An integrated modeling approach for elucidating the effects of different management strategies on Chesapeake Bay oyster metapopulation dynamics

Kjelland, Michael E.; Piercy, Candice D.; Lackey, Tahirih C.; Swannack, Todd M.

doi:10.1016/j.ecolmodel.2015.03.012

Cited by 22 publications

(10 citation statements)

References 64 publications

(97 reference statements)

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“…Several numerical studies of oyster reefs on macro-and meso-scale have focused mostly on larval dispersal patterns distribution (e.g., Kjelland et al, 2015;Arnold et al, 2017;Dye et al, 2021) while the influence of the rough surfaces on the surrounding hydrodynamics have not been subject of investigation. Here, the structural classification provided and the respective topographical roughness parameters can be used as input parameters for future investigations addressing the impact on the hydrodynamic and sediment transport similar to investigations by van Leeuwen et al (2010) on mussel beds or by Ashall et al (2016) on salt marshes.…”

Section: Interactions Between Oyster Reef and Hydrodynamicsmentioning

confidence: 99%

Oyster Reef Surfaces in the Central Wadden Sea: Intra-Reef Classification and Comprehensive Statistical Description

et al. 2022

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The Pacific oyster (Magallana gigas) is an invasive species in the Wadden Sea transforming parts of it permanently. M. gigas, as an ecosystem engineer, builds reef structures that are characterized by highly complex and variable surfaces consisting of densely packed, sharp-edged individuals connected with cement-like bonds. To investigate the interactions between reef structure, shape and formation and wave as well as tidal currents, an understanding of the surface roughness is essential. This work reports on observations of oyster reefs for which seven new structural classes (Central Reef, Transitional Zone, Cluster I, Cluster II, Patch I, Patch II, and Garland) are proposed. For each class, high resolution Digital Elevation Models (DEMs) have been elaborated based on Structure-from-Motion (SfM) photogrammetry and analyzed using spatial statistics. By determining probability density functions (PDFs), vertical porosity distributions, abundances, orientations and second-order structure functions (SSFs), topographical parameters that influence the hydraulic bed roughness have been determined. The results suggest, that by applying the structural classification and their distinct topographical roughness parameters, the oyster reef surfaces can be described appropriately accounting for their complexity. The roughness accounts to a total roughness height kt = 103 ± 15 mm and root-mean-square roughness height krms = 23 ± 5 mm. These values were found similar across all structural classes, yet the shape of the PDFs reveal differences. With decreasing abundance, the distributions become more positively skewed and are characterized by more extreme outliers. This is reflected in the higher statistical moments, as the skewness ranges between Sk = 0.4–2.1 and the kurtosis between Ku = 2.2–11.5. The analysis of the orientations and the SSFs confirms anisotropic behavior across all structural classes. Further, the SSFs reveal the oyster shells as significant roughness elements with exception of Cluster I and II, where the clusters are identified as significant roughness elements. The provided set of topographical roughness parameters enhances the knowledge of oyster reef surfaces and gives insights into the interactions between biogenic structure and surrounding hydrodynamics. The new intra-reef classification allows for more accurate determination of the overall roughness as well as the population dynamics of the habitat forming oyster. Combined with hydraulic measurements, the results can be used to estimate the hydraulic bed roughness induced by the oyster reef surfaces.

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Section: Interactions Between Oyster Reef and Hydrodynamicsmentioning

confidence: 99%

Oyster Reef Surfaces in the Central Wadden Sea: Intra-Reef Classification and Comprehensive Statistical Description

et al. 2022

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“…Mortality was assessed in a separate analysis based on known larval response to environmental conditions such as salinity and DO. The model and mortality analysis were based on models developed by North et al (2008), Kim et al (2010), and Kjelland et al (2015).…”

Section: Model Development Processmentioning

confidence: 99%

“…The juvenile and adult mortality analysis consisted of comparing larval trajectories with the location of adverse salinity and DO conditions for each particle release based on larval tolerances (from Kjelland et al 2015 andKennedy et al 2009). For each scenario, salinity from CH3D-MB and DO from ICM were summarized-monthly statistics were calculated for mean, standard deviation, minimum, maximum, and the following percentiles 1, 5, 10, 25, 50, 75, 90, 95, and 99.…”

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confidence: 99%

Evaluation of the potential impacts of the proposed Mobile Harbor navigation channel expansion on the aquatic resources of Mobile Bay, Alabama

