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13 pages, 711 KiB  
Article
Insights into ‘Srdelara’ Purse Seines: Landing Composition and Trophic Relationships in the Pelagic Food Web
by Barbara Zorica, Daria Ezgeta-Balić, Lana Schmidt and Marija Šestanović
Fishes 2024, 9(12), 516; https://doi.org/10.3390/fishes9120516 (registering DOI) - 16 Dec 2024
Abstract
This study analysed commercial ‘Srdelara’ purse seine landings in the Central Eastern Adriatic from November 2020 to March 2022. The observed commercial landings demonstrated typical seasonal variations, with a peak from September to November and the lowest landings recorded from spring to early [...] Read more.
This study analysed commercial ‘Srdelara’ purse seine landings in the Central Eastern Adriatic from November 2020 to March 2022. The observed commercial landings demonstrated typical seasonal variations, with a peak from September to November and the lowest landings recorded from spring to early summer. Sardines dominated the purse seine landings, comprising 97.9% of the total landing, followed by anchovies at 1.3%, with occasional by-catches or other species. Biological analysis involved collecting samples of eight pelagic fish species (sardine, anchovy, round sardinella, Atlantic bonito, Atlantic horse mackerel, Atlantic mackerel, chub mackerel and bogue) captured by the aforementioned fishing gear during the study period. The length frequency distributions of the investigated fish species were predominantly unimodal, with the exception of the Atlantic horse mackerel. Moreover, the length–weight relationships indicated isometric growth for each examined species. Stable isotope analysis revealed overlapping isotopic niches among the eight analysed fish species, with estimated mean trophic positions ranging from 3.0 to 4.7, indicating consumption of prey across approximately two trophic levels. The round sardinella and bogue had the smallest isotopic niche, while Atlantic mackerel had the widest one. This study highlights the need for further research to evaluate the observed overlap among pelagic species, particularly between small and medium-sized pelagic fish, as this interaction could significantly impact their biomass. Determining the extent of this overlap is crucial for improving management strategies and ensuring the sustainability of pelagic fish stocks in the Adriatic Sea. Full article
(This article belongs to the Section Biology and Ecology)
13 pages, 4495 KiB  
Article
Acoustic Target Strengths and Swimbladder Morphology of Chub Mackerel Scomber japonicus in the Northwest Pacific Ocean
by Hyungbeen Lee, Euna Yoon, Yong Jin Choo and Jeong-Hoon Lee
J. Mar. Sci. Eng. 2024, 12(9), 1500; https://doi.org/10.3390/jmse12091500 - 1 Sep 2024
Viewed by 805
Abstract
The Northwest Pacific chub mackerel (Scomber japonicus) is one of the most productive, economically important fishery resources worldwide. Accurately assessing this species and ensuring adherence to total allowable catch limits are crucial owing to fluctuations in their abundance and distribution. Acoustic [...] Read more.
The Northwest Pacific chub mackerel (Scomber japonicus) is one of the most productive, economically important fishery resources worldwide. Accurately assessing this species and ensuring adherence to total allowable catch limits are crucial owing to fluctuations in their abundance and distribution. Acoustic target strength measurements of S. japonicus were conducted at 38, 70, and 120 kHz using a split-beam echosounder of individuals from nine size groups (mean fork length, 10.8–28.3 cm) swimming freely in a net cage within a seawater tank. An underwater camera was utilized to simultaneously measure swimming angle. Least-squares regression analysis revealed that when the slope was constrained to 20, as per the generally applicable morphometric equation, the resulting values for the constant term (b20) were −67.7, −66.6, and −67.3 dB at 38, 70, and 120 kHz, respectively. S. japonicus mean swimming angle across the groups was −10.5–9.6° (standard deviation [SD], 16.3–33.3°). Furthermore, the ratio of swimbladder height to swimbladder length, the ratio of swimbladder length to fork length, and the tilt angle of the swimbladder (mean ± SD) were 0.191 ± 0.060, 0.245 ± 0.055, and 9.6 ± 3.0°, respectively. These results can be used for the acoustic stock assessment of S. japonicus in the Northwest Pacific Ocean. Full article
(This article belongs to the Special Issue Recent Advances in Marine Bioacoustics)
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<p>Experimental setup for the target strength measurements of chub mackerel (<span class="html-italic">Scomber japonicus</span>) using a scientific echosounder at 38, 70, and 120 kHz.</p>
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<p>Soft X-ray images of the (<b>a</b>) lateral and (<b>b</b>) dorsal aspects of <span class="html-italic">Scomber japonicus</span>. The red lines are the boundary of the swimbladder. The swimbladder angle (θ) indicates the tilt angle of the swimbladder relative to the centerline between the anterior and posterior margins. SBH, SBL, and SBW refer to swimbladder height, length, and width, respectively.</p>
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<p>Relationship between fork length (FL, cm) and wet weight (W, g) of nine groups of <span class="html-italic">Scomber japonicus</span>.</p>
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<p>Target strength (TS; dB) distribution of the mean of fish tacks based on three transducers (indicated on top) and in fish size groups 2 (mean FL: 12.6 cm) and 8 (mean FL: 26.9 cm) (indicated in panels). The black line shows the estimated probability density function (PDF).</p>
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<p>Relationship between TS (dB) and mean FL (cm) of the various fish groups at (<b>a</b>) 38, (<b>b</b>) 70, and (<b>c</b>) 120 kHz. Results of the standard linear regression model (gray dot line) and those obtained with the slope forced to 20 (black dashed line) are also illustrated.</p>
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<p>Swimming angle distributions of chub mackerel in size groups 2–9 obtained from lateral view by underwater camera during the TS experiment. Group 1 data were not captured due to the small number of fish (single specimen).</p>
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<p>SBL, SBH, SBW, and swimbladder angle of chub mackerel specimens. (<b>a</b>) Left: ratio of SBH and SBW against FL. Right: boxplot of SBH/SBW. (<b>b</b>) Left: ratio of SBH and SBL against FL. Right: boxplot of SBH/SBL. (<b>c</b>) SBL and FL, showing regression line with 95% confidence interval. (<b>d</b>) Left: swimbladder angle vs. FL. Right: boxplot of swimbladder angle.</p>
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14 pages, 6464 KiB  
Article
A Study on the Impact of Environmental Factors on Chub Mackerel Scomber japonicus Fishing Grounds Based on a Linear Mixed Model
by Jiasheng Li, Fenghua Tang, Yumei Wu, Shengmao Zhang, Weifeng Zhou and Xuesen Cui
Fishes 2024, 9(8), 323; https://doi.org/10.3390/fishes9080323 - 14 Aug 2024
Viewed by 979
Abstract
Chub mackerel (Scomber japonicus) is a commercially important fish species which are widely distributed in the North Pacific. Based on the fishery data from China’s high-sea light-purse seine fishing from 2014 to 2020 and the marine environment factors, a mixed linear [...] Read more.
