Aboveground biomass patterns across treeless northern landscapes
Aboveground vegetation biomass in northern treeless landscapes - peatlands and Arctic tundra - has been modelled with spectral information derived from optical remote sensing in several studies. However, synthesized overviews of biomass patterns across circumpolar sites have been limited. Based on d...
Published in: | International Journal of Remote Sensing |
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Main Authors: | , , , |
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Format: | Article in Journal/Newspaper |
Language: | English |
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Taylor & Francis
2021
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Online Access: | http://hdl.handle.net/10138/328004 |
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Open Polar |
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HELDA – University of Helsinki Open Repository |
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ftunivhelsihelda |
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English |
topic |
1181 Ecology evolutionary biology |
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1181 Ecology evolutionary biology Räsänen, Aleksi Wagner, Julia Hugelius, Gustaf Virtanen, Tarmo Aboveground biomass patterns across treeless northern landscapes |
topic_facet |
1181 Ecology evolutionary biology |
description |
Aboveground vegetation biomass in northern treeless landscapes - peatlands and Arctic tundra - has been modelled with spectral information derived from optical remote sensing in several studies. However, synthesized overviews of biomass patterns across circumpolar sites have been limited. Based on data from eight study sites in Europe, Siberia and Canada, we ask (1) how biomass is divided between plant functional types (PFTs) and (2) how well biomass patterns can be detected with widely available, moderate spatial resolution (3-10 m) satellite imagery and topographic data. We explain biomass patterns using random forest regressions with the predictors being spectral bands and indices calculated from multi-temporal Sentinel-2 and PlanetScope imagery and topographic information calculated from ArcticDEM data. Our results indicate that there are notable differences in vegetation composition between northern landscapes with mosses, graminoids and deciduous shrubs being the most dominant PFTs. Remote sensing data detects biomass patterns, but regression performance varies between sites (explained variance 36-70%, normalized root mean square error 9-19%). There is also variability between sites whether Sentinel-2 or PlanetScope data is more suitable to detect biomass patterns and which the most important predictors are. Topographic information has a minor or negligible importance in most of the sites. Our results suggest that there is no easily generalizable relationship between satellite-derived vegetation greenness and biomass. Peer reviewed |
author2 |
Ecosystems and Environment Research Programme Tarmo Virtanen / Principal Investigator Environmental Change Research Unit (ECRU) |
format |
Article in Journal/Newspaper |
author |
Räsänen, Aleksi Wagner, Julia Hugelius, Gustaf Virtanen, Tarmo |
author_facet |
Räsänen, Aleksi Wagner, Julia Hugelius, Gustaf Virtanen, Tarmo |
author_sort |
Räsänen, Aleksi |
title |
Aboveground biomass patterns across treeless northern landscapes |
title_short |
Aboveground biomass patterns across treeless northern landscapes |
title_full |
Aboveground biomass patterns across treeless northern landscapes |
title_fullStr |
Aboveground biomass patterns across treeless northern landscapes |
title_full_unstemmed |
Aboveground biomass patterns across treeless northern landscapes |
title_sort |
aboveground biomass patterns across treeless northern landscapes |
publisher |
Taylor & Francis |
publishDate |
2021 |
url |
http://hdl.handle.net/10138/328004 |
geographic |
Arctic Canada |
geographic_facet |
Arctic Canada |
genre |
Arctic Arctic Tundra Siberia |
genre_facet |
Arctic Arctic Tundra Siberia |
op_relation |
10.1080/01431161.2021.1897187 This work was supported by the Academy of Finland [291736,296423]; Horizon 2020 Framework Programme [773421]; European Union Joint Programming Initiative-Climate [COUP]; Svenska Research Council Formas [2014-06417,2018-04516]. This work was supported by the Academy of Finland under Grants 291736 and 296423; Swedish Research Council under Grants 2014-06417 and 2018-04516; the European Union Joint Programming Initiative?Climate COUP project; and the European Union Horizon 2020 Research and Innovation Programme under Grant 773421. We thank Willeke A?Campo, Jani Antila, Luca Durstewitz, Holtti Hakonen, Hanna Hyv?nen, Olivia Kuuri-Riutta, Maria Kr?ger, Maiju Linkosalmi, Johanna Nyman, Justine Ramage, Lauri Rosenius, and Emmi V?h? for field and laboratory assistance. We would also like to thank individuals from the following institutes and organizations for help with different aspects and phases of field campaigns and data collection: Komi Biological Institute in Syktyvkar, Tiksi Observatory and Yakutian Service for Hydrometeorology, The Aurora Research Institute in Inuvik, and Arctic Research Centre of Finnish Meteorological Institute in Sodankyl?. Support in the data analysis and writing phase came from strategic co-operation between University of Helsinki and Stockholm University (Arctic Avenue). Access to PlanetScope data was obtained through the ESA Third Party Missions Planet Call (Project ID 59634). Räsänen , A , Wagner , J , Hugelius , G & Virtanen , T 2021 , ' Aboveground biomass patterns across treeless northern landscapes ' , International Journal of Remote Sensing , vol. 42 , no. 12 , pp. 4536-4561 . https://doi.org/10.1080/01431161.2021.1897187 ORCID: /0000-0002-3629-1837/work/90906437 ORCID: /0000-0001-8660-2464/work/105284727 68512d20-f9c8-43c0-827e-05def40731d6 http://hdl.handle.net/10138/328004 000628018800001 |
