Building an indicator to characterize the thermal conditions for plant growth on an Arctic archipelago, Svalbard
International audience Plant growth in the Arctic is strictly dependant on thermal conditions. The purpose of our study is therefore to calculating temperature distributions on the Svalbard archipelago at a relatively high spatial resolution. The model is designed to reflect both the length of the g...
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Online Access: | https://hal.science/hal-01291153 https://doi.org/10.1016/j.ecolind.2015.12.005 |
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ftunivbourgogne:oai:HAL:hal-01291153v1 2024-09-15T17:52:14+00:00 Building an indicator to characterize the thermal conditions for plant growth on an Arctic archipelago, Svalbard Joly, Daniel Arnesen, Geir Malnes, Eirik Nilsen, Lennart Théoriser et modéliser pour aménager (UMR 6049) (ThéMA) Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC) Université Bourgogne Franche-Comté COMUE (UBFC)-Université Bourgogne Franche-Comté COMUE (UBFC) Ecofact Nord University of Tromsø (UiT) Northern Research Institute Tromsø (NORUT) 2016 https://hal.science/hal-01291153 https://doi.org/10.1016/j.ecolind.2015.12.005 en eng HAL CCSD Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolind.2015.12.005 hal-01291153 https://hal.science/hal-01291153 doi:10.1016/j.ecolind.2015.12.005 ISSN: 1470-160X EISSN: 1872-7034 Ecological Indicators https://hal.science/hal-01291153 Ecological Indicators, 2016, 66, pp.623-631. ⟨10.1016/j.ecolind.2015.12.005⟩ temperature interpolation modelling Arctic Svalbard [SHS.GEO]Humanities and Social Sciences/Geography info:eu-repo/semantics/article Journal articles 2016 ftunivbourgogne https://doi.org/10.1016/j.ecolind.2015.12.005 2024-07-29T23:39:14Z International audience Plant growth in the Arctic is strictly dependant on thermal conditions. The purpose of our study is therefore to calculating temperature distributions on the Svalbard archipelago at a relatively high spatial resolution. The model is designed to reflect both the length of the growing season and the temperature sum for a given area (i.e. growing degree-days (GDD)). GDD on Svalbard is defined as the cumulative sum of positive mean daily temperatures in the months of June, July and August. The temperature distribution of GDD for the entire archipelago is calculated from both local and regional information. Local information is derived from data collected in a small area in northwestern Spitsbergen (Kongsfjorden) where a network of 45 thermal sensors recorded air temperatures for five years (2001–2005). A local GDD parameter is computed by a linear combination of elevation, valley depth and NDVI (normalized difference vegetation index). Then this local GDD is applied to the whole of Svalbard (GDD1) and refined stepwise by adding environmental variables such as cloud fraction, land surface temperature, sea surface temperature, distance to the ocean and number of snow-free days. Because the official network of climatological stations on Svalbard is not dense enough and sufficiently well-distributed across the archipelago to enable spatial interpolations for four years only (2011–2014), all outputs are statistically evaluated and adjusted using the values recorded at 9 (2011), 12 (2012) and 13 (2013–2014) meteorological stations (GDDref) and used as a set of evaluation data. The final model (GDDmean), which is the mean of the annual models estimated by regression (GDDest), performs well: the central parts of Spitsbergen, known for its comparatively high temperatures, contrast with the colder northern and eastern parts of the archipelago. Article in Journal/Newspaper Arctic Archipelago Kongsfjord* Kongsfjorden Svalbard Spitsbergen Université de Bourgogne (UB): HAL Ecological Indicators 66 623 631 |
institution |
Open Polar |
collection |
Université de Bourgogne (UB): HAL |
op_collection_id |
ftunivbourgogne |
language |
English |
topic |
temperature interpolation modelling Arctic Svalbard [SHS.GEO]Humanities and Social Sciences/Geography |
spellingShingle |
temperature interpolation modelling Arctic Svalbard [SHS.GEO]Humanities and Social Sciences/Geography Joly, Daniel Arnesen, Geir Malnes, Eirik Nilsen, Lennart Building an indicator to characterize the thermal conditions for plant growth on an Arctic archipelago, Svalbard |
