Assessing soil carbon dioxide and methane fluxes from a Scots pine raised bog-edge-woodland

Mazzola, Valeria; Perks, Mike; Smith, Jo; Yeluripati, Jagadeesh; Xenakis, Georgios

doi:10.1016/j.jenvman.2021.114061

Cited by 2 publications

(2 citation statements)

References 68 publications

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“…Rewetting refers to the practice of re-raising surface water levels of drained peatlands (Knox et al, 2015). Field studies have shown that vegetation restoration in combination with rewetting may reduce GHG emissions (Graf and Rochefort, 2009;Abdalla et al, 2016;Mazzola et al, 2022). Vegetation impacts the net GHG emissions in peatlands by directly influencing the net primary production (photosynthesis minus plant respiration) and organic matter available for decomposition and indirectly, by influencing the substrates available for microbial metabolization in the soil column.…”

Section: Introductionmentioning

confidence: 99%

Peatland-VU-NUCOM (PVN 1.0): Using dynamic PFTs to model peatland vegetation, CH₄ and CO₂ emissions

Lippmann

Heijmans

Velde

et al. 2023

Preprint

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Abstract. Despite covering only 3 % of the planet’s land surface, peatlands store 30 % of the planet’s terrestrial carbon. The potential to both emit and drawdown CO2 and CH4, means that peatlands have a complex and multifaceted relationship with the global climate system. The net GHG emissions from peatlands depends on many factors but primarily vegetation composition, ground water level and drainage, land management, and soil temperature. Many peatland models use surface water levels to estimate CH4 exchange, neglecting to consider the efﬁciency of CH4 transported to the atmosphere by vegetation. To assess the impact of vegetation on the GHG ﬂuxes of peatlands, we have developed a new model, Peatland-VU-NUCOM (PVN). The new PVN model has been built from two parent models, the Peatland-VU and NUCOM-BOG models. To represent dynamic vegetation, we have introduced plant functional types and competition, adapted from the NUCOM-BOG model, into the Peatland-VU model. The PVN model includes plant competition, CH4 diffusion, ebullition, root, shoot, litter, exudate production, below-ground decomposition, and above-ground moss development, under changing water levels and climatic conditions. PVN is a site-speciﬁc peatland CH4 and CO2 emissions model, able to reproduce vegetation dynamics. Here, we present the PVN model structure and explore the model’s sensitivity to environmental input data and the intro- duction of the new vegetation-competition schemes. We evaluate the model against observed chamber data collected at two peatland sites in the Netherlands to show that the model is able to reproduce realistic plant biomass fractions, and daily CH4 and CO2 ﬂuxes. We ﬁnd that this plot-scale model is ﬂexible and robust and suitable to be used to simulate vegetation dynamics and emissions of other peatland sites.

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Section: Introductionmentioning

confidence: 99%

Peatland-VU-NUCOM (PVN 1.0): Using dynamic PFTs to model peatland vegetation, CH₄ and CO₂ emissions

Lippmann

Heijmans

Velde

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Günther et al, 2020;Boonman et al, 2022) with the majority of studies concluding that rewetting leads to enhanced CH 4 and net GHG emissions (Harpenslager et al, 2015;Knox et al, 2015). Field studies have shown that vegetation restoration in combination with rewetting may reduce GHG emissions (Graf and Rochefort, 2009;Mazzola et al, 2022). Vegetation impacts the net GHG emissions in peatlands by directly influencing the net primary production and organic matter available for decomposition and indirectly and by influencing the substrates available for microbial metabolisation in the soil column (Bansal et al, 2020;Bridgham et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

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

Lippmann,

van der Velde,

Heijmans

et al. 2023

Geosci. Model Dev.

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Abstract. Despite covering only 3 % of the planet’s land surface, peatlands store 30 % of the planet’s terrestrial carbon. The net greenhouse gas (GHG) emissions from peatlands depend on many factors but primarily soil temperature, vegetation composition, water level and drainage, and land management. However, many peatland models rely on water levels to estimate CH4 exchange, neglecting to consider the role of CH4 transported to the atmosphere by vegetation. To assess the impact of vegetation on the GHG fluxes of peatlands, we have developed a new model, Peatland-VU-NUCOM (PVN). The PVN model is a site-specific peatland CH4 and CO2 emissions model, able to reproduce vegetation dynamics. To represent dynamic vegetation, we have introduced plant functional types and competition, adapted from the NUCOM-BOG model, into the framework of the Peatland-VU model, a peatland GHG emissions model. The new PVN model includes plant competition, CH4 diffusion, ebullition, root, shoot, litter, exudate production, belowground decomposition, and aboveground moss development under changing water levels and climatic conditions. Here, we present the PVN model structure and explore the model's sensitivity to environmental input data and the introduction of the new vegetation competition schemes. We evaluate the model against observed chamber data collected at two peatland sites in the Netherlands to show that the model is able to reproduce realistic plant biomass fractions and daily CH4 and CO2 fluxes. We find that daily air temperature, water level, harvest frequency and height, and vegetation composition drive CH4 and CO2 emissions. We find that this process-based model is suitable to be used to simulate peatland vegetation dynamics and CH4 and CO2 emissions.

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Assessing soil carbon dioxide and methane fluxes from a Scots pine raised bog-edge-woodland

Cited by 2 publications

References 68 publications

Peatland-VU-NUCOM (PVN 1.0): Using dynamic PFTs to model peatland vegetation, CH₄ and CO₂ emissions

Peatland-VU-NUCOM (PVN 1.0): Using dynamic PFTs to model peatland vegetation, CH₄ and CO₂ emissions

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

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Assessing soil carbon dioxide and methane fluxes from a Scots pine raised bog-edge-woodland

Cited by 2 publications

References 68 publications

Peatland-VU-NUCOM (PVN 1.0): Using dynamic PFTs to model peatland vegetation, CH4 and CO2 emissions

Peatland-VU-NUCOM (PVN 1.0): Using dynamic PFTs to model peatland vegetation, CH4 and CO2 emissions

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

Contact Info

Product

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About

Peatland-VU-NUCOM (PVN 1.0): Using dynamic PFTs to model peatland vegetation, CH₄ and CO₂ emissions

Peatland-VU-NUCOM (PVN 1.0): Using dynamic PFTs to model peatland vegetation, CH₄ and CO₂ emissions

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