Chub mackerel (Scomber japonicus) is a commercially important fish species which are widely distributed in the North Pacific. Based on the fishery data from China’s high-sea light-purse seine fishing from 2014 to 2020 and the marine environment factors, a mixed linear model considering the actual spatiotemporal stratification of the catch per unit effort (CPUE) was established to analyze the fixed and random effects of marine environmental factors on the CPUE of chub mackerel and to investigate the relationship between the abundance of chub mackerel resources in the Northwest Pacific and two marine environmental factors: sea surface temperature (SST) and chlorophyll-a concentration (CHL). The results showed that SST had a significant fixed effect on the CPUE. In contrast, the natural logarithm of chlorophyll (logCHL) had no fixed effect on the CPUE. Based on the monthly analysis, random fluctuations were observed in the impact of logCHL on the CPUE. LogCHL and CPUE show a positive correlation during spawning and wintering periods and a negative correlation during the feeding period. The study showed that when fishery sampling data exhibit spatiotemporal stratification, linear mixed models can effectively incorporate both the fixed and random effects of environmental factors on the CPUE of chub mackerel. Linear mixed models can play an important role in analyzing the fluctuations in resource abundance and the mechanisms governing the formation of fishing grounds for chub mackerel in the Northwest Pacific. Full article
(This article belongs to the Special Issue Biodiversity and Spatial Distribution of Fishes)
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<p>The distribution of (<b>a</b>) the sea surface temperature in October 2015, the distribution of (<b>b</b>) the chlorophyll-a (CHL) in October 2015, and the fishing area for chub mackerel in the high seas of the Northwest Pacific during 2014–2020 (yellow circles ).</p>
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<p>Data distribution of (<b>a</b>) CPUE, (<b>b</b>) SST, and (<b>c</b>) CHL.</p>
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<p>Normal distribution QQ chart of original (<b>a</b>) CPUE, (<b>b</b>) SST, (<b>c</b>) CHL, (<b>d</b>) sqrtCPUE, and (<b>e</b>) logCHL.</p>
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<p>Spatiotemporal variation in (<b>a</b>) annual average CPUE, (<b>b</b>) average monthly CPUE, and (<b>c</b>) spatial distribution of average CPUE for chub mackerel from 2014 to 2019.</p>
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<p>Slope and intercepts in random effects of Year and Month. (<b>a</b>) Random intercept in Year group. (<b>b</b>) Random slope of logCHL in Month group. (<b>c</b>) Random intercept in Month group (Values in blue font denote positive numbers, while those in red font signify negative numbers.).</p>
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<p>Spatial distribution of random intercepts in the Zone group.</p>
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<p>Normality assessment by (<b>a</b>) residual distribution and (<b>b</b>) Q-Q plot.</p>
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20 pages, 3824 KiB  
Article
Investigations on Target Strength Estimation Methods: A Case Study of Chub Mackerel (Scomber japonicus) in the Northwest Pacific Ocean
by Zhenhong Zhu, Jianfeng Tong, Minghua Xue, Chuhan Qiu, Shuo Lyu and Bilin Liu
Fishes 2024, 9(8), 307; https://doi.org/10.3390/fishes9080307 - 3 Aug 2024
Cited by 2 | Viewed by 759
Abstract
Target strength (TS) is an acoustic property of individual marine organisms and a critical factor in acoustic resource assessments. However, previous studies have primarily focused on measuring TS at narrowband, typical frequencies, which cannot meet the requirements of broadband acoustic technology research. Additionally, [...] Read more.
Target strength (TS) is an acoustic property of individual marine organisms and a critical factor in acoustic resource assessments. However, previous studies have primarily focused on measuring TS at narrowband, typical frequencies, which cannot meet the requirements of broadband acoustic technology research. Additionally, for marine fish, conducting in situ TS measurements is challenging due to environmental constraints. Rapidly freezing and preserving fish samples for transfer to the laboratory is a common method currently used. However, the impact of freezing preservation during transportation on the swimbladder morphology and TS of swimbladder-bearing fish remains unclear. This study investigated the differences in swimbladder morphology and TS of Chub mackerel (Scomber japonicus) before and after freezing. Then, we compared different TS measurement methods through ex situ TS measurements (45–90 kHz, 160–260 kHz) and the Kirchhoff-ray mode model (KRM) simulations (1–300 kHz) and studied the broadband scattering characteristics of Chub mackerel based on the KRM model. The results showed that the morphology of the swimbladder was reduced after freezing, with significant changes in swimbladder height and volume. However, the trends of TS were not consistent and the changes were small. The difference between the KRM model and ex situ measurements was −0.38 ± 1.84 dB, indicating good applicability of the KRM. Based on the KRM results, the TS exhibited significant directivity, with fluctuations gradually decreasing and stabilizing as frequency increased. In the broadband mode, the relationship between TS and body length (L) of Chub mackerel was TS = 20log(L) − 66.76 (30 > L/λ >10). This study could provide a reference for acoustic resource estimation and species identification of Chub mackerel in the Northwest Pacific Ocean. Full article
(This article belongs to the Special Issue Underwater Acoustic Technologies for Sustainable Fisheries)
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<p>Morphological measurements of Chub mackerel on (<b>a</b>) lateral X-ray image, (<b>b</b>) dorsal X-ray image, and (<b>c</b>) dissected view image. The red lines indicate measurements of the fish body, and the green lines indicate measurements of the swimbladder.</p>
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<p>The ex situ TS measurement system. Control mechanism A connects two broadband transducers (center frequency: 70 kHz and 200 kHz), with the gray area representing the beam coverage range. Control mechanism B suspends the fish for measurement, positioning its dorsal side toward the active transducer, while maintaining the fish at the same depth as the transducers.</p>
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<p>Relationship between the fish body length and the (<b>a</b>) swimbladder length, (<b>b</b>) swimbladder volume, (<b>c</b>) swimbladder cross–sectional area, (<b>d</b>) swimbladder equivalent spherical radius. The scatter points represent individual measurements, with red dots indicating fresh sample dissections before freezing and blue dots representing measurements by X-ray after freezing. For all relationships shown in the figures: <span class="html-italic">p</span>–value &lt; 0.001.</p>
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<p>Differences in TS before and after freezing at typical frequencies (38 kHz, 70 kHz, 120 kHz, and 200 kHz) based on the KRM model. ΔTS represents the difference between the TS before and after freezing.</p>
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<p>TS variation with angle and frequency for an individual Chub mackerel (body length: 21.2 cm). On the left: the KRM model estimation results, frequency range from 1 to 260 kHz; on the right: ex situ measurement results using broadband transducers for 45–90 kHz and 160–260 kHz frequency ranges. The horizontal axis represents the angle of the fish body relative to the detection beam, ranging from 40 to 140°.</p>
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<p>The difference in average TS between Chub mackerel ex situ measurements and KRM model estimates. The horizontal axis represents different frequencies, ranging from 45 to 80 kHz, 180 to 200 kHz, and 230 to 240 kHz. The vertical axis indicates the difference between TS<sub>ex situ</sub> and TS<sub>KRM</sub>. The shaded area represents the range of ±3 dB.</p>
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<p>Based on the KRM model results, the average and maximum TS of Chub mackerel vary with frequency: (<b>a</b>,<b>c</b>) represent the average and maximum TS for different individual fish, with different colored lines representing different individuals; (<b>b</b>,<b>d</b>) show the average values of average and maximum TS.</p>
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<p>Based on the KRM model results, the relationship between average TScm and L/λ for Chub mackerel: (<b>a</b>) represents the average TScm for different individuals of Chub mackerel, with different colored lines representing the variations in TScm among different individuals; (<b>b</b>) represents the mean value of average TScm for all individuals of Chub mackerel, with the shaded areas indicating the 95% confidence intervals.</p>
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<p>The relationship between TS and body length (L) for Chub mackerel at 38 kHz, 70 kHz, 120 kHz, and 200 kHz derived from the KRM model.</p>
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19 pages, 1014 KiB  
Article
Mackerel and Seaweed Burger as a Functional Product for Brain and Cognitive Aging Prevention
by Carlos Cardoso, Jorge Valentim, Romina Gomes, Joana Matos, Andreia Rego, Inês Coelho, Inês Delgado, Carla Motta, Isabel Castanheira, José A. M. Prates, Narcisa M. Bandarra and Cláudia Afonso
Foods 2024, 13(9), 1332; https://doi.org/10.3390/foods13091332 - 26 Apr 2024
Viewed by 1796
Abstract
Most world countries are experiencing a remarkable aging process. Meanwhile, 50 million people are affected by Alzheimer’s disease (AD) and related dementia and there is an increasing trend in the incidence of these major health problems. In order to address these, the increasing [...] Read more.
