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Assessment of the aquatic environment quality of high Andean lagoons using multivariate statistical methods in two contrasting climatic periods

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The quality of the aquatic environment of high Andean lagoons was evaluated by means of multivariate statistical methods in two contrasting climatic periods. The water samples and benthic macroinvertebrates were collected in 22 sampling sites during the rainy and dry seasons. In each lagoon DO, DTS, EC, temperature and pH were determined in situ. The results revealed that the physicochemical parameters comply with the environmental quality standards for water, except COD and BOD5. In the PCA of the physicochemical parameters, the first two axes explained 73% of the total variation. The gradual analysis in pairs showed significant differences. The SIMPER analysis determined an average of four families of benthic macroinvertebrates per lagoon that showed more than 70% contribution. The ANOSIM revealed that Tragadero lagoon differs significantly from the others. The DistLM showed a value of 0.46 of coefficient of determination. Therefore, the quality of the environment of high Andean lagoons evaluated by means of multivariate statistical methods presents important differences or dissimilarities not only in the physicochemical characteristics of the water, but also in the composition of the benthic macroinvertebrate communities.
Rocznik
Strony
24--33
Opis fizyczny
Bibliogr. 25 poz., rys., tab.
Twórcy
autor
  • Universidad Nacional del Centro del Perú, Facultad de Zootecnia, Instituto de Investigación en Alta Montaña, Av. Mariscal Castilla No. 3989-4089, Huancayo, Perú
autor
  • Universidad Nacional Agraria La Molina, Av. La Molina s/n La Molina, Lima, Casilla Lima 12, Perú
autor
  • Universidad Nacional del Centro del Perú, Facultad de Zootecnia, Instituto de Investigación en Alta Montaña, Av. Mariscal Castilla No. 3989-4089, Huancayo, Perú
autor
  • Universidad Nacional del Centro del Perú, Facultad de Zootecnia, Instituto de Investigación en Alta Montaña, Av. Mariscal Castilla No. 3989-4089, Huancayo, Perú
autor
  • Universidad Nacional del Centro del Perú, Facultad de Zootecnia, Instituto de Investigación en Alta Montaña, Av. Mariscal Castilla No. 3989-4089, Huancayo, Perú
Bibliografia
  • 1. Alam, M.Z., Carpenter-Boggs, L., Rahman, A., Haque, M.M., Miah, M.R.U., Moniruzzaman, M., Qayum, M.A., Abdullah, H.M., 2016. Water quality and resident perceptions of declining ecosystem services at Shitalakka wetland in Narayanganj city. Sustainability of Water Quality and Ecology. doi: 10.1016/j.swaqe.2017.03.002
  • 2. Article, O., 2015. Development and evaluation of the Lake Multi-biotic Integrity Index for Dongting Lake, China. J. Limnol 74, 594–605. doi: 10.4081/jlimnol.2015.1186
  • 3. Bharti, N., 2011. Water quality indices used for surface water vulnerability assessment. International Journal of Environmental Sciences 2, 154–173.
  • 4. Canadian Council of Ministers of the Environment (CMME), 2007. Canadian water quality guidelines for the protection of aquatic life, Canadian water quality guidelines.
  • 5. Ceschia, C., Falace, A., Warwick, R., 2007. Biodiversity evaluation of the macroalgal flora of the Gulf of Trieste (Northern Adriatic Sea) using taxonomic distinctness indices. Hydrobiologia 580, 43–56. doi: 10.1007/s10750–006–0466–8
  • 6. Christia, C., Giordani, G., Papastergiadou, E., 2014. Assessment of ecological quality of coastal lagoons with a combination of phytobenthic and water quality indices. Marine Pollution Bulletin 86, 411–423. doi:10.1016/j.marpolbul.2014.06.038
  • 7. Clarke, K., Gorley, R., 2015. Primer v7: User Manual/Tutorial, in: Plymouth, Uk. pp. 1–296. doi: 10.1111/j.1442–9993.1993.tb00438.x
  • 8. Clarke, K.R., Gorley, R.N., 2006. PRIMER v6: User Manual/Tutorial. PRIMER-E, Plymouth UK 192 p. doi: 10.1111/j.1442–9993.1993.tb00438.x
  • 9. Clesceri, L.S., Greenberg, A.E., Eaton, A.D., 2012. Standard Methods for the Examination of Water and Wastewater, in: Standard Methods for the Examination of Water and Wastewater. p. 733.
