Quantifying and simulating carbon and nitrogen mineralization from diverse exogenous organic matters-Reference-Cited by-同舟云学术

Quantifying and simulating carbon and nitrogen mineralization from diverse exogenous organic matters

Published:2021-08-31 Issue:1 Volume:38 Page:411-425
ISSN:0266-0032
Container-title:Soil Use and Management
language:en
Short-container-title:Soil Use and Management

Author:

Levavasseur Florent¹^ORCID,Lashermes Gwenaelle²,Mary Bruno³,Morvan Thierry⁴,Nicolardot Bernard⁵,Parnaudeau Virginie⁴,Thuriès Laurent⁶,Houot Sabine¹

Affiliation:

1. UMR ECOSYS, INRAE, AgroParisTech, Université Paris‐Saclay INRAE Thiverval‐Grignon France

2. UMR A 614 FARE, INRAE, Université de Reims Champagne Ardenne INRAE Reims France

3. BioEcoAgro Joint Research Unit, INRAE, Université de Liège, Université de Lille, Université de Picardie Jules Verne INRAE Barenton‐Bugny France

4. UMR SAS, INRAE, Institut Agro INRAE RennesFrance

5. UMR Agroécologie, AgroSup Dijon, INRAE, Université Bourgogne Franche‐Comté AgroSup Dijon Dijon France

6. UPR Recyclage et Risque, Université de Montpellier, CIRAD CIRAD Saint‐Denis, Réunion France

Publisher

Wiley

Subject

Pollution,Soil Science,Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/sum.12745

Reference42 articles.

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2. Quantification of priming and CO2 respiration sources following slurry-C incorporation into two grassland soils with different C content

3. Predicting nitrogen mineralization from organic amendments: beyond C/N ratio by 13C-CPMAS NMR approach

4. Brisson N. Launay M. Mary B. &Beaudoin N.(2008).Conceptual basis formalisations and parameterization of the STICS crop model (Editions Quae).

5. A Limited Memory Algorithm for Bound Constrained Optimization

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