Evidence map›Paper›PMID 39421328›Full record

ArticleEcology and evolution2024

Accounting for effects of growth rate when measuring ecological stability in response to pulse perturbations.

Andrea Mentges, Adam Thomas Clark, Shane A Blowes, Charlotte Kunze, Helmut Hillebrand, Jonathan M Chase

Abstract read
In one paragraph

Article in Ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Andrea MentgesGerman Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig Leipzig Germany.ORCID https://orcid.org/0000-0002-5639-194X
Adam Thomas ClarkInstitute of Biology, University of Graz Graz Austria.ORCID https://orcid.org/0000-0002-8843-3278
Shane A BlowesGerman Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig Leipzig Germany.
Charlotte KunzeInstitute for Chemistry and Biology of Marine Environments [ICBM] Carl-von-Ossietzky University Oldenburg Wilhelmshaven Germany.
Helmut HillebrandInstitute for Chemistry and Biology of Marine Environments [ICBM] Carl-von-Ossietzky University Oldenburg Wilhelmshaven Germany.
Jonathan M ChaseGerman Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig Leipzig Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ecological stability is a vital component of natural ecosystems that can inform effective conservation and ecosystem management. Furthermore, there is increasing interest in making comparisons of stability values across sites, systems and taxonomic groups, often using comparative synthetic approaches, such as meta-analysis. However, these synthetic approaches often compare/contrast systems where measures of stability mean very different things to the taxa involved. Here, we present results from theoretical models and empirical data to illustrate how differences in growth rates among taxa influence four widely used metrics of ecological stability of species abundances responding to pulse perturbations: resilience, recovery, resistance and temporal stability. We refer to these classic growth-rate-dependent metrics as 'realised' stability. We show that realised resilience and realised temporal stability vary as a function of organisms' growth rates; realised recovery depends on the relation between growth rate and sampling duration; and realised resistance depends on the relation between growth rate and sampling interval. To account for these influences, we introduce metrics intended to be more independent of growth rates, which we refer to as 'intrinsic' stability. Intrinsic stability can be used to summarise the overall effects of a disturbance, separately from internal recovery processes - thereby allowing more general comparisons of disturbances across organisms and contexts. We argue that joint consideration of both realised and intrinsic stability is important for future comparative studies.

Indexed as

comparative analysisevidence synthesisgrowth rate dependencemeta‐analysisstability measures

Identifiers

PMID39421328
PMCPMC11483556

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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.