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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00007813naa a2201033 4500
001oai:DiVA.org:lnu-111646
003SwePub
008220428s2022 | |||||||||||000 ||eng|
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-1116462 URI
0247 a https://doi.org/10.1111/1365-2664.141602 DOI
040 a (SwePub)lnu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Gauld, Jethro G.u Univ East Anglia, UK4 aut
2451 0a Hotspots in the grid :b Avian sensitivity and vulnerability to collision risk from energy infrastructure interactions in Europe and North Africa
264 c 2022-04-11
264 1b John Wiley & Sons,c 2022
338 a electronic2 rdacarrier
520 a Wind turbines and power lines can cause bird mortality due to collision or electrocution. The biodiversity impacts of energy infrastructure (EI) can be minimised through effective landscape-scale planning and mitigation. The identification of high-vulnerability areas is urgently needed to assess potential cumulative impacts of EI while supporting the transition to zero carbon energy. We collected GPS location data from 1,454 birds from 27 species susceptible to collision within Europe and North Africa and identified areas where tracked birds are most at risk of colliding with existing EI. Sensitivity to EI development was estimated for wind turbines and power lines by calculating the proportion of GPS flight locations at heights where birds were at risk of collision and accounting for species' specific susceptibility to collision. We mapped the maximum collision sensitivity value obtained across all species, in each 5 x 5 km grid cell, across Europe and North Africa. Vulnerability to collision was obtained by overlaying the sensitivity surfaces with density of wind turbines and transmission power lines. Results: Exposure to risk varied across the 27 species, with some species flying consistently at heights where they risk collision. For areas with sufficient tracking data within Europe and North Africa, 13.6% of the area was classified as high sensitivity to wind turbines and 9.4% was classified as high sensitivity to transmission power lines. Sensitive areas were concentrated within important migratory corridors and along coastlines. Hotspots of vulnerability to collision with wind turbines and transmission power lines (2018 data) were scattered across the study region with highest concentrations occurring in central Europe, near the strait of Gibraltar and the Bosporus in Turkey. Synthesis and applications. We identify the areas of Europe and North Africa that are most sensitive for the specific populations of birds for which sufficient GPS tracking data at high spatial resolution were available. We also map vulnerability hotspots where mitigation at existing EI should be prioritised to reduce collision risks. As tracking data availability improves our method could be applied to more species and areas to help reduce bird-EI conflicts.
650 7a NATURVETENSKAPx Biologix Ekologi0 (SwePub)106112 hsv//swe
650 7a NATURAL SCIENCESx Biological Sciencesx Ecology0 (SwePub)106112 hsv//eng
653 a animal movement
653 a bird conservation
653 a collision risk
653 a environmental impact assessment
653 a GPS
653 a renewable energy
653 a spatial planning
653 a telemetry
653 a Ecology
653 a Ekologi
7001 a Silva, Joao P.u Univ Porto, Portugal;Univ Lisbon, Portugal4 aut
7001 a Atkinson, Philip W.u British Trust Ornithol, UK4 aut
7001 a Record, Paulu Heriot Watt Univ, UK4 aut
7001 a Acacio, Martau Univ East Anglia, UK4 aut
