Cristiane da
Silveira Fiori & Abilio Soares-Gomes
Universidade Federal Fluminense, Departamento de Biologia
Marinha, Niterói, RJ, Brazil
This work aims to determine the
taxonomic identification level needed to detect petroleum
hydrocarbon environmental impact. The investigation was
carried out at the Pargo oil production platform, located on
the Campos Basin oil field, in January (austral summer) and
July (austral winter) of 1998. The sampling design followed a
radial pattern of 11 stations arranged at 250, 500, 1000 and
3000 m off the center of the platform. Three replicate samples
were taken at each station using a box-corer device. Species
abundance was aggregated into progressively higher taxa
matrices (genus, family, class), and data were analyzed using
univariate (biological indices) and multivariate (cluster
analysis and NMDS ordination) methods. The analysis at the
species, genus and family levels showed similar results. The
observed pattern did not agree with the putative pollution
gradient, and stations were clustered according to the
cardinal points, rather than to distance from the platform.
Diversity, richness, and evenness values were lower at
northern stations, compared to southern ones. The analysis at
the class level did not show any apparent structure around the
platform. The literature about taxonomic sufficiency has
demonstrated that faunal patterns at different taxonomic
levels tend to become similar due to increased pollution.
Several authors have found a good correspondence of results
obtained at species, genus and family levels to those found in
this work, suggesting that even in species-rich tropical
communities it is possible to adopt a higher taxonomic level
monitoring program.
Keywords:
taxonomic sufficiency; marine pollution monitoring;
hydrocarbons; macrobenthos ; community structure; soft bottom;
continental shelf.
INTRODUCTION
The materials discharged from
oil and gas production platforms can potentially cause
environmental impacts. According to Blumer (1970), due to
their hydrophobic character the petroleum organic compounds
can adsorb to the particulate matter and accumulate in bottom
sediments below the aerobic surface layer, where they can
remain unchanged and toxic for long periods.
Pollutants that accumulate in
sediments can induce chronic contamination in benthic
communities (Giere, 1993 and others). Changes in benthic
community structure are widely used in environmental
monitoring programs, being an important tool in marine
pollution assessment (Warwick, 1993). In these programs, the
main goal is often to identify patterns in community structure
and to relate them to measured environmental variables,
including pollutants (Olsgard et al., 1998).
Traditionally, such benthic
environmental impact investigations require taxonomic
species-level determination. However, species identification
is an expensive and time-consuming task that could constrain
benthic surveys. To reduce such costs, several authors have
suggested the possible use of a higher level of taxonomic
resolution (e.g. Warwick, 1988; Ferraro & Cole, 1990; Drake
et
al., 1999).
In Maurer 's (2000) point of
view, taxonomic resolution sufficiency is a cost-benefit
exercise, and money accrued from reduced taxonomic services
could be allocated to other elements of a monitoring program.
According to him, another argument for taxonomic sufficiency
studies is that there is not enough expertise in monitoring
program technical staffs that can confidently and correctly
identify a broad spectrum of invertebrate taxa. Furthermore,
Warwick (1988) showed that identification based on higher taxa
might more closely reflect a contamination gradient than
analyses based on the species level. Ferraro & Cole (1990)
went further and stated that "grouping animals into higher
taxa may dampen the natural variability in the proportion of
major taxa and other measures of community structure, thus
actually improving our ability to assess small pollution
impacts".
Taxonomic sufficiency studies
search to identify supra-specific taxa (genus, family, order,
class, or phylum) which, without loss of statistical vigor,
could be used in assessing pollution impacts. Such kind of
studies are lacking in rich tropical benthic communities.
The aim of this study was to
investigate the taxonomic resolution sufficiency of a benthic
community around an offshore hydrocarbon-production platform,
located on a tropical continental shelf. This work is part of
the Pre-Monitoring Program carried out by the Brazilian
Federal Oil Company (PETROBRAS) at Campos Basin in association
with the Marine Biology Graduate Program of Universidade
Federal Fluminense.
MATERIAL AND METHODS
STUDY AREA
Campos Basin is the largest
offshore oil field in Brazil and is responsible for about 83%
of the total national oil reserve. The first drilling in the
basin was carried out in 1971 and it has been explored since
1974. This basin is situated on the continental shelf and
slope off Rio de Janeiro State, between 21o 30' and 23o 30' S.
The total oil production from the installed platforms is
1,000,000 thousands barrels.d-1, which represents
approximately 80% of the total national production.
The Pargo Platform is situated
approximately 60 km away from the coast, at about 100 m water
depth. It has been operating since 1989, discharging very
large volumes of produced waters.
