Predicting Soil Respiration from Plant Productivity (NDVI) in a Sub-Arctic Tundra Ecosystem

• Published in: Remote Sensing
• Main Authors: Azevedo, Olivia, Parker, Thomas C, Siewert, Matthias B, Subke, Jens-Arne
• Other Authors: NERC Natural Environment Research Council, Biological and Environmental Sciences, Umea University, orcid:0000-0002-6220-8865, orcid:0000-0002-3648-5316, orcid:0000-0001-9244-639X
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI 2021
• Subjects: Abisko; CO2 flux; LAI; modelling; plant functional type; SOC; vegetation index; Arctic; Tundra
• Online Access: http://hdl.handle.net/1893/32839; https://doi.org/10.3390/rs13132571; http://dspace.stir.ac.uk/bitstream/1893/32839/1/remotesensing-13-02571.pdf

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...