Monitoring and Modeling Tree Bat (Genera: Lasiurus, Lasionycteris) Occurrence Using Acoustics on Structures off the Mid-Atlantic Coast—Implications for Offshore Wind Development

dc.contributor.authorTrue, Michael C.en
dc.contributor.authorReynolds, Richard J.en
dc.contributor.authorFord, W. Marken
dc.coverage.countryUnited Statesen
dc.coverage.stateVirginiaen
dc.date.accessioned2021-11-11T19:20:03Zen
dc.date.available2021-11-11T19:20:03Zen
dc.date.issued2021-11-04en
dc.date.updated2021-11-11T14:57:40Zen
dc.description.abstractIn eastern North America, “tree bats” (Genera: <i>Lasiurus</i> and <i>Lasionycteris</i>) are highly susceptible to collisions with wind energy turbines and are known to fly offshore during migration. This raises concern about ongoing expansion of offshore wind-energy development off the Atlantic Coast. Season, atmospheric conditions, and site-level characteristics such as local habitat (e.g., forest coverage) have been shown to influence wind turbine collision rates by bats onshore, and therefore may be related to risk offshore. Therefore, to assess the factors affecting coastal presence of bats, we continuously gathered tree bat occurrence data using stationary acoustic recorders on five structures (four lighthouses on barrier islands and one light tower offshore) off the coast of Virginia, USA, across all seasons, 2012–2019. We used generalized additive models to describe tree bat occurrence on a nightly basis. We found that sites either indicated maternity or migratory seasonal occurrence patterns associated with local roosting resources, i.e., presence of trees. Across all sites, nightly occurrence was negatively related to wind speed and positively related to temperature and visibility. Using predictive performance metrics, we concluded that our model was highly predictive for the Virginia coast. Our findings were consistent with other studies—tree bat occurrence probability and presumed mortality risk to offshore wind-energy collisions is highest on low wind speed nights, high temperature and visibility nights, and during spring and fall. The high predictive model performance we observed provides a basis for which managers, using a similar monitoring and modeling regime, could develop an effective curtailment-based mitigation strategy.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationTrue, M.C.; Reynolds, R.J.; Ford, W.M. Monitoring and Modeling Tree Bat (Genera: Lasiurus, Lasionycteris) Occurrence Using Acoustics on Structures off the Mid-Atlantic Coast—Implications for Offshore Wind Development. Animals 2021, 11, 3146.en
dc.identifier.doihttps://doi.org/10.3390/ani11113146en
dc.identifier.urihttp://hdl.handle.net/10919/106602en
dc.language.isoenen
dc.publisherMDPIen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjecttree batsen
dc.subjectLasiurusen
dc.subjectLasionycterisen
dc.subjectwind turbine collisionsen
dc.subjectoffshoreen
dc.subjectstatistical modelingen
dc.subjectmonitoringen
dc.subjectcurtailmenten
dc.subjectpredictionen
dc.titleMonitoring and Modeling Tree Bat (Genera: Lasiurus, Lasionycteris) Occurrence Using Acoustics on Structures off the Mid-Atlantic Coast—Implications for Offshore Wind Developmenten
dc.title.serialAnimalsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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