Plants as bioindicator for temperature interpolation purposes : analyzing spatial correlation between botany based index of thermophily and integrated temperature characteristics
International audience The success of interpolation techniques relies heavily on the density and regularity of field reference data points. For instance temperature interpolations in the Arctic are hampered by few and scattered meteorological stations. The major objective of this study is to analyze...
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Online Access: | https://hal.science/hal-00731635 https://doi.org/10.1016/j.ecolind.2010.02.007 |
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ftunivbourgogne:oai:HAL:hal-00731635v1 2024-09-15T18:17:03+00:00 Plants as bioindicator for temperature interpolation purposes : analyzing spatial correlation between botany based index of thermophily and integrated temperature characteristics Joly, Daniel Nilsen, Lennart Brossard, Thierry Elvebakk, Arve 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) University of Tromsø (UiT) 2010 https://hal.science/hal-00731635 https://doi.org/10.1016/j.ecolind.2010.02.007 en eng HAL CCSD Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolind.2010.02.007 hal-00731635 https://hal.science/hal-00731635 doi:10.1016/j.ecolind.2010.02.007 ISSN: 1470-160X EISSN: 1872-7034 Ecological Indicators https://hal.science/hal-00731635 Ecological Indicators, 2010, 10 (5), pp.990-998. ⟨10.1016/j.ecolind.2010.02.007⟩ Index of thermophily Modelling Bioclimatology Geographical information system Digital elevation model Arctic Svalbard [SHS.GEO]Humanities and Social Sciences/Geography info:eu-repo/semantics/article Journal articles 2010 ftunivbourgogne https://doi.org/10.1016/j.ecolind.2010.02.007 2024-07-08T23:45:11Z International audience The success of interpolation techniques relies heavily on the density and regularity of field reference data points. For instance temperature interpolations in the Arctic are hampered by few and scattered meteorological stations. The major objective of this study is to analyze the spatial relationship between plants, defined in terms of an index of thermophily (It) and temperature distribution. The study area is located in Kongsfjorden, northwest Spitsbergen (Svalbard). A systematic recording of floristic data covering the study area was made within quadrates of 1 km × 1 km (93 units). For each of them, the It was calculated. It provides a synthetic measure by which plants are taken as temperature indicators at a long time scale. Temperature values were recorded by means of 39 temperature loggers during the summer 2000. The model for spatial interpolation of temperature was developed using multiple regression of remote sensed data (Landsat TM) and topographical features derived from a digital elevation model (DEM). Continuous temperature layers were calculated at a spatial resolution of 50 m × 50 m, and aggregated to a resolution of 1 km × 1 km in order to correspond with the observed botanical units. Different maps were produced showing spatial distribution of the modelled temperature and It. Correlations between the It and temperature values derived from the modelled temperature layers were systematically explored. Correlation between the It and temperatures works well as standard deviation of residues is 0.7 °C only. Highest correlations (r) of It and the spatial distribution of temperature were obtained for: (a) maximum average temperature for August, excluding all areas higher than 100 m above sea level (0.75), (b) average daily maximum temperature for July-October (0.67), (c) average temperature for July and August (0.64, 0.65), and (d) when temperature range is >8 °C (0.55). Areas with low correlations between It and temperature were mainly attributed to the fact that these ... Article in Journal/Newspaper Kongsfjord* Kongsfjorden Svalbard Spitsbergen Université de Bourgogne (UB): HAL Ecological Indicators 10 5 990 998 |
institution |
Open Polar |
collection |
Université de Bourgogne (UB): HAL |
op_collection_id |
ftunivbourgogne |
language |
English |
topic |
Index of thermophily Modelling Bioclimatology Geographical information system Digital elevation model Arctic Svalbard [SHS.GEO]Humanities and Social Sciences/Geography |
spellingShingle |
Index of thermophily Modelling Bioclimatology Geographical information system Digital elevation model Arctic Svalbard [SHS.GEO]Humanities and Social Sciences/Geography Joly, Daniel Nilsen, Lennart Brossard, Thierry Elvebakk, Arve Plants as bioindicator for temperature interpolation purposes : analyzing spatial correlation between botany based index of thermophily and integrated temperature characteristics |
