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Comparison of catch in multifilament and monofilament gill nets in a long-term survey on Lake Michigan
Affiliation:1. Natural Resources Department, Sault Ste. Marie Tribe of Chippewa Indians, 2428 Shunk Rd, Sault Ste. Marie, MI Resources 49783, USA;2. Michigan Department of Natural Resources, Charlevoix Fisheries Research Station, 96 Grant Street, Charlevoix, MI 49720, USA;3. Michigan State University, 480 Wilson Rd, East Lansing, MI 48824, USA;4. Little Traverse Bay Bands of Odawa Indians, 7500 Odawa Circle, Harbor Springs, MI 49740, USA;1. Department of Civil and Environmental Engineering, University of Windsor, Windsor, ON, Canada;2. Environment and Climate Change Canada, Water Science and Technology, Canada Centre for Inland Waters, Burlington, ON L7S 1A1, Canada;3. UWA School of Agriculture and Environment, The University of Western Australia, 35 Stirling Hwy, M004, Crawley, WA 6009, Australia;1. Department of Biology, Clarkson University, Potsdam, NY 13699, United States;2. Institute for a Sustainable Environment, Clarkson University, Potsdam, NY 13699, United States;3. Département des Sciences de l’Environnement, Université du Québec à Trois-Rivières, CP 500, Trois-Rivières, QC G9A 5H7, Canada;1. US Environmental Protection Agency, Office of Research and Development, 2000 Traverwood Drive #C59, Ann Arbor, MI 48105, USA;2. General Dynamics Information Technology, Falls Church, VA 22042, USA;3. US Environmental Protection Agency, Office of Research and Development, Duluth, MN, USA;4. US Environmental Protection Agency, National Student Services Contract, Office of Research and Development, Duluth, MN, USA;1. Cornell University, Department of Natural Resources and the Environment, Cornell Biological Field Station, Bridgeport, NY 13030, USA;2. U.S. Geological Survey, Great Lakes Science Center, 17 Lake Street, Oswego, NY 13126, USA;3. U.S. Geological Survey, Great Lakes Science Center, 1451 Green Road, Ann Arbor, MI 48105, USA;4. Great Lakes Center, Buffalo State College, 1300 Elmwood Ave, Buffalo, NY 14222, USA
Abstract:Long-term fishery independent surveys provide metrics of relative abundance and contribute biological information critical to effective fisheries management. Improvements in technology and manufacturing processes have had profound effects on gear efficiency. In Lake Michigan, a standardized multi-agency fish community survey was adopted in 1998 which used multifilament nets to survey nearshore fish communities. Contemporary commercial gill netting operations largely utilize monofilament nets because they’re less expensive, more durable and thought to be less visible and therefore more efficient. As such, interest in converting long-term agency surveys to monofilament nets has grown. To compare catch rates and the size of fish collected, we set similarly configured nets of both mesh materials on the same day at standard survey locations. The most common species captured in the survey were lake trout (52%), yellow perch (19%), lake whitefish (15%), longnose sucker (8%), white sucker (4%) and burbot (1%). Monofilament nets were more efficient in capturing lake whitefish and longnose sucker and equally efficient in capturing other species. On average, nearly three times (2.85) as many lake whitefish were captured in monofilaments nets, and two times as many longnose suckers (2.13). Larger lake whitefish and yellow perch were captured in monofilament nets, whereas lake trout were slightly smaller. For other fish species, similar sizes were captured in each net material. This evaluation incorporated broad replication (298 paired nets) and representation from diverse locations and depth strata in Lake Michigan to inform gear conversion efforts and allow for adjustments as needed in gear conversion efforts.
Keywords:Gillnet  Conversion coefficient  Monofilament  Lake trout  Lake whitefish  Yellow perch
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