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cc_by_nc_nd openAccess info:eu-repo/semantics/openAccess |
container_title |
International Journal of Remote Sensing |
container_volume |
42 |
container_issue |
12 |
container_start_page |
4536 |
op_container_end_page |
4561 |
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ftunivhelsihelda:oai:helda.helsinki.fi:10138/328004 2024-01-07T09:40:45+01:00 Aboveground biomass patterns across treeless northern landscapes Räsänen, Aleksi Wagner, Julia Hugelius, Gustaf Virtanen, Tarmo Ecosystems and Environment Research Programme Tarmo Virtanen / Principal Investigator Environmental Change Research Unit (ECRU) 2021-03-15T11:08:02Z 26 application/pdf http://hdl.handle.net/10138/328004 eng eng Taylor & Francis 10.1080/01431161.2021.1897187 This work was supported by the Academy of Finland [291736,296423]; Horizon 2020 Framework Programme [773421]; European Union Joint Programming Initiative-Climate [COUP]; Svenska Research Council Formas [2014-06417,2018-04516]. This work was supported by the Academy of Finland under Grants 291736 and 296423; Swedish Research Council under Grants 2014-06417 and 2018-04516; the European Union Joint Programming Initiative?Climate COUP project; and the European Union Horizon 2020 Research and Innovation Programme under Grant 773421. We thank Willeke A?Campo, Jani Antila, Luca Durstewitz, Holtti Hakonen, Hanna Hyv?nen, Olivia Kuuri-Riutta, Maria Kr?ger, Maiju Linkosalmi, Johanna Nyman, Justine Ramage, Lauri Rosenius, and Emmi V?h? for field and laboratory assistance. We would also like to thank individuals from the following institutes and organizations for help with different aspects and phases of field campaigns and data collection: Komi Biological Institute in Syktyvkar, Tiksi Observatory and Yakutian Service for Hydrometeorology, The Aurora Research Institute in Inuvik, and Arctic Research Centre of Finnish Meteorological Institute in Sodankyl?. Support in the data analysis and writing phase came from strategic co-operation between University of Helsinki and Stockholm University (Arctic Avenue). Access to PlanetScope data was obtained through the ESA Third Party Missions Planet Call (Project ID 59634). Räsänen , A , Wagner , J , Hugelius , G & Virtanen , T 2021 , ' Aboveground biomass patterns across treeless northern landscapes ' , International Journal of Remote Sensing , vol. 42 , no. 12 , pp. 4536-4561 . https://doi.org/10.1080/01431161.2021.1897187 ORCID: /0000-0002-3629-1837/work/90906437 ORCID: /0000-0001-8660-2464/work/105284727 68512d20-f9c8-43c0-827e-05def40731d6 http://hdl.handle.net/10138/328004 000628018800001 cc_by_nc_nd openAccess info:eu-repo/semantics/openAccess 1181 Ecology evolutionary biology Article publishedVersion 2021 ftunivhelsihelda 2023-12-14T00:12:37Z Aboveground vegetation biomass in northern treeless landscapes - peatlands and Arctic tundra - has been modelled with spectral information derived from optical remote sensing in several studies. However, synthesized overviews of biomass patterns across circumpolar sites have been limited. Based on data from eight study sites in Europe, Siberia and Canada, we ask (1) how biomass is divided between plant functional types (PFTs) and (2) how well biomass patterns can be detected with widely available, moderate spatial resolution (3-10 m) satellite imagery and topographic data. We explain biomass patterns using random forest regressions with the predictors being spectral bands and indices calculated from multi-temporal Sentinel-2 and PlanetScope imagery and topographic information calculated from ArcticDEM data. Our results indicate that there are notable differences in vegetation composition between northern landscapes with mosses, graminoids and deciduous shrubs being the most dominant PFTs. Remote sensing data detects biomass patterns, but regression performance varies between sites (explained variance 36-70%, normalized root mean square error 9-19%). There is also variability between sites whether Sentinel-2 or PlanetScope data is more suitable to detect biomass patterns and which the most important predictors are. Topographic information has a minor or negligible importance in most of the sites. Our results suggest that there is no easily generalizable relationship between satellite-derived vegetation greenness and biomass. Peer reviewed Article in Journal/Newspaper Arctic Arctic Tundra Siberia HELDA – University of Helsinki Open Repository Arctic Canada International Journal of Remote Sensing 42 12 4536 4561 |