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Article

Spatial Dynamics of Demersal Fish Assemblages off the Korean Coast in the East Sea

by
Joo Myun Park
1,*,
Chung Il Lee
2,
Jong Won Park
2,
Hae Kun Jung
3 and
In Seong Han
4
1
Dokdo Research Center, East Sea Research Institute, Korea Institute of Ocean Science & Technology, Uljin 36315, Republic of Korea
2
Department of Marine Bioscience, Gangneung-Wonju National University, Gangneung 25457, Republic of Korea
3
Fisheries Resources and Environment Research Division, East Sea Fisheries Research Institute, National Institute of Fisheries Science, Gangneung 25435, Republic of Korea
4
Oceanic Climate & Ecology Research Division, National Institute of Fisheries Science, Busan 46083, Republic of Korea
*
Author to whom correspondence should be addressed.
Animals 2024, 14(11), 1612; https://doi.org/10.3390/ani14111612
Submission received: 13 April 2024 / Revised: 16 May 2024 / Accepted: 24 May 2024 / Published: 29 May 2024
(This article belongs to the Special Issue Natural and Anthropogenic Factors That Affect Marine Fisheries Resources)
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Abstract

:

Simple Summary

This study investigated how different fish species are distributed in the sea based on where they are relative to the oceanic current region and how deep the water is. Researchers collected fish samples over four seasons from May 2018 to March 2019 along the coasts of the East Sea in Korea. They used special commercial gill nets to catch the fish at different depths, ranging from shallow to deeper waters. Overall, they found 73 different fish species and collected over 6000 specimens. Depending on the oceanic current region, they found different fish species in each study site. For example, in one area called Ayajin, they mostly found fish like blackfin flounder (Glyptocephalus stelleri), Pacific cod (Gadus macrocephalus) and mailclad sculpin (Icelus cataphractus). In another area called Hupo, different fish species were more common, such as blackfin flounder, Sohachi flounder (Cleisthenes pinetorum), and flathead flounder (Hippoglossoides dubius). The researchers also noticed that the types of fish varied depending on how deep the water was. This study helps us understand how fish populations change in different parts of the sea based on the oceanic current region and at different depths.

Abstract

This study assessed variations in demersal fish assemblages with respect to the study site and water depth. Seasonal samplings from May 2018 to March 2019 were conducted along the northern (Ayajin, Goseong) and southern (Hupo, Uljin) sites of the East Sea off the Korean coast, using commercial gill nets. Samples were collected at depths of ~50, ~80, ~150 m across the study sites, with concurrent monitoring of water column structures. A total of 73 species and 6250 specimens were collected. Distinctive fish species compositions were observed according to the study site and depth. Although Glyptocephalus stelleri was the most abundant fish species in both Ayajin and Hupo, Gadus macrocephalus, Icelus cataphractus, and Alcichthys elongatus were most predominant in Ayajin, whereas Cleisthenes pinetorum, Hippoglossoides dubius, and Gymnocanthus herzensteini were more prevalent in Hupo. In terms of depth layer, in Ayajin, G. stelleri dominated in both intermediate and deeper layers, with Hemilepidotus gilberti, A. elongatus, Enophrys diceraus common in shallower depths. Conversely, in Hupo, G. stelleri, C. pinetorum, and A. nadeshnyi dominated across all depth layers, whereas Dasycottus setiger and G. herzensteini dominated in deeper and shallower depths, respectively. Significant influences of the study site and water depth on fish assemblage structures were observed due to variations in water temperature at the seasonal thermocline boundary.

1. Introduction

Understanding the spatial and temporal variations in fish assemblages is important for the effective conservation and management of fisheries resources [1,2]. This knowledge provides a foundation for adopting an ecosystem-based approach to evaluate and manage fisheries resources and biodiversity conservation using spatial management units [3]. In the coastal habitats of temperate seas, the spatial distribution of fish assemblages is largely influenced by oceanic current and/or depth in relation to water temperature and geographical features [4,5,6]. These variations are particularly influenced by factors such as the sediment composition of habitats, physical water column structures, and prey distribution [7,8]. Temporal variations in fish assemblages are associated with changes in environmental variables, such as water temperature, salinity, variability in the use of the local habitat, and migration of fish species [9,10,11].
Marine environments, such as water temperature and salinity in the East Sea off the Korean coast, exhibit high variability depending on the latitudinal path of oceanic currents [12]. Notably, latitudinal patterns of water temperature are evident in the surface layers influenced by two major oceanic currents: the East Korea Warm Current (EKWC) flowing into the East Sea via the Korean Strait, and the North Korea Cold Current (NKCC) branched from the Liman Cold Current (LCC) flowing southward along the eastern coast of the Korean Peninsula from the north [12,13,14]. These interactions divide marine ecosystems in the southwestern part of the East Sea into cooler northern and warmer southern sections [15]. The fish fauna in these regions also demonstrate distinct latitudinal patterns [16]. For example, demersal fish assemblages at the northern limit of South Korea are dominated by boreal fish species, including Pacific cod (Gadus macrocephalus) and cold-water flounders, whereas abundant demersal fish from the southeastern coast consist mainly of temperate and some subtropical fish species [17,18]. Consequently, fish fauna in the northern part of the eastern Korean coast exhibit distinctly different species compositions compared with the southern and southeastern fish assemblages influenced by the Tsushima Warm Current (TWC) [19]. Marine communities in the East Sea can be vertically divided into shallower and deeper groups owing to the different influences of the East Korea Warm Current in the surface layer and the North Korea Cold Current in the deeper layer [20].
Over the past six decades, the East Sea has undergone significant environmental changes [21], particularly driven by recent climate warming, resulting in a substantial increase in surface water temperatures [22]. These temperature shifts have triggered alterations in the community structure [23,24], leading to gradual poleward shifts in the distributional ranges of marine organisms, including fishes and invertebrates [25,26], and the emergence of tropical and/or subtropical marine species in the Korean Peninsula [27,28]. However, the lack of comparative studies across different time periods limits our ability to understand historical data and predict future variations.
In this study, we compared demersal fish assemblages in coastal habitats across the study site, depth, and season in the East Sea off the Korean coast. Our specific objectives were to (1) compare species richness, abundance, and diversity between study sites across different depth layers; (2) explore differences in assemblage structures based on study sites, seasons, and depth layers; (3) examine the relationship between changes in demersal fish assemblage structures and water temperature. The findings from this study enhance our understanding of the interaction between water temperature and the spatial structure of demersal fish assemblages in the Korean East Sea, thereby promoting improved conservation and management of fishery resources.

