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Continental Shelf Research 25 (2005) 1836–1852
Transitional carbonate-terrigenous shelf sub-environments
inferred from textural characteristics of surficial sediments in
the Southern Gulf of Mexico
Hector A. Hernandez Aranaa,b,, Martin J. Attrillb,Richard Hartleyc, Gerardo Gold Bouchotd
aEl Colegio de la Frontera Sur, Avenida Centenario km 5.5 Apartado Postal 424 Chetumal, Quintana Roo C.P. 77000, Mé xicobMarine Biology & Ecology Research Centre, School of Biological Sciences, University of Plymouth, Drake Circus,
Plymouth PL4 8AA UK cSchool of Geography, University of Plymouth, Drake Circus, Plymouth PL4 8AA, UK
dCINVESTAV-IPN, Antigua Carretera a Progreso km 2.5 Mé rida, Yucatá n, C.P. 97310, Mé xico
Received 24 May 2004; received in revised form 20 June 2005; accepted 27 June 2005
Available online 26 August 2005
Abstract
The present study describes the spatial and temporal patterns of surficial sediments within the transition zone of theterrigenous and carbonate (CO) provinces in the Southern Gulf of Mexico after flood events during the rainy season of
1999. The sampling design consisted of two across-shelf (A, B) and two along-shelf (C, D) transects that followed depth
and sediment gradients. Twelve stations, approximately 7–8 km apart, were allocated to each transect. PVC cores of
10 cm in diameter were taken to a depth of 5 cm for organic matter (OM), CO content and grain-size analysis after
recording relevant information such as corer penetration, characteristics of the surficial layer of sediment and depth of
the soft ‘‘liquefied’’ layer if present. OM was determined by combustion and CO content was analysed by acid digestion
and titration. Size-frequency distributions (SFDs) were measured using a Malvern Mastersizer X laser particle sizer into
15 whole phi size intervals. A multivariate approach was chosen to look in detail at the derived sediment SFDs and pick
up depth-related sub-environments that would help to construct a conceptual model of sediment movement.
Additionally, OM and CO content were used to identify the relative influences of river input and CO sediment, together
with the bulk sediment surface area/OM relationship to strengthen the interpretation of sediment sources. Three sub-
environments were qualitatively identified within the Southern Gulf of Mexico and validated using a multivariate
approach, which reflect the across-shelf topography and depth gradient. The spatial pattern was temporally maintained
in relation to sediment size distribution and CO content. OM and CO content showed an inverse association in response
to the effect of fine sediment of terrigenous origin carrying adsorbed OM. In contrast, CO content seems to be related to
coarser material with less surface area and organic content. A number of differences were found between the present
ARTICLE IN PRESS
www.elsevier.com/locate/csr
0278-4343/$ - see front matterr 2005 Elsevier Ltd. All rights reserved.
doi:10.1016/j.csr.2005.06.007
Corresponding author at: El Colegio de la Frontera Sur, Avenida Centenario km 5.5 Apartado Postal 424 Chetumal, Quintana
Roo C.P. 77000, Mexico. Fax: +52 983 8350450.
E-mail address: [email protected] (H.A. Hernandez Arana).
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and previous studies carried out on the transitional area of the southern Gulf in relation to sediment size and CO
content. It is considered that these differences are mainly the consequence of local hydrology, which makes transitional
environments highly variable. As in other CO–siliclastic transitions, climate and hydrological setting are the main
controls of the dispersion and deposition of fine materials on the Southern Gulf of Mexico shelf.
r 2005 Elsevier Ltd. All rights reserved.
Keywords: Shelf sediments; Grain size; Mixed sediments; Multivariate analysis; Gulf of Mexico
1. Introduction
Two provinces constitute the Southern Gulf of
Mexico: Campeche Bank and Campeche Bay. The
former is an extensive CO shelf characterised by a
gentle slope and irregular bottom with sandbanks,
coral reefs and autochthonous biogenic and
authogenic sediments along most of the coast of
the Yucatan Peninsula (Antoine, 1972; Martin and
Bouma, 1978). Because of its karstic topography,
there is an absence of surficial runoff and the
presence of clastic sediments across the south-
western region is due to transport by currents from
Campeche Bay (Logan et al., 1969; Rezak and
Edwards, 1972). The physical properties of the
water column are considered vertically uniform,
with high salinity and density due to high
evaporation and the lack of surficial river runoff (Monreal Gomez et al., 1992). Campeche Bay is
characterised by its narrow shelf with a steep
slope; sedimentary features change into a terrige-
nous shelf of very fine silt and clay bottom,
presumably with an area of persistently turbid
bottom water (Rezak et al., 1990) due to the
presence of the Grijalva-Usumacinta and San
Pedro-San Pablo rivers’ delta system. This coastal
plain is the largest deltaic fluvial system in Mexico,
accounting for 35% of the total drainage of the
country. However, the sediment load is low(o50ton km2) and at present is undergoing
erosive processes related to coastal currents
(Aguayo Camargo et al., 1999).
