@Article{MaiaSantosCunhSchaCint:2012:LoEfOi,
author = "Maia Santos, Luciana Cavalcanti and Cunha-Lignon, Mar{\'{\i}}lia
and Schaeffer-Novelli, Yara and Cintr{\'o}n-Molero, Gilberto",
affiliation = "{Universidade de S{\~a}o Paulo – Instituto de Bioci{\^e}ncias}
and {Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and
U.S. Fish \& Wildlife Service, Department of Interior. Arlington,
U.S.A",
title = "Long-term effects of oil pollution in mangrove forests (Baixada
santista, southeast Brazil) detected using a GIS-based
multitemporal analysis of aerial photographs",
journal = "Brazilian Journal of Oceanography",
year = "2012",
volume = "60",
number = "2",
pages = "159--170",
month = "Apr./June",
keywords = "zona {\'u}mida costeira, sensoriamento remoto,
avalia{\c{c}}{\~a}o de impacto, monitoramento, gest{\~a}o
costeira, coastal wetland, remote sensing, impact assessment,
monitoring, coastal management.",
abstract = "Vazamentos de petr{\'o}leo s{\~a}o potenciais amea{\c{c}}as
{\`a} integridade de ecossistemas costeiros. Em outubro de 1983,
devido ao rompimento de um oleoduto, um manguezal com cerca de 300
ha, localizado na costa sudeste do Brasil foi impactado por 3.5
milh{\~o}es de litros de petr{\'o}leo. Visando avaliar os
efeitos de longo prazo do petr{\'o}leo sobre a
vegeta{\c{c}}{\~a}o do manguezal, foi realizada uma an{\'a}lise
multitemporal (1962, 1994, 2000 e 2003) de fotografias a{\'e}reas
em SIG. Fotointerpreta{\c{c}}{\~a}o, classifica{\c{c}}{\~a}o
visual, quantifica{\c{c}}{\~a}o de {\'a}reas, dados de campo e
dados estruturais da vegeta{\c{c}}{\~a}o foram utilizados na
avalia{\c{c}}{\~a}o. Antes do vazamento, a vegeta{\c{c}}{\~a}o
exibia dossel homog{\^e}neo elevado desenvolvimento estrutural.
Mais de dez anos ap{\'o}s o derrame, a vegeta{\c{c}}{\~a}o
apresentou tr{\^e}s zonas distintas, com diferentes impactos
decorrentes do derrame de petr{\'o}leo. A zona mais impactada
(10.5 ha) apresentou {\'a}rvores mortas, substrato exposto e
bosques em recomposi{\c{c}}{\~a}o com reduzido desenvolvimento
estrutural. Os resultados indicam que os distintos impactos e
recomposi{\c{c}}{\~a}o refletem a variabilidade espacial da taxa
de remo{\c{c}}{\~a}o do petr{\'o}leo em cada zona do manguezal.
A an{\'a}lise multitemporal de aerofotografias se revelou como
{\'u}til ferramenta para avaliar a capacidade de
recupera{\c{c}}{\~a}o da vegeta{\c{c}}{\~a}o e monitorar os
efeitos de longo prazo e residuais de poluentes, oferecendo
subs{\'{\i}}dios {\`a} gest{\~a}o e conserva{\c{c}}{\~a}o
dos manguezais. ABSTRACT: Oil spills are potential threats to the
integrity of highly productive coastal wetlands, such as mangrove
forests. In October 1983, a mangrove area of nearly 300 ha located
on the southeastern coast of Brazil was impacted by a 3.5 million
liter crude oil spill released by a broken pipeline. In order to
assess the long-term effects of oil pollution on mangrove
vegetation, we carried out a GISbased multitemporal analysis of
aerial photographs of the years 1962, 1994, 2000 and 2003.
Photointerpretation, visual classification, class quantification,
ground-truth and vegetation structure data were combined to
evaluate the oil impact. Before the spill, the mangroves exhibited
a homogeneous canopy and well-developed stands. More than ten
years after the spill, the mangrove vegetation exhibited three
distinct zones reflecting the long-term effects of the oil
pollution. The most impacted zone (10.5 ha) presented dead trees,
exposed substrate and recovering stands with reduced structural
development. We suggest that the distinct impact and recovery
zones reflect the spatial variability of oil removal rates in the
mangrove forest. This study identifies the multitemporal analysis
of aerial photographs as a useful tool for assessing a systems
capacity for recovery and monitoring the long-term residual
effects of pollutants on vegetation dynamics, thus giving support
to mangrove forest management and conservation.",
doi = "10.1590/S1679-87592012000200006",
url = "http://dx.doi.org/10.1590/S1679-87592012000200006",
issn = "1679-8759",
language = "en",
targetfile = "06-1.pdf",
url = "http://dx.doi.org/10.1590/S1679-87592012000200006",
urlaccessdate = "04 jun. 2024"
}