Effects of spatio-temporal and environmental factors on distribution and abundance of wintering anchovy Engraulis japonicus in central and southern Yellow Sea

Mingxiang Niu; Xianshi Jin; Xiansen Li; Jun Wang

doi:10.1007/s00343-014-3166-7

Your Location：

Home >

Browse articles >

Effects of spatio-temporal and environmental factors on distribution and abundance of wintering anchovy Engraulis japonicus in central and southern Yellow Sea

Updated：2023-05-16

- Effects of spatio-temporal and environmental factors on distribution and abundance of wintering anchovy Engraulis japonicus in central and southern Yellow Sea
- Journal of Oceanology and Limnology Vol. 32, Issue 3, Pages: 565-575(2014)
- Affiliations：
  
  1. Key Laboratory of Sustainable Development of Marine Fisheries Ministry of Agriculture
  2. Key Laboratory for Fishery Resources and Eco-environment
  3. ,Shandong Province
  4. Yellow Sea Fisheries Research Institute Chinese Academy of Fishery Sciences
- Author bio：
- Funds：
- DOI：10.1007/s00343-014-3166-7
  CLC：
- Online First：04 May 2014，
  
  Published：2014
- Accepted：
Scan QR Code
Niu, M., Jin, X., Li, X. et al. Effects of spatio-temporal and environmental factors on distribution and abundance of wintering anchovy Engraulis japonicus in central and southern Yellow Sea., Chin. J. Ocean. Limnol. 32, 565–575 (2014). https://doi.org/10.1007/s00343-014-3166-7
DOI：

Niu, M., Jin, X., Li, X. et al. Effects of spatio-temporal and environmental factors on distribution and abundance of wintering anchovy Engraulis japonicus in central and southern Yellow Sea., Chin. J. Ocean. Limnol. 32, 565–575 (2014). https://doi.org/10.1007/s00343-014-3166-7 DOI：

摘要

Abstract

We investigated the spatio-temporal and environmental factors that affect the distribution and abundance of wintering anchovy and quantifies the influences of these factors. Generalized additive models (GAMs) were developed to examine the variation in species distribution and abundance with a set of spatiotemporal and oceanographic factors

using data collected by bottom trawl surveys and remote sensing in the central and southern Yellow Sea during 2000–2011. The final model accounted for 28.21% and 41.03% of the variance in anchovy distribution and abundance

respectively. The results of a two-step GAM showed that hour

longitude

latitude

temperature gradient (TGR)

and chlorophyll a (Chl-a) concentration best explained the anchovy distribution (presence/absence) and that a model including year

longitude

latitude

depth

sea surface temperature (SST)

and TGR best described anchovy abundance (given presence). Longitude and latitude were the most important factors affecting both distribution and abundance

but the area of high abundance tended to be east and south of the area where anchovy were most likely to be present. Hour had a significant effect on distribution

but year was more important for anchovy abundance

indicating that the anchovy catch ratio varied across the day but abundance had an apparent interannual variation. With respect to environmental factors

TGR and Chl-a concentration had effects on distribution

while depth

SST

and TGR affected abundance. Changes in SST between two successive years or between any year and the 2000–2011 mean were not associated with changes in anchovy distribution or abundance. This finding indicated that short- and long-term water temperature changes during 2000–2011 were not of sufficient magnitude to give rise to variation in wintering anchovy distribution or abundance in the study area. The results of this study have important implications for fisheries management.

关键词

Keywords

references

Anonymous. 1997. S-PLUS 4 Guide to Statistics. Data Analysis Products Division, MathSoft, Seattle, WA.

Bellido J M, Pierce G J, Wang J. 2001. Modelling intra-annual variation in abundance of squid Loligo forbesi in Scottish waters using generalized additive models. Fisheries Research, 52: 23–29.

Chen J F, Ma S S, Wang W L. 1997. Variation characteristics of three large water systems influencing the behavior and distribution of anchovy Engraulis japonicus in the Yellow Sea and East China Sea in autumn and winter. Marine Fisheries Research, 18(1): 54–59. (in Chinese with English abstract)

Ciannelli L, Chan K S, Bailey K M, Stenseth N C. 2004. Non additive effects of the environment on the survival of a large marine fish population. Ecology, 85: 3 418–3 427.

Cushing D H. 1990. Plankton production and year-class strength in fish populations-an update of the match/mismatch hypothesis. Advances in Marine Biology, 26: 249–293.

Damalas D, Megalofonou P, Apostolopoulou M. 2007. Environmental, spatial, temporal and operational effects on swordfish (Xiphias gladius) catch rates of eastern Mediterranean Sea longline fisheries. Fisheries Research, 84: 233–246.

Dingsor G E, Ciannelli L, Chan K S, Ottersen G, Stenseth N C. 2007. Density dependence and density independence during the early life stages of four marine fish stocks. Ecology, 88: 625–634.

