Input controls
Input controls (i.e., limitations on fishing effort) used to manage walleye generally consist of closed spring fishing seasons in recreational fisheries (e.g., first Sunday in March to first Saturday in May in Wisconsin lakes), quotas in some recreational fisheries (e.g., Mille Lacs, Minnesota), and the seasonality of tribal subsistence fisheries that primarily focus on spawning walleye in spring. Most waterbodies in the midwestern United States and Canada are open access, meaning that recreational angler effort is not regulated outside of closed fishing seasons. Although open access fisheries are one of the greatest privileges afforded to anglers, the current trajectory of walleye populations in some regions may require consideration of increased angler effort limitation, including additional or longer closed seasons, gear restrictions, and (or) harvest quotas to conserve diminished walleye resources. In extreme circumstances, a lottery system could be used to regulate angler effort and exploitation on individual waterbodies. Effort limitation has been proposed in British Columbia rainbow trout (
Oncorhyncus mykiss (Walbaum)) fisheries (
Cox et al. 2002), is used in a Wisconsin lake sturgeon (
Acipenser fulvescens Rafinesque) spearfishery (
Bruch 1999), and is relatively common for hunting wildlife on public and private lands (
Boxall 1995;
Scrogin et al. 2000). Walleye recreational fisheries are typically closed in late winter/early spring to protect mature females. Angler catch and harvest rates of walleye typically peak in late spring/early summer (May, June), with another minor peak in fall (
Bailey et al. 2019;
Sass et al. 2023). Additional or prolonged closed seasons during high angler catch and harvest rate periods could be used to conserve the species in dire situations. The use of artificial baits by walleye anglers has also been shown to reduce catch and harvest rates and effort per trip compared to live bait users (
Bailey et al. 2019). Artificial bait-only regulations could serve to reduce exploitation and walleye angler effort. Although more common in tribal subsistence fisheries for walleye due to high efficiency (
Hansen et al. 2005;
Mrnak et al. 2018), harvest quotas could be used in recreational fisheries to protect walleye populations. Harvest quotas in recreational walleye fisheries would require angler creel surveys to track annual harvest. Such measures are currently being used on Mille Lacs, Minnesota, and in a walleye production overharvest experiment on Escanaba Lake, Wisconsin (
Sass et al. 2022b), and are certainly not outside the realm of possibility for agencies considering tradeoffs between supporting fisheries-dependent or fisheries-independent assessments of fish populations. That said, it has clearly been established that fisheries-dependent data alone are inadequate for assessing fish population status due to hyperstability in angler catch rates for many fishes (
Hansen et al. 2005;
Ward et al. 2013;
van Poorten et al. 2016;
Mrnak et al. 2018;
Dassow et al. 2020;
Feiner et al. 2020a;
Mosley et al. 2022). Management agencies must ponder the tradeoffs of using limited resources and funding to best assess walleye population status through fisheries-independent surveys, fisheries-dependent creel surveys, or both. Angler receptiveness of walleye harvest quotas and communication of harvest periods ending may be inconvenient for anglers and management agencies but seem a small price to pay for tradeoffs between harvest opportunity and fisheries collapse. Collectively, input controls such as lottery systems, fishery closures during highly vulnerable periods, gear restrictions, and harvest quotas could be used in circumstances where the probability of fishery collapse (i.e., nearing an ecological tipping point or depensatory threshold) is high.
Output controls
Output controls (i.e., limits on the number of fish coming out of a fishery) have long been used to prevent overexploitation of walleye populations and to meet population-specific demographic objectives and angler desires (e.g., size-structure, trophy potential). Minimum length limits in recreational fisheries have generally corresponded with length at maturity. For many walleye populations, this roughly corresponds with 381 mm minimum length limits or walleye ranging in age from about 3 to 5 due to sexually dimorphic growth (
Sass 2001;
Henderson et al. 2003;
Sass and Kitchell 2005;
Rennie et al. 2008). Tribal subsistence fisheries targeting walleye during spring spawning generally harvest mature fish (mean length = 398 mm;
Mrnak et al. 2018). Daily bag limits for walleye in recreational angling fisheries in the midwestern United States and Canada generally range from 2 to 6 walleye/angler/day, with more liberal daily bag limits associated with greater population abundance and consistent natural recruitment, and more conservative regulations associated with lower population abundance or allocations of harvest between recreational and subsistence fisheries. Possession limits for walleye are typically double the daily bag limit.
