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

Oloo, Francis; Safi, Kamran; Aryal, Jagannath

doi:10.3390/su10051470

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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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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-433D-0 Version Permalink: https://hdl.handle.net/21.11116/0000-0002-DBE6-4

Genre: Journal Article

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Creators:
Oloo, Francis, Author
Safi, Kamran¹, Author
Aryal, Jagannath, Author

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1Abteilung Wikelski, Radolfzell, Max Planck Institut für Ornithologie, Max Planck Society, ou_2149685

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Dates: Date issued: 2018-05-08

Publication Status: Issued

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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