  • 10. Copetti, D., Finsterle, K., Marziali, L., Stefani, F., Tartari, G., Douglas, G., Reitzel, K., Spears, B.M., Winfield, I.J., Crosa, G., D’Haese, P., Yasseri, S., Lürling, M., 2015. Eutrophication management in surface waters using lanthanum modified bentonite: A review. Water Research 97, 162–174. doi: 10.1016/j.watres.2015.11.056
  • 11. Graeber, D., Jensen, T.M., Rasmussen, J.J., Riis, T., Wiberg-Larsen, P., Baattrup-Pedersen, A., 2017. Multiple stress response of lowland stream benthic macroinvertebrates depends on habitat type. Science of the Total Environment 599–600, 1517–1523. doi: 10.1016/j.scitotenv.2017.05.102
  • 12. Ignatiades, L., Gotsis-Skretas, O., Pagou, K., Krasakopoulou, E., 2009. Diversification of phytoplankton community structure and related parameters along a large-scale longitudinal eastwest transect of the Mediterranean Sea. Journal of Plankton Research 31, 411–428. doi: 10.1093/plankt/fbn124
  • 13. Johnson, S.L., Ringler, N.H., 2014. The response of fish and macroinvertebrate assemblages to multiple stressors: A comparative analysis of aquatic communities in a perturbed watershed (Onondaga Lake, NY). Ecological Indicators 41, 198–208. doi: 10.1016/j.ecolind.2014.02.006
  • 14. Kuzmanovic, M., Dolédec, S., de Castro-Catala, N., Ginebreda, A., Sabater, S., Muñoz, I., Barceló, D., 2017. Environmental stressors as a driver of the trait composition of benthic macroinvertebrate assemblages in polluted Iberian rivers. Environmental Research 156, 485–493. doi: 10.1016/j.envres.2017.03.054
  • 15. NME, 2015. Supreme Decree N° 015–2015-NME – National Environmental Quality Standards for Water. Official Newspaper El Peruano 3.
  • 16. NME, 2011. National Environmental Action Plan 2011–2021. NME 2021.
  • 17. Muangthong, S., Shrestha, S., 2015. Assessment of surface water quality using multivariate statistical techniques: case study of the Nampong River and Songkhram River, Thailand. Environmental Monitoring and Assessment 187. doi: 10.1007/s10661–015–4774–1
  • 18. Petus, C., Marieu, V., Novoa, S., Chust, G., Bruneau, N., Froidefond, J.M., 2014. Monitoring spatio-temporal variability of the Adour River turbid plume (Bay of Biscay, France) with MODIS 250m imagery. Continental Shelf Research 74, 35–49. doi: 10.1016/j.csr.2013.11.011
  • 19. Primo, A.L., Marques, S.C., Falcão, J., Crespo, D., Pardal, M.A., Azeiteiro, U.M., 2012. Environmental forcing on jellyfish communities in a small temperate estuary. Marine Environmental Research 79, 152–159. doi: 10.1016/j.marenvres.2012.06.009
  • 20. Rim, A., Charff, A., Ayed, L., Khadhar, S., 2017. Effect of Water Quality on Heavy Metal Redistribution-Mobility in Agricultural Polluted Soils in Semi-Arid Region. Pedosphere 160. doi: 10.1016/S1002–0160(17)60367–9
  • 21. Ruaro, R., 2014. A scientometric assessment of 30 years of the Index of Biotic Integrity in aquatic ecosystems : Applications and main flaws. Ecological Indicators 29, 105–110. doi: 10.1016/j.ecolind.2012.12.016
  • 22. Seiler, L.M.N., Helena, E., Fernandes, L., Martins, F., Cesar, P., 2015. Evaluation of hydrologic influence on water quality variation in a coastal lagoon through numerical modeling. Ecological Modelling 314, 44–61. doi: 10.1016/j.ecolmodel.2015.07.021
  • 23. Swiech, T., Ertsen, M.W., Pererya, C.M., 2012. Estimating the impacts of a reservoir for improved water use in irrigation in the Yarabamba region, Peru. Physics and Chemistry of the Earth 47–48, 64–75. doi: 10.1016/j.pce.2011.06.008
  • 24. Wen, S., Shan, B., Zhang, H., 2012. Metals in sediment/pore water in Chaohu Lake: Distribution, trends and flux. Journal of Environmental Sciences (China) 24, 2041–2050. doi: 10.1016/S1001–0742(11)61065–6
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Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c6dfead3-47fc-4296-8e32-50ff47aef490
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