1,603 results on '"School of Marine Science and Technology"'
Search Results
2. Scalable Lateral Mixing and Coherent Turbulence DRI: Use of an AUV to Quantify Submesoscale Mixing Processes
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MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, Goodman, Louis, MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, and Goodman, Louis
- Abstract
The long-term goal of this project is to understand the role of ocean turbulence in submesoscale dynamics.
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- 2012
3. LIDAR and Numerical Modeling Studies of Small-Scale Lateral Dispersion in the Ocean
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MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, Sundermeyer, Miles A, MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, and Sundermeyer, Miles A
- Abstract
One objective of our work is to determine the extent to which shear dispersion the interaction of vertical mixing with vertical shear can explain lateral dispersion at scales of 10 m to 10 km. A second objective is to determine whether slow but persistent vortices enhance the stirring attributable to shear dispersion. We also share the overall objectives of the Lateral Mixing DRI to try to determine the extent to which submesoscale stirring is driven by a cascade of energy down (in wavelength) from the mesoscale, versus a propagation of energy upwards from small mixing events (e.g., via generation of vortices). A key technical goal of our work is to develop the use of airborne LIDAR surveys of evolving dye experiments as a tool for studying submesoscale lateral dispersion.
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- 2012
4. An Investigation of the Influence of Waves on Sediment Processes in Skagit Bay
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MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, Cowles, Geoffrey W, MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, and Cowles, Geoffrey W
- Abstract
In this work we will employ an unstructured grid, coupled wave-current-sediment model to study the influence of wave-induced near bottom stresses on the sediment transport and morphological change within the Skagit River delta and Skagit Bay in Western Washington. The resulting coupled wave-current model will resolve the influence of external processes, including tidal forcing, buoyant river discharge, fluvial sediment supply and wind on tidal flat sediment transport. It will be used to evaluate the capabilities of state-of-the-art open source sediment models and to examine dynamic processes influencing net sediment transport over tidal flats and channel networks including convergence fronts; tidal asymmetries; buoyancy forcing; spatial and temporal variations in bed stress; and interactions between channel networks and adjacent tidal flats., The original document contains color images.
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- 2012
5. Development of Turbulent Biological Closure Parameterizations
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MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, Goodman, Louis, MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, and Goodman, Louis
- Abstract
LONG-TERM GOAL: The long-term goals of this project are: (1) to develop a theoretical framework to quantify turbulence induced NPZ interactions. (2) to apply the theory to develop parameterizations to be used in realistic environmental physical biological coupling numerical models. OBJECTIVES: Connect the Goodman and Robinson (2008) statistically based pdf theory to Advection Diffusion Reaction (ADR) modeling of NPZ interaction.
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- 2011
6. An Investigation of the Influence of Waves on Sediment Processes in Skagit Bay
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MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, Cowles, Geoffrey W, MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, and Cowles, Geoffrey W
- Abstract
In this work we will employ an unstructured grid, coupled wave-current-sediment model to study the influence of wave-induced near bottom stresses on the sediment transport and morphological change within the Skagit River delta and Skagit Bay in Western Washington. The resulting coupled wave-current model will resolve the influence of external processes, including tidal forcing, buoyant river discharge, fluvial sediment supply and wind on tidal flat sediment transport. It will be used to evaluate the capabilities of state-of-the-art open source sediment models and to examine dynamic processes influencing net sediment transport over tidal flats and channel networks including convergence fronts; tidal asymmetries; buoyancy forcing; spatial and temporal variations in bed stress; and interactions between channel networks and adjacent tidal flats. Our project is designed to meet the following objectives: couple the existing high-resolution hydro-sediment model of Skagit Bay with a phase-averaged surface wave model, work closely with field measurement programs on the North Fork Flats (S. Elgar and B. Raubenheimer [WHOI]) and South Fork Flats (R. Geyer, P. Traykovski, and D. Ralston [WHOI]) on model-observation comparisons and validation; and use the coupled model to characterize the wave-current regime in Skagit Bay and the spatial distribution of wave-induced bottom shear stresses and their role in the large-scale morphodynamics of the flats. Both of these models were developed with support from the ONR Tidal Flats DRI (N00014-08-1-1115)., ONR Tidal Flat Dynamics Departmental Research Initiative
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- 2011
7. LIDAR Studies of Small-Scale Lateral Dispersion in the Ocean
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MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, Sundermeyer, Miles A, MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, and Sundermeyer, Miles A
- Abstract
Our long-term goal is to better understand lateral mixing processes in the ocean on scales of 10 m to 10 km (i.e., the submesoscale). We aim to understand the underlying mechanisms and forcing, as well as the temporal, spatial, and scale variability of such mixing. The research will contribute to fundamental knowledge of ocean dynamics at these scales, and to efforts to properly parameterize sub-grid scale mixing and stirring in numerical models. Ultimately our research also will enhance modeling and understanding of upper ocean ecosystems, since the flow of nutrients and plankton depends on stirring and mixing at these scales. One objective of our work is to determine the extent to which shear dispersion -- the interaction of vertical mixing with vertical shear -- can explain lateral dispersion at scales of 10 m to 10 km. A second objective is to determine whether slow but persistent vortices enhance the stirring attributable to shear dispersion. We also share the overall objectives of the Lateral Mixing DRI to try to determine the extent to which submesoscale stirring is driven by a cascade of energy down (in wavelength) from the mesoscale versus a propagation of energy upwards from small mixing events (e.g., via generation of vortices). A key technical goal of our work is to develop the use of airborne LIDAR surveys of evolving dye experiments as a tool for studying submesoscale lateral dispersion. Our approach is to release dye patches on an isopycnal surface in the seasonal pycnocline, and to survey their evolution for periods of 1 to 6 days in collaboration with other investigators in the DRI. Drogues released with the dye not only help with tracking, but also give valuable measurements of the shear/strain field on the outer scale of the patches. Lagrangian floats released with the dye patches give measurements of vertical shear and strain following the patch. The dye patches are sampled not only with towed instruments from ships, but also with airborne LIDAR., Sponsored in part by ONR award MIPR-N0001411WX21010.
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- 2011
8. An Investigation of Dynamical Processes Influencing Sediment Transport and Morphological Change in Skagit Bay using an Unstructured Grid Coastal Ocean Model
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MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, Cowles, Geoffrey W, MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, and Cowles, Geoffrey W
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A high resoluton ocena model is configured to resolve the hydrodynamic processes in Skagit Bay, Washington. Model skill is evaluated by comparison with tidal harmonics. A sequence of meshes is employed to establish grid independence of the resulting solution. Resolution of the flooding/drying process is evaluated by comparison with a wet/dry front resolving scheme.
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- 2011
9. LIDAR and Numerical Modeling Studies of Small-Scale Lateral Dispersion in the Ocean
- Author
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MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, Sundermeyer, Miles A., MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, and Sundermeyer, Miles A.
- Abstract
Our long-term goal is to better understand lateral mixing processes on scales of 0.1-10 km in the ocean. This includes the underlying mechanisms and forcing, as well as the temporal, spatial, and scale variability of such mixing. The particular goal of the present work is to directly observe the processes governing lateral stirring at these scales via high resolution dye release experiments using airborne LIDAR. The broad impacts of this research range from a better understanding of ocean ecosystems and ocean health, to improved parameterizations in numerical models, to a variety of other practical purposes.
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- 2010
10. Scalable Lateral Mixing and Coherent Turbulence DRI: Use of an AUV to Quantify Submesoscale Mixing Processes
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MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, Goodman, Louis, MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, and Goodman, Louis
- Abstract
The long-term goal of this project is to quantify the driving mechanisms and pathways of dissipation of lateral submesoscale mixing. A major thrust is understanding the role that cascade processes, both forward and backward, play in connecting submesoscale variability to 3D turbulence., The original document contains color images.
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- 2009
11. AUV Turbulence Measurements in the LOCO Field Experiments
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MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, Goodman, Louis, MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, and Goodman, Louis
- Abstract
The long-term goal of this project is to quantify the role of turbulence and fine scale vertical shear and buoyancy on the formation, evolution, and breakdown of thin phytoplankton layers. Particular attention is given to understanding the relationship of the space and time statistics of the physical fields to that of the phytoplankton thin layers
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- 2009
12. An Investigation of Dynamical Processes Influencing Sediment Transport and Morphological Change in Skagit Bay using an Unstructured Grid Coastal Ocean Model
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MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, Cowles, Geoffrey W., MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, and Cowles, Geoffrey W.
- Abstract
In this work, we will employ a high-resolution coupled hydrodynamic-sediment model to examine the relative importance of the principal mechanisms controlling the morphodynamics of Skagit Bay. Using the measurements from the extensive observation program supported through the tidal flats DRI, we will examine the capability of a state of the art coastal ocean model, and determine what future extensions may be necessary for continued discovery in this field. Through extensive grid refinement efforts and available high-fidelity bathymetry, a better understanding of the mesh resolution required to resolve the critical processes will be gained. This will guide future application of this class of model. OBJECTIVES In this project, we will configure an advanced coupled hydrodynamic-sediment model for simulation of the circulation and sediment transport in Skagit Bay. The model will resolve the range of required scales from the open boundary in Puget Sound (~ 50 km) to the channel networks on the flats (~10-100 m). The coupled model will be validated using available measurements to determine the capabilities and needs of such a system for this class of application. Grid convergence studies will be performed to determine the necessary mesh resolution required to resolve the dominant processes. We will employ the calibrated coupled model to evaluate the relative importance and influence of observed external forcing (fluvial, tidal, wind, wind-wave and surface heating) on sediment dynamics and morphological change of the inter-tidal region of Skagit Bay over a range of time scales from tidal to seasonal.
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- 2009
13. Development of Turbulent Biological Closure Parameterizations
- Author
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MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, Goodman, Louis, MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, and Goodman, Louis
- Abstract
The long-term goals of this project are: (1) to develop a theoretical framework to quantify turbulence induced NPZ interactions. (2) to apply the theory to develop parameterizations to be used in realistic environmental physical biological coupling numerical models.
- Published
- 2009
14. LIDAR and Numerical Modeling Studies of Small-Scale Lateral Dispersion in the Ocean
- Author
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MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, Sundermeyer, Miles A., MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, and Sundermeyer, Miles A.
- Abstract
Our long-term goal is to better understand lateral mixing processes on scales of 0.1-10 km in the ocean. This includes the underlying mechanisms and forcing, as well as the temporal, spatial, and scale variability of such mixing. The particular goal of the present work is to directly observe the processes governing lateral stirring at these scales via high resolution dye release experiments using airborne LIDAR. The broad impacts of this research range from a better understanding of ocean ecosystems and ocean health, to improved parameterizations in numerical models, to a variety of other practical purposes.
- Published
- 2009
15. Use of an AUV to Quantify Submesoscale Mixing Processes
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MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, Goodman, Louis, MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, and Goodman, Louis
- Abstract
This project provided planning support to attend meetings and perform preliminary calculations for the ONR DRI Scalable Lateral Mixing and Coherent Turbulence project "Use of an AUV to Quantify Submesoscale Mixing Processes" which commenced in FY 09. The long-term goal of this project is to quantify the driving mechanisms and pathways of dissipation of lateral submesoscale mixing. A major thrust is understanding the role that cascade processes, both forward and backward, play in connecting submesoscale variability to 3D turbulence.
- Published
- 2009
16. Development of Turbulent Biological Closure Parameterizations
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MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, Goodman, Louis, MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, and Goodman, Louis
- Abstract
The long-term goal of this project is to understand and represent the dynamical role of planktonic fluctuations induced by physical turbulence. Additionally, this work is intended to be the basis of an efficient representation and methodology which will allow their inclusion in real ocean mean field dynamical models. I. Extend Goodman and Robinson (2007) statistically based theory to include a greater variety of fundamental biophysical dynamical processes; II. Development of turbulent subgrid scale parameterizations for non linear biophysical interaction; III. Application of the PDF theory and the parameterized Advective Diffusive Reaction (ADR) model to oceanographically relevant processes.
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- 2008
17. AUV Turbulence Measurements in the LOCO Field Experiments
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MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, Goodman, Louis, MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, and Goodman, Louis
- Abstract
The long-term goal of this project is to quantify the role of turbulence and fine scale vertical shear and buoyancy on the formation, evolution, and breakdown of thin phytoplankton layers. Particular attention is given to understanding the relationship of the space and time statistics of the physical fields to that of the phytoplankton thin layers. (1) Quantify the horizontal and vertical structure of turbulence and identify the most probable mechanism of generation and maintenance. Particular attention will be given to the turbulent field arising from the internal wave train. Estimate the micro and fine scale parameters relating to thin layer studies: the turbulent dissipation rate, the buoyancy Reynolds number, the turbulent rms velocity, the turbulent eddy diffusivity, fine scale velocity shear, and fine scale stratification. (2) Examine the role of turbulence on the evolution of the spatial structure of thin phytoplankton layers. (3) Quantify the role of physical processes, such as turbulence mixing (diffusion), shear dispersion, and mean current advection on the temporal and spatial distribution and evolution of thin layers in the coastal ocean. The observational approach is to use the Autonomous Underwater Vehicle, T-REMUS. T-REMUS is a custom designed REMUS 100 vehicle manufactured by Hydroid Inc., containing the Rockland Microstructure Measurement System (RMMS), an upward and downward looking 1.2 MHz ADCP, a FASTCAT Seabird CTD, and a WET Labs BB2F Combination Spectral Backscattering Meter/ Chlorophyll Fluormeter. In addition, the vehicle contains a variety of "hotel" sensors which measure pitch, roll, yaw, and other internal dynamical parameters.
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- 2008
18. This title is unavailable for guests, please login to see more information.
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Assistant Professor, Graduate School of Marine Science and Technology, Tokyo University of Marine Science and Technology, Assistant Professor, Graduate School of Media and Governance, Keio University, Professor, Faculty of Policy Management, Keio University, Ogawa, Mikako, Umejima, Masaki, Kokuryo, Jiro, Assistant Professor, Graduate School of Marine Science and Technology, Tokyo University of Marine Science and Technology, Assistant Professor, Graduate School of Media and Governance, Keio University, Professor, Faculty of Policy Management, Keio University, Ogawa, Mikako, Umejima, Masaki, and Kokuryo, Jiro
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- 2007
19. AUV Turbulence Measurements in the LOCO Field Experiments
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MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, Goodman, Louis, MASSACHUSETTS UNIV DARTMOUTH SCHOOL FOR MARINE SCIENCE AND TECHNOLOGY, and Goodman, Louis
- Abstract
The long-term goal of this project is to quantify the role of turbulence and fine scale vertical shear and buoyancy on the formation, evolution, and breakdown of plankton thin layers. Particular attention is given to understanding the relationship of the space and time statistics of the physical fields to that of the plankton thin layers. (1) Quantify the space and time statistics of the turbulent field both within and around thin layers. Estimate the micro and fine scale parameters: the turbulent dissipation rate, the turbulent rms velocity, the turbulent eddy diffusivity, fine scale velocity shear, and fine scale stratification. (2) Quantify the temporal and spatial scales of thin layers of phytoplankton. (3) Quantify the role of physical processes, such as turbulence mixing (diffusion), shear dispersion, and mean current advection on the temporal and spatial distribution and evolution of thin layers in the coastal ocean.
