Available via license: CC BY 4.0
Content may be subject to copyright.
On the potential causes of the recent Pelagic Sargassum blooms
events in the tropical North Atlantic Ocean
Sandrine Djakouré1,2,4, Moacyr Araujo2,3, Aubains Hounsou-Gbo2,3 , Carlos Noriega2,3, and
Bernard Bourlès4
1Laboratoire de Physique de l’Atmosphère et de Mécanique des Fluides (LAPA-MF), UFR SSMT, Université Félix
Houphouët-Boigny, 22 BP 582 Abidjan 22, Côte d’Ivoire
2Laboratório de Oceanografia Física Estuarina e Costeira (LOFEC), Departamento de Oceanografia da Universidade Federal
de Pernambuco (DOCEAN/UFPE), Recife, PE, Brazil
3Brazilian Research Network on Global Climate Changes (Rede CLIMA), São José dos Campos, SP, Brazil
4Laboratoire d’Études en Géophysique et Océanographie Spatiales (LEGOS), UMR 5566 CNES/CNRS/IRD/UPS, Plouzané,
France
Correspondence to: Sandrine Djakouré (agre.djakoure@ird.fr)
Abstract. Since 2011, unprecedented and repetitive blooms and large mass strandings of the floating brown macroalgæ, Sar-
gassum natans and Sargassum fluitans have been reported along the West Indies, the Caribbean, the Brazilian and the West
Africa coasts. Recent studies have highlighted a new tank of Sargassum: the North Equatorial Recirculation Region of the At-
lantic Ocean. This region is located off the northeast of Brazil, approximately between the equator and 10◦N and from 50◦W
to 25◦W. The potential causes of these recent blooms and mass strandings are still poorly understood. Observational datasets5
and modelling outputs involving hydrological parameters and climate events are examined focusing on their potential feedback
on the observed blooms and mass strandings. The results show that combined conditions have been in favor of these recent
changes. High anomalously unprecedented positive sea surface temperature observed in the tropical Atlantic in 2010-2011
could have induced favorable temperature conditions for Sargassum blooms. These favorable conditions were then fed by ad-
ditional continental nutrients inputs, principally from the Amazon River. These continental nutrients load are the consequences10
of deforestation, agroindustrial and urban activities in the Amazonian forest. The results also suggest that subsurface intake of
nutrients from the equatorial upwelling could also contribute to the blooms of the Sargassum seaweed in the Atlantic Ocean
but further studies are needed to confirm these additional inputs.
Key words: Pelagic Sargassum, North Equatorial Recirculation Region, Sea Surface Temperature, Amazon River, nutrients15
1 Introduction
The Pelagic Sargassum are brown macroalgæ, which have been firstly documented in the North Atlantic Ocean by Christopher
Columbus, from the Sargasso Sea off the East Coast of the United States. Mainly two species of the genus Sargassum live and
float on the surface of the tropical Atlantic : the Sargassum natans (Linnaeus) Gaillon and the Sargassum fluitans (Børgesen)
Børgesen (Butler et al., 1983; Butler and Stoner, 1984; Lapointe, 1995; Guiry and Guiry, 2011; Szèchy et al., 2012; Smetacek20
1
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-346
Manuscript under review for journal Biogeosciences
Discussion started: 20 September 2017
c
Author(s) 2017. CC BY 4.0 License.
and Zingone, 2013; Sissini et al., 2017). The Pelagic Sargassum are also found in the northern Gulf of Mexico (Gower et al.,
2006; Gower and King, 2011; Hu et al., 2016), 90 % of Sargassum natans and 10 % of the Sargassum fluitans (Hernandez,
2011).
Since 2011, large mass strandings of the floating Sargassum have been reported along the West Indies and the Caribbean
coasts (Gower et al., 2013; Mazéas, 2014; Wang and Hu, 2017), the Brazilian coasts (Szèchy et al., 2012; Sissini et al., 2017)5
and the West Africa coasts (Smetacek and Zingone, 2013; Johnson et al., 2013; Oyesiku and Egunyomi, 2014; Sankaré et al.,
2016). These massive strandings and their locations in the topical Atlantic are unprecedented, observed almost yearly from
2011 (Wang and Hu, 2016, 2017; Sissini et al., 2017) and have important consequences for the coastal and marine ecosystems,
the water quality, the health of the population and the economic life. Such events indicate Sargassum recent changes in both
spatial and temporal distributions in the tropical North Atlantic.10
Gower et al. (2013) and Wang and Hu (2016) have highlighted a new tank of Sargassum in a region located off the northeast
of Brazil, approximately between the equator and 10◦N and from 50◦W to 25◦W, called the North Equatorial Recirculation
Region of the Atlantic Ocean (NERR, Fig. 1, bottom). During some year periods, the pelagic Sargassum are transported by the
Atlantic currents system from the northern tropical Atlantic to the Caribbean and the West Indies, as well as to West Africa.
Gower et al. (2013) have used remote sensing based on the Medium Resolution Imaging Spectrometer (MERIS) to describe15
the new Sargassum distributions in the Northern Atlantic Ocean, between 2002 and 2011. Large amounts of Sargassum natans
or Sargassum fluitans have been detected in an area off North Brazil, which is centered at about 7◦N, 45◦W and extending
from the Caribbean to Africa, from July to September 2011. Wang and Hu (2016) got similar results by using the Moderate
Resolution Imaging Spectroradiometer (MODIS) alternative floating algae index (AFAI), over the Central West Atlantic region
(0◦N-22◦N, 63◦W-38◦W) and from 2000 to 2015. Since 2011, only the year 2013 showed a minimal Sargassum coverage20
in the Central West Atlantic region. The maximum Sargassum coverage has been detected during 2015.
The causes of these recent blooms and mass strandings of Sargassum are not yet well apprehended. The knowledge about
these changes is limited and several hypotheses have been put forward: anomalous nutrient inputs from the tropical Atlantic
large rivers discharges (Amazon, Orinoco and Congo) but also by equatorial upwelling, African atmospheric dust, climate
changes induced increasing of sea water temperature and/or ocean currents changes (Johnson et al., 2013; Goes et al., 2014;25
Franks et al., 2014; Oxenford et al., 2015; Guimberteau et al., 2016).
Free floating marine plants need the energy of the sun (light) and carbon dioxide and nutrients (nitrate, phosphate, iron)
intakes for their growth (Ang, 2006; King, 2011; Sfriso and Facca, 2013; Xu et al., 2017). Gao and McKGao (1994) indicated
that the most important parameters affecting macroalgæ, such as Sargassum production, are irradiance, temperature, nutrients
and plankton grazing. Gao and Nakahara (1990) have demonstrated that the macroalgæ Sargassum horneri photosynthesis is30
correlated to the temporal changes in nitrate concentration and water temperature. Moreover, rapid water motion results in
higher productivity of macroalgæ. Indeed, increasing current speed facilitates the uptake of nutrients by macroalgæ, even in
seawater with low nutrient concentration (Gellenbeck and Chapman, 1986; Gao, 1991; Carpente et al., 1991; Gao and McKGao,
1994). Lapointe (1986, 1995) have also evinced the increased production of Sargassum natans and Sargassum fluitans by an
extra addition of phosphate and nitrate. The Sargassum productivity was enhanced in the coastal waters by nutrient loads from35
2
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-346
Manuscript under review for journal Biogeosciences
Discussion started: 20 September 2017
c
Author(s) 2017. CC BY 4.0 License.
land. Nevertheless, Sargassum natans is more nitrate than phosphate limited Lapointe (1995). Smetacek and Zingone (2013)
have also observed that the increase of Sargassum natans and Sargassum fluitans is related to higher nutrients inputs from the
Mississippi River in the Gulf of Mexico.
