Monitoring Bloom Dynamics of a Common Coastal Bioluminescent Ctenophore

The long-term objective is to develop predictive models of bioluminescence potential in the coastal zone environment. OBJECTIVES: In the coastal zone, watershed run-off and discharge of submarine ground-water can profoundly impact growth conditions of bioluminescent plankton on very short space and...

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Bibliographic Details
Main Author: Widder, Edith A.
Other Authors: OCEAN RESEARCH AND CONSERVATION ASSOCIATION FORT PIERCE FL
Format: Text
Language:English
Published: 2010
Subjects:
Biochemistry
Fluid Mechanics
Thermodynamics
*BIOLUMINESCENCE
*BLOOMING
*MONITORING
*COASTAL REGIONS
ZOOPLANKTON
CARNIVORA
RUNOFF
GROUND WATER
DYNAMICS
PREDICTIONS
WATERSHEDS
*CTENOPHORE
MESOZOOPLANKTON
Sullivan
Orca
Online Access:http://www.dtic.mil/docs/citations/ADA541772
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA541772
Description
Summary:The long-term objective is to develop predictive models of bioluminescence potential in the coastal zone environment. OBJECTIVES: In the coastal zone, watershed run-off and discharge of submarine ground-water can profoundly impact growth conditions of bioluminescent plankton on very short space and time scales. Bioluminescent blooms include dinoflagellate red tides, which are occurring more frequently, lasting longer and extending further off shore due to excessive nutrient loading from land-based run-off. Bioluminescent blooms of the carnivorous ctenophore Mnemiopsis leidyi that may be either seasonal or event driven can also develop on remarkably short time scales (Kremer, 1994) and also appear to be on the increase (Sullivan et al., 2001). The Ocean Research and Conservation Association's (ORCA) objective is to improve understanding of the conditions leading to bioluminescent blooms in coastal waters such that forecasting is possible. Achieving this requires more frequent, automated sampling of greater spatial density, a reduction in dependence upon hand sampling, and automating all aspects of the data collection and analysis processes.

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