Evidence map›Paper›PMID 26699477›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Fast-slow continuum and reproductive strategies structure plant life-history variation worldwide.

Roberto Salguero-Gómez, Owen R Jones, Eelke Jongejans, Simon P Blomberg, David J Hodgson, Cyril Mbeau-Ache, Pieter A Zuidema, Hans de Kroon, Yvonne M Buckley

Erratum issuedAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 121 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
121citing 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

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

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61 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Roberto Salguero-GómezSchool of Biological Sciences, Centre for Biodiversity and Conservation Science, The University of Queensland, St. Lucia QLD 4072, Australia; Evolutionary Demography Laboratory, Max Planck Institute for Demographic Research, Rostock 18057, Germany; r.salguero@uq.edu.au.
Owen R JonesMax Planck Odense Center on the Biodemography of Aging, University of Southern Denmark, Odense M 5230, Denmark; Department of Biology, University of Southern Denmark, Odense M 5230, Denmark;
Eelke JongejansDepartment of Animal Ecology and Physiology, Institute for Water and Wetland Research, Radboud University, Nijmegen 6500 GL, The Netherlands;
Simon P BlombergSchool of Biological Sciences, Centre for Biodiversity and Conservation Science, The University of Queensland, St. Lucia QLD 4072, Australia;
David J HodgsonCentre for Ecology and Conservation, University of Exeter, Tremough TR10 9EZ, United Kingdom;
Cyril Mbeau-AcheSchool of Biological Sciences, Plymouth University, Plymouth PL4 8AA, United Kingdom;
Pieter A ZuidemaForest Ecology and Forest Management Group, Wageningen University, Wageningen 6700 AA, The Netherlands;
Hans de KroonDepartment of Experimental Plant Ecology, Institute for Water and Wetland Research, Radboud University, Nijmegen 6500 GL, The Netherlands;
Yvonne M BuckleySchool of Biological Sciences, Centre for Biodiversity and Conservation Science, The University of Queensland, St. Lucia QLD 4072, Australia; School of Natural Sciences Trinity College Dublin, University of Dublin, Dublin 2, Ireland; Trinity Centre for Biodiversity Research, Zoology, Trinity College Dublin, University of Dublin, Dublin 2, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of patterns in life-history strategies across the tree of life is essential to our prediction of population persistence, extinction, and diversification. Plants exhibit a wide range of patterns of longevity, growth, and reproduction, but the general determinants of this enormous variation in life history are poorly understood. We use demographic data from 418 plant species in the wild, from annual herbs to supercentennial trees, to examine how growth form, habitat, and phylogenetic relationships structure plant life histories and to develop a framework to predict population performance. We show that 55% of the variation in plant life-history strategies is adequately characterized using two independent axes: the fast-slow continuum, including fast-growing, short-lived plant species at one end and slow-growing, long-lived species at the other, and a reproductive strategy axis, with highly reproductive, iteroparous species at one extreme and poorly reproductive, semelparous plants with frequent shrinkage at the other. Our findings remain consistent across major habitats and are minimally affected by plant growth form and phylogenetic ancestry, suggesting that the relative independence of the fast-slow and reproduction strategy axes is general in the plant kingdom. Our findings have similarities with how life-history strategies are structured in mammals, birds, and reptiles. The position of plant species populations in the 2D space produced by both axes predicts their rate of recovery from disturbances and population growth rate. This life-history framework may complement trait-based frameworks on leaf and wood economics; together these frameworks may allow prediction of responses of plants to anthropogenic disturbances and changing environments.

Indexed as

Plant DevelopmentReproductionEcosystemEnvironmentPhylogenyPlant LeavesPlantsPopulation DynamicsPopulation GrowthWoodgeneration timeiteroparitylife history strategymatrix population modelphylogenetic signal

Identifiers

PMID26699477
PMCPMC4711876

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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.