Wind energy production in forests conflicts with tree-roosting bats

Curr Biol. 2023 Feb 27;33(4):737-743.e3. doi: 10.1016/j.cub.2022.12.050. Epub 2023 Jan 20.

Abstract

Many countries are investing heavily in wind power generation,1 triggering a high demand for suitable land. As a result, wind energy facilities are increasingly being installed in forests,2,3 despite the fact that forests are crucial for the protection of terrestrial biodiversity.4 This green-green dilemma is particularly evident for bats, as most species at risk of colliding with wind turbines roost in trees.2 With some of these species reported to be declining,5,6,7,8 we see an urgent need to understand how bats respond to wind turbines in forested areas, especially in Europe where all bat species are legally protected. We used miniaturized global positioning system (GPS) units to study how European common noctule bats (Nyctalus noctula), a species that is highly vulnerable at turbines,9 respond to wind turbines in forests. Data from 60 tagged common noctules yielded a total of 8,129 positions, of which 2.3% were recorded at distances <100 m from the nearest turbine. Bats were particularly active at turbines <500 m near roosts, which may require such turbines to be shut down more frequently at times of high bat activity to reduce collision risk. Beyond roosts, bats avoided turbines over several kilometers, supporting earlier findings on habitat loss for forest-associated bats.10 This habitat loss should be compensated by developing parts of the forest as refugia for bats. Our study highlights that it can be particularly challenging to generate wind energy in forested areas in an ecologically sustainable manner with minimal impact on forests and the wildlife that inhabit them.

Keywords: Nyctalus noctula; avoidance; bat-wind turbine interaction; green-green dilemma; resource selection function; tree roosts; wind energy-bat conflict.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Chiroptera*
  • Ecosystem
  • Forests
  • Renewable Energy
  • Trees*