Eastern oyster aquaculture : estuarine remediation via site suitability and spatially explicit carrying capacity modeling in Virginia’s Chesapeake Bay

Scientific summary Estuarine eutrophication, the systemic limitation of dissolved oxygen in a body of water, has been increasingly monitored and scrutinized as an environmental concern needing acute and long term remediation efforts. The driving factors of eutrophication are largely attributed to anthropogenic sources within the watershed, sources that are products of modern civilization. Estuarine eutrophication poses significant threats to aquatic ecosystems at micro and macro scales, as well as to coastal economies. This paper addresses bivalve mollusk aquaculture as a managed remediation mechanism for reducing eutrophication through modeling and analysis within the Geographic Information Systems (GIS) paradigm. In realistic application of such mechanisms, spatial delineation of appropriate areas for implementation and potential impacts on eutrophic states must be efficiently predicted; GIS is the ideal platform to bridge data and analyses of interest in this light. Aquaculture site suitability is determined by integrating spatial data in the GIS framework to yield discrete areas of suitable and unsuitable areas. Eutrophic state impacts are determined by juxtaposing suitable areas at their present eutrophic condition against modeled shifts in eutrophic states due to intervention by bivalve aquaculture. In this case, bivalve aquaculture production carrying capacity is used as the benchmark to model effects in eutrophic conditions. This methodology is applied to Eastern Oyster aquaculture in the Chesapeake Bay of Virginia, USA. The Chesapeake Bay is an exemplary case for this theme as it is the country’s largest estuary and has gained notoriety for its eutrophic state. Intensive oyster aquaculture is a burgeoning industry with historical significance to the region as well as presenting an economically viable method for estuarine eutrophication remediation. Oyster aquaculture site suitability, eutrophic conditions, spatially explicit aquaculture carrying capacity, and potential eutrophic state changes are modeled and analyzed in this thesis through the means of GIS.

[1]  J. Grant,et al.  A spatially explicit ecosystem model of seston depletion in dense mussel culture , 2008 .

[2]  J. Grant,et al.  Macrofaunal Spatial Patterns in Relationship to Environmental Variables in the Richibucto Estuary, New Brunswick, Canada , 2008 .

[3]  A. Newton,et al.  Analysis of coastal and offshore aquaculture: Application of the FARM model to multiple systems and shellfish species , 2009 .

[4]  S. Shumway Shellfish aquaculture and the environment. , 2011 .

[5]  L. Merritt Water Quality: An Introduction , 1977 .

[6]  D. Fredriksson,et al.  Biological and hydrodynamic design considerations for vertically oriented oyster grow out structures , 2010 .

[7]  E. Hofmann,et al.  Modeling oyster populations. V. Declining phytoplankton stocks and the population dynamics of American oyster (Crassostrea virginica) populations , 1995 .

[8]  R. Mann,et al.  Effects of Hypoxia and Anoxia on Larval Settlement, Juvenile Growth, and Juvenile Survival of the Oyster Crassostrea virginica. , 1992, The Biological bulletin.

[9]  M. Gibbs Implementation barriers to establishing a sustainable coastal aquaculture sector , 2009 .

[10]  C. Carver,et al.  Estimating the carrying capacity of a coastal inlet for mussel culture , 1990 .

[11]  S. Shumway,et al.  Bivalve Filter Feeding: Variability and Limits of the Aquaculture Biofilter , 2011 .

[12]  William Silvert,et al.  Review of recent carrying capacity models for bivalve culture and recommendations for research and management , 2006 .

[13]  Monitoring total suspended solids by using nephelometry , 1984 .

[14]  R. Filgueira,et al.  Title : A physical-biogeochemical coupling scheme for modelling marine coastal ecosystems , 2011 .

[15]  L. Eklundh,et al.  Spatial Influence of Topographical Factors on Yield of Potato (Solanum tuberosum L.) in Central Sweden , 2005, Precision Agriculture.

[16]  Hongqing Wang,et al.  Modeling oyster growth rate by coupling oyster population and hydrodynamic models for Apalachicola Bay, Florida, USA , 2008 .