Literature DB >> 30273787

Considerations for upscaling individual effects of wind energy development towards population-level impacts on wildlife.

R May1, E A Masden2, F Bennet3, M Perron4.   

Abstract

The expansion of wind energy poses challenges to policy- and decision-makers to address conflicts with wildlife. Conflicts are associated with impacts of existing and planned projects on wildlife, and associated difficulties of prediction where impacts are subject to considerable uncertainty. Many post-construction studies have demonstrated adverse effects on individuals of various bird and bat species. These effects may come in the form of collision-induced mortality or behavioral or physiological changes reducing the fitness of individuals exposed to wind energy facilities. Upscaling these individual effects to population impacts provides information on the true value of interest from a conservation point of view. This paper identifies methodological issues associated when moving from individual effects to population impacts in the context of wind energy. Distinct methodological approaches to predict population impacts are described using published case studies. The various choices of study design and metrics available to detect significant changes at the population level are further assessed based on these. Ways to derive impact thresholds relevant for decision-making are discussed in detail. Robust monitoring schemes and sophisticated modelling techniques may inevitably be unable to describe the whole complexity of wind and wildlife interactions and the natural variability of animal populations. Still, they will provide an improved understanding of the response of wildlife to wind energy and better-informed policies to support risk-based decision-making. Policies that support the use of adaptive management will promote assessments at the population level. Providing information to adequately balance the development of wind energy with the persistence of wildlife populations.
Copyright © 2018. Published by Elsevier Ltd.

Entities:  

Keywords:  Conservation; Impact thresholds; Modelling; Population impacts; Theory; Wildlife management

Mesh:

Year:  2018        PMID: 30273787     DOI: 10.1016/j.jenvman.2018.09.062

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


  3 in total

1.  Effect of tower base painting on willow ptarmigan collision rates with wind turbines.

Authors:  Bård G Stokke; Torgeir Nygård; Ulla Falkdalen; Hans C Pedersen; Roel May
Journal:  Ecol Evol       Date:  2020-04-29       Impact factor: 2.912

2.  Influencing Activity of Bats by Dimly Lighting Wind Turbine Surfaces with Ultraviolet Light.

Authors:  Paul M Cryan; Paulo M Gorresen; Bethany R Straw; Syhoune Simon Thao; Elise DeGeorge
Journal:  Animals (Basel)       Date:  2021-12-21       Impact factor: 2.752

3.  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

  3 in total

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