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Editorial

Sharing Scientific Evidence of the Response of Aquatic Animals to Environmental Change

1
School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea
2
Department of Marine Biology, Pukyong National University, Busan 48513, Republic of Korea
3
Department of Marine Ecology and Environment, Gangneung-Wonju National University, Gangneung 25457, Republic of Korea
*
Author to whom correspondence should be addressed.
Fishes 2023, 8(1), 40; https://doi.org/10.3390/fishes8010040
Submission received: 20 December 2022 / Accepted: 21 December 2022 / Published: 5 January 2023
(This article belongs to the Special Issue Response of Aquatic Animals to Environmental Changes)
Aquatic animals, which are ecologically important consumers in aquatic ecosystems and widely distributed in rivers, lakes, and seas, which occupy 70% of the earth’s surface, respond in unique ways to environmental changes at various temporal and spatial scales, and have optimized strategies for survival. These organisms play a role in transferring energy to each trophic level through the ecosystem and show different types of responses depending on their ability to adapt to environmental changes [1,2,3]. They may increase local adaptability through genetic variation, or may change their habitat, regulate population density, and adapt to the changed food web as a survival strategy [2,3,4]. Consequently, the response of organisms to environmental changes leads to changes in biodiversity. Marine environments vary from tropical to polar seas, coastal to deep seas, and pelagic to benthic zones, and these environments are affected by local environmental changes, as well as global climate change. During the life cycle, sedentary species (that adapt and live in a relatively narrow spatial range) and migratory species respond sensitively to these environmental changes, e.g., changes in the migration patterns of salmon (Oncorhynchus keta) between rivers and seas, squid (Todarodes pacificus) moving from subtropical to subarctic waters [5,6,7], or the physiological response of sedentary clams to temperature increases in temperate coastal zones [3]. Moreover, changes in the marine environment lead to species extinction, invasion, and changes in dominant species (Figure 1), which may lead to new biological competitions such as changes in the food web, and both predators and prey should have adaptive strategies to survive. In addition, effective analysis techniques are needed to understand the response of ecosystems to environmental changes [2,8].
Invertebrates and fishes are ecologically important consumers in aquatic ecosystems, and information on their dietary sources and trophic interactions is essential for predicting the top–down consequences of potential climatic change and anthropogenic stressors. Assessing the nutritional sources of consumer species and trophic pathways in aquatic ecosystems is of utmost importance in understanding ecosystem functioning. Many scientists have demonstrated alterations in aquatic food web structures caused by changes in community structure and the migration, replacement, and depletion of specific aquatic organisms in response to changing environmental conditions [2,9,10]. Especially, climate change via ocean warming can directly or indirectly influence the abundance and composition of aquatic organisms and their feeding strategies, as well as prey–predator interactions. To evaluate changes in dietary sources and the food web structure, stomach content analysis has been traditionally used as a common tool [11]. Recently, the stable isotope technique has been commonly applied to examine the trophic transfer of organic matter and the trophic structure of aquatic organisms based on actual assimilated diets of consumer species over longer periods [12,13]. More recently, both quantitative and qualitative analyses of prey species could possibly be used for metabarcoding [14,15]. Those tools would enable us to obtain a better insight into food web changes due to climate change. In addition to ecological changes, individual physiological responses would be another area of study to understand the impact of climate change on aquatic animals. Changes in variable physicochemical parameters such as temperature, salinity, currents, or carbon dioxide would definitely induce various physiological responses in individual animals, e.g., in relation to the metabolic pathway, growth, or reproduction. The development of various novel technologies could be applied to understand various responses to climate change.
Overall, in the past hundred years, human activities have had a great impact on the earth’s environment, and the water environment is no exception. The environments in which aquatic animals live are facing the consequences of human activities, e.g., climate change, industrial pollution, agricultural emissions, and recreational activities. Aquatic animals cope with and adapt to the stresses resulting from these impacts and continue to survive. This Special Issue will provide important information to understand the physiological and ecological response characteristics of aquatic animals to changes in the marine environment at various temporal and spatial scales that appear in the process of climate change, and share scientific evidence for future change prospects.