In addition to nutrients from rivers and equatorial upwelling, African atmospheric dust, the world’s largest dust source
(Prospero et al., 2014), has been also proposed to be a potential cause for the recent Sargassum blooms in the tropical North5
Atlantic (Johnson et al., 2013; Franks et al., 2014; Oxenford et al., 2015). The African dust transport has been found to cause
a significant degradation of soils while the re-sedimentation provides a supply of nutrients (iron, phosphate) to terrestrial
ecosystems and an increase in fertility in the area of dust settlement, as observed for the Amazon forest (Swap et al., 1992;
Scheuvens et al., 2013). Nevertheless, the amount of these nutrients inputs is significantly less than the one provided by
tropical rivers and equatorial upwelling (Prospero et al., 2014; Yu and al., 2015). Furthermore, the African aerosol transport10
has decreased over the past two decades since the peak in the 1980s (Hsu et al., 2012; Chin et al., 2014). Using AVHRR satellite,
Ridley et al. (2014) have observed a decreased of 10 % per decade from 1982 to 2008. Evan et al. (2016) have also found a
significant downward trend in African dust emission and transport related to an increase of the greenhouse gas concentrations
over the twenty-first century. The results of Wang et al. (2012) suggest a possible explanation of this mechanism for the North
Atlantic sea surface temperature (SST). Indeed, a warm (cold) North Atlantic SST produces a wet (dry) condition over Sahel15
which induces a low (high) concentration of dust in the tropical North Atlantic.
The blooms of Sargassum in the tropical Atlantic could also be due to a warmer SST associated with nutrient-enriched
oceans, induced by the continental runoff in addition to urban and agro-industrial sources (Sissini et al., 2017). Nevertheless,
these authors mentioned that alternative hypotheses need to be considered, for example for Sargassum originating from the
Mexican coast, as there is no evidence of drift from north to south. These authors concluded that the Sargassum bloom events20
are still unknown and more information are required. It is therefore important to continue the investigation and to explore new
tracks.
This paper focuses on the analysis of observations, model outputs of hydrological parameters and ocean conditions over the
tropical Atlantic basin, in order to investigate climate variations, trends or events and their potential feedback on the recent
Sargassum blooms and mass strandings. The following section describes the datasets and the methodology used for this study.25
In section 3 the major (main) results of this study are presented, before a discussion and a summary in the last section.
2 Materials and methods
To investigate the potential effects of climate variations and events on the recent occurrence of Sargassum blooms, interannual
variability of oceanic and atmospheric state-variables have been analyzed.
2.1 Sea Surface Temperature and wind stress data30
The monthly SST and wind stress data used herein are provided by the latest update of TropFlux (Air-Sea Fluxes for the
Global Tropical Oceans), products from the ESSO-Indian National Centre for Ocean Information Services. This dataset is
3
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-346
Manuscript under review for journal Biogeosciences
Discussion started: 20 September 2017
c
Author(s) 2017. CC BY 4.0 License.
made available at http://www.incois.gov.in/tropflux datasets/data. TropFlux dataset is based upon the ECMWF Re-Analysis
interim (ERA-I) and ISCCP (International Satellite Cloud Climatology Project) projects. Daily and monthly high-quality air-
sea fluxes, SST and wind stresses are produced by this project over the global tropical ocean belt (30◦N-30◦S) and are
available from 1979 to 2016. These data are gridded at a 1◦×1◦resolution (Praveen Kumar et al., 2013).
2.2 Climate indices5
Three climate indices are used : (i) the Atlantic Multi-decadal Oscillation (AMO), which is based on the average anomalies of
SST from the Kaplan SST dataset, in the North Atlantic basin over 0◦N-80◦N (Trenberth et al., 2017); (ii) the North Atlantic
Oscillation (NAO) based upon the difference of normalized sea level pressure, between Lisbon (Portugal) and Reykjavik
(Iceland) (Hurrell and for Atmospheric Research Staff , Eds) and (iii) the Atlantic Meridional Mode (AMM) index based
upon the meridional variability of the NCEP SST in the tropical Atlantic (Chiang and Vimont, 2004), obtained from the10
National Oceanic and Atmospheric Administration (NOAA). These data are available from https://www.esrl.noaa.gov/psd/gcos
wgsp/Timeseries/AMO/ for AMO index, from https://www.esrl.noaa.gov/psd/gcos wgsp/Timeseries/NAO/ for NAO index and
from https://www.esrl.noaa.gov/psd/data/timeseries/monthly/AMM/ for AMM SST index.
2.3 River discharges
In order to evaluate rivers discharges and variability and their influence on the Sargassum blooms, the products from the French15
HYBAM ”Geodynamical, hydrological and biogeochemical control of erosion/alteration and material transport in the Amazon,
Orinoco and Congo basins” Environmental Research Observatory are used. South America data are managed by the Brazilian
National Water Agency (ANA). All the dataset (daily and monthly) are freely available at http://www.ore-hybam.org/. The
Amazon River discharge data, available from 1968 to 2016, have been extracted from the Obidos station at 01.92◦S in latitude
and 55.67◦W in longitude. For the Orinoco River, we used data extracted at Ciudad Bolivar, located at 08.15◦N in latitude and20
63.54◦W in longitude, from 2003 to 2016. The Congo River discharge data have been extracted from the Brazzaville station,
at 4.26◦S in latitude and 15.25◦E in longitude, from 1990 to 2016.
2.4 Nutrients load
Due to the lack of sufficient in situ nutrients data, continental nutrients loads were estimated from statistical modelling outputs.
Formulas (1)-(4) are applied for the fluxes of dissolved inorganic nitrogen (DIN) and dissolved inorganic phosphorus (DIP)25
from regression models, which were built using 165 water systems worldwide analysis, DIN and DIP information (Smith et al.,
2003; Araujo et al., 2014). Note that the works of Smith et al. (2003) and Araujo et al. (2014) are an update analysis of the
Meybeck’s DIN and DIP estimates deduced from 30 large rivers (Meybeck, 1982; Meybeck and Ragu, 1997). The regression
models used are based on the surface water systems runoffs and the population density. The interannual surface water systems
4
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-346
Manuscript under review for journal Biogeosciences
Discussion started: 20 September 2017
c
Author(s) 2017. CC BY 4.0 License.
runoffs are extracted from the ANA and the HYBAM data sets. The population density rates for the rivers basins were extracted
from the five worldwide databases (refer to Smith et al. (2003) and Araujo et al. (2014) for more methodology details).
Log(DI N )=3.99 + 0.35 ×Log(P) + 0.75 ×Log(R)(1)
Log(DI P )=2.72 + 0.36 ×Log(P) + 0.78 ×Log(R)(2)5
where DIN, DIP are the discharged exportation into the coastal region of dissolved inorganic nitrogen (moles km−2year−1)
and the discharged exportation into the coastal region of dissolved inorganic phosphorus moles (moles km−2year−1); P is
the population density (hab km−2) and R is the surface runoff (m year−1). The nitrate (N O−
3) and the phosphate (P O−3
4)10
concentrations are then calculated using the following formula :
[NO−
3] = 62.5×DIN ×P
3600 ×24 ×365 (3)
[P O−3
4] = 45 ×DIP ×P
3600 ×24 ×365 (4)
15
where [NO−
3] is the nitrate concentration in moles m−3and [P O−3
4] the phosphate concentration in moles m−3and Q the
river discharge in m−3s−1.
We also used numerical outputs data of nitrate, phosphate, iron and chlorophyll concentrations obtained from the Marine
Copernicus MERCATOR GREEN (http://marine.copernicus.eu/). The model is forced by the biogeochemical model Pelagic20
Interaction Scheme for Carbon and Ecosystem Studies: PISCES) (Aumont and Bopp, 2006), gridded at 1◦spatial resolution,
and initialized by LEVITUS and the GLobal Ocean Data Analysis Project (GLODAP) climatologies. The rivers discharges are
initialized with the climatological datasets of Dai et al. (2009). The MERCATOR GREEN dataset is available from 1998 to
2014.
