Application of Machine Learning to Identify Predators of Stocked Fish in Lake Ontario: Using Acoustic Telemetry Predation Tags to Inform Management

Klinard, N. V., Matley, J. K., Ivanova, S. V., Larocque, S. M., Fisk, A. T., Johnson, T. B..
https://doi.org/10.1111/jfb.14574

General Details

Journal Journal Of Fish Biology
Authors Klinard, N. V., Matley, J. K., Ivanova, S. V., Larocque, S. M., Fisk, A. T., Johnson, T. B.
Year 2021
FAO Regions America, North - Inland Waters

Technical Details

Extent Large-Scale ?
Tracking Type Stationary ?
Array Resolution Broad-scale ?
Tag Sensor No Predation Temperature ?

Species

Scientific Name Common Name Life Stage Total Tagged Min Length (cm) Max Length (cm) Mean Length (cm) Sensors
Coregonus hoyi Bloater juvenile; adult 48 17 21 19 Predation Temperature
Oncorhynchus kisutch Coho salmon None 16 None None 53 No
Oncorhynchus mykiss Rainbow trout, Steelhead trout, Redband trout, Rainbown trout, Puget sound steelhead None 17 None None 53 No
Oncorhynchus tshawytscha Chinook salmon None 31 None None 54 No
Salmo salar Atlantic salmon None 20 None None 38 No
Salmo trutta Brown trout, Sea trout, Sea-run brown trout None 18 None None 48 No
Salvelinus namaycush Lake trout, Lake charr, Arctic char None 55 None None 70 No

Locations

  • 43.932065, -76.519295