The oceanographic conditions of
Campos Basin are complex, governed by oligotrophic areas
associated with tropical waters of the Brazil Current, and
mesotrophic areas due to seasonal upwelling of cold,
nutrient-rich waters - South Atlantic Central Waters - near
Cabo Frio (Emilsson, 1961; Silva, 1971; Valentin et al. 1987).
Primary productivity varies between 0.3 to 1.1 gC.m-2 .d-1 (Gaeta
et al. 1999). Freshwater input of the main rivers (Doce and
Paraíba do Sul) is only in the order of 900 m3.s-1. Broad
areas of the shelf are characterised by low organic matter
deposition (Jennerjahn & Ittekkot, 1996), with higher
concentrations of sediment organic carbon and nitrogen
occurring over the slope (Soares-Gomes et al. 1999). A
comprehensive study on the morphology and sedimentation of the
region is presented by Viana et al. (1998).
According to Soares-Gomes et
al. (1999), the mean abundance of the macrobenthos in the area
follows an inshore-offshore gradient; the abundance on the
continental shelf is an order of magnitude higher than on the
slope. Information about meiobenthos was provided by Soares-Gomes
et al. (2000) for sediments around Pargo Platform.
SAMPLING
DESIGN AND ANALYTICAL TECHNIQUES
Macrobenthos and sediment
sampling was conducted in January (summer) and July (winter)
1998, from the RV. Astro Garoupa, following a sampling design
with a radial pattern of 11 stations arranged at 250, 500,
1000, and 3000 meters around the center of Pargo Platform.
Sediment grain size was
determined by standard dry-sieved and pipette method
(Suguio,1973). Mean grain size and other granulometric
statistics were calculated using Folk and Ward’s (1957)
formula, and sediments were classified according to the
Wentworth scale (1922).
The total polyaromatic
hydrocarbons (PAHs) content in the sediment samples was
determined only on the surface layer (0-2 cm), following
UNESCO (1990).
Organic carbon and total
nitrogen were determined in a Carlo Erba CHN analizer (model
EA1110), after removal of inorganic carbon.
Surface-sediment heavy metal
concentrations around Pargo platform were described by Ovalle
et al. (2000).
In each station 3 replicate
samples were taken with a 30x30x30-cm box-corer, totalling 33
samples. The biological samples were sieved using 0.5, 1 and 2
mm mesh sieves and preserved in 5% formalin. The macrobenthos
were sorted in the laboratory under a stereomicroscope for
identification to the finest possible level.
Species abundance of
macrobenthos in each sample was aggregated to the levels of
genus, family and class.
The macrobenthos community
structure around the platform was established using univariate
measures and multivariate analysis. The following univariate
indexes were calculated for the different taxonomic levels:
abundance of individuals, specific richness (number of taxa),
Pielou evenness (j’) and Shannon diversity (h’). These
biological indexes were calculated for each station and the
results displayed as mean, minimum, and maximum values for
each distance and direction (northern and southern) from the
platform. The values of diversity and log2 of abundance were
displayed in a DIMO (Diversity Model) graphic, proposed by
Qinghong (1995). The non-metric multidimensional scaling (NMDS),
based on the square root transformed pooled data with the
Bray-Curtis similarity index, was performed using the PRIMER
software package (Clarke & Warwick, 1994).
RESULTS
Distribution of grain size was
uniform in the area. The mean sediment grain size ranged from
3.37 to 3.49 phi, and the sorting coefficient from 0.41 to
1.11 phi in summer samples. In winter samples the mean grain
size ranged from 3.19 to 3.49 phi, and the sorting coefficient
from 0.24 to 1.48 phi. These sediments could be classified as
fine sand, mostly well sorted.
Sediment organic carbon and
total nitrogen content ranged from 0.9 to 2.9 mg g-1 and < 0.1
to 0.4 mg g-1, respectively.
The sediment PAHs measured by
UVF in equivalents of crysene ranged from 3.5 to 53.4 g.g-1,
with the greatest values occurring at the 250 and 500 m
stations.
The biological indexes did not
show any expressive difference when analyzed in relation to
the distance from the platform, at all taxonomic levels.
Nevertheless, some pattern in the macrobenthic community
emerged in relation to direction away from the center of the
platform (northern and southern). These results were found in
both summer and winter surveys.
The Qinghong graphic model
showed a geographic gradient of spatial distribution of
macrobenthic communities, with the southern station showing
higher values of diversity. These results were the same for
all taxonomic levels, apart from class level, both in summer
and winter surveys. The results of NMDS were similar to the
Dimo graphic model. The community proved to be structured at
species, genus and family levels, but not at the class level.
Also, the same results were found in the summer and in the
winter surveys.
