2003
DOI: 10.1577/m02-097
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Predicting the Occurrence and Success of Walleye Populations from Physical and Biological Features of Northern Wisconsin Lakes

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Cited by 32 publications
(34 citation statements)
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“…For example, physical features of lakes stocked with walleyes (e.g., amount of vegetation, maximum depth) may lead anglers to believe that the population density is higher or lower than it actually is. However, Nate, Bozek, Hansen, Ramm, Bremigan, and Hewett (2003) showed that habitat parameters could be used to predict the presence or absence of walleye in general, but could not be used to differentiate between lakes with self-sustaining and stocked walleye populations in northern Wisconsin. This suggests that lakes with walleye, regardless of their origin, are roughly similar in their habitats and therefore are unlikely to affect angler's perception of fish density.…”
Section: Discussionmentioning
confidence: 99%
“…For example, physical features of lakes stocked with walleyes (e.g., amount of vegetation, maximum depth) may lead anglers to believe that the population density is higher or lower than it actually is. However, Nate, Bozek, Hansen, Ramm, Bremigan, and Hewett (2003) showed that habitat parameters could be used to predict the presence or absence of walleye in general, but could not be used to differentiate between lakes with self-sustaining and stocked walleye populations in northern Wisconsin. This suggests that lakes with walleye, regardless of their origin, are roughly similar in their habitats and therefore are unlikely to affect angler's perception of fish density.…”
Section: Discussionmentioning
confidence: 99%
“…Given the close proximity and similar morphometry of the walleye lakes in northern Wisconsin (Nate et al 2003) and the fact that weather conditions are usually consistent throughout the region, we assumed that conditions were similar across the ceded territory. This assumption allowed for estimation of the equations used for this simulation model with data from lakes throughout the region.…”
Section: Methodsmentioning
confidence: 99%
“…Substrate classification and validation.-For both side-scan sonar and transect-quadrat surveys, substrates were categorized based on the particle size-classes (mm) used by Raabe and Bozek (2012). We modified the Raabe and Bozek (2012) classification scheme by combining fine and coarse organic matter into one organic matter class (Table 2) because both types of organic matter have been shown to negatively affect Walleye recruitment (Johnson 1961;Nate et al 2001;Nate et al 2003) and discrimination of these substrate types via side-scan sonar and direct observation was difficult in initial surveys. Although Walleyes can deposit eggs over many substrates, we considered gravel, cobble, and rubble to represent the preferred Walleye spawning substrates based on the findings of Raabe and Bozek (2012).…”
Section: Management Briefmentioning
confidence: 99%