scholarly journals Particle Selection in Suspension-Feeding Bivalves

1981 ◽  
Vol 5 ◽  
pp. 291-296 ◽  
Author(s):  
T Kiørboe ◽  
F Møhlenberg
Keyword(s):  
Suspension Feeding ◽  
Particle Selection

Particle Selection in Suspension-Feeding Bivalves: Does One Model Fit All?

2020 ◽  
Vol 238 (1) ◽  
pp. 41-53 ◽  
Author(s):  
Julie Jones ◽  
Bassem Allam ◽  
Emmanuelle Pales Espinosa
Keyword(s):  
Model Fit ◽  
Suspension Feeding ◽  
Particle Selection

Contemporary issues in watershed and water quality modeling for eutrophication control

1998 ◽  
Vol 37 (3) ◽  
pp. 93-102
Author(s):  
Robert V. Thomann ◽  
Lewis C. Linker
Keyword(s):  
Coastal Waters ◽  
Water Quality Modeling ◽  
Significant Decline ◽  
Suspension Feeding ◽  
Watershed Model ◽  
Nitrogen And Phosphorus ◽  
Overlying Water ◽  
Chesapeake Bay Watershed ◽  
Eutrophication Control ◽  
Quality Modeling

Three issues are discussed: controllability of nonpoint nutrient loadings using watershed models; the sometimes counter intuitive results from eutrophication models from nutrient controls for coastal waters; and the potential significant interaction of improvement in habitat for suspension feeding bivalves. For the Chesapeake Bay watershed model, and for Limit of Technology (LOT) controls, a 16% and 45% reduction in nitrogen and phosphorus, respectively, is calculated. For the Bay, it is concluded that removal of phosphorus only is less effective than nitrogen in improving bottom water DO because of differential transport of nitrogen downstream. For the Delaware estuary, a significant decline in phytoplankton chlorophyll has been observed in the absence of any nutrient controls but in the presence of improved DO. A simple model is offered that hypothesized an increase in benthic bivalve filtration of overlying water as a result of improvement in DO.

Capture of conspecific planktonic larvae by the suspension-feeding gastropod Crepipatella peruviana: association between adult and larval size

2021 ◽  
Vol 87 (1) ◽  
Author(s):  
G A Rivera-Figueroa ◽  
J A Büchner-Miranda ◽  
L P Salas-Yanquin ◽  
J A Montory ◽  
V M Cubillos ◽  
...  
Keyword(s):  
Laboratory Experiments ◽  
Larval Mortality ◽  
Feeding Preference ◽  
The Other ◽  
Suspension Feeding ◽  
Adult Size ◽  
Free Living ◽  
Larval Size ◽  
Suspension Feeders ◽  
Planktonic Larvae

ABSTRACT Free-living, planktonic larvae can be vulnerable to capture and ingestion by adult suspension-feeders. This is particularly the case for larvae that settle gregariously in benthic environments where suspension-feeders occur at high densities. Larvae of gregarious suspension-feeding species are at particularly high risk, as adults of their own species often serve as cues for metamorphosis. We conducted laboratory experiments to assess the extent to which adults of the suspension-feeding caenogastropod Crepipatella peruviana would capture and ingest their own larvae. Experiments were conducted with adults of different sizes, with larvae of different ages and sizes, and in the presence or absence of phytoplankton. Adults captured larvae in all experiments. The presence of microalgae in the water did not influence the extent of larval capture. On average, 39% of larvae were captured during the 3-h feeding periods, regardless of adult size. However, up to 34% of the larvae that were captured on the gill were later discarded as pseudofaeces; the other 64% were ingested. The extent of capture by adults was not related to adult size, or to larval size and, thus, to larval age. Our results suggest that the filtration of congeneric larvae by adult C. peruviana is a result of accidental capture rather than a deliberate feeding preference. Such ingestion could, however, still be an important source of larval mortality, especially when the advanced larvae of this species are searching for a suitable substrate for metamorphosis.

Microfluidic optical sorting: particle selection in an optical lattice

2004 ◽  
Author(s):  
Michael P. MacDonald ◽  
Steven Neale ◽  
Lynn Paterson ◽  
Andrew Riches ◽  
Gabriel C. Spalding ◽  
...  
Keyword(s):  
Optical Lattice ◽  
Particle Selection ◽  
Optical Sorting
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