Fan W. 2004. A Study on Application of Satellite Remote Sensing in Marine Fishing-Ground Analysis and Fishing Condition Forecasting—A Case of Ommastrephes bartrami Fisheries in Northwest Pacific Ocean. PhD thesis. East China Normal University, Shanghai. (in Chinese with English abstract)

Fielding A H, Haworth P F. 1995. Testing the generality of a bird-habitat models. Conservation Biology, 9: 1 466–1 481.

Franca S, Vasconcelos R P, Fonseca V F, Tanner S E, Santos P R, Costa M J, Cabral H N. 2012. Predicting fish community properties within estuaries: influence of habitat type and other environmental features. Estuarine, Coastal and Shelf Science, 107: 22–31.

Friedland K D, Hare J A. 2007. Long-term trends and regime shifts in sea surface temperature on the continental shelf of the northeast United States. Continental Shelf Research, 27: 2 313–2 328.

Ge R F, Guo J S, Yu F, Zhang Z X, Diao X Y, Guo B H. 2006. Classification of vertical temperature structure and thermocline analysis in the Yellow Sea and East China Sea shelf sea areas. Advances in Marine Science, 24(4): 424–435. (in Chinese with English abstract)

Gordon H R, Morel A. 1983. Remote assessment of ocean color for interpretation of satellite visible imagery. A review lecture notes on coastal and estuarine studies. Springer-verlag, New York. p.114.

Hastie T J. 1992. Generalized additive models. In: Chambers J M, Hastie T J eds. Statistical Models in S. Wadsworth and Brooks, Pacific Grove.

Hastie T, Tibshirani R. 1990. Generalized Additive Models. Chapman and Hall, London. p.352.

Huang D J, Zhang T, Zhou F. 2010. Sea-surface temperature fronts in the Yellow and East China Seas from TRMM microwave imager data. Deep-Sea Researc h II, 57: 1 017–1 024.

Iversen S A, Zhu D, Johannessen A, Toresen R. 1993. Stock size, distribution and biology of anchovy in the Yellow Sea and East China Sea. Fisheries Research, 16: 147–163.

Jin X S, Zhao X Y, Meng T X, Cui Y eds. 2005. Biological Resources and Habitat in the Yellow Sea and Bohai Sea. Science Press, Beijing, China. p.262–274. (in Chinese)

Jin X S. 1996. Ecology and population dynamics of small yellow croaker (Pseudosciaena polyactios Bleeker) in the Yellow Sea. Journal of Fishery Sciences of China, 3(1): 32–46. (in Chinese with English abstract)

Kooij J, Scott B, Mackinson S. 2008. The effects of environmental factors on daytime sandeel distribution and abundance on the Dogger Bank. Journal of Sea Research, 60: 201–209.

Li Y, Zhao X Y, Zhang T, Li X S, Wei H. 2007. Wintering migration and distribution of anchovy in the Yellow Sea and its relation to physical environment. Marine Fisheries Research, 28(2): 104–112. (in Chinese with English abstract)

Ma S S. 1987. The hydrologic characteristics of the southern Huanghai Sea and East Sea during winter and their relations to fishing grounds of anchovy. Marine Forecasts, 4(4): 37–44. (in Chinese with English abstract)

Ma S S. 1989. Relationship between distribution and hydrological conditions of the wintering anchovy in Yellow Sea and East China Sea. Journal of Fisheries of China, 13(3): 201–206. (in Chinese with English abstract)

Maravelias C D. 1997. Trends in abundance and geographic distribution of North Sea herring in relation to environmental factors. Marine Ecology Progress Series. 159: 151–164.

Maravelias C D. 1999. Habitat selection and clustering of a pelagic fish: effects of topography and bathymetry on species dynamics. Canadian Journal of Fisheries and Aquatic Sciences, 56(3): 437–450.

Niu M X, Li X S, Zhao G X. 2012. Spatial distribution of wintering Engraulis japonicus and its relationship with the inter-annual variations of water temperature in central and southern Yellow Sea. Chinese Journal of Applied Ecology, 23(2): 552–558. (in Chinese with English abstract)

Overholtz W J, Hare J A, Keith C M. 2011. Impacts of interannual environmental forcing and climate change on the distribution of Atlantic Mackerel on the U.S. Northeast Continental Shelf. Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, 3: 219–232

Ren Y P, Gao T X, Liu Q, Xue Y. 2001. Study on the population structure and reproduction of Pseudosciaena plyactis in Southern Yellow Sea. Transactions of Oceanology and Limnology, 1: 41–46. (in Chinese with English abstract)

Sissenwine M P. 1984. Why do fish populations vary? In: May R M ed. Exploitation of Marine Communities. Springer, Heidelberg. p.59–94.

Stenseth N C, Mysterud A, Ottersen G, Hurrell J W, Chan K S, Lima M. 2002. Ecological effects of climate fluctuations. Science, 297: 1 292–1 296.

