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Fishes, Volume 8, Issue 10 (October 2023) – 58 articles

Cover Story (view full-size image): Ectotherms tend to develop faster at higher temperatures. Thus, higher infection levels of sea lice on fish could be expected during summer. However, the present work suggests that the prevalence of some tropical sea lice species can be inversely proportional to seawater temperature. Furthermore, based on the first de novo transcriptome of Caligus confusus, the overexpression of genes associated with reproduction and development was observed in specimens sampled at lower temperatures. View this paper
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19 pages, 5752 KiB  
Article
Habitat Use of Two Coral-Associated Cryptobenthic Gobiid Fishes (Family: Gobiidae) in the Southern Caribbean
by Ann-Christin Ziebell, Maite L. Vogel, Niklas Kjell Ratajczak and Bert W. Hoeksema
Fishes 2023, 8(10), 531; https://doi.org/10.3390/fishes8100531 - 23 Oct 2023
Cited by 1 | Viewed by 2452
Abstract
Cryptobenthic fishes make up more than half of coral reef fish fauna and contribute greatly to coral reef trophodynamics and diversity. Because of their small size, they are easily overlooked and understudied. Some of them use corals as their habitat, but this association [...] Read more.
Cryptobenthic fishes make up more than half of coral reef fish fauna and contribute greatly to coral reef trophodynamics and diversity. Because of their small size, they are easily overlooked and understudied. Some of them use corals as their habitat, but this association is not well understood. In the Caribbean, two common cryptobenthic gobies, Elacatinus evelynae and Coryphopterus lipernes, are usually observed residing on corals. In order to compare their habitat use, we investigated their distributions on a range of scleractinian host-coral species at three different depths (5, 10, and 15 m) at Curaçao, southern Caribbean. The numbers of both species were relatively low at 5 m. Furthermore, we investigated the relationship between fish size and depth and found that adult E. evelynae individuals were most common at 5 m depth and juveniles at 15 m depth. Novel host corals were found for both fish species. Taking host size into account, the gobies were most abundant on large coral colonies of two host species: E. evelynae on both Colpophyllia natans and Montastraea cavernosa, and C. lipernes only on C. natans. In summary, depth, host species, and host-colony size were found to be environmental factors that may determine the occurrence of both fish species. Full article
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<p>In situ photographs of <span class="html-italic">Elacatinus evelynae</span> at Curaçao. (<b>a</b>) An individual on <span class="html-italic">Montastraea cavernosa</span> (photo credit B.W.H.). (<b>b</b>) A group of nine individuals residing on <span class="html-italic">Colpophyllia natans</span> (photo credit M.L.V.). (<b>c</b>,<b>d</b>) A pair on <span class="html-italic">Orbicella franksi</span> with one individual inside a hole, which could be a nest, and another possibly guarding (photo credit B.W.H.).</p>
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<p>In situ photographs of <span class="html-italic">Coryphopterus lipernes</span> at Curaçao. (<b>a</b>) An individual on <span class="html-italic">Montastraea cavernosa</span> (photo credit B.W.H.). (<b>b</b>) A group of three individuals residing on <span class="html-italic">Colpophyllia natans</span> (photo credit A-C.Z.).</p>
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<p>Map of Curacao showing survey sites: (1) Playa Kalki, (2) Blue Bay, (3) Parasasa Beach, (4) Water Factory, (5) Double Reef, (6) Marie Pampoen Sewage, (7) Marie Pampoen, and (8) Tugboat Beach.</p>
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<p>Boxplots comparing abundances of <span class="html-italic">E. evelynae</span> (<b>a</b>) and <span class="html-italic">C. lipernes</span> (<b>b</b>) across three different depths. Asterisks indicate significant <span class="html-italic">p</span>-values: * = <span class="html-italic">p</span> &lt; 0.05, ** = <span class="html-italic">p</span> &lt; 0.01. Dots (•) indicate outliers.</p>
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<p>Boxplots comparing abundances of <span class="html-italic">Elacatinus evelynae</span> and <span class="html-italic">Coryphopterus lipernes</span> at three different depths. Asterisks indicate significant <span class="html-italic">p</span>-values: * = <span class="html-italic">p</span> &lt; 0.05, ** = <span class="html-italic">p</span> &lt; 0.01. Dots (•) indicate outliers.</p>
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<p>Proportions of small- and large-sized individuals in relation to depth of (<b>a</b>) <span class="html-italic">Elacatinus evelynae</span> and (<b>b</b>) <span class="html-italic">Coryphopterus lipernes</span>. Asterisks indicate significant <span class="html-italic">p</span>-values: *** = <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Overview of examined coral species with an indication of the proportion of corals hosting <span class="html-italic">Elacatinus evelynae</span>.</p>
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<p>The proportions of all host coral species <span class="html-italic">Montastraea cavernosa</span> (<b>a</b>), <span class="html-italic">Colpophyllia natans</span> (<b>b</b>), and <span class="html-italic">Pseudodiploria strigosa</span> (<b>c</b>) with <span class="html-italic">Elacatinus evelynae</span> present in relation to the host’s size class. Asterisks indicate significant <span class="html-italic">p</span>-values: * = <span class="html-italic">p</span> &lt; 0.05, ** = <span class="html-italic">p</span> &lt; 0.01, *** = <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Numbers of <span class="html-italic">Elacatinus evelynae</span> individuals on different sizes of <span class="html-italic">Montastraea cavernosa</span> (<b>a</b>) and <span class="html-italic">Colpophyllia natans</span> (<b>b</b>). Shaded areas indicate 95% confidence interval.</p>
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<p>Overview of the coral species that were examined during this study with indication of the proportion of corals with <span class="html-italic">Coryphopterus lipernes</span>.</p>
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<p>The proportions of all <span class="html-italic">Montastraea cavernosa</span> (<b>a</b>) and <span class="html-italic">Colpophyllia natans</span> (<b>b</b>) colonies with <span class="html-italic">Coryphopterus lipernes</span> present in relation to the host’s size class.</p>
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<p>Number of <span class="html-italic">Coryphopterus lipernes</span> individuals on different sizes of <span class="html-italic">Montastraea cavernosa</span> (<b>a</b>) and <span class="html-italic">Colpophyllia natans</span> (<b>b</b>). The regressions for <span class="html-italic">Montastraea cavernosa</span> are not significant. Shaded areas indicate 95% confidence interval.</p>
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16 pages, 2368 KiB  
Article
Evaluating Suitability of Fishing Areas for Squid-Jigging Vessels in the Northwest Pacific Ocean Derived from AIS Data
by Yingjie Fei, Shenglong Yang, Mengya Huang, Xiaomei Wu, Zhenzhen Yang, Jiangyue Zhao, Fenghua Tang, Wei Fan and Sanling Yuan
Fishes 2023, 8(10), 530; https://doi.org/10.3390/fishes8100530 - 23 Oct 2023
Cited by 2 | Viewed by 2345
Abstract
Understanding the spatial distribution of fishing activity and suitable fishing areas is important for improving sustainable fisheries management and protecting vulnerable fish stocks. To identify climate-related habitat changes and variations in the distribution of fishing activity for squid-jigging vessels in the Northwest Pacific [...] Read more.
Understanding the spatial distribution of fishing activity and suitable fishing areas is important for improving sustainable fisheries management and protecting vulnerable fish stocks. To identify climate-related habitat changes and variations in the distribution of fishing activity for squid-jigging vessels in the Northwest Pacific Ocean, two types (weighted arithmetic mean method, weighted-AMM; weighted geometric mean method, weighted-GMM) of habitat suitability index (HSI) models were developed in this study with marine environmental data at different depths. The boosted regression tree (BRT) model was adopted to access the monthly important environmental variables and the relative influence of the corresponding variables. The results showed that the weighted-AMM has better prediction performance than the weighted-GMM. The suitable fishing areas showed significant seasonal changes in both spatial location and coverage area. The hotspot map showed that the suitable fishing area for squid-jigging vessels was located in the scope of 42 N∼44 N, 155 E∼170 E throughout the year during 2012∼2019, which suggests that high squid-jigging fishing pressure should be given more attention in fishery management. The HSI model also had good prediction performance for the fishery data of Chinese companies, except for June and July. Additionally, fishing efforts could be used as alternative data for fishery research. The study has also suggested that fishery data are restricted by spatial and temporal distribution and fishing experience, which probably biases the results of the research. Full article
(This article belongs to the Section Fishery Facilities, Equipment, and Information Technology)
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<p>Spatial distribution of traditional fishing ground for the winter–spring cohort of neon flying squid in the North Pacific Ocean.</p>
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<p>Temporal distribution of fishing effort for squid-jigging vessel from 2012 to 2020.</p>
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<p>(<b>a</b>) AUC values of the monthly optimal BRT model in first modelling. (<b>b</b>) AUC values of the monthly optimal BRT model in second modelling.</p>
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<p>The relative influence of important environmental variables (%) for each month.</p>
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<p>Monthly distribution of fishing effort for squid-jigging vessel in the Northwest Pacific Ocean in 2020, overlaid on the HSI maps which were predicted by using weighted-AMM (<b>a</b>) and weighted-GMM (<b>b</b>), respectively, based on environmental data from 2020.</p>
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<p>(<b>a</b>) Fishing effort and frequency of fishing operations in 2020 based on AMM. (<b>b</b>) Fishing effort and frequency of fishing operations in 2020 based on GMM.</p>
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<p>Monthly distribution of hotspots for squid-jigging vessels during 2012∼2019.</p>
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<p>The frequency of locations with HSI &gt; 0.6 from June to November during 2012∼2019.</p>
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16 pages, 1451 KiB  
Article
Efficiency Analysis of China Deep-Sea Cage Aquaculture Based on the SBM–Malmquist Model
by Ying Zhang, Meng-Fei Li and Xiao-Han Fang
Fishes 2023, 8(10), 529; https://doi.org/10.3390/fishes8100529 - 23 Oct 2023
Cited by 4 | Viewed by 2369
Abstract
Deep-sea cage aquaculture (DSCA) is an important way to expand new space for marine aquaculture, promote the transformation and upgrade of the fishery industry, and optimize the structure of marine aquaculture. Using the panel data of DSCA in China’s coastal areas from 2013 [...] Read more.
Deep-sea cage aquaculture (DSCA) is an important way to expand new space for marine aquaculture, promote the transformation and upgrade of the fishery industry, and optimize the structure of marine aquaculture. Using the panel data of DSCA in China’s coastal areas from 2013 to 2021, this study constructs the SBM–Malmquist model to measure the DSCA production efficiency and analyzes its total factor productivity. The results show that the overall DSCA production efficiency exhibited an increasing trend in spite of a sharp decline in 2019. The efficiency exhibited regional differences, being the strongest in the Bohai Sea region, followed by in the Yellow Sea, the South China Sea, and the East China Sea regions. The overall total factor productivity remained generally stable, although a large fluctuation occurred between 2019 and 2021. Both pure technological efficiency and scale efficiency promoted the total factor productivity in 2019–2021, while the efficiency of technological changes in societal aspects declined. This study shows that the DSCA production efficiency is significantly influenced by input factors such as labor and capital investment. In addition, natural disasters inhibit the improvement of the production efficiency to some extent. Full article
(This article belongs to the Special Issue Aquaculture Economics and Fisheries Management II)
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<p>Map of China coastal provinces and seas.</p>
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<p>DSCA production efficiency in China from 2013 to 2021.</p>
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<p>Mean per capita regional gross domestic product (GDP) from 2013 to 2021 (RMB/person). Data source: National Bureau of Statistics of China official website.</p>
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<p>Total factor productivity changes in China’s deep–sea cage aquaculture.</p>
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<p>Technical efficiency changes and their decomposition indexes in China’s DSCA.</p>
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17 pages, 3577 KiB  
Article
Mitogenomic Analysis of Pterioidea (Bivalvia: Pteriomorphia): Insights into the Evolution of the Gene Rearrangements
by Yu Zhang, Lu Qi, Fengping Li, Yi Yang, Zhifeng Gu, Chunsheng Liu, Qi Li and Aimin Wang
Fishes 2023, 8(10), 528; https://doi.org/10.3390/fishes8100528 - 23 Oct 2023
Cited by 1 | Viewed by 2136
Abstract
The complete mitogenomes of Pinctada albina and Pinctada margaritifera were sequenced in this study, with sizes of 23,841 bp and 15,556 bp, respectively. The mitochondrial genome analysis of eight Pterioidea species indicated the existence of gene rearrangements within the superfamily. The ATP8 gene was not [...] Read more.
