scholarly journals A compositional analysis approach to phytoplankton composition in coastal Mediterranean wetlands: Influence of salinity and nutrient availability

2014 ◽  
Vol 136 ◽  
pp. 72-81 ◽  
Author(s):  
Rocío López-Flores ◽  
Xavier D. Quintana ◽  
Anna M. Romaní ◽  
Lluís Bañeras ◽  
Olaya Ruiz-Rueda ◽  
...  
Keyword(s):  
Nutrient Availability ◽  
Compositional Analysis ◽  
Analysis Approach ◽  
Phytoplankton Composition ◽  
Mediterranean Wetlands

scholarly journals Magnifier: A Compositional Analysis Approach for Autonomous Traffic Control

2021 ◽  
pp. 1-1
Author(s):  
Maryam Bagheri ◽  
Marjan Sirjani ◽  
Ehsan Khamespanah ◽  
Christel Baier ◽  
Ali Movaghar
Keyword(s):  
Traffic Control ◽  
Compositional Analysis ◽  
Analysis Approach

scholarly journals Large-scale shifts in phytoplankton groups in the Equatorial Pacific during ENSO cycles

2011 ◽  
Vol 8 (3) ◽  
pp. 539-550 ◽  
Author(s):  
I. Masotti ◽  
C. Moulin ◽  
S. Alvain ◽  
L. Bopp ◽  
A. Tagliabue ◽  
...  
Keyword(s):  
Nutrient Availability ◽  
El Niño ◽  
Large Scale ◽  
El Nino ◽  
Ocean Color ◽  
Equatorial Pacific ◽  
La Niña ◽  
Phytoplankton Composition ◽  
La Nina ◽  
Marine Productivity

Abstract. The El Niño Southern Oscillation (ENSO) drives important changes in the marine productivity of the Equatorial Pacific, in particular during major El Niño/La Niña transitions. Changes in environmental conditions associated with these climatic events also likely impact phytoplankton composition. In this work, the distribution of four major phytoplankton groups (nanoeucaryotes, Prochlorococcus, Synechococcus, and diatoms) was examined between 1996 and 2007 by applying the PHYSAT algorithm to the ocean color data archive from the Ocean Color and Temperature Sensor (OCTS) and Sea-viewing Wide Field-of-view Sensor (SeaWiFS). Coincident with the decrease in chlorophyll concentrations, a large-scale shift in the phytoplankton composition of the Equatorial Pacific, that was characterized by a decrease in Synechococcus and an increase in nanoeucaryote dominance, was observed during the early stages of both the strong El Niño of 1997 and the moderate El Niño of 2006. A significant increase in diatoms dominance was observed in the Equatorial Pacific during the 1998 La Niña and was associated with elevated marine productivity. An analysis of the environmental variables using a coupled physical-biogeochemical model (NEMO-PISCES) suggests that the Synechococcus dominance decrease during the two El Niño events was associated with an abrupt decline in nutrient availability (−0.9 to −2.5 μM NO3 month−1). Alternatively, increased nutrient availability (3 μM NO3 month−1) during the 1998 La Niña resulted in Equatorial Pacific dominance diatom increase. Despite these phytoplankton community shifts, the mean composition is restored after a few months, which suggests resilience in community structure.

scholarly journals Large-scale shifts in phytoplankton groups in the Equatorial Pacific during ENSO cycles

2010 ◽  
Vol 7 (2) ◽  
pp. 2523-2548 ◽  
Author(s):  
I. Masotti ◽  
C. Moulin ◽  
S. Alvain ◽  
L. Bopp ◽  
A. Tagliabue ◽  
...  
Keyword(s):  
Nutrient Availability ◽  
El Niño ◽  
Large Scale ◽  
El Nino ◽  
Ocean Color ◽  
Equatorial Pacific ◽  
La Niña ◽  
Phytoplankton Composition ◽  
La Nina ◽  
Marine Productivity

