Modelling permafrost sensitivity in Arctic forest
Deciduous larch is a weak competitor when growing in mixed stands with evergreen taxa but is dominant in many boreal forest areas of Eastern Siberia. It is hypothesised that certain factors such as a shallow active layer and high fire frequency favour larch. Our aim is to understand how the interact...
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ftawi:oai:epic.awi.de:50303 2023-05-15T14:27:44+02:00 Modelling permafrost sensitivity in Arctic forest Stünzi, Simone Boike, Julia Kruse, Stefan Herzschuh, Ulrike Langer, Moritz 2019-09-23 https://epic.awi.de/id/eprint/50303/ https://www.reklim-conference-2019.de/wp-content/uploads/2019/09/programme-16092019.pdf https://hdl.handle.net/10013/epic.7e47c3c2-0d19-4b24-8476-3378d29a2034 unknown Stünzi, S. orcid:0000-0002-6071-289X , Boike, J. orcid:0000-0002-5875-2112 , Kruse, S. orcid:0000-0003-1107-1958 , Herzschuh, U. orcid:0000-0003-0999-1261 and Langer, M. orcid:0000-0002-2704-3655 (2019) Modelling permafrost sensitivity in Arctic forest , REKLIM, 2nd International Conference "Our Climate - Our Future: Regional Perspectives on a Global Challenge, Berlin, 23 September 2019 - 26 September 2019 . hdl:10013/epic.7e47c3c2-0d19-4b24-8476-3378d29a2034 EPIC3REKLIM, 2nd International Conference "Our Climate - Our Future: Regional Perspectives on a Global Challenge, Berlin, 2019-09-23-2019-09-26 Conference notRev 2019 ftawi 2021-12-24T15:44:58Z Deciduous larch is a weak competitor when growing in mixed stands with evergreen taxa but is dominant in many boreal forest areas of Eastern Siberia. It is hypothesised that certain factors such as a shallow active layer and high fire frequency favour larch. Our aim is to understand how the interactions between the vegetation, permafrost and atmosphere stabilise the larch forests in Eastern Siberia. A one-dimensional land surface model (CryoGrid) is used to reproduce the energy transfer and ground thermal regime of permafrost ground and adapted for the application in vegetated areas. We implement a roughness sublayer turbulence parameterisation in a multilayer canopy to simulate an Arctic tree that responds to the local climate and permafrost conditions based on a scheme originally developed for the Community Land Model. The coupled model is capable of calculating the radiation budget, nitrogen and photosynthetic profiles, canopy turbulence and leaf fluxes of the canopy as well as the thermal conditions of the permafrost ground under several forcing scenarios. Conference Object Arctic Arctic permafrost Siberia Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Arctic |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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ftawi |
language |
unknown |
description |
Deciduous larch is a weak competitor when growing in mixed stands with evergreen taxa but is dominant in many boreal forest areas of Eastern Siberia. It is hypothesised that certain factors such as a shallow active layer and high fire frequency favour larch. Our aim is to understand how the interactions between the vegetation, permafrost and atmosphere stabilise the larch forests in Eastern Siberia. A one-dimensional land surface model (CryoGrid) is used to reproduce the energy transfer and ground thermal regime of permafrost ground and adapted for the application in vegetated areas. We implement a roughness sublayer turbulence parameterisation in a multilayer canopy to simulate an Arctic tree that responds to the local climate and permafrost conditions based on a scheme originally developed for the Community Land Model. The coupled model is capable of calculating the radiation budget, nitrogen and photosynthetic profiles, canopy turbulence and leaf fluxes of the canopy as well as the thermal conditions of the permafrost ground under several forcing scenarios. |
format |
Conference Object |
author |
Stünzi, Simone Boike, Julia Kruse, Stefan Herzschuh, Ulrike Langer, Moritz |
spellingShingle |
Stünzi, Simone Boike, Julia Kruse, Stefan Herzschuh, Ulrike Langer, Moritz Modelling permafrost sensitivity in Arctic forest |
author_facet |
Stünzi, Simone Boike, Julia Kruse, Stefan Herzschuh, Ulrike Langer, Moritz |
author_sort |
Stünzi, Simone |
title |
Modelling permafrost sensitivity in Arctic forest |
title_short |
Modelling permafrost sensitivity in Arctic forest |
title_full |
Modelling permafrost sensitivity in Arctic forest |
title_fullStr |
Modelling permafrost sensitivity in Arctic forest |
title_full_unstemmed |
Modelling permafrost sensitivity in Arctic forest |
title_sort |
modelling permafrost sensitivity in arctic forest |
publishDate |
2019 |
url |
https://epic.awi.de/id/eprint/50303/ https://www.reklim-conference-2019.de/wp-content/uploads/2019/09/programme-16092019.pdf https://hdl.handle.net/10013/epic.7e47c3c2-0d19-4b24-8476-3378d29a2034 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arctic permafrost Siberia |
genre_facet |
Arctic Arctic permafrost Siberia |
op_source |
EPIC3REKLIM, 2nd International Conference "Our Climate - Our Future: Regional Perspectives on a Global Challenge, Berlin, 2019-09-23-2019-09-26 |
op_relation |
Stünzi, S. orcid:0000-0002-6071-289X , Boike, J. orcid:0000-0002-5875-2112 , Kruse, S. orcid:0000-0003-1107-1958 , Herzschuh, U. orcid:0000-0003-0999-1261 and Langer, M. orcid:0000-0002-2704-3655 (2019) Modelling permafrost sensitivity in Arctic forest , REKLIM, 2nd International Conference "Our Climate - Our Future: Regional Perspectives on a Global Challenge, Berlin, 23 September 2019 - 26 September 2019 . hdl:10013/epic.7e47c3c2-0d19-4b24-8476-3378d29a2034 |
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1766301602741747712 |