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Alofs, Karen
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- Creator:
- King, Katelyn, Fujisaki-Manome, Ayumi, Brant, Cory, and Alofs, Karen
- Description:
- Ice cover on the Great Lakes plays an important role in regional climate, supports tourism and recreation, and provides ecological habitat. As the climate warms, ice cover in the Great Lakes is expected to decline, which in turn will create more lake effect precipitation, reduce ice cover for recreation, and alter habitat for fishes. Therefore, it is important to understand historical ice patterns to better understand and predict future ice cover on the lakes. However, Great Lakes ice cover data prior to 1973 is scarce, due to the limited routine satellite observations. Our dataset aims to fill this gap by providing historical spatial ice duration layers to be used for modeling species distributions. and ArcGIS Pro ( https://www.esri.com/en-us/arcgis/products/arcgis-pro/overview), QGIS ( https://qgis.org/) or other spatial data software will be required to view this dataset.
- Keyword:
- ice, Great Lakes, Superior, Michigan, Ontario, Erie, Huron, and historical
- Citation to related publication:
- King, K., Fujisaki-Manome, A., Brant, C., Cohn, D., Peng, I., Alofs, K., Reconstructing Great Lakes air temperature and ice dynamics data back to 1897. Under Review
- Discipline:
- Science
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Great Lakes Historical Ice Dynamics
User Collection
- Creator:
- King, Katelyn B., Fujisaki-Manome, Ayumi, Brant, Cory, and Alofs, Karen
- Description:
- This collection includes raster layers (as a geodatabase) with ice metrics for each of the Great Lakes representing the historical time period of 1898-1960. One metric is spatial mean ice duration (the number of days per year when the lake was frozen) and the other is coefficient of variation of ice duration (variability across years).
- Keyword:
- Great Lakes, Ice , Ice duration, Ice variability, Historical , Huron, Ontario, Erie, Michigan, and Superior
- Discipline:
- Science
1Works -
- 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
-
- 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:
- 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
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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 Treatment Report Chemical Rehabilitation cards detail the rehabilitation project that occurred in a lake. This includes the date treated, chemical used, objective of the treatment, and treatment methods. In addition, notes on the pre-treatment condition (e.g. air and water temperature) and post-treatment condition are included. These cards complement the CJUS and CEVA cards.
- Keyword:
- Lake, fish, management, and chemical treatment
- 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 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
-
- 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 Record Fish Planting cards show the species and number of fish planted (stocked) each year in a lake.
- Keyword:
- Lake, stocking, fish, and planting
- 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
-
- 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 Record cards show recommendations of management actions for each lake and then the record of actual management practices and results. Each action includes a date. Examples of management recommendations and actions include stocking, habitat management, regulation, and eradication.
- Keyword:
- Lake, management, eradication, stocking, fish, habitat, and regulation
- 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
-
- 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 Bottom Food Summary Cards report the samples from the bottom of the lake taken to look for possible food sources for fishes. This information includes the station number, area sampled, depth sampled, bottom substrate type, vegetation, and the organisms per sample. Organisms include round worms, flat worms, gastropods, molluscs, amphipods, water mites, and macroinvertebrates.
- Keyword:
- Lake, substrate, vegetation, macroinvertebrates, molluscs, mites, worms, gastropods, and amphipods
- 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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