The complete mitogenomes of Pinctada albina and Pinctada margaritifera were sequenced in this study, with sizes of 23,841 bp and 15,556 bp, respectively. The mitochondrial genome analysis of eight Pterioidea species indicated the existence of gene rearrangements within the superfamily. The ATP8 gene was not detected in the two new mitogenomes, and rrnS was found to be duplicated in P. albina’s mitogenome. The reconstructed phylogeny based on mitogenomes strongly supported the monophyly of Pterioidea and provided robust statistical evidence of the phylogenetic relationships within Pteriomorphia. The analysis of the mitochondrial gene order revealed that of P. margaritifera to be the same as the ancestral order of Pterioidea. The gene orders of the Pterioidea species were mapped to the phylogenetic tree, and the gene rearrangement events were inferred. These results provide important insights that will support future research, such as studies extending the evolutionary patterns of the gene order from P. margaritifera to other species and determining the evolutionary status of Pterioidea within the infraclass Pteriomorphia. Full article
(This article belongs to the Section Genetics and Biotechnology)
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<p>Mitochondrial genome map of <span class="html-italic">P. albina</span> and <span class="html-italic">P. margaritifera.</span> Gene segments are drawn to scale.</p>
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<p>Amino acid compositions of <span class="html-italic">P. albina</span> and <span class="html-italic">P. margaritifera</span> mitochondrial genomes.</p>
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<p>Putative secondary structures of the tRNA genes in the mitogenome of <span class="html-italic">P. albina</span> (<b>A</b>) and <span class="html-italic">P. margaritifera</span> (<b>B</b>).</p>
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<p>Putative secondary structures of the tRNA genes in the mitogenome of <span class="html-italic">P. albina</span> (<b>A</b>) and <span class="html-italic">P. margaritifera</span> (<b>B</b>).</p>
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<p>Phylogenetic relationships of 8 Pterioidea species relative to other Pteriomorphia species, based on the concatenated nucleotide sequences of 12 mitochondrial protein-coding genes and two ribosomal RNA genes. Numbers at the nodes correspond to ML bootstrap proportions and the Bayesian posterior probabilities. Order and Superfamily affiliations of Pteriomorphia species are indicated on the the tree. Species marked with stars were sequenced in this study.</p>
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<p>(<b>A</b>) Pairwise comparisons of mitochondrial gene arrangements with all tRNAs removed in Pterioidea using CREx. The numbers indicate the similarity of the compared gene orders. The larger the number, the more similar the gene order between the two compared sequences. (<b>B</b>) Linearised PCGs and rRNA gene orders of Pterioidea, based on the phylogenetic tree. (<b>C</b>) The putative evolutionary patterns of Pterioidea mitochondrial PCGS and rRNA gene rearrangements.</p>
Full article ">Figure 5 Cont.
<p>(<b>A</b>) Pairwise comparisons of mitochondrial gene arrangements with all tRNAs removed in Pterioidea using CREx. The numbers indicate the similarity of the compared gene orders. The larger the number, the more similar the gene order between the two compared sequences. (<b>B</b>) Linearised PCGs and rRNA gene orders of Pterioidea, based on the phylogenetic tree. (<b>C</b>) The putative evolutionary patterns of Pterioidea mitochondrial PCGS and rRNA gene rearrangements.</p>
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18 pages, 737 KiB  
Article
Is It All about Profit? Greek Fishers’ Motives and Objective Profiles
by Alexandra Sintori, Vasilia Konstantidelli, Angelos Liontakis, Stamatis Mantziaris and Irene Tzouramani
Fishes 2023, 8(10), 527; https://doi.org/10.3390/fishes8100527 - 22 Oct 2023
Cited by 2 | Viewed by 2165
Abstract
Fishing contributes significantly to food security and offers employment and income to many coastal communities worldwide. On the other hand, it has been recognized as a dangerous and demanding activity that involves high economic risk and uncertainty as well as outdoor work and [...] Read more.
Fishing contributes significantly to food security and offers employment and income to many coastal communities worldwide. On the other hand, it has been recognized as a dangerous and demanding activity that involves high economic risk and uncertainty as well as outdoor work and interactions with nature, which makes fishing more of a way of life rather than just a way to make a living. Non-monetary attributes of fishing have been reported to affect fishers’ decision-making and management and can explain the resilience and sustainability of the sector, even in difficult economic circumstances that hinder profitability. This study uses multivariate statistical analysis to identify profiles of Greek fishers according to their motives and objectives and to link them to the main demographic and socioeconomic characteristics. Overall, five fisher profiles are identified, including “profit maximizers”, “business-oriented” and “subsistence” fishers. Our analysis indicates that all fishers value the non-monetary attributes of the activity higher than monetary values like profit, though large-scale fishers seem to be more business-oriented than small-scale fishers. The identification and understanding of the objective profiles provide useful insights to researchers, advisors and policymakers regarding fishers’ decision-making and can ultimately lead to more efficient policy design and fisheries management. Full article
(This article belongs to the Section Fishery Economics, Policy, and Management)
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<p>Spider-graph representing scores of objectives of Greek fishers relative to their activity per cluster.</p>
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<p>Spider-graph representing scores of additional lifestyle objectives of Greek fishers per cluster.</p>
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14 pages, 2160 KiB  
Article
Stress-Protective Role of Dietary α-Tocopherol Supplementation in Longfin Yellowtail (Seriola rivoliana) Juveniles
by Gloria Gertrudys Asencio-Alcudia, Cesar Antonio Sepúlveda-Quiroz, Juan Carlos Pérez-Urbiola, María del Carmen Rodríguez-Jaramillo, Andressa Teles, Joan Sebastián Salas-Leiva, Rafael Martínez-García, Luis Daniel Jiménez-Martínez, Mario Galaviz, Dariel Tovar-Ramírez and Carlos Alfonso Alvarez-González
Fishes 2023, 8(10), 526; https://doi.org/10.3390/fishes8100526 - 22 Oct 2023
Cited by 1 | Viewed by 3310
Abstract
Aquaculture practices expose fish to several factors that may generate stress, modifying the balance between the production of reactive oxygen species (ROS) and the activity of antioxidant defenses that induce cell damage. Alpha-tocopherol (VE) improves the antioxidant capacity against ROS production in fish. [...] Read more.
Aquaculture practices expose fish to several factors that may generate stress, modifying the balance between the production of reactive oxygen species (ROS) and the activity of antioxidant defenses that induce cell damage. Alpha-tocopherol (VE) improves the antioxidant capacity against ROS production in fish. A 50-day trial with longfin yellowtail (Seriola rivoliana) juveniles was conducted to compare the dietary supplementation of 500 mg/kg of VE against a control diet without VE supplementation on growth, lymphoid tissue enzymatic activity, immune-system-related gene expression, and the histology of the liver and spleen. Growth, weight gain, specific growth rate, feed conversion rate, and survival did not show significant differences (p > 0.05) among treatments. Fish fed with an α-tocopherol-enriched diet showed a higher enzymatic activity of superoxide dismutase in the liver (p < 0.05) and a lower percentage of melanomacrophage coverage area in the lymphoid organs (p < 0.05). Overexpression was observed of MyD88 and il-10 in the spleen, and il-1b in the liver in fish fed 500 mg/kg of VE, as well as overexpression of Toll-like 3 in the head kidney, spleen, and liver in fish fed the control diet. Dietary supplementation with VE reduces the effects of oxidative stress and improves lymphoid tissue defense and immune-related gene expression in S. rivoliana. Full article
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<p>Melanomacrophage (MMC) characteristics in <span class="html-italic">Seriola rivoliana</span>. H&amp;E stain of (<b>a</b>) Head kidney in fish fed control diet, (<b>b</b>) Head kidney in fish fed supplemented diet (500 mg/Kg of α-tocopherol), (<b>c</b>) Spleen in fish fed control diet, and (<b>d</b>) Spleen in fish fed supplemented diet (500 mg/Kg of α-tocopherol). A 40X magnification with arrows indicating MMCs.</p>
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<p>Percentage of (<b>A</b>) head kidney (HK-MMC) and (<b>B</b>) spleen (spleen-MMC) melanomacrophage coverage area in the control and VE-supplemented (with 500 mg/kg of ⍺-tocopherol) groups. The values are expressed as mean ± standard deviation (Student <span class="html-italic">t</span>-test; <span class="html-italic">p</span> &lt; 0.05; <span class="html-italic">n</span> = 3). Asterisks show statistical differences between treatments (Student <span class="html-italic">t</span>-test; <span class="html-italic">p</span> &lt; 0.05; <span class="html-italic">n</span> = 3).</p>
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<p>Enzymatic activities of the redox system. SOD: Superoxide dismutase activity (U mg protein<sup>−1</sup>) for (<b>A</b>) liver and (<b>B</b>) spleen, GPx: Glutathione peroxidase activity (U mg protein<sup>−1</sup>) for (<b>C</b>) liver and (<b>D</b>) spleen, and CAT: Catalase activity (nmol mg protein<sup>−1</sup>) for (<b>E</b>) liver and (<b>F</b>) spleen. The values are expressed as median ± interquartile range. a,b show statistical differences between treatments (Student <span class="html-italic">t</span>-test; <span class="html-italic">p</span> &lt; 0.05; <span class="html-italic">n</span> = 3).</p>
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<p>Relative gene expression (mean ± SD) of (<b>A</b>) Myeloid differentiation primary response 88 (<span class="html-italic">MyD88</span>), (<b>B</b>) Interleukin-1β (<span class="html-italic">il-1β</span>), (<b>C</b>) Interleukin-10 receptor subunit beta (<span class="html-italic">il-10</span>), and (<b>D</b>) Toll factor receptor 3 (<span class="html-italic">Toll-like 3</span>) in <span class="html-italic">S. rivoliana</span> juveniles. Symbols compare gene expression between treatments (control vs 500 mg/kg Vit E) for head kidney (+), liver (*) and spleen (^). Double symbol indicates differences between treatments. (U Mann–Whitney test; <span class="html-italic">p</span> &lt; 0.05; <span class="html-italic">n</span> = 3).</p>
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18 pages, 2513 KiB  
Article
Use of Space-Time Cube Model and Spatiotemporal Hot Spot Analyses in Fisheries—A Case Study of Tuna Purse Seine
by Ran Xu, Xiaoming Yang and Siquan Tian
Fishes 2023, 8(10), 525; https://doi.org/10.3390/fishes8100525 - 21 Oct 2023
Cited by 3 | Viewed by 2318
Abstract
Katsuwonus pelamis, or skipjack, is a vital resource in purse seine fishing across the Central and Western Pacific. Identifying skipjack distribution hotspots and coldspots is crucial for effective resource management, but the dynamic nature of fish behavior means these spots are not [...] Read more.
Katsuwonus pelamis, or skipjack, is a vital resource in purse seine fishing across the Central and Western Pacific. Identifying skipjack distribution hotspots and coldspots is crucial for effective resource management, but the dynamic nature of fish behavior means these spots are not constant. We used Chinese fishing logbook data from 2010 to 2019 to analyze skipjack resource hotspots and coldspots in a space-time cube. The study revealed 13 spatiotemporal patterns in skipjack Catch per Unit Effort (CPUE). Hotspots (36.53%) were concentrated in the central area, predominantly showing oscillating hotspots (21.25%). The significant effect of the eastern oscillating hotspot continues to be enhanced and extends to the east. Coldspots constituted 63.47% of the distribution, mainly represented by intensifying coldspots (25.07%). The no-pattern-detected type (10.53%) is distributed between coldspots and hotspots. The fishing grounds exhibited longitudinal oscillations of 3°–6° and latitudinal oscillations of 1°–2°. The spatial autocorrelation of cold and hot spot distribution was strong, and the spatiotemporal dynamic changes in skipjack resources were closely related to the El Niño-Southern Oscillation (ENSO) phenomenon. Notably, during 2011–2016, hotspots exhibited an eastward expansion trend, which continued from 2017–2019 due to the influence of fishery management measures, such as the Vessel Day Scheme (VDS) system. Full article
(This article belongs to the Section Biology and Ecology)
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<p>Important national, regional and management zones in the Pacific. The WCPFC Convention Area (WCPFC-CA) is outlined in dark blue, the IATTC Convention Area (IATTC-CA) area is outlined in red. The western and central Pacific Ocean (WCPO) includes all of the WCPFC-CA, minus the overlap with the IATTC-CA; the eastern Pacific Ocean (EPO) is coincident with the IATTC-CA. Pacific nation EEZs are outlined in grey and archipelagic waters are shaded turquoise [<a href="#B23-fishes-08-00525" class="html-bibr">23</a>].</p>
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<p>Spatio-temporal cube displayed in three-dimensional mode. Layers represent skipjack catch data by year.</p>
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<p>Mann–Kendall trend test results for CPUE of skipjack, with cool and warm colors representing areas where cold and hot spots are likely to occur, respectively.</p>
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<p>Spatiotemporal distribution of hot (warm colors) and cold (cold colors) of skipjack tuna CPUE, showing 13 spatial and temporal distribution patterns, with stable distribution patterns of cold and hot spots.</p>
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<p>The change in the number of years of sustained significant hotspots in oscillating hotspot regions. The numbers in the figure indicate the duration of significant hotspots manifested at the location.</p>
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<p>Results of the three-dimensional hotspot analysis of total annual catch, with each layer representing a year, analyzing the hotspot movement trend of skipjack CPUE from year to year, with an overall eastward trend between years.</p>
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14 pages, 9118 KiB  
Article
Advanced Robotic System with Keypoint Extraction and YOLOv5 Object Detection Algorithm for Precise Livestock Monitoring
by Balaji Natesan, Chuan-Ming Liu, Van-Dai Ta and Raymond Liao
Fishes 2023, 8(10), 524; https://doi.org/10.3390/fishes8100524 - 21 Oct 2023
Cited by 5 | Viewed by 2064
Abstract
Molting is an essential operation in the life of every lobster, and observing this process will help us to assist lobsters in their recovery. However, traditional observation consumes a significant amount of time and labor. This study aims to develop an autonomous AI-based [...] Read more.
