Zooplankton contribution to the particulate N and P in Lake Kinneret, Israel, under changing water levels

Rachamim, Tamar; Stambler, Noga; Zohary, Tamar; Berman‐Frank, Ilana

doi:10.1007/s10750-010-0413-6

Cited by 7 publications

(5 citation statements)

References 45 publications

(63 reference statements)

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“…2; Zohary et al 1994Zohary et al 1989Zohary et al -1992 Peridinium Fig. 2; Zohary et al 1994Zohary et al 2008Zohary et al -2010 non-Peridinium This study Table 1. Sources of δ 13 C data for particulate organic matter from surface water (POMsurf), particulate organic matter from sediment trap (POMtraps), and zooplankton from Lake Kinneret; years of data collection; and whether Peridinium gatunense bloomed.…”

mentioning

confidence: 80%

“…The different mesh size nets were used to ensure sufficient collection of both cladocerans and copepods. In the laboratory, zooplankton were cleaned from other particles in the net tows by letting them swim to the light (Rachamim et al 2010). This light-dark separation process would usually last between 1.5 and 3 h and was sufficient for gut clearance prior to stable isotope analysis (Feuchtmayr andGrey 2003, Smyntek et al 2007).…”

Section: Zooplanktonmentioning

confidence: 99%

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Species-specific imprint of the phytoplankton assemblage on carbon isotopes and the carbon cycle in Lake Kinneret, Israel

Goodwin

Erez

Hambright

et al. 2016

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Lakes undergoing major changes in phytoplankton species composition are likely to undergo changes in carbon (C) cycling. In this study we used stable C isotopes to understand how the C cycle of Lake Kinneret, Israel, responded to documented changes in phytoplankton species composition. We compared the annual δ 13 C cycle of particulate organic matter from surface water (POM surf ) between (1) years in which a massive spring bloom of the dinoflagellate Peridinium gatunense occurred (Peridinium years) and (2) years in which it did not (non-Peridinium years). In nonPeridinium years, the spring δ 13 C-POM surf maxima were lower by 3.3‰. These spring δ 13 C maxima were even lower in POM sinking into sediment traps and in zooplankton (lower by 6.8 and 6.9‰, respectively). These differences in the isotopic composition of the major organic C components in the lake represent ecosystem-level responses to the presence or absence of the key blooming species P. gatunense. When present, the intensive, almost monospecific bloom lowers the concentrations of CO 2(aq) , causing a reduction in the isotopic fractionation of the algae (higher δ 13 C of POM surf ) and massive precipitation of calcium carbonate (CaCO 3 ). In non-Peridinium years, the phytoplankton cannot deplete CO 2(aq) to similar levels; the algae maintain higher isotopic fractionation, leading to lower δ 13 C maxima. These changes are reflected higher up in the food web (zooplankton) and in sedimenting organic matter. The consequences for the ecosystem in non-Peridinium years are lower export of both organic and inorganic C.

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mentioning

confidence: 80%

Section: Zooplanktonmentioning

confidence: 99%

Species-specific imprint of the phytoplankton assemblage on carbon isotopes and the carbon cycle in Lake Kinneret, Israel

Goodwin

Erez

Hambright

et al. 2016

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“…If the dry weight (DW) of zooplankton is 10-20% of the WW [2,6,8] the DW biomass of the zooplankton compartment range in Lake Kinneret is 250-1700 tons. Taking into account the published data [17][18][19][20] on Carbon (C), Nitrogen (N) and Phosphorus (P), their content ranges (48%, 9%, 1% of DW respectively) in the Lake Kinneret zooplankton are 120-860 tons, 23-153 tons and 2.5-17.0 tons respectively. These nutrient loads are small in relation to the total stocks, but they might have a significant role due to the high rate of nutrient recycling by zooplankton.…”

Section: Total Load Of Zooplankton Biomassmentioning

confidence: 99%

Zooplankton Research in Lake Kinneret: A Review

2021

Aquac Fish Stud

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The ecological status of the zooplankton compartment and its complex interactions in Lake Kinneret are here reviewed with respect to regional climate change. Food web and thermal structure modifications resulting from climate change affected the zooplankton community. Nutrient dynamics and the structure of phytoplankton assemblages were modified. The dominant representative genus Peridinium of the Pyrrhophyta was replaced by Cyanobacteria, accompanied by Bacillariophyta and Chlorophyta proliferation. As a result of limitation constraints on the fish market, the Bleak (Mirogrex terrae-sanctae, Acanthobrama lissneri) stock in the lake was enhanced, with resulted in a decline in zooplankton biomass. The zooplankton biomass reduction could be attributed to the top-down cascading enhanced pressure which, together with the increase in Total Phosphorus, resulted by climate change as a result of internal and external impact conditions, supported the increase in nano-phytoplanktonic biomass.

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“…In our two sub-models, the stoichiometry of zooplankton was fixed because zooplankton have fairly constant internal N:P ratios (Sterner and Elser, 2002), although some variability has been reported in Lake Kinneret (Rachamim et al, 2010). In addition, the presence of the microbial loop affects the zooplankton community structure (Peduzzi et al, 1992).…”

Section: N:p Stoichiometry Of the Microbial Loopmentioning

confidence: 99%

Microbial loop processes shape the food web stoichiometry in Lake Kinneret

Liu¹,

Waite

Hipsey³

2011

Chan, F., Marinova, D. And Anderssen, R.S. (Eds) MODSIM2011, 19th International Congress on Modelling and Simulation.

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Nutrient cycling in the pelagic zone of aquatic ecosystems is generally controlled by the interactions between zooplankton, phytoplankton and bacteria. However, very little is known about how microbial interactions influence the stoichiometry of trophic levels within freshwater ecosystems. In order to better understand these interactions, we examined how the microbial loop shaped the N:P stoichiometry of food web components in Lake Kinneret. We used two microbial loop sub-models incorporated into a onedimensional coupled hydrodynamic-ecological model (DYRESM-CAEDYM) to simulate the effect of microbial loop processes on the N:P stoichiometry of the food web. The stoichiometry of nutrient recycling pathways illustrated that the ability of bacteria to regulate phytoplankton stoichiometry is a significant factor that has ecosystem wide implications. The results showed that the average internal N:P ratios of the combined phytoplankton community followed their C biomass patterns. However, variations in the internal N:P ratios of the five simulated phytoplankton species occurred depending on the operation of the microbial loop, suggesting that predicting the N:P ratios of the nutrient flux pathways between bacteria, zooplankton and inorganic matter are important in correctly predicting the available nutrients for individual phytoplankton groups, and their overall patterns of growth. The dynamic shifts in nutrient stoichiometry induced by changes in the microbial loop within Lake Kinneret provide an improved mechanistic understanding of microbial interactions in aquatic ecosystems.

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Zooplankton contribution to the particulate N and P in Lake Kinneret, Israel, under changing water levels

Cited by 7 publications

References 45 publications

Species-specific imprint of the phytoplankton assemblage on carbon isotopes and the carbon cycle in Lake Kinneret, Israel

Species-specific imprint of the phytoplankton assemblage on carbon isotopes and the carbon cycle in Lake Kinneret, Israel

Zooplankton Research in Lake Kinneret: A Review

Microbial loop processes shape the food web stoichiometry in Lake Kinneret

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