Contaminant-induced behavioural changes in amphibians: A meta-analysis.


Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
25 Nov 2019
Historique:
received: 23 05 2019
revised: 20 07 2019
accepted: 22 07 2019
pubmed: 2 8 2019
medline: 22 11 2019
entrez: 2 8 2019
Statut: ppublish

Résumé

Environmental contamination contributes to the threatened status of many amphibian populations. Many contaminants alter behaviour at concentrations commonly experienced in the environment, with negative consequences for individual fitness, populations and communities. A comprehensive, quantitative evaluation of the behavioural sensitivity of amphibians is warranted to better understand the population-level and resultant ecological impacts of contaminants. We conducted a systematic review and meta-analysis evaluating behavioural changes following exposure to contaminants. Most studies were conducted in North America and Europe on larval stages, and 64% of the 116 studies focussed on the effects of insecticides. We found that a suite of contaminants influence a wide range of behaviours in amphibians, with insecticides typically invoking the strongest responses. In particular, insecticides increased rates of abnormal swimming, and reduced escape responses to simulated predator attacks. Our analysis identified five key needs for future research, in particular the need: (1) for researchers to provide more details of experimental protocols and results (2) to develop a strong research base for future quantitative reviews, (3) to broaden the suite of contaminants tested, (4) to better study and thus understand the effects of multiple stressors, and (5) to establish the ecological importance of behavioural alterations. Behavioural endpoints provide useful sub-lethal indicators of how contaminants influence amphibians, and coupled with standard ecotoxicological endpoints, can provide valuable information for population models assessing the broader ecological consequences of environmental contamination.

Identifiants

pubmed: 31369889
pii: S0048-9697(19)33490-4
doi: 10.1016/j.scitotenv.2019.07.376
pii:
doi:

Substances chimiques

Insecticides 0
Water Pollutants, Chemical 0

Types de publication

Journal Article Meta-Analysis Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

133570

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Michael Sievers (M)

School of BioSciences, The University of Melbourne, Parkville, Victoria 3010, Australia; School of Ecosystem and Forest Sciences, The University of Melbourne, Parkville, Victoria 3010, Australia; Australian Rivers Institute - Coast & Estuaries, Griffith University, Gold Coast, Queensland 4222, Australia. Electronic address: m.sievers@griffith.edu.au.

Robin Hale (R)

School of BioSciences, The University of Melbourne, Parkville, Victoria 3010, Australia.

Kirsten M Parris (KM)

School of Ecosystem and Forest Sciences, The University of Melbourne, Parkville, Victoria 3010, Australia.

Steven D Melvin (SD)

Australian Rivers Institute, Griffith University, Southport, Queensland 4222, Australia.

Chantal M Lanctôt (CM)

Australian Rivers Institute, Griffith University, Southport, Queensland 4222, Australia.

Stephen E Swearer (SE)

School of BioSciences, The University of Melbourne, Parkville, Victoria 3010, Australia.

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Classifications MeSH