Predicting Soil Organic Carbon Mineralization Rates Using δ13C, Assessed by Near-Infrared Spectroscopy, in Depth Profiles Under Permanent Grassland Along a Latitudinal Transect in Chile-Reference-Cited by-同舟云学术

Predicting Soil Organic Carbon Mineralization Rates Using δ13C, Assessed by Near-Infrared Spectroscopy, in Depth Profiles Under Permanent Grassland Along a Latitudinal Transect in Chile

Published:2022-02-22 Issue:2 Volume:22 Page:2105-2117
ISSN:0718-9508
Container-title:Journal of Soil Science and Plant Nutrition
language:en
Short-container-title:J Soil Sci Plant Nutr

Author:

Marcela Hidalgo,de los Ángeles Sepulveda María,Muñoz Cristina,Casanova Manuel,Wasner Daniel,Bodé Samuel,Doetterl Sebastian,Boeckx Pascal,Zagal Erick^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Plant Science,Soil Science,Agronomy and Crop Science

Link

https://link.springer.com/content/pdf/10.1007/s42729-022-00797-w.pdf

Reference68 articles.

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2. Accoe F, Boeckx P, Cleemput OV, Hofman G (2003) Relationship between soil organic C degradability and the evolution of the δ13C signature in profiles under permanent grassland. Rapid Commun Mass Spectrom 17(23):2591–2596. https://doi.org/10.1002/rcm.1202

3. Acton P, Fox J, Campbell E, Rowe H, Wilkinson M (2013) Carbon isotopes for estimating soil decomposition and physical mixing in well-drained forest soils. J Geophys Res Biogeosci 118(4):1532–1545

4. Ågren GI, Bosatta E, Balesdent J (1996) Isotope discrimination during decomposition of organic matter: a theoretical analysis. Soil Sci Soc Am J 60:1121–1126. https://doi.org/10.1002/2013JG002400

5. Arora VK, Boer GJ, Friedlingstein P, Eby M, Jones CD, Christian JR, ... Wu T (2013) Carbon–concentration and carbon-climate feedbacks in CMIP5 Earth system models. J Clim 26(15), 5289-5314. https://doi.org/10.1175/JCLI-D-12-00494.1

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