Most world countries are experiencing a remarkable aging process. Meanwhile, 50 million people are affected by Alzheimer’s disease (AD) and related dementia and there is an increasing trend in the incidence of these major health problems. In order to address these, the increasing evidence suggesting the protective effect of dietary interventions against cognitive decline during aging may suggest a response to this challenge. There are nutrients with a neuroprotective effect. However, Western diets are poor in healthy n-3 polyunsaturated fatty acids (n-3 PUFAs), such as docosahexaenoic acid (DHA), iodine (I), and other nutrients that may protect against cognitive aging. Given DHA richness in chub mackerel (Scomber colias), high vitamin B9 levels in quinoa (Chenopodium quinoa), and I abundance in the seaweed Saccorhiza polyschides, a functional hamburger rich in these nutrients by using these ingredients was developed and its formulation was optimized in preliminary testing. The effects of culinary treatment (steaming, roasting, and grilling vs. raw) and digestion on bioaccessibility were evaluated. The hamburgers had high levels of n-3 PUFAs in the range of 42.0–46.4% and low levels of n-6 PUFAs (6.6–6.9%), resulting in high n-3/n-6 ratios (>6). Bioaccessibility studies showed that the hamburgers could provide the daily requirements of eicosapentaenoic acid (EPA) + DHA with 19.6 g raw, 18.6 g steamed, 18.9 g roasted, or 15.1 g grilled hamburgers. Polyphenol enrichment by the seaweed and antioxidant activity were limited. The hamburgers contained high levels of Se and I at 48–61 μg/100 g ww and 221–255 μg/100 g ww, respectively. Selenium (Se) and I bioaccessibility levels were 70–85% and 57–70%, respectively, which can be considered high levels. Nonetheless, for reaching dietary requirements, considering the influence of culinary treatment and bioaccessibility, 152.2–184.2 g would be necessary to ensure daily Se requirements and 92.0–118.1 g for I needs. Full article
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<p>The prepared fish hamburgers: (<b>A</b>) raw; (<b>B</b>) steamed; (<b>C</b>) roasted; and (<b>D</b>) grilled.</p>
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19 pages, 2025 KiB  
Article
Enhancing Chub Mackerel Catch Per Unit Effort (CPUE) Standardization through High-Resolution Analysis of Korean Large Purse Seine Catch and Effort Using AIS Data
by Solomon Amoah Owiredu, Shem Otoi Onyango, Eun-A Song, Kwang-Il Kim, Byung-Yeob Kim and Kyoung-Hoon Lee
Sustainability 2024, 16(3), 1307; https://doi.org/10.3390/su16031307 - 4 Feb 2024
Cited by 2 | Viewed by 1959
Abstract
Accurate determination of fishing effort from Automatic Identification System (AIS) data improves catch per unit effort (CPUE) estimation and precise spatial management. By combining AIS data with catch information, a weighted distribution method is applied to allocate catches across various fishing trajectories, accounting [...] Read more.
Accurate determination of fishing effort from Automatic Identification System (AIS) data improves catch per unit effort (CPUE) estimation and precise spatial management. By combining AIS data with catch information, a weighted distribution method is applied to allocate catches across various fishing trajectories, accounting for temporal dynamics. A Generalized Linear Model (GLM) and Generalized Additive Model (GAM) were used to examine the influence of spatial–temporal and environmental variables (year, month, Sea Surface Temperature (SST), Sea Surface Salinity (SSS), current velocity, depth, longitude, and latitude) and assess the quality of model fit for these effects on chub mackerel CPUE. Month, SST, and year exhibited the strongest relationship with CPUE in the GLM model, while the GAM model emphasizes the importance of month and year. CPUE peaked within specific temperature and salinity ranges and increased with longitude and specific latitudinal bands. Month emerged as the most influential variable, explaining 38% of the CPUE variance, emphasizing the impact of regulatory measures on fishery performance. The GAM model performed better, explaining 69.9% of the nominal CPUE variance. The time series of nominal and standardized indices indicated strong seasonal cycles, and the application of fine-scale fishing effort improved nominal and standardized CPUE estimates and model performance. Full article
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<p>Study area: (<b>Left</b>): Area showing the EAMS and schematic drawings of the currents that interact to create suitable spawning and wintering grounds for chub mackerel: KC, Kuroshio Current; TWC, Tsushima Warm Current; YSWC, Yellow Sea Warm Current; KSBCC, Korea Strait Bottom Cold Current; and NKCC, North Korean Cold Current. (<b>Right</b>): Study area showing the South Sea waters around Jeju Island and the Korea Strait, the main spawning and fishing grounds for the TWC stock of chub mackerel.</p>
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<p>Map showing fishing segments within a trip: green squares indicate fishing trajectories used to determine where actual fishing took place.</p>
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<p>Effects of spatial and environmental variables on the chub mackerel CPUE derived from the GAM model: (<b>a</b>) SST, (<b>b</b>) SSS, (<b>c</b>) depth, (<b>d</b>) current velocity, (<b>e</b>) longitude, and (<b>f</b>) latitude. Solid lines represent effect of variables on CPUE and dashed lines represent 95% confidence limits.</p>
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<p>Effects of temporal variables on the chub mackerel CPUE derived from the GAM model: (<b>a</b>) year, (<b>b</b>) month. Solid lines represent effect of variables on CPUE and dashed lines represent 95% confidence limits.</p>
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<p>Comparison of GLM and GAM standardized CPUE index (kg per hour) with nominal CPUE as a function of time: (<b>a</b>) annual and (<b>b</b>) monthly for chub mackerel species.</p>
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<p>Comparison of GLM and GAM standardized CPUE index (kg per hour) with nominal CPUE as a function of time: (<b>a</b>) annual and (<b>b</b>) monthly for chub mackerel species.</p>
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11 pages, 1680 KiB  
Article
Assessing the Ecological Conversion Efficiency of Chub Mackerel, Somber japonicus, in Wild Conditions Based on an In Situ Enriched Simulation Method
by Xin Sun, Miao Yu, Qisheng Tang and Yao Sun
Animals 2023, 13(20), 3159; https://doi.org/10.3390/ani13203159 - 10 Oct 2023
Viewed by 1071
Abstract
Understanding the ecological conversion efficiency of a fish species can be used to estimate the potential impact of the marine food web and accordingly provides scientific advice to ecosystem-based fishery management. However, only laboratory experiments may limit the accuracy of determining this index. [...] Read more.
