We analysed the carbon dioxide fluxes from vegetation, measured by portable flux chambers, and several meteo-climatic and environmental variables obtained during six summer campaigns at two different sites in the High-Arctic tundra in the Bayelva basin near Ny Ålesund, Svalbard, during the period 2019–2025. The two sites have similar climatic conditions and vegetation cover, in terms of species distribution and abundance, but different distance from the glaciers. The measured fluxes provided information on Net Ecosystem Exchange (NEE), Ecosystem Respiration (ER) and Gross Primary Production (GPP) on 674 single measurement points. A single statistical, data-driven model on the whole dataset explained up to 53% of the variance of the data for ER, and 67% of the variance for GPP. Besides the classic dependences on soil temperature for ER and solar irradiance for GPP, the main drivers were found to be Green Fractional Cover and soil Volumetric Water Content. Site-specific modelling revealed limited differences between the two sites, while interannual variability was more consistent.

Identification of carbon dioxide flux drivers in a High Arctic tundra environment

Forni P.
Membro del Collaboration Group
;
Giamberini M.
Conceptualization
;
Magnani M.
Methodology
;
Provenzale A.
Conceptualization
;
Marta S.
Ultimo
Formal Analysis
2026

Abstract

We analysed the carbon dioxide fluxes from vegetation, measured by portable flux chambers, and several meteo-climatic and environmental variables obtained during six summer campaigns at two different sites in the High-Arctic tundra in the Bayelva basin near Ny Ålesund, Svalbard, during the period 2019–2025. The two sites have similar climatic conditions and vegetation cover, in terms of species distribution and abundance, but different distance from the glaciers. The measured fluxes provided information on Net Ecosystem Exchange (NEE), Ecosystem Respiration (ER) and Gross Primary Production (GPP) on 674 single measurement points. A single statistical, data-driven model on the whole dataset explained up to 53% of the variance of the data for ER, and 67% of the variance for GPP. Besides the classic dependences on soil temperature for ER and solar irradiance for GPP, the main drivers were found to be Green Fractional Cover and soil Volumetric Water Content. Site-specific modelling revealed limited differences between the two sites, while interannual variability was more consistent.
2026
Istituto di Geoscienze e Georisorse - IGG - Sede Pisa
Istituto di Geoscienze e Georisorse - IGG - Sede Secondaria Torino
Istituto di Nanotecnologia - NANOTEC - Sede Bari
Istituto di Geoscienze e Georisorse - IGG - Sede Secondaria Padova
Arctic tundra,
Carbon dioxide fluxes,
Ecosystem Respiration,
Environmental drivers,
Flux chambers,
Gross Primary Production,
Statistical modelling
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/583501
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