Bayesian calibration of the DayCent ecosystem model to simulate soil organic carbon dynamics and reduce model uncertainty-Reference-Cited by-同舟云学术

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Bayesian calibration of the DayCent ecosystem model to simulate soil organic carbon dynamics and reduce model uncertainty

Published:2020-10 Issue: Volume:376 Page:114529
ISSN:0016-7061
Container-title:Geoderma
language:en
Short-container-title:Geoderma

Author:

Gurung Ram B.,Ogle Stephen M.,Breidt F. Jay,Williams Stephen A.,Parton William J.

Funder

U.S. Environmental Protection Agency

U.S. Forest Service

National Institute of Food and Agriculture

Publisher

Elsevier BV

Subject

Soil Science

Reference125 articles.

1. The Millennial model: In search of measurable pools and transformations for modeling soil carbon in the new century;Abramoff;Biogeochemistry,2018

2. Bayesian calibration of a soil organic carbon model using δ14C measurements of soil organic carbon and heterotrophic respiration as joint constraints;Ahrens;Biogeosciences,2014

3. Quantifying and isolating stable soil organic carbon using long-term bare fallow experiments;Barre;Biogeosciences,2010

4. An essay towards solving a problem in the doctrine of chances by the late rev;Bayes;Mr. Bayes. Philos. Trans.,1763

5. Amino acid (15)N in long-term bare fallow soils: influence of annual N fertilizer and manure applications;Bol;Eur. J. Soil Sci.,2008

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