The south-western region of the bank and the
continental area of the Campeche Bay have been
studied intensively due to the presence of salt
domes with oil-trapping characteristics (Bishop,
1980; Klemme, 1980). These two characteristic
provinces contain surficial sediments of different
origins, being relict marine autochthonous sedi-
ments on Campeche Bank and terrigenous un-
consolidated sediments in Campeche Bay. The
dynamics of the area produce an extensive transi-
tion zone where the interaction of river discharges,
coastal currents and intruding oceanic water
occurs, generating an area of mixed surficial
sediments (Yan ˜ ez-Arancibia and Sanchez-Gil,
1983). The criterion used to identify the transition
zone is the percentage of CO content in recent
sediments. Different authors have proposed varied
levels of CO content for this transition region,
ranging from 25% to 75%. The isoline of 75% CO
content has been proposed as the limit between the
terrigenous and CO provinces (Bello and Cano,
1991; Carranza Edwards et al., 1993). Gutierrez
Estrada and Galaviz Solis (1991) proposed a
classification system based on the amount of CO
content and mean grain size (MGS) (phi units) forsurficial sediments, providing a tool that allows the
degree of mixing of CO and terrigenous sediments
to be evaluate.
Extensive research exists on the characterisation
of the obvious, different depositional environments
(i.e. river beds, coastal dunes and beaches).
However, difficulties arise when the aim is to
differentiate samples from a more or less homo-
geneous environment (Hartmann and Christiansen,
1992; Sutherland and Lee, 1994). An additional
difficulty is present when human activities, such asoffshore oil production, contribute to a local
modification of the depositional environment. Oil
drilling activity is a prime issue of concern relating
to offshore oil production due to the use of oil-
based mud (Gray and Darley, 1981). These factors
vary in extent and are focused in localised areas of
the Southern Gulf of Mexico, providing an
opportunity to explore the interactions between a
number of natural and non-natural variables that
putatively influence surficial sediments. The present
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study aims to describe the spatial and temporal
patterns of surficial sediment within the transition
zone in the Southern Gulf of Mexico after flood
events of 1999 during the rainy season. A multi-variate approach was chosen to look in detail at the
derived sediment size-frequency distributions
(SFDs) and pick up depth-related sub-environ-
ments. Additionally, organic matter (OM) and CO
content were used to identify the relative influences
of river input and CO sediment, together with the
bulk sediment surface area/OM relationship to
strengthen the interpretation of sediment sources.
Distance of sampling stations to oilrigs was used to
determine any pattern of sediment characteristics
in relation to offshore oil-activities. Finally, we
aimed to construct a conceptual model of sediment
sources and transport from our own data and
previous studies.
2. Methods
2.1. Study area
The study area is located between latitude
191000 –191400N and longitude 911400 –921300W, in
the ‘transitional’ environment that occurs between
the CO and terrigenous provinces of the Cam-
peche Bank and Bay (Fig. 1). The study area
includes Mexico’s largest offshore oil productionregion, covering an area of 8000 km2 that includes
natural oil seeps and approximately 200 platforms
with a range of functions (Valdes and Ortega
Ramirez, 2000). The water circulation pattern is
driven by the Caribbean current during the spring
and summer, with a south to south-west direction,
but during autumn and winter the flow reverts to
an east to north-east direction (Boicourt et al.,
1998). The wind regime in the Southern Gulf of
Mexico is driven by the easterly trade all year
round, except when northern cold fronts or
‘‘northers’’ occur during autumn and winter.
‘‘Northers’’ can have high speeds (42 0 m s1)
and wind stress, and last for 1–3 days during the
winter season (Salas de Leon et al., 1992a); they
are also a mechanism for water mixing reaching
175 m deep (Vidal et al., 1994). Freshwater
discharge from the Grijalva-Usumacinta rivers
into the SW Gulf has been estimated to have an
annual average of 2.13 103 m3 s1 with peak
discharges from July to September/October
(CNA, 2001). River runoff in the SW Gulf
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Fig. 1. Study area indicating the location of stations along four transects A–D. Stations sampled for surficial sediments in November
1999, after the rainy season, and April 2000, after the northers season.
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produces a strong stratification of salinity and
density that reaches 42 km offshore from the river
mouth, affecting the top 15 m of the water column
in autumn (Monreal Gomez et al., 1992; Salas deLeon et al., 1992b). Water column stability
changes from stratified to homogeneous between
the ‘rainy’ and the ‘northers’ seasons, markedly
affecting the near-shore platform (o30 m depth)
(Czitrom et al., 1986).
2.2. Study design
The sampling design consisted of two across-
shelf (A, B) and two along-shelf (C, D) transects
(Fig. 1). Across-shelf transects started 40 km NW
off the Terminos Lagoon system and extended to
approximately 80 km offshore. Consequently,
these transects followed a depth gradient of
12–135 m and a sediment gradient of fine sand to
clay. Along-shelf transects followed a putative
sediment gradient from clay/silt to fine sand, and
CO content from 20% to 50%, whilst depth was
kept relatively constant, ranging from 30 to 50 m
(with the exception of stations D1 and D2 at 67 m
depth). These latter transects commenced
60–70 km N-NE offshore from the rivers’ mouths
and extended for approximately 80 km alongshore. Twelve stations, approximately 7–8 km
apart, were allocated to each transect. By sampling
along putative gradients in depth and sediment
size/CO content at different times, the sampling
design effectively allows for an examination of the
influence of river runoff, winter storms and the
presence of oil activities. The intersections were
sampled twice in November and only once in
April, making a total of 48 and 44 stations,
respectively.
2.3. Sampling methodology
Sampling was carried out from 11 to 13
November 1999 after the ‘rainy’ season and from
14 to 16 April 2000 after the ‘northers’ season.
Stations were located and positioned using the
satellite navigation system of the vessel, and
sampled (without replication) using a box corer.
The recovered core was sub-sampled for OM, CO
content and grain-size analysis after recording
relevant information such as corer penetration,
characteristics of the surficial layer of sediment
and depth of the soft ‘‘liquefied’’ layer if present.