topic_facet |
Index of thermophily Modelling Bioclimatology Geographical information system Digital elevation model Arctic Svalbard [SHS.GEO]Humanities and Social Sciences/Geography |
description |
International audience The success of interpolation techniques relies heavily on the density and regularity of field reference data points. For instance temperature interpolations in the Arctic are hampered by few and scattered meteorological stations. The major objective of this study is to analyze the spatial relationship between plants, defined in terms of an index of thermophily (It) and temperature distribution. The study area is located in Kongsfjorden, northwest Spitsbergen (Svalbard). A systematic recording of floristic data covering the study area was made within quadrates of 1 km × 1 km (93 units). For each of them, the It was calculated. It provides a synthetic measure by which plants are taken as temperature indicators at a long time scale. Temperature values were recorded by means of 39 temperature loggers during the summer 2000. The model for spatial interpolation of temperature was developed using multiple regression of remote sensed data (Landsat TM) and topographical features derived from a digital elevation model (DEM). Continuous temperature layers were calculated at a spatial resolution of 50 m × 50 m, and aggregated to a resolution of 1 km × 1 km in order to correspond with the observed botanical units. Different maps were produced showing spatial distribution of the modelled temperature and It. Correlations between the It and temperature values derived from the modelled temperature layers were systematically explored. Correlation between the It and temperatures works well as standard deviation of residues is 0.7 °C only. Highest correlations (r) of It and the spatial distribution of temperature were obtained for: (a) maximum average temperature for August, excluding all areas higher than 100 m above sea level (0.75), (b) average daily maximum temperature for July-October (0.67), (c) average temperature for July and August (0.64, 0.65), and (d) when temperature range is >8 °C (0.55). Areas with low correlations between It and temperature were mainly attributed to the fact that these ... |
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) University of Tromsø (UiT) |
format |
Article in Journal/Newspaper |
author |
Joly, Daniel Nilsen, Lennart Brossard, Thierry Elvebakk, Arve |
author_facet |
Joly, Daniel Nilsen, Lennart Brossard, Thierry Elvebakk, Arve |
author_sort |
Joly, Daniel |
title |
Plants as bioindicator for temperature interpolation purposes : analyzing spatial correlation between botany based index of thermophily and integrated temperature characteristics |
title_short |
Plants as bioindicator for temperature interpolation purposes : analyzing spatial correlation between botany based index of thermophily and integrated temperature characteristics |
title_full |
Plants as bioindicator for temperature interpolation purposes : analyzing spatial correlation between botany based index of thermophily and integrated temperature characteristics |
title_fullStr |
Plants as bioindicator for temperature interpolation purposes : analyzing spatial correlation between botany based index of thermophily and integrated temperature characteristics |
title_full_unstemmed |
Plants as bioindicator for temperature interpolation purposes : analyzing spatial correlation between botany based index of thermophily and integrated temperature characteristics |
title_sort |
plants as bioindicator for temperature interpolation purposes : analyzing spatial correlation between botany based index of thermophily and integrated temperature characteristics |
publisher |
HAL CCSD |
publishDate |
2010 |
url |
https://hal.science/hal-00731635 https://doi.org/10.1016/j.ecolind.2010.02.007 |
genre |
Kongsfjord* Kongsfjorden Svalbard Spitsbergen |
genre_facet |
Kongsfjord* Kongsfjorden Svalbard Spitsbergen |
op_source |
ISSN: 1470-160X EISSN: 1872-7034 Ecological Indicators https://hal.science/hal-00731635 Ecological Indicators, 2010, 10 (5), pp.990-998. ⟨10.1016/j.ecolind.2010.02.007⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolind.2010.02.007 hal-00731635 https://hal.science/hal-00731635 doi:10.1016/j.ecolind.2010.02.007 |
op_doi |
https://doi.org/10.1016/j.ecolind.2010.02.007 |
container_title |
Ecological Indicators |
container_volume |
10 |
container_issue |
5 |
container_start_page |
990 |
op_container_end_page |
998 |
_version_ |
1810455041072431104 |