Next Article in Journal
Effects of Soil, Light, and Temperature on Freshwater Tannin Concentrations
Previous Article in Journal
Immunohistochemical Localization and Expression of Aquaporin 3-2 (AQP3C1) in the Spiny Dogfish, Squalus acanthias
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Growth and Diet of Northern Pike (Esox lucius) in Boreal Lakes: Implications for Ecosystem Management

1
Department of Ecology and Evolutionary Biology, University of Toronto, 25 Willcocks St. A, Toronto, ON M5S 3B2, Canada
2
Fisheries and Aquatic Conservation Laboratory, Faculty of Agricultural, Life and Environmental Sciences, University of Alberta, 433 South Academic Building, Edmonton, AB T6G 2J7, Canada
3
Department of Biological Sciences, University of Manitoba, 501 University Crescent, Winnipeg, MB R3T 2N6, Canada
4
Matrix Solutions Inc., 5083 Windermere Blvd SW Suite 200, Edmonton, AB T6W 0J5, Canada
5
Toronto and Region Conservation Authority, 101 Exchange Ave, Concord, ON L4K 5R6, Canada
*
Author to whom correspondence should be addressed.
Hydrobiology 2025, 4(1), 1; https://doi.org/10.3390/hydrobiology4010001
Submission received: 16 November 2024 / Revised: 12 December 2024 / Accepted: 15 December 2024 / Published: 2 January 2025

Abstract

:
An important top-down predator, the northern pike (Esox lucius), faces harsh environmental conditions in the northern boreal ecoregion. They are often managed for recreational fishing and, more recently, to create environmental offsets; strategies aimed at balancing ecological impacts by enhancing or restoring habitats. Our study examines northern pike populations in two remote boreal lakes in northern Alberta: Steepbank and Wappau. The lakes differ in size, vegetation cover, and trophic status, providing a natural experiment for investigating northern pike growth, condition, diet, and population density. Over three years (2018–2020), northern pike were sampled using gill nets. Population metrics, including growth, condition, and stomach contents, were compared between the lakes. Steepbank, a smaller, oligotrophic lake with low vegetation cover, showed lower prey fish densities compared to the larger, eutrophic Wappau, but it did not differ in northern pike catch per unit effort. Growth rates and body condition varied significantly between the lakes, with the northern pike in Wappau exhibiting faster growth and a better condition in the older age groups, while the younger northern pike in Steepbank had higher relative weights. A diet analysis revealed significant differences in prey consumption: Steepbank northern pike displayed higher rates of conspecific predation and invertebrate consumption, particularly in the younger age classes. These findings highlight how lake characteristics and prey availability shape northern pike population dynamics, offering valuable insights for lake management approaches in northern Alberta.

1. Introduction

Freshwater species are in decline globally, with one in three species being listed as threatened [1,2,3,4,5]. These declines are attributed to various anthropogenic and environmental stressors, ranging from eutrophication to loss of genetic diversity and competition with non-native species [2,3,6,7]. Individual stressors can interact with each other creating feedback loops and background processes, like climate change, can enhance stressors further [3,8]. Habitat loss and degradation is commonly regarded as the most pressing issue for many species [9,10]. Conservation and management frameworks have been implemented in many countries and through cross-boundary treaties to counter freshwater biodiversity declines, as well as to manage aquatic resources and ecosystem services [11,12,13,14]. Frameworks can be aimed at requiring development proponents to mitigate impacts and provide compensatory environmental benefits through offsets [12,15,16]. Other management frameworks are meant to preserve ecosystem services provided by freshwater habitats and species like recreational and sport fishing, using licensing, take limits, habitat restoration and enhancement, and often stocking [17,18,19].
Northern pike (Esox lucius) is one of the most widespread, abundant, and commonly targeted top predators in northern Canada, aside from popular species like lake trout (Salvelinus namaycush) or walleye (Sander vitreus) [20,21,22]. These prolific benthopelagic ambush predators can be found in lacustrine as well as riverine environments, preferring cool to warm waters (17–24 °C) with heavy aquatic vegetation [23,24]. Notably, northern pike growth and body condition are mainly dependent on temperature, water clarity, and prey availability [23,25,26]. The reasons behind stunted growth or low body conditions in pike populations are generally related to overpopulation and consequent competition, a lack of adequately sized prey, thus lowering their energy uptake from smaller prey items, and thermal stress in the absence of summer refugia [26]. However, given their hardiness and generalist piscivore feeding behavior, northern pike can be found in a wide range of habitats aside from their preferred ones [21,25]. Northern pike also show remarkable plasticity in prey choice and size, including consuming aquatic invertebrates, even in their adult stage, and conspecific predation as well as adaptation in high turbidity settings [25,27]. Inherent plasticity and adaptability apply to northern pike in Canada’s northern boreal ecoregion, which contains an estimated 1.5 million lakes, with many northern boreal lakes being small, oligotrophic, and shallow [28]. Overall low productivity, low species richness, long winters, active fire regimes, limited organic input, and low recruitment rates (5.8 pieces of large woody debris per lake per century, e.g., through treefall or storms [29]), distinguish these lakes and resident fish populations from other more productive ones [29,30,31,32,33].
The northern boreal ecoregion of Canada and its freshwater habitats are exposed to both development stress, mainly through resource extraction, and recreational activities including fishing [1,20,34,35]. Approved anthropogenic impacts like logging or mining in the northern boreal ecoregion are often compensated for by creating new lakes either from the ground up or by repurposing mining pits [36]. These newly created ecosystems rely on expert knowledge to ensure trophic and community stability in the long run [36,37,38]. This becomes even more important given the persistent shortcomings of creating physical habitats, with high rates of project failures and uncertainty, and a lack of long-term population stability, with most mitigation policies requiring long-term or in-perpetuity functionality and provision of positive effects for the system or population [15,39,40,41,42,43]. Similarly, managing already existing natural lakes to ensure recreational ecosystem services for anglers will benefit from region-specific insights. Most anglers tend to target larger or trophy fish, which holds important implications for size and take limits for fish populations [44,45]. To advance our understanding of northern pike ecology and adaptation in the northern boreal ecoregion, we investigate northern pike populations and their respective prey choices in two northern boreal lakes in northern Alberta, one oligotrophic (Steepbank) and the other eutrophic (Wappau). Specifically, we have the following hypotheses:
(1)
The growth rates (von Bertalanffy growth parameters) of northern pike will differ between Steepbank and Wappau due to differences in environmental conditions (e.g., lake size, depth, aquatic vegetation, and prey availability).
(2)
Northern pike in Wappau will exhibit a higher relative body condition compared to those in Steepbank due to a more diverse and abundant prey base, based on a prey fish catch.
(3)
Prey selection by northern pike will differ between Steepbank and Wappau, with northern pike in Steepbank relying more on conspecific predation due to limited prey diversity and a potentially lower prey fish catch.
Deepening the understanding of how top predators, like northern pike, behave and fare under different environmental conditions within the context of the northern boreal ecoregion will be of immense help to implement management measures and achieve ecosystem stability with offsets comparable to natural reference lakes, as well as the management recreational fisheries [21,37,40,46].

2. Materials and Methods

2.1. Study Lakes

Steepbank (185.4 ha, max depth 16 m) and Wappau (576.6 ha, max depth 6 m) in northern Alberta are northern boreal lakes with northern pike as the top predator (Figure 1). Steepbank is a shallow, oligotrophic lake with low vegetation cover (6.38%; Braun-Blanquet percent: 6.38% based on 24 littoral plots; Simba 0.3–5; [47]) and a summer thermocline of ~8 m. It has a Secchi depth of 2.25 m and is managed with a limit of one pike >70 cm per angler (Table 1). The fish community includes five species: northern pike, Catostomus commersonii (white sucker), Notropis hudsonius (spottail shiner), Pungitius pungitius (ninespine stickleback), and Culaea inconstans (brook stickleback).
Wappau is larger, with more aquatic vegetation cover (18.04%), and is eutrophic. Its Secchi depth is 1.125 m and northern pike management allows for two fish per day without size limits (Table 1). Its fish community includes seven species. In addition to the fish community in Steepbank, there are Perca flavescens (yellow perch) and Percopsis omiscomaycus (troutperch). Both lakes are remote (Figure 1), with minimal human impact, and are used as models for constructing new lakes for compensatory offsetting in northern Alberta.
Variables such as lake size (ha), maximum depth (m), and mean summer pH are important to consider because they influence habitat availability and water chemistry, both of which can affect predator distribution and abundance [48]. Mean summer temperature (°C, measured at 1 m intervals) can influence predator metabolic rates and prey availability [49,50]. The percentage of littoral aquatic vegetation serves as an indicator of habitat complexity and prey refuge availability, which can affect predator foraging behavior [49,51]. Mean dissolved oxygen (DO) concentration (mg/L) was included because oxygen availability is critical for the survival and activity of aquatic organisms, especially during warmer months [52,53]. Lastly, Secchi depth (m) was used to capture water clarity, which can impact predator–prey interactions by influencing visual hunting efficiency [54]. Collectively, these variables were controlled for given their known relevance to predator ecology, helping to identify potential drivers of differences between the two predator populations.