Stewart R H. 1985. Methods of Satellite Oceanography. Scripps Institution of Oceanography. EUA, San Diego, CA. p.360.

Su J L, Yuan Y C, Jiang J Z. 1994. Advances in physical oceanography in China since the establishment of the PRC. Acta Geophysica Sinica, 37(Supp.1): 85–95. (in Chinese with English abstract)

Su N J, Sun C L, Punt A E, Yeh S Z, Dinardo G. 2011. Modelling the impacts of environmental variation on the distribution of blue marlin, Makaira nigricans, in the Pacific Ocean. ICES Journal of Marine Science, 68(6): 1 072–1 080.

Swartzman G, Stuetzle W, Kulman K, Powojowski M. 1994. Relating the distribution of Pollock schools in the Bering Sea to environmental factors. ICES Journal of Marine Science, 51(4): 481–492.

Tang Q S. 2000. The new age of China-GLOBEC study. Newsletter of the North Pacific Marine Science Organization, 8(1): 28–29.

Tian S Q, Chen X J, Chen Y, Xu L X, Dai X J. 2009. Standardizing CPUE of Ommastrephes bartramii for Chinese squid-jigging fishery in Northwest Pacific Ocean. Chinese Journal of Oceanology and Limnology, 27(4): 729–739.

Wang Y B, Zheng J, Wang Y, Zheng X Z. 2012. Spatiotemporal factors affecting fish harvest and their use in estimating the monthly yield of single otter trawls in Putuo district of Zhoushan, China. Chinese Journal of Oceanology and Limnology, 30(4): 580–586.

Wei S, Jiang W M. 1992. Study on food web of fishes in the Yellow Sea. Oceanologia et Limnologia Sinica, 23(2):182–192. (in Chinese with English abstract)

Yamaguchi H, Kim H C, Son Y B, Kim S W, Okamura K, Kiyomoto Y, Ishizaka J. 2012. Seasonal and summer interannual variations of SeaWiFS chlorophyll a in the Yellow Sea and East China Sea. Progress in Oceanography, 105: 22–29.

Zhang J. 2011. Estimation of the Anchovy Resources in the Yellow Sea Based on Acoustic Data Post-Processing System. MSc thesis, Shanghai Ocean University, Shanghai. (in Chinese with English abstract)

Zhao X Y, Hamre J, Li F G, Tang Q S. 2003. Recruitment, sustainable yield and possible ecological consequence of the sharp decline of the anchovy (Engraulis japonicus) stock in the Yellow Sea in the 1990s. Fisheries Oceanography, 12(4/5): 495–501.

Zhao X Y. 2001. The acoustic survey of anchovy in the Yellow Sea in February 1999, with emphasis on the reconstruction of the size structure of the anchovy population. Marine Fisheries Research China, 22: 40–44.

Zhao X Y. 2006. Population Dynamic Characteristics and Sustainable Utilization of the Anchovy Stock in the Yellow Sea. PhD thesis. Ocean University of China, Qingdao. (in Chinese with English abstract)

Zhu D S, Iversen S A eds. 1990. Anchovy and Other Fish Resources in the Yellow Sea and East China Sea. Marine Fisheries Research China, 11: 1–141. (in Chinese with English abstract)

Zou E M, Xiong X J, Guo B H, Lin K. 2001. Characteristics and seasonal variations of the thermocline and halocline in the Huanghai Sea and the East China Sea. Journal of Oceanography of Huanghai & Bohai Seas, 19(3): 8–18. (in Chinese with English abstract)

Views

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

Variation in the distribution of wintering anchovy Engraulis japonicus and its relationship with water temperature in the central and southern Yellow Sea

Scyphozoa, Hydrozoa, and Ctenophora biodiversity and distribution patterns in the Xisha Islands revealed by environmental DNA metabarcoding

Zooplankton community composition in summers of 2021 and 2022 in the northern East China Sea and Yellow Sea, and their linkage with abiotic and biotic factors

Steady increase in water clarity in Jiaozhou Bay in the Yellow Sea from 2000 to 2018: Observations from MODIS

Seasonal and spatial variations of macrobenthic community in intertidal Sargassum field off Naozhou Island, South China Sea

Related Author

Mingxiang Niu

Jun Wang

Zhijun DONG

Jianmin ZHAO

Wenjing ZHANG

Saijun PENG

Lei WANG

Lijing YE

Related Institution

Shandong Provincial Key Laboratory of Fishery Resources and Ecological Environment (SFREE)

Laboratory for Marine Ecology and Environmental Science Qingdao National Laboratory for Marine Science and Technology

University of Chinese Academy of Sciences

Laboratory for Marine Biology and Biotechnology, Qingdao Marine Science and Technology Center

Muping Coastal Environment Research Station, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences

Address：Editorial Office of JOL, 88 Haijun Rd. Qingdao, 266000, China
Tel：+86-532-82898754 Email：jol@qdio.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09064830号-19 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