Resilience of zooplankton communities in temperate reservoirs with extreme water level fluctuations

Inland Waters ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 256-266 ◽  
Author(s):  
Christina A. Murphy ◽  
Allison Evans ◽  
Brendan Coffin ◽  
Ivan Arismendi ◽  
Sherri L. Johnson
Keyword(s):  
Water Level ◽  
Water Level Fluctuations ◽  
Extreme Water Level ◽  
Zooplankton Communities

scholarly journals Extreme water level fluctuations along the Polish coast

2009 ◽  
Vol 82 (1) ◽  
pp. 99-107 ◽  
Author(s):  
Bernard Wiśniewski ◽  
Tomasz Wolski ◽  
Halina Kowalewska-Kalkowska ◽  
Jerzy Cyberski
Keyword(s):  
Water Level ◽  
Water Level Fluctuations ◽  
Extreme Water Level

scholarly journals Impact of the 2009 extreme water level variation on phytoplankton community structure in Lower Amazon floodplain lakes

2012 ◽  
Vol 23 (3) ◽  
pp. 260-270 ◽  
Author(s):  
Simone Casali ◽  
Maria do Carmo Calijuri ◽  
Bernard Barbarisi ◽  
Vivian Fróes Renó ◽  
Adriana Gomes Affonso ◽  
...  
Keyword(s):  
Community Structure ◽  
Water Level ◽  
Phytoplankton Community ◽  
Diversity Index ◽  
Water Level Fluctuations ◽  
Phytoplankton Community Structure ◽  
Extreme Water Level ◽  
Hydrological Conditions ◽  
Amazon Floodplain ◽  
Phytoplankton Communities

AIM: This paper examines the effect of the extreme water level change in 2009 on the structure and diversity of the phytoplankton communities in lakes of the Lower Amazon Floodplain, and compares it to phytoplankton community structure data reported in the literature for 2002 and 2003 high water periods, closer to the normal hydrological conditions. METHODS: Sub-surface integrated water samples for phytoplankton and chlorophyll-a analyses were collected during high and low water phases in 2009. Water temperature (°C), pH, turbidity (NTU) and electrical conductivity (µS.m-1) were measured, and the Shannon diversity index was calculated. RESULTS: The results showed striking differences in taxonomic composition between phases (high and low) and also between normal (2002 and 2003) and extreme (2009) hydrological conditions, all related to the flood pulse intensity. CONCLUSIONS: Extreme water level fluctuations can result in shifts in phytoplankton community structure and diversity. This work represents a valuable contribution to phytoplankton research since presents the community structure under extreme hydrological events in the Amazon floodplain.

scholarly journals Seasonal and inter-annual community structure characteristics of zooplankton driven by water environment factors during different hydrological years in a sub-lake of Lake Poyang, China

2019 ◽  
Author(s):  
Beijuan Hu ◽  
Xuren Hu ◽  
Xue Nie ◽  
Xiaoke Zhang ◽  
Naicheng Wu ◽  
...  
Keyword(s):  
Species Richness ◽  
Community Structure ◽  
Water Level ◽  
Seasonal Succession ◽  
Zooplankton Community ◽  
Water Level Fluctuations ◽  
Zooplankton Community Structure ◽  
Lake Poyang ◽  
Density And Biomass ◽  
Zooplankton Communities

Shallow lakes are important for the maintenance of Lake Poyang ecosystem integrity, and zooplankton play an important role in its substance and energy flow. We investigated zooplankton in spring (April), summer (July), autumn (October) and winter (January of the following year) from 2012 to 2016 in a sub-lake of Lake Poyang with seasonal water level fluctuations. The study aims to understand their seasonal dynamics and interannual variation of zooplankton community in relation to environmental variables. A total of 115 species were identified in all samples of the 4 years, comprising 87 Rotifera, 13 Cladocera and 15 Copepoda. Rotifera was the dominant group in quantity and its species richness and abundance were significantly higher than Cladocera and Copepoda (P<0.05, by ANOVA), while Cladocera dominated in biomass. Species richness of Rotifera showed a significant seasonal difference (P<0.05 by ANOVA). The clear decline of zooplankton species richness in spring was mainly due to the dramatic decrease of Rotifera species. Furthermore, both density and biomass of zooplankton showed significant seasonal differences (P<0.05). Generally, the density and biomass of zooplankton were higher in summer and autumn than in winter and spring. Biodiversity indices e.g., Shannon-Wiener index and evenness were dramatically lower in spring than in other seasons. Non-metric multidimensional scaling (NMDS) analysis suggested that the zooplankton communities can be divided into three groups: spring community, summer–autumn community and winter community associated with distinct indicator species. The results of species richness and community analysis showed that the seasonal succession of zooplankton communities did not have interannual reproducibility. Redundancy analysis revealed that water temperature (WT), conductivity, pH and dissolved oxygen (DO) had significant effects on the zooplankton community. In addition, water level fluctuations, disturbance by wintering waterbirds and artificial water level control during dry season have potential effects on zooplankton community structure too. This study is helpful to further understand the ecosystem stability of lake connected with rivers and provide scientific guidance for protection of lake wetlands.

