@Article{SoaresGhePezKayPae:2014:PaInCl,
author = "Soares, Helena Cachanhuk and Gherardi, Douglas Francisco Marcolino
and Pezzi, Luciano Ponzi and Kayano, Mary Toshie and Paes, Eduardo
Tavares",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Universidade Federal Rural da
Amaz{\^o}nia}",
title = "Patterns of interannual climate variability in large marine
ecosystems",
journal = "Journal of Marine Systems",
year = "2014",
volume = "134",
pages = "57--68",
month = "June",
keywords = "Climate variability, Climatic changes, Correlation analysis,
Ecosystem management, Large marine ecosystem, Ocean-atmosphere
system, Atmospheric movements, Atmospheric pressure, Climate
change, Correlation methods, Marine biology, Ocean currents, Sea
level, Tropics, Wind stress, Ecosystems, air-sea interaction,
annual variation, climate variation, correlation, marine
ecosystem, spatial variation, tropical environment, Angola,
Benguela, Brazil.",
abstract = "The purpose of this study is to investigate the vulnerability of
the Brazilian and western African Large Marine Ecosystems (LMEs)
to local and remote forcing, including the Pacific Decadal
Oscillation (PDO) regime shift. The analyses are based on the
total and partial correlation between climate indices (Niņo3,
tropical South Atlantic (TSA), tropical North Atlantic (TNA) and
Antarctic oscillation (AAO) and oceanic and atmospheric variables
(sea surface temperature (SST), wind stress, Ekman transport, sea
level pressure and outgoing longwave radiation). Differences in
the correlation fields between the cold and warm PDO indicate that
this mode exerts a significant impact on the thermodynamic balance
of the ocean-atmosphere system on the South Atlantic ocean, mainly
in the South Brazil and Benguela LMEs. The PDO regime shift also
resulted in an increase in the spatial variability of SST and wind
stress anomalies, mainly along the western African LMEs. Another
important finding is the strong AAO influence on the SST anomalies
(SSTA) in the South Brazil LME. It is also striking that TSA
modulates the relation between El Niņo-Southern Oscillation (ENSO)
and SSTA, by reducing the influence of ENSO on SSTA during the
warm PDO period in the North and East Brazil LMEs and in the
Guinea Current LME. The relation between AAO and SSTA on the
tropical area is also influenced by the TSA. The results shown
here give a clear indication that future ecosystem-based
management actions aimed at the conservation of marine resources
under climate change need to consider the high complexity of
basin-scale interactions between local and remote climate
forcings, including their effects on the ocean-atmosphere system
of the South Atlantic ocean.",
doi = "10.1016/j.jmarsys.2014.03.004",
url = "http://dx.doi.org/10.1016/j.jmarsys.2014.03.004",
issn = "0924-7963 and 1879-1573",
label = "scopus 2014-05 SoaresGhePezKayPae:2014:PaInCl",
language = "en",
url = "http://dx.doi.org/10.1016/j.jmarsys.2014.03.004",
urlaccessdate = "13 maio 2024"
}