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Arkadi Parparov   Dr.  Senior Scientist or Principal Investigator 
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Arkadi Parparov published an article in December 2016.
Top co-authors See all
Shmuel Carmeli

113 shared publications

Tel Aviv University

Gideon Gal

68 shared publications

Israel Oceanographic & Limnological Research

Jarone Pinhassi

56 shared publications

Linnaeus University Marine Microbiology School of Natural Sciences Kalmar Sweden

Ilia Ostrovsky

50 shared publications

Israel Oceanographic & Limnological Research

Paolo Madoni

37 shared publications

Publication Record
Distribution of Articles published per year 
(1990 - 2016)
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Article 0 Reads 1 Citation Quantifying Ecological Stability: From Community to the Lake Ecosystem Gideon Gal, Arkadi Parparov Published: 12 December 2016
Ecosystems, doi: 10.1007/s10021-016-0090-z
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We performed a methodological study aimed at extending our previously developed approach to quantify the ecological stability of biotic communities and an entire ecosystem, using Lake Kinneret as a case study. The ecological stability of the biotic communities (phytoplankton and zooplankton) of Lake Kinneret was estimated using two different aggregating schemes. The first scheme used the combined stability index, based on the combined indices of the individual phytoplankton (SI[Comb]P) and zooplankton (SI[Comb]Z) taxonomic groups. The total community stability index was calculated based on the total abundances of these communities. The stability of the entire ecosystem was estimated for two sets of ecosystem state variables, a lake “trophic state” set and a “water quality” set, which provided considerably different estimates of the lake ecosystem stability. Good agreement between the results of this study and qualitative estimates of Lake Kinneret stability validates the suitability of this approach to estimate the stability of different ecological units.
BOOK-CHAPTER 0 Reads 0 Citations The Fate of Organic Carbon Werner Eckert, Ora Hadas, Yosef Z Yacobi, Orit Sivan, Ilia O... Published: 01 January 2014
Lake Kinneret, doi: 10.1007/978-94-017-8944-8_25
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In Lake Kinneret, the majority of photosyntetically produced organic carbon (OC) is cycled through the microbial loop. Taken together, bacterial production (BP) and bacterial respiration (BR), i.e., bacterial carbon demand (BCD), accounted for about 65 % of gross primary production (GPP), measured biweekly and averaging 2.3 g C m–2 day–1 during the last decade (2001–2011). Community respiration (CR) was 2.1 g C m–2 day–1. The major contributors to total CR were bacterial and phytoplankton respiration (~80%) while zooplankton respiration accounted for the reminder. Most (~ 83 %) of the OC input were eventually respired, ~3 % lost to outflows, while ~15 % of the total OC input were transferred annually to the sediments. Here oxic mineralization is gradually replaced by anoxic processes as a function of the availability of suitable electron acceptors. After the depletion of oxygen in the hypolimnion, sulfate (500 μM) becomes the dominant oxidant. Depending on the settling flux of OC sedimentary sulfate reduction (SR) rates were measured from 0.01 to 1.67 µmol cm–3 day–1 in December and July, respectively. SR is the dominant anaerobic terminal decomposition process in Lake Kinneret and is responsible for the accumulation of sulfide in the hypolimnion to concentrations up to 400 μM. Methanogenesis is restricted to those sediment layers that are depleted of sulfate (below 3–5 cm). Seasonal profiles and 13C signatures of dissolved methane in the sediment pore water of Lake Kinneret have indicated anaerobic methane oxidation in the deeper sediments (below 20 cm), with Fe(III) as electron acceptor. Lake Kinneret resembles the first aquatic ecosystem where the existence of this process could be verified. Changes in the watershed and lake environment are suggested as possible causes for the apparently significant declines in bacterial numbers, BP, and BCD that have taken place over the last decade in Lake Kinneret.
BOOK-CHAPTER 0 Reads 0 Citations Seston and Organic Matter Arkadi Parparov, Gideon Gal Published: 01 January 2014
Lake Kinneret, doi: 10.1007/978-94-017-8944-8_26
