@Article{BarbosaNovMelGasFo:2010:GeAnSp,
author = "Barbosa, Cl{\'a}udio Clemente Faria and Novo, Evlyn M{\'a}rcia
Le{\~a}o de Moraes and Melack, John M. and Gastil-Buhl, Mary and
Filho, Waterloo Pereira",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and Bren School of
Environmental Science and Management, University of California,
Santa Barbara, CA 93106, USA and Institute for Computational Earth
System Science, University of California, Santa Barbara, CA 93106,
USA and Departamento de Geografia, Universidade Federal de Santa
Maria, Faixa de Camobi, km 9, Campus Universit{\'a}rio, Santa
Maria, Rio Grande do Sul, CEP, 97105-900, Bra",
title = "Geospatial analysis of spatiotemporal patterns of pH, total
suspended sediment and chlorophyll-a on the Amazon floodplain",
journal = "Limnology",
year = "2010",
volume = "11",
number = "2",
pages = "155 - 166",
month = "Aug.",
note = "Setores de Atividade: Pesca, Aq{\"u}icultura e Atividades dos
Servi{\c{c}}os Relacionados Com Estas Atividades. and
{Informa{\c{c}}{\~o}es Adicionais: We applied spatial data
analysis and geostatistical} and procedures to pH, total suspended
sediment and and {chlorophyll-a concentration data gathered on an
Amazon} and {floodplain lake. Variographic analysis and ordinary
kriging} and {interpolation were used to identify and describe
spatiotemporal} and patterns of variability in these parameters,
which and {are relevant to understand the dynamics of water
circulation} and {on the floodplain lake. In spite of the
complexity of the} and processes underlying the spatiotemporal
patterns, this and {approach demonstrated that the heterogeneity
in the seasonal} and {water composition is forced not only by the
Amazon} and River flood pulse, but also by the lake bottom
topography and {and the wind intensity..}",
keywords = "bottom topography, chlorophyll a, concentration (composition),
floodplain, geostatistics, interpolation, kriging, lake water,
limnology, pH, remote sensing, spatial variation, suspended
sediment, temporal variation, variogram, Amazon River.",
abstract = "We applied spatial data analysis and geostatistical procedures to
pH, total suspended sediment and chlorophyll-a concentration data
gathered on an Amazon floodplain lake. Variographic analysis and
ordinary kriging interpolation were used to identify and describe
spatiotemporal patterns of variability in these parameters, which
are relevant to understand the dynamics of water circulation on
the floodplain lake. In spite of the complexity of the processes
underlying the spatiotemporal patterns, this approach demonstrated
that the heterogeneity in the seasonal water composition is forced
not only by the Amazon River flood pulse, but also by the lake
bottom topography and the wind intensity.",
doi = "10.1007/s10201-009-0305-5",
url = "http://dx.doi.org/10.1007/s10201-009-0305-5",
issn = "1439-8621",
label = "lattes: 9857505876280820 2 BarbosaMorMelGasFo:2009:GeAnSp",
language = "en",
targetfile = "barbosa.pdf",
url = "http://www.springerlink.com/content/h6412v3887v61t16/",
urlaccessdate = "08 maio 2024"
}