2. Materials and Methods

2.1. Study Area

Investigations were conducted at two latitudinal locations on the mid-eastern coast of Korea (Figure 1), situated within the southwestern East Sea (also known as the Sea of Japan). This semi-enclosed marginal sea is surrounded by the Korean Peninsula, Russia, and the Japanese Islands, with its oceanographic structures primarily influenced by the Tsushima Warm Current and the Liman Cold Current. Variations in water mass between the warm surface of Tsushima warm water and the homogeneous cold deep water play a significant role in shaping marine ecosystems [29]. Notably, the marine environment of the study area is influenced by two sub-currents, the East Korea Warm Current and the North Korea Cold Current, which branch from the Tsushima Warm Current and the Liman Cold Current, respectively. The two study sites (southern Hupo and northern Ayajin) were selected to identify how the distribution of fish assemblages varied depending on the path of the sub-currents and water depth in the East Sea. The Hupo area is located on the path of the East Korea Warm Current, whereas the Ayajin is located on the boundary between the East Korea Warm Current and the North Korean Korea Cold Current (Figure 1). Sea surface water temperatures in the study area typically ranged from 7.2 to 25.4 °C at the northern site (Ayajin) and from 10.5 to 24.4 °C at the southern site (Hupo) [30].

2.2. Sampling

Field sampling was conducted over a year, seasonally from May 2018 to March 2019, using bottom gill nets (75 m long, 2 m high, and 90 mm mesh) at two different locations (Ayajin, northern site, and Hupo, southern site). Four seasons were considered: spring (May–June), summer (August), autumn (October–December), and winter (February–March). Fish samples were collected by installing bottom gill nets for 24 h at three different depth layers (shallow, ~50 m; intermediate, ~80 m; and deeper, ~150 m at Ayajin and ~120 m at Hupo). Immediately after capture, individual fish were preserved on ice and transferred to the laboratory. In the laboratory, the specimens were identified to the species level and weighed to the nearest milligram. All scientific names were checked with reference to FishBase [31]. To determine the vertical water temperature profiles, CTD (conductivity, temperature, and depth) observations were conducted using onboard SBE19 plus during spring, summer, autumn, and winter at each sampling occasion. Because the distance between three sampling locations covering three depth layers is considerably close, CTD observations were conducted only at the deepest location (the outermost station).

2.3. Data Analyses

As our sampling involved deploying a single set of fishing gear for 24 h at each site, depth, and season, we did not replicate our sampling efforts. Consequently, our dataset is unsuitable for three-way (site × depth × season) community-level data analyses due to the absence of replication at the lowest factor level. Before conducting data analyses, we assessed for any significant differences in fish assemblage structure between two sites, among three depth layers, and among four seasons using one-way analysis of similarities (ANOSIM). Significant effects were observed at the “site” (global-R = 0.271, p = 0.001) and “depth” (global-R = 0.246, p = 0.001) factors but not at the “season” (global-R = 0.002, p = 0.432). Therefore, we focused our analyses on the two factors: “site” and “depth”.
To estimate community-level diversity, we used the Shannon–Wiener index (H’) [31]. Spatial differences in species richness (number of species), abundance (number of individuals), and diversity were assessed using two-way analysis of variance (ANOVAs) with the Shannon–Weiner index as the response variable. Post hoc ANOVA comparisons were conducted using Tukey’s honestly significant difference test. Prior to the ANOVA test, the abundances of each species were log-transformed (log[abundance + 1]).
Inferential and descriptive analyses were performed to examine abundance trends with the study site and water depth. Permutation multivariate analyses of variance (PERMANOVA) based on Bray–Curtis similarity matrices were conducted on a log (abundance + 1) basis [32]. PERMANOVA is a non-parametric method that uses permutation procedures to test hypotheses and provides a robust and flexible method for assessing differences between groups while accounting for the multivariate nature of the data and the complex experimental designs often encountered in ecology [33,34]. The analysis factors were site (Ayajin and Hupo) and depth (shallow, intermediate, and deeper). The similarity matrices were subjected to a two-way PERMANOVA to test for factor effects. Metric multidimensional scaling (mMDS) ordination was used to visualize the factor effects and to identify how much multivariate dispersions were overlapped among factor groups. Canonical analysis of principal coordinates (CAPs) was used to assess statistical significance among the factor levels and to identify possible contributions of individual species to differences among groups [35,36]. The relative contributions of species to observed differences were assessed using correlation coefficients, and species meeting specific criteria were plotted. Individual species with correlations higher than 0.4 and a total abundance greater than 1 percent were plotted on CAP axes 1 and 2 for additional visualization of the results.
ANOVA was performed using SYSTAT software (IBM SPSS Statistics v28, Chicago, IL, USA). Multivariate analyses were performed using routines in the PRIMER v7 multivariate statistics package (www.primer-e.com) and the PERMANOVA+ add-on module [35,37]. Statistical significance was set at p < 0.05.

3. Results

3.1. Vertical Trends of Water Temperature in Northern and Southern Sites

Water temperatures exhibited distinct seasonal and depth-related patterns at both study sites (Figure 2). Sea surface water temperatures ranged from 5.7 to 22.5 °C in Ayajin and 14.1 to 26.1 °C in Hupo, with clear seasonal variations. In Ayajin, temperatures in the shallow depth layer (~50 m) sharply declined compared to the surface layer, ranging from 3.5 to 9.6 °C, whereas those in the intermediate and deeper layers remained consistently low regardless of season (below 4 °C). Similarly, in Hupo, temperatures in the shallow depth layer decreased with depth, except during autumn when water temperatures remained constant from the surface to a depth of ~60 m. Water temperatures at intermediate depths were below 4 °C except in autumn (7.8 °C) and dropped to between 1.3 and 2.8 °C at deeper depths. These trends in vertical water temperature resulted in a stratified water mass between the shallow and intermediate or deeper layers in both Ayajin and Hupo.

