Literature DB >> 19299065

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

Mark Desholm1.   

Abstract

Wind power generation is likely to constitute one of the most extensive human physical exploitation activities of European marine areas in the near future. The many millions of migrating birds that pass these man-made obstacles are protected by international obligations and the subject of public concerns. Yet some bird species are more sensitive to bird-wind turbine mortality than others. This study developed a simple and logical framework for ranking bird species with regard to their relative sensitivity to bird-wind turbine-collisions, and applied it to a data set comprising 38 avian migrant species at the Nysted offshore wind farm in Denmark. Two indicators were selected to characterize the sensitivity of each individual species: 1) relative abundance and 2) demographic sensitivity (elasticity of population growth rate to changes in adult survival). In the case-study from the Nysted offshore wind farm, birds of prey and waterbirds dominated the group of high priority species and only passerines showed a low risk of being impacted by the wind farm. Even where passerines might be present in very high numbers, they often represent insignificant segments of huge reference populations that, from a demographic point of view, are relatively insensitive to wind farm-related adult mortality. It will always be important to focus attention and direct the resources towards the most sensitive species to ensure cost-effective environmental assessments in the future, and in general, this novel index seems capable of identifying the species that are at high risk of being adversely affected by wind farms.

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Year:  2009        PMID: 19299065     DOI: 10.1016/j.jenvman.2009.02.005

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  8 in total

1.  Minimizing collision risk between migrating raptors and marine wind farms: development of a spatial planning tool.

Authors:  Anette Jaegerfeldt Baisner; Jonas Lembcke Andersen; Anders Findsen; Simon Wilhelm Yde Granath; Karin Olgaard Madsen; Mark Desholm
Journal:  Environ Manage       Date:  2010-08-15       Impact factor: 3.266

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

3.  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

4.  Assessing the effect of wind farms in fauna with a mathematical model.

Authors:  Pablo Refoyo Román; Cristina Olmedo Salinas; Benito Muñoz Araújo
Journal:  Sci Rep       Date:  2020-09-08       Impact factor: 4.379

Review 5.  The externalities of energy production in the context of development of clean energy generation.

Authors:  Andrzej Bielecki; Sebastian Ernst; Wioletta Skrodzka; Igor Wojnicki
Journal:  Environ Sci Pollut Res Int       Date:  2020-02-27       Impact factor: 4.223

6.  Seabird meta-Population Viability Model (mPVA) methods.

Authors:  M Tim Tinker; Kelly M Zilliacus; Diana Ruiz; Bernie R Tershy; Donald A Croll
Journal:  MethodsX       Date:  2021-12-09

7.  Wind and wildlife in the Northern Great Plains: identifying low-impact areas for wind development.

Authors:  Joseph Fargione; Joseph Kiesecker; M Jan Slaats; Sarah Olimb
Journal:  PLoS One       Date:  2012-07-25       Impact factor: 3.240

8.  Modeling the distribution of migratory bird stopovers to inform landscape-scale siting of wind development.

Authors:  Amy Pocewicz; Wendy A Estes-Zumpf; Mark D Andersen; Holly E Copeland; Douglas A Keinath; Hannah R Griscom
Journal:  PLoS One       Date:  2013-10-02       Impact factor: 3.240

  8 in total

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