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@InProceedings{SoaresGherPezzKaya:2013:VuGrEc,
               author = "Soares, Helena Cachanhuk and Gherardi, Douglas Francisco Marcolino 
                         and Pezzi, Luciano Ponzi and Kaya, Mary Toshie",
          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)}",
                title = "Vulnerabilidade dos Grandes Ecossistemas Marinhos {\`a} 
                         variabilidade clim{\'a}tica interanual/ Vulnerability of Large 
                         Marine Ecosystems to interannual climate variability",
            booktitle = "Anais...",
                 year = "2013",
         organization = "Simp{\'o}sio Internacional de Climatologia, 5. (SIC).",
             keywords = "Interannual climate variability, PDO regime shift, South Atlantic 
                         ocean.",
             abstract = "RESUMO: Este estudo tem como objetivo investigar o impacto dos 
                         modos clim{\'a}ticos locais e remotos sobre os Grandes 
                         Ecossistemas Marinhos (GEMs) do Brasil e da costa oeste Africana. 
                         GEMs s{\~a}o unidades estabelecidas para a avalia{\c{c}}{\~a}o 
                         e gest{\~a}o dos recursos marinhos e foram definidas com base nas 
                         diferen{\c{c}}as de regimes hidrogr{\'a}ficos, batimetria, 
                         produtividade e popula{\c{c}}{\~o}es dependentes troficamente. 
                         Neste trabalho El Niņo Oscila{\c{c}}{\~a}o Sul (ENOS) e 
                         Oscila{\c{c}}{\~a}o Decenal do Pac{\'{\i}}fico (ODP) s{\~a}o 
                         considerados for{\c{c}}antes remotas. O modo tropical do 
                         Atl{\^a}ntico Norte (TNA), o modo tropical do Atl{\^a}ntico Sul 
                         (TSA) e a Oscila{\c{c}}{\~a}o Ant{\'a}rtica (AAO) s{\~a}o os 
                         modos locais. A pesquisa tem como base a an{\'a}lise 
                         correla{\c{c}}{\~a}o total e parcial entre os {\'{\i}}ndices 
                         clim{\'a}ticos que representam esses modos (Niņo3, TSA, TNA e 
                         AAO) e vari{\'a}veis oce{\^a}nicas e atmosf{\'e}ricas sobre o 
                         oceano Atl{\^a}ntico Sul, ou seja, temperatura da 
                         superf{\'{\i}}cie do mar (TSM), tens{\~a}o do vento, transporte 
                         de Ekman, radia{\c{c}}{\~a}o de onda longa emergente e 
                         press{\~a}o ao n{\'{\i}}vel do mar (PNM). Todas as 
                         vari{\'a}veis foram filtradas para reter a variabilidade 
                         interanual (2-7 anos), atrav{\'e}s de um filtro passa banda com 
                         base na ondaleta de Morlet, e os dados de TSM foram tamb{\'e}m 
                         submetidos ao processo de remo{\c{c}}{\~a}o de tend{\^e}ncia 
                         linear. O impacto da mudan{\c{c}}a de regime da ODP (1976/1977) 
                         nas correla{\c{c}}{\~o}es foi avaliado calculando as 
                         diferen{\c{c}}as entre as correla{\c{c}}{\~o}es para as fases 
                         quente e fria da ODP. Descobrimos que o TSA reduz a 
                         influ{\^e}ncia do fen{\^o}meno ENOS sobre as anomalias de TSM 
                         durante o per{\'{\i}}odo quente da ODP (1977-2008) nos GEMs 
                         brasileiros do Norte e Leste e no GEM da corrente da Guin{\'e}. O 
                         TSA tamb{\'e}m parece intensificar as correla{\c{c}}{\~o}es 
                         entre AAO e anomalias de TSM no Atl{\^a}ntico tropical. 
                         Correla{\c{c}}{\~o}es negativas entre AAO e anomalias de TSM 
                         foram encontrados no GEM do Sul do Brasil, este padr{\~a}o {\'e} 
                         persistente mesmo com a remo{\c{c}}{\~a}o dos outros 
                         {\'{\i}}ndices (correla{\c{c}}{\~o}es parciais). Em 
                         rela{\c{c}}{\~a}o as anomalias de TSM, tens{\~a}o do vento e 
                         PNM, {\'e} not{\'a}vel que os impactos da mudan{\c{c}}a de 
                         regime da ODP parecem ser mais intensos ao longo da costa oeste 
                         africana do que na costa brasileira. Os resultados aqui 
                         apresentados claramente indicam que as a{\c{c}}{\~o}es futuras 
                         de gest{\~a}o com base em ecossistemas, destinadas {\`a} 
                         conserva{\c{c}}{\~a}o dos recursos marinhos sob mudan{\c{c}}a 
                         clim{\'a}ticas, precisam considerar a elevada complexidade das 
                         intera{\c{c}}{\~o}es na escala de bacia entre as 
                         for{\c{c}}antes clim{\'a}ticas locais e remotas, incluindo os 
                         seus efeitos sobre o sistema oceano atmosfera do oceano 
                         Atl{\^a}ntico Sul. ABSTRACT: This study aims at investigating the 
                         impact of local and remote climate modes on the Brazilian and 
                         western African coast Large Marine Ecosystems (LMEs). The LMEs are 
                         units established for the assessment and management of marine 
                         resources and have been defined based on the differences in 
                         hydrographic regimes, bathymetry, productivity and trophycally 
                         dependent populations. In this work El Niņo Southern Oscillation 
                         (ENSO) and Pacific Decadal Oscillation (PDO) are considered as 
                         remote forcings. The tropical North Atlantic (TNA), the tropical 
                         South Atlantic (TSA) and the Antarctic Oscillation (AAO) are the 
                         local modes. The investigation is based on total and partial 
                         correlation analysis between climate indices representing these 
                         modes (Niņo3, TSA, TNA and AAO) and oceanic and atmospheric 
                         variables on the South Atlantic ocean, namely sea surface 
                         temperature (SST), wind stress, Ekman transport, outgoing longwave 
                         radiation and sea level pressure (SLP). All variables were 
                         filtered to keep the interannual variability (2 to 7 years) 
                         through a band pass filter based on the Morlet wavelet, and SST 
                         data was also linearly detrended. The impact of the PDO regime 
                         shift (1976/1977) in correlations was evaluated by calculating the 
                         differences between correlations for the warm and cold PDO phases. 
                         We found that TSA reduces the influence of ENSO on SST anomalies 
                         during the warm PDO (1977-2008) period in the North and East 
                         Brazil LMEs and in the Guinea Current LME. The TSA also seems to 
                         enhance the correlations between AAO and SST anomalies in the 
                         tropical Atlantic. Negative correlations between AAO and SST 
                         anomalies were found in the South Brazil LME, this pattern is 
                         persistent even with the removal of the other indices (partial 
                         correlations). Regarding the SST, wind stress and SLP anomalies, 
                         it is striking that the impacts of the PDO regime shift seems to 
                         be stronger along the western African than in the Brazilian coast. 
                         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.",
  conference-location = "Florian{\'o}polis, SC",
      conference-year = "15-19, set.",
        urlaccessdate = "13 maio 2024"
}


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