All the monthly anomalies have been calculated by removing the climatological seasonal cycle, which is the most dominant25
in the tropical Atlantic (Burls et al., 2011), and calculated over the period 1993-2015, which is the common period of most all
the variables at hand.
5
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-346
Manuscript under review for journal Biogeosciences
Discussion started: 20 September 2017
c
Author(s) 2017. CC BY 4.0 License.
3 Results
3.1 Sea Surface Temperature and climate indices
Water temperature is one of the most sensitive parameters that influence the Sargassum productivity (Gao and McKGao, 1994).
To check for any trends or events specific to the Sargassum blooms years in the tropical Atlantic, the interannual anomalies of
SSTs are analyzed (Fig. 1). The spatio-temporal variability of the SST anomalies and the surface wind stress (Praveen Kumar5
et al., 2013; Servain et al., 2014) from 2009 to 2015 are depicted for the whole Atlantic basin (Fig. 1, top). This figure presents
anomalously high positive anomalies of SST (with values greater than 1.5◦C) in the whole Atlantic basin and especially in
the northwest part of the basin, in 2010 and early 2011. These positive anomalies are associated with a very high positive
index of AMO and a strong negative index of the NAO. A cooling trend, especially in the eastern basin, is then observed
from 2012. Figure 1 (bottom) presents the interannual variability of SST anomalies in the NERR. The black stars represent the10
years of Sargassum blooms. A cool period is observed from 1979 to 1995, and from 1996 to 2015 both positive and negative
SST anomalies are portrayed. The abnormally high positive anomalies of 2010 (with values of 0.8◦C) and the negative SST
anomalies from 2012 to 2015 are also depicted.
In order to investigate climatic events that could be linked to the Sargassum blooms, the climate indices AMO and NAO,
along with the AMM are presented in Fig. 2. From 1950 to 2015, the analysis of the AMO (Fig. 2a) suggests three major15
periods: a warm phase from 1950 to 1963, a cool phase from 1964 to 1994 and a second warm phase from 1995 to 2015. Note
that AMO is a climate cycle at large time scale that affects the SSTs in the North Atlantic (McCarthy et al., 2015). A positive
(respectively negative) phase of AMO is associated with warmer (respectively cooler) SSTs in the North tropical Atlantic. The
anomalously high AMO is obtained in 2010 along with the anomalously high negative phase of the NAO (Fig. 2b) (Lefèvre
et al., 2013; Servain et al., 2014). The NAO is also a climatic index linked to the direction and magnitude of the westerly20
winds that control the location of storms in the North Atlantic basin (Hurrel, 2003). A negative NAO index is observed from
2009 to 2011, associated with weak trade winds and warmer SSTs, whereas a positive phase of NAO is observed from 2012
to 2015, associated with strong trade winds and cooler SSTs. The AMM is the dominant source of coupled ocean-atmosphere
variability in the tropical Atlantic and linked to rainfall in Northeast Brazil and tropical cyclone development in the North
Atlantic (http://www.aoml.noaa.gov/phod/research/tav/tcv/amm/index.php). A positive phase of the AMM is associated with25
a northward shift of the Atlantic Intertropical Convergence Zone (ITCZ), which causes drought in Northeast Brazil, warmer
SSTs and weaker vertical wind shear in the tropical North Atlantic (Foltz et al., 2012). From 2011 to 2012 (respectively 2013
to 2015), a positive phase (respectively a negative phase) of the AMM is observed (Fig. 2c).
3.2 Rivers discharges and nutrients load
The analysis of the Amazon, Orinoco and Congo rivers discharges (the majors rivers off western and eastern tropical Atlantic)30
(Araujo et al., 2014) is essential to better understand the origin of the Sargassum recent blooms because of the nutrients load.
Figure 3 presents the interannual (Fig. 3a), the climatology (Fig. 3b) and the anomalies of seasonal discharges (Fig. 3c) as
inferred from the HYBAM observatory database. The interannual variability of the three discharges (Fig. 3a) shows that the
6
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-346
Manuscript under review for journal Biogeosciences
Discussion started: 20 September 2017
c
Author(s) 2017. CC BY 4.0 License.
amplitude of the Amazon discharge variability is considerably larger than those of the two other rivers. From 1979 to 2015, the
Amazon River discharge oscillated between the maximum value of 30×104m3s−1, obtained in 2006 and the minimum value
of 7×104m3s−1, reached between the end of 2010 and early 2011. Note that the first Sargassum blooms have been reported
in 2011. The Orinoco and the Congo rivers discharges do not present a significant year-to-year variability. The climatological
signal (Fig. 3b) indicates that the Sargassum blooms and mass strandings in the tropical Atlantic Ocean, occurred generally5
during the ascending and the high flow of the Amazon River, i.e. from February to August. Furthermore, Sargassum mass
strandings in the West Indies and Carribean mostly occur from February to May (Gower et al., 2013; Wang and Hu, 2016),
when the Orinoco River low flow and the descending phase of the Congo River are observed. The mean seasonal anomalies
of the Amazon River (Fig. 3c) indicate that during the first year of Sargassum blooms in 2011 and Sargassum maximal spatial
coverage amount in 2015 (Wang et al., 2012), the normalized discharge anomalies are not significant, compare to the 50 %10
of the discharge standard deviation. Only the mean values from July 2013 to December 2014 and July to September 2015 are
more than 50 % of the discharge standard deviation.
Sargassum natans and Sargassum fluitans productivity is influenced by nutrients intake, and nitrate and phosphate have been
found to enhance these algae’s production (Lapointe, 1986; Gao and Nakahara, 1990; Lapointe, 1995; Smetacek and Zingone,
2013; Sissini et al., 2017). But these latter are more nitrate limited than phosphate limiting (Lapointe, 1995). Figure 4 exhibits15
the interannual variability of nitrate and phosphate fluxes anomalies for the Amazon (Fig. 4a), and the Congo rivers (Fig. 4b).
In addition to interannual variability, the mean seasonal anomalies of nitrate flux is also shown for the Amazon and the Congo
rivers (Figures 4c-d). These results are obtained from regression models built using 165 water systems worldwide analysis,
and DIN and DIP information (Smith et al., 2003; Araujo et al., 2014). Concerning the Amazon River, a clear upward trend
is noticeable from 1979 to 2015 for nitrate and phosphate. The Congo River nutrients variabilities also present an upward20
trend but not pronounced if compared to the Amazon River’s one. From 2011 to 2015, the difference between nitrate from
Amazon and Congo rivers can reach 20 kg mol d−1. The continental nutrient load from the Amazon basin during these years
is unprecedented. Furthermore, the mean seasonal average for the Amazon River from 2011 evinces the anomalously high
values of continental nitrate load during the blooms events. On the contrary, positive anomalies of nitrate fluxes for the Congo
River, from 2011 to 2015, are similar to values observed during previous years (2006 to 2010).25
In addition to continental nutrients flux from the rivers, Fig. 5 exhibits results from the Copernicus-Marine MERCATOR
GREEN products for the mean seasonal anomalies, related to the period 1998-2014: nitrate concentration in the NERR box
(Fig. 5a) and in the equatorial upwelling region [2◦S-2◦N; 0-20◦W] (Fig. 5b); phosphate concentration in the NERR box
(Fig. 5c) and in the equatorial upwelling region (Fig. 5d); iron concentration in the NERR box (Fig. 5e) and chlorophyll con-
centration in the NERR box (Fig. 5f). Due to the deepening of the thermocline in the west and its shoaling in the eastern basin,30
the values have been average from 100 mto the surface for NERR and from 40 mto the surface for the equatorial region. In
the NERR, the nitrate concentration anomalies are negative from 2010 to April-May-June 2012. During the Sargassum blooms
events, only the period from the end of 2012 to 2015 evinces high unprecedented anomalies from 1998 to 2015, with value >
0.4 µmol l−1. In contrast to the NERR region, the equatorial upwelling region exhibits high anomalies with values up to 1.35
µmol l−1during the 2011 to 2015 year period. Thereby, the limiting nutrient for the Sargassum fluitans and the Sargassum35
7
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-346
Manuscript under review for journal Biogeosciences
Discussion started: 20 September 2017
c
Author(s) 2017. CC BY 4.0 License.
