A comparative study of analytical methodologies to determine the soil organic matter content of Lithuanian Eutric Albeluvisols

2.50
Hdl Handle:
http://hdl.handle.net/2436/132960
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.
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.
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
Type:
Article
Language:
en
ISSN:
0016-7061
Appears in Collections:
Plant and Environmental Research Group

Full metadata record

DC FieldValue Language
dc.contributor.authorJankauskas, Benediktasen
dc.contributor.authorSlepetiene, Alvyraen
dc.contributor.authorJankauskiene, Genovaiteen
dc.contributor.authorFullen, Michael A.en
dc.contributor.authorBooth, Colin A.en
dc.date.accessioned2011-06-10T13:35:44Z-
dc.date.available2011-06-10T13:35:44Z-
dc.date.issued2006-
dc.identifier.citationGeoderma 136: 763–773en
dc.identifier.issn0016-7061-
dc.identifier.urihttp://hdl.handle.net/2436/132960-
dc.description.abstractLarge 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.en
dc.language.isoenen
dc.relation.urlhttp://www.swetswise.com/link/access_db?issn=0016-7061&mode=A_MLLen
dc.subjectArable soilsen
dc.subjectSoil organic matteren
dc.subjectAnalytical methodsen
dc.subjectSoil particle sizeen
dc.subjectCorrelation–regressionen
dc.subjectCarbon sequestrationen
dc.titleA comparative study of analytical methodologies to determine the soil organic matter content of Lithuanian Eutric Albeluvisolsen
dc.typeArticleen
dc.identifier.journalGeodermaen
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