Skip to main content
Advanced Search

Filters: Contacts: Alexander W. Latzka (X)

2 results (27ms)   

View Results as: JSON ATOM CSV
Understanding age and growth are important for fisheries science and management; however, age data are not routinely collected for many populations. We propose and test a method of borrowing age–length data across increasingly broader spatiotemporal levels to create a hierarchical age–length key (HALK). We assessed this method by comparing growth and mortality metrics to those estimated from lake–year age–length keys ages using seven common freshwater fish species across the upper Midwestern United States. Levels used for data borrowing began most specifically by borrowing within lake across time and increased in breadth to include data within the Hydrologic Unit Code (HUC) 10 watershed, HUC8 watershed, Level III...
Categories: Publication; Types: Citation
thumbnail
Fisheries monitoring data detailing the lengths and or ages of fish caught during state agency fisheries surveys. These data were collected and shared with our team from: Iowa Department of Natural Resources, Illinois Department of Natural Resources, Indiana Department of Natural Resources, Michigan Department of Natural Resources, Minnesota Department of Natural Resources, South Dakota Game, Fish and Parks, and Wisconsin Department of Natural Resources. Data include length and age data for seven sport fish species: black crappie (Pomoxis nigromaculatus), bluegill (Lepomis macrochirus), largemouth bass (Micropterus salmoides), northern pike (Esox lucius), smallmouth bass (Micropterus dolomieu), walleye (Sander vitreus),...
    map background search result map search result map Data in Support of "The Incredible HALK Borrowing Data for Age Assignment" to Create Hierarchical Age Length Keys for Several Fish Species in the Midwest Region Data in Support of "The Incredible HALK Borrowing Data for Age Assignment" to Create Hierarchical Age Length Keys for Several Fish Species in the Midwest Region