Literature DB >> 35598067

After the spawn and on the hook: Sea trout Salmo trutta biophysical responses to different components of catch and release in a coastal fishery.

Samuel A Blyth1, Shannon D Bower2.   

Abstract

This study investigated the biophysical responses of sea run brown trout Salmo trutta to catch-and-release in the coastal fishery around Gotland, Sweden. It used information recorded on individual angled S. trutta (n = 162), including fight time, handling time, total air exposure time, injury, bleeding, fish length, body condition, spawning status, water temperature, hook location and difficulty of hook removal. Reflex action mortality predictors (equilibrium, operculum beats, tail grab response, body flex response and vestibular-ocular response), tests of blood glucose and lactate, and observation of hooking injury were used to measure the relative impact of the angling event on the fish's physical state and stress experienced. The results of this study suggest low rates of post-release mortality and generally limited stress responses to angling events, and relatively high post-release survival supported by the recapture of many tagged S. trutta. However, a number of scenarios were identified in which stress responses are likely to be compounded and where anglers should take additional action to reduce sublethal physiological disturbances and the risk of delayed mortality. Particular care should be taken to limit cumulative total air exposure to <10 s, and to reduce handling time and risk of additional injury in angling events with extended fight times, when water temperatures >10°C, or where S. trutta show evidence of being physically compromised by injury or having recently spawned. The results also indicate the importance of using appropriately sized single hooks rather than larger treble hooks to reduce hooking injury and handling time during unhooking.
© 2022 The Authors. Journal of Fish Biology published by John Wiley & Sons Ltd on behalf of Fisheries Society of the British Isles.

Entities:  

Keywords:  angler behaviour; angling; catch-and-release; fish impairment; recreational fisheries; stakeholder collaboration

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Year:  2022        PMID: 35598067      PMCID: PMC9543446          DOI: 10.1111/jfb.15108

Source DB:  PubMed          Journal:  J Fish Biol        ISSN: 0022-1112            Impact factor:   2.504


INTRODUCTION

Recreational fishing, often referred to as ‘angling’ when a rod and reel are used, is an important and popular human–environment interaction, practiced by at least 220 million people globally, that provides substantial social and economic benefits (Arlinghaus et al., 2020; World Bank, 2012). Many of the fish that are caught in recreational fisheries are returned to the water presumably unharmed in a practice known as catch‐and‐release (C&R), which is performed voluntarily or to comply with fishing regulations (Arlinghaus et al., 2007). In Sweden and other European countries where fishing has a traditionally consumptive focus, the use of this management tool is relatively new and growing in popularity (Ferter et al., 2013; Stensland et al., 2013). Voluntary C&R is assumed or intended to allow anglers to have reduced biological impacts on target fish populations, while still enjoying many or most of the benefits associated with recreational fishing (Arlinghaus et al., 2007). Involuntary C&R is intended to protect or reduce the impacts of angling on vulnerable fish populations or sections thereof, often exemplified by rules that state anglers cannot keep particular species of fish, a particular sex of fish, or fish under a minimum size limit or outside a size window (Policansky, 2002). However, C&R remains controversial and is opposed by some groups who believe that released fish are unlikely to survive after the angling event (Aas et al., 2007; Arlinghaus, 2007; Arlinghaus et al., 2020). Salmonid fishes are an important target of recreational fishers around the world, and the effects of C&R on salmonids has been the focus of extensive research in lake and lotic environments, particularly anadromous species making spawning migrations (Havn et al., 2015; Joubert et al., 2020; Kerr et al., 2017; Lennox et al., 2015). In contrast, relatively few studies on C&R have looked at the biophysical responses of anadromous salmonids caught in coastal waters (Whitlock et al., 2016). Native to European freshwater and coastal ecosystems, the anadromous strain of brown trout known as sea trout Salmo trutta L. 1758 is an important element of recreational fisheries in several countries (Blicharska & Rönnbäck, 2018; Butler et al., 2009; Gundelund et al., 2020; Liu et al., 2019; Stensland et al., 2017). S. trutta attract thousands of anglers a year to fish in coastal areas, such as the Swedish island of Gotland, and in these fisheries C&R rates are particularly high (86%) (Blicharska & Rönnbäck, 2018). This is a relatively new tool for some stakeholders in this fishery and the country as a whole, and as a result best practices for releasing S. trutta are not necessarily widely known or engaged in by all anglers (Blyth & Rönnbäck, 2022; Hanindyawan Handoko, 2018). While there are many factors that can be considered universally important for post‐release survival, there are species‐ and fishery‐specific components that are more or less important on a case‐by‐case basis (Brownscombe et al., 2017). These components vary greatly and can include environmental factors (e.g., water temperature, capture depth), the biology of the individual or species of fish (e.g., spawning status, physical condition), the angling gear used (e.g., hook size, hook type), and the fishing and handling techniques (e.g., fight time, amount of air exposure, hook removal technique) (Arlinghaus et al., 2007; Brownscombe et al., 2017; Cooke & Suski, 2005). Understanding the importance of each of these factors is especially relevant when establishing fishery‐specific best practices for how and when to apply C&R, and when, in turn, communicating these best practices to anglers (Danylchuk et al., 2018). This can be investigated in wild fish in real angling situations through the measurement of blood samples and reflex impairment tests as proxies for angling‐related stress, mortality and other sublethal effects (nonlethal injuries, changes to the physiology or behaviour of the fish) (Brownscombe et al., 2017; Cooke & Sneddon, 2007; Davis, 2010). These methods also allow assessment of species in fisheries where prolonged observation after release is not practical or possible. The objective of this study is to identify which angler‐related (angling, handling and air exposure times), fish‐related (size, body condition and spawning status), or environmental (water and air temperature) factors have the greatest impact on stress levels [as measured by reflex action mortality predictors (RAMP) response, blood glucose and blood lactate levels] and angling‐related injuries experienced by S. trutta caught in the coastal fishery of Gotland. We expected that reflex impairment and stress levels would be higher in fish with poor physical condition, increase at high water temperatures and increase with angling, handling and air exposure time.

