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Full-Text Articles in Marine Biology
A Deterministic Model For Understanding Nonlinear Viral Dynamics In Oysters, Qubin Qin, Jian Shen, Kimberly S. Reece
A Deterministic Model For Understanding Nonlinear Viral Dynamics In Oysters, Qubin Qin, Jian Shen, Kimberly S. Reece
VIMS Articles
Contamination of oysters with a variety of viruses is one key pathway to trigger outbreaks of massive oyster mortality as well as human illnesses, including gastroenteritis and hepatitis. Much effort has gone into examining the fate of viruses in contaminated oysters, yet the current state of knowledge of nonlinear virus-oyster interactions is not comprehensive because most studies have focused on a limited number of processes under a narrow range of experimental conditions. A framework is needed for describing the complex nonlinear virus-oyster interactions. Here, we introduce a mathematical model that includes key processes for viral dynamics in oysters, such as …
Ecosystem Metabolism Modeling Of Estuaries In Maine: Using Dissolved Oxygen As A Tool For Aquaculture Site Assessment, Katherine Miller
Ecosystem Metabolism Modeling Of Estuaries In Maine: Using Dissolved Oxygen As A Tool For Aquaculture Site Assessment, Katherine Miller
Honors College
The net primary productivity (NPP), also known as the net ecosystem metabolism, of an estuary is a value indicative of the growth and activity of an estuary’s primary producers, relative to the metabolic activity of its consumers. When NPP is high, estuaries exhibit autotrophic conditions that have the capacity to support fruitful bivalve aquaculture. For oyster farmers, the ability to monitor an estuary’s NPP would allow them to predict and prepare for seasonal changes to oyster growth that result from changes to their phytoplankton food source and access to dissolved oxygen (DO). Not only would this aid farmers on site …
Multiscale Habitat Suitability Modeling For Canary Rockfish (Sebastes Pinniger) Along The Northern California Coast, Portia N. Saucedo
Multiscale Habitat Suitability Modeling For Canary Rockfish (Sebastes Pinniger) Along The Northern California Coast, Portia N. Saucedo
Cal Poly Humboldt theses and projects
Detailed spatially-explicit data of the potential habitat of commercially important rockfish species are a critical component for the purposes of marine conservation, evaluation, and planning. Predictive habitat modeling techniques are widely used to identify suitable habitat in un-surveyed regions. This study elucidates the predicted distribution of canary rockfish (Sebastes pinniger) along the largely un-surveyed northern California coast using data from visual underwater surveys and predictive terrain complexity covariates. I used Maximum Entropy (MaxEnt) modelling software to identify regions of suitable habitat for S. pinniger greater than nine cm in total length at two spatial scales. The results of …
Systematic Ichthyofaunal Surveys In Urban And Non-Urban Watersheds, Eugene G. Maurakis, David V. Grimes, Amanda Schutt, Suzy Short
Systematic Ichthyofaunal Surveys In Urban And Non-Urban Watersheds, Eugene G. Maurakis, David V. Grimes, Amanda Schutt, Suzy Short
Virginia Journal of Science
Objectives were to model fish species richness relative to natural and anthropogenic variables in Quantico Creek, a forested undisturbed stream environment, and Cameron Run, a highly disturbed urban stream environment in the lower Piedmont-Fall Line region of the Potomac River watershed. Species richness in all stream orders (e.g. avg. range=2.5-9.65 in 1st-3rd orders) of Quantico Creek were significantly higher than those (e.g. avg. range=2.1- 7.6 in 1st -4th orders) of Cameron Run. Fish species richness in Quantico Creek watershed can be modeled by eight factors: season, stream order, elevation, river km, stream width and depth, watershed size, and percent of …
Understanding The Success And Failure Of Oyster Populations: The Importance Of Sampled Variables And Sample Timing, Thomas M. Soniat, Eric N. Powell, Eileen E. Hofmann, John M. Klinck
Understanding The Success And Failure Of Oyster Populations: The Importance Of Sampled Variables And Sample Timing, Thomas M. Soniat, Eric N. Powell, Eileen E. Hofmann, John M. Klinck
CCPO Publications
One of the primary obstacles to understanding why some oyster populations are successful and others are not is the complex interaction of environmental variables with oyster physiology and with such population variables as the rates of recruitment and juvenile mortality. A numerical model is useful in investigating how population structure originates out of this complexity. We have monitored a suite of environmental conditions over an environmental gradient to document the importance of short time-scale variations in such variables as food supply, turbidity, and salinity. Then, using a coupled oyster disease population dynamics model, we examine the need for short rime-scale …