scholarly journals Seasonal and inter-annual community structure characteristics of zooplankton driven by water environment factors during different hydrological years in a sub-lake of Lake Poyang, China

2019 ◽  
Author(s):  
Beijuan Hu ◽  
Xuren Hu ◽  
Xue Nie ◽  
Xiaoke Zhang ◽  
Naicheng Wu ◽  
...  
Keyword(s):  
Species Richness ◽  
Community Structure ◽  
Water Level ◽  
Seasonal Succession ◽  
Zooplankton Community ◽  
Water Level Fluctuations ◽  
Zooplankton Community Structure ◽  
Lake Poyang ◽  
Density And Biomass ◽  
Zooplankton Communities

Shallow lakes are important for the maintenance of Lake Poyang ecosystem integrity, and zooplankton play an important role in its substance and energy flow. We investigated zooplankton in spring (April), summer (July), autumn (October) and winter (January of the following year) from 2012 to 2016 in a sub-lake of Lake Poyang with seasonal water level fluctuations. The study aims to understand their seasonal dynamics and interannual variation of zooplankton community in relation to environmental variables. A total of 115 species were identified in all samples of the 4 years, comprising 87 Rotifera, 13 Cladocera and 15 Copepoda. Rotifera was the dominant group in quantity and its species richness and abundance were significantly higher than Cladocera and Copepoda (P<0.05, by ANOVA), while Cladocera dominated in biomass. Species richness of Rotifera showed a significant seasonal difference (P<0.05 by ANOVA). The clear decline of zooplankton species richness in spring was mainly due to the dramatic decrease of Rotifera species. Furthermore, both density and biomass of zooplankton showed significant seasonal differences (P<0.05). Generally, the density and biomass of zooplankton were higher in summer and autumn than in winter and spring. Biodiversity indices e.g., Shannon-Wiener index and evenness were dramatically lower in spring than in other seasons. Non-metric multidimensional scaling (NMDS) analysis suggested that the zooplankton communities can be divided into three groups: spring community, summer–autumn community and winter community associated with distinct indicator species. The results of species richness and community analysis showed that the seasonal succession of zooplankton communities did not have interannual reproducibility. Redundancy analysis revealed that water temperature (WT), conductivity, pH and dissolved oxygen (DO) had significant effects on the zooplankton community. In addition, water level fluctuations, disturbance by wintering waterbirds and artificial water level control during dry season have potential effects on zooplankton community structure too. This study is helpful to further understand the ecosystem stability of lake connected with rivers and provide scientific guidance for protection of lake wetlands.

Inundated shore vegetation as habitat for cichlids breeding in a lake subjected to extreme water level fluctuations

Inland Waters ◽  
2017 ◽  
Vol 7 (4) ◽  
pp. 449-460 ◽  
Author(s):  
David Cummings ◽  
Menachem Goren ◽  
Avital Gasith ◽  
Tamar Zohary
Keyword(s):  
Water Level ◽  
Water Level Fluctuations ◽  
Extreme Water Level

AUTOMATIC WATER LEVEL MONITORING WITH IOT AND LPWAN

2019 ◽  
pp. 95-103
Author(s):  
Krum Videnov ◽  
Vanya Stoykova
Keyword(s):  
Water Level ◽  
Real Time ◽  
Early Warning ◽  
Water Sources ◽  
Water Levels ◽  
Water Level Fluctuations ◽  
Level Monitoring ◽  
Water Level Monitoring

Monitoring water levels of lakes, streams, rivers and other water basins is of essential importance and is a popular measurement for a number of different industries and organisations. Remote water level monitoring helps to provide an early warning feature by sending advance alerts when the water level is increased (reaches a certain threshold). The purpose of this report is to present an affordable solution for measuring water levels in water sources using IoT and LPWAN. The assembled system enables recording of water level fluctuations in real time and storing the collected data on a remote database through LoRaWAN for further processing and analysis.

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