Understanding the ecological conversion efficiency of a fish species can be used to estimate the potential impact of the marine food web and accordingly provides scientific advice to ecosystem-based fishery management. However, only laboratory experiments may limit the accuracy of determining this index. In this study, food ingestion and ecological conversion efficiency of wild chub mackerel (Somber japonicus), a typical marine pelagic fish, were determined with gastric evacuation method in laboratory and in situ enriched simulation conditions. Additionally, the effect of temperature and body weight on ecological conversion efficiency was further estimated based on the 2D interpolation method. The results showed that, at 25.1 °C, the ecological conversion efficiency determined in-lab (35.31%) was significantly higher than in situ (23.85%). Moreover, the interpolation model estimated that with an increase in temperature (10–27 °C), the ecological conversion efficiency initially decreased, followed by an increase when the temperature reached 18 °C, but the ecological conversion efficiency generally decreased against the body weight at each temperature. The findings of this study enhanced the understanding of the energy budget of chub mackerel and also provided an efficient method for the determination of wild fishes that are difficult to sample in situ and domesticate in the laboratory. Full article
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<p>Location of the site where the wild chub mackerel were collected and the in situ simulation experiment.</p>
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<p>The instantaneous gastric contents (S<sub>t</sub>) during the experiment period and their fitting curves of chub mackerel kept in-lab and in situ, respectively.</p>
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<p>Growth (<b>a</b>) and ingestion rate (<b>b</b>) of chub mackerel kept in-lab (yellow) and in situ (blue).</p>
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<p>The simulated ecological conversion efficiency under the influence of temperature and body weight (<b>a</b>), and the comparison between the simulated (black), in-lab (yellow), and in situ (blue) ecological conversion efficiencies at 25 °C (<b>b</b>).</p>
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1 pages, 162 KiB  
Correction
Correction: Choi et al. Physiological Effect of Extended Photoperiod and Green Wavelength on the Pituitary Hormone, Sex Hormone and Stress Response in Chub Mackerel, Scomber japonicus. Fishes 2023, 8, 77
by Young Jae Choi, Seul Gi Na Ra Park, A-Hyun Jo and Jun-Hwan Kim
Fishes 2023, 8(5), 263; https://doi.org/10.3390/fishes8050263 - 16 May 2023
Viewed by 795
Abstract
There was an error in the original publication [...] Full article
11 pages, 2428 KiB  
Article
Fish Freshness Indicator for Sensing Fish Quality during Storage
by Do-Yeong Kim, Sung-Woo Park and Han-Seung Shin
Foods 2023, 12(9), 1801; https://doi.org/10.3390/foods12091801 - 26 Apr 2023
Cited by 19 | Viewed by 5138
Abstract
This study aims to develop a freshness indicator for fish products that changes color to indicate ammonia among volatile base compounds (TVB-N) generated during storage. Through an optimization experiment, we observed the indicator’s color change relative to the ammonia concentration standard, finally selecting [...] Read more.
This study aims to develop a freshness indicator for fish products that changes color to indicate ammonia among volatile base compounds (TVB-N) generated during storage. Through an optimization experiment, we observed the indicator’s color change relative to the ammonia concentration standard, finally selecting cresol red and bromocresol purple for the indicator mixture. In addition, eco-DEHCH and Breathron film were applied to the freshness indicator, considering environmental and economic values. For the storage experiment, Chub mackerel (Scomber japonicus), Spanish mackerel (Scomberomorus niphonius), and Largehead hairtail (Trichiurus lepturus) samples were stored at three different temperatures (4, 10, and 20 °C) for seven days, and we measured pH, TVB-N, total bacterial count, and ammonia content every 24 h. The pH-sensitive sensors’ color changes monitor amine release, especially ammonia, from decomposing fish. The chromatic parameter ∆E value increased significantly with fish product storage periods. We confirmed that when the freshness limit and bacterial spoilage level were reached, the color of the indicator changed from yellow to black and sequentially changed to purple as the storage period increased. Therefore, a developed freshness indicator can be used for determining the quality of fish products quickly and non-destructively by reflecting the freshness and spoilage degree of fish products during storage. Full article
(This article belongs to the Special Issue Food Packaging: Biodegradable, Active and Intelligent)
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<p>Schematic design of the freshness indicator for fish products.</p>
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<p>The color changes of the array sensor according to the ammonia concentration.</p>
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<p>pH (<b>A</b>), total volatile base nitrogen (TVB-N) (<b>B</b>), total bacterial counts (<b>C</b>), and ammonia content (<b>D</b>) of fish samples stored at 4 °C, 10 °C, and 20 °C for 7 days.</p>
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<p>Changes in color of the freshness indicator (<b>left</b>) and ∆E value (<b>right</b>) during storage experiments at 4 °C, 10 °C, and 20 °C for 7 days: (<b>A</b>) Chub mackerel; (<b>B</b>) Spanish mackerel; (<b>C</b>) Largehead hairtail.</p>
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19 pages, 2720 KiB  
Article
Resource Partitioning among “Ancillary” Pelagic Fishes (Scomber spp., Trachurus spp.) in the Adriatic Sea
by Zaira Da Ros, Emanuela Fanelli, Sacha Cassatella, Ilaria Biagiotti, Giovanni Canduci, Samuele Menicucci, Andrea De Felice, Sara Malavolti and Iole Leonori
Biology 2023, 12(2), 272; https://doi.org/10.3390/biology12020272 - 8 Feb 2023
Cited by 6 | Viewed by 2667
Abstract
The Mediterranean is one of the most overfished seas of the world where mesopredators are severely threatened. The trophic strategies of four pelagic species that inhabit the Adriatic Sea (Scomber spp. and Trachurus spp.) were investigated through an integrated approach of stomach [...] Read more.
