4.7 Article

Modelling CO2 and CH4 emissions from drained peatlands with grass cultivation by the BASGRA-BGC model

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 765, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.scitotenv.2020.144385

关键词

Cultivated peatlands; Drainage; WTL; CO2 CH4; BASGRA-BGC model

资金

  1. project Climate smart use of Norwegian organic soils by the Research Council of Norway [281109]

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The study developed a model to simulate the dynamics of water table levels and carbon emissions in cultivated peatlands in the Nordic countries, and proposed methods to improve water table management for reducing carbon emissions.
Cultivated peatlands under drainage practices contribute significant carbon losses from agricultural sector in the Nordic countries. In this research, we developed the BASGRA-BGC model coupled with hydrological, soil carbon decomposition and methane modules to simulate the dynamic of water table level (WTL), carbon dioxide (CO2) and methane (CH4) emissions for cultivated peatlands. The field measurements from four experimental sites in Finland, Denmark and Norway were used to validate the predictive skills of this novel model under different WTL management practices, climatic conditions and soil properties. Compared with daily observations, the model performed well in terms of RMSE (Root Mean Square Error; 0.06-0.11 m, 1.22-2.43 gC/m(2)/day, and 0.002-0.330 kgC/ha/day for WTL, CO2 and CH4, respectively), NRMSE (Normalized Root Mean Square Error; 10.3-18.3%, 13.0-18.6%, 15.3-21.9%) and Pearson's r (Pearson correlation coefficient; 0.60-0.91, 0.76-0.88, 0.33-0.80). The daily/ seasonal variabilities were therefore captured and the aggregated results corresponded well with annual estimations. We further provided an example on the model's potential use in improving the WTL management to mitigate CO2 and CH4 emissions while maintaining grass production. At all study sites, the simulatedWTLs and carbon decomposition rates showed a significant negative correlation. Therefore, controlling WTL could effectively reduce carbon losses. However, given the highly diverse carbon decomposition rates within individual WTLs, adding indicators (e.g. soil moisture and peat quality) would improve our capacity to assess the effectiveness of specific mitigation practices such as WTL control and rewetting. (C) 2020 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license

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