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Title: Soil Organic Matter Temperature Sensitivity Cannot be Directly Inferred From Spatial Gradients

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [3]
  1. Lawrence Berkeley National Laboratory Berkeley CA USA, Laboratoire des Sciences du Climat et de l'Environnment, Orme des Merisiers Gif‐sur‐Yvette France
  2. Lawrence Berkeley National Laboratory Berkeley CA USA, University of California, Berkeley Berkeley CA USA
  3. Lawrence Berkeley National Laboratory Berkeley CA USA
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1560217
Grant/Contract Number:  
DE‐AC02‐05CH11231
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Global Biogeochemical Cycles
Additional Journal Information:
Journal Name: Global Biogeochemical Cycles Journal Volume: 33 Journal Issue: 6; Journal ID: ISSN 0886-6236
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English

Citation Formats

Abramoff, Rose Z., Torn, Margaret S., Georgiou, Katerina, Tang, Jinyun, and Riley, William J. Soil Organic Matter Temperature Sensitivity Cannot be Directly Inferred From Spatial Gradients. United States: N. p., 2019. Web. doi:10.1029/2018GB006001.
Abramoff, Rose Z., Torn, Margaret S., Georgiou, Katerina, Tang, Jinyun, & Riley, William J. Soil Organic Matter Temperature Sensitivity Cannot be Directly Inferred From Spatial Gradients. United States. doi:10.1029/2018GB006001.
Abramoff, Rose Z., Torn, Margaret S., Georgiou, Katerina, Tang, Jinyun, and Riley, William J. Wed . "Soil Organic Matter Temperature Sensitivity Cannot be Directly Inferred From Spatial Gradients". United States. doi:10.1029/2018GB006001.
@article{osti_1560217,
title = {Soil Organic Matter Temperature Sensitivity Cannot be Directly Inferred From Spatial Gradients},
author = {Abramoff, Rose Z. and Torn, Margaret S. and Georgiou, Katerina and Tang, Jinyun and Riley, William J.},
abstractNote = {},
doi = {10.1029/2018GB006001},
journal = {Global Biogeochemical Cycles},
number = 6,
volume = 33,
place = {United States},
year = {2019},
month = {6}
}

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