Evidence map›Paper›PMID 30135169›Full record

ReviewProceedings. Biological sciences2018

Direct and indirect effects of chemical contaminants on the behaviour, ecology and evolution of wildlife.

Minna Saaristo, Tomas Brodin, Sigal Balshine, Michael G Bertram, Bryan W Brooks, Sean M Ehlman, Erin S McCallum, Andrew Sih, Josefin Sundin, Bob B M Wong and 1 more

Abstract readReview
In one paragraph

Review in Proceedings. Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 3 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

87 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Beneficial Use Impairments, Degradation of Aesthetics, and Human Health: A Review.International journal of environmental research and public health · 2022
    Pooled it
  3. Sublethal effects of contaminants on marine habitat-forming species: a review and meta-analysis.Biological reviews of the Cambridge Philosophical Society · 2020
    Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review

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

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.

Minna SaaristoSchool of Biological Sciences, Monash University, Melbourne, Australia minna.saaristo@monash.edu.ORCID 0000-0002-9632-8611
Tomas BrodinDepartment of Ecology and Environmental Science, Umeå University, Sweden.
Sigal BalshineDepartment of Psychology, Neuroscience and Behaviour, McMaster University, Ontario, Canada.
Michael G BertramSchool of Biological Sciences, Monash University, Melbourne, Australia.ORCID 0000-0001-5320-8444
Bryan W BrooksDepartment of Environmental Science, Baylor University, TX, USA.
Sean M EhlmanDepartment of Environmental Science and Policy, University of California, Davis, CA, USA.ORCID 0000-0001-6981-9549
Erin S McCallumDepartment of Ecology and Environmental Science, Umeå University, Sweden.
Andrew SihDepartment of Environmental Science and Policy, University of California, Davis, CA, USA.
Josefin SundinDepartment of Neuroscience, Uppsala University, Sweden.
Bob B M WongSchool of Biological Sciences, Monash University, Melbourne, Australia.
Kathryn E ArnoldEnvironment Department, University of York, UK.ORCID 0000-0002-6485-6065

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemical contaminants (e.g. metals, pesticides, pharmaceuticals) are changing ecosystems via effects on wildlife. Indeed, recent work explicitly performed under environmentally realistic conditions reveals that chemical contaminants can have both direct and indirect effects at multiple levels of organization by influencing animal behaviour. Altered behaviour reflects multiple physiological changes and links individual- to population-level processes, thereby representing a sensitive tool for holistically assessing impacts of environmentally relevant contaminant concentrations. Here, we show that even if direct effects of contaminants on behavioural responses are reasonably well documented, there are significant knowledge gaps in understanding both the plasticity (i.e. individual variation) and evolution of contaminant-induced behavioural changes. We explore implications of multi-level processes by developing a conceptual framework that integrates direct and indirect effects on behaviour under environmentally realistic contexts. Our framework illustrates how sublethal behavioural effects of contaminants can be both negative and positive, varying dynamically within the same individuals and populations. This is because linkages within communities will act indirectly to alter and even magnify contaminant-induced effects. Given the increasing pressure on wildlife and ecosystems from chemical pollution, we argue there is a need to incorporate existing knowledge in ecology and evolution to improve ecological hazard and risk assessments.

Indexed as

Biological EvolutionEcosystemEnvironmental ExposureLife History TraitsAnimalsAnimals, WildBehavior, AnimalEnvironmental PollutantsMetalsPesticidesPharmaceutical PreparationsEnvironmental PollutantsMetalsPesticidesPharmaceutical Preparationsbehavioural ecologyendocrine-disrupting chemicalsplasticitypredator-prey dynamicssublethal

Identifiers

PMID30135169
PMCPMC6125903

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.