- Published
- 2007
20. Substrate-Coated Illumination Droplet Spray Ionization: Real-Time Monitoring of Photocatalytic Reactions
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You, Hong [Harbin Institute of Technology at Weihai, School of Marine Science and Technology (China)]
- Published
- 2017
- Full Text
- View/download PDF
21. Genetic population structure and demography of an apex predator, the tiger shark Galeocerdo cuvier
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Pirog, Agathe, Jaquemet, Sébastien, Ravigné, Virginie, Cliff, Geremy, Clua, Eric, Holmes, Bonnie, Hussey, Nigel, Nevill, John E. G., Temple, Andrew, Berggren, Per, Vigliola, Laurent, Magalon, Hélène, Ecologie marine tropicale dans les Océans Pacifique et Indien (ENTROPIE [Réunion]), Centre National de la Recherche Scientifique (CNRS)-Université de La Réunion (UR)-Institut de Recherche pour le Développement (IRD), Laboratoire d'Ecologie Marine (ECOMAR), Université de La Réunion (UR), Peuplements végétaux et bioagresseurs en milieu tropical (UMR PVBMT), Institut de Recherche pour le Développement (IRD)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de La Réunion (UR)-Institut National de la Recherche Agronomique (INRA), Biomedical Resource Unit, University of KwaZulu-Natal (UKZN), Laboratoire d'Excellence CORAIL (LabEX CORAIL), Université des Antilles (UA)-Institut d'écologie et environnement-Université de la Nouvelle Calédonie (UNC)-Université de la Polynésie Française (UPF)-Université de La Réunion (UR)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-École pratique des hautes études (EPHE)-École des hautes études en sciences sociales (EHESS)-Université des Antilles et de la Guyane (UAG)-Institut de Recherche pour le Développement (IRD), Centre for Marine Science, School of Biological Sciences, University of Queensland, University of Queensland [Brisbane], University of Windsor [Ca], School of Natural and Environmental Sciences, Newcastle University [Newcastle], School of Marine Science and Technology, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Université de La Réunion (UR), Université des Antilles (UA)-Institut d'écologie et environnement-Université de la Nouvelle-Calédonie (UNC)-Université de la Polynésie Française (UPF)-Université de La Réunion (UR)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École des hautes études en sciences sociales (EHESS)-Université des Antilles et de la Guyane (UAG)-Institut de Recherche pour le Développement (IRD), Centre de recherches insulaires et observatoire de l'environnement (CRIOBE), Université de Perpignan Via Domitia (UPVD)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Ecologie marine tropicale des océans Pacifique et Indien (ENTROPIE [Nouvelle-Calédonie]), Ifremer - Nouvelle-Calédonie, Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie])-Université de la Nouvelle-Calédonie (UNC), Institut de Recherche pour le Développement (IRD)-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS), University of KwaZulu-Natal [Durban, Afrique du Sud] (UKZN), Institut de Recherche pour le Développement (IRD)-Université des Antilles et de la Guyane (UAG)-École des hautes études en sciences sociales (EHESS)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de La Réunion (UR)-Université de la Polynésie Française (UPF)-Université de la Nouvelle-Calédonie (UNC)-Institut d'écologie et environnement-Université des Antilles (UA), Université de Perpignan Via Domitia (UPVD)-École Pratique des Hautes Études (EPHE), Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie])-Ifremer - Nouvelle-Calédonie, and Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de la Nouvelle-Calédonie (UNC)
- Subjects
bottleneck ,[SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE] ,tiger shark ,mitochondrial DNA ,L10 - Génétique et amélioration des animaux ,Requin ,[SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics ,approximate Bayesian computation ,Variation génétique ,lcsh:QH540-549.5 ,Dynamique des populations ,microsatellite DNA ,lcsh:Ecology ,L20 - Écologie animale ,Galeocerdo cuvier ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,effective population size ,Original Research - Abstract
International audience; Population genetics has been increasingly applied to study large sharks over the last decade. Whilst large shark species are often difficult to study with direct methods, improved knowledge is needed for both population management and conservation, especially for species vulnerable to anthropogenic and climatic impacts. The tiger shark, Galeocerdo cuvier, is an apex predator known to play important direct and indirect roles in tropical and subtropical marine ecosystems. While the global and Indo‐West Pacific population genetic structure of this species has recently been investigated, questions remain over population structure and demographic history within the western Indian (WIO) and within the western Pacific Oceans (WPO). To address the knowledge gap in tiger shark regional population structures, the genetic diversity of 286 individuals sampled in seven localities was investigated using 27 microsatellite loci and three mitochondrial genes (CR, COI, and cytb). A weak genetic differentiation was observed between the WIO and the WPO, suggesting high genetic connectivity. This result agrees with previous studies and highlights the importance of the pelagic behavior of this species to ensure gene flow. Using approximate Bayesian computation to couple information from both nuclear and mitochondrial markers, evidence of a recent bottleneck in the Holocene (2,000–3,000 years ago) was found, which is the most probable cause for the low genetic diversity observed. A contemporary effective population size as low as 111 [43,369] was estimated during the bottleneck. Together, these results indicate low genetic diversity that may reflect a vulnerable population sensitive to regional pressures. Conservation measures are thus needed to protect a species that is classified as Near Threatened.
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- 2019
- Full Text
- View/download PDF
22. The Malina oceanographic expedition: How do changes in ice cover, permafrost and UV radiation impact biodiversity and biogeochemical fluxes in the Arctic Ocean?
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P. Massicotte, R. M. W. Amon, D. Antoine, P. Archambault, S. Balzano, S. Bélanger, R. Benner, D. Boeuf, A. Bricaud, F. Bruyant, G. Chaillou, M. Chami, B. Charrière, J. Chen, H. Claustre, P. Coupel, N. Delsaut, D. Doxaran, J. Ehn, C. Fichot, M.-H. Forget, P. Fu, J. Gagnon, N. Garcia, B. Gasser, J.-F. Ghiglione, G. Gorsky, M. Gosselin, P. Gourvil, Y. Gratton, P. Guillot, H. J. Heipieper, S. Heussner, S. B. Hooker, Y. Huot, C. Jeanthon, W. Jeffrey, F. Joux, K. Kawamura, B. Lansard, E. Leymarie, H. Link, C. Lovejoy, C. Marec, D. Marie, J. Martin, J. Martín, G. Massé, A. Matsuoka, V. McKague, A. Mignot, W. L. Miller, J.-C. Miquel, A. Mucci, K. Ono, E. Ortega-Retuerta, C. Panagiotopoulos, T. Papakyriakou, M. Picheral, L. Prieur, P. Raimbault, J. Ras, R. A. Reynolds, A. Rochon, J.-F. Rontani, C. Schmechtig, S. Schmidt, R. Sempéré, Y. Shen, G. Song, D. Stramski, E. Tachibana, A. Thirouard, I. Tolosa, J.-É. Tremblay, M. Vaïtilingom, D. Vaulot, F. Vaultier, J. K. Volkman, H. Xie, G. Zheng, M. Babin, Takuvik Joint International Laboratory ULAVAL-CNRS, Université Laval [Québec] (ULaval)-Centre National de la Recherche Scientifique (CNRS), Department of Marine and Coastal Environmental Science [Galveston], Texas A&M University [Galveston], Department of Oceanography [College Station], Texas A&M University [College Station], School of Earth and Planetary Sciences [Perth], Curtin University [Perth], Planning and Transport Research Centre (PATREC)-Planning and Transport Research Centre (PATREC), Laboratoire d'océanographie de Villefranche (LOV), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Royal Netherlands Institute for Sea Research (NIOZ), Stazione Zoologica Anton Dohrn (SZN), Departement de Biologie, Chimie et Géographie, Université du Québec à Rimouski (UQAR), School of the Earth, Ocean and Environment [Columbia] (SEOE), University of South Carolina [Columbia], Department of Biological Sciences [Columbia], Institut des Sciences de la MER de Rimouski (ISMER), TROPO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Centre de Formation et de Recherche sur les Environnements Méditérranéens (CEFREM), Université de Perpignan Via Domitia (UPVD)-Centre National de la Recherche Scientifique (CNRS), State key Laboratory of Environmental Geochemistry [Guiyang] (SKLEG), Institute of Geochemistry [Guiyang], Chinese Academy of Sciences [Beijing] (CAS)-Chinese Academy of Sciences [Beijing] (CAS), Centre for Earth Observation Science [Winnipeg], University of Manitoba [Winnipeg], Department of Earth and Environment [Boston], Boston University [Boston] (BU), Institute of Surface-Earth System Science of Tianjin University, Tianjin University (TJU), Institut méditerranéen d'océanologie (MIO), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Toulon (UTLN), Laboratoire d'Océanographie Microbienne (LOMIC), Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire océanologique de Banyuls (OOB), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Centre Eau Terre Environnement [Québec] (INRS - ETE), Institut National de la Recherche Scientifique [Québec] (INRS), Department of Environmental Biotechnology [UFZ Leipzig], Helmholtz Centre for Environmental Research (UFZ), GSFC Ocean Ecology Laborator, NASA Goddard Space Flight Center (GSFC), Département de géomatique appliquée [Sherbrooke] (UdeS), Université de Sherbrooke (UdeS), Center for Environmental Diagnostics and Bioremediation, University of west Florida, Chubu Institute for Advanced Studies (CIAS), Chubu University, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Department of Maritime Systems [Rostock], Universität Rostock, Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS), Station de Biologie Marine de Concarneau, Direction générale déléguée à la Recherche, à l’Expertise, à la Valorisation et à l’Enseignement-Formation (DGD.REVE), Muséum national d'Histoire naturelle (MNHN)-Muséum national d'Histoire naturelle (MNHN), Variabilité de l'Océan et de la Glace de mer (VOG), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Center for Marine and Environmental Studies (CMES), University of the Virgin Islands (UVI), Mercator Océan, Société Civile CNRS Ifremer IRD Météo-France SHOM, Department of Marine Sciences [Athens], University of Georgia [USA], International Atomic Energy Agency - Environment Laboratories Monaco (IAEA-EL), Centre de recherche sur la dynamique du système Terre (GEOTOP), Université de Montréal (UdeM)-McGill University = Université McGill [Montréal, Canada]-École Polytechnique de Montréal (EPM)-Concordia University [Montreal]-Université du Québec à Rimouski (UQAR)-Université du Québec à Montréal = University of Québec in Montréal (UQAM)-Université du Québec en Abitibi-Témiscamingue (UQAT), Department of Earth and Planetary Sciences [Montréal] (EPS), McGill University = Université McGill [Montréal, Canada], Institute of Low Temperature Science [Sapporo], Hokkaido University [Sapporo, Japan], Alfred Wegener Institute for Polar and Marine Research (AWI), Helmholtz Institute for Functional Marine Biodiversity at the University of Oldenburg (HIFMB), Carl Von Ossietzky Universität Oldenburg, Marine Physical Laboratory (MPL), Scripps Institution of Oceanography (SIO), University of California [San Diego] (UC San Diego), University of California-University of California-University of California [San Diego] (UC San Diego), University of California-University of California, Observatoire des sciences de l'univers Ecce Terra (ECCE TERRA), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), UMR 5805 Environnements et Paléoenvironnements Océaniques et Continentaux (EPOC), Observatoire aquitain des sciences de l'univers (OASU), Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), State Key Laboratory of Marine Environmental Science (MEL), Xiamen University, School of Marine Science and Technology [Tianjin], Department of Physics [Columbus], Ohio State University [Columbus] (OSU), Laboratoire de Recherche en Géosciences et Energies (LARGE), Université des Antilles (UA), Asian School of the Environment (ASE), Nanyang Technological University [Singapour], CSIRO Marine and Atmospheric Research (CSIRO-MAR), Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), CSIRO Wealth from Oceans National Research Flagship, University of Tasmania [Hobart, Australia] (UTAS), Department of Earth Sciences [Amsterdam], VU University Amsterdam, NOAA Center for Satellite Applications and Research (STAR), NOAA National Environmental Satellite, Data, and Information Service (NESDIS), National Oceanic and Atmospheric Administration (NOAA)-National Oceanic and Atmospheric Administration (NOAA), Earth Science System Interdisciplinary Center [College Park] (ESSIC), College of Computer, Mathematical, and Natural Sciences [College Park], University of Maryland [College Park], University of Maryland System-University of Maryland System-University of Maryland [College Park], University of Maryland System-University of Maryland System, Centre National de la Recherche Scientifique (CNRS)-Université Laval [Québec] (ULaval), Université Laval [Québec] (ULaval)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Université de Perpignan Via Domitia (UPVD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Observatoire océanologique de Banyuls (OOB), Fédération de recherche de Roscoff (FR2424), Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Center for Environmental Diagnostics and Bioremediation [Pensacola] (UWF | CEDB), University of West Florida [Pensacola] (UWF), Océan et Interfaces (OCEANIS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Centro Austral de Investigaciones Científicas [Ushuaia] (CADIC), Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET), Instituto de Ciencias Polares, Ambiente y Recursos Naturales (ICPA), Universidad Nacional de Tierra del Fuego, Antártida e islas del Atlántico Sur (UNTDF), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), École Polytechnique de Montréal (EPM)-McGill University = Université McGill [Montréal, Canada]-Université de Montréal (UdeM)-Université du Québec en Abitibi-Témiscamingue (UQAT)-Université du Québec à Rimouski (UQAR)-Concordia University [Montreal]-Université du Québec à Montréal = University of Québec in Montréal (UQAM), Carl Von Ossietzky Universität Oldenburg = Carl von Ossietzky University of Oldenburg (OFFIS), Scripps Institution of Oceanography (SIO - UC San Diego), University of California (UC)-University of California (UC)-University of California [San Diego] (UC San Diego), University of California (UC)-University of California (UC), Observatoire des sciences de l'univers Ecce Terra [Paris] (OSU ECCE TERRA), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Environnements et Paléoenvironnements OCéaniques (EPOC), Université Sciences et Technologies - Bordeaux 1 (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1 (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-École Pratique des Hautes Études (EPHE), Laboratoire de Recherche en Géosciences et Energies [UR2_1] (LARGE), Vrije Universiteit Amsterdam [Amsterdam] (VU), ANR-08-BLAN-0308,Malina,How changes in ice cover, permafrost and UV radiation impact on biodiversity and biogeochemical fluxes in the Arctic Ocean(2008), European Project: 0713915(2007), European Project: 1504137(2015), European Project: 0229302(2002), European Project: 0425582(2004), European Project: 0713991(2007), Asian School of the Environment, Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU), Observatoire des sciences de l'univers Ecce Terra [Paris] (ECCE TERRA), and Vrije universiteit = Free university of Amsterdam [Amsterdam] (VU)
- Subjects
0106 biological sciences ,Biogeochemical cycle ,Temperature Rise ,010504 meteorology & atmospheric sciences ,BEAUFORT SEA ,Ice field ,SEA ICE ,Geology [Science] ,Permafrost ,01 natural sciences ,purl.org/becyt/ford/1 [https] ,purl.org/becyt/ford/1.5 [https] ,Phytoplankton ,14. Life underwater ,Transect ,lcsh:Environmental sciences ,[SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography ,0105 earth and related environmental sciences ,lcsh:GE1-350 ,[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] ,geography ,geography.geographical_feature_category ,ARCTIC OCEAN ,010604 marine biology & hydrobiology ,lcsh:QE1-996.5 ,Permafrost Thawing ,Pelagic zone ,Estuary ,lcsh:Geology ,Oceanography ,Arctic ,13. Climate action ,[SDE]Environmental Sciences ,General Earth and Planetary Sciences ,Environmental science ,MALINA - Abstract