MATERIALS AND METHODS

Study site

Sampling for this study took place in May 2019 and between March and September 2020 in coastal waters around the island of Gotland, Sweden. Gotland is located in the central Baltic Sea and has a coastline of approximately 800 km (Figure 1). Tidal action is minimal in the Baltic Sea, but sea levels do change over longer time periods and were noted to vary between −29 and +50 cm during the study period (SMHI, 2021). Surface water temperatures measured at the time of capture ranged from 2 to 19°C during the study period. Salinity commonly varies between 0.6% and 0.8% in the region (SMHI, 2021).
FIGURE 1

Location of Gotland in the Baltic Sea and relative to the Swedish mainland

Location of Gotland in the Baltic Sea and relative to the Swedish mainland Regulations for coastal S. trutta angling around Gotland are limited to a minimum size limit (50 cm) and seasonal fishing closures around the mouths of spawning streams. No license is required for angling in coastal waters in Sweden. There is no limit to the number of S. trutta over 50 cm that an angler can retain and there are no restrictions on the type of angling gear that may be used (e.g., size of hooks, number of hooks, using barbless hooks). The number of S. trutta anglers fishing on Gotland annually has been estimated in the range of 2500–3700 individuals (Blicharska & Rönnbäck, 2018).

Capture and sampling

The sampling protocols followed in this study conform to national ethical standards for animal experiments, approved under decision Dnr 2529–2019 issued by the Linköping regional animal experiment ethics committee for the Swedish Board of Agriculture. Sea run brown trout were captured by anglers fishing with hook and line casting from shore or while wading in the sea. There were also two sea trout captured in a landing net by the researcher without angling. Individual anglers used either fly or spin fishing gear with their choice of fly or lure based on standard patterns that are currently in common use in this fishery. Flies were tied on single barbed hooks in sizes 8 to 1. Spin lures predominantly had one fixed barbed treble hook in size 4 or size 2, although a number of fish were also landed on lures with single hooks and line‐through lures. Seven and eight weight fly rods and medium action spinning rods were used. Angling was performed by experienced local anglers, local fishing guides and the supervised clients of local fishing guides, with the researcher present at all catches. This combination meant that all anglers handling fish in this study were considered to have intermediate or expert skill, which reduced the risk of accidental injury to the sampled fish, but also influenced the results towards being representative of a best‐case scenario for handling during C&R (Meka, 2004). Fight time (measured in seconds) was recorded as the elapsed time between hooking and landing in an appropriately sized, rubberized landing net. Initial handling time was recorded as the duration of time between landing of the fish and its transfer to the researcher for testing. During this handling time the anglers and guides were encouraged to handle the fish as they would under normal angling conditions to establish baselines for normal handling and air exposure times in this fishery. Air exposure was recorded as a cumulative value (in seconds) (Cook et al., 2015). To ensure proper animal care and avoid unnecessary mortality, air exposure was avoided when sampling at high water temperatures reducing the number of compounding influences on stress measurements from fish caught in these conditions and the chances of angling‐related mortality, as high water temperatures have already been shown to negatively impact post‐release survival of salmonids in a number of studies (Gale et al., 2013; Meka & McCormick, 2005; Twardek et al., 2018). At lower water temperatures longer than normal air exposure events were also simulated by holding fish out of the water in the landing net, or with wet hands and proper body support, to obtain a wider range of sampling times in cases where both angling and handling times were short and additional injuries were not immediately visible. Hooking location and difficulty of hook removal were both recorded as ordinal values from 0 to 5 (Table 1).
TABLE 1

