A study of the Brazilian Fernando de Noronha island and Rocas atoll wakes in the tropical Atlantic

Tchamabi, Christine Carine; Araújo, Moacyr; Silva, Marcus André; Bourlès, Bernard

doi:10.1016/j.ocemod.2016.12.009

Cited by 36 publications

(42 citation statements)

References 47 publications

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“…The increase in biological productivity in the surrounding islands has been reported in several studies as a consequence of the island mass effect (Doty and Oguri, 1956;Palacios, 2002). Patterns of plankton biomass accumulation or productivity increase near the FNA have been frequently described (Lira et al, 2014;Tchamabi et al, 2017) and related as a consequence of the island effect. Once, "Inner Sea" of FNA is dependent on the region of its surroundings where the input of macro and micronutrients from island runoff (Perissinotto et al, 2000) and contributions from benthic processes (Signorini et al, 1999) stand out as the main mechanisms contributing to high productivity during the rainy season.…”

Section: Discussionmentioning

confidence: 93%

Small-scale distribution of the mesozooplankton in a tropical insular system

et al. 2018

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In the present work, spatial and seasonal fluctuations of the abundance and diversity of mesozooplankton are presented, with special attention being given to copepod assemblages from coastal area of the Fernando de Noronha Archipelago (FNA) (3°50'24''S and 32°24'48''W). Sampling was carried out during the dry and rainy seasons of two consecutive years (July and December 2013) and (June and November 2014). A total of 37 mesozooplankton taxa were recorded, being the copepods the most diversified group (15 taxa). The Subclass Copepoda dominated in both periods sampled, comprising 53% and 86% of the total abundance in the dry and rainy season respectively. The species considered abundant were: Calanopia americana, Undinula vulgaris, Oithona plumifera and Corycaeus speciosus. The rainy season favored a significant increase in the abundance of mesozooplankton and copepods. However, a low value of the Shannon-Wiener diversity index was observed in this same seasonal period. This was explained by the dominance of the species C. americana and U. vulgaris in the studied area. Spatial differences have not been verified. The copepod assemblages was composed mostly by species considered as predator-carnivours of greater importance on the pelagic trophic web, indicators of oligotrophic conditions and components of a major portion of fish food items. Thus, we suggest that a spatially homogeneous mesozooplankton community characterizes the coastal area of Fernando de Noronha Archipelago with variations related mainly to the seasonal factor.

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Section: Discussionmentioning

confidence: 93%

Small-scale distribution of the mesozooplankton in a tropical insular system

et al. 2018

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“…The seasonal signal is mostly modulated by the Intertropical Tropical Convergence Zone (ITCZ), which reaches its southern most position between February and March and northern most position in August (Lumpkin and Garzoli, 2005;Stramma and Schott, 1999). The prevailing winds are the southeast trade winds, with greater intensities between July and August (Tchamabi et al, 2017).…”

Section: Study Areamentioning

confidence: 99%

“…The highest sea surface temperatures (SST) occurs between March and June, with values exceeding 28°C, due the occurrence of the southwestern tropical Atlantic warm pool (Cintra et al, 2015), and the lowest between August and November, (SST ~26.5°C) (Hounsou-Gbo et al, 2015;Silva et al, 2009;Tchamabi et al, 2017).…”

Section: Study Areamentioning

confidence: 99%

“…In surface, the central branch of the South Equatorial Current (cSEC) flows westward until it reaches the North Brazil Current (NBC) near the coast (Lumpkin and Garzoli, 2005;Stramma and Schott, 1999). Te cSEC is stronger between March and July and weaker between August and February (Lumpkin and Johnson, 2013;Tchamabi et al, 2017).…”

Section: Study Areamentioning

confidence: 99%

“…The configuration of the ROMS model for the simulation of circulation was based on the applied and validated by Tchamabi et al (2017). The computational domain of the model consisted of the limits of the mesh between 3°S-5°10'S and 35°W-31°W (Supp.…”

Section: Roms/medslik-ii Coupled Modelmentioning

confidence: 99%

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Simulation of Oil Spills Near a Tropical Island in the Equatorial Southwest Atlantic

et al. 2019

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In this work we coupled the Ocean Modelling System - ROMS Regional Oceanic Circulation model with the MEDSLIK-II hydrocarbon dispersion model to simulate the evolution of accidental oil spills from tankers that travel near the Fernando de Noronha Archipelago in the tropical Southwest Atlantic. Six scenarios were evaluated, consisting of three spill positions on the eastern side of the Archipelago and two months (March and July). The results show that the predominance of advective forcings would tend to counteract the oil degradation processes and shorten the time window for possible mitigation actions. The worst scenario occurred in March with the plume reaching the island within 48 hours with 2.3% of the initial volume (1350 tonnes) adhering to the shore. The affected region is part of the Fernando de Noronha Marine National Park area. We propose the delimitation of a region between 3°41.9'S and 03°57'S and ~62 km perpendicular from the eastern limit of the FNA, restrictive to tanker traffic to increase the time window response in case of an oil spill.Keywords: Semi-lagrangian model, ROMS, MEDSLIK-II, Fernando de Noronha Archipelago, Oil wheathering.

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