Synthesis of doliolid imagery and oceanographic data from six ecosystems collected from multiple research cruises conducted between 2010 and 2019
Synthesis of doliolid imagery and oceanographic data from six ecosystems collected from multiple research cruises conducted between 2010 and 2019
Date
2023-05-02
Authors
Greer, Adam T.
Frischer, Marc E.
Frischer, Marc E.
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Date Created
2023-02-07
Location
Mid continental shelf of the South Atlantic Bight; Marsden Grid 117; Navy Op Area NA06
westlimit: -125.1078; southlimit: 24.9423; eastlimit: 7.793519; northlimit: 44.6521
westlimit: -125.1078; southlimit: 24.9423; eastlimit: 7.793519; northlimit: 44.6521
DOI
10.26008/1912/bco-dmo.885637.1
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Abstract
Doliolids are common gelatinous grazers in marine ecosystems around the world. Aggregations or blooms of these organisms occur frequently, but they are difficult to measure or predict and ecological studies typically target a single region or site that does not encompass the range of possible habitats favoring doliolid proliferation. To address these limitations, we combined in situ imaging data from six coastal ecosystems, including the Oregon shelf, northern California, southern California Bight, northern Gulf of Mexico, Straits of Florida, and Mediterranean Sea, to resolve and compare doliolid habitat associations during warm months when environmental gradients are strong and doliolid blooms are frequently documented. The data analyzed were from multiple research cruises conducted between 2010 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/885637
Description
Dataset: Doliolid Distribution Synthesis
Embargo Date
Citation
Greer, A. T., & Frischer, M. E. (2023). Synthesis of doliolid imagery and oceanographic data from six ecosystems collected from multiple research cruises conducted between 2010 and 2019 (Version 1) [Data Set]. Biological and Chemical Oceanography Data Management Office (BCO-DMO). https://doi.org/10.26008/1912/bco-dmo.885637.1