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- 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
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- 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
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- 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 Management Proposals Cards contain information for a lake and proposals for management strategies. Information includes present designation and change in designation, present game species, stocking suggestions, predator control, food increase suggestions, vegetation, shelters, spawning facilities, water level regulation, and other recommendations.
- Keyword:
- lake, fish, stocking, vegetation, predator control, shelter, spawning, water level, and management
- 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
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- 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
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- Creator:
- Alofs, Karen, Schell, Justin, King, Katelyn, Thomer, Andrea, Wehrly, Kevin, and Lopez-Hernandez, 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 Lake volume analysis cards describe the acreage of different parts of the lake as well as the acre feet at different depth contours. Information also includes the location, surface elevation, area of the lake, date, and name of investigator.
- Keyword:
- lake, area, elevation, and depth
- 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
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- Creator:
- Alofs, Karen, Schell, Justin, King, Katelyn, Thomer, Andrea, Wehrly, Kevin, and Lopez-Hernandez, 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 Aquatic vegetation analysis cards contain information about the depth and types of aquatic vegetation observed by an investigator. They also include basic information about the location, date, and collector name.
- Keyword:
- lake and vegetation
- 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
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- 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
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- 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 Lake Summary cards include information about the lake location and its characteristics, such as lake depth, water chemistry, water color, and transparency (commonly measured as Secchi depth). There is information on surrounding characteristics such as its connectivity to other waterbodies, shoreline conditions, and surrounding land-use. This card also lists the fishes present in the lake and makes observations about fishing pressure, parasites, and reproduction.
- Keyword:
- lake, fishes, depth, land use, temperature, thermocline, fishing pressure, and Secchi depth
- 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
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- Creator:
- Sorensen, Troy R, Espey, Eamon, Kelley, John G. W. , Kessler, James, and Gronewold, Andrew D.
- Description:
- Inland lakes play a critical role in ecosystem stability, and robust validation of lake models is essential for understanding their dynamics. While remote sensing data can assist with lake surface temperature validation, in situ data typically provides more accurate, reliable data not limited to only the lake surface. However, in situ temperature data for many individual lakes, particularly in North America, is difficult for researchers to quickly access in a standardized format. This database offers a well-organized collection of in situ near-surface and subsurface temperatures from 134 sites divided among 29 large North American inland lakes collected from a variety of sources. The database includes multiple subsurface temperatures throughout the depth profile of 84 of these sites, providing comprehensive data for lake model evaluation. All lakes selected for this database are large enough (over approximately 30 km^2 to be represented by large-scale operational weather models, supporting robust lake model validation efforts on the lakes that have the greatest impact on climatology.
- Keyword:
- lake, temperature, in situ, and subsurface
- Citation to related publication:
- Sorensen, T., Espey, E., Kelley, J.G.W. et al. A database of in situ water temperatures for large inland lakes across the coterminous United States. Sci Data 11, 282 (2024). https://doi.org/10.1038/s41597-024-03103-8
- Discipline:
- Science