Abisko soil respiration dataset
This dataset was used in the manuscript "Predicting Soil Respiration from Plant Productivity (NDVI) in a Sub-Arctic Tundra Ecosystem". The goal of the project was to ascertain if we could measure soil respiration remotely (i.e. using remote sensing, for example using an UAV- Unmanned Aeria...
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University of Stirling. Faculty of Natural Sciences
2021
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Online Access: | http://hdl.handle.net/11667/180 |
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ftunivstirlingrd:oai:datastorre.stir.ac.uk:11667/180 2023-05-15T12:59:22+02:00 Abisko soil respiration dataset Will more productive Arctic ecosystems sequester less soil carbon? A key role for priming in the rhizosphere ("PRIME-TIME") Azevedo, Olivia NERC - Natural Environment Research Council Altajir Trust scholarship olivia.azevedo@stir.ac.uk University of Stirling (Biological and Environmental Sciences) Azevedo, Olivia Stirlingshire 2021 http://hdl.handle.net/11667/180 unknown University of Stirling. Faculty of Natural Sciences Azevedo, O (2021): Abisko soil respiration dataset. University of Stirling. Faculty of Natural Sciences. Dataset. http://hdl.handle.net/11667/180 Azevedo, O.; Parker, T.C.; Siewert, M.B.; Subke, J.-A. Predicting Soil Respiration from Plant Productivity (NDVI) in a Sub-Arctic Tundra Ecosystem. Remote Sens. 2021, 13, 2571. https://doi.org/10.3390/rs13132571. Available from: http://hdl.handle.net/1893/32839 http://hdl.handle.net/11667/180 NE/P002722/1 NE/P002722/2 422566 420810 Rights covered by the standard CC-BY 4.0 licence: https://creativecommons.org/licenses/by/4.0/ CC-BY ::Plant and crop science::Plant responses to environment ::Plant and crop science::Environmental Physiology dataset 2021 ftunivstirlingrd https://doi.org/10.3390/rs13132571 2022-02-27T19:30:37Z This dataset was used in the manuscript "Predicting Soil Respiration from Plant Productivity (NDVI) in a Sub-Arctic Tundra Ecosystem". The goal of the project was to ascertain if we could measure soil respiration remotely (i.e. using remote sensing, for example using an UAV- Unmanned Aerial Vehicle). Measurements of soil temperature, NDVI and CO2 efflux were conducted in July 2018 in Abisko, Northern Sweden as part of an undergraduate project. Soil cores were collected and analysed for moisture, organic matter/carbon and root biomass. The dataset consists of the average values for soil temperature (‘Temperature’), normalized difference vegetation index (‘NDVI’), leaf area index (‘LAI’), soil respiration (‘Rs’), soil moisture (‘Moisture’), organic matter in the organic horizon (‘OM.org’), carbon in the organic horizon (‘C.Org’) and fine root biomass (‘Roots’). Furthermore, the data indicate where these measurements were made (Blocks 1-4), ‘Community’ i.e. type of plant functional type (B= B. nana, E= E. nigrum, L= Lichen, W= Willow) and level of greenness as ascertain visually from low (‘L’), medium (‘M’) and high (‘H’). ‘Collar’ refers to the location of where the infra-red gas analyser was placed for the repeated measurements of CO2 efflux. Dataset Abisko Arctic Arctic Northern Sweden Tundra University of Stirling: DataSTORRE (Stirling Online Repository for Research Data) Abisko ENVELOPE(18.829,18.829,68.349,68.349) Arctic |
institution |
Open Polar |
collection |
University of Stirling: DataSTORRE (Stirling Online Repository for Research Data) |
op_collection_id |
ftunivstirlingrd |
language |
unknown |
topic |
::Plant and crop science::Plant responses to environment ::Plant and crop science::Environmental Physiology |
spellingShingle |
::Plant and crop science::Plant responses to environment ::Plant and crop science::Environmental Physiology Azevedo, Olivia Abisko soil respiration dataset |
topic_facet |
::Plant and crop science::Plant responses to environment ::Plant and crop science::Environmental Physiology |
description |
This dataset was used in the manuscript "Predicting Soil Respiration from Plant Productivity (NDVI) in a Sub-Arctic Tundra Ecosystem". The goal of the project was to ascertain if we could measure soil respiration remotely (i.e. using remote sensing, for example using an UAV- Unmanned Aerial Vehicle). Measurements of soil temperature, NDVI and CO2 efflux were conducted in July 2018 in Abisko, Northern Sweden as part of an undergraduate project. Soil cores were collected and analysed for moisture, organic matter/carbon and root biomass. The dataset consists of the average values for soil temperature (‘Temperature’), normalized difference vegetation index (‘NDVI’), leaf area index (‘LAI’), soil respiration (‘Rs’), soil moisture (‘Moisture’), organic matter in the organic horizon (‘OM.org’), carbon in the organic horizon (‘C.Org’) and fine root biomass (‘Roots’). Furthermore, the data indicate where these measurements were made (Blocks 1-4), ‘Community’ i.e. type of plant functional type (B= B. nana, E= E. nigrum, L= Lichen, W= Willow) and level of greenness as ascertain visually from low (‘L’), medium (‘M’) and high (‘H’). ‘Collar’ refers to the location of where the infra-red gas analyser was placed for the repeated measurements of CO2 efflux. |
author2 |
NERC - Natural Environment Research Council Altajir Trust scholarship olivia.azevedo@stir.ac.uk University of Stirling (Biological and Environmental Sciences) Azevedo, Olivia |
format |
Dataset |
author |
Azevedo, Olivia |
author_facet |
Azevedo, Olivia |
author_sort |
Azevedo, Olivia |
title |
Abisko soil respiration dataset |
title_short |
Abisko soil respiration dataset |
title_full |
Abisko soil respiration dataset |
title_fullStr |
Abisko soil respiration dataset |
title_full_unstemmed |
Abisko soil respiration dataset |
title_sort |
abisko soil respiration dataset |
publisher |
University of Stirling. Faculty of Natural Sciences |
publishDate |
2021 |
url |
http://hdl.handle.net/11667/180 |
op_coverage |
Stirlingshire |
long_lat |
ENVELOPE(18.829,18.829,68.349,68.349) |
geographic |
Abisko Arctic |
geographic_facet |
Abisko Arctic |
genre |
Abisko Arctic Arctic Northern Sweden Tundra |
genre_facet |
Abisko Arctic Arctic Northern Sweden Tundra |
op_relation |
Azevedo, O (2021): Abisko soil respiration dataset. University of Stirling. Faculty of Natural Sciences. Dataset. http://hdl.handle.net/11667/180 Azevedo, O.; Parker, T.C.; Siewert, M.B.; Subke, J.-A. Predicting Soil Respiration from Plant Productivity (NDVI) in a Sub-Arctic Tundra Ecosystem. Remote Sens. 2021, 13, 2571. https://doi.org/10.3390/rs13132571. Available from: http://hdl.handle.net/1893/32839 http://hdl.handle.net/11667/180 NE/P002722/1 NE/P002722/2 422566 420810 |
op_rights |
Rights covered by the standard CC-BY 4.0 licence: https://creativecommons.org/licenses/by/4.0/ |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3390/rs13132571 |
_version_ |
1765999439902670848 |