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      Correction: Predicting strike susceptibility and collision patterns of the common buzzard at wind turbine structures in the federal state of Brandenburg, Germany

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          Abstract

          Figs 1 and 2 are incomplete. Please see the complete correct Figs 1 and 2 here. 10.1371/journal.pone.0238269.g001 Fig 1 (A) Spatial locations of functional wind turbines and the wind turbines with detected Buzzard collisions in the study region of Brandenburg, Germany. (B) Number of controls per the assessed wind turbines in the study region of Brandenburg, Germany. 10.1371/journal.pone.0238269.g002 Fig 2 Fitted functions produced by boosted regression trees of collision potentials for buzzards at wind turbine structures depicting the marginal effect of collision possibility (y-axes) by each DELV. Contribution of each DELV is given in brackets. Rug plots show distribution of the data across distances of DELV’s in meters and are used as a measure of confidence across the shapes of the fitted functions. Signs denoting (+) are distances outside the edge of the land use variables and (-) are distances inside the edge of the land use variables.

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          Predicting strike susceptibility and collision patterns of the common buzzard at wind turbine structures in the federal state of Brandenburg, Germany

          With the increase in wind turbines, bird collisions have developed as a potential hazard. In the federal state of Brandenburg, Germany, despite the on-going mitigation efforts of increasing the distances of wind turbines from the breeding areas of the more severely affected populations of red kites (Milvus milvus), the additional detrimental influences on the buzzard populations (Buteo buteo) have added to the challenges for wind power expansion. Using data on the regional distribution of the buzzards, along with their carcass detections around the wind turbines (WTs), we aimed to better understand their collision distribution patterns in relation to their habitat use patterns to predict their exposure to collision risk using boosted regression trees (BRTs). Additionally, we integrated the developed collision potential map with the regional density map of buzzards to identify areas of increased strike susceptibility in turbine installations. Our study showed that the buzzard collisions were primarily concentrated at the turbines situated at sensitive distances from the edges of watercourses (>1000 metres), as well as those along the edges of grasslands (>750 metres), in the green open areas around/areas with minimal settlements (750 metres-1750 metres), and along the edges of bushlands (>1500 metres), together explaining 58% of the variance in their collision distribution. Conclusively, our study is applicable to conservation because it demonstrates the identification of potential collision areas along with the causes of the collisions, in addition to demonstrating the benefits of incorporating a species collision dataset as a proxy for species presence into species distribution models to make informed management decisions to eventually combat biodiversity loss.
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            Author and article information

            Journal
            PLoS One
            PLoS ONE
            plos
            plosone
            PLoS ONE
            Public Library of Science (San Francisco, CA USA )
            1932-6203
            26 August 2020
            2020
            26 August 2020
            : 15
            : 8
            : e0238269
            Article
            PONE-D-20-25517
            10.1371/journal.pone.0238269
            7449473
            32845932
            a34737b5-3e4a-47eb-9c65-7d4e4d5795ee
            © 2020 Bose et al

            This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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