Systematic review and meta-analysis of studies testing the efficacy of shark-bite mitigation

1. The development and scientific testing of shark-bite mitigation measures are increasing, but unstandardised testing impedes our ability to compare their efficacy. 2. We did a systematic review and meta-analysis to summarise efficacy using qualitative and quantitative approaches. 3. We reviewed 67 papers testing 114 measures across three mitigation types (area/personal/injury reduction). Measures to protect areas were the most tested ( n = 64), followed by personal deterrents ( n = 29). Effectiveness (based on vote-counting analysis) and mean Hedges’ g were similar across mitigation types, but personal measures, especially electric deterrents, had the highest variation and magnitude of effect sizes. Personal deterrent studies were all manipulative and provided the ability to test reduction in simulated bites, whereas area protection studies were often mensurative (70 %) and mostly measured shark abundance. 4. We recommend that future studies use the highest inference type as is reasonably practical (i.e., reduction in actual or simulated shark bites rather than differences in shark abundance). As the number of shark bites and the period over which mitigation measures have been implemented increase, so will opportunities to test the effectiveness of area protection quantitatively using high-inference metrics. 5. Our findings should encourage discussions among policy makers, water users, and conservationists to test measures with robust, quantitative assessments to reduce shark-bite risk.

Authors

Institutions

Publication Details

Journal
Marine Policy
Published
2025-10-30
DOI
https://doi.org/10.1016/j.marpol.2025.106934
Citations
1
Primary Topic
Ichthyology and Marine Biology
Type
article
Field-Weighted Citation Impact
2.31
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Systematic review and meta-analysis of studies testing the efficacy of shark-bite mitigation

Corey J. A. Bradshaw, Madeline Riley, Charlie P.M. Huveneers
1 citations
Marine Policy
Ichthyology and Marine Biology
2.31
article

Systematic review and meta-analysis of studies testing the efficacy of shark-bite mitigation

Corey J. A. Bradshaw, Madeline Riley, Charlie P.M. Huveneers
article en
1 citations

Abstract

1. The development and scientific testing of shark-bite mitigation measures are increasing, but unstandardised testing impedes our ability to compare their efficacy. 2. We did a systematic review and meta-analysis to summarise efficacy using qualitative and quantitative approaches. 3. We reviewed 67 papers testing 114 measures across three mitigation types (area/personal/injury reduction). Measures to protect areas were the most tested ( n = 64), followed by personal deterrents ( n = 29). Effectiveness (based on vote-counting analysis) and mean Hedges’ g were similar across mitigation types, but personal measures, especially electric deterrents, had the highest variation and magnitude of effect sizes. Personal deterrent studies were all manipulative and provided the ability to test reduction in simulated bites, whereas area protection studies were often mensurative (70 %) and mostly measured shark abundance. 4. We recommend that future studies use the highest inference type as is reasonably practical (i.e., reduction in actual or simulated shark bites rather than differences in shark abundance). As the number of shark bites and the period over which mitigation measures have been implemented increase, so will opportunities to test the effectiveness of area protection quantitatively using high-inference metrics. 5. Our findings should encourage discussions among policy makers, water users, and conservationists to test measures with robust, quantitative assessments to reduce shark-bite risk.

Marine PolicyVol. 184
Flinders University (AU)
Openalex Percentile: Top 10%
Ichthyology and Marine Biology
2.31
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.