A stochastic model for the polygonal tundra based on Poisson–Voronoi diagrams
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...
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ftdoajarticles:oai:doaj.org/article:972eecb429254773b7065dd04b9cf835 2023-05-15T18:40:02+02:00 A stochastic model for the polygonal tundra based on Poisson–Voronoi diagrams F. Cresto Aleina V. Brovkin S. Muster J. Boike L. Kutzbach T. Sachs S. Zuyev 2013-07-01T00:00:00Z https://doi.org/10.5194/esd-4-187-2013 https://doaj.org/article/972eecb429254773b7065dd04b9cf835 EN eng Copernicus Publications http://www.earth-syst-dynam.net/4/187/2013/esd-4-187-2013.pdf https://doaj.org/toc/2190-4979 https://doaj.org/toc/2190-4987 2190-4979 2190-4987 doi:10.5194/esd-4-187-2013 https://doaj.org/article/972eecb429254773b7065dd04b9cf835 Earth System Dynamics, Vol 4, Iss 2, Pp 187-198 (2013) Science Q Geology QE1-996.5 Dynamic and structural geology QE500-639.5 article 2013 ftdoajarticles https://doi.org/10.5194/esd-4-187-2013 2022-12-31T14:55:34Z 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. Article in Journal/Newspaper Tundra Directory of Open Access Journals: DOAJ Articles Earth System Dynamics 4 2 187 198 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
Science Q Geology QE1-996.5 Dynamic and structural geology QE500-639.5 |
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Science Q Geology QE1-996.5 Dynamic and structural geology QE500-639.5 F. Cresto Aleina V. Brovkin S. Muster J. Boike L. Kutzbach T. Sachs S. Zuyev A stochastic model for the polygonal tundra based on Poisson–Voronoi diagrams |
topic_facet |
Science Q Geology QE1-996.5 Dynamic and structural geology QE500-639.5 |
description |
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. |
format |
Article in Journal/Newspaper |
author |
F. Cresto Aleina V. Brovkin S. Muster J. Boike L. Kutzbach T. Sachs S. Zuyev |
author_facet |
F. Cresto Aleina V. Brovkin S. Muster J. Boike L. Kutzbach T. Sachs S. Zuyev |
author_sort |
F. Cresto Aleina |
title |
A stochastic model for the polygonal tundra based on Poisson–Voronoi diagrams |
title_short |
A stochastic model for the polygonal tundra based on Poisson–Voronoi diagrams |
title_full |
A stochastic model for the polygonal tundra based on Poisson–Voronoi diagrams |
title_fullStr |
A stochastic model for the polygonal tundra based on Poisson–Voronoi diagrams |
title_full_unstemmed |
A stochastic model for the polygonal tundra based on Poisson–Voronoi diagrams |
title_sort |
stochastic model for the polygonal tundra based on poisson–voronoi diagrams |
publisher |
Copernicus Publications |
publishDate |
2013 |
url |
https://doi.org/10.5194/esd-4-187-2013 https://doaj.org/article/972eecb429254773b7065dd04b9cf835 |
genre |
Tundra |
genre_facet |
Tundra |
op_source |
Earth System Dynamics, Vol 4, Iss 2, Pp 187-198 (2013) |
op_relation |
http://www.earth-syst-dynam.net/4/187/2013/esd-4-187-2013.pdf https://doaj.org/toc/2190-4979 https://doaj.org/toc/2190-4987 2190-4979 2190-4987 doi:10.5194/esd-4-187-2013 https://doaj.org/article/972eecb429254773b7065dd04b9cf835 |
op_doi |
https://doi.org/10.5194/esd-4-187-2013 |
container_title |
Earth System Dynamics |
container_volume |
4 |
container_issue |
2 |
container_start_page |
187 |
op_container_end_page |
198 |
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1766229145245712384 |