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  • 1
    Online Resource
    Online Resource
    Tokyo :Springer Japan,
    Keywords: Analytical biochemistry. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (360 pages)
    Edition: 1st ed.
    ISBN: 9784431564638
    DDC: 612.01524
    Language: English
    Note: Intro -- Preface -- Contents -- Part I: Overview -- Chapter 1: Metallomics: Integrated Biometal Science -- 1.1 Introduction -- 1.2 Progress of Analytical Atomic Spectrometry -- 1.3 All-Element Present Theory -- 1.4 Chemical Speciation of Trace Metals in Biological Samples -- 1.5 Human Genome Project and the Rapid Rise of Omics Science -- 1.6 Proposal of Metallomics as Integrated Biometal Science-Historical Aspects -- 1.7 International Symposium on Metallomics -- 1.8 Progress of Metallomics Research -- 1.8.1 The Scientific Journal of Metallomics -- 1.8.2 Essentiality and Toxicity of the Elements -- 1.8.3 A Simplified Model of the Biological System -- 1.8.4 Scientific Fields in Trace Metal Science -- 1.8.5 Research Subjects in Metallomics -- 1.9 Summary -- References -- Part II: Analytical Techniques and Strategies Surrounding Metallomics -- Chapter 2: Speciation and Identification of Chalcogen-Containing Metabolites -- 2.1 Introduction -- 2.2 Hyphenated Techniques -- 2.3 Identification of Chalcogen-Containing Metabolites -- 2.3.1 Selenosugars -- 2.3.2 Selenohomolanthionine -- 2.3.3 Selenoneine -- 2.3.4 Selenocyanate -- 2.3.5 Trimethyltelluronium Ion -- 2.3.6 Te-Methyltellurocysteine -- 2.4 Conclusion -- References -- Chapter 3: Visualization of Intracellular Elements Using Scanning X-Ray Fluorescence Microscopy -- 3.1 Imaging Intracellular Elements at the Single-Cell Level Provides New Insights -- 3.2 Scanning X-Ray Fluorescence Microscopy -- 3.2.1 Synchrotron Radiation X-Ray Source -- 3.2.2 X-Ray Focusing Optics -- 3.2.3 Demonstration of SXFM Performance -- 3.3 Applications in Biology and Medicine -- 3.3.1 SXFM Is Now User-Friendly -- 3.3.2 Sample Preparation -- 3.3.3 Basement for Cells -- 3.3.4 Element Array -- 3.3.5 A Cell Line Subjected to Sample Imaging at the Single-Cell Level -- 3.3.6 Clinical Samples. , 3.3.7 Application in Metal Transport with Targeting -- 3.3.8 Transporter -- 3.3.9 Cell-Penetrating Peptides (CPPs) -- 3.4 Future SXFM -- 3.4.1 Improvement of X-Ray Sources -- 3.4.2 High-Resolution SXFM -- 3.4.3 Possible Labeled Probes -- 3.4.4 Application of Medical Probes to SXFM -- 3.4.5 SXFM Application for Different Types of Microscopy -- 3.5 Collaboration on Platforms in Different Fields -- 3.6 Conclusion -- References -- Chapter 4: Quantitative Elemental Bioimaging Protocol Using Femtosecond-Laser Ablation-ICP-Mass Spectrometry Coupled with Glas... -- 4.1 Introduction -- 4.2 Experimental Protocols -- 4.2.1 Instrumentations -- 4.2.2 Sample Preparations -- 4.2.3 Experiment Procedures -- 4.3 Results and Discussion -- 4.3.1 Calibration Strategy -- 4.3.2 Ablated Volume -- 4.3.3 Quantitative Imaging -- 4.4 Conclusion -- References -- Chapter 5: Single Cell Analysis by Using ICP-MS -- 5.1 Introduction -- 5.2 Overview of Cytometric Analysis by Using ICP-MS -- 5.3 ICP Mass Spectrometers for Cytometric Analysis -- 5.4 Cell Introduction Devices