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Assessing CH4 and CO2 emissions from wetlands in the Drenthe Province, the Netherlands: a modelling approach

Published online by Cambridge University Press:  24 March 2014

A.M.R. Petrescu ,
J. van Huissteden ,
F. de Vries ,
E.P.H. Bregman  and
A. Scheper
A.M.R. Petrescu*
Affiliation:
Vrije Universiteit, Faculty of Earth and Life Sciences, Department of Hydrology and Geo-Environmental Sciences, De Boelelaan 1085, 1081 HV, Amsterdam, the Netherlands Email: [email protected].
J. van Huissteden
Affiliation:
Vrije Universiteit, Faculty of Earth and Life Sciences, Department of Hydrology and Geo-Environmental Sciences, De Boelelaan 1085, 1081 HV, Amsterdam, the Netherlands Email: [email protected].
F. de Vries
Affiliation:
Wageningen University and Research Centre – Alterra, Soil Science Centre, the Netherlands Email: [email protected].
E.P.H. Bregman
Affiliation:
Department of sustainable development – Province of Drenthe, Westerbrink 1, postbus 122, 9400 AC, Assen Emails: [email protected], [email protected].
A. Scheper
Affiliation:
Department of sustainable development – Province of Drenthe, Westerbrink 1, postbus 122, 9400 AC, Assen Emails: [email protected], [email protected].
*
*Email: [email protected].
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Abstract

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Assessment of land use related greenhouse gas (GHG) emissions on larger spatial scales is usually achieved by modelling. Surface flux measurements are expensive and measurement locations too widely scattered to serve as spatially reliable flux estimates. Here we assess CO2 and CH4 fluxes from wetland nature reserves in the Dutch province of Drenthe, using the PEATLAND-VU model. Since surface flux observations in the province are absent and cannot be obtained in a short (<1 year) time frame, we extrapolated model validation from elsewhere to the research area. In this way a cost-effective methodology is developed for landuse-related greenhouse gas emission assessments, which can be applied by local governments at a subnational scale.

Nature development and restoration in the Netherlands involves usually the restoration of high water tables in former agricultural areas and extensivation or abandonment of agricultural activities. Wet peat soils are known to emit considerable quantities of CH4, while drained agricultural soils emit CO2 from decomposition of the soil organic matter. Therefore, these landuse changes may affect GHG emissions and an assessment of their effects is useful for environmental policy.

The PEATLAND-VU Model was used to simulate the CH4 and CO2 emissions for the years 2005-2007 and for May/June 2008. Previous field validation of the model elsewhere was checked for local validity with CH4 and CO2 flux measurements in short field campaigns in May/June 2008, at two locations, Visvliet and Balloërveld. These sites represent respectively eutrophic and oligotrophic peat and peaty soils, and showed large differences in fluxes. These flux differences were simulated correctly by the model by adapting the vegetation net primary production and methane oxidation parameters. Next, model simulations were run for eight combinations of vegetation and soil type. Using the simulated fluxes and the areal extent of the soil combinations, a GIS-based upscaling over all nature reserves was made.

This study shows that river valley floors with mesotrophic and eutrophic peat soils dominate the greenhouse fluxes of the area. CH4 fluxes are high in wet terrain, while the CO2 fluxes are high when water table is lower. The fluxes from oligotrophic peat soils are comparatively low. Nature development can contribute to a decrease of the total greenhouse gas flux from peat soils and to conservation of soil organic matter.

Keywords

carbon dioxidepeat soilsmethanewater table
Type
Research Article
Information
Netherlands Journal of Geosciences , Volume 88 , Issue 2 , September 2009 , pp. 101 - 116
Copyright
Copyright © Stichting Netherlands Journal of Geosciences 2009

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