Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/gmd-2018-23
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Model description paper
22 Mar 2018
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).
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. Stocker12,13, Rong Wang14, Sönke Zaehle15, and Sophie Zechmeister-Boltenstern16 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, D-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
12AXA Chair of Biosphere and Climate Impacts, Grand Challenges in Ecosystems and the Environment and Grantham Institute – Climate Change and the Environment, Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot, UK
13Institute for Atmospheric and Climate Science, ETH Zürich, Universitätstrasse 16, Zürich, Switzerland
14Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, USA
15Max Planck Institute for Biogeochemistry, Jena, Germany
16University 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 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 that the terrestrial C sink may ultimately be constrained by low P. Nutrient-use efficiency, defined as the ratio of gross primary production (GPP) to plant nutrient uptake, can be 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.
Citation: Wang, Y., Ciais, P., Goll, D., Huang, Y., Luo, Y., Wang, Y.-P., Bloom, A. A., Broquet, G., Hartmann, J., Peng, S., Penuelas, J., Piao, S., Sardans, J., Stocker, B. D., Wang, R., Zaehle, S., and Zechmeister-Boltenstern, S.: GOLUM-CNP v1.0: a data-driven modeling of carbon, nitrogen and phosphorus cycles in major terrestrial biomes, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2018-23, in review, 2018.
Yilong Wang et al.
Yilong Wang et al.
Yilong Wang et al.

Viewed

Total article views: 230 (including HTML, PDF, and XML)

HTML PDF XML Total Supplement BibTeX EndNote
175 50 5 230 13 7 13

Views and downloads (calculated since 22 Mar 2018)

Cumulative views and downloads (calculated since 22 Mar 2018)

Viewed (geographical distribution)

Total article views: 230 (including HTML, PDF, and XML)

Thereof 229 with geography defined and 1 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 26 Apr 2018
Publications Copernicus
Download
Short summary
We present a new modeling framework called Global Observation-based Land-ecosystems Utilization Model of Carbon, Nitrogen and Phosphorus (GOLUM-CNP) that combines the 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...
Share