Assessing Soil Organic Carbon in Soils to Enhance and Track Future Carbon Stocks

dc.contributor.authorYang, Yun-Ya
dc.contributor.authorGoldsmith, Avi
dc.contributor.authorHerold, Ilana
dc.contributor.authorLecha, Sebastian
dc.contributor.authorToor, Gurpal S.
dc.date.accessioned2023-11-09T17:38:12Z
dc.date.available2023-11-09T17:38:12Z
dc.date.issued2020-08-05
dc.description.abstractSoils represent the largest terrestrial sink of carbon (C) on Earth, yet the quantification of the amount of soil organic carbon (SOC) is challenging due to the spatial variability inherent in agricultural soils. Our objective was to use a grid sampling approach to assess the magnitude of SOC variability and determine the current SOC stocks in three typical agricultural fields in Maryland, United States. A selected area in each field (4000 m2) was divided into eight grids (20 m × 25 m) for soil sample collection at three fixed depth intervals (0–20 cm, 20–40 cm, and 40–60 cm). Soil pH in all fields was significantly (p < 0.05) greater in the surface soil layer (6.2–6.4) than lower soil layers (4.7–5.9). The mean SOC stocks in the surface layers (0–20 cm: 1.7–2.5 kg/m2) were 47% to 53% of the total SOC stocks at 0–60 cm depth, and were significantly greater than sub-surface layers (20–40 cm: 0.9–1.3 kg/m2; 40–60 cm: 0.8–0.9 kg/m2). Carbon to nitrogen (C/N) ratio and stable C isotopic composition (δ13C) were used to understand the characteristics of SOC in three fields. The C/N ratio was positively corelated (r > 0.96) with SOC stocks, which were lower in sub-surface than surface layers. Differences in C/N ratios and δ13C signatures were observed among the three fields. The calculated values of SOC stocks at 0–60 cm depth ranged from 37 to 47 Mg/ha and were not significantly different in three fields likely due to the similar parent material, soil types, climate, and a short history of changes in management practices. A small variability (~10% coefficient of variation) in SOC stocks across eight sampling grids in each field suggests that re-sampling these grids in the future can lead to accurately determining and tracking changes in SOC stocks.
dc.description.urihttps://doi.org/10.3390/agronomy10081139
dc.identifierhttps://doi.org/10.13016/dspace/nbyr-wuli
dc.identifier.citationYang, Y.-Y.; Goldsmith, A.; Herold, I.; Lecha, S.; Toor, G.S. Assessing Soil Organic Carbon in Soils to Enhance and Track Future Carbon Stocks. Agronomy 2020, 10, 1139.
dc.identifier.urihttp://hdl.handle.net/1903/31330
dc.language.isoen_US
dc.publisherMDPI
dc.relation.isAvailableAtCollege of Agriculture & Natural Resourcesen_us
dc.relation.isAvailableAtEnvironmental Science & Technologyen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.subjectsoil organic carbon
dc.subjectcarbon sequestration
dc.subjectgrid sampling
dc.subjectagricultural management practices
dc.titleAssessing Soil Organic Carbon in Soils to Enhance and Track Future Carbon Stocks
dc.typeArticle
local.equitableAccessSubmissionNo

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