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Brief Report

A First Study on Distribution Characteristics of Common Dolphin in Korean Waters: A Study Using Data Collected during the Past 20 Years

Cetacean Research Institute, National Institute of Fisheries Science, Ulsan 44780, Republic of Korea
*
Author to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2023, 11(9), 1635; https://doi.org/10.3390/jmse11091635
Submission received: 29 July 2023 / Revised: 11 August 2023 / Accepted: 12 August 2023 / Published: 22 August 2023
(This article belongs to the Special Issue Feature Papers in Marine Biology)

Abstract

:
The common dolphin (Delphinus delphis) is the second-most bycaught species in Korean waters. To provide key information about their habitat boundaries and hotspots for spatial conservation and management, the spatial use of this species was examined using data obtained from sighting and bycatch surveys of cetaceans in the past 20 years. The 95% minimum convex polygon and 95% density contour of fixed-kernel analysis suggested that the boundary of the home range of common dolphins is limited to the coastal region (Busan–Sokcho) of the East Sea/Sea of Japan. From 50% density contours drawn by kernel density estimation, it was suggested that their hotspots are around the coast of Ulsan–Pohang, Doghae, and Sokcho within the home range. Common dolphins were not observed in the Yellow Sea. Hence, shallow waters in the geographic area of the coastal region of the Yellow Sea are likely not a suitable habitat for common dolphins in this region.

1. Introduction

Fisheries bycatch is currently the largest source of human-caused deaths of marine mammals worldwide [1]. To reduce the global bycatch of marine mammals, international protection policies have been implemented [1,2]. In Europe, all cetaceans are strictly protected under the articles of the EU Habitats Directive [2]. The United States enacted regulations under the Marine Mammal Protection Act aimed at reducing marine mammal bycatch in international fisheries in 2016 [1]. These regulations require any country exporting fish and fish products to the United States to have or establish marine mammal protections equivalent to those in the United States [1].
In many countries, spatial conservation or protection initiatives, which focus on the protection of key areas and habitats, have attempted to reduce marine mammal bycatch [3,4,5]. According to Slooten, 2013 [4], to stem the decline of the Hector’s dolphin population resulting from fisheries mortality in New Zealand waters, marine protected areas (MPAs) have been continually extended since 1970. As a result of the extension of MPAs, the decline in New Zealand’s dolphin populations slowed or halted in 2008 [4]. Tomás and Sanabria, 2022 [6], introduced the histories and areas of MPAs in the Wadden Sea along the coasts of Denmark, Germany, and The Netherlands; the Banks Peninsula, located on the east coast of the South Island of New Zealand; the Humpback Whale National Marine Sanctuary, located in Hawaii; and Melville Bay in Greenland, suggesting the effectiveness of spatial protection measures for marine mammals. Therefore, understanding the distribution or geographical range of a species is a key factor to prioritize spatial management for species conservation [7].
Home range analyses are a common method used to determine the distribution of marine mammals [8]. According to Burt, 1943 [9], the home range of an animal is defined as “that area traversed by an individual in its normal activities of food gathering, mating, and caring for young”. Typically, the home range reflects habitat use [10]. Marine mammal populations often have hotspots [9], which are often termed small geographic areas with a high density of animals [4,11].
The common dolphin (Delphinus delphis) is a globally abundant species that is mainly distributed in the tropical and temperate waters of the Atlantic and Pacific oceans [12,13]. In addition, several studies have found common dolphins in coastal regions [14,15,16]. In Korean waters, the common dolphin is the second-most bycaught species [17]. It is mostly observed and bycaught in the coastal regions of the East Sea [18,19,20]. Lee et al., 2018 [17] reported that over 250 common dolphins per year were bycaught by commercial fisheries in the East Sea from 2011 to 2017. The common dolphin bycatch in Korean waters was mainly found in set and gill nets [18]. In Korean waters, both set and gill nets are widely used. Set nets are stationary fishing nets, while gill nets are mostly classified into stationary and mobile fishing nets in Korean waters. Although set nets are fixed at a certain position legally permitted in the coastal region, gill nets are operated anywhere in coastal and offshore regions in Korean waters. Therefore, it is necessary to develop appropriate spatial management initiatives to reduce common dolphin bycatch. However, there is little information on their spatial characteristics; focusing on key areas and habitats of the common dolphin is necessary to make spatial management decisions.
In Korean waters, cetacean hunting continued until 1986 when the killing of cetaceans stopped as a result of an IWC moratorium on commercial whaling. Then, cetacean research began with sighting surveys in 2000 and was continually conducted until the present [20]. Since a legal system for collecting information on cetacean bycatch was established in 2011, the spatial and temporal information on cetacean bycatch has improved [18].
In this study, two simple questions were considered: where do common dolphins live in Korean waters, and where do hotspots of common dolphins exist in Korean waters? The area used by common dolphins and the existence of their hotspot were examined on the basis of sighting and bycatch surveys of cetaceans over the past 20 years. The present study is the first to describe the spatial use of common dolphins in Korean waters. Our results may provide key information about their hotspots and habitat boundaries for the spatial conservation and management of this species in Korean waters.

