The study sampled 917 individuals of B. euxini at monthly intervals, obtaining data on various population parameters. The size and weight distributions for females and males were as follows: 26.0–55.0 cm (average of 38.37 ± 0.192 cm) and 18.67-230.35 g (average of 64.62 ± 1.209 g) for females, and 26.5–48.0 cm (average of 35.39 ± 0.179 cm) and 23.13-125.12 g (average of 48.06 ± 0.851 g) for males. The size and weight distribution of the garfsh have been reported respectively as, In the Mediterranean, Chaari et al. (2022) reported a range of 24.2–55 cm (with an average of 40.2 ± 5.9 cm) for females and 25.8–52.5 cm (with an average of 40.0 ± 4.5 cm) for males. In the Black Sea, Çayır & Bostancı (2022) reported a range of 30.4–44.5 cm and 32.6–92.0 g, and in the Marmara Sea, a range of 27.9–51.6 cm and 15.4–91.6 g. In the Black Sea, Bilgin et al. (2014) reported a range of 24.7–65.1 cm (with an average of 39.10 ± 0.248 cm) for females and 22.2–55.3 cm (with an average of 35.2 ± 0.209 cm) for males.
The average size and weight values of all the fish examined in the study align with those reported in previous research. The female-to-male ratio in this study is determined to be 1:1.81, contrasting with Chaari et al. (2022) reporting 1:2.86, Bilgin et al. (2014) reporting 1:1.04, and Kaya (2018) reporting 1:1.5. The presence of an exponential relationship between fish length and weight signifies the extent to which weight increases relative to the growth in length, consequently influencing changes in body shape. Parameters of the length-weight relationship exhibit variability not only across different species but also within the same species across diverse factors such as years, populations in distinct habitats, genders, seasons, and life stages (Çetinkaya, 1989). The length-weight relationship parameters from the present study, along with those from various other studies, are summarized in Table 4.
The condition factor, calculated using the variables of length and weight of fish, can vary depending on age, gender, habitat, and seasons (Erkoyuncu, 1995). The variations observed in the condition factor primarily reflect the sexual maturity status and the level of nutrition, as a parameter indicating the well-being or relative fatness of a fish (Le Cren, 1951; Williams, 2000). Samsun (1996) reported an average condition factor of 0.1053 for garfish. Uçkun et al. (2004) reported a range of 0.118–0.126 for females and 0.112–0.134 for males. Samsun and Erdoğan Sağlam (2021) reported a value of 0.11. In this study, the condition factor for all individuals ranged from 0.077 to 0.171, with an average of 0.107. Changes in the condition factor can occur due to various factors such as the ecological conditions of habitats, sampling methods, timing, sample size, the size and weight distribution of samples, and the type of length measurement used. However, values obtained from different studies tend to show similarities.
