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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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
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spelling	oai:doaj.org-article:4750c68307fa4001972bdd2303ef05352021-11-25T17:38:13ZEvaluation of LandscapeDNDC Model Predictions of CO<sub>2</sub> and N<sub>2</sub>O Fluxes from an Oak Forest in SE England10.3390/f121115171999-4907https://doaj.org/article/4750c68307fa4001972bdd2303ef05352021-11-01T00:00:00Zhttps://www.mdpi.com/1999-4907/12/11/1517https://doaj.org/toc/1999-4907Process-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 CO<sub>2</sub> and N<sub>2</sub>O 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 CO<sub>2</sub> 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 CO<sub>2</sub> fluxes. Mean annual soil CO<sub>2</sub> fluxes were underestimated by 32% using PnET and overestimated by 26% with PSIM; both modules simulated annual soil N<sub>2</sub>O fluxes within the measured range but with less interannual variation. Including stand structure information improved the model, but further improvements are required for the model to predict forest GHG balances and their inter-annual variability following climatic or management changes.Shirley M. CadeKevin C. ClemitshawSaúl Molina-HerreraRüdiger GroteEdwin HaasMatthew WilkinsonJames I. L. MorisonSirwan YamulkiMDPI AGarticleprocess-based modellingsimulationsforest managementforest soilsgreenhouse gas fluxeseddy covariancePlant ecologyQK900-989ENForests, Vol 12, Iss 1517, p 1517 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	process-based modelling simulations forest management forest soils greenhouse gas fluxes eddy covariance Plant ecology QK900-989
spellingShingle	process-based modelling simulations forest management forest soils greenhouse gas fluxes eddy covariance Plant ecology QK900-989 Shirley M. Cade Kevin C. Clemitshaw Saúl Molina-Herrera Rüdiger Grote Edwin Haas Matthew Wilkinson James I. L. Morison Sirwan Yamulki Evaluation of LandscapeDNDC Model Predictions of CO<sub>2</sub> and N<sub>2</sub>O Fluxes from an Oak Forest in SE England
description	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 CO<sub>2</sub> and N<sub>2</sub>O 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 CO<sub>2</sub> 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 CO<sub>2</sub> fluxes. Mean annual soil CO<sub>2</sub> fluxes were underestimated by 32% using PnET and overestimated by 26% with PSIM; both modules simulated annual soil N<sub>2</sub>O fluxes within the measured range but with less interannual variation. Including stand structure information improved the model, but further improvements are required for the model to predict forest GHG balances and their inter-annual variability following climatic or management changes.
format	article
author	Shirley M. Cade Kevin C. Clemitshaw Saúl Molina-Herrera Rüdiger Grote Edwin Haas Matthew Wilkinson James I. L. Morison Sirwan Yamulki
author_facet	Shirley M. Cade Kevin C. Clemitshaw Saúl Molina-Herrera Rüdiger Grote Edwin Haas Matthew Wilkinson James I. L. Morison Sirwan Yamulki
author_sort	Shirley M. Cade
title	Evaluation of LandscapeDNDC Model Predictions of CO<sub>2</sub> and N<sub>2</sub>O Fluxes from an Oak Forest in SE England
title_short	Evaluation of LandscapeDNDC Model Predictions of CO<sub>2</sub> and N<sub>2</sub>O Fluxes from an Oak Forest in SE England
title_full	Evaluation of LandscapeDNDC Model Predictions of CO<sub>2</sub> and N<sub>2</sub>O Fluxes from an Oak Forest in SE England
title_fullStr	Evaluation of LandscapeDNDC Model Predictions of CO<sub>2</sub> and N<sub>2</sub>O Fluxes from an Oak Forest in SE England
title_full_unstemmed	Evaluation of LandscapeDNDC Model Predictions of CO<sub>2</sub> and N<sub>2</sub>O Fluxes from an Oak Forest in SE England
title_sort	evaluation of landscapedndc model predictions of co<sub>2</sub> and n<sub>2</sub>o fluxes from an oak forest in se england
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/4750c68307fa4001972bdd2303ef0535
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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

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