Given the harvest-oriented nature of walleye fisheries (
Gaeta et al. 2013;
Hansen et al. 2015), known knife-edge vulnerabilities of walleye >381 mm (
Tsehaye et al. 2016), and high angler effort and high-efficiency subsistence fisheries (
Mrnak et al. 2018), I am continually baffled by minimum length limits that target the harvest of recently maturing fish. Effectiveness of such regulations rely on consistent natural recruitment to replenish adult stocks and to provide harvest opportunity. Using this management strategy, walleye may only have one or two opportunities to spawn prior to being vulnerable to harvest. This strategy seems non-sensical and the antithesis of precautionary given that environmental factors have been consistently shown to be better predictors of age-0 walleye recruitment than adult stock size (
Hansen et al. 1998;
Beard et al. 2003;
Shaw et al. 2018). Such strategies may challenge walleye population sustainability when natural recruitment is inconsistent, and “mismatches” exceed “matches” in recruitment success (
Cushing 1990;
Feiner et al. 2022a;
Barta et al. 2024). Maternal-related effects (i.e., proportion of longer female walleye in a population, body condition) have also been shown to be better predictors of age-0 recruitment than adult stock size (
Shaw et al. 2018;
Feiner et al. 2019). No harvest slot length limits (e.g., 508–620 mm) have been used to protect longer female walleye in recreational fisheries, and daily bag restrictions on the number of fish greater than a certain length (e.g., 559 mm) have been used in subsistence fisheries for the same reason. Given current angling regulations, subsistence fisheries targeting recently maturing walleye, and knife-edge vulnerability, no harvest slot length limits may do little to protect longer females within walleye populations. Minimum length limits are enacted to limit exploitation, as are daily bag and possession limits. Nevertheless, daily bag limits may be ineffective for reducing exploitation in open access fisheries subject to high angler effort and low regulatory compliance (
Sullivan 2002). This is particularly true for walleye fisheries where catch and harvest rates in angling and subsistence fisheries have been shown to be hyperstable across a range of adult stock sizes and productivities (
Hansen et al. 2005;
Mrnak et al. 2018,
2024;
Mosley et al. 2022). Likewise, possession limit infractions may be difficult to enforce given that “just cause” or “reasonable doubt” is often required, and conservation officer funding and personnel are often limited in waterbody-rich landscapes.
Length, bag, and possession limits may be providing little protection to walleye populations struggling with inconsistent natural recruitment. Current policies have and will likely continue to lead to diminished adult population abundance and production (
Hansen et al. 2015;
Rypel et al. 2018;
Embke et al. 2019;
Mrnak et al. 2024), even with intensive walleye stocking and rehabilitation efforts (
Lawson et al. 2022;
Sass et al. 2022a;
Elwer et al. 2023). I propose that input controls should be more stringent in declining walleye populations with inconsistent natural recruitment or perhaps for all walleye populations within a region given current and projected walleye natural recruitment, adult abundance, and production trajectories. At the least, management agencies may consider ≥457 mm minimum length limits and reductions in daily bag (≤3 fish/day) and possession limits to further reduce exploitation and be protective of adult fish. Although adult stock size has been shown to be a weak predictor of age-0 walleye recruitment, zero adults equal zero recruits. Further, reductions in adult walleye stock size >0 may lead to depensatory recruitment (i.e., ecological tipping point, increased probability of population collapse without intervention) and adult abundance thresholds for depensation likely differ among walleye populations (
Sass et al. 2021;
Dassow et al. 2023) (
Fig. 3). Stocking interventions to maintain adult walleye abundance above depensatory thresholds have shown little promise for rehabilitating natural recruitment and sustaining populations (
Grausgruber and Weber 2021a,
2021b;
Sass et al. 2021;
Lawson et al. 2022;
Dassow et al. 2023;
Elwer et al. 2023). In struggling walleye populations, more conservative harvest regulations afford mature fish multiple opportunities to spawn. Anecdotal management of walleye through observations of a “good” year class every 4–5 years to support a fishery is unreliable (
Rypel et al. 2018), and abiotic drivers of recruitment are changing and more variable. Given this, the only recourse is to give mature fish more opportunity for a “match” in recruitment by further reducing exploitation rates (
Feiner et al. 2022a;
Barta et al. 2024).
Stocking
Walleye have a long history of being stocked into waterbodies with natural recruitment, to introduce walleye to create self-sustaining populations (
Sass et al. 2022a), and for put–grow–take fishing opportunities. Hatchery products have typically consisted of fry (stocked shortly after eye up), small fingerlings (stocked in mid-summer), and more recently large fingerlings (stocked in fall). Due to reduced production costs and number, fry and small fingerlings were more commonly stocked in early attempts—and still are to create stocked year classes (i.e., overwhelm a system with high numbers of stocked walleye to create a year class despite high mortality). Due to variable success of fry and small fingerling stockings, large fingerling stockings have been more recently favored based on the assumption of greater survival, contribution to stocked year class strength, and a higher probability of re-establishing natural recruitment in formerly naturally reproducing populations (
Grausgruber and Weber 2021a,
2021b;
Lawson et al. 2022;
Sass et al. 2023;
Elwer et al. 2023). Large fingerlings have been presumed to have a higher probability of overcoming fry and small fingerling recruitment bottlenecks (i.e., density-dependent mortality) (
Boehm 2016;
Gostiaux et al. 2022) despite the higher cost of production (
Elwer et al. 2023).
