Predicting mangrove forest dynamics across a soil salinity gradient using an individual-based vegetation model linked with plant hydraulics
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Predicting mangrove forest dynamics across a soil salinity gradient using an individual-based vegetation model linked with plant hydraulics ; day:14 ; month:10 ; year:2021 ; pages:1-34 ; extent:34
Biogeosciences discussions ; (14.10.2021), 1-34 (gesamt 34)
- Creator
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Yoshikai, Masaya
Nakamura, Takashi
Suwa, Rempei
Sharma, Sahadev
Rollon, Rene
Yasuoka, Jun
Egawa, Ryohei
Nadaoka, Kazuo
- DOI
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10.5194/bg-2021-255
- URN
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urn:nbn:de:101:1-2021102105290615818736
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 15.08.2025, 7:36 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Yoshikai, Masaya
- Nakamura, Takashi
- Suwa, Rempei
- Sharma, Sahadev
- Rollon, Rene
- Yasuoka, Jun
- Egawa, Ryohei
- Nadaoka, Kazuo
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Computational hydraulics
Basic hydraulics
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Hydraulics, [Hauptbd.].
Groundwater hydraulics
Oceanic hydraulics
Seasonal groundwater salinity dynamics in the mangrove supratidal zones based on shallow groundwater salinity and electrical resistivity imaging data