Journal of Tropical Oceanography ›› 2025, Vol. 44 ›› Issue (5): 77-85.doi: 10.11978/2024241CSTR: 32234.14.2024241

• Marine Biology • Previous Articles     Next Articles

MaxEnt model predicting potential distribution of Trichiurus japonicus in the coastal waters of China under global climate change

FENG Zhanquan(), SU Maoliang, DU Yuanyuan, ZHONG Youling, ZHANG Junbin()   

  1. Shenzhen Key Laboratory of Marine Bioresource & Eco-Environmental Science, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, China
  • Received:2024-12-28 Revised:2025-03-18 Online:2025-09-10 Published:2025-10-14
  • Contact: ZHANG Junbin
  • Supported by:
    Sustainable Development Program of Shenzhen(2023N066); National Natural Science Foundation of China(41976108)

Abstract:

This study predicted the potential distribution of Trichiurus japonicus along China’s coastal waters under the influence of global climate change, using the maximum entropy (MaxEnt) model integrated with Geographic Information System (GIS) techniques. Species occurrence data (70 valid points) were obtained from Global Biodiversity Information Facility (GBIF) and FishBase, while environmental variables were sourced from Bio-ORACLE. Model performance was evaluated using the Receiver Operating Characteristic (ROC) curve, yielding a high accuracy (0.913) of Area Under the Curve (AUC). Our results indicated that suitable habitats for T. japonicus are distributed across China’s four major marine regions, with medium-to-high suitability areas accounting for 11.96% of the total predicted area. Temperature, chlorophyll concentration, and primary productivity were identified as key environmental factors affecting hairtail distribution. Model projections under different shared socioeconomic pathway (SSP) scenarios suggested an expansion of suitable habitats with a potential northward shift towards the Yellow Sea and Bohai Sea, while contracting in the waters of South China such as Beibu Gulf in the future.

Key words: Trichiurus japonicus, MaxEnt model, marine environmental factors, potential habitat, global climate change

CLC Number: 

  • P735.121