Walleye stocking has rarely contributed meaningfully to walleye population establishment and natural recruitment in recent times (
Embke et al. in review). In the mid-1900s, walleye stocking was able to create walleye fisheries in some systems, and even natural recruiting populations that persist to this day (e.g., Escanaba Lake, Wisconsin;
Sass et al. 2022b). Many of these populations were also ones that showed minor and short-term periods of walleye natural recruitment, were then categorized as lakes managed for walleye, and are now subject to legacy effects by rights holders, anglers, stakeholder groups, and management agencies as “walleye lakes”. Systems such as Escanaba Lake are the anomaly, not the norm. Legacy influences thus dictate continued stocking and walleye management to appease rights holder, angler, and stakeholder group desires when these lakes may not have been “walleye lakes” to begin with (
Kitchell et al. 1977;
Raabe et al. 2020;
Dassow et al. 2022), and the long-held management panacea of stocking by these groups and the funding to drive hatchery infrastructure (
Arlinghaus et al. 2022;
Radinger et al. 2023). The scientific literature has clearly shown that walleye stocking has often failed to reach lofty goals of establishing naturally reproducing populations or supplementing such populations. Stocking has achieved low abundance, “fishable” populations, and many agencies continue stocking to support these low-density walleye fisheries to meet fisher desires under the guise of population sustainability or re-establishing natural reproduction. Future research should identify lakes with native walleye populations. In north-central North America, these would be walleye native to lakes following the last glaciation about 10 000 years ago. Lake sediment coring and environmental DNA sampling holds promise for determining lakes with native walleye populations. Identification of native walleye lakes may help managers allocate limited resources and set expectations for tribal members, anglers, and stakeholder groups about lakes incapable of supporting walleye populations or natural recruitment, along with other fish-based lake classification systems and decision–support tools (
Rypel et al. 2019;
Dassow et al. 2022).
Recent empirical evidence suggested that ecosystem-based fisheries management outperformed stocking for influencing fish production (
Radinger et al. 2023). Walleye stocking has consistently failed to enhance year class strength in natural reproducing populations (
Li et al. 1996) and to re-establish natural reproduction (
Rypel et al. 2018) even in populations predicted to have the highest probability of supporting natural recruitment (
Hansen et al. 2015a;
Elwer et al. 2023). Numerous issues have also resulted from stocking, including genetic introgression and loss of local adaptation (
Lorenzen 2014;
Bootsma et al. 2021), poor survivorship due to difficulties transitioning to the natural environment (
Grausgruber and Weber 2021a) and transport stress (
Grausgruber and Weber 2021b), high cost per individual to harvestable age (
Elwer et al. 2023), and skewed sex ratios towards females in large fingerling walleye (
Sass et al. 2022a). Despite efforts to increase survivorship of the stocked product by raising longer walleye or attempts to engineer a stocked walleye year class by overwhelming a system with tens of millions of walleye fry, stocking outcomes have still shown poor performance leading to low density walleye populations of poor fishing quality or harvest opportunity or predefined goals of put–grow–take fisheries. Given the lack of success of walleye stocking, conservation of existing naturally recruiting walleye populations is paramount to allow for alternative management to preserve remaining populations.
Stocking and rehabilitation efforts have been used in an attempt to increase walleye population resilience, although not explicitly for this purpose or in those terms (
Fig. 3). Instead of consistently exploiting walleye populations, especially given improving fishing technologies (
Feiner et al. 2020b;
Cooke et al. 2021; but see
Neely et al. 2023), exploitation should be reduced to decrease the probability of walleye populations crossing an ecological tipping point or depensatory threshold (
Figs. 3 and
4). Responsible management to conserve imperiled fisheries resources is to relieve pressure and stressors on those populations. Important levers in addition to conservative harvest regulations and stocking that could be used to increase walleye population resilience include limiting effort, gear restrictions (
Bailey et al. 2019), and the promotion of catch-and-release in angling fisheries. In dire conservation situations, seasonal closures could be extended to limit or eliminate directed walleye effort during vulnerable periods because angler and tribal (spring) effort track these seasonal vulnerabilities (
Sass et al. 2023). Likewise, catch-and-release could be promoted for walleye, although this may have consequences for growth, recruitment, and angler desires of trophy potential (
Haglund et al. 2016;
Sass and Shaw 2020). Collectively, compromise and buy-in for walleye conservation by anglers, rights holders, and stakeholder groups, and more aggressive approaches may be needed to avoid crossing depensatory thresholds for walleye and other exploited fisheries (
Fig. 4). The alternatives risk depensation, lack of population recovery, and population extirpation (
Fig. 4). Some researchers and managers relying on traditional single-species management tenets of compensatory fisheries resources have postulated that reducing harvest may result in wasted surplus production ending in unnecessary natural mortality (
Radomski 2022). For walleye, the scientific evidence suggests that we are well beyond the assumption of compensation (
Fig. 4). A loss of limited surplus production to anglers and tribal members in some fisheries and reductions in harvest seem a small price to pay for species conservation.
