 |
| Titel |
Copula Multivariate analysis of Gross primary production and its hydro-environmental driver; A BIOME-BGC model applied to the Antisana páramos |
| VerfasserIn |
Veronica Minaya, Gerald Corzo, Johannes van der Kwast, Remigio Galárraga, Arthur Mynett |
| Konferenz |
EGU General Assembly 2014
|
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250100660
|
| Publikation (Nr.) |
 EGU/EGU2014-16648.pdf |
|
|
|
|
|
| Zusammenfassung |
| Simulations of carbon cycling are prone to uncertainties from different sources, which in
general are related to input data, parameters and the model representation capacities itself.
The gross carbon uptake in the cycle is represented by the gross primary production (GPP),
which deals with the spatio-temporal variability of the precipitation and the soil
moisture dynamics. This variability associated with uncertainty of the parameters
can be modelled by multivariate probabilistic distributions. Our study presents
a novel methodology that uses multivariate Copulas analysis to assess the GPP.
Multi-species and elevations variables are included in a first scenario of the analysis.
Hydro-meteorological conditions that might generate a change in the next 50 or
more years are included in a second scenario of this analysis. The biogeochemical
model BIOME-BGC was applied in the Ecuadorian Andean region in elevations
greater than 4000 masl with the presence of typical vegetation of páramo. The
change of GPP over time is crucial for climate scenarios of the carbon cycling in this
type of ecosystem. The results help to improve our understanding of the ecosystem
function and clarify the dynamics and the relationship with the change of climate
variables.
Keywords: multivariate analysis, Copula, BIOME-BGC, NPP, páramos |
|
|
|
|
|
|