Molting is an essential operation in the life of every lobster, and observing this process will help us to assist lobsters in their recovery. However, traditional observation consumes a significant amount of time and labor. This study aims to develop an autonomous AI-based robot monitoring system to detect molt. In this study, we used an optimized Yolov5s algorithm and DeepLabCut tool to analyze and detect all six molting phases such as S1 (normal), S2 (stress), S3–S5 (molt), and S6 (exoskeleton). We constructed the proposed optimized Yolov5s algorithm to analyze the frequency of posture change between S1 (normal) and S2 (stress). During this stage, if the lobster stays stressed for 80% of the past 6 h, the system will assign the keypoint from the DeepLabCut tool to the lobster hip. The process primarily concentrates on the S3–S5 stage to identify the variation in the hatching spot. At the end of this process, the system will re-import the optimized Yolov5s to detect the presence of an independent shell, S6, inside the tank. The optimized Yolov5s embedded a Convolutional Block Attention Module into the backbone network to improve the feature extraction capability of the model, which has been evaluated by evaluation metrics, comparison studies, and IoU comparisons between Yolo’s to understand the network’s performance. Additionally, we conducted experiments to measure the accuracy of the DeepLabCut Tool’s detections. Full article
(This article belongs to the Special Issue AI and Fisheries)
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<p>Image of Indo-Pacific lobster territory.</p>
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<p>Yolov5s-CBAM architecture.</p>
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<p>CBAM (Convolutional Block Attention Module) structure.</p>
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<p>Lobster stress posture detection (<b>a</b>); lobster with keypoint detection after preprocessing the image (<b>b</b>), where cyan represents x1, orange x2, light green y1, and red y2.</p>
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<p>Distress postures (1,2); molting stages (beginning, middle, end) (3,4); exoskeleton (5); normal postures (6).</p>
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<p>Lobster monitoring setup. (<b>a</b>) Components: <span class="html-italic">z</span>-axis camera motor (1); x and y-axes motors (2,3,4); IR camera (5); CPU cabinate (6); individual tanks (7,8); (<b>b</b>) real-world configuration; (<b>c</b>) camera placement inside the container.</p>
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<p>Lateral view of lobster: starting stage of molting (<b>a</b>); mid-stage of molting (<b>b</b>).</p>
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<p>Yolov5s-CBAM detection results between lobster and exoskeleton post molt.</p>
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<p>Flowchart.</p>
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<p>Comparison between ground truth (<b>a</b>), Yolov5s-CBAM (<b>b</b>), Yolov5s (<b>c</b>), and Yolov7 (<b>d</b>).</p>
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<p>Train and eval loss curves.</p>
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<p>Precision and recall plot.</p>
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23 pages, 3559 KiB  
Article
Impacts of Long-Term Exposure to Ocean Acidification and Warming on Three-Spined Stickleback (Gasterosteus aculeatus) Growth and Reproduction
by Jimmy Devergne, Véronique Loizeau, Christophe Lebigre, Anne Bado-Nilles, Sophie Collet, Olivier Mouchel, Ugo Iaria, Marie-Madeleine Le Gall, Lauriane Madec, Cyril Turiès and Arianna Servili
Fishes 2023, 8(10), 523; https://doi.org/10.3390/fishes8100523 - 21 Oct 2023
Cited by 3 | Viewed by 2980
Abstract
The warming and acidification of surface waters as predicted by the IPCC leads aquatic species to face major multifaceted changes in their environment. Although teleosts have efficient regulatory systems to cope with these changes, such changes clearly have the potential to impact their [...] Read more.
The warming and acidification of surface waters as predicted by the IPCC leads aquatic species to face major multifaceted changes in their environment. Although teleosts have efficient regulatory systems to cope with these changes, such changes clearly have the potential to impact their physiological functions. Hence, it is crucial to estimate the ability of teleost fishes to cope with multi-stresses to predict how they will deal with future environments. In this context, we investigated the joint effect of warming and acidification on three-spined stickleback (Gasterosteus aculeatus) from the juvenile stage to adulthood, focusing on parameters linked to growth, sexual maturation, and reproduction. Juvenile sticklebacks were split in 2 climate scenarios: a “Current” scenario corresponding to the current seasonal physico-chemical parameters of the water of the “Rade de Brest” in France, and a “RCP8.5” scenario with a warming of 3 °C and an acidification of 0.4 pH units. After 7 months, fish in the RCP8.5 scenario reached the same size and mass as those in the Current scenario, but they needed greater amounts of food to reach satiety. Furthermore, the mortality rate over the experiment was higher in the RCP8.5 scenario. Muscle lipid content, an indicator of energy reserves, was lower in females in the RCP8.5 scenario, suggesting an increased need for energy to maintain homeostasis and other physiological functions or a divergence in energy allocation strategy. Moreover, females exhibited lower sexual maturation and egg quality under the RCP8.5 scenario, which could have contributed to the lower fertilisation rate observed. Males were more resilient to the RCP8.5 scenario, exhibiting only a trend for lower kidney somatic index scores. Altogether, these results suggest a delay and/or an inhibition of gametogenesis and maturation in fish in warmed and acidified waters. The analysis of blood sex steroid concentrations, brain gene expression profiles, and physiological indexes did not allow us to discriminate between a delay and an inhibition of maturation in the RCP8.5 scenario. Overall, these findings clearly indicate that there is a long-term global impact of combined acidification and warming on the mortality and reproductive performance of three-spined stickleback. Full article
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<p>Temperature (°C) in the Current (in grey) and RCP8.5 (in black) scenarios throughout the experiment.</p>
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<p>Stickleback mass values under Current (in light grey) and RCP8.5 (in dark grey) scenarios (<span class="html-italic">n =</span> 144 per scenario). The white box represents the mean mass of the population sample before the beginning of the experiment (<span class="html-italic">n =</span> 125). The 10th and 90th percentiles are represented by the whiskers, the 25th and 75th percentiles by the boxes, the median values by horizontal lines and outliers by points.</p>
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<p>Stickleback muscle lipid storage after 7 months under Current (in light grey) and RCP8.5 (in dark grey) scenarios for female (white stripes) and male (no stripes) (<span class="html-italic">n</span> = 8). The 10th and 90th percentiles are represented by the whiskers, the 25th and 75th percentiles by the boxes, the median values by horizontal lines and outliers by points. Different letters indicate a significant difference between the boxes.</p>
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<p>Boxplots representing relative expression of <span class="html-italic">gnrh2</span> (<b>A</b>), <span class="html-italic">gnrh3</span> (<b>B</b>), <span class="html-italic">kiss2</span> (<b>C</b>), <span class="html-italic">gnih</span> (<b>D</b>) and <span class="html-italic">cyp19a1b</span> (<b>E</b>) in the median brain of sticklebacks after 7 months of exposure to Current (in light grey) and RCP8.5 (in dark grey) scenarios for female (white stripes) and male (no stripes) (females: <span class="html-italic">n</span> = 4 and 5 for Current and RCP8.5 scenarios, respectively; males: <span class="html-italic">n</span> = 5 and 7 for Current and RCP8.5, respectively). The 10th and 90th percentiles are represented by the whiskers, the 25th and 75th percentiles by the boxes, the median values by horizontal lines and outliers by points. Different letters indicate a significant difference between the boxes.</p>
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<p>Proportions of oocytes in different maturation stages in stickleback ovaries (<b>A</b>) and proportion of advanced maturation oocytes (<b>B</b>) under Current (light grey) and RCP8.5 (dark grey) scenarios (<span class="html-italic">n</span> = 8). The 10th and 90th percentiles are represented by the whiskers, the 25th and 75th percentiles by the boxes, and the median values by horizontal lines. Different letters indicate a significant difference between the boxes.</p>
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<p>Proportions of tubules in different maturation stages in the stickleback testis (<b>A</b>) and proportion of spawning tubules (<b>B</b>) under Current (light grey) and RCP8.5 (dark grey) scenarios (<span class="html-italic">n</span> = 8). The 10th and 90th percentiles are represented by the whiskers, the 25th and 75th percentiles by the boxes, the median values by horizontal lines and outliers by points.</p>
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<p>Blood concentrations of 11-keto-testosterone (11-KT; panel (<b>A</b>)) and 17-β-estradiol (E2; panel (<b>B</b>)) in stickleback males under Current (light grey; <span class="html-italic">n</span> = 17) and RCP8.5 (dark grey; <span class="html-italic">n</span> = 26) scenarios. The 10th and 90th percentiles are represented by the whiskers, the 25th and 75th percentiles by the boxes, the median values by horizontal lines and outliers by points.</p>
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<p>Boxplots representing the diameter (<b>A</b>) and the perivitelline index (<b>B</b>) at 1 and 3 days post fertilisation (Dpf) under Current (light grey) and RCP8.5 (dark grey) scenarios (Current, Dpf 1 <span class="html-italic">n</span> = 19, Dpf 3 <span class="html-italic">n</span> = 14; RCP8.5, Dpf 1 <span class="html-italic">n</span> = 22, Dpf 3 <span class="html-italic">n</span> = 10). The 10th and 90th percentiles are represented by the whiskers, the 25th and 75th percentiles by the boxes, the median values by horizontal lines and outliers by points. Different letters indicate a significant difference between the boxes.</p>
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16 pages, 5182 KiB  
Article
First Records of a Hydrolagus Species (Holocephali: Chimaeridae) from Reunion Island and Mayotte (Southwestern Indian Ocean)
by Bernard Séret and Jean-Pascal Quod
Fishes 2023, 8(10), 522; https://doi.org/10.3390/fishes8100522 - 20 Oct 2023
Viewed by 1939
Abstract
Two specimens of large blackish chimaeras of the genus Hydrolagus were caught, one off Reunion Island and the other off Mayotte in the southwestern Indian Ocean. The specimens, an adult male of 710 mm BDL and a female of 870 m BDL, are [...] Read more.
Two specimens of large blackish chimaeras of the genus Hydrolagus were caught, one off Reunion Island and the other off Mayotte in the southwestern Indian Ocean. The specimens, an adult male of 710 mm BDL and a female of 870 m BDL, are described, compared to similar species (i.e., having a large size, over 110 cm TL, dark blackish colour, and rather long conical snout), and tentatively identified to the small-eyed rabbitfish Hydrolagus affinis, pending a taxonomic revision of the large blackish chimaeras is completed. Full article
(This article belongs to the Special Issue Featured Papers in Taxonomy, Evolution, and Biogeography Section)
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<p>Map showing the localities where the two specimens of <span class="html-italic">Hydrolagus affinis</span> were caught off Reunion and Mayotte Islands in the southwestern Indian Ocean.</p>
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<p>Lateral view of the two females of <span class="html-italic">Hydrolagus affinis</span> freshly caught off Reunion Island. (<b>top</b>): preserved specimen, adult female, 870 mm BDL, MNHN 2015-0098; (<b>bottom</b>): discarded specimen.</p>
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<p><span class="html-italic">Hydrolagus affinis</span> from Reunion Island, dorsal view of adult female, 870 mm BDL, MNHN 2015-0098, freshly caught.</p>
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<p><span class="html-italic">Hydrolagus affinis</span> from Reunion Island, adult female, 870 mm BDL, MNHN 2015-0098, lateral view.</p>
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<p><span class="html-italic">Hydrolagus affinis</span> from Mayotte Island, adult male, 710 mm BDL, MNHN 2015-0097, lateral view.</p>
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<p><span class="html-italic">Hydrolagus affinis</span> from Reunion Island, MNHN 2015-0098, lateral view of head.</p>
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<p><span class="html-italic">Hydrolagus affinis</span> from Mayotte Island, MNHN 2015-0097, lateral view of head.</p>
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<p><span class="html-italic">Hydrolagus affinis</span> from Reunion Island, MNHN 2015-0098, tail tip.</p>
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<p><span class="html-italic">Hydrolagus affinis</span> from Mayotte Island, MNHN 2015-0097, tail tip.</p>
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<p><span class="html-italic">Hydrolagus affinis</span> from Reunion Island, MNHN 2015-0098, jaws.</p>
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<p><span class="html-italic">Hydrolagus affinis</span> from Reunion Island, MNHN 2015-0097, jaws.</p>
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<p><span class="html-italic">Hydrolagus affinis</span> from Mayotte Island, MNHN 2015-0097, claspers.</p>
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<p><span class="html-italic">Hydrolagus affinis</span> from Mayotte Island, MNHN 2015-0097, frontal tenaculum.</p>
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<p><span class="html-italic">Hydrolagus affinis</span>, MNHN 2015-0097, prepelvic tenaculum.</p>
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<p><span class="html-italic">Hydrolagus affinis</span> from Saint-Paul Island, MNHN 2004-0820, lateral line canals on the left side of the head showing the common branch shared by POP and O canals.</p>
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<p><span class="html-italic">Hydrolagus affinis</span> from Saint-Paul Island, MNHN 2004-0820, lateral line canals on the right side of the head showing the direct connections of POP and O canals to OT and IO canals.</p>
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16 pages, 1625 KiB  
Article
Winter Behavior of Juvenile Brown Trout in a Changing Climate: How Do Light and Ice Cover Affect Encounters with Instream Predators?
by Karl Filipsson, Veronika Åsman, Larry Greenberg, Martin Österling, Johan Watz and Eva Bergman
Fishes 2023, 8(10), 521; https://doi.org/10.3390/fishes8100521 - 20 Oct 2023
Cited by 2 | Viewed by 1733
Abstract
During winter, stream fishes are vulnerable to semi-aquatic predators like mammals and birds and reduce encounters by being active in darkness or under surface ice. Less is known about the behavior of fishes towards instream piscivorous fishes. Here, we examined how surface ice [...] Read more.