The Mediterranean is one of the most overfished seas of the world where mesopredators are severely threatened. The trophic strategies of four pelagic species that inhabit the Adriatic Sea (Scomber spp. and Trachurus spp.) were investigated through an integrated approach of stomach contents and stable isotopes analyses. Our study demonstrated that Scomber colias feeds mainly on strictly pelagic prey, with fish larvae as a secondary prey in the Southern Adriatic Sea, while S. scombrus feeds on prey belonging to higher trophic levels. Smaller specimens of Trachurus mediterraneus have a diet mainly based on pelagic prey, while larger fishes rely on prey such as benthic decapods, showing an ontogenetic shift in the diet of the species. Trachurus trachurus shows a preference for offshore and deeper areas and a diet such as that of its congeneric, but no clear ontogenetic shift was observed. This spatial segregation allows the co-existence of these two species of Trachurus. Scomber colias mainly inhabits southern areas and S. scombrus shows a preference for the northern sectors. This latitudinal gradient avoids the overlap of their trophic niches. Bayesian mixing models confirmed that the trophic niches of these species only partially overlap in the middle of the trophic web. Full article
(This article belongs to the Section Ecology)
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<p>Surveyed subareas and the selected hauls (in orange the inshore hauls and in black the offshore hauls).</p>
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<p>Length frequency distributions of n = 62 individuals of <span class="html-italic">Scomber colias</span>, n = 16 individuals of <span class="html-italic">Scomber scombrus</span>; n = 93 individuals of <span class="html-italic">Trachurus mediterraneus</span> and n = 42 individuals of <span class="html-italic">Trachurus trachurus</span> captured during summer in the Adriatic Sea. Specimens were divided into three size classes according to their length: small (&lt;12 cm TL), medium (from 12.1 to 24 cm TL) and large (≥24 cm TL) size.</p>
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<p>Boxplot of stomach fullness (%) measured in the specimens of the four “ancillary” species captured in the North, Central and South Adriatic Sea.</p>
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<p>Composition expressed as %IRI of the diets of (<b>A</b>) <span class="html-italic">Scomber colias</span>, (<b>B</b>) <span class="html-italic">Scomber scombrus</span>, (<b>C</b>) <span class="html-italic">Trachurus mediterraneus</span> and (<b>D</b>) <span class="html-italic">Trachurus trachurus</span> in the North, Central and South Adriatic Sea. The category of “other material” includes undigested material, fish scales and parasites.</p>
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<p>Boxplot showing the values of (<b>A</b>) <span class="html-italic">δ</span><sup>13</sup>C (‰) and (<b>B</b>) <span class="html-italic">δ</span><sup>15</sup>N (‰) measured in the four “ancillary” species captured in the North, Central and South Adriatic Sea.</p>
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<p><span class="html-italic">δ</span><sup>13</sup>C-<span class="html-italic">δ</span><sup>15</sup>N scatterplot with standard ellipses corrected for small sample size population (SEA<sub>C,</sub> ‰<sup>2</sup>) overlaid for the specimens of the four “ancillary” species collected in the Adriatic Sea.</p>
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<p><span class="html-italic">δ</span><sup>13</sup>C-<span class="html-italic">δ</span><sup>15</sup>N scatterplot with standard ellipses corrected for small sample size population (SEA<sub>C,</sub> ‰<sup>2</sup>) overlaid for the specimens of the four “ancillary” species, and of the three small pelagic species that typify the central part of the pelagic food web in the Adriatic Sea. Signatures of <span class="html-italic">E. encrasicolus</span>, <span class="html-italic">S. pilchardus</span> and <span class="html-italic">S. sprattus</span> are taken from [<a href="#B2-biology-12-00272" class="html-bibr">2</a>].</p>
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15 pages, 5040 KiB  
Article
Stock Assessment of Chub Mackerel (Scomber japonicus) in the Northwest Pacific Using a Multi-Model Approach
by Kai Cai, Richard Kindong, Qiuyun Ma and Siquan Tian
Fishes 2023, 8(2), 80; https://doi.org/10.3390/fishes8020080 - 30 Jan 2023
Cited by 10 | Viewed by 3110
Abstract
Chub mackerel (Scomber japonicus) is a major targeted species in the Northwest Pacific Ocean, fished by China, Japan, and Russia, and predominantly captured with purse seine fishing gear. A formal stock assessment of Chub mackerel in the region has yet to [...] Read more.
