Hierarchical mixture models and high-resolution monitoring data can inform siting and operational strategies to mitigate bat fatalities at wind turbines

Bats provide critical ecosystem services, but bat fatalities due to wind energy development may imperil some bat populations. Statistical models are used to estimate the total fatalities that occur based on carcasses observed during monitoring surveys. Current models often estimate fatalities aggregated across species, time, and/or turbines, but fall short of reliably informing siting and operational collision mitigation strategies that account for species-specific fatality patterns on a fine spatiotemporal scale. We developed a hierarchical mixture model for estimating species-specific covariate effects and total fatalities per species at each turbine on weekly intervals. We applied the model to a high-resolution dataset of bat carcasses found during turbine searches across nineteen wind facilities in Iowa over two years. Our model explains species-specific variation in bat fatalities at individual wind turbines according to turbine proximity to bat habitat, turbine design specifications, seasonal trends, and weather conditions such as nightly air temperature, air pressure, and wind speed. Turbines located on the edge of wind facilities had higher fatalities, and proximity to roosting and foraging habitat accounted for variation in species-specific fatality estimates. These insights into turbine placement effects can inform siting strategies. We also discovered species-specific relationships with average nightly wind speed and air temperature, among other weather conditions, that could inform operational mitigation strategies such as smart curtailment. Our model can transform observations of carcasses found during turbine searches across multiple facilities, years, and variable search efforts into estimates of total fatalities per species associated with species-specific spatial, temporal, and environmental covariate effects. • Bat carcasses found during monitoring at wind facilities can inform mitigation. • Hierarchical models reveal species-specific fatality patterns over space and time. • Turbine design, turbine distance to bat habitats, and weather affect fatalities. • Weather covariates can inform operational mitigation strategies, e.g. curtailment. • Turbine distances to bat habitats can inform siting strategies to avoid fatalities.

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Publication Details

Journal
Ecological Informatics
Published
2026-02-13
DOI
https://doi.org/10.1016/j.ecoinf.2026.103652
Primary Topic
Bat Biology and Ecology Studies
Type
article
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article

Hierarchical mixture models and high-resolution monitoring data can inform siting and operational strategies to mitigate bat fatalities at wind turbines

Bethany Straw, Bradley J. Udell, Wayne E. Thogmartin, Teresa Bohner et al.
Ecological Informatics
Bat Biology and Ecology Studies
article

Hierarchical mixture models and high-resolution monitoring data can inform siting and operational strategies to mitigate bat fatalities at wind turbines

Bethany Straw, Bradley J. Udell, Wayne E. Thogmartin, Teresa Bohner, Charles Labuzzetta, Ashton Wiens, Amber J. Andress, Jay Diffendorfer, Arnold Johnsen, Megan Seymour, Alejandro Grajal-Puche
article en

Abstract

Bats provide critical ecosystem services, but bat fatalities due to wind energy development may imperil some bat populations. Statistical models are used to estimate the total fatalities that occur based on carcasses observed during monitoring surveys. Current models often estimate fatalities aggregated across species, time, and/or turbines, but fall short of reliably informing siting and operational collision mitigation strategies that account for species-specific fatality patterns on a fine spatiotemporal scale. We developed a hierarchical mixture model for estimating species-specific covariate effects and total fatalities per species at each turbine on weekly intervals. We applied the model to a high-resolution dataset of bat carcasses found during turbine searches across nineteen wind facilities in Iowa over two years. Our model explains species-specific variation in bat fatalities at individual wind turbines according to turbine proximity to bat habitat, turbine design specifications, seasonal trends, and weather conditions such as nightly air temperature, air pressure, and wind speed. Turbines located on the edge of wind facilities had higher fatalities, and proximity to roosting and foraging habitat accounted for variation in species-specific fatality estimates. These insights into turbine placement effects can inform siting strategies. We also discovered species-specific relationships with average nightly wind speed and air temperature, among other weather conditions, that could inform operational mitigation strategies such as smart curtailment. Our model can transform observations of carcasses found during turbine searches across multiple facilities, years, and variable search efforts into estimates of total fatalities per species associated with species-specific spatial, temporal, and environmental covariate effects. • Bat carcasses found during monitoring at wind facilities can inform mitigation. • Hierarchical models reveal species-specific fatality patterns over space and time. • Turbine design, turbine distance to bat habitats, and weather affect fatalities. • Weather covariates can inform operational mitigation strategies, e.g. curtailment. • Turbine distances to bat habitats can inform siting strategies to avoid fatalities.

Ecological InformaticsVol. 94
United States Geological Survey (US), United States Fish and Wildlife Service (US), Denver Federal Center (US), Upper Midwest Environmental Sciences Center
Affordable and clean energy
Openalex Percentile: Top 68%
Bat Biology and Ecology Studies
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