Evidence map›Paper›PMID 38905300›Full record

ArticlePloS one2024

Spatial and life history variation in a trait-based species vulnerability and impact model.

Aharon G Fleury, Casey C O'Hara, Nathalie Butt, Jaime Restrepo, Benjamin S Halpern, Carissa J Klein, Caitlin D Kuempel, Kaitlyn M Gaynor, Lily K Bentley, Anthony J Richardson and 1 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Aharon G FleuryCentre for Biodiversity and Conservation Science, The School of the Environment, The University of Queensland, St. Lucia, Queensland, Australia.ORCID 0000-0002-4452-3167
Casey C O'HaraBren School of Environmental Science and Management, University of California-Santa Barbara, Santa Barbara, California, United States of America.ORCID 0000-0003-2968-7005
Nathalie ButtCentre for Biodiversity and Conservation Science, The School of the Environment, The University of Queensland, St. Lucia, Queensland, Australia.
Jaime RestrepoCentre for Biodiversity and Conservation Science, The School of the Environment, The University of Queensland, St. Lucia, Queensland, Australia.ORCID 0000-0001-7473-4961
Benjamin S HalpernBren School of Environmental Science and Management, University of California-Santa Barbara, Santa Barbara, California, United States of America.
Carissa J KleinCentre for Biodiversity and Conservation Science, The School of the Environment, The University of Queensland, St. Lucia, Queensland, Australia.
Caitlin D KuempelAustralian Rivers Institute, Coastal and Marine Research Centre, Griffith University, Nathan, Queensland, Australia.
Kaitlyn M GaynorDepartments of Zoology and Botany, University of British Columbia, Vancouver, British Columbia, Canada.
Lily K BentleyCentre for Biodiversity and Conservation Science, The School of the Environment, The University of Queensland, St. Lucia, Queensland, Australia.ORCID 0000-0002-0365-6385
Anthony J RichardsonCentre for Biodiversity and Conservation Science, The School of the Environment, The University of Queensland, St. Lucia, Queensland, Australia.
Daniel C DunnCentre for Biodiversity and Conservation Science, The School of the Environment, The University of Queensland, St. Lucia, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthropogenic pressures threaten biodiversity, necessitating conservation actions founded on robust ecological models. However, prevailing models inadequately capture the spatiotemporal variation in environmental pressures faced by species with high mobility or complex life histories, as data are often aggregated across species' life histories or spatial distributions. We highlight the limitations of static models for dynamic species and incorporate life history variation and spatial distributions for species and stressors into a trait-based vulnerability and impact model. We use green sea turtles in the Greater Caribbean Region to demonstrate how vulnerability and anthropogenic impact for a dynamic species change across four life stages. By incorporating life stages into a trait-based vulnerability model, we observed life stage-specific vulnerabilities that were otherwise unnoticed when using an aggregated trait value set. Early life stages were more vulnerable to some stressors, such as inorganic pollution or marine heat waves, and less vulnerable to others, such as bycatch. Incorporating spatial distributions of stressors and life stages revealed impacts differ for each life stage across spatial areas, emphasizing the importance of stage-specific conservation measures. Our approach showcases the importance of incorporating dynamic processes into ecological models and will enable better and more targeted conservation actions for species with complex life histories and high mobility.

Indexed as

TurtlesAnimalsBiodiversityCaribbean RegionConservation of Natural ResourcesEcosystemLife Cycle StagesLife History TraitsModels, Biological

Identifiers

PMID38905300
PMCPMC11192397

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.