Articles | Volume 16, issue 13
https://doi.org/10.5194/bg-16-2617-2019
© Author(s) 2019. 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-16-2617-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Jul 2019
Research article |
| 05 Jul 2019
| 05 Jul 2019
Global trends in marine nitrate N isotopes from observations and a neural network-based climatology
Department of Earth System Science, University of California, Irvine, CA, USA
Aaron Bagnell
Department of Geography, University of California, Santa Barbara, CA, USA
Dario Marconi
Department of Geosciences, Princeton University, Princeton, NJ, USA
Timothy DeVries
Department of Geography, University of California, Santa Barbara, CA, USA
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Cited
28 citations as recorded by crossref.
- Exploring the Effects of Residence Time on the Utility of Stable Isotopes and S/C Ratios as Proxies for Ocean Connectivity E. Stüeken et al. 10.1021/acsearthspacechem.3c00018
- Nitrogen cycling during the Mesoproterozoic as informed by the 1400 million year old Xiamaling Formation X. Wang et al. 10.1016/j.earscirev.2023.104499
- Impact of intensifying nitrogen limitation on ocean net primary production is fingerprinted by nitrogen isotopes P. Buchanan et al. 10.1038/s41467-021-26552-w
- Tropical decadal variability in nutrient supply and phytoplankton community in the Central Equatorial Pacific during the late Holocene T. Guilderson et al. 10.1038/s41598-024-54635-3
- Assessment of C, N, and Si Isotopes as Tracers of Past Ocean Nutrient and Carbon Cycling J. Farmer et al. 10.1029/2020GB006775
- Oceanographic and biogeochemical drivers cause divergent trends in the nitrogen isoscape in a changing Arctic Ocean P. Buchanan et al. 10.1007/s13280-021-01635-6
- Modelling global mesozooplankton biomass using machine learning K. Liu et al. 10.1016/j.pocean.2024.103371
- Southern Ocean sourced waters modulate Eastern Equatorial Pacific denitrification during the Mid-Pleistocene transition P. Diz & M. Pérez-Arlucea 10.1016/j.palaeo.2021.110531
- Equatorial Pacific bulk sediment δ15N supports a secular increase in Southern Ocean nitrate utilization after the mid-Pleistocene Transition J. Lambert et al. 10.1016/j.quascirev.2021.107348
- Constraining the Global Ocean Cu Cycle With a Data‐Assimilated Diagnostic Model S. Roshan et al. 10.1029/2020GB006741
- Particulate Organic Matter in the Atacama Trench: Tracing Sources and Possible Transport Mechanisms to the Hadal Seafloor E. Flores et al. 10.1029/2023JG007401
- Sources and Cycling of Particulate Organic Matter in Baffin Bay: A Multi-Isotope δ13C, δ15N, and Δ14C Approach A. Fox & B. Walker 10.3389/fmars.2022.846025
- Trophic sources and pathways of mesozooplankton and fish larvae in the Kuroshio and its neighboring waters based on stable isotope ratios of carbon and nitrogen T. Kobari et al. 10.1016/j.pocean.2022.102952
- Decadal oscillations in the ocean’s largest oxygen-deficient zone N. Duprey et al. 10.1126/science.adk4965
- Barium in seawater: dissolved distribution, relationship to silicon, and barite saturation state determined using machine learning Ö. Mete et al. 10.5194/essd-15-4023-2023
- Nitrogen uptakes dynamics with environmental variables in the southwest Bay of Bengal K. Priyanka et al. 10.1016/j.qsa.2024.100213
- Data-Driven Modeling of Dissolved Iron in the Global Ocean Y. Huang et al. 10.3389/fmars.2022.837183
- Using geostatistical analysis for simultaneous estimation of isoscapes and ontogenetic shifts in isotope ratios of highly migratory marine fish J. Matsubayashi et al. 10.3389/fmars.2022.1049056
- Global ocean dimethyl sulfide climatology estimated from observations and an artificial neural network W. Wang et al. 10.5194/bg-17-5335-2020
- Distribution models of deep-sea elasmobranchs in the Azores, Mid-Atlantic Ridge, to inform spatial planning D. Das et al. 10.1016/j.dsr.2022.103707
- Causes and climatic influence of centennial-scale denitrification variability in the southeastern Arabian Sea since the last glacial period S. Nagoji & M. Tiwari 10.1017/qua.2020.118
- Constraining nitrogen sources to a seagrass-dominated coastal embayment by using an isotope mass balance approach D. Russell et al. 10.1071/MF21320
- Movement and population dispersal of dolphinfish (Coryphaena hippurus) across the Eastern Tropical Pacific inferred from carbon and nitrogen stable isotope analyses S. Briones‐Hernández et al. 10.1111/jfb.15456
- Assessing Marine Nitrogen Cycle Rates and Process Sensitivities With a Global 3‐D Inverse Model T. Martin et al. 10.1029/2018GB006088
- Modeling oceanic nitrate and nitrite concentrations and isotopes using a 3-D inverse N cycle model T. Martin et al. 10.5194/bg-16-347-2019
- Depth profiles of suspended carbon and nitrogen along a North Pacific transect: Concentrations, isotopes, and ratios S. Dong et al. 10.1002/lno.11989
- Movements and trophic ecology of dolphinfish (Coryphaena hippurus) in the Mexican Central Pacific inferred from stomach content, bulk, and compound-specific stable isotope analyses S. Briones-Hernández et al. 10.1007/s00227-023-04217-0
- The Agulhas Current Transports Signals of Local and Remote Indian Ocean Nitrogen Cycling T. Marshall et al. 10.1029/2022JC019413
22 citations as recorded by crossref.
