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Journal of Oceanography

, Volume 65, Issue 1, pp 93–102 | Cite as

Habitat suitability index of Chub mackerel (Scomber japonicus) from July to September in the East China Sea

  • Xinjun ChenEmail author
  • Gang Li
  • Bo Feng
  • Siquan Tian
Original Articles

Abstract

The habitat quality of Chub mackerel (Scomber japonicus) in the East China Sea has been a subject of concern in the last 10 years due to large fluctuations in annual catches of this stock. For example, the Chinese light-purse seine fishery recorded 84000 tons in 1999 compared to 17000 tons in 2006. The fluctuations have been attributed to variability in habitat quality. The habitat suitability Index (HSI) has been widely used to describe fish habitat quality and in fishing ground forecasting. In this paper we use catch data and satellite derived environmental variables to determine habitat suitability indices for Chub mackerel during July to September in the East China Sea. More than 90% of the total catch was found to come from the areas with sea surface temperature of 28.0°–29.4°C, sea surface salinity of 33.6–34.2 psu, chlorophyll-a concentration of 0.15–0.50 mg/m3 and sea surface height anomaly of −0.1–1.1 m. Of the four conventional models of HSI, the Arithmetic Mean Model (AMM) was found to be most suitable according to Akaike Information Criterion analysis. Based on the estimation of AMM in 2004, the monthly HSIs in the waters of 123°–125°E and 27°30′–28°00′ N were more than 0.6 during July to September, which coincides with the catch distribution in the same time period. This implies that AMM can yield a reliable prediction of the Chub mackerel’s habitat in the East China Sea.

Keywords

Habitat suitability index Scomber japonicus East China Sea Chinese purse seine fishery 

