32 research outputs found
Evidence That Ultraviolet Radiation May Depress Short-Term Photosynthetic Rates of Intertidal Ulva lactuca and Consumption by a Generalist Feeder (Clibanarius vittatus)
This article considers the impact of ultraviolet radiation (UVR) on the photosynthesis and consumption of intertidal Ulva lactuca, an important producer and food resource in many coastal ecosystems. Algal fragments were exposed in the laboratory to either UVR and PAR (photosynthetically active radiation) simultaneously or PAR alone. The rates of photosynthesis and consumption by a generalist feeder, the stripped hermit crab (Clibanarius vittatus), were then compared between the two treatments. In both experiments, the biological weighted values for UVR in the laboratory indicate that the experimental set-up provided a level of UVR exposure that would occur in the field. The results show that UVR exposure depresses the photosynthetic rates of U. lactuca at light intensities between 1118 and 2206 ÎŒmol m-2 s-1. UVR also reduced the grazing intensity of C. vittatus on U. lactuca with non-UVR-exposed algal pieces supporting about five times more consumption than exposed pieces. The relevance and implications of this study, however, are limited because the results have been obtained with short-term, simple experiments. Studies encompassing a longer time scale and the community of consumers (e.g. exposing both the algae and main consumers simultaneously to experimental UVR levels) are needed to elucidate whether the algae can offset UVR-deleterious effects through the induction of protective compounds and how these compounds and UVR exposure affects the activity of consumers
Prospects For Gulf of Mexico Environmental Recovery and Restoration
Previous oil spills provide clear evidence that ecosystem restoration efforts are challenging, and recovery can take decades. Similar to the Ixtoc 1 well blowout in 1979, the Deepwater Horizon (DWH) oil spill was enormous both in volume of oil spilled and duration, resulting in environmental impacts from the deep ocean to the Gulf of Mexico coastline. Data collected during the National Resource Damage Assessment showed significant damage to coastal areas (especially marshes), marine organisms, and deep-sea habitat. Previous spills have shown that disparate regions recover at different rates, with especially long-term effects in salt marshes and deepsea habitat. Environmental recovery and restoration in the northern Gulf of Mexico are dependent upon fundamental knowledge of ecosystem processes in the region. PostDWH research data provide a starting point for better understanding baselines and ecosystem processes. It is imperative to use the best science available to fully understand DWH environmental impacts and determine the appropriate means to ameliorate those impacts through restoration. Filling data gaps will be necessary to make better restoration decisions, and establishing new baselines will require long-term studies. Future research, especially via NOAAâs RESTORE Science Program and the state-based Centers of Excellence, should provide a path to understanding the potential for restoration and recovery of this vital marine ecosystem
Plasmons polaritons de surface
La plasmonique est lâĂ©tude de lâinteraction entre les Ă©lectrons libres dâun mĂ©tal et la lumiĂšre. Les plasmons polaritons de surface sont des modes plasmoniques localisĂ©s au niveau dâune interface entre un mĂ©tal et un diĂ©lectrique. Ces ondes Ă©vanescentes, qui peuvent ĂȘtre obtenues expĂ©rimentalement par diffĂ©rentes approches, ont des propriĂ©tĂ©s de confinement du champ Ă©lectrique qui trouvent de nombreuses applications dans le domaine des capteurs et de la spectroscopie
Supplement 1. Data set and list of references compiled.
<h2>File List</h2><blockquote>
<p><a href="DataSet.txt">DataSet.txt</a>
<br>
</p>
<p><a href="ReferenceList.txt">ReferenceList.txt</a>
</p>
</blockquote><h2>Description</h2><p>Notes relevant to the data set compiled:</p>
<p>1. Columns correspond to:</p>
<blockquote>
<p>1<sup>st</sup> column: Reference</p>
<p>2<sup>nd</sup> column:Â Community
type</p>
<p>3<sup>rd</sup> column: Ecosystem
type</p>
<p>4<sup>th</sup> column: Net primary
production (NPP); in gC m<sup>-2</sup> yr<sup>-1</sup></p>
<p>5<sup>th</sup> column: Leaf production
(leaf P); in gC m<sup>-2</sup> yr<sup>-1</sup></p>
<p>6<sup>th</sup> column: Detrital
production (DP); in gC m<sup>-2</sup> yr<sup>-1</sup></p>
<p>7<sup>th</sup> column: Leaf detrital
production (leaf DP); in gC m<sup>-2</sup> yr<sup>-1</sup></p>
<p>8<sup>th</sup> column: Decomposition
(D); in gC m<sup>-2</sup> yr<sup>-1</sup></p>
<p>9<sup>th</sup> column: Biomass
of detritus consumers (DB); in gC m<sup>-2</sup></p>
<p>10<sup>th</sup> column: Consumption
by herbivores (H); in gC m<sup>-2</sup> yr<sup>-1</sup></p>
<p>11<sup>th</sup> column: Percentage
of production consumed by herbivores (%NPP consumed) </p>
<p>12<sup>th</sup> column: Herbivore
biomass (HB); in gC m<sup>-2</sup></p>
<p>13<sup>th</sup> column: Total
consumption by first-order consumers (TC); in gC m<sup>-2</sup> yr<sup>-1</sup></p>
<p>14<sup>th</sup> column: Carbon
accumulation (CA); in gC m<sup>-2</sup> yr<sup>-1</sup></p>
<p>15<sup>th</sup> column: Nitrogen
concentration in producer biomass (Nbiomass); in % of dry weight </p>
