@Article{AlcāntaraNoBaBoStOm:2011:EnFaAs,
               author = "Alc{\^a}ntara, E. and Novo, Evlyn M{\'a}rcia Le{\~a}o de Moraes 
                         and Barbosa, C. F. and Bonnet, M. -P. and Stech, J. and Ometto, 
                         Jean Pierre",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and Universit{\'e} de Toulouse, UPS 
                         (OMP), IRD, LMTG, Toulouse, France and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Environmental factors associated with long-term changes in 
                         chlorophyll-<b><i>a</i></b> concentration in the Amazon 
                         floodplain",
              journal = "Biogeosciences",
                 year = "2011",
               volume = "8",
                pages = "3739--3770",
             keywords = "Sistemas Aqu{\'a}ticos, clorofila, s{\'e}ries temporais.",
             abstract = "Long-term environmental time series of continuously collected data 
                         are fundamental to identify and classify pulses and determine 
                         their role in aquatic systems. This paper presents in situ daily 
                         mean chlorophyll-a concentration time series, key information for 
                         the current understanding of carbon fluxes in and out of the 
                         Amazonian floodplain system. This paper also investigates how 
                         seasonal fluctuations in water level affect the relationship 
                         between chlorophyll-a concentration and some of its controlling 
                         limnological (water level, water surface temperature, pH and 
                         turbidity) and meteorological (wind intensity, relative humidity 
                         and short wave radiation) variables provided by an automatic 
                         monitoring system (Integrated System for Environmental 
                         Monitoring-SIMA) deployed at Curai Lake. The data are collected in 
                         preprogrammed time interval (1 h) and are transmitted by satellite 
                         in quasi-real time for any user in a range of 2500 km from the 
                         acquisition point. We used Pearson correlation to determine the 
                         quantitative relationship between chlorophyll-a time series and 
                         others environmental parameters. Fourier power spectrum analyses 
                         were applied to identify periods of high variability in 
                         chlorophyll-a time series and wavelet power spectrum analyses 
                         helped to characterize their time-frequency structure. To further 
                         investigate the relationship between chlorophyll-a and the 
                         statistically significant variable highlighted by Pearson's 
                         correlation, the set of time series was submitted to cross wavelet 
                         analysis. The time series of chlorophyll-a shows two high peaks 
                         (47 \μg L\−1 and 53.30 \μg L\−1) of 
                         concentration during a year: first during the rising water and 
                         second during the low water level. A small peak was observed 
                         during the high water level (10 \μg L\−1). For the 
                         most part of rising, high and receding water level, the 
                         chlorophyll-a concentration is often low (from 2.20 \μg 
                         L\−1 to 9.10 \μg L\−1). chlorophyll-a 
                         concentration displays periodicities ranging from 260 days, with a 
                         coherence of approximately 1 in phase with water level during the 
                         rising and low water period. Water level dynamics and turbidity 
                         explain 68% of the chlorophyll-a time series variability.",
                  doi = "10.5194/bgd-8-3739-2011",
                  url = "http://dx.doi.org/10.5194/bgd-8-3739-2011",
                 issn = "1726-4170",
                label = "lattes: 9857505876280820 2 Alc{\^a}ntaraNoBaBoStOm:2011:EnFaAs",
             language = "en",
           targetfile = "bgd-8-3739-2011verificar.pdf",
        urlaccessdate = "29 jun. 2024"
}