Scoring system for hooking location

ScoreDescription
Hooking location0Unknown, when the hook came out before being observed and without leaving a readily visible mark
1Lip or corner of the mouth, the normal or ideal hooking location
2In the mouth, but not deep, or in and piercing through the chin
3Deep, in the tongue or contacting the gills
4Stapling, where two or more hooks of a treble hook are embedded and holding the mouth partially or completely shut
5Foul, hooked outside the mouth area
Difficulty of hook removal0Falling out on its own
1Simple pull, not needing to hold onto the fish
2Some work required, needing to hold the fish
3Challenging, multiple attempts needed, but no major injury from removal
4Challenging, multiple attempts needed, and lasting injury caused by hook removal
5Fish unlikely to survive unhooking
Scoring system for hooking location Upon transfer to the researcher, the fish were tested for reflex impairment in a landing net that was large enough to allow free movement of the fish (Westin W3 CR Landing Net XL, 70 cm wide × 85 cm long × 80 cm deep), while keeping the gills of the fish in the water for all testing. The tail grab response was tested by the researcher gripping the caudal peduncle of the fully submerged fish and classified as unimpaired if a swim‐burst response occurred within 5 s. The body flex response was tested by the researcher gently gripping the submerged fish around the middle of its body, and classified as unimpaired if the fish flexed the lateral musculature that would curve the body into a C shape within 5 s. Vertical orientation was tested by placing the submerged trout upside‐down, and classified as unimpaired if the fish could right itself within 5 s. The vesitibulo‐ocular reflex (VOR) was classified as unimpaired if the eyes of the trout tracked or followed the horizon when its body was rotated side to side along its central axis. Operculum beats were classified as unimpaired if they were observed to continue in unison and at a regular rhythm throughout the testing of the other reflexes. Reflex measurements were validated on an initial sample of 21 trout for which times were measured to the nearest second for the tail grab, body flex and vertical orientation reflexes, while operculum beats were observed over a longer period. This validation confirmed that the testing protocol was suitable for sea run brown trout. Individual reflexes were categorized as impaired and assigned a score of 0 or unimpaired and assigned a score of 1. Tail grab, body flex and vertical orientation were all recorded as unimpaired if the reflex occurred within 5 s. During the reflex testing process, the fish were observed for new or old injuries, any bleeding (recorded as ‘none’, ‘some’ or ‘lots’), clipped adipose fins or evidence of having recently spawned. Spawning status was assessed by body colour, body condition, lesions or scarring on the fins, and residual kypes or hooked mouths on male trout. Kelts or trout that have recently spawned are often more brown, bronze or yellow than the ‘silver’ trout that have not done so. They also tend to be thinner and less heavily muscled, having invested heavily in the reproductive process, and have scarring on their fins or noses from contact with stones in the spawning streams. A clipped adipose fin is an indication that the trout was raised in a hatchery and released elsewhere around the Baltic before migrating to Gotland, as no hatcheries for S. trutta operate on the island (Sportfiskarna, 2020). At approximately 2 min after transfer to the researcher, and following the initial reflex test and visual assessment, a blood sample was taken from the caudal vasculature of the fish using a lithium heparin‐coated syringe (4 ml Vacutainer) (Lawrence et al., 2020). The timing of the blood sample at 2 min after what would have been the time of release was intended to capture the slightly delayed change in blood glucose and lactate, but without unnecessarily extending the handling and testing time for the fish (Lawrence et al., 2020). Fork length (L F) was measured to the nearest centimetre with the fish remaining in the water. Body condition was estimated on an ordinal scale from 0 to 4 (Table 2). A numbered T‐bar anchor FLOY TAG was inserted next to the dorsal fin to mark the trout in case of future recapture (FLOY TAG Inc., Seattle, WA, USA). Blood lactate and glucose were analysed in the field (Accutrend Plus, Roche Diagnostics, Mannheim, Germany).
TABLE 2

Scoring of Salmo trutta body condition

ScoreDescription
Body condition0Emaciated
1Skinny (back and belly running parallel), lacking muscle tone
2Normal or average body, firm muscles
3Noticeably thick, and well‐muscled or fat
4Obese
Scoring of Salmo trutta body condition Photos were taken of noticeable injuries and scars to aid in documentation of recovery rates in recaptured fish. A second reflex test was performed immediately before release to evaluate the influence of increased handling time and the testing process on the physical status of the trout.

Data analysis

Several general linear regression models were constructed to determine the effects of fight time, handling time, air exposure, hook location, hook removal difficulty, injury, bleeding, fork length, body condition, spawning status and water temperature on each of the three dependent variables blood lactate, blood glucose and reflex impairment (McLean et al., 2020; Meka & McCormick, 2005). Before stepwise model selection, Spearman rank correlation was used to check for strong relationships between the independent variables, and all the modelled variables were confirmed to have generally linear responses to one another. In cases where significant correlation was identified between variables, such as between length and angling time, both variables were assessed as to whether or not they would have independent impacts on release outcomes. In addition, characteristics of the various independent variables were used to create subsets of the data to further isolate and identify the impacts of each variable, provided there were at least 30 fish fitting the characteristics of the subset to meet assumptions of normalcy. For the regression analysis RAMP scores were transformed to a score of 1.0 for unimpaired fish, 0.5 for slightly impaired fish where only one reflex was absent and 0.0 for moderately to heavily impaired fish to correct for the imbalanced distribution of scores. A full model (with all 11 independent variables) and a null model (dependent variable ~1) were defined, then both forward and backward stepwise selection of terms were used to establish 2048 candidate models per dependent variable. The candidate models were compared using Akaike information criterion (AIC) to define a final model with the lowest AIC score as the one that best describes the data. The parameters of this final model were assessed at significance of P = 0.05. An analysis of variance was performed for the individual terms in the final model, and the model assumptions were checked through plotting of the residuals and plotting the relationship between predicted and actual response values. This process was performed for the total group of 162 fish, as well as approximately 50 different subsets based on exploratory categorization within the independent variables, resulting in the definition of 376 final models for comparison through the multimodel inference approach. These final models were then evaluated to identify patterns and thresholds where the relationships between dependent and independent variables would result in different stress responses from the fish. Spearman rank correlations were used as a nonparametric test to investigate hooking‐related results and identify relationships between hook type, hooking location, difficulty of hook removal, injury, bleeding and physical characteristics of the fish. All statistical analyses were conducted using RStudio (v. 1.1.442) and R (v. 4.0.2) (R Core Development Team, 2020; RStudio Team, 2020). R code for conducting multiple regression analyses and checking model fit were adapted from the R Companion to the Handbook of Biological Statistics (Mangiafico, 2015).