The MALINA oceanographic campaign was conducted during summer 2009 to investigate the carbon stocks and the processes controlling the carbon fluxes in the Mackenzie River estuary and the Beaufort Sea. During the campaign, an extensive suite of physical, chemical and biological variables were measured across seven shelf basin transects (south north) to capture the meridional gradient between the estuary and the open ocean. Key variables such as temperature, absolute salinity, radiance, irradiance, nutrient concentrations, chlorophyll a concentration, bacteria, phytoplankton and zooplankton abundance and taxonomy, and carbon stocks and fluxes were routinely measured onboard the Canadian research icebreaker CCGS Amundsen and from a barge in shallow coastal areas or for sampling within broken ice fields. Here, we present the results of a joint effort to compile and standardize the collected data sets that will facilitate their reuse in further studies of the changing Arctic Ocean. Fil: Massicotte, Philippe. Laval University; Canadá Fil: Amon, Rainer. Texas A&M University; Estados Unidos Fil: Antoine, David. Université Pierre et Marie Curie; Francia Fil: Archambault, Philippe. Laval University; Canadá Fil: Balzano, Sergio. Université Pierre et Marie Curie; Francia Fil: Bélanger, Simon. Université du Québec a Montreal; Canadá Fil: Benner, Ronald. University Of South Carolina; Estados Unidos Fil: Boeuf, Dominique. Université Pierre et Marie Curie; Francia Fil: Bricaud, Annick. Université Pierre et Marie Curie; Francia Fil: Bruyant, Flavienne. Laval University; Canadá Fil: Chaillou, Gwenaelle. Institut Des Sciences de la Mer de Rimouski; Canadá Fil: Chami, Malik. Université Pierre et Marie Curie; Francia Fil: Charrière, Bruno. Universite de Perpignan; Francia Fil: Chen, Jing. Tianjin University; China Fil: Claustre, Herve. Université Pierre et Marie Curie; Francia Fil: Coupel, Pierre. Laval University; Canadá Fil: Delsaut, Nicole. Universite de Perpignan; Francia Fil: Doxaran, David. Université Pierre et Marie Curie; Francia Fil: Ehn, Jens. University of Manitoba; Canadá Fil: Fichot, Cedric. Boston University; Estados Unidos Fil: Forget, Marie Helene. Laval University; Canadá Fil: Fu, Pingqing. Tianjin University; China Fil: Gagnon, Jonathan. Laval University; Canadá Fil: Garcia, Nicole. Aix Marseille Université; Francia Fil: Gasser, Beat. No especifíca; Fil: Ghiglione, Jean Francois. Université Pierre et Marie Curie; Francia Fil: Gorsky, Gaby. Université Pierre et Marie Curie; Francia Fil: Gosselin, Michel. Institut Des Sciences de la Mer de Rimouski; Canadá Fil: Gourvil, Priscillia. Université Pierre et Marie Curie; Francia Fil: Gratton, Yves. Centre Eau Terre Environnement; Canadá Fil: Guillot, Pascal. Institut Des Sciences de la Mer de Rimouski; Canadá Fil: Heipieper, Hermann. Helmholtz Zentrum Für Umweltforschung; Alemania Fil: Heussner, Serge. Universite de Perpignan; Francia Fil: Hooker, Stanford. Nasa Goddard Space Flight Center; Estados Unidos Fil: Huot, Yannick. University of Sherbrooke; Canadá Fil: Jeanthon, Christian. Université Pierre et Marie Curie; Francia Fil: Jeffrey, Wade. University Of West Florida; Estados Unidos Fil: Joux, Fabien. Université Pierre et Marie Curie; Francia Fil: Kawamura, Kimitaka. Chubu University; Japón Fil: Lansard, Bruno. No especifíca; Fil: Leymarie, Edouard. Université Pierre et Marie Curie; Francia Fil: Link, Heike. Universität Rostock; Alemania Fil: Lovejoy, Connie. Laval University; Canadá Fil: Marec, Claudie. Laval University; Canadá. Universite de Bretagne Occidentale; Francia Fil: Marie, Dominique. Université Pierre et Marie Curie; Francia Fil: Martin, Johannie. Laval University; Canadá Fil: Martín de Nascimento, Jacobo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina Fil: Massé, Guillaume. Laval University; Canadá Fil: Matsuoka, Atsushi. Laval University; Canadá Fil: McKague, Vanessa. University of Virginia; Estados Unidos Fil: Mignot, Alexandre. Université Pierre et Marie Curie; Francia Fil: Miller, William. University of Georgia; Estados Unidos Fil: Miquel, Juan Carlos. No especifíca; Fil: Mucci, Alfonso. McGill University; Canadá Fil: Ono, Kaori. No especifíca; Fil: Ortega-Retuerta, Eva. Université Pierre et Marie Curie; Francia Fil: Panagiotopoulos, Christos. Aix Marseille Université Marsella.; Francia Fil: Papakyriakou, Tim. University of Manitoba; Canadá Fil: Picheral, Marc. Université Pierre et Marie Curie; Francia Fil: Prieur, Louis. Université Pierre et Marie Curie; Francia Fil: Raimbault, Patrick. No especifíca; Fil: Ras, Josephine. Université Pierre et Marie Curie; Francia Fil: Reynolds, Rick. Marine Physical Laboratory; Estados Unidos Fil: Rochon, Andre. Institut Des Sciences de la Mer de Rimouski; Canadá Fil: Rontani, Jean Francois. Aix Marseille Université; Francia Fil: Schmechtig, Catherine. Observatoire Des Sciences de L'univers; Francia Fil: Schmidt, Sabine. No especifíca; Fil: Sempéré, Richard. Aix Marseille Université,Marsella.; Francia Fil: Shen, Yuan. No especifíca; Fil: Song, Guisheng. Tianjin University; China Fil: Stramski, Dariusz. Marine Physical Laboratory; Francia Fil: Tachibana, Eri. Hokkaido University; Japón Fil: Thirouard, Alexandre. Université Pierre et Marie Curie; Francia Fil: Tolosa, Imma. No especifíca; Fil: Tremblay, Jean Eric. Laval University; Canadá Fil: Vaïtilingom, Mickael. Université Des Antilles; Francia Fil: Vaulot, Daniel. Université Pierre et Marie Curie; Francia Fil: Vaultier, Frederic. Aix Marseille Université; Francia Fil: Volkman, John. Csiro Marine And Atmospheric Research; Australia Fil: Xie, Huixiang. Institut Des Sciences de la Mer de Rimouski; Canadá Fil: Zheng, Guangming. University of Maryland; Estados Unidos Fil: Babin, Marcel. Laval University; Canadá
- Published
- 2021
- Full Text
- View/download PDF
23. Pixel-Wise Linear/Nonlinear Nonnegative Matrix Factorization for Unmixing of Hyperspectral Data
- Author
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Jie Chen, Paul Honeine, Fei Zhu, Center for Applied Mathematics, Tianjin University, Equipe Apprentissage (DocApp - LITIS), Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Université Le Havre Normandie (ULH), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA), School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China, and ANR-18-CE23-0014,APi,Apprivoiser la Pré-image(2018)
- Subjects
Computer science ,0211 other engineering and technologies ,02 engineering and technology ,[INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE] ,Hyperspectral data analysis ,unsupervised learning ,[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] ,Non-negative matrix factorization ,Matrix decomposition ,kernel methods ,Statistics::Machine Learning ,[STAT.ML]Statistics [stat]/Machine Learning [stat.ML] ,[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing ,[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG] ,[INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY] ,[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST] ,0202 electrical engineering, electronic engineering, information engineering ,021101 geological & geomatics engineering ,Pixel ,nonnegative matrix factorization ,[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] ,Hyperspectral imaging ,020206 networking & telecommunications ,Nonlinear system ,Kernel method ,Kernel (image processing) ,Computer Science::Computer Vision and Pattern Recognition ,Unsupervised learning ,nonlinear unmixing ,[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ,Algorithm - Abstract
International audience; Nonlinear spectral unmixing is a challenging and important task in hyperspectral image analysis. The kernel-based bi-objective nonnegative matrix factorization (Bi-NMF) has shown its usefulness in nonlinear unmixing; However, it suffers several issues that prohibit its practical application. In this work, we propose an unsupervised nonlinear unmixing method that overcomes these weaknesses. Specifically, the new method introduces into each pixel a parameter that adjusts the nonlinearity therein. These parameters are jointly optimized with endmembers and abundances, using a carefully designed objective function by multiplicative update rules. Experiments on synthetic and real datasets confirm the effectiveness of the proposed method.
- Published
- 2020
- Full Text
- View/download PDF
24. Learning Combination of Graph Filters for Graph Signal Modeling
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Fei Hua, Paulo Gonçalves, Haiyan Wang, Pierre Borgnat, Jie Chen, Cedric Richard, School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China, Joseph Louis LAGRANGE (LAGRANGE), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique de l'ENS Lyon (Phys-ENS), École normale supérieure - Lyon (ENS Lyon)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Dynamic Networks : Temporal and Structural Capture Approach (DANTE), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire de l'Informatique du Parallélisme (LIP), Centre National de la Recherche Scientifique (CNRS)-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École normale supérieure - Lyon (ENS Lyon)-Centre National de la Recherche Scientifique (CNRS)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École normale supérieure - Lyon (ENS Lyon)-Institut Rhône-Alpin des systèmes complexes (IXXI), École normale supérieure - Lyon (ENS Lyon)-Université Lumière - Lyon 2 (UL2)-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Université Lumière - Lyon 2 (UL2)-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), This work was supported through the UCA JEDI Investments in the Futureproject managed by the ANR with the reference number ANR-15-IDEX-0001,the ACADEMICS grant given by the IDEXLYON project of the Universit ́ede Lyon, and by NSFC grants 61571365, 61671386, 61771396 and NationalKey R&D Program of China (2016YFC1400200)., ANR-15-IDEX-0001,UCA JEDI,Idex UCA JEDI(2015), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut Rhône-Alpin des systèmes complexes (IXXI), École normale supérieure de Lyon (ENS de Lyon)-Université Lumière - Lyon 2 (UL2)-Université Jean Moulin - Lyon 3 (UJML), This work was supported through the UCA JEDI Investments in the Futureproject managed by the ANR with the reference number ANR-15-IDEX-0001,the ACADEMICS grant given by the IDEXLYON project of the Université de Lyon, and by NSFC grants 61571365, 61671386, 61771396 and NationalKey R&D Program of China (2016YFC1400200)., ANR-19-CE48-0002,DARLING,Adaptation et apprentissage distribués pour les signaux sur graphe(2019), Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL)
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shift operator ,Computer science ,Applied Mathematics ,Model selection ,para- metric modeling ,020206 networking & telecommunications ,02 engineering and technology ,Directed graph ,Random walk ,Regularization (mathematics) ,Graph ,random walk ,Operator (computer programming) ,convex combination ,[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing ,Signal Processing ,Parametric model ,Convex optimization ,Index Terms-graph filter ,0202 electrical engineering, electronic engineering, information engineering ,Graph (abstract data type) ,Convex combination ,Electrical and Electronic Engineering ,Algorithm ,Interpretability - Abstract
International audience; We study the problem of parametric modeling of network-structured signals with graph filters. To benefit from the properties of several graph shift operators simultaneously, and to enhance interpretability, we investigate combinations of parallel graph filters with different shift operators. Due to their extra degrees of freedom, these models might suffer from over-fitting. We address this problem through a weighted ℓ 2 -norm regularization formulation to perform model selection by encouraging group sparsity. What makes this formulation interesting is that it is actually a smooth convex optimization problem. Experiments on real-world data structured by undirected and directed graphs show the effectiveness of this method.
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- 2019
25. Population structure, connectivity, and demographic history of an apex marine predator, the bull shark Carcharhinus leucas
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Pirog, Agathe, Ravigné, Virginie, Fontaine, Michael C., Rieux, Adrien, Gilabert, Aude, Cliff, Geremy, Clua, Eric, Daly, Ryan, Heithaus, Michael, Kiszka, Jérémy, Matich, Philip, Nevill, John, Smoothey, Amy, Temple, Andrew, Berggren, Per, Jaquemet, Sébastien, Magalon, Hélène, Fontaine lab, Ecologie marine tropicale dans les Océans Pacifique et Indien (ENTROPIE [Réunion]), Centre National de la Recherche Scientifique (CNRS)-Université de La Réunion (UR)-Institut de Recherche pour le Développement (IRD), Peuplements végétaux et bioagresseurs en milieu tropical (UMR PVBMT), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Université de La Réunion (UR), Département Systèmes Biologiques (Cirad-BIOS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Diversity, ecology, evolution & Adaptation of arthropod vectors (MIVEGEC-DEEVA), Evolution des Systèmes Vectoriels (ESV), Maladies infectieuses et vecteurs : écologie, génétique, évolution et contrôle (MIVEGEC), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Maladies infectieuses et vecteurs : écologie, génétique, évolution et contrôle (MIVEGEC), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Groningen Institute for Evolutionary Life Sciences [Groningen] (GELIFES), University of Groningen [Groningen], Biomedical Resource Unit, University of KwaZulu-Natal (UKZN), Laboratoire d'Excellence CORAIL (LabEX CORAIL), Institut de Recherche pour le Développement (IRD)-Université des Antilles et de la Guyane (UAG)-École des hautes études en sciences sociales (EHESS)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de La Réunion (UR)-Université de la Polynésie Française (UPF)-Université de la Nouvelle-Calédonie (UNC)-Institut d'écologie et environnement-Université des Antilles (UA), Oceanographic research institute (ORI), South African Institute for Aquatic Biodiversity, Department of Biological Sciences [Miami], Florida International University [Miami] (FIU), Marine Sciences Program, Newcastle University [Newcastle], School of Marine Science and Technology, Western Indian Ocean Marine Science Association-Funded BYCAM Project : MASMA/CP/2014/01, Institut de Recherche pour le Développement (IRD)-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS), University of KwaZulu-Natal [Durban, Afrique du Sud] (UKZN), and Institut de Recherche pour le Développement (IRD)-Université des Antilles et de la Guyane (UAG)-École des hautes études en sciences sociales (EHESS)-École Pratique des Hautes Études (EPHE)
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mitochondrial DNA ,Variation génétique ,lcsh:QH540-549.5 ,Dynamique des populations ,Marqueur génétique ,Structure de la population ,mito‐nuclear discordance ,[SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE] ,L60 - Taxonomie et géographie animales ,Microsatellite ,population genetics ,ABC-RF ,mito-nuclear discordance ,ABC‐RF ,Carcharhinus leucas ,[SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics ,M40 - Écologie aquatique ,microsatellite DNA ,Écologie animale ,lcsh:Ecology ,L20 - Écologie animale ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology - Abstract
International audience; Knowledge of population structure, connectivity, and effective population size remains limited for many marine apex predators, including the bull shark Carcharhinus leucas. This large-bodied coastal shark is distributed worldwide in warm temperate and tropical waters, and uses estuaries and rivers as nurseries. As an apex predator, the bull shark likely plays a vital ecological role within marine food webs, but is at risk due to inshore habitat degradation and various fishing pressures. We investigated the bull shark's global population structure and demographic history by analyzing the genetic diversity of 370 individuals from 11 different locations using 25 microsatellite loci and three mitochondrial genes (CR, nd4, and cytb). Both types of markers revealed clustering between sharks from the Western Atlantic and those from the Western Pacific and the Western Indian Ocean, with no contemporary gene flow. Microsatellite data suggested low differentiation between the Western Indian Ocean and the Western Pacific, but substantial differentiation was found using mitochondrial DNA. Integrating information from both types of markers and using Bayesian computation with a random forest procedure (ABC-RF), this discordance was found to be due to a complete lack of contemporary gene flow. High genetic connectivity was found both within the Western Indian Ocean and within the Western Pacific. In conclusion, these results suggest important structuring of bull shark populations globally with important gene flow occurring along coastlines, highlighting the need for management and conservation plans on regional scales rather than oceanic basin scale.
