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Chinese Journal of Applied Ecology ›› 2020, Vol. 31 ›› Issue (4): 1357-1364.doi: 10.13287/j.1001-9332.202004.038

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Establishing potential habitats of Mytilopsis sallei with Maxent niche model

MA Hong-mei1,2,3, QIN Chuan-xin2,3*,WANG Xing-qiang1 , ZHU Wen-tao2,3,YIN Cheng-hao2,3,XI Shi-gai2,3, ZUO Tao2,3, PAN Wan-ni2,3   

  1. 1College of Marine Life and Fisheries, Jiangsu Ocean University, Lianyungang 222005, Jiangsu, China;
    2South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences/Ministry of Agriculture Key Laboratory of Marine Ranching Technology, Chinese Academy of Fishery Sciences/Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Guangzhou 510300, China;
    3National Fishery Resources and Environment Dapeng Observation and Experimental Station, Shenzhen 518116, Guangdong, China.
  • Received:2019-10-21 Online:2020-04-20 Published:2020-04-20
  • Contact: *E-mail: qincx@scsfri.ac.cn
  • Supported by:
    This work was supported by the National Key Research and Development Plan Blue Granary Science and Technology Innovation Special Project (2018YFD0900905), and the Basic Scientific Research Operating Expenses of Chinese Academy of Fishery Sciences (2019HY-JC0304).

Abstract: Mytilopsis sallei, an invasive alien species, has strong reproductive ability and high adaptability. It can severely endanger biodiversity of intertidal ecosystem after invasion. The intertidal zones and oyster breeding areas in some coastal areas of Guangdong Province have been severely invaded by M. sallei. To examine the potential habitat of M. sallei in China, we established a potential habitat prediction model of M. sallei using Maxent and ArcGIS method for China and global scales. The model was verified by the method of receiver operating characteristic curve (ROC) analysis and field investigation. The results showed that M. sallei could distribute with high probabili-ty in the area between North and South America, South India in Asia, Sri Lanka, the south coast of the Yangtze River in China, and in Van Dimen Bay of the southern hemisphere. In China, M. sallei mainly distributed in coastal provinces south of Shanghai. The main environmental factors affecting the suitable distribution areas for M. sallei were water vapor pressure, temperature, and solar radiation. After ROC detection, the AUC values of both the training and testing sets were 0.996, indicating that the prediction reached an excellent level. Our results provide theoretical basis for the risk assessment and management of M. sallei, and complement the potential habitat prediction of invasive species in China.