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  • CHANGES Project - Fish Collection Curated Data

    work
    Creator:
    King, Katelyn, Schell, Justin, Alofs, Karen, Thomer, Andrea, Wehrly, Kevin, Lenard, Michael, and Lopez-Fernandez, Hernan
    Description:
    Michigan lakes are an important resource, however, their ecosystems are declining and projected to continue to face further impacts under future land use and climate change. Understanding how lake ecosystems respond to environmental stressors and management actions is critical for identifying resilient lakes and developing adaptation strategies. However, the ability to manage lakes is hampered by a lack of historical information. Historical lake data in Michigan were originally archived as index cards at the Michigan Department of Natural Resources. All of the images of these cards are stored in this collection, Collections, Heterogeneous data, and Next Generation Ecological Studies (CHANGES) - Michigan Lake Surveys, and the images for this specific dataset are stored in the CHANGES Project- Fish Collection (FISHc) dataset. The CHANGES project used a crowd sourcing platform called Zooniverse to transcribe at least basic information (i.e. dates, collected by) from all of these cards. Some of the card types, such as the one in this dataset, were prioritized to transcribe to produce a usable (i.e. machine-readable, uniform, and standardized) historical dataset. and Fish collection card types include targeted and non-targeted fisheries surveys by the Department of Natural Resources and this information was transcribed and curated into a csv file (fishc_data.csv). These records include information on the gear types used, the area surveyed and the length and mesh size of nets fished. The number and common name of fish species caught were recorded as well and included in a species table (fishc_species_table). A description of all data fields can be found in the fishc_datadictionary.
    Keyword:
    lake , fish, gear, abundance, and Michigan
    Citation to related publication:
    King, K.B.S., Schell, J, Wehrly, K.E., Lenard, M., Singer, R., López-Fernández, H., Thomer, A.K., & Alofs, K.M. Community science helps digitize 78 years of fish and habitat data for thousands of lakes in Michigan, USA. under review and King, K.B.S, Giacomini, H.C., Wehrly, K., López-Fernández, H., Thomer, A.K., & Alofs, K.M. (2023). Using historical fish catch data to evaluate predicted changes in relative abundance in response to a warming climate. Ecography. 2023:8.  https://doi.org/10.1111/ecog.06798
    Discipline:
    Science

  • CHANGES Project - Fish Collection (FISHc)

    work
    Creator:
    Alofs, Karen, Schell, Justin, King, Katelyn, Thomer, Andrea, Wehrly, Kevin, and Lopez-Fernandez, Hernan
    Description:
    Archives at the Institute for Fisheries Research (IFR) hold records of thousands of lake surveys from the University of Michigan and Michigan Department of Natural Resources. The records contained in this dataset are jpeg images of the index card records from the IFR surveys. Images include the front of the card and when available, the back of a card. and Fish Collection Cards report the number of individuals of each species captured. The cards also record what gear (for example seine or gill net) was used for surveys, where fish were sampled in the lake, and when and for how long sampling occurred.
    Keyword:
    lake, fish, gill net , seine, trap net, electrofishing, survey , and abundance
    Citation to related publication:
    King, K.B.S, Giacomini, H.C., Wehrly, K., López-Fernández, H., Thomer, A.K., & Alofs, K.M. (2023). Using historical fish catch data to evaluate predicted changes in relative abundance in response to a warming climate. Ecography. 2023:8.  https://doi.org/10.1111/ecog.06798 and Erickson, Jim. "New crowdsourced project to digitize Michigan lake and fish records, looking for climate trends." University of Michigan School of Environment and Sustainability News. March 17, 2021. URL:  https://seas.umich.edu/news/new-crowdsourced-project-digitize-michigan-lake-and-fish-records-looking-climate-trends
    Discipline:
    Science