natans show relative high positive anomaly of nitrate concentration with two sources (in the west and in the east) during the
recent Sargassum blooms. The same patterns are visible for the phosphate concentrations for both the NERR and the equatorial
upwelling region: the years 2011 to 2015 show unprecedented positive anomalies of phosphate in the NERR, with values as
high as 0.13 µmol l−1. Note that the variability of phosphate is usually similar to those of nitrate (Smith et al., 2003). An
increase of iron concentration, from the African dust, in the western basin has also been proposed to be a potential cause of the5
recent Sargassum blooms in the tropical Atlantic (Franks et al., 2014; Oxenford et al., 2015). Nonetheless, Fig. 5e indicates a
relative iron decrease from 2011 to 2015. Only the beginning of 2011, the end of 2012 and the beginning of 2013 show positive
anomalies of iron. However, these values are not superior to those of the period 2005-2008 when no Sargassum blooms have
been reported. From 1998 to 2010, the anomalies of chlorophyll concentration in the NERR are generally negative, then they
are positive from July to September 2011 (Fig. 5f). The highest value of 0.034 mg m−3is reached in July-August-September10
2014. Thus, the increase of chlorophyll corresponds to the period of the recent blooms of Sargassum in the tropical Atlantic.
In summary, these results mostly indicate that :
–anomalously high SSTs were present in the western basin, in the NERR in 2010 and during early 2011, when the blooms
began to be observed;15
–the Amazon River discharge is not directly linked to the blooms and mass strandings events of Sargassum, observed in
the tropical Atlantic Ocean since 2011;
–on the contrary, highest values of the Amazon River nutrients inputs, are well reached during the years when blooms
were reported from 2011.
4 Discussions and conclusions20
The potential causes of the recent Sargassum blooms events in the tropical Atlantic Ocean are studied by the analysis of climate
or environmental variations that could have generated these unprecedented and repetitive blooms. Indeed, mass strandings of
the Sargassum natans and the Sargassum fluitans have been reported along the West Indies, the Caribbean and the West
Africa coasts since 2011. These strandings have been shown to also come from a new area of Sargassum concentration, the
North Equatorial Recirculation Region of the Atlantic Ocean (NERR) (Gower et al., 2013; Wang and Hu, 2016). Sargassum25
production, is influenced principally by irradiance, temperature and nutrients (Gao and Nakahara, 1990; Gao and McKGao,
1994). Furthermore, Sargassum natans and Sargassum fluitans productivity is increased by an extra addition of nitrate and
phosphate in the coastal waters, by nutrient loads from land (Lapointe, 1986, 1995; Smetacek and Zingone, 2013).
This study presents for the most part, interannual variability of observations and model outputs data of SSTs, climate indices
and nutrients inputs (from rivers and equatorial upwelling region) and their potential effects on the Sargassum blooms.30
The results of the seasonal anomalies of SST, from 2008 to 2015, indicate that very high positive anomalies have been
observed in the whole Atlantic basin in 2010 and especially in the northwest basin and in the NERR region, in 2010 and early
8
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-346
Manuscript under review for journal Biogeosciences
Discussion started: 20 September 2017
c
Author(s) 2017. CC BY 4.0 License.
2011. The analyses of the climate indices AMO and NAO (Fig. 2) confirm that these high positive anomalies are concurrently
related, with strong high positive AMO and negative NAO indices as proposed by Lefèvre et al. (2013) and Servain et al. (2014).
This warming of the SST could have been in favor of Sargassum blooms by assuming that the optimum growth temperature for
Sargassum natans and Sargassum fluitans has been reached. Note that this optimal Sargassum growth temperature is not well
defined. Furthermore, the effect of temperature on Sargassum growth seems to be related to nutrient conditions. Indeed, it has5
been shown that an increase in temperature, from 23◦C to 29◦C has not effect on the palatability of Sargassum filipendula
but increases the rate of consumption (O’Connor, 2009; Endo et al., 2013). The growth rate of the Sargassum patens has also
been found to be increased indirectly by an increase of temperature within the range of 10◦C to 30◦C but this effect only
depends on the nutrient availability (Endo et al., 2013). Similar conclusions were made by Talling (2012) for algal growth,
which has been found to be affected by light and nutrient conditions. In contrast to 2010 to 2011, negative anomalies of SSTs10
from 2013 to 2015 were observed in the NERR <0.75◦C in average (Fig. 1), while the blooms were still observed with a
maximum spatial coverage in 2015. Considering these previous results, further studies in genetic or in biology are needed to
determine the optimal temperature for the Sargassum natans and the Sargassum fluitans maximum productivity in different
nutrient conditions.
The repetitive and unprecedented peaks in the major climate indices (NAO, AMM, AMO) have also been proposed to have15
generated these blooms phenomenon (Franks et al., 2014). Figure 2b shows a NAO positive phase from 2012 to 2015, which
may have been related to more cool waters and strong trade winds, more vertical mixing and more subsurface nutrients. Nev-
ertheless, a NAO positive phase with similar values was also observed from 1989 to 1995, but no blooms were reported during
these years. Moreover, a NAO negative phase is observed from 2010 to 2011 when the blooms occurred. So, major climate
variations in the tropical Atlantic cannot directly explain the recent Sargassum blooms. Note that, the analysis of the ITCZ20
position, from 1979 to 2015 did not reveal any abnormal event (or significant abnormalities compared to the climatological
mean) during the years of Sargassum bloom (not shown).
The study also addresses the relative importance of nutrients for Sargassum natans and Sargassum fluitans growth, principally
nitrate and phosphate as they have been identified as limiting nutrients (Lapointe, 1986, 1995; Smetacek and Zingone, 2013).
Rivers are important sources of nutrients. The Amazon, the Orinoco and the Congo Rivers are the three major rivers of the25
tropical Atlantic. The analysis of the Amazon, Orinoco and Congo Rivers discharges, indicates that the volume of water flowing
is not the dominant control of the changes in the Sargassum natans and the Sargassum fluitans ecosystem. Indeed, the discharge
normalized anomalies are not significant during the first year of Sargassum recent blooms in 2011 and Sargassum maximum
spatial coverage amount in 2015 (Wang et al., 2012). Moreover, there was none bloom that has been reported in 2006, year of
the maximum discharge for the Amazon River, which is the most important river of the world. Nevertheless, it is important to30
notice that the blooms and the mass strandings are generally observed during the ascending and high flow of the Amazon River
(Gower et al., 2013; Wang and Hu, 2016).
One important point to mention from the present study is that a good agreement is found between the continental inputs
of nitrate and phosphate from the Amazon River and the Sargassum blooms. On the contrary, the Congo River nutrients
inputs do not significantly increased during the Sargassum blooms. Thus, our results indicate that the increase of nutrients35
9
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-346
Manuscript under review for journal Biogeosciences
Discussion started: 20 September 2017
c
Author(s) 2017. CC BY 4.0 License.
may certainly be linked to the deforestation, the increase of sediments and the continental run-off in the Amazon basin ob-
served these last years. Similar conclusions in the NERR region are also suggested by the MERCATOR GREEN outputs
(Fig. 5a,c). The Brazilian government have taken steps to reduce deforestation and its effect (a decelerate trend from 2004
to 2012). But the Amazonian forest deforestation continues and an increase of 29 % in 2015 and 2016 has been reported
by the Brazilian Instituto Nacional de Pesquisas Espaciais (INPE: http://www.inpe.br/noticias/noticia.php?CodNoticia=4344;5
http://www.obt.inpe.br/prodes/index.php). Moreover, note that pollution of groundwater and river water by nitrate and phos-
phate or eutrophication, which is characterized by an excessive development of the seaweed, is a slow process which has a
deferred character. It means that it takes several years for a drop of nitrate to seep into the soil and its way into a river. The
effects of deforestation on the continental nitrate and phosphate inputs can be felt years later (Meyer-Reil and Köster, 2000).