Author Contributions

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

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Jung, H.K.; Rahman, S.M.M.; Kang, C.K.; Park, S.Y.; Lee, S.H.; Park, H.J.; Kim, H.W.; Lee, C.I. The influence of climate regime shifts on the marine environment and ecosystems in the East Asian Marginal Seas and their mechanisms. Deep-Sea Res. Part I Top. Stud. Oceanography 2017, 143, 110–120. [Google Scholar] [CrossRef]
  2. Park, T.H.; Lee, C.I.; Kang, C.K.; Kwak, J.H.; Lee, S.H.; Park, H.J. Seasonal variation in food web structure and fish community composition in the East/Japan Sea. Estuaries Coasts 2020, 43, 615–629. [Google Scholar] [CrossRef]
  3. Kang, H.Y.; Seong, J.; Kim, C.; Lee, B.G.; Lee, I.T.; Kang, C.K. Seasonal energitic physiology in the art shell Anadara kagohimensis in response to rising temperature. Front. Mar. Sci. 2022, 9, 981504. [Google Scholar] [CrossRef]
  4. Cheung, W.W.L.; Lam, V.W.Y.; 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]
  5. Choi, K.; Lee, C.I.; Hwang, K.; Kim, S.W.; Park, J.H.; Gong, Y. Distribution and migration of Japanese common squid, Todarodes pacificus, in the southwestern part of the East (Japan) Sea. Fish. Res. 2008, 91, 281–290. [Google Scholar] [CrossRef]
  6. Urawa, S.; Sato, S.; Crane, P.A.; Agler, B.; Josephson, R.; Azumaya, T. Stock-specific Ocean Distribution and Migration of Chum Salmon in the Bering Sea and North Pacific Ocean. N. Pac. Anadromous Fish Comm. Bull. 2009, 5, 131–146. [Google Scholar]
  7. Rahman, S.M.M.; Jung, H.K.; Park, J.M.; Lee, C.I. Synchronicity of climate driven regime shifts among the East Asian marginal sea waters and major fish species. J. Environ. Biol. 2019, 40, 948–961. [Google Scholar] [CrossRef]
  8. Alam, M.D.; Kim, N.K.; Andriyono, S.; Choi, H.K.; Lee, J.H.; Kim, H.W. Assessment of fish biodiversity in four Korean rivers using environmental DNA metabarcoding. PeerJ 2020, 8, e9508. [Google Scholar] [CrossRef] [PubMed]
  9. Pace, M.L.; Cole, J.J.; Carpenter, S.R.; Kitchell, J.F. Trophic cascades revealed in diverse ecosystems. Trends Ecol. Evol. 1999, 14, 483–488. [Google Scholar] [CrossRef] [PubMed]
  10. Timmerman, C.A.; Giraldo, C.; Cresson, P.; Ernande, B.; Travers-Trolet, M.; Rouquette, M.; Denamiel, M.; Lefebvre, S. Plasticity of trophic interactions in fish assemblages results in temporal stability of benthic-pelagic couplings. Mar. Environ. Res. 2021, 170, 105412. [Google Scholar] [CrossRef] [PubMed]
  11. Buckland, A.; Baker, R.; Loneragan, N.; Sheaves, M. Standardising fish stomach content analysis: The importance of prey condition. Fish. Res. 2017, 196, 126–140. [Google Scholar] [CrossRef]
  12. Pasquaud, S.; Elie, P.; Jeantet, C.; Billy, I.; Martinez, P.; Girardin, M. A preliminary investigation of the fish food web in the Gironde estuary France, using dietary and stable isotope analyses. Estuar. Coast. Shelf Sci. 2008, 78, 267–279. [Google Scholar] [CrossRef]
  13. Layman, C.; Araujo, M.S.; Boucek, R.; Hammerschlag-Peyer, C.M.; Harrision, E.; Jud, Z.R.; Matich, P.; Rosenblatt, A.E.; Vaudo, J.J.; Yeager, L.A.; et al. Applying stable isotopes to examine food-web structure: An overview of analytical tools. Biol. Rev. 2012, 87, 545–562. [Google Scholar] [CrossRef] [PubMed]
  14. Lee, S.R.; Choi, S.-G.; Chung, S.; Kim, D.N.; Kang, C.-K.; Kim, H.-W. Geographical differences in the diet of Dissostichus mawsoni revealed by metabarcoding. Front. Mar. Sci. 2022, 9, 888167. [Google Scholar] [CrossRef]
  15. Barbato, M.; Kovacs, T.; Coleman, M.A.; Broadhurst, M.K.; Bruyn, M.D. Metabarcoding for stomach-content analyses of Pygmy devil ray (Mobula kuhlii cf. eregoodootenkee): Comparing tissue and ethanol preservative-derived DNA. Ecol. Evol. 2019, 9, 2678–2687. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Changes in dominant species of fishery resources caught in the Pacific Northwest marginal seas.
Figure 1. Changes in dominant species of fishery resources caught in the Pacific Northwest marginal seas.
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MDPI and ACS Style

Kang, C.-K.; Kim, H.-W.; Park, H.J.; Lee, C.I. Sharing Scientific Evidence of the Response of Aquatic Animals to Environmental Change. Fishes 2023, 8, 40. https://doi.org/10.3390/fishes8010040

AMA Style

Kang C-K, Kim H-W, Park HJ, Lee CI. Sharing Scientific Evidence of the Response of Aquatic Animals to Environmental Change. Fishes. 2023; 8(1):40. https://doi.org/10.3390/fishes8010040

Chicago/Turabian Style

Kang, Chang-Keun, Hyun-Woo Kim, Hyun Je Park, and Chung Il Lee. 2023. "Sharing Scientific Evidence of the Response of Aquatic Animals to Environmental Change" Fishes 8, no. 1: 40. https://doi.org/10.3390/fishes8010040

APA Style

Kang, C. -K., Kim, H. -W., Park, H. J., & Lee, C. I. (2023). Sharing Scientific Evidence of the Response of Aquatic Animals to Environmental Change. Fishes, 8(1), 40. https://doi.org/10.3390/fishes8010040

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