RESULTS

A total of 162 trout ranging from 34 to 87 cm L F (51.85 ± 9.70 cm), from which blood samples were obtained and analysed, were captured at water temperatures ranging from 2 to 19°C (8.90 ± 3.85°C). Of these fish, 95.06% (n = 154) were wild and 21.60% (n = 35) displayed evidence of having spawned during the previous season. The mean fight time was 91.79 ± 67.36 s (range 0–425 s) and was not significantly different between spin and fly anglers (P > 0.05). The mean handling time before testing was 212.61 ± 108.26 s (range 47–764 s) and the mean total air exposure before testing was 19.68 ± 24.66 s (range 0–155 s). The mean blood lactate was 3.12 ± 1.31 mg/dl (range 0.79–10.20 mg/dl) and the mean blood glucose was 59.19 mmol/l (range 24–140 mmol/l). Fight time was positively correlated with fish length (r s = 0.56, P < 0.001) and body condition (r s = 0.20, P = 0.011). Initial reflex tests showed 48.15% (n = 78) of the trout with no reflex impairment, 35.19% (n = 57) with minor reflex impairment where only a single reflex was impaired, 14.82% (n = 24) showed moderate reflex impairment where two reflexes were impaired and 1.85% (n = 3) showed impairment of all five tested reflexes. During initial reflex testing the tail grab response was impaired in 31.48% (n = 51) of the trout, the body flex response was impaired in 24.69% (n = 40), vertical orientation was impaired in 14.20% (n = 23), operculum beats were impaired in 1.85% (n = 3) and VOR was impaired in 1.85% (n = 3). Final reflex tests before release showed 57.41% (n = 93) of the trout with no reflex impairment, 32.72% (n = 53) with single reflex impairment, 7.41% (n = 12) with two reflexes impaired, 1.23% (n = 2) with three reflexes impaired and 1.23% (n = 2) with total reflex impairment. The observed mortality rate was 1.23% (n = 2) and in both cases total reflex impairment occurred during final reflex testing. During final reflex testing, the tail grab response was impaired in 28.40% (n = 46) of the trout, the body flex response was impaired in 17.28% (n = 28), vertical orientation was impaired in 9.26% (n = 15), operculum beats were impaired in 1.23% (n = 2) and VOR was impaired in 1.23% (n = 2). Between initial and final reflex test reductions in impairment were recorded for 31.48% (n = 51) of the trout, stable levels of impairment were recorded for 50.00% (n = 81) and increased impairment was recorded for 18.52% (n = 30). There were no injuries recorded for 41.36% (n = 67) of the tested trout. Minor injuries, such as healed scars (from spawning or previous angling events), small visible punctures or very slight tearing from hooking were present on 46.30% (n = 75) of the trout. Moderate injury, such as more extensive scarring or sores from spawning, slight tearing from hooking or damage around the eye was present on 9.26% (n = 15) of the trout. Severe injuries, such as puncture wounds from predators and serious lacerations, were present on 3.09% (n = 5). No angling‐induced bleeding was recorded from 78.40% (n = 127) of the trout, some bleeding was recorded from 16.05% (n = 26) and lots of bleeding was recorded from 5.56% (n = 9). Having spawned in the previous season was correlated significantly with the presence of some level of injury (r s = 0.31, P < 0.001) as well as reduced body condition (r s = −0.26, P < 0.001).

Regression analysis

Fight time was a significant explanatory variable for blood lactate levels overall and in most groups of fish, but was less significant for trout under 50 cm (t = 5.60, P < 0.001; t = 2.02, P = 0.048, respectively) and was not a significant explanatory variable for trout where fight time was ≤90 s (Table 3). For fish with longer fight times (>90 s) the relative impacts of other explanatory variables increased, with significant impacts on blood glucose from air exposure, water temperature, length, body condition and fight time (t = −2.08, P = 0.042; t = 2.93, P = 0.048; t = −2.15, P = 0.036; t = 2.83, P = 0.006; t = 2.69, P = 0.009, respectively). With fight time >90 s impacts of water temperature and bleeding on RAMP scores also increased (t = 2.47, P = 0.016; t = 2.87, P = 0.006, respectively).
TABLE 3

Multiple regression outputs for Salmo trutta blood lactate, blood glucose and RAMP scores

