Simulating property exchange in estuarine ecosystem models at ecologically appropriate scales

Kremer, James N.; Vaudrey, Jamie M.P.; Ullman, David S.; Bergondo, D. L.; LaSota, Nicole; Kincaid, C. R.; Codiga, Daniel L.; Brush, Mark J.

doi:10.1016/j.ecolmodel.2009.12.014

Cited by 20 publications

(14 citation statements)

References 19 publications

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“…Smith and Hollibaugh 1993;Gazeau et al 2005a;Testa and Kemp 2008) or from numerical models (e.g. Kremer et al 2010). This approach can be widely applied to different aquatic ecosystems world-wide over multiple seasons and years, thus allowing a uniform standardized methodology for comparative analysis of diverse ecosystems, and represents a powerful approach for analyzing P n responses to changes in climate and nutrient loading and other perturbations.…”

Section: Open Water Methods: Oxygen Isotopesmentioning

confidence: 99%

The metabolism of aquatic ecosystems: history, applications, and future challenges

et al. 2011

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Measurements of the production and consumption of organic material have been a focus of aquatic science for more than 80 years. Over the last century, a variety of approaches have been developed and employed for measuring rates of gross primary production (P g ), respiration (R), and net ecosystem production (P n = P g -R) within aquatic ecosystems. Here, we reconsider the range of approaches and applications for ecosystem metabolism measurements, and suggest ways by which such studies can continue to contribute to aquatic ecology. This paper reviews past and contemporary studies of aquatic ecosystem-level metabolism to identify their role in understanding and managing aquatic systems. We identify four broad research objectives that have motivated ecosystem metabolism studies: (1) quantifying magnitude and variability of metabolic rates for cross-system comparison, (2) estimating organic matter transfer between adjacent systems or subsystems, (3) measuring ecosystem-scale responses to perturbation, both natural and anthropogenic, and (4) quantifying and calibrating models of biogeochemical processes and trophic networks. The magnitudes of wholesystem gross primary production, respiration and net ecosystem production rates vary among aquatic environments and are partly constrained by the chosen methodology. We argue that measurements of ecosystem metabolism should be a vital component of routine monitoring at larger scales in the aquatic environment using existing flexible, precise, and durable sensor technologies. Current and future aquatic ecosystem studies will benefit from application of new methods for metabolism measurements, which facilitate integration of process measurements and calibration of models for addressing fundamental questions involving ecosystem-scale processes.

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Section: Open Water Methods: Oxygen Isotopesmentioning

confidence: 99%

The metabolism of aquatic ecosystems: history, applications, and future challenges

et al. 2011

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“…Abdelrhman, 2005;Cucco et al, 2009). The ROMS (Regional Oceanic Modelling System (Shchepetkin and McWilliams, 2005)) is a numerical code that has been used successfully in multiple domains and cases (Haidvogel et al, 2008;Ferrer et al, 2009;Grifoll et al, 2009;Kremer et al, 2010;and Warner et al, 2010). ROMS is a free-surface hydrostatic model that solves the three-dimensional Reynolds-Averaged from the Navier-Stokes equations (RANS), in horizontal curvilinear grid and vertical terrain-following coordinates.…”

Section: Numerical Implementation/validation and Scenario Descriptionmentioning

confidence: 99%

Water renewal and risk assessment of water pollution in semi-enclosed domains: Application to Bilbao Harbour (Bay of Biscay)

Grifoll

Campo

Espino

et al. 2013

Journal of Marine Systems

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“…In fact, even the earliest marine ecosystem modeling studies were able to capture seasonal cycles of phytoplankton and zooplankton dynamics (Riley 1946). In many instances, the underlying formulations represent a daily approximation (Kremer et al 2010), and are based on experiments measured on timescales of a few hours. This raises several important considerations: 1) is it realistic to scale measured rates to such short model time-steps (minutes), 2) are model time-steps limited by past measurements and sampling techniques, and 3) what previous model formulations (e.g., phytoplankton growth rates) may incorrectly predict biomass when applied at short time-steps (Ménesguen et al 2007)?…”

Section: Model Limitations and Their Influence On Simulating Ecologmentioning

confidence: 99%

“…Simulating hydrodynamics and ecology simultaneously would have prohibited annual-scale simulations, and the model showed that inclusion of macroalgae produced water quality results more consistent with field data than with phytoplankton alone. Kremer et al (2010) similarly analyzed hydrodynamic model output to develop a daily exchange mixing matrix for simulating ecology in Narragansett Bay. The approach provided a cost- and time-efficient solution that was appropriate when the spatial and temporal scales needed for the ecology simulation was coarser than the scale used for hydrodynamic simulation.…”

Section: Linking Hydrodynamic and Ecological Modelsmentioning

confidence: 99%

Progress and Challenges in Coupled Hydrodynamic-Ecological Estuarine Modeling

Ganju

Brush²,

Rashleigh

et al. 2015

Estuaries and Coasts

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Numerical modeling has emerged over the last several decades as a widely accepted tool for investigations in environmental sciences. In estuarine research, hydrodynamic and ecological models have moved along parallel tracks with regard to complexity, refinement, computational power, and incorporation of uncertainty. Coupled hydrodynamic-ecological models have been used to assess ecosystem processes and interactions, simulate future scenarios, and evaluate remedial actions in response to eutrophication, habitat loss, and freshwater diversion. The need to couple hydrodynamic and ecological models to address research and management questions is clear, because dynamic feedbacks between biotic and physical processes are critical interactions within ecosystems. In this review we present historical and modern perspectives on estuarine hydrodynamic and ecological modeling, consider model limitations, and address aspects of model linkage, skill assessment, and complexity. We discuss the balance between spatial and temporal resolution and present examples using different spatiotemporal scales. Finally, we recommend future lines of inquiry, approaches to balance complexity and uncertainty, and model transparency and utility. It is idealistic to think we can pursue a “theory of everything” for estuarine models, but recent advances suggest that models for both scientific investigations and management applications will continue to improve in terms of realism, precision, and accuracy.

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Simulating property exchange in estuarine ecosystem models at ecologically appropriate scales

Cited by 20 publications

References 19 publications

The metabolism of aquatic ecosystems: history, applications, and future challenges

The metabolism of aquatic ecosystems: history, applications, and future challenges

Water renewal and risk assessment of water pollution in semi-enclosed domains: Application to Bilbao Harbour (Bay of Biscay)

Progress and Challenges in Coupled Hydrodynamic-Ecological Estuarine Modeling

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