![Hier klicken, um den Treffer aus der Auswahl zu entfernen](images/unchecked.gif) |
Titel |
Predicting decadal trends and transient responses of radiocarbon storage and fluxes in a temperate forest soil |
VerfasserIn |
C. A. Sierra, S. E. Trumbore, E. A. Davidson, S. D. Frey, K. E. Savage, F. M. Hopkins |
Medientyp |
Artikel
|
Sprache |
Englisch
|
ISSN |
1726-4170
|
Digitales Dokument |
URL |
Erschienen |
In: Biogeosciences ; 9, no. 8 ; Nr. 9, no. 8 (2012-08-08), S.3013-3028 |
Datensatznummer |
250007233
|
Publikation (Nr.) |
copernicus.org/bg-9-3013-2012.pdf |
|
|
|
Zusammenfassung |
Representing the response of soil carbon dynamics to global
environmental change requires the incorporation of multiple
tools in the development of predictive models. An important
tool to construct and test models is the incorporation of bomb
radiocarbon in soil organic matter during the past decades. In
this manuscript, we combined radiocarbon data and a previously
developed empirical model to explore decade-scale soil carbon
dynamics in a temperate forest ecosystem at the Harvard
Forest, Massachusetts, USA. We evaluated the contribution of
different soil C fractions to both total soil CO2 efflux
and microbially respired C. We tested the performance of the
model based on measurable soil organic matter fractions
against a decade of radiocarbon measurements. The model was
then challenged with radiocarbon measurements from a warming
and N addition experiment to test multiple hypotheses about
the different response of soil C fractions to the experimental
manipulations. Our results showed that the empirical model
satisfactorily predicts the trends of radiocarbon in litter,
density fractions, and respired CO2 observed over
a decade in the soils not subjected to manipulation. However,
the model, modified with prescribed relationships for
temperature and decomposition rates, predicted most but not
all the observations from the field experiment where soil
temperatures and nitrogen levels were increased, suggesting
that a larger degree of complexity and mechanistic relations
need to be added to the model to predict short-term responses
and transient dynamics. |
|
|
Teil von |
|
|
|
|
|
|