Literature DB >> 28904135

Bird and bat species' global vulnerability to collision mortality at wind farms revealed through a trait-based assessment.

Chris B Thaxter1,2, Graeme M Buchanan3, Jamie Carr4, Stuart H M Butchart5,6, Tim Newbold7, Rhys E Green6,8, Joseph A Tobias9, Wendy B Foden10, Sue O'Brien11, James W Pearce-Higgins12,2,6.   

Abstract

Mitigation of anthropogenic climate change involves deployments of renewable energy worldwide, including wind farms, which can pose a significant collision risk to volant animals. Most studies into the collision risk between species and wind turbines, however, have taken place in industrialized countries. Potential effects for many locations and species therefore remain unclear. To redress this gap, we conducted a systematic literature review of recorded collisions between birds and bats and wind turbines within developed countries. We related collision rate to species-level traits and turbine characteristics to quantify the potential vulnerability of 9538 bird and 888 bat species globally. Avian collision rate was affected by migratory strategy, dispersal distance and habitat associations, and bat collision rates were influenced by dispersal distance. For birds and bats, larger turbine capacity (megawatts) increased collision rates; however, deploying a smaller number of large turbines with greater energy output reduced total collision risk per unit energy output, although bat mortality increased again with the largest turbines. Areas with high concentrations of vulnerable species were also identified, including migration corridors. Our results can therefore guide wind farm design and location to reduce the risk of large-scale animal mortality. This is the first quantitative global assessment of the relative collision vulnerability of species groups with wind turbines, providing valuable guidance for minimizing potentially serious negative impacts on biodiversity.
© 2017 The Author(s).

Keywords:  biodiversity; climate change; impact; meta-analysis; phylogeny; renewable energy

Mesh:

Year:  2017        PMID: 28904135      PMCID: PMC5597824          DOI: 10.1098/rspb.2017.0829

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  12 in total

1.  The effects of life history and sexual selection on male and female plumage colouration.

Authors:  James Dale; Cody J Dey; Kaspar Delhey; Bart Kempenaers; Mihai Valcu
Journal:  Nature       Date:  2015-11-04       Impact factor: 49.962

2.  Using avian functional traits to assess the impact of land-cover change on ecosystem processes linked to resilience in tropical forests.

Authors:  Tom P Bregman; Alexander C Lees; Hannah E A MacGregor; Bianca Darski; Nárgila G de Moura; Alexandre Aleixo; Jos Barlow; Joseph A Tobias
Journal:  Proc Biol Sci       Date:  2016-12-14       Impact factor: 5.349

3.  The global diversity of birds in space and time.

Authors:  W Jetz; G H Thomas; J B Joy; K Hartmann; A O Mooers
Journal:  Nature       Date:  2012-10-31       Impact factor: 49.962

4.  Behavior of bats at wind turbines.

Authors:  Paul M Cryan; P Marcos Gorresen; Cris D Hein; Michael R Schirmacher; Robert H Diehl; Manuela M Huso; David T S Hayman; Paul D Fricker; Frank J Bonaccorso; Douglas H Johnson; Kevin Heist; David C Dalton
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-29       Impact factor: 11.205

Review 5.  Bird and bat species' global vulnerability to collision mortality at wind farms revealed through a trait-based assessment.

Authors:  Chris B Thaxter; Graeme M Buchanan; Jamie Carr; Stuart H M Butchart; Tim Newbold; Rhys E Green; Joseph A Tobias; Wendy B Foden; Sue O'Brien; James W Pearce-Higgins
Journal:  Proc Biol Sci       Date:  2017-09-13       Impact factor: 5.349

6.  Avian sensitivity to mortality: prioritising migratory bird species for assessment at proposed wind farms.

Authors:  Mark Desholm
Journal:  J Environ Manage       Date:  2009-03-19       Impact factor: 6.789

7.  APE: Analyses of Phylogenetics and Evolution in R language.

Authors:  Emmanuel Paradis; Julien Claude; Korbinian Strimmer
Journal:  Bioinformatics       Date:  2004-01-22       Impact factor: 6.937

