McLay, L. K., Hopkins, J. P., Wong, B. B. M., Candolin, U., & Jones, T. M. (2019). What is the available evidence that artificial light at night affects animal behaviour? A systematic map protocol. Environmental Evidence, 8(S1). https://doi.org/10.1186/s13750-019-0151-9
What is the available evidence that artificial light at night affects animal behaviour? : a systematic map protocol
|Author:||McLay, Lucy Katherine1; Hopkins, Juhani Peter2; Wong, Bob Bern Ming3;|
1School of BioSciences, Faculty of Science, The University of Melbourne, Melbourne, VIC, 3010, Australia
2Department of Ecology and Genetics, University of Oulu, 90014 Oulu, Finland
3School of Biological Sciences, Faculty of Science, Monash University, Clayton, VIC, 3168, Australia
4Department of Organismal and Evolutionary Biology, University of Helsinki, 00014 Helsinki, Finland
|Online Access:||PDF Full Text (PDF, 0.8 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019071123030
|Publish Date:|| 2019-07-11
Background: Artificial light at night (ALAN), has increased dramatically over the past two centuries and is linked to demonstrable shifts in a range of behaviours across diverse animal taxa. This systematic map will collate and synthesise the documented effects of ALAN on animal behaviour and fitness, identify gaps in the literature, inform future research and provide the basis for a decision-making tool for informing policy makers.
Methods: This systematic map will summarise and examine all available evidence on the effects of ALAN on animal behaviour and ensuing fitness effects. All documented changes to behaviour in animals (excluding humans), will be included and both peer reviewed primary and grey literature will be searched. Searches will be conducted in academic journal databases, online search engines, and specialist websites. Articles will be screened for inclusion in the systematic map at title, abstract and full-text levels and will then be critically appraised for study robustness and validity. Data from studies included in the review will then be extracted and coded according to categories informed by consultation with Stakeholders. Data will be summarised, where possible, in a quantitative manner, accompanied with a descriptive overview. Future avenues for research and specific questions suitable for a systematic literature review will be formulated.
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
1181 Ecology, evolutionary biology
The project is funded by the Academy of Finland (Grant 24302211), the Jenny and Antti Wihuri Foundation, and a Ben Gurion University of the Negev-Monash University collaborative grant. Publication costs are funded by the Ben Gurion University of the Negev-Monash University collaborative grant.
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