7001 a Arkumarev, Volenu Bulgarian Soc Protect Birds, Bulgaria4 aut
7001 a Blas, Juliou Estn Biol Doliana, Spain4 aut
7001 a Bouten, Willemu Univ Amsterdam, Netherlands4 aut
7001 a Burton, Niallu British Trust Ornithol, UK4 aut
7001 a Catry, Inesu Univ Porto, Portugal;Univ Lisbon, Portugal4 aut
7001 a Champagnon, Jocelynu Tour Valat Res Inst Conservat Mediterranean Wetla, France4 aut
7001 a Clewley, Gary D.u Stirling Univ Innovat Pk, UK4 aut
7001 a Dagys, Mindaugasu Nat Res Ctr, Lithuania4 aut
7001 a Duriez, Olivieru CNRS, France4 aut
7001 a Exo, Klaus-Michaelu Vogelwarte, Germany4 aut
7001 a Fiedler, Wolfgangu Max Planck Inst Anim Behav, Germany4 aut
7001 a Flack, Andreau Max Planck Inst Anim Behav, Germany;Univ Konstanz, Germany4 aut
7001 a Friedemann, Guiladu Tel Aviv Univ, Israel4 aut
7001 a Fritz, Johannesu Waldrappteam Conservat & Res, Austria4 aut
7001 a Garcia-Ripolles, Clarau Environm Sci & Solut SL, Spain4 aut
7001 a Garthe, Stefanu Univ Kiel, Germany4 aut
7001 a Giunchi, Dimitriu Univ Pisa, Italy4 aut
7001 a Grozdanov, Atanasu Sofia Univ St Kliment Ohridski, Bulgaria;Fund Wild Flora & Fauna, Bulgaria4 aut
7001 a Harel, Roiu Hebrew Univ Jerusalem, Israel4 aut
7001 a Humphreys, Elizabeth M.u Stirling Univ Innovat Pk, UK4 aut
7001 a Janssen, Reneu Bionet Natuuronderzoek, Netherlands4 aut
7001 a Koelzsch, Andreau Max Planck Inst Anim Behav, Germany4 aut
7001 a Kulikova, Olgau FEB RAS, Russia4 aut
7001 a Lameris, Thomas K.u Inst Ecol NIOO KNAW, Netherlands4 aut
7001 a Lopez-Lopez, Pascualu Univ Valencia, Spain4 aut
7001 a Masden, Elizabeth A.u Univ Highlands & Isl, UK4 aut
7001 a Monti, Flaviou Univ Siena, Italy4 aut
7001 a Nathan, Ranu Hebrew Univ Jerusalem, Israel4 aut
7001 a Nikolov, Stoyanu Bulgarian Soc Protect Birds, Bulgaria4 aut
7001 a Oppel, Steffenu Royal Soc Protect Birds, UK4 aut
7001 a Peshev, Hristou Fund Wild Flora & Fauna, Bulgaria;South West Univ NeofiT Rilski, Bulgaria4 aut
7001 a Phipps, Louisu Vulture Conservat Fdn, Switzerland4 aut
7001 a Pokrovsky, Ivanu Max Planck Inst Anim Behav, Germany;FEB RAS, Russia;UB RAS, Russia4 aut
7001 a Ross-Smith, Viola H.u British Trust Ornithol, UK4 aut
7001 a Saravia, Victoriau Hellen Ornithol Soc BirdLife Greece, Greece4 aut
7001 a Scragg, Emily S.u British Trust Ornithol, UK4 aut
7001 a Sforzi, Andreau Maremma Nat Hist Museum, Italy4 aut
7001 a Stoynov, Emilianu Fund Wild Flora & Fauna, Bulgaria4 aut
7001 a Thaxter, Chrisu British Trust Ornithol, UK4 aut
7001 a Van Steelant, Wouteru Univ Amsterdam, Netherlands4 aut
7001 a van Toor, Mariëlle L.u Linnéuniversitetet,Institutionen för biologi och miljö (BOM),Ctr Ecol & Evolut Microbial Model Syst EEMiS4 aut0 (Swepub:lnu)mavaaa
7001 a Vorneweg, Berndu Max Planck Inst Anim Behav, Germany4 aut
7001 a Waldenström, Jonas,d 1975-u Linnéuniversitetet,Institutionen för biologi och miljö (BOM),Vatten,Ctr Ecol & Evolut Microbial Model Syst EEMiS4 aut0 (Swepub:lnu)ewajo
7001 a Wikelski, Martinu Max Planck Inst Anim Behav, Germany4 aut
7001 a Zydelis, Ramunasu DHI, Denmark4 aut
7001 a Franco, Aldina M. A.u Univ East Anglia, UK4 aut
7102 a Univ East Anglia, UKb Univ Porto, Portugal;Univ Lisbon, Portugal4 org
7730 t Journal of Applied Ecologyd : John Wiley & Sonsg 59:6, s. 1496-1512q 59:6<1496-1512x 0021-8901x 1365-2664
8564 u https://doi.org/10.1111/1365-2664.14160y Fulltext
8564 u https://lnu.diva-portal.org/smash/get/diva2:1654795/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-111646
8564 8u https://doi.org/10.1111/1365-2664.14160

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