Research Article
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Year 2025, Volume: 10 Issue: 1, 219 - 230, 01.04.2025
https://doi.org/10.28978/nesciences.1643508

Abstract

References

  • Anderson, M. A., Fisk, A. T., Laing, R., Noël, M., Angnatok, J., Kirk, J., ... & Brown, T. M. (2023). Changing environmental conditions have altered the feeding ecology of two keystone Arctic marine predators. Scientific reports, 13(1), 14056.
  • Boussarie, G., Momigliano, P., Robbins, W. D., Bonnin, L., Cornu, J. F., Fauvelot, C., ... & Vigliola, L. (2022). Identifying barriers to gene flow and hierarchical conservation units from seascape genomics: a modelling framework applied to a marine predator. Ecography, 2022(7), https://doi.org/10.1111/ecog.06158.
  • Clavijo-López, R., Navarrete, W. A. L., Velásquez, J. M., Saldaña, C. M. A., Ocas, A. M., & Tananta, C. A. F. (2024). Integrating Novel Machine Learning for Big Data Analytics and IoT Technology in Intelligent Database Management Systems. Journal of Internet Services and Information Security, 14(1), 206-218.
  • Demirci, B., & Demirhan, S. A. (2022). Food composition and dietary overlap of the lionfish species in Iskenderun bay. Natural and Engineering Sciences, 7(3), 228-239.
  • Godø, O. R., & Trathan, P. (2022). Voluntary actions by the Antarctic krill fishing industry help reduce potential negative impacts on land-based marine predators during breeding, highlighting the need for CCAMLR action. ICES Journal of Marine Science, 79(5), 1457-1466.
  • Grainger, R., Raoult, V., Peddemors, V. M., Machovsky‐Capuska, G. E., Gaston, T. F., & Raubenheimer, D. (2023). Integrating isotopic and nutritional niches reveals multiple dimensions of individual diet specialisation in a marine apex predator. Journal of Animal Ecology, 92(2), 514-534.
  • Holbert, S., Colbourne, K., Fisk, A. T., Ross, P. S., MacDuffee, M., Gobas, F. A. P. C., & Brown, T. M. (2024). Polychlorinated biphenyl and polybrominated diphenyl ether profiles vary with feeding ecology and marine rearing distribution among 10 Chinook salmon (Oncorhynchus tshawytscha) stocks in the North Pacific Ocean. Environmental Research, 241, https://doi.org/10.1016/j.envres.2023.117476.
  • Jenzri, M., Bouraoui, Z., Guerbej, H., Jebali, J., & Gharred, T. (2024). Seasonal variation in fatty acid profiles of Holothuria poli (Delle Chiaje, 1823) from Monastir Bay (Tunisia): implications for trophic markers and lipid nutritional quality assessment. New Zealand Journal of Marine and Freshwater Research, 1-23.
  • Lubitz, N., Daly, R., Filmalter, J. D., Sheaves, M., Cowley, P. D., Naesje, T. F., & Barnett, A. (2023). Context drives movement patterns in a mobile marine predator. Movement Ecology, 11(1), 28.
  • Maja, O., Mirko, B., Goran, M., & Vladimir, P. M. (2019). THE INFLUENCE OF OCEAN TIDES TO DETERMINE THE EARTH'S ORIENTATION PARAMETERS. Archives for Technical Sciences/Arhiv za Tehnicke Nauke, (21) DOI: 10.7251/afts.2019.1121.043O.
  • Mooraki, N., Omrani, M., Khajehrahimi, A. E., & Azhdari, P. (2021). Classifying five ornamental fish species of Cichlidae family by use of logistic regression and discrimination linear analysis. International Journal of Aquatic Research and Environmental Studies, 1(1), 15-21.
  • Muralidharan, A., Chakraborty, R. D., Chakraborty, K., & Dhara, S. (2023). Trophic ecology and diet of the deep-sea penaeid shrimp Metapenaeopsis andamanensis (Wood-Mason in Wood-Mason and Alcock, 1891) by fatty acid signatures and stomach content analysis. Deep Sea Research Part I: Oceanographic Research Papers, 200, https://doi.org/10.1016/j.dsr.2023.104135.
  • Murphy Jr, R. D., Nelson, G. A., & Grabowski, J. H. (2022). The feeding ecology of striped bass and the role of ontogeny. Journal of Northwest Atlantic Fishery Science, https://doi.org/10.2960/J.v53.m737.
  • Ni, F. J., & Arhonditsis, G. B. (2023). Examination of the effects of toxicity and nutrition on a two-prey one-predator system with a metabolomics-inspired model. Ecological Informatics, 73, 101905.
  • Ouled-Cheikh, J., Giménez, J., Albo-Puigserver, M., Navarro, J., Fernández-Corredor, E., Bellido, J. M., ... & Coll, M. (2022). Trophic importance of small pelagic fish to marine predators of the Mediterranean Sea. Marine Ecology Progress Series, 696, 169-184.
  • Papadimitraki, M., Maar, K., & Jónasdóttir, S. H. (2023). Meso-and bathypelagic fish feeding ecology: A meta-analysis on fatty acids and stable isotope trophic studies. Deep Sea Research Part I: Oceanographic Research Papers, 198, https://doi.org/10.1016/j.dsr.2023.104083.
  • Ranganathan, C. (2019). Information seeking behavior of marine scientists in Bharathidasan University: a case study. Indian Journal of Information Sources and Services, 9(1), 45-49.
  • Receveur, A., Allain, V., Menard, F., Lebourges Dhaussy, A., Laran, S., Ravache, A., ... & Menkes, C. (2022). Modelling marine predator habitat using the abundance of its pelagic prey in the tropical South-Western Pacific. Ecosystems, 25(4), 757-779.
  • Rupil, G. M., Angelini, R., Rodrigues Filho, J. L., Roman, J., & Daura-Jorge, F. G. (2022). The role of mammals as key predators in marine ecosystems. Marine Ecology Progress Series, 684, 211-222.
  • Tanjo, T., Minami, K., Mano, K., & Maruyama, H. (2014). Evaluating data utility of privacy-preserving pseudonymized location datasets. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 5(3), 63-78.
  • Vidal, A., Cardador, L., Garcia-Barcelona, S., Macias, D., Druon, J. N., Coll, M., & Navarro, J. (2023). The relative importance of biological and environmental factors on the trophodynamics of a pelagic marine predator, the blue shark (Prionace glauca). Marine Environmental Research, 183, https://doi.org/10.1016/j.marenvres.2022.105808.
  • Xu, M., Pethybridge, H. R., & Li, Y. (2022). Trophic niche partitioning of five sympatric shark species in the tropical eastern Pacific Ocean revealed by multi-tissue fatty acid analysis. Environmental Research, 214, https://doi.org/10.1016/j.envres.2022.113828