GroupDependent variableIndependent variableEstimateStd. error t valuePr(>|t|)
Overall (n = 162)Lactate (adj R 2 = 0.22)(Intercept)1.350.343.930.00***
Fight time0.010.005.600.00***
Handling time0.000.003.380.00***
Water temperature0.050.022.050.04*
Glucose (adj R 2 = 0.02)(Intercept)48.895.129.56<2e‐16***
Body condition3.732.391.560.12
Fight time0.030.021.450.15
RAMP (adj R 2 = 0.10)(Intercept)−0.160.16−1.010.31
Bleeding0.130.052.580.01*
Length0.010.002.140.03*
Injury0.080.042.020.05*
Water temperature0.010.011.510.13
Unspawned (n = 127)Lactate (adj R 2 = 0.15)(Intercept)2.310.307.830.00***
Fight time0.010.004.070.00***
Handling time0.000.002.580.01*
Hook removal−0.160.09−1.830.07
Glucose (adj R 2 = 0.01)(Intercept)56.672.5222.44<2e‐16***
Fight time0.030.021.450.15
RAMP (adj R 2 = 0.09)(Intercept)−0.050.16−0.320.75
Bleeding0.170.053.130.00**
Length0.010.002.100.04*
Recently spawned (n = 35)Lactate (adj R 2 = 0.59)(Intercept)−1.000.71−1.420.17
Fight time0.010.005.490.00***
Water temperature0.170.053.680.00***
Hook location0.470.232.070.05*
Handling time0.000.002.010.05
Glucose (adj R 2 = 0.32)(Intercept)−16.0923.30−0.690.50
Body condition10.143.842.640.01*
Handling time0.060.022.630.01*
Air exposure−0.240.09−2.540.02*
Length0.790.362.210.04*
Hook location8.074.121.960.06
Hook removal−3.752.13−1.760.09
RAMP (adj R 2 = 0.04)(Intercept)0.200.161.260.22
Injury0.200.131.540.13
Fork length <50 cm (n = 65)Lactate (adj R 2 = 0.08)(Intercept)2.330.386.120.00***
Handling time0.000.002.260.03*
Fight time0.010.002.020.05*
Hook removal−0.200.11−1.820.07
Glucose (adj R 2 = 0.02)(Intercept)59.792.5923.10<2e‐16***
Bleeding−5.563.94−1.410.16
RAMP (adj R 2 = 0.07)(Intercept)−0.520.41−1.250.21
Length0.020.011.840.07
Injury0.090.051.730.09
Fork length ≥50 cm (n = 97)Lactate (adj R 2 = 0.28)(Intercept)0.710.521.380.17
Fight time0.010.005.420.00***
Handling time0.000.002.560.01*
Water temperature0.080.032.500.01*
Glucose (adj R 2 = 0.02)(Intercept)55.842.7520.32<2e‐16***
Fight time0.040.021.760.08
RAMP (adj R 2 = 0.14)(Intercept)−0.360.36−0.990.33
Bleeding0.220.073.300.00**
Water temp0.020.012.280.03*
Length0.010.011.400.16
Water temperature <10°C (n = 118)Lactate (adj R 2 = 0.24)(Intercept)1.690.266.420.00***
Fight time0.010.004.340.00***
Handling time0.000.003.730.00***
Glucose (adj R 2 = 0.06)(Intercept)74.555.7712.920.00***
Water temperature−2.270.79−2.860.01**
RAMP (adj R 2 = 0.08)(Intercept)0.230.045.340.00***
Bleeding0.170.062.720.01**
Injury0.070.041.630.11
Water temperature ≥10°C (n = 44)Lactate (adj R 2 = 0.27)(Intercept)3.260.774.210.00***
Fight time0.010.004.260.00***
Body condition−0.660.41−1.620.11
Glucose (adj R 2 = 0.38)(Intercept)56.4812.944.360.00***
Fight time0.100.042.500.02*
Body condition12.334.952.490.02*
Length−0.620.23−2.740.01**
Bleeding−8.663.27−2.650.01*
Injury7.953.532.250.03*
RAMP (adj R 2 = 0.28)(Intercept)−0.590.30−1.940.06
Length0.010.012.280.03*
Air exposure0.010.002.680.01*
Fight time0.000.002.380.02*
Fight time ≤90 s (n = 95)Lactate (adj R 2 = 0.11)(Intercept)2.250.2110.860.00***
Handling time0.000.003.400.00***
Spawned−0.320.22−1.410.16
Glucose (adj R 2 = 0.06)(Intercept)61.896.579.430.00***
Fight time0.190.092.210.03*
Water temperature−1.010.54−1.850.07
Hook location−2.731.94−1.400.16
RAMP (adj R 2 = 0.12)(Intercept)0.000.090.050.96
Injury0.150.053.160.00**
Fight time0.000.002.120.04*
Fight time >90 s (n = 67)Lactate (adj R 2 = 0.20)(Intercept)0.800.701.140.26
Fight time0.010.003.880.00***
Water temperature0.080.042.040.05*
Air exposure0.010.011.750.08
Glucose (adj R 2 = 0.26)(Intercept)33.8411.942.830.01**
Water temperature1.090.372.930.00**
Fight time0.070.032.690.01**
Body condition8.803.112.830.01**
Handling time0.060.023.090.00**
Length−0.440.20−2.150.04*
Air exposure−0.180.09−2.080.04*
RAMP (adj R 2 = 0.15)(Intercept)0.150.101.430.16
Bleeding0.200.072.870.01**
Water temperature0.020.012.470.02*
Multiple regression outputs for Salmo trutta blood lactate, blood glucose and RAMP scores Higher water temperatures (≥10°C) increased the influences of bleeding, injury, body condition, fish length and fight time on blood glucose levels (t = −2.65, P = 0.012; t = 2.25, P = 0.030; t = 2.49, P = 0.017; t = −2.74, P = 0.009; t = 2.50, P = 0.017, respectively), as well as the influence of air exposure, length and fight time on RAMP scores (Table 3) (t = 2.68, P = 0.011; t = 2.28, P = 0.028; t = 2.38, P = 0.022, respectively). Larger trout (L F ≥ 50 cm) showed greater influences of water temperature on blood lactate and RAMP score (t = 2.50, P = 0.014; t = 2.28, P = 0.025, respectively) than smaller trout (L F < 50 cm). Trout that showed evidence of having recently spawned had increased influences of handling time, air exposure, length and body condition on blood glucose levels when compared to unspawned fish (t = 2.63, P = 0.014; t = −2.54, P = 0.017; t = 2.21, P = 0.036; t = 2.64, P = 0.013, respectively).

Hooking results

Of the 162 fish tested, 51.85% (n = 84) were caught using fly fishing gear with single hooks, 4.94% (n = 8) were caught with spinning gear using single hooks and 41.98% (n = 68) were caught with spinning gear using treble hooks. Two additional S. trutta were captured in landing nets without angling (Table 4). The number of hooks on the lure showed significant positive correlation with hooking location (r s = 0.21, P = 0.009). Hooking location and hook removal difficulty were significantly correlated with each other (r s = 0.52, P < 0.001) (Table 5). Hooking location and difficulty of hook removal were not significantly correlated with fish length or body condition (P > 0.05), but in cases of stapling by treble hooks it was often more challenging to remove the hook from smaller fish. Bleeding showed significant positive correlation with hook location (r s = 0.19, P = 0.016) and difficulty of hook removal (r s = 0.21, P = 0.007). Occasionally, the large hooks that were favoured by the anglers participating in this study fully pierced the chin or upper jaw of the fish. The exact number of cases where this occurred is not clear, as this damage was not always visible when the researcher received the fish, and as a result quantitative data were not recorded on this phenomenon.
TABLE 4

Number of Salmo trutta caught by fly angling with single hooks, spin angling with single hooks and spin angling with treble hooks organized by hook location and hook removal difficulty