During winter, stream fishes are vulnerable to semi-aquatic predators like mammals and birds and reduce encounters by being active in darkness or under surface ice. Less is known about the behavior of fishes towards instream piscivorous fishes. Here, we examined how surface ice and light affected the anti-predator behavior of juvenile brown trout (Salmo trutta Linnaeus, 1758) in relation to piscivorous burbot (Lota lota Linnaeus, 1758) and northern pike (Esox lucius Linnaeus, 1758) at 4 °C in experimental flumes. Trout had lower foraging and swimming activity and spent more time sheltering when predators were present than when absent. In daylight, trout’s swimming activity was not affected by predators, whereas in darkness trout were less active when predators were present. Trout consumed more drifting prey during the day when ice was present, and they positioned themselves further upstream when under ice cover, regardless of light conditions. Trout stayed closer to conspecifics under ice, but only in the presence of pike. Piscivorous fishes thus constitute an essential part of the predatory landscape of juvenile trout in winter, and thus loss of ice cover caused by climate warming will likely affect trout’s interactions with predators. Full article
(This article belongs to the Special Issue Effect of Climate Change on Salmonid Fishes in Rivers)
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<p>Birds-eye view of the experimental setup. Predators, i.e., burbot or pike, were kept in enclosed predator arenas upstream of the brown trout. We used net screens to separate trout from the predators. A plastic sheet 10 cm above the substrate provided overhead shelter for the trout, and a stone in the middle of the trout arenas provided a focal point when trout were foraging. Red chironomid larvae were used as food for the trout and were delivered to the trout through a funnel and tube, which entered the trout arenas through an opening in the net in the middle of the cross-section at 5 cm water depth. No predators were present in the control treatment.</p>
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<p>Effects of the presence of piscivorous fish, surface ice cover and light conditions on the (day/night) foraging behavior of juvenile brown trout. Foraging behavior is quantified as (<b>A</b>) the number of trout pairs (out of 12) that foraged and (<b>B</b>) the number of consumed prey (out of 13). Error bars in panel B indicate ± 1 SE.</p>
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<p>The number of trout pairs (out of 12) that exhibited aggression under different predator, ice cover and light treatments (day/night), both during the 3-min period when drifting prey were delivered (foraging trials) (<b>A</b>) and the 7-min period immediately after (<b>B</b>).</p>
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<p>Effects of the presence of piscivorous fish, surface ice cover and light conditions on the (day/night) proportion of time that juvenile brown trout are (<b>A</b>,<b>B</b>) actively swimming and (<b>C</b>,<b>D</b>) seeking shelter under overhead cover, during and after the feeding period, i.e., during the 3-min period when drifting prey were delivered and the 7-min period immediately after. Error bars indicate ± 1 SE.</p>
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<p>Effects of the presence of piscivorous fish, surface ice cover and light conditions (day/night) on the longitudinal distance between the trout pairs and between the trout and the predator arena (trout positions along the upstream-downstream axis) in the experimental flumes, during and after the feeding period, i.e., during the 3-min period when drifting prey were delivered and the 7-min period immediately after. The panels show (<b>A</b>,<b>B</b>) how far the trout positioned themselves downstream of the demarcation lines of the predator arenas (no predators present in control treatments), and (<b>C</b>,<b>D</b>) the average distance between the two trout in each pair. Error bars indicate ± 1 SE.</p>
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12 pages, 1283 KiB  
Article
Phylogeographic Analyses of the Shortfin Mako, Isurus oxyrinchus Rafinesque, 1810 (Chondrichthyes: Lamniformes) from the Central Mediterranean Sea, a Critically Endangered Species in the Region
by Noel Vella and Adriana Vella
Fishes 2023, 8(10), 520; https://doi.org/10.3390/fishes8100520 - 20 Oct 2023
Cited by 3 | Viewed by 1860
Abstract
The Shortfin mako shark, Isurus oxyrinchus Rafinesque, 1810, is a globally distributed highly migratory pelagic shark species, occurring mostly in temperate and tropical regions, including the Mediterranean Sea where it is by-caught during fishing activities targeting other economically important fish species. The aim [...] Read more.
The Shortfin mako shark, Isurus oxyrinchus Rafinesque, 1810, is a globally distributed highly migratory pelagic shark species, occurring mostly in temperate and tropical regions, including the Mediterranean Sea where it is by-caught during fishing activities targeting other economically important fish species. The aim of this study is to investigate the genetic connectivity of the Shortfin mako from the central Mediterranean Sea to previously studied populations. The mtDNA control region (CR), 977 bp, of 37 I. oxyrinchus specimens collected between 2004 and 2012 from landings in Malta were analysed, and we identified nine haplotypes, including three newly discovered haplotypes that may be unique to the Mediterranean Sea and which represent 16.7% of the studied individuals. These haplotypes, together with variations in haplotype frequencies, led to significant FST and ϕST values between the Mediterranean population and other global populations, with the exception of that from the north Atlantic Ocean. This study provides the first insight of the mtDNA CR diversity of this critically endangered species in the Mediterranean Sea and highlights the importance of conserving this species in the region. Full article
(This article belongs to the Section Biology and Ecology)
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<p>A map showing the geographic area from which the Mediterranean specimens were collected and the geographical areas from which sequences of Shortfin mako (<span class="html-italic">Isurus oxyrinchus</span>) used for phylogeographic analyses were retrieved [<a href="#B36-fishes-08-00520" class="html-bibr">36</a>]. The insert indicates the position of Malta, which represents the landing site from which the sampled sharks were collected.</p>
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<p>Length frequency distribution of Shortfin mako (<span class="html-italic">Isurus oxyrinchus</span>) sampled from the central Mediterranean during this study.</p>
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<p>A haplotype network including the nine haplotypes (H1 to H9) identified from the currently analysed Mediterranean specimens (<span class="html-italic">n</span> = 37; blue) and the haplotypes from the nearest population, i.e., from the northeastern Atlantic Ocean as identified in Corrigan et al. [<a href="#B36-fishes-08-00520" class="html-bibr">36</a>] (<span class="html-italic">n</span> = 30; orange). The boxes next to the haplotypes indicate other locations where the same haplotypes were found [<a href="#B36-fishes-08-00520" class="html-bibr">36</a>]. The haplotype frequencies are proportional with the area of the circle, while the black circles represent inferred putative haplotypes detected neither in the Mediterranean nor in the northeastern Atlantic Ocean. * Marks the most common global haplotype identified in Corrigan et al. [<a href="#B36-fishes-08-00520" class="html-bibr">36</a>]. Insert represents the haplotype rarefaction curve for the Mediterranean samples, including the 95% confidence intervals in grey.</p>
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7 pages, 893 KiB  
Communication
Regional Variation in the Trophic Ecology of Wahoo (Acanthocybium solandri) in the Western Atlantic Ocean
by Brendan Gough, Alexandra Prouse, Michael A. Dance, R. J. David Wells and Jay R. Rooker
Fishes 2023, 8(10), 519; https://doi.org/10.3390/fishes8100519 - 20 Oct 2023
Viewed by 1604
Abstract
Intrinsic tracers, such as stable isotopes of carbon and nitrogen, are common dietary markers that accumulate in the muscle tissue of consumers and can be used to determine the dietary sources and trophic positions of consumers. The aim of this study was to [...] Read more.
Intrinsic tracers, such as stable isotopes of carbon and nitrogen, are common dietary markers that accumulate in the muscle tissue of consumers and can be used to determine the dietary sources and trophic positions of consumers. The aim of this study was to assess regional variation in the trophic ecology of wahoo (Acanthocybium solandri) using bulk stable isotopes. Muscle biopsies of wahoo were collected from four regions in the western Atlantic Ocean: the eastern Gulf of Mexico, western Gulf of Mexico, Northwest Atlantic Ocean, and Caribbean Sea. Muscle tissue δ13C and δ15N values for wahoo ranged from −15.8‰ to −18.8‰ and from 7.2‰ to 12.8‰, respectively. Wahoo collected in the Caribbean Sea displayed the highest mean δ13C value (−16.3‰), and individuals from this region were statistically different from the three other regions sampled. Mean δ15N values were elevated for wahoo collected in the eastern and western Gulf of Mexico (11.4‰ and 11.1‰, respectively), and the values were over 2‰ higher than samples from the Northwest Atlantic Ocean and Caribbean Sea. Trophic position (TP) was estimated using δ15N baselines (zooplankton) and δ15N wahoo values for each region, and mean TP was 0.4 to 0.9 higher in the Caribbean Sea relative to the three other regions, suggesting that wahoo in this region feed on higher-trophic-level prey. The results indicate that δ15N baselines and the trophic positions of wahoo each vary as a function of their geographic location, which supports the hypothesis that this species feeds opportunistically throughout its range. Full article
(This article belongs to the Special Issue Trophic Ecology of Fishes)
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<p>Sampling regions for wahoo in the western Atlantic Ocean: western Gulf of Mexico (Texas), eastern Gulf of Mexico (Mississippi to Florida), Caribbean Sea (Puerto Rico, U.S. Virgin Islands), and Northwest Atlantic Ocean (North Carolina). All samples were opportunistically collected via recreational and commercial fishing operations once vessels returned to port.</p>
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<p>Confidence ellipses (50%) based on δ<sup>13</sup>C and δ<sup>15</sup>N values of wahoo from the Gulf of Mexico (East, open triangles; West, filled triangles), Northwest Atlantic Ocean (open circles), and Caribbean Sea (filled circles). Values for individual wahoo shown with symbols.</p>
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15 pages, 2343 KiB  
Article
Inadequate Sampling Frequency and Imprecise Taxonomic Identification Mask Results in Studies of Migratory Freshwater Fish Ichthyoplankton
by Paulo Santos Pompeu, Lídia Wouters, Heron Oliveira Hilário, Raquel Coelho Loures, Alexandre Peressin, Ivo Gavião Prado, Fábio Mineo Suzuki and Daniel Cardoso Carvalho
Fishes 2023, 8(10), 518; https://doi.org/10.3390/fishes8100518 - 19 Oct 2023
Cited by 3 | Viewed by 2207
Abstract
In South America, knowledge of major spawning sites is crucial for maintaining migratory fish populations. In this study, we aimed to understand the spatio-temporal distribution of fish eggs in the upper São Francisco River using high sampling frequency and DNA metabarcoding identification. We [...] Read more.
In South America, knowledge of major spawning sites is crucial for maintaining migratory fish populations. In this study, we aimed to understand the spatio-temporal distribution of fish eggs in the upper São Francisco River using high sampling frequency and DNA metabarcoding identification. We evaluated the possible effects of the non-molecular identification of eggs and decreased sampling frequency on the determination of spawning sites and major breeding periods. Collections were carried out every three days from November 2019 to February 2020. We found that, if we had assumed that all of the free and non-adhesive sampled eggs belonged to migratory species, as is usual in the literature, this assumption would have been wrong for both the spawning sites and the breeding periods. Moreover, any decrease in the frequency of sampling could dramatically affect the determination of the major spawning rivers, and the spawning events of some of the migratory species may not have been detected. Therefore, without the proper identification and adequate sampling frequency of eggs, important spawning sites may be overlooked, leading to ineffective or inappropriate conservation measures. Full article
(This article belongs to the Special Issue Biomonitoring and Conservation of Freshwater & Marine Fishes)
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<p>Map of the study area, showing the locations of the sampling sites in the upper São Francisco River, Minas Gerais, Brazil.</p>
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<p>Non−metric multidimensional scaling (NMDS) plot showing ordination based on DNA metabarcoding of taxa abundance, with similarity estimated using Bray–Curtis. Ellipses encompass all samples from the same site. São Francisco River sites are represented by SFB, SFP, and SFS; and tributaries by PAR, BAM, and SAM.</p>
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<p>Estimated egg density of all species (<b>A</b>) and migratory species (<b>B</b>) per sampling point in the upper São Francisco River from samplings every three days (dot = mean; box = standard error; whisker = range).</p>
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<p>Total egg density (red) and estimated density of migratory species eggs (green) during the sampling period in the upper São Francisco River from sampling every three days (dot = mean; box = standard error; whisker = range).</p>
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<p>Total egg density (<b>A</b>) and estimated egg density of migratory species (<b>B</b>) by collection point in the upper São Francisco River, considering samplings every six days. Different colors represent each of the two simulations (dot = mean; box = standard error; whisker = range).</p>
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<p>Total egg density (<b>A</b>) and estimated density of eggs from migratory species (<b>B</b>) per sampling site in the upper São Francisco River, considering sampling every 15 days. Different colors represent each of the five simulations (dot = mean; box = standard error; whisker = range).</p>
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<p>Number of migratory species with spawning recorded for each sampling point, considering intervals of 3, 6, or 15 days between collections.</p>
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<p>Number of spawning sites inferred for each migratory species, considering sampling intervals of 3, 6, or 15 days.</p>
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16 pages, 8368 KiB  
Article
Aboriginal Tribe’s Knowledge of the Endangered Freshwater Turtle Cuora amboinensis in Car Nicobar, a Remote Oceanic Island in the Bay of Bengal
by Rajendran Kiruba-Sankar, Sirisha Adamala, Jessica Barman, Kandasamy Saravanan, Jayasimhan Praveenraj, Eswaran Yuvaraj, Gokhlesh Kumar and Sheikh Zamir Ahmed
Fishes 2023, 8(10), 517; https://doi.org/10.3390/fishes8100517 - 18 Oct 2023
Cited by 1 | Viewed by 2003
Abstract
Freshwater turtles are among the least studied faunas in the Andaman and Nicobar Islands, India. Here, we report the presence of freshwater turtles (Cuora amboinensis) from Car Nicobar, a small remote island in the Nicobar archipelago comprising the Andaman and Nicobar [...] Read more.