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References

  1. Adkison, M. D., R. M. Peterman, M. F. Laointe, D. M. Gillis and J. Korman (1996): Alternative models of climatic effects on sockeye salmon, Oncorhynchus nerka, productivity in Bristol Bay, Alaska, and the Fraser River, British Columbia. Fish. Oceanogr., 5, 137–152.CrossRefGoogle Scholar
  2. Akaike, H. (1973): Information theory and an extension of the maximum likelihood principle. p. 267–281. In International Symposium on Information Theory, 2nd ed., ed. by B. N. Pertaran and F. Csaaki, Acadeemiai Kiadi, Budapest, Hugary.Google Scholar
  3. Andrade, H. A. and A. E. Garcia (1999): Skipjack tuna in relation to sea surface temperature off the southern Brazilian coast. Fish. Oceanogr., 8, 245–254.CrossRefGoogle Scholar
  4. Bayer, M. and W. F. Porter (1988): Evaluation of a guild approach to habitat assessment for forest-dwelling birds. Environmental Management, 12, 797–801.CrossRefGoogle Scholar
  5. Belyaev, V. A. and V. E. Rygalov (1987): Distribution of larvae and formation of year-class abundance of Chub mackerel Scomber japonicus Houttuyn (Scombridae) from the Northwest Pacific. J. Ichthyol., 27, 18–25.Google Scholar
  6. Bertrand, A., E. Josse, P. Bach, P. Gros and L. Dagorn (2002): Hydrological and trophic characteristics of tuna habitat: consequences on tuna distribution and longline catchability. Can. J. Fish. Aquat. Sci., 59, 1002–1013.CrossRefGoogle Scholar
  7. Block, W. M., M. L. Morrison, J. Verner and P. N. Manley (1994): Assessing wildlife habitat relationships models: a case study with California oak woodlands. Wildlife Soc. Bull., 22, 549–561.Google Scholar
  8. Bovee, K. and J. R. Zuboy (1988): Biological Report 88 (11). In Proceedings of the Workshop Development, Evaluation of Habitat Suitability, Criteria, US, Fish, Wildlife Service.Google Scholar
  9. Brooks, R. P. (1997): Improving habitat suitability index models. Wildlife Soc. Bull., 25(1), 163–167.Google Scholar
  10. Brown, S. K., K. R. Buja, S. H. Jury, M. E. Monaco and A. Banner (2000): Habitat suitability index models for eight fish and invertebrate species in Casco and Sheepscot Bays, Maine. North American Journal of Fisheries Management, 20, 408–435.CrossRefGoogle Scholar
  11. Chen, X. J. (2004): Fisheries Resources and Fishing Ground. Ocean Press, Beijing, p. 201–204, 252–254.Google Scholar
  12. Chen, X. J. and F. Shao (2006): Study on the resource characteristics of Symlectoteuthis oualaniensis and their relationships with the sea conditions in the high sea of the northwestern Indian Ocean. Periodical of Ocean University of China, 36(4), 611–616.Google Scholar
  13. Chen, X. J., B. Feng and L. X. Xu (2008): A comparative study on habitat suitability index of bigeye tuna in the Indian Ocean. Journal of Fisheries of China, 15(2), 269–278.Google Scholar
  14. Clark, R. D., T. J. Minello, J. D. Christensen, P. A. Caldwell, M. E. Monaco and G. A. Matthews (1999): Modeling nekton habitat use in Galveston Bay, Texas: an approach to define essential fish habitat (EFH). NOAA/NOS Biogeography Program, Maryland, and National Marine Fisheries Service, Texas, 70 pp.Google Scholar
  15. Collette, B. B. and C. Nauen (1983): FAO Species catalogue 2. Scombrids of the world. An annotated and illustrated catalogue of tunas, mackerels, bonitos and related species known to data. FAO Fish. Synop., 125, 1–137.Google Scholar
  16. Cui, K. and X. J. Chen (2005): Study on inter-annual change of the yields of Pnunmatophorus japonicus and Decapterus maruadsi for purse seine fishing grounds in the East China Sea and the Yellow Sea. Donghai Marine Science, 23(2), 41–49.Google Scholar
  17. Cui, K. and X. J. Chen (2007): Study of the relationships between SST and mackerel abundances in the Yellow and East China Seas. South China Fisheries Science, 3(4), 20–25.Google Scholar
  18. Deng, J. Y. and C. Y. Zhao (1991): The Biology of Marine Fishery. Agriculture Press, Beijing.Google Scholar
  19. Dettmers, R., D. A. Buehler and K. E. Franzreb (2002): Testing habitat-relationship models for forest birds of the southeastern United States. J. Wildlife Manage., 66, 417–424.CrossRefGoogle Scholar