Hook locationHook removal difficultyFlySpin
Single hookSingle hookTreble hookSpin totalGrand total
#%#%#%#%#%
UnknownTotal33.6%22.9%22.6%53.1%
03100.0%2100.0%2100.0%5100.0%
Lip or cornerTotal6172.6%675.0%4261.8%4863.2%10968.1%
058.2%1126.2%1122.9%1614.7%
12744.3%350.0%921.4%1225.0%3935.8%
22337.7%116.7%1331.0%1429.2%3733.9%
369.8%233.3%819.0%1020.8%1614.7%
412.4%12.1%10.9%
In‐not deep/through chinTotal1517.9%225.0%57.4%79.2%2213.8%
0150.0%114.3%14.5%
1533.3%522.7%
216.7%150.0%120.0%228.6%313.6%
3640.0%120.0%114.3%731.8%
4320.0%360.0%342.9%627.3%
Deep/Tongue/Gill contactTotal44.8%1014.7%1013.2%148.8%
2440.0%440.0%428.6%
34100.0%440.0%440.0%857.1%
4220.0%220.0%214.3%
StapledTotal710.3%79.2%74.4%
1114.3%114.3%114.3%
3228.6%228.6%228.6%
4342.9%342.9%342.9%
5114.3%114.3%114.3%
FoulTotal11.2%22.9%22.6%31.9%
0150.0%150.0%133.3%
11100.0%133.3%
4150.0%150.0%133.3%
Grand total8452.5%85.0%6842.5%7647.5%160100.0%

Note: Hook removal difficulty classifications: 0, falling out on its own; 1, simple pull, not needing to hold onto the fish; 2, some work required, needing to hold the fish; 3, challenging, multiple attempts needed, but no major injury from removal; 4, challenging, multiple attempts needed and lasting injury caused by hook removal; 5, fish unlikely to survive unhooking.

TABLE 5

Difficulty of hook removal by gear type and number of hooks on lure

Hook removal difficultyFlySpin
Single hookSingle hookTreble hookSpin totalGrand total
#%#%#%#%#%
089.5%112.5%1420.6%1519.7%2314.4%
13339.3%337.5%1014.7%1317.1%4628.8%
22428.6%225.0%1826.5%2026.3%4427.5%
31619.0%225.0%1522.1%1722.4%3320.6%
433.6%1014.7%1013.2%138.1%
511.5%11.3%10.6%
Total8452.5%85.0%6842.5%7647.5%160100.0%
Number of Salmo trutta caught by fly angling with single hooks, spin angling with single hooks and spin angling with treble hooks organized by hook location and hook removal difficulty Note: Hook removal difficulty classifications: 0, falling out on its own; 1, simple pull, not needing to hold onto the fish; 2, some work required, needing to hold the fish; 3, challenging, multiple attempts needed, but no major injury from removal; 4, challenging, multiple attempts needed and lasting injury caused by hook removal; 5, fish unlikely to survive unhooking. Difficulty of hook removal by gear type and number of hooks on lure

Reports of tagged fish

A total of 157 S. trutta were tagged during this experiment. As of the end of April 2021, 11 had been recaptured and identified by tag number, and an additional three were recaptured with tags that were unreadable or with tag numbers that were not recorded before the fish was released a second time, making a recapture rate of 8.92%. The furthest distance travelled between captures was at least 250 km between Gotland and Estonia over a period of 6 months. The shortest distances were fish recaptured on or near their initial capture site. The shortest elapsed time between captures was 2 days with >15 km travelled. One trout was recaptured in a fish trap in one of the spawning streams on Gotland approximately 80 km from where it was tagged, and then captured again by anglers after an additional 4 months and in the general location of the initial tagging. Only two S. trutta were reported as captured by net fishers around Gotland and a net fisher in Estonia reported one. Of the 11 fish identified by tag number four trout showed no reflex impairment, six showed minor reflex impairment where only a single reflex was impaired and one showed moderate reflex impairment where two reflexes were impaired. In the reflex tests performed after sampling, two of the recaptured trout demonstrated impairment of three reflexes. One of the recaptured fish had an initial hook removal score of 4 (challenging, multiple attempts needed and lasting injury caused by hook removal), four had scores of 3 (challenging, multiple attempts needed, but no major injury from removal) and the other six had scores of 1 or 2. No injuries were recorded at the time of initial capture for four of these recaptured fish, while the other seven were recorded as having minor injuries. Minor bleeding was recorded during the initial capture for only one of these fish.