8.  Prioritizing Avian Species for Their Risk of Population-Level Consequences from Wind Energy Development.

Authors:  Julie A Beston; Jay E Diffendorfer; Scott R Loss; Douglas H Johnson
Journal:  PLoS One       Date:  2016-03-10       Impact factor: 3.240

9.  A comprehensive analysis of small-passerine fatalities from collision with turbines at wind energy facilities.

Authors:  Wallace P Erickson; Melissa M Wolfe; Kimberly J Bay; Douglas H Johnson; Joelle L Gehring
Journal:  PLoS One       Date:  2014-09-15       Impact factor: 3.240

10.  Establishing macroecological trait datasets: digitalization, extrapolation, and validation of diet preferences in terrestrial mammals worldwide.

Authors:  Wilm Daniel Kissling; Lars Dalby; Camilla Fløjgaard; Jonathan Lenoir; Brody Sandel; Christopher Sandom; Kristian Trøjelsgaard; Jens-Christian Svenning
Journal:  Ecol Evol       Date:  2014-06-16       Impact factor: 2.912

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  15 in total

1.  Integrating behaviour and ecology into global biodiversity conservation strategies.

Authors:  Joseph A Tobias; Alex L Pigot
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-07-29       Impact factor: 6.237

Review 2.  Bird and bat species' global vulnerability to collision mortality at wind farms revealed through a trait-based assessment.

Authors:  Chris B Thaxter; Graeme M Buchanan; Jamie Carr; Stuart H M Butchart; Tim Newbold; Rhys E Green; Joseph A Tobias; Wendy B Foden; Sue O'Brien; James W Pearce-Higgins
Journal:  Proc Biol Sci       Date:  2017-09-13       Impact factor: 5.349

Review 3.  A review of the effectiveness of operational curtailment for reducing bat fatalities at terrestrial wind farms in North America.

Authors:  Evan M Adams; Julia Gulka; Kathryn A Williams
Journal:  PLoS One       Date:  2021-11-17       Impact factor: 3.240

4.  Estimation of spatiotemporal trends in bat abundance from mortality data collected at wind turbines.

Authors:  Christina M Davy; Kelly Squires; J Ryan Zimmerling
Journal:  Conserv Biol       Date:  2020-07-03       Impact factor: 6.560

5.  Responses of birds and mammals to long-established wind farms in India.

Authors:  Honnavalli N Kumara; S Babu; G Babu Rao; Santanu Mahato; Malyasri Bhattacharya; Nitin Venkatesh Ranga Rao; D Tamiliniyan; Harif Parengal; D Deepak; Athira Balakrishnan; Mahesh Bilaskar
Journal:  Sci Rep       Date:  2022-01-25       Impact factor: 4.379

6.  Population viability assessment of an endangered raptor using detection/non-detection data reveals susceptibility to anthropogenic impacts.

Authors:  Francisco Cervantes; Marlei Martins; Robert E Simmons
Journal:  R Soc Open Sci       Date:  2022-02-23       Impact factor: 2.963

7.  A predictive flight-altitude model for avoiding future conflicts between an emblematic raptor and wind energy development in the Swiss Alps.

Authors:  Sergio Vignali; Franziska Lörcher; Daniel Hegglin; Raphaël Arlettaz; Veronika Braunisch
Journal:  R Soc Open Sci       Date:  2022-02-09       Impact factor: 2.963

8.  No evidence of increased fecal glucocorticoid metabolite levels in capercaillie (Tetrao urogallus) due to wind turbines.

Authors:  Joy Coppes; Jim-Lino Kämmerle; Veronika Grünschachner-Berger; Rupert Palme; Ursula Nopp-Mayr
Journal:  Ecol Evol       Date:  2021-05-02       Impact factor: 2.912

Review 9.  Post-construction bird and bat fatality monitoring studies at wind energy projects in Latin America: A summary and review.

Authors:  M Sofía Agudelo; Todd J Mabee; Rosa Palmer; Ryan Anderson
Journal:  Heliyon       Date:  2021-06-05

10.  Out of sight of wind turbines-Reindeer response to wind farms in operation.

Authors:  Anna Skarin; Per Sandström; Moudud Alam
Journal:  Ecol Evol       Date:  2018-09-03       Impact factor: 2.912

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