Modelling daily to seasonal carbon fluxes and annual net ecosystem carbon balance of cereal grain-cropland using DailyDayCent: A model data comparison

A - Papers appearing in refereed journals

Senapati, N., Chabbi, A. and Smith, P. 2018. Modelling daily to seasonal carbon fluxes and annual net ecosystem carbon balance of cereal grain-cropland using DailyDayCent: A model data comparison. Agriculture, Ecosystems & Environment. 252, pp. 159-177.

AuthorsSenapati, N., Chabbi, A. and Smith, P.
Abstract

Croplands are important not only for food and fibre, but also for their global climate change mitigation and carbon (C) sequestration potentials. Measurements and modelling of daily C fluxes and annual C balance, which are needed for optimizing such global potentials in croplands, are difficult since many measurements, and the correct simulation of different ecosystem processes are needed. In the present study, a biogeochemical ecosystem model (DailyDayCent) was applied to simulate daily to seasonal C fluxes, as well as annual net ecosystem carbon balance (NECB), in a cereal grain-cropland. The model was tested using eddy-flux data and other associated C flux measurements lasting for three years over a full cereal crop-rotation (corn-wheat-barley) from a long-term experiment (SOERE–ACBB; http://www.soere-acbb.com) in France. DailyDayCent simulated seasonal crop growth, regrowth of volunteers and cumulative net primary production (NPP) at harvest successfully. Fairly consistent agreement was obtained between measured and modelled daily NPP over the full crop rotation, with model efficiency (EF) of 0.59. The model underestimated heterotrophic respiration (Rh) on daily, seasonal and annual time scales by 43–53%. Although a reasonable model fit was found for daily NEE over the entire experimental period (EF∼ 0.47), the model overestimated cumulative annual net C uptake (NEE) by 28 times. DailyDayCent simulated net C harvest efficiently, and the leaching loss of C reasonably well. Both the modelled and measured mean annual NECB indicate that present cereal grain-cropland is a net C source and the cropland is losing C at a mean annual rate of 64.0 (modelled) to 349.4 g C m−2 yr−1 (measured), thus the model overestimated mean annual NECB (or underestimated mean annual net C loss) in the present cropland by 82%. We conclude that overestimation of cumulative NEE on seasonal and annual time scales is the most likely reason for overestimation of NECB, and underestimation of Rh was the main driver for overestimation of cumulative seasonal and annual NEE. The model would benefit from further testing, particularly against direct measurements of Rh, and subsequent calibration, parameter estimation and model development for improving its ability to simulate Rh on daily to seasonal and annul time scales, cumulative seasonal and annual NEE, and net C balance, especially in cereal grain-croplands in the study region.

KeywordsCereal grain-cropland; DailyDayCent; Modelling; Carbon flux; Net ecosystem carbon balance
Year of Publication2018
JournalAgriculture, Ecosystems & Environment
Journal citation252, pp. 159-177
Digital Object Identifier (DOI)doi:10.1016/j.agee.2017.10.003
Web address (URL)http://www.sciencedirect.com/science/article/pii/S0167880917304498?via%3Dihub
Open accessPublished as non-open access
FunderBiotechnology and Biological Sciences Research Council
Funder project or codeDesigning Future Wheat (DFW) [ISPG]
DFW - Designing Future Wheat - Work package 1 (WP1) - Increased efficiency and sustainability
Output statusPublished
Publication dates
Online05 Nov 2017
Publication process dates
Accepted07 Oct 2017
PublisherElsevier
Elsevier Science Bv
ISSN0167-8809

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