Evidence map›Paper›PMID 28052550›Full record

ArticleEcology letters2017

Fast life history traits promote invasion success in amphibians and reptiles.

William L Allen, Sally E Street, Isabella Capellini

Abstract read
In one paragraph

Article in Ecology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
–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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

47 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Invasiveness is linked to greater commercial success in the global pet trade.Proceedings of the National Academy of Sciences of the United States of America · 2021
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  13. Non-native species resist extreme events.Nature ecology & evolution · 2023
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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

3 authors.

William L AllenSchool of Environmental Sciences, University of Hull, Cottingham Road, Hull, HU6 7RX, UK.ORCID 0000-0003-2654-0438
Sally E StreetSchool of Environmental Sciences, University of Hull, Cottingham Road, Hull, HU6 7RX, UK.
Isabella CapelliniSchool of Environmental Sciences, University of Hull, Cottingham Road, Hull, HU6 7RX, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Competing theoretical models make different predictions on which life history strategies facilitate growth of small populations. While 'fast' strategies allow for rapid increase in population size and limit vulnerability to stochastic events, 'slow' strategies and bet-hedging may reduce variance in vital rates in response to stochasticity. We test these predictions using biological invasions since founder alien populations start small, compiling the largest dataset yet of global herpetological introductions and life history traits. Using state-of-the-art phylogenetic comparative methods, we show that successful invaders have fast traits, such as large and frequent clutches, at both establishment and spread stages. These results, together with recent findings in mammals and plants, support 'fast advantage' models and the importance of high potential population growth rate. Conversely, successful alien birds are bet-hedgers. We propose that transient population dynamics and differences in longevity and behavioural flexibility can help reconcile apparently contrasting results across terrestrial vertebrate classes.

Indexed as

Animal DistributionIntroduced SpeciesLife History TraitsAmphibiansAnimalsPhylogenyPopulation DynamicsPopulation GrowthReptilesAmphibiansbiological invasionscomparative analysesinvasion biologyinvasive specieslife history theorypopulation dynamicspopulation growthreptilestransient dynamics

Identifiers

PMID28052550
PMCPMC6849728

What OpenQuestion holds

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Registered trials

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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.