Articles | Volume 14, issue 4
https://doi.org/10.5194/bg-14-1003-2017
https://doi.org/10.5194/bg-14-1003-2017
Research article
 | 
03 Mar 2017
Research article |  | 03 Mar 2017

Detecting small-scale spatial heterogeneity and temporal dynamics of soil organic carbon (SOC) stocks: a comparison between automatic chamber-derived C budgets and repeated soil inventories

Mathias Hoffmann, Nicole Jurisch, Juana Garcia Alba, Elisa Albiac Borraz, Marten Schmidt, Vytas Huth, Helmut Rogasik, Helene Rieckh, Gernot Verch, Michael Sommer, and Jürgen Augustin

Viewed

Total article views: 2,790 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,425 1,242 123 2,790 290 307
  • HTML: 1,425
  • PDF: 1,242
  • XML: 123
  • Total: 2,790
  • BibTeX: 290
  • EndNote: 307
Views and downloads (calculated since 31 Aug 2016)
Cumulative views and downloads (calculated since 31 Aug 2016)

Viewed (geographical distribution)

Total article views: 2,790 (including HTML, PDF, and XML) Thereof 2,639 with geography defined and 151 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Jun 2024
Download
Short summary
We present a suitable and reliable method to detect short-term and small-scale soil organic carbon stock dynamics (ΔSOC). Spatiotemporal dynamics of ΔSOC are determined for a 5-year study period at the experimental field trial CarboZALF using automatic chamber measurements of NEE and modeled NPPshoot. Results were compared against ΔSOC observed from repeated soil inventories. Both ∆SOC data sets corresponded well regarding their magnitude and spatial tendency.
Altmetrics
Final-revised paper
Preprint