Habitat suitability index model for deep-water mud shrimp, Solenocera melantho in the East China Sea

文献类型： 外文期刊

第一作者： Li, Huiyu

作者： Li, Huiyu;Jin, Yan;Ling, Jianzhong;Liu, Zunlei;Cheng, Jiahua;Li, Huiyu;Jin, Yan;Ling, Jianzhong;Liu, Zunlei;Cheng, Jiahua

作者机构：

关键词： Habitat Suitability Index (HSI); Species distribution; Environmental variables; Solenocera melantho

期刊名称：REGIONAL STUDIES IN MARINE SCIENCE （ 影响因子：2.4； 五年影响因子：2.4 ）

ISSN： 2352-4855

年卷期： 2025 年 90 卷

页码：

收录情况： SCI

摘要： Habitat and distribution are essential for comprehending the structure and dynamics of marine ecosystems, which is crucial for effective management and conservation research. Habitat Suitability Index (HSI) is a useful method for detecting and predicting fishing ground formation based on habitat quality. We developed an HSI model to evaluate the variability of suitable habitat for deep-water mud shrimp, Solenocera melantho, using fishery-dependent data and environmental data from bottom trawl in the East China Sea in 2017. The weight of environmental variables on the HSI model was determined by a boosted regression tree (BRT). Of the two empirical HSI models, the arithmetic mean model (AMM) performs better than the geometric mean model (GMM) according to the Akaike information criterion (AIC) analysis. The output of the AMM-HSI model revealed that the suitable habitats varied seasonally, mainly distributed offshore areas, and were characterized by an inshore expansion in fall. Suitable Indices (SI) indicated that the seasonal habitat patterns of S. melantho may be primarily driven by environmental variables, with a suitable range of temperature between 11.4 degrees C and 25.6 degrees C, salinity between 33.3 and 34.6, depth between 52 m and 115 m, and with silty clay as the most preferred sediment type. Additionally, the suitable habitat distribution matches well with the observed abundance, as the HSI level is positively correlated to abundance. Results imply that the HSI model provides a reliable prediction of the suitable habitat for the deep-water mud shrimp with respect to changes in habitat variables. Moreover, several points that may improve the performance of the HSI model are also suggested.

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