3.2. Fish Species Composition

A total of seventy-three species and 6250 specimens of demersal fish from 26 families were collected from the study area (Table S1). The predominant families, ranked by species number, were Pleuronectidae (13 species), Cottidae (nine species), Sebastidae (eight species), and Liparidae (five species). Species richness was higher in Ayajin, while the fish abundance was higher at Hupo (Table S1). The most abundant fish families were Pleuronectidae, Cottidae, and Gadidae in both Ayajin and Hupo, whereas Sebastidae and Clupeidae were more abundant in Ayajin and Hupo, respectively (Table 1). In terms of fish species, Glyptocephalus stelleri was the most dominant fish species at both Ayajin and Hupo, followed by Gadus macrocephalus and Icelus cataphractus in Ayajin, and Cleisthenes pinetorum and Hippoglossoides dubius in Hupo (Table 1).
Demersal fish assemblages showed distinct family compositions in Ayajin and Hupo across the three depth layers (Figure 3). Pleuronectidae fishes comprised the predominant fish group, accounting for >50% of the total fish abundance at all depth layers in Ayajin and Hupo, except at the shallow depth layer in Ayajin, where Cotiidae fishes were the most abundant, followed by Pleuronectidae, Sebastidae, and Hexagrammidae fishes. Cotiidae fishes were the secondary or tertiary most abundant fish groups at intermediate and deeper layers in Ayajin and shallow and intermediate depth layers in Hupo. Gadidae fishes, predominantly G. macrocephalus, were abundant only in the intermediate and deeper depth layers at both sites, whereas Clupeidae fishes were more prevalent in the shallow depth layer in Hupo. Psychrolutidae fishes were absent in shallow depth layers but showed higher abundance at deeper depths in both Ayajin and Hupo.

3.3. Variations in Species Richness, Abundance, and Diversity

The mean species richness (number of species), abundance (number of specimens), and diversity varied by site and depth. Two-way ANOVA showed that the species richness of the demersal fish assemblages differed significantly between the two study sites and among the three depth layers, whereas abundance and diversity were only significant according to site and depth, respectively (Table 2). No significant two-way interactions were found between the two factors for any of the dependent variables (Table 2).
Tukey’s post hoc tests indicated that the mean species richness and diversity were higher in the shallow depth layer than in the intermediate and deeper habitats, whereas no significant difference was observed among the depth layers for abundance (Figure 4). In addition, the mean species richness and diversity tended to be higher in Ayajin, whereas the mean abundance was higher in Hupo (Figure 4).

3.4. Fish Assemblage Structure

A two-way PERMANOVA revealed that fish assemblages were significantly associated with site and depth, and the two-way interaction was significant (p < 0.05). Pairwise comparisons of site and depth showed significant differences in fish assemblage structures at shallow depths between Ayajin and Hupo, but no significant between-site differences were observed in the intermediate or deeper layers (Table 3). Significant differences were also observed between the shallow and intermediate-depth layers at Ayajin and between the shallow and deep layers at both Ayajin and Hupo (Table 3).
Metric MDS ordination of the similarity of the mean fish assemblages showed a clear difference by study site and depth (Figure 5). Samples from different sites showed distinct clustering patterns along the MDS2 axis, whereas the multivariate dispersions slightly overlapped with the depths within each site, except for the shallow depth layer in Ayajin (Figure 5). In addition, samples of depth-dependent fish assemblages within each site were clearly divided into three depth layers along the MDS1 axis in the mMDS ordination.
To further investigate the PERMANOVA results, CAP analysis was performed for significant interactions. The CAP plot for site–depth interaction showed a clear separation among the factor groups (Figure 6). Samples from the shallow layer in Ayajin were strongly separated from other sites along the CAP1 axis, and three fish species (Alcichthys elongatus, Enophrys diceraus, and Sebastes taczanowskii) contributed to this separation. Clupea pallasii, Gymnocanthus herzensteini, C. pinetorum, and Pseudopleuronectes herzensteini characterized the fish assemblages in the shallow and intermediate depth layers in Hupo, and Dasycottus setiger, G. macrocephalus, and G. stelleri showed species contributions to the intermediate and deeper layers in Ayajin and deeper layers in Hupo (Figure 6).

