Spatial variation and linkages of soil and vegetation in the Siberian Arctic tundra – coupling field observations with remote sensing data

Mikola, Juha; Virtanen, Tarmo; Linkosalmi, Maiju; Vähä, Emmi; Nyman, Johanna; Postanogova, Olga; Räsänen, Aleksi; Kotze, D. Johan; Laurila, Tuomas; Juutinen, Sari; Kondratyev, Vladimir; Aurela, Mika

doi:https://doi.org/10.5194/bg-15-2781-2018

Articles | Volume 15, issue 9

https://doi.org/10.5194/bg-15-2781-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Changing Permafrost in the Arctic and its Global Effects in...

https://doi.org/10.5194/bg-15-2781-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 9

Research article

|

09 May 2018

Research article |

| 09 May 2018

Spatial variation and linkages of soil and vegetation in the Siberian Arctic tundra – coupling field observations with remote sensing data

Juha Mikola, Tarmo Virtanen, Maiju Linkosalmi, Emmi Vähä, Johanna Nyman, Olga Postanogova, Aleksi Räsänen, D. Johan Kotze, Tuomas Laurila, Sari Juutinen, Vladimir Kondratyev, and Mika Aurela

Supplement

https://doi.org/10.5194/bg-15-2781-2018-supplement

Data sets

Data from: Spatial variation and linkages of soil and vegetation in the Siberian Arctic tundra – coupling field observations with remote sensing data J. Mikola, T. Virtanen, M. Linkosalmi, E. Vähä, J. Nyman, O. Postanogova, A. Räsänen, D. J. Kotze, T. Laurila, S. Juutinen, V. Kondratyev, and M. Aurela https://doi.org/10.5061/dryad.8382j4r

Download

Article (3397 KB)
Full-text XML

Short summary

To support C exchange measurements, we examined plant and soil attributes in Siberian Arctic tundra. Our results illustrate a typical tundra ecosystem with great spatial variation. Mosses dominate plant biomass and control many soil attributes such as temperature, but variation in moss biomass is difficult to capture by remote sensing. This indicates challenges in spatial extrapolation of some of those plant and soil attributes that are relevant for regional ecosystem and global climate models.