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Evaluation of LandscapeDNDC Model Predictions of CO$_{2}$ and N$_{2}$O Fluxes from an Oak Forest in SE England

Cade, Shirley M.; Clemitshaw, Kevin C.; Molina-Herrera, Saúl; Grote, Ruediger; Haas, Edwin; Wilkinson, Matthew; Morison, James I. L.; Yamulki, Sirwan

Abstract (englisch):
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 and regional scales, against eddy covariance and soil chamber measurements of CO2 and N2O fluxes in an 80-year-old deciduous oak forest. We compared two LandscapeDNDC vegetation modules: PSIM (Physiological Simulation Model), which includes the understorey explicitly, and PnET (Photosynthesis–Evapotranspiration Model), which does not. Species parameters for both modules were adjusted to match local measurements. LandscapeDNDC was able to reproduce daily micro-climatic conditions, which serve as input for the vegetation modules. The PSIM and PnET modules reproduced mean annual net CO2 uptake to within 1% and 15% of the measured values by balancing gains and losses in seasonal patterns with respect to measurements, although inter-annual variations were not well reproduced. The PSIM module indicated that the understorey contributed up to 21% to CO2 fluxes. ... mehr

DOI: 10.3390/f12111517
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
Institut für Meteorologie und Klimaforschung (IMK)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 03.11.2021
Sprache Englisch
Identifikator ISSN: 1999-4907
KITopen-ID: 1000139608
HGF-Programm 12.11.24 (POF IV, LK 01) Forest resilience to climate change
Weitere HGF-Programme 12.11.22 (POF IV, LK 01) Biogeochemical modeling of ecosystem-climate interactions
Erschienen in Forests
Verlag MDPI
Band 12
Heft 11
Seiten 1517
Bemerkung zur Veröffentlichung This article belongs to the Special Issue Simulation Models of the Dynamics of Forest Ecosystems
Schlagwörter process-based modelling; simulations; forest management; forest soils; greenhouse gas fluxes; eddy covariance; chamber flux measurement
Nachgewiesen in Scopus
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