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...
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2021
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Online Access: | https://doi.org/10.3390/rs13132571 https://doaj.org/article/1be560c36c284b2b8480c7b1ece35643 |
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ftdoajarticles:oai:doaj.org/article:1be560c36c284b2b8480c7b1ece35643 2023-05-15T12:59:38+02:00 Predicting Soil Respiration from Plant Productivity (NDVI) in a Sub-Arctic Tundra Ecosystem Olivia Azevedo Thomas C. Parker Matthias B. Siewert Jens-Arne Subke 2021-06-01T00:00:00Z https://doi.org/10.3390/rs13132571 https://doaj.org/article/1be560c36c284b2b8480c7b1ece35643 EN eng MDPI AG https://www.mdpi.com/2072-4292/13/13/2571 https://doaj.org/toc/2072-4292 doi:10.3390/rs13132571 2072-4292 https://doaj.org/article/1be560c36c284b2b8480c7b1ece35643 Remote Sensing, Vol 13, Iss 2571, p 2571 (2021) Abisko CO 2 flux LAI modelling plant functional type SOC Science Q article 2021 ftdoajarticles https://doi.org/10.3390/rs13132571 2022-12-31T09:47:50Z 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 CO 2 from this C-rich ecosystem. Monitoring soil respiration (R s ) 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 R s 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 = 0.202e 3.508 x , p < 0.001). Our results further suggest that NDVI and soil temperature can help predict R s 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 Directory of Open Access Journals: DOAJ Articles Abisko ENVELOPE(18.829,18.829,68.349,68.349) Arctic Remote Sensing 13 13 2571 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Abisko CO 2 flux LAI modelling plant functional type SOC Science Q |
spellingShingle |
Abisko CO 2 flux LAI modelling plant functional type SOC Science Q Olivia Azevedo Thomas C. Parker Matthias B. Siewert Jens-Arne Subke Predicting Soil Respiration from Plant Productivity (NDVI) in a Sub-Arctic Tundra Ecosystem |
topic_facet |
Abisko CO 2 flux LAI modelling plant functional type SOC Science Q |
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 CO 2 from this C-rich ecosystem. Monitoring soil respiration (R s ) 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 R s 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 = 0.202e 3.508 x , p < 0.001). Our results further suggest that NDVI and soil temperature can help predict R s 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 |
Olivia Azevedo Thomas C. Parker Matthias B. Siewert Jens-Arne Subke |
author_facet |
Olivia Azevedo Thomas C. Parker Matthias B. Siewert Jens-Arne Subke |
author_sort |
Olivia Azevedo |
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 |
MDPI AG |
publishDate |
2021 |
url |
https://doi.org/10.3390/rs13132571 https://doaj.org/article/1be560c36c284b2b8480c7b1ece35643 |
long_lat |
ENVELOPE(18.829,18.829,68.349,68.349) |
geographic |
Abisko Arctic |
geographic_facet |
Abisko Arctic |
genre |
Abisko Arctic Tundra |
genre_facet |
Abisko Arctic Tundra |
op_source |
Remote Sensing, Vol 13, Iss 2571, p 2571 (2021) |
op_relation |
https://www.mdpi.com/2072-4292/13/13/2571 https://doaj.org/toc/2072-4292 doi:10.3390/rs13132571 2072-4292 https://doaj.org/article/1be560c36c284b2b8480c7b1ece35643 |
op_doi |
https://doi.org/10.3390/rs13132571 |
container_title |
Remote Sensing |
container_volume |
13 |
container_issue |
13 |
container_start_page |
2571 |
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1766064627600326656 |