Linking fish population dynamics to habitat conditions: insights from the application of a process-oriented approach to several Great Lakes species |
| |
Authors: | Daniel Hayes Michael Jones Nigel Lester Cindy Chu Susan Doka John Netto Jason Stockwell Bradley Thompson Charles K Minns Brian Shuter Nicholas Collins |
| |
Institution: | 1. Department of Fisheries and Wildlife, Michigan State University, 13 Natural Resources Building, East Lansing, MI, 48824-1222, USA 2. Harkness Laboratory of Fisheries Research, Aquatic Research and Development Section, Ontario Ministry of Natural Resources, 2140 East Bank Drive, Peterborough, ON, K9J 7B8, Canada 3. Biology Department, University of Toronto at Mississauga, 3359 Mississauga Road, Mississauga, ON, L5L 1C6, Canada 4. Environmental and Life Sciences Graduate Program, Trent University, 1600 West Bank Drive, Peterborough, ON, K9J 7B8, Canada 5. Great Lakes Laboratory for Fisheries and Aquatic Sciences, Fisheries and Oceans Canada, P.O. Box 5050, 867 Lakeshore Road, Burlington, ON, L7R 4A6, Canada 6. US Fish and Wildlife Service, 4001 N Wilson Way, Stockton, CA, 95205, USA 7. Gulf of Maine Research Institute, 350 Commercial St., Portland, ME, 04101, USA 8. US Fish and Wildlife Service, Western Washington Fish and Wildlife Office, 510 Desmond Drive SE, Suite 102, Lacey, WA, 98503, USA
|
| |
Abstract: | One of the major challenges facing fishery scientists and managers today is determining how fish populations are influenced
by habitat conditions. Many approaches have been explored to address this challenge, all of which involve modeling at one
level or another. In this paper, we explore a process-oriented model approach whereby the critical population processes of
birth and death rates are explicitly linked to habitat conditions. Application of this approach to five species of Great Lakes
fishes including: walleye (Sander vitreus), lake trout (Salvelinus namaycush), smallmouth bass (Micropterus dolomieu), yellow perch (Perca flavescens), and rainbow trout (Onchorynchus mykiss), yielded a number of insights into the modeling process. One of the foremost insights is that processes determining movement
and transport of fish are critical components of such models since these processes largely determine the habitats fish occupy.
Because of the importance of fish location, an individual-based model appears to be a nearly inescapable modeling requirement.
There is, however, a paucity of field-based data directly relating birth, death, and movement rates to habitat conditions
experienced by individual fish. There is also a paucity of habitat information at a fine temporal and spatial scale for many
important habitat variables. Finally, the general occurrence of strong ontogenetic changes in the response of different life
stages to habitat conditions emphasizes the need for a modeling approach that considers all life stages in an integrated fashion. |
| |
Keywords: | Fish habitat Population processes Individual-based modeling Great Lakes fishes |
本文献已被 SpringerLink 等数据库收录! |
|