In addition, eutrophication is also made by excessive agroindustrial and urban activities. It is also important to notice that10
Brazil has been found to be the biggest consumer of agrotoxics (fertilizers, pesticides and agricultural fertilizers) in the world,
by the increase of agroindustrial activities (https://alencontre.org/ameriques/amelat/bresil/bresil-oligopolisation-pollution-et-
agriculture.html; refer to Correio da Cidadania dated August 15th 2012). Thereby deforestation, increase of sediments and
increase of agroindustrial activities are in favor of nitrate and phosphate pollution in the Amazon River that may have in-
fluenced the recent Sargassum blooms. Similar conclusions were reached by Sissini et al. (2017). These authors argued that15
a possible explanation for the recent blooms may be linked to warmer SSTs in nutrient-enriched oceans conditions induced
by continental runoff with agroindustrial and urban origin. Thus, positive SST anomalies observed in 2010-2011 could have
induce favorable conditions for Sargassum blooms, then fed by additional nutrients inputs from the Amazon River.
This study also suggests, from very recent numerical results, that the subsurface intake of nutrients in the equatorial up-
welling region could also have contributed in the blooms and the mass strandings of the Sargassum blooms (Fig. 5b) in the20
Atlantic Ocean. However, another datasets need to be analyzed, keeping in mind that there are probably some biases in the
vertical velocity of the MERCATOR GREEN, at the equator that could artificially enhance the potential equatorial upwelling
effect. Finally, Guerreiro et al. (2017) have reported that African dust could have be a fertilizer for marine phytoplankton in
the Atlantic Ocean; further studies are also needed to evaluate the potential impact, even with weaker amount than nutrients,
of the iron and the African dust inputs in the NERR.25
This work highlights and provides new insights about of the effects of the combined warmer SSTs in 2010 and the in-
crease of nitrate and phosphate continental inputs of the Amazon River due to continental run-off generate by deforestation,
agroindustrial and urban source as the one of the main causes of the recent Sargassum blooms in the tropical Atlantic Ocean.
Additional datasets and models outputs have to be analyzed in order to continue this investigation.
Acknowledgements. This study is a part of the physical oceanography component of the French Institut de Recherche pour le Développe-30
ment (IRD/ MEDD) project "Sargasses" and was initiated during a 8 months visit of the 1st author at the Departamento de Oceanografia da
Universidade Federal de Pernambuco (DOCEAN/UFPE) in Recife. It has received funding from the Brazilian National Council for Scientific
and Technological Development (CNPq) and from IRD through the Laboratoire d’Etudes en Géophysique et Océanographie Spatiales (LE-
10
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-346
Manuscript under review for journal Biogeosciences
Discussion started: 20 September 2017
c
Author(s) 2017. CC BY 4.0 License.
GOS), UMR 5566 CNES/CNRS/IRD/UPS. The first author would like to acknowledge these or-ganizations. M. A., G. H. and C. N. thank the
support of the Brazilian Research Network on Global Climate Change-Rede CLIMA (FINEP grants 01.13.0353-00). Thanks to the authors
of data sets made available in free access. The TropFlux data is produced thanks to a collaboration between Laboratoire d’Océanographie:
Expérimentation et Approches Numériques (LOCEAN) from Institut Pierre Simon Laplace (IPSL, Paris, France) and National Institute of
Oceanography/CSIR (NIO, Goa, India), and supported by the French Institut de Recherche pour le Développement (IRD, France). TropFlux5
relies on data provided by the ECMWF Re-Analysis interim (ERA-I) and ISCCP projects. The authors also acknowledge the Marine Coper-
nicus Service and Dr Fabrice Hernandez for kindly providing the MERCATOR BIOMER data. Thanks are given to Dr Jacques Servain, Dr
Fréderic Ménard and the Mediterranean Institute of Oceanography (MIO) team and also to Dr Pierrick Penven for constructive discussions
during this work. This paper also represents a contribution to Project Pólo de Interação para o Desenvolvimento de Estudos Conjuntos em
Oceanografia do Atlântico Tropical (PILOTE), CNPq-IRD grant 490289/2013-4.10
11
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-346
Manuscript under review for journal Biogeosciences
Discussion started: 20 September 2017
c
Author(s) 2017. CC BY 4.0 License.
References
Ang, P. O.: Phenology of Sargassum spp. in Tung Ping Chau Marine Park, Hong Kong SAR, China, J. Appl. Phycol., 18, 403–410, 2006.
Araujo, M., Noriega, C., and Lefèvre, N.: Nutrients and carbon fluxes in the estuaries of major rivers flowing into the tropical Atlantic, Front.
Mar. Sci., 1:10, https://doi.org/10.3389/fmars.2014.00010, 2014.
Aumont, O. and Bopp, L.: Globalizing results from Ocean in situ iron fertilization studies, Glob. Biogeochem. Cycles, 20, 2006.5
Burls, N. J., Reason, C. J. C., Penven, P., and Philander, S. G.: Similarities between the tropical Atlantic seasonal cycle and ENSO: An
energetics perspective, J. Geophys. Res., 116, C11010, https://doi.org/10.1029/2011JC007164, 2011.
Butler, J. N. and Stoner, A. W.: Pelagic Sargassum: has its biomass changed in the last 50 years ? , Deep Sea Research, 31, 1259–1264,
https://doi.org/10.1016/0198-0149(84)90061-X, 1984.
Butler, J. N., Morris, B. F., Cadwallader, J., and Stoner, A. W.: Studies of Sargassum and the Sargassum community, 307 pp, Bermuda10
Biological Station Special Publication 22, 1983.
Carpente, R. C., Hackney, J. M., and Adey, W. H.: Measurements of primary productivity and nitrogenase activity of coral reef algae in a
chamber incorporating oscillatory flow, Limnol. Oceanogr., 36, 40–49, 1991.
Chiang, J. C. H. and Vimont, D. J.: Analogous meridional modes of atmosphere-ocean variability in the tropical Pacific and tropical Atlantic,
J. Climate, 17, 4143–4158, 2004.15
Chin, M., Diehl, T., Tan, Q., Prospero, J. M., Kahn, R. A., Remer, L. A., Yu, H., Sayer, A. M., Bian, H., Geogdzhayev, I. V., Holben, B. N.,
Howell, S. G., Huebert, B. J., Hsu, N. C., Kim, D., Kucsera, T. L., Levy, R. C., Mishchenko, M. I., Pan, X., Quinn, P. K., Schuster,
G. L., Streets, D. G., Strode, S. A., Torres, O., and Zhao, X.-P.: Multi-decadal aerosol variations from 1980 to 2009: a perspective from
observations and a global model, Atmos. Chem. Phys, 14, 3657–3690, https://doi.org/10.5194/acp-14-3657-2014, 2014.
Dai, A., Qian, T., Trenberth, K. E., and Milliman, J. D.: Changes in continental freshwater discharge from 1948-2004, J. Climate, 22,20
2773–2791, 2009.
Endo, H., Suehiro, K., Kinoshita, J., Gao, X., and Agatsuma, Y.: Combined Effects of Temperature and Nutrient Availability on Growth and
Phlorotannin Concentration of the Brown Alga Sargassum patens (Fucales; Phaeophyceae), American Journal of Plant Sciences, 4, 14–20,
https://doi.org/10.4236/ajps.2013.412A2002, http://www.scirp.org/journal/ajps, 2013.
Evan, A. T., Flamant, C., Gaetani, M., and Guichard, F.: The past, present and future of African dust, Nature,25
https://doi.org/10.1038/nature17149, 2016.