Walleye exploitation
Walleye management in joint tribal subsistence (i.e., spearfishing and gill netting) and recreational angling fisheries generally consist of a combination of closed seasons, output controls, and harvest quotas in the case of tribal subsistence fisheries (
U.S. Department of the Interior 1991) (
Fig. 2). Seasonal closures are aimed to protect walleye during vulnerable periods (e.g., late winter–early spring,
Sass et al. 2023), and angler regulations and tribal harvest quotas are used to manage exploitation rates to a level commensurate with long-term population sustainability. Often, “sustainable” exploitation rates are used to set a limit reference point exploitation rate that should not be frequently exceeded (
Staggs et al. 1990;
Hansen et al. 1991;
Sass et al. 2004;
Tsehaye et al. 2016). Such walleye management systems rely upon a compulsory creel census of tribal subsistence harvest and point-intercept angler creel surveys and mark–recapture population estimates to determine annual recreational angler exploitation rates to assure non-exceedance of the limit reference point exploitation rate. In the joint walleye fishery in the Ceded Territories of Wisconsin, the limit reference point exploitation rate is 35% of an adult population, with safety factors used to reduce exploitation depending on the length of time since the last mark–recapture population estimate for a population (
Hansen et al. 1991). Three years after a mark–recapture population estimate, a lake area–walleye abundance relationship was formerly used to estimate a safe harvest quota in the tribal subsistence fishery, and angler daily bag limits were negatively correlated with tribal harvest (e.g., 5, 3, 2 walleye/angler/day) (
Nate et al. 2000;
Beard et al. 2003). Angler regulations also included a 381 mm minimum length limit in most cases. Given downward trajectories in walleye natural recruitment and adult abundance, recent adjustments have made to this management system to reduce exploitation rates. Currently, the limit reference point exploitation rate remains 35% of an adult population. Tribal subsistence harvest quotas are now based on a mixed model ≥3 years post a mark–recapture population estimate, and angling regulations generally consist of a 381 mm minimum length limit, 508 – 610 mm protected no harvest slot length limit, and a daily bag limit of three walleye with only one walleye ≥610 mm allowed to be harvested (
Hansen et al. 2015b). These changes were made to provide greater harvest opportunity and equity in the tribal subsistence fishery, to reduce recreational angling exploitation rates, and to increase the proportion of longer females in a population. Last, a pulse fishing rule is in place within the tribal subsistence fishery such that tribal quotas alternate between ≤95% and ≤60% of safe harvest between years. This joint management system is heavily reliant upon the assumption of 35% of the adult walleye population being a sustainable, long-term exploitation rate and consistent natural recruitment. If these assumptions are not met, there is a high likelihood for walleye population decline. In other joint walleye fisheries such as those in Minnesota, output controls are also used in the recreational fishery; however, tribal harvest quotas are based on biomass, and in some cases (e.g., Mille Lacs), additional seasonal closures may be enacted on the recreational fishery. Under these current joint walleye management systems, I question what may happen when traditional assumptions of fisheries management do not hold and propose alternatives to manage these joint fisheries in the face of declining natural recruitment and walleye abundances.
Three common assumptions in joint walleye management systems are (1) a stable, sustainable exploitation rate; (2) consistent natural recruitment (i.e., compensation); and (3) that tribal subsistence and recreational angling exploitation influence walleye populations the same way. In the Ceded Territories of Wisconsin, the 35% limit reference point exploitation rate was established from long-term compulsory creel census data from unregulated walleye recreational fishing (i.e., no minimum length limit, no bag limit, no closed season) on Escanaba Lake, Vilas County, Wisconsin (
Sass et al. 2022b). During the mid-1950s–mid-1980s, the walleye population in Escanaba Lake was sustainable under an average exploitation rate of 35% in the recreational fishery, and this was used to establish the limit reference point exploitation rate in the Ceded Territories of Wisconsin joint walleye management system. Escanaba Lake was not subject to tribal subsistence exploitation during this period. Escanaba Lake's walleye population was assumed to be representative of all walleye populations in northern Wisconsin. Given this assumption and recent declines in walleye natural recruitment and population abundances, the 35% limit reference point exploitation rate has been questioned and several experimental, empirical, and modeling studies have been conducted to estimate a sustainable exploitation rate representative of most walleye populations.
Based on growing degree days in northern Wisconsin,
Lester et al. (2014) predicted that a sustainable annual walleye exploitation rate would be about 20%, although growing degree days in Wisconsin are increasing due to climate change (
Hansen et al. 2017). Using walleye production estimates,
Rypel et al. (2015) suggested that a 20% exploitation rate equated to average harvest of annual walleye production in Escanaba Lake during 1965–2009. In
Rypel et al. (2015), 35% annual exploitation would on average harvest 37% more than annual production, which should theoretically result in a decline in the walleye population. Using a statistical catch-at-age model,
Tsehaye et al. (2016) estimated that an exploitation rate of about 20% would be appropriate to meet management goals of adult abundance ≥7.4 adults/ha for a general walleye lake in the Ceded Territories of Wisconsin. In contrast,
Schueller et al. (2008) predicted that walleye populations could sustain 60%–85% annual exploitation; however, the unfished equilibrium biomass used in the model was unrealistically high. Experimental exploitation rate studies on Big Crooked Lake, WI (35% annual exploitation;
Sass and Shaw 2018) and Sherman Lake, WI (50% annual exploitation;
Sass et al. 2022c) suggested that these exploitation rates were sustainable over a 10-year period for these naturally recruiting populations; however, other walleye population demographic changes were observed. In
Rypel et al. (2015),
Sass and Shaw (2018), and
Sass et al. (2022c), the key to long-term sustainability under these exploitation rates was consistent natural recruitment and elevated survivorship of age-0 and age-1 fish. These walleye populations may be the anomaly given long-term natural recruitment declines observed in other midwestern walleye populations. As such, limit reference point exploitation rates should likely be more conservative and representative of most walleye populations (≤20%) (
Tsehaye et al. 2016). Further, limit reference point exploitation rates should be consistently and iteratively revisited to make necessary adjustments based on available data and walleye population status and trends. Current Ceded Territories of Wisconsin walleye exploitation rates in the joint fishery rarely exceed 35% and average about 11%–14% per year. Nevertheless, ≥20% is exceeded much more frequently than 35%. My perspective and review suggest that the limit reference point exploitation rate should be ≤20%. And, perhaps even more stringent if walleye natural recruitment continues to decline (
Rypel et al. 2018) because depensatory thresholds likely differ among individual walleye populations (
Fig. 3).