Freshwater turtles are among the least studied faunas in the Andaman and Nicobar Islands, India. Here, we report the presence of freshwater turtles (Cuora amboinensis) from Car Nicobar, a small remote island in the Nicobar archipelago comprising the Andaman and Nicobar Islands. Semi-structured interviews were conducted with the people belonging to Nicobarese tribes (n = 233) to gather their local ecological knowledge as supportive information to obtain a better understanding of the status of turtles in Car Nicobar. Most interviewees (90%) opined that freshwater turtles are found to be rare or very rare on the Island. All the respondents (100%) expressed willingness to contribute to future conservation projects. Community-level awareness emerged as a prominent issue for future conservation using the Garrett ranking method. A stream network map was prepared using the digital elevation model to visualize streams and potential habitats of turtles. This report on the freshwater turtles is essential from an ecological perspective since information is scarce on the freshwater turtles in Car Nicobar. This study emphasizes the importance of the engagement of stakeholders in conservation projects and recommends providing adequate attention to the conservation and protection of freshwater turtle diversity in Car Nicobar. Full article
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<p>Map showing the location of the study area, Car Nicobar Island, India.</p>
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<p>Sampling of turtles. (<b>A</b>) Live turtles are being collected from Kimious village stream. (<b>B</b>) Type locality of Kimious stream. (<b>C</b>) A narrow stream inside a dense forest in Car Nicobar.</p>
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<p>Number of the respondents from Car Nicobar villages who participated in the surveys (<span class="html-italic">n</span> = 233).</p>
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<p>(<b>A</b>) Southeast Asian box turtle with retracted limbs. (<b>B</b>) Characteristic coloration of its head, which is dark brown or olive above and yellow below, with three yellow or orangish-yellow stripes running across the sides of the head. Its limbs are olive in color, and its digits are completely webbed. (<b>C</b>) Characteristic dome-shaped carapace with a pale vertebral keel.</p>
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<p>Spotting and distribution of turtles. (<b>A</b>) Time since the last spotting of the turtles by the respondents. (<b>B</b>) Distribution status of turtles based on the stakeholder response.</p>
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<p>Respondents (No.) knowledge of the sites where the turtles can be spotted in Car Nicobar. The location Kimious topped the sites, followed by Arong and Sawai.</p>
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<p>Stream network map prepared based on Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM). The sites surveyed in this study are highlighted and the streams possibly situated in other parts of the island are also located.</p>
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19 pages, 1893 KiB  
Review
Application of Artificial Intelligence in the Study of Fishing Vessel Behavior
by Xin Cheng, Fan Zhang, Xinjun Chen and Jintao Wang
Fishes 2023, 8(10), 516; https://doi.org/10.3390/fishes8100516 - 18 Oct 2023
Cited by 6 | Viewed by 6245
Abstract
Monitoring and understanding the behavior of fishing vessels are important in facilitating effective management, preventing illegal fishing, informing fishing grounds and evaluating effects of harvests on fishery resources. In recent decades, a large quantity of real-time data of fishing vessels have become available [...] Read more.
Monitoring and understanding the behavior of fishing vessels are important in facilitating effective management, preventing illegal fishing, informing fishing grounds and evaluating effects of harvests on fishery resources. In recent decades, a large quantity of real-time data of fishing vessels have become available with the development of vessel-tracking systems, making it possible to study the behavior of fishing vessels in high spatial and temporal resolutions. To effectively and efficiently deal with the large amount of data, algorithms from artificial intelligence (AI) are increasingly applied in the study of fishing vessel behavior. In this paper, we first introduce the various data sources for studying fishing vessel behavior and compare their pros and cons. Secondly, we review the AI methods that have been used to monitor and extract the behavior of fishing vessels from big data. Then, studies on the physical, ecological and social mechanisms affecting the behavior of fishing vessels were synthesized. Lastly, we review the applications of fishing vessel behavior in fishery science and management. Full article
(This article belongs to the Section Fishery Facilities, Equipment, and Information Technology)
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<p>The overall structural framework of the paper.</p>
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<p>Comparison of the number of studies in the literature in four applications of AI in the field of fishing vessel behavior from 2014 to 2023.</p>
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<p>AI-based flowchart of fishing vessel behavior-type identification.</p>
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<p>Dynamic estimation of fishery resources based on AI.</p>
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14 pages, 1015 KiB  
Article
The Effect of Water Spinach on the Water Quality, Antioxidant System, Non-Specific Immune Response, Growth Performance, and Carbon Balance in Red Tilapia Production
by Yuan-Yuan Luo, Xian-Can Chen, Rui-Lin Xie, Zhuo-Hao Ruan, Zhi-Qiang Lu, Liang-Sen Jiang, Yi-Fu Li and Wen-Sheng Liu
Fishes 2023, 8(10), 515; https://doi.org/10.3390/fishes8100515 - 18 Oct 2023
Cited by 5 | Viewed by 4096
Abstract
In this study, the compound aquaculture model of red tilapia (O. mossambicus albina × O. urolepis hornorum) and water spinach (Ipomoea aquatica) was used to investigate the effect of water spinach rafts on the water quality, antioxidant system, non-specific [...] Read more.
In this study, the compound aquaculture model of red tilapia (O. mossambicus albina × O. urolepis hornorum) and water spinach (Ipomoea aquatica) was used to investigate the effect of water spinach rafts on the water quality, antioxidant system, non-specific immune response, and growth performance of red tilapia and the carbon balance of payments. Red tilapia is characterized by its high adaptability to different production environments and food sources, as one of the most productive fish in aquaculture, and is well accepted in the market due to its nutritional and organoleptic characteristics. The experiment lasted for nine weeks and included two systems: the red tilapia-water spinach raft aquaponics (AP) system with 10% cover ratio with water spinach floating beds, and the aquatic monoculture (AM) system with only red tilapia. The total phosphorus (TP), total nitrogen (TN), and nitrate nitrogen (NO3-N) in the AM were higher than those in AP from the fifth to ninth week. On the second, third, fifth, and sixth weeks, the ammonia nitrogen (NH4+-N), in the AM was higher than those in the AP. From the seventh week, the pH of the AM was significantly lower than the AP, while the nitrite nitrogen (NO2-N) was significantly higher than the AP. The water quality index of the AP was better than that of the AM, indicating that water spinach can remove the nutrients from aquaculture water bodies. The average daily gain and specific growth rate (SGR) of fish in AP were higher than those in the AM. The acid phosphatase (ACP), alkaline phosphatase (AKP), and catalase (CAT) activities in the hepatopancreas of red tilapia in the AP were also significantly higher than those in the AM, while the malondialdehyde (MDA) in the AP was lower than the AM. The serum ACP and CAT of red tilapia in the AP were also higher than those in the AM, while the MDA of fish in the AP was lower than the AM. The results showed that both the experimental group and the control group were carbon sources and released greenhouse gases into the atmosphere, but the total carbon emissions of the red tilapia and the water spinach symbiotic system in the experimental group was significantly lower than that of the control group (p < 0.05). These results demonstrated that the application of water spinach rafts in aquaponics can not only improve the water quality, but also improve the growth performance, antioxidant system and non-specific immune responses of red tilapia, while promoting the utilization of organic matter in the aquaculture system, improving the ecological benefits in terms of the carbon income and expenditure. Full article
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<p>The aquaponics system used in this study. The pictures were collected on the first day of the experiment. (<b>a</b>) Red tilapia, (<b>b</b>) water spinach, (<b>c</b>) red tilapia aquatic monoculture system, (<b>d</b>) red tilapia-water spinach raft aquaponics system with 10% plant cover.</p>
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<p>The modulation of the water quality, including the temperature, dissolved oxygen, pH, TN, NH<sub>4</sub><sup>+</sup>-N, NO<sub>2</sub><sup>−</sup>-N, NO<sub>3</sub><sup>−</sup>-N, and TP in the AP and AM systems at different sampling weeks. The AP system was covered at a 10% ratio with water spinach floating beds and the AM system included only red tilapia. (<b>a</b>) Temperature, (<b>b</b>) dissolved oxygen, (<b>c</b>) pH, (<b>d</b>) ammonia nitrogen (NH<sub>4</sub><sup>+</sup>-N), (<b>e</b>) nitrite nitrogen (NO<sub>2</sub><sup>−</sup>-N), (<b>f</b>) nitrate nitrogen (NO<sub>3</sub><sup>−</sup>-N), (<b>g</b>) total nitrogen (TN), (<b>h</b>) total phosphorus (TP). (n = 3; * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01). Note: There is no significant difference between the stage data. (<span class="html-italic">p</span> &gt; 0.05). The bars in the graph represent standard deviations.</p>
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<p>The antioxidant and non-specific immune response of red tilapia in AP and AM systems. The hepatopancreas, kidneys, spleen and serum of red tilapia from different systems were collected after nine weeks of aquaculture. (<b>a</b>) Acid phosphatase (ACP), (<b>b</b>) alkaline phosphatase (AKP), (<b>c</b>) catalase (CAT) and (<b>d</b>) malondialdehyde (MDA). (n = 3; * <span class="html-italic">p</span> &lt; 0.05). Note: There is no significant difference between the stage data. (<span class="html-italic">p</span> &gt; 0.05). The bars in the graph represent standard deviations.</p>
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17 pages, 38616 KiB  
Article
An Improved Deep Learning Model for Underwater Species Recognition in Aquaculture
by Mahdi Hamzaoui, Mohamed Ould-Elhassen Aoueileyine, Lamia Romdhani and Ridha Bouallegue
Fishes 2023, 8(10), 514; https://doi.org/10.3390/fishes8100514 - 16 Oct 2023
Cited by 12 | Viewed by 5758
Abstract
The ability to differentiate between various fish species plays an essential role in aquaculture. It helps to protect their populations and monitor their health situations and their nutrient systems. However, old machine learning methods are unable to detect objects in images with complex [...] Read more.
The ability to differentiate between various fish species plays an essential role in aquaculture. It helps to protect their populations and monitor their health situations and their nutrient systems. However, old machine learning methods are unable to detect objects in images with complex backgrounds and especially in low-light conditions. This paper aims to improve the performance of a YOLO v5 model for fish recognition and classification. In the context of transfer learning, our improved model FishDETECT uses the pre-trained FishMask model. Then it is tested in various complex scenes. The experimental results show that FishDETECT is more effective than a simple YOLO v5 model. Using the evaluation metrics Precision, Recall, and mAP50, our new model achieved accuracy rates of 0.962, 0.978, and 0.995, respectively. Full article
(This article belongs to the Special Issue AI and Fisheries)
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<p>Samples of fish images in FishSpecies dataset.</p>
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<p>The workflow of FishDETECT model.</p>
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<p>The fine-tuning process.</p>
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<p>Progress of FishMask model training.</p>
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<p>The YOLO v5 FishDETECT model architecture.</p>
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<p>The mAP50 visualization of the pre-trained models.</p>
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<p>The Precision–Confidence curve.</p>
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<p>The confusion matrix of FishDETECT model.</p>
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<p>The learning evolution of FishDETECT model.</p>
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<p>Scenes captured in good conditions.</p>
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<p>Scene captured in poor conditions.</p>
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<p>Model integration into the Raspberry Pi-4 board.</p>
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<p>Real-time detection visualization.</p>
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13 pages, 2277 KiB  
Article
Complete Mitogenome and Phylogenetic Analysis of a Marine Ray-Finned Fish, Alcichthys elongatus (Perciformes: Cottidae)
by Maheshkumar Prakash Patil, Jong-Oh Kim, Seung Hyun Yoo, Yong Bae Seo, Yu-Jin Lee, Jin-Koo Kim, Shin-Ichi Kitamura and Gun-Do Kim
Fishes 2023, 8(10), 513; https://doi.org/10.3390/fishes8100513 - 16 Oct 2023
Cited by 3 | Viewed by 2021
Abstract
Alcichthys elongatus is the only species in the genus, and this work is the first to provide a comprehensive mitogenome analysis of this species. The A. elongatus mitogenome was 16,712 bp long, with biased A + T content (52.33%), and featured thirteen protein-coding [...] Read more.
Alcichthys elongatus is the only species in the genus, and this work is the first to provide a comprehensive mitogenome analysis of this species. The A. elongatus mitogenome was 16,712 bp long, with biased A + T content (52.33%), and featured thirteen protein-coding genes (PCGs), twenty-two tRNAs, two rRNAs, and the control region (D-loop). The H strand encoded twenty-eight genes (twelve PCGs, fourteen tRNA, and two rRNA) and the control region, whereas the L strand encoded the remaining nine genes (ND6 and eight tRNA). Except for COXI, which started with GTG, all PCG sequences started with ATG and ended with TAA (ND4L, ND5, COXI, ATP8) or TAG (ND1, ND6) termination codons, with some (ND2, ND3, ND4, COXII, COXIII, ATP6, Cytb) having an incomplete termination codon. Except for tRNA-serine-1 (trnS), the majority of the tRNAs exhibited characteristic cloverleaf secondary structures. Based on 13 PCGs, phylogenetic analysis placed A. elongatus in the same clade as Icelus spatula. This genomic data will be useful for species identification, phylogenetic analysis, and population genetics. Full article
(This article belongs to the Section Taxonomy, Evolution, and Biogeography)
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<p><span class="html-italic">Alcichthys elongatus</span> (Photo by Jin-Koo Kim), a marine ray-finned fish captured from the East Sea (coast of Pohang, South Korea). The body has a creamy-brown color with dorsal spines (9–10), dorsal soft rays (14–17), and anal soft rays (13–16).</p>
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<p>The circular mitogenome of <span class="html-italic">A. elongatus</span>. The direction of the arrow denotes the orientation of the genes, and the various colors denote the grouping of functional genes along with their abbreviations.</p>
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<p>Predicted secondary structure for 22 tRNA genes in the mitogenome of <span class="html-italic">A. elongatus</span>. Watson–Crick and GT bonds are illustrated as “-” and “+”, respectively.</p>
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<p>Maximum-likelihood (ML) tree constructed for a total of 29 species belonging to the Family Cottidae, with one representative from each of the Scorpaenidae and Stichaeidae. This phylogeny was constructed using the concatenated nucleotide sequences of 13 PCGs. The numbers on the branches represent ML bootstrap percentages (1000 replicates). For published sequences, NCBI GenBank accession numbers are included following the species name. This study analyzed <span class="html-italic">Alcichthys elongatus</span>.</p>
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13 pages, 886 KiB  
Article
The Effects of Different Carbon Sources on Water Quality, Growth Performance, Hematology, Immune, and Antioxidant Status in Cultured Nile Tilapia with Biofloc Technology
by Khalid Hussain Rind, Syed Sikandar Habib, Javed Ahmed Ujan, Francesco Fazio, Saira Naz, Aima Iram Batool, Mujeeb Ullah, Sobia Attaullah, Khayyam Khayyam and Khalid Khan
Fishes 2023, 8(10), 512; https://doi.org/10.3390/fishes8100512 - 14 Oct 2023
Cited by 13 | Viewed by 3503
Abstract
The biofloc technology system (BFT) is considered to be one of the sustainable aquaculture systems, which is based on the principle of nutrient recycling with the addition of a carbon source to give dominance to heterotrophic microorganisms. The objective of this study was [...] Read more.