2.2. Sampling and Study Data

The lakes in this study are routinely sampled by Alberta Environment and Parks (AEP) for walleye (Sander vitreus) and northern pike population monitoring. In August 2018 (13th–24th), 30 northern pike from each lake (n = 60) were netted with multi-mesh gill nets (18 m), set at random locations at depths of ≥2 m, and kept overnight (Research License: RL18-1809). Further sampling occurred in August 2019 and 2020 (14th–24th) using 23 m monofilament multi-mesh gill nets. Gill net meshes knot-to-knot for the sampling period were: 25 mm, 38 mm, 51 mm, 63 mm, 76 mm, 102 mm, 127 mm, and 152 mm; net height: 1.83 m. The use of a multi-mesh design follows standard protocols for community-based fish sampling [55,56] as well as license requirements (Research License: RL19/20-1809). Nets were deployed at depths between 2 and 6.7 m, a range that was chosen to target the primary nearshore habitat of northern pike during summer months [21,25,27,51]. Nets were set for 3 h, in compliance with research license agreements, at similar locations to 2018 to facilitate comparability between years [57].) Northern pike samples collected from Steepbank included n = 13 (2019) and n = 14 (2020), while Wappau provided n = 12 (2019) and n = 13 (2020). Sampling stopped once 12–14 voucher specimens were reached to avoid exceeding mortality limits. Specimens from all years were measured (total and fork length in mm) and weighed (g).
Northern pike CPUE was calculated as the number of pike captured per hour of sampling. Prey fish density (CPUA) was calculated as the number of prey fish per unit area sampled using 50 m seine hauls (n = 5 per year and lake), standardized over 100 m2 of sampled area. Preliminary results indicated no significant differences in within-lake CPUE for northern pike or prey fish CPUA across the sampling years, allowing us to pool the data for each lake over the three years despite variations in net set times [58]. CPUE and CPUA between lakes were compared through Kruskal–Wallis rank sum tests, with eta-squared as effect size measure (η2) and upper bound fixed at 1, which quantifies the proportion of total variance in the response variable explained by the predictor variable [59].

2.3. Age and Growth Analysis

Growth was analyzed using the von Bertalanffy Growth Function for northern pike in both lakes, using length-at-age data from 2018, 2019, and 2020, with age determined through the cleithrum [60,61]. Growth parameters, L∞ (asymptotic length), K (growth rate), and t0 (hypothetical age at zero length), were estimated via non-linear least squares regression [61,62]. Deviations (alpha < 0.05) from expected growth were identified to examine significant differences between the lakes, identifying ages at which growth curves between the two lakes potentially differ (Wilcoxon rank sum test; [63]).

2.4. Condition Analysis

Body condition was assessed using relative weight (Wr), calculated as Wr = W/W′ × 100, where W is the observed weight and W’ is the species-specific standard weight for a given length. Wr values were compared across age groups (2–4, 5–7, and >8 years) and lakes to determine growth efficiency differences [62,64]. Statistical comparisons (ANOVA; eta2 for effect size) were conducted to assess any significant variations in condition between the lakes and age classes.

2.5. Diet and Stomach Contents Analysis

The diet of northern pike was assessed through stomach contents analysis, with samples obtained via dissection, with caught specimen being frozen after capture to preserve stomach and prey integrity. This approach allowed for a comprehensive evaluation of prey composition and feeding behaviors across different age classes and lake environments [65]. For stomach contents analysis, we categorized prey item presence and absence in individual northern pike stomachs into four groups: macroinvertebrates, conspecific northern pike, piscivorous (other prey fish), and empty stomachs. This grouping facilitated the analysis of prey group switches and differences between lakes [65]. The normalized proportion of prey types per age group was calculated, and prey choice differences between lakes were evaluated using Kruskal–Wallis rank sum tests [59]. Diet changes with age (2–4, 5–7, and >8 years) were explored to identify potential differences in prey items across lakes. Conditional probabilities were calculated to assess the likelihood of selecting one prey type given the selection of another (co-selection), stratified by lake and age. For each prey type, the probability P(PreyB|PreyA) was computed as the proportion of individuals selecting both prey A and prey B relative to the total number of individuals selecting prey A within each lake–age subgroup [66]. This approach captures age-related dietary shifts and lake-specific foraging strategies, offering insights into how individual feeding behaviors adapt in response to ecological conditions [27,67].

3. Results

3.1. Northern Pike CPUE and Prey Fish CPUA

Both lakes exhibited a median catch-per-unit-effort (CPUE) of 0.25 pike per net-hour (pike/nh; Figure 2a). The mean CPUE was slightly lower in Steepbank (0.244 pike/nh, SD = 0.237) than in Wappau (0.283 pike/nh, SD = 0.250; Table S1). The prey fish density, measured via seine net hauls, was higher in Wappau (mean = 43.4 fish/100 m2, SD = 16.8) than in Steepbank (mean = 31.2 fish/100 m2, SD = 6.87; p = 0.04; η2 = 0.2; Figure 2b). The species composition of prey fish differed between the lakes, with yellow perch dominating in Wappau (81%, SD = 8%) and spottail shiner in Steepbank (85%, SD = 5%; Table S1).

3.2. Age and Growth

Northern pike from Steepbank had an average length of 434.8 mm (SD = 144.4 mm), while those from Wappau were larger on average, with a length of 502.5 mm (SD = 206.4 mm). The growth rates were significantly higher in Wappau (55.6 mm/year) compared to Steepbank (39.1 mm/year; p = 2.43 × 10−13; Table S2). The predicted growth deviations occurred in older individuals (≥8 years), as illustrated in Figure 3.

3.3. Condition

The relative weight (Wr) of northern pike differed significantly between the lakes (p = 0.004; η2 = 0.17; Figure 4a) and showed an interaction between the lake and age class (p = 0.01; η2 = 0.25; Table S3). In Steepbank, the Wr decreased with age, with mean values of 109.0 (SD = 10.7) for ages 2–4, 101.0 (SD = 8.99) for ages 5–7, and 95.4 (SD = 7.75) for ages 8–11. In Wappau, the Wr values were 96.2 (SD = 11.3) for ages 2–4, 92.0 (SD = 7.28) for ages 5–7, and 109.0 (SD = 11.9) for ages 8–11. Younger pike (ages 2–7) in Steepbank had a higher Wr than those in Wappau (p = 0.04), but for the oldest age class (8–11), the Wr was higher in Wappau (p = 0.04; Figure 4b). This interaction indicates that the condition of the pike changes with age differently in the two lakes (Figure 4).

3.4. Diet and Stomach Contents

The proportion of empty stomachs and those containing piscivorous prey did not differ significantly between the lakes (Table S4; Figure 5). However, conspecific predation was higher in Steepbank, especially for age classes 2–4 (33.3%) and 8–11 (33.3%), compared to Wappau, where no conspecifics were observed in these age groups. For ages 5–7, conspecific predation was 12.5% in Steepbank and 6.67% in Wappau (p = 0.04; Table S4; Figure 5).
Invertebrate consumption also varied between the lakes (p = 0.049; Table S4). Steepbank pike consumed more invertebrates across all age classes compared to Wappau. In Steepbank, invertebrate consumption declined from 33.3% at ages 2–4 to 18.8% at ages 5–7 and 16.7% at ages 8–11. In Wappau, consumption was lower overall, with 22.2% for ages 2–4, 6.67% for ages 5–7, and no recorded invertebrate consumption for ages 8–11. These results suggest that invertebrates play a diminishing role in pike diets as they age, particularly in Wappau (Figure 5).
In Steepbank lake, prey co-selection patterns evolved across age groups. For ages 2–4 and 5–7, macroinvertebrates were the central prey type, with mutual co-selection observed between macroinvertebrates and piscivorous prey, as well as between macroinvertebrates and conspecific prey (Figure S1). However, there was no strong direct link between piscivorous prey and conspecific prey in either age group. By ages 8–11, this pattern had shifted. The link between macroinvertebrates and conspecific prey disappeared, while a new direct link formed between piscivorous prey and conspecific prey, (33% and 50% co-selection). Additionally, individuals feeding on macroinvertebrates were highly likely to also feed on piscivorous prey (100%), with a reciprocal link from piscivorous prey to macroinvertebrates (33%). This shift suggests a growing reliance on piscivorous prey in older age groups.
In Wappau, there were no strong associations between prey types in the 2–4 and 8–11 age groups. In age group 5–7, individuals feeding on macroinvertebrates were likely to also feed on piscivorous prey, and those feeding on conspecific prey were likely to also feed on piscivorous prey (100%). However, the reverse was not true (Figure S1). This suggests that, in this age group, piscivorous feeding is more central to prey choice.

