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      How Effective Is Road Mitigation at Reducing Road-Kill? A Meta-Analysis

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          Abstract

          Road traffic kills hundreds of millions of animals every year, posing a critical threat to the populations of many species. To address this problem there are more than forty types of road mitigation measures available that aim to reduce wildlife mortality on roads (road-kill). For road planners, deciding on what mitigation method to use has been problematic because there is little good information about the relative effectiveness of these measures in reducing road-kill, and the costs of these measures vary greatly. We conducted a meta-analysis using data from 50 studies that quantified the relationship between road-kill and a mitigation measure designed to reduce road-kill. Overall, mitigation measures reduce road-kill by 40% compared to controls. Fences, with or without crossing structures, reduce road-kill by 54%. We found no detectable effect on road-kill of crossing structures without fencing. We found that comparatively expensive mitigation measures reduce large mammal road-kill much more than inexpensive measures. For example, the combination of fencing and crossing structures led to an 83% reduction in road-kill of large mammals, compared to a 57% reduction for animal detection systems, and only a 1% for wildlife reflectors. We suggest that inexpensive measures such as reflectors should not be used until and unless their effectiveness is tested using a high-quality experimental approach. Our meta-analysis also highlights the fact that there are insufficient data to answer many of the most pressing questions that road planners ask about the effectiveness of road mitigation measures, such as whether other less common mitigation measures (e.g., measures to reduce traffic volume and/or speed) reduce road mortality, or to what extent the attributes of crossing structures and fences influence their effectiveness. To improve evaluations of mitigation effectiveness, studies should incorporate data collection before the mitigation is applied, and we recommend a minimum study duration of four years for Before-After, and a minimum of either four years or four sites for Before-After-Control-Impact designs.

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          Most cited references17

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          Coordinated distributed experiments: an emerging tool for testing global hypotheses in ecology and environmental science

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            Measures to reduce population fragmentation by roads: what has worked and how do we know?

            Roads impede animal movement, which decreases habitat accessibility and reduces gene flow. Ecopassages have been built to mitigate this but there is little research with which to evaluate their effectiveness, owing to the difficulty in accessing results of existing research; the lack of scientific rigor in these studies; and the low priority of connectivity planning in road projects. In this article, we suggest that the imperative for improving studies of ecopassage effectiveness is that road ecology research should be included from the earliest stages of road projects onwards. This would enable before-after-control-impact (BACI) design research, producing useful information for the particular road project as well as rigorous results for use in future road mitigation. Well-designed studies on ecopassage effectiveness could help improve landscape connectivity even with the increasing number and use by traffic of roads. Copyright © 2012 Elsevier Ltd. All rights reserved.
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              Rates and causes of mortality in a fragmented population of Iberian lynx Felis pardina Temminck, 1824

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                21 November 2016
                2016
                : 11
                : 11
                : e0166941
                Affiliations
                [1 ]Geomatics and Landscape Ecology Research Laboratory, Department of Biology, Carleton University, Ontario, Canada
                [2 ]Australian Research Centre for Urban Ecology, Royal Botanic Gardens Victoria, C/- School of BioSciences, University of Melbourne, 3010, Victoria, Australia
                [3 ]Department of Geography, Planning and Environment, Concordia University Montreal, 1455 Montreal, Quebec, Canada
                [4 ]Institute of the Environment & Ottawa-Carleton Institute of Biology, Ottawa, Ontario, Canada
                [5 ]Department of Biology, University of New Brunswick at Saint John, Saint John, 550, New Brunswick, Canada
                [6 ]Alterra, Wageningen University and Research Centre, Wageningen, The Netherlands
                Beihang University, CHINA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: TR KS JAGJ LF CSF JH RvdR EAvdG.

                • Data curation: TR KS JAGJ CSF EAvdG.

                • Formal analysis: TR KS JAGJ CSF EAvdG.

                • Funding acquisition: LF RvdR EAvdG.

                • Methodology: TR KS JAGJ LF CSF JH RvdR EAvdG.

                • Project administration: TR EAvdG.

                • Software: TR.

                • Supervision: EAvdG.

                • Validation: TR KS JAGJ LF CSF JH RvdR EAvdG.

                • Visualization: TR.

                • Writing – original draft: TR.

                • Writing – review & editing: TR KS JAGJ LF CSF JH RvdR EAvdG.

                [¤]

                Current address: Clean Air and Urban Landscapes Hub, National Environmental Science Programme, School of Ecosystem and Forest Science, University of Melbourne, Victoria, Australia

                Article
                PONE-D-16-25380
                10.1371/journal.pone.0166941
                5117745
                27870889
                60b341b8-0ba2-45ae-bf49-97d89ad64db1
                © 2016 Rytwinski et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 24 June 2016
                : 6 November 2016
                Page count
                Figures: 8, Tables: 3, Pages: 25
                Funding
                Funded by: CEDR Transnational Road Research Programme
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000038, Natural Sciences and Engineering Research Council of Canada;
                Award Recipient :
                Funded by: the Baker Foundation
                Award Recipient :
                Funded by: the Baker Foundation
                Award Recipient :
                Funded by: ARC Centre for Excellence in Environmental Decisions
                Award Recipient :
                This study was supported by the SAFEROAD project ( www.saferoad-cedr.org), part of CEDR Transnational Road Research Programme Call 2013: Roads and Wildlife, which is funded by the national road administrations of Austria, Denmark, Germany, Ireland, Norway, Sweden, Netherlands and United Kingdom to EvdG, the Natural Sciences and Engineering Research Council of Canada ( www.nserc-crsng.gc.ca/)to LF, the Baker Foundation to RvdR and KS, and the ARC Centre for Excellence in Environmental Decisions to KS. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Organisms
                Animals
                Animal Types
                Wildlife
                Biology and Life Sciences
                Zoology
                Animal Types
                Wildlife
                Biology and Life Sciences
                Organisms
                Animals
                Vertebrates
                Amniotes
                Mammals
                Engineering and Technology
                Civil Engineering
                Transportation Infrastructure
                Roads
                Engineering and Technology
                Transportation
                Transportation Infrastructure
                Roads
                Biology and Life Sciences
                Organisms
                Animals
                Vertebrates
                Amphibians
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Meta-Analysis
                Physical Sciences
                Mathematics
                Statistics (Mathematics)
                Statistical Methods
                Meta-Analysis
                Biology and Life Sciences
                Organisms
                Animals
                Vertebrates
                Amniotes
                Reptiles
                People and Places
                Demography
                Death Rates
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Death Rates
                Engineering and Technology
                Transportation
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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