Search Results

Search Constraints

Start Over
Filtering by: Creator Schell, Justin Remove constraint Creator: Schell, Justin Keyword lake area Remove constraint Keyword: lake area

Search Results

  • CHANGES Project - Lake Summary 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- Lake Summary (SUMM) 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 Lake summary cards that we transcribed and curated include habitat information for a lake as well as observed fish species (summ_data.csv). These variables include anthropogenic lake characteristics such as fishing intensity, shoreline structures, and dams; lake morphometric characteristics like depth and area; as well as in situ measures of temperature, dissolved oxygen, and Secchi depth. Many of the characteristics were listed as a range, and therefore, have a column for minimum and maximum in the data file (e.g. temp_surface_min_c and temp_surface_max_c). In addition, the lake summary cards listed the fish species present, so the csv file includes columns with the fish species common name (summ_species_table) and corresponding values are either a ‘1’ representing presence of a species or ‘0’ representing absence. For a full description of all the fields of this data table see summ_datadictionary.
    Keyword:
    lake, fish, Secchi, temperature, nutrients, oxygen, shoreline, habitat, dams, lake depth, lake area, and fishing intensity
    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
    Discipline:
    Science

  • CHANGES Project - Examination Sheet (EXAM)

    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 Examination cards are similar to lake summary cards, but have less information. They include connectivity, water color, vegetation, food sources, bottom substrate, shore condition, temperature, area, and fish species observations.
    Keyword:
    lake, fish, vegetation, substrate, water color, lake area, temperature, and shoreline
    Citation to related publication:
    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