4. Discussion

Our study investigated the growth rates, relative condition, and prey selection of northern pike in Steepbank and Wappau lakes to test three key hypotheses. We predicted that the growth rates of northern pike would differ between the lakes due to their contrasting environmental conditions. This was confirmed, as the northern pike in Wappau exhibited significantly higher growth rates for older specimens compared to those in Steepbank, supporting the notion that lake-specific factors such as prey availability influence growth. We also hypothesized that the northern pike in Wappau would exhibit a higher relative condition due to having a more diverse prey base. This hypothesis was partially supported, as there were significant differences in relative condition (Wr) between the lakes, but this effect varied by age class. Northern pike in Steepbank had a higher relative condition in the younger age groups, while Wappau northern pike had a higher condition in the oldest age group. Finally, we expected that prey selection would differ between the lakes, with the northern pike in Steepbank relying more on conspecific predation due to limited prey diversity. This hypothesis was supported by the findings, as conspecific predation was significantly more common in Steepbank, particularly in the youngest and oldest age classes.

4.1. Growth Rates, Condition, and Prey Choice

The observed differences in growth rates between the northern pike populations in Steepbank and Wappau reflect both environmental and ecological influences. Both lakes exhibited similar median and mean CPUEs per net hour for northern pike, suggesting a comparable northern pike abundance. However, the population differences likely stem from other factors, particularly habitat characteristics and prey availability.
The northern pike in Wappau exhibited significantly higher growth rates compared to those in Steepbank. This difference is linked to Wappau’s habitat complexity, higher prey fish density (measured as prey fish CPUA), macrophyte cover, and overall lake size [23,27,67]. Wappau’s shallower, vegetated habitat likely enhances lake productivity, creating abundant prey resources for northern pike [68,69]. This complex habitat supports both prey fish and ambush hunting opportunities for pike, with dense macrophytes providing cover and a rearing habitat [25,69]. In contrast, Steepbank’s deeper, less complex habitat may limit prey availability and consequently, the growth potential of its northern pike [32,69,70].
Interestingly, the younger northern pike (ages 2–7) in Steepbank exhibited a higher relative condition (Wr) compared to those in Wappau. This suggests that younger pike benefit from opportunistic feeding on invertebrates [66,71]. Research indicates that young pike in environments with limited prey fish availability rely on invertebrates for sustenance, which is a pattern that was observed in Steepbank. The consistent co-selection between macroinvertebrates and piscivorous prey or conspecifics in the 2–4 and 5–7 age groups suggests that macroinvertebrates serve as an important alternative food source at younger ages. [67,71]. However, this dietary shift, while supporting the growth of younger pike, highlights a compensatory feeding strategy. The diet analysis reveals that older northern pike in Steepbank also still rely to some degree on invertebrates due to low prey fish availability. However, in older individuals (ages 8–11), the disappearance of the macroinvertebrate–conspecific relationship and the emergence of stronger links between piscivory and conspecific predation suggests that as pike grow larger, they become more efficient at predation on other pike and fish [25,58,71]. In contrast, the northern pike in Wappau shift towards prey fish as they age, emphasizing how prey abundance influences feeding behavior and diet composition. The lack of strong co-selection patterns, with the few patterns present centered around piscivory, further support the high abundance of prey fish, where individuals, regardless of age, have less need to feed on less preferred prey [71].
Older pike (>8 years) in Wappau presented with a better relative condition than those in Steepbank, likely benefiting from the higher prey fish density in Wappau [25,72,73]. Adult northern pike thrive in habitats rich in high-energy prey, and the abundance of prey fish like yellow perch provides the necessary resources for maintaining their condition and size [72,73]. Consequently, Wappau provides a more suitable environment for larger, older pike.
Despite similar CPUEs for northern pike in both lakes, the shallower, more vegetated Wappau offers greater habitat accessibility compared to the deeper, less complex Steepbank [74]. This difference in habitat complexity impacts the northern pike, especially smaller individuals, who may be confined to less favorable habitat patches in Steepbank, thus limiting their access to prey and increasing competition [75]. Larger northern pike in Steepbank may face competition and conspecific predation, which could influence their growth and distribution [76]. The stomach contents analysis reveals significantly higher rates of conspecific predation in Steepbank, with older pike preying on smaller individuals, which is likely driven by prey scarcity and habitat limitations [76].
In contrast, Wappau showed minimal conspecific predation, with no predation observed in the oldest age group. The higher conspecific predation in Steepbank reflects a compensatory feeding behavior in response to prey scarcity, with a shift towards conspecifics when alternative prey is scarce. This aligns with previous studies observing such behavior in predator populations under similar conditions [25,27]. Interestingly, white sucker, although abundant in Steepbank, do not appear to be a major prey item for pike, likely due to their larger size and rapid growth [77]. The ability of the younger pike in Steepbank to maintain a higher condition through prey switching (such as the increased consumption of invertebrates) highlights the adaptability of northern pike to changing environmental conditions [67]. However, this strategy may not be sustainable in the long term, as indicated by the stunted growth and lower condition of the older pike in Steepbank. This suggests that while younger individuals may adapt their diet, the long-term health of northern pike populations may be compromised if habitat and prey conditions remain suboptimal [26,67].

4.2. Management Implications

Our ecological findings also have practical management implications for northern pike populations, with an emphasis on enhancing trophy fisheries, improving habitat conditions, and designing new lakes for compensation efforts in the northern boreal region.
For trophy fisheries, ensuring the long-term health and growth of northern pike requires careful consideration of both habitat enhancement and fishing regulations [23,24]. The differences observed between the Steepbank and Wappau populations suggest that populations in stunted environments, such as Steepbank, would not benefit from stocking efforts alone. In such cases, stocking does not address the root cause of density-dependent bottlenecks or juvenile mortalities in the population, such as conspecific predation or a lack of prey fish. Instead, stocking may exacerbate the problem by adding more individuals to a population that is already resource-limited [78,79]. To improve northern pike populations in stunted lakes, angling regulations should focus on targeting stunted size classes. Implementing a size slot limit (where only pike within certain size ranges can be harvested) will allow smaller individuals to grow and mature, while protecting the large, fecund adults that contribute to population stability. This approach balances conservation goals with angler interests [80,81].
In areas with limited shelter for younger pike, creating refuges or adding vegetation and coarse woody structures can provide essential cover for juvenile fish [23,24]. These enhancements, in turn, support the prey fish populations that northern pike rely on [32]. While targeted interventions like habitat enhancement or stocking could improve conditions, it is important to consider whether such management aligns with the natural ecological balance [40,82]. In cases where stunted populations represent a natural state of the ecosystem, extensive management efforts might not be justified and could disrupt existing ecological processes [40,41,82].
When designing new lakes as part of compensation efforts or offsetting, it is critical to consider the unique ecological features of the northern boreal region [36,37]. Boreal lakes have a slow wood regime, meaning that they naturally accumulate little deadwood over time [29,32]. For newly designed or restored lakes, adding coarse woody habitats can accelerate the development of functional ecosystems by providing shelter and food for both prey fish and northern pike [32,83]. Similarly, riparian planting can provide an additional habitat and contribute to the system’s overall ecological health [40,69,84,85]. In lake design, factors such as the depth and surface area also play a crucial role in determining habitat connectivity, as lakes with smaller surface area to depth ratios, as seen in Steepbank, may have limited opportunities for ecological exchanges between habitat patches, while larger lakes can offer more extensive, interconnected environments for both predator and prey species [70,76,86].
The choice of prey fish should also be a key consideration in lake design. For example, while prey fish abundance is often thought to be sufficient for supporting predator populations, the species composition matters [87,88]. In Steepbank, for instance, white sucker were abundant but not heavily targeted by northern pike due to their large size and rapid growth [58,87,89]. This highlights the need to carefully select prey fish species that are appropriately sized for northern pike, such as yellow perch, which are more suitable for younger and adult pike [71,90].
Another important factor is food web interactions and connectivity. Introducing a single top predator, such as northern pike, will regulate the food web differently compared to systems where pike coexist with other top predators like walleye or bass [72,73]. This should be carefully considered when designing new systems, as the absence of competitive interactions could lead to different prey dynamics [73]. If new lakes are connected to nearby streams or other lakes within the watershed, this could alter the balance of prey and predator species, introducing both diversity, nutrients, and competition. These shifts must be carefully planned to avoid unforeseen consequences, such as the introduction of additional predators or changes in prey availability, especially in systems with naturally low species diversity [91,92].
Finally, climate stressors, such as the active fire regimes and long winters in the northern boreal ecoregion, should be factored into design plans. These environmental pressures and the associated death of both predator and prey species can exacerbate the stress on northern pike populations, particularly in newly established systems [33,93,94,95]. It is important to design lakes that can withstand these pressures while providing stable conditions for predator and prey populations [94,95]. Additionally, the potential overabundance of parasites and the chance for disease outbreaks in new systems, as well as algal blooms, must be monitored closely [96,97].
Monitoring should include regular evaluations of both community composition and habitat availability, as well as, and more importantly, habitat use, which has been overestimated for certain species in the past [36,98,99]. Tracking these factors over time can reveal changes in the ecosystem and fish behavior that might otherwise go unnoticed, allowing for timely interventions if needed [100,101,102]. Incorporating metrics that evaluate community health, such as species diversity, trophic relationships, and ecosystem resilience, will provide a more complete picture of overall ecosystem health [73,90,102].

