EcoImpact

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   libraryUrl => '' (0 chars)

array(6 items)
   0 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=23923, pid=124)
      originalId => protected23923 (integer)
      authors => protected'Tamminen, M.; Spaak, J.; Tlili, A.; Eggen, R.; Stamm,&nb
         sp;C.; Räsänen, K.' (101 chars)
      title => protected'Wastewater constituents impact biofilm microbial community in receiving stre
         ams' (79 chars)
      journal => protected'Science of the Total Environment' (32 chars)
      year => protected2022 (integer)
      volume => protected807 (integer)
      issue => protected'3' (1 chars)
      startpage => protected'151080 (8 pp.)' (14 chars)
      otherpage => protected'' (0 chars)
      categories => protected'biofilm; wastewater treatment; bacterial community; diatom; micropollutant' (74 chars)
      description => protected'Microbial life in natural biofilms is dominated by prokaryotes and microscop
         ic eukaryotes living in dense association. In stream ecosystems, microbial b
         iofilms influence primary production, elemental cycles, food web interaction
         s as well as water quality. Understanding how biofilm communities respond to
          anthropogenic impacts, such as wastewater treatment plant (WWTP) effluent, 
         is important given the key role of biofilms in stream ecosystem function. He
         re, we implemented 16S and 18S rRNA gene sequencing of stream biofilms upstr
         eam (US) and downstream (DS) of WWTP effluents in four Swiss streams to test
          how bacterial and eukaryotic communities respond to wastewater constituents
         
         
         munity members was related to micropollutants in the wastewater – among ba
         cteria, micropollutant-associated members were found e.g. in <em>Alphaproteo
         bacteria</em>, and among eukaryotes e.g. in <em>Bacillariophyta</em> (algal 
         diatoms). This study corroborates several previously characterized responses
          (e.g. as seen in diatoms), but also reveals previously unknown community re
         sponses – such as seen in <em>Alphaproteobacteria</em>. This study advance
         s our understanding of the ecological impact of the current wastewater treat
         ment practices and provides information about potential new marker organisms
          to assess ecological change in stream biofilms.' (1492 chars)
      serialnumber => protected'0048-9697' (9 chars)
      doi => protected'10.1016/j.scitotenv.2021.151080' (31 chars)
      uid => protected23923 (integer)
      _localizedUid => protected23923 (integer)modified
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      _versionedUid => protected23923 (integer)modified
      pid => protected124 (integer)
   1 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=23265, pid=124)
      originalId => protected23265 (integer)
      authors => protected'Carles,&nbsp;L.; Wullschleger,&nbsp;S.; Joss,&nbsp;A.; Eggen,&nbsp;R.&nbsp;I
         .&nbsp;L.; Schirmer,&nbsp;K.; Schuwirth,&nbsp;N.; Stamm,&nbsp;C.; Tlili,&nbs
         p;A.' (156 chars)
      title => protected'Impact of wastewater on the microbial diversity of periphyton and its tolera
         nce to micropollutants in an engineered flow-through channel system' (143 chars)
      journal => protected'Water Research' (14 chars)
      year => protected2021 (integer)
      volume => protected203 (integer)
      issue => protected'' (0 chars)
      startpage => protected'117486 (14 pp.)' (15 chars)
      otherpage => protected'' (0 chars)
      categories => protected'pollution-induced community tolerance; aquatic biofilm; passive sampler; org
         anic micropollutants; microbial diversity; 16S and 18S rRNA gene sequencing' (151 chars)
      description => protected'Wastewater treatment plants (WWTPs) play an important role in retaining orga
         nic matter and nutrients but to a lesser extent micropollutants. Therefore, 
         treated wastewater is recognized as a major source of multiple stressors, in
         cluding complex mixtures of micropollutants. These can potentially affect mi
         crobial communities in the receiving water bodies and the ecological functio
         ns they provide. In this study, we evaluated in flow-through channels the co
         nsequences of an exposure to a mixture of stream water and different percent
         ages of urban WWTP effluent, ranging from 0% to 80%, on the microbial divers
         ity and function of periphyton communities. Assuming that micropollutants ex
         ert a selective pressure for tolerant microorganisms within communities, we 
         further examined the periphyton sensitivity to a micropollutant mixture extr
         acted from passive samplers that were immersed in the wastewater effluent. A
         s well, micropollutants in water and in periphyton were comprehensively quan
         tified. Our results show that micropollutants detected in periphyton differe
         d from those found in water, both in term of concentration and composition. 
