Articles | Volume 18, issue 13
https://doi.org/10.5194/bg-18-4143-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-18-4143-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Jul 2021
Research article |
| 13 Jul 2021
| 13 Jul 2021
A novel representation of biological nitrogen fixation and competitive dynamics between nitrogen-fixing and non-fixing plants in a land model (GFDL LM4.1-BNF)
Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, 10027, USA
Sergey Malyshev
Geophysical Fluid Dynamics Laboratory (GFDL), National Oceanic and Atmospheric Administration (NOAA), Princeton, 08540, USA
Isabel Martínez Cano
Department of Ecology and Evolutionary Biology, Princeton University, Princeton, 08544, USA
Stephen W. Pacala
Department of Ecology and Evolutionary Biology, Princeton University, Princeton, 08544, USA
Elena Shevliakova
Geophysical Fluid Dynamics Laboratory (GFDL), National Oceanic and Atmospheric Administration (NOAA), Princeton, 08540, USA
Thomas A. Bytnerowicz
Department of Integrative Biology, The University of Texas, Austin, 78712, USA
Duncan N. L. Menge
Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, 10027, USA
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To estimate the effects of human land use activities on the carbon–climate system, a new set of global gridded land use forcing datasets was developed to link historical land use data to eight future scenarios in a standard format required by climate models. This new generation of land use harmonization (LUH2) includes updated inputs, higher spatial resolution, more detailed land use transitions, and the addition of important agricultural management layers; it will be used for CMIP6 simulations.
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Representing biological nitrogen fixation (BNF) is an important challenge for land models. We present a novel representation of BNF and updated nitrogen cycling in a land model. It includes a representation of asymbiotic BNF by soil microbes and the competitive dynamics between nitrogen-fixing and non-fixing plants. It improves estimations of major carbon and nitrogen pools and fluxes and their temporal dynamics in comparison to previous representations of BNF in land models.
Representing biological nitrogen fixation (BNF) is an important challenge for land models. We...
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