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  • 1
    Publication Date: 2022-10-31
    Description: Dataset: HOBO temperatures from eelgrass field surveys
    Description: As part of field surveys to measure effects of eelgrass wasting disease, HOBO temperature loggers were deployed from July 2019 to July 2021 at field sites along the west coast of North America to provide a continuous record of in situ temperatures. 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/877355
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829890, NSF Division of Ocean Sciences (NSF OCE) OCE-1829922, NSF Division of Ocean Sciences (NSF OCE) OCE-1829921, NSF Division of Ocean Sciences (NSF OCE) OCE-1829992
    Keywords: Seawater temperature ; Eelgrass meadow
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2022-10-31
    Description: Dataset: Eelgrass Shoot Density
    Description: These data were collected during ecological field surveys of eelgrass (Zostera marina) meadows along the eastern Pacific from southeastern Alaska to southern California. Parameters measured include seagrass morphology, meadow condition (e.g. shoot densities), and incidence and severity of eelgrass wasting disease. Data were collected within the intertidal area of 32 eelgrass meadows distributed in six regions (five-six meadows sampled in the regions of Alaska, British Columbia, Washington, Oregon, California - Bodega Bay, and California - San Diego). Surveys were conducted in between late June and early August in 2019, 2020, and 2021 by teams from six institutions. The influence of disease on seagrass dynamics is not well understood, and these data can further understanding of the environmental drivers of disease by connecting wasting disease with eelgrass condition across a broad geographic gradient. 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/879764
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829890, NSF Division of Ocean Sciences (NSF OCE) OCE-1829922, NSF Division of Ocean Sciences (NSF OCE) OCE-1829921, NSF Division of Ocean Sciences (NSF OCE) OCE-1829992
    Keywords: Seagrass wasting diSease ; Zostera marina ; Intertidal ; Eelgrass meadow
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2022-10-31
    Description: Dataset: Eelgrass Shoot Metrics
    Description: These data were collected during ecological field surveys of eelgrass (Zostera marina) meadows along the eastern Pacific from southeastern Alaska to southern California. Parameters measured include seagrass morphology, meadow condition (e.g. shoot densities), and incidence and severity of eelgrass wasting disease. Data were collected within the intertidal area of 32 eelgrass meadows distributed in six regions (five-six meadows sampled in the regions of Alaska, British Columbia, Washington, Oregon, California - Bodega Bay, and California - San Diego). Surveys were conducted in between late June and early August in 2019, 2020, and 2021 by teams from six institutions. The influence of disease on seagrass dynamics is not well understood, and these data can further understanding of the environmental drivers of disease by connecting wasting disease with eelgrass condition across a broad geographic gradient. 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/878857
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829890, NSF Division of Ocean Sciences (NSF OCE) OCE-1829922, NSF Division of Ocean Sciences (NSF OCE) OCE-1829921, NSF Division of Ocean Sciences (NSF OCE) OCE-1829992
    Keywords: Seagrass wasting diSease ; Zostera marina ; Artificial intelligence ; Temperature anomaly ; Intertidal
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2022-10-31
    Description: Dataset: Eelgrass Disease Metrics
    Description: These data were collected during ecological field surveys of eelgrass (Zostera marina) meadows along the eastern Pacific from southeastern Alaska to southern California. Parameters measured include seagrass morphology, meadow condition (e.g. shoot densities), and incidence and severity of eelgrass wasting disease. Data were collected within the intertidal area of 32 eelgrass meadows distributed in six regions (five-six meadows sampled in the regions of Alaska, British Columbia, Washington, Oregon, California - Bodega Bay, and California - San Diego). Surveys were conducted in between late June and early August in 2019, 2020, and 2021 by teams from six institutions. The influence of disease on seagrass dynamics is not well understood, and these data can further understanding of the environmental drivers of disease by connecting wasting disease with eelgrass condition across a broad geographic gradient. 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/879780
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829890, NSF Division of Ocean Sciences (NSF OCE) OCE-1829922, NSF Division of Ocean Sciences (NSF OCE) OCE-1829921, NSF Division of Ocean Sciences (NSF OCE) OCE-1829992
    Keywords: Seagrass wasting diSease ; Zostera marina ; Intertidal ; Eelgrass meadow
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2022-08-19
    Description: © The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Aoki, L. R., Brisbin, M. M., Hounshell, A. G., Kincaid, D. W., Larson, E., Sansom, B. J., Shogren, A. J., Smith, R. S., & Sullivan-Stack, J. Preparing aquatic research for an extreme future: call for improved definitions and responsive, multidisciplinary approaches. Bioscience, 72(6), (2022): 508-520, https://doi.org/10.1093/biosci/biac020.
    Description: Extreme events have increased in frequency globally, with a simultaneous surge in scientific interest about their ecological responses, particularly in sensitive freshwater, coastal, and marine ecosystems. We synthesized observational studies of extreme events in these aquatic ecosystems, finding that many studies do not use consistent definitions of extreme events. Furthermore, many studies do not capture ecological responses across the full spatial scale of the events. In contrast, sampling often extends across longer temporal scales than the event itself, highlighting the usefulness of long-term monitoring. Many ecological studies of extreme events measure biological responses but exclude chemical and physical responses, underscoring the need for integrative and multidisciplinary approaches. To advance extreme event research, we suggest prioritizing pre- and postevent data collection, including leveraging long-term monitoring; making intersite and cross-scale comparisons; adopting novel empirical and statistical approaches; and developing funding streams to support flexible and responsive data collection.
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Location Call Number Limitation Availability
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