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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 11, issue 9
Geosci. Model Dev., 11, 3903-3928, 2018
https://doi.org/10.5194/gmd-11-3903-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 11, 3903-3928, 2018
https://doi.org/10.5194/gmd-11-3903-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model description paper 27 Sep 2018

Model description paper | 27 Sep 2018

GOLUM-CNP v1.0: a data-driven modeling of carbon, nitrogen and phosphorus cycles in major terrestrial biomes

Yilong Wang1, Philippe Ciais1, Daniel Goll1, Yuanyuan Huang1, Yiqi Luo2,3,4, Ying-Ping Wang5, A. Anthony Bloom6, Grégoire Broquet1, Jens Hartmann7, Shushi Peng8, Josep Penuelas9,10, Shilong Piao8,11, Jordi Sardans9,10, Benjamin D. Stocker10, Rong Wang12, Sönke Zaehle13, and Sophie Zechmeister-Boltenstern14 Yilong Wang et al.
  • 1Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ- Université Paris Saclay, Gif-sur-Yvette, France
  • 2Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, USA
  • 3Department of Earth System Science, Tsinghua University, Beijing, China
  • 4Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, USA
  • 5CSIRO Oceans and Atmosphere, PMB 1, Aspendale, Victoria, Australia
  • 6Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
  • 7Institute for Geology, KlimaCampus, Universität Hamburg, Bundesstrasse 55, 20146 Hamburg, Germany
  • 8Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China
  • 9CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Catalonia, Spain
  • 10CREAF, Cerdanyola del Vallès, Catalonia, Spain
  • 11Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
  • 12Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, USA
  • 13Max Planck Institute for Biogeochemistry, Jena, Germany
  • 14University of Natural Resources and Life Sciences Vienna, Institute of Soil Research, Department of Forest and Soil Sciences, Vienna, Austria

Abstract. Global terrestrial nitrogen (N) and phosphorus (P) cycles are coupled to the global carbon (C) cycle for net primary production (NPP), plant C allocation, and decomposition of soil organic matter, but N and P have distinct pathways of inputs and losses. Current C-nutrient models exhibit large uncertainties in their estimates of pool sizes, fluxes, and turnover rates of nutrients, due to a lack of consistent global data for evaluating the models. In this study, we present a new model–data fusion framework called the Global Observation-based Land-ecosystems Utilization Model of Carbon, Nitrogen and Phosphorus (GOLUM-CNP) that combines the CARbon DAta MOdel fraMework (CARDAMOM) data-constrained C-cycle analysis with spatially explicit data-driven estimates of N and P inputs and losses and with observed stoichiometric ratios. We calculated the steady-state N- and P-pool sizes and fluxes globally for large biomes. Our study showed that new N inputs from biological fixation and deposition supplied  > 20% of total plant uptake in most forest ecosystems but accounted for smaller fractions in boreal forests and grasslands. New P inputs from atmospheric deposition and rock weathering supplied a much smaller fraction of total plant uptake than new N inputs, indicating the importance of internal P recycling within ecosystems to support plant growth. Nutrient-use efficiency, defined as the ratio of gross primary production (GPP) to plant nutrient uptake, were diagnosed from our model results and compared between biomes. Tropical forests had the lowest N-use efficiency and the highest P-use efficiency of the forest biomes. An analysis of sensitivity and uncertainty indicated that the NPP-allocation fractions to leaves, roots, and wood contributed the most to the uncertainties in the estimates of nutrient-use efficiencies. Correcting for biases in NPP-allocation fractions produced more plausible gradients of N- and P-use efficiencies from tropical to boreal ecosystems and highlighted the critical role of accurate measurements of C allocation for understanding the N and P cycles.

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We present a new modeling framework called Global Observation-based Land-ecosystems Utilization Model of Carbon, Nitrogen and Phosphorus (GOLUM-CNP) that combines a data-constrained C-cycle analysis with data-driven estimates of N and P inputs and losses and with observed stoichiometric ratios. GOLUM-CNP provides a traceable tool, where a consistency between different datasets of global C, N, and P cycles has been achieved.
We present a new modeling framework called Global Observation-based Land-ecosystems Utilization...
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