Rypel et al. (2018) suggested that Ceded Territories of Wisconsin walleye exploitation rates may be consistently exceeding annual production based on significant declines in biomass, production, and production:biomass ratios (i.e., population replacement rate) over time. These findings were commensurate with consistent annual exploitation rates of walleye populations with a diminished capacity to replace biomass through natural recruitment or stocking. Theoretically, such harvest management would result in reduced adult population abundance with declining natural recruitment. An experiment on Escanaba Lake is currently ongoing to test for the effects of 10 years of annual 150% production exploitation to test for walleye population demographic, natural recruitment, and adult abundance responses (
Sass et al. 2022b). This experiment includes tribal subsistence harvest based on the current management system and recreational angler exploitation using the current Ceded Territories of Wisconsin general walleye harvest regulations (381 mm minimum length limit, 508–610 mm protected no harvest slot length limit, daily bag limit of three fish with only fish ≥610 mm) (
Sass et al. 2022b). Taking this a step further,
Embke et al. (2019) and
Mrnak et al. (2024) used walleye production and yield:production ratios to confirm that production overharvest was occurring on some Ceded Territories of Wisconsin walleye populations. The findings of
Tsehaye et al. (2016),
Rypel et al. (2018),
Embke et al. (2019),
Sass et al. (2021), and
Mrnak et al. (2024) suggest and support that walleye lakes have different productive capacities (
Ryder 1965), which may necessitate population-specific harvest management for sustainability (
Fig. 3). Unfortunately, population-specific management is difficult, given the number of walleye lakes in the midwestern United States and Canada and regulation complexity is unpalatable to many anglers and tribal members. An alternative is to manage all walleye populations in the joint fishery precautionarily by reducing the current limit reference point exploitation rate to ≤20%, with continued fisheries-dependent and -independent monitoring to inform whether further limit reference point exploitation rate reductions are warranted to sustain remaining walleye populations. Another alternative would be to manage joint fisheries resources based on yield:production ratios to ensure that ≤ annual production is harvested. Again, this would not likely be feasible for individual lake walleye management. Moving forward, the most precautionary approach appears to be a reduction in the limit reference point exploitation rate, consistent monitoring, and annual evaluations of yield:production ratios. Collectively, this management approach should serve to reduce walleye exploitation rates and allow for responsive adjustments should walleye natural recruitment, adult population abundance, and productivity continue to decline.
Factors negatively influencing walleye populations
Many compounding and interacting factors have been implicated in walleye natural recruitment and population declines (
Fig. 2). These stressors can be categorized as slow-moving environmental or unmanageable (
Carpenter et al. 2017), abrupt or increasingly variable, harvest or fisher-related, and ecosystem-based (e.g., fish community, food web). Regardless of the stressors or their interactions, these variables are negatively influencing walleye natural recruitment and challenging the persistence of walleye populations. Walleye are no longer the dominant species in many former populations, which can lead to positive feedback loops being reinforced to suppress walleye populations, increase the probability of crossing a depensatory threshold, and challenge re-establishment of dominance (
Sass et al. 2021;
Dassow et al. 2023).
Slow-moving environmental or unmanageable drivers (
Carpenter et al. 2017) include climate change, lake warming, and loss of suitable thermal–optical habitat for walleye. Climate change (i.e., increases in growing degree days) and lake warming have been consistent predictors implicated in walleye natural recruitment declines (
Hansen et al. 2017;
Dassow et al. 2022;
Feiner et al. 2022a). Increases in growing degree days have also been predicted to favor warmwater centrarchids (e.g., largemouth bass, black crappie, bluegill) over coolwater fishes such as walleye (
Hansen et al. 2017,
2018;
Broda et al. 2022;
Embke et al. 2022;
Zebro et al. 2022). The interaction of climate change, lake warming, and centrarchid relative abundances have been linked to a higher probability of depensatory recruitment dynamics in walleye (
Sass et al. 2021;
Dassow et al. 2023). Loss of suitable thermal–optical habitat for walleye through climate change has also been suggested to negatively influence walleye natural recruitment and population abundance (
Lester et al. 2004;
Mahlum et al. 2023). Nevertheless, empirical tests of thermal–optical habitat change and influences on walleye populations have been mixed. Minnesota lakes have shown increases and decreases in walleye thermal–optical habitat over time, with potential negative effects suggested for small length classes of walleye (
Mahlum et al. 2023).
Vasquez (2024) and
Michels (2024) did not observe a strong influence of thermal–optical habitat influencing in situ walleye habitat use and growth of age-0 walleye, respectively. Slow environmental variables are often unmanageable in the short term; thus, actions within managerial control are needed to offset or slow negative influences associated with these drivers of walleye population change (
Carpenter et al. 2017).
