Regional-scale data assimilation with the Spatially Explicit Individual-based Dynamic Global Vegetation Model (SEIB-DGVM) over Siberia
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2197-4284
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Regional-scale data assimilation with the Spatially Explicit Individual-based Dynamic Global Vegetation Model (SEIB-DGVM) over Siberia ; volume:8 ; number:1 ; day:14 ; month:9 ; year:2021 ; pages:1-15 ; date:12.2021
Progress in Earth and Planetary Science ; 8, Heft 1 (14.9.2021), 1-15, 12.2021
- Creator
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Arakida, Hazuki
Kotsuki, Shunji
Otsuka, Shigenori
Sawada, Yohei
Miyoshi, Takemasa
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s40645-021-00443-6
- URN
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urn:nbn:de:101:1-2021112519110726584712
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:32 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Arakida, Hazuki
- Kotsuki, Shunji
- Otsuka, Shigenori
- Sawada, Yohei
- Miyoshi, Takemasa
- SpringerLink (Online service)
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Modeling of non-structural carbohydrate dynamics by the spatially explicit individual-based dynamic global vegetation model SEIB-DGVM (SEIB-DGVM-NSC version 1.0)
Larix treeline dynamics in nothern Siberia inferred from population genetics and individual-based modelling
Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model
Reconstructing the 2003/2004 H3N2 influenza epidemic in Switzerland with a spatially explicit, individual-based model
Seib, Adam
Seib, Elfriede
Seib, Adam
Seib, Wilhelm
Seib, Jakob
Seib, Marie
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