TY - JOUR
T1 - How reliable is the Walkley-Black method for analyzing carbon-poor, semi-arid soils in Ethiopia?
AU - Gessesse, Tigist Araya
AU - Khamzina, Asia
N1 - Funding Information:
This work was supported by the German Academic Exchange Service (DAAD), Germany . We thank Yemane Welday, Tesfay Berihu, Mulugeta Sbhatleab, Askual Weldu, Negasi Solomon, and Angelika Glogau for their support during field and laboratory work.
Publisher Copyright:
© 2018 Elsevier Ltd
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/6
Y1 - 2018/6
N2 - Soil degradation in sub-Saharan Africa necessitates accurate soil carbon quantification using a locally applicable method. We assessed the reliability of the original Walkley-Black method for analyzing soil organic carbon (SOC) in semi-arid soils in northern Ethiopia characterized by low SOC (1.3 ± 0.09%) and lack of carbonates. Eighty samples from entire soil profiles were collected in four prevalent land use systems along an elevation gradient and analyzed using the Walkley-Black method and CN elemental analyzer. The results were compared by linear regression analysis followed by the Bland and Altman analysis, eliminating the possible bias of regression. The analyses demonstrated the universal applicability of the Walkley-Black method using the standard correction factor (1.32) for SOC evaluation in carbon-poor, non-calcareous soils.
AB - Soil degradation in sub-Saharan Africa necessitates accurate soil carbon quantification using a locally applicable method. We assessed the reliability of the original Walkley-Black method for analyzing soil organic carbon (SOC) in semi-arid soils in northern Ethiopia characterized by low SOC (1.3 ± 0.09%) and lack of carbonates. Eighty samples from entire soil profiles were collected in four prevalent land use systems along an elevation gradient and analyzed using the Walkley-Black method and CN elemental analyzer. The results were compared by linear regression analysis followed by the Bland and Altman analysis, eliminating the possible bias of regression. The analyses demonstrated the universal applicability of the Walkley-Black method using the standard correction factor (1.32) for SOC evaluation in carbon-poor, non-calcareous soils.
KW - Bland and Altman analysis
KW - CN analyzer
KW - Leptosol
KW - Soil organic carbon (SOC)
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U2 - 10.1016/j.jaridenv.2018.01.008
DO - 10.1016/j.jaridenv.2018.01.008
M3 - Article
AN - SCOPUS:85041635373
VL - 153
SP - 98
EP - 101
JO - Journal of Arid Environments
JF - Journal of Arid Environments
SN - 0140-1963
ER -