for Cytometric Analysis -- 5.5 Application of Cytometric Analysis by Using ICP-MS -- 5.5.1 Highly Sensitive Elemental Analysis by Time-Resolved ICP-MS -- 5.5.2 Mass Cytometry -- 5.6 Single Cell Analysis by Imaging Mass Spectrometry -- 5.7 Conclusion and Future Prospect -- References -- Chapter 6: Synchrotron Radiation X-Ray Analysis of Metal-Accumulating Plants -- 6.1 Introduction -- 6.2 Synchrotron Radiation X-Rays -- 6.3 X-Ray Analyses -- 6.3.1 Interactions of X-Rays with Matter -- 6.3.2 X-Ray Fluorescence -- 6.3.3 X-Ray Absorption Spectroscopy -- 6.3.4 X-Ray Diffraction -- 6.3.5 X-Ray Focusing Optics -- 6.4 Preparation of Biological Materials for Synchrotron Radiation (SR)-Based X-Ray Analyses and Applications in Metallomics -- 6.4.1 What Are Heavy Metal-Accumulating Plants?. , 6.4.2 General Preparation of Biological Materials -- 6.4.3 Example of Direct Analysis of Plant Tissues -- 6.4.4 Preparation and Analyses of Frozen Tissue Sections -- 6.4.5 Liquid and Powder Samples -- 6.4.6 Effects of Biomineralization on the Numbers of Grains Produced -- 6.5 Proposal Application for a Beamline -- 6.6 Prospective X-Ray Microanalyses in Metallomics -- References -- Chapter 7: 77Se NMR Spectroscopy for Speciation Analysis of Selenium Compounds -- 7.1 Introduction -- 7.2 Advantages of NMR Speciation Over Hyphenated Techniques -- 7.3 Observation of 77Se Nuclide in Authentic Standards -- 7.3.1 Chemical Shifts of Bio-selenocompounds by Direct Detection -- 7.3.2 Advanced Techniques for Detection of Bio-selenocompounds -- 7.4 Application of 77Se NMR Spectroscopy to Se Speciation in Biological Samples -- 7.5 Conclusions -- References -- Chapter 8: Protein Quantification and Quantitative Phosphorylation Analysis by the Determination of Hetero Atoms (S and P) by ... -- 8.1 Introduction -- 8.2 Experimental -- 8.2.1 Reagents -- 8.2.2 Tryptic Digestion Procedure -- 8.2.3 NanoHPLC-ICPMS -- 8.2.4 Screening of Phosphorylated Proteins in SDS-PAGE Gel Using LA-ICPMS -- 8.2.5 Evaluation of the Tryptic Digestion Efficiency -- 8.3 Results and Discussion -- 8.3.1 Optimization of the Octopole Reaction Gas Flow -- 8.3.2 Hyphenation of nanoHPLC and ICPMS -- 8.3.3 Assignment of S Atom Composition by the Use of nanoHPLC-ICPMS and Peptide Quantification -- 8.3.4 Tryptic Digestion Efficiency and Protein Quantification -- 8.3.5 Analysis of Degree of Phosphorylation -- 8.4 Conclusions -- References -- Chapter 9: Analysis of Drug Active Pharmaceutical Ingredients and Biomolecules Using Triple Quadrupole ICP-MS -- 9.1 Introduction -- 9.2 ICP-QQQ -- 9.2.1 ICP-QQQ -- 9.2.2 How MS/MS Works with a Reaction Gas -- 9.2.3 Reaction Cell Gas Selection. , 9.3 Application of ICP-QQQ for Drug API Analysis and Life Science Research -- 9.3.1 Drug API Analysis by LC-ICP-QQQ -- 9.3.2 Peptide and Phosphor Peptide Analysis by Capillary-LC-ICP-QQQ -- 9.4 Conclusions -- References -- Chapter 10: Highly Sensitive Analysis of Proteins and Metabolites by Metal Tagging Using LC-ICP-MS -- 10.1 Introduction -- 10.2 Analysis Using Metal Tags -- 10.2.1 Metal Tags and the Metal Tag Reagents -- 10.2.2 Derivatization by the Metal Tag Reagents -- 10.2.3 Separation of the Derivatives -- 10.3 Design of Metal Tags -- 10.3.1 Tags