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

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. How...

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Autores principales: Lintott, Paul R., Davison, Sophie, van Breda, John, Kubasiewicz, Laura, Dowse, David, Daisley, Jonathan, Haddy, Emily, Mathews, Fiona
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5773315/
https://www.ncbi.nlm.nih.gov/pubmed/29375767
http://dx.doi.org/10.1002/ece3.3692
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author Lintott, Paul R.
Davison, Sophie
van Breda, John
Kubasiewicz, Laura
Dowse, David
Daisley, Jonathan
Haddy, Emily
Mathews, Fiona
author_facet Lintott, Paul R.
Davison, Sophie
van Breda, John
Kubasiewicz, Laura
Dowse, David
Daisley, Jonathan
Haddy, Emily
Mathews, Fiona
author_sort Lintott, Paul R.
collection PubMed
description 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.
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spelling pubmed-57733152018-01-26 Ecobat: An online resource to facilitate transparent, evidence‐based interpretation of bat activity data Lintott, Paul R. Davison, Sophie van Breda, John Kubasiewicz, Laura Dowse, David Daisley, Jonathan Haddy, Emily Mathews, Fiona Ecol Evol Original Research 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. John Wiley and Sons Inc. 2017-12-12 /pmc/articles/PMC5773315/ /pubmed/29375767 http://dx.doi.org/10.1002/ece3.3692 Text en © 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 (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Lintott, Paul R.
Davison, Sophie
van Breda, John
Kubasiewicz, Laura
Dowse, David
Daisley, Jonathan
Haddy, Emily
Mathews, Fiona
Ecobat: An online resource to facilitate transparent, evidence‐based interpretation of bat activity data
title Ecobat: An online resource to facilitate transparent, evidence‐based interpretation of bat activity data
title_full Ecobat: An online resource to facilitate transparent, evidence‐based interpretation of bat activity data
title_fullStr Ecobat: An online resource to facilitate transparent, evidence‐based interpretation of bat activity data
title_full_unstemmed Ecobat: An online resource to facilitate transparent, evidence‐based interpretation of bat activity data
title_short Ecobat: An online resource to facilitate transparent, evidence‐based interpretation of bat activity data
title_sort ecobat: an online resource to facilitate transparent, evidence‐based interpretation of bat activity data
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5773315/
https://www.ncbi.nlm.nih.gov/pubmed/29375767
http://dx.doi.org/10.1002/ece3.3692
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