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

von Bloh, Werner; Schaphoff, Sibyll; Müller, Christoph; Rolinski, Susanne; Waha, Katharina; Zaehle, S.

doi:10.5194/gmd-11-2789-2018

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学術論文

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

Authors

/persons/resource/Werner.von.Bloh

von Bloh, Werner
Potsdam Institute for Climate Impact Research;

/persons/resource/Sibyll.Schaphoff

Schaphoff, Sibyll
Potsdam Institute for Climate Impact Research;

/persons/resource/Christoph.Mueller

Müller, Christoph
Potsdam Institute for Climate Impact Research;

/persons/resource/Rolinski

Rolinski, Susanne
Potsdam Institute for Climate Impact Research;

/persons/resource/katharina.waha

Waha, Katharina
Potsdam Institute for Climate Impact Research;

Zaehle, S.
External Organizations;

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引用

von Bloh, W., Schaphoff, S., Müller, C., Rolinski, S., Waha, K., & Zaehle, S. (2018). Implementing the nitrogen cycle into the dynamic global vegetation, hydrology, and crop growth model LPJmL (version 5.0). Geoscientific Model Development, 11(7), 2789-2812. doi:10.5194/gmd-11-2789-2018.

引用: https://publications.pik-potsdam.de/pubman/item/item_22568

要旨

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-limiting factors. Furthermore, it can be shown that land use has a strong influence on nitrogen losses, increasing leaching by 93 %.