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Published March 7, 2022 | Version v1
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Meteorological responses of carbon dioxide and methane fluxes in the terrestrial and aquatic ecosystems of a subarctic landscape [Data set]

Creators

  • 1. Finnish Meteorological Institute, Helsinki, Finland
  • 2. Department of Environmental Sciences, University of Helsinki, Finland and Natural Resources Institute Finland (LUKE), Helsinki, Finland
  • 3. Department of Environmental Sciences, University of Helsinki, Finland
  • 4. Department of Environmental Sciences, University of Helsinki, Finland and University of Eastern Finland, Joensuu, Finland

Contributors

  • 1. Finnish Meteorological Institute, Helsinki, Finland
  • 2. Department of Environmental Sciences, University of Helsinki, Finland and Natural Resources Institute Finland (LUKE), Helsinki, Finland
  • 3. University of Helsinki

Description

The data set contains carbon dioxide (CO2) and methane (CH4) fluxes of boreal subarctic landscape and its ecosystems and ecotones, and ancillary meteorological and environmental data, measured at Kaamanen, northern Finland (69°8’ N, 27°16’ E; 155 m a.s.l.), during June 2017 - June 2019. The studied ecosystems and ecotones include: upland pine forest, fen, treed pine bog, sparsely treed pine bog, lakes and string top fen plant community.

C_fluxes1_Heiskanen_et_al_2022.csv includes quality screened, u* filtered and gap-filled eddy covariance ecosystem flux data, temporally and area weighted average lake chamber fluxes and modelled pine bog and string top time series utilising eddy covariance and manual flux chamber measurements.

C_fluxes2_Heiskanen_et_al_2022.csv includes quality screened daily average lake fluxes from mineral and organic sediment lakes.

environmental_data_Heiskanen_et_al_2022.xlsx includes ancillary meteorological and environmental data.

Notes

This work was supported by the Finnish Meteorological Institute, the University of Helsinki, the Natural Resources Institute Finland, the University of Eastern Finland and the Academy of Finland CAPTURE-project (Carbon dynamics across Arctic landscape gradients: past, present and future) grant (no. 296423).

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Heiskanen_et_al_2022_data.zip

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