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Trait-based approach revealed the seasonal variation of mesozooplankton functional groups in the South Yellow Sea
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, includin...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10077163/ https://www.ncbi.nlm.nih.gov/pubmed/37073327 http://dx.doi.org/10.1007/s42995-022-00156-9 |
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author | Zhang, Zhishuang Chen, Hongju Li, Yixuan Ge, Ruping Liu, Guangxing Ali, Shaukat Zhuang, Yunyun |
author_facet | Zhang, Zhishuang Chen, Hongju Li, Yixuan Ge, Ruping Liu, Guangxing Ali, Shaukat Zhuang, Yunyun |
author_sort | Zhang, Zhishuang |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s42995-022-00156-9. |
format | Online Article Text |
id | pubmed-10077163 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-100771632023-04-17 Trait-based approach revealed the seasonal variation of mesozooplankton functional groups in the South Yellow Sea Zhang, Zhishuang Chen, Hongju Li, Yixuan Ge, Ruping Liu, Guangxing Ali, Shaukat Zhuang, Yunyun Mar Life Sci Technol Research Paper 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s42995-022-00156-9. Springer Nature Singapore 2023-02-13 /pmc/articles/PMC10077163/ /pubmed/37073327 http://dx.doi.org/10.1007/s42995-022-00156-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Paper Zhang, Zhishuang Chen, Hongju Li, Yixuan Ge, Ruping Liu, Guangxing Ali, Shaukat Zhuang, Yunyun Trait-based approach revealed the seasonal variation of mesozooplankton functional groups in the South Yellow Sea |
title | Trait-based approach revealed the seasonal variation of mesozooplankton functional groups in the South Yellow Sea |
title_full | Trait-based approach revealed the seasonal variation of mesozooplankton functional groups in the South Yellow Sea |
title_fullStr | Trait-based approach revealed the seasonal variation of mesozooplankton functional groups in the South Yellow Sea |
title_full_unstemmed | Trait-based approach revealed the seasonal variation of mesozooplankton functional groups in the South Yellow Sea |
title_short | Trait-based approach revealed the seasonal variation of mesozooplankton functional groups in the South Yellow Sea |
title_sort | trait-based approach revealed the seasonal variation of mesozooplankton functional groups in the south yellow sea |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10077163/ https://www.ncbi.nlm.nih.gov/pubmed/37073327 http://dx.doi.org/10.1007/s42995-022-00156-9 |
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