Über ergänzende Untersuchungen zu Stoffgruppenanalysen an Moorböden und Sandmischkulturen unterschiedlicher Aufkalkung

Frercks, W.; Puffe, D.

doi:10.1002/jpln.19580830105

Cited by 9 publications

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In contrast, drained peatlands have larger rates of decomposition that correspond with decreasing SOM contents, larger ρ b and smaller total porosities. In addition, humification leads to the enhanced formation of humic substances, which are mainly responsible for the cation exchange (Frercks & Puffe, ; Fischer & Kadner, ). Consequently, CEC changes with the DD (Kuntze, ; Asadi & Huat, ).…”

Section: Introductionmentioning

confidence: 99%

Multi‐scale analysis of electrical conductivity of peatlands for the assessment of peat properties

Walter

Lück

Bauriegel

et al. 2015

European J Soil Science

View full text Add to dashboard Cite

Peatlands store large amounts of carbon. This storage function has been reduced through intensive drainage, which leads to the decomposition of peat, resulting in a loss of carbon. Measurements of the real ( ′ ) and imaginary part ( ′′ ) of electrical conductivity can deliver information on peat properties, such as the pore fluid conductivity ( w ), cation exchange capacity (CEC), bulk density ( b ), water content (WC) and soil organic matter (SOM) content. These properties change with the peat's degree of decomposition (DD). To explore the relationships between the peat properties, ′ , ′′ and DD, we focused on three different types of survey and scales. First, point measurements were made with a conductivity probe at various locations over a large area of northeast Germany to determine the degree of correlation between ′ and DD. Second, nine of these locations were selected for sampling to determine which of the properties w , CEC, b , WC and SOM predominantly influence ′ and ′′ . This multisite dataset includes the entire range of DD and was analysed in the laboratory. Third, one site was selected for a survey of ′ including sampling, to identify which properties mainly control ′ in a single-site approach. Statistical analysis revealed that for the multisite laboratory dataset, w has the strongest effect on ′ , followed by CEC, whereas ′′ is mainly determined by CEC. In a single-site approach, WC followed by CEC had a dominant effect on ′ . No clear correlation could be observed between (i) DD and peat properties and (ii) DD and ′ or ′′ . This is because of the complex changes in properties with increasing DD.

show abstract

Section: Introductionmentioning

confidence: 99%