Volume 40 Issue 6
Jun.  2021
Turn off MathJax
Article Contents
Wenbin Zhu, Kaner Lu, Zhanhui Lu, Qian Dai, Zhenghua Li, Yongdong Zhou, Siqi Huang, Haichen Zhu, Guocheng Cui. Implementing geostatistical analysis to study spatio-temporal distribution patterns of swimming crabs (Portunus trituberculatus)[J]. Acta Oceanologica Sinica, 2021, 40(6): 67-74. doi: 10.1007/s13131-021-1788-0
Citation: Wenbin Zhu, Kaner Lu, Zhanhui Lu, Qian Dai, Zhenghua Li, Yongdong Zhou, Siqi Huang, Haichen Zhu, Guocheng Cui. Implementing geostatistical analysis to study spatio-temporal distribution patterns of swimming crabs (Portunus trituberculatus)[J]. Acta Oceanologica Sinica, 2021, 40(6): 67-74. doi: 10.1007/s13131-021-1788-0

Implementing geostatistical analysis to study spatio-temporal distribution patterns of swimming crabs (Portunus trituberculatus)

doi: 10.1007/s13131-021-1788-0
More Information
  • Corresponding author: E-mail: vinson873@126.com
  • Received Date: 2020-05-15
  • Accepted Date: 2020-06-29
  • Available Online: 2021-07-07
  • Publish Date: 2021-06-01
  • This study attempted to compare the performance of local polynomial interpolation, inverse distance weighted interpolation, and ordinary kriging in studying distribution patterns of swimming crabs. Cross-validation was used to select the optimum method to get distribution results, and kriging was used for making spatial variability analysis. Data were collected from 87 sampling stations in November of 2015 (autumn) and February (winter), May (spring) and August (summer) of 2016. Results indicate that swimming crabs widely distributed in autumn and summer: in the summer, they were more spatially independent, and resources in each sampling station varied a lot; in the winter and spring, the abundance of crabs was much lower, but the individual crab size was bigger, and they showed the patchy and more concentrative distribution pattern, which means they were more spatially dependent. Distribution patterns were in accordance with ecological migration features of swimming crabs, which were affected by the changing marine environment. This study could infer that it is applicable to study crab fishery or even other crustacean species using geostatistical analysis. It not only helps practitioners have a better understanding of how swimming crabs migrate from season to season, but also assists researchers in carrying out a more comprehensive assessment of the fishery. Therefore, it may facilitate advancing the implementation in the pilot quota management program of swimming crabs in northern Zhejiang fishing grounds.
  • loading
  • [1]
    Amiri K, Shabanipour N, Eagderi S. 2017. Using kriging and co-kriging to predict distributional areas of Kilka species (Clupeonella spp.) in the southern Caspian Sea. International Journal of Aquatic Biology, 5(2): 108–113
    [2]
    Burrough P A, McDonnell R A, Lloyd C D. 1986. Principles of Geographical Information Systems. Oxford: Oxford University Press, 163
    [3]
    Chang K T. 2006. Introduction to Geographic Information Systems. 3rd ed. Boston: McGraw-Hill Higher Education, 331–341
    [4]
    Chen C T A, Sheu D D. 2006. Does the Taiwan Warm Current originate in the Taiwan Strait in wintertime?. Journal of Geophysical Research: Oceans, 111(C4): C04005
    [5]
    Cong Xuri, Li Fan, Lü Zhengbo, et al. 2015. Community structure of crab in Laizhou Bay. Marine Fisheries (in Chinese), 37(5): 419–426
    [6]
    Curtarelli M, Leão J, Ogashawara I, et al. 2015. Assessment of spatial interpolation methods to map the bathymetry of an Amazonian hydroelectric reservoir to aid in decision making for water management. ISPRS International Journal of Geo-Information, 4(1): 220–235. doi: 10.3390/ijgi4010220
    [7]
    Dubrule O. 1983. Cross validation of kriging in a unique neighborhood. Journal of the International Association for Mathematical Geology, 15(6): 687–699. doi: 10.1007/BF01033232
    [8]
