Coupling Remote Sensing With a Process Model for the Simulation of Rangeland Carbon Dynamics

Abstract Rangelands provide significant environmental benefits through many ecosystem services, which may include soil organic carbon (SOC) sequestration. However, quantifying SOC stocks and monitoring carbon (C) fluxes in rangelands are challenging due to the considerable spatial and temporal varia...

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Bibliographic Details
Main Authors:	Yushu Xia, Jonathan Sanderman, Jennifer D. Watts, Megan B. Machmuller, Andrew L. Mullen, Charlotte Rivard, Arthur Endsley, Haydee Hernandez, John Kimball, Stephanie A. Ewing, Marcy Litvak, Tomer Duman, Praveena Krishnan, Tilden Meyers, Nathaniel A. Brunsell, Binayak Mohanty, Heping Liu, Zhongming Gao, Jiquan Chen, Michael Abraha, Russell L. Scott, Gerald N. Flerchinger, Patrick E. Clark, Paul C. Stoy, Anam M. Khan, E. N. Jack Brookshire, Quan Zhang, David R. Cook, Thomas Thienelt, Bhaskar Mitra, Marguerite Mauritz‐Tozer, Craig E. Tweedie, Margaret S. Torn, Dave Billesbach
Format:	Article
Language:	English
Published:	American Geophysical Union (AGU) 2025-03-01
Series:	Journal of Advances in Modeling Earth Systems
Subjects:	C carbon DNDC Denitrification‐Decomposition DSM digital soil mapping
Online Access:	https://doi.org/10.1029/2024MS004342
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Coupling Remote Sensing With a Process Model for the Simulation of Rangeland Carbon Dynamics

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