Samples were taken using a PVC core of 10 cm indiameter to a depth of 5 cm, transferred to a
previously labelled plastic bag and frozen until
analysis.
2.4. Laboratory analyses
OM was determined by combustion (Dean,
1974) and CO content was analysed by acid
digestion and titration (Holme and McIntyre,
1984). SFDs were measured using a Malvern
Mastersizer X laser particle sizer (Wolfe and
Michibayashi, 1995) into 15 whole phi size
intervals. The analysis model was ‘‘very polydis-
persed’’, the scatter matrix for Mie theory correc-
tion was 2OHD and the particle refractive index
approximately 2.53. The analysis size spectrum
ranged from 0.1 to 2000 mm. Two sets of lenses
were employed, a 45 mm for the range size of
0.1–80 mm and a 1000mm for the size range of
4–2000 mm. Samples were dispersed in a 0.1%
sodium hexametaphosphate solution and soni-
cated for 30 s. The resultant grain-size distribu-
tions correspond to an average of five runsmeasured from the 1000 mm lens data and blended
with one reading on the 45 mm lens.
2.5. Data analysis
The Malvern Mastersizer X program was used
to calculate the moment descriptive statistics of
MGS, sorting, skewness and kurtosis. Additional
data included the specific surface area of the
sediments (SSAS, expressed as m2 g1 and calcu-
lated as spherical theoretical proxies assuming adensity of 2.65 g cm3 for the sediment), percen-
tage of sand, silt, clay and modal fractions. Based
on field observations of sediment characteristics
and depth intervals, the samples were divided into
three sub-environments. Initially, this included the
near-shore at depths lower than 30 m, inner shelf
at depth between 30 and 50 m and outer shelf at
depths greater than 50 m.
Multivariate analysis was undertaken using
the PRIMER (Clarke et al., 2001) and the
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Statgraphics plus 4.1v packages. Correlation-
based PCA ordination and discriminant analysis
(DA) were run with two data sets from both
sampling dates: (1) Arc-sin transformed data of the 92 SFDs plus bulk OM and CO content. (2)
Derived moment descriptive statistics (MGS,
sorting, skewness) from the 92 SFDs, SSAS, bulk
OM and CO content. The objective was to look at
particular sizes of sediment that could provide an
insight into any existing gradient or pattern of
depositional sub-environments and to compare
with the summarising statistics seeking to obtain a
better environmental ordination that allows vali-
dating a priori proposed classification. This type of
analysis has been used previously to identify
and differentiate sedimentary environments
(Ferna ´ ndez et al., 2003; Barcelo ´ et al., 1999;
Syvitsky, 1991). Histograms of SFD were em-
ployed to visualise our proposed conceptual model
of across-shelf sediment transport. In order to
further validate our proposed a priori classifica-
tion of sub-environments two textural classifica-
tion were employed. One was based on CO content
and sediment MGS (Gutierrez Estrada and
Galaviz Solis, 1991) and a further three compo-
nent classification scheme was based on sand/silt/
clay ratios using ternary plots in order to
distinguish between different hydrodynamic re-
gimes (Flemming, 2000). Spearman correlation
analyses were performed to investigate the correla-
tion between OM and CO content with sedimentgrain-size parameters as a tool to investigate
sediment sources.
3. Results
Field observations provided insights for a
preliminary qualitative classification. Three sub-
environments were distinguished by sediment
compaction (measured qualitatively as depth of
main core penetration), bivalve and gastropod
shell abundance and the occurrence of a top layer
of liquid dense mud: near-shore, inner and outer
shelf (Table 1). The sampling after the rainy season
coincided with conditions derived from a very
heavy rainy season with serious flooding along the
south and south-western Gulf coast of Mexico.
Therefore, an increased sediment load was dis-
charged onto the continental shelf of the Cam-
peche Bay and Bank. Samples taken after the
‘northers’ season will have been affected by pulses
of strong northerly winds up to 17 m s1, which
occurred during autumn and winter and are
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Table 1
Preliminary classification of three sub-environments based on field observations of sediment characteristics during the sampling
programs of November 1999 and April 2000 in the Southern Gulf of Mexico
Sub-environment Core penetration (cm) Shell content Sediment firmness Other observations
Near-shore, 12–27m
deep. Stations 1–5 of
transects A and B
25–35 Abundant, particularly
oyster shells on transect
B
Top layer of dense
liquid mud 3–5 cm deep.
Absent in April. Below
it a well-compacted fine
matrix grey in color
Wood and seagrass
debris
Inner shelf, 30–50 mdeep. Stations 6–8 of
transects A and B.
Stations 1–12 of transect
C. Stations 3–12 of
transect D
35–60 A gradient of scarce toabundant from the SW
to NE of transects C
and D
Top layer of denseliquid mudo3cm,
below it a soft greenish
(plasticine consistency)
sediment of 10–20 cm
deep in November and
5–10 cm deep in April
Wood debris (south-west end of transect C)
and tar present at the
crossing of the transects
Outer shelf, 450–130m
depth. Stations 9–12 of
transects A and B.
Stations 1 and 2 of
transect D
40–55 Abundant pteropod and
Foraminifera shells
Top layer of soft greyish
(plasticine consistency)
sediment of 20 cm deep
in November and
5–15 cm deep in April
Tar in some samples
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associated with intense wave action. Mean and
extreme values of moment descriptive statistics for
each of the three sub-environments for both
sampling dates (Table 2) indicated a gradient of sediment grain size and skewness from the near-
shore to the outer shelf, i.e. a gradient of coarse silt
to fine silt across the shelf with an excess of fine
particles towards the deeper areas.