2. Materials and Methods

2.1. Sightings Data

Sighting surveys have been conducted primarily to estimate the abundance and determine the distribution of cetaceans living in Korean waters using several research vessels of the National Institute of Fisheries Science since 1999 (Figure 1). The sighting surveys from 2000 to 2020 are summarized in Table 1. Visual line-transect surveys covered 40,543 nautical miles during the study period. The surveys were prioritized in the Yellow Sea (YS) and the East Sea/Sea of Japan (ES) because of the absence of dedicated research vessels and inadequate budges (Table 1). Surveys in subtidal zones about 10 m in depth were not conducted in the YS. The surveys were also carried out in sea conditions of Beaufort ≤ 4 and in the closing mode for species identification and group size (number of individuals) estimation by a trained and experienced observer team (4–8 persons) onboard the research vessel. The observers mainly conducted their visual sighting surveys with the naked eye and telescopes. Observers rotated their positions. Left-side observers surveyed from left 60° to right 20°, and right-side observers searched from right 60° to left 20°. An observer who recognized cetaceans set the foremast to 0° to determine the angle and distance between the cetaceans. Zigzag transect lines with a random start were employed within the study area [21]. The visual observations were conducted during the daytime from sunrise to sunset. The speed of the research vessel was maintained at 10–12 knots.

2.2. Bycatch Data

In the Republic of Korea, a certificate for each bycaught cetacean has been issued by the Korean Coast Guard since 2011 [18]. The Korean Coast Guard conducts a mandatory detailed investigation of each bycaught cetacean (bycatch species and position, body injury of the cetacean, etc.) to confirm the case as incidental and report a government-issued certificate in accordance with pertinent laws [18]. In this study, the spatial count data (individuals) of common dolphin bycatch in Korean waters from 2011 to 2020 were obtained from these certificates.

2.3. Data Analyses

The minimum convex polygon (MCP) method and fixed kernel density estimation (KDE) were used to estimate the home ranges [22,23,24,25]. The MCP estimator is a straightforward approach that involves creating a convex polygon (i.e., a polygon with no internal angles greater than 180 degrees) encompassing all locational points gathered for an animal or group [24]. The MCP estimation was generally based on all cases collected from the surveys (100% MCP). However, the MCP method has a high sensitivity to outlier locations and tends to overestimate the home range [22,26]. The weaknesses of MCPs can be reduced by applying rules that exclude a certain proportion of the outermost locations (e.g., 95% MCP) [22,27,28]. In the present study, the 95% and 100% MCPs were calculated to find the home range boundaries of the common dolphin in Korean waters using data collected from sighting and bycatch surveys in the past 20 years.
In this study, to determine whether common dolphins used random habitats, the Kolmogorov–Smirnov goodness-of-fit test (K–S test) was applied [29]. The null hypothesis for the K–S test is that the cumulative frequency distribution of the observed data is uniform. Comparison between the observed cumulative distribution and the cumulative distribution expected on the basis of the hypothesized distribution leads to decisions about whether the maximum difference between the two distributions is significant [30]. KDE was used to produce animal density maps by fitting a density function to weighted animal sightings onto a user-defined grid [11]. The function allows users to incorporate a barrier for the interpolation of sightings [11]. Therefore, KDE can account for multiple centers of behavior [22]. Brough et al., 2018 [11], investigated the existence of hotspots of Hector’s dolphins in New Zealand with 50% density contours (DCs) extracted from the overall kernel analysis. The 50% DC has been extensively used to define core areas in wildlife distribution studies; it reflects the area in which 50% of the weighted sightings occur [31,32,33]. In this study, the 50% DC was used as an indicator of the existence of hotspots using data collected from sighting surveys over the past 20 years. The 95% DC for KDE drawn to compare the home range boundaries of common dolphins resulted from the 95% MCP analysis. In the K–S test and KDE analyses, the bycatch data of common dolphins were inappropriate to use without the standardization of bycatch by spatial locations and the efforts of fishing gear. An ad hoc method was applied to calculate a smoothing parameter (bandwidth) for the kernel [34]. All home range analyses were completed using the adehabitatHR package [35] in R (R Development Core Team).

3. Results

Figure 2 shows the locations of common dolphins sighted and bycaught in Korean waters. Common dolphins were mostly found and bycaught in the coastal region of the ES. In particular, there were no findings of common dolphins in the offshore region. In addition, no common dolphins were found or bycaught in the YS. The numbers of common dolphin bycatch events in the ES and South Sea (SS) were 3761 and 8, respectively.
In Korean waters, the polygon area drawn by the 100% MCP was enclosed from the SS to the ES, excluding the YS, while that drawn by the 95% MCP ranged from Ulsan to Sokcho along the coastal region of the ES (Figure 3). The outermost locations of the polygon area for the 100% MCP contained almost all the bycatch locations.
The K–S test results are shown in Figure 4. There were apparent differences in distances between the observed and expected cumulative distributions for sighting locations (both latitude and longitude) of common dolphins. The two distances were significantly different (p < 0.05). These results indicate that common dolphins used the coastal region of the ES unevenly.
Figure 5 shows the 95% and 50% DCs drawn using KDE analysis. The range of the 95% DC was slightly more extended toward the northern and southern directions than the range of the 95% MCP. In the 95% DC, a large school of common dolphins was observed in a location away from the coast of Sokcho, so a contour was drawn in that location. As a result of the 50% DC for the KDE analysis, the hotspots of common dolphins in Korean waters were formed around the coast of Ulsan–Pohang, Donghae, and Sokcho (Figure 5). The coast of Ulsan–Pohang, among these hotspots in the ES, was the widest (Figure 5).