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- 2019
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26. Transient Performance Analysis of Zero-Attracting LMS
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Jie Chen, Yingying Song, Cedric Richard, David Brie, Centre of Intelligent Acoustics and Immersive Com- munications at School of Marine Science and Technology, Northwestern Polytechinical University, Department of Electrical and Computer Engineering [Davis], University of California [Davis] (UC Davis), University of California-University of California-University of California [Davis] (UC Davis), University of California-University of California, Joseph Louis LAGRANGE (LAGRANGE), Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Automatique de Nancy (CRAN), and Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)
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FOS: Computer and information sciences ,0209 industrial biotechnology ,Computer science ,Computer Science - Information Theory ,02 engineering and technology ,Sparse system identification ,Regularization (mathematics) ,020901 industrial engineering & automation ,[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing ,transient behavior ,0202 electrical engineering, electronic engineering, information engineering ,performance analysis ,Electrical and Electronic Engineering ,Subgradient method ,Computer Science - Performance ,Information Theory (cs.IT) ,Applied Mathematics ,System identification ,zero-attracting LMS ,020206 networking & telecommunications ,Performance (cs.PF) ,Nonlinear system ,Norm (mathematics) ,Signal Processing ,Random variable ,Algorithm - Abstract
Zero-attracting least-mean-square (ZA-LMS) algorithm has been widely used for online sparse system identification. It combines the LMS framework and $\ell_1$-norm regularization to promote sparsity, and relies on subgradient iterations. Despite the significant interest in ZA-LMS, few works analyzed its transient behavior. The main difficulty lies in the nonlinearity of the update rule. In this work, a detailed analysis in the mean and mean-square sense is carried out in order to examine the behavior of the algorithm. Simulation results illustrate the accuracy of the model and highlight its performance through comparisons with an existing model., 5 pages, 4 figures
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- 2016
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27. Global in situ observations of essential climate and ocean variables at the air–sea interface
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P. M. Poulain, Lixin Wu, Paul Poli, Dongxiao Zhang, Anne O'Carroll, Christopher J. Merchant, Craig Donlon, Sidney Thurston, Kathleen Dohan, Val R. Swail, Lisan Yu, Etienne Charpentier, Jonathan D Turton, Gilles Reverdin, Boris A Kelly-Gerreyn, Theresa Paluszkiewicz, Verena Hormann, Robert E. Jensen, Xiaopei Lin, Peter J. Minnett, Gary B. Brassington, Alexander Ignatov, Inga Monika Koszalka, Bin Wang, Rick Lumpkin, Eric Lindstrom, Gary K. Corlett, Bruce Ingleby, Yi Chao, Lancelot J. Braasch, Champika Gallage, Luca Centurioni, Xiujun Sun, Zhaohui Chen, Nikolai Maximenko, Scripps Institution of Oceanography (SIO - UC San Diego), University of California [San Diego] (UC San Diego), University of California (UC)-University of California (UC), Met Office Climate Research Division, United Kingdom Met Office [Exeter], Department of Oceanography, Florida State University [Tallahassee] (FSU), Australian Bureau of Meteorology [Melbourne] (BoM), Australian Government, UCLA Joint Institute for Regional Earth System Science and Engineering (JIFRESSE), University of California [Los Angeles] (UCLA), University of California (UC)-University of California (UC)-NASA, World Meteorological Organization (WMO), Chimie et biochimie des complexes moléculaires (CBCM), Ecole Nationale Supérieure de Chimie de Paris - Chimie ParisTech-PSL (ENSCP), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), Earth and Space Research Institute [Seattle] (ESR), European Space Research and Technology Centre (ESTEC), Agence Spatiale Européenne = European Space Agency (ESA), Leibniz-Institut für Meereswissenschaften (IFM-GEOMAR), NOAA Center for Satellite Applications and Research (STAR), NOAA National Environmental Satellite, Data, and Information Service (NESDIS), National Oceanic and Atmospheric Administration (NOAA)-National Oceanic and Atmospheric Administration (NOAA), European Centre for Medium-Range Weather Forecasts (ECMWF), USACE Engineer Research and Development Center (ERDC), Department of Meteorology [Stockholm] (MISU), Stockholm University, Ocean University of China (OUC), NASA Headquarters, International Pacific Research Center (IPRC), School of Ocean and Earth Science and Technology (SOEST), University of Hawai‘i [Mānoa] (UHM)-University of Hawai‘i [Mānoa] (UHM), Department of Meteorology [Reading], University of Reading (UOR), Rosenstiel School of Marine and Atmospheric Science (RSMAS), University of Miami [Coral Gables], Office of Naval Research, Arlington, VA, Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Istituto Nazionale di Geofisica e di Oceanografia Sperimentale (OGS), Variabilité de l'Océan et de la Glace de mer (VOG), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Environment and Climate Change Canada, State Key Laboratory of Supramolecular Structure and Materials, Jilin University, National Oceanic and Atmospheric Administration (NOAA), School of Marine Science and Technology [Tianjin], Tianjin University (TJU), NOAA Pacific Marine Environmental Laboratory [Seattle] (PMEL), Scripps Institution of Oceanography (SIO), University of California-University of California, University of California-University of California-NASA, European Space Agency (ESA), Groupe d'étude de l'atmosphère météorologique (CNRM-GAME), Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS), Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut de Recherche pour le Développement (IRD)-Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)
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0106 biological sciences ,lcsh:QH1-199.5 ,010504 meteorology & atmospheric sciences ,Meteorology ,Weather forecasting ,Ocean Engineering ,Context (language use) ,climate variability and change ,[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] ,lcsh:General. Including nature conservation, geographical distribution ,Aquatic Science ,Oceanography ,computer.software_genre ,01 natural sciences ,global in situ observations ,14. Life underwater ,weather forecasting ,lcsh:Science ,Sea level ,essential climate and ocean variables ,0105 earth and related environmental sciences ,Water Science and Technology ,Global and Planetary Change ,010604 marine biology & hydrobiology ,SVP drifters ,Earth system science ,Drifter ,air-sea interface ,13. Climate action ,Ocean color ,Sustainability ,Environmental science ,lcsh:Q ,Satellite ,computer - Abstract
International audience; The air–sea interface is a key gateway in the Earth system. It is where the atmosphere sets the ocean in motion, climate/weather-relevant air–sea processes occur, and pollutants (i.e., plastic, anthropogenic carbon dioxide, radioactive/chemical waste) enter the sea. Hence, accurate estimates and forecasts of physical and biogeochemical processes at this interface are critical for sustainable blue economy planning, growth, and disaster mitigation. Such estimates and forecasts rely on accurate and integrated in situ and satellite surface observations. High-impact uses of ocean surface observations of essential ocean/climate variables (EOVs/ECVs) include (1) assimilation into/validation of weather, ocean, and climate forecast models to improve their skill, impact, and value; (2) ocean physics studies (i.e., heat, momentum, freshwater, and biogeochemical air–sea fluxes) to further our understanding and parameterization of air–sea processes; and (3) calibration and validation of satellite ocean products (i.e., currents, temperature, salinity, sea level, ocean color, wind, and waves). We review strengths and limitations, impacts, and sustainability of in situ ocean surface observations of several ECVs and EOVs. We draw a 10-year vision of the global ocean surface observing network for improved synergy and integration with other observing systems (e.g., satellites), for modeling/forecast efforts, and for a better ocean observing governance. The context is both the applications listed above and the guidelines of frameworks such as the Global Ocean Observing System (GOOS) and Global Climate Observing System (GCOS) (both co-sponsored by the Intergovernmental Oceanographic Commission of UNESCO, IOC–UNESCO; the World Meteorological Organization, WMO; the United Nations Environment Programme, UNEP; and the International Science Council, ISC). Networks of multiparametric platforms, such as the global drifter array, offer opportunities for new and improved in situ observations. Advances in sensor technology (e.g., low-cost wave sensors), high-throughput communications, evolving cyberinfrastructures, and data information systems with potential to improve the scope, efficiency, integration, and sustainability of the ocean surface observing system are explored.
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- 2019
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28. 2015年度日本海洋学会春季大会ナイトセッション報告 「南極海におけるSea Ice Biota 研究の進展を目指して」
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Atsushi, Tanimura, Noriaki, Kimura, Naho, Miyazaki, Motoha , Ojima, Masato, Moteki, Tsuneo, Odate, 情報・システム研究機構国立極地研究所, 東京海洋大学大学院, 総合研究大学院大学複合科学研究科極域科学専攻, National Institute of Polar Research, Research Organization of Information and Systems, Midori-cho 10-3, Tachikawa, Tokyo 190-8518., Graduate School of Marine Science and Technology, Tokyo University of Marine Science and Technology, 4-5-7 Konan, Minato-ku, Tokyo 108-8477., and Department of Polar Science, School of Multidisciplinary Sciences, SOKENDAI (The Graduate University for Advanced Studies), Midori-cho 10-3, Tachikawa, Tokyo 190-8518.
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59(26) - Abstract
2015年度日本海洋学会春季大会開催期間中の2015年3月24日,東京海洋大学において,ナイトセッション「南極海におけるSea Ice Biota 研究の進展を目指して」が開催された.本ナイトセッションでは,海氷の生成と融解のプロセスなどの海洋物理学的情報と定着氷域や浮氷域における海氷中の生物に関する情報を持ち寄り,南極海の生態系における海氷中生物群集の潜在的な生理・生態学的意義から,定着氷域と浮氷域の生物群集の関係,海氷履歴の推定や気候変動の研究の指標生物としての海氷中生物の利用の可能性まで議論を展開し,それに基づき今後の研究の方向性や発展性について意見交換した.なお,参加者は28名であった., The workshop "Progress in Research into Sea Ice Biota of the Antarctic Ocean" was held on 24 March 2015 at Tokyo University of Marine Science and Technology (TUMSAT) as a night session under the joint sponsorship of the Oceanographic Society of Japan. The aim of the workshop was to share information regarding the physical processes of ice formation and melting, and the organisms associated with sea ice, and to discuss the ecological significance of sea ice biota. Five presentations were delivered on various topics related to Antarctic sea ice. The potential importance of sea ice biota in the Antarctic marine ecosystem was emphasized throughout the workshop. Also discussed was a future feasibility study of sea ice biota as biological indicators of the physical processes of sea ice formation. A total of 28 scientists and students attended the session.
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- 2015
29. N2O production and consumption from stable isotopic and concentration data in the Peruvian coastal upwelling system
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Bourbonnais, Annie, Letscher, Robert T., Bange, Hermann W., Echevin, Vincent, Larkum, Jennifer, Mohn, Joachim, Yoshida, Naohiro, Altabet, Mark A., School for Marine Science and Technology, Helmholtz Centre for Ocean Research [Kiel] (GEOMAR), Processus de couplage à Petite Echelle, Ecosystèmes et Prédateurs Supérieurs (PEPS), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636))
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[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] ,[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] ,ComputingMilieux_MISCELLANEOUS - Abstract
The ocean is an important source of nitrous oxide (N2O) to the atmosphere, yet the factors controlling N2O production and consumption in oceanic environments are still not understood nor constrained. We measured N2O concentrations and isotopomer ratios, as well as O-2, nutrient and biogenic N-2 concentrations, and the isotopic compositions of nitrate and nitrite at several coastal stations during two cruises off the Peru coast (similar to 5-16 degrees S, 75-81 degrees W) in December 2012 and January 2013. N2O concentrations varied from below equilibrium values in the oxygen deficient zone (ODZ) to up to 190 nmol L-1 in surface waters. We used a 3-D-reaction-advection-diffusion model to evaluate the rates and modes of N2O production in oxic waters and rates of N2O consumption versus production by denitrification in the ODZ. Intramolecular site preference in N2O isotopomer was relatively low in surface waters (generally -3 to 14 parts per thousand) and together with modeling results, confirmed the dominance of nitrifier-denitrification or incomplete denitrifier-denitrification, corresponding to an efflux of up to 0.6 Tg N yr(-1) off the Peru coast. Other evidence, e.g., the absence of a relationship between Delta N2O and apparent O-2 utilization and significant relationships between nitrate, a substrate during denitrification, and N2O isotopes, suggest that N2O production by incomplete denitrification or nitrifier-denitrification decoupled from aerobic organic matter remineralization are likely pathways for extreme N2O accumulation in newly upwelled surface waters. We observed imbalances between N2O production and consumption in the ODZ, with the modeled proportion of N2O consumption relative to production generally increasing with biogenic N-2. However, N2O production appeared to occur even where there was high N loss at the shallowest stations.
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- 2017
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30. 船舶用スカイラジオメータの改良および南極観測船「しらせ」での初期観測結果
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Noriaki , Tanaka, Hiroshi, Kobayashi, Toshiyuki , Murayama, Masataka, Shiobara, 山梨大学大学院医学工学総合教育部, 山梨大学大学院医学工学総合研究部, 東京海洋大学海洋科学技術研究科, 情報・システム研究機構国立極地研究所, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, 4-3-11 Takeda, Kofu, 400-8511., Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, 4-4-37 Takeda, Kofu, 400-8510., Graduate School of Marine Science and Technology, Tokyo University of Marine Science and Technology, 2-1-6 Etchujima, Koto-ku, Tokyo 135-8533., and National Institute of Polar Research, Research Organization of Information and Systems, Midori-cho 10?3, Tachikawa, Tokyo 190-8518.
