Cited by 326Soil Carbon and Nitrogen DynamicsAgricultural Science and FertilizationPolymer-Based Agricultural Enhancements

Biochar’s role as an alternative N-fertilizer: Ammonia capture

Spokas, Kurt A., Novak, Jeff M., Venterea, Rodney T.·2012·Plant and Soil

Integrity signals

Registry

Crossref · 10.1007/s11104-011-0930-8

Cites

96 of 96 references verified0 citation errors · 0 not checkable

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  • Adsorption of NH3 by black carbon is correlated to the quantity of surface acidic groups on the black carbon.

    “Adsorption of NH 3 by black carbon has been shown to be correlated to the quantity of surface acidic groups on the black carbon (Spokas et al. [85] and references therein).”

    From A Review of Biochar and Soil Nitrogen Dynamics (2013) · cites this paper as [85]

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Authors
Spokas, K. A., Novak, J. M., & Venterea, R. T.
Affiliations
Agricultural Research Service (US)
Corresponding author
Spokas, Kurt A.
Venue
Plant and Soil
Published
2011-08-03
Volume
350
Issue
1-2
Pages
35-42
ISSN
  • 0032-079X (ISSN-L)
  • 1573-5036
OpenAlex
W2167564629
Cited by
326
References
96
Citations by year
2026: 6 · 2025: 25 · 2024: 20 · 2023: 27 · 2022: 27 · 2021: 34 · 2020: 33 · 2019: 25 · 2018: 28 · 2017: 23 · 2016: 16 · 2015: 19 · 2014: 19 · 2013: 18 · 2012: 4
FWCI
19.57
Type
journal article
Language
en
Open access
closed
Locations
Plant and Soil (publishedVersion)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Carbon and Nitrogen Dynamics
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Agricultural Science and Fertilization
  • Physical Sciences › Engineering › Biomedical Engineering › Polymer-Based Agricultural Enhancements
Keywords
biochar, ammonia sorption, nitrogen fertilization, soil amendment, nitrogen cycling, nitrogen sequestration, nitrogen leaching

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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