4. Discussion

Among the 73 species collected, three flounder (G. stelleri, C. pinetorum, and H. dubius), one sculpin (G. herzensteini), and one Pacific cod (G. macrocephalus) emerged as the most dominant species in both Ayajin and Hupo. In addition, four families (Pleuronectidae, Cottidae, Gadidae, and Clupeidae) constituted abundant fish groups. Notably, the dominant fish families and species in our study differ significantly from those in the southeastern and southern coastal regions of the Korean Peninsula [18,38,39]. These species are crucial fisheries resources harvested through gill nets and bottom trawling in the East Sea of Korea [40,41], yet they are rarely landed or are almost absent in the fisheries catches of the Southern Sea of Korea [19,42]. In particular, blackfin flounder (G. stelleri) is distributed throughout the high-latitude Northwest Pacific and constitutes the most abundant fishery resource among flounder species in the East Sea [43]. Pacific cod is widely found throughout the North Pacific region and on the Korean Peninsula. The population of this species in Korean waters is mainly distributed in the East Sea; however, a small population is present in the Yellow Sea (western sea area of Korea) [42]. In addition, although the abundances of walleye pollock (Gadus chalcogramma) and Japanese sandfish (Arctoscopus japonicus) were relatively low in our study, the two species were only distributed in the East Sea (Sea of Japan), constituting important fishery resources [44,45].
In our study, species richness and diversity tended to decrease with increasing water depth at both Ayajin and Hupo, but abundance did not show such a depth-related trend. Generally, the number of species, abundance (or biomass), and diversity of fish assemblages tend to decrease as water depth increases [46,47,48]. This decline is attributed to changes in environmental conditions such as temperature, pressure, light, and food availability, which can limit the types of species that can thrive at greater depths [49]. Furthermore, habitat complexity decreases with depth because of fewer complex structures, such as reefs or vegetated habitats. This reduction can lead to fewer niches available for different species, resulting in a lower diversity of fish assemblages [50]. In this study, the vertical profiles of water temperature showed distinct seasonal and spatial trends. In particular, the positions of the thermocline are located at the shallow layer in Ayjin and at the shallow and intermediate layers in Hupo. Fish assemblages in the thermocline zone may encounter wider ranges of water temperature as the seasons change, and consequently, this zone can be home to various types of fish, including those that prefer warmer or colder water [51]. Moreover, low values and narrow ranges of water temperature in the deeper layers may not be suitable for harboring a variety of fish species because fish species richness and diversity tend to increase in areas with a wider range of water temperatures than in regions with more homogeneous temperature conditions [52].
Multivariate analyses confirmed that the structure of demersal fish assemblages differed significantly between the two sites and among the three depth layers. Such differences were particularly evident between Ayajin and Hupo in the shallow layers and between the shallow and intermediate/deeper layers within each study site. The differences in assemblages may have been caused by variations in habitat use by individual fish species at different sites and depths. Canonical analysis of the principal coordinates revealed that two sculpin species (A. elongatus and E. diceraus) and one rockfish species (Sebastes taczanowskii) were limited to the shallow depth layer of Ayajin, whereas four demersal fish species (C. pallasii, G. herzensteini, C. pinetorum, and Pseudopleuronectes herzensteini) were highly associated with the shallow and intermediate depth layers of Hupo. In addition, D. setiger, G. macrocephalus, and G. stelleri contributed to fish assemblages in the intermediate and/or deeper layers of both Ayajin and Hupo. In the present study, the differences in demersal fish assemblages were likely associated with the habitat preferences of each species with respect to depth and water temperature. For example, among fish species, C. pallasii is distributed in the Northwest Pacific, but its main aggregations are formed at depths of less than 100 m [53], whereas Psychrolutidae fishes, including Dasycottus setiger, are typical deep-water fishes, and their vertical distributions are concentrated at depths greater than 150 m [4,54]. Three species, A. elongatus, E. diceraus, and Sebastes taczanowskii, are typical boreal species distributed at high latitudes in the northern hemisphere [55] and occur mainly at latitudes higher than 37° N, where the influence of the North Korea Cold Current is prevalent on the eastern coast of Korea [56].
In marine ecosystems, water temperature is widely regarded as the most significant environmental variable influencing species distribution and community structure within fish assemblages [52]. Based on the global water temperature patterns, the distributional ranges of fish species can be categorized primarily into tropical, subtropical, temperate, and boreal distributions, progressing latitudinally from low- to high-latitude regions [57]. The marine environment of the Korean Peninsula is classified within a typical temperate climate zone, characterized mainly by temperate species; however, subtropical species are also prevalent during the summer season and in sea areas at lower latitudes, such as Jeju Island [58,59]. According to marine zoogeography, the study area is situated in the western Pacific boreal region [60] and is home to several boreal marine fishes, such as Pacific cod and walleye pollock [61,62]. However, recent climate warming has led to shifts in the distribution of marine species, notably enabling poleward expansions in the distributional ranges of warm-water marine species and movement of the southern distributional boundary of cold-water species [63]. For example, in the Korean East Sea, the habitat distribution of walleye pollock has moved toward higher latitudes over the past few decades [64]. In addition, this study confirmed the occurrence of warm-water fish such as Ditrema temminckii, Monocentris japonica, Konosirus punctatus, and Seriola quinqueradiata [57], which were almost absent in a previous study conducted 15 years ago in the mid-latitudes of the Korean East Sea [17]. This variability in fish assemblages seems to correspond to recent warming trends in the East Sea [25]. Climate change trends in the East Sea are expected to become more evident and consequently lead to changes in the composition of fish communities; hence, continuous monitoring of fish communities is required to detect such variability.

5. Conclusions

In summary, this study offers insights into the spatial variability of demersal fish assemblages within the East Sea along the Korean coast. Our research highlights the significant impact of study site and depth on the assemblage structure of demersal fish, primarily influenced by variations in the abundance of common fish species. Moreover, we observed that species richness and diversity were significantly higher in the shallow layers than in the deeper layers. Although there were seasonal differences in the position of the thermocline, this study cannot detect any influences of seasonal thermocline depth on demersal fish assemblage. Nonetheless, since seasonal changes in thermocline can affect the vertical distribution of fish assemblage [65,66], it is important for further studies to dig deeper and confirm how much of an impact these seasonal shifts really have on fish assemblages. Understanding the composition of faunal assemblages in coastal habitats lays important baselines for future research and management strategies, particularly in regions like the eastern Korean waters, where research is currently limited. In addition, our findings hold promise for enhancing fisheries management in temperate coastal environments, which are home to diverse fishery resources and face challenges posed by climate change.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ani14111612/s1, Table S1: List of fish species collected from the three depth layers in Ayajin and Hupo coast of East Sea, Korea and their abundances.

Author Contributions

Conceptualization, J.M.P.; methodology, J.M.P.; Formal analysis, J.M.P.; visualization, J.M.P. and H.K.J.; writing—original draft, J.M.P.; writing—review and editing, J.M.P.; supervision, C.I.L. and I.S.H.; project administration, C.I.L. and I.S.H.; funding acquisition, C.I.L. and I.S.H.; investigation, J.W.P.; resources, J.W.P.; data curation, H.K.J.; investigation, H.K.J.; All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the Korea Institute of Ocean Science & Technology (PEA0201), Korea Institute of Marine Science & Technology Promotion (20220533), and National Institute of Fisheries Science (2024045) funded by the Ministry of Oceans and Fisheries.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are available on request due to restrictions.

