| Title: | A comparative study of analytical methodologies to determine the soil organic matter content of Lithuanian Eutric Albeluvisols |
| Authors: | Jankauskas, Benediktas Slepetiene, Alvyra Jankauskiene, Genovaite Fullen, Michael A. Booth, Colin A. |
| Citation: | Geoderma 136: 763–773 |
| Journal: | Geoderma |
| Issue Date: | 2006 |
| URI: | http://hdl.handle.net/2436/132960 |
| Additional Links: | http://www.swetswise.com/link/access_db?issn=0016-7061&mode=A_MLL |
| Abstract: | Large archive databases of soil organic matter (SOM) widely exist in Lithuania and the other countries of Central and Eastern
Europe. Despite the demise of the former Soviet Union over 16 years ago, and Lithuania's integration as a full European Union
state, difficulties of SOM data acceptance remain where these results are presented for publication in international journals, due to
methodological differences between laboratory protocols. Therefore, the scientific pilot project ‘Carbon sequestration in Lithuanian
soils’, supported by the Leverhulme Trust (U.K.), included an objective to correlate soil carbon methodologies, using Lithuanian
Eutric Albeluvisols. A comparison of SOM content data acquired using five different analytical methods is reported. The research
programme included a specific objective to correlate analytical methods for SOM analyses. A total of 92 Eutric Albeluvisol
samples were collected from topsoil (0–0.2 m: Ap, n=36; Ah, n=10) and subsoil (0.2–0.4 m: Bt, n=46) horizons of 46 long-term
experimental field plots at the Kaltinenai Research Station of the Lithuanian Institute of Agriculture. Each sample was then subsampled
and analysed for SOM using dry combustion (by automatic elemental analyser), Walkley–Black (USDA), Tyurin
photometrical, Tyurin titrimetrical and loss-on-ignition (LoI) methods (the later performed, in parallel, in both Lithuania and U.K.
laboratories). Linear correlation and paired regression equations were calculated. Correlation coefficients between the sets of results
varied between r=0.81–0.96 (from 0–0.2 m, n=46, P<0.001) and r=0.76–0.98 (from 0.2–0.4 m, n=46, P<0.001). Based on
the strength and significance of these relationships, it is proposed that simple linear or more complex paired regression equations
can be confidently employed to recalculate SOM data between various analytical methodologies. Future work will continue these
investigations on other soil units and environments, hereby enhancing the database. |
| Type: | Article |
| Language: | en |
| Keywords: | Arable soils Soil organic matter Analytical methods Soil particle size Correlation–regression Carbon sequestration |
| ISSN: | 0016-7061 |
| Appears in Collections: | Plant and Environmental Research Group
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