Oded Keynan; Amanda R Ridley
Journal:  Oecologia       Date:  2016-05-23       Impact factor: 3.225

7.  Detection of Allee effects in marine fishes: analytical biases generated by data availability and model selection.

Authors:  Tommi Perälä; Anna Kuparinen
Journal:  Proc Biol Sci       Date:  2017-08-30       Impact factor: 5.349

8.  Do social groups prevent Allee effect related extinctions?: The case of wild dogs.

Authors:  Elena Angulo; Greg S A Rasmussen; David W Macdonald; Franck Courchamp
Journal:  Front Zool       Date:  2013-03-15       Impact factor: 3.172

9.  A cryptic Allee effect: spatial contexts mask an existing fitness-density relationship.

Authors:  Akira Terui; Yusuke Miyazaki; Akira Yoshioka; Shin-Ichiro S Matsuzaki
Journal:  R Soc Open Sci       Date:  2015-06-03       Impact factor: 2.963

10.  Estimating Allee dynamics before they can be observed: polar bears as a case study.

Authors:  Péter K Molnár; Mark A Lewis; Andrew E Derocher
Journal:  PLoS One       Date:  2014-01-10       Impact factor: 3.240

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