Based on Metal Chelates -- 10.3.2 Tags Based on Heteroatoms Binding with Covalent Bonds -- 10.3.3 Tags Based on Nanoparticles -- 10.4 Biomolecule Analysis by Metal Tags -- 10.4.1 Proteins -- 10.4.2 Amino Acids -- 10.4.3 Organic Acids -- References -- Part III: Application of Metallomics in Molecular Biology, Medicine and Pharmaceutical Sciences -- Chapter 11: Comprehensive Element Analysis of Prokaryotic and Eukaryotic Cells as well as Organelles by ICP-MS -- 11.1 Introduction -- 11.2 Experimental -- 11.2.1 Reagents -- 11.2.2 Samples -- 11.2.2.1 Cell Strains and Culture Conditions -- 11.2.2.2 Isolation of Subcellular Organelles -- 11.2.2.2.1 Isolation of Chloroplast from Spinach Leaves -- 11.2.2.2.2 Isolation of Mitochondria from Potato Tuber Tissues -- 11.2.2.2.3 Isolation of Mitochondria from Bovine Liver Tissues -- 11.2.3 Apparatus -- 11.2.4 Downsized Microwave-Assisted Acid Digestion -- 11.3 Results and Discussion -- 11.3.1 Observation of Intact Cells and Organelles -- 11.3.2 Determination of Major-to-Ultratrace Elements in Unicellular Microorganisms and Subcellular Organelles -- 11.3.3 Elemental Abundance of E. coli -- 11.3.4 Elemental Abundance of Cyanobacteria -- 11.3.5 Elemental Abundance of Chlorella -- 11.3.6 Elemental Abundance of Chloroplast -- 11.3.7 Elemental Abundance of Mitochondria. , 11.4 Conclusion -- References -- Chapter 12: Iron Isotope Signature in Red Blood Cell Samples from Japanese Female Donors of Various Ages -- 12.1 Introduction -- 12.2 Experimental -- 12.2.1 Instrumentation -- 12.2.2 Effects of Fe Valency in Solution on Measured Isotopic Composition -- 12.2.3 Reproducibility of Analysis -- 12.2.4 Sample -- 12.2.5 Sample Preparation -- 12.2.6 Dietary Survey -- 12.3 Results and Discussion -- 12.3.1 Gender Difference in Fe Isotope Ratio -- 12.3.2 Effects of Age -- 12.3.3 Differences Among Race -- 12.3.4 Effect of Biological and Nutritional Data on Fe Isotopes -- 12.3.5 Conclusive Remarks -- Acknowledgments -- References -- Chapter 13: Roles of Zinc Transporters in Cellular Transport of Cadmium and Manganese -- 13.1 Introduction -- 13.2 Cadmium Transport from a Viewpoint of Metallomics -- 13.2.1 Multiple Candidate Transporters for Cadmium Transport -- 13.2.2 Establishment of Cadmium-Resistant Cells from Metallothionein-Null Cells -- 13.2.3 Metallomics Approach to Identify Cadmium Transporter -- 13.3 The Roles of ZIP8 and ZIP14 in Cadmium Transport -- 13.3.1 Identification of ZIP8 and ZIP14 as Cadmium Transporters -- 13.3.2 Characterization of ZIP8 and ZIP14 as Cadmium Transporters -- 13.3.3 The Roles of ZIP8 and ZIP14 in Cadmium Transport in the Kidney -- 13.4 The Roles of ZIP8 and ZIP14 in Manganese Transport -- 13.4.1 Interactions of Cd and Mn Transport in Nonmammalian Species -- 13.4.2 RBL-2H3 Cell Line as a Model of Cellular Manganese Transport -- 13.4.3 Manganese Transport in Neuronal Cells -- 13.5 Human Diseases Related to Disturbances in Manganese Transport -- 13.5.1 ZnT10 Mutation and Hyperaccumulation of Manganese -- 13.5.2 ZIP8 Mutation and Disorders of Glycosylation -- 13.6 Conclusion -- References. , Chapter 14: Link Between Metal Homeostasis and Neurodegenerative Diseases: Crosstalk of Metals and Amyloidogenic Proteins at t.