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551.5 - Abstract
動揺する船上においても太陽直達光を観測できるように,船舶用スカイラジオメータの太陽追尾性能を改良した.改良点は,太陽追尾精度の向上,測器視野角の拡大,太陽追尾速度の迅速化および測定手法の改良である.改良後の装置を用いて,第51次および第52次日本南極地域観測隊の本観測時に,南極観測船「しらせ」船上において太陽直達光および天空輝度分布を測定し,動揺した船上での直達光観測に成功した.直達光から算出された波長500nm における大気エアロゾルの光学的厚さは0.01-0.34であり,東南アジアおよび春季の西太平洋上で高い値を示した.オングストローム指数は-0.06~2.00の範囲であり,東南アジアおよびシドニー付近で最大を示した.今後,船舶用スカイラジオメータが,海洋上の大気エアロゾルに関する知見を深めると期待される., The sun-tracking performance of a shipborne sky radiometer was improved to attain accurate aerosol optical thickness (AOT) from direct solar measurements on a pitching and rolling vessel. Improvements were made in the accuracy of sun-pointing measurements, field-of-view expansion, sun-tracking speed, and measurement method. Radiometric measurements of direct solar and sky brightness distribution were performed using the shipborne sky radiometer onboard the Antarctic research vessel (R/V) Shirase during JARE-51 (2009-2010) and JARE-52 (2010-2011). The temporal variation of signal intensity measured by the radiometer under cloudless conditions was smooth, demonstrating that the radiometer could measure direct sunlight onboard the R/V. AOT at 500 nm ranged from 0.01 to 0.34, and values over Southeast Asia and over the western Pacific Ocean in spring were higher than those over other regions. The Angstrom exponent ranged from -0.06 to 2.00, and values over Southeast Asia and off the coast near Sydney were the highest. The improved shipborne sky radiometer will contribute to a good understanding of the nature of aerosols over the ocean.
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- 2014
31. Habitat availability and geographic isolation as potential drivers of population structure in an oceanic dolphin in the Southwest Indian Ocean
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Violaine Dulau-Drouot, Benoit Simon-Bouhet, Amélia Viricel, Philippe Mongin, Jeremy J. Kiszka, Per Berggren, Narriman Jiddawi, Omar A. Amir, Laura Ceyrac, LIttoral ENvironnement et Sociétés - UMR 7266 (LIENSs), Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS), Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC), Institut National de la Recherche Agronomique (INRA)-Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS), MARine Biodiversity Exploitation and Conservation (UMR MARBEC), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Globice Réunion, School of Marine Science and Technology, Newcastle University [Newcastle], Ministry of Livestock and Fisheries, Institute of Marine Sciences, Zanzibar, Brigade Nature Ocean Indien, Parc de la Providence, Department of Biological Sciences [Miami], Florida International University (FIU), LIttoral ENvironnement et Sociétés - UMRi 7266 (LIENSs), Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut de Recherche pour le Développement (IRD), Florida International University [Miami] (FIU), LIttoral ENvironnement et Sociétés (LIENSs), La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS), and Institut National de la Recherche Agronomique (INRA)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)
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0106 biological sciences ,Population ,Aquatic Science ,Biology ,010603 evolutionary biology ,01 natural sciences ,microsatellites ,Oceanic dolphin ,biology.animal ,spinner dolphin ,genetic structure ,14. Life underwater ,education ,Ecology, Evolution, Behavior and Systematics ,mtDNA control region ,geography ,Genetic diversity ,education.field_of_study ,geography.geographical_feature_category ,Ecology ,mtDNA ,010604 marine biology & hydrobiology ,[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE] ,biology.organism_classification ,East Africa ,Stenella longirostris ,Fishery ,Habitat ,Genetic structure ,Archipelago ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,human activities - Abstract
International audience; Delphinid populations show highly variable patterns of genetic diversity and population structure. Previous studies indicate that habitat discontinuities and geographic isolation are major drivers of population division in cetaceans. Spinner dolphins (Stenella longirostris) are distributed in all tropical oceans, but they are particularly common around islands and atolls. This species occurs in shallow waters at daytime to rest and socialise, and feeds on offshore mesopelagic prey overnight. Here we investigated the genetic population structure of spinner dolphins in the Southwest (SW) Indian Ocean along a west-east geographical gradient, from eastern Africa to the Mascarene archipelago. We combined analyses of 12 microsatellite loci, mtDNA control region sequences, and sighting data to assess genetic differentiation and characterise habitat preferences of these populations. Significant genetic structure among the three sampled sites (Zanzibar, Mayotte and La Réunion) was observed using both types of molecular markers. Overall, our results indicate that geographic isolation, and potentially other factors such as shallow water habitats to rest and socialise, may be important drivers of the genetic population structure of insular spinner dolphins in this region.
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- 2016
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32. Biogeochemical data of the 51st Japanese Antarctic Research Expedition in the austral summer of 2009-2010
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Daiki, Nomura, Daisuke, Simizu, Chinatsu, Oouchida, Saori, Yasui, Takahiro, Iida, Gen, Hashida, Mitsuo, Fukuchi, National Institute of Polar Research, 10-3 Midori-cho, Tachikawa, Tokyo 190-8518., Institute of Low Temperature Science, Hokkaido University, Kita-19, Nishi-8, Kita-ku, Sapporo, Hokkaido 060-0819., and Graduate School of Marine Science and Technology, Tokyo University of Marine Science and Technology, 4-5-7 Konan, Minato-ku, Tokyo 108-8477.
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- 2011
33. Fluorescent BODIPY-Based Zn(II) Complex as a Molecular Probe for Selective Detection of Neurofibrillary Tangles in the Brains of Alzheimer's Disease Patients
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Akio Ojida, Guy Lippens, Takashi Sakamoto, Itaru Hamachi, Masa Aki Inoue, Sho Hei Fujishima, Graduate School of Marine Science and Technology, Tokyo University of Marine Science and Technology (TUMSAT), Unité de Glycobiologie Structurale et Fonctionnelle UMR 8576 (UGSF), Institut National de la Recherche Agronomique (INRA)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 (UGSF), Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA), Université de Lille-Centre National de la Recherche Scientifique (CNRS), and Université de Lille-Institut National de la Recherche Agronomique (INRA)-Centre National de la Recherche Scientifique (CNRS)
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Boron Compounds ,MESH: Hippocampus ,Tau protein ,MESH: Boron Compounds ,Molecular Probe Techniques ,tau Proteins ,010402 general chemistry ,Hippocampus ,01 natural sciences ,Biochemistry ,MESH: Zinc ,Catalysis ,chemistry.chemical_compound ,MESH: Brain ,Colloid and Surface Chemistry ,Alzheimer Disease ,mental disorders ,Humans ,Phosphorylation ,Binding site ,[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biochemistry [q-bio.BM] ,MESH: Humans ,biology ,MESH: Phosphorylation ,010405 organic chemistry ,Brain ,Neurofibrillary Tangles ,General Chemistry ,Fluorescence ,Phosphorylated Peptide ,0104 chemical sciences ,[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biomolecules [q-bio.BM] ,MESH: tau Proteins ,Dissociation constant ,MESH: Molecular Probe Techniques ,Zinc ,Dipicolylamine ,chemistry ,biology.protein ,BODIPY ,Molecular probe ,MESH: Alzheimer Disease ,MESH: Neurofibrillary Tangles - Abstract
International audience; We have developed a new fluorescent binuclear Zn(II) complex for the detection of neurofibrillary tangles (NFTs) of hyperphosphorylated tau proteins, a representative hallmark of Alzheimer's disease (AD). The probe 1 incorporates a fluorescent BODIPY unit and two Zn(II)-2,2'-dipicolylamine (Dpa) complexes as a binding site for phosphorylated amino acid residues. Using fluorescence titration to evaluate the binding and sensing properties of 1 toward several phosphorylated peptide segments derived from hyperphosphorylated tau protein, we found that 1 binds preferentially to peptides presenting phosphorylated groups at the i and i+4 positions with dissociation constants (K(d)) in the micromolar range. Fluorescence titration with an artificially prepared aggregate of the phosphorylated tau protein (p-Tau) revealed that 1 binds strongly to p-Tau (EC(50) = 9 nM). In contrast, the interactions of 1 were weaker toward artificially prepared aggregates of the nonphosphorylated tau protein (n-Tau; EC(50) = 80 nM) and Abeta(1-42) fibrils (EC(50) = 650 nM). Histological imaging of a hippocampus tissue section obtained from an AD patient revealed that 1 fluorescently visualizes deposits of NFTs and clearly discriminates between NFTs and the amyloid plaques assembled from amyloid-beta peptides, confirming our strategy toward the rational design of a molecular probe for the selective fluorescence detection of NFTs in brain tissue sections.
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- 2009
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34. BGDL-II- A GPS data logger for birds
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Akira, Fukuda, Katsuji, Miwa, Eiji, Hirano, Makio, Suzuki, Hiroyoshi, Higuchi, Emiko, Morishita, David J., Anderson, Susan M., Waugh, Richard A., Phillips, and Faculty of Engineering, Shizuoka University/Koden Electronics, Co. Ltd./Koden Electronics, Co. Ltd./School of Marine Science and Technology, Tokai University/School of Marine Science and Technology, Tokai University/The School of Agricultural and Life Sciences, The University of Tokyo/The School of Agricultural and Life Sciences, The University of Tokyo/Department of Biology, Wake Forest University/Ministry of Fisheries/British Antarctic Survey
- Abstract
We have developed a new GPS data logger consisting of a receiver, timer, memory, and battery. It is principally designed for long period tracking of migratory birds. It can fix 600 positions with one small lithium battery. We can set an arbitrary measuring schedule prior to each experiment. We can, for example, track a bird over six months, fixing positions three times a day. The whole unit weighs 67 g including battery and casing. The casing is pressure-resistant up to 3 bars. The main advantages compared to tracking methods based on the ARGOS system are: 1) several times cheaper equipment, 2) no charge for the use of satellite links, 3) the errors in the position data obtained are more than 10 times smaller, 4) the schedule setting has greater flexibility, and 5) the fixing has a lesser failure rate. However these advantages are realized at the cost of real time delivery of position data as users must re-capture the birds to obtain the stored data. In this paper, we explain the configuration of equipment, principles of operation, and the performance. We also discuss some results of albatross tracking. In the experiment the failure rate in the fixing of the albatross positions averaged 20%.
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- 2004
35. A revolution without people? Closing the people-policy gap in aquaculture development
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Sebastian C. A. Ferse, José A. Pérez Agúndez, Gesche Krause, Michael Wilhelm Ebeling, Nardine Stybel, Eirik Mikkelsen, Max Troell, Cecile Brugere, Selina M. Stead, Amy Diedrich, Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), University of York [York, UK], Stockholm Environment Institute, Stockholm Environment Institute (SEI) University of York, SOCIB Balearic Islands Coastal Ocean Observing and Forecasting System, College of Marine and Environmental Sciences [cairns] (CMES), James Cook University (JCU), Johann Heinrich von Thünen-Institut, Institute for Sea Fisheries, Hochschule Bremen - University of Applied Sciences, Hochschule Bremen, Leibniz Center for Tropical Marine Ecology, Norut IT, University of Tromsø (UiT)-Norut Gruppen AS, Aménagement des Usages des Ressources et des Espaces marins et littoraux - Centre de droit et d'économie de la mer (AMURE), Centre National de la Recherche Scientifique (CNRS)-Université de Brest (UBO)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), School of Marine Science and Technology, Newcastle University [Newcastle], The Stockholm Resilience Centre, Stockholm University, Institut Universitaire Européen de la Mer (IUEM), and Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National de la Recherche Scientifique (CNRS)
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0106 biological sciences ,analytical framework ,Natural resource economics ,media_common.quotation_subject ,Aquaculture ,Public participation ,Aquatic Science ,Biology ,01 natural sciences ,[SHS]Humanities and Social Sciences ,policy making ,participatory approach ,14. Life underwater ,governance approach ,Biological sciences ,Human dimensions ,media_common ,2. Zero hunger ,business.industry ,aquaculture industry ,010604 marine biology & hydrobiology ,Environmental resource management ,Closing (real estate) ,public health ,Integrated analysis framework ,04 agricultural and veterinary sciences ,food security ,Socio-economic assessment ,integrated approach ,international organization ,aquaculture ,13. Climate action ,global perspective ,040102 fisheries ,0401 agriculture, forestry, and fisheries ,Aquaculture industry ,business ,Global risk - Abstract
International audience; Failure of the blue revolution is a global risk. The international problem is that there is a gap in knowledge exchange between the aquaculture industry, policy makers trying to support aquaculture development and people who depend on aquaculture for a job and/or food source. Thus, governments and international organizations promoting aquaculture as the solution to improving food security, nutrition and income are failing to optimise production of natural aquatic resources.We identify a "people-policy gap", and suggest that this is an understudied constraint, which needs to be overcome before worldwide food security can be achieved from aquatic environments. We argue that this gap leads to uneven distribution of benefits, a disconnection between benefits and local needs, and detrimental effects on human health and food security, all of which can have negative repercussions on human communities and ecosystems. In order to address this need, we present an analytical framework to guide context specific, policy-relevant assessments of the social, economic and ecological dimensions of aquaculture on a case-by-case basis. The framework is designed to make best use of existing data and scientific tools for decision-making.In conclusion, we argue for: equal consideration of ecological, social and economic issues in aquaculture policy-making; pre-emptive identification of likely social impacts; integration of people- and context-specific social framing conditions into planning and policy review; addressing the social disconnection between global consumption and production; and, encouragement of creative combinations of theories and methods to assess and interpret the social dimensions of aquaculture in multiple contexts. © 2015 Elsevier B.V.
