Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  Partitioning net ecosystem exchange of CO2: A comparison of a Bayesian/isotope approach to environmental regression methods

Zobitz, J. M., Burns, S. P., Ogee, J., Reichstein, M., & Bowling, R. (2007). Partitioning net ecosystem exchange of CO2: A comparison of a Bayesian/isotope approach to environmental regression methods. Journal of Geophysical Research - Biogeosciences, 112(3), G3013. doi:10.1029/2006JG000282.

Item is

Dateien

einblenden: Dateien
ausblenden: Dateien
:
BGC1025.pdf (Verlagsversion), 3MB
 
Datei-Permalink:
-
Name:
BGC1025.pdf
Beschreibung:
-
OA-Status:
Sichtbarkeit:
Eingeschränkt (Max Planck Institute for Biogeochemistry, MJBK; )
MIME-Typ / Prüfsumme:
application/octet-stream
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-
Lizenz:
-

Externe Referenzen

einblenden:
ausblenden:
externe Referenz:
http://dx.doi.org/10.1029/2006JG000282 (Verlagsversion)
Beschreibung:
OA
OA-Status:

Urheber

einblenden:
ausblenden:
 Urheber:
Zobitz, J. M., Autor
Burns, S. P., Autor
Ogee, J., Autor
Reichstein, M.1, Autor           
Bowling, R., Autor
Affiliations:
1Research Group Biogeochemical Model-data Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497760              

Inhalt

einblenden:
ausblenden:
Schlagwörter: Carbon-isotope discrimination Laser absorption-spectroscopy Eddy covariance measurements Model-data synthesis Soil organic-matter Sub-alpine forest European forests Deciduous forest Atmospheric CO2 Stable-isotope
 Zusammenfassung: Separation of the net ecosystem exchange of CO2 (F) into its component fluxes of net photosynthesis (F-A) and nonfoliar respiration (F-R) is important in understanding the physical and environmental controls on these fluxes, and how these fluxes may respond to environmental change. In this paper, we evaluate a partitioning method based on a combination of stable isotopes of CO2 and Bayesian optimization in the context of partitioning methods based on regressions with environmental variables. We combined high-resolution measurements of stable carbon isotopes of CO2, ecosystem fluxes, and meteorological variables with a Bayesian parameter optimization approach to estimate F-A and F-R in a subalpine forest in Colorado, United States, over the course of 104 days during summer 2003. Results were generally in agreement with the independent environmental regression methods of Reichstein et al. (2005a) and Yi et al. ( 2004). Half-hourly posterior parameter estimates of F-A and F-R derived from the Bayesian/isotopic method showed a strong diurnal pattern in both, consistent with established gross photosynthesis (GEE) and total ecosystem respiration (TER) relationships. Isotope-derived F-A was functionally dependent on light, but F-R exhibited the expected temperature dependence only when the prior estimates for F-R were temperature-based. Examination of the posterior correlation matrix revealed that the available data were insufficient to independently resolve all the Bayesian-estimated parameters in our model. This could be due to a small isotopic disequilibrium ( D) between F-A and F-R, poor characterization of whole-canopy photosynthetic discrimination or the isotopic flux (isoflux, analogous to net ecosystem exchange of (CO2)-C-13). The positive sign of D indicates that F-A was more enriched in C-13 than F-R. Possible reasons for this are discussed in the context of recent literature. [References: 92]

Details

einblenden:
ausblenden:
Sprache(n):
 Datum: 2007
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1029/2006JG000282
Anderer: BGC1025
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Journal of Geophysical Research - Biogeosciences
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 112 (3) Artikelnummer: - Start- / Endseite: G3013 Identifikator: ISSN: 0148-0227