Acknowledgments

We are grateful to the members of the Fisheries Oceanography Laboratory at Gangneung-Wonju National University for their assistance with fish sample collection and measurements.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Chen, Z.; Liang, C.; Xian, W. Spatial and temporal variations in autumn fish assemblages in the offshore waters of the Yangtze Estuary. Diversity 2023, 15, 669. [Google Scholar] [CrossRef]
  2. Tessier, A.; Descloux, S.; Lae, R.; Cottet, M.; Guedant, P.; Guillard, J. Fish assemblages in large tropical reservoirs: Overview of fish population monitoring methods. Rev. Fish. Sci. Aquac. 2016, 24, 160–177. [Google Scholar] [CrossRef]
  3. Lauria, V.; Gristina, M.; Fiorentino, F.; Attrill, M.J.; Garofalo, G. Spatial management units as an ecosystem-based approach for managing bottom-towed fisheries in the central Mediterranean Sea. Front. Mar. Sci. 2020, 7, 233. [Google Scholar] [CrossRef]
  4. Lee, C.I.; Jung, H.K.; Kwon, S.M.; Han, M.H.; Seol, K.S.; Park, J.M. Depth-dependent variability of fish fauna in the coastal waters off Hupo, East Sea. Korean J. Ichthyol. 2018, 30, 36–45. [Google Scholar] [CrossRef]
  5. Georgios, A.O.; Touloumis, K.; Koutrakis, E.; Tsikliras, A.C. Fish assemblages along a bathymetric gradient in the northern Aegean Sea: An ecomorphological approach. Deep Sea Res. Part I Oceanogr. Res. Pap. 2023, 207, 104223. [Google Scholar] [CrossRef]
  6. Olivar, M.P.; Beckley, L.E. Latitudinal variation in diversity and abundance of mesopelagic fishes associated with change in oceanographic variables along 110 °E, south-east Indian Ocean. Deep Sea Res. Part II Top. Stud. Oceanogr. 2022, 198, 105053. [Google Scholar] [CrossRef]
  7. Mont’Alverne, R.; Pereyra, P.E.R.; Garcia, A.M. Trophic segregation of a fish assemblage along lateral depth gradients in a subtropical coastal lagoon revealed by stable isotope analyses. J. Fish Biol. 2016, 89, 770–792. [Google Scholar] [CrossRef] [PubMed]
  8. González-Sansón, G.; Aguilar-Betancourt, C.M.; Kosonoy-Aceves, D. Influence of sediment granulometry and salinity on the composition of an estuarine fish assemblage in the Mexican Tropical Pacific. Rev. Biol. Trop. 2018, 66, 1065–1077. [Google Scholar] [CrossRef]
  9. Máñez-Crespo, J.; Tomas, F.; Fernández-Torquemada, Y.; Royo, L.; Espino, F.; Antich, L.; Bosch, N.E.; Castejón, I.; Hernan, G.; Marco-Méndez, C.; et al. Variation in fish abundance, diversity and assemblage structure in seagrass meadows across the Atlanto-Mediterranean province. Diversity 2022, 14, 808. [Google Scholar] [CrossRef]
  10. Roset, N.; Grenouillet, G.; Goffaux, D.; Pont, D.; Kestemont, P. A review of existing fish assemblage indicators and methodologies. Fish. Manag. Ecol. 2007, 14, 393–405. [Google Scholar] [CrossRef]
  11. Park, J.M.; Riedel, R.; Ju, H.H.; Choi, H.C. Fish assemblage structure comparison between freshwater and estuarine habitats in the lower Nakdong River, South Korea. J. Mar. Sci. Eng. 2020, 8, 496. [Google Scholar] [CrossRef]
  12. Jung, H.-K.; Rahman, S.M.M.; Choi, H.-C.; Park, J.-M.; Lee, C.-I. Recent Trends in Oceanic Conditions in the Western Part of East/Japan Sea: An analysis of climate regime shift that occurred after the late 1990s. J. Mar. Sci. Eng. 2021, 9, 1225. [Google Scholar] [CrossRef]
  13. Lee, C.-I.; Jung, Y.-W.; Jung, H.-K. Response of spatial and temporal variations in the Kuroshio Current to water column structure in the western part of the East Sea. J. Mar. Sci. Eng. 2022, 10, 1703. [Google Scholar] [CrossRef]
  14. Park, Y.-G.; Cho, Y.-K.; Kim, K. A hydraulic model of the Korea Strait bottom cold current. J. Oceanogr. 1995, 51, 713–727. [Google Scholar] [CrossRef]
  15. Lee, J.-Y.; Kang, D.-J.; Kim, I.-N.; Rho, T.; Lee, T.; Kang, C.-K.; Kim, K.-R. Spatial and temporal variability in the pelagic ecosystem of the East Sea (Sea of Japan): A review. J. Mar. Syst. 2009, 78, 288–300. [Google Scholar] [CrossRef]
  16. Im, S.O. Feeding Relationship and Trophic Partitioning of Demersal Fish Assemblage in the Coastal Waters of East Sea; Pukyong National University: Busan, Republic of Korea, 2019. [Google Scholar]
  17. Ryu, J.H.; Kim, P.-K.; Kim, J.K.; Kim, H.J. Seasonal variation of species composition of fishes collected by gill net and set net in the middle East Sea of Korea. Korean J. Ichthyol. 2005, 17, 279–286. [Google Scholar]
  18. Kang, P.J.; Kim, C.K.; Hwang, S.W. Fish assemblages collected by bottom trammel gill net around Gampo in the East Sea of Korea. Korean J. Environ. Biol. 2015, 33, 27–33. [Google Scholar] [CrossRef]
  19. Ryu, J.-H.; Kim, J.-K. Diversity and assemblage structure of marine fish species collected by set net in Korean Peninsula during 2009–2013. Ocean Sci. J. 2020, 55, 581–591. [Google Scholar] [CrossRef]
  20. Kim, D.; Ji, R.; Park, H.J.; Feng, Z.; Jang, J.; Lee, C.l.; Kang, Y.-H.; Kang, C.-K. Impact of shifting subpolar front on phytoplankton dynamics in the western margin of East/Japan Sea. Front. Mar. Sci. 2021, 8, 703. [Google Scholar] [CrossRef]
  21. Kang, D.-J.; Kim, K.; Kim, K.-R. The past, present and future of the East/Japan sea in change: A simple moving-boundary box model approach. Prog. Oceanogr. 2004, 61, 175–191. [Google Scholar] [CrossRef]
