Brush Mark J.

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Brush
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Mark J.
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  • Article
    Progress and challenges in coupled hydrodynamic-ecological estuarine modeling
    (Springer, 2015-07-07) Ganju, Neil K. ; Brush, Mark J. ; Rashleigh, Brenda ; Aretxabaleta, Alfredo L. ; del Barrio, Pilar ; Grear, Jason S. ; Harris, Lora A. ; Lake, Samuel J. ; McCardell, Grant ; O’Donnell, James ; Ralston, David K. ; Signell, Richard P. ; Testa, Jeremy M. ; Vaudrey, Jamie M. P.
    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.
  • Dataset
    Distance-weighted data flow averages interpolated over 24-hours for the York River estuary in 2018 and 2019
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2022-03-11) Anderson, Iris C. ; Brush, Mark J. ; Reece, Kimberly ; Song, Bongkeun
    Dataflow data collected seasonally during dawn, dusk, and 2nd dawn cruises down the York River estuary. Data distance-weighted for each of 5 boxes, and interpolated over 24-hours. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/809808
  • Dataset
    Benthic flux data from sediment cores collected in the York River Estuary, VA in 2020
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2021-08-30) Anderson, Iris C. ; Brush, Mark J. ; Reece, Kimberly ; Song, Bongkeun
    Sediment cores were collected bimonthly and before/after summer intensive phytoplankton blooms in the York River Estuary. Flux parameters were measured during dark/light core incubations under in situ conditions. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/854297
  • Dataset
    Water column data collected during Dataflow cruises in the lower York River Estuary, VA during and following two successive harmful algal blooms
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2021-08-30) Anderson, Iris C. ; Brush, Mark J. ; Reece, Kimberly ; Song, Bongkeun
    This dataset includes grab sample and continuous data collected during Dataflow cruises in the lower York River Estuary, VA during and following two successive harmful algal blooms in 2020. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/854194
  • Preprint
    Quantifying the effects of commercial clam aquaculture on C and N cycling : an integrated ecosystem approach
    ( 2016-05) Murphy, Anna E. ; Emery, Kyle A. ; Anderson, Iris C. ; Pace, Michael L. ; Brush, Mark J. ; Rheuban, Jennie E.
    Increased interest in using bivalve cultivation to mitigate eutrophication requires a comprehensive understanding of the net carbon (C) and nitrogen (N) budgets associated with cultivation on an ecosystem scale. This study quantified C and N processes related to clam (Mercenaria mercenaria) aquaculture in a shallow coastal environment (Cherrystone Inlet, VA) where the industry has rapidly increased. Clam physiological rates were compared with basin-wide ecosystem fluxes including primary production, benthic nutrient regeneration, and respiration. Although clam beds occupy only 3% of the ecosystem’s surface area, clams filtered 7-44% of the system’s volume daily, consumed an annual average of 103% of the phytoplankton production, creating a large flux of particulate C and N to the sediments. Annually, N regenerated and C respired by clam and microbial metabolism in clam beds were ~3-fold and ~1.5-fold higher, respectively, than N and C removed through harvest. Due to the short water residence time, the low watershed load, and the close vicinity of clam beds to the mouth of Cherrystone Inlet, cultivated clams are likely subsidized by phytoplankton from the Chesapeake Bay. Consequently, much of the N released by mineralization associated with clam cultivation is ‘new’ N as it would not be present in the system without bivalve facilitation. Macroalgae that are fueled by the enhanced N regeneration from clams represents a eutrophying process resulting from aquaculture. This synthesis demonstrates the importance of considering impacts of bivalve aquaculture in an ecosystem context especially relative to the potential of bivalves to remove nutrients and enhance C sinks.
  • Dataset
    Measurements of nutrient flux and denitrification in clam aquaculture sediments.
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2021-05-26) Song, Bongkeun ; Brush, Mark J. ; Piehler, Michael F. ; Tobias, Craig
    Measurements of nutrient flux and denitrification in clam aquaculture sediments. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/700800
  • Dataset
    Distance-weighted data flow averages for the York River estuary in 2018 and 2019
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2022-03-11) Anderson, Iris C. ; Brush, Mark J. ; Reece, Kimberly ; Song, Bongkeun
    Distance-weighted data flow averages for the York River estuary in 2018 and 2019 For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/810274
  • Dataset
    Sediment NO3 reduction rates, associated genes, and environmental data from bimonthly samples collected along the York River Estuary from June 2018 to April 2019
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2021-08-30) Anderson, Iris C. ; Brush, Mark J. ; Reece, Kimberly ; Song, Bongkeun
    Sediment cores were collected from bimonthly samples taken along the York River Estuary from June 2018 to April 2019. Potential rates of NO3 reduction processes, environmental data, and associated gene abundances were measured. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/854433