  20. Eastwood, P. D. and G. J. Meaden (2004): Introducing greater ecological realism to fish habitat models GIS/spatial analyses in fishery and aquatic science. Fishery and Aquatic GIS Research Group, 181–198.Google Scholar
  21. Eastwood, P. D., G. J. Meaden and A. Grioche (2001): Modelling spatial variations in spawning habitat suitability for the sole Solea solea using regression quantiles and GIS procedures. Mar. Ecol. Prog. Ser., 224, 251–266.CrossRefGoogle Scholar
  22. Fukuda, S., K. Hiramatsu and M. Mori (2006): Fuzzy neural network model for habitat prediction and HEP for habitat quality estimation focusing on Japanese medaka (Oryzias latipes) in agricultural canals. Paddy Water Environ., 4, 119–124.CrossRefGoogle Scholar
  23. Gallienne, C. P., D. V. P. Conway, J. Robinson, N. Naya, J. S. William, T. Lynch and S. Meunier (2004): Epipelagic mesozooplankton distribution and abundance over the Mascarene Plateau and Basin, south-western Indian Ocean. J. Mar. Biol. Assoc. UK, 84, 1–8.CrossRefGoogle Scholar
  24. Gibson, R. N. (1994): Impact of habitat quality and quantity on the recruitment of juvenile flatfishes, Neth. J. Sea Res., 32, 191–206.CrossRefGoogle Scholar
  25. Grebenkov, A., A. Lukashevich, I. Linkov and L. Kapustka (2006): A habitat suitability evaluation technique and its application to environmental risk assessment. Detection and Disposal of Improvised Explosives. Springer Netherlands, 191–201.Google Scholar
  26. Hess, G. R. and J. M. Bay (2000): A regional assessment of windbreak habitat suitability. Environmental Monitor Assessment, 6(12), 239–256.CrossRefGoogle Scholar
  27. Hiyama, Y., M. Yoda and S. Ohshimo (2002): Stock size fluctuations in Chub mackerel (Scomber japonicus) in the East China Sea and the Japan. Fish. Oceanogr., 11, 347–353.CrossRefGoogle Scholar
  28. Hong, H. S., F. X. He and S. Y. Yang (1997): El Niño phenomenon and variation of catch of Scomber japonicus and Decapterus maruddsi in offshore waters of Zhejiang Province, China. Trans. Oceanol. Limnol., 4, 7–16 (in Chinese).Google Scholar
  29. Kiparissis, S., G. Tserpes and N. Tsimenidis (2000): Aspects on the demography of Chub Mackerel (Scomber japonicus Houttuyn, 1782) in the Hellenic Seas. Belg. J. Zool., 130(Suppl. 1), 3–7.Google Scholar
  30. Ladner, S. D., R. A. Arnone and R. L. Crout (1996): Linear correlations between in situ fish spotter data and remote sensing products off the west coast of the United States. MRL/MR/7240-95-7710, ADA309375.Google Scholar
  31. Lauver, C. L., W. H. Busby and J. L. Whistler (2002): Testing a GIS model of habitat suitability for a declining grassland bird. Environmental Management, 30(1), 88–97.CrossRefGoogle Scholar
  32. Li, G., X. J. Chen and B. Feng (2008): Age and growth of Chub mackerel (Scomber japonicus) in the East China Sea and Yellow Sea based on the sectioned otolith analysis. Journal of Ocean University of China, 7(4), 55–59.CrossRefGoogle Scholar
  33. Mizobata, K. and S. Saitoh (2004): Variability of Bering Sea eddies and primary productivity along the shelf edge during 1998–2000 using satellite multisensor remote sensing. J. Mar. Syst., 50(1–2), 101–111.CrossRefGoogle Scholar
  34. Reyes, E., F. H. Sklar and J. W. Day (1994): A regional organism exchange model for simulating fish migration. Ecol. Model., 74, 255–276.CrossRefGoogle Scholar
  35. Rothley, K. D. (2001): Manipulative, multi-standard test of white-tailed deer habitat suitability model. Journal of Wildlife Management, 65(4), 953–963.CrossRefGoogle Scholar
  36. Rubec, P. J., J. C. W. Bexley, H. Norris, M. S. Coyne, M. E. Monaco, S. G. Smith and J. S Ault (1999): Suitability modeling to delineate habitat essential to sustainable fisheries. p. 108–133. In Fish Habitat: Essential Fish Habitat and Rehabilitation, American Fisheries Society, Symposium 22, ed. by L. Benaka, American Fisheries Society, Bethesda, Maryland, 459 pp.Google Scholar
  37. Sakamoto, Y., M. Ishiguro and G. Kitagawa (1986): Akaike Information Statistics. KTK Scientific Publishers/D. Reidel Publishing, Tokyo/Dordrecht.Google Scholar
  38. Sun, C. H., F. S. Chiang and E. T. Soac (2006): The effects of El Niño on the mackerel purse-seine fishery harvests in Taiwan: An analysis integrating the barometric readings and sea surface temperature. Ecol. Econ., 56, 268–279.CrossRefGoogle Scholar
