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| 1 | Diel vertical migration of mesozooplankton in the northern Yellow Sea显示文摘The Yellow Sea Cold Water Mass(YSCWM),one of the most vital hydrological features of the Yellow Sea,causes a seasonal thermocline from spring to autumn.The diel vertical migration(DVM)of zooplankton is crucial to structural pelagic communities and food webs,and its patterns can be aff ected by thermocline depth and strength.Hence,we investigated zooplankton community succession and seasonal changes in zooplankton DVM at a fixed station in the YSCWM.Annual zooplankton community succession was aff ected by the forming and fading of the YSCWM.A total of 37 mesozooplankton taxa were recorded.The highest and lowest species numbers in autumn and spring were detected.The highest and lowest total densities were observed in autumn(14464.1 inds./m^(3))and winter(3115.4 inds./m^(3)),respectively.The DVM of the dominant species showed obvious seasonal variations.When the YSCWM was weak in spring and autumn,most species(e.g.Paracalanus parvus,Oithona similis,and Acartia bifilosa)stayed above the thermocline and vertically migrated into the upper layer.Calanus sinicus and Aidanosagitta crassa crossed the thermocline and vertically migrated.No species migrated through the stratification in summer,and all of the species were limited above(P.parvus and A.crassa)or below(C.sinicus and Centropages abdominalis)the thermocline.The YSCWM disappeared in winter,and zooplankton species were found throughout the water column.Thus,the existence of thermocline influenced the migration patterns of zooplankton.Cluster analyses showed that the existence of YSCWM resulted in significant differences between zooplankton communities above and below the thermocline. | Ruping GE Hongju CHEN Guangxing LIU Yanzhong ZHU Qiang JIANG | 2021 | Journal of Oceanology and Limnology2021，39，4： | 1 |
| 2 | Functional groups and seasonal diversity of crustacean zooplankton in adjacent waters of Haizhou Bay,South Yellow Sea显示文摘Zooplankton are important linkages in the food web and can respond nonlinearly to environmental changes.Marine organisms thrive from spring to summer.Thus,it is crucial to understand how ecological functions of zooplankton communities may shift under seasonal environmental changes during this period.Samples were collected from May to August(May,June-Ⅰ,June-Ⅱ,July-Ⅰ,July-Ⅱ,and August)in 2018 in Haizhou Bay,Jiangsu,East China for zooplankton and environmental variables.Crustaceans accounted for 75 out of 134 zooplankton taxa and 91.8%of total zooplankton abundance.The average abundance of crustacean varied between 2824.6±635.4 inds./m3 in July-Ⅱand 6502.7±1008.8 inds./m3 in June-Ⅱ.Multivariate analyses results showed that the dissimilarity of community increased gradually in the time series.Body length,feeding type,trophic group,and reproduction mode were used to investigate crustacean community functions.Trait-based functional groups contained species with similar ecological roles.Functional diversity fused the differences of species and trait.The proportion of large-sized species(2-5 mm)decreased with the increasing proportion of medium-sized species(1-2 mm).The proportion of current feeders increased with the drop in the proportion of mixed feeders.Parthenogenesis species increased with decreasing free spawners,and omnivores-carnivores increased with decreasing omnivoresherbivores.Generalized additive models suggested that temperature was the main driver of variations in crustacean zooplankton function.Seven identified functional groups varied with increasing temperature.Omnivorous-herbivorous copepods declined(90.0%-68.0%),whereas the parthenogenetic cladocerans increased(0-24.1%).The small egg-brooding ambush copepods fluctuated(6.5%-9.3%)with increasing water temperature.The other functional groups changed slightly.Functional diversity also varied according to temperature changes.The community structure and ecological function of crustacean zooplankton community showed gradual changes with increasing temperature from spring to summer. | Zeqi ZHENG Shunan FU Yixuan LI Ruping GE Hongju CHEN Zhenjiang YE Yunyun ZHUANG Guangxing LIU | 2023 | Journal of Oceanology and Limnology2023，41，3： | 0 |
| 3 | Trait-based approach revealed the seasonal variation of mesozooplankton functional groups in the South Yellow Sea显示文摘Functional traits determine the fitness of organisms and mirror their ecological functions.Although trait-based approaches provide ecological insights,it is underexploited for marine zooplankton,particularly with respect to seasonal variation.Here,based on four major functional traits,including body length,feeding type,trophic group,and reproduction mode,we quantified the seasonal variations of mesozooplankton functional groups in the South Yellow Sea(SYS)in the spring,summer,and autumn of 2018.Strong seasonal dynamics were identified for all traits but patterns varied among traits.Small zooplankton(47.7–88.6%),omnivores–herbivores(81.3–97.6%),and free spawners(54.8–92.5%)dominated in three seasons,while ambush feeders and current feeders dominated in spring(45.7%),and autumn(73.4%),respectively.Cluster analysis of the functional traits showed that the mesozooplankton in the SYS can be classified into eight functional groups.The biogeographic and seasonal variations of functional groups can be partially explained by environmental drivers.Group 1,represented by omnivores–herbivores,was the most dominant functional group,the abundance of which peaked in spring and was positively correlated with chlorophyll a concentration,indicating its close association with phytoplankton dynamics.The contribution of giant,active ambush carnivores,passive ambush carnivore jellyfish,current omnivores–detritivores,and parthenogenetic cladocerans increased with sea surface temperature.The proportion of giant,active ambush carnivores and active ambush omnivore–carnivore copepods decreased with salinity in autumn.This study presents a new perspective for understanding the dynamics of zooplankton and paves the way for further research on the functional diversity of zooplankton in the SYS. | Zhishuang Zhang Hongju Chen Yixuan Li Ruping Ge Guangxing Liu Shaukat Ali Yunyun Zhuang | 2023 | Marine Life Science & Technology2023，5，1： | 0 |
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