5. Conclusions

Our study highlights the significant impact of prey availability and habitat complexity on the growth and condition of northern pike in northern boreal lakes, represented by Steepbank and Wappau lakes. Higher prey densities and more complex habitats, as observed in Wappau, support better growth and conditions compared to less complex and less productive environments like Steepbank. Younger northern pike can adapt to a lower prey availability by consuming invertebrates, but this may result in stunting for older individuals, if prey levels remain insufficient, and a higher degree of conspecific predation. For management, considering harvest slots in lakes with naturally lower prey availabilities might balance population dynamics, while more extensive interventions should be carefully weighed against natural stunting tendencies. Insights from this study also highlight that, when creating new lakes for compensatory mitigation, prioritizing prey fish availability and habitat complexity is essential for supporting productive ecosystems, especially if the goal is to enhance overall fish biomass rather than replicating regional lake conditions.
This study’s focus on only two lakes and a specific timeframe limits its ability to capture seasonal or long-term variations in northern pike populations [71,103]. Future studies should include a wider range of lakes and longer monitoring periods to enhance the generalizability of these findings [72,104]. Aside from the overall spatial and temporal scope, the absence of telemetry data restricts our understanding of northern pike movements and habitat use. Incorporating telemetry could provide insights into how northern pike navigate their environments and how their movements correlate with prey availability and habitat features as done in other studies [100,105,106]. Future studies should also account for other environmental factors such as nutrient concentration, like nitrogen or phosphorus, which would provide a more comprehensive view of northern pike ecology in the region [107,108]. By addressing these limitations and exploring additional research avenues, future studies can build on our findings to develop more effective management strategies and improve our understanding of northern pike ecology for the northern boreal ecoregion.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/hydrobiology4010001/s1, Table S1: Summary statistics for CPUE and CPUA; Table S2: Von Bertalanffy growth curve results; Table S3: ANOVA results for relative weight; Table S4: Kruskal–Wallis test results for stomach contents. Figure S1: Conditional probabilities for co-selection of prey.

Author Contributions

Conceptualization, S.T. and M.S.P.; methodology, S.T., J.L.W.R. and M.S.P.; validation, S.T., J.L.W.R. and J.S.; formal analysis, S.T.; investigation, S.T., M.B. and J.S.; resources, M.S.P.; data curation, M.B. and S.T.; writing—original draft preparation, S.T.; writing—review and editing, S.T., M.B., J.S., J.L.W.R. and M.S.P.; visualization, S.T.; supervision, M.S.P.; project administration, S.T., M.B. and M.S.P.; funding acquisition, M.S.P. All authors have read and agreed to the published version of the manuscript.

Funding

The funding for this project was provided by Mitacs Cluster Accelerate (RES0027784) and Converge (RES0021639) grants to M.P. Industry support was provided by Canadian Natural Resources Limited (CNRL).

Institutional Review Board Statement

This study was conducted under the Animal Use Protocol AUP00001547, which was approved by the University of Alberta. Provincial approval was granted under the research license RL18/19/20-1809.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data and additional materials are available by contacting the authors, through the Fisheries and Wildlife Management Information System—FWMIS (https://www.alberta.ca/access-fwmis-data (accessed on 12 September 2023)—and in the Supplemental Material. The geospatial layers are available from AHS-GIS and open.alberta.ca under ‘Open Government Licence—Alberta’ and are part of QGIS 3.32.2.

Acknowledgments

The funding and in-kind support for this project was provided by Mitacs Cluster Accelerate, and Alberta Environment and Parks (AEP). The scientific symbols used to enhance the figures were provided through ian.umces.edu under the Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) agreement.

Conflicts of Interest

The authors declare that there are no conflicts of interest.