3.1. Multivariate statistical analysis
Fig. 2 displays the factor-scores of the PCA
ordination using SFD, OM and CO content
(Fig. 2a) and moment descriptive statistics, SSAS,
OM and CO content (Fig. 2b) for both sampling
dates. PC1 in Fig. 2a explains the largest amount
of variation (75.3%). Therefore, the most influen-
tial variable is CO content followed by the 32 mm
fraction; high CO content and high percentages of
coarse silt are accounting the most for the near-
shore separation (Table 3a). The inner and outershelf are characterised by a gradual increase of
finer material and dilution of CO content, inferred
form the negative loading of the third most
influential variable (4mm fraction) and the positive
loading of the CO content. The second PC
explains a small amount of variation (10%) and
the most influential variables with negative load-
ings were CO content and the 8–16 mm fraction.
PC1 in Fig. 2b explains 52% of variation and
shows a similar pattern of across-shelf changes in
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Table 2
Mean and extreme values of moment descriptive statistics for
three shelf sub-environments classified qualitatively based on
field observations of sediment characteristics during the
sampling programs of November 1999 and April 2000 in theSouthern Gulf of Mexico
Mean grain size Sorting Skewness Kurtosis
November 1999
Near-shore
Maximum 6.82 2.56 1.69 6.75
Minimum 4.79 1.45 0.14 3.12
Average 5.65 1.97 0.76 4.30
Inner shelf
Maximum 7.39 2.47 0.67 4.86
Minimum 6.24 1.56 0.63 2.62
Average 7.15 1.72 0.35 3.54
Outer shelf
Maximum 7.55 3.28 0.38 6.5
Minimum 6.38 1.55 1.1 3.21
Average 7.36 1.89 0.28 4.66
April 2000
Near-shore
Maximum 6.07 3.43 1.30 4.85
Minimum 4.67 1.82 0.26 2.04
Average 5.49 2.16 0.69 3.85
Inner shelf
Maximum 7.43 2.38 0.66 5.79
Minimum 6.86 1.59 1.13 3.14Average 7.17 1.77 0.25 3.78
Outer shelf
Maximum 7.60 2.24 0.42 6.61
Minimum 7.32 1.62 1.26 2.97
Average 7.44 1.78 0.07 4.21
PC1
P C 2
-15 -5 5 15 25 35 45-10
0
10
20
30
(a)
PC1
P C 2
-2.6 -0.6 1.4 3.4 5.4-1.8
0.2
2.2
4.2
6.2
(b)
Fig. 2. PCA ordinations plotting factor-scores for samples
taken during the rainy (open symbols) and northers (closed
symbols) seasons from the Southern Gulf of Mexico using dataof: (a) 92 SFDs, SSAS, bulk OM and CO content; (b) derived
sediment moment statistics, SSAS, bulk OM and CO content
(&, near-shore; n, inner shelf; B, outer shelf).
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sediment size, as noted from the most influential
variables such as SSAS, sediment MGS and the
dilution of CO material by terrigenous input
(indicated by the coefficient of OM and CO content).
PC2 explains 22% of variation and is influenced
mainly by sediment standard deviation (sorting) and
skewness, the difference in signs for sorting and
skewness coefficients indicating that their influence
occurs in opposite directions (Table 3b). In sum-
mary, the plots of PCA factor-scores showed a
depth-related gradient with the near-shore clearly
separated from the inner shelf, which in turn grades
smoothly into the outer shelf, with samples from the
outer shelf clustered together at the far right side of the plots.
The depth gradient observed in the PCA
ordinations along PC1 provides insight into the
hydrodynamics of the area. From the sediment
size spectrum histograms, a relative high contribu-
tion of coarse silt and sand fractions (432 mm) is
observed at the near-shore (Fig. 3). Those frac-
tions decrease at the inner shelf with a correspond-
ing increase of fine to medium silts (4 and 16 mm).
There is little difference between the inner shelf
and outer shelf; however, the relative contribution
of sediment fractions between 16 and 63mm is
reduced and substituted by an increase in fractions
between 1 and 2 mm (clay and very fine silt). The
sediment grain-size distributions present a normal
gradient of deposition, changing from coarser to
finer with increasing depth and becoming more
negatively skewed (decreasing values) from the
near-shore towards the outer shelf, indicating an
across-shelf direction of transport. Temporal
differences were not observable at any of the three
shelf sub-environments.
A DA was performed to validate the proposedqualitative classification of three sub-environ-
ments. Fig. 4 displays the results of the first and
second discriminant functions (df) that best
separate the three sub-environments for the
combined sampling dates using SFD, OM and
CO content data, with 96.74%. The percent of
stations correctly classified within the three
proposed sub-environments. The relative percen-
tage of variation and the canonical correlation
value for the df1 and df2 were 83.59%, 0.95 and
16.41%, 0.82, respectively. Wilks lambda fordf1 and df2 was 0.026 and 0.32, with po0:0001.
A similar result was obtained for the data set
of moment descriptive statistics, SSAS, OM and
CO content, hence only one ordination plot is
presented.
