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Title: Microbial models with data-driven parameters predict stronger soil carbon responses to climate change

 [1];  [2];  [3]
  1. Department of Microbiology and Plant Biology, University of Oklahoma, Norman OK USA, Computational Science Laboratory, Microsoft Research, Cambridge UK
  2. Computational Science Laboratory, Microsoft Research, Cambridge UK
  3. Department of Microbiology and Plant Biology, University of Oklahoma, Norman OK USA, Center for Earth System Science, Tsinghua University, Beijing China
Publication Date:
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
Grant/Contract Number:  
DE SC0008270
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Global Change Biology
Additional Journal Information:
Journal Name: Global Change Biology Journal Volume: 21 Journal Issue: 6; Journal ID: ISSN 1354-1013
Country of Publication:
United Kingdom

Citation Formats

Hararuk, Oleksandra, Smith, Matthew J., and Luo, Yiqi. Microbial models with data-driven parameters predict stronger soil carbon responses to climate change. United Kingdom: N. p., 2015. Web. doi:10.1111/gcb.12827.
Hararuk, Oleksandra, Smith, Matthew J., & Luo, Yiqi. Microbial models with data-driven parameters predict stronger soil carbon responses to climate change. United Kingdom. doi:10.1111/gcb.12827.
Hararuk, Oleksandra, Smith, Matthew J., and Luo, Yiqi. Fri . "Microbial models with data-driven parameters predict stronger soil carbon responses to climate change". United Kingdom. doi:10.1111/gcb.12827.
title = {Microbial models with data-driven parameters predict stronger soil carbon responses to climate change},
author = {Hararuk, Oleksandra and Smith, Matthew J. and Luo, Yiqi},
abstractNote = {},
doi = {10.1111/gcb.12827},
journal = {Global Change Biology},
number = 6,
volume = 21,
place = {United Kingdom},
year = {2015},
month = {3}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1111/gcb.12827

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Cited by: 36 works
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