Abstract

BackgroundExposure to radiofrequency (RF) electromagnetic fields (EMF), particularly from telecommunications sources, is one of the most common and fastest growing anthropogenic factors on the environment. In many countries, humans are protected from excessive RF EMF exposure by safety standards that are based on guidelines by the International Commission on Non-Ionizing Radiation Protection (ICNIRP). The ICNIRP guidelines are based on knowledge of how RF EMF affects the human body, however, there are currently no recognised international guidelines to specifically protect animals and plants. Whether the ICNIRP guidelines for humans is adequate to provide protection to the environment is a subject of active debate. This systematic map will collate all the available evidence on whether anthropogenic RF EMF has a negative effect on plants and animals in the environment. The map will also identify gaps in knowledge, recommend future research and inform environmental and radiation protection authorities.MethodsThe proposed systematic map will include peer-reviewed and grey literature published in English. The EMF—Portal, PubMed and Web of Science databases will be searched using a search string prepared by the review team and tested for comprehensiveness against a list of known relevant reviews. Once duplicates are removed, retrieved articles will be screened in three stages: title, abstract, and full text. Studies will be selected with a subject population of all plants and animals, with exposures to anthropogenic RF EMF (frequency range 100 kHz–300 GHz) compared to no or lower-level exposure, and for all outcomes related to the studied populations. Kappa statistic tests will be conducted at each stage to ensure consistency of decision-making regarding the predefined inclusion/exclusion criteria. Eligible studies will then proceed to the data extraction phase, which will extract meta-data such as bibliographic information, taxonomic information, RF EMF exposure data, outcome(s), sample size, etc. The extracted data will then be organised into a systematic map and the findings summarised by cross-tabulating key meta-data variables in heat maps, charts or other data visualization methods. The systematic map will identify gaps in knowledge, priorities for future research and potential subtopics for further analysis and/or systematic review.

Highlights

  • Exposure to radiofrequency (RF) electromagnetic fields (EMF), from telecommunications sources, is one of the most common and fastest growing anthropogenic factors on the environment

  • Artificial sources of RF EMF are mainly used for telecommunications purposes such as radio and television broadcasting, mobile telephony, satellite transmissions, Wi-Fi and numerous other wireless communications [2]

  • The global pervasiveness of these sources, for telecommunications, means that anthropogenic RF EMF is ubiquitous in the environment [4]

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Summary

Methods

Searching for articles The search strategy has been designed to identify a comprehensive set of research papers investigating RF EMF exposure from a wide range of sources on animals and plants. It has collected an extensive literature database of 34,372 publications on the effects of electromagnetic fields with articles dating back as far as 1904 As this database is specific to EMF exposure, when conducting the search only the population search terms will be used along with filters for topics and frequency range. The systematic map will identify possible knowledge gaps (unrepresented or underrepresented subtopics that warrant further primary research) and knowledge clusters (well-represented subtopics for full synthesis by a systematic review) by cross-tabulating key meta-data variables (e.g. taxonomic groups, exposure characteristics and outcomes) in heat maps, charts or other data visualization methods Based on these results, recommendations will be made on priorities for future original research and further analyses/systematic reviews on the impacts of RF EMF on animals and plants in the environment

Background
Findings
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