Foltz, G. R., McPhaden, M. J., and Lumpkin, R.: A strong Atlantic Merional Mode event in 2009: The role of mixed layer dynamics, J.
Climate, 25, 363–380, https://doi.org/10.1175/JCLI-D-11-00150.1, 2012.
Franks, J., Johnson, D., and Ko, D.-S.: Pelagic Sargassum; Retention and growth of pelagic sargassum in the North Equatorial Convergence
Region of the Atlantic Ocean: hypothesis for examining recent mass strandings of sargassum along Caribbean and West Africa coast, in:30
Gulf and Caribbean Fisheries Institute Caribbean Sargassum, 2014.
Gao, G. and McKGao, K. R.: Use of macroalgae for marine biomass production and CO2 remediation: a review, J. Appl. Phycol., 6, 45–60,
1994.
Gao, K.: Effects of seawater current speed on the photosynthetic oxygen evolution of Sargassum thunbergii (Phaeophyta), Jpn. J. Phycol.,
39, 291–293 (Japanese, with English summary)., 1991.35
Gao, K. and Nakahara, H.: Effects of nutrients on the photosynthesis of Sargassum thunbergii, Bot. Mar., 33, 375–383, 1990.
12
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-346
Manuscript under review for journal Biogeosciences
Discussion started: 20 September 2017
c
Author(s) 2017. CC BY 4.0 License.
Gellenbeck, K. and Chapman, D.: Feasibility of mariculture of the brown seaweed, Sargassum muticum (Phaeo- phyta): Growth and culture
conditions, culture methods, alginic acid content and conversion to methane, In Barclay WR, 1986.
Goes, J. I., Gomes, H. d. R., Chekalyuk, A. M., Carpenter, E. J., Montoya, J. P., Coles, V. J., Yager, P. L., Berelson, W. M., Capone, D. G.,
Foster, R. A., Steinberg, D. K., Subramaniam, A., and Hafez, M. A.: Influence of the Amazon River discharge on the biogeography of
phytoplankton communities in the western tropical north Atlantic, Progress in Oceanography, 120, 29–40, http://www.sciencedirect.com/5
science/article/pii/S0079661113001237, 2014.
Gower, J. and King, S.: Distribution of floating Sargassum in the Gulf of Mexico and the Atlantic Ocean mapped using MERIS, International
Journal of Remote Sensing, 32, 1917–1929, 2011.
Gower, J., Hu, C., Borstad, G., and King, S.: Ocean color satellites show extensive lines of floating Sargassum in the Gulf of Mexico, IEEE
Transactions on Geoscience and Remote Sensing, 44, 3619–3625., 44, 3619–3625, 2006.10
Gower, J., Young, E., and King, S.: Satellite images suggest a new Sargassum source region in 2011, Remote Sens Lett, 4:8, 764–773,
http://dx.doi.org/10.1080/2150704X.2013.796433, 2013.
Guerreiro, C. V., Baumann, K.-H., A, G.-J., Brummer, Fischer, G., Korte, L. F., Merkel, U., Sá, C., de Stigter, H., and Stuut, J.-B. W.:
Coccolithophore fluxes in the open tropical North Atlantic: influence of the Amazon river and of Saharan dust deposition, Biogeosciences
Discuss., https://doi.org/10.5194/bg-2017-216, 2017.15
Guimberteau, M., Ciais, P., Ducharne, A., Boisier, J. P., Aguiar, A. P. D., Biemans, H., De Deurwaerder, H., Galbraith, D., Kruijt, B.,
Langerwisch, F., Poveda, G., Rammig, A., Rodriguez, D. A., Tejada, G., Thonicke, K., Von Randow, C., Von Randow, R. C. S., Zhang,
K., and Verbeeck, H.: Impacts of future deforestation and climate change on the hydrology of the Amazon basin: a multi-model analysis
with a new set of land-cover change scenarios, Hydrol. Earth Syst. Sci. Discuss., in review, https://doi.org/10.5194/hess-2016-430, 2016.
Guiry, M. and Guiry, G.: AlgaeBase: world-wide electronic publication, Galway: National University of Ireland. Electronic Database acces-20
sible at http://www.algaebase.org/ . Searched on 10 April 2012., 2011.
Hernandez, F. J.: Sargassum in the northern Gulf of Mexico, http://www.marine.usf.edu/conferences/fio/NSTC-SOST-PI-2011/documents/
LMR/Hernandez_LMR.pdf, 2011.
Hsu, N. C., Gautam, R., Sayer, A. M.and Bettenhausen, C., Li, C., Jeong, M. J., Tsay, S.-C., and Holben, B. N.: Global and regional trends
of aerosol optical depth over land and ocean using SeaWiFS measurements from 1997 to 2010, Atmos. Chem. Phys., 12, 8037–8053,25
https://doi.org/10.5194/acp-12-8037-2012, 2012.
Hu, C., Hardy, R., and Ruder, E., e. a.: Sargassum coverage in the northeastern Gulf of Mexico during 2010 from Land-
sat and airborne observations: Implications for the Deepwater Horizon oil spill, Marine Pollution Bulletin, 107, 15–21,
https://doi.org/10.1016/j.marpolbul.2016.04.045, 2016.
Hurrel, J. W.: The North Atlantic Oscillation: Climatic Significance and Environmental Impact, American Geophysical Union,30
https://doi.org/ISBN 9780875909943, 2003.
Hurrell, J. and for Atmospheric Research Staff (Eds), N. C.: The Climate Data Guide: Hurrell North Atlantic Oscillation (NAO) Index
(station-based), Retrievedfromhttps://climatedataguide.ucar.edu/climate-data/hurrell-north-atlantic-oscillation-nao-index-station-based,
2017.
Johnson, D. R., Ko, D. S., Franks, J. S., Moreno, P., and Sanchez-Rubio, G.: The Sargassum invasion of the Eastern Caribbean and dynamics35
of the Equatorial North Atlantic, in: Proceedings of the 65th Annual Gulf and Caribbean Fisheries Institute Conference, pp. 102–103,
2013.
13
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-346
Manuscript under review for journal Biogeosciences
Discussion started: 20 September 2017
c
Author(s) 2017. CC BY 4.0 License.
King, W.: Life is Controlled by the Limiting Nutrient, http://web.colby.edu/colbyatsea/2011/02/01/
life-is-controlled-by-the-limiting-nutrient/, 2011.
Lapointe, B. E.: Phosphorus-limited photosynthesis and growth of Sargassum natans and Sargassum fluitans (Phaeophyceae) in the western
North Atlantic, Deep Sea Res., 33, 391–399, 1986.
Lapointe, B. E.: A comparison of nutrient-limited productivity in Sargassum natans from neritic vs. oceanic waters of the western North5
Atlantic Ocean, Limnology and Oceanography, 40(3), 625–633, 1995.
Lefèvre, N., Caniaux, G., Janicot, S., and Gueye, A. K.: Increased CO2outgassing in February–May 2010 in the tropical Atlantic following
the 2009 Pacific El Niño, J.Geophys. Res., 118, 1–13, https://doi.org/10.1002/jgrc.20107, 2013.
Mazéas, F.: Note Sargasses, http://www.guadeloupe.developpement-durable.gouv.fr/IMG/pdf/Note_DEAL_sur_description_et_
explications_des_echouages_Dec2014-MAJ_13aout2015.pdf, 2014.10
McCarthy, G. D., Haigh, I. D., Hirschi, J. J. M., Grist, J. P., and Smeed, D. A.: Ocean impact on decadal Atlantic climate variability revealed
by sea-level observations, Nature, 521, 508–510, https://doi.org/10.1038/nature14491, 2015.
Meybeck, M.: Carbon, nitrogen and phosphorus transport by world rivers, Am. J. Sci., 282, 401–450, https://doi.org/10.2475/ajs.282.4.401,
1982.
