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  Predicting migratory corridors of white storks, Ciconia ciconia, to enhance sustainable wind energy planning: A data-driven agent-based model

Oloo, F., Safi, K., & Aryal, J. (2018). Predicting migratory corridors of white storks, Ciconia ciconia, to enhance sustainable wind energy planning: A data-driven agent-based model. Sustainability, 10(5): 1470. doi:10.3390/su10051470.

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Genre: Journal Article

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 Creators:
Oloo, Francis, Author
Safi, Kamran1, Author              
Aryal, Jagannath, Author
Affiliations:
1Abteilung Wikelski, Radolfzell, Max Planck Institut für Ornithologie, Max Planck Society, ou_2149685              

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 Dates: 2018-05-08
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.3390/su10051470
Other: Immediate Open Access
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Title: Sustainability
Source Genre: Journal
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Publ. Info: Basel, Switzerland : MDPI
Pages: - Volume / Issue: 10 (5) Sequence Number: 1470 Start / End Page: - Identifier: Other: 2071-1050
CoNE: https://pure.mpg.de/cone/journals/resource/2071-1050