Chub mackerel (Scomber japonicus) is a major targeted species in the Northwest Pacific Ocean, fished by China, Japan, and Russia, and predominantly captured with purse seine fishing gear. A formal stock assessment of Chub mackerel in the region has yet to be implemented by the managing authority, that is, the North Pacific Fisheries Commission (NPFC). This study aims to provide a wider choice of potential models for the stock assessment of Chub mackerel in the Northwest Pacific using available data provided by members of the NPFC. The five models tested in the present study are CMSY, BSM, SPiCT, JABBA, and JABBA-Select. Furthermore, the influence of different data types and input parameters on the performance of the different models used was evaluated. These effects for each model are catch time series for CMSY, catch time series and prior of the relative biomass for BSM, prior information for SPiCT, and selectivity coefficients for JABBA-Select. Catch and CPUE (catch per unit effort) data used are derived from NPFC, while some life history information is referred from other references. The results indicate that Chub mackerel stock might be slightly overfished, as indicated by CMSY (B2020/BMSY = 0.98, F2020/FMSY = 1.12), BSM (B2020/BMSY = 0.97, F2020/FMSY = 1.21), and the base case run for the JABBA-Select (SB2020/SBMSY = 0.99, H2020/HMSY = 0.99) models. The results of the models SPiCT (B2020/BMSY = 2.30, F2020/FMSY = 0.31) and JABBA (B2020/BMSY = 1.40, F2020/FMSY = 0.62) showed that the state of this stock may be healthy. Changes in the catch time series did not affect CMSY results but did affect BSM. The present study confirms that prior information for BSM and SPiCT models is very important in order to obtain reliable results on the stock status. The results of JABBA-Select showed that different selectivity coefficients can affect the stock status of a species, as observed in the present study. Based on the optimistic stock status indicated by the best model, JABBA, a higher catch is allowable, but further projection is required for specific catch limit setting. Results suggested that, as a precautionary measure, management would be directed towards maintaining or slightly reducing the fishing effort for the sustainable harvest of this fish stock, while laying more emphasis on accurately estimating prior input parameters for use in assessment models. Full article
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<p>Catch and CPUE of Chub mackerel in the Northwest Pacific Ocean from 1995–2020. NOTE: Catch is the total catch of all countries and fleets; CPUE is calculated as catch of purse seine fleets/number of vessels of purse seine fleets.</p>
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<p>Dynamic variations of stock status and biological parameters of Chub mackerel in the Northwest Pacific for CMSY, BSM, JABBA, and JABBA-Select models.</p>
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<p>Dynamic variations of stock status and biological parameters of Chub mackerel in the Northwest Pacific according to SPiCT models.</p>
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<p>Kobe phase plot showing estimated trajectories of resource state in CMSY1, BSM1, JABBA, JS1, and SPiCT2 for Chub mackerel in the Northwest Pacific. The black dotted line shows the interannual variation, and three different shades of the grey area represent the confidence intervals (C.I. 50%, 80%, 95%) of the stock status in 2020.</p>
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<p>Retrospective analysis of <span class="html-italic">B</span>/<span class="html-italic">B</span><sub>MSY</sub>, <span class="html-italic">SB</span>/<span class="html-italic">SB</span><sub>MSY</sub>, <span class="html-italic">F</span>/<span class="html-italic">F</span><sub>MSY</sub>, and <span class="html-italic">H</span>/<span class="html-italic">H</span><sub>MSY</sub> of the base case scenarios of the five models for Chub mackerel in the Northwest Pacific.</p>
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11 pages, 1005 KiB  
Article
Physiological Effect of Extended Photoperiod and Green Wavelength on the Pituitary Hormone, Sex Hormone and Stress Response in Chub Mackerel, Scomber japonicus
by Young Jae Choi, Seul Gi Na Ra Park, A-Hyun Jo and Jun-Hwan Kim
Fishes 2023, 8(2), 77; https://doi.org/10.3390/fishes8020077 - 29 Jan 2023
Cited by 5 | Viewed by 3177 | Correction
Abstract
Chub mackerel, Scomber japonicus, is heavily farmed and harvested due to its demand as a high-quality protein source rich in fatty acids. However, the effects of environmental cues on sexual maturation of the fish remain understudied. We aim to elucidate the effect [...] Read more.
Chub mackerel, Scomber japonicus, is heavily farmed and harvested due to its demand as a high-quality protein source rich in fatty acids. However, the effects of environmental cues on sexual maturation of the fish remain understudied. We aim to elucidate the effect of light manipulation on the hormones related to reproduction and on the stress response in the species. Mackerel were exposed to different photoperiods (12 h light:12 h dark or 14 h light:10 h dark) and light wavelengths (provided by white fluorescent bulbs or green LEDs). Total RNA extracted from the brain was assayed with quantitative polymerase chain reaction (a powerful technique for advancing functional genomics) and blood plasma was analyzed via immunoassay using ELISA kits. The mRNA expression of gene-encoding gonadotropin-releasing hormone, gonadotropin hormone, follicle-stimulating hormone, and luteinizing hormone were significantly increased through the use of an extended photoperiod and green wavelength, which also increased testosterone and 17β-estradiol plasma levels. Plasma levels of cortisol and glucose, which are indicators of a stress response, were significantly decreased through green LED exposure. Our results indicate that environmental light conditions affect the production of pituitary and sex hormones, and reduce the stress response in S. japonicus. Full article
(This article belongs to the Section Environment and Climate Change)
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Graphical abstract

Graphical abstract
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<p>Chub mackerel, <span class="html-italic">Scomber japonicus</span>, were exposed to a 12 h light and 12 h dark photoperiod, either under fluorescent lighting (Control) or under green LEDs (Green LED); mackerel were also exposed to an extended 14 h light and 10 h dark photoperiod under fluorescent lighting (14L:10D) or green LEDs (Green+14L:10D). Total RNA was extracted from the brains of fish (n = 40; full length, 33.7 ± 3.5 cm; weight, 453.5 ± 10.4 g per group) and subjected to quantitative polymerase chain reaction to assess the expression of (<b>a</b>) <span class="html-italic">GnRH</span> mRNA and (<b>b</b>) <span class="html-italic">GTHα</span> mRNA at onset of the experiment, after 1 month, and after 2 months. Vertical bars denote standard errors. Values with different superscripts (a, b, or c) within a given observation period indicate significant differences between groups (<span class="html-italic">p</span> &lt; 0.05) as determined using Tukey’s multiple range test.</p>
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<p>Chub mackerel, <span class="html-italic">Scomber japonicus</span>, were exposed to a 12 h light and 12 h dark photoperiod, either under fluorescent lighting (Control) or under green LEDs (Green LED); mackerel were also exposed to an extended 14 h light and 10 h dark photoperiod under fluorescent lighting (14L:10D) or green LEDs (Green+14L:10D). Total RNA were extracted from the brains of fish (n = 40; full length, 33.7 ± 3.5 cm; weight, 453.5 ± 10.4 g per group) and subjected to quantitative polymerase chain reaction to assess the expression of (<b>a</b>) <span class="html-italic">FSHβ</span> mRNA and (<b>b</b>) <span class="html-italic">LHβ</span> mRNA at onset of the experiment, after 1 month, and after 2 months. Vertical bars denote standard errors. Values with different superscripts (a, b, or c) within a given observation period indicate significant differences between groups (<span class="html-italic">p</span> &lt; 0.05) as determined using Tukey’s multiple range test.</p>
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<p>Chub mackerel, <span class="html-italic">Scomber japonicus</span>, were exposed to a 12 h light and 12 h dark photoperiod, either under fluorescent lighting (Control) or under green LEDs (Green LED); mackerel were also exposed to an extended 14 h light and 10 h dark photoperiod under fluorescent lighting (14L:10D) or green LEDs (Green+14L:10D). Blood was drawn from the caudal veins of fish (n = 40; full length, 33.7 ± 3.5 cm; weight, 453.5 ± 10.4 g per group) and subjected to immunoassay via ELISA kits to measure plasma levels of (<b>a</b>) testosterone and (<b>b</b>) 17β-estradiol at onset of the experiment, after 1 month, and after 2 months. Vertical bars denote standard errors. Values with different superscripts (a, b, or c) within a given observation period indicate significant differences between groups (<span class="html-italic">p</span> &lt; 0.05) as determined using Tukey’s multiple range test.</p>
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<p>Chub mackerel, <span class="html-italic">Scomber japonicus</span>, were exposed to a 12 h light and 12 h dark photoperiod, either under fluorescent lighting (Control) or under green LEDs (Green LED); mackerel were also exposed to an extended 14 h light and 10 h dark photoperiod under fluorescent lighting (14L:10D) or green LEDs (Green+14L:10D). Blood was drawn from the caudal veins of fish (n = 40; full length, 33.7 ± 3.5 cm; weight, 453.5 ± 10.4 g per group) and subjected to immunoassay via ELISA kits to measure plasma levels of (<b>a</b>) cortisol and (<b>b</b>) glucose at onset of the experiment, after 1 month, and after 2 months. Vertical bars denote standard errors. Values with different superscripts (a, b, or c) within a given observation period indicate significant differences between groups (<span class="html-italic">p</span> &lt; 0.05) as determined using Tukey’s multiple range test.</p>
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14 pages, 3096 KiB  
Article
Stock Assessment of Chub Mackerel (Scomber japonicus) in the Northwest Pacific Ocean Based on Catch and Resilience Data
by Jae-Beum Hong, Dae-Young Kim and Do-Hoon Kim
Sustainability 2023, 15(1), 358; https://doi.org/10.3390/su15010358 - 26 Dec 2022
Cited by 9 | Viewed by 3046
Abstract
This study aimed to evaluate the stock status of chub mackerel (Scomber japonicus) in the Northwest Pacific Ocean. Chub mackerel is a commercially important fish species in South Korea. The fishing grounds of chub mackerel are in the Northwest Pacific Ocean, [...] Read more.
