Haddock Steven H. D.

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Haddock
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Steven H. D.
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  • Article
    Questioning the rise of gelatinous zooplankton in the world's oceans
    (American Institute of Biological Sciences, 2012-02) Condon, Robert H. ; Graham, William M. ; Duarte, Carlos M. ; Pitt, Kylie A. ; Lucas, Cathy H. ; Haddock, Steven H. D. ; Sutherland, Kelly R. ; Robinson, Kelly L. ; Dawson, Michael N. ; Decker, Mary Beth ; Mills, Claudia E. ; Purcell, Jennifer E. ; Malej, Alenka ; Mianzan, Hermes ; Uye, Shin-Ichi ; Gelcich, Stefan ; Madin, Laurence P.
    During the past several decades, high numbers of gelatinous Zooplankton species have been reported in many estuarine and coastal ecosystems. Coupled with media-driven public perception, a paradigm has evolved in which the global ocean ecosystems are thought to he heading toward being dominated by “nuisance” jellyfish. We question this current paradigm by presenting a broad overview of gelatinous Zooplankton in a historical context to develop the hypothesis that population changes reflect the human-mediated alteration of global ocean ecosystems. To this end, we synthesize information related to the evolutionary context of contemporary gelatinous Zooplankton blooms, the human frame of reference for changes in gelatinous Zooplankton populations, and whether sufficient data are available to have established the paradigm. We conclude that the current paradigm in which it is believed that there has been a global increase in gelatinous Zooplankton is unsubstantiated, and we develop a strategy for addressing the critical questions about long-term, human-related changes in the sea as they relate to gelatinous Zooplankton blooms.
  • Article
    Bioluminescence intensity modeling and sampling strategy optimization
    (American Meteorological Society, 2005-08) Shulman, Igor ; Kindle, J. C. ; McGillicuddy, Dennis J. ; Moline, Mark A. ; Haddock, Steven H. D. ; Nechaev, D. A. ; Phelps, Michael W.
    The focus of this paper is on the development of methodology for short-term (1–3 days) oceanic bioluminescence (BL) predictions and the optimization of spatial and temporal bioluminescence sampling strategies. The approach is based on predictions of bioluminescence with an advection–diffusion–reaction (tracer) model with velocities and diffusivities from a circulation model. In previous research, it was shown that short-term changes in some of the salient features in coastal bioluminescence can be explained and predicted by using this approach. At the same time, it was demonstrated that optimization of bioluminescence sampling prior to the forecast is critical for successful short-term BL predictions with the tracer model. In the present paper, the adjoint to the tracer model is used to study the sensitivity of the modeled bioluminescence distributions to the sampling strategies for BL. The locations and times of bioluminescence sampling prior to the forecast are determined by using the adjoint-based sensitivity maps. The approach is tested with bioluminescence observations collected during August 2000 and 2003 in the Monterey Bay, California, area. During August 2000, BL surveys were collected during a strong wind relaxation event, while in August 2003, BL surveys were conducted during an extended (longer than a week) upwelling-favorable event. The numerical bioluminescence predictability experiments demonstrated a close agreement between observed and model-predicted short-term spatial and temporal changes of the coastal bioluminescence.
  • Dataset
    Ctenophore observations from ROV Doc Ricketts dives during the R/V Western Flyer DEEPC cruises offshore of California, 2016-2020 (DEEPC project)
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2021-01-12) Haddock, Steven H. D.
    Ctenophore observations from ROV Doc Ricketts and Ventana dives that were conducted during the R/V Western Flyer MBARI DEEPC cruises that took place 2016 to 2020. The data include the species or lowest classification possible along with the date, time, depth, and temperature where the organism was observed. The timestamp on the recorded tape is also provided when available. 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/685287
  • Dataset
    CTD profile data from ROV Doc Ricketts dives during R/V Western Flyer DEEPC cruises off the California coast from 2016 to 2019
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2021-01-13) Haddock, Steven H. D.
    CTD data from ROV Doc Ricketts dives that were conducted during the R/V Western Flyer MBARI DEEPC Cruise that took place from 2016 to 2019. The data include samples taken by the ROV on the way down and up. 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/685216
  • Dataset
    CTD data for the SiphWeb project from two ROVs during the R/V Western Flyer MBARI DEEPC cruises in 2019-2021
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2021-11-30) Haddock, Steven H. D. ; Choy, C. Anela ; Dunn, Casey W.