Exploring Feeding Ecology and Trophic Relationships in Marine Predators Using Lipid Profiling

Year 2025, Volume: 10 Issue: 1, 219 - 230, 01.04.2025
https://doi.org/10.28978/nesciences.1643508

Abstract

Ecosystem managers have practical difficulties in gaining suitable nutrition data for many shark with chimera species due to the huge sample volumes needed for stomach content research. For conservation and ecosystem to be successful, it is crucial to comprehend the feeding ecology of these species. This research investigates the diet composition of six species: Indian Oceanic Blacktip Shark (Carcharhinus melanopterus), Great White Shark (Carcharodon carcharias), Mako Shark (Isurusoxyrinchus), Giant Trevally (Caranx ignobilis), Tuna (Thunnus spp.), and Barracuda (Sphyraena spp.) using Lipid Profile (LA) analysis. In general, the LPs of chondrichthyan and possible prey species match information on stomach content. The results indicate that the Indian oceanic blacktip shark primarily feeds on smaller fish and invertebrates, while the great white shark targets larger marine mammals and other vertebrates. The Mako Shark preys on pelagic fish and squid, and the Giant Trevally mainly consume smaller fish and squid. Tuna predominantly hunt pelagic fish, including squid, and Barracuda primarily target smaller fish. These findings demonstrate that LP analysis is a valuable tool for analyzing the diets of sharks and large predatory fish. It provides insights into interspecific differences in resource consumption patterns, dietary specializations and the partitioning of ecological niches. Because sample sizes are frequently constrained, this approach works well for researching vulnerable and deep-sea species.