Abstract. The El Niño Southern Oscillation (ENSO) drives important changes in the marine productivity of the Equatorial Pacific, in particular during major El Niño/La Niña transitions. Changes in environmental conditions associated with these climatic events also likely impact phytoplankton composition. In this work, the distribution of four major phytoplankton groups (nanoeucaryotes, Prochlorococcus, Synechococcus, and diatoms) was examined between 1996 and 2007 by applying the PHYSAT algorithm to the ocean color data archive from the Ocean Color and Temperature Sensor (OCTS) and Sea-viewing Wide Field-of-view Sensor (SeaWiFS). Coincident with the decrease in chlorophyll concentrations, a large-scale shift in the phytoplankton composition of the Equatorial Pacific, that was characterized by a decrease in Synechococcus and an increase in nanoeucaryotes dominance, was observed during the early stages of both the strong El Niño of 1997 and the moderate El Niño of 2006. A significant increase in diatoms dominance was observed in the Equatorial Pacific during the 1998 La Niña and was associated with elevated marine productivity. An analysis of the environmental variables using a coupled physical-biogeochemical model (NEMO-PISCES) suggests that the Synechococcus dominance decrease during the two El Niño events was associated with an abrupt decline in nutrient availability (−0.9 to −2.5 μM NO3 month−1). Alternatively, increased nutrient availability (3 μM NO3 month−1) during the 1998 La Niña resulted in Equatorial Pacific dominance diatom increase. Despite these phytoplankton community shifts, the mean composition is restored after a few months, which suggests resilience in community structure. Such rapid changes to the composition of phytoplankton groups should be considered in future modeling approaches to represent variability of the marine productivity in the Equatorial Pacific and to quantify its potential implications on food-web and on global carbon cycle.

Assessing phytoplankton composition and structure within micro-estuaries and micro-outlets: a community analysis approach

Hydrobiologia ◽  
2018 ◽  
Vol 818 (1) ◽  
pp. 177-191 ◽  
Author(s):  
Tatenda Dalu ◽  
Mandla L. Magoro ◽  
Jonathan D. Tonkin ◽  
Lucienne R. D. Human ◽  
Renzo Perissinotto ◽  
...  
Keyword(s):  
Community Analysis ◽  
Analysis Approach ◽  
Phytoplankton Composition ◽  
Composition And Structure

Compositional Analysis of III-V Interface Lattice Images

1980 ◽  
Vol 38 ◽  
pp. 318-319
Author(s):  
A. Olsen ◽  
J.C.H. Spence ◽  
P. Petroff
Keyword(s):  
Crystal Structure ◽  
Image Matching ◽  
Compositional Analysis ◽  
Depth Of Field ◽  
Limit Set ◽  
High Contrast ◽  
Resolution Limit ◽  
Fourier Image ◽  
Lattice Images ◽  
True Structure

Since the point resolution of the JEOL 200CX electron microscope is up = 2.6Å it is not possible to obtain a true structure image of any of the III-V or elemental semiconductors with this machine. Since the information resolution limit set by electronic instability (1) u0 = (2/πλΔ)½ = 1.4Å for Δ = 50Å, it is however possible to obtain, by choice of focus and thickness, clear lattice images both resembling (see figure 2(b)), and not resembling, the true crystal structure (see (2) for an example of a Fourier image which is structurally incorrect). The crucial difficulty in using the information between Up and u0 is the fractional accuracy with which Af and Cs must be determined, and these accuracies Δff/4Δf = (2λu2Δf)-1 and ΔCS/CS = (λ3u4Cs)-1 (for a π/4 phase change, Δff the Fourier image period) are strongly dependent on spatial frequency u. Note that ΔCs(up)/Cs ≈ 10%, independent of CS and λ. Note also that the number n of identical high contrast spurious Fourier images within the depth of field Δz = (αu)-1 (α beam divergence) decreases with increasing high voltage, since n = 2Δz/Δff = θ/α = λu/α (θ the scattering angle). Thus image matching becomes easier in semiconductors at higher voltage because there are fewer high contrast identical images in any focal series.

High Spatial Resolution Compositional Analysis at Interfaces

1980 ◽  
Vol 38 ◽  
pp. 356-359
Author(s):  
John B. Vander Sande ◽  
Thomas F. Kelly ◽  
Douglas Imeson
Keyword(s):  
Electron Microscope ◽  
High Spatial Resolution ◽  
Compositional Analysis ◽  
Scanning Transmission Electron Microscope ◽  
Thin Specimen ◽  
X Ray ◽  
Volume Of Interest ◽  
Transmission Electron ◽  
Scanning Transmission ◽  
Electron Energy Loss

In the scanning transmission electron microscope (STEM) a fine probe of electrons is scanned across the thin specimen, or the probe is stationarily placed on a volume of interest, and various products of the electron-specimen interaction are then collected and used for image formation or microanalysis. The microanalysis modes usually employed in STEM include, but are not restricted to, energy dispersive X-ray analysis, electron energy loss spectroscopy, and microdiffraction.

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