Table 4
Comparision of length-weight relationship parameters from different localities of garfish
Reference | N | Sex | Lmin | Lmax | Lmean | a | b | r2 | Growth type | Study period | Study area |
Samsun, 1996 | 643 | All | 31.2 | 52.2 | 37.55 ± 0.17 | 0.00055 | 3.1778 | 0.97 | - | 1995–1996 | Black Sea |
Uçkun et al., 2004 | 240 107 347 | F M All | 26.0* 27.5* 26.0* | 54.5* 47.7* 54.5* | - - - | 0.0002 0.0009 0.0003 | 3.46 3.07 3.40 | 0.981 0.941 0.974 | - - - | 1997 | Aegean Sea |
Samsun et al., 2006 | 609 322 931 | F M All | - - 29.0 | - - 58.0 | 39.13 ± 0.16 36.08 ± 0.16 - | 0.00061 0.00280 0.00076 | 3.153 2.998 3.137 | 0.9357 0.8981 0.9363 | A+ I A+ | 2000–2001 | Black Sea |
Polat et al. 2009 | 278 | All | 23.7* | 60.3* | 36.07 ± 4.78* | 0.0005 | 3.245 | 0.97 | A+ | 2003–2004 | Black Sea |
Bilgin et al., 2014 | 618 593 1211 | F M All | 24.7 22.2 22.2 | 65.1 55.3 65.1 | 39.1 ± 0.25 35.2 ± 0.21 37.2 ± 0.17 | 0.0005 0.0007 - | 3.180 3.090 3.138 | 0.9208 0.8967 - | A+ A+ - | 2011–2013 | Black Sea |
Samsun et al. 2017 | 647 | All | 28.8 | 51.6 | - | 0.008 | 3.10 | 0.87 | - | 2016–2017 | Black Sea |
Çayır and Bostancı, 2022 | 108 BS 113 M | | 30.4 27.9 | 44.5 51.6 | 35.331 ± 2.835 36.841 ± 4.289 | 0.0006 0.0007 | 3.171 3.115 | 0.91 0.96 | A+ A+ | 2018 | Black Sea, Marmara |
Chaari et al. 2022 | 284 120 | F M | 24.2 25.8 | 55.0 52.5 | 40.2 5.9 40.0 ± 4.5 | 0.0003 0.0002 | 3.419 3.530 | 0.91 0.90 | A+ A+ | 2004–2009 | Mediterranean |
This study | 591 326 917 | F M All | 26.0 26.5 26.0 | 55.0 48.0 55.0 | 38.37 ± 0.192 35.39 ± 0.179 37.31 ± 0.147 | 0.0005 0.0009 0.0005 | 3.229 3.040 3.196 | 0.921 0.871 0.921 | A+ I A+ | 2022–2023 | Black Sea |
Chaari et al. (2022) reported that in the Mediterranean, the 2-year age group was dominant with 56%, with females ranging from 1 to 4 years and males ranging from 1 to 5 years. Uçkun et al. (2004) reported that in the Aegean Sea, the 2-year age group was dominant with 47.26%, with females ranging from 1 to 5 years and males ranging from 1 to 4 years. In studies done in the Black Sea, Samsun (1996) found that within the 1–6 age group, the 1-year age group was dominant at 66.87%. Samsun et al. (2006) reported that, the 2-year age group was dominant (54.57%) with females ranging from 1–6 years and males ranging from 1–4 years. Bilgin et al. (2014) observed that within the 1–7 age group, the 3-year age group was dominant among females (17.5%), while among males, the 2-year age group (20.2%) was dominant. Kaya (2018) noted that within the 1–4 age group, the majority (48.45%) consisted of individuals from the 3-year age group. In this study, age groups were delineated as 1–7 for females and 1–6 for males, revealing that the 3-year age group prevailed among females at 41.79%, while among males, the 2-year age group dominated with 50.61%.
The parameters of the Von Bertalanffy Growth Equation, the extensively used growth equation in fisheries biology studies, are detailed in Table 5 for comparative analysis with different studies. The Φ' values for females were slightly higher than for males, attributed to females attaining a larger asymptotic total length at age compared to males.
Mortality rates are estimated to understand how fishing mortality and natural mortality affect fish populations. Fishing mortality of females was higher than for males. The total mortality rate (Z) of garfish for both sexes combined was estimated at 1.02 per year, a lower value compared to previous studies. The fishing mortality rate is higher than the natural mortality rate of garfish. The exploitation rates of B. euxini for both sexes obtained showed that garfish stock was overexploited in study period (E > 0.5). The exploitation rate for garfish has been reported between 0.513–0.815 in previous studies (Table 5). As seen in Table 5, especially in the same region, when compared with the results of the study by Bilgin et al. (2014), it is seen that there is a decrease in the asymptotic length of garfish and an increase in the exploitation rate. This indicates that the fishing pressure on the species has increased even more.
