dc.contributor.author |
Manzoni, S |
|
dc.contributor.author |
Katul, GG |
|
dc.contributor.author |
Porporato, A |
|
dc.date.accessioned |
2011-06-21T17:22:07Z |
|
dc.date.issued |
2009-01-01 |
|
dc.identifier.issn |
0148-0227 |
|
dc.identifier.uri |
https://hdl.handle.net/10161/3995 |
|
dc.description.abstract |
The long-term soil carbon dynamics may be approximated by networks of linear compartments,
permitting theoretical analysis of transit time (i.e., the total time spent by a molecule
in the system) and age (the time elapsed since the molecule entered the system) distributions.
We compute and compare these distributions for different network. configurations,
ranging from the simple individual compartment, to series and parallel linear compartments,
feedback systems, and models assuming a continuous distribution of decay constants.
We also derive the transit time and age distributions of some complex, widely used
soil carbon models (the compartmental models CENTURY and Rothamsted, and the continuous-quality
Q-Model), and discuss them in the context of long-term carbon sequestration in soils.
We show how complex models including feedback loops and slow compartments have distributions
with heavier tails than simpler models. Power law tails emerge when using continuous-quality
models, indicating long retention times for an important fraction of soil carbon.
The responsiveness of the soil system to changes in decay constants due to altered
climatic conditions or plant species composition is found to be stronger when all
compartments respond equally to the environmental change, and when the slower compartments
are more sensitive than the faster ones or lose more carbon through microbial respiration.
Copyright 2009 by the American Geophysical Union.
|
|
dc.language.iso |
en_US |
|
dc.publisher |
American Geophysical Union (AGU) |
|
dc.relation.ispartof |
Journal of Geophysical Research: Biogeosciences |
|
dc.relation.isversionof |
10.1029/2009JG001070 |
|
dc.title |
Analysis of soil carbon transit times and age distributions using network theories |
|
dc.title.alternative |
|
|
dc.type |
Journal article |
|
duke.contributor.id |
Katul, GG|0116758 |
|
duke.contributor.id |
Porporato, A|0309526 |
|
dc.description.version |
Version of Record |
|
duke.date.pubdate |
2009-12-30 |
|
duke.description.issue |
|
|
duke.description.volume |
114 |
|
dc.relation.journal |
Journal of Geophysical Research-Biogeosciences |
|
pubs.begin-page |
G04025 |
|
pubs.issue |
4 |
|
pubs.organisational-group |
Civil and Environmental Engineering |
|
pubs.organisational-group |
Duke |
|
pubs.organisational-group |
Environmental Sciences and Policy |
|
pubs.organisational-group |
Nicholas School of the Environment |
|
pubs.organisational-group |
Pratt School of Engineering |
|
pubs.publication-status |
Published |
|
pubs.volume |
114 |
|
duke.contributor.orcid |
Katul, GG|0000-0001-9768-3693 |
|