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  • Review of ecological research approaches for the study of extreme events in aquatic ecosystems
  • Aoki, Lillian R; University of Oregon
    Brisbin, Margaret M; Woods Hole Oceanographic Institution
    Hounshell, Alexandria G; Virginia Tech
    Kincaid, Dustin W; University of Vermont
    Larson, Erin; Alaska Pacific University
    Sansom, Brandon J; SUNY University at Buffalo
    Shogren, Arial J; Michigan State University
    Smith, Rachel S; University of Virginia
    Sullivan-Stack, Jenna; Oregon State University
  • 2022-02-09
  • Aoki, L.R., M.M. Brisbin, A.G. Hounshell, D.W. Kincaid, E. Larson, B.J. Sansom, A.J. Shogren, R.S. Smith, and J. Sullivan-Stack. 2022. Review of ecological research approaches for the study of extreme events in aquatic ecosystems ver 1. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-29).
  • Extreme climatic events have increased in frequency globally, with a simultaneous surge in scientific interest about their ecological consequences, particularly in sensitive freshwater, coastal, and marine ecosystems. In this context, it is imperative that ecologists apply their expertise to understand and predict the ecological impacts of extreme events, and to collaborate across disciplines and sectors to improve socio-ecological resilience to extreme events. However, ecological research on extreme events is often opportunistic and hampered by lack of coordination, among ecologists and among interdisciplinary collaborators. We conducted a literature search to investigate the research approaches that ecologists use to study extreme events in aquatic ecosystems (including freshwater, coastal, and marine ecosystems), that is, to understand how, when, and where ecologists study these events, and to identify areas to improve research practices. We used keywords related to ecology, aquatic ecosystems, and types of extreme events to identify 215 relevant papers in the literature and we examined these papers to identify 49 studies that met our inclusion criteria of including observations of ecological responses to an extreme event occurring in an aquatic ecosystem. We then extracted information from the 49 included papers, including information on the ecosystem, the extreme event, the spatial and temporal approaches to sampling, the types of response variables sampled, and the magnitude of responses measured. This dataset collates research approaches to the study of extreme events in aquatic ecosystems at a broad scale. Based on this literature review, we identified key areas where aquatic ecologists can improve research practices, including prioritizing pre- and post-event data collection, leveraging long-term and cross-site monitoring networks, and adopting novel approaches to analysis, synthesis, and collaboration.

  • N: 58.997178      S: -77.7      E: 169.800054      W: -136.165847
  • This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
  • DOI PLACE HOLDER
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