East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China.
Key Laboratory of East China Sea Fishery Resources Exploitation, Ministry of Agriculture and Rural Affairs, Shanghai 200090, China.
Ying Yong Sheng Tai Xue Bao. 2023 Jun;34(6):1659-1668. doi: 10.13287/j.1001-9332.202306.032.
Based on data collected from research vessel cruises performed in May 2020 off the East China Sea (ECS) and the southern Yellow Sea (YS) (26°30'-35°00' N, 120°30'-127°00' E), we analyzed the shrimp community and its relationships with environmental variables by using index of relative importance, biodiversity indices, and multivariate techniques. A total of 29 species were recorded, belonging to 11 families and 19 genera. The dominant species were , , , , , , and , which together accounted for 82.9% of the total biomass and 90.8% of the total abundance of shrimps. Results of Cluster and NMDS analyses showed that three groups were identified for the shrimp community in the ECS and YS in spring, including group A (inshore of northern ECS and YS group), group B (offshore of northern ECS group) and group C (southern ECS group). ANOSIM and SIMPER analysis showed significant differences between group A and B, gourp A and C, and group B and C, with the dissimilarity of 92.2%, 95.8% and 91.6%, respectively. The typical species were . , . , . and in group A, and . in group B, and . , . , . and in group C. Significant differences were also detected in biomass, diversity index, species richness index and evenness index among groups, with significantly greater values in group C than those in A and B. Environmental variables and the substrate also displayed significant differences among groups. Results of canonical correspondence analysis showed that bottom temperature, bottom salinity, depth, and the substrate were the main environmental variables affecting spatial structure of shrimp community. Water mass characteristics and substrate type had important influences on the distribution of shrimp community in the ECS and YS in spring.
基于 2020 年 5 月在中国东海（ECS）和南黄海（YS）（26°30'-35°00' N，120°30'-127°00' E）进行的研究船巡航收集的数据，我们通过使用相对重要性指数、生物多样性指数和多元技术分析了虾类群落及其与环境变量的关系。共记录了 29 种，属于 11 科 19 属。优势种为、、、、、和，它们共占虾类总生物量的 82.9%，总丰度的 90.8%。聚类和 NMDS 分析结果表明，春季节东海和南黄海的虾类群落分为三组，包括组 A（东海和南黄海北部近岸组）、组 B（东海北部近海组）和组 C（东海南部组）。ANOSIM 和 SIMPER 分析表明，组 A 和 B、组 A 和 C、组 B 和 C 之间存在显著差异，相似度分别为 92.2%、95.8%和 91.6%。典型种为组 A 中的、、、和，组 B 中的，组 C 中的、、、、和。组间生物量、多样性指数、物种丰富度指数和均匀度指数也存在显著差异，组 C 显著大于组 A 和 B。环境变量和底质也存在显著差异。典范对应分析结果表明，底层温度、底层盐度、水深和底质是影响虾类群落空间结构的主要环境变量。水团特征和底质类型对春季节东海和南黄海虾类群落的分布有重要影响。
