Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
  Application of DNDC biogeochemistry model to estimate greenhouse gas emissions from Italian agricultural areas at high spatial resolution

Lugato, E., Zuliani, M., Alberti, G., Vedove, G. D., Gioli, B., Miglietta, F., et al. (2010). Application of DNDC biogeochemistry model to estimate greenhouse gas emissions from Italian agricultural areas at high spatial resolution. Agriculture, Ecosystems & Environment, 139, 546-556. doi:10.1016/j.agee.2010.09.015.

Item is

Basisdaten

einblenden: ausblenden:
Genre: Zeitschriftenartikel

Dateien

einblenden: Dateien
ausblenden: Dateien
:
BPR021.pdf (Verlagsversion), 2MB
 
Datei-Permalink:
-
Name:
BPR021.pdf
Beschreibung:
-
OA-Status:
Sichtbarkeit:
Eingeschränkt (Max Planck Institute for Biogeochemistry, MJBK; )
MIME-Typ / Prüfsumme:
application/pdf
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-
Lizenz:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Lugato, Emanuele1, Autor
Zuliani, Michel, Autor
Alberti, Giorgio, Autor
Vedove, Gemini Delle, Autor
Gioli, Beniamino, Autor
Miglietta, Franco, Autor
Peressotti, Alessandro, Autor
Affiliations:
1External Organizations, ou_persistent22              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: Agriculture is responsible for 13.5% of total greenhouse gas (GHG) emissions (IPCC, 2007), in particular accounting for more than 80% of global anthropogenic nitrous oxide (N2O) emissions. However uncertainties in GHG inventories are still high as biogeochemical cycles are strongly influenced by climatic and environmental conditions and also depend on local agricultural practices. In order to improve the GHG balance assessment in cropland, higher order methods (Tier 3) are recommended such as, for example, model applications at spatial level. In the present study, a GIS-model integration was performed with the aim of improving the national GHG inventory in Italy. The de-nitrification decomposition (DNDC) model, chosen due to its ability to simulate carbon (C) and nitrogen (N) cycles, has been tested against measured data coming from eddy-covariance stations and soil flux chambers (for CO2 and N2O fluxes) belonging to Carbo-Italy network. Despite the varying site specific parameters, the results confirmed the ability of the model to represent the real C balance in irrigated maize crop under both conventional and minimum tillage. Modelled N2O emissions fitted the measured data well, but the corresponding emission factor from fertilizers was much lower than the IPCC default (0.008 vs 0.0125 kgN2O-N kg−1 N, respectively). A platform of simulation was then built to run DNDC for the entire national territory, linking the model with geographical databases. To implement the model, a high spatial resolution grid (1km×1 km) was adopted in order to develop a tool that could be used by local administrations and easily upload information at high spatial resolution (e.g. remote sensed information). A tree management (e.g. a combination of different management and land use) was also built to simulate crops with a ‘business as usual’ (BaU) scenario and with alternative management practices (AMP) and potentially create infinite combinations in each cell simply by varying a relative land use weight. Although the total area under agriculture has not been simulated so far, this platform of simulation appears promising to improve the national GHG inventory and derive C credits from the agricultural sector.

Details

einblenden:
ausblenden:
Sprache(n):
 Datum: 2010-09-242010-10-25
 Publikationsstatus: Online veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: Anderer: BPR021
DOI: 10.1016/j.agee.2010.09.015
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Agriculture, Ecosystems & Environment
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Amsterdam : Elsevier
Seiten: - Band / Heft: 139 Artikelnummer: - Start- / Endseite: 546 - 556 Identifikator: ISSN: 0167-8809
CoNE: https://pure.mpg.de/cone/journals/resource/954928561459