Meybeck, M. and Ragu, A.: Presenting the GEMS-GLORI, a compendium of world river discharge to the oceans, Ass. Hydrol. Sci. Publ.,15
243, 3–14, 1997.
Meyer-Reil, L.-A. and Köster, M.: Eutrophication of Marine Waters: Effects on Benthic Microbial Communities, Marine Poll. Bull., 41,
255–263, 2000.
O’Connor, M. I.: Warming Strengthens an Herbivore- Plant Interaction, vol. 90, Ecology, https://doi.org/10.1890/08-0034.1, 2009.
Oxenford, H. A., Franks, J., and Johnson, D.: Facing the threat of Sargassum seaweed, in: Symposium: Challenges, dialogue & cooperation20
towards Sustainability of the Caribbean Sea, 2015.
Oyesiku, O. O. and Egunyomi, A.: Identification and chemical studies of pelagic masses of Sargassum natans (Linnaeus) Gaillon and S.
fluitans (Borgessen) Borgesen (brown algae), found offshore in Ondo State, Nigeria, African Journal of Biotechnology, 13(10), 2014.
Praveen Kumar, B., Vialard, J., Lengaigne, M., Murty, V. S. N., McPhaden, M. J., Cronin, M. F., Pinsard, F., and Reddy, K. G.: TropFlux:
Air-Sea Fluxes for the Global Tropical Oceans-Description and evaluation, Clim. Dyn., 8, 1521–1543, https://doi.org/0.1007/s00382-011-25
1115-0, 2013.
Prospero, J. M., Collard, F.-X., Molinié, J., and Jeannot, A.: Characterizing the annual cycle of African dust transport to the
Caribbean Basin and South America and its impact on the environment and air quality, Global Biogeochem. Cycles, 29, 757–773,
https://doi.org/10.1002/2013GB004802, 2014.
Ridley, D. A., Heald, C. L., and Prospero, J. M.: What controls the recent changes in African mineral dust aerosol across the Atlantic?,30
Atmos. Chem. Phys., 14, 5735–5747, https://doi.org/10.5194/acp-14-5735-2014, www.atmos-chem-phys.net/14/5735/2014/, 2014.
Sankaré, Y., Komoé, K., Aka, K. S., and Fofié, N’guessan Bra Yvette ad Bamba, A.: Répartition et abondance des sargasses Sargassum
natans et Sargassum fluitans (Sargassaceae, Fucales) dans les eaux marines ivoiriennes (Afrique de l’Ouest), Int. J. Biol. Chem. Sci.,
10(4), 1853–1864, 2016.
Scheuvens, D., Schütz, L., Kandler, K., Ebert, M., and Weinbruch, S.: Bulk composition of northern African dust and its source sediments-35
A compilation, Earth-Science Reviews, 116, 170–194, http://www.sciencedirect.com/science/article/pii/S001282521200102X, 2013.
Servain, J., Caniaux, G., Kouadio, Y. K., McPhaden, M. J., and Araujo, M.: Recent climatic trends in the tropical Atlantic, Clim. Dyn., 43,
3071–3089, https://doi.org/10.1007/s00382-014-2168-7, 2014.
14
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-346
Manuscript under review for journal Biogeosciences
Discussion started: 20 September 2017
c
Author(s) 2017. CC BY 4.0 License.
Sfriso, A. and Facca, C.: Annual growth and environmental relation- ships of the invasive species Sargassum muticum and Undaria pinnatifida
in the lagoon of Venice, Estuar. Coast. Shelf S, 129, 162–172, 2013.
Sissini, M. N., Barreto, M. B. B. D. B., Szèchy, M. T. M., Lucena, M. B. D., Oliveira, M. C., Gower, J., Bastos, G. L. E. D. O., Milstein, D.,
and al.: The floating Sargassum (Phaeophyceae) of the South Atlantic Ocean- likely scenarios, Phycologia, 56 (3), 321–328, 2017.
Smetacek, V. and Zingone, A.: Green and golden seaweed tides on the rise, Nature, 504(7478), 84–88, 2013.5
Smith, S. V., Swaney, D. P., Talaue-McManus, L., Bartley, J. D., Sandhei, P. T., McLaughlin, C. J., and et al.: Humans, hydrology, and the
distribution of inorganic nutrient loading to the Ocean, Bioscience, 53, 235–245, https://doi.org/10.1641/0006-3568(2003)053, 2003.
Swap, R., Garstang, M., Greco, S., Talbot, R., and Kallberg, P.: Saharan dust in the Amazon Basin, Tellus, 44B, 133–149, 1992.
Szèchy, M. T. M., Guedes, P. M., Baeta-Neves, M. H., and Oliveira, E.: Verification of Sargassum natans (Linnaeus) Gaillon (Heterokonto-
phyta: Phaeophyceae) from the Sargasso Sea off the coast of Brazil, western Atlantic Ocean, Check List, 8(4), 638–641, 2012.10
Talling, J.: Temperature Increase–An Uncertain Stimulant of Algal Growth and Primary Production in Fresh Waters, Freshwater Biological
Association, 5(2), :73–84, https://doi.org/10.1608/FRJ-5.2.471, http://www.bioone.org/doi/full/10.1608/FRJ-5.2.471, 2012.
Trenberth, K., Zhang, R., and for Atmospheric Research Staff (Eds), N. C.: The Climate Data Guide: Atlantic Multi-decadal Oscillation
(AMO), Retrievedfromhttps://climatedataguide.ucar.edu/climate-data/atlantic-multi-decadal-oscillation-amo., 2017.
Wang, C., Dong, S., Evan, A. T., Foltz, G. R., and Lee, S.-K.: Multidecadal Covariability of North Atlantic Sea Surface Temperature, African15
Dust, Sahel Rainfall, and Atlantic Hurricanes, 25, https://doi.org/http://dx.doi.org/10.1175/JCLI-D-11-00413.1, 2012.
Wang, M. and Hu, C.: Mapping and quantifying Sargassum distribution and coverage in the Central West Atlantic using MODIS observations,
Remote Sens. Environ., 183, 350–367, http://www.sciencedirect.com/science/article/pii/S0034425716301833, 2016.
Wang, M. and Hu, C.: Predicting Sargassum blooms in the Caribbean Sea from MODIS observations, Geophys. Res. Lett., 44, 3265–3273,
https://doi.org/10.1002/2017GL072932, 2017.20
Xu, Z., Gao, G., Xu, J., and Wu, H.: Physiological response of a golden tide alga (Sargassum muticum) to the interaction of ocean acidification
and phosphorus enrichment, Biogeosciences, 14, 671–681, 2017.
Yu, H. and al.: The fertilizing role of African dust in the Amazon rainforest: A first multiyear assessment based on data from Cloud-Aerosol
Lidar and Infrared Pathfinder Satellite Observations, Geophys. Res. Lett., 42, https://doi.org/10.1002/2015GL06304, 2015.
15
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-346
Manuscript under review for journal Biogeosciences
Discussion started: 20 September 2017
c
Author(s) 2017. CC BY 4.0 License.
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
JFM--20 09
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
AMJ--2009
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
JAS--20 09
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
OND--20 09
2009
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
JFM--20 10
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
AMJ--2010
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
JAS--20 10
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
OND--20 10
2010
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
JFM--20 11
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
AMJ--2011
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
JAS--20 11
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
OND--20 11
2011
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
JFM--20 12
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
AMJ--2012
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
JAS--20 12
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
OND--20 12
2012
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
JFM--20 13
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
AMJ--2013
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
JAS--20 13
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
OND--20 13
2013
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
JFM--20 14
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
AMJ--2014
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
JAS--20 14
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
OND--20 14
2014
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
JFM--20 15
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
AMJ--2015
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
JAS--20 15
0.0 2 N .m 2
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20° E
OND--20 15
2015
19 80
19 82
19 84
19 86
19 88
19 90
19 92
19 94
19 96
19 98
20 00
20 02
20 04
20 06
20 08
20 10
20 12
20 14
2.0
1.6
1.2
0.8
0.4
0.0
0.4
0.8
SST anom aly [ C]
Raw sign al
Low -pass signa l
15° S
0°
15° N
60° W 35°W 1 0°W 15° E
NE RR
Figure 1. Upper panel: Spatial distributions of seasonal SST [◦C] and wind stress direction anomalies [N m−2] from 2009 to 2015. The
anomalies are related to the period 1993-2015 (per three months periods). The zero isotherm is represented in gray line. Lower panel:
Interannual SST anomalies [◦C], from the TropFlux dataset, related to the period 1993 to 2015, in the box NERR [0◦-10◦N; 50◦-10◦W]
from 1979 to 2015. The black stars represent the years of Sargassum blooms.