DISCUSSION

Our study revealed that properly performed C&R is likely to have a minimal negative impact on the majority of S. trutta caught in the coastal fishery around Gotland, suggesting very low levels of mortality, supported by the number of recaptured S. trutta that were reported. In addition, this study indicates that there are a number of circumstances where stress influences for S. trutta are compounded, including angling events with higher water temperatures, longer fight times or where a pre‐existing injury or recent spawning physically compromises the fish. In these situations, anglers should keep air exposure, handling and fight times to a minimum. Moreover, the use of single rather than treble hooks decreases hooking‐related injuries and reduces the amount of handling required to unhook fish. The recapture rate of 8.92% in this study can be compared to a 4% recapture rate for Atlantic salmon Salmo salar L. 1758 in a similar study that was paired with radio tagging of fish, which only showed a potential 3% mortality post release, suggesting a higher rate of survival for properly handled S. trutta (Thorstad et al., 2003). It is possible that unobserved delayed mortality did occur in this study, as fish were not held after testing to observe mortality rates. However, several of the recaptured S. trutta were initially captured and tested under varying combinations of factors that call for additional care on the part of anglers, further supporting the conclusion of S. trutta resilience in response to C&R in this fishery. Increased blood lactate levels were generally associated with fight time, which is consistent with results from other studies of salmonids (Meka & McCormick, 2005; Twardek et al., 2018). Notably longer fight times were also an explanatory variable for higher blood glucose and impaired reflexes of S. trutta caught and tested when water temperature was ≥10°C. There was no significant difference in fight time between fly and spin anglers in this study. Anglers sometimes needing to wait for the researcher or others to assist with netting the S. trutta can partially explain this. However, it is more likely due to the increased casting distance possible with spin fishing gear and the number of S. trutta hooked further from spin anglers offsetting the speed at which it is possible to land angled fish. The use of appropriately sized and rubberized fishing nets to land fish in the study, rather than landing fish by tail grab, is factor that has been shown to reduce fight times in a study of C&R in steelhead Oncorhynchus mykiss (Walbaum 1792) angling (Twardek et al., 2018). This net choice for landing S. trutta can allow for less air exposure, reduced handling stress for the fish, lower levels of elevated glucose, less fin fraying, scale and mucus loss, as well as the net operating as a recovery bag prior to release (Brownscombe et al., 2013; Liu et al., 2014; Lizée et al., 2018; Twardek et al., 2018). The small sample size at higher water temperatures (≥14°C, n = 23) made it difficult to fully investigate the compounding effects of other factors on stress responses of S. trutta caught under such conditions, as air exposure and other influences were limited in an attempt to isolate the impact of water temperature and to reduce the risk of post‐release mortality occurring as part of this study. Where post‐release mortality of S. salar caught in rivers during their spawning migrations has been measured in relation to water temperature, observations have shown marked increases in mortality in cases where the water temperature was over 18°C (Havn et al., 2015). Sublethal effects on the behaviour of salmonids have also been recorded at lower water temperatures, with greater post‐release downstream movements of S. salar occurring when caught and released at 13.0–14.5°C than at 10.0–12.5°C (Thorstad et al., 2003). The increase in the number of independent variables identified as influencing blood glucose and RAMP scores at ≥10°C suggest that these trends would continue compounding stress responses at higher water temperatures. This is consistent with results in several studies of salmonids and other species (Baisez et al., 2011; Keretz et al., 2018; Stålhammar et al., 2014; Van Leeuwen et al., 2020). However, S. trutta caught and tested at temperatures ≥14°C were caught in areas with intense wave action that would subsequently have relatively high levels of dissolved oxygen, and which might offset some of the negative impacts of higher water temperature. In addition, the higher water temperature sampling occurred at times of the year when the fish were in prime physical condition and not facing stress related to winter temperatures or spawning, which was evident in the absence of lower body condition scores or having recently spawned. Many studies of anadromous salmonids and C&R have been performed on fish during their spawning migrations into freshwater, with angling events occurring before reproduction (Havn et al., 2015; Lennox et al., 2015; Robinson et al., 2015; Thorstad et al., 2007; Twardek et al., 2019; Whitney et al., 2019). However, to our knowledge, the impact of angling events on post‐spawn fish has not been studied extensively in S. trutta or other salmonids. Post‐spawn S. trutta are often released as their poorer body condition makes them less attractive for consumption, but also as it is expected that an individual that has spawned once will do so again (Blyth & Rönnbäck, 2022). This is supported by evidence of S. trutta returning to spawning streams to reproduce several times over the course of their life on Gotland (Gydemo et al., 1980; Landergren & Vallin, 1998). Such fish also tend to be longer and more visually distinct due to colouring and males having kypes, which are factors that could increase anglers' motivation to photograph these catches. In this study, post‐spawn S. trutta were shown to be more sensitive to water temperature, handling time, air exposure, hook location, body condition and length than fish that had not recently spawned. On the other hand, due to generally having poorer body condition than unspawned individuals, these fish tended not to fight as hard, leading to a shorter fight time, which may offset some of the angling‐related stress. In this study both fish length and body condition were correlated with longer fight times, which is consistent with other studies (Meka & McCormick, 2005; Thorstad et al., 2003). These are both factors that contribute to anglers' desire to take photos of their catch and potentially subject the fish to longer air exposure, more handling and subsequently more stress (Blyth & Rönnbäck, 2022; Lamansky & Meyer, 2016; Roth et al., 2018). Air exposure after extended fight times has been shown to increase mortality in O. mykiss and has been demonstrated to be a component of delayed mortality in bull trout Salvelinus confluentus (Suckley 1859) (Ferguson & Tufts, 1992; Joubert et al., 2020). It has also been shown to increase sublethal behavioural impacts in S. salar, measured as downstream movement after release (Thorstad et al., 2003). Conversely, a study by Lennox et al. (2015) showed similar downstream movement between a control group and S. salar experiencing C&R, where air exposure is not mentioned during the C&R events. For the S. trutta sampled in this study, the stable values between the initial and final reflex tests for 50.00% of the fish, and the improving reflex scores for an additional 31.48%, suggests that the lack of air exposure during testing may have offset additional stress resulting from this process. This could imply that maintaining little or no air exposure for angled S. trutta may have an even greater post‐release impact than is suggested by the regression analysis in this study. A suggested air exposure threshold of 10 s or less has been identified as an important means of reducing post‐release mortality and sublethal impacts for angled O. mykiss in a river fishery during their spawning migration (Twardek et al., 2018). Air exposure times for recaptured S. trutta in this study were often over this 10 s threshold and the results suggest that it is not the most significant determining factor for the success of C&R in this fishery. However, the 10 s or less threshold would be beneficial in reducing the compounding influences of stress factors on angled S. trutta and therefore would be a logical recommendation to follow for this fishery (Cook et al., 2015). Photographing the catch has been shown to increase air exposure in studies of multiple species and fish sizes (Lamansky & Meyer, 2016; Roth et al., 2018). One of these studies showed that average air exposure for smaller fish was only 22.5 s, while for larger fish the average total exposure time was 36.0 s (Lamansky & Meyer, 2016). These findings are consistent with observations in the Gotland S. trutta fishery during this study and in an earlier survey of S. trutta anglers, where smaller fish are often released without being photographed, although they may be exposed to the air during unhooking and the relative challenge of catching S. trutta on Gotland may lead some anglers to commemorate the event with photographs regardless of fish size (Blyth & Rönnbäck, 2022). However, even for larger individuals air exposure in the Gotland fishery could be kept relatively low, as anglers are usually in the water with the fish and have the opportunity to keep the fish in the water for unhooking in most circumstances. This is emphasised by the fact that in this study the reflex testing, blood sampling, tagging, length measurements and inspection of the fish for injury could all be performed without exposing the gills of the fish to the air. A study comparing use of single hooks with both spin and fly‐fishing gear showed similar injury rates for trout caught by both gear types, and that differences in hooking injury are more significantly related to whether hooks are barbed or not (Meka, 2004). This supports the conclusion that the difference in hook location and difficulty of removal in this study is related more to the difference in the number of hooks (treble versus single) than to the overall fishing technique. This is in line with a study comparing brook trout Salvelinus fontinalis (Mitchill 1814) caught with actively retrieved lures using treble hooks to lures using single hooks that has demonstrated treble hooks being associated with increased rates of deep hooking, bleeding and delayed mortality in S. fontinalis (Kerr et al., 2017; Nuhfer & Alexander, 1992). Hooking in sensitive locations has been shown to cause higher rates of bleeding in angled salmonids and to be a more of an issue for smaller fish than for larger (Meka, 2004). Although this study does not have the data to support rates of delayed mortality, treble hooks did relate to higher rates of deep hooking, more difficult hook removal and extended handling times, which would negatively influence the success of the release. Further investigation regarding the levels of hooking injury and difficulty of hook removal relative to the hook size for both single and treble hooks would be beneficial for informing gear recommendations in this fishery. The results of this study indicate several clear drivers of angling‐related stress responses for S. trutta, but also a high degree of intraspecific variation in which factors appear to be driving reflex impairment and changes to blood chemistry. Some of this variation can be attributed to the lack of control over what was happening to the fish prior to the angling event, and physical challenges around the process of sampling and testing in the field. The use of stepwise multiple regression allowed for the comparison of categorical, ordinal and interval measurement variables with some flexibility in sensitivity to deviations from assumptions of homoscedasticity and perfect normal distribution. This choice of analysis was intended to allow the inclusion of as many variables into the model selection process as was reasonably possible. However, the results generated with this method should only be interpreted as the suggestion of patterns in the drivers of stress responses, each of which warrants further investigation under more controlled situations that would allow for more rigorous hypothesis testing to determine more detailed thresholds for C&R‐related drivers of stress in S. trutta. The current regulations in the coastal S. trutta fishery show a relatively limited formal focus on improving C&R outcomes for S. trutta. However, studies have shown that anglers will improve their behaviour and adopt practices that improve the health of released fish if given appropriate guidance, and that anglers will be more likely to release fish if they think that they know how to handle them properly (Mannheim et al., 2018; Stensland et al., 2013). In this context, flexible systems of interpersonal sanctioning and the institutionalizing of best practices for C&R have demonstrated the potential to reduce unintended mortality and sublethal impacts on released fish (Chapman et al., 2018; Danylchuk et al., 2018; Guckian et al., 2018). Trends in fishing‐related social media in Sweden suggest that this practice is underway in the country, but at this stage standards do not appear to be coordinated between organizations or tailored to the needs of specific fisheries (Hanindyawan Handoko, 2018). Regional projects, such as Retrout, focus on the development and sustainable management of coastal fishing tourism around the Baltic Sea with a focus on S. trutta (Nigell, 2020). Within the Retrout project, an ethical code for sustainable interaction with fishery resources has been established for fishing tourism businesses, such as fishing guides (Interreg, 2021). Informing such an ethical code with species‐specific best practices for C&R would give an important toolkit to key players and role models in the recreational fishing industry and community. Future work examining the relationships between the sizes of fish caught by anglers, which fish are released and why, and the sizes of S. trutta returning to spawning streams would help to clarify and quantify the impacts of current C&R practices and the benefits to fish stocks and anglers that could result from any actions that lead to improved outcomes for released fish.

