![Hier klicken, um den Treffer aus der Auswahl zu entfernen](images/unchecked.gif) |
Titel |
A New Approach to Investigate the Impacts of Climate Change on the Net Primary Production (NPP) in China |
VerfasserIn |
Guodong Sun, Mu Mu |
Konferenz |
EGU General Assembly 2010
|
Medientyp |
Artikel
|
Sprache |
Englisch
|
Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 12 (2010) |
Datensatznummer |
250032715
|
|
|
|
Zusammenfassung |
A new approach of the conditional nonlinear optimal perturbation (CNOP), which is the
natural generalization of the approach of the linear singular vector, is adopted to investigate
the response of the net primary production (NPP) of the terrestrial ecosystem to nonlinear
climate change in China. A popular dynamical global vegetation model, Lund-Potsdam-Jena
DGVM, is employed in this study. The CNOP represents a kind of nonlinear parameter
perturbation, i.e., temperature perturbation. The NPP influenced by the CNOP-type
temperature perturbation is compared with that influenced by a linear-type temperature
perturbation.
The results demonstrate that the NPP is augmented in southern and northeastern regions
in China, and the NPP is reduced in arid and semi-arid regions in China with the CNOP-type
perturbation. The variation of the NPP with the linear-type perturbation is similar to that with
the CNOP-type perturbation. However, the varied extent of the NPP due to the
linear-type perturbation is smaller than that due to the CNOP-type perturbation. This
maybe result from the different impacts of the different temperature changes on the
gross primary production (GPP) and the automatic respiration (AR) in China. For
instance, in the southern China, the GPP increases, and the AR decreases owing to
the CNOP-type perturbation. However, the GPP and the AR decrease owing to
the linear-type perturbation. The numerical results suggest that it is an important
mechanism about the impact of the CNOP-type perturbation on the NPP in China. |
|
|
|
|
|