Changes in Micro-Phytoplankton Community Structure Due to Seasonal and Inter-Annual Variation in Environmental Parameters at Parangipettai Coastal Water, Bay of Bengal

被引:1
|
作者
Vajravelu, Manigandan [1 ,3 ]
Mariasingarayan, Yosuva [2 ,3 ]
Natarajan, Manivannan [3 ]
Ayyappan, Saravanakumar [3 ]
机构
[1] Sathyabama Inst Sci & Technol, Ctr Climate Change Studies, Chennai, Tamil Nadu, India
[2] Chulalongkorn Univ, Ctr Excellence Marine Biol, Dept Marine Sci, Reef Biol Res Grp, Bangkok, Thailand
[3] Annamalai Univ, Fac Marine Sci, Ctr Adv Study Marine Biol, Parangipettai, Tamil Nadu, India
来源
THALASSAS | 2022年 / 38卷 / 02期
关键词
Phytoplankton; Canonical Correspondence Analysis (CCA); Principal Component Analysis (PCA); Cluster analysis; Diatoms; Dinoflagellates; NORTHEAST MONSOON TRANSITION; ARID ZONE MANGROVES; EAST-COAST; WEST-COAST; PHYSICOCHEMICAL CHARACTERISTICS; NUTRIENT DYNAMICS; SOUTHWEST BAY; CARBON UPTAKE; ARABIAN SEA; FRESH-WATER;
D O I
10.1007/s41208-022-00432-6
中图分类号
Q17 [水生生物学];
学科分类号
071004 ;
摘要
Monthly samples were collected from 2014 to 2016 to elucidate seasonal and interannual dynamics of phytoplankton community structure, diversity, species composition and abundance in relation to physicochemical parameters. Totally, 141 phytoplankton species were identified mostly from diatoms belonging to 106 genera, dinoflagellates and blue green algae representing 29 and 6 genera, respectively. The most persistent and predominant diatoms and dinoflagellates were Asterionellopsis spp. Chaetoceros spp. Coscinodiscus spp. Nitzschia spp. Thalassionema nitzschioides, Guinardia spp. Skeletonema costatum, Ditylum brightwelli, Ceratium spp.and Dinophysis caudata.Gradual increase in phytoplankton abundance was noted in relation to nutrient enhancement from 2014 to 2016. Species diversity and composition in 2014 and 2015 found to be higher than 2016, however, the population density started elevating from 2015 to 2016 with shift in species composition. Variation in physicochemical parameters were confirmed in Principal component analysis (PCA) with distinct distribution pattern among years. Cluster and Non-metric multidimensional scaling ordination (NMDS) analyses identified four groups based on phytoplankton abundance. Diatoms and dinoflagellates that grew abundantly during 2016 formed two distinct groups in NMDS (group 1 &2) whereas; diatoms that distributed in 2014 and 2015 showed 2 separate groups (Group3&4). Canonical correspondence analysis (CCA) revealed the most influencing parameters as temperature, nitrite, silicate, and inorganic phosphate (IP) which was responsible for phytoplankton community structure changes among years especially in 2015 and 2016. The present study demonstrated that annual changes in nutrient and physical parameters can significantly alter dominations and community structure pattern of phytoplankton.
引用
收藏
页码:957 / 976
页数:20
相关论文
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