Articles | Volume 16, issue 22
Model description paper
22 Nov 2023
Model description paper |  | 22 Nov 2023

Peatland-VU-NUCOM (PVN 1.0): using dynamic plant functional types to model peatland vegetation, CH4, and CO2 emissions

Tanya J. R. Lippmann, Ype van der Velde, Monique M. P. D. Heijmans, Han Dolman, Dimmie M. D. Hendriks, and Ko van Huissteden

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Cited articles

Alhoz, K., Kenesei, K., Papageorgiou, M., Keurentjes, E. E. M., and de Jong, M.: Improved AHN3 Gridded DTM/DSM, Delft University of Technology, (last access: 15 November 2023) 2020. a
Aulakh, M. S., Wassmann, R., Bueno, C., and Rennenberg, H.: Impact of root exudates of different cultivars and plant development stages of rice (Oryza sativa L.) on methane production in a paddy soil, Plant Soil, 230, 77–86,, 2001. a
Baldocchi, D. D.: Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: Past, present and future, Glob. Change Biol., 9, 479–492,, 2003. a
Baldocchi, D. D. and Harley, P. C.: Scaling carbon dioxide and water vapour exchange from leaf to canopy in a deciduous forest. II. Model testing and application, Plant Cell Environ., 18, 1157–1173,, 1995. a
Ballantyne, D. M., Hribljan, J. A., Pypker, T. G., and Chimner, R. A.: Long-term water table manipulations alter peatland gaseous carbon fluxes in Northern Michigan, Wetl. Ecol. Manag., 22, 35–47,, 2014. a
Short summary
Vegetation is a critical component of carbon storage in peatlands but an often-overlooked concept in many peatland models. We developed a new model capable of simulating the response of vegetation to changing environments and management regimes. We evaluated the model against observed chamber data collected at two peatland sites. We found that daily air temperature, water level, harvest frequency and height, and vegetation composition drive methane and carbon dioxide emissions.