@InProceedings{PacielloMelTamMetUri:2017:EfMuCo,
               author = "Paciello, V{\'{\i}}tor Zago de Almeida and Mello, Maria Hausner 
                         Burlamaqui de and Tambosi, Leandro Reverberi and Metzger, Jean 
                         Paul and Uriarte, Mar{\'{\i}}a",
                title = "Efeitos da mudan{\c{c}}a de cobertura do solo e 
                         precipita{\c{c}}{\~a}o na provis{\~a}o de recursos 
                         h{\'{\i}}dricos",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "5833--5840",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Population growth and the expansion of human activities are 
                         expected to increase by 55% the demand for water resources in the 
                         next 35 years. This demand expansion, associated to expected 
                         changes in climatic events, highlights the need to better monitor 
                         and manage water resources to ensure its long-term provision. We 
                         investigated the effects of land cover and precipitation on the 
                         quantity and quality (turbidity and dissolved soil) of water 
                         delivered to rivers in S{\~a}o Paulo state, Brazil. We analyzed 
                         water quality and quantity data from 2000 to 2015 and modelled 
                         these variables as a function of the following covariates: 
                         percentage of different land cover types (forest, silviculture, 
                         sugarcane, pasture and urban), accumulated precipitation before 
                         sample collection, MODIS-Enhanced Vegetation Index (EVI), dominant 
                         soil class and watershed area. In all our models, EVI was an 
                         important predictor of water quality and quantity. Although we 
                         detected a negative effect of forest cover on turbidity, there is 
                         a positive and stronger effect of agricultural EVI, relative to 
                         forest cover, increasing turbidity. These results suggest that 
                         reducing sediment inputs into rivers will require both forest 
                         conservation and soil protection in agricultural lands. The extent 
                         of forest cover and forest EVI were negatively associated with 
                         variation in river levels, suggesting that high vegetation 
                         structure/biomass stabilizes water flow in these rivers. We 
                         conclude that high temporal resolution EVI can help understand the 
                         effect of land cover on water provision. Finally, it is essential 
                         to protect and increase forest cover to ensure the stability of 
                         water provision.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59335",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMBQ5",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMBQ5",
           targetfile = "59335.pdf",
                 type = "Monitoramento e modelagem ambiental",
        urlaccessdate = "27 abr. 2024"
}