Berkowitz¹,

Altman²,

Reine³

et al. 2020

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This report assesses potential impacts to aquatic resources resulting from proposed navigation channel expansion activities within Mobile Bay, Alabama. This work was conducted for the U.S. Army Corps of Engineers (USACE) Mobile District, to support development of a supplemental Environmental Impact Statement. Changes in water quality and hydrodynamics were evaluated for potential impacts to benthic macroinvertebrates, wetlands, submerged aquatic vegetation, oysters, and fish. The assessment includes extensive characterization of baseline conditions, evaluation of estimated post-project conditions related to aquatic resource habitat (e.g., changes in salinity, dissolved oxygen). An analysis of potential impacts related to a 0.5-m sea level rise (SLR) scenario were also evaluated. Results suggest that no substantial impacts in aquatic resources within the study area are anticipated due to project implementation, as the area of greatest potential changes to environmental conditions are already adapted to natural shifts in salinity (and other factors), and to conditions resulting from the existing navigation channel. Although SLR has the potential to alter aquatic resource habitats with Mobile Bay, additional impacts related to project implementation remain negligible under the 0.5-m SLR scenario. DISCLAIMER: The contents of this report are not to be used for advertising, publication, or promotional purposes. Citation of trade names does not constitute an official endorsement or approval of the use of such commercial products. All product names and trademarks cited are the property of their respective owners. The findings of this report are not to be construed as an official Department of the Army position unless so designated by other authorized documents.

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“…The use of age/stage-based population decision-support models is extensive (Peterson and Evans 2003, Muths and Dreitz 2008, Horne et al 2011, Moore et al 2012, Kjelland et al 2015, Smith et al 2015, Duarte et al 2016a, Lunn et al 2016; and many more). Despite this, logistical constraints (i.e., limited time, funding, personnel, etc.)…”

Section: Introductionmentioning

confidence: 99%

A new parameterization for integrated population models to document amphibian reintroductions

Duarte

Pearl

Adams

et al. 2017

Ecological Applications

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Managers are increasingly implementing reintroduction programs as part of a global effort to alleviate amphibian declines. Given uncertainty in factors affecting populations and a need to make recurring decisions to achieve objectives, adaptive management is a useful component of these efforts. A major impediment to the estimation of demographic rates often used to parameterize and refine decision-support models is that life-stage-specific monitoring data are frequently sparse for amphibians. We developed a new parameterization for integrated population models to match the ecology of amphibians and capitalize on relatively inexpensive monitoring data to document amphibian reintroductions. We evaluate the capability of this model by fitting it to Oregon spotted frog (Rana pretiosa) monitoring data collected from 2007 to 2014 following their reintroduction within the Klamath Basin, Oregon, USA. The number of egg masses encountered and the estimated adult and metamorph abundances generally increased following reintroduction. We found that survival probability from egg to metamorph ranged from 0.01 in 2008 to 0.09 in 2009 and was not related to minimum spring temperatures, metamorph survival probability ranged from 0.13 in 2010-2011 to 0.86 in 2012-2013 and was positively related to mean monthly temperatures (logit-scale slope = 2.37), adult survival probability was lower for founders (0.40) than individuals recruited after reintroduction (0.56), and the mean number of egg masses per adult female was 0.74. Our study is the first to test hypotheses concerning Oregon spotted frog egg-to-metamorph and metamorph-to-adult transition probabilities in the wild and document their response at multiple life stages following reintroduction. Furthermore, we provide an example to illustrate how the structure of our integrated population model serves as a useful foundation for amphibian decision-support models within adaptive management programs. The integration of multiple, but related, data sets has an advantage of being able to estimate complex ecological relationships across multiple life stages, offering a modeling framework that accommodates uncertainty, enforces parsimony, and ensures all model parameters can be confronted with monitoring data.

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An integrated modeling approach for elucidating the effects of different management strategies on Chesapeake Bay oyster metapopulation dynamics

Cited by 22 publications

References 64 publications

Oyster Reef Surfaces in the Central Wadden Sea: Intra-Reef Classification and Comprehensive Statistical Description

Oyster Reef Surfaces in the Central Wadden Sea: Intra-Reef Classification and Comprehensive Statistical Description

Evaluation of the potential impacts of the proposed Mobile Harbor navigation channel expansion on the aquatic resources of Mobile Bay, Alabama

A new parameterization for integrated population models to document amphibian reintroductions

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