  22. Lee, E.-Y.; Park, K.-A. Change in the Recent Warming Trend of sea surface temperature in the East Sea (Sea of Japan) over decades (1982–2018). Remote Sens. 2019, 11, 2613. [Google Scholar] [CrossRef]
  23. Tian, Y.; Kidokoro, H.; Watanabe, T. Long-term changes in the fish community structure from the Tsushima warm current region of the Japan/East Sea with an emphasis on the impacts of fishing and climate regime shift over the last four decades. Prog. Oceanogr. 2006, 68, 217–237. [Google Scholar] [CrossRef]
  24. Chiba, S.; Saino, T. Variation in mesozooplankton community structure in the Japan/East Sea (1991–1999) with possible influence of the ENSO scale climatic variability. Prog. Oceanogr. 2003, 57, 317–339. [Google Scholar] [CrossRef]
  25. Jung, S.; Pang, I.-C.; Lee, J.-h.; Choi, I.; Cha, H.K. Latitudinal shifts in the distribution of exploited fishes in Korean waters during the last 30 years: A consequence of climate change. Rev. Fish Biol. Fish. 2014, 24, 443–462. [Google Scholar] [CrossRef]
  26. Son, M.H.; Lee, C.I.; Park, J.M.; Kim, H.J.; Riedel, R.; Hwang, I.; Kim, Y.-N.; Jung, H.K. The northward habitat expansion of the Korean Top Shell Turbo sazae (Gastropoda: Vetigastropoda: Turbinidae) in the Korean Peninsula: Effects of increasing water temperature. J. Mar. Sci. Eng. 2020, 8, 782. [Google Scholar] [CrossRef]
  27. Kim, Y.-U.; Kim, Y.-S.; Ahn, G.; Kim, J.-K. New record of the two carangid fishes (Perciformes, Carangidae) from Korea. Korean J. Ichthyol. 1999, 11, 17–22. [Google Scholar]
  28. Myoung, S.H.; Myoung, J.-G.; Woo, M.-S.; Kim, M.J.; Kang, M.G.; Park, J.M. New record of Chromis weberi (Actinopterygii: Ovalentaria: Pomacentridae) from Jeju Island, southern Korea. Acta Ichthyol. Piscat. 2023, 53, 89–94. [Google Scholar] [CrossRef]
  29. Naganuma, K. The sea of Japan as the natural environment of marine organisms. Bull. Jpn. Sea Natl. Fish. Res. Inst. 2000, 50, 1–42. [Google Scholar]
  30. Choi, K.H.; Han, M.H.; Kang, C.-K.; Park, J.M.; Choi, J.H.; Park, J.-H.; Sohn, M.H.; Baeck, G.W.; Choy, E.J.; Lee, C.I. Seasonal variations in species composition of fish assemblage collected by trammel net in coastal waters of the East Sea. J. Korean Soc. Fish. Ocean Technol. 2012, 48, 415–427. [Google Scholar] [CrossRef]
  31. Shannon, C.; Weaver, W. The Mathematical Theory of Communication; Illinois University Press: Urbana, IL, USA, 1949. [Google Scholar]
  32. Clarke, K.R.; Somerfield, P.J.; Chapman, M.G. On resemblance measures for ecological studies, including taxonomic dissimilarities and a zero-adjusted Bray-Curtis coefficient for denuded assemblages. J. Exp. Mar. Biol. Ecol. 2006, 330, 55–80. [Google Scholar] [CrossRef]
  33. Anderson, M.J.; Walsh, D.C.I. PERMANOVA, ANOSIM, and the Mantel test in the face of heterogeneous dispersions: What null hypothesis are you testing? Ecol. Monogr. 2013, 83, 557–574. [Google Scholar] [CrossRef]
  34. Anderson, M.J. A new method for non-parametric multivariate analysis of variance. Austral Ecol. 2001, 26, 32–46. [Google Scholar] [CrossRef]
  35. Anderson, M.; Gorley, R.; Clarke, K. PERMANOVA+ for PRIMER: Guide to Software and Statistical Methods; PRIMER-E Plymouth Marine Laboratory: Plymouth, UK, 2008. [Google Scholar]
  36. Anderson, M.J.; Willis, T.J. Canonical analysis of principal coordinates: A useful method of constrained ordination for ecology. Ecology 2003, 84, 511–525. [Google Scholar] [CrossRef]
  37. Clarke, K.; Gorley, R. PRIMER v7: User Manual/Tutorial; PRIMER-E: Plymouth, UK, 2015. [Google Scholar]
  38. Cha, B.Y.; Kim, D.K.; Seo, S.H. Species and abundance variation of fish by a gill net in coastal waters of southern sea, Korea, 2006. Korean J. Ichthyol. 2007, 19, 210–224. [Google Scholar]
  39. Yoon, E.-A.; Hwang, D.-J.; Min, E.; Cho, N.-K.; Han, Y.-M. Species composition and abundance of fishery resources collected by gill net, trap net, and longline near Oenarodo, Go-heung Peninsula, Korea. J. Korean Soc. Fish. Ocean Technol. 2017, 53, 246–255. [Google Scholar] [CrossRef]
  40. Choi, J.-H.; Kang, H.J.; Lim, J.H.; Kim, D.-H. A bioeconomic analysis on evaluation of management policies for Blackfin flounder Glyptocephalus stelleri-In the case of eastern sea danish fisheries. J. Korean Soc. Fish. Ocean Technol. 2020, 56, 347–360. [Google Scholar] [CrossRef]
  41. Park, H.-H. Fishing investigation with trammel nets by mesh size in the Korean deep-water of the East Sea. J. Korean Soc. Fish. Ocean Technol. 2013, 49, 1–17. [Google Scholar] [CrossRef]
  42. Kim, Y.; Han, K.; Kang, C.; Kim, J. Commercial Fishes of the Coastal and Offshore Waters in Korea; Hangel: Busan, Republic of Korea, 2004. [Google Scholar]
  43. Sohn, M.H.; Yang, J.H.; Park, J.-H.; Lee, H.; Choi, Y.M.; Lee, J.B. Stock assessment and optimal catch of blackfin flounder Glyptocephalus stelleri in the East Sea, Korea. Korean J. Fish. Aquat. Sci. 2013, 46, 598–606. [Google Scholar] [CrossRef]
  44. Kang, S.; Kim, S. What caused the collapse of walleye pollock population in Korean waters? KMI Int. J. Marit. Aff. Fish. 2015, 7, 43–58. [Google Scholar] [CrossRef]
  45. Watanabe, K.; Sugiyama, H.; Sugishita, S.; Suzuki, N.; Sakuramoto, K. Estimation of distribution boundary between two sandfish Arctoscopus japonicus stocks in the Sea of Japan off Honshu, Japan using density indices. Bull. Jpn. Soc. Fish. Ocean. 2004, 68, 27–35. [Google Scholar]
