@InProceedings{AlvesReiFraVedPav:2015:GrPrPr,
author = "Alves, Di{\'o}genes Salas and Reis, Mariane Souza and
Fran{\c{c}}a, David Guimar{\~a}es Monteiro and Vedovato, Laura
Barbosa and Pavanelli, Jo{\~a}o Arthur Pompeu",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Gross Primary Production Variability in the Amazon River Basin
based on 2009-2011 MOD17A2 MODIS data",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "3261--3268",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "This paper presents a preliminary analysis of Gross Primary
Production (GPP) for the Amazon River basin based on the MODIS
MOD17A2 product for a 24-month period including an El Niņo-La Niņa
transition. Monthly 0.05-degree resolution MOD17A2 data from June
2009 thru May 2011 were used to produce GPP estimates for the
globe, for the Amazonian basin, and, within the basin, for
Brazilian Amazon forests. Annual GPP was estimated to be 111.8x109
MgCyear-1 for global terrestrial ecosystems, 14.8x109 MgCyear-1
(13.2% of the global GPP) for the Amazon River basin, and 7.6x109
MgCyear-1 (6.7% of the global value) for the basins forests in
Brazil. Average monthly GPP was estimated to be 1,23x109
MgCmonth-1 for the basin, and 0.63x109 MgCmonth-1 for the basins
forests in Brazil. Analysis of GPP spatial variability indicated
that GPP declined with increasing elevation, with areas below
1,250 m accounting for nearly 95% of the basins annualized GPP;
also, forest variance at the monthly scale showed that GPP was
more homogeneously distributed in forests than in the entire
basin, where GPP variability would be affected by different
factors like elevation, land cover, land use, and landscape
patterns. Principal components analysis of the 24-month time
series suggested a more important decline in forest GPP in the
southern forests in comparison with the northern ones at the onset
of the La Niņa in mid-2010. Though preliminary, these results may
help investigate how MODIS data might improve our understanding of
primary production variability due to large scale events like the
Southern Oscillations.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "643",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM4BG7",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4BG7",
targetfile = "p0643.pdf",
type = "Mudan{\c{c}}as clim{\'a}ticas",
urlaccessdate = "27 abr. 2024"
}