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Studies carried out during 2000–2010 allowed us to estimate the temporal and spatial dynamics of structural and functional characteristics of seston and organic matter in Lake Kinneret: seston mass (total suspended solids, TSS), and particulate, dissolved, and total organic carbon (POC, DOC, and TOC = POC + DOC). Similar characteristics were determined for the Jordan River. On average, TSS, POC, DOC/POC, and TOC declined with water depth, indicating relative increase of seston decomposition. Phytoplankton was the largest component of the living part of seston in Lake Kinneret, comprising on average 24.7 % of the seston dry weight. During intense dinoflagellate blooms, phytoplankton comprised up to 90 % of the seston mass. Despite significant variability of the living compartments and drastic changes in the phytoplankton structure, the nonliving component was, on average, the largest component of Lake Kinneret seston, comprising about 60 % of seston mass. Metabolic activity associated with seston dominated by specific algal taxa was also estimated. The potential ecosystem importance of transparent exopolymer particles (TEP), a previously unrecognized, major component of the seston, is described. Major fluxes within the seston cycle were estimated directly, allowing the compilation of a seston budget. Sources and sinks of seston appeared to be approximately balanced which is in good agreement with the observed long-term stability of seston dynamics.
BOOK-CHAPTER 0 Reads 0 Citations Water Pollutants Shmuel Carmeli, Ora Hadas, Edit Leibovici, Nehama Malinsky-R... Published: 01 January 2014
Lake Kinneret, doi: 10.1007/978-94-017-8944-8_33
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Water pollutants primarily originating from anthropogenic sources impair the ability of lakes and reservoirs to support a human use, such as drinking water, or greatly affect biotic communities, such as fish and other constituents of the food web. Algal blooms and the proliferation of toxic algae and cyanobacteria are also water pollutants that cause major changes in water quality and the ecological status of lentic and lotic ecosystems. Here, we describe two major sources of anthropogenic pollutants in Lake Kinneret: pesticides originated from agricultural activities and fecal indicators originated from domestic and urban pollution. Natural source of in-lake contaminants are toxic compounds produced and excreted by various phytoplankton species. Blooms of toxic species of Microcystis and Aphanizomenon (Cyanobacteria) were recorded annually since 1994. In this chapter, we bring information on the type and distribution of anthropogenic and natural pollutants in Lake Kinneret, their multiannual variations, and their implication for water quality.
BOOK-CHAPTER 0 Reads 0 Citations Water Quality Assessment Arkadi Parparov, K David Hambright Published: 01 January 2014
Lake Kinneret, doi: 10.1007/978-94-017-8944-8_34
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Water quality in Lake Kinneret was quantified using a system of indices for which water quality parameters and their permissible ranges were identified and defined through a modified Delphi expert panel process. We calculated an aggregate index of water quality (Composite Water Quality Index, CWQI) as a weighted average of rating values for the entire set of water quality indices, in which variable weights for a given index were inversely proportional to the rating value of that index. Since 1991, annual average CWQI showed a trend of deteriorating lake water quality, due mostly to increases in chloride concentration and relative cyanobacteria biomass. Annual variability in CWQI was explained mostly by water level fluctuations, and less so by external nutrient loading. The Lake Kinneret water quality system has demonstrated its effectiveness as a common language for communication between multiple partners in water resource management, as a tool and target for lake management, and as an output of ecological modeling.
BOOK-CHAPTER 0 Reads 0 Citations Modeling the Kinneret Ecosystem Gideon Gal, Arkady Parparov, Natasa Atanasova Published: 01 January 2014
Lake Kinneret, doi: 10.1007/978-94-017-8944-8_35
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Modeling of the Lake Kinneret ecosystem and its various components has developed greatly since the first effort in 1980. Modeling studies have included a range of approaches, some of which have focused on the entire ecosystem, while others only on certain components. The modeling approaches that have been applied to the Lake Kinneret ecosystem range from statistical approaches, data mining, and machine-learning techniques to flux models, bioenergetics, nutrient–phytoplankton–zooplankton (N–P–Z)-type models, and complete ecosystem models. Models have been used to enhance our understanding of key limnological and food-web processes. The models, however, have also been used as a means for providing resource managers with improved management tools. This has included, in some cases, integrating model output and a quantified water quality (WQ) system as the basis for establishing the relationships between management measures and water quality. Thus, highlighting the role of ecosystem modeling as a critical management tool.