References

  • Anderson, M. A., Fisk, A. T., Laing, R., Noël, M., Angnatok, J., Kirk, J., ... & Brown, T. M. (2023). Changing environmental conditions have altered the feeding ecology of two keystone Arctic marine predators. Scientific reports, 13(1), 14056.
  • Boussarie, G., Momigliano, P., Robbins, W. D., Bonnin, L., Cornu, J. F., Fauvelot, C., ... & Vigliola, L. (2022). Identifying barriers to gene flow and hierarchical conservation units from seascape genomics: a modelling framework applied to a marine predator. Ecography, 2022(7), https://doi.org/10.1111/ecog.06158.
  • Clavijo-López, R., Navarrete, W. A. L., Velásquez, J. M., Saldaña, C. M. A., Ocas, A. M., & Tananta, C. A. F. (2024). Integrating Novel Machine Learning for Big Data Analytics and IoT Technology in Intelligent Database Management Systems. Journal of Internet Services and Information Security, 14(1), 206-218.
  • Demirci, B., & Demirhan, S. A. (2022). Food composition and dietary overlap of the lionfish species in Iskenderun bay. Natural and Engineering Sciences, 7(3), 228-239.
  • Godø, O. R., & Trathan, P. (2022). Voluntary actions by the Antarctic krill fishing industry help reduce potential negative impacts on land-based marine predators during breeding, highlighting the need for CCAMLR action. ICES Journal of Marine Science, 79(5), 1457-1466.
  • Grainger, R., Raoult, V., Peddemors, V. M., Machovsky‐Capuska, G. E., Gaston, T. F., & Raubenheimer, D. (2023). Integrating isotopic and nutritional niches reveals multiple dimensions of individual diet specialisation in a marine apex predator. Journal of Animal Ecology, 92(2), 514-534.
  • Holbert, S., Colbourne, K., Fisk, A. T., Ross, P. S., MacDuffee, M., Gobas, F. A. P. C., & Brown, T. M. (2024). Polychlorinated biphenyl and polybrominated diphenyl ether profiles vary with feeding ecology and marine rearing distribution among 10 Chinook salmon (Oncorhynchus tshawytscha) stocks in the North Pacific Ocean. Environmental Research, 241, https://doi.org/10.1016/j.envres.2023.117476.
  • Jenzri, M., Bouraoui, Z., Guerbej, H., Jebali, J., & Gharred, T. (2024). Seasonal variation in fatty acid profiles of Holothuria poli (Delle Chiaje, 1823) from Monastir Bay (Tunisia): implications for trophic markers and lipid nutritional quality assessment. New Zealand Journal of Marine and Freshwater Research, 1-23.
  • Lubitz, N., Daly, R., Filmalter, J. D., Sheaves, M., Cowley, P. D., Naesje, T. F., & Barnett, A. (2023). Context drives movement patterns in a mobile marine predator. Movement Ecology, 11(1), 28.
  • Maja, O., Mirko, B., Goran, M., & Vladimir, P. M. (2019). THE INFLUENCE OF OCEAN TIDES TO DETERMINE THE EARTH'S ORIENTATION PARAMETERS. Archives for Technical Sciences/Arhiv za Tehnicke Nauke, (21) DOI: 10.7251/afts.2019.1121.043O.
  • Mooraki, N., Omrani, M., Khajehrahimi, A. E., & Azhdari, P. (2021). Classifying five ornamental fish species of Cichlidae family by use of logistic regression and discrimination linear analysis. International Journal of Aquatic Research and Environmental Studies, 1(1), 15-21.
  • Muralidharan, A., Chakraborty, R. D., Chakraborty, K., & Dhara, S. (2023). Trophic ecology and diet of the deep-sea penaeid shrimp Metapenaeopsis andamanensis (Wood-Mason in Wood-Mason and Alcock, 1891) by fatty acid signatures and stomach content analysis. Deep Sea Research Part I: Oceanographic Research Papers, 200, https://doi.org/10.1016/j.dsr.2023.104135.
