Long‐Term Changes in the Lake Kinneret Ecosystem: The Effects of Climate Change and Anthropogenic Factors

Ostrovsky, Ilia; Rimmer, Alon; Yacobi, Yosef Z.; Nishri, A.; Sukenik, Assaf; Hadas, Ora; Zohary, Tamar

doi:10.1002/9781118470596.ch16

Cited by 32 publications

(22 citation statements)

References 47 publications

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“…The 2730 km 2 Lake Kinneret watershed includes four hydrological units with large differences in typical precipitation. Lake Kinneret is one of the most studied deep subtropical freshwater lakes in the world (Ostrovsky et al ). A summary of the present scientific knowledge on the lake has been published in a recent book (Zohary et al ).…”

Section: Methodsmentioning

confidence: 99%

“…At the same time, phosphate and reduced substances such as ammonium, sulfide and CH 4 accumulate in the hypolimnion (Nishri et al 2000;Eckert and Conrad 2007). Lake Kinneret is mesoeutrophic with a mean annual net primary production of $600 g C m 22 (Yacobi 2006;Ostrovsky et al 2013).…”

Section: Study Sitementioning

confidence: 99%

“…The release of bubbles from the sediment strongly depends on the hydrostatic pressure (Joyce and Jewell 2003). Ebullition fluxes can therefore vary by orders of magnitude depending on whether the lake level is rising or falling (Ostrovsky 2003;Scandella et al 2011;Ostrovsky et al 2013).…”

Section: Introductionmentioning

confidence: 99%

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Role of gas ebullition in the methane budget of a deep subtropical lake: What can we learn from process‐based modeling?

Schmid

Ostrovsky

Mcginnis

2017

Limnology & Oceanography

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We analyzed the processes affecting the methane (CH 4 ) budget in Lake Kinneret, a deep subtropical lake, using a suite of three models: (1) a bubble model to determine the fate of CH 4 bubbles released from the sediment; (2) the one-dimensional physical lake model Simstrat to calculate the mixing dynamics; and (3) a biogeochemical model implemented in Aquasim to quantify the CH 4 sources and sinks. The key pathways modeled include diffusive and bubble release of CH 4 from the sediment, aerobic CH 4 oxidation, and atmospheric gas exchange. The temporal and spatial dynamics of dissolved CH 4 concentrations observed in the lake during 3 years could be well represented by the combined models. Remarkably, the relative contributions of ebullition and diffusive transport to the accumulation of CH 4 in the hypolimnion during the stratified period could not be accurately constrained based only on the observed evolution of CH 4 concentrations in the water column. Importantly, however, our analysis showed that most ($99%) of the CH 4 supplied to the water column by bubble dissolution and diffusive transport from the sediment is aerobically oxidized, whereas a substantial fraction ($60%) of the sediment-released bubble CH 4 is directly transported to the atmosphere. Ebullition is thus responsible for the bulk of the emissions from Lake Kinneret to the atmosphere. Therefore, as in all freshwaters, ebullition quantification is crucial for accurately assessing CH 4 emissions to the atmosphere. This task remains challenging due to high spatio-temporal variability, but combining in situ measurements with a process-based modeling can help to better constrain flux estimates.

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Section: Methodsmentioning

confidence: 99%

Section: Study Sitementioning

confidence: 99%

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Role of gas ebullition in the methane budget of a deep subtropical lake: What can we learn from process‐based modeling?

Schmid

Ostrovsky

Mcginnis

2017

Limnology & Oceanography

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“…Since then P. gatunense blooms developed only after high-inflow winters (Zohary and Ostrovsky, 2011); a bloom failed to develop in some years. Other deviations from the previous typical annual pattern included higher summer phytoplankton biomass with replacement of the species assemblage of mostly nanoplanktonic; new appearance and establishment of toxin-producing, nitrogen-fixing cyanobacteria in summer; and an increase in the absolute biomass and proportion of cyanobacteria to total biomass (Ostrovsky et al, 2013). The lake has been monitored regularly since 1969 on weekly and biweekly bases.…”

Section: Limnological Data Of Lake Kinneretmentioning

confidence: 99%

Ecological relationships, thresholds and time-lags determining phytoplankton community dynamics of Lake Kinneret, Israel elucidated by evolutionary computation and wavelets

Recknagel

Ostrovsky

Cao

et al. 2013

Ecological Modelling

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a b s t r a c tThe hybrid evolutionary algorithm (HEA) was implemented to model and analyze population dynamics of the different phytoplankton phyla (chlorophyta, bacillariophyta, cyanophyta and dinophyta) in relation to physical, chemical, and biological determinants and their combinations in a large lake. Biweekly measurements over a 12-year period were used as input. The validation of models obtained with HEA showed the best results for bacillariophyta and dinophyta resulting in coefficients of determination (r 2 ) between the modeled and measured data of 0.54-0.79 and 0.29-0.76 for these phyla, respectively, suggesting good predictability of their dynamics. The lowest adequacy of HEA models was found for cyanophyta (r 2 of 0.28-0.46). Models that combined physical, chemical and biological inputs scored highest, whilst zooplankton-based models scored lowest in all experiments and indicated that top-down control of algal biomass could have only secondary effect. The input sensitivity analysis was used for testing the best phytoplankton models with threshold values determining high or low algal biomass and inhibitory-excitatory effects of specific parameters. Wavelets were tested to analyze two extreme cases of dinophyta dynamics in years of its exceptionally high and low developments to gain insights into lag times between the exert of key factor and algae response. Lag times extracted from daily interpolated data of highly correlated inputs of dinophyta in 1998 varied between 2 and 4 days.Crown

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“…Although the number of studies examining the expected impacts of climate change has increased in the last decade (Cook et al 2013), very few of these studies were conducted in Israel Talmon et al 2011;Golodets et al 2013;Ostrovsky et al 2013), and the Levant region has rarely been included in models assessing climate change impacts in the Mediterranean. Due to the paucity of science-based knowledge about the effects of climate change on natural ecosystems in Israel, it is difficult to evaluate its impacts on biodiversity and even more challenging to develop a response plan.…”

Section: Introductionmentioning

confidence: 99%

Impacts of climate change on biodiversity in Israel: an expert assessment approach

et al. 2014

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The Mediterranean region is both a global biodiversity hot spot and one of the biomes most strongly affected by human activities. Ecologists and land managers are increasingly required to advise on threats to biodiversity under foreseeable climate change. We used expert surveys to evaluate current understanding and uncertainties regarding climate change impacts on biodiversity in terrestrial, inland freshwater, and marine ecosystems of Israel. Finally, we propose a response strategy toward minimizing these changes. The surveys and the published literature indicated that the main climate change impacts in Israel include ongoing deterioration of freshwater habitats,

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Long‐Term Changes in the Lake Kinneret Ecosystem: The Effects of Climate Change and Anthropogenic Factors

Cited by 32 publications

References 47 publications

Role of gas ebullition in the methane budget of a deep subtropical lake: What can we learn from process‐based modeling?

Role of gas ebullition in the methane budget of a deep subtropical lake: What can we learn from process‐based modeling?

Ecological relationships, thresholds and time-lags determining phytoplankton community dynamics of Lake Kinneret, Israel elucidated by evolutionary computation and wavelets

Impacts of climate change on biodiversity in Israel: an expert assessment approach

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