Representing Organic Matter Thermodynamics in Biogeochemical Reactions via Substrate-Explicit Modeling

Predictive biogeochemical modeling requires data-model integration that enables explicit representation of the sophisticated roles of microbial processes that transform substrates. Data from high-resolution organic matter (OM) characterization are increasingly available and can serve as a critical r...

Descripción completa

Detalles Bibliográficos
Autores principales: Song, Hyun-Seob, Stegen, James C., Graham, Emily B., Lee, Joon-Yong, Garayburu-Caruso, Vanessa A., Nelson, William C., Chen, Xingyuan, Moulton, J. David, Scheibe, Timothy D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644784/
https://www.ncbi.nlm.nih.gov/pubmed/33193121
http://dx.doi.org/10.3389/fmicb.2020.531756

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644784/
https://www.ncbi.nlm.nih.gov/pubmed/33193121
http://dx.doi.org/10.3389/fmicb.2020.531756

Ejemplares similares