4. Discussion

Spatial information on the extent and area of habitat use is necessary to make spatial management decisions for animal conservation [36]. The polygon area drawn by the 100% MCP covered most of the Korean waters, except the YS, and seemed to be overestimated due to several of the outermost bycatch locations. Börger et al., 2006 [22], reported that methods rejecting a certain proportion of the outermost locations for MCP analysis lack any biological basis and do not eliminate biases. However, it is well-known that the 100% MCP is sensitive to abnormal behaviors of animals, such as excursional and exploratory behaviors leaving the home range, which can cause outliers [28,37]. As defined by Burt, 1943 [9], the home range covers the area used by an animal during its normal activities, such as mating and foraging.
Thousands of gill nets, which are one of the main types of fishing gear involved in common dolphin bycatch in Korean waters, are used in both the SS and the ES [18,38]. However, common dolphins were rarely bycaught around the SS (including Jeju-do) and Ulleung-do. Bycatch events of common dolphins in the SS and offshore regions of the ES occurred several times from 2011 to 2020 (Figure 2). Therefore, the home range boundary of common dolphins based on 95% MCP analysis is more reliable than that based on 100% MCP analysis. Furthermore, when comparing the boundary drawn by the 95% DC for KDE with that drawn by the 95% MCP, there was a small difference between the two boundaries drawn in the coastal region of the ES. Therefore, we suggest that the home range of common dolphins is limited from Busan to Sokcho along the coastal region of the ES in Korean waters. The SS and offshore region of the ES may be utilized as maritime routes of migration or excursions of common dolphins. How and why common dolphins use these sea areas will be a major research topic in the future.
Hotspots are areas that are not spatially fixed and can change over time. The effectiveness of spatial protection in the reduction of dolphin bycatch has already been noted [4]. Tomás and Sanabria, 2022 [2], showed recovery trends in populations of four marine mammal species, geographically placed in distant marine protected areas, providing empirical evidence that suggests the effectiveness of spatial management. Therefore, the protection of hotspots could be prioritized in spatial management decisions as long as they are continually monitored to ensure that they remain key areas for cetaceans. According to several prior studies [18,19], common dolphins have mostly been observed in the coastal regions of the ES. The present study further revealed the areas where hotspots of common dolphins exist within their home range by the 50% DC for KDE analyses. According to the analysis, it was suggested that their hotspots during study years were formed around the coast of Ulsan–Pohang, Donghae, and Sokcho within their home range.
Ecosystem productivity altered by nutrient enrichment may be considered an important biological factor affecting the formation of hotspots of cetaceans. According to Yoo and Park, 2009 [39], the waters around Ulsan–Pohang, delineated as the widest hotspot in the present study, constituted the most productive region, coupled with frequent coastal upwelling in the ES. Lee et al., 2017 [40], reported the waters around Ulsan–Pohang are used as a biological hotspot of minke whales. Kemper et al., 2013 [41], claimed that the increase in the records of pygmy right whales off Australia and New Zealand was related to the increase in coastal upwelling and productivity during climatic phenomena, such as El Niño, near their hotspots. Moura et al., 2012 [14], noted that a patchy distribution of common dolphins along the Portuguese coastline was associated with chlorophyll concentration. Manna et al., 2016 [42], described that bottlenose dolphins in the southern Mediterranean Sea prefer shallower feeding grounds that often host rich food webs, implying that chlorophyll-a is a useful parameter in identifying hotspots. However, it is difficult to improve the understanding of the formation of common dolphin hotspots because little is known about the biological and physical factors influencing changes in their spatial density in the ES. On the other hand, the hotspots of common dolphins are endangered or vulnerable habitats because the fishing grounds of various fisheries, such as those using set and gill nets, are formed around those hotspots, resulting in the bycatch of large numbers of common dolphins [38]. Further studies should be conducted seasonally and spatially on the seasonal distributions of common dolphins in the ES and appropriate fishing regulations (e.g., legal designations as protection areas, prohibited fishing periods, etc.) to reduce common dolphin bycatch.
Measures for reducing the risk of cetacean bycatch in fishing gear have been reviewed [43,44]. Moreover, several studies on technical mitigation measures for marine mammal bycatch have been conducted [45,46]. It is also a necessary initiative for the conservation of the common dolphin to extensively apply such mitigation measures to commercial fishing gear and vessels that operate within their home ranges. For example, in Korea, the use of excluder devices developed to prevent the bycatch of finless porpoises has been legally recommended to fishermen using stow nets in the YS [47]. However, in countries where fishery development is considered vital for food security or maintaining the balance of trade, cetacean bycatch action plans may be considered low-priority or politically unacceptable [48]. Furthermore, many fishermen realistically require a high financial reward and aid from the government to compensate for catch losses and bycatch reduction device (e.g., excluders and pingers) installation costs. In Korea, implementing a national policy of bycatch reduction of common dolphins in the coastal region of the ES also remains difficult. A preferential application of these mitigation measures to fishing gear and vessels operating within the waters around Ulsan–Pohang, identified as the widest hotspot in the coastal region of the ES, could be considered a feasible policy to reduce the bycatch of common dolphins with a lower social cost.
Jefferson et al., 2015 [12], illustrated that common dolphins are distributed from the YS to the ES. However, an interesting finding of the present study is that common dolphins are not distributed at all in the YS (Figure 2). In a similar case in Korean waters, finless porpoises were only distributed along the southern coast of the ES, YS, and SS [19]. According to Jefferson et al., 2015 [12], common dolphins are widely distributed in tropical to cool-temperature waters. MacLeod et al., 2007 [49], reported that this species in the Alboran Sea preferentially occurred in waters warmer than 12.3 °C. It is well-known that sea surface temperatures in the ES and YS are generally warmer than 10 °C in all seasons except for winter [50,51]. Namely, the coastal regions of the YS and ES are characterized by temperate waters except for in the winter. Alternatively, there is an apparent topographic difference in the coastal regions of the YS and ES. The coastal region of the YS consists of ria coasts and broad tidelands, while that of the ES has a topographic feature, where the depth after 200 m rapidly increases [52,53]. It seems that shallow waters, such as those in the coastal region of the YS, are not suitable habitats for common dolphins. In addition, Ahn et al., 2014 [54], reported that the prey species found in the stomach contents of common dolphins were mostly Enoploteuthis chunii (a squid species), common squid, and Pacific herring. In Korea, both common squid and Pacific herring were mostly caught in the ES [55,56]. Okiyama and Kasahara, 1975 [57] reported that E. chunii was also collected at a depth of around 300 m. The species assessed as the main prey of common dolphins were mainly distributed in the ES and at deeper depths. Pietroluongo et al., 2020 [16], reported that common dolphins show a preference for coastal waters due to the movement to epipelagic areas by small pelagic fish both in the western and eastern Mediterranean areas during warmer months, implying that the spatial distribution of the common dolphin could be caused by the spatial distribution of its prey (small pelagic fish). Therefore, the different distributions of common dolphins between the YS and ES may be caused by the composition and distribution of its prey species as a nutritional variable.

