Predicting Soil Respiration from Plant Productivity (NDVI) in a Sub-Arctic Tundra Ecosystem
Soils represent the largest store of carbon in the biosphere with soils at high latitudes containing twice as much carbon (C) than the atmosphere. High latitude tundra vegetation communities show increases in the relative abundance and cover of deciduous shrubs which may influence net ecosystem exch...
Published in: | Remote Sensing |
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Umeå universitet, Institutionen för ekologi, miljö och geovetenskap
2021
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-187465 https://doi.org/10.3390/rs13132571 |
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ftumeauniv:oai:DiVA.org:umu-187465 2023-10-09T21:43:56+02:00 Predicting Soil Respiration from Plant Productivity (NDVI) in a Sub-Arctic Tundra Ecosystem Azevedo, Olivia Parker, Thomas C. Siewert, Matthias B. Subke, Jens-Arne 2021 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-187465 https://doi.org/10.3390/rs13132571 eng eng Umeå universitet, Institutionen för ekologi, miljö och geovetenskap Remote Sensing, 2021, 13:13, orcid:0000-0003-2890-8873 http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-187465 doi:10.3390/rs13132571 ISI:000671075500001 Scopus 2-s2.0-85109825895 info:eu-repo/semantics/openAccess Abisko CO2 flux LAI modelling plant functional type SOC vegetation index Ecology Ekologi Climate Research Klimatforskning Article in journal info:eu-repo/semantics/article text 2021 ftumeauniv https://doi.org/10.3390/rs13132571 2023-09-22T14:00:59Z Soils represent the largest store of carbon in the biosphere with soils at high latitudes containing twice as much carbon (C) than the atmosphere. High latitude tundra vegetation communities show increases in the relative abundance and cover of deciduous shrubs which may influence net ecosystem exchange of CO2 from this C-rich ecosystem. Monitoring soil respiration (Rs) as a crucial component of the ecosystem carbon balance at regional scales is difficult given the remoteness of these ecosystems and the intensiveness of measurements that is required. Here we use direct measurements of Rs from contrasting tundra plant communities combined with direct measurements of aboveground plant productivity via Normalised Difference Vegetation Index (NDVI) to predict soil respiration across four key vegetation communities in a tundra ecosystem. Soil respiration exhibited a nonlinear relationship with NDVI (y = 0.202e3.508x, p < 0.001). Our results further suggest that NDVI and soil temperature can help predict Rs if vegetation type is taken into consideration. We observed, however, that NDVI is not a relevant explanatory variable in the estimation of SOC in a single-study analysis. Article in Journal/Newspaper Abisko Arctic Tundra Umeå University: Publications (DiVA) Arctic Abisko ENVELOPE(18.829,18.829,68.349,68.349) Remote Sensing 13 13 2571 |
institution |
Open Polar |
collection |
Umeå University: Publications (DiVA) |
op_collection_id |
ftumeauniv |
language |
English |
topic |
Abisko CO2 flux LAI modelling plant functional type SOC vegetation index Ecology Ekologi Climate Research Klimatforskning |
spellingShingle |
Abisko CO2 flux LAI modelling plant functional type SOC vegetation index Ecology Ekologi Climate Research Klimatforskning Azevedo, Olivia Parker, Thomas C. Siewert, Matthias B. Subke, Jens-Arne Predicting Soil Respiration from Plant Productivity (NDVI) in a Sub-Arctic Tundra Ecosystem |
topic_facet |
Abisko CO2 flux LAI modelling plant functional type SOC vegetation index Ecology Ekologi Climate Research Klimatforskning |
description |
Soils represent the largest store of carbon in the biosphere with soils at high latitudes containing twice as much carbon (C) than the atmosphere. High latitude tundra vegetation communities show increases in the relative abundance and cover of deciduous shrubs which may influence net ecosystem exchange of CO2 from this C-rich ecosystem. Monitoring soil respiration (Rs) as a crucial component of the ecosystem carbon balance at regional scales is difficult given the remoteness of these ecosystems and the intensiveness of measurements that is required. Here we use direct measurements of Rs from contrasting tundra plant communities combined with direct measurements of aboveground plant productivity via Normalised Difference Vegetation Index (NDVI) to predict soil respiration across four key vegetation communities in a tundra ecosystem. Soil respiration exhibited a nonlinear relationship with NDVI (y = 0.202e3.508x, p < 0.001). Our results further suggest that NDVI and soil temperature can help predict Rs if vegetation type is taken into consideration. We observed, however, that NDVI is not a relevant explanatory variable in the estimation of SOC in a single-study analysis. |
format |
Article in Journal/Newspaper |
author |
Azevedo, Olivia Parker, Thomas C. Siewert, Matthias B. Subke, Jens-Arne |
author_facet |
Azevedo, Olivia Parker, Thomas C. Siewert, Matthias B. Subke, Jens-Arne |
author_sort |
Azevedo, Olivia |
title |
Predicting Soil Respiration from Plant Productivity (NDVI) in a Sub-Arctic Tundra Ecosystem |
title_short |
Predicting Soil Respiration from Plant Productivity (NDVI) in a Sub-Arctic Tundra Ecosystem |
title_full |
Predicting Soil Respiration from Plant Productivity (NDVI) in a Sub-Arctic Tundra Ecosystem |
title_fullStr |
Predicting Soil Respiration from Plant Productivity (NDVI) in a Sub-Arctic Tundra Ecosystem |
title_full_unstemmed |
Predicting Soil Respiration from Plant Productivity (NDVI) in a Sub-Arctic Tundra Ecosystem |
title_sort |
predicting soil respiration from plant productivity (ndvi) in a sub-arctic tundra ecosystem |
publisher |
Umeå universitet, Institutionen för ekologi, miljö och geovetenskap |
publishDate |
2021 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-187465 https://doi.org/10.3390/rs13132571 |
long_lat |
ENVELOPE(18.829,18.829,68.349,68.349) |
geographic |
Arctic Abisko |
geographic_facet |
Arctic Abisko |
genre |
Abisko Arctic Tundra |
genre_facet |
Abisko Arctic Tundra |
op_relation |
Remote Sensing, 2021, 13:13, orcid:0000-0003-2890-8873 http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-187465 doi:10.3390/rs13132571 ISI:000671075500001 Scopus 2-s2.0-85109825895 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.3390/rs13132571 |
container_title |
Remote Sensing |
container_volume |
13 |
container_issue |
13 |
container_start_page |
2571 |
_version_ |
1779317957986353152 |