Differentiating biological and chemical factors of top and deep soil carbon sequestration in semi-arid tropical Inceptisol: an outcome of structural equation modeling

Abstract. Soil organic carbon (SOC) plays a vital role as both a sink for and source of atmospheric carbon. Revegetation of degraded arable land in China is expected to increase soil carbon sequestration, but the role of perennial legumes on soil carbon stocks in semiarid areas has not been quantified. In this study, we assessed the effect of alfalfa (Medicago sativa L.) and two locally adapted forage legumes, bush clover (Lespedeza davurica S.) and milk vetch (Astragalus adsurgens Pall.) on the SOC concentration and SOC stock accumulated annually over a 2 m soil profile. The results showed that the concentration of SOC in the bare soil decreased slightly over the 7 years, while 7 years of legume growth substantially increased the concentration of SOC over the 0–2.0 m soil depth. Over the 7-year growth period the SOC stocks increased by 24.1, 19.9 and 14.6 Mg C ha−1 under the alfalfa, bush clover and milk vetch stands, respectively, and decreased by 4.2 Mg C ha−1 in the bare soil. The sequestration of SOC in the 1–2 m depth of the soil accounted for 79, 68 and 74 % of the SOC sequestered in the 2 m deep soil profile under alfalfa, bush clover and milk vetch, respectively. Conversion of arable land to perennial legume pasture resulted in a significant increase in SOC, particularly at soil depths below 1 m.

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Deep soil inventories reveal that impacts of cover crops and compost on soil carbon sequestration differ in surface and subsurface soils

Global Change Biology ◽

10.1111/gcb.14762 ◽

2019 ◽

Vol 25 (11) ◽

pp. 3753-3766 ◽

Cited By ~ 14

Author(s):

Nicole E. Tautges ◽

Jessica L. Chiartas ◽

Amélie C. M. Gaudin ◽

Anthony T. O'Geen ◽

Israel Herrera ◽

...

Keyword(s):

Carbon Sequestration ◽

Soil Carbon ◽

Cover Crops ◽

Soil Carbon Sequestration ◽

Deep Soil

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Corrigendum to “Soil carbon sequestration potential in semi-arid grasslands in the Conservation Reserve Program” [Geoderma 297 (2017) 80–90]

Geoderma ◽

10.1016/j.geoderma.2017.04.014 ◽

2017 ◽

Vol 301 ◽

pp. 81

Author(s):

Chenhui Li ◽

Lisa M. Fultz ◽

Jennifer Moore-Kucera ◽

Veronica Acosta-Martínez ◽

Juske Horita ◽

...

Keyword(s):

Carbon Sequestration ◽

Soil Carbon ◽

Conservation Reserve Program ◽

Soil Carbon Sequestration ◽

Carbon Sequestration Potential ◽

Sequestration Potential ◽

Arid Grasslands ◽

Semi Arid

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Medicago sativa improves soil carbon sequestration following revegetation of degraded arable land in a semi-arid environment on the Loess Plateau, China

Agriculture Ecosystems & Environment ◽

10.1016/j.agee.2016.07.024 ◽

2016 ◽

Vol 232 ◽

pp. 93-100 ◽

Cited By ~ 12

Author(s):

Zi-Qiang Yuan ◽

Kai-Liang Yu ◽

Xiao-Kang Guan ◽

Chao Fang ◽

Ming Li ◽

...

Keyword(s):

Carbon Sequestration ◽

Medicago Sativa ◽

Soil Carbon ◽

Loess Plateau ◽

Arable Land ◽

Arid Environment ◽

Soil Carbon Sequestration ◽

The Loess Plateau ◽

Semi Arid

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Testing the Assumption of Uncorrelated Errors for Short Scales by Means of Structural Equation Modeling

Journal of Individual Differences ◽

10.1027/1614-0001/a000135 ◽

2014 ◽

Vol 35 (4) ◽

pp. 201-211 ◽

Cited By ~ 3

Author(s):

André Beauducel ◽

Anja Leue

Keyword(s):

Structural Equation Modeling ◽

Negative Correlation ◽

Structural Equation ◽

Error Score ◽

Classical Test Theory ◽

Test Theory ◽

Equation Modeling ◽

Eysenck Personality Questionnaire ◽

Personality Questionnaire ◽

True Score

It is shown that a minimal assumption should be added to the assumptions of Classical Test Theory (CTT) in order to have positive inter-item correlations, which are regarded as a basis for the aggregation of items. Moreover, it is shown that the assumption of zero correlations between the error score estimates is substantially violated in the population of individuals when the number of items is small. Instead, a negative correlation between error score estimates occurs. The reason for the negative correlation is that the error score estimates for different items of a scale are based on insufficient true score estimates when the number of items is small. A test of the assumption of uncorrelated error score estimates by means of structural equation modeling (SEM) is proposed that takes this effect into account. The SEM-based procedure is demonstrated by means of empirical examples based on the Edinburgh Handedness Inventory and the Eysenck Personality Questionnaire-Revised.

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