biogeochemical modeling of co2 and ch4 production in anoxic arctic soil microcosms
Clicks: 129
ID: 258807
2016
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
30.0
/100
129 views
7 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #263 of 345 articles by views in tetrahedron letters
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 345 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Soil organic carbon turnover to CO2 and CH4 is sensitive to soil
redox potential and pH conditions. However, land surface models do not
consider redox and pH in the aqueous phase explicitly, thereby limiting their
use for making predictions in anoxic environments. Using recent data from
incubations of Arctic soils, we extend the Community Land Model with coupled
carbon and nitrogen (CLM-CN) decomposition cascade to include simple organic substrate
turnover, fermentation, Fe(III) reduction, and methanogenesis reactions, and
assess the efficacy of various temperature and pH response functions.
Incorporating the Windermere Humic Aqueous Model (WHAM) enables us to
approximately describe the observed pH evolution without additional
parameterization. Although Fe(III) reduction is normally assumed to compete
with methanogenesis, the model predicts that Fe(III) reduction raises the pH
from acidic to neutral, thereby reducing environmental stress to methanogens
and accelerating methane production when substrates are not limiting. The
equilibrium speciation predicts a substantial increase in CO2 solubility
as pH increases, and taking into account CO2 adsorption to surface sites
of metal oxides further decreases the predicted headspace gas-phase fraction
at low pH. Without adequate representation of these speciation reactions, as
well as the impacts of pH, temperature, and pressure, the CO2 production from
closed microcosms can be substantially underestimated based on headspace
CO2 measurements only. Our results demonstrate the efficacy of
geochemical models for simulating soil biogeochemistry and provide predictive
understanding and mechanistic representations that can be incorporated into
land surface models to improve climate predictions.
| Reference Key |
tang2016biogeosciencesbiogeochemical
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;G. Tang;J. Zheng;X. Xu;Z. Yang;D. E. Graham;B. Gu;S. L. Painter;P. E. Thornton |
| Journal | tetrahedron letters |
| Year | 2016 |
| DOI |
10.5194/bg-13-5021-2016
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.