Author Contributions

Conceptualization, writing—original draft preparation, review and editing, and formal analysis, J.-T.Y.; investigation, K.J.P. and K.L.; data curation, D.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by a grant from the National Fisheries Research and Development Institute, Korea (R2023004).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Moore, J.E.; Heinemann, D.; Francis, T.B.; Hammond, P.S.; Long, K.J.; Punt, A.E.; Reeves, R.R.; Sepúlveda, M.; Sigurðsson, G.M.; Siple, M.C.; et al. Estimating bycatch mortality for marine mammals: Concepts and best practices. Front. Mar. Sci. 2021, 8, 752356. [Google Scholar] [CrossRef]
  2. Dolman, S.; Baulch, S.; Evans, P.G.H.; Read, F.; Ritter, F. Towards an EU action plan on cetacean bycatch. Mar. Policy 2016, 72, 67–75. [Google Scholar] [CrossRef]
  3. Quintana-Rizzo, E.; Cabrera, A.A.; Ortiz-Wolford, J.; Dávila, V. Spatial distribution and abundance of small cetaceans in the Pacific waters of Guatemala. Front. Mar. Sci. 2021, 8, 674134. [Google Scholar] [CrossRef]
  4. Slooten, E. Effectiveness of area-based management in reducing bycatch of the New Zealand dolphin. Endanger. Species Res. 2013, 20, 121–130. [Google Scholar] [CrossRef]
  5. Wilson, B.; Reid, R.J.; Grellier, K.; Thompson, P.M.; Hammond, P.S. Considering the temporal when managing the spatial: A population range expansion impacts protected areas-based management for bottlenose dolphins. Anim. Conserv. 2004, 7, 331–338. [Google Scholar] [CrossRef]
  6. Tomás, E.G.; Sanabria, J.G. Comparative analysis of marine protected area effectiveness in the protection of marine mammals: Lessons learned and recommendations. Front. Mar. Sci. 2022, 9, 940803. [Google Scholar] [CrossRef]
  7. Dwyer, S.L.; Clement, D.M.; Pawley, M.D.M.; Stockin, K.A. Distribution and relative density of cetaceans in the Hauraki Gulf, New Zealand. N. Z. J. Mar. Freshw. Res. 2016, 50, 457–480. [Google Scholar] [CrossRef]
  8. Bouchillon, H.; Levine, N.S.; Fair, P.A. GIS Investigation of the relationship of sex and season on the population distribution of common bottlenose dolphins (Tursiops truncatus) in Charleston, South Carolina. Int. J. Geogr. Inf. Sci. 2020, 34, 1552–1566. [Google Scholar] [CrossRef]
  9. Burt, W.H. Territoriality and home range concepts as applied to mammals. J. Mammal. 1943, 24, 346–352. [Google Scholar] [CrossRef]
  10. Chen, B.Y.; Zheng, D.M.; Ju, J.F.; Xu, X.R.; Zhou, K.Y.; Yang, G. Range patterns of resident Indo-Pacific humpback dolphins (Sousa chinensis, Osbeck 1765) in Xiamen, China: Implications for conservation and management. Zool. Stud. 2011, 50, 751–762. [Google Scholar]
  11. Brough, T.; Rayment, W.; Slooten, E.; Dawson, S. Fine scale distribution for a population of New Zealand’s only endemic dolphin (Cepbalorbyncbus bectori) shows long-term stability of coastal hotspots. Mar. Mammal Sci. 2018, 35, 140–163. [Google Scholar] [CrossRef]
  12. Jefferson, T.A.; Webber, M.A.; Pitman, R.L. Marine Mammals of the World: A Comprehensive Guide to Their Identification; Academic Press: San Diego, CA, USA, 2015; pp. 268–272. [Google Scholar]
  13. Perrin, W.F. Common dolphins—Delphinus delphis and D. Capensis. In Encyclopedia of Marine Mammals; Perrin, W.F., Würsig, B., Thewissen, J.G.M., Eds.; Academic Press: San Diego, CA, USA, 2009; pp. 255–259. [Google Scholar]
  14. Moura, A.E.; Sillero, N.; Rodrigues, A. Common dolphin (Delphinus delphis) habitat preferences using data from two platforms of opportunity. Acta Oecologica 2012, 38, 24–32. [Google Scholar] [CrossRef]