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- 2015
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36. Large scale surveys for cetaceans: Line transect assumptions, reliability of abundance estimates and improving survey efficiency - A response to MacLeod
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Ana Cañadas, Charles G. M. Paxton, Kristina Lehnert, Anita Gilles, M Louise Burt, Nils Øien, Filipa I. P. Samarra, Douglas Gillespie, Geneviève Desportes, Greg P Donovan, Mark L. Tasker, Jonas Teilmann, Vincent Ridoux, Mardik F. Leopold, Emer Rogan, Ursula Siebert, Jonathan Gordon, José Antonio Vázquez, Per Berggren, David L. Borchers, Henrik Skov, Philip S. Hammond, Russell Leaper, Meike Scheidat, René Swift, Kelly Macleod, Olivier Van Canneyt, Philip Lovell, Scottish Oceans Institute, University of St Andrews [Scotland], Joint Nature Conservation Committee (UK), Inverdee House, School of Marine Science and Technology, Newcastle University [Newcastle], Centre for Research into Ecological and Environmental Modelling, Alnilam Investigación y Conservación, GDnatur, International Whaling Commission, The Red House, Institute for Terrestrial and Aquatic Wildlife Research (ITAW), University of Veterinary Medicine Hannover Foundation (TiHo), Ecologic, International Fund for Animal Welfare (UK), IMARES, Institute for Marine Resources and Ecosystem Studies, Institute of Marine Research [Bergen] (IMR), University of Bergen (UiB), LIttoral ENvironnement et Sociétés - UMRi 7266 (LIENSs), Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS), School of Biological, Earth and Environmental Sciences [Cork] (BEES), University College Cork (UCC), DHI, National Environmental Research Institute, National Environmental Research Institute (NERI), Centre de Recherche sur les Mammifères Marins (CRMM), Université de La Rochelle (ULR), and Sociedad Española de Cetáceos
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Marine conservation ,Environmental modelling ,Ecology ,Survey research ,Archaeology ,Paxton ,Marine research ,13. Climate action ,Nature Conservation ,[SDE]Environmental Sciences ,14. Life underwater ,Ecology, Evolution, Behavior and Systematics ,Dove ,ComputingMilieux_MISCELLANEOUS ,Nature and Landscape Conservation - Abstract
estimates and improving survey efficiency – a response to MacLeod Philip S Hammond, Kelly Macleod, Per Berggren, David L Borchers, Louise Burt, Ana Canadas, Genevieve Desportes, Greg P Donovan, Anita Gilles, Douglas Gillespie, Jonathan Gordon, Russell Leaper, Kristina Lehnert, Mardik Leopold, Phil Lovell, Nils Oien, Charles GM Paxton, Vincent Ridoux, Emer Rogan, Filipa Samarra, Meike Scheidat, Ursula Siebert, Henrik Skov, Rene Swift, Mark L Tasker, Jonas Teilmann, Olivier Van Canneyt, Jose Antonio Vazquez a Sea Mammal Research Unit, Scottish Oceans Institute, University of St Andrews, St Andrews, Fife KY16 8LB, UK. b Joint Nature Conservation Committee, Inverdee House, Baxter Street, Aberdeen AB11 9QA, UK. c School of Marine Science and Technology, Dove Marine Laboratory, Newcastle University, Cullercoats, North Shields, Tyne and Wear, NE30 4PZ, UK. d Centre for Research into Ecological and Environmental Modelling, Buchanan Gardens, University of St Andrews, St Andrews, Fife KY16 9LZ, UK. e Alnilam Investigacion y Conservacion, Candamo 116, 28240 Hoyo de Manzanares, Madrid, Spain. f GDnatur, DK-5300 Kerteminde, Denmark. g International Whaling Commission, The Red House, 135 Station Road, Impington, Cambridge CB4 9NP, UK. h Institute for Terrestrial and Aquatic Wildlife Research (ITAW), University of Veterinary Medicine Hannover Foundation (TiHo), Werftstr. 6, 25761 Busum, Germany. i Ecologic, 7 Beechwood Terrace West, Newport on Tay, Fife DD6 8JH, UK. j International Fund for Animal Welfare, 87-90 Albert Embankment, London SE1 7UD, UK. k IMARES Institute for Marine Resources and Ecosystem Studies, PO Box 167, 1790 AD Den Burg, The Netherlands. l Institute of Marine Research, PO Box 1870 Nordnes, N-5817 Bergen, Norway. m Littoral, Environnement et Societes, UMR 6250, Universite de La Rochelle / CNRS, 2 rue Olympe de Gouges, 17032 La Rochelle, Cedex France. n School of Biological, Earth and Environmental Sciences, University College Cork, Distillery Fields, North Mall, Cork, Ireland. o DHI, Agern Alle 5, DK-2920 Horsholm, Denmark. p Department of Bioscience, Aarhus University, Frederiksborgvej 399, DK-4000, Roskilde, Denmark. q Centre de Recherche sur les Mammiferes Marins, Observatoire Pelagis, UMS 3462, Universite de La Rochelle, CNRS, Pole Analytique, 5 allees de l’Ocean, 17000 La Rochelle, France. r Sociedad Espanola de Cetaceos, Cabeza de Manzaneda 3, Algeciras, Pelayo, 11390, Spain.
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- 2014
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37. ESTIMATION OF VERTICAL PROFILE OF CHLOROPHYLL CONCENTRATION AROUND THE ANTARCTIC PENINSULA DERIVED FROM CZCS IMAGES BY THE STATISTICAL METHOD (18th Symposium on Polar Biology)
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Noritsugu, KIMURA, Yoshihiro, OKADA, Proceeding, and Department of Ocean Engineering School of Marine Science and Technology, Tokai University
- Abstract
The vertical profile of chlorophyll concentration in waters around the Antarctic Peninsula was estimated using a statistical method (Empirical Orthogonal Function Analysis: EOF Analysis), analyzing more than 200 ship observations from the surface to 150 m. Also a method is established to predict the vertical profile from CZCS-derived concentration. The comparison in terms of vertical profile demonstrates good agreement (relative error=40%) between CZCS prediction and ship-observation. The prediction by the model only needs one input, surface chlorophyll concentration, which can be easily derived from the satellite remote sensing data.
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- 1997
38. An update to the Surface Ocean CO2 Atlas (SOCAT version 2)
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Bakker, Dorothee C. E., Pfeil, Benjamin, Smith, Karl M., Hankin, Steven, Olsen, Are, Alin, Simone R., Cosca, Catherine E., Harasawa, Sumiko, Kozyr, Alex, Nojiri, Yukihiro, O'Brien, Kevin M., Schuster, Ute, Telszewski, Maciej, Tilbrook, Bronte, Wada, Chisato, Akl, J., Barbero, Leticia, Bates, Nicholas R., Boutin, Jacqueline, Cai, Wei-Jun, Castle, Robert D., Chavez, Francisco P., Chen, Lin, Chierici, Melissa, Currie, Kim, de Baar, Hein J. W., Evans, Wiley, Feely, Richard A., Fransson, Agneta, Gao, Z., Hales, Burke, Hardman-Mountford, Nick J., Hoppema, Mario, Huang, W.-J., Hunt, Christopher W., Huss, Betty, Ichikawa, T., Johannessen, Truls, Jones, E. M., Jones, Stephen D., Jutterström, Sara, Kitidis, Vassilis, Körtzinger, Arne, Landschützer, Peter, Lauvset, Siv K., Lefèvre, Nathalie, Manke, Ansley B., Mathis, Jeremy T., Merlivat, Liliane, Metzl, Nicolas, Murata, Akihiko, Newberger, Timothy, Ono, Tsuneo, Park, G.-H., Paterson, Kristina, Pierrot, Denis, Ríos, Aida F., Sabine, Christopher L., Saito, Shu, Salisbury, Joseph E., Sarma, V. V. S. S., Schlitzer, Reiner, Sieger, Rainer, Skjelvan, Ingunn, Steinhoff, Tobias, Sullivan, Kevin F., Sun, H., Sutton, Adrienne J., Suzuki, T., Sweeney, Colm, Takahashi, Taro, Tjiputra, Jerry, Tsurushima, N., van Heuven, Steven M. A. C., Vandemark, Doug, Vlahos, P., Wallace, Douglas W. R., Wanninkhof, Rik H., Watson, Andrew J., Centre for Ocean and Atmospheric Sciences [Norwich] (COAS), School of Environmental Sciences [Norwich], University of East Anglia [Norwich] (UEA)-University of East Anglia [Norwich] (UEA), Geophysical Institute [Bergen] (GFI / BiU), University of Bergen (UiB), Bjerknes Centre for Climate Research (BCCR), Department of Biological Sciences [Bergen] (BIO / UiB), University of Bergen (UiB)-University of Bergen (UiB), Joint Institute for the Study of the Atmosphere and Ocean (JISAO), University of Washington [Seattle], NOAA Pacific Marine Environmental Laboratory [Seattle] (PMEL), National Oceanic and Atmospheric Administration (NOAA), National Institute for Environmental Studies (NIES), Carbon Dioxide Information Analysis Center [Oak Ridge] (CDIAC), U.S. Department of Energy [Washington] (DOE), Échanges dans la couche de surface : des pôles aux tropiques (SURF), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Royal Netherlands Institute for Sea Research (NIOZ), Ocean Acidification Research Center [Fairbanks] (OARC), University of Alaska [Fairbanks] (UAF), Key Laboratory of Molecular Virology & Immunology (LMVI), Institut Pasteur de Shanghai, Académie des Sciences de Chine - Chinese Academy of Sciences (IPS-CAS), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Ocean Research Group, School of Marine Science and Technology, Couplage physique-biogéochimie-carbone (PHYBIOCAR), Instituto de Investigaciones Marinas, Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Department of chemistry and Biochemistry (DCB), Brigham Young University (BYU), Met Eireann, Forschungsbereich Marine Biogeochemie, Leibniz-Institut für Meereswissenschaften (IFM-GEOMAR), European Project: 264879,EC:FP7:ENV,FP7-ENV-2010,CARBOCHANGE(2011), European Project: 283080,EC:FP7:ENV,FP7-ENV-2011,GEOCARBON(2011), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636))
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[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] ,[SDE.MCG]Environmental Sciences/Global Changes ,[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] - Abstract
International audience; The Surface Ocean CO2 Atlas (SOCAT) is an effort by the international marine carbon research community. It aims to improve access to carbon dioxide measurements in the surface oceans by regular releases of quality controlled and fully documented synthesis and gridded fCO2 (fugacity of carbon dioxide) products. SOCAT version 2 presented here extends the data set for the global oceans and coastal seas by four years and has 10.1 million surface water fCO2 values from 2660 cruises between 1968 and 2011. The procedures for creating version 2 have been comparable to those for version 1. The SOCAT website (http://www.socat.info/) provides access to the individual cruise data files, as well as to the synthesis and gridded data products. Interactive online tools allow visitors to explore the richness of the data. Scientific users can also retrieve the data as downloadable files or via Ocean Data View. Version 2 enables carbon specialists to expand their studies until 2011. Applications of SOCAT include process studies, quantification of the ocean carbon sink and its spatial, seasonal, year-to-year and longer-term variation, as well as initialisation or validation of ocean carbon models and coupled-climate carbon models.
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- 2013
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39. Permanent Genetic Resources added to Molecular Ecology Resources Database 1 August 2012-30 September 2012
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Ahanchede , Adam, Alfay , José E. F., Andersen , L. W., Azam , Didier, Bautista , Ma. Anita M., Besnard , Anne-Laure, Bigatti , Gregorio, Bouetard , Anthony, Coutellec , Marie-Agnès, Ewedje , Eben-Ezer B. K, Fuseya , Reiko, Garcia-Jimenez , Ricardo, Haratian , M., Hardy , Olivier J., Holm , L. E., Hoy , Casey W., Koshimizu , Eriko, Loeschcke , V., Lopez-Marquez , Violeta, Machado , Carlos A, Machordom , Annie, Marchi , C., Michel , Andrew P., Micheneau , Claire, Mittapalli , Omprakash, Nagai , Takahiro, Okamoto , Nobuaki, Pan , Ying, Panitz , F., Safaie , N., Sakamoto , Takashi, Sharifnabi , B., Tian , En-Wei, Yu , Hui, Mol Ecology Resources Primer , Development Consortium, Université d'Abomey Calavi, Laboratorio de Reproducción y Biología Integrativa de Invertebrados Marinos ( LARBIM ), Centro Nacional Patagónico ( CENPAT-CONICET ), Aarhus University [Aarhus], Unité d'Ecologie et Ecotoxicologie Aquatiques ( UEEA ), Institut National de la Recherche Agronomique ( INRA ), Ohio Agricultural Research and Developmhio Agricultural Research and Development Centeent Center, The Ohio State University, Wooster, OH, USA, Ohio State University [Columbus] ( OSU ), Écologie et santé des écosystèmes ( ESE ), AGROCAMPUS OUEST-Institut National de la Recherche Agronomique ( INRA ), LARBIM, Consejo Nacional de Investigaciones Científicas y Técnicas ( CONICET ), Evolutionary Biology and Ecology Unit CP 160/12, Faculté des Sciences, National Research Institute of Fisheries Engineering, Museo Nacional de Ciencias Naturales, College of Agriculture, Tarbiat Modares University, Université Libre de Bruxelles [Bruxelles] ( ULB ), Department of Molecular Biology and Genetics, Ohio Agricultural Research and Development Center, Tokyo University of Marine Science and Technology, Integrative Ecology and Evolution, Department of Biology, University of Maryland [College Park], Department of Entomology, Ohio Agricultural Research and Development Center, The Ohio State University, OH, Faculté des Sciences ( Université Libre de Bruxelles ), James Cook University ( JCU ), The Ohio State University, Ohio Agricultural Research and Development Center ( Department of Entomology ), Hiroshima Prefectural Technology Research Institute ( Fisheries and Marine Technology Center ), Graduate School of Marine Science and Technology, College of Animal Science and Technology, Guangxi University, Guangxi University, Department of Plant Protection, College of Agriculture, Isfahan, Iran, Isfahan University of Technology, South China Botanical Garden, Key Laboratory of Plant Resources Conservation and Sustainable Utilization ( Chinese Academy of Sciences ), Chinese Academy of Sciences [Beijing] ( CAS ), Molecular Ecology Resources Editorial Office, University of Abomey Calavi (UAC), Laboratorio de Reproducción y Biología Integrativa de Invertebrados Marinos (LARBIM), Centro Nacional Patagónico (CENPAT), Unité d'Ecologie et Ecotoxicologie Aquatiques (UEEA), Institut National de la Recherche Agronomique (INRA), Ohio State University [Columbus] (OSU), Écologie et santé des écosystèmes (ESE), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Museo Nacional de Ciencias Naturales (MNCN), Tarbiat Modares University [Tehran], Université libre de Bruxelles (ULB), Tokyo University of Marine Science and Technology (TUMSAT), University of Maryland System-University of Maryland System, James Cook University (JCU), Hiroshima Prefectural Technology Research Institute (Fisheries and Marine Technology Center), Guangxi University [Nanning], University of Maryland System, Key Laboratory of Plant Resources Conservation and Sustainable Utilization (Chinese Academy of Sciences), Chinese Academy of Sciences [Beijing] (CAS), and Université Libre de Bruxelles [Bruxelles] (ULB)
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0106 biological sciences ,[SDV]Life Sciences [q-bio] ,Molecular Sequence Data ,MathematicsofComputing_GENERAL ,Panopea abbreviata ,computer.software_genre ,Polymorphism, Single Nucleotide ,010603 evolutionary biology ,01 natural sciences ,Molecular ecology ,Rhizoctonia solani ,InformationSystems_GENERAL ,03 medical and health sciences ,Species Specificity ,Genetic resources ,Databases, Genetic ,Genetics ,Animals ,Pentadesma ,Molecular Biology ,Ecology, Evolution, Behavior and Systematics ,Inimicus japonicus ,DNA Primers ,030304 developmental biology ,0303 health sciences ,Base Sequence ,Ecology ,biology ,Database ,[ SDV ] Life Sciences [q-bio] ,TheoryofComputation_GENERAL ,Plutella ,Sequence Analysis, DNA ,15. Life on land ,biology.organism_classification ,Geography ,Microsatellite ,computer ,Microsatellite Repeats ,Biotechnology - Abstract
Molecular Ecology Resources Primer Development Consortium [et al.], Isolation and characterisation of microsatellite loci for the 1 southern geoduck Panopea abbreviata (Valenciennes, 1839) through 454 pyrosequencing. This article documents the addition of 83 microsatellite marker loci and 96 pairs of single-nucleotide polymorphism (SNP) sequencing primers to the Molecular Ecology Resources Database. Loci were developed for the following species: Bembidion lampros, Inimicus japonicus, Lymnaea stagnalis, Panopea abbreviata, Pentadesma butyracea, Sycoscapter hirticola and Thanatephorus cucumeris (anamorph: Rhizoctonia solani). These loci were cross-tested on the following species: Pentadesma grandifolia and Pentadesma reyndersii. This article also documents the addition of 96 sequencing primer pairs and 88 allele-specific primers or probes for Plutella xylostella.
