zooplankton community structure
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Water ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 93
Author(s):  
Baogui Liu ◽  
Chuanqiao Zhou ◽  
Lilin Zheng ◽  
Haixin Duan ◽  
Ying Chen ◽  
...  

Flood pulse related physical variables (FLOOD) can affect zooplankton community structure through local factors directly and can also influence through regional dispersal factors of metacommunity concepts indirectly. Therefore, we infer that spatial patterns of zooplankton communities could be related to metacommunity concepts and their importance may depend on the size of the aquatic/terrestrial transition zone (ATTZ). Herein, we explored the relative importance of limnological (LIMNO) and FLOOD variables in zooplankton community by analyzing data from 272 sites across three floodplain lakes in the middle reaches of the Yangtze River. Our results showed that the variation in the zooplankton community can be well explained by the LIMNO and FLOOD variables in all of the lakes under the low water level season. However, during the high water level season, neither LIMNO nor FLOOD can explain the spatial variances of zooplankton. Therefore, our results indicated that testing biogeographical theories and macroecological laws using zooplankton should consider temporal aspects of flood pulse. Furthermore, we noted that the number of explained variance by local variables is negatively correlated with the size of the ATTZ. Metacommunity concepts provide complementary insights in explaining zooplankton spatial patterns within large floodplain systems, which also provide a theoretical basis for ATTZ protection in floodplain management.


2022 ◽  
Vol 34 (1) ◽  
pp. 174-183
Author(s):  
Chen Huihuang ◽  
◽  
Wang Wenping ◽  
Xue Yuanyuan ◽  
Gao Xiaofei ◽  
...  

Diversity ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 644
Author(s):  
Nattaporn Plangklang ◽  
Sujeephon Athibai

Herbicide usage in rice fields over time may have a direct and indirect influence on the biodiversity of the fields. The impacts of herbicide usage on non-target organisms were assessed by examining the species richness and zooplankton density of two rice fields. One was 2.08 hectares in size and had been treated with pesticides during the sampling year (RF-PA). The second field, measuring 1.76 hectares, had received no pesticide treatment (RF-NPA). Every two weeks, zooplankton was quantitatively collected from ten sampling sites in each field. At each station, 20 L of measured water was filtered through a plankton net with a mesh size of 20 µm and preserved in 1% Lugol’s solution. The results revealed that RF-NPA and RF-PA had 112 and 88 species of zooplankton, respectively, with an abundance-based Jaccard index (Jabd) of 0.438. The total zooplankton density in RF-NPA was 24.4 ind./L, significantly higher than the 16.6 ind./L in RF-PA (p < 0.001). The Shannon-Wiener diversity index (H’) and evenness (J) were highest in RF-NPA at the second sampling (3.45 and 0.75, respectively). These results indicate that glyphosate application affects the diversity of species and density of zooplankton in rice fields.


2021 ◽  
Vol 890 (1) ◽  
pp. 012011
Author(s):  
Yuliana ◽  
Mutmainnah

Abstract Zooplankton has an important role in waters, especially in the food chain, this organism is the first consumer that plays a major role in bridging the transfer of energy from the main producers to living things at a higher trophic level. The aim of the study was to analyze the coastal waters condition of Fitu Village, Ternate Island based on zooplankton community structure, carried out at 4 stations, and 4 sampling periods. Zooplankton samples were taken by filtering method. The results showed that there were 10 zooplankton genera from 4 classes, namely Ciliates (3 genera), Crustacea (4 genera), Hydrozoa (1 genus), and Rotifera (2 genera). The abundance of zooplankton found ranged from 2271 to 11562 ind.l−1, the highest at station 1 period IV and the lowest at station 4 period I. The value range of zooplankton biological indices were diversity index (H’) = 1.12 - 1.87, evenness index (E) = 0.64 - 0.93, and the dominance index (D) = 0.17 - 0.42. The waters of Fitu are included in the category of waters that have a low fertility level with a diversity index value (H’) of 1.12 - 1.87.


2021 ◽  
Vol 8 ◽  
Author(s):  
Estelle Coguiec ◽  
Elizaveta A. Ershova ◽  
Malin Daase ◽  
Tobias R. Vonnahme ◽  
Owen S. Wangensteen ◽  
...  

Phyto- and zooplankton in Arctic and sub-Arctic seas show very strong seasonal changes in diversity and biomass. Here we document the seasonal variability in the mesozooplankton community structure in a sub-Arctic fjord in Northern Norway based on monthly sampling between November 2018 and February 2020. We combined traditional morphological zooplankton identification with DNA metabarcoding of a 313 base pair fragment of the COI gene. This approach allowed us to provide the most detailed mesozooplankton species list known for this region across an entire year, including both holo- and meroplankton. The zooplankton community was dominated by small copepods throughout the sampling period both in terms of abundance and relative sequence counts. However, meroplankton was the most diverse group, especially within the phylum polychaeta. We identified four distinct periods based on the seasonal analysis of the zooplankton community composition. The pre-spring bloom period (February–March) was characterized by low abundance and biomass of zooplankton. The spring bloom (April) was characterized by the presence of Calanus young stages, cirripedia and krill eggs. The spring-summer period (May–August) was characterized by a succession of meroplankton and a relatively high abundance of copepods of the genus Calanus spp. Finally, the autumn-winter period (September–December) was characterized by a high copepod diversity and a peak in abundance of small copepods (e.g., Oithona similis, Acartia longiremis, Pseudocalanus acuspes, Pseudocalanus elongatus, Pseudocalanus moultoni, Pseudocalanus minutus). During this period, we also observed an influx of boreal warm-water species which were notably absent during the rest of the year. Both the traditional community analysis and metabarcoding were highly complementary and with a few exceptions showed similar trends in the seasonal changes of the zooplankton community structure.


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