Unveiling the recovery dynamics of Walleye after the invisible collapse

Author:

Cahill Christopher L.1,Walters Carl J.2,Paul Andrew J.3,Sullivan Michael G.4,Post John R.5

Affiliation:

1. University of Calgary, Department of Biological Sciences, 2500 University Drive, Calgary, Alberta, Canada, T2N 1N4;

2. University of British Columbia, Institute for the Oceans and Fisheries, Vancouver, British Columbia, Canada;

3. Alberta Ministry of Environment and Parks, 357550, Fish and Wildlife Policy, Box 1420, 2nd Floor, 213 - 1 Street W., Provincial Building, T4C 1B4, Cochrane, Alberta, Canada, T4C 1B4, ;

4. Alberta Fish and Wildife, Fisheries Branch, 6909-116 st, 7th Floor, Edmonton, Alberta, Canada, T6H 4P2, , ;

5. University of Calgary, Biological Sciences, 2500 University Drive NW, Calgary, Alberta, Canada, T3A 4X5;

Abstract

Walleye (Sander vitreus) populations in Alberta, Canada collapsed by the mid-1990s and were a case study in the paper Canada’s Recreational Fisheries: The Invisible Collapse? Here we fit age-structured population dynamics models to data from a landscape-scale monitoring program to assess Walleye population status and reconstruct recruitment dynamics following the invisible collapse. Assessments indicated that populations featured low F_msy values of approximately 0.2-0.3 under conservative assumptions for the stock-recruitment relationship but that many populations were lightly exploited during 2000-2018. Recruitment reconstructions showed that recovery from collapse in 33/55 lakes was driven in part by large positive recruitment anomalies that occurred during 1998-2002. Additionally, 15/55 lakes demonstrated cyclic recruitment dynamics. Both the recruitment anomalies and cyclic fluctuations could be due to environmental effect(s) and(or) cannibalism, and experimentation may be necessary to resolve this uncertainty. These findings contribute new information on the recovery dynamics of Walleye following the invisible collapse, and demonstrate the effectiveness of coupling traditional fisheries science models with broad-scale monitoring data to improve understanding of population dynamics and sustainability across landscapes.

Publisher

Canadian Science Publishing

Subject

Aquatic Science,Ecology, Evolution, Behavior and Systematics

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