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  • 2
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    PANGAEA
    In:  Supplement to: Soppa, Mariana A; Hirata, Takafumi; Silva, Brenner; Dinter, Tilman; Peeken, Ilka; Wiegmann, Sonja; Bracher, Astrid (2014): Global retrieval of diatom abundance based on phytoplankton pigments and satellite data. Remote Sensing, 6(10), 10089-10106, https://doi.org/10.3390/rs61010089
    Publication Date: 2023-05-12
    Description: Diatoms are the major marine primary producers on the global scale and, recently, several methods have been developed to retrieve their abundance or dominance from satellite remote sensing data. In this work, we highlight the importance of the Southern Ocean (SO) in developing a global algorithm for diatom using an Abundance Based Approach (ABA). A large global in situ data set of phytoplankton pigments was compiled, particularly with more samples collected in the SO. We revised the ABA to take account of the information on the penetration depth (Zpd) and to improve the relationship between diatoms and total chlorophyll-a (TChla). The results showed that there is a distinct relationship between diatoms and TChla in the SO, and a new global model (ABAZpd) improved the estimation of diatoms abundance by 28% in the SO compared with the original ABA model. In addition, we developed a regional model for the SO which further improved the retrieval of diatoms by 17% compared with the global ABAZpd model. As a result, we found that diatom may be more abundant in the SO than previously thought. Linear trend analysis of diatom abundance using the regional model for the SO showed that there are statistically significant trends, both increasing and decreasing, in diatom abundance over the past eleven years in the region.
    Keywords: AWI; AWI_PhyOce; Physical Oceanography @ AWI
    Type: Dataset
    Format: application/zip, 10 datasets
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  • 3
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
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  • 4
    Publication Date: 2017-03-06
    Description: Phytoplankton are composed of diverse taxonomical groups, which are manifested as distinct morphology, size, and pigment composition. These characteristics, modulated by their physiological state, impact their light absorption and scattering, allowing them to be detected with ocean color satellite radiometry. There is a growing volume of literature describing satellite algorithms to retrieve information on phytoplankton composition in the ocean. This synthesis provides a review of current methods and a simplified comparison of approaches. The aim is to provide an easily comprehensible resource for non-algorithm developers, who desire to use these products, thereby raising the level of awareness and use of these products and reducing the boundary of expert knowledge needed to make a pragmatic selection of output products with confidence. The satellite input and output products, their associated validation metrics, as well as assumptions, strengths, and limitations of the various algorithm types are described, providing a framework for algorithm organization to assist users and inspire new aspects of algorithm development capable of exploiting the higher spectral, spatial and temporal resolutions from the next generation of ocean color satellites.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 5
    Publication Date: 2017-03-06
    Description: To improve our understanding of the role of phytoplankton for marine ecosystems and global biogeochemical cycles, information on the global distribution of major phytoplankton groups is essential. Although algorithms have been developed to assess phytoplankton diversity from space for over two decades, so far the application of these data sets has been limited. This scientific roadmap identifies user needs, summarizes the current state of the art, and pinpoints major gaps in long-term objectives to deliver space-derived phytoplankton diversity data that meets the user requirements. These major gaps in using ocean color to estimate phytoplankton community structure were identified as: (a) the mismatch between satellite, in situ and model data on phytoplankton composition, (b) the lack of quantitative uncertainty estimates provided with satellite data, (c) the spectral limitation of current sensors to enable the full exploitation of backscattered sunlight, and (d) the very limited applicability of satellite algorithms determining phytoplankton composition for regional, especially coastal or inland, waters. Recommendation for actions include but are not limited to: (i) an increased communication and round-robin exercises among and within the related expert groups, (ii) the launching of higher spectrally and spatially resolved sensors, (iii) the development of algorithms that exploit hyperspectral information, and of (iv) techniques to merge and synergistically use the various streams of continuous information on phytoplankton diversity from various satellite sensors' and in situ data to ensure long-term monitoring of phytoplankton composition.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 6
    Publication Date: 2017-01-24