    Fisheries Bureau of Ministry of Agriculture and Rural Affairs of China. 2012. China Fishery Statistical Yearbook of 2012 (in Chinese). Beijing: China Agriculture Press, 39–43
    [9]
    Fisheries Bureau of Ministry of Agriculture and Rural Affairs of China. 2013. China Fishery Statistical Yearbook of 2013 (in Chinese). Beijing: China Agriculture Press, 44–49
    [10]
    Fisheries Bureau of Ministry of Agriculture and Rural Affairs of China. 2014. China Fishery Statistical Yearbook of 2014 (in Chinese). Beijing: China Agriculture Press, 44–49
    [11]
    Fisheries Bureau of Ministry of Agriculture and Rural Affairs of China. 2015. China Fishery Statistical Yearbook of 2015 (in Chinese). Beijing: China Agriculture Press, 46–48
    [12]
    Fisheries Bureau of Ministry of Agriculture and Rural Affairs of China. 2016. China Fishery Statistical Yearbook of 2016 (in Chinese). Beijing: China Agriculture Press, 46–49
    [13]
    Fisheries Bureau of Ministry of Agriculture and Rural Affairs of China. 2017. China Fishery Statistical Yearbook of 2017 (in Chinese). Beijing: China Agriculture Press, 40–43
    [14]
    Fisheries Bureau of Ministry of Agriculture and Rural Affairs of China. 2018. China Fishery Statistical Yearbook of 2018 (in Chinese). Beijing: China Agriculture Press, 38–43
    [15]
    Fisheries Bureau of Ministry of Agriculture and Rural Affairs of China. 2019. China Fishery Statistical Yearbook of 2019 (in Chinese). Beijing: China Agriculture Press, 38–43.
    [16]
    Gao Baoquan, Liu Ping, Li Jian, et al. 2012. A preliminary study on relative fatness of Portunus trituberculatus. Periodical of Ocean University of China (in Chinese), 42(S1): 51–53
    [17]
    General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, China National Standardization Management Committee. 2007. GB/T 12763.6–2007 Specifications for Oceanographic Survey: Part 6. Marine Biological Survey (in Chinese). Beijing: Standards Press of China, 1–5
    [18]
    Johnston K, Ver Hoef J M, Krivoruchko K, et al. 2001. Using ArcGIS Geostatistical Analyst. Redlands: Esri Press, 53–58
    [19]
    Kamble K H, Aggrawal P. 2011. Geostatistical analyst for deciding optimal interpolation strategies for delineating compact zones. International Journal of Geosciences, 2(4): 585–596. doi: 10.4236/ijg.2011.24061
    [20]
    Li H, Reynolds J F. 1995. On definition and quantification of heterogeneity. Oikos, 73(2): 280–284. doi: 10.2307/3545921
    [21]
    Li Jiansheng, Hu Fen, Cheng Jiahua. 2007. Distributions of fish eggs and juveniles and relations between surface layer water temperature and salinity of the Yangtze Estuary water area in spring. Marine Sciences (in Chinese), 31(4): 16–21
    [22]
    Liang Jinling, Zhang Shouyu, Wang Zhenghua, et al. 2016. Community structure and diversity of crabs in Ma'an Archipelago area. Chinese Journal of Ecology (in Chinese), 35(2): 431–440
    [23]
    Liao Yongyan, Xiao Zhanpeng, Yuan Yaoyang. 2008. Temperature tolerance of larva and juvenile of Portunus trituberculatus. Acta Hydrobiologica Sinica (in Chinese), 32(4): 534–543. doi: 10.3724/SP.J.1035.2008.00534
    [24]
    Maravelias C D, Haralabous J. 1995. Spatial distribution of herring in the Orkney/Shetland area (northern North Sea): a geostatistical analysis. Netherlands Journal of Sea Research, 34(4): 319–329. doi: 10.1016/0077-7579(95)90041-1
    [25]
    Mask A C, O'Brien J J, Preller R. 1998. Wind-driven effects on the Yellow Sea Warm Current. Journal of Geophysical Research: Oceans, 103(C13): 30713–30729. doi: 10.1029/1998JC900007
    [26]
    McBratney A B, Webster R. 1986. Choosing functions for semi-variograms of soil properties and fitting them to sampling estimates. Journal of Soil Science, 37(4): 617–639. doi: 10.1111/j.1365-2389.1986.tb00392.x
    [27]
    Oliver M A, Webster R. 2014. A tutorial guide to geostatistics: Computing and modelling variograms and kriging. CATENA, 113: 56–69. doi: 10.1016/j.catena.2013.09.006
    [28]