Abrupt or highly variable stressors include lakeshore residential development, land use change, and phenological variability associated with climate change (
Fig. 2). Lakeshore residential development and the intensification of the riparian footprint associated with the colonization of lakeshores by humans has negatively influenced lake ecosystems and fish communities in numerous ways. Lakeshore residential development has been associated with the loss of coarse woody habitat (CWH) and allochthonous sources of energy to lakes (e.g., CWH, leaf litter) (
Christensen et al. 1996;
Francis and Schindler 2006;
Marburg et al. 2006). Allochthonous sources of energy dictate fish community productivity in many north-temperate lakes (
Pace et al. 2004;
Wilkinson et al. 2013;
Sass et al. 2019), and walleye biomass, productivity, and production:biomass ratios have declined significantly over time in northern Wisconsin lakes (
Rypel et al. 2018). Lakeshore residential development and land use change can also cause a transition from natural allochthonous inputs driving food webs and water quality to those dominated by excess nutrient loading and autochthony. Eutrophication may negatively influence walleye populations through lake warming and loss of suitable dissolved oxygen concentrations. Phenological variability due to climate change in north-temperate lakes (e.g., more variable ice dynamics) has also been shown to negatively influence walleye recruitment (
Feiner et al. 2022a;
Barta et al. 2024). Higher age-0 walleye recruitment to the first fall has been associated with long-term average ice out dates; deviations from the long-term average have resulted in poorer age-0 year classes. Climate change influences are often studied as linear increases in temperature predicted over time. For walleye, it appears that directional climate change may be less important to walleye natural recruitment compared to the recent high variability observed in ice dynamics (
Feiner et al. 2022a;
Sass et al. 2022b;
Barta et al. 2024). Phenological variability therefore has the potential to lead to a greater frequency of “mismatches” negatively influencing walleye natural recruitment. Although phenological variability is an abrupt change associated with the slow-moving driver of climate change, managers may have some influence on lakeshore residential development and land use change negatively influencing walleye habitat. For example, the ecological footprint of lakeshore residential development could be managed to allow for allocthonous inputs of energy from riparian zones, and watershed management could consider land use change that may negatively influence walleye or cool and coldwater species habitat (
Tingley et al. 2019). Overall, a species cannot persist without suitable habitat (
Sass et al. 2017).
A common theme in fisheries management is that exploited fisheries can be considered compensatory resources if managed properly. Traditional fisheries management assumes that controlling exploitation rates through input and output controls and compensatory natural recruitment will allow populations to consistently recover and provide harvest opportunities. Traditional assumptions have been challenged in many ways by not accounting for angler effort dynamics, failures of input and output controls to regulate exploitation, declines and failures in natural recruitment, and the reality of depensation (
Post 2013). If traditional fisheries management tenets and assumptions held, exploited fisheries would have a low probability of crossing a depensatory threshold and collapsing. Walleye populations have collapsed and are therefore not immune to traditional single-species fisheries management approaches, which have commonly been used to manage the species. Recent identification of walleye production overharvest (
Embke et al. 2019) and depensatory recruitment dynamics (
Post et al. 2002;
Sass et al. 2021;
Cahill et al. 2022;
Dassow et al. 2023) foreshadow issues in traditional single-species management approaches that remain rigid to changing walleye population productivity and environmental stressors. Exploitation rates have remained consistent or increased over time, yet production has declined because of natural recruitment declines and the inability of stocking to replenish walleye stocks. Production overharvest will reduce adult walleye population abundance, as evidenced in the Ceded Territories of Wisconsin and other walleye fisheries (
Post et al. 2002;
Hansen et al. 2015;
Pedersen et al. 2018;
Rypel et al. 2018;
Embke et al. 2019;
Cahill et al. 2022). In turn, reductions in adult abundance increase the probability of a depensatory threshold being crossed, leading to population collapse (
Sass et al. 2021;
Dassow et al. 2023) (
Fig. 3). And, exploitation is just one of several factors that may be negatively influencing walleye population sustainability in addition to slow-moving or unmanageable, abrupt or highly variable, and (or) ecosystem-based drivers (
Fig. 2).
Ecosystem-based stressors such as species interactions and food web dynamics are also negatively influencing walleye populations (
Fig. 2). Of particular importance are aquatic invasive species introductions, fish community composition shifts, angler behaviors, and single-species management in multi-species fisheries. These drivers are integrally linked to ecosystem-based fisheries management and human dimensions of fisheries, and appear to be interacting to create conditions that are inhibiting cultivating influences to promote the persistence of walleye.
Invasive species have had profound effects on native fishes and food webs, and walleye are no exception. Introductions of invasive rainbow smelt (
Osmerus mordax (Mitchill)) to inland lakes have often resulted in the loss of walleye natural recruitment, with subsequent extirpations of walleye populations in the absence of intervention (
Mercado-Silva et al. 2007;
Mrnak et al. 2023). Spiny water flea (
Bythotrephes logimanus Leydig) and zebra mussels (
Dreissena polymorpha (Pallas)) have also changed water quality conditions and food web interactions potentially to the detriment of suitable walleye habitat (
Hansen et al. 2019,
2020;
Honsey et al. 2020). Prevention of new introductions and invasive species eradication/control efforts (
Gaeta et al. 2015;
Mrnak et al. 2023) will be paramount to the sustainability of native species, including walleye.