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- 2013
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40. Upwind sail aerodynamics : A RANS numerical investigation validated with wind tunnel pressure measurements
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M. Riotte, Ignazio Maria Viola, Patrick Bot, School of Marine Science and Technology, Newcastle University [Newcastle], Institut de Recherche de l'Ecole Navale (IRENAV), Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), and the third author received a financial support from Brest Métropole Océane and the ERASMUS scholarship
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[PHYS.PHYS.PHYS-FLU-DYN]Physics [physics]/Physics [physics]/Fluid Dynamics [physics.flu-dyn] ,FULL-SCALE ,Meteorology ,RANS ,020101 civil engineering ,02 engineering and technology ,Computational fluid dynamics ,Quantitative Biology::Other ,01 natural sciences ,010305 fluids & plasmas ,0201 civil engineering ,[SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph] ,Physics::Fluid Dynamics ,Physics::Popular Physics ,Parasitic drag ,0103 physical sciences ,DISTRIBUTIONS ,14. Life underwater ,[PHYS.MECA.MEFL]Physics [physics]/Mechanics [physics]/Fluid mechanics [physics.class-ph] ,Wind tunnel ,Fluid Flow and Transfer Processes ,Lift-induced drag ,business.industry ,Mechanical Engineering ,Laminar flow ,Mechanics ,Aerodynamics ,Condensed Matter Physics ,Aerodynamic force ,viscous drag ,Drag ,Analyse numérique [Mathématique] ,Physics::Space Physics ,laminar separation bubble ,Dynamique des Fluides [Physique] ,yacht ,business ,CFD ,Mécanique: Mécanique des fluides [Sciences de l'ingénieur] ,Geology ,[MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA] ,sail aerodynamics - Abstract
A novel method similar to marching technique was used to model wind tunnel tests. ► Sail trim criteria based on their interactive effect are identified. ► Areas of separated flow were characterised. ► Local flow field was correlated with sail surface pressures. ► An aerodynamic model based on potential flow with viscous correction is proposed. The aerodynamics of a sailing yacht with different sail trims are presented, derived from simulations performed using Computational Fluid Dynamics. A Reynolds-averaged Navier-Stokes approach was used to model sixteen sail trims first tested in a wind tunnel, where thepressure distributions on the sails were measured. An original approach was employed byusing two successive simulations: the first one on a large domain to model the blockage due to the wind tunnel walls and the sails model, and a second one on a smaller domain to model the flow around the sails model. A verification and validation of the computed aerodynamic forces and pressure distributions was performed. The computed pressure distribution is shown to agree well with the measured pressures. The sail surface pressure was correlated with the increase of turbulent viscosity in the laminar separation bubble, the flow reattachment and the trailing edge separation. The drive force distribution on both sails showed that the fore part of the genoa (fore sail) provides the majority of the drive force and that the effect of the aft sail is mostly to produce an upwash effect on the genoa. An aerodynamic model based on potential flow theory and a viscous correction is proposed. This model, with one free parameter to be determined, is shown to fit the results better than the usual form drag and induced drag only, even if no friction drag is explicitly considered. the third author received a financial support from Brest Métropole Océane and the ERASMUS scholarship
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- 2012
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41. Permanent genetic resources added to Molecular Ecology Resources database 1 June 2011-31 July 2011
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Barker , F. Keith, Bell , James J., Bogdanowicz , Steven M., Bonatto , S.L., Cézilly , Frank, Collins , Sarah M., Dubreuil , Christine, Dufort , Matthew J., Eraud , Cyril, Fuseya , Reiko, Heap , E.A., Jacobsen , N., Madders , M., Mcewing , R., Michel , Andrew P., Mougeot , F., Ogden , R.S., Orantes , Lucia C., Othman , A.S., Parent , Eric, Pulido-Santacruz , P., Rioux-Paré , Rachel, Roberts , M.F., Rosazlina , R., Sakamoto , Takashi, Salinas De-León , Pelayo, Sévigny , Jean-Marie, St-Onge , Philippe, Terraube , J., Tingay , R.E., Tremblay , Réjean, Watanabe , Seiichi, Wattier , Rémi A., Department of Ecology, Evolution, and Behavior, University of Minnesota [Minneapolis], Bell Museum of Natural History, Centre for Marine Environmental and Economic Research, Victoria University of Wellington, Department of Ecology & Evolutionary Biology, Cornell University, Laboratório de Biologia Genômica e Molecular, Pontifícia Universidade Católica do Rio Grande do Sul, Biogéosciences [Dijon] ( BGS ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), CNERA Avifaune migratrice - Station de Chizé, Office National de la Chasse et de la Faune Sauvage, Fisheries Research Agency, National Research Institute of Fisheries Engineering, WildGenes, Royal Zoological Society of Scotland, Natural Research Ltd, Department of Agronomy and Ecology, University of Copenhagen ( KU ), Department of Entomology, Ohio State University [Columbus] ( OSU ), IREC, Consejo Superior de Investigaciones Científicas [Spain] ( CSIC ) -UCLM-JCCM, Estación Experimental de Zonas Áridas, Consejo Superior de Investigaciones Científicas [Spain] ( CSIC ) -EEZA, School of Biological Sciences, Universiti Sains Malaysia ( USM ), Institut Maurice-Lamontagne, Pêches et Océans Canada, Graduate School of Marine Science and Technology, Tokyo University of Marine Science and Technology, Institut des Sciences de la Mer, Université du Québec A Rimouski ( UQAR ), University of Minnesota [Twin Cities] (UMN), University of Minnesota System-University of Minnesota System, Department of Ecology and Evolutionary Biology [Ithaca], Cornell University [New York], Biogéosciences [UMR 6282] [Dijon] (BGS), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Faculty of Life Science [Copenhagen], University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Ohio State University [Columbus] (OSU), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC)-UCLM-JCCM, Consejo Superior de Investigaciones Científicas [Madrid] (CSIC)-EEZA, Universiti Sains Malaysia (USM), Tokyo University of Marine Science and Technology (TUMSAT), and Université du Québec à Rimouski (UQAR)
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0106 biological sciences ,0303 health sciences ,[SDV.GEN]Life Sciences [q-bio]/Genetics ,Ecology ,Polymorphism, Single Nucleotide ,010603 evolutionary biology ,01 natural sciences ,03 medical and health sciences ,Species Specificity ,Databases, Genetic ,Genetics ,[ SDV.GEN ] Life Sciences [q-bio]/Genetics ,Ecology, Evolution, Behavior and Systematics ,DNA Primers ,Microsatellite Repeats ,030304 developmental biology ,Biotechnology - Abstract
Permanent genetic Resources Note: Molecular Ecology Resources Primer Development Consortium, et al., This article documents the addition of 112 microsatellite marker loci and 24 pairs of single nucleotide polymorphism (SNP) sequencing primers to the Molecular Ecology Resources Database. Loci were developed for the following species: Agelaius phoeniceus, Austrolittorina cincta, Circus cyaneus, Circus macrourus, Circus pygargus, Cryptocoryne×purpurea Ridl. nothovar. purpurea, Mya arenaria, Patagioenas squamosa, Prochilodus mariae, Scylla serrata and Scytalopus speluncae. These loci were cross-tested on the following species: Cryptocoryne×purpurea nothovar. purpurea, Cryptocoryne affinis, Cryptocoryne ciliata, Cryptocoryne cordata var. cordata, Cryptocoryne elliptica, Cryptocoryne griffithii, Cryptocoryne minima, Cryptocoryne nurii and Cryptocoryne schulzei. This article also documents the addition of 24 sequencing primer pairs and 24 allele-specific primers or probes for Aphis glycines.
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- 2011
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42. Permanent genetic resources added to molecular ecology resources database 1 May 2009-31 July 2009
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Maurizio Rossetto, Nathan R. Campbell, Maurício P. Arruda, Simon R. Thorrold, Shuyi Zhang, Steven M. Bogdanowicz, Geoffrey P. Jones, Ka Hou Chu, Steven J. Klosterman, Weisha Luan, Carlos Augusto Strüssmann, Markus Riegler, Christina Riehl, S. P. Hudman, Eduardo Eizirik, Yan Wang, Qianqian Li, Kevin J. Roe, Danhua Wu, Michael L. Berumen, Bao-Ping Zhai, Karolina Härnström, Artur Silva, Cheng-Hua Huang, Elisabeth Rochel, Andrew Weeks, James P. Cuda, R. M. Davis, José A. Dávila, Ester A. Serrão, John M. K. Roberts, Amber M. Grajczyk, Nusha Keyghobadi, Susanne Krumböck, Wolfgang Arthofer, Emily S. Davis, S.D. Brown, Feng Tan, Patrick Roberts, R.X. Wang, P.J.G. De Nova, Onno E. Diekmann, Morgan S. Pratchett, Eriko Koshimizu, Mario L. Lasta, Elizabeth Gallagher, Indrani Karunasagar, Yongqiang Gao, M. Liu, V. Saravanan, Dean A. Williams, Bilal Rasool, Ian G. Paterson, Olivia A. Patty, Ru Zhao, Yung Wa Sin, K. N. Neufeld, Anne Loiseau, Serge Planes, Eugenio Daniel Tejedor, Loukas Kanetis, Nobuaki Okamoto, Christer Halldén, Cynthia Yau, Marc A. Cubeta, Juan A. Fargallo, Phillip A. Wadl, Margaret M. Koopman, Pablo Vergara, Maria Paula Cruz Schneider, Kirsten Köppler, Mirjam S. van de Vliet, Xiangjiang Zhan, Gerald J. Holmes, Craig Syms, Tomás E. Murray, Amanda H. Hemmingsen, T. Kubisiak, J. Koch, Wenchao Liu, Anke Schmidt, Patrick J. Monnahan, Fuwen Wei, Xinwang Wang, Glenn R. Almany, Robert N. Trigiano, Hannes Schuler, Zahi K. Atallah, Karunakaran Maruthachalam, Gordana Rašić, Rong-Chien Lin, Cheng-Te Yao, Bryan C. Carstens, C. Burdine, Hongxia Wang, Ahmad Sofiman Othman, Eliana Morielle-Versute, Cladinara Roberts Sarturi, Krishna V. Subbarao, Evonnildo Costa Gonçalves, Yaohua Shi, Jeremiah W. Busch, Licínia Gouveia, Rohan Mellick, Steven R. Beissinger, Yuan Liu, Olivier Rey, Takashi Sakamoto, E. O. Wiley, Lifeng Zhu, Page E. Klug, Anna Godhe, Philippe Girard, Na Liu, Zhaoxia Cui, Jacob B. Landis, M. J. Grose, Aimin Wang, Iddya Karunasagar, Lawrence E. Datnoff, Christian Stauffer, María I. Trucco, Michael William Bruford, Chow-Yang Lee, Jeanne M. Serb, Hideo Fukuda, Liane R. Gale, Robert J. Paxton, Thomas Püttker, Renata Pardini, Carolyn Porter, Dianne Carey, Samantha M. Wisely, William J. Werner, Chuan-Chin Huang, Guo-Yan Zhang, Simone Sommer, William A. Overholt, Zhifeng Gu, Peter S. Ojiambo, Beng-Keok Yeap, Helen M. McCormick, Shou Hsien Li, Richard J. Wilkins, Mirian T. N. Tsuchiya-Jerep, Fabiano Fernandes, Daniel E. Ruzzante, Shawn R. Narum, ARC Centre of Excellence for Coral Reef Studies (CoralCoE), James Cook University (JCU), Universidade Estadual Paulista Julio de Mesquita Filho (UNESP), Institute of Ecology, University of Innsbruck, Department of Plant Pathology, University of Kentucky, University of California [Berkeley], University of California, Biology Department (WHOI), Woods Hole Oceanographic Institution (WHOI), Department of Ecology and Evolutionary Biology, Cornell University, University of Miami [Coral Gables], Cardiff University, United States Department of Agriculture - USDA (USA), Washington State University (WSU), Columbia River Inter-Tribal Fish Commission, Partenaires INRAE, Department of Biological Sciences, Louisiana State University (LSU), Chinese University of Hong Kong, Iowa State University (ISU), Department of Entomology and Nematology, University of California [Davis] (UC Davis), University of California-University of California, Chinese Academy of Sciences (CAS), Department of Plant Pathology and Crop Physiology, Instituto de Investigación en Recursos Cinegéticos (IREC), School of Biological Sciences [Belfast], Queen's University [Belfast] (QUB), Universidade do Algarve (UAlg), Pontifícia Universidade Católica do Rio Grande do Sul, Instituto Pró-Carnívoros, Museo Nacional de Ciencias Naturales (MNCN), Leibniz Institute for Zoo and Wildlife Research (IZW), Leibniz Association, Graduate School of Marine Science and Technology, Tokyo University of Marine Science and Technology (TUMSAT), Department of plant pathology, University of Minnesota [Twin Cities], University of Minnesota System-University of Minnesota System, Motianling Nature Reserve, Department of Marine Ecology, University of Gothenburg (GU), Universidade Federal do Paraná (UFPR), Department of Biology, Texas Christian University (TCU), University of Kansas [Lawrence] (KU), Hainan University, Malmö University Hospital, Department of Ecology, Evolution and Organismal Biology, National Taiwan Ocean University (NTOU), Truman State University, School of Marine and Tropical Biology, Karnataka Veterinary Animal and Fisheries Sciences University, Northern Arizona University [Flagstaff], ARS, Division of Biology, Kansas State University, Federal Research Centre for Cultivated Plants, Julius Kühn Institute (JKI), Universität für Bodenkultur Wien [Vienne, Autriche] (BOKU), Instituto Nacional de Investigación y Desarrollo Pesquero, University Sains Malaysia, Zhejiang Ocean University, East China Normal University, Centre de Biologie pour la Gestion des Populations (UMR CBGP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), National Herbarium of New South Wales, Royal Botanic Gardens & Domain Trust, University of Adelaide, University of Florida [Gainesville], Universidade de São Paulo (USP), Dalhousie University, Centre de recherches insulaires et observatoire de l'environnement (CRIOBE), Université de Perpignan Via Domitia (UPVD)-École pratique des hautes études (EPHE)-Centre National de la Recherche Scientifique (CNRS), Western Sydney University (UWS), Princeton University, Department of Migration and Immuno-ecology, Max Planck Institute for Ornithology, Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, and University of Melbourne
- Subjects
food.ingredient ,Agricultural Biotechnology ,MICROSATELLITE ,Zoology ,computer.software_genre ,Falco tinnunculus ,Falco columbarius ,food ,GENBANK ,Genetics ,Podocarpus elatus ,Ecology, Evolution, Behavior and Systematics ,Skeleton ,Uroteuthis ,[SDV.EE]Life Sciences [q-bio]/Ecology, environment ,Marmosops paulensis ,biology ,Database ,Agricultural Sciences ,Marine diatom ,Falco naumanni ,Diatom ,biology.organism_classification ,INSECTE ,Podocarpus smithii ,computer ,ECOLOGIE ,Biotechnology ,Falco eleonorae - Abstract
Molecular Ecology Resources Primer Development Consortium: et al., This article documents the addition of 512 microsatellite marker loci and nine pairs of Single Nucleotide Polymorphism (SNP) sequencing primers to the Molecular Ecology Resources Database. Loci were developed for the following species: Alcippe morrisonia morrisonia, Bashania fangiana, Bashania fargesii, Chaetodon vagabundus, Colletes floralis, Coluber constrictor flaviventris, Coptotermes gestroi, Crotophaga major, Cyprinella lutrensis, Danaus plexippus, Fagus grandifolia, Falco tinnunculus, Fletcherimyia fletcheri, Hydrilla verticillata, Laterallus jamaicensis coturniculus, Leavenworthia alabamica, Marmosops incanus, Miichthys miiuy, Nasua nasua, Noturus exilis, Odontesthes bonariensis, Quadrula fragosa, Pinctada maxima, Pseudaletia separata, Pseudoperonospora cubensis, Podocarpus elatus, Portunus trituberculatus, Rhagoletis cerasi, Rhinella schneideri, Sarracenia alata, Skeletonema marinoi, Sminthurus viridis, Syngnathus abaster, Uroteuthis (Photololigo) chinensis, Verticillium dahliae, Wasmannia auropunctata, and Zygochlamys patagonica. These loci were cross-tested on the following species: Chaetodon baronessa, Falco columbarius, Falco eleonorae, Falco naumanni, Falco peregrinus, Falco subbuteo, Didelphis aurita, Gracilinanus microtarsus, Marmosops paulensis, Monodelphis Americana, Odontesthes hatcheri, Podocarpus grayi, Podocarpus lawrencei, Podocarpus smithii, Portunus pelagicus, Syngnathus acus, Syngnathus typhle,Uroteuthis (Photololigo) edulis, Uroteuthis (Photololigo) duvauceli and Verticillium albo-atrum. This article also documents the addition of nine sequencing primer pairs and sixteen allele specific primers or probes for Oncorhynchus mykiss and Oncorhynchus tshawytscha; these primers and assays were cross-tested in both species.
