GOLUM-CNP v1.0 : a data-driven modeling of carbon, nitrogen and phosphorus cycles in major terrestrial biomes
Wang, Yilong (Université Paris Saclay. Laboratoire des Sciences du Climat et de l'Environnement)
Ciais, Philippe (Université Paris Saclay. Laboratoire des Sciences du Climat et de l'Environnement)
Goll, Daniel (Université Paris Saclay. Laboratoire des Sciences du Climat et de l'Environnement)
Huang, Yuanyuan (Laboratoire des Sciences du Climat et de l'Environnement)
Luo, Yiqi (Tsinghua University. Department of Earth System Science)
Wang, Ying-Ping (CSIRO Oceans and Atmosphere)
Bloom, A. Anthony (California Institute of Technology. Jet Propulsion Laboratory)
Broquet, Grégoire (Université Paris Saclay. Laboratoire des Sciences du Climat et de l'Environnement)
Hartmann, Jens (Universität Hamburg. Institute for Geology)
Peng, Shushi (College of Urban and Environmental Sciences. Sino-French Institute for Earth System Science)
Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Piao, Shilong (Chinese Academy of Sciences. Institute of Tibetan Plateau Research)
Sardans i Galobart, Jordi (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Stocker, Benjamin (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Wang, Rong (Carnegie Institution for Science (Washington, Estats Units d'Amèrica). Department of Global Ecology)
Zaehle, Sönke (Max Planck Institute for Biogeochemistry)
Zechmeister-Boltenstern, Sophie (University of Natural Resources and Life Sciences Vienna. Institute of Soil Research)

Data:	2018
Resum:	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.
Ajuts:	European Commission 610028 European Commission 701329
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Publicat a:	Geoscientific model development, Vol. 11, Issue 9 (September 2018) , p. 3903-3928, ISSN 1991-959X

DOI: 10.5194/gmd-11-3903-2018

26 p, 10.3 MB

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Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències > CREAF (Centre de Recerca Ecològica i d'Aplicacions Forestals) > Imbalance-P
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