Improving Soil Carbon Estimates by Linking Conceptual Pools Against Measurable Carbon Fractions in the DAYCENT Model Version 4.5-Reference-Cited by-同舟云学术

Improving Soil Carbon Estimates by Linking Conceptual Pools Against Measurable Carbon Fractions in the DAYCENT Model Version 4.5

Published:2022-05 Issue:5 Volume:14 Page:
ISSN:1942-2466
Container-title:Journal of Advances in Modeling Earth Systems
language:en
Short-container-title:J Adv Model Earth Syst

Author:

Dangal Shree R. S.¹²^ORCID,Schwalm Christopher¹,Cavigelli Michel A.³,Gollany Hero T.⁴,Jin Virginia L.⁵,Sanderman Jonathan¹

Affiliation:

1. Woodwell Climate Research Center Falmouth MA USA

2. School of Natural Resources University of Nebraska‐Lincoln Lincoln NE USA

3. US Department of Agriculture ‐ Agricultural Research Service Sustainable Agricultural Systems Laboratory Beltsville Agricultural Research Center Beltsville MD USA

4. US Department of Agriculture ‐ Agriculture Research Service Columbia Plateau Conservation Research Center Pendleton OR USA

5. US Department of Agriculture ‐ Agricultural Research Service Agroecosystem Management Research Unit University of Nebraska‐Lincoln Lincoln NE USA

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Chemistry,Global and Planetary Change

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021MS002622

Reference112 articles.

1. Improved global-scale predictions of soil carbon stocks with Millennial Version 2

2. The Millennial model: in search of measurable pools and transformations for modeling soil carbon in the new century

3. Uncertainties in the 20th century carbon budget associated with land use change

4. Tillage practices in the conterminous United States, 1989-2004-Datasets Aggregated by Watershed

5. Predicting contents of carbon and its component fractions in Australian soils from diffuse reflectance mid-infrared spectra

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