This study aimed to evaluate the stock status of chub mackerel (Scomber japonicus) in the Northwest Pacific Ocean. Chub mackerel is a commercially important fish species in South Korea. The fishing grounds of chub mackerel are in the Northwest Pacific Ocean, off South Korea and the neighboring countries of China and Japan. Previous chub mackerel stock assessments have mostly been based on catch data from a single country. However, in this study we used the total catch data on chub mackerel in the Northwest Pacific Ocean to assess the stock status, owing to their migrations and occurrence in the waters of several different countries. We used a catch and maximum sustainable yield model, which is based on catch and resilience data, using the Monte Carlo method. Moreover, sensitivity analysis was conducted according to the availability of catch data by sea area and country. The results showed that the current level of chub mackerel biomass is lower than the biomass required to achieve a maximum sustainable yield based on median values. Furthermore, analysis of all scenarios showed the same results, while the current biomass showed a decreasing trend. These results indicate that improved cooperative resource management is required to prevent further stock status decline. Full article
(This article belongs to the Special Issue Fisheries from the Perspective of Sustainable Development)
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<p>Food and Agriculture Organization major fishing area 61 (Pacific, Northwest), which represents the study area. Source: [<a href="#B3-sustainability-15-00358" class="html-bibr">3</a>].</p>
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<p>Changes in chub mackerel fishing in the Northwest Pacific Ocean (1970–2020). Source: [<a href="#B4-sustainability-15-00358" class="html-bibr">4</a>].</p>
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<p>The chub mackerel ‘<math display="inline"><semantics> <mrow> <mi mathvariant="normal">r</mi> <mo>−</mo> <mi mathvariant="normal">k</mi> </mrow> </semantics></math>’ pair in the Northwest Pacific Ocean.</p>
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<p>Changes in the chub mackerel resource in the Northwest Pacific Ocean (1970–2020).</p>
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<p>Kobe plot of the estimated chub mackerel resource in the Northwest Pacific Ocean (1970–2020).</p>
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<p>Changes in chub mackerel resources by scenario analysis results (1970–2020).</p>
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<p>Chub mackerel catch in the Northwest Pacific Ocean, with reference to the maximum sustainable yield (<math display="inline"><semantics> <mrow> <mi>MSY</mi> </mrow> </semantics></math>; 1970–2020).</p>
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<p>Correlation analysis of chub mackerel fishing between each nation in the Northwest Pacific Ocean.</p>
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19 pages, 2586 KiB  
Article
Stochastic Modelling to Assess External Environmental Drivers of Atlantic Chub Mackerel Population Dynamics
by Ghoufrane Derhy, Diego Macías, Khalid Elkalay, Karima Khalil and Margarita María Rincón
Sustainability 2022, 14(15), 9211; https://doi.org/10.3390/su14159211 - 27 Jul 2022
Cited by 4 | Viewed by 2475
Abstract
The population dynamics of small and middle-sized pelagic fish are subject to considerable interannual and interdecadal fluctuations in response to fishing pressure and natural factors. However, the impact of environmental forcing on these stocks is not well documented. The Moroccan Atlantic coast is [...] Read more.
The population dynamics of small and middle-sized pelagic fish are subject to considerable interannual and interdecadal fluctuations in response to fishing pressure and natural factors. However, the impact of environmental forcing on these stocks is not well documented. The Moroccan Atlantic coast is characterized by high environmental variability due to the upwelling phenomenon, resulting in a significant abundance and variation in the catches of small and middle-sized pelagic species. Therefore, understanding the evolution of stock abundance and its relationship with different oceanographic conditions is a key issue for fisheries management. However, because of the limited availability of independent-fishery data along the Moroccan Atlantic coast, there is a lack of knowledge about the population dynamics. The main objective of this study is to test the correlation between the environment conditions and the stock fluctuations trends estimated by a stock assessment model that does not need biological information on growth, reproduction, and length or age structure as input. To achieve this objective, the fishery dynamics are analyzed with a stochastic surplus production model able to assimilate data from surveys and landings for a biomass trend estimation. Then, in a second step, the model outputs are correlated with different environmental (physical and biogeochemical) variables in order to assess the influence of different environmental drivers on population dynamics. This two-step procedure is applied for chub mackerel along the Moroccan coast, where all these available datasets have not been used together before. The analysis performed showed that larger biomass estimates are linked with periods of lower salinity, higher chlorophyll, higher net primary production, higher nutrients, and lower subsurface oxygen, i.e., with an enhanced strength of the upwelling. In particular, acute anomalies of these environmental variables are observed in the southern part presumably corresponding to the wintering area of the species in the region. The results indicate that this is a powerful procedure, although with important limitations, to deepen our understanding of the spatiotemporal relationships between the population and the environment in this area. Moreover, once these relationships have been identified, they could be used to generate a mathematical relationship to simulate future population trends in diverse environmental scenarios. Full article
(This article belongs to the Special Issue Integrated Modelling for Sustainable Fisheries Management)
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<p>Chub mackerel study area along the Moroccan Atlantic Coast. Central area: A + B zones. Southern area: C zone.</p>
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<p>Data input summary. (<b>Top left</b>): chub mackerel catches in tons. (<b>Top right</b>): Amir Moulay Abdellah acoustic estimates (autumn). (<b>Bottom left</b>): Nansen acoustic estimates (autumn). (<b>Bottom right</b>): Atlantida acoustic estimates (summer).</p>
