Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/29183
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Ecobat: An online resource to facilitate transparent, evidence-based interpretation of bat activity data
Author(s): Lintott, Paul R
Davison, Sophie
van Breda, John
Kubasiewicz, Laura
Dowse, David
Daisley, Jonathan
Haddy, Emily
Mathews, Fiona
Keywords: Chiroptera
conservation tool
data sharing
decision making
ecological consultancy data
environmental impact assessments
Issue Date: Jan-2018
Citation: Lintott PR, Davison S, van Breda J, Kubasiewicz L, Dowse D, Daisley J, Haddy E & Mathews F (2018) Ecobat: An online resource to facilitate transparent, evidence-based interpretation of bat activity data. Ecology and Evolution, 8 (2), pp. 935-941. https://doi.org/10.1002/ece3.3692
Abstract: 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.
DOI Link: 10.1002/ece3.3692
Rights: © 2017 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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