Nathan D. Rebuck

Integral Consulting (United States)

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Co-Authors

David W. Townsend

University of Maine

Jonathan A. Hare

NOAA National Marine Fisheries Service

Kevin D. Friedland

NOAA National Marine Fisheries Service

Vincent S. Saba

NOAA Geophysical Fluid Dynamics Laboratory

Maura A. Thomas

University of Maine

Christopher W Hunt

University of New Hampshire

R. Christopher Chambers

NOAA National Marine Fisheries Service Northeast Fisheries Science Center

Jason S. Grear

Environmental Protection Agency

Rachel Gettings

GE Global Research (United States)

Rebecca G. Asch

East Carolina University

Cooperative Institutions

Oceanography Society

National Oceanic and Atmospheric Administration

NOAA National Marine Fisheries Service

NOAA National Marine Fisheries Service Northeast Fisheries Science Center

University of Maine

Woods Hole Oceanographic Institution

Scripps Institution of Oceanography

University of California, San Diego

University of Rhode Island

Princeton University

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Nutrients and water masses in the Gulf of Maine–Georges Bank region: Variability and importance to blooms of the toxic dinoflagellate Alexandrium fundyense

Deep Sea Research Part II Topical Studies in Oceanography (2013)

David W. Townsend Dennis J. McGillicuddy Maura A. Thomas Nathan D. Rebuck

Dinoflagellate

Bloom

10.1016/j.dsr2.2013.08.003

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Citations (37)

Nutrient Distributions in the Gulf of Maine: An Analysis of Spatial and Temporal Patterns of Dissolved Inorganic Nitrate and Silicate

Nathan D. Rebuck

Inorganic ions

Source

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Citations (5)

Spring bloom dynamics and zooplankton biomass response on the US Northeast Continental Shelf

Continental Shelf Research (2015)

Kevin D. Friedland Robert T. Leaf Joe Kane Désirée Tommasi Rebecca G. Asch

Bloom

Spring bloom

Grazing pressure

10.1016/j.csr.2015.04.005

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Citations (48)

Towards Standardized Integration of Seafloor Mapping Tools for Offshore Benthic Characterization

Craig Jones Daniel Doolittle Eugene C. Revelas Nathan D. Rebuck

Abstract Offshore energy development requires a thorough understanding of the seafloor and benthic environments to inform the potential risks to infrastructure and assess the potential environmental impacts of the project. In this paper, we present a novel method for generating quantitative benthic maps using integrated seafloor SPI-PV imagery and MBES data. We use a predictive processing framework that extracts physical and biological metrics from the SPI-PV images and combines them with MBES bathymetry and backscatter data. The framework is demonstrated at a permitted energy site off the Pacific Coast of the United States. The resulting maps provide valuable information for environmental assessments, geohazard assessments, and monitoring of offshore sites. The method can help evaluate site suitability, monitor environmental changes, and enhance the safety and efficiency of offshore operations. The method also reduces risks and costs associated with offshore energy production by enabling rapid and consistent seafloor surveys.

Seafloor Spreading

Characterization

10.4043/35388-ms

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Citations (0)

A changing nutrient regime in the Gulf of Maine

Continental Shelf Research (2010)

David W. Townsend Nathan D. Rebuck Maura A. Thomas Lee Karp‐Boss Rachel Gettings

10.1016/j.csr.2010.01.019

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Citations (95)

Ocean and Coastal Acidification off New England and Nova Scotia

Oceanography (2015)

D. K. Gledhill Meredith M. White Joe Salisbury Helmuth Thomas Ivy Misna

Author Posting. © The Oceanography Society, 2015. This article is posted here by permission of The Oceanography Society for personal use, not for redistribution. The definitive version was published in Oceanography 28, no. 2 (2015): 182-197, doi:10.5670/oceanog.2015.41.

Nova scotia

Redistribution

Permission

Ocean Acidification

Nova (rocket)

10.5670/oceanog.2015.41

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Citations (99)

Physical associations to spring phytoplankton biomass interannual variability in the U.S. Northeast Continental Shelf

Journal of Geophysical Research Biogeosciences (2015)

Vincent S. Saba Kimberly J.W. Hyde Nathan D. Rebuck Kevin D. Friedland Jonathan A. Hare

Abstract The continental shelf of the Northeast United States and Nova Scotia is a productive marine ecosystem that supports a robust biomass of living marine resources. Understanding marine ecosystem sensitivity to changes in the physical environment can start with the first‐order response of phytoplankton (i.e., chlorophyll a ), the base of the marine food web. However, the primary physical associations to the interannual variability of chlorophyll a in these waters are unclear. Here we used ocean color satellite measurements and identified the local and remote physical associations to interannual variability of spring surface chlorophyll a from 1998 to 2013. The highest interannual variability of chlorophyll a occurred in March and April on the northern flank of Georges Bank, the western Gulf of Maine, and Nantucket Shoals. Complex interactions between winter wind speed over the Shelf, local winter water levels, and the relative proportions of Atlantic versus Labrador Sea source waters entering the Gulf of Maine from the previous summer/fall were associated with the variability of March/April chlorophyll a in Georges Bank and the Gulf of Maine. Sea surface temperature and sea surface salinity were not robust correlates to spring chlorophyll a . Surface nitrate in the winter was not a robust correlate to chlorophyll a or the physical variables in every case suggesting that nitrate limitation may not be the primary constraint on the interannual variability of the spring bloom throughout all regions. Generalized linear models suggest that we can resolve 88% of March chlorophyll a interannual variability in Georges Bank using lagged physical data.

Spring bloom

Marine ecosystem

10.1002/2014jg002770

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Citations (41)

A climatology and time series for dissolved nitrate in the Gulf of Maine region

Deep Sea Research Part II Topical Studies in Oceanography (2013)

Nathan D. Rebuck David W. Townsend

Drawdown (hydrology)

Interpolation

10.1016/j.dsr2.2013.09.006

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