- Published
- 2009
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43. Anthropogenic stressors, inter-specific competition and ENSO effects on a Mauritian coral reef
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N.A.J., Graham, Mc Clanahan, T.R., Letourneur, Yves, Galzin, R., Diversité, évolution et écologie fonctionnelle marine (DIMAR), Université de la Méditerranée - Aix-Marseille 2-Centre National de la Recherche Scientifique (CNRS), School of Marine Science and Technology, Newcastle University [Newcastle], Marine Programs, Wildlife Conservation Society, Centre de recherches insulaires et observatoire de l'environnement (CRIOBE), Université de Perpignan Via Domitia (UPVD)-École pratique des hautes études (EPHE), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)
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[SDE.BE]Environmental Sciences/Biodiversity and Ecology - Published
- 2007
44. SEAFLUX
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J. A. Curry, A. Bentamy, M. A. Bourassa, D. Bourras, E. F. Bradley, M. Brunke, S. Castro, S. H. Chou, C. A. Clayson, W. J. Emery, L. Eymard, C. W. Fairall, M. Kubota, B. Lin, W. Perrie, R. A. Reeder, I. A. Renfrew, W. B. Rossow, J. Schulz, S. R. Smith, P. J. Webster, G. A. Wick, X. Zeng, Department of Earth and Atmospheric Sciences [Atlanta], Georgia Institute of Technology [Atlanta], Institut Français de Recherche pour l'Exploitation de la Mer - Brest (IFREMER Centre de Bretagne), Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), Center for Ocean-Atmospheric Prediction Studies (COAPS), Florida State University [Tallahassee] (FSU), Centre d'étude des environnements terrestre et planétaires (CETP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), CSIRO Land and Water, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Department of Atmospheric Sciences [Tucson], University of Arizona, Department of Aerospace Engineering Sciences, University of Colorado [Boulder], NASA Goddard Space Flight Center (GSFC), NOAA Environmental Technology Laboratory, National Oceanic and Atmospheric Administration (NOAA), School of Marine Science and Technology [Shizuoka], Tokai University, NASA Langley Research Center [Hampton] (LaRC), Institut océanographique Bedford - Bedford Oceanographic Institute [Dartmouth, Canada] (IOB), British Antarctic Survey (BAS), Natural Environment Research Council (NERC), NASA Goddard Institute for Space Studies (GISS), Meteorological Institute [Bonn], and Rheinische Friedrich-Wilhelms-Universität Bonn
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[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere ,Atmospheric Science ,010504 meteorology & atmospheric sciences ,13. Climate action ,[SDE.MCG]Environmental Sciences/Global Changes ,14. Life underwater ,010502 geochemistry & geophysics ,[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment ,01 natural sciences ,Physics::Atmospheric and Oceanic Physics ,0105 earth and related environmental sciences ,Physics::Geophysics - Abstract
High-resolution surface fluxes over the global ocean are needed to evaluate coupled atmosphere–ocean models and weather forecasting models, provide surface forcing for ocean models, understand the regional and temporal variations of the exchange of heat between the atmosphere and ocean, and provide a large-scale context for field experiments. Under the auspices of the World Climate Research Programme (WCRP) Global Energy and Water Cycle Experiment (GEWEX) Radiation Panel, the SEAFLUX Project has been initiated to investigate producing a high-resolution satellite-based dataset of surface turbulent fluxes over the global oceans to complement the existing products for surface radiation fluxes and precipitation. The SEAFLUX Project includes the following elements: a library of in situ data, with collocated satellite data to be used in the evaluation and improvement of global flux products; organized intercom-parison projects, to evaluate and improve bulk flux models and determination from the satellite of the input parameters; and coordinated evaluation of the flux products in the context of applications, such as forcing ocean models and evaluation of coupled atmosphere–ocean models. The objective of this paper is to present an overview of the status of global ocean surface flux products, the methodology being used by SEAFLUX, and the prospects for improvement of satellite-derived flux products.
- Published
- 2004
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45. Dissolved oxygen depletion in Chinese coastal waters.
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Zhang W, Pan S, Yu L, Zhang H, Chen F, Song G, Hu J, Wei Q, Zhao H, Chen J, and Zhou F
- Subjects
- China, Ecosystem, Eutrophication, Climate Change, Environmental Monitoring, East Asian People, Oxygen, Seawater chemistry
- Abstract
Estuarine and coastal environments have experienced dissolved oxygen (DO hereafter) depression and hypoxia due to increasingly intensified anthropogenic eutrophication and climate warming. This review compared diverse systems in Chinese coastal waters that experience DO depletion or hypoxia, aiming to identify essential aspects in advancing the abilities in comprehensively understanding DO dynamics across systems that span wide ranges of physical and biogeochemical environments. The coastal DO depression and relevant ecological consequences around the world are generally overviewed. DO depression in specific systems around Chinese coastal waters, ranging from large estuarine-coastal system to small embayment, are selected to synthetically understand the environment, the controlling processes, the evolution of eutrophication level, and the potential environmental changes under warming trend. Stressed ecosystems would be put at higher risks with high confidence due to increased complexity and uncertainty caused by future socioeconomic transformation and climate warming. This review proposes key aspects to advancing the abilities in predicting, managing, and mitigating DO stress for marine ecosystems in Chinese coastal waters, potentially providing a framework to discuss future DO changes in the coastal waters worldwide., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Wenxia Zhang reports financial support was provided by the National Science Foundation of China. Liuqian Yu reports financial support was provided by the National Science Foundation of China. Haiyan Zhang reports financial support was provided by the National Science Foundation of China. Feng Zhou reports was provided by the National Science Foundation of China. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)
- Published
- 2025
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46. Harnessing the Interface of Water Microdroplets to Accelerate Energy Substance Adenosine Triphosphate Formation.
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Wang Y, Ju Y, He J, Zhao J, Zhou Z, Jiang J, and Zhang H
- Abstract
Adenosine triphosphate (ATP) as an energy source plays a key role in providing and regulating energy for life activities in all organisms. Abiotic synthesis of ATP in vitro remains a challenge due to thermodynamic and kinetic constraints in water bulk solution. Here, we report that adenosine diphosphate (ADP) in the presence of potassium phosphate (K
3 PO4 ) spontaneously generates ATP in water microdroplets under ambient conditions and without catalysts. Dependence of conversion rate on microdroplet size and concentration was determined, which indicated phosphorylation of ADP to ATP occurred at or near the surface of the microdroplets. A weakly acidic environment and a certain concentration of metal ions favored the phosphorylation reaction in the microdroplets. Our results suggest that microdroplets with an energetically favorable microenvironment will be an avenue rich in opportunities for abiotic synthesis of biologically active compounds in the prebiotic era and enzyme-free synthesis.- Published
- 2025
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47. Shear Evolution and Slippage of the Liquid-Liquid Interface over a Liquid-Infused Surface: A Many-Body Dissipative Particle Dynamics Study.
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Ren L, Ren J, Bao L, Wen J, Ye M, and Hu H
- Abstract
The liquid-liquid interface (LLI), which is the key to cause flow slippage and thus promote drag reduction of liquid-infused surfaces (LISs), does suffer from the action of flow shear. In the current study, the transverse many-body dissipative dynamics simulation method is applied to explore the shear evolution of LLI and the corresponding slippage over a periodically grooved LIS. Results show that a relatively small shear rate only induces a slight deformation of LLI and the corresponding effective slippage is dependent on the shear rate. With a further increase of the shear rate, LLI deforms apparently and then the downstream three phase contact line depins to move once the balance between the capillary force and the shear force is broken, which results in an apparent increase of the slippage, specifically for a convex LLI. Compared with a convex LLI or a concave LLI, a flat LLI remains relatively stable under the same shear action, and an increase of the viscosity ratio and a decrease of the LLI fraction can both strengthen the shear resistance of an LLI, while they are less effective to promote the slippage. Consequently, the current results not only indicate that the slippage is related to the interface deflection and the shear rate but also suggest that both the shear resistance and the slippage of LLI should be considered when designing an effective LIS.
- Published
- 2025
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48. Ionic Liquid Reinforcing Ether Coordination of Localized High Concentration Electrolyte Enables High-Voltage Lithium Metal Batteries.
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Han Z, Chen L, Zheng G, Zhang D, Yang K, Xiao G, Xu H, Li Y, An X, Ma Y, Guo S, Chen Y, Hou T, Cao Y, Zhang C, He YB, and Liu M
- Abstract
The decomposition of 1,2-dimethoxyethane (DME) in localized high-concentration electrolytes (LHCEs) under high voltage produces fragile and unstable organic fragments at the cathode/electrolyte interphase, which greatly damages the cycling performance of high-energy-density lithium metal batteries. Herein, a robust strategy is proposed by adding ionic liquid of 1-Methyl-1-propyl pyrrolidinium bis(trifluoromethanesulfonyl)imide (Pyr
13 TFSI) as co-solvent into the bulk electrolyte to significantly improve the stability of solvated DME through reinforcing the ion-dipole interaction between TFSI- and DME. The Pyr13 TFSI can balance the interaction among the electrolyte components to reduce the dynamic de-coordinated DME molecules and promote the formation of anion-derived cathode electrolyte interphase with excellent electrochemical stability and high Li+ transport dynamics. The Li||LiNi0.8 Co0.1 Mn0.1 O2 coin cells with Pyr13 TFSI exhibit capacity retention of 76.1% after 1800 cycles at 1 C rate (4.5 V), and 77.1% after 800 cycles at a high cut-off voltage of 4.6 V. Furthermore, the cells using Li anode with the thickness of 50 µm and high LiNi0.8 Co0.1 Mn0.1 O2 loading of 18.68 mg cm-2 can operate for 175 cycles with high-capacity retention of 73.35%. This work demonstrates that modulating the interactions among electrolyte components using ionic liquid can optimize the coordination chemistry for advanced high-energy density Li metal batteries., (© 2025 Wiley‐VCH GmbH.)- Published
- 2025
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49. Shapley value-driven superior subset selection algorithm for carbon price interval forecast combination.
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Yang J, Chen L, and Chen H
- Abstract
Interval prediction requires not only accuracy but also the consideration of interval width and coverage, making model selection complex. However, research rarely addresses this challenge in interval combination forecasting. To address this issue, this study introduces a model selection for interval forecast combination based on the Shapley value (MSIFC-SV). This algorithm calculates Shapley values to measure each model's marginal contribution and establishes a redundancy criterion on the basis of changes in interval scores. If the removal of a model does not decrease the interval score, it is considered redundant and excluded. The selection process starts with all the models and ranks them by their Shapley values. Models are then assessed for retention or removal according to the redundancy criterion, which continues until all redundant models are excluded. The remaining subset is used to generate interval forecast combinations through interval Bayesian weighting. Empirical analysis of carbon price shows that MSIFC-SV outperforms individual models and derived subsets across metrics such as prediction interval coverage probability (PICP), mean prediction interval width (MPIW), coverage width criterion (CWC), and interval score (IS). Comparisons with benchmark methods further demonstrate the superiority of MSIFC-SV. Furthermore, MSIFC-SV is also successfully extended to the public dataset-housing price dataset, this indicates its universality. In summary, MSIFC-SV provides reliable model selection and delivers high-quality interval forecasts., Competing Interests: Declarations. Competing interests: The authors declare no competing interests. Ethical approval: This article does not contain any studies with human participants or animals performed by any of the authors., (© 2025. The Author(s).)
- Published
- 2025
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50. Molecular Engineering of Alginate Lyases and the Potential Agricultural Applications of Their Enzymatic Products.
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Ye Y, Zhang Y, Zhou Y, and Gao Y
- Abstract
Alginate lyases, enzymes that degrade alginate into unsaturated oligosaccharides, have attracted significant attention for their potential applications across various fields, particularly in agriculture. This review focuses on the molecular engineering of alginate lyases to enhance their activity, stability, and specificity as well as the agricultural applications of the resulting enzymatic products, known as alginate oligosaccharides (AOS). We start by summarizing the sources and classification of alginate lyases, followed by recent advances in their engineering through directed evolution, rational design, truncation of noncatalytic domains, and conserved domain reconstruction. We then explore the diverse agricultural applications of AOS, including their ability to promote plant growth, to increase the content of active plant components, to extend fruit shelf life, and to enhance plant resistance to abiotic stresses. Furthermore, the potential value of AOS as feed additives and preservatives in shrimp-based products is also assessed. This review will not only lay a solid theoretical foundation but also serve as a catalyst for the innovative development and practical application of high-value enzymatic preparations and utilization of AOS-related products, providing new solutions for sustainable agriculture and the food industry.
- Published
- 2025
- Full Text
- View/download PDF
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