References

  1. Desforges, J.E.; Clarke, J.; Harmsen, E.J.; Jardine, A.M.; Robichaud, J.A.; Serré, S.; Chakrabarty, P.; Bennett, J.R.; Hanna, D.E.L.; Smol, J.P.; et al. The alarming state of freshwater biodiversity in Canada. Can. J. Fish. Aquat. Sci. 2022, 79, 352–365. [Google Scholar] [CrossRef]
  2. Dudgeon, D.; Arthington, A.H.; Gessner, M.O.; Kawabata, Z.-I.; Knowler, D.J.; Lévêque, C.; Naiman, R.J.; Prieur-Richard, A.-H.; Soto, D.; Stiassny, M.L.J.; et al. Freshwater biodiversity: Importance, threats, status and conservation challenges. Biol. Rev. 2006, 81, 163. [Google Scholar] [CrossRef]
  3. Reid, A.J.; Carlson, A.K.; Creed, I.F.; Eliason, E.J.; Gell, P.A.; Johnson, P.T.J.; Kidd, K.A.; MacCormack, T.J.; Olden, J.D.; Ormerod, S.J.; et al. Emerging threats and persistent conservation challenges for freshwater biodiversity. Biol. Rev. 2019, 94, 849–873. [Google Scholar] [CrossRef] [PubMed]
  4. WWF. Living Planet Report 2020—Bending the Curve of Biodiversity Loss; Almond, R.E.A., Grooten, M., Petersen, T., Eds.; WWF: Gland, Switzerland, 2020. [Google Scholar]
  5. Dudgeon, D.; Strayer, D.L. Bending the curve of global freshwater biodiversity loss: What are the prospects? Biol. Rev. 2024. [Google Scholar] [CrossRef] [PubMed]
  6. Theis, S.; Castellanos-Acuña, D.; Hamann, A.; Poesch, M.S. Small-bodied fish species from the western United States will be under severe water stress by 2040. Conserv. Sci. Pract. 2023, 5, e12856. [Google Scholar] [CrossRef]
  7. Britton, J.R.; Lynch, A.J.; Bardal, H.; Bradbeer, S.J.; Coetzee, J.A.; Coughlan, N.E.; Dalu, T.; Tricarico, E.; Gallardo, B.; Lintermans, M. Preventing and controlling nonnative species invasions to bend the curve of global freshwater biodiversity loss. Environ. Rev. 2023, 31, 310–326. [Google Scholar] [CrossRef]
  8. Niinemets, Ü.; Kahru, A.; Nõges, P.; Tuvikene, A.; Vasemägi, A.; Mander, Ü.; Nõges, T. Environmental feedbacks in temperate aquatic ecosystems under global change: Why do we need to consider chemical stressors? Reg. Environ. Chang. 2017, 17, 2079–2096. [Google Scholar] [CrossRef]
  9. Arthington, A.H.; Dulvy, N.K.; Gladstone, W.; Winfield, I.J. Fish conservation in freshwater and marine realms: Status, threats and management: Fish Conservation in Freshwater and Marine Realms. Aquat. Conserv. Mar. Freshw. Ecosyst. 2016, 26, 838–857. [Google Scholar] [CrossRef]
  10. Pardini, R.; Nichols, E.; Püttker, T. Biodiversity Response to Habitat Loss and Fragmentation. In Encyclopedia of the Anthropocene; Elsevier: Amsterdam, The Netherlands, 2018; pp. 229–239. ISBN 978-0-12-813576-1. [Google Scholar]
  11. Abell, R.; Vigerstol, K.; Higgins, J.; Kang, S.; Karres, N.; Lehner, B.; Sridhar, A.; Chapin, E. Freshwater biodiversity conservation through source water protection: Quantifying the potential and addressing the challenges. Aquat. Conserv. Mar. Freshw. Ecosyst. 2019, 29, 1022–1038. [Google Scholar] [CrossRef]
  12. Droste, N.; Alkan Olsson, J.; Hanson, H.; Knaggård, Å.; Lima, G.; Lundmark, L.; Thoni, T.; Zelli, F. A global overview of biodiversity offsetting governance. J. Environ. Manag. 2022, 316, 115231. [Google Scholar] [CrossRef] [PubMed]
  13. Latham, R.E.; Craig, L.S.; Abs, D.J.V. Land Stewardship and Freshwater Outcomes: An Overview of Practice and Results. Nat. Areas J. 2019, 39, 6. [Google Scholar] [CrossRef]
  14. Cooke, S.J.; Harrison, I.; Thieme, M.L.; Landsman, S.J.; Birnie-Gauvin, K.; Raghavan, R.; Creed, I.F.; Pritchard, G.; Ricciardi, A.; Hanna, D.E. Is it a new day for freshwater biodiversity? Reflections on outcomes of the Kunming-Montreal Global Biodiversity Framework. PLoS Sustain. Transform. 2023, 2, e0000065. [Google Scholar] [CrossRef]
  15. French McCay, D.; Rowe, J. Habitat restoration as mitigation for lost production at multiple trophic levels. Mar. Ecol. Prog. Ser. 2003, 264, 233–247. [Google Scholar] [CrossRef]
  16. Theis, S.; Ruppert, J.L.W.; Roberts, K.N.; Minns, C.K.; Koops, M.; Poesch, M.S. Compliance with and ecosystem function of biodiversity offsets in North American and European freshwaters. Conserv. Biol. 2019, 34, 41–53. [Google Scholar] [CrossRef]
  17. Allen, M.S.; Tugend, K.I.; Mann, M.J. Largemouth Bass Abundance and Angler Catch Rates following a Habitat Enhancement Project at Lake Kissimmee, Florida. N. Am. J. Fish. Manag. 2003, 23, 845–855. [Google Scholar] [CrossRef]
  18. Arlinghaus, R.; Riepe, C.; Theis, S.; Pagel, T.; Fujitani, M. Dysfunctional information feedbacks cause the emergence of management panaceas in social-ecological systems: The case of fish stocking in inland recreational fisheries. J. Outdoor Recreat. Tour. 2022, 38, 100475. [Google Scholar] [CrossRef]
  19. Woodward, R.T.; Griffin, W.L. Size and Bag Limits in Recreational Fisheries: Theoretical and Empirical Analysis. Mar. Resour. Econ. 2003, 18, 239–262. [Google Scholar] [CrossRef]
  20. Evans, M.S. The large lake ecosystems of northern Canada. Aquat. Ecosyst. Health Manag. 2000, 3, 65–79. [Google Scholar] [CrossRef]
  21. Margenau, T.L.; AveLallemant, S.P.; Giehtbrock, D.; Schram, S.T. Ecology and management of northern pike in Wisconsin. Hydrobiologia 2008, 601, 111–123. [Google Scholar] [CrossRef]
  22. Paukert, C.P.; Klammer, J.A.; Pierce, R.B.; Simonson, T.D. An Overview of Northern Pike Regulations in North America. Fisheries 2001, 26, 6–13. [Google Scholar] [CrossRef]
  23. Casselman, J.M.; Lewis, C.A. Habitat requirements of northern pike ( Essox lucius ). Can. J. Fish. Aquat. Sci. 1996, 53, 161–174. [Google Scholar] [CrossRef]
  24. Grimm, M.P. Northern pike (Esox lucius L.) and aquatic vegetation, tools in the management of fisheries and water quality in shallow waters. Hydrobiol. Bull. 1989, 23, 59–65. [Google Scholar] [CrossRef]
  25. Craig, J.F. A short review of pike ecology. Hydrobiologia 2008, 601, 5–16. [Google Scholar] [CrossRef]
  26. Diana, J.S. Simulation of Mechanisms Causing Stunting in Northern Pike Populations. Trans. Am. Fish. Soc. 1987, 116, 612–617. [Google Scholar] [CrossRef]
  27. Skov, C.; Koed, A. Habitat use of 0+ year pike in experimental ponds in relation to cannibalism, zooplankton, water transparency and habitat complexity. J. Fish Biol. 2004, 64, 448–459. [Google Scholar] [CrossRef]
  28. Schindler, D.W. A Dim Future for Boreal Waters and Landscapes. BioScience 1998, 48, 157–164. [Google Scholar] [CrossRef]
  29. Gennaretti, F.; Arseneault, D.; Bégin, Y. Millennial stocks and fluxes of large woody debris in lakes of the North American taiga. J. Ecol. 2014, 102, 367–380. [Google Scholar] [CrossRef]
  30. Arzel, C.; Nummi, P.; Arvola, L.; Pöysä, H.; Davranche, A.; Rask, M.; Olin, M.; Holopainen, S.; Viitala, R.; Einola, E.; et al. Invertebrates are declining in boreal aquatic habitat: The effect of brownification? Sci. Total Environ. 2020, 724, 138199. [Google Scholar] [CrossRef] [PubMed]
  31. France, R.; Culbert, H.; Freeborough, C.; Peters, R. Leaching and early mass loss of boreal leaves and wood in oligotrophic water. Hydrobiologia 1997, 345, 209–214. [Google Scholar] [CrossRef]
  32. Theis, S.; Ruppert, J.L.W.; Poesch, M.S. Coarse woody habitat use by local fish species and structural integrity of enhancements over time in a shallow northern boreal lake assessed in a Bayesian modelling approach. Ecol. Solut. Evid. 2023, 4, e12200. [Google Scholar] [CrossRef]
  33. Weber, M.G.; Flannigan, M.D. Canadian boreal forest ecosystem structure and function in a changing climate: Impact on fire regimes. Environ. Rev. 1997, 5, 145–166. [Google Scholar] [CrossRef]
  34. Pickell, P.D.; Andison, D.W.; Coops, N.C. Characterizations of anthropogenic disturbance patterns in the mixedwood boreal forest of Alberta, Canada. For. Ecol. Manag. 2013, 304, 243–253. [Google Scholar] [CrossRef]