  15. Vella, A.; Murphy, S.; Giménez, J.; de Setphanis, R.; Mussi, B.; Vella, J.G.; Larbi Doukara, K.; Pace, D.S. The conservation of the endangered Mediterranean common dolphin (Delphinus delphis): Current knowledge and research priorities. Aquatic Conserv. Mar. Freshw. Ecosyst. 2021, 31, 110–136. [Google Scholar] [CrossRef]
  16. Pietroluongo, G.; Cipriano, G.; Ashok, K.; Antichi, S.; Carlier, H.; Miliou, A.; Maglietta, R.; Fanizza, C.; Carlucci, R. Density and Abundance of Delphinus delphis in Waters South of Samos Island, Greece (Eastern Mediterranean Sea). J. Mar. Sci. Eng. 2020, 8, 218. [Google Scholar] [CrossRef]
  17. Lee, S.; Choi, S.; Kim, J.H.; Kim, H.W.; Sohn, H. Characteristics of the cetacean bycatch in Korean coastal waters from 2011 to 2017. Korean J. Fish. Aquat. Sci. 2018, 51, 704–713. [Google Scholar] [CrossRef]
  18. Kim, D.N.; Sohn, H.; An, Y.R.; Park, K.J.; Kim, H.W.; Ahn, S.E.; An, D.H. Status of the cetacean bycatch near Korean waters. Korean J. Fish. Aquat. Sci. 2013, 46, 892–900. [Google Scholar] [CrossRef]
  19. Lee, J.H.; Kim, E.H.; Lee, K.; Park, K.J.; An, Y.R.; Kim, H.W. Occurrence and spatial distribution of marine mammals by sighting surveys in Korean waters during 2011-2020. Korean J. Fish. Aquat. Sci. 2022, 55, 938–945. [Google Scholar] [CrossRef]
  20. Sohn, H.; Park, K.J.; An, Y.R.; Choi, S.G.; Kim, Z.G.; Kim, H.W.; An, D.H.; Lee, Y.R.; Park, T.G. Distribution of whales and dolphins in Korean waters based on a sighting survey from 2000 to 2010. Korean J. Fish. Aquat. Sci. 2012, 45, 486–492. [Google Scholar] [CrossRef]
  21. Strindberg, S.; Buckland, S.T. Zigzag survey designs in line transect sampling. J. Agric. Bio. Environ. Stat. 2004, 9, 443–461. [Google Scholar] [CrossRef]
  22. Börger, L.; Franconi, N.; De Michele, G.; Gantz, A.; Meschi, F.; Manica, A.; Lovari, S.; Coulson, T. Effect of sampling regime on the mean and variance of home range size estimates. J. Anim. Ecol. 2006, 75, 1393–1405. [Google Scholar] [CrossRef]
  23. Cobarrubia-Russo, S.E.; Barreto-Esnal, G.R.; Molero-Lizarraga, A.E.; Mariani-Di Lena, M.A. Individual home ranges of Tursiops truncatus and their overlap with ranges of Stenella frontalis and fishermen in Aragua, Venezuela, South Caribbean. J. Mar. Biolog. Assoc. UK 2020, 100, 857–866. [Google Scholar] [CrossRef]
  24. Gregory, T. Home range estimation. In The International Encyclopedia of Primatology; Fuentes, A., Ed.; Wiley: Hoboken, NJ, USA, 2017; pp. 1–4. [Google Scholar]
  25. Liu, M.; Bejder, L.; Lin, M.; Zhang, P.; Dong, L.; Li, S. Determining spatial use of the world’s second largest humpback dolphin population: Implications for place-based conservation and management. Aquat. Conserv. Mar. Freshw. Ecosyst. 2020, 30, 364–374. [Google Scholar] [CrossRef]
  26. Pleslić, G.; Rako-Gospić, N.; Miočić-Stošić, J.; Blazinić Vučur, T.; Radulović, M.; Mackelworth, P.; Frleta-Valić, M.; Holcer, D. Social structure and spatial distribution of bottlenose dolphins (Tursiops truncatus) along the Croatian Adriatic coast. Aquat. Conserv. Mar. Freshw. Ecosyst. 2019, 29, 2116–2132. [Google Scholar] [CrossRef]
  27. Milmann, L.C.; Danilewicz, D.; Baumgarten, J.; Ott, P.H. Temporal-spatial distribution of an island-based offshore population of common bottlenose dolphins (Tursiops truncatus) in the equatorial Atlantic. Mar. Mamm. Sci. 2016, 33, 496–519. [Google Scholar] [CrossRef]
  28. Ofstad, E.G.; Herfindal, I.; Solberg, E.J.; Sæther, B.E. Home ranges, habitat and body mass: Simple correlates of home range size in ungulates. Proc. R. Soc. B. 2016, 283, 20161234. [Google Scholar] [CrossRef]
  29. Viddi, F.A.; Lescrauwaet, A.K. Insights on habitat selection and behavioural patterns of peale’s dolphins (Lagenorhynchus australis) in the strait of Magellan, Southern Chile. Aqut. Mamm. 2005, 31, 176–183. [Google Scholar] [CrossRef]
