Identifying Data Needed to Reduce Parameter Uncertainty in a Coupled Microbial Soil C and N Decomposition Model-Reference-Cited by-同舟云学术

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Identifying Data Needed to Reduce Parameter Uncertainty in a Coupled Microbial Soil C and N Decomposition Model

Published:2021-12 Issue:12 Volume:126 Page:
ISSN:2169-8953
Container-title:Journal of Geophysical Research: Biogeosciences
language:en
Short-container-title:JGR Biogeosciences

Author:

Saifuddin Mustafa¹,Abramoff Rose Z.²^ORCID,Davidson Eric A.³^ORCID,Dietze Michael C.¹,Finzi Adrien C.¹^ORCID

Affiliation:

1. Boston University Boston MA USA

2. Laboratoire des Sciences du Climat et de l'Environnement Gif sur Yvette France

3. University of Maryland Center for Environmental Science Cambridge MD USA

Publisher

American Geophysical Union (AGU)

Subject

Paleontology,Atmospheric Science,Soil Science,Water Science and Technology,Ecology,Aquatic Science,Forestry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021JG006593

Reference79 articles.

1. A parsimonious modular approach to building a mechanistic belowground carbon and nitrogen model

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

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

4. Complexity in microbial metabolic processes in soil nitrogen modeling: a case for model averaging

5. Temperature sensitivities of extracellular enzyme V max and K m across thermal environments

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Computationally Efficient Method for Parameter Sensitivity Analysis of Microbially Explicit Biogeochemical Models Accounting for Long‐Term Behavior;Journal of Geophysical Research: Biogeosciences;2024-03-31

2. Ecosystem-scale modelling of soil carbon dynamics: Time for a radical shift of perspective?;Soil Biology and Biochemistry;2023-09

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