@Article{SilvaQMABCSMSMPP:2020:ExApBa,
               author = "Silva, Daniel Clemente V. R. and Queiroz, Lucas G. and Marassi, 
                         Rodrigo J. and Ara{\'u}jo, Cristiano V. M. and Bazzan, Thiago and 
                         Cardoso-Silva, Sheila and Silva, Gilmar C. and M{\"u}ller, M. and 
                         Silva, Fl{\'a}vio T. and Montagner, Cassiana C. and Paiva, Teresa 
                         C. B. and Pomp{\^e}o, Marcelo L. M.",
          affiliation = "{Universidade Federal do Sudeste e Sudoeste do Par{\'a} 
                         (UNIFESSPA)} and {Universidade de S{\~a}o Paulo (USP)} and 
                         {Universidade de S{\~a}o Paulo (USP)} and {Institute of Marine 
                         Sciences of Andalusia (CSIC)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Universidade Federal do Acre (UFAC)} and 
                         {Universidade Federal Fluminense (UFF)} and {Instituto 
                         Tecnol{\'o}gico da Aeron{\'a}utica (ITA)} and {Universidade de 
                         S{\~a}o Paulo (USP)} and {Universidade Estadual de Campinas 
                         (UNICAMP)} and {Universidade de S{\~a}o Paulo (USP)} and 
                         {Universidade de S{\~a}o Paulo (USP)}",
                title = "Predicting zebrafish spatial avoidance triggered by discharges of 
                         dairy wastewater: An experimental approach based on 
                         self-purification in a model river",
              journal = "Environmental Pollution",
                 year = "2020",
               volume = "266",
                pages = "e115325",
                month = "Nov.",
             keywords = "Fish, Habitat selection, Water pollution, Non-forced exposure, 
                         Dairy wastewater.",
             abstract = "Wastewater discharges from dairy industries can cause a range of 
                         harmful effects in aquatic ecosystems, including a decline in 
                         biodiversity due to species evasion. Therefore, it is important to 
                         know the purification potential of rivers for the removal of 
                         pollutants released in dairy wastewater (DWW). The hypothesis 
                         adopted in this work was that the release of DWW into stretches of 
                         the Ribeirao dos Pombos ~ River (S~ ao Paulo State, Brazil) might 
                         trigger an avoidance response, resulting in fish migrating to 
                         other regions, with the response being greater when the 
                         self-cleaning potential of the river is smaller. Therefore, the 
                         goals of the present study were to: (i) investigate how land use 
                         and seasonality of the rainfall regime influence the quality of 
                         the water in different areas of the river (P1: river source; P2: 
                         urban region; P3: rural region); (ii) assess the potential of the 
                         river to purify DWW; and (iii) evaluate the potential toxicity and 
                         repellency of DWW to the freshwater fish Danio rerio, using acute 
                         toxicity (mortality) and non-forced avoidance tests, respectively. 
                         P1 was shown to be the most preserved area. The chemical 
                         composition of the river varied seasonally, with higher 
                         concentrations of Cl and SO4 2 at P3 during the rainy period. The 
                         river purification potential for DWW was higher at P2, due to 
                         greater microbiological activity (associated with higher BOD). The 
                         DWW was more acutely toxic in water from P2. The avoidance 
                         response was strongly determined by the concentration of DWW, 
                         especially for water from P2. The high capacity for self-cleaning 
                         at P2 did not seem sufficient to maintain the stability of the 
                         ecosystem. Finally, the non-forced exposure system proved to be a 
                         suitable approach that can assist in predicting how contaminants 
                         may affect the spatial distributions of organisms.",
                  doi = "10.1016/j.envpol.2020.115325",
                  url = "http://dx.doi.org/10.1016/j.envpol.2020.115325",
                 issn = "0269-7491",
             language = "en",
           targetfile = "silva_predicting.pdf",
        urlaccessdate = "20 maio 2024"
}