  30. Sokal, R.R.; Rohlf, F.J. Biometry: The Principles and Practice of Statistics in Biological Research, 3rd ed.; W.H. Freeman and Company: New York, NY, USA, 1995; pp. 708–715. [Google Scholar]
  31. Bauer, R.K.; Fromentin, J.M.; Demarcq, H.; Brisset, B.; Bonhommeau, S. Co-occurrence and habitat use of fin whales, striped dolphins and Atlantic Bluefin tuna in the northwestern Mediterranean Sea. PLoS ONE. 2015, 10, e0139218. [Google Scholar] [CrossRef]
  32. Carome, W.; Slooten, E.; Rayment, W.; Webster, T.; Wickman, L.; Brough, T.; Dawson, S.M. A long-term shift in the summer distribution of Hector’s dolphins is correlated with an increase in cruise ship tourism. Aquat. Conserv. Mar. Freshw. Ecosyst. 2022, 32, 1660–1674. [Google Scholar] [CrossRef]
  33. Leung, E.; Chilvers, B.L.; Nakagawa, S.; Moore, A.B.; Robertson, B.C. Sexual segregation in juvenile New Zealand sea lion foraging ranges: Implications for intraspecific competition, population dynamics and conservation. PLoS ONE 2012, 7, e45389. [Google Scholar] [CrossRef]
  34. Balmer, B.; Watwood, S.; Quigley, B.; Speakman, T.; Barry, K.; Mullin, K.; Rosel, P.; Sinclar, C.; Zolman, E.; Schwacke, L. Common bottlenose dolphin (Tursiops truncatus) abundance and distribution patterns in St Andrew Bay, Florida, USA. Aquat. Conserv. Mar. Freshw. Ecosyst. 2019, 29, 486–498. [Google Scholar] [CrossRef]
  35. Calenge, C. The package “adehabitat” for the R software: A tool for the analysis of space and habitat use by animals. Ecol. Modell. 2006, 197, 516–519. [Google Scholar] [CrossRef]
  36. Nekolny, S.R.; Denny, M.; Biedenbach, G.; Howells, E.M.; Mazzoil, M.; Durden, W.N.; Moreland, L.; Lambert, J.D.; Gibson, Q.A. Effects of study area size on home range estimates of common bottlenose dolphins Tursiops truncatus. Curr. Zool. 2017, 63, 693–701. [Google Scholar] [CrossRef]
  37. Lee, S.J.; Lee, W.S. Animal home range estimators. Korean J. Environ. Ecol. 2022, 36, 202–216. [Google Scholar] [CrossRef]
  38. Yoon, S.C.; Jeong, Y.K.; Zhang, C.I.; Yang, J.H.; Choi, K.H.; Lee, D.W. Characteristics of Korean coastal fisheries. Korean J. Fish. Aquat. Sci. 2014, 47, 1037–1054. [Google Scholar] [CrossRef]
  39. Yoo, S.; Park, J. Why is the southwest the most productive region of the East Sea/Sea of Japan? J. Mar. Syst. 2009, 78, 301–315. [Google Scholar] [CrossRef]
  40. Lee, D.; An, Y.R.; Park, K.J.; Kim, H.W.; Lee, D.; Joo, H.T.; Oh, Y.G.; Kim, S.M.; Kang, C.K.; Lee, S.H. Spatial distribution of common minke whale (Balaenoptera acutorostrata) as an indication of a biological hotspot in the East Sea. Deep-Sea Res. Part II 2017, 143, 91–99. [Google Scholar] [CrossRef]
  41. Kemper, C.M.; Middleton, J.F.; van Ruth, P.D. Association between pygmy right whales (Caperea marginata) and areas of high marine productivity off Australia and New Zeland. N. Z. J. Zool. 2013, 40, 102–128. [Google Scholar] [CrossRef]
  42. La Manna, G.; Ronchetti, R.; Sarà, G. Predicting common bottlenose dolphin habitat preference to dynamically adapt management measures from a marine spatial planning perspective. Ocean Coast. Manag. 2016, 130, 317–327. [Google Scholar] [CrossRef]
  43. Leaper, R.; Calderan, S.; Leslie, A. Review of Methods Used to Reduce Risks of Cetacean Bycatch and Entanglement; Leslie, A., Henry, L., Eds.; CMS Technical Series No. 38; UNEP/CMS Secretariat: Bonn, Germany, 2018; pp. 1–67. [Google Scholar]
  44. Hamilton, S.; Baker, G.B. Technical mitigation to reduce marine mammal bycatch and entanglement in commercial fishing gear: Lessons learnt and future directions. Rev. Fish. Biol. Fish. 2019, 29, 223–247. [Google Scholar] [CrossRef]