  35. Timoney, K.P.; Lee, P. Does the Alberta Tar Sands Industry Pollute? The Scientific Evidence. Open Conserv. Biol. J. 2009, 3, 65–81. [Google Scholar] [CrossRef]
  36. Ruppert, J.L.W.; Hogg, J.; Poesch, M.S. Community assembly and the sustainability of habitat offsetting targets in the first compensation lake in the oil sands region in Alberta, Canada. Biol. Conserv. 2018, 219, 138–146. [Google Scholar] [CrossRef]
  37. Blanchette, M.L.; Lund, M.A. Pit lakes are a global legacy of mining: An integrated approach to achieving sustainable ecosystems and value for communities. Curr. Opin. Environ. Sustain. 2016, 23, 28–34. [Google Scholar] [CrossRef]
  38. Johnson, E.A.; Miyanishi, K. Creating New Landscapes and Ecosystems. Ann. N. Y. Acad. Sci. 2008, 1134, 120–145. [Google Scholar] [CrossRef]
  39. Bouwes, N.; Bennett, S.; Wheaton, J. Adapting Adaptive Management for Testing the Effectiveness of Stream Restoration: An Intensively Monitored Watershed Example. Fisheries 2016, 41, 84–91. [Google Scholar] [CrossRef]
  40. Gulati, R.D.; Dionisio Pires, L.M.; Van Donk, E. Lake restoration studies: Failures, bottlenecks and prospects of new ecotechnological measures. Limnologica 2008, 38, 233–247. [Google Scholar] [CrossRef]
  41. Hale, R.; Swearer, S.E. When good animals love bad restored habitats: How maladaptive habitat selection can constrain restoration. J. Appl. Ecol. 2016, 54, 1478–1486. [Google Scholar] [CrossRef]
  42. Koops, M.A.; Dey, C.J.; Fung, S.; Theis, S.; Tunney, T.D.; van der Lee, A.S. Estimation des Effets et des Mesures de Compensation de la Mort du Poisson; Secrétariat Canadien de Consultation Scientifique (SCCS): Montreal, QC, Canada, 2022. [Google Scholar]
  43. Theis, S.; Koops, M.A.; Poesch, M.S. A Meta-analysis on the Effectiveness of Offsetting Strategies to Address Harm to Freshwater Fishes. Environ. Manag. 2022, 70, 793–807. [Google Scholar] [CrossRef]
  44. Pereira, D.L.; Hansen, M.J. A Perspective on Challenges to Recreational Fisheries Management: Summary of the Symposium on Active Management of Recreational Fisheries. N. Am. J. Fish. Manag. 2003, 23, 1276–1282. [Google Scholar] [CrossRef]
  45. Sass, G.G.; Shaw, S.L. Catch-and-Release Influences on Inland Recreational Fisheries. Rev. Fish. Sci. Aquac. 2020, 28, 211–227. [Google Scholar] [CrossRef]
  46. Miller, L.L.; Rasmussen, J.B.; Palace, V.P.; Sterling, G.; Hontela, A. Selenium Bioaccumulation in Stocked Fish as an Indicator of Fishery Potential in Pit Lakes on Reclaimed Coal Mines in Alberta, Canada. Environ. Manag. 2013, 52, 72–84. [Google Scholar] [CrossRef] [PubMed]
  47. Jurasinski, G. simba: A Collection of Functions for Similarity Analysis of Vegetation Data. 2012. Available online: http://www.r-project.org/ (accessed on 23 July 2023).
  48. Kalinowska, K.; Ulikowski, D.; Traczuk, P.; Kozłowski, M.; Kapusta, A. Fish species richness in polish lakes. Diversity 2023, 15, 164. [Google Scholar] [CrossRef]
  49. Marshall, E.M.; Larocque, S.M.; Reddick, D.T.; Midwood, J.D.; Doka, S.E. Temperature, Dissolved Oxygen, Fish, Vegetation, and Substrate Surveys in Lake Ontario Coastal Wetlands; Fisheries and Oceans Canada: Ottawa, ON, Canada, 2021; Available online: https://publications.gc.ca/collections/collection_2021/mpo-dfo/Fs97-6-3385-eng.pdf (accessed on 26 July 2023).
  50. Murphy, S.C.; Collins, N.C.; Doka, S.E. Determinants of temperature in small coastal embayments of Lake Ontario. J. Gt. Lakes Res. 2012, 38, 600–609. [Google Scholar] [CrossRef]
  51. Quirino, B.A.; Søndergaard, M.; Lauridsen, T.L.; Johansson, L.S.; Fugi, R.; Thomaz, S.M.; Lansac-Tôha, F.M.; Jeppesen, E. Associations between submerged macrophytes and fish communities at two spatial scales in 88 temperate shallow lakes. Freshw. Biol. 2023, 68, 1211–1223. [Google Scholar] [CrossRef]
  52. Daněk, T.; Bouše, E.; Musil, J. Wind of change: Selective summer fish kill in an oxbow lake associated with windy weather. Environ. Biol. Fishes 2023, 106, 1815–1823. [Google Scholar] [CrossRef]
  53. Nodo, P.; Childs, A.-R.; Pattrick, P.; Lemley, D.; James, N. Response of demersal fishes to low dissolved oxygen events in two eutrophic estuaries. Estuar. Coast. Shelf Sci. 2023, 293, 108514. [Google Scholar] [CrossRef]
  54. Zanghi, C.; Ioannou, C.C. The impact of increasing turbidity on the predator–prey interactions of freshwater fishes. Freshw. Biol. 2024. [Google Scholar] [CrossRef]
  55. Klein, Z.; McCormick, J. Evaluation of the influence of correcting for gillnet selectivity on the estimation of population parameters. PLoS ONE 2023, 18, e0287434. [Google Scholar] [CrossRef]
  56. Altuntaş, C.; Tokaç, A.; Herrmann, B.; Mısır, D.S.; Dağtekin, M.; Cerbule, K. Effect of mesh size in monofilament and multifilament gillnets on catch efficiency in the Black Sea whiting (Merlangius merlangus) fishery. Estuar. Coast. Shelf Sci. 2024, 299, 108695. [Google Scholar] [CrossRef]
  57. Bonar, S.A.; Hubert, W.A. Standard Sampling of Inland Fish: Benefits, Challenges, and a Call for Action. Fisheries 2002, 27, 10–16. [Google Scholar] [CrossRef]
  58. Frost, W.E. The food of pike, Esox lucius L., in Windermere. J. Anim. Ecol. 1954, 23, 339–360. [Google Scholar] [CrossRef]
  59. Ostertagová, E.; Ostertag, O.; Kováč, J. Methodology and Application of the Kruskal-Wallis Test. Appl. Mech. Mater. 2014, 611, 115–120. [Google Scholar] [CrossRef]
  60. Oele, D.L.; Lawson, Z.J.; McIntyre, P.B. Precision and Bias in Aging Northern Pike: Comparisons among Four Calcified Structures. N. Am. J. Fish. Manag. 2015, 35, 1177–1184. [Google Scholar] [CrossRef]
  61. Ogle, D.H. Introductory Fisheries Analyses With R; Chapman and Hall/CRC: Boca Raton, FL, USA, 2018; ISBN 1-315-37198-7. [Google Scholar]
  62. Ogle, D. FSA: Simple Fisheries Stock Assessment Methods. 2023. Available online: https://fishr-core-team.github.io/FSA/ (accessed on 3 October 2023).
  63. Wilcoxon, F.; Katti, S.; Wilcox, R.A. Critical values and probability levels for the Wilcoxon rank sum test and the Wilcoxon signed rank test. Sel. Tables Math. Stat. 1970, 1, 171–259. [Google Scholar]
  64. Blackwell, B.G.; Brown, M.L.; Willis, D.W. Relative Weight (Wr) Status and Current Use in Fisheries Assessment and Management. Rev. Fish. Sci. 2000, 8, 1–44. [Google Scholar] [CrossRef]
  65. Buckland, A.; Baker, R.; Loneragan, N.; Sheaves, M. Standardising fish stomach content analysis: The importance of prey condition. Fish. Res. 2017, 196, 126–140. [Google Scholar] [CrossRef]
  66. Shafer, G. Conditional probability. Int. Stat. Rev. Int. Stat. 1985, 53, 261–275. [Google Scholar] [CrossRef]
  67. Venturelli, P.A.; Tonn, W.M. Diet and Growth of Northern Pike in the Absence of Prey Fishes: Initial Consequences for Persisting in Disturbance-Prone Lakes. Trans. Am. Fish. Soc. 2006, 135, 1512–1522. [Google Scholar] [CrossRef]
  68. Cvetkovic, M.; Wei, A.; Chow-Fraser, P. Relative importance of macrophyte community versus water quality variables for predicting fish assemblages in coastal wetlands of the Laurentian Great Lakes. J. Gt. Lakes Res. 2010, 36, 64–73. [Google Scholar] [CrossRef]
  69. Randall, R.G.; Minns, C.K.; Cairns, V.W.; Moore, J.E. The relationship between an index of fish production and submerged macrophytes and other habitat features at three littoral areas in the Great Lakes. Can. J. Fish. Aquat. Sci. 1996, 53, 35–44. [Google Scholar] [CrossRef]
  70. Sass, G.G.; Shaw, S.L.; Fenstermacher, C.C.; Porreca, A.P.; Parkos III, J.J. Structural habitat in lakes and reservoirs: Physical and biological considerations for implementation. N. Am. J. Fish. Manag. 2023, 43, 290–303. [Google Scholar] [CrossRef]
  71. Sammons, S.M.; Scalet, C.G.; Neumann, R.M. Seasonal and Size-Related Changes in the Diet of Northern Pike from a Shallow Prairie Lake. J. Freshw. Ecol. 1994, 9, 321–329. [Google Scholar] [CrossRef]