  46. Brokovich, E.; Einbinder, S.; Shashar, N.; Kiflawi, M.; Kark, S. Descending to the twilight-zone: Changes in coral reef fish assemblages along a depth gradient down to 65 m. Mar. Ecol. Prog. Ser. 2008, 371, 253–262. [Google Scholar] [CrossRef]
  47. Stefanoudis, P.V.; Gress, E.; Pitt, J.M.; Smith, S.R.; Kincaid, T.; Rivers, M.; Andradi-Brown, D.A.; Rowlands, G.; Woodall, L.C.; Rogers, A.D. Depth-dependent structuring of reef fish assemblages from the shallows to the rariphotic zone. Front. Mar. Sci. 2019, 6, 307. [Google Scholar] [CrossRef]
  48. Anderson, M.J.; Tolimieri, N.; Millar, R.B. Beta diversity of demersal fish assemblages in the north-eastern Pacific: Interactions of latitude and depth. PLoS ONE 2013, 8, e57918. [Google Scholar] [CrossRef] [PubMed]
  49. Sih, T.L.; Cappo, M.; Kingsford, M. Deep-reef fish assemblages of the Great Barrier Reef shelf-break (Australia). Sci. Rep. 2017, 7, 10886. [Google Scholar] [CrossRef] [PubMed]
  50. Jankowski, M.W.; Graham, N.A.J.; Jones, G.P. Depth gradients in diversity, distribution and habitat specialisation in coral reef fishes: Implications for the depth-refuge hypothesis. Mar. Ecol. Prog. Ser. 2015, 540, 203–215. [Google Scholar] [CrossRef]
  51. Smith, K.F.; Brown, J.H. Patterns of diversity, depth range and body size among pelagic fishes along a gradient of depth. Glob. Ecol. Biogeogr. 2002, 11, 313–322. [Google Scholar] [CrossRef]
  52. Tittensor, D.P.; Mora, C.; Jetz, W.; Lotze, H.K.; Ricard, D.; Berghe, E.V.; Worm, B. Global patterns and predictors of marine biodiversity across taxa. Nature 2010, 466, 1098–1101. [Google Scholar] [CrossRef] [PubMed]
  53. Ivshina, E.R.; Mukhametov, I.N. The spatial distribution of the Pacific herring Clupea pallasii on the northeastern shelf of Sakhalin Island in the modern period. Russ. J. Mar. Biol. 2023, 49, 638–649. [Google Scholar] [CrossRef]
  54. Fujita, T.; Inada, T.; Ishito, Y. Depth-gradient structure of the demersal fish community on the continental shelf and upper slope off Sendai Bay, Japan. Mar. Ecol. Prog. Ser. 1995, 118, 13–23. [Google Scholar] [CrossRef]
  55. GBIF. Global Biodiversity Information Facility. Available online: https://www.gbif.org/ (accessed on 1 March 2024).
  56. Sohn, M.H.; Yoon, B.S.; Park, J.-H.; Choi, Y.M.; Yang, J.H. Species composition and distribution of trammel net catches in the coastal waters of Gangwon province, Korea. Korean J. Fish. Aquat. Sci. 2014, 47, 945–959. [Google Scholar] [CrossRef]
  57. Froese, R.; Pauly, D. FishBase. World Wide Web Electronic Publication. Version (02/2024). Available online: www.fishbase.org (accessed on 3 January 2024).
  58. Kim, H.K.; Chan, B.K.K.; Lee, S.-k.; Kim, W. Biogeography of intertidal and subtidal native and invasive barnacles in Korea in relation to oceanographic current ecoregions and global climatic changes. J. Mar. Biol. Assoc. United Kingd. 2020, 100, 1079–1091. [Google Scholar] [CrossRef]
  59. Yang, H.-S.; Kim, T.; Lee, K.-T.; Kim, T.; Baker, D.M.; Kang, D.-H. Use of autonomous reef monitoring structures to monitor changes in the marine environment in Jeju, South Korea: A Brief Review. Ocean Sci. J. 2023, 58, 17. [Google Scholar] [CrossRef]
  60. Briggs, J.C. Marine Zoogeography; McGraw-Hill: New York, USA, 1974. [Google Scholar]
  61. Park, J.M.; Jung, H.K.; Lee, C.I. Factors influencing dietary changes of walleye pollock, Gadus chalcogrammus, inhabiting the East Sea off the Korean coast. J. Mar. Sci. Eng. 2021, 9, 1154. [Google Scholar] [CrossRef]
  62. Chung, S.; Kim, S.; Kang, S. Ecological relationship between environmental factors and Pacific cod (Gadus macrocephalus) catch in the southern East/Japan Sea. Anim. Cells Syst. 2013, 17, 374–382. [Google Scholar] [CrossRef]
  63. Cheung, W.W.; Lam, V.W.; Sarmiento, J.L.; Kearney, K.; Watson, R.; Pauly, D. Projecting global marine biodiversity impacts under climate change scenarios. Fish Fish. 2009, 10, 235–251. [Google Scholar] [CrossRef]
  64. Kim, S.; Kang, S.; Zhang, C.-I.; Seo, H.; Kang, M.; Kim, J.J. Comparison of fisheries yield and oceanographic features at the southern boundaries of the western and eastern Subarctic Pacific Ocean. ICES J. Mar. Sci. 2012, 69, 1141–1147. [Google Scholar] [CrossRef]
  65. Alvarez, I.; Rasmuson, L.K.; Gerard, T.; Laiz-Carrion, R.; Hidalgo, M.; Lamkin, J.T.; Malca, E.; Ferra, C.; Torres, A.P.; Alvarez-Berastegui, D.; et al. Influence of the seasonal thermocline on the vertical distribution of larval fish assemblages associated with Atlantic bluefin tuna spawning grounds. Oceans 2021, 2, 64–83. [Google Scholar] [CrossRef]
  66. Gui, M.M.; Michael, F.S.; Helder, M.S.; Mario, R.P. Structure and zonation of demersal fish assemblages off the Azores Archipelago (mid-Atlantic). Mar. Ecol. Prog. Ser. 2006, 324, 241–260. [Google Scholar] [CrossRef]
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Figure 1. Map of the study area in the northern (Ayajin) and southern (Hupo) sites of the East Sea off the Korean coast. Fish samples were collected at three depth layers within the boxed areas.
Figure 1. Map of the study area in the northern (Ayajin) and southern (Hupo) sites of the East Sea off the Korean coast. Fish samples were collected at three depth layers within the boxed areas.