The biofloc technology system (BFT) is considered to be one of the sustainable aquaculture systems, which is based on the principle of nutrient recycling with the addition of a carbon source to give dominance to heterotrophic microorganisms. The objective of this study was to evaluate the effect of sugar cane molasses and tapioca flour as carbon sources on the water quality, growth, hematology, immune status, and non-specific antioxidant status of Oreochromis juveniles. Methodologically, the experiment was carried out for 10 weeks on 225 juvenile Nile tilapia with initial body weights of 47.0 ± 1.3 g that were randomly distributed in 09 tanks (1000 L) with a stocking density of 25 tilapias per tank; the treatments were: BFT + SM (S molasses), BFT + TF tapioca flour (TF), and a control with no carbon source added. The control group was fed 100% feed, while the BFT experimental groups were fed microbial flocs along with 75% feed. The results revealed that the water quality parameters were affected by the carbon sources, but were adequate for normal fish welfare, and the biofloc volume was higher (28.94) with the TF carbon source. The growth performance, such as weight gain (98.61), survival (99.01), and improved feed conversion ratio (FCR) (1.69), was recorded in BFT + TF. Significant improvements in WBCs, HCT, HB, lymphocytes, plasma proteins, albumin, and non-specific immune factors (lysozyme activity, immunoglobulins levels, and ACH50) were observed in biofloc-reared fish with tapioca flour as the carbon source compared to the control and sugarcane molasses groups. Moreover, significant increases in catalase (CAT) and superoxide dismutase (SOD) were found in the biofloc-reared fish with different carbon sources. In conclusion, the use of BFT + TF was found to affect improving the water quality, growth, hematology, immunity, and antioxidant status of juvenile Tilapia. Full article
(This article belongs to the Special Issue Integrated Aquaculture and Monoculture of Low-Trophic Species)
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<p>Variation in physicochemical parameters and biofloc volume of tanks water stocked by <span class="html-italic">O. niloticus</span> under biofloc system with different carbon sources for 10 weeks.</p>
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<p>Antioxidant enzymes activities of juvenile <span class="html-italic">O. niloticus</span> (Nile tilapia) cultured in biofloc tanks with different carbon sources for 10 weeks.</p>
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17 pages, 2831 KiB  
Article
Ecological Niche and Interspecific Association of the Main Fishes in the Coastal Waters of Hainan Island, China
by Zhengli Luo, Yanbo Zhou, Ning Liu, Liangming Wang, Yan Liu, Binbin Shan, Manting Liu, Cheng Chen, Changping Yang and Dianrong Sun
Fishes 2023, 8(10), 511; https://doi.org/10.3390/fishes8100511 - 13 Oct 2023
Cited by 3 | Viewed by 1848
Abstract
This study explored the ecological niche and interspecific relationships among the main fish species in the coastal waters of Hainan Island based on data from fishery stock surveys conducted in the spring and autumn of 2022. The methods of chi-square test, percentage of [...] Read more.
This study explored the ecological niche and interspecific relationships among the main fish species in the coastal waters of Hainan Island based on data from fishery stock surveys conducted in the spring and autumn of 2022. The methods of chi-square test, percentage of co-occurrence (PC), association coefficient (AC), cluster analysis, and redundancy analysis were used to analyze the interspecific associations and influence of environmental factors on the ecological niches of fish communities. According to the cluster analysis of niche breadth, 20 main fishes could be divided into broad, medium, and narrow niche species. There were four and eight broad niche species in spring and autumn, respectively. The ranges of niche overlap values were 0.001–0.91 in spring and 0–0.87 in autumn, indicating that the species differed and were similar in their ability to utilize resources, survive in habitats, and prey. According to the variance ratio and statistic value W, the main fishes in spring showed a significant positive association, whereas those in autumn showed a positive association, but not at a significant level, indicating that the main fishes in spring were more closely associated with each other. There were 56 species pairs in the 2 seasons that were significantly associated (χ2 ≥ 3.841). AC and PC tests revealed that the interspecific association was strong and tended to be positive. According to the redundancy analysis, environmental factors such as surface temperature, water depth, and pH significantly affected the main fishes in spring, while environmental factors such as dissolved oxygen, bottom temperature, surface salinity, and pH significantly affected those in autumn. Full article
(This article belongs to the Special Issue Stock Assessment and Management for Sustainable Fisheries)
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<p>Survey stations for fish resources in the inshore waters of Hainan Island.</p>
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<p>Variation in width values of major fish ecological niches in spring (<b>a</b>) and autumn (<b>b</b>). Species number refers to <a href="#fishes-08-00511-t001" class="html-table">Table 1</a>. The same below.</p>
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<p>Cluster analysis of the width of the main fish ecological niches in spring (<b>a</b>) and autumn (<b>b</b>).</p>
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<p>Semi-matrix of χ2 tests for major fishes in the inshore waters of Hainan Island. (<b>a</b>) For spring; (<b>b</b>) for autumn. The same below.</p>
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<p>Semi-matrix of association coefficients (<span class="html-italic">AC</span>) for major fishes in the inshore waters of Hainan Island. (<b>a</b>) For spring; (<b>b</b>) for autumn. The same below.</p>
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<p>Semi-matrix of co-occurrence percentages (<span class="html-italic">PC</span>) of major fishes in the inshore waters of Hainan Island. (<b>a</b>) For spring; (<b>b</b>) for autumn. The same below.</p>
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<p>Redundancy analysis (RDA) of major fish and environmental factors in spring (<b>a</b>) and autumn (<b>b</b>). Bottom-layer salinity (BSS), surface-layer salinity (SSS), bottom-layer temperature (BST), surface-layer temperature (SST), water depth (Depth), pH, dissolved oxygen (DO), and chlorophyll-a concentration (Chl-a).</p>
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14 pages, 694 KiB  
Review
The Riddle of How Fisheries Influence Genetic Diversity
by Daniel E. Sadler, Phillip C. Watts and Silva Uusi-Heikkilä
Fishes 2023, 8(10), 510; https://doi.org/10.3390/fishes8100510 - 13 Oct 2023
Cited by 8 | Viewed by 4713
Abstract
Overfishing drives population decline, which in turn drives loss of genetic diversity. Many studies provide evidence of declines in genetic diversity; however, controversy exists within the literature, as some studies show evidence of no change in genetic diversity despite decades of overharvesting. The [...] Read more.
Overfishing drives population decline, which in turn drives loss of genetic diversity. Many studies provide evidence of declines in genetic diversity; however, controversy exists within the literature, as some studies show evidence of no change in genetic diversity despite decades of overharvesting. The apparent discrepancy in the literature should therefore be examined to understand what biological and ecological processes are driving the differences in results. Here, we assess how different factors contribute to fisheries-induced susceptibility to declines in genetic diversity by first focusing on the different roles of genetic markers. Second, we assess how habitat type and conditions contribute to loss of genetic diversity. Third, we assess how life history and physiology affects catchability and loss of genetic diversity. Finally, we discuss how coinciding abiotic and biotic factors influence the intensity of genetic loss. We find a multitude of these factors could be interacting to influence how results are perceived and how intense the loss of genetic diversity can be. Future studies should carefully consider the methodology of genetic analysis used, as well as considerations of life history and ecology of the target species. Full article
(This article belongs to the Section Biology and Ecology)
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<p>Change in heterozygosity associated with harvesting (<b>a</b>) fish inhabiting marine and freshwater (FW) habitats, (<b>b</b>) organized by orders, and life history traits, such as (<b>c</b>) parity and (<b>d</b>) migration strategy (see <a href="#app1-fishes-08-00510" class="html-app">Table S1</a> for data sources). A negative value indicates loss of heterozygosity after a harvesting event. Dashed line indicates no change in heterozygosity. In panels (<b>a</b>,<b>c</b>), shaded areas represent the distribution of the data as density, and in panels (<b>b</b>,<b>d</b>), data are represented as means and standard errors.</p>
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15 pages, 8166 KiB  
Article
Growth Performance and Histomorphology of Intestine, Skin, Gills and Liver of Juvenile Colossoma macropomum Fed Diets Containing Different Levels of the Essential Oil of Nectandra grandiflora
by Fabio A. C. Santos, Felipe S. Batista, André S. Souza, Gustavo S. C. Julio, Gisele C. Favero, José F. V. Junior, Sílvio T. Costa, Carla C. Zeppenfeld, Nadia H. Bianchini, Berta M. Heinzmann, Bernardo Baldisserotto and Ronald K. Luz
Fishes 2023, 8(10), 509; https://doi.org/10.3390/fishes8100509 - 11 Oct 2023
Cited by 2 | Viewed by 1954
Abstract
The present study evaluated different levels of the essential oil of Nectandra grandiflora (EONG) in the diet of juvenile Colossoma macropomum. The juveniles (0.75 ± 0.05 g) were fed four experimental diets with differing levels of EONG (0, 0.5, 0.75, and 1.50 [...] Read more.
The present study evaluated different levels of the essential oil of Nectandra grandiflora (EONG) in the diet of juvenile Colossoma macropomum. The juveniles (0.75 ± 0.05 g) were fed four experimental diets with differing levels of EONG (0, 0.5, 0.75, and 1.50 mL/kg). After 20 days, the weight, daily weight gain, specific growth rate, and daily feed consumption per fish were highest for the fish fed 0.5 mL EONG/kg, while after 30 days, only the weight and daily feed consumption per fish for that diet remained highest. The viscerosomatic index was highest for the fish fed 0.5 mL EONG/kg while the hepatosomatic index was higher for the groups that received dietary EONG for 30 days. The juveniles fed 1.5 mL EONG/kg showed a proliferative response of the mucous cells in the gills, but the proliferation of these lysozyme- and immunoglobulin-secreting mucosal cells was higher for the skin of the fish of all EONG levels, compared to that of the control fish. The fish fed 0.5 mL EONG/kg had the greatest height and width of intestinal villi. The two highest levels of dietary EONG supplementation (0.75 and 1.50 mL/kg) reduced the hepatocyte dimensions but did not modify the centrolobular vein area. Dietary supplementation with 0.5 mL EONG/kg improved the growth, gut health, and immune response of juvenile C. macropomum. Full article
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<p>(<b>A</b>)—Viscerosomatic index (VSI), (<b>B</b>)—hepatosomatic index (HSI) and (<b>C</b>)—intestinal coefficient (IC) for <span class="html-italic">Colossoma macropomum</span> juveniles fed for 30 days with different dietary levels of the EO of <span class="html-italic">Nectandra grandiflora</span> (EONG) in a recirculating aquaculture system (RAS). Different letters in rows indicate significant differences between treatments by one-way ANOVA and Tukey’s test (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Histological sections of the liver of <span class="html-italic">Colossoma macropomum</span> juveniles fed for 30 days with different dietary levels of the EO of <span class="html-italic">Nectandra grandiflora</span> (EONG) in a recirculating aquaculture system (RAS). (<b>A</b>)—0 mL/kg, (<b>B</b>)—0.5 mL/kg, (<b>C</b>)—0.75 mL/kg, (<b>D</b>)—1.5 mL/kg.</p>
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<p>Histological sections of the intestine of <span class="html-italic">Colossoma macropomum</span> juveniles fed for 30 days with different dietary levels of the EO of <span class="html-italic">Nectandra grandiflora</span> (EONG) in a recirculating aquaculture system (RAS). (<b>A</b>)—0 mL/kg, (<b>B</b>)—0.5 mL/kg, (<b>C</b>)—0.75 mL/kg, (<b>D</b>)—1.5 mL/kg.</p>
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<p>Histological sections of the skin of <span class="html-italic">Colossoma macropomum</span> juveniles fed for 30 days with different dietary levels of the EO of <span class="html-italic">Nectandra grandiflora</span> (EONG) in a recirculating aquaculture system (RAS). (<b>A</b>)—0 mL/kg, (<b>B</b>)—0.5 mL/kg, (<b>C</b>)—0.75 mL/kg, (<b>D</b>)—1.5 mL/kg.</p>
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<p>(<b>A</b>)—Number of mucous cells in gills and (<b>B</b>)—in skin of <span class="html-italic">Colossoma macropomum</span> juveniles fed for 30 days with different dietary levels of the EO of <span class="html-italic">Nectandra grandiflora</span> (EONG) in a recirculating aquaculture system (RAS). Different letters in rows indicate significant differences between treatments by one-way ANOVA and Tukey’s test (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>(<b>A</b>)—Length of intestinal villi, (<b>B</b>)—width of intestinal villi, (<b>C</b>)—hepatocyte area and (<b>D</b>)–centrolobular vein area of <span class="html-italic">Colossoma macropomum</span> juveniles fed for 30 days with different dietary levels of the EO of <span class="html-italic">Nectandra grandiflora</span> (EONG) in a recirculating aquaculture system (RAS). Different letters in rows indicate significant differences between treatments by one-way ANOVA and Tukey’s test (<span class="html-italic">p</span> &lt; 0.05).</p>
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16 pages, 2946 KiB  
Article
Rockfish Species Trends in Puget Sound, Washington, USA, 2009–2023
by Katharine N. Shelledy, Amy Y. Olsen, Alexander Tanz, Megan H. Williams, Jeff Christiansen, Heidi Wilken, Chris Van Damme and Shawn Larson
Fishes 2023, 8(10), 508; https://doi.org/10.3390/fishes8100508 - 11 Oct 2023
Viewed by 2267
Abstract
Rockfishes (Sebastes spp.) are a long-lived, understudied, multi-species fish assemblage in inland Washington (USA) waters. Driven by large-scale fishery removals in the 1970s, their numbers declined and have yet to recover, perhaps due to slow maturation and rare recruitment success. Since then, [...] Read more.
