Proximity to wind turbines altered plant–pollinator dynamics in prairie and sagebrush ecosystems in Wyoming, USA

Wind turbines influence several abiotic conditions in the environments they are sited in and may influence the behavior and movement of insect pollinators. It is unknown how operating turbines influence plant–pollinator interactions. To investigate if pollination dynamics could be affected by the presence of wind turbines, we recorded videos of pollinating insects visiting flowers on blooming, native plants within a wind energy facility, and at five sites located 4–28 km from operating turbines. We calculated the length of interactions between insect pollinators and flowers, and identified individual behaviors exhibited by visiting insects. Insects interacted with flowers for longer periods of time when closer to wind turbines. As distance to turbine increased, the probability that pollinating insects would crawl into blooms or drink nectar decreased, while the probability that they would rest on plants increased. These behaviors also varied with changes in wind speed, air temperature, and the number of flowers on plants. Our study is one of the first to offer evidence that plant–pollinator interactions could be altered by turbines or abiotic changes caused by turbines. This topic merits further investigation to help land managers and conservation organizations make informed decisions about future turbine siting, restoration, and conservation efforts.

Authors

Institutions

Publication Details

Journal
Nordic Journal of Botany
Published
2026-08-17
DOI
https://doi.org/10.1002/njb.04996
Primary Topic
Rangeland and Wildlife Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Proximity to wind turbines altered plant–pollinator dynamics in prairie and sagebrush ecosystems in Wyoming, USA

Michelle Weschler, Lusha M. Tronstad, Brenna Martin
Nordic Journal of Botany
Rangeland and Wildlife Management
article

Proximity to wind turbines altered plant–pollinator dynamics in prairie and sagebrush ecosystems in Wyoming, USA

Michelle Weschler, Lusha M. Tronstad, Brenna Martin
article en

Abstract

Wind turbines influence several abiotic conditions in the environments they are sited in and may influence the behavior and movement of insect pollinators. It is unknown how operating turbines influence plant–pollinator interactions. To investigate if pollination dynamics could be affected by the presence of wind turbines, we recorded videos of pollinating insects visiting flowers on blooming, native plants within a wind energy facility, and at five sites located 4–28 km from operating turbines. We calculated the length of interactions between insect pollinators and flowers, and identified individual behaviors exhibited by visiting insects. Insects interacted with flowers for longer periods of time when closer to wind turbines. As distance to turbine increased, the probability that pollinating insects would crawl into blooms or drink nectar decreased, while the probability that they would rest on plants increased. These behaviors also varied with changes in wind speed, air temperature, and the number of flowers on plants. Our study is one of the first to offer evidence that plant–pollinator interactions could be altered by turbines or abiotic changes caused by turbines. This topic merits further investigation to help land managers and conservation organizations make informed decisions about future turbine siting, restoration, and conservation efforts.

Nordic Journal of Botany
University of Wyoming (US)
Openalex Percentile: Top 9%
Rangeland and Wildlife Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.