Evidence map›Paper›PMID 25730852›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Evidence and implications of higher-order scaling in the environmental variation of animal population growth.

Jake M Ferguson, José M Ponciano

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

11 citing papers in PubMed.

  1. Disentangling the contributions of density dependence and independence to population growth rates.Ecological applications : a publication of the Ecological Society of America · 2026
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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

2 authors.

Jake M FergusonDepartment of Biology, University of Florida, Gainesville, FL 32611 troutinthemilk@ufl.edu.
José M PoncianoDepartment of Biology, University of Florida, Gainesville, FL 32611.

Funding

Genetic regulationR01GM103604 · NIGMS · UNIVERSITY OF FLORIDA · PI PONCIANO, JOSE MIGUEL · 2013 to 2016
$947k
NIGMS NIH HHS 5R01GM103604-03NIGMS NIH HHS R01 GM103604
6 · The paper itself

Abstract

Environmental stochasticity is an important concept in population dynamics, providing a quantitative model of the extrinsic fluctuations driving population abundances. It is typically formulated as a stochastic perturbation to the maximum reproductive rate, leading to a population variance that scales quadratically with abundance. However, environmental fluctuations may also drive changes in the strength of density dependence. Very few studies have examined the consequences of this alternative model formulation while even fewer have tested which model better describes fluctuations in animal populations. Here we use data from the Global Population Dynamics Database to determine the statistical support for this alternative environmental variance model in 165 animal populations and test whether these models can capture known population-environment interactions in two well-studied ungulates. Our results suggest that variation in the density dependence is common and leads to a higher-order scaling of the population variance. This scaling will often stabilize populations although dynamics may also be destabilized under certain conditions. We conclude that higher-order environmental variation is a potentially ubiquitous and consequential property of animal populations. Our results suggest that extinction risk estimates may often be overestimated when not properly taking into account how environmental fluctuations affect population parameters.

Indexed as

Databases, FactualEcosystemModels, BiologicalAnimalsPopulation Dynamicsenvironmental variancepopulation viability analysisstochastic modeltime seriesvariance scaling

Identifiers

PMID25730852
PMCPMC4352823

What OpenQuestion holds

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Registered trials

None linked

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.