topic_facet |
temperature interpolation modelling Arctic Svalbard [SHS.GEO]Humanities and Social Sciences/Geography |
description |
International audience Plant growth in the Arctic is strictly dependant on thermal conditions. The purpose of our study is therefore to calculating temperature distributions on the Svalbard archipelago at a relatively high spatial resolution. The model is designed to reflect both the length of the growing season and the temperature sum for a given area (i.e. growing degree-days (GDD)). GDD on Svalbard is defined as the cumulative sum of positive mean daily temperatures in the months of June, July and August. The temperature distribution of GDD for the entire archipelago is calculated from both local and regional information. Local information is derived from data collected in a small area in northwestern Spitsbergen (Kongsfjorden) where a network of 45 thermal sensors recorded air temperatures for five years (2001–2005). A local GDD parameter is computed by a linear combination of elevation, valley depth and NDVI (normalized difference vegetation index). Then this local GDD is applied to the whole of Svalbard (GDD1) and refined stepwise by adding environmental variables such as cloud fraction, land surface temperature, sea surface temperature, distance to the ocean and number of snow-free days. Because the official network of climatological stations on Svalbard is not dense enough and sufficiently well-distributed across the archipelago to enable spatial interpolations for four years only (2011–2014), all outputs are statistically evaluated and adjusted using the values recorded at 9 (2011), 12 (2012) and 13 (2013–2014) meteorological stations (GDDref) and used as a set of evaluation data. The final model (GDDmean), which is the mean of the annual models estimated by regression (GDDest), performs well: the central parts of Spitsbergen, known for its comparatively high temperatures, contrast with the colder northern and eastern parts of the archipelago. |
author2 |
Théoriser et modéliser pour aménager (UMR 6049) (ThéMA) Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC) Université Bourgogne Franche-Comté COMUE (UBFC)-Université Bourgogne Franche-Comté COMUE (UBFC) Ecofact Nord University of Tromsø (UiT) Northern Research Institute Tromsø (NORUT) |
format |
Article in Journal/Newspaper |
author |
Joly, Daniel Arnesen, Geir Malnes, Eirik Nilsen, Lennart |
author_facet |
Joly, Daniel Arnesen, Geir Malnes, Eirik Nilsen, Lennart |
author_sort |
Joly, Daniel |
title |
Building an indicator to characterize the thermal conditions for plant growth on an Arctic archipelago, Svalbard |
title_short |
Building an indicator to characterize the thermal conditions for plant growth on an Arctic archipelago, Svalbard |
title_full |
Building an indicator to characterize the thermal conditions for plant growth on an Arctic archipelago, Svalbard |
title_fullStr |
Building an indicator to characterize the thermal conditions for plant growth on an Arctic archipelago, Svalbard |
title_full_unstemmed |
Building an indicator to characterize the thermal conditions for plant growth on an Arctic archipelago, Svalbard |
title_sort |
building an indicator to characterize the thermal conditions for plant growth on an arctic archipelago, svalbard |
publisher |
HAL CCSD |
publishDate |
2016 |
url |
https://hal.science/hal-01291153 https://doi.org/10.1016/j.ecolind.2015.12.005 |
genre |
Arctic Archipelago Kongsfjord* Kongsfjorden Svalbard Spitsbergen |
genre_facet |
Arctic Archipelago Kongsfjord* Kongsfjorden Svalbard Spitsbergen |
op_source |
ISSN: 1470-160X EISSN: 1872-7034 Ecological Indicators https://hal.science/hal-01291153 Ecological Indicators, 2016, 66, pp.623-631. ⟨10.1016/j.ecolind.2015.12.005⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolind.2015.12.005 hal-01291153 https://hal.science/hal-01291153 doi:10.1016/j.ecolind.2015.12.005 |
op_doi |
https://doi.org/10.1016/j.ecolind.2015.12.005 |
container_title |
Ecological Indicators |
container_volume |
66 |
container_start_page |
623 |
op_container_end_page |
631 |
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1810294296016846848 |