3.2. Textural classification and sediment sources
The bivariate classification of surficial sediments
from the SW Gulf of Mexico using the data of the
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Table 3
Percentage of variation explained by the first two PCs and
coefficients in the linear combination of variables making up
the PCs
PC1 PC2
(a) For the ordination of arc-sin transformed data of 92 SFD,
bulk OM and CO content from the Southern Gulf of Mexico
% Variation 75.3 10.0
Variable loadings
OM 0.181 0.084
CO 0.360 0.276
0.1mm 0.008 0.004
0.125mm 0.025 0.006
0.25mm 0.06 0.002
0.5mm 0.114 0.015
1mm 0.179 0.044
2mm 0.262 0.0264mm 0.343 0.06
8mm 0.286 0.221
16mm 0.125 0.36
32mm 0.595 0.111
63mm 0.2 0.035
125mm 0.188 0.049
250mm 0.233 0.096
500mm 0.105 0.118
1000mm 0.04 0.157
(b) For the ordination of normalised data of derived sediment
moment statistics, SSAS, bulk OM and CO content from the
Southern Gulf of Mexico
% variation 52.1 22.5Variable loadings
SSAS (m2 gm1) 0.494 0.09
Moment MGS (phi) 0.504 0.1
Moment std. dev.(phi) 0.233 0.626
Moment skewness 0.228 0.691
Moment kurtosis 0.031 0.299
OM % 0.443 0.105
CO % 0.446 0.111
Note: Bold figures are the highest coefficients for the most
important variables along the first two PCs.
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ARTICLE IN PRESS
near shore November 1999
0
5
10
15
20
25
30
35
4045
50
0
. 0 6
0
. 2 5 1 4
1 6
6 3
2 5 0
1 0 0 0
near shore April 2000
0
5
10
15
20
25
30
35
4045
50
0
. 0 6
0
. 2 5 1 4
1 6
6 3
2 5 0
1
0 0 0
inner shelf November 1999
0
5
10
15
20
25
30
35
40
45
50
0 . 0
6
0 . 2
5 1 4 1 6
6 3
2 5 0
1 0 0 0
f r e q v o l %
f r e q v o l %
f r e q v o l %
f r e q v o l %
inner shelf April 2000
0
5
10
15
20
25
30
35
40
45
50
0 . 0
6
0 . 2
5 1 4 1 6
6 3
2 5 0
1 0 0 0
outer shelf November 1999
0
5
10
15
20
2530
35
40
45
50
0 . 0
6
0 . 2
5 1 4 1 6
6 3
2 5 0
1 0 0 0
microns
f r e q v o l %
outer shelf April 2000
0
5
10
15
20
25
30
0 . 0
6
0 . 2
5 1 4 1 6
6 3
2 5 0
1 0 0 0
microns
f r e q v o l %
Fig. 3. Histograms of sediment-SFD compiled by pooling stations for the near-shore, inner and outer shelf showing the across-shelf
change in sediment grain size.
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present study, as proposed by Gutierrez Estrada
and Galaviz Solis (1991), shows two sub-environ-
ments in relation to CO content and moment
MGS (Fig. 5).
(a) Fine silt of terrigenous and calcareous origin
(o50% CO content) on the outer shelf, the
central and SW areas of the inner shelf (sites
1–8 of transect D and 1–4 of transect C).
(b) Very coarse to medium silt of calcareous origin
mixed with terrigenous material (450% COcontent) on the near-shore, the central and NE
areas of the inner shelf (sites 5–12 of transect C
and 9–12 of transect D).
Flemming’s (2000) textural classification was
employed in order to demonstrate further the
consistency of the qualitatively proposed sub-
environments’ classification in relation to sediment
composition and hydrology regime. Figs. 6a and b
show that according to Flemming’s textural
classification the studied area corresponds to a
textural class between D-I and D-II (extremely
silty slightly sandy mud and very silty slightly
sandy mud) for the near-shore sub-environment.
The inner shelf part contains few stations within
the D-II and the rest of them within the E-II
textural class (very silty slightly sandy mud and
slightly clayey silt). Most of the stations from the
outer shelf were classified within the E-II category.
Thus, in terms of textural classification there is no
clear difference between the inner and outer shelf
sub-environments. From the two plots it can be
inferred that temporal differences are minimal; thearea can be considered depositional, presenting a
selective deposition across the shelf with a higher
energy regime on the near-shore, decreasing
towards the outer shelf.
Our data suggest a relationship between sedi-
ment MGS and CO with no difference between
seasons and with CO sediments being coarser than
terrigenous ones. Percentage of CO plotted against
SSAS confirms the association (Fig. 7a), where
carbonated sediments are coarser and with less
SSAS. Similarly, an inverse relationship betweenbulk CO and OM is observed (Fig. 7b) in
November and April. The correlation between
organic content and sediment grain size has been
explained in terms of adsorption to aluminosilicate
continental shelf sediments, and also would reflect
hydrodynamic equivalence between particulate
OM and fine size sediments (Mayer, 1994).
Considering Meyer’s hypothesis that the specific
surface area of sediment controls OM in con-
tinental shelves, we explored the relationship
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Df 1
D f 2
NS
IS
OS
Centroids
-4 0 2 4 6 8
-2.7
-0.7
1.3
3.3
5.3
-2
Fig. 4. DA ordination plot for samples taken during the rainy
and northers seasons from the Southern Gulf of Mexico using
data of 92 SFDs, SSAS, bulk OM and CO content (’, near-
shore; n, inner shelf; E, outer shelf).
