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Klinck, John M.; Hofmann, Eileen E.; Powell, Eric N.; Dekshenieks, Margaret M.

doi:10.1023/a:1020954502355

Cited by 25 publications

(1 citation statement)

References 17 publications

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“…Several modeling approaches have been utilized to inform oyster population dynamics, restoration and fishery management strategies, each with specific goals and approaches. Mechanistic, physiologically-based models were among the first to be employed to address issues regarding effects of environmental conditions and biotic processes such as food availability (Hofmann et al, 1992(Hofmann et al, , 1994Powell et al, 1992;Dekshenieks et al, 1993) and later to the effects of disease and environmental factors (Powell et al, 1995(Powell et al, , 2011Dekshenieks et al, 1996;Klinck et al, 2002;Hofmann et al, 2004;Lavaud et al, 2017). Similar models were subsequently used to address management strategies and dynamics of shell budgets on harvested oyster reefs (Powell et al, 2006(Powell et al, , 2012(Powell et al, , 2018Powell and Klinck, 2007;Wilberg et al, 2013;Soniat et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Modeling Oyster Reef Restoration: Larval Supply and Reef Geometry Jointly Determine Population Resilience and Performance

et al. 2021

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Restoration of native oyster (Crassostrea virginica) populations in Chesapeake Bay shows great promise after three decades of failed attempts. Population models used to inform oyster restoration had integrated reef habitat quality, demonstrating that reef height determines oyster population persistence and resilience. Larval recruitment drives population dynamics of marine species, yet its impact with reef height and sediment deposition upon reef restoration is unknown. To assess the influence of reef height, sediment deposition and larval supply, we adapted a single-stage population model to incorporate stage structure using a system of four differential equations modeling change in juvenile density (J), and changes in volume of adults (A), oyster shell reef (R), and sediment (S) on an oyster reef. The JARS model was parameterized with empirical data from field experiments. Larval supply included larvae from the natal population and from outside populations. The stage-structured model possessed multiple non-negative equilibria (i.e., alternative stable states). Different initial conditions (e.g., oyster shell reef height) resulted in different final states. The main novel findings were that the critical reef height for population persistence and resilience was jointly dependent on sediment input and larval supply. A critical minimum larval supply was necessary for a reef to persist, even when initial sediment deposition was zero. As larval supply increased, the initial reef height needed for reef persistence was lowered, and oyster reef resilience was enhanced. A restoration oyster reef with higher larval influx could recover from more severe disturbances than a reef with lower larval influx. To prevent local extinction and assure a positive population state, higher levels of larval supply were required at greater sediment concentrations to overcome the negative effects of sediment accumulation on the reef. In addition, reef persistence was negatively related to sediment deposited on a reef prior to larval settlement and recruitment, implying that restoration reefs should be constructed immediately before settlement and recruitment to minimize sediment accumulation on a reef before settlement. These findings are valuable in oyster reef restoration because they can guide reef construction relative to larval supply and sediment deposition on a reef to yield effective and cost-efficient restoration strategies.

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Section: Introductionmentioning

confidence: 99%

Modeling Oyster Reef Restoration: Larval Supply and Reef Geometry Jointly Determine Population Resilience and Performance

et al. 2021

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The Application of Dynamic Modeling to Prediction of Production Carrying Capacity in Shellfish Farming

Grant

Filgueira

2011

Shellfish Aquaculture and the Environment

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Influence of Water Allocation and Freshwater Inflow on Oyster Production: A Hydrodynamic-Oyster Population Model for Galveston Bay, Texas, USA

Powell

Klinck

Hofmann

et al. 2003

Environmental Management

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A hydrodynamic-oyster population model was developed to assess the effect of changes in freshwater inflow on oyster populations in Galveston Bay, Texas, USA. The population model includes the effects of environmental conditions, predators, and the oyster parasite, Perkinsus marinus, on oyster populations. The hydrodynamic model includes the effects of wind stress, river runoff, tides, and oceanic exchange on the circulation of the bay. Simulations were run for low, mean, and high freshwater inflow conditions under the present (1993) hydrology and predicted hydrologies for 2024 and 2049 that include both changes in total freshwater inflow and diversions of freshwater from one primary drainage basin to another. Freshwater diversion to supply the Houston metropolitan area is predicted to negatively impact oyster production in Galveston Bay. Fecundity and larval survivorship both decline. Mortality from Perkinsus marinus increases, but to a lesser extent. A larger negative impact in 2049 relative to 2024 originates from the larger drop in fecundity under that hydrology. Changes in recruitment and mortality, resulting in lowered oyster abundance, occur because the bay volume available for mixing freshwater input from the San Jacinto and Buffalo Bayou drainage basins that drain metropolitan Houston is small in comparison to the volume of Trinity Bay that presently receives the bulk of the bay's freshwater inflow. A smaller volume for mixing results in salinities that decline more rapidly and to a greater extent under conditions of high freshwater discharge.Thus, the decline in oyster abundance results from a disequilibrium between geography and salinity brought about by freshwater diversion. Although the bay hydrology shifts, available hard substrate does not. The simulations stress the fact that it is not just the well-appreciated reduction in freshwater inflow that can result in decreased oyster production. Changing the location of freshwater inflow can also significantly impact the bay environment, even if the total amount of freshwater inflow does not change.

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Untitled

Cited by 25 publications

References 17 publications

Modeling Oyster Reef Restoration: Larval Supply and Reef Geometry Jointly Determine Population Resilience and Performance

Modeling Oyster Reef Restoration: Larval Supply and Reef Geometry Jointly Determine Population Resilience and Performance

The Application of Dynamic Modeling to Prediction of Production Carrying Capacity in Shellfish Farming

Influence of Water Allocation and Freshwater Inflow on Oyster Production: A Hydrodynamic-Oyster Population Model for Galveston Bay, Texas, USA

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