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231225s2021 xx |||||o 00| ||eng c |
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|a 10.1111/cobi.13554
|2 doi
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|a pubmed24n1358.xml
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|a (DE-627)NLM310074908
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|a (NLM)32424911
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|a DE-627
|b ger
|c DE-627
|e rakwb
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| 041 |
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|a eng
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| 100 |
1 |
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|a Davy, Christina M
|e verfasserin
|4 aut
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| 245 |
1 |
0 |
|a Estimation of spatiotemporal trends in bat abundance from mortality data collected at wind turbines
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| 264 |
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1 |
|c 2021
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| 336 |
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|a Text
|b txt
|2 rdacontent
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| 337 |
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Completed 26.04.2021
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| 500 |
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|a Date Revised 31.03.2024
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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| 520 |
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|a © 2020 The Authors. Conservation Biology published by Wiley Periodicals LLC on behalf of Society for Conservation Biology.
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| 520 |
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|a Renewable energy sources, such as wind energy, are essential tools for reducing the causes of climate change, but wind turbines can pose a collision risk for bats. To date, the population-level effects of wind-related mortality have been estimated for only 1 bat species. To estimate temporal trends in bat abundance, we considered wind turbines as opportunistic sampling tools for flying bats (analogous to fishing nets), where catch per unit effort (carcass abundance per monitored turbine) is a proxy for aerial abundance of bats, after accounting for seasonal variation in activity. We used a large, standardized data set of records of bat carcasses from 594 turbines in southern Ontario, Canada, and corrected these data to account for surveyor efficiency and scavenger removal. We used Bayesian hierarchical models to estimate temporal trends in aerial abundance of bats and to explore the effect of spatial factors, including landscape features associated with bat habitat (e.g., wetlands, croplands, and forested lands), on the number of mortalities for each species. The models showed a rapid decline in the abundance of 4 species in our study area; declines in capture of carcasses over 7 years ranged from 65% (big brown bat [Eptesicus fuscus]) to 91% (silver-haired bat [Lasionycteris noctivagans]). Estimated declines were independent of the effects of mitigation (increasing wind speed at which turbines begin to generate electricity from 3.5 to 5.5 m/s), which significantly reduced but did not eliminate bat mortality. Late-summer mortality of hoary (Lasiurus cinereus), eastern red (Lasiurus borealis), and silver-haired bats was predicted by woodlot cover, and mortality of big brown bats decreased with increasing elevation. These landscape predictors of bat mortality can inform the siting of future wind energy operations. Our most important result is the apparent decline in abundance of four common species of bat in the airspace, which requires further investigation
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| 650 |
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4 |
|a Journal Article
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| 650 |
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4 |
|a Bayesian hierarchical models population trends
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| 650 |
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4 |
|a aeroconservación
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| 650 |
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4 |
|a aeroconservation
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| 650 |
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4 |
|a aeroecology
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| 650 |
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4 |
|a aeroecología
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| 650 |
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4 |
|a bat mortality
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| 650 |
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4 |
|a energía eólica
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| 650 |
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4 |
|a energía renovable
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| 650 |
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4 |
|a modelos de jerarquía bayesiana
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| 650 |
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4 |
|a mortalidad en murciélagos
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| 650 |
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4 |
|a renewable energy
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| 650 |
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4 |
|a tendencias poblacionales
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| 650 |
|
4 |
|a wind energy
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| 650 |
|
4 |
|a 可再生能源、
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| 650 |
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4 |
|a 种群趋势、
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| 650 |
|
4 |
|a 航空保护、
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| 650 |
|
4 |
|a 航空生态、
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| 650 |
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4 |
|a 蝙蝠死亡量、
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| 650 |
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4 |
|a 贝叶斯层次模型、
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| 650 |
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4 |
|a 风能
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| 700 |
1 |
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|a Squires, Kelly
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Zimmerling, J Ryan
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t Conservation biology : the journal of the Society for Conservation Biology
|d 1999
|g 35(2021), 1 vom: 15. Feb., Seite 227-238
|w (DE-627)NLM098176803
|x 1523-1739
|7 nnns
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| 773 |
1 |
8 |
|g volume:35
|g year:2021
|g number:1
|g day:15
|g month:02
|g pages:227-238
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1111/cobi.13554
|3 Volltext
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|a AR
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|d 35
|j 2021
|e 1
|b 15
|c 02
|h 227-238
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