    Description: Ocean color remote sensing of chlorophyll concentration has revolutionized our understanding of the biology of the oceans. However, a comprehensive understanding of the structure and function of oceanic ecosystems requires the characterization of the spatio-temporal variability of various phytoplankton functional types (PFTs), which have differing biogeochemical roles. Thus, recent bio-optical algorithm developments have focused on retrieval of various PFTs. It is important to validate and inter-compare the existing PFT algorithms; however direct comparison of retrieved variables is non-trivial because in those algorithms PFTs are defined differently. Thus, it is more plausible and potentially more informative to focus on emergent properties of PFTs, such as phenology. Furthermore, ocean color satellite PFT data sets can play a pivotal role in informing and/or validating the biogeochemical routines of Earth System Models. Here, the phenological characteristics of 10 PFT satellite algorithms and 7 latest-generation climate models from the Coupled Model Inter-comparison Project (CMIP5) are intercompared as part of the International Satellite PFT Algorithm Inter-comparison Project. The comparison is based on monthly satellite data (mostly SeaWiFS) for the 2003–2007 period. The phenological analysis is based on the fraction of microplankton or a similar variable for the satellite algorithms and on the carbon biomass due to diatoms for the climate models. The seasonal cycle is estimated on a per-pixel basis as a sumof sinusoidal harmonics, derived from the Discrete Fourier Transform of the variable time series. Peak analysis is then applied to the estimated seasonal signal and the following phenological parameters are quantified for each satellite algorithm and climate model: seasonal amplitude, percent seasonal variance, month of maximum, and bloom duration. Secondary/double blooms occur in many areas and are also quantified. The algorithms and the models are quantitatively compared based on these emergent phenological parameters. Results indicate that while algorithms agree to a first order on a global scale, large differences among themexist; differences are analyzed in detail for two Longhurst regions in the North Atlantic: North Atlantic Drift Region (NADR) and North Atlantic Subtropical Gyre West (NASW). Seasonal cycles explain the most variance in zonal bands in the seasonally-stratified subtropics at about 30° latitude in the satellite PFT data. The CMIP5 models do not reproduce this pattern, exhibiting higher seasonality in mid and high-latitudes and generally much more spatially homogeneous patterns in phenological indices compared to satellite data. Satellite data indicate a complex structure of double blooms in the Equatorial region and mid-latitudes, and single blooms on the poleward edges of the subtropical gyres. In contrast, the CMIP5 models showsingle annual blooms over most of the ocean except for the Equatorial band and Arabian Sea.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 7
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    National Aeronautics and Spacs Administration
    In:  EPIC3(The International Ocean-Colour Coordinating Group (IOCCG) 25-26 October 2014, Portland, Maine, USA) (NASA/TM-2015-217528), Greenbelt, Maryland, USA, National Aeronautics and Spacs Administration, 40 p., ISBN: NASA/TM–2015-217528
    Publication Date: 2017-01-24
    Description: The IOCCG-supported workshop “Phytoplankton Composition from Space: towards a validation strategy for satellite algorithms” was organized as a follow-up to the Phytoplankton Functional Types from Space splinter session, held at the International Ocean Colour Science Meeting (Germany, 2013). The specific goals of the workshop were to: 1.Provide a summary of the status of activities from relevant IOCCG working groups, the 2nd PFT intercomparison working group, PFT validation data sets and other research developments. 2.Provide a PFT validation strategy that considers the different applications of PFT products: and seeks community consensus on datasets and analysis protocols. 3.Discuss possibilities for sustaining ongoing PFT algorithm validation and intercomparison activities. The workshop included 15 talks, breakout sessions and plenary discussions. Talks covered community algorithm intercomparison activity updates, review of established and novel methods for PFT validation, validation activities for specific applications and space-agency requirements for PFT products and validation. These were followed by general discussions on (a) major recommendations for global intercomparison initiative in respect to validation, intercomparison and user’s guide; (b) developing a community consensus on which data sets for validation are optimal and which measurement and analysis protocols should be followed to support sustained validation of PFT products considering different applications; (c) the status of different validation data bases and measurement protocols for different PFT applications, and (d) engagement of the various user communities for PFT algorithms in developing PFT product specifications. From these discussions, two breakout groups provided in depth discussion and recommendations on (1) validation of current algorithms and (2) work plan to prepare for validation of future missions. Breakout group 1 provided an action list for progressing the current international community validation and intercomparison activity. Breakout group 2 provided the following recommendations towards developing a future validation strategy for satellite PFT products: 1. Establish a number of validation sites that maintain measurements of a key set of variables. 