Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  Modelling the role of livestock grazing in C and N cycling in grasslands with LPJmL5.0-grazing

Heinke, J., Rolinski, S., Müller, C. (2023): Modelling the role of livestock grazing in C and N cycling in grasslands with LPJmL5.0-grazing. - Geoscientific Model Development, 16, 9, 2455-2475.
https://doi.org/10.5194/gmd-16-2455-2023

Item is

Dateien

einblenden: Dateien
ausblenden: Dateien
:
gmd-16-2455-2023.pdf (Verlagsversion), 5MB
Name:
gmd-16-2455-2023.pdf
Beschreibung:
-
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Heinke, Jens1, Autor              
Rolinski, Susanne1, Autor              
Müller, Christoph1, Autor              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: To represent the impact of grazing livestock on carbon (C) and nitrogen (N) dynamics in grasslands, we implement a livestock module into LPJmL5.0-tillage, a global vegetation and crop model with explicit representation of managed grasslands and pastures, forming LPJmL5.0-grazing. The livestock module uses lactating dairy cows as a generic representation of grazing livestock. The new module explicitly accounts for forage quality in terms of dry-matter intake and digestibility using relationships derived from compositional analyses for different forages. Partitioning of N into milk, feces, and urine as simulated by the new livestock module shows very good agreement with observation-based relationships reported in the literature. Modelled C and N dynamics depend on forage quality (C:N ratios in grazed biomass), forage quantity, livestock densities, manure or fertilizer inputs, soil, atmospheric CO2 concentrations, and climate conditions. Due to the many interacting relationships, C sequestration, GHG emissions, N losses, and livestock productivity show substantial variation in space and across livestock densities. The improved LPJmL5.0-grazing model can now assess the effects of livestock grazing on C and N stocks and fluxes in grasslands. It can also provide insights about the spatio-temporal variability of grassland productivity and about the trade-offs between livestock production and environmental impacts.

Details

einblenden:
ausblenden:
Sprache(n): eng - Englisch
 Datum: 2022-07-072023-03-212023-05-092023-05-09
 Publikationsstatus: Final veröffentlicht
 Seiten: 21
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.5194/gmd-16-2455-2023
Organisational keyword: RD2 - Climate Resilience
PIKDOMAIN: RD2 - Climate Resilience
Working Group: Land Use and Resilience
Model / method: LPJmL
Research topic keyword: Food & Agriculture
Research topic keyword: Land use
Research topic keyword: Mitigation
Regional keyword: Global
MDB-ID: yes - 3485
OATYPE: Gold Open Access
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Geoscientific Model Development
Genre der Quelle: Zeitschrift, SCI, Scopus, p3, oa
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 16 (9) Artikelnummer: - Start- / Endseite: 2455 - 2475 Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals185
Publisher: Copernicus