         Especially photosystem II inhibitors accumulated in periphyton more than oth
         er pesticides. Although effects of other substances cannot be excluded, this
          accumulation may have contributed to the observed higher tolerance of photo
         trophic communities to micropollutants upon exposure to 30% and 80% of waste
         water. On the contrary, no difference in tolerance was observed for heterotr
         ophic communities. Exposure to the gradient of wastewater led to structural 
         differences in both prokaryotic and eukaryotic communities. For instance, th
         e relative abundance of cyanobacteria was higher with increasing percentage 
         of wastewater effluent, whereas the opposite was observed for diatoms. Such 
         results could indicate that differences in community structure do not necess
         arily lead to higher tolerance. This highlights the need to consider other w
         astewater constituents s...' (2512 chars)
      serialnumber => protected'0043-1354' (9 chars)
      doi => protected'10.1016/j.watres.2021.117486' (28 chars)
      uid => protected23265 (integer)
      _localizedUid => protected23265 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected23265 (integer)modified
      pid => protected124 (integer)
   2 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=21300, pid=124)
      originalId => protected21300 (integer)
      authors => protected'Tlili,&nbsp;A.; Corcoll,&nbsp;N.; Arrhenius,&nbsp;Å.; Backhaus,&nbsp;T.; Ho
         llender,&nbsp;J.; Creusot,&nbsp;N.; Wagner,&nbsp;B.; Behra,&nbsp;R.' (143 chars)
      title => protected'Tolerance patterns in stream biofilms link complex chemical pollution to eco
         logical impacts' (91 chars)
      journal => protected'Environmental Science and Technology' (36 chars)
      year => protected2020 (integer)
      volume => protected54 (integer)
      issue => protected'17' (2 chars)
      startpage => protected'10745' (5 chars)
      otherpage => protected'10753' (5 chars)
      categories => protected'' (0 chars)
      description => protected'Preventing and remedying fresh waters from chemical pollution is a fundament
         al societal and scientific challenge. With other nonchemical stressors poten
         tially co-occurring, assessing the ecological consequences of reducing chemi
         cal loads in the environment is arduous. In this case study, we comparativel
         y assessed the community structure, functions, and tolerance of stream biofi
         lms to micropollutant mixtures extracted from deployed passive samplers at w
         astewater treatment plant effluents. These biofilms were growing up- and dow
         nstream of one upgraded and two nonupgraded wastewater treatment plants befo
         re being sampled for analyses. Our results showed a substantial decrease in 
         micropollutant concentrations by 85%, as the result of upgrading the wastewa
         ter treatment plant at one of the sampling sites with activated carbon filtr
         ation. This decrease was positively correlated with a loss of community tole
         rance to micropollutants and the recovery of the community structure downstr
         eam of the effluent. On the other hand, downstream biofilms at the nonupgrad
         ed sites displayed higher tolerance to the extracts than the upstream biofil
         ms. The observed higher tolerance was positively linked to micropollutant le
         vels both in stream water and in biofilm samples, and to shifts in the commu
         nity structure. Although more investigations of upgraded sites are needed, o
         ur findings point toward the suitability of using community tolerance for th
         e retrospective assessment of the risks posed by micropollutants, to assess 
         community recovery, and to relate effects to causes in complex environmental
          conditions.' (1608 chars)
      serialnumber => protected'0013-936X' (9 chars)
      doi => protected'10.1021/acs.est.0c02975' (23 chars)
      uid => protected21300 (integer)
      _localizedUid => protected21300 (integer)modified
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   3 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=21286, pid=124)
      originalId => protected21286 (integer)
      authors => protected'Burdon,&nbsp;F.&nbsp;J.; Bai,&nbsp;Y.; Reyes,&nbsp;M.; Tamminen,&nbsp;M.; St
         audacher,&nbsp;P.; Mangold,&nbsp;S.; Singer,&nbsp;H.; Räsänen,&nbsp;K.; Jo
         ss,&nbsp;A.; Tiegs,&nbsp;S.&nbsp;D.; Jokela,&nbsp;J.; Eggen,&nbsp;R.&nbsp;I.
