Evaluation of LandscapeDNDC Model Predictions of CO<sub>2</sub> and N<sub>2</sub>O Fluxes from an Oak Forest in SE England

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Evaluation of LandscapeDNDC Model Predictions of CO<sub>2</sub> and N<sub>2</sub>O Fluxes from an Oak Forest in SE England

Process-based biogeochemical models are valuable tools to evaluate impacts of environmental or management changes on the greenhouse gas (GHG) balance of forest ecosystems. We evaluated LandscapeDNDC, a process-based model developed to simulate carbon (C), nitrogen (N) and water cycling at ecosystem...

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Detalles Bibliográficos
Autores principales:	Shirley M. Cade, Kevin C. Clemitshaw, Saúl Molina-Herrera, Rüdiger Grote, Edwin Haas, Matthew Wilkinson, James I. L. Morison, Sirwan Yamulki
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	process-based modelling simulations forest management forest soils greenhouse gas fluxes eddy covariance Plant ecology QK900-989
Acceso en línea:	https://doaj.org/article/4750c68307fa4001972bdd2303ef0535
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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