Rogers Lauren

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Rogers
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Lauren
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  • Dataset
    Total catches and estimated revenue by species for communities-at-sea based on landings reported on Vessel Trip Reports
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2019-05-22) Rogers, Lauren ; Griffin, Robert ; Young, Talia ; Fuller, Emma ; St. Martin, Kevin ; Pinsky, Malin
    Total catches and estimated revenue by species for communities-at-sea based on landings reported on Vessel Trip Reports (VTRs). Landings data were compiled from VTRs and summed over the available years of data for each community. 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/765560
  • Article
    Avoiding pitfalls in interdisciplinary education
    (Inter-Research, 2017-12-27) Holt, Rebecca E. ; Woods, Pamela J. ; Ferreira, Ana S. A. ; Bardarson, Hlynur ; Bonanomi, Sara ; Boonstra, Wijnand J. ; Butler, William E. ; Diekert, Florian K. ; Fouzai, Nadia ; Holma, Maija ; Kokkalis, Alexandros ; Kvile, Kristina Øie ; Macdonald, Jed I. ; Malanski, Evandro ; Nieminen, Emmi ; Ottosen, Katharina M. ; Pedersen, Martin W. ; Richter, Andries ; Rogers, Lauren ; Romagnoni, Giovanni ; Snickars, Martin ; Törnroos, Anna ; Weigel, Benjamin ; Whittington, Jason D. ; Yletyinen, Johanna
    As the world’s social-environmental problems increasingly extend across boundaries, both disciplinary and political, there is a growing need for interdisciplinarity, not only in research per se, but also in doctoral education. We present the common pitfalls of interdisciplinary research in doctoral education, illustrating approaches towards solutions using the Nordic Centre for Research on Marine Ecosystems and Resources under Climate Change (NorMER) research network as a case study. We provide insights and detailed examples of how to overcome some of the challenges of conducting interdisciplinary research within doctoral studies that can be applied within any doctoral/postdoctoral education programme, and beyond. Results from a self-evaluation survey indicate that early-career workshops, annual meetings and research visits to other institutions were the most effective learning mechanisms, whereas single discipline-focused courses and coursework were among the least effective learning mechanisms. By identifying the strengths and weaknesses of components of NorMER, this case study can inform the design of future programmes to enhance interdisciplinarity in doctoral education, as well as be applied to science collaboration and academic research in general.
  • Dataset
    Attributes of communities-at-sea, including the size of servicesheds and climate change risk exposure scores, determined from Vessel Trip Report (VTR) data for commercial fishing trips from 1996 to 2014
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2019-05-22) Rogers, Lauren ; Griffin, Robert ; Young, Talia ; Fuller, Emma ; St. Martin, Kevin ; Pinsky, Malin
    Communities-at-sea are peer-groups of vessels which share a gear type and are associated with a particular port (e.g., vessels from New Bedford, MA that use gillnets). For vessels using trawl gear, small and large trawlers are considered separate communities according to vessel length (<> 65 feet). We used Vessel Trip Report (VTR) data for commercial fishing trips from 1996 to 2014, as reported by vessel captains, to determine the at-sea "servicesheds" or customary fishing grounds of communities. 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/765477
  • Dataset
    Projected changes in habitat suitability for 33 marine species on the Northeast US shelf based on species distribution models fit to bottom trawl survey data from the NOAA Northeast Fisheries Science Center
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2019-05-22) Rogers, Lauren ; Griffin, Robert ; Young, Talia ; Fuller, Emma ; St. Martin, Kevin ; Pinsky, Malin
    Projected changes in habitat suitability for 33 marine species on the Northeast US shelf. Changes in habitat suitability are calculated based on species distribution models fit to bottom trawl survey data from the NOAA Northeast Fisheries Science Center. Positive values indicate an increase in habitat suitability by 2040-2050 relative to historical (1963-2005). The spatial resolution of projections is 0.25 x 0.25 degrees. 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/765386