CO %
M G
S φ
NS IS OS
20 30 40 50 60 70 80
4.6
5.1
5.6
6.1
6.6
7.1
7.6
Fig. 5. Scatter plot of bivariate classification of surficial
sediments from the Southern Gulf of Mexico (see text for
explanation) based on CO content and sediment MGS: o50%
CO content ¼ terrigenous sediments with carbonate influence;
450% CO content¼
carbonate sediments mixed with terrige-nous material (&, near-shore; n, inner shelf; B, outer shelf).
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ARTICLE IN PRESS
Fig. 6. Textural classification of surficial sediments from the Southern Gulf of Mexico using ternary plots based upon Flemming’s
scheme of textural classes: (a) samples taken after the rainy season in November 1999 and (b) samples taken after the norther season in
April 2000 (J, near-shore; K, inner shelf; &, outer shelf).
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between SSAS for bulk sediment samples and bulk
OM. Our results indicate an overall positive
relationship (Fig. 7c) for both rainy and norther
seasons.
3.3. Along-shelf sediment characteristics
Our sampling design allowed us to remove the
previously demonstrated depth effect by consider-ing transects C and D independently. As high-
lighted earlier, there is an increasing CO content
from SW to NE along the isobaths. Table 4
contains Spearman correlation coefficients be-
tween SSAS, sediment MGS, OM and CO for
both sampling dates. The assumption previously
made, in relation to CO content with MGS and
SSAS, seems invalid after the rainy season where
no association was present, but in April there was
a weak association between CO and sediment
MGS, and CO with SSAS. The inverse relation-ship between OM and CO is maintained for both
sampling dates, although with low but significant r
coefficients. Furthermore, there is no association
between OM and sediment MGS or SSAS for the
sampling during November 1999, but a weak
relationship in April.
It is therefore a possibility that additional
sources of OM, not associated with sediment
particles, exist after the rainy season. This may
relate to the presence of oil rigs; to explore this
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CO %
S S A S m 2 / g
20 30 40 50 60 70 80
0
0.2
0.4
0.6
0.8
1
(a)
CO %
O M %
20 30 40 50 60 70 80
0
3
6
9
12
15
18
(b)
SSAS m2 /g
O M %
0 0.2 0.4 0.6 0.8 1
0
3
6
9
12
15
18
(c)
Fig. 7. Scatter plots of the association between: (a) CO content
and SSAS, r ¼ 0:
75, po0:
05; (b) OM % and CO content,r ¼ 0:60 and 0.73 for the rainy and norther season,
respectively, po0:05 and (c) OM % and SSAS, r ¼ 0:57 and
0.64 for the rainy and norther season, respectively, po0.05
(K, rainy season; +, northern season).
Table 4
Spearman correlation coefficients for the association between
specific surface area of sediment (SSAS), mean grain size
(MGS), organic matter (OM), carbonate content (CO) and
distance to oil fields on the along shelf transects sampled inNovember 1999 and April 2000
SSAS MGS OM CO
(a) Along-shelf transects C and D after the rainy season
November 1999
SSAS
MGS 0.87
OM 0.18 0.21
CO 0.28 0.35 0.41
Dist to oil fields 0.08 0.02 0.19 0.15
(b) Along-shelf transects C and D after the northers season April
2000
SSASMGS 0.83
OM 0.30 0.47
CO 0.46 0.69 0.41
Dist to oil fields 0.11 0.23 0.22 0.39
Note: Bold figures represent the highest significant r coefficients.
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further sediment variables were plotted against
estimated distances to oil rigs (distances were
roughly estimated from Nautical chart S.M. 840.
Secretaria de Marina, 1994). No relationship wasobserved between OM, sediment MGS or any of
the individual sediment size fractions and distance
to oilfields. However, it is worth pointing out that
of those sites sampled in November 1999, and with
an organic content higher than 10%, half of them
included tar balls (observed from the field and
during sample processing). In April 2000, the three
highest values of OM were found at sites where tar
balls were recorded.
4. Discussion
Both multivariate techniques allowed the pro-
posed three sub-environments to be separated,
although DA resolved the group separation better.
This outcome supports the ability of multivariate
techniques to separate spatial and temporal
patterns when present (Syvitsky, 1991; Ferna ´ ndez
et al., 2003). The clear separation of near-shore
stations from those on the inner and outer shelf
suggests that the 30m isobath is a natural
boundary for differential depositional environ-ments. The depth gradients observed in the multi-
variate ordinations can be interpreted in terms of
hydrodynamics affecting the deposited sediment
coming from river discharges, the CO shelf and in
situ production. A relatively high contribution of
coarse silt and sand fractions is observed at the
near-shore. Winnowing of the fine spectra of the
sediment grain-size distribution occurs, sizes
o32 mm being preferentially removed by the
hydrology regime occurring at the near-shore.
These finer sediments are then subsequentlydeposited across the inner shelf, where the wind
generated currents and waves are less likely to
reach the bottom (Mooers, 1976). Temporal
differences were not observable, indicating that
the mechanisms involved in the sediment transport
and deposition are continuously present within the
sampling time span.
Sediment particle size distribution is thought to
reflect the hydrodynamics of the depositional area,
and can be used to infer direction of transport
(Flemming, 2000). McLaren and Bowles (1985)
proposed a model for sequential deposits where
‘‘grain-size distributions change with the direction
of transport and can become finer, better sortedand more negatively skewed with a decreasing
energy regime’’. The Southern Gulf of Mexico
transitional continental shelf can be described as a
depositional environment, with decreasing energy
regime as depth increases. In consequence, we
would expect a change in the grain-size distribu-
tion becoming finer and more negatively skewed
(decreasing values) towards the inner and outer
shelf. Indeed sediment became finer, as noted from
the histograms of SFD and ternary plots, and
skewness values decreased along the depth gradi-
ent. Sediment type in our study area is mainly silt,
with variable amounts of sand and clay ranging
from 10% to 25%. When waves and currents act
over a cohesive sediment structure they contribute
to fluidisation and liquefaction, and the complex
mixture behaves as a dense suspension which can
be transported by weak bottom currents (Teisson
et al., 1993). Field observations were made of a
dense liquid surficial layer of sediment at the near-
shore and inner shelf during November 1999.
