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  A stochastic model for the polygonal tundra based on Poisson-Voronoi diagrams

Cresto-Aleina, F., Brovkin, V., Muster, S., Boike, J., Kutzbach, L., Sachs, T., et al. (2013). A stochastic model for the polygonal tundra based on Poisson-Voronoi diagrams. Earth System Dynamics, 4, 187-198. doi:10.5194/esd-4-187-2013.

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 Creators:
Cresto-Aleina, Fabio1, 2, Author           
Brovkin, Victor1, Author                 
Muster, S., Author
Boike, J., Author
Kutzbach, Lars3, Author           
Sachs, T., Author
Zuyev, S., Author
Affiliations:
1Climate-Biogeosphere Interaction, The Land in the Earth System, MPI for Meteorology, Max Planck Society, ou_913566              
2IMPRS on Earth System Modelling, MPI for Meteorology, Max Planck Society, Bundesstraße 53, 20146 Hamburg, DE, ou_913547              
3CRG Regional Hydrology in Terrestrial Systems, Research Area B: Climate Manifestations and Impacts, The CliSAP Cluster of Excellence, External Organizations, Bundesstraße 53, 20146 Hamburg, DE, ou_2025292              

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Free keywords: DERIVE METHANE EMISSIONS; SURFACE-ENERGY BALANCE; NORTHERN SIBERIA; NATURAL WETLANDS; CLIMATE-CHANGE; VEGETATION; WATER; ECOSYSTEMS; ATMOSPHERE; FEEDBACKS
 Abstract: Subgrid processes occur in various ecosystems and landscapes but, because of their small scale, they are not represented or poorly parameterized in climate models. These local heterogeneities are often important or even fundamental for energy and carbon balances. This is especially true for northern peatlands and in particular for the polygonal tundra, where methane emissions are strongly influenced by spatial soil heterogeneities. We present a stochastic model for the surface topography of polygonal tundra using Poisson–Voronoi diagrams and we compare the results with available recent field studies. We analyze seasonal dynamics of water table variations and the landscape response under different scenarios of precipitation income. We upscale methane fluxes by using a simple idealized model for methane emission. Hydraulic interconnectivities and large-scale drainage may also be investigated through percolation properties and thresholds in the Voronoi graph. The model captures the main statistical characteristics of the landscape topography, such as polygon area and surface properties as well as the water balance. This approach enables us to statistically relate large-scale properties of the system to the main small-scale processes within the single polygons.

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Language(s): eng - English
 Dates: 20132013-12
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.5194/esd-4-187-2013
 Degree: -

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Title: Earth System Dynamics
  Other : Earth Syst. Dyn.
Source Genre: Journal
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Publ. Info: New York : Copernicus GmbH
Pages: - Volume / Issue: 4 Sequence Number: - Start / End Page: 187 - 198 Identifier: Other: 2190-4979
CoNE: https://pure.mpg.de/cone/journals/resource/2190-4979