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Figure 2. Vertical distribution of water temperature structures during four seasons in Ayajin (AY) and Hupo (HP).
Figure 2. Vertical distribution of water temperature structures during four seasons in Ayajin (AY) and Hupo (HP).
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Figure 3. Relative abundance of fish species in each family with respect to study site and depth layer (AY, Ayajin; HP, Hupo; S, shallow; I, intermediate; D, deeper).
Figure 3. Relative abundance of fish species in each family with respect to study site and depth layer (AY, Ayajin; HP, Hupo; S, shallow; I, intermediate; D, deeper).
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Figure 4. Variations in species richness (A), abundance (B), and diversity (C) of fish assemblage in relation to site and water depth.
Figure 4. Variations in species richness (A), abundance (B), and diversity (C) of fish assemblage in relation to site and water depth.
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Figure 5. Spatial (site) and depth-related patterns of demersal fish assemblages by metric MDS ordination. Ellipses show approximate 95% confidence boundaries for average assemblages calculated by 999 bootstrap averaging across replicates with replacement (AY, Ayajin; HP, Hupo; S, shallow; I, intermediate; D, deeper).
Figure 5. Spatial (site) and depth-related patterns of demersal fish assemblages by metric MDS ordination. Ellipses show approximate 95% confidence boundaries for average assemblages calculated by 999 bootstrap averaging across replicates with replacement (AY, Ayajin; HP, Hupo; S, shallow; I, intermediate; D, deeper).
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Figure 6. (a) Ordination plots for canonical analysis of principal coordinates of fish assemblage and (b) corresponding strength and direction of Pearson correlation in relation to site–depth interactions. AY, Ayajin; HP, Hupo; S, shallow; I, intermediate; D, deeper.
Figure 6. (a) Ordination plots for canonical analysis of principal coordinates of fish assemblage and (b) corresponding strength and direction of Pearson correlation in relation to site–depth interactions. AY, Ayajin; HP, Hupo; S, shallow; I, intermediate; D, deeper.
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Table 1. List of the most abundant fish families and species as a proportion of total abundance (%) collected from the Ayajin and Hupo coast of the East Sea, Korea.
Table 1. List of the most abundant fish families and species as a proportion of total abundance (%) collected from the Ayajin and Hupo coast of the East Sea, Korea.
FamilyAyajin (%)Hupo (%)SpeciesAyajin (%)Hupo (%)
Pleuronectidae54.7 62.8 Glyptocephalus stelleri50.0 23.9
Cottidae16.3 11.8 Cleisthenes pinetorum3.1 18.8
Gadidae8.0 7.0 Hippoglossoides dubius0.6 16.9
Clupeidae0.2 8.7 Gymnocanthus herzensteini2.6 11.2
Psychrolutidae3.5 6.0 Gadus macrocephalus7.6 7.0
Liparidae1.5 2.2 Clupea pallasii0.2 8.7
Sebastidae4.4 <0.1 Dasycottus setiger2.9 6.0
Hexagrammidae2.5 0.3 Icelus cataphractus5.0 0.2
Trichodontidae2.7 0.2 Pseudopleuronectes herzensteini0.4 2.7
Monacanthidae1.7 Alcichthys elongatus3.3 0.4
Cyclopteridae1.6 <0.1 Liparis ingens0.4 2.1
Other families2.7 0.9 Arctoscopus japonicus2.7 0.2
Hemilepidotus gilberti2.3
Enophrys diceraus2.2
Hexagrammos otakii1.6 0.1
Eumicrotremus orbis1.4
Sebastes taczanowskii1.4
Stephanolepis cirrhifer1.3
Careproctus rastrinus1.1 <0.1
Sebastes owstoni1.1
Other species8.8 2.0
Table 2. Results of two-way ANOVA on the number of species, their abundance, and the diversity of fish assemblages in the study areas. Bold numbers indicate significant differences at p < 0.05.
Table 2. Results of two-way ANOVA on the number of species, their abundance, and the diversity of fish assemblages in the study areas. Bold numbers indicate significant differences at p < 0.05.
SourcedfSpecies RichnessAbundanceDiversity
FpFpFp
Site112.7330.0025.3190.0332.6630.120
Depth211.4120.0011.2760.30314.703<0.001
Site × Depth20.0580.9430.5290.5981.5540.239
Residual24
Table 3. Results of pairwise PERMANOVA tests for site–depth interactions within each habitat, site, or season. Asterisk indicates significant difference at p < 0.05.
Table 3. Results of pairwise PERMANOVA tests for site–depth interactions within each habitat, site, or season. Asterisk indicates significant difference at p < 0.05.
Site–Depth Interaction
SiteShallowIntermediateDeeper
Ayajin–Hupo2.0252 *1.33271.4139
DepthAyajinHupo
Shallow–Intermediate2.0040 *1.1171
Shallow–Deeper2.3013 *2.0174 *
Intermediate–Deeper0.82701.5104
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Park, J.M.; Lee, C.I.; Park, J.W.; Jung, H.K.; Han, I.S. Spatial Dynamics of Demersal Fish Assemblages off the Korean Coast in the East Sea. Animals 2024, 14, 1612. https://doi.org/10.3390/ani14111612

AMA Style

Park JM, Lee CI, Park JW, Jung HK, Han IS. Spatial Dynamics of Demersal Fish Assemblages off the Korean Coast in the East Sea. Animals. 2024; 14(11):1612. https://doi.org/10.3390/ani14111612

Chicago/Turabian Style

Park, Joo Myun, Chung Il Lee, Jong Won Park, Hae Kun Jung, and In Seong Han. 2024. "Spatial Dynamics of Demersal Fish Assemblages off the Korean Coast in the East Sea" Animals 14, no. 11: 1612. https://doi.org/10.3390/ani14111612

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