Table 5
Comparison of growth equation parameters, growth performances, mortality rates and exploitation rates obtained for garfish populations in different studies
Sex | Age | L∞ (cm) | K (year-1) | t0 (year) | Φ' | Z | M | F | E | Study period | Study area | Reference |
All | 1–6 | 56.01 | 0.3249 | -1.8641 | - | 1.16 | 0.52 | .064 | 0.55 | 1995–1996 | Black Sea | Samsun, 1996 |
F M All | 1–5 1–4 1–5 | 62.24 54.32 62.71 | 0.249 0.336 0.237 | -1.422 -1.252 -1.566 | 2.990 2.996 2.970 | - - - | - - - | - - - | - - - | 1997 | Aegean Sea | Uçkun et al. 2004 |
All | 1–6 | 74.64 | 0.13 | -3.67 | 2.86 | 1.240 | 0.230 | 1.010 | 0.815 | 2000–2001 | Black Sea | Samsun et al. 2006 |
All | 1–5 | 79.05* | 0.198 | -1.42 | 3.09 | - | - | - | - | 2003–2004 | | Polat et al. 2009 |
All | 1–8 | 90.3 | 0.158 | -0.109 | - | 0.880 | 0.429 | 0.451 | 0.513 | 2003–2008 | Adriatic Sea | Zorica and Kec, 2013 |
F M | 1–7 1–7 | 81.6 71.9 | 0.1248 0.1507 | -2.245 -2.127 | 2.92 2.89 | 1.04 1.24 | 0.25 0.29 | - - | 0.76 0.77 | 2011–2013 | Black Sea | Bilgin et al. 2014 |
F M | 1–4 1–5 | 48.48 44.70 | 0.57 0.67 | -1 -1 | 3.12 3.12 | - - | - - | - - | - - | 2004–2009 | Mediterranean | Chaari et al. 2022 |
F M All | 1–7 1–6 1–7 | 78.2 69.82 91.86 | 0.1185 0.1201 0.0828 | -2.7429 -3.5213 -3.5358 | 2.86 2.77 2.84 | 1.10 1.02 1.02 | 0.21 0.22 0.16 | 0.89 0.80 0.86 | 0.81 0.78 0.84 | 2022–2023 | Black Sea | This study |
The gonadosomatic index value used to determine the breeding time in fish is generally at its minimum level in the days following spawning. It gradually increases in the ongoing process and reaches its maximum level in the period closest to ovulation. Subsequently, the GSI begins to decline, and the month when it reaches its minimum level is indicative of the spawning month, signifying that spawning has occurred. These changes in GSI values help determine the season in which sexually mature individuals in a population reproduce under the prevailing conditions (Nikolsky, 1969; Erkoyuncu, 1995). Various studies have reported different findings regarding the breeding season of garfish. Chaari et al. (2022) noted that the Gonadosomatic Index (GSI) reached its highest value in March, with breeding occurring between March and May. Uçkun et al. (2004) reported that GSI reached its maximum value in spring, and breeding occured in spring. Samsun et al. (2006) observed that GSI reached its maximum value in July, and breeding continued from May to mid-September. However, in this current study, it was determined that the GSI value reached its maximum in July, and breeding continued until October.
The changes observed in the growth and life cycle of a species, as well as the differences that emerge over the years, are crucial for evaluating and determining fishing trends. This is particularly important for maintaining the balance of fish stocks and, consequently, implementing sustainable fisheries management measures. Parameters such as size, weight, age composition, and sexual maturity status obtained from fisheries biology and population analysis studies are utilized in efforts to achieve sustainable fisheries and ensure the preservation of ecological balance. (Bellido et al., 2000). The implementation of bans and restrictions should be based on scientific research to ensure the conservation of fish stocks and their optimal utilization. In our country, essential scientific data serving as the basis for fishing bans can be obtained through long-term and comprehensive research efforts (Genç et al., 1999). The conclusion of this study provides information related to biological aspects that can be used as a basis for making garfish fisheries management policies in the coasts of southern Black Sea.