CONCLUSION

The results of this study indicate that C&R can be used successfully as a management tool in the S. trutta fishery around Gotland, with high rates of survival for released fish. The utility of this tool can be enhanced if anglers take particular care to limit cumulative total air exposure to <10 s (including when unhooking, during any photographing of the catch or any other air exposure), reduce handling time and avoid any actions that increase risk of additional injury, such as bringing the fish onto land. These actions are particularly important in angling events with long fight times, water temperatures >10°C or where S. trutta show evidence of being physically compromised by injury or having recently spawned. The results also indicate the importance of using appropriately sized single hooks, rather than larger treble hooks, to reduce hooking injury and handling time during unhooking. Further research regarding hook size, and in particular hook gape, would be beneficial before making more detailed recommendations on the ideal gear choice for anglers in this fishery.

CONFLICTS OF INTEREST

Authors declare no competing interests.

CONTRIBUTIONS

S.A.B. collected, processed and analysed the data, and led the writing of the manuscript. S.D.B. conceptualized and supervised the study, and contributed to data analysis and to writing various drafts of the manuscript. Figure S1 Actual blood lactate, blood glucose and RAMP scores collected from 162 Salmo trutta after a catch‐and‐release angling event around the Swedish island of Gotland in the Baltic Sea, plotted relative to predicted values from the most parsimonious linear regression model for each dependent variable and selected subgroups of fish. Blood lactate is presented in mg/dl, blood glucose is presented in mmol/l and RAMP values are unitless. The solid line represents the fitted linear model and shaded areas are the 95% confidence limits. The independent variables contributing to each final model and the associated adjusted R‐squared and significance values are presented in Table 3 Click here for additional data file.
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