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Chinese Journal of Applied Ecology ›› 2017, Vol. 28 ›› Issue (6): 2063-2072.doi: 10.13287/j.1001-9332.201706.006

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Application of species distribution models in the prediction of marine potential habitat: A review

YANG Xiao-long1, YANG Chao-jie1, HU Cheng-ye1, ZHANG Xiu-mei1,2*   

  1. 1Ministry of Education Key Laboratory of Mariculture, Ocean University of China, Qingdao 266003, Shandong, China
    2Function Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266003, Shandong, China
  • Received:2016-09-28 Published:2017-06-18
  • Contact: *E-mail:gaozhang@ouc.edu.cn
  • Supported by:
    This work was supported by the National Program on Key Basic Research Project (2015CB453302) and the National Natural Science Foundation of China (41676153)

Abstract: The relationship between the distribution of halobios and environmental variables has been a focus of present research in marine ecology. Species distribution models (SDMs) have been widely employed to predict the distribution patterns and potential habitat suitability assessments of marine species and provide an efficient approach for marine biodiversity conservation, invasive species prevention, and fishery management. SDMs mainly include habitat suitability index models, mechanism models, and statistical models. In this paper, the theoretical basis of SDMs was firstly concluded and summarized. Next, the exploitation and case-studies of SDMs, especially the statistical models, for predicting potential distribution of marine species were reviewed. Then, comparisons of various methods for variable selection and model validation were made. Conclusions could be drawn that Akaike information criterion showed excellent performance when it came to variable selection, while Kappa coefficient and Area Under receiver operating character Curve (AUC) were widely used in relation to model validation. Finally, problems and prospects of SDMs were discussed. With the development of research on physiological characteristics, using mechanism models to predict potential habitats of halobios would become a trend.