Natalija Suhareva

Mrs. Natalija Suhareva


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2016 in Limnologica
Verified
Journal Article
Closed access
MDMinar Naomi Damanik-Ambarita
Minar Naomi Damanik-Ambarita
KLKoen Lock
Koen Lock
PBPieter Boets
Pieter Boets
GEGert Everaert
Gert Everaert
TNThi Hanh Tien Nguyen
Thi Hanh Tien Nguyen
PGPeter L.M. Goethals
Peter L.M. Goethals

23 February 2024 in Science Advances
Verified
Journal Article
Open access
IDInta Dimante-Deimantoviča
Inta Dimante-Deimantoviča
SSSaija Saarni
Saija Saarni
MBMarta Barone
Marta Barone
NBNatalja Buhhalko
Natalja Buhhalko
NSNormunds Stivrins
Normunds Stivrins
Jes VollertsenJes Vollertsen
Jes Vollertsen
Plastics are a recent particulate material in Earth’s history. Because of plastics persistence and wide-range presence, it has a great potential of being a global age marker and correlation tool between sedimentary profiles. In this research, we query whether microplastics can be considered among the array of proxies to delimit the Anthropocene Epoch (starting from the year 1950 and above). We present a study of microplastics deposition history inferred from sediment profiles of lakes in northeastern Europe. The sediments were dated with independent proxies from the present back to the first half of the 18th century. Regardless of the sediment layer age, microplastic particles were found throughout the cores in all sites. Depending on particles’ aspect ratio, less elongated particles were found deeper, while more elongated particles and fibers have reduced mobility. We conclude that interpretation of microplastics distribution in the studied sediment profiles is ambiguous and does not strictly indicate the beginning of the Anthropocene Epoch.

11 December 2021 in MethodsX
Verified
Journal Article
Open access
IDInta Dimante-Deimantoviča
Inta Dimante-Deimantoviča
NSNatalija Suhareva
Natalija Suhareva
MBMarta Barone
Marta Barone
IPIeva Putna-Nimane
Ieva Putna-Nimane
JAJuris Aigars
Juris Aigars
Microplastic pollution has become one of the most pressing environmental issues. A fundamental criterion for risk assessment is the concentration of found microplastic that can be altered during microplastic isolating from the sample. Recovery rate (i.e. positive control) is an important feedback component that identifies accuracy, quality and efficiency of sample processing, same as physical and chemical impact. Here, using 100 µm red polystyrene (PS) beads we have tested some methodological steps that can be responsible for the possible microplastic losses during sample treatment and based on that, we provided a recovery rate threshold values. Our results support that the choice of the extraction method (vacuum filtration versus wet sieving) results in lower recoverability when vacuum filtration is used and that used separatory funnels size versus material amount impacts the efficiency or recoverability in density separation. We have also analysed microplastic recovery rate when different samples treatment steps from widely used isolation protocols (sediment and water) were applied and our results suggest that there are a number of factors affecting recovery rates, of which physical effects (loss by consecutive treatment steps due to material transfer) are more important than possible chemical degradation. • Sample filtration method determines recovery rate from < 40 to > 80%. • The number of sample processing steps involving transfer has a direct impact on recovery rate. • As a measure of quality assurance, recovery rate thresholds are introduced.

6 September 2018 in Water
Verified
Journal Article
Open access
PDF file
TNThi Hanh Tien Nguyen
Thi Hanh Tien Nguyen
Marie Anne Eurie ForioMarie Anne Eurie Forio
Marie Anne Eurie Forio
Pieter BoetsPieter Boets
Pieter Boets
KLKoen Lock
Koen Lock
MAMinar Naomi Damanik Ambarita
Minar Naomi Damanik Ambarita
Peter GoethalsPeter Goethals
Peter Goethals
The Guayas River basin is one of the most important water resources in Ecuador, but the expansion of human activities has led to a degraded water quality. The purpose of this study was (1) to explore the importance of physical-chemical variables in structuring the macroinvertebrate communities and (2) to determine if the thresholds in stream velocity related to macroinvertebrate community composition could be identified in the Guayas River basin. Thus, macroinvertebrates and physical–chemical water quality variables were sampled at 120 locations during the dry season of 2013 in the Guayas River basin. Canonical correspondence analysis (CCA) was performed to identify relevant physical–chemical characteristics of the river influencing the distribution of the macroinvertebrate communities. Threshold indicator taxa analysis (TITAN) was used to discriminate between the macroinvertebrate community related to stagnant waters (Daule–Peripa reservoir) and to running waters. CCA indicates that the most important environmental factors influencing the distribution of macroinvertebrate communities were stream velocity, chlorophyll concentration, conductivity, temperature and elevation. Tipping points for the macroinvertebrate community were defined by stream velocity at 0.03 m/s and 0.4 m/s, i.e., stagnant-water (including dam-related reservoirs) taxa start to quickly decrease in abundance and frequency at 0.03 m/s while running-water taxa start to quickly increase in abundance and frequency at 0.03 m/s until a stream velocity of 0.4 m/s. The results provide essential information to define environmental flows to further support water management plans of the Guayas River basin. Information obtained will be useful for management of similar rivers in South America, as well as the rest of the world.

1 November 2018 in Ecological Informatics
Verified
Journal Article
Closed access
MDMinar Naomi Damanik-Ambarita
Minar Naomi Damanik-Ambarita
Pieter BoetsPieter Boets
Pieter Boets
TNThi Hanh Tien Nguyen
Thi Hanh Tien Nguyen
Marie Anne Eurie ForioMarie Anne Eurie Forio
Marie Anne Eurie Forio
GEGert Everaert
Gert Everaert
PGPeter L.M. Goethals
Peter L.M. Goethals

18 July 2016 in Water
Verified
Journal Article
Open access
PDF file
MAMinar Naomi Damanik Ambarita
Minar Naomi Damanik Ambarita
GEGert Everaert
Gert Everaert
Marie Anne Eurie ForioMarie Anne Eurie Forio
Marie Anne Eurie Forio
TNThi Hanh Tien Nguyen
Thi Hanh Tien Nguyen
KLKoen Lock
Koen Lock
Peter GoethalsPeter Goethals
Peter Goethals
The biotic integrity of the Guayas River basin in Ecuador is at environmental risk due to extensive anthropogenic activities. We investigated the potential impacts of hydromorphological and chemical variables on biotic integrity using macroinvertebrate-based bioassessments. The bioassessment methods utilized included the Biological Monitoring Working Party adapted for Colombia (BMWP-Col) and the average score per taxon (ASPT), via an extensive sampling campaign that was completed throughout the river basin at 120 sampling sites. The BMWP-Col classification ranged from very bad to good, and from probable severe pollution to clean water based on the ASPT scores. Generalized linear models (GLMs) and sensitivity analysis were used to relate the bioassessment index to hydromorphological and chemical variables. It was found that elevation, nitrate-N, sediment angularity, logs, presence of macrophytes, flow velocity, turbidity, bank shape, land use and chlorophyll were the key environmental variables affecting the BMWP-Col. From the analyses, it was observed that the rivers at the upstream higher elevations of the river basin were in better condition compared to lowland systems and that a higher flow velocity was linked to a better BMWP-Col score. The nitrate concentrations were very low in the entire river basin and did not relate to a negative impact on the macroinvertebrate communities. Although the results of the models provided insights into the ecosystem, cross fold model development and validation also showed that there was a level of uncertainty in the outcomes. However, the results of the models and sensitivity analysis can support water management actions to determine and focus on alterable variables, such as the land use at different elevations, monitoring of nitrate and chlorophyll concentrations, macrophyte presence, sediment transport and bank stability.