16
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-346
Manuscript under review for journal Biogeosciences
Discussion started: 20 September 2017
c
Author(s) 2017. CC BY 4.0 License.
1950
1954
1958
1962
1966
1970
1974
1978
1982
1986
1990
1994
1998
2002
2006
2010
2014
5
4
3
2
1
0
1
2
3
4
5
NAO i nde x
1950
1954
1958
1962
1966
1970
1974
1978
1982
1986
1990
1994
1998
2002
2006
2010
2014
0.6
0.4
0.2
0.0
0.2
0.4
0.6
AMO i nd ex
1950
1954
1958
1962
1966
1970
1974
1978
1982
1986
1990
1994
1998
2002
2006
2010
2014
8
6
4
2
0
2
4
6
8
10
AMM ind ex [oC]
(a)
(b)
(c)
Figure 2. Climate indices from 1950 to 2016: AMO index average value from March to May (a) [source:https://www.esrl.noaa.gov], NAO
index average value from December to February (b) [source:https://www.esrl.noaa.gov] and AMM index [source: University Wisconsin using
the NCEP SST] (c).
17
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-346
Manuscript under review for journal Biogeosciences
Discussion started: 20 September 2017
c
Author(s) 2017. CC BY 4.0 License.
Ja n Fev Mar Ap r Ma y Ju n Ju l A ug Sep Oc t No v Dec
0
10
20
30
40
50
Disc harg e [104m3s1]
Low flo w Asce ndin g Hig h fl ow
Am azon Ri ver
Ori noco Rive r
Cong o Rive r
10° S
0°
10° N
20° N
80° W 55°W 30 °W 5°W 20°E
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
2008
2010
2012
2014
10
0
10
20
30
40
50
Disc harg e [104m3s1]
Max im u m
Am azon Ri ver
Orin oco Ri ver
Cong o Rive r
1989
1991
1993
1995
1997
1999
2001
2003
2005
2007
2009
2011
2013
2015
5
4
3
2
1
0
1
2
3
4
Nor ma lized disc har ge ano m aly
Raw s igna l
+ /- 0 .5*STD 10° S
0°
10° N
20° N
80° W 60°W 4 0°W
(a)
(b)
(c)
Figure 3. Rivers discharge anomalies [m3s−1] for Amazon, Orinoco and Congo rivers: interannual (a), climatology (b) and mean seasonal
value (only for the Amazon River, c). The anomalies are related to the period 1993-2015, from HYBAM dataset. The mean seasonal value
during the Sargassum blooms events are represented in red (c). The dotted grey lines depict 50 % of the standard deviation.
18
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-346
Manuscript under review for journal Biogeosciences
Discussion started: 20 September 2017
c
Author(s) 2017. CC BY 4.0 License.
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
2008
2010
2012
2014
160
120
80
40
0
40
80
Nit rate flu x [k gmol d 1]
4
3
2
1
0
1
2
3
4
Phosp hate flu x [kgmol d 1]
Nit rat e Phospha te 10°S
0°
10°N
20°N
80°W 60°W 4 0°W
1992
1994
1996
1998
2000
2002
2004
2006
2008
2010
2012
2014
160
120
80
40
0
40
80
Nit rate flu x [k gmol d 1]
4
3
2
1
0
1
2
3
4
Phosp hate flu x [kgmol d 1]
Nit rat e Phospha te 10°S
0°
10°N
20°N
20°W 0 ° 20° E
19 90
19 92
19 94
19 96
19 98
20 00
20 02
20 04
20 06
20 08
20 10
20 12
20 14
80
60
40
20
0
20
40
60
80
Nit rat e flu x an oma ly [ kgmol d 1]
Raw i gnal
+ /- 0 .5*STD 10°S
0°
10°N
20°N
80°W 60°W 4 0°W
19 90
19 92
19 94
19 96
19 98
20 00
20 02
20 04
20 06
20 08
20 10
20 12
20 14
80
60
40
20
0
20
40
60
80
Nit rat e flu x an oma ly [ kgmol d 1]
Raw si gnal
+ /- 0 .5*STD 10°S
0°
10°N
20°N
20°W 0 ° 20° E
(a) (b)
(c) (d)
Figure 4. Continental nutrients load flux anomalies [kg mol d−1], related to the period 1993-2015: nitrate and phosphate from the Amazon
River (a) and the Congo River (b); mean seasonal nitrate for the Amazon (c) and for the Congo (d) rivers. The mean seasonal value during
the Sargassum blooms events are represented in brown (c, d).
19
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-346
Manuscript under review for journal Biogeosciences
Discussion started: 20 September 2017
c
Author(s) 2017. CC BY 4.0 License.
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
1.2
0.8
0.4
0.0
0.4
0.8
1.2
1.6
Nit rate conc ent rati on a noma ly [ umol L 1]
15° S
0°
15° N
60° W 35°W 10 °W 15 °E
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
0.2
0.1
0.0
0.1
0.2
Phosp hate conc ent rati on an oma l [ umol L 1]
15° S
0°
15° N
60° W 35°W 10 °W 15 °E
NER R
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
0.0 3
0.0 2
0.0 1
0.0 0
0.0 1
0.0 2
0.0 3
0.0 4
Mass Concen ra ion of Ch lorop hyl l [mg m 3]
15° S
0°
15° N
60° W 35°W 10 °W 15 °E
NER R
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
0.1
0.0
0.1
Iron con cent rat ion a nom aly [nm ol L 1]
15° S
0°
15° N
60° W 35°W 10 °W 15 °E
NER R
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
1.2
0.8
0.4
0.0
0.4
0.8
1.2
1.6
Nit rate conc ent rati on a noma ly [ umol L 1]
15° S
0°
15° N
60° W 35°W 10 °W 15 °E
NER R
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
0.2
0.1
0.0
0.1
0.2
Phosp hate conc ent rati on an oma l [ umol L 1]
15° S
0°
15° N
60° W 35°W 10 °W 15 °E
(a) (b)
(c) (d)
(e) (f)
Figure 5. Upper and middle panels: Mean seasonal anomalies of nitrate concentration [µmol l−1] in the box NERR [0◦-10◦N; 50◦-10◦W]
(a) and in equatorial upwelling region [2◦S-2◦N; 0◦-20◦W] (b). Mean seasonal anomalies of phosphate concentration [µmol l−1] in the
box NERR (c) and in equatorial upwelling region (d). The nitrate and the phosphate concentration have been average over 100 m(a,c) and
40 mfor (b,d). Lower panels: Mean seasonal anomalies of iron concentration [ηmol l−1] in the box NERR (e) and mean seasonal anomalies
of chlorophyll concentration [mg m−3] in the box NERR (f) from the Marine Copernicus MERCATOR GREEN products. The iron and
the chlorophyll concentration have been average over 100 min the box NERR (e,f). The mean seasonal value during the Sargassum blooms
events are represented in chocolate (a,b), in orange (c,d) in red (e) and in green (f). The anomalies are related to the period 1998-2014.
20
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-346
Manuscript under review for journal Biogeosciences
Discussion started: 20 September 2017
c
Author(s) 2017. CC BY 4.0 License.
