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GOLUM-CNP v1.0: a data-driven modeling of carbon, nitrogen and phosphorus cycles in major terrestrial biomes
Wang, YL (Wang, Yilong)1; Ciais, P (Ciais, Philippe)1; Goll, D (Goll, Daniel)1; Huang, YY (Huang, Yuanyuan)1; Luo, YQ (Luo, Yiqi)2,3,4; Wang, YP (Wang, Ying-Ping)5; Bloom, AA (Bloom, A. Anthony)6; Broquet, G (Broquet, Gregoire)1; Hartmann, J (Hartmann, Jens)7; Peng, SS (Peng, Shushi)8; Penuelas, J (Penuelas, Josep)9,10; Piao, SL (Piao, Shilong)8,11; Sardans, J (Sardans, Jordi)9,10; Stocker, BD (Stocker, Benjamin D.)10; Wang, R (Wang, Rong)12; Zaehle, S (Zaehle, Soenke)13; Zechmeister-Boltenstern, S (Zechmeister-Boltenstern, Sophie)14
Source PublicationGEOSCIENTIFIC MODEL DEVELOPMENT
2018-09-27
Volume11Issue:9Pages:3903-3928
DOI10.5194/gmd-11-3903-2018
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 (CAR-AMOM) 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.

Subject Area生态学
WOS IDWOS:000460485500001
Language英语
Indexed BySCIE
KeywordGlobal Patterns Boreal Forest Leaf Nitrogen Stoichiometric Flexibility Nutrient Concentrations Organic Nitrogen Soil-phosphorus Dynamics Land Temperature
WOS Research AreaGeology
WOS SubjectGeosciences, Multidisciplinary
Cooperation Status国际
ISSN1991-959X
Department高寒生态重点实验室
PublisherCOPERNICUS GESELLSCHAFT MBH
Citation statistics
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/8542
Collection图书馆
Corresponding AuthorWang, YL (Wang, Yilong)
Affiliation1.Univ Paris Saclay, CEA, CNRS, Lab Sci Climat & Environm,UVSQ, Gif Sur Yvette, France;
2.No Arizona Univ, Ctr Ecosyst Sci & Soc, Flagstaff, AZ 86011 USA;
3.Tsinghua Univ, Dept Earth Syst Sci, Beijing, Peoples R China;
4.Univ Oklahoma, Dept Microbiol & Plant Biol, Norman, OK 73019 USA;
5.CSIRO Oceans & Atmosphere, PMB 1, Aspendale, Vic, Australia;
6.CALTECH, Jet Prop Lab, Pasadena, CA USA;
7.Univ Hamburg, Inst Geol, KlimaCampus,Bundesstr 55, D-20146 Hamburg, Germany;
8.Peking Univ, Sino French Inst Earth Syst Sci, Coll Urban & Environm Sci, Beijing, Peoples R China;
9.UAB, CSIC, Global Ecol Unit CREAF, Bellaterra, Catalonia, Spain;
10.CREAF, Cerdanyola Del Valles, Catalonia, Spain;
11.Chinese Acad Sci, Inst Tibetan Plateau Res, Beijing, Peoples R China;
12.Carnegie Inst Sci, Dept Global Ecol, Stanford, CA USA;
13.Max Planck Inst Biogeochem, Jena, Germany;
14.Univ Nat Resources & Life Sci Vienna, Inst Soil Res, Dept Forest & Soil Sci, Vienna, Austria.
Recommended Citation
GB/T 7714
Wang, YL ,Ciais, P ,Goll, D ,et al. GOLUM-CNP v1.0: a data-driven modeling of carbon, nitrogen and phosphorus cycles in major terrestrial biomes[J]. GEOSCIENTIFIC MODEL DEVELOPMENT,2018,11(9):3903-3928.
APA Wang, YL .,Ciais, P .,Goll, D .,Huang, YY .,Luo, YQ .,...&Zechmeister-Boltenstern, S .(2018).GOLUM-CNP v1.0: a data-driven modeling of carbon, nitrogen and phosphorus cycles in major terrestrial biomes.GEOSCIENTIFIC MODEL DEVELOPMENT,11(9),3903-3928.
MLA Wang, YL ,et al."GOLUM-CNP v1.0: a data-driven modeling of carbon, nitrogen and phosphorus cycles in major terrestrial biomes".GEOSCIENTIFIC MODEL DEVELOPMENT 11.9(2018):3903-3928.
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