  72. Findlay, D.L.; Vanni, M.J.; Paterson, M.; Mills, K.H.; Kasian, S.E.M.; Findlay, W.J.; Salki, A.G. Dynamics of a Boreal Lake Ecosystem during a Long-Term Manipulation of Top Predators. Ecosystems 2005, 8, 603–618. [Google Scholar] [CrossRef]
  73. Soupir, C.A.; Brown, M.L.; Kallemeyn, L.W. Trophic ecology of largemouth bass and northern pike in allopatric and sympatric assemblages in northern boreal lakes. Can. J. Zool. 2000, 78, 1759–1766. [Google Scholar] [CrossRef]
  74. Pierce, R.B.; Carlson, A.J.; Carlson, B.M.; Hudson, D.; Staples, D.F. Depths and Thermal Habitat Used by Large versus Small Northern Pike in Three Minnesota Lakes. Trans. Am. Fish. Soc. 2013, 142, 1629–1639. [Google Scholar] [CrossRef]
  75. Pierce, R.B.; Tomcko, C.M. Density and Biomass of Native Northern Pike Populations in Relation to Basin-Scale Characteristics of North-Central Minnesota Lakes. Trans. Am. Fish. Soc. 2005, 134, 231–241. [Google Scholar] [CrossRef]
  76. Anders Nilsson, P. Avoid your neighbours: Size-determined spatial distribution patterns among northern pike individuals: Avoid your neighbours. Oikos 2006, 113, 251–258. [Google Scholar] [CrossRef]
  77. Lepak, J.M.; Fetherman, E.R.; Pate, W.M.; Craft, C.D.; Gardunio, E.I. An experimental approach to determine esocid prey preference in replicated pond systems. Lake Reserv. Manag. 2012, 28, 224–231. [Google Scholar] [CrossRef]
  78. Radinger, J.; Matern, S.; Klefoth, T.; Wolter, C.; Feldhege, F.; Monk, C.T.; Arlinghaus, R. Ecosystem-based management outperforms species-focused stocking for enhancing fish populations. Science 2023, 379, 946–951. [Google Scholar] [CrossRef]
  79. Hühn, D.; Gwinn, D.C.; Shaw, S.L.; Alós, J.; Allen, M.S.; Pagel, T.; Skov, C.; Arlinghaus, R. Density-and size-dependent mechanisms modulate the outcome of stocking in a naturally recruiting freshwater piscivore (northern pike, Esox lucius): A replicated whole-lake experiment. Fish. Res. 2023, 267, 106799. [Google Scholar] [CrossRef]
  80. Ahrens, R.N.M.; Allen, M.S.; Walters, C.; Arlinghaus, R. Saving large fish through harvest slots outperforms the classical minimum-length limit when the aim is to achieve multiple harvest and catch-related fisheries objectives. Fish Fish. 2020, 21, 483–510. [Google Scholar] [CrossRef]
  81. Gwinn, D.C.; Allen, M.S.; Johnston, F.D.; Brown, P.; Todd, C.R.; Arlinghaus, R. Rethinking length-based fisheries regulations: The value of protecting old and large fish with harvest slots. Fish Fish. 2015, 16, 259–281. [Google Scholar] [CrossRef]
  82. Bond, N.R.; Lake, P.S. Local habitat restoration in streams: Constraints on the effectiveness of restoration for stream biota. Ecol. Manag. Restor. 2003, 4, 193–198. [Google Scholar] [CrossRef]
  83. Theis, S.; Ruppert, J.L.W.; Shirton, J.R.; Poesch, M.S. Measuring beta diversity components and beneficial effects of coarse woody habitat introduction on invertebrate and macrophyte communities in a shallow northern boreal lake; implications for offsetting. Aquat. Ecol. 2022, 56, 793–814. [Google Scholar] [CrossRef]
  84. Angradi, T.R.; Schweiger, E.W.; Bolgrien, D.W.; Ismert, P.; Selle, T. Bank stabilization, riparian land use and the distribution of large woody debris in a regulated reach of the upper Missouri River, North Dakota, USA. River Res. Appl. 2004, 20, 829–846. [Google Scholar] [CrossRef]
  85. Jones, E.B.D.; Helfman, G.S.; Harper, J.O.; Bolstad, P.V. Effects of Riparian Forest Removal on Fish Assemblages in Southern Appalachian Streams. Conserv. Biol. 1999, 13, 1454–1465. [Google Scholar] [CrossRef]
  86. Lane, J.A.; Portt, C.B.; Minns, C.K. Nursery Habitat Characteristics of Great Lakes Fishes; Canadian Manuscript Report of Fisheries and Aquatic Sciences No. 2338; Fisheries and Oceans Canada: Ottawa, ON, Canada, 1996. [Google Scholar]
  87. Yazicioğlu, O.; Yazici, R.; Yağci, A.; Yilmaz, M. Diet and Feeding Strategy of Northern Pike, Esox lucius L., 1758 Inhabiting A Deep Dam Lake from Located Central Anatolia, Türkiye. Res. Sq. 2024. [Google Scholar] [CrossRef]
  88. Benedek, I.; Molnár, T. Size preference of live fish prey in the pellet-consuming pikeperch. Appl. Sci. 2023, 13, 2259. [Google Scholar] [CrossRef]
  89. Venturelli, P.A.; Tonn, W.M. Invertivory by northern pike (Esox lucius) structures communities of littoral macroinvertebrates in small boreal lakes. J. N. Am. Benthol. Soc. 2005, 24, 904–918. [Google Scholar] [CrossRef]
  90. Eklöv, P. Effects of Behavioural Flexibility and Habitat Complexity on Predator-Prey Interactions in Fish Communities; Department of Animal Ecology, Umeå University: Umeå, Sweden, 1995. [Google Scholar]
  91. Cutler, L.M.; Chipps, S.R.; Blackwell, B.G.; Coulter, A.A. Importance of a Lake-Wetland Complex for a Resilient Walleye Fishery. Wetlands 2024, 44, 69. [Google Scholar] [CrossRef]
  92. Laiveling, A.R.; Lorentz, C.N.; Booth, M.T. River connectivity increases the diversity of fish communities in gravel pit lakes. Trans. Am. Fish. Soc. 2023, 152, 550–576. [Google Scholar] [CrossRef]
  93. Johnstone, J.F.; Hollingsworth, T.N.; Chapin, F.S.; Mack, M.C. Changes in fire regime break the legacy lock on successional trajectories in Alaskan boreal forest. Glob. Chang. Biol. 2010, 16, 1281–1295. [Google Scholar] [CrossRef]
  94. Danylchuk, A.J.; Tonn, W.M. Natural Disturbances and Fish: Local and Regional Influences on Winterkill of Fathead Minnows in Boreal Lakes. Trans. Am. Fish. Soc. 2003, 132, 289–298. [Google Scholar] [CrossRef]
  95. Tonn, W.M.; Langlois, P.W.; Prepas, E.E.; Danylchuk, A.J.; Boss, S.M. Winterkill cascade: Indirect effects of a natural disturbance on littoral macroinvertebrates in boreal lakes. J. N. Am. Benthol. Soc. 2004, 23, 237–250. [Google Scholar] [CrossRef]
  96. Lafferty, K.D.; Kuris, A.M. How environmental stress affects the impacts of parasites. Limnol. Oceanogr. 1999, 44, 925–931. [Google Scholar] [CrossRef]
  97. Grosbois, G.; Mou, T.A.; Girona, M.M. Cyanobacteria in winter: Seasonal dynamics of harmful algal blooms and their driving factors in boreal lakes. Heliyon 2024, 10, e40687. [Google Scholar] [CrossRef]
  98. Richter, I.A.; Smokorowski, K.E.; Blanchfield, P.J. Seasonal habitat use of white sucker Catostomus commersonii in a small Boreal lake. Environ. Biol. Fishes 2024, 1–17. [Google Scholar] [CrossRef]
  99. Uzarski, D.G.; Burton, T.M.; Cooper, M.J.; Ingram, J.W.; Timmermans, S.T.A. Fish Habitat Use Within and Across Wetland Classes in Coastal Wetlands of the Five Great Lakes: Development of a Fish-based Index of Biotic Integrity. J. Gt. Lakes Res. 2005, 31, 171–187. [Google Scholar] [CrossRef]
  100. Brooks, J.L.; Boston, C.; Doka, S.; Gorsky, D.; Gustavson, K.; Hondorp, D.; Isermann, D.; Midwood, J.D.; Pratt, T.C.; Rous, A.M.; et al. Use of Fish Telemetry in Rehabilitation Planning, Management, and Monitoring in Areas of Concern in the Laurentian Great Lakes. Environ. Manag. 2017, 60, 1139–1154. [Google Scholar] [CrossRef] [PubMed]
  101. Cooke, S.J.; Martins, E.G.; Struthers, D.P.; Gutowsky, L.F.G.; Power, M.; Doka, S.E.; Dettmers, J.M.; Crook, D.A.; Lucas, M.C.; Holbrook, C.M.; et al. A moving target—Incorporating knowledge of the spatial ecology of fish into the assessment and management of freshwater fish populations. Environ. Monit. Assess. 2016, 188, 239. [Google Scholar] [CrossRef] [PubMed]
  102. Radinger, J.; Britton, J.R.; Carlson, S.M.; Magurran, A.E.; Alcaraz-Hernández, J.D.; Almodóvar, A.; Benejam, L.; Fernández-Delgado, C.; Nicola, G.G.; Oliva-Paterna, F.J.; et al. Effective monitoring of freshwater fish. Fish Fish. 2019, 20, 729–747. [Google Scholar] [CrossRef]
  103. Diller, S.N.; Harrison, A.M.; Kowalski, K.P.; Brady, V.J.; Ciborowski, J.J.H.; Cooper, M.J.; Dumke, J.D.; Gathman, J.P.; Ruetz, C.R.; Uzarski, D.G.; et al. Influences of seasonality and habitat quality on Great Lakes coastal wetland fish community composition and diets. Wetl. Ecol. Manag. 2022, 30, 439–460. [Google Scholar] [CrossRef]
