Modeling Arctic sea-ice algae: Physical drivers of spatial distribution and algae phenology
Published in: | Journal of Geophysical Research: Oceans |
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2017
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Online Access: | https://epic.awi.de/id/eprint/46204/ https://epic.awi.de/id/eprint/46204/1/Castellani_etal_2017.pdf https://doi.org/10.1002/2017JC012828 https://hdl.handle.net/10013/epic.93124b00-6253-4b77-95e6-a0e353435543 |
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ftawi:oai:epic.awi.de:46204 2024-09-15T17:51:33+00:00 Modeling Arctic sea-ice algae: Physical drivers of spatial distribution and algae phenology Castellani, Giulia Losch, Martin Lang, Benjamin A. Flores, Hauke 2017 application/pdf https://epic.awi.de/id/eprint/46204/ https://epic.awi.de/id/eprint/46204/1/Castellani_etal_2017.pdf https://doi.org/10.1002/2017JC012828 https://hdl.handle.net/10013/epic.93124b00-6253-4b77-95e6-a0e353435543 unknown https://epic.awi.de/id/eprint/46204/1/Castellani_etal_2017.pdf Castellani, G. orcid:0000-0001-6151-015X , Losch, M. orcid:0000-0002-3824-5244 , Lang, B. A. and Flores, H. orcid:0000-0003-1617-5449 (2017) Modeling Arctic sea-ice algae: Physical drivers of spatial distribution and algae phenology , Journal of Geophysical Research: Oceans, 122 (9), pp. 7466-7487 . doi:10.1002/2017JC012828 <https://doi.org/10.1002/2017JC012828> , hdl:10013/epic.93124b00-6253-4b77-95e6-a0e353435543 EPIC3Journal of Geophysical Research: Oceans, 122(9), pp. 7466-7487, ISSN: 21699275 Article isiRev 2017 ftawi https://doi.org/10.1002/2017JC012828 2024-06-24T04:18:50Z Article in Journal/Newspaper Arctic ice algae Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Journal of Geophysical Research: Oceans 122 9 7466 7487 |
institution |
Open Polar |
collection |
Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
op_collection_id |
ftawi |
language |
unknown |
format |
Article in Journal/Newspaper |
author |
Castellani, Giulia Losch, Martin Lang, Benjamin A. Flores, Hauke |
spellingShingle |
Castellani, Giulia Losch, Martin Lang, Benjamin A. Flores, Hauke Modeling Arctic sea-ice algae: Physical drivers of spatial distribution and algae phenology |
author_facet |
Castellani, Giulia Losch, Martin Lang, Benjamin A. Flores, Hauke |
author_sort |
Castellani, Giulia |
title |
Modeling Arctic sea-ice algae: Physical drivers of spatial distribution and algae phenology |
title_short |
Modeling Arctic sea-ice algae: Physical drivers of spatial distribution and algae phenology |
title_full |
Modeling Arctic sea-ice algae: Physical drivers of spatial distribution and algae phenology |
title_fullStr |
Modeling Arctic sea-ice algae: Physical drivers of spatial distribution and algae phenology |
title_full_unstemmed |
Modeling Arctic sea-ice algae: Physical drivers of spatial distribution and algae phenology |
title_sort |
modeling arctic sea-ice algae: physical drivers of spatial distribution and algae phenology |
publishDate |
2017 |
url |
https://epic.awi.de/id/eprint/46204/ https://epic.awi.de/id/eprint/46204/1/Castellani_etal_2017.pdf https://doi.org/10.1002/2017JC012828 https://hdl.handle.net/10013/epic.93124b00-6253-4b77-95e6-a0e353435543 |
genre |
Arctic ice algae Sea ice |
genre_facet |
Arctic ice algae Sea ice |
op_source |
EPIC3Journal of Geophysical Research: Oceans, 122(9), pp. 7466-7487, ISSN: 21699275 |
op_relation |
https://epic.awi.de/id/eprint/46204/1/Castellani_etal_2017.pdf Castellani, G. orcid:0000-0001-6151-015X , Losch, M. orcid:0000-0002-3824-5244 , Lang, B. A. and Flores, H. orcid:0000-0003-1617-5449 (2017) Modeling Arctic sea-ice algae: Physical drivers of spatial distribution and algae phenology , Journal of Geophysical Research: Oceans, 122 (9), pp. 7466-7487 . doi:10.1002/2017JC012828 <https://doi.org/10.1002/2017JC012828> , hdl:10013/epic.93124b00-6253-4b77-95e6-a0e353435543 |
op_doi |
https://doi.org/10.1002/2017JC012828 |
container_title |
Journal of Geophysical Research: Oceans |
container_volume |
122 |
container_issue |
9 |
container_start_page |
7466 |
op_container_end_page |
7487 |
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1810293489624154112 |