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Please use this identifier to cite or link to this item: http://hdl.handle.net/11667/180
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dc.contributorAzevedo, Olivia-
dc.contributor.otherNERC - Natural Environment Research Councilen_GB
dc.contributor.otherAltajir Trust scholarshipen_GB
dc.coverage.spatialStirlingshireen_GB
dc.creatorAzevedo, Olivia-
dc.date.accessioned2021-07-05T09:15:22Z-
dc.date.available2021-07-05T09:15:22Z-
dc.date.created2018-
dc.identifier.urihttp://hdl.handle.net/11667/180-
dc.description.abstractThis 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.en_GB
dc.description.tableofcontentsThe 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.en_GB
dc.publisherUniversity of Stirling. Faculty of Natural Sciencesen_GB
dc.relationAzevedo, O (2021): Abisko soil respiration dataset. University of Stirling. Faculty of Natural Sciences. Dataset. http://hdl.handle.net/11667/180en_GB
dc.relation.isreferencedbyAzevedo, 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/1893/32839en_GB
dc.rightsRights covered by the standard CC-BY 4.0 licence: https://creativecommons.org/licenses/by/4.0/en_GB
dc.subject.classification::Plant and crop science::Plant responses to environmenten_GB
dc.subject.classification::Plant and crop science::Environmental Physiologyen_GB
dc.titleAbisko soil respiration dataseten_GB
dc.typedataseten_GB
dc.contributor.emailolivia.azevedo@stir.ac.uken_GB
dc.identifier.projectidNE/P002722/1en_GB
dc.identifier.projectidNE/P002722/2en_GB
dc.title.projectWill more productive Arctic ecosystems sequester less soil carbon? A key role for priming in the rhizosphere ("PRIME-TIME")en_GB
dc.contributor.affiliationUniversity of Stirling (Biological and Environmental Sciences)en_GB
dc.date.publicationyear2021en_GB
dc.identifier.wtid422566en_GB
dc.identifier.wtid420810en_GB
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