  104. Bowen, K.L.; Currie, W.J.; Niblock, H.; Ward, C.L.; Metcalfe, B.; Cuddington, K.M.D.; Johnson, T.B.; Koops, M.A. Importance of long-term intensive monitoring programs for understanding multiple drivers influencing Lake Ontario zooplankton communities. J. Gt. Lakes Res. 2022, 48, 717–733. [Google Scholar] [CrossRef]
  105. Lennox, R.J.; Westrelin, S.; Souza, A.T.; Šmejkal, M.; Říha, M.; Prchalová, M.; Nathan, R.; Koeck, B.; Killen, S.; Jarić, I. A role for lakes in revealing the nature of animal movement using high dimensional telemetry systems. Mov. Ecol. 2021, 9, 40. [Google Scholar] [CrossRef]
  106. Midwood, J.D.; Gutowsky, L.F.G.; Hlevca, B.; Portiss, R.; Wells, M.G.; Doka, S.E.; Cooke, S.J. Tracking bowfin with acoustic telemetry: Insight into the ecology of a living fossil. Ecol. Freshw. Fish 2018, 27, 225–236. [Google Scholar] [CrossRef]
  107. Axler, R.; Yokom, S.; Tikkanen, C.; McDonald, M.; Runke, H.; Wilcox, D.; Cady, B. Restoration of a mine pit lake from aquacultural nutrient enrichment. Restor. Ecol. 1998, 6, 1–19. [Google Scholar] [CrossRef]
  108. Hoyle, J.A.; Bowlby, J.N.; Brousseau, C.M.; Johnson, T.B.; Morrison, B.J.; Randall, R.G. Fish community structure in the Bay of Quinte, Lake Ontario: The influence of nutrient levels and invasive species. Aquat. Ecosyst. Health Manag. 2012, 15, 370–384. [Google Scholar] [CrossRef]
Figure 1. The study area, including Wappau (yellow) and Steepbank (blue) lakes, is in the northern boreal region of Alberta, Canada. Potential prey species availability for resident northern pike populations. Symbol attribution: Tracey Saxby, Kim Kraeer, Lucy Van Essen-Fishman, Integration and Application Network; Dieter Tracey, Marine Botany; ian.umces.edu/media-library. Geospatial layers are available from AHS-GIS and open.alberta.ca under ‘Open Government Licence—Alberta’ and are part of QGIS 3.32.2.
Figure 1. The study area, including Wappau (yellow) and Steepbank (blue) lakes, is in the northern boreal region of Alberta, Canada. Potential prey species availability for resident northern pike populations. Symbol attribution: Tracey Saxby, Kim Kraeer, Lucy Van Essen-Fishman, Integration and Application Network; Dieter Tracey, Marine Botany; ian.umces.edu/media-library. Geospatial layers are available from AHS-GIS and open.alberta.ca under ‘Open Government Licence—Alberta’ and are part of QGIS 3.32.2.
Hydrobiology 04 00001 g001
Figure 2. Mean Catch Per Unit Effort (CPUE) for northern pike caught in gill net sets, standardized to catch per net hour (a). Prey fish catch in 50 m seine hauls standardized to fish per 100 m2 (b). Sampling was conducted over three years (2018–2020) at Wappau and Steepbank lakes, Alberta, Canada. * Indicates significant differences for catch.
Figure 2. Mean Catch Per Unit Effort (CPUE) for northern pike caught in gill net sets, standardized to catch per net hour (a). Prey fish catch in 50 m seine hauls standardized to fish per 100 m2 (b). Sampling was conducted over three years (2018–2020) at Wappau and Steepbank lakes, Alberta, Canada. * Indicates significant differences for catch.
Hydrobiology 04 00001 g002
Figure 3. Predicted growth deviations for northern pike in Steepbank and Wappau lakes based on average growth rates as estimated by Von Bertalanffy growth curves (age in years/length in mm). Average growth rate comparison (mm/age) is provided on secondary y-axis. Age is determined through extracted cleithra.
Figure 3. Predicted growth deviations for northern pike in Steepbank and Wappau lakes based on average growth rates as estimated by Von Bertalanffy growth curves (age in years/length in mm). Average growth rate comparison (mm/age) is provided on secondary y-axis. Age is determined through extracted cleithra.
Hydrobiology 04 00001 g003
Figure 4. Relative weight (Wr) values of northern pike across age classes (2–4, 5–7, and 8–11 years) in Steepbank and Wappau lakes, Alberta, Canada. Wr compares individual northern pike condition, using length at capture, to global reference populations (%). * Indicates significant differences for Wr (a). Simplified Wr trends for both lakes across age classes (b).
Figure 4. Relative weight (Wr) values of northern pike across age classes (2–4, 5–7, and 8–11 years) in Steepbank and Wappau lakes, Alberta, Canada. Wr compares individual northern pike condition, using length at capture, to global reference populations (%). * Indicates significant differences for Wr (a). Simplified Wr trends for both lakes across age classes (b).
Hydrobiology 04 00001 g004
Figure 5. Diet composition of northern pike from Steepbank and Wappau lakes in Alberta, Canada, showing normalized proportion of empty stomachs, piscivorous prey, conspecific prey, and macroinvertebrates across different age classes (2–4, 5–7, and 8–11 years). * Indicates overall significant differences in prey type proportions.
Figure 5. Diet composition of northern pike from Steepbank and Wappau lakes in Alberta, Canada, showing normalized proportion of empty stomachs, piscivorous prey, conspecific prey, and macroinvertebrates across different age classes (2–4, 5–7, and 8–11 years). * Indicates overall significant differences in prey type proportions.
Hydrobiology 04 00001 g005
Table 1. Study lakes in northern Alberta, including base parameters related to lake physiology and habitat characteristics. Lists each lake’s size in hectares, maximum depth in meters, mean summer pH with standard deviation, mean summer temperature in degrees Celsius with standard deviation, percentage of littoral zone covered by aquatic vegetation, mean epilimnetic dissolved oxygen (DO) in milligrams per liter with standard deviation, and Secchi depth in meters during summer sampling.
Table 1. Study lakes in northern Alberta, including base parameters related to lake physiology and habitat characteristics. Lists each lake’s size in hectares, maximum depth in meters, mean summer pH with standard deviation, mean summer temperature in degrees Celsius with standard deviation, percentage of littoral zone covered by aquatic vegetation, mean epilimnetic dissolved oxygen (DO) in milligrams per liter with standard deviation, and Secchi depth in meters during summer sampling.
LakeSize haMax Depth mMean Summer pH Mean Summer Temperature °C (1 m Steps)Littoral % Aquatic VegetationMean DO mg/LSecchi Depth m
Steepbank185.416 8.23 ± 0.4718.5 ± 0.686.38 ± 8.958.16 ± 0.092.25
Wappau576.66 8.66 ± 0.0318.4 ± 0.7118.04 ± 16.948.87 ± 1.571.125
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Theis, S.; Shirton, J.; Barbeau, M.; Ruppert, J.L.W.; Poesch, M.S. Growth and Diet of Northern Pike (Esox lucius) in Boreal Lakes: Implications for Ecosystem Management. Hydrobiology 2025, 4, 1. https://doi.org/10.3390/hydrobiology4010001

AMA Style

Theis S, Shirton J, Barbeau M, Ruppert JLW, Poesch MS. Growth and Diet of Northern Pike (Esox lucius) in Boreal Lakes: Implications for Ecosystem Management. Hydrobiology. 2025; 4(1):1. https://doi.org/10.3390/hydrobiology4010001

Chicago/Turabian Style

Theis, Sebastian, Jesse Shirton, Michael Barbeau, Jonathan L. W. Ruppert, and Mark S. Poesch. 2025. "Growth and Diet of Northern Pike (Esox lucius) in Boreal Lakes: Implications for Ecosystem Management" Hydrobiology 4, no. 1: 1. https://doi.org/10.3390/hydrobiology4010001

APA Style

Theis, S., Shirton, J., Barbeau, M., Ruppert, J. L. W., & Poesch, M. S. (2025). Growth and Diet of Northern Pike (Esox lucius) in Boreal Lakes: Implications for Ecosystem Management. Hydrobiology, 4(1), 1. https://doi.org/10.3390/hydrobiology4010001

Article Metrics

Back to TopTop