Implementing the nitrogen cycle into the dynamic global vegetation, hydrology, and crop growth model LPJmL (version 5.0)

  • The well-established dynamical global vegetation, hydrology, and crop growth model LPJmL is extended with a terrestrial nitrogen cycle to account for nutrient limitations. In particular, processes of soil nitrogen dynamics, plant uptake, nitrogen allocation, response of photosynthesis and maintenance respiration to varying nitrogen concentrations in plant organs, and agricultural nitrogen management are included in the model. All new model features are described in full detail and the results of a global simulation of the historic past (1901–2009) are presented for evaluation of the model performance. We find that the implementation of nitrogen limitation significantly improves the simulation of global patterns of crop productivity. Regional differences in crop productivity, which had to be calibrated via a scaling of the maximum leaf area index, can now largely be reproduced by the model, except for regions where fertilizer inputs and climate conditions are not the yield-limitingThe well-established dynamical global vegetation, hydrology, and crop growth model LPJmL is extended with a terrestrial nitrogen cycle to account for nutrient limitations. In particular, processes of soil nitrogen dynamics, plant uptake, nitrogen allocation, response of photosynthesis and maintenance respiration to varying nitrogen concentrations in plant organs, and agricultural nitrogen management are included in the model. All new model features are described in full detail and the results of a global simulation of the historic past (1901–2009) are presented for evaluation of the model performance. We find that the implementation of nitrogen limitation significantly improves the simulation of global patterns of crop productivity. Regional differences in crop productivity, which had to be calibrated via a scaling of the maximum leaf area index, can now largely be reproduced by the model, except for regions where fertilizer inputs and climate conditions are not the yield-limiting factors. Furthermore, it can be shown that land use has a strong influence on nitrogen losses, increasing leaching by 93 %.show moreshow less

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Metadaten
Author:Werner von Bloh, Sibyll Schaphoff, Christoph Müller, Susanne Rolinski, Katharina WahaORCiDGND, Sönke Zaehle
URN:urn:nbn:de:bvb:384-opus4-1083323
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/108332
ISSN:1991-9603OPAC
Parent Title (English):Geoscientific Model Development
Publisher:Copernicus
Place of publication:Göttingen
Type:Article
Language:English
Year of first Publication:2018
Publishing Institution:Universität Augsburg
Release Date:2023/10/16
Volume:11
Issue:7
First Page:2789
Last Page:2812
DOI:https://doi.org/10.5194/gmd-11-2789-2018
Institutes:Fakultät für Angewandte Informatik
Fakultätsübergreifende Institute und Einrichtungen
Fakultät für Angewandte Informatik / Institut für Geographie
Fakultätsübergreifende Institute und Einrichtungen / Zentrum für Klimaresilienz
Fakultät für Angewandte Informatik / Institut für Geographie / Lehrstuhl für Klimaresilienz von Kulturökosystemen
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)