Drake (1999) characterised the sediment grain-size
distribution of a flood layer on the Eel shelf (Northern California) and points out that this
layer has high porosity, grain-size variability and
presents a marked change in compaction at the
pre-flood layer. We did not measure vertical
variation of grain-size distribution down the core,
but we believe that the qualitative differences on
the near-shore and inner shelf are result of the
discharges after the heavy rainy season and the
action of waves and bottom currents over a fine
sediment matrix.
Explaining the interactions between the terrige-nous and CO provinces has been difficult due to
the sampling scale applied by the few studies
undertaken in the Southern Gulf. One of the
proposed approaches is the bivariate classification
of Gutierrez Estrada and Galaviz Solis (1991).
This classification involves sediment MGS and CO
content measurements providing 14 sedimentary
units ranging from terrigenous gravel to CO
clay, with several units of mixed sediment of
different sizes. These authors draw the limit of the
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transition zone as 50% CO content and the
present study area was previously classified into
three sub-environments: (a) mixed calcareous clay
at the near-shore; (b) mixed clay at the inner shelf and (c) calcareous silt at the outer shelf. However,
when plotting our own data we found only two
sub-environments. There is an agreement in the
range of values for CO content but not in sediment
MGS. The data in this study indicate sediment
MGS within the range of very coarse to fine silt
distributed from the near-shore towards the outer
shelf, different from other studies where finer
sediment MGS (clay) was reported for the outer
shelf (see cited references in the methods section),
although sediment grain sizes were determined by
different methods. Similarly, Flemming’s textural
classification scheme using ternary plots classified
the present study area in mainly two textural
classes: (a) extremely silty slightly sandy mud and
(b) slightly clayey silt. The CO content in this
classification scheme is not considered, but it is an
important feature for the Southern Gulf of Mexico
sediment classification.
The assumption made in relation to CO sedi-
ments being coarser than terrigenous ones should
consider their physical properties. Tucker and
Wright (1990) advice caution when interpretinggrain-size data of CO material because of differ-
ences in biological destruction, disintegration and
unique hydrodynamic properties. They noted that
lime mud on the Bahamas shelf comes from
biological disintegration of calcareous algae (e.g.
Halimeda and Penicillus) and transported across
shelf. According to Logan et al. (1969), coralline
algae represent up to 30% of total grained
constituents on the inner shelf/near-shore environ-
ment of the northern part of Campeche Bank. We
considered that the association between CO andsediment size (MGS or SSAS) is useful for
inferring that CO material is continuously being
supplied towards the transitional environment,
both by direct deposition and biological disinte-
gration of shell debris (as observed from the
amount of shell fragments) and by continuous
transport from the northern shelf. There is a
frontier of influence probably resulting from an
interaction of counter-currents feeding terrigenous
material.
The association between CO and sediment MGS
contrasts with the relationship between OM and
sediment MGS. In the Western Gulf of Mexico,
rivers are the main source of terrestrial OM, whichtends to accumulate on the continental shelf
depending upon local input and shelf width
(Hedges and Parker, 1976). The correlation found
between bulk OM, CO content and SSAS provides
evidence to suggest that the interaction of terrige-
nous and CO material at the transition zone is a
consequence of the hydrodynamic behaviour of
fine sediments and the associated OM adsorbed on
its surface (Mayer, 1994). The major interaction
occurs within the near-shore sub-environment
decreasing gradually until replaced by a terrige-
nous depositional environment on the outer shelf
and the SW extreme of the inner shelf.
4.1. Across-shelf transport conceptual model in the
context of the hydrology of the Southern Gulf of
Mexico
Forcing mechanisms of sediment entrainment
and transport in the continental shelf of the Gulf
of Mexico are generally the passage of cold fronts,
plus occasional tropical storms and hurricanes
(Fuentes Yaco et al., 2001). For example, in 1999extreme wind speed during autumn and winter
reached 17 m s1 (CNA, pers. commun.) and these
winds are able to generate wave heights on the
range of 3 m. Fig. 8 depicts our conceptual model
of sediment movement and extent of the transi-
tional zone in the Southern Gulf of Mexico that
includes information from the present and pre-
vious studies. The depth profile along transects
A–B running from SE to NW shows two changes
in slope, the first occurring at 30 m deep, which we
consider as a natural boundary of wave shearstress of re-entraining sediments. Rosales Hoz et
al. (1999) have inferred a south-west bottom
current near-shore; this type of current is likely
to move the entrained material from the near-
shore to the inner shelf. A second bottom current,
with N-NE direction, was inferred to be coming
from the river mouths, which they interpreted as
being responsible of transporting the terrigenous
load. This situation is likely to occur during
autumn and winter when the general superficial
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shelf circulation of the western and south-western
Gulf is shifted to flow towards the Campeche Bank(Boicourt et al., 1998). This physical setting can
explain the along-shelf spatial distribution where
terrigenous sediments are present at the SW
extreme of transects C–D and CO content
increases towards the NE.