         &nbsp;L.; Stamm,&nbsp;C.' (252 chars)
      title => protected'Stream microbial communities and ecosystem functioning show complex response
         s to multiple stressors in wastewater' (113 chars)
      journal => protected'Global Change Biology' (21 chars)
      year => protected2020 (integer)
      volume => protected26 (integer)
      issue => protected'11' (2 chars)
      startpage => protected'6363' (4 chars)
      otherpage => protected'6382' (4 chars)
      categories => protected'biodiversity; carbon processing; cotton-strip assay; micropollutants; next-g
         eneration sequencing; nutrients; temperature; warming' (129 chars)
      description => protected'Multiple anthropogenic drivers are changing ecosystems globally, with a disp
         roportionate and intensifying impact on freshwater habitats. A major impact 
         of urbanization are inputs from wastewater treatment plants (WWTPs). Initial
         ly designed to reduce eutrophication and improve water quality, WWTPs increa
         singly release a multitude of micropollutants (MPs; i.e., synthetic chemical
         s) and microbes (including antibiotic‐resistant bacteria) to receiving env
         ironments. This pollution may have pervasive impacts on biodiversity and eco
         system services. Viewed through multiple lenses of macroecological and ecoto
         xicological theory, we combined field, flume, and laboratory experiments to 
         determine the effects of wastewater (WW) on microbial communities and organi
         c‐matter processing using a standardized decomposition assay. First, we co
         nducted a mensurative experiment sampling 60 locations above and below WWTP 
         discharges in 20 Swiss streams. Microbial respiration and decomposition rate
         s were positively influenced by WW inputs via warming and nutrient enrichmen
         t, but with a notable exception: WW decreased the activation energy of decom
         position, indicating a "slowing" of this fundamental ecosystem process in re
         sponse to temperature. Second, next‐generation sequencing indicated that m
         icrobial community structure below WWTPs was altered, with significant compo
         sitional turnover, reduced richness, and evidence of negative MP influences.
          Third, a series of flume experiments confirmed that although diluted WW gen
         erally has positive influences on microbial‐mediated processes, the negati
         ve effects of MPs are "masked" by nutrient enrichment. Finally, transplant e
         xperiments suggested that WW‐borne microbes enhance decomposition rates. T
         aken together, our results affirm the multiple stressor paradigm by showing 
         that different aspects of WW (warming, nutrients, microbes, and MPs) jointly
          influence ecosystem functioning in complex ways. Increased respiration rate
         s below WWTPs potentiall...' (2269 chars)
      serialnumber => protected'1354-1013' (9 chars)
      doi => protected'10.1111/gcb.15302' (17 chars)
      uid => protected21286 (integer)
      _localizedUid => protected21286 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected21286 (integer)modified
      pid => protected124 (integer)
   4 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=20593, pid=124)
      originalId => protected20593 (integer)
      authors => protected'Creusot,&nbsp;N.; Casado-Martinez,&nbsp;C.; Chiaia-Hernandez,&nbsp;A.; Kiefe
         r,&nbsp;K.; Ferrari,&nbsp;B.&nbsp;J.&nbsp;D.; Fu,&nbsp;Q.; Munz,&nbsp;N.; St
         amm,&nbsp;C.; Tlili,&nbsp;A.; Hollender,&nbsp;J.' (200 chars)
      title => protected'Retrospective screening of high-resolution mass spectrometry archived digita
         l samples can improve environmental risk assessment of emerging contaminants
         : a case study on antifungal azoles' (187 chars)
      journal => protected'Environment International' (25 chars)
      year => protected2020 (integer)
      volume => protected139 (integer)
      issue => protected'' (0 chars)
      startpage => protected'105708 (10 pp.)' (15 chars)
      otherpage => protected'' (0 chars)
      categories => protected'environmental risk assessment; antifungal-azoles; high resolution mass spect
         rometry; partitioning; exposure assessment; retrospective screening; digital
          samples' (160 chars)
      description => protected'Environmental risk assessment associated with aquatic and terrestrial contam
         ination is mostly based on predicted or measured environmental concentration
         s of a limited list of chemicals in a restricted number of environmental com
         partments. High resolution mass spectrometry (HRMS) can provide a more compr
         ehensive picture of exposure to harmful chemicals, particularly through the 
         retrospective analysis of digitally stored HRMS data. Using this methodology
         , our study characterized the contamination of various environmental compart
         ments including 154 surface water, 46 urban effluent, 67 sediment, 15 soil, 
         34 groundwater, 24 biofilm, 41 gammarid and 49 fish samples at 95 sites wide
         ly distributed over the Swiss Plateau. As a proof-of-concept, we focused our
          investigation on antifungal azoles, a class of chemicals of emerging concer
         n due to their endocrine disrupting effects on aquatic organisms and humans.
