Search Results

Search Constraints

Start Over
Filtering by: Creator Lopez-Fernandez, Hernan Remove constraint Creator: Lopez-Fernandez, Hernan Keyword Michigan Remove constraint Keyword: Michigan

Search Results

  • CHANGES Project - Fish Growth 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 Growth Analysis (GROW) 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 growth cards document fish that were aged and measured during fish surveys. The data that were transcribed from these cards and included in this dataset (grow_data.csv) are for each fish species: the number of fish measured in each age group, and the minimum, maximum, and average length of the fish for each age group. The final growth dataset includes length-at-age information for 36 different species (grow_species_table). For a description of all fields of this data table see grow_datadictionary.
    Keyword:
    fish, lake, growth, length, 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 Grabda, E.E., Flood, P.J., King, K.B.S., Breck, J.E., Wehrly, K.E., and Alofs, K.M. 2025. Mismatch between climate-based bioenergetics model of fish growth and long-term and regional-scale empirical data. Canadian Journal of Fisheries and Aquatic Sciences. 82: 1-15.  https://doi.org/10.1139/cjfas-2024-0266
    Discipline:
    Science

  • Collections, Heterogeneous data, and Next Generation Ecological Studies (CHANGES) - Michigan Lake Surveys

    User Collection
    collection
    Creator:
    Zooniverse contributors, Alofs, Karen, Schell, Justin, King, Katelyn, Thomer, Andrea, Wehrly, Kevin, and Lopez-Fernandez, Hernan
    Description:
    Archives at the Institute for Fisheries Research (IFR) hold meticulous records of thousands of lake surveys from the University of Michigan and Michigan Department of Natural Resources. Starting more than a century ago, surveys have been used to understand how fish were distributed across the state, which lakes would support sportfishing, and how lakes should be managed. We can now use these records of lake conditions and fish abundance and growth to understand how climate change and other factors have impacted fish communities. and The records contained in this collection are digitized records from the IFR surveys stored as jpeg image files. This collection includes information on both lake factors (e.g. depth, nutrients, temperature) and fishes (e.g. species, catch, length). Scanned cards were organized by card type and each dataset in this collection is for a specific card type.
    Keyword:
    lakes, Michigan, fishes, and surveys
    Discipline:
    Science
    26Works