2. This set of variables should include: •Phytoplankton pigments from HPLC, phycobilins from spectrofluorometry •Phytoplankton cell counts and ID, volume / carbon estimation and imaging (e.g. from flow cytometry, FlowCam, FlowCytobot type technologies) •Inherent optical properties (e.g. absorption, backscattering, VSF) •Hyperspectral radiometry (both above and in-water) •Particle size distribution •Size-fractionated measurements of pigments and absorption •Genetic / -omics data 3. Undertake an intercomparison of methods / instruments over several years at a few sites to understand our capabilities to fully characterize the phytoplankton community. 4. Organise workshops to address the following topics: •Techniques for particle analysis, characterization and classification •Engagement with modellers and understanding end-user requirements •Data storage and management, standards for data contributors, data challenges In conclusion, the workshop was assessed to have fulfilled its goals. A follow-on meeting will be organized during the International Ocean Colour Science Meeting 2015 in San Francisco. Specific follow-on actions are listed at the end of the report.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Book , peerRev
    Format: application/pdf
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  • 8
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    Multidisciplinary Digital Publishing Institute (MDPI AG)
    In:  EPIC3Remote Sensing, Multidisciplinary Digital Publishing Institute (MDPI AG), 6(10), pp. 10089-10106, ISSN: 2072-4292
    Publication Date: 2017-01-05
    Description: Diatoms are the major marine primary producers on the global scale and, recently, several methods have been developed to retrieve their abundance or dominance from satellite remote sensing data. In this work, we highlight the importance of the Southern Ocean (SO) in developing a global algorithm for diatom using an Abundance Based Approach (ABA). A large global in situ data set of phytoplankton pigments was compiled, particularly with more samples collected in the SO. We revised the ABA to take account of the information on the penetration depth (Zpd) and to improve the relationship between diatoms and total chlorophyll-a (TChla). The results showed that there is a distinct relationship between diatoms and TChla in the SO, and a new global model (ABAZpd) improved the estimation of diatoms abundance by 28% in the SO compared with the original ABA model. In addition, we developed a regional model for the SO which further improved the retrieval of diatoms by 17% compared with the global ABAZpd model. As a result, we found that diatom may be more abundant in the SO than previously thought. Linear trend analysis of diatom abundance using the regional model for the SO showed that there are statistically significant trends, both increasing and decreasing, in diatom abundance over the past eleven years in the region.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 9
    Publication Date: 2022-05-25
    Description: © The Author(s), 2015. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Biogeosciences 12 (2015): 6955-6984, doi:10.5194/bg-12-6955-2015.
    Description: Past model studies have projected a global decrease in marine net primary production (NPP) over the 21st century, but these studies focused on the multi-model mean rather than on the large inter-model differences. Here, we analyze model-simulated changes in NPP for the 21st century under IPCC's high-emission scenario RCP8.5. We use a suite of nine coupled carbon–climate Earth system models with embedded marine ecosystem models and focus on the spread between the different models and the underlying reasons. Globally, NPP decreases in five out of the nine models over the course of the 21st century, while three show no significant trend and one even simulates an increase. The largest model spread occurs in the low latitudes (between 30° S and 30° N), with individual models simulating relative changes between −25 and +40 %. Of the seven models diagnosing a net decrease in NPP in the low latitudes, only three simulate this to be a consequence of the classical interpretation, i.e., a stronger nutrient limitation due to increased stratification leading to reduced phytoplankton growth. In the other four, warming-induced increases in phytoplankton growth outbalance the stronger nutrient limitation. However, temperature-driven increases in grazing and other loss processes cause a net decrease in phytoplankton biomass and reduce NPP despite higher growth rates. One model projects a strong increase in NPP in the low latitudes, caused by an intensification of the microbial loop, while NPP in the remaining model changes by less than 0.5 %. While models consistently project increases NPP in the Southern Ocean, the regional inter-model range is also very substantial. In most models, this increase in NPP is driven by temperature, but it is also modulated by changes in light, macronutrients and iron as well as grazing. Overall, current projections of future changes in global marine NPP are subject to large uncertainties and necessitate a dedicated and sustained effort to improve the models and the concepts and data that guide their development.
    Description: C. Laufkötter and the research leading to these results have received funding from the European Community’s Seventh Framework Programme (FP7 2007–2013) under grant agreements no. 238366 (Greencycles II) and 264879 (CarboChange). M. Vogt and N. Gruber acknowledge funding by ETH Zürich. S. C. Doney and I. D. Lima acknowledge support from NSF (AGS-1048827).
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
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  • 10
    ISSN: 1520-6882
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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