2013
DOI: 10.1007/s10531-013-0515-3
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Regional-scale modelling of the cumulative impact of wind farms on bats

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Cited by 44 publications
(32 citation statements)
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“…Species distribution models developed in Italy suggest that 41 % of the region offers suitable foraging habitat for 2 species of bats vulnerable to wind turbines, Leisler's bat and the common pipistrelle, and these same areas encompass over 50 % of existing or planned wind farms (Roscioni et al 2013). The authors believe fatality risk for these species is increased by the common proximity to forest edges, but this contradicts other findings from southern Europe, suggesting the opposite relationship (Dubourg-Savage et al 2011).…”
Section: Estimating Riskmentioning
confidence: 99%
“…Species distribution models developed in Italy suggest that 41 % of the region offers suitable foraging habitat for 2 species of bats vulnerable to wind turbines, Leisler's bat and the common pipistrelle, and these same areas encompass over 50 % of existing or planned wind farms (Roscioni et al 2013). The authors believe fatality risk for these species is increased by the common proximity to forest edges, but this contradicts other findings from southern Europe, suggesting the opposite relationship (Dubourg-Savage et al 2011).…”
Section: Estimating Riskmentioning
confidence: 99%
“…Although in recent years, applications of species distribution models included complex statistical algorithms ROSCIONI et al 2013) and ensemble forecasting approaches (BEAUMONT et al 2009;MAIORANO et al 2011), the majority of them performed analyses on datasets of adequate sample size (FICETOLA et al 2007;PARKER-ALLIE et al 2009;O'DONNEL et al 2012), even at regional scales (ROSCIONI et al 2013). In some cases, species with less than 20 occurrences were explicitly discarded from the analysis (ARAÚJO et al 2011).…”
Section: Resultsmentioning
confidence: 99%
“…For species where it is not possible to construct high-effort, high-input models, probably the first and most important question to ask would be, “what is the overlap between the species range and wind turbines?” As an example of such an assessment, Santos et al (2013) applied spatial distribution modeling to examine four species of bats and what factors affected the probability of mortality occurring at a given wind energy production facility. Similarly, work by Roscioni et al (2013) modeled the regional effects of wind farms on bats, and Roscioni et al (2014) modeled the effects of wind farms on bat migration and population connectivity. As part of the spatial overlap question, it is also important to not only consider the “where,” but also the “when.” Obviously, a species with no overlap is not directly at risk, but might be if wind energy generation adversely affects an important competitor or prey species.…”
Section: Discussionmentioning
confidence: 99%