DISCUSSION
The range of PAH concentration
in sediments around Pargo Platform was from 3.5 to 53.4 g
g-1. These sediment concentrations are below the
concentrations that could cause biological effects on marine
fauna. According to limits cited by Patin (1999), the lowest
levels of oil hydrocarbons that cause primary physiological
and biochemical response or no effect at all range from 10-3
to 10-2 mg L-1 for seawater, and from 10 to 100 mg kg-1 for
bottom sediments.
Besides hydrocarbons, heavy
metals are another class of contaminant commonly related to
petroleum production platforms (Kennicutt et al., 1996). The
concentration of Al, Fe, Ba, Cu, Cr, Zn, Ni, V, Pb, and Cd of
surface sediment samples (0-2 cm) around Pargo Platform were
determined by Ovalle et al. (2000). According to the
Enrichment Factor used by these authors, Cu and Ni increased
twice between 250 and 1000 m, and Zn three times in samples
250 m away from the platform. The other metals did not show an
enrichment near the platform. In spite of these results, the
element concentrations were in the same order of magnitude as
other coastal areas in a regional scale, except for Ba (range
of variation 70.4-269 g.g-1). In general, the spatial
distribution of pollutants was erratic, and did not fit the
macrobenthos distribution. These results are similar to the
ones obtained on the Gulf of Mexico by Kennicutt et al.
(1996), who concluded that contaminant concentrations were
below the levels that induce biological responses.
It should be kept in mind,
however, that toxicological studies do not give the last say
in environmental impact studies. Patin (1999) advanced the
possibility of long-term effects caused by low levels of
chemical pollution. According to him, "in spite of the
difficulties of revealing such responses, more and more
studies prove the existence of nonobvious (subtle) long-term
consequences of chronic contamination". One such consequence
is an increased frequency of mutagenic and carcinogenic
effects and diseases among benthic organisms. Thus, long-term
and further studies (e.g. genetic diversity) on Campos Basin
are necessary to appropriately determine to what degree the
local marine fauna is under impact of offshore oil production.
Many studies have demonstrated
that, in macrobenthic communities, the effects of pollution
are usually detected with multivariate techniques at higher
taxonomic levels, even in situations where the effects are so
subtle that they cannot be detected by univariate techniques
at lower taxonomic levels (species level) (James et. al.,
1995). In the present work the results showed that univariate
techniques were sensitive enough to detect, even at a higher
taxonomic level, a faunal distribution pattern similar to the
results of the multivariate analyses.
Usual practice in a monitoring
study involves identification of all faunas down to species
when practicable (Warwick, 1988). A pilot study could,
however, determine the level of taxonomic resolution and
sampling design needed. For example, according to Kingston and
Riddle (1989), the clear trends in reduced diversity,
associated with the discharge of oil-based drilling cuttings
around an oil production platform, can be demonstrated almost
as precisely using identification down only to the genus or
family level. Recent work has focused attention on this area
as a major cost-saving alternative. However, extreme caution
should be exercised in the adoption of such an approach, as
the loss of information could be critical if subtle effects
are overlooked.
Ferraro & Cole (1995) found
that faunal identification at genus, family, order and phylum
levels reduced the cost, respectively, by 25%, 55%, 80% and
95% as compared to the total spent in analyses at the species
level. Their study showed that patterns can be consistently
identified using different levels of taxonomic resolution.
They suggested that, when resources are limited, for
consistent patterns to be measured it is more important to
collect enough replicates at a range of spatial and/or
temporal scales, so that the assemblages are well represented,
than to sort the taxa down to a fine taxonomic resolution.
The results of this work
evidenced a spatial distribution pattern of benthic
communities at the family level for both univariate and
multivariate analyses. The analysis of the communities at
family level produced similar results to those found at genus
and species levels, without loss of important information. The
macrobenthos spatial distribution around the platform did not
agree with the putative distance gradient; instead, the
spatial distribution showed a geographical pattern: the
stations placed to the South of Pargo Platform showed higher
values of diversity compared to northern ones, suggesting that
pollutants could be negatively influencing the macrobenthos,
even in lower concentrations.
CONCLUSIONS
The analyses performed at
species level showed a geographic gradient of spatial
distribution of macrobenthic communities, with the southern
station showing higher values of diversity . The same pattern
was detected when the data were analysed at genus and family
levels. Thus, the analysis of these macrobenthic communities
at the family level proved to be satisfactory, without loss of
important information, and could therefore be adopted in
monitoring programs.
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ACKOWLEDGEMENTS
The authors are indebted to
PETROBRAS for taking the initiative for this work and
supporting it financially, technically, and logistically.
Special thanks to Dr. Paulo Secchin Young for taxonomic
identification of peracaridan crustaceans. The second author
also wishes to thank "Fundação de Amparo à Pesquisa do Estado
do Rio de Janeiro" (FAPERJ) for its financial support
(E-26/171.431/97).
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