    Simard Y, Lavoie D, Saucier F J. 2002. Channel head dynamics: capelin (Mallotus villosus) aggregation in the tidally driven upwelling system of the Saguenay St. Lawrence Marine Park's whale feeding ground. Canadian Journal of Fisheries and Aquatic Sciences, 59(2): 197–210
    [29]
    Song Haitang, Ding Yaoping, Xu Yuanjian. 1989. Migration distributions and composition features of swimming crabs in coastal northern Zhejiang waters. Marine Science Bulletin (in Chinese), 8(1): 66–74
    [30]
    Song Haitang, Yu Cungen, Yao Guangzhan, et al. 2005. Biomass variation and distribution of Penaeus japonicus in the East China Sea. Donghai Marine Science (in Chinese), 23(1): 48–53
    [31]
    Song Haitang, Yu Cungen, Xue Lijian. 2012. Fishery Biology of Commercial Shrimp and Crab Species in the East China Sea. Beijing: China Ocean Press, 15–30
    [32]
    Srinivasan B V, Duraiswami R, Murtugudde R. 2010. Efficient kriging for real-time spatio-temporal interpolation. In: Proceedings of the 20th Conference on Probability and Statistics in the Atmospheric Sciences. Atlanta GA: American Meteorological Society, 228–235
    [33]
    Teague W J, Jacobs G A. 2000. Current observations on the development of the Yellow Sea Warm Current. Journal of Geophysical Research: Oceans, 105(C2): 3401–3411. doi: 10.1029/1999JC900301
    [34]
    Tobler W R. 1970. A computer movie simulating urban growth in the Detroit region. Economic Geography, 46(S1): 234–240
    [35]
    Wu Qiang, Wang Jun, Chen Ruisheng, et al. 2016. Biological characteristics, temporal-spatial distribution of Portunus trituberculatus and relationships between its density and impact factors in Laizhou Bay, Bohai Sea, China. Chinese Journal of Applied Ecology (in Chinese), 27(6): 1993–2001
    [36]
    Xie Zhouquan, Qiu Shengyao, Hou Chaowei, et al. 2014. Recapture rates of swimming crabs (Portunus trituberculatus) released in the waters off southern Shandong peninsula. Journal of Fishery Sciences of China (in Chinese), 21(5): 1000–1009
    [37]
    Xu Kaida, Zhou Yongdong, Zhu Wenbin, et al. 2018. Stocking effectiveness of hatchery-released Portunus trituberculatus in the Dongtou sea area of Zhejiang Province. Journal of Zhejiang University (Agriculture & Life Sciences) (in Chinese), 44(3): 373–380
    [38]
    Xu Lingling, Wu Dexing, Lin Xiaopei, et al. 2009. The study of the Yellow Sea Warm Current and its seasonal variability. Journal of Hydrodynamics, 21(2): 159–165. doi: 10.1016/S1001-6058(08)60133-X
    [39]
    Yuan Wei, Jin Xianshi, Shan Xiujuan. 2016. Population biology and relationship with environmental factors of swimming crab in the Changjiang River Estuary and adjacent waters. Fisheries Science (in Chinese), 35(2): 105–110
    [40]
    Zhang Hanye, Cheng Jiahua. 2005. Geostatistical analysis on spatial patterns of small yellow croaker (Larimichthys polyactis) in the East China Sea. Journal of Fishery Sciences of China (in Chinese), 12(4): 419–423
    [41]
    Zhang Hongliang, Zhang Long, Chen Feng, et al. 2013. Analysis of crab community characteristics in South Zhejiang coastal areas during spring. Journal of Fishery Sciences of China (in Chinese), 20(5): 1050–1056. doi: 10.3724/SP.J.1118.2013.01050
    [42]
    Zhang Qiuhua, Cheng Jiahua, Xu Hanxiang, et al. 2007. Fisher Resources and the Sustainable Utilization in the East China Sea (in Chinese). Shanghai: Fudan University Press, 1–30
    [43]
    Zheng Xianzhi, Yu Cungen, Chen Xiaoqing, et al. 2012. Species composition and spatio-temporal distribution of crabs in Zhoushan fishing ground and its adjacent areas. Oceanologia et Limnologia Sinica (in Chinese), 43(1): 147–153
    [44]
    Zhu Jianrong, Chen Changsheng, Ding Pingxing, et al. 2004. Does the Taiwan warm current exist in winter?. Geophysical Research Letters, 31(12): L12302
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(3)  / Tables(3)

    Article Metrics

    Article views (190) PDF downloads(10) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return