Landscape-scale social and ecological outcomes of dynamic angler and fish behaviours: processes, data, and patterns

Author:

Carruthers Thomas R.1,Dabrowska Kornelia2,Haider Wolfgang2,Parkinson Eric A.1,Varkey Divya A.1,Ward Hillary3,McAllister Murdoch K.1,Godin Theresa4,Van Poorten Brett1,Askey Paul J.5,Wilson Kyle L.6,Hunt Len M.7,Clarke Adrian8,Newton Eric6,Walters Carl1,Post John R.5

Affiliation:

1. Institute for the Oceans and Fisheries, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada.

2. School of Resource and Environmental Management, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada.

3. Ministry of Forests, Lands, Natural Resource Operations and Rural Development, Penticton, BC V2A 7C8, Canada.

4. Freshwater Fisheries Society of British Columbia, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada.

5. Freshwater Fisheries Society of British Columbia, Summerland, BC V0H 1Z1, Canada.

6. Ecology and Evolutionary Biology, Department of Biological Sciences, University of Calgary, Calgary, AB T2N 1N4, Canada.

7. Centre for Northern Forest Ecosystem Research, Ontario Ministry of Natural Resources and Forestry, Thunder Bay, ON P7E 2V6, Canada.

8. Freshwater Fisheries Society of British Columbia, Victoria, BC V9A 7S2, Canada.

Abstract

The first relatively complete landscape-scale social–ecological system (SES) model of a recreational fishery was developed and ground-truthed with independent angling effort data. Based on the British Columbia multistock recreational fishery for rainbow trout (Oncorynchus mykiss), the model includes hundreds of individual lake fisheries, hundreds of thousands of anglers, originating from tens of communities, connected by complex road and trail networks, all distributed over a landscape of approximately half a million square kilometres. The approach is unique in that it incorporates realistic and empirically derived behavioural interactions within and among the three key components of the SES: angler communities, fish populations, and management policies. Current management policies were characterized and alternate policies assessed by simulation. We examined spatial patterns in ecological and social properties of the SES and used simulations to investigate the impacts of alternate management policies on these patterns. Simulation outcomes strongly depended on the spatial redistribution of anglers across the landscape, existing road networks, heterogeneity in angler behaviours, and the spatial pattern of fish population productivity.

Publisher

Canadian Science Publishing

Subject

Aquatic Science,Ecology, Evolution, Behavior and Systematics

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