    This dataset includes CTD data collected y ROV Doc Ricketts and ROV Ventana during deployments that were conducted from the MBARI ship R/V Western Flyer, in 2019-2021. 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/834158
  • Dataset
    CTD data for SiphWeb project from ROV's during the R/V Western Flyer MBARI DEEPC cruises, 2019 and 2020
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2021-01-11) Haddock, Steven H. D. ; Choy, C. Anela ; Dunn, Casey W.
    CTD data for SiphWeb project from ROV's during the R/V Western Flyer MBARI DEEPC cruises, 2019 and 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/834158
  • Dataset
    JeDI: Jellyfish Database Initiative
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2015-03-09) Condon, Robert H. ; Lucas, Cathy H. ; Duarte, Carlos M. ; Pitt, Kylie A. ; Haddock, Steven H. D. ; Madin, Laurence P. ; Brodeur, Richard D. ; Sutherland, Kelly R. ; Mianzan, Hermes W. ; Purcell, Jennifer E. ; Decker, Mary Beth ; Uye, Shin-Ichi ; Malej, Alenka ; Bogeberg, Molly ; Everett, John T. ; Gibbons, Mark ; Gonzalez, H. ; Hay, S. ; Hensche, N. ; Hobson, R. J. ; Kingsford, Michael J. ; Kremer, P. ; Lehtiniemi, Maiju ; Ohman, Mark ; Rissik, D. ; Sheard, K. ; Suthers, Iain ; Coleman, N. ; Costello, John H. ; Gershwin, L. A. ; Graham, William M. ; Robinson, Kelly L. ; Richardson, T. M. ; Giesecke, R. ; Gorsky, Gabriel ; Greve, Wulf ; Halsband-Lenk, C. ; Hays, Graeme ; Hobson, V. ; Klein, David ; Lebrato, Mario ; Loveridge, Jan ; Martens, P. ; Milos, C. ; Perry, G. ; Stemmann, Lars ; Sullivan, Barbara ; Walker, T. ; Schildhauer, Mark ; Regetz, J.
    The Jellyfish Database Initiative (JeDI) is a scientifically-coordinated global database dedicated to gelatinous zooplankton (members of the Cnidaria, Ctenophora and Thaliacea) and associated environmental data. The database holds 476,000 quantitative, categorical, presence-absence and presence only records of gelatinous zooplankton spanning the past four centuries (1790-2011) assembled from a variety of published and unpublished sources. Gelatinous zooplankton data are reported to species level, where identified, but taxonomic information on phylum, family and order are reported for all records. Other auxiliary metadata, such as physical, environmental and biometric information relating to the gelatinous zooplankton metadata, are included with each respective entry. JeDI has been developed and designed as an open access research tool for the scientific community to quantitatively define the global baseline of gelatinous zooplankton populations and to describe long-term and large-scale trends in gelatinous zooplankton populations and blooms. It has also been constructed as a future repository of datasets, thus allowing retrospective analyses of the baseline and trends in global gelatinous zooplankton populations to be conducted in the future.
  • Dataset
    Siphonophore specimens collected for the SiphWeb project from two ROVs during the R/V Western Flyer MBARI DEEPC cruises in 2019-2021
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2021-11-30) Haddock, Steven H. D. ; Choy, C. Anela ; Dunn, Casey W.
    This dataset includes information about siphonophore specimens collected by ROV Doc Ricketts and ROV Ventana during deployments that were conducted from the MBARI ship R/V Western Flyer, in 2019-2021. The data include the species or lowest classification possible along with the date, time, depth, and temperature where the organism was observed. 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/834100
  • Dataset
    Siphonophore specimens collected for the SiphWeb project from two ROVs during the R/V Western Flyer MBARI DEEPC cruises in 2019-2022
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2022-10-05) Haddock, Steven H. D. ; Choy, C. Anela ; Dunn, Casey W.
    This dataset includes information about siphonophore specimens collected by ROV Doc Ricketts and ROV Ventana during deployments that were conducted from the MBARI ship R/V Western Flyer, in 2019-2022. The data include the species or lowest classification possible along with the date, time, depth, and temperature where the organism was observed. 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/834100
  • Dataset
    Siphonophore specimens collected for SiphWeb project from ROV's during the R/V Western Flyer MBARI DEEPC cruises, 2019 and 2020
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2021-01-11) Haddock, Steven H. D. ; Choy, C. Anela ; Dunn, Casey W.
    Siphonophore specimens collected by ROV Doc Ricketts dives that were conducted during the MBARI ship R/V Western Flyer, late 2019 to early 2020. The data include the species or lowest classification possible along with the date, time, depth, and temperature where the organism was observed. 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/834100