          Our results demonstrated the occurrence of antifungal azoles and some of th
         eir (bio)transformation products in all the analyzed compartments (0.1-100 
         ng/L or ng/g d.w.). Comparison of actual and predicted concentrations showed
          the partial suitability of level 1 fugacity modelling in predicting the exp
         osure to azoles. Risk quotient calculations additionally revealed risk of ex
         posure especially if some of the investigated rivers and streams are used fo
         r drinking water production. The case study clearly shows that the retrospec
         tive analysis of HRMS/MS data can improve the current knowledge on exposure 
         and the related risks to chemicals of emerging concern and can be effectivel
         y employed in the future for such purposes.' (1639 chars)
      serialnumber => protected'0160-4120' (9 chars)
      doi => protected'10.1016/j.envint.2020.105708' (28 chars)
      uid => protected20593 (integer)
      _localizedUid => protected20593 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected20593 (integer)modified
      pid => protected124 (integer)
   5 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=19987, pid=124)
      originalId => protected19987 (integer)
      authors => protected'Arlos,&nbsp;M.&nbsp;J.; Schürz,&nbsp;F.; Fu,&nbsp;Q.; Lauper,&nbsp;B.&nbsp;
         B.; Stamm,&nbsp;C.; Hollender,&nbsp;J.' (114 chars)
      title => protected'Coupling river concentration simulations with a toxicokinetic model effectiv
         ely predicts the internal concentrations of wastewater-derived micropollutan
         ts in field gammarids' (173 chars)
      journal => protected'Environmental Science and Technology' (36 chars)
      year => protected2020 (integer)
      volume => protected54 (integer)
      issue => protected'3' (1 chars)
      startpage => protected'1710' (4 chars)
      otherpage => protected'1719' (4 chars)
      categories => protected'' (0 chars)
      description => protected'Although the exposure assessment of wastewater-derived micropollutants via c
         hemical, bioanalytical, and modeling methods in environmental compartments i
         s becoming more frequent, the whole-body burden (i.e., internal concentratio
         ns) in nontarget organisms is rarely assessed. An understanding of the inter
         nal concentration fluctuation is especially important when exploring the mec
         hanistic linkage between exposure and effects. In this study, we coupled a s
         imple river model with a first-order toxicokinetic (TK) model to predict the
          concentrations of wastewater-derived micropollutants in freshwater inverteb
         rates (<em>Gammarus</em> spp.). We applied Monte Carlo simulations and condu
         cted laboratory experiments to account for the uncertain input data and the 
         lack of uptake/depuration rate constants required for the TK model. The inte
         rnal concentrations in field gammarids were predicted well, and the estimate
         s varied only by a factor of 0.1-1.9. Fast equilibrium may also be assumed s
         uch that bioconcentration factors (BCFs) are used together with the daily ri
         ver dilution patterns to predict internal concentrations. While this assumpt
         ion is suitable for compounds observed in our experiment to reach the steady
          state within 48 h in gammarids, the model overpredicted the concentrations 
         of substances that reach this condition after longer periods. Nevertheless, 
         this approach provides conservative estimates and simplifies the coupling of
          models as BCFs are slightly more accessible than the rate constants. Howeve
         r, if one is interested in a more detailed exposure information (e.g., peak 
         concentration and the whole-body burden recovery after a spill), then the no
         nsteady-state formulation should be employed.' (1717 chars)
      serialnumber => protected'0013-936X' (9 chars)
      doi => protected'10.1021/acs.est.9b05736' (23 chars)
      uid => protected19987 (integer)
      _localizedUid => protected19987 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected19987 (integer)modified
      pid => protected124 (integer)