Rockfishes (Sebastes spp.) are a long-lived, understudied, multi-species fish assemblage in inland Washington (USA) waters. Driven by large-scale fishery removals in the 1970s, their numbers declined and have yet to recover, perhaps due to slow maturation and rare recruitment success. Since then, rockfish fishing restrictions have increased within Puget Sound, culminating in a 2010 total ban. Here, we analyze rockfish community trends (abundance and Shannon Diversity) within Puget Sound from 2009 to 2023. Our dataset includes 157 recorded dive transects from nine rocky or artificial reef habitats at depths 5–24 m throughout four Puget Sound basins: Admiralty Inlet (2 sites), Central Puget Sound (4 sites), Hood Canal (2 sites), and South Puget Sound (1 site). Significant differences in community species composition between basins were observed; we noted more Black (S. melanops), Yellowtail (S. flavidus), and Puget Sound (S. emphaeus) rockfish and fewer Brown rockfish (S. auriculatus) at sites in Admiralty Inlet vs. Central Puget Sound. Adult rockfish counts and Shannon Diversity varied seasonally, with higher rockfish counts and diversity indices in summer/autumn vs. winter/spring. Notably, we observed that total adult rockfish count per survey tended downward over time, driven partly by significant downward trends in Hood Canal Copper rockfish (S. caurinus) counts. We recommend continued monitoring and additional investigation into what factors besides fishing may be driving the trends reported here. Full article
(This article belongs to the Special Issue Temperate Reef Fish Ecology)
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<p>Location of the 9 survey sites color-coded by the basin each site resides in. Digital Elevation Model Global Mosaic layer overlayed to display the bathymetry of the Puget Sound [<a href="#B20-fishes-08-00508" class="html-bibr">20</a>].</p>
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<p>Scatterplot of adult rockfish count by species over time (2009–2023) at each site, with log-transformed <span class="html-italic">y</span>-axis for improved visualization of low count values. Point shape corresponds with basin and color with species, according to the legend provided. Only the five most frequently observed species are included in this figure.</p>
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<p>Scatterplot with line of best fit for adult rockfish counts, with log-transformed y-axes for improved visualization of low count values. (<b>A</b>) Total adult rockfish counts from all surveys; (<b>B</b>) Total adult rockfish counts from all surveys by basin, with Kendall’s rank correlation results shown for each basin. Shape and color correspond to the basin as follows: Hood Canal—black closed circles; South Puget Sound—dark grey open inverted triangles; Admiralty Inlet—grey open squares; Central Puget Sound—light grey closed triangles; (<b>C</b>) Hood Canal sites only: Adult rockfish counts for each species at each survey; Kendall’s rank correlation test shown for Copper rockfish. In this panel, each data point corresponds to a count for a single rockfish species at a given site and date.</p>
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<p>Community structure by location. Grayscale color and shapes correspond with basin for Hood Canal (filled circles), South Puget Sound (inverted open triangles), Central Puget Sound (filled triangles), and Admiralty Inlet (open squares), in order from darkest to lightest shade. (<b>A</b>) Dotplot of species observed by location grouping, with log-transformed x-axes for improved visualization of low count values; (<b>B</b>) Two-dimensional nMDS ordination for community structure by location group, with probability of F-statistic for PERMANOVA analysis comparing Central Puget Sound and Admiralty Inlet.</p>
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<p>Boxplots for (<b>A</b>) Shannon Diversity Index by season, with post-hoc pairwise adjusted <span class="html-italic">p</span>-values displayed where significant, and (<b>B</b>) Adult Rockfish count by season, with post-hoc pairwise adjusted <span class="html-italic">p</span>-values displayed where significant. For both (<b>A</b>,<b>B</b>), significance thresholds are as follows: <span class="html-italic">p</span> &lt; 0.1 *, <span class="html-italic">p</span> &lt; 0.05 **, and <span class="html-italic">p</span> &lt; 0.01 ***. Sample sizes are as follows: Autumn (<span class="html-italic">n</span> = 51), Spring (<span class="html-italic">n</span> = 43), Summer (<span class="html-italic">n</span> = 26), and Winter (<span class="html-italic">n</span> = 37). Y-axes are log-transformed for improved visualization.</p>
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<p>Sampling effort by site and season. Points indicate that a site was sampled for a given year in a given season.</p>
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<p>Boxplots of adult rockfish count per survey, grouped by year and basin. Y-axes are log-transformed for better visualization of low values.</p>
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<p>Boxplot of environmental parameters by basin, displaying signifance thresholds from pairwise Kruskal-Wallace tests. Significance thresholds are as follows: <span class="html-italic">p</span> &lt; 0.05 *, <span class="html-italic">p</span> &lt; 0.01 **, <span class="html-italic">p</span> &lt; 0.001 *** and <span class="html-italic">p</span> &lt; 0.0001 ****. Environmental parameters included are dissolved oxygen (DO) in mg/L (<span class="html-italic">n</span> = 1202), pH (<span class="html-italic">n</span> = 728), and temperature (Temp) in degrees Celsius (<span class="html-italic">n</span> = 1212). Note that low <span class="html-italic">p</span>-values are likely associated with high sample sizes, so only visually obvious patterns are noted in the text.</p>
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<p>Scatterplot of adult rockfish counts and abundance estimates per year (discrete), combining REEF citizen science surveys [<a href="#B46-fishes-08-00508" class="html-bibr">46</a>] with our data, with log-transformed <span class="html-italic">y</span>-axis for improved visualization of low values. No significant correlation.</p>
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<p>Scatterplot of adult rockfish counts and abundance estimates per year (discrete) for South Puget Sound and Hood Canal Basins, combining REEF citizen science surveys [<a href="#B46-fishes-08-00508" class="html-bibr">46</a>] with our data. <span class="html-italic">y</span>-axis is log-transformed for better visualization of low values. In Hood Canal, adult rockfish count correlates significantly negatively with year (<span class="html-italic">p</span> &lt; 0.001, tau = −0.307), and in South Puget Sound, adult rockfish count correlates significantly positively with year (<span class="html-italic">p</span> &lt; 0.05, tau = 0.316).</p>
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17 pages, 4029 KiB  
Article
How the luxR Gene Affects the Pathogenicity of Pseudomonas plecoglossicida and the Immune Response of Epinephelus coioides
by Lingmin Zhao, Lixing Huang, Yingxue Qin, Dou Yang, Jiaonan Zhang, Jiaolin Zhang and Qingpi Yan
Fishes 2023, 8(10), 507; https://doi.org/10.3390/fishes8100507 - 11 Oct 2023
Viewed by 1685
Abstract
This study aimed to investigate the effect of reduced expression of the luxR gene on the virulence of Pseudomonas plecoglossicida and the immune response of Epinephelus coioides. To achieve this, RNA interference (RNAi) was used to silence the luxR gene, and the [...] Read more.
This study aimed to investigate the effect of reduced expression of the luxR gene on the virulence of Pseudomonas plecoglossicida and the immune response of Epinephelus coioides. To achieve this, RNA interference (RNAi) was used to silence the luxR gene, and the pathogenicity of wild-type and luxR-RNAi strains of P. plecoglossicida, as well as the immune response of Epinephelus coioides to the infection of these two strains, were compared. The mutant strain with the highest silencing efficiency of 70.1% was selected for subsequent analysis. Silencing the luxR gene in the mutant strain resulted in a significant 30% reduction in mortality rates in artificially infected Epinephelus coioides compared to the wild-type strain. Transcriptome analysis revealed that the host transcriptome, particularly in the spleens of infected Epinephelus coioides, was markedly altered by the silencing of the luxR gene in the mutant strain. Tilapia infected with the luxR-RNAi strain exhibited altered immune defenses, with changes in gene expression primarily in the NOD-like receptor (NLR) signaling pathway. These results suggest that the luxR gene plays a crucial role in the host’s resistance to pathogen invasion, and reducing its expression could decrease quorum sensing (QS) signals while increasing the expression of the IL-1β gene in the host’s NLR pathway. This effect may lead to a pro-inflammatory response that enhances the immune response to infection. Further investigation of these mechanisms may lead to innovative approaches to treating bacterial infections. Full article
(This article belongs to the Special Issue Disease Control in Fish and Shrimp Aquaculture)
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<p>Assessment of <span class="html-italic">luxR</span> mRNA levels in four <span class="html-italic">luxR</span>-RNAi silenced strains.</p>
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<p>Results of virulence infection in NZBD9 and <span class="html-italic">luxR</span>-RNAi strains of <span class="html-italic">P. plecoglossicida</span> in <span class="html-italic">E. coioides</span> (<b>A</b>) Assessment of <span class="html-italic">E. coioides</span> survival rate in various infections. (<b>B</b>) Macroscopic signs of <span class="html-italic">P. plecoglossicida</span> infection in <span class="html-italic">E. coioides</span> spleens.</p>
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<p>Comparative differential gene expression analysis of NZBD9 and <span class="html-italic">luxR</span>-RNAi strains in infected <span class="html-italic">Epinephelus coioides.</span> (<b>A</b>) Analysis of differentially expressed genes in spotted groupers infected with <span class="html-italic">luxR</span>-RNAi and NZBD9 strains on the third and fifth days. (<b>B</b>) Volcano plot analysis of differentially expressed genes between NZBD9 and <span class="html-italic">luxR</span>-RNAi strains in groupers infected at dpi3. (<b>C</b>) Volcano plot analysis of differentially expressed genes between NZBD9 and <span class="html-italic">luxR</span>-RNAi strains in groupers infected on day five.</p>
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<p>Comparative differential gene expression analysis of NZBD9 and <span class="html-italic">luxR</span>-RNAi strains in infected <span class="html-italic">Epinephelus coioides.</span> (<b>A</b>) Analysis of differentially expressed genes in spotted groupers infected with <span class="html-italic">luxR</span>-RNAi and NZBD9 strains on the third and fifth days. (<b>B</b>) Volcano plot analysis of differentially expressed genes between NZBD9 and <span class="html-italic">luxR</span>-RNAi strains in groupers infected at dpi3. (<b>C</b>) Volcano plot analysis of differentially expressed genes between NZBD9 and <span class="html-italic">luxR</span>-RNAi strains in groupers infected on day five.</p>
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<p>Venn diagram analysis of differentially expressed genes in NZBD9 and <span class="html-italic">luxR</span>-RNAi strains and PBS control groups on days 3 and 5 of infection in <span class="html-italic">E. coioides</span>.</p>
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<p>Analyzing the functional enrichment of genes that exhibit differential expression.</p>
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<p>A graphical representation of a directed acyclic graph with a defined starting point and no cycles. The red box indicates the discovery of a significantly enriched gene ontology (GO) term within the gene set. The connections between GO terms elucidate the inherent relationships between them. Notably, the ‘is_a’ relationship denotes that the GO term located below the connecting line represents a subcategory of the GO term indicated by the arrow.</p>
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<p>An analysis of KEGG pathway enrichment was conducted on the DEGs.</p>
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<p>NOD-like receptor (NLR) signaling pathway.</p>
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17 pages, 2560 KiB  
Article
Phenethylamine Is a Potential Density Stress Pheromone in Turbot (Scophthalmus maximus)
by Jiyuan Li, Yanfeng Wang, Teng Guo, Shihong Xu, Guang Gao, Feng Liu, Xiaoyang Guo, Yanduo Wu, Haixia Zhao and Jun Li
Fishes 2023, 8(10), 506; https://doi.org/10.3390/fishes8100506 - 11 Oct 2023
Cited by 1 | Viewed by 2115
Abstract
Pheromones play a vital role in regulating fish behavior, including reproduction, aggregation, hazard recognition and food location. To gain a better understanding of chemical communication in fish produced by density changes, this study analyzed the metabolites released by turbot (Scophthalmus maximus) [...] Read more.
