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Ecobat: An online resource to facilitate transparent, evidence-based interpretation of bat activity data

Lintott, Paul; Davison, Sophie; van Breda, John; Kubasiewicz, Laura; Dowse, David; Daisley, Jonathan; Haddy, Emily; Mathews, Fiona

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Authors

Profile image of Paul Lintott

Paul Lintott Paul.Lintott@uwe.ac.uk
Senior Lecturer in Conservation Science

Sophie Davison

John van Breda

Laura Kubasiewicz

David Dowse

Jonathan Daisley

Emily Haddy

Fiona Mathews



Abstract

© 2017 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. Acoustic surveys of bats are one of the techniques most commonly used by ecological practitioners. The results are used in Ecological Impact Assessments to assess the likely impacts of future developments on species that are widely protected in law, and to monitor developments’ postconstruction. However, there is no standardized methodology for analyzing or interpreting these data, which can make the assessment of the ecological value of a site very subjective. Comparisons of sites and projects are therefore difficult for ecologists and decision-makers, for example, when trying to identify the best location for a new road based on relative bat activity levels along alternative routes. Here, we present a new web-based, data-driven tool, Ecobat, which addresses the need for a more robust way of interpreting ecological data. Ecobat offers users an easy, standardized, and objective method for analyzing bat activity data. It allows ecological practitioners to compare bat activity data at regional and national scales and to generate a numerical indicator of the relative importance of a night's worth of bat activity. The tool is free and open-source; because the underlying algorithms are already developed, it could easily be expanded to new geographical regions and species. Data donation is required to ensure the robustness of the analyses; we use a positive feedback mechanism to encourage ecological practitioners to share data by providing in return high quality, contextualized data analysis, and graphical visualizations for direct use in ecological reports.

Journal Article Type Article
Acceptance Date Nov 8, 2017
Online Publication Date Dec 12, 2017
Publication Date Jan 1, 2018
Deposit Date Nov 24, 2017
Publicly Available Date Nov 24, 2017
Journal Ecology and Evolution
Electronic ISSN 2045-7758
Publisher Wiley Open Access
Peer Reviewed Peer Reviewed
Volume 8
Issue 2
Pages 935-941
DOI https://doi.org/10.1002/ece3.3692
Keywords Chiroptera; conservation tool; data sharing; decision making; ecological consultancy data; environmental impact assessments
Public URL https://uwe-repository.worktribe.com/output/878663
Publisher URL http://dx.doi.org/10.1002/ece3.3692
Contract Date Nov 24, 2017

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