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<p>Atlantic chub mackerel. Estimated relative biomass time series (blue line) and estimated <math display="inline"><semantics> <msub> <mi>B</mi> <mrow> <mi>M</mi> <mi>S</mi> <mi>Y</mi> </mrow> </msub> </semantics></math> (black line). Data are shown using points colored by season; CI of <math display="inline"><semantics> <msub> <mi>B</mi> <mi>t</mi> </msub> </semantics></math>/<math display="inline"><semantics> <msub> <mi>B</mi> <mrow> <mi>M</mi> <mi>S</mi> <mi>Y</mi> </mrow> </msub> </semantics></math> estimates is respresented using dashed blue region.</p>
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<p>Atlantic chub mackerel. Retrospective analysis for biomass relative to <math display="inline"><semantics> <msub> <mi>B</mi> <mrow> <mi>M</mi> <mi>S</mi> <mi>Y</mi> </mrow> </msub> </semantics></math> from SPiCT assessment model. Different runs are shown by different colors of the same model.</p>
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<p>Atlantic chub mackerel. Summary diagnostics for violation of SPiCT model assumptions.</p>
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<p>Atlantic chub mackerel. SSA analysis of the relative biomass time series. (<b>A</b>) individual signals identified by the SSA analysis. (<b>B</b>) original relative biomass series (red Asterisk)) and the reconstructed pattern using the two main signals (blue line) representing 83 percent of the total variability of the series (details in the text).</p>
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<p>Atlantic chub mackerel. 3D salinity in fall (red line) and B/<math display="inline"><semantics> <msub> <mi>B</mi> <mrow> <mi>M</mi> <mi>S</mi> <mi>Y</mi> </mrow> </msub> </semantics></math> (black dots) for the period 1993–2018.</p>
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<p>Atlantic chub mackerel. Integrated chlorophyll (0–150 m) in fall (red line) and B/<math display="inline"><semantics> <msub> <mi>B</mi> <mrow> <mi>M</mi> <mi>S</mi> <mi>Y</mi> </mrow> </msub> </semantics></math> (black dots) for the period 1993–2018.</p>
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<p>Atlantic chub mackerel. Mean integrated net primary production (0–150 m) in spring (red line) and B/<math display="inline"><semantics> <msub> <mi>B</mi> <mrow> <mi>M</mi> <mi>S</mi> <mi>Y</mi> </mrow> </msub> </semantics></math> (black dots) for the period 1993–2018.</p>
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<p>Atlantic chub mackerel. Integrated subsurface (100–200 m) mean oxygen concentration in fall (red line) and B/<math display="inline"><semantics> <msub> <mi>B</mi> <mrow> <mi>M</mi> <mi>S</mi> <mi>Y</mi> </mrow> </msub> </semantics></math> (black dots) for the period 1993–2018.</p>
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<p>Atlantic chub mackerel. Integrated nitrate (0–150 m) in fall (red line) and B/<math display="inline"><semantics> <msub> <mi>B</mi> <mrow> <mi>M</mi> <mi>S</mi> <mi>Y</mi> </mrow> </msub> </semantics></math> (black dots) for the period 1993–2018.</p>
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<p>Atlantic chub mackerel. Spatially explicit analysis for the correlation between B/<math display="inline"><semantics> <msub> <mi>B</mi> <mrow> <mi>M</mi> <mi>S</mi> <mi>Y</mi> </mrow> </msub> </semantics></math> and the selected environmental variables (with significant correlations and absolute R–values (see <a href="#sustainability-14-09211-t001" class="html-table">Table 1</a>)).</p>
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<p>Atlantic chub mackerel. Boxplot of B/<math display="inline"><semantics> <msub> <mi>B</mi> <mrow> <mi>M</mi> <mi>S</mi> <mi>Y</mi> </mrow> </msub> </semantics></math> time series. The red line marks the median, the blue lines the 75 percentile range, and the dotted line the interval of confidence.</p>
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<p>Atlantic chub mackerel. Anomalies for the different environmental variables in years of high B/<math display="inline"><semantics> <msub> <mi>B</mi> <mrow> <mi>M</mi> <mi>S</mi> <mi>Y</mi> </mrow> </msub> </semantics></math> time series values (2008, 2015, 2016, and 2017).</p>
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1 pages, 190 KiB  
Abstract
Otolith Fingerprint and Shape of the Chub Mackerel (Scomber colias) in the Southwestern Atlantic Ocean
by Luiz Matsuda, Felippe A. Daros and Paulo Schwingel
Biol. Life Sci. Forum 2022, 13(1), 39; https://doi.org/10.3390/blsf2022013039 - 2 Jun 2022
Viewed by 1032
Abstract
The mackerel (Scomber colias, Gmelin 1789) is a shoal-forming scombrid that inhabits the coastal waters of the Atlantic Ocean. The species can be found at depths of up to 300 m, but often inhabits the warmer, shallower waters of coastal regions [...] Read more.
The mackerel (Scomber colias, Gmelin 1789) is a shoal-forming scombrid that inhabits the coastal waters of the Atlantic Ocean. The species can be found at depths of up to 300 m, but often inhabits the warmer, shallower waters of coastal regions in its migration to feeding and spawning grounds. In the southeast and south of Brazil, the commercial capture of this species is achieved by purse seine fleets, with great fluctuations in the catch from one year to the next. In Brazil, a single stock of S. colias was considered for fishery management purposes. However, the species is not covered by any specific regulatory act in the Brazilian fisheries legislation. The aim of this study was to evaluate the homogeneity of fish stocks of the mackerel S. colias on the continental shelf of southeastern and southern Brazil, through an analysis of the shape and elemental chemical signatures of otoliths. The data used are from nine samples from fishing landings and scientific observers in the purse seine fleets that went out between 2008 and 2020. Multielemental signatures (44Ca, 7Li, 26Mg, 55Mn, 88Sr, and 137Ba) of whole otoliths was performed by Inductively Coupled Plasma Mass Spectrometry, and otolith shape patterns were obtained through wavelet coefficients and shape indices, for the Santa Catarina (SC), São Paulo (SP), and Rio de Janeiro (RJ) regions. The results of multivariate analysis (PERMANOVA, p < 0.05) for otolith chemistry showed differences between regions, which were confirmed in the pairwise test. In the Canonical Analysis of Principal Coordinates (CAP), with reclassification by the leave-one-out diagnosis, the individuals were assigned to their collection regions, with accuracies of 74% (SC), 90% (SP), and 65% (RJ), and global reclassification of 73%. The results for otolith shape alone showed no differences between the SC and SP samples, and individuals were assigned to their collection regions with lower precision (SC: 54%, SP: 70%, and RJ: 60%). When the otolith shape and chemical analyses were combined, the reliability of the results did not increase. This study indicates that mackerel stocks are not homogeneous in the continental shelf area of the southeast and south of Brazil. Full article
(This article belongs to the Proceedings of The IX Iberian Congress of Ichthyology)
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