Pheromones play a vital role in regulating fish behavior, including reproduction, aggregation, hazard recognition and food location. To gain a better understanding of chemical communication in fish produced by density changes, this study analyzed the metabolites released by turbot (Scophthalmus maximus) under different stocking densities. The experiment was conducted at low (LD: 3.01 kg/m2), medium (MD: 6.62 kg/m2) and high (HD: 10.84 kg/m2) densities for 15 days. High-throughput non-targeted metabolomics (LC-MS/MS) was used to identify variations in metabolites released into the aquatic environment by turbot at different densities. Results showed that 29 and 47 metabolites were significantly upregulated in the MD and HD groups, respectively, compared with the LD group. Among them, hexadecanedioic acid, xanthine, phenethylamine, proline and styrene were significantly upregulated in the MD vs. LD, HD vs. MD and HD vs. LD. The VIP diagram of OPLS-DA alignment showed that phenethylamine was the most important metabolite shared by MD vs. LD, HD vs. MD and HD vs. LD. Key gene changes in the GH/IGF-1 signaling pathway, HPI axis of turbot were studied using qRT-PCR for density treatment. The results demonstrated that the expression of GH, GHR and IGF-1 was significantly lower, while the expression of CRH and ACTH was higher in the HD group. Additionally, plasma levels of cortisol, glucose, triglycerides and T3 were also highest in the HD group compared with the LD and MD groups. Phenylethylamine concentration was positively correlated with the HPI axis and negatively correlated with the GH/IGF-1 signaling pathway. To investigate the impact of phenethylamine accumulation on turbot, an acute treatment experiment with phenethylamine was set up. Its concentration in the aquatic environment was set at 0 (CON), 10−7 (LP) and 10−5 (HP) mol/L via exogenous addition, and turbot were exposed to these environments for 2 days. There was a high degree of concordance between the GH/IGF-1 signaling pathway (GH, GHR, IGF-1), HPI axis (CRH, ACTH) and plasma physiological changes (cortisol, glucose, triglycerides, T3) in the phenethylamine-treated group and the density-treated group. Therefore, accumulation of phenethylamine with increasing stocking density may be a potential cause of density stress. Phenylethylamine has a dose-dependent and trace effect as a pheromone. Full article
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Graphical abstract

Graphical abstract
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<p>PCA for the metabolite profiles of samples from aquatic environments at different stocking densities. (<b>A</b>) LD vs. MD in positive ion mode; (<b>B</b>) LD vs. HD in positive ion mode; (<b>C</b>) MD vs. HD in positive ion mode; (<b>D</b>) LD vs. MD in negative ion mode; (<b>E</b>) LD vs. HD in negative ion mode; (<b>F</b>) MD vs. HD in negative ion mode.</p>
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<p>Identification of significantly differentially abundant metabolites in LD vs. MD, LD vs. HD and MD vs. HD for positive ion mode (<b>A</b>) and negative ion mode (<b>B</b>).</p>
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<p>VIP score plot. Variable importance in projection (VIP) scores for the top 18 metabolites. VIP scores are derived from a partial least squares discriminant analysis (PLS-DA) model and colored boxed on the right indicate the relative abundance of the corresponding metabolite in each group. (<b>A</b>) LD vs. MD; (<b>B</b>) LD vs. HD; (<b>C</b>) MD vs. HD.</p>
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<p>Effects of different stocking densities (LD, MD and HD) and different phenethylamine concentrations (CON, LP and HP) on expression of key genes in GH/IGF-1 signaling pathway in turbot. (<b>A</b>) GH relative expression at different phenethylamine concentrations. (<b>B</b>) GH relative expression at different stocking densities. (<b>C</b>) GHR relative expression at different phenethylamine concentrations. (<b>D</b>) GHR relative expression at different stocking densities. (<b>E</b>) IGF-1 relative expression at different phenethylamine concentrations. (<b>F</b>) IGF-1 relative expression at different stocking densities. The vertical bars represent mean ± S.E. Different lowercase letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of different stocking densities (LD, MD and HD) and different phenethylamine concentrations (CON, LP and HP) on expression of key genes of HPI axis in turbot. (<b>A</b>) CRH relative expression at different phenethylamine concentrations. (<b>B</b>) CRH relative expression at different stocking densities. (<b>C</b>) ACTH relative expression at different phenethylamine concentrations. (<b>D</b>) ACTH relative expression at different stocking densities. The vertical bars represent the mean ± S.E. Different lowercase letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of different stocking densities (LD, MD and HD) and different phenethylamine concentrations (CON, LP and HP) on physiological parameters of turbot plasma. (<b>A</b>) Plasma content of glucose at different phenethylamine concentrations. (<b>B</b>) Plasma content of glucose at different stocking densities. (<b>C</b>) Plasma content of triglyceride at different phenethylamine concentrations. (<b>D</b>) Plasma content of triglyceride at different stocking densities. (<b>E</b>) Plasma content of T<sub>3</sub> at different phenethylamine concentrations. (<b>F</b>) Plasma content of T<sub>3</sub> at different stocking densities. (<b>G</b>) Plasma content of cortisol at different phenethylamine concentrations. (<b>H</b>) Plasma content of cortisol at different stocking densities. The vertical bars represent the mean ± S.E. Different lowercase letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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14 pages, 861 KiB  
Article
Optimizing XGBoost Performance for Fish Weight Prediction through Parameter Pre-Selection
by Mahdi Hamzaoui, Mohamed Ould-Elhassen Aoueileyine, Lamia Romdhani and Ridha Bouallegue
Fishes 2023, 8(10), 505; https://doi.org/10.3390/fishes8100505 - 10 Oct 2023
Cited by 4 | Viewed by 2428
Abstract
Fish play a major role in the human nutritional system, and farmers need to know the accurate prediction of fish weight in order to optimize the production process and reduce costs. However, existing prediction methods are not efficient. The formulas for calculating fish [...] Read more.
Fish play a major role in the human nutritional system, and farmers need to know the accurate prediction of fish weight in order to optimize the production process and reduce costs. However, existing prediction methods are not efficient. The formulas for calculating fish weight are generally designed for a single species of fish or for species of a similar shape. In this paper, a new hybrid method called SFI-XGBoost is proposed. It combines the VIF (variance inflation factor), PCC (Pearson’s correlation coefficient), and XGBoost methods, and it covers different fish species. By applying GridSearchCV validation, normalization, augmentation, and encoding techniques, the obtained results show that SFI-XGBoost is more efficient than simple XGBoost. The model generated by our approach is more generalized, achieving accurate results with a wide variety of species. Using the r2_score evaluation metric, SFI-XGBoost achieves an accuracy rate of 99.94%. Full article
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<p>SFI-XGBoost flowchart.</p>
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<p>The accuracy visualization of the XGBoost and LR algorithms.</p>
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<p>Pearson’s correlation coefficient analysis.</p>
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<p>The SFI-XGBoost approach.</p>
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<p>The feature multicollinearities.</p>
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<p>The XGBoost and SFI-XGBoost performance visualizations.</p>
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13 pages, 3216 KiB  
Article
Discrimination of Schizothorax grahami (Regan, 1904) Stocks Based on Otolith Morphology
by Yang Zhou, Li Xu, Zhongtang He, Weijie Cui, Qun Lu, Jianguang Qin, Shengqi Su and Tao He
Fishes 2023, 8(10), 504; https://doi.org/10.3390/fishes8100504 - 10 Oct 2023
Cited by 2 | Viewed by 1605
Abstract
Otoliths grow throughout a fish’s life and are important for identifying fish stocks and fish age. This study aims to differentiate different stocks of Schizothorax grahami (Regan, 1904) in the Chishui River, an upper reach of the Yangtze River, by otolith morphology. The [...] Read more.
Otoliths grow throughout a fish’s life and are important for identifying fish stocks and fish age. This study aims to differentiate different stocks of Schizothorax grahami (Regan, 1904) in the Chishui River, an upper reach of the Yangtze River, by otolith morphology. The otolith morphology of S. grahami from three different river sections was analyzed using the Shape Index, Fourier coefficients, and wavelet coefficients. The composite discrimination success rate of the Shape Index was 59.7%, and it was difficult to distinguish in the scatter plots. In contrast, canonical principal coordinate scatter plots clearly showed three distinguished stocks. The above results indicate that otolith morphology can discriminate between stocks in plateau endemic fish, and several S. grahami stocks may be separately managed in the Chishui River. Full article
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Figure 1
<p><span class="html-italic">S. grahami</span> sampling locations (black dots, a–j) in Chishui River. The blue arrow represents the water flow direction.</p>
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<p>Three-dimensional structure of the left otoliths. Red outlines indicate the two-dimensional contour of otoliths.</p>
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<p>Measurement illustration of otolith in <span class="html-italic">S. grahami</span>.</p>
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<p>Scatter plot of principal components analysis of otolith Shape Index for <span class="html-italic">S. grahami</span> with different river sections.</p>
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<p>Scatter plot of scores based on the first two canonical discriminant functions with different river sections. (The black “A” is “A1”, and “A1” is Group I. The red “A” is “A2”, and “A2” is Group II. The green “A” is “A3”, and “A3” is Group III. The same as below).</p>
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<p>(<b>a</b>) Black, red, and green contours indicate mean otolith shapes based on wavelet reconstruction for <span class="html-italic">S. grahami</span>. (A1 = Group I, A2 = Group II, A3 = Group III) (<b>b</b>) Mean and standard deviation (sd) of wavelet coefficients for all combined otoliths and the ratio of between-group variance or intraclass correlation (ICC, black solid line). The horizontal axis represents the angle (°) based on polar coordinates (<a href="#fishes-08-00504-f006" class="html-fig">Figure 6</a>a), where the center of mass of the otoliths is the center point of the polar coordinates.</p>
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<p>Otolith shape of samples from different river sections using canonical analysis of principal coordinates with the wavelet coefficients (<b>a</b>) and the Fourier coefficients (<b>b</b>). (A1 = Group I, A2 = Group II, A3 = Group III).</p>
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10 pages, 529 KiB  
Article
Taxonomic Diversity of Fish Species in the Lower Reaches of the Yellow River
by Lufeng Sun, Xiuqi Li, Guancang Dong and Xuri Cong
Fishes 2023, 8(10), 503; https://doi.org/10.3390/fishes8100503 - 9 Oct 2023
Viewed by 1687
Abstract
In order to study the community of fishery resources, five sampling sections were set up in the lower Yellow River from 2019 to 2022 to investigate the diversity of fishery resources. A total of 54 fish species were identified in the survey, belonging [...] Read more.
In order to study the community of fishery resources, five sampling sections were set up in the lower Yellow River from 2019 to 2022 to investigate the diversity of fishery resources. A total of 54 fish species were identified in the survey, belonging to 9 orders, 19 families, and 48 genera. The number of species reached its highest level since the Integrated Water Regulation of the Lower Yellow River in 1999. The original rare and endangered fish species in the lower reaches of the Yellow River, such as Coilia nasus, Rhinogobio nasutus, and Pseudobagrus ussuriensis, have reappeared in the lower reaches. The population and abundance of main economic fish and common small-sized fish in the lower reaches of the Yellow River have increased. These signs all indicate that, and the fishery resources are recovering slowly in the lower Yellow River. By comparing the fish resources of various investigation sections, it was found that there are differences in fish diversity: the closer to the estuarine waters, the higher the variety of fish in the Yellow River at the upper level of the taxonomic category. However, that section of the lower Yellow River where species evenness, species diversity, and community structure of fishery resources were most stable was the confluence of Dongping Lake into the Yellow River, which has the most significant number of fish species, the smallest Λ+ value, and the most extensive G-F index. The above results indicate that Dongping Lake, as the only lake connected to the lower reaches of the Yellow River, plays an essential role in replenishing fish resources in the lower reaches of the Yellow River. Full article
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<p>Survey section of the lower reaches of the Yellow River.</p>
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20 pages, 16539 KiB  
Article
Behavior Recognition of Squid Jigger Based on Deep Learning
by Yifan Song, Shengmao Zhang, Fenghua Tang, Yongchuang Shi, Yumei Wu, Jianwen He, Yunyun Chen and Lin Li
Fishes 2023, 8(10), 502; https://doi.org/10.3390/fishes8100502 - 8 Oct 2023
Cited by 1 | Viewed by 1867
Abstract
In recent years, with the development of pelagic fishing, the working environment and monitoring of crew (squid jigger) members have become increasingly important. However, traditional methods of pelagic human observers suffer from high costs, low coverage, poor timeliness, and susceptibility to subjective factors. [...] Read more.
In recent years, with the development of pelagic fishing, the working environment and monitoring of crew (squid jigger) members have become increasingly important. However, traditional methods of pelagic human observers suffer from high costs, low coverage, poor timeliness, and susceptibility to subjective factors. In contrast, the Electronic Monitoring System (EMS) has advantages such as continuous operation under various weather conditions; more objective, transparent, and efficient data; and less interference with fishing operations. This paper shows how the 3DCNN model, LSTM+ResNet model, and TimeSformer model are applied to video-classification tasks, and for the first time, they are applied to an EMS. In addition, this paper tests and compares the application effects of the three models on video classification, and discusses the advantages and challenges of using them for video recognition. Through experiments, we obtained the accuracy and relevant indicators of video recognition using different models. The research results show that when NUM_FRAMES is set to 8, the LSTM+ResNet-50 model has the best performance, with an accuracy of 88.47%, an F1 score of 0.8881, and an map score of 0.8133. Analyzing the EMS for pelagic fishing can improve China’s performance level and management efficiency in pelagic fishing, and promote the development of the fishery knowledge service system and smart fishery engineering. Full article
(This article belongs to the Special Issue AI and Fisheries)
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<p>Sample example.</p>
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<p>Diagram of 3DCNN architecture.</p>
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<p>LSTM-ResNet Network Architecture Diagram.</p>
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<p>Transformer layer architecture diagram.</p>
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<p>TimeSformer block structure with temporal and spatial attention added.</p>
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<p>Training loss curve graph of (<b>a</b>) the 3DCNN model, (<b>b</b>) the LSTM-ResNet model, and (<b>c</b>) the TimeSformer-L model.</p>
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<p>Sample example of the validation set.</p>
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