  45. Lee, G.H.; Song, D.H.; Kim, H.Y. Characteristics of catch losses in stow nets with finless porpoise excluder devices and a strategy to reduce them. Reg. Stud. Mar. Sci. 2022, 50, 102147. [Google Scholar] [CrossRef]
  46. Mangel, J.; Alfaro-Shigueto, J.; Witt, M.J.; Hodgson, D.J.; Godley, B.J. Using pingers to reduce bycatch of small cetaceans in Peru’s small-scale driftnet fishery. Oryx 2013, 47, 595–606. [Google Scholar] [CrossRef]
  47. Lee, G.H.; Kim, H.Y.; Song, D.H. The opening efficiency difference of guide net in finless porpoise escape device by the type of extension net in stow net. J. Korean Soc. Fish. Ocean. Technol. 2021, 57, 271–282. [Google Scholar] [CrossRef]
  48. Young, N.M.; Iudicello, S. Worldwide Bycatch of Cetaceans; NOAA Technical Memorandum NMFS-OPR-36; U.S. Department of Commerce: Washington, DC, USA, 2007; p. 276. [Google Scholar]
  49. MacLeod, C.D.; Weir, C.R.; Pierpoint, C.; Harland, E.J. The habitat preferences of marine mammals west of Scotland (UK). J. Mar. Biol. Ass. UK 2007, 87, 157–164. [Google Scholar] [CrossRef]
  50. Kang, J.H.; Pang, I.C.; Chang, K.I. Seasonal variations of SST in the Yellow Sea and the East China Sea. Bull. Mar. Res. Inst. Cheju Nat. Univ. 1999, 23, 1–8. [Google Scholar]
  51. Kim, S.W.; Im, J.W.; Yoon, B.S.; Jeong, H.D.; Jang, S.H. Long-Term Variations of the Sea Surface Temperature in the East Coast of Korea. J. Korean. Soc. Mar. Environ. Saf. 2014, 20, 601–608. [Google Scholar] [CrossRef]
  52. Hong, S.K. Tidal-flat islands in Korea: Exploring biocultural diversity. J. Mar. Isl. Cult. 2012, 1, 11–20. [Google Scholar] [CrossRef]
  53. Seo, H.S.; Kim, D.S. Effect of El Niño and La Niña on the coastal upwelling in East Sea, South Korea. J. Korean Soc. Mar. Environ. Saf. 2020, 26, 075–083. [Google Scholar] [CrossRef]
  54. Ahn, S.; Kim, H.W.; Kim, S.; Lee, Y.R.; Park, K.J.; Kim, D.N.; An, D.H. Diet of long-beaked common dolphin (Delphinus capensis) in the East Sea, Korea. Anim. Cells Syst. 2014, 18, 340–350. [Google Scholar] [CrossRef]
  55. Jo, M.J.; Kim, J.J.; Yang, J.H.; Kim, C.S.; Kang, S.K. Changes in the ecological characteristics of Todarodes pacificus associated with long-term catch variations in jigging fishery. Korean J. Fish. Aquat. Sci. 2019, 52, 685–695. [Google Scholar] [CrossRef]
  56. Yoo, J.T.; Kim, J.J. Fishing characteristics of Pacific herring Clupea pallasii and relationship between its catch and sea temperature during the past 50 years in Korean waters. Korean J. Fish. Aquat. Sci. 2021, 54, 208–217. [Google Scholar] [CrossRef]
  57. Okiyama, M.; Kasahara, S. Identification of the so-called “common squid eggs” collected in the Japan Sea and adjacent waters. Bull. Jap. Sea. Reg. Fish. Res. Lab. 1975, 26, 35–40. [Google Scholar]
Figure 1. Zigzag transect lines in vessel-based line-transect surveys conducted in Korean waters from 2000 to 2020.
Figure 1. Zigzag transect lines in vessel-based line-transect surveys conducted in Korean waters from 2000 to 2020.
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Figure 2. Locations of common dolphins sighted (left: circles) and bycaught (right: triangles) in Korean waters.
Figure 2. Locations of common dolphins sighted (left: circles) and bycaught (right: triangles) in Korean waters.
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Figure 3. Polygon areas (yellow) enclosed by outmost locations for 100% (left) and 95% (right) MCPs. Circles and triangles indicate the locations of common dolphins sighted and bycaught, respectively, in Korean waters.
Figure 3. Polygon areas (yellow) enclosed by outmost locations for 100% (left) and 95% (right) MCPs. Circles and triangles indicate the locations of common dolphins sighted and bycaught, respectively, in Korean waters.
