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      Paint it black: Efficacy of increased wind turbine rotor blade visibility to reduce avian fatalities

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          Abstract

          As wind energy deployment increases and larger wind‐power plants are considered, bird fatalities through collision with moving turbine rotor blades are expected to increase. However, few (cost‐) effective deterrent or mitigation measures have so far been developed to reduce the risk of collision. Provision of “passive” visual cues may enhance the visibility of the rotor blades enabling birds to take evasive action in due time. Laboratory experiments have indicated that painting one of three rotor blades black minimizes motion smear (Hodos 2003, Minimization of motion smear: Reducing avian collisions with wind turbines). We tested the hypothesis that painting would increase the visibility of the blades, and that this would reduce fatality rates in situ, at the Smøla wind‐power plant in Norway, using a Before–After–Control–Impact approach employing fatality searches. The annual fatality rate was significantly reduced at the turbines with a painted blade by over 70%, relative to the neighboring control (i.e., unpainted) turbines. The treatment had the largest effect on reduction of raptor fatalities; no white‐tailed eagle carcasses were recorded after painting. Applying contrast painting to the rotor blades significantly reduced the collision risk for a range of birds. Painting the rotor blades at operational turbines was, however, resource demanding given that they had to be painted while in‐place. However, if implemented before construction, this cost will be minimized. It is recommended to repeat this experiment at other sites to ensure that the outcomes are generic at various settings.

          Abstract

          Conflicts with birdlife hamper the development of wind energy worldwide. Mitigation measures that reduce the risk of collision by making the rotor blades more conspicuous therefore need to be thoroughly tested. Using a Before–After–Control–Impact approach employing long‐term fatality searches, the annual number of bird carcasses per turbine was significantly reduced at the turbines with a painted blade by over 70%, relative to the neighboring control (i.e., unpainted) turbines.

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          Using observation-level random effects to model overdispersion in count data in ecology and evolution

          Overdispersion is common in models of count data in ecology and evolutionary biology, and can occur due to missing covariates, non-independent (aggregated) data, or an excess frequency of zeroes (zero-inflation). Accounting for overdispersion in such models is vital, as failing to do so can lead to biased parameter estimates, and false conclusions regarding hypotheses of interest. Observation-level random effects (OLRE), where each data point receives a unique level of a random effect that models the extra-Poisson variation present in the data, are commonly employed to cope with overdispersion in count data. However studies investigating the efficacy of observation-level random effects as a means to deal with overdispersion are scarce. Here I use simulations to show that in cases where overdispersion is caused by random extra-Poisson noise, or aggregation in the count data, observation-level random effects yield more accurate parameter estimates compared to when overdispersion is simply ignored. Conversely, OLRE fail to reduce bias in zero-inflated data, and in some cases increase bias at high levels of overdispersion. There was a positive relationship between the magnitude of overdispersion and the degree of bias in parameter estimates. Critically, the simulations reveal that failing to account for overdispersion in mixed models can erroneously inflate measures of explained variance (r 2), which may lead to researchers overestimating the predictive power of variables of interest. This work suggests use of observation-level random effects provides a simple and robust means to account for overdispersion in count data, but also that their ability to minimise bias is not uniform across all types of overdispersion and must be applied judiciously.
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            Global potential for wind-generated electricity

            The potential of wind power as a global source of electricity is assessed by using winds derived through assimilation of data from a variety of meteorological sources. The analysis indicates that a network of land-based 2.5-megawatt (MW) turbines restricted to nonforested, ice-free, nonurban areas operating at as little as 20% of their rated capacity could supply >40 times current worldwide consumption of electricity, >5 times total global use of energy in all forms. Resources in the contiguous United States, specifically in the central plain states, could accommodate as much as 16 times total current demand for electricity in the United States. Estimates are given also for quantities of electricity that could be obtained by using a network of 3.6-MW turbines deployed in ocean waters with depths <200 m within 50 nautical miles (92.6 km) of closest coastlines.
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              Understanding bird collisions at wind farms: An updated review on the causes and possible mitigation strategies

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                Author and article information

                Contributors
                roel.may@nina.no
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                26 July 2020
                August 2020
                : 10
                : 16 ( doiID: 10.1002/ece3.v10.16 )
                : 8927-8935
                Affiliations
                [ 1 ] Norwegian Institute for Nature Research Norway
                [ 2 ] Lake Ånnsjön Bird Observatory Duved Sweden
                Author notes
                [*] [* ] Correspondence

                Roel May, Norwegian Institute for Nature Research, P.O. Box 5685 Torgarden, 7485 Trondheim, Norway.

                Email: roel.may@ 123456nina.no

                Author information
                https://orcid.org/0000-0002-6580-4064
                https://orcid.org/0000-0001-5589-6738
                Article
                ECE36592
                10.1002/ece3.6592
                7452767
                32884668
                f0c5b266-3dc5-41f5-a9c3-5f90c1e3a58f
                © 2020 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 19 February 2020
                : 15 June 2020
                : 26 June 2020
                Page count
                Figures: 4, Tables: 2, Pages: 9, Words: 7220
                Funding
                Funded by: Norges Forskningsråd , open-funder-registry 10.13039/501100005416;
                Award ID: 226241
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                August 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.8.8 mode:remove_FC converted:27.08.2020

                Evolutionary Biology
                collision fatalities,contrast painting,mitigation measures,motion smear,smøla wind‐power plant

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