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Estimating seasonal habitat suitability for migratory species in the Bohai Sea and Yellow Sea:A case study of Tanaka's snailfish(Liparis tanakae)

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Acta Oceanologica Sinica 2022年第6期41卷 22-30页

作者： Yunlong Chen Xiujuan Shan Dingyong Zeng Harry Gorfine Yinfeng Xu Qiang Wu Tao Yang Xianshi Jin Key Laboratory of Sustainable Development of Marine Fisheries Ministry of Agriculture and Rural AffairsQingdao266071China Laboratory for Marine Fisheries Science and Food Production Processes Pilot National Laboratory for Marine Science and Technology(Qingdao)Qingdao 266237China State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of OceanographyMinistry of Natural ResourcesHangzhou 310012China School of Biosciences The University of MelbourneParkvilleVictoria 3010Australia

Acquiring a comprehensive and accurate understanding of habitat preference is essential for species conservation and fishery management,especially for mobile species that migrate seasonally.Presence and absence data from field surveys are recommended when available due to their high reliability.Using field survey data,we investigated seasonal habitat suitability requirements for Tanaka's snailfish(Liparis tanakae)in the Bohai Sea and Yellow Sea(BSYS)via a machine-learning method,random forests(RFs).Five environmental and biologically relevant variables(bottom temperature,bottom salinity,current velocity,depth and distance to shore)were used to build the ecological niches between the presence/absence data and suitable habitat.In addition,the degree to which false absence data might impact model performance was evaluated.Our results indicated that RFs provided accurate predictions,with seasonal habitat suitability maps of L.tanakae differing substantially.Bottom temperature and salinity were identified as important factors influencing the distribution of L.tanakae.False absence data were found to have negative effects on model performance and the decrease in evaluation metrics was usually significant(Prange,our study provides a baseline for L.tanakae that can be further applied in ecosystem modelling and fishery management in the BSYS.

关键词： species distribution model fishery-independent survey model performance range prediction coldtemperate species

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