@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 = "16 jun. 2024"
}