<p>16<sup>th</sup> column: Phosphorus
concentration in producer biomass (Pbiomass); in % of dry weight</p>
<p>17<sup>th</sup> column: Decomposition
rate (k); in day<sup>-1</sup></p>
<p>18<sup>th</sup> column: Nitrogen
concentration in producer detritus (Ndetritus); in % of dry weight</p>
<p>19<sup>th</sup> column: Phosphorus
concentration in producer detritus (Pdetritus); in % of dry weight</p>
<p>20<sup>th</sup> column: Producer
nitrogen concentration used in the regressions vs. Detrital Production and
Decomposition (Ndp); in % of dry weight- see note 5</p>
<p>21<sup>st</sup> column: Producer
phosphorus concentration used in the regressions vs. Detrital Production and
Decomposition (Pdp); in % of dry weight- see note 5Â Â </p>
</blockquote>
<p>2. Cells with a dot and no numbers
denote variables not provided in the reports.</p>
<p>3. Entries marked with # contain
our indirect estimates of net primary production, and entries marked with @
our indirect estimates of decomposition, with the highest uncertainty, which
still seems unimportant for the results obtained (see text).</p>
<p>Â 4. Reports of communities dominated
by rooted macrophytes (i.e., freshwater macrophyte meadows, seagrass meadows
and terrestrial communities) having an asterisk (*) include both the above-
(leaves and stems) and belowground (roots) compartments. Reports with two asterisks
(**) only include the belowground compartment, and reports with no asterisk
refer to the aboveground compartment.</p>
<p>5. We did not find many reports
with concomitant values of detrital production and nutrient concentrations in
producer detritus, or values of decomposition and nutrient concentrations in
producer detritus. Therefore, to test the independence between detrital production
and producer nutritional quality (Fig. 8), and between decomposition and producer
nutritional quality (Fig. 10), we used values of nutrient concentration in producer
biomass or detritus indistinctly (columns 20th and 21st). The results should
be similar to those obtained if we had only used concentrations in producer
detritus, because, for a given type of ecosystem, nutrient concentrations do
not differ between producer biomass and detritus (see Figs. 1b,c and 6c,d).</p>
<p>6. In the reports marked with ¶,
decomposition rates refer to leaves. Hence, in those reports values of leaf
detrital production have been used for the relationship between decomposition
rates and detrital production (Fig. 11b). Values of total detrital production
(both above- and belowground if marked with one asterisk, or only aboveground
if marked with no asterisk) have been used for all the other relationships and
Figs. (except for Megonigal and Day [1988], see note 8).</p>
<p>7. In the reports marked with $,
decomposition rates referring to different compartments (e.g., leaves and stems;
above- and belowground) have been weighted and averaged into a single value
for the relationship between decomposition rates and detrital production (Fig.
11b). Similarly, in the same reports values of nutrient concentration in producer
detritus referring to different compartments have been weighted and averaged
into a single value for the relationships between producer nutrient concentration
and detrital production (Fig. 8)Â and producer nutrient concentration and decomposition
(Fig. 10). Thus, to avoid redundancies, those mean values have been ignored
in the histograms (Figs. 6c,d, and e) and relationship between decomposition
rates and detritus nutrient concentrations (Fig. 9).</p>
<p>8. In the terrestrial reference
Megonigal and Day (1988), values of producer nutrient concentrations refer to
leaves. Hence, in this report values of leaf detrital production have also
been used in the relationship between detrital production and producer nutrient
concentrations (Fig. 8).</p>
<p>9. In the terrestrial reference
McNaughton (1985), values of net primary production in parentheses include both
the above- and belowground compartments, whereas those with no parentheses refer
to the aboveground compartment only. The aboveground values have been used
in this paper.</p
Insights into Photopolymerization at the Nanoscale Using Surface Plasmon Resonance Imaging
Near-field photopolymerization (NFPP) driven by surface plasmon resonance has attracted increasing attention in nanofabrication. This interest comes from the nanometer-scale control of polymer thickness, due to the confinement of the evanescent wave within a highly restricted volume at the surface. In this study, a novel approach using a multi-spectral surface plasmon resonance instrument is presented that gives access to real-time images of polymer growth during NFPP with nanometer sensitivity. Using the plasmonic evanescent wave for both polymerization and real-time sensing, the influence of irradiance, concentration of dye, and initiator are investigated on the threshold energy and kinetics of NFPP. How oxygen inhibition in the near field strongly affects photopolymerization is highlighted, more than in the far field
A Novel Conservative Lagrangian Immersed Boundary Method For Wind Turbine Simulations