Climate change and angler behaviors appear to be benefiting warmwater species in lieu of north-temperate fish communities being dominated by cold and coolwater species such as walleye. Abundance increases of black crappie, bluegill, bullheads, and largemouth bass have been observed or predicted to be detrimental to walleye populations through potential competition and predation. A negative relationship has been observed between black and white crappie (
Pomoxis annularis Rafinesque) relative abundance and age-0 walleye recruitment (
Quist et al. 2003;
Broda et al. 2022). Extensive bullhead removals on several northern Wisconsin lakes increased walleye natural recruitment and adult abundances (
Sikora et al. 2021). Increases in largemouth bass abundances have been related to declines in walleye natural recruitment (
Hansen et al. 2015). Predictions of largemouth bass abundance increases with climate change further exacerbate negative interactions between these species (
Hansen et al. 2017,
2018), and whole-lake removals of centrarchids may be insufficient to restore walleye natural recruitment in the short term (
Embke et al. 2022). Re-establishment of walleye natural recruitment and fish community dominance appear even more daunting given differences in angler behaviors between fish species, namely, the harvest-oriented nature of walleye fisheries and the increasing prevalence of voluntary-release fisheries for the black basses and panfish such as black crappie and bluegill (
Sass and Shaw 2020;
Sass et al. 2023).
Despite declines in walleye abundance, walleye angling and tribal subsistence fisheries remain harvest-oriented (
Gaeta et al. 2013;
Hansen et al. 2015). Angling fisheries for co-occurring species like the black basses and muskellunge (
Esox masquinongy Mitchill) are now predominantly catch-and-release (
Allen et al. 2008;
Gaeta et al. 2013;
Hansen et al. 2015;
Gilbert and Sass 2016;
Eslinger et al. 2017;
Hessenauer et al. 2018;
Shaw et al. 2019;
Sass and Shaw 2020). Black crappie and bluegill anglers are also becoming more catch-and-release-oriented (
Sass et al. 2023) due to desires of higher population size structure and concerns of high exploitation rates during spring spawning (
Rypel 2015). Management agencies have responded by enacting more conservative harvest regulations on panfish populations such as those in Wisconsin. Catch-and-release practices may result in greater abundances of the black basses, muskellunge, and panfish regardless of harvest regulations, which may be a detriment to walleye population dominance and sustainability. This means that species-specific management goals and angler behaviors in fisheries managed for multiple species may be pitting regulations and angler behaviors against the harvest-oriented nature of walleye fisheries necessitating an ecosystem-based fisheries management approach that considers species interactions, food web effects, and angler desires.
Given the popularity of recreational angling walleye fisheries and tribal subsistence needs, one approach to balance diverse angler desires is “buffet-style” management (
van Poorten and Camp 2019) in lake-rich regions. Here, ecosystem-based fisheries management would be used to manage the most productive and exploitation resilient systems suited for walleye specifically for walleye in lieu of other desired species (
Rypel et al. 2019;
Tingley et al. 2019;
Dassow et al. 2022). Alternatively, non-walleye lakes would be managed specifically for species best suited for available within-lake habitat (
Rypel et al. 2019;
Tingley et al. 2019;
Dassow et al. 2022). This also acknowledges that former “walleye lakes” may transition to non-walleye lakes under climate change, thus requiring anglers, tribal subsistence fishers, and stakeholder groups to inevitably accept this change (
Feiner et al. 2022b;
Shultz et al. 2022). Using this framework, regulations would be species-specific, but would fully acknowledge that trying to manage individual species for certain goals within multi-species fisheries would be difficult and not likely beneficial to walleye. Liberal harvest regulations could also be enacted on alternative species in walleye lakes, although social norms of voluntary catch-and-release may render these liberal regulations ineffective without a change in angler behavior and increased harvest rates (
Miranda et al. 2017;
Hessnauer et al. 2018;
Sass and Shaw 2020).
Depensation
Depensation or positive density dependence is reduced juvenile survival at low adult stock sizes and can be caused by several factors (e.g., fish behavior, angler behavior, management initiatives, food web alterations) (
Ricker 1954,
1963;
Liermann and Hilborn 1997,
2001;
Walters and Kitchell 2001;
Post et al. 2002;
Hilborn et al. 2014;
Sass et al. 2021;
Dassow et al. 2023). Depensation can also extend to reduced juvenile survival rates at low age-0 stock size (
Zebro et al. 2022). Depensation (i.e., crossing an ecological tipping point or positive biomass threshold) can result in population collapse or slow recovery after the reduction or elimination of harvest due to proposed mechanisms, including (1) reduced probability of fertilization; (2) impaired group dynamics; and (3) conditioning of the environment (i.e., cultivation effects) (
Liermann and Hilborn 2001;
Walters and Kitchell 2001;
Sass et al. 2021;
Dassow et al. 2023). Depensation contrasts the long-held theoretical ecological population growth and compensation paradigms (i.e., higher juvenile survivorship at low adult stock sizes or negative density dependence) of populations at low stock sizes. Depensation was anecdotally implicated for the “invisible collapse” of Alberta, Canada walleye fisheries (
Post et al. 2002;
Cahill et al. 2022) and empirically observed for northern Wisconsin walleye populations (
Sass et al. 2021;
Dassow et al. 2023) (
Fig. 4). For Alberta walleye, the “invisible collapse” was attributed to high angler effort on limited walleye population resources (
Post et al. 2002,
2008;
Post 2013). In extension, hyperstability in catch rates and (or) anglers not leaving a fishery despite reduced catch rates were likely responsible.
