Evidence map›Paper›PMID 39569752›Full record

ArticleGlobal change biology2024

Measuring the Response Diversity of Ecological Communities Experiencing Multifarious Environmental Change.

Francesco Polazzo, Romana Limberger, Frank Pennekamp, Samuel R P-J Ross, Gavin L Simpson, Owen L Petchey

Abstract read
In one paragraph

Article in Global change biology, 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

6 authors.

Francesco PolazzoDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.ORCID 0000-0003-2092-5011
Romana LimbergerDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-9421-7520
Frank PennekampDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.ORCID 0000-0003-0679-1045
Samuel R P-J RossIntegrative Community Ecology Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Okinawa, Japan.ORCID 0000-0001-9402-9119
Gavin L SimpsonDepartment of Animal and Veterinary Science, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-9084-8413
Owen L PetcheyDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-7724-1633

Funding

Okinawa Institute of Science and Technology Graduate University (OIST)Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 310030_188431Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 320030-231294
6 · The paper itself

Abstract

The diversity in organismal responses to environmental changes (i.e., response diversity) plays a crucial role in shaping community and ecosystem stability. However, existing measures of response diversity only consider a single environmental variable, whereas natural communities are commonly exposed to changes in multiple environmental variables simultaneously. Thus far, no approach exists to integrate multifarious environmental change and the measurement of response diversity. Here, we show how to consider and quantify response diversity in the context of multifarious environmental change, and in doing so introduce a distinction between response diversity to a defined or anticipated environmental change, and the response capacity to any possible set of (defined or undefined) future environmental changes. First, we describe and illustrate the concepts with empirical data. We reveal the role of the trajectory of environmental change in shaping response diversity when multiple environmental variables fluctuate over time. We show that, when the trajectory of the environmental change is undefined (i.e., there is no information or a priori expectation about how an environmental condition will change in future), we can quantify the response capacity of a community to any possible environmental change scenario. That is, we can estimate the capacity of a system to respond under a range of realistic or extreme environmental changes, with utility for predicting future responses to even multifarious environmental change. Finally, we investigate determinants of response diversity within a multifarious environmental change context. We identify factors such as the diversity of species responses to each environmental variable, the relative influence of different environmental variables and temporal means of environmental variable values as important determinants of response diversity. In doing so, we take an important step towards measuring and understanding the insurance capacity of ecological communities exposed to multifarious environmental change.

Indexed as

BiodiversityAnimalsClimate ChangeEcosystemEnvironmentModels, Biologicaldirectional derivativesecological stabilitygeneralised additive models (GAMs)multiple stressorsresponse capacityresponse diversityresponse surface

Identifiers

PMID39569752
PMCPMC11580112

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.