The second change in slope that occurs at
50–60 m deep is proposed to delimit the transition
area between the inner and outer shelves. Accord-
ing to McGrail and Carnes (1983), atmospheric
forcing from autumn and winter winds in the
northern Gulf produce inertial oscillations,which propagate through the water column and
cause 20–40 cms1 bottom currents at 100 m
depth. These are able to carry sediments offshore
beyond the shelf break, as proved during
current meter mooring observations on the
Texas shelf, where a nepheloid bottom layer is
present throughout the year. This benthic nephe-
loid layer develops more easily on a muddy
substrate with an along-isobath component
(Shideler, 1981).
There has not been any published information
in relation to bottom suspended sediments in thesouthern Gulf, but the suggestion of the existence
of sediment-laden water near the bottom in
the southern Gulf area (Rezak et al., 1990) is
attractive to explain the large area of influence of
terrigenous sediments. In this situation, very dense
liquid mud generated by flocculation and sedi-
mentation from the rivers load, or from re-
entraining by hydrological conditions, can be
transported long distances by along-shelf currents,
particularly in extreme conditions of river dis-
charges as those presented during the rainyseason of 1999.
A number of models of spatial distribution of
surficial sediments have depicted the depth-related
gradient of silt and clay on the terrigenous
province, as well as the continuous transitional
change towards the CO province, as the main
characteristics in the southern Gulf. All current
models contain a highly variable description of
the transition zone as a consequence of the
extensive areas covered during those studies. There
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Fig. 8. Conceptual model of sediment transport in relation to shelf topography, wind and wave stress and regional hydrology, and
location of the transitional area based on the criteria of 25–50% carbonate content (shadowed areas) from data obtained in this and
previous studies. Current patterns were drawn from the various studies referenced in the text, with bottom currents as interpreted from
Rosales Hoz et al. (1999). Drawn isolines of 25% and 75% from Carranza Edwards et al. (1993) and isoline of 50% from Gutierrez
Estrada and Galaviz Solis (1991).
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are a number of differences between the present
model and those derived from previous studies
(Fig. 8). Carranza Edwards et al. (1993) proposed
the transitional area as the one between 25% and75% of CO content and the outer shelf area
was considered within the terrigenous province.
However, here we found that CO content is
425% for the outer shelf and the 75% limit was
not reached within our area. The most commonly
used criterion for the limit for the transitional area
is the 50% CO content and this study comple-
ments previous ones (see earlier references).
The transitional area extends to 60 km N-NE off
the rivers’ mouth at the near-shore and up to
140 km along the inner shelf. In relation to
sediment size, the SE portion of transects A–B
and NE extremes of transects C–D have been
classified as sandy, sandy mud and calcareous
mud. In this study, those areas range from sandy
mud to mud, based on Folk’s classification of
sand:mud ratio (Folk, 1954). The rest of the area
is muddy with some sandy-mud sites located near
to the oil fields. It is considered that these
differences with previous studies are mainly the
consequence of local hydrology, which makes
transitional environments highly variable. As in
other CO–siliclastic transitions (Murray et al.,1982; Roberts, 1987; Roberts and Murray, 1988;
Murray et al., 1988), climate and hydrological
setting are the main controls of the dispersion and
deposition of fine materials on the Southern Gulf
of Mexico shelf.
5. Conclusions
Three sub-environments were identified within
the Southern Gulf of Mexico using a multivariateapproach, which reflect the across-shelf topogra-
phy and depth gradient. The spatial pattern was
temporally maintained in relation to sediment
grain-size distribution and CO content. OM and
CO content showed an inverse association in
response to the effect of fine sediment of terrige-
nous origin carrying adsorbed OM. On the
contrary, CO content seems to be related to
coarser material with less SSAS and organic
content.
Re-entrainment of sediments o32 mm from the
near-shore and subsequent transport towards the
inner and outer shelf are probably caused by the
combination of wave and currents generated bywind forcing coupled to bottom currents. The
near-shore sub-environment is limited by the
730 m isobath and considered a natural boundary
for wind-wave effect on the seabed. Differences
between the inner and outer shelf are small,
grading smoothly from one to another, but
identifiable at 50–60 m depth.
River influence, measured in terms of CO
content and OM, is estimated to extent 70 km
from the river’s mouth to the shelf break and
200 km along the isobaths, covering an area of
approximately 14,000 km2 as a result of hydro-
logical dynamics. However, no increase in fine
material was observed as expected because the
very heavy rainy season of 1999. No temporal
differences were found in the amount of fine
material after 5 months, showing a conservative
transitional area in which its interaction with the
neighbouring provinces can only be measured
relative to the prevailing physical setting.
The presence of oil rigs did not show any
association with the analysed variables at the
studied scale; however, individual observations of the presence of tar balls in the sediments suggested
a local contribution from oil activities.
Acknowledgements
The British Council and CONACyT (Mexico)
are thanked for providing financial support
through a scholarship to H.A.H.A. Special thanks
are due to D. Salas de Leon and E. Escobar
Briones for providing logistic support within theoceanographic research programs PROMEBIO 2
and 3 (ICMyL-UNAM Mexico). The authors
express their gratitude to the commander and
crew of the oceanographic vessel ‘‘B./O. Justo
Sierra’’ and the M.Sc. students that provided help
during the sampling program and onboard proces-
sing of samples. H. Weissenberger is thanked for
map editing. Two anonymous referees are thanked
for their comments which contributed to the
improvement of the final manuscript.
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