  • Murphy Jr, R. D., Nelson, G. A., & Grabowski, J. H. (2022). The feeding ecology of striped bass and the role of ontogeny. Journal of Northwest Atlantic Fishery Science, https://doi.org/10.2960/J.v53.m737.
  • Ni, F. J., & Arhonditsis, G. B. (2023). Examination of the effects of toxicity and nutrition on a two-prey one-predator system with a metabolomics-inspired model. Ecological Informatics, 73, 101905.
  • Ouled-Cheikh, J., Giménez, J., Albo-Puigserver, M., Navarro, J., Fernández-Corredor, E., Bellido, J. M., ... & Coll, M. (2022). Trophic importance of small pelagic fish to marine predators of the Mediterranean Sea. Marine Ecology Progress Series, 696, 169-184.
  • Papadimitraki, M., Maar, K., & Jónasdóttir, S. H. (2023). Meso-and bathypelagic fish feeding ecology: A meta-analysis on fatty acids and stable isotope trophic studies. Deep Sea Research Part I: Oceanographic Research Papers, 198, https://doi.org/10.1016/j.dsr.2023.104083.
  • Ranganathan, C. (2019). Information seeking behavior of marine scientists in Bharathidasan University: a case study. Indian Journal of Information Sources and Services, 9(1), 45-49.
  • Receveur, A., Allain, V., Menard, F., Lebourges Dhaussy, A., Laran, S., Ravache, A., ... & Menkes, C. (2022). Modelling marine predator habitat using the abundance of its pelagic prey in the tropical South-Western Pacific. Ecosystems, 25(4), 757-779.
  • Rupil, G. M., Angelini, R., Rodrigues Filho, J. L., Roman, J., & Daura-Jorge, F. G. (2022). The role of mammals as key predators in marine ecosystems. Marine Ecology Progress Series, 684, 211-222.
  • Tanjo, T., Minami, K., Mano, K., & Maruyama, H. (2014). Evaluating data utility of privacy-preserving pseudonymized location datasets. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 5(3), 63-78.
  • Vidal, A., Cardador, L., Garcia-Barcelona, S., Macias, D., Druon, J. N., Coll, M., & Navarro, J. (2023). The relative importance of biological and environmental factors on the trophodynamics of a pelagic marine predator, the blue shark (Prionace glauca). Marine Environmental Research, 183, https://doi.org/10.1016/j.marenvres.2022.105808.
  • Xu, M., Pethybridge, H. R., & Li, Y. (2022). Trophic niche partitioning of five sympatric shark species in the tropical eastern Pacific Ocean revealed by multi-tissue fatty acid analysis. Environmental Research, 214, https://doi.org/10.1016/j.envres.2022.113828
There are 22 citations in total.

Details

Primary Language English
Subjects Agricultural Marine Biotechnology
Journal Section Articles
Authors

Shashikant Patil 0000-0002-8835-908X

R. Asha Rajiv This is me 0000-0002-4058-2178

Varun Kumar Sharma This is me

Dhruv Kumar This is me 0009-0007-7189-8179

Publication Date April 1, 2025
Submission Date February 20, 2025
Acceptance Date March 20, 2025
Published in Issue Year 2025 Volume: 10 Issue: 1

Cite

APA Patil, S., Asha Rajiv, R., Sharma, V. K., Kumar, D. (2025). Exploring Feeding Ecology and Trophic Relationships in Marine Predators Using Lipid Profiling. Natural and Engineering Sciences, 10(1), 219-230. https://doi.org/10.28978/nesciences.1643508

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