A field dose-response approach as a tool for environmental Hg contamination assessment. Case
study: bioaccumulation of Hg by
Tucunaré (Cichla spp.) from Brazilian Amazon ecosystems
Z. C.
Castilhos* & E. D. Bidone
*Center for Mineral Technology, Ilha do Fundão,
Brazil; zcastilhos@CETEM.gov.br Department of Geochemistry, Fluminense Federal
University, Brazil, geobida@vm.uff.br
ABSTRACT
Many factors control the bioaccumulation and/or
biomagnification of Hg by fish and its tissue levels have been normalized by
several ways for spatial and/or temporal comparisons. We suggest using fish
length in order to infer the time of exposure to Hg and as an indirect
dose-normalizer from field data. The fish specie chosen is the Tucunaré (Cichla spp.), a carnivorous icthyophagous specie, considered as good
bioindicator of Hg accumulation in fish. It is sedentary, territorial,
commercially important, and does not exhibit seasonality in Hg accumulation.
The estimated fish growth rate for Cichla
spp., was used to correlate potential ages to different percentages of the
asymptotic length, and assuming this to be the potential time of exposure to
Hg; the linear relationship, the dose-response relationship and the
exposure-response relationship were established by using Hg tissue levels from
a background and a contaminated area impacted by goldmining. All approaches
corroborated the presence of significant higher uptake rates by a factor of 2
of the Hg dose in contaminated area
in contrast to background area.
INTRODUCTION
A lot of factors have been
considered important in the bioaccumulation and/or biomagnification of Hg in
fish. Among them, the Hg load-dependent factors in the aquatic environment,
specially in those related to Hg in sediments and environmental conditions, like
bioproduction (Häkanson, 1980); as well as local biota’s
physiological-dependent factors, like size, length, age and metabolic rate
(Phillips, 1980; WHO, 1990); and also food-chain characteristics (Cabana et al,
1994).
Hg levels in fish for
spacial and/or temporal comparisons have been normalized by mean of Hg content
in 1-Kg fish (as pike) (Johnels et al., 1967), or by using only fish of one year of age (Post et al, 1996) or by
using a specific length (Scruton, et al., 1994). We suggest using the length to
infer upon the time of exposure of fish
to Hg, which could be considered as indirect dose-normalizer. This assumes that
the length increases along the time (hormonally controlled) (Zaret, 1980).
The Tucunaré (Cichla spp.) specie was chosen for many reasons. This specie may be
considered good bioindicator of Hg accumulation in the Amazonian ecosystem,
specially because of its time-integration capacity and its carnivorous
icthyophagous feeding habit. Their fine taste and abundance in native habitat
have made it an important commercial specie.
The objectives of this work
are: (i) to estimate the daily Hg uptake rate by Cichla spp. during growth up to the attainance of its maximum
length; (ii) to establish and compare the dose-response relationship for Hg accumulation
by Cichla spp. for a contaminated and
a background area