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      Detection and validation of common noctule bats ( Nyctalus noctula) with a pulse radar and acoustic monitoring in the proximity of an onshore wind turbine

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          Abstract

          This paper presents the results of bats detected with marine radar and their validation with acoustic detectors in the vicinity of a wind turbine with a hub height of 120 m. Bat detectors are widely used by researchers, even though the common acoustic detectors can cover only a relatively small volume. In contrast, radar technology can overcome this shortcoming by offering a large detection volume, fully covering the rotor-swept areas of modern wind turbines. Our study focused on the common noctule bats ( Nyctalus noctula). The measurement setup consisted of a portable X-band pulse radar with a modified radar antenna, a clutter shielding fence, and an acoustic bat detector installed in the wind turbine’s nacelle. The radar’s detection range was evaluated using an analytical simulation model. We developed a methodology based on a strict set of criteria for selecting suitable radar data, acoustic data and identified bat tracks. By applying this methodology, the study data was limited to time intervals with an average duration of 48 s, which is equal to approximately 20 radar images. For these time intervals, 323 bat tracks were identified. The most common bat speed was extracted to be between 9 and 10 m/s, matching the values found in the literature. Of the 323 identified bat tracks passed within 80 m of the acoustic detector, 32% had the potential to be associated with bat calls due to their timing, directionality, and distance to the acoustic bat detector. The remaining 68% passed within the studied radar detection volume but out of the detection volume of the acoustic bat detector. A comparison of recorded radar echoes with the expected simulated values indicated that the in-flight radar cross-section of recorded common noctule bats was mostly between 1.0 and 5.0 cm 2, which is consistent with the values found in the literature for similar sized wildlife.

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          Recognition of Species of Insectivorous Bats by Their Echolocation Calls

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            Identification of twenty-two bat species (Mammalia: Chiroptera) from Italy by analysis of time-expanded recordings of echolocation calls

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              Temporal Variation in Activity of Bats and the Design of Echolocation-Monitoring Studies

              J P Hayes (1997)
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: SoftwareRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: Software
                Role: Formal analysis
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: ResourcesRole: Writing – review & editing
                Role: ConceptualizationRole: Supervision
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                12 June 2024
                2024
                : 19
                : 6
                : e0299153
                Affiliations
                [1 ] Competence Center for Renewable Energies and Energy Efficiency (CC4E), Hamburg University of Applied Sciences, Hamburg, Germany
                [2 ] Department of Environmental Technology, Faculty of Life Sciences, Hamburg University of Applied Sciences, Hamburg, Germany
                [3 ] Büro für Umweltkartierung—Informationsverarbeitung—Naturbewertung (U-I-N), Pinneberg, Germany
                [4 ] Institute of Environmental Planning, Leibniz University Hannover, Hannover, Germany
                [5 ] Department of Process Engineering, Faculty of Life Sciences, Hamburg University of Applied Sciences, Hamburg, Germany
                National Institute of Technology Srinagar, INDIA
                Author notes

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

                Author information
                https://orcid.org/0000-0002-0255-6817
                Article
                PONE-D-23-28595
                10.1371/journal.pone.0299153
                11168679
                38865295
                92ceeb09-cfc2-4346-8316-9d2b68829323
                © 2024 Krapivnitckaia 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
                : 4 September 2023
                : 6 February 2024
                Page count
                Figures: 14, Tables: 0, Pages: 26
                Funding
                Funded by: German Federal Ministry of Education and Research
                Award ID: 13FH1E03IA
                This study is part of the project "FLEDERWIND", which is funded by the German Federal Ministry of Education and Research (funding code 13FH1E03IA). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Engineering and Technology
                Remote Sensing
                Radar
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Vertebrates
                Amniotes
                Mammals
                Bats
                Biology and Life Sciences
                Zoology
                Animals
                Vertebrates
                Amniotes
                Mammals
                Bats
                Physical Sciences
                Physics
                Acoustics
                Engineering and Technology
                Equipment
                Communication Equipment
                Antennas
                Engineering and Technology
                Energy and Power
                Alternative Energy
                Wind Power
                Physical Sciences
                Physics
                Acoustics
                Echoes
                Physical Sciences
                Physics
                Acoustics
                Acoustic Signals
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Vertebrates
                Amniotes
                Birds
                Biology and Life Sciences
                Zoology
                Animals
                Vertebrates
                Amniotes
                Birds
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files. Additionally, raw data files are available from the Zenodo repository (accession numbers https://zenodo.org/doi/10.5281/zenodo.10463822, and https://zenodo.org/doi/10.5281/zenodo.10463820).

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                Uncategorized

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