  39. Tang, Q. S. (2006): Marine Biology Resources and Habitat Environments in the EEZ of China. Science Press, Beijing, 1237 pp. (in Chinese).Google Scholar
  40. Terrel, J. W. (1984): Biological Report 85 (6). In Proceedings of the Workshop: Fish Habitat Suitability Index Models, U.S. Fish and Wildlife Service.Google Scholar
  41. US Fish and Wildlife Service (1980a): Habitat evaluation procedures (HEP). Ecological Service Manual 102. Washington, D.C.Google Scholar
  42. US Fish and Wildlife Service (1980b): Standards for the development of habitat suitability index models. Ecological Service Manual 103. Washington, D.C.Google Scholar
  43. Van, D. V., R. Dapper and J. I. J. Witte (2001): The nursery function of the intertidal areas in the western Wadden Sea for 0-group sole Solea solea. J. Sea Res., 45, 271–327.CrossRefGoogle Scholar
  44. Van der Lee, G. E. M., D. T. Van der Molen, H. F. P. Van den Boogaard and H. Van der Klis (2006): Uncertainty analysis of a spatial habitat suitability model and implications for ecological management of water bodies. Landscape Ecology, 21(7), 1019–1032.CrossRefGoogle Scholar
  45. Wakeley, J. S. (1988): A method to create simplified versions of existing habitat suitability index (HSI) models. Environmental Management, 1, 79–83.CrossRefGoogle Scholar
  46. Wang, Y. J. and Q. Liu (2006): Comparison of Akaike information criterion (AIC) and Bayesian information criterion (BIC) in selection of stock-recruitment relationships. Fish. Res., 77(2), 220–225.CrossRefGoogle Scholar
  47. Watanabe, C., A. Yatsu and Y. Watanabe (2000): Changes in growth with fluctuation of Chub mackerel abundance in the Pacific waters off central Japan from 1970 to 1997. PICES, Report 20, Report of 2001 BASS/MODEL, MONITOR and REX Workshops, and the 2002 MODEL/REX Workshop, p. 60–62.Google Scholar
  48. Yatsu, A., T. Watanabe, M. Ishida, H. Sugisaki and L. D. Jacobson (2005): Environmental effects on recruitment and productivity of Japanese sardine Sardinops melanostictus and Chub mackerel Scomber japonicus with recommendations for management. Fish. Oceanogr., 14, 263–278.CrossRefGoogle Scholar
  49. Yatsuia, A., T. Mitana, C. Watnabe, H. Nishida, A. Kawabata and H. Matuuda (2002): Current stock status and management of Chub mackerel, Scomber japonicus, along the Pacific coast of Japan—an example of allowable biological catch determination. Fish. Sci., 68(Suppl. I), 93–96.CrossRefGoogle Scholar
  50. Yoshiaki, H., Y. Mari, O. Seiji and J. Oshita (2005): Stock assessment of Tsushima Current Chub mackerel stock in 2004. https://doi.org/abchan.job.affrc.go.jp/digests16/details (in Japanese).
  51. Zagaglia, C. R., J. A. Lorenzzetti and J. L. Stech (2004): Remote sensing data and longline catches of yellowfin tuna (Thunnus albacares) in the equatorial Atlantic. Remote Sensing of Environment., 93(1–2), 267–281.CrossRefGoogle Scholar
  52. Zainuddin, M., K. Hidetada, K. Saitoh and S. Saitoh (2006): Using muti-sensor satellite remote sensing and catch data to detect ocean hot spots for albacore (Thunnus alalunga) in the northwestern North pacific. Deep-Sea Res. II, 53, 419–431.CrossRefGoogle Scholar
  53. Zhang, H. L., Y. D. Zhou and G. Z. Yao (2007): Analysis on the utilization of resources in small scale traditional lighting seining fisheries of Zhejiang Province. Mar. Fish., 29, 174–178.Google Scholar
  54. Zhang, T. Y., Q. Q. Shao and C. H. Zhou (2001): Application of satellite altimeter data in fishery stock assessment. Fish. Sci., 20(16), 4–8.Google Scholar
  55. Zheng, B., X. J. Chen and G. Li (2008): Relationship between the resource and fishing ground of Pnunmatophorus japonicus and environmental factors based on GAM and GLM models in the East China Sea and the Yellow Sea. Journal of Fisheries of China, 32(3), 379–386.Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  • Xinjun Chen
    • 1
    • 2
    Email author
  • Gang Li
    • 1
    • 2
  • Bo Feng
    • 1
    • 3
  • Siquan Tian
    • 1
    • 2
  1. 1.College of Marine Sciences of Shanghai Ocean UniversityShanghaiChina
  2. 2.The Key Laboratory of Shanghai Education Commission for Oceanic Fisheries Resources ExploitationShanghaiChina
  3. 3.Fisheries College of Guangdong Ocean UniversityZhanjiangChina

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