- Exploring the Effects of Residence Time on the Utility of Stable Isotopes and S/C Ratios as Proxies for Ocean Connectivity E. Stüeken et al. 10.1021/acsearthspacechem.3c00018
- Nitrogen cycling during the Mesoproterozoic as informed by the 1400 million year old Xiamaling Formation X. Wang et al. 10.1016/j.earscirev.2023.104499
- Impact of intensifying nitrogen limitation on ocean net primary production is fingerprinted by nitrogen isotopes P. Buchanan et al. 10.1038/s41467-021-26552-w
- Tropical decadal variability in nutrient supply and phytoplankton community in the Central Equatorial Pacific during the late Holocene T. Guilderson et al. 10.1038/s41598-024-54635-3
- Assessment of C, N, and Si Isotopes as Tracers of Past Ocean Nutrient and Carbon Cycling J. Farmer et al. 10.1029/2020GB006775
- Oceanographic and biogeochemical drivers cause divergent trends in the nitrogen isoscape in a changing Arctic Ocean P. Buchanan et al. 10.1007/s13280-021-01635-6
- Modelling global mesozooplankton biomass using machine learning K. Liu et al. 10.1016/j.pocean.2024.103371
- Southern Ocean sourced waters modulate Eastern Equatorial Pacific denitrification during the Mid-Pleistocene transition P. Diz & M. Pérez-Arlucea 10.1016/j.palaeo.2021.110531
- Equatorial Pacific bulk sediment δ15N supports a secular increase in Southern Ocean nitrate utilization after the mid-Pleistocene Transition J. Lambert et al. 10.1016/j.quascirev.2021.107348
- Constraining the Global Ocean Cu Cycle With a Data‐Assimilated Diagnostic Model S. Roshan et al. 10.1029/2020GB006741
- Particulate Organic Matter in the Atacama Trench: Tracing Sources and Possible Transport Mechanisms to the Hadal Seafloor E. Flores et al. 10.1029/2023JG007401
- Sources and Cycling of Particulate Organic Matter in Baffin Bay: A Multi-Isotope δ13C, δ15N, and Δ14C Approach A. Fox & B. Walker 10.3389/fmars.2022.846025
- Trophic sources and pathways of mesozooplankton and fish larvae in the Kuroshio and its neighboring waters based on stable isotope ratios of carbon and nitrogen T. Kobari et al. 10.1016/j.pocean.2022.102952
- Decadal oscillations in the ocean’s largest oxygen-deficient zone N. Duprey et al. 10.1126/science.adk4965
- Barium in seawater: dissolved distribution, relationship to silicon, and barite saturation state determined using machine learning Ö. Mete et al. 10.5194/essd-15-4023-2023
- Nitrogen uptakes dynamics with environmental variables in the southwest Bay of Bengal K. Priyanka et al. 10.1016/j.qsa.2024.100213
- Data-Driven Modeling of Dissolved Iron in the Global Ocean Y. Huang et al. 10.3389/fmars.2022.837183
- Using geostatistical analysis for simultaneous estimation of isoscapes and ontogenetic shifts in isotope ratios of highly migratory marine fish J. Matsubayashi et al. 10.3389/fmars.2022.1049056
- Global ocean dimethyl sulfide climatology estimated from observations and an artificial neural network W. Wang et al. 10.5194/bg-17-5335-2020
- Distribution models of deep-sea elasmobranchs in the Azores, Mid-Atlantic Ridge, to inform spatial planning D. Das et al. 10.1016/j.dsr.2022.103707
- Causes and climatic influence of centennial-scale denitrification variability in the southeastern Arabian Sea since the last glacial period S. Nagoji & M. Tiwari 10.1017/qua.2020.118
- Constraining nitrogen sources to a seagrass-dominated coastal embayment by using an isotope mass balance approach D. Russell et al. 10.1071/MF21320
6 citations as recorded by crossref.
- Movement and population dispersal of dolphinfish (Coryphaena hippurus) across the Eastern Tropical Pacific inferred from carbon and nitrogen stable isotope analyses S. Briones‐Hernández et al. 10.1111/jfb.15456
- Assessing Marine Nitrogen Cycle Rates and Process Sensitivities With a Global 3‐D Inverse Model T. Martin et al. 10.1029/2018GB006088
- Modeling oceanic nitrate and nitrite concentrations and isotopes using a 3-D inverse N cycle model T. Martin et al. 10.5194/bg-16-347-2019
- Depth profiles of suspended carbon and nitrogen along a North Pacific transect: Concentrations, isotopes, and ratios S. Dong et al. 10.1002/lno.11989
- Movements and trophic ecology of dolphinfish (Coryphaena hippurus) in the Mexican Central Pacific inferred from stomach content, bulk, and compound-specific stable isotope analyses S. Briones-Hernández et al. 10.1007/s00227-023-04217-0
- The Agulhas Current Transports Signals of Local and Remote Indian Ocean Nitrogen Cycling T. Marshall et al. 10.1029/2022JC019413
Latest update: 14 Dec 2024
Short summary
The N isotopic composition of nitrate (
nitrate δ15N) is a useful tracer of ocean N cycling and many other ocean processes. Here, we use a global compilation of marine nitrate δ15N as an input, training, and validating dataset for an artificial neural network (a.k.a.,
machine learning) and examine basin-scale trends in marine nitrate δ15N from the surface to the seafloor.
The N isotopic composition of nitrate (
nitrate δ15N) is a useful tracer of ocean N cycling and...
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