In Wisconsin, depensatory recruitment dynamics and population declines have been attributed to climate change (
Hansen et al. 2017,
2018), production overharvest (
Embke et al. 2019), invasive species (
Mercado-Silva et al. 2007), habitat loss (
Sass et al. 2017), angler behavior and single-species management (
Hansen et al. 2015;
Sass and Shaw 2020), changes in fish community composition (
Hansen et al. 2017,
2018;
Sikora et al. 2021;
Broda et al. 2022;
Embke et al. 2022), and their interactions (
Dassow et al. 2023). For Wisconsin walleye, these factors are likely leading to depensation due to a loss of cultivation influences of walleye populations at higher abundances (
Dassow et al. 2023). After the “invisible collapse” in Alberta, some walleye fisheries recovered over time following fishery closure and stringent regulations, although some populations did not (
Cahill et al. 2022). Conservative harvest regulations were rapidly implemented once the issue was identified, and stocking was not a component of rehabilitation efforts in Alberta. Despite clear evidence of walleye natural recruitment and population declines in Wisconsin, self-sustaining populations have continued to be lost over time. Current Wisconsin walleye rehabilitation efforts using conservative harvest regulations, compromise between anglers and tribal subsistence fishers, and stocking have largely been unsuccessful in re-establishing natural recruitment (
Embke et al. in review). Alberta walleye fisheries likely recovered and avoided depensation in some cases due to a rapid management response once the issue was identified, low species diversity fisheries, availability of suitable habitat, the lack of reliance on stocking, reduced exploitation, and adult stock sizes not dipping below a critical depensatory threshold. Wisconsin walleye rehabilitations may be more challenging due to competing interests of stakeholders of walleye fishery resources, lakeshore residential development and land use change influences on within-lake habitat, greater fish species diversity, lack of food web effects acknowledgement in multi-species fisheries primarily managed with single-species management, and insufficient reductions in angler and tribal subsistence exploitation.
Despite walleye population declines, walleye angling popularity remains high and tribal subsistence needs have become greater over time. Although equity has been a major focus of management efforts in joint walleye fisheries, more conservative harvest regulations in the angling fishery and small reductions in exploitation rates have been countered by increasing tribal subsistence needs. Therefore, total exploitation in the joint fishery has not been reduced or offset despite declining walleye resources. This can result in production overharvest, where harvest exceeds annual production, which is further exacerbated by natural recruitment declines (
Embke et al. 2019). Stocking has been ineffective for completely filling this natural recruitment void (
Elwer et al. 2023). Collectively, these dynamics, policies, and desires set the stage for an increased probability of depensatory recruitment dynamics. Even more troubling is the fact that adult stock size critical depensatory thresholds likely differ among walleye populations (
Fig. 3). Therefore, the only responsible, precautionary, and logical pathway to prevent or reduce the probability of depensation is to drastically reduce walleye exploitation rates (
Rypel et al. 2015;
Tsehaye et al. 2016;
Carpenter et al. 2017;
Embke et al. 2019;
Mrnak et al. 2024). That said, this requires that natural recruitment declines are wholly, partially, or interactively associated with high exploitation rates. Unfortunately, it may not be as simple because other drivers are negatively influencing walleye populations, delaying recovery, and working against walleye due to environmental change. Preventing continued walleye declines, and avoiding depensatory thresholds likely requires identifying limiting factor(s) leading to natural recruitment issues and setting the ecological stage to create cultivating conditions for walleye prior to injecting management actions. Cultivating conditions to favor walleye should be considered if they are the species most desired by anglers and tribal subsistence fishers with the understanding that other desirable fish species may not benefit under an ecosystem-based fisheries management framework (
Radinger et al. 2023). Although many factors negatively influencing walleye are out of managerial control (
Carpenter et al. 2017), those in managerial control such as harvest regulations, habitat conservation and enhancement, some aspects of angler effort, and stocking are. Even though adult stock size has been a poor predictor of walleye recruitment (
Madenjian et al. 1996;
Hansen et al. 1998;
Beard et al. 2003;
Tsehaye et al. 2016;
Shaw et al. 2018;
Feiner et al. 2019;
Krabbenhoft et al. 2023), zero adults equal zero recruitment. Thus, conservation of walleye populations through reduced exploitation is important and stocking may not lead to favorable outcomes or recovery for many reasons. Here, ecosystem-based fisheries management may be critical compared to the management panacea of stocking (
Arlinghaus et al. 2022;
Radinger et al. 2023). Although limited empirical evidence exists for depensation (but see
Sass et al. 2021), it is a mechanism by which species or populations go extinct or become extirpated. Although compensation is not infinite, and overharvest can cause a fish population to collapse without depensation, depensatory processes create a positive biomass threshold below which the production–harvest dynamics must result in extirpation (
Fig. 1).