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Figure 4. Comparisons of distances between observed (solid line) and expected (dotted line) distributions for K–S test using the location data (longitude and latitude) of common dolphins sighted in Korean waters.
Figure 4. Comparisons of distances between observed (solid line) and expected (dotted line) distributions for K–S test using the location data (longitude and latitude) of common dolphins sighted in Korean waters.
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Figure 5. Density contours for 50% (red line) and 95% (blue line) kernels.
Figure 5. Density contours for 50% (red line) and 95% (blue line) kernels.
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Table 1. Summary of sighting surveys conducted in Korean waters from 2000 to 2020.
Table 1. Summary of sighting surveys conducted in Korean waters from 2000 to 2020.
YearYellow SeaEast SeaSouth Sea
Survey
Dates
Survey
Effort (n.miles)
Survey
Dates
Survey
Effort (n.miles)
Survey
Dates
Survey
Effort (n.miles)
200011 May–1 Jun.,
20 Sep.–6 Oct.
1494
200120 Apr.–13 May,
8–24 Sep.
1428
200228 Aug.–15 Sep.81319 May–7 Jun.1169
2003 21 Apr.–18 May,
17–30 Sep.
1660
200425 Apr.–31 May178731 Mar.–1 Apr.,
19–21 Jul.,
19–22 Oct.
262
2005 6–8 Apr.,
26 Apr.–25 May,
19–22 Jul.,
31 Aug.–2 Sep.,
25–27 Oct.
1885
2006 1 Apr.,
25 Apr.–17 May,
25–28 Jul.,
20 Sep.,
30 Oct.–3 Nov.
1587
200720–23 Mar.2585–10 Apr.,
25 Apr.–27 May,
12–20 Jun.,
17–25 Oct.
1955
200821–25 Feb.,
19 Apr.–22 May,
23–29 Jul.
19125–12 Mar.,
26 Jun.–1 Jul.,
25–27 Aug.,
20–28 Oct.
565
2009 28 Apr.–27 May,
25 Jun.–2 Jul.,
22–28 Jul.,
158812–18 Jun.,
22–30 Nov.
625
20105–9 Jul.2797 May–9 Jun.,
24 Jul.–5 Aug.,
22–28 Oct.
148119–30 Mar.383
20112–30 May,
5–20 Jul.
146518–30 Mar.,
19–30 Aug.
70314–23 Sep.,
27 Sep.–3 Oct.
534
2012 7–15 Mar.,
29 Apr.–13 May,
20–31 Jul.,
16–26 Oct.
266623–27 Apr.283
201326 Apr.–15 May112412–24 Mar.79618–22 Nov.380
18–28 Jul.
28–30 Oct.
20146–19 Mar.,
23 Jun.–5 Jul.,
16–27 Jul.,
23 Sep.–7 Oct.
2740
2015 2–12 Mar.,
24 Apr.–7 May,
15–21 Jul.,
23 Oct.–2 Nov.
1575
201617–28 Mar.,
26 Oct.–2 Nov.
61723 Apr.–14 May691
201720 Apr.–8 May10521–12 Mar.,
12–18 Jul.,
26 Oct.–7 Nov.
1108
20187–18 Mar.,
22 May–3 Jun.,
9–10 Sep.,
1–5 Nov.
1486
2019 28 Feb.–5 Mar.,
29 May–13 Jun.,
25 Sep.–1 Oct.
1223
2020 18–31 Mar.,
26 Apr.–11 May
969
Total 16,455 21,883 2205
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Yoo, J.-T.; Park, K.J.; Lee, K.; Lee, D. A First Study on Distribution Characteristics of Common Dolphin in Korean Waters: A Study Using Data Collected during the Past 20 Years. J. Mar. Sci. Eng. 2023, 11, 1635. https://doi.org/10.3390/jmse11091635

AMA Style

Yoo J-T, Park KJ, Lee K, Lee D. A First Study on Distribution Characteristics of Common Dolphin in Korean Waters: A Study Using Data Collected during the Past 20 Years. Journal of Marine Science and Engineering. 2023; 11(9):1635. https://doi.org/10.3390/jmse11091635

Chicago/Turabian Style

Yoo, Joon-Taek, Kyum Joon Park, Kyunglee Lee, and Dasom Lee. 2023. "A First Study on Distribution Characteristics of Common Dolphin in Korean Waters: A Study Using Data Collected during the Past 20 Years" Journal of Marine Science and Engineering 11, no. 9: 1635. https://doi.org/10.3390/jmse11091635

APA Style

Yoo, J. -T., Park, K. J., Lee, K., & Lee, D. (2023). A First Study on Distribution Characteristics of Common Dolphin in Korean Waters: A Study Using Data Collected during the Past 20 Years. Journal of Marine Science and Engineering, 11(9), 1635. https://doi.org/10.3390/jmse11091635

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