International audienceThis work presents a novel conservative Lagrangian immersed boundary method (CLIB) to solve incompressible viscous fluid flow problems around solid geometries. Classical immersed boundary methods (IBM) are known to face mass and momentum conservation issues at the frontier between solid and fluid. This original method couples the penalty IBM with a Lagrangian volume of solid (VOS) formulation introducing some extra source terms in the governing equations. These terms serve to represent the existence of a solid body inside the fluid domain and give rise to a fully conservative system of equations. Solid mass conservation is guaranteed thanks to a Lagrangian representation of the solid volume fraction field and is proven effectively independent of the grid resolution. The accuracy of the present method is demonstrated by the good agreement of aerodynamic quantities for two-dimensional flows around stationary and mobile (rotating, oscillating) rigid solid bodies with the values found in literature
Intégration d'un critÚre de fluidité en génération de trajectoires 5 axes par flanc d'outil
International audienceLa rĂ©alisation des piĂšces en usinage sur le flanc s'avĂšre d'une trĂšs grande rentabilitĂ© par rapport Ă l'usinage en bout par balayage des formes complexes. C'est pourquoi les industriels se tournent de plus en plus vers ce procĂ©dĂ© pour gagner des parts de marchĂ© mĂȘme si les surfaces considĂ©rĂ©es ne sont pas dĂ©veloppables ni mĂȘme rĂ©glĂ©es. Aussi cet article prĂ©sente l'application d'une approche qui permet de produire une trajectoire d'usinage minimisant les Ă©carts gĂ©omĂ©triques par rapport Ă la surface nominale mais aussi les oscillations. Cette approche se base sur un modĂšle surfacique de la trajectoire d'usinage qui montre tout son intĂ©rĂȘt pour assurer une trajectoire fluide et continue en courbure. AprĂšs avoir effectuĂ© un Ă©tat de l'art des diffĂ©rentes mĂ©thodes de positionnement d'un outil sur le flanc, nous prĂ©sentons notre approche et un exemple d'application sur lequel un logiciel de FAO a Ă©chouĂ©. Les deux approches sont comparĂ©es en termes d'Ă©carts gĂ©omĂ©triques et de fluiditĂ© de la trajectoire. Enfin des pistes de progrĂšs permises par l'approche surfacique sont proposĂ©es
Evaluation of load estimation approaches for different immersed boundary methods
International audienceRenewable energy production units, such as wind turbines, involve geometrically complex bodies (rigid or flexible) in contact with fluids. State of the art computations in wind energy are based on Large-Eddy simulations (LES) coupled with actuator line methods (ALM). This framework requires the geometry and the airfoil aerodynamic coefficients of the turbineâs blades to model the influence of the structure to the fluid. Although valid in a wide range of configurations, its specific assumptions render it irrelevant in some cases like with yaw misalignment. Therefore we propose the use of another numerical tool, namely the immersed boundary methods (IBM). These methods allow to avoid body-fitted meshes by representing the geometry of the immersed body in the mesh via âsolid nodesâ with imposed velocity. Due to the lack of body conforming nodes, the computation of forces acting on the body is not trivial.This work aims to compare two force computation approaches for IB methods. The first one is based on the pressure integral over a locally reconstructed fictive body surface (local approach). The second one is based on the formulation of Noca et al. [1], where, thanks to the velocity and vorticity fields in a finite region enclosing the body, we are able to compute the instantaneous forces acting on it (global approach). These methods will be evaluated for two types of penalization IB methods for unstructured grids: i) a sharp-interface IBM where the penalization terms are located in a narrow band around the solid/gas interface, ii) a smoothed-interface IBM where the added forces are regularized in the vicinity of the interface. [2]. Both methods will be examined and validated against resolved body-fitted simulations of well-documented academic cases with stationary and moving bodies. Mesh-dependancy of the methods will also be investigated. The simulations will be performed by the low Mach-number massively-parallel finite-volume unstructured LES flow solver YALES2 [3, 4]
The impact of salinity fluctuations on net oxygen production and inorganic nitrogen uptake by Ulva lactuca (Chlorophyceae). Aquatic Botany,75:
Abstract In this study, we investigate the impact of rapid fluctuations in salinity on short-term net oxygen production and ammonium (NH 4 + ) and nitrate (NO 3 â ) uptake by Ulva lactuca collected within the Mobile Bay estuary (AL). The salinity regime at the study site was highly variable, remaining mostly between 20 and 30 psu with changes over 3 psu occurring rapidly and frequently. Periodic water sampling revealed a significant inverse relationship between NO 3 â concentration and salinity, but not between NH 4 + concentration and salinity. Experimental changes in salinity modelled on those observed at the study site resulted in a decline in net oxygen production, while NH 4 + and NO 3 â uptake rates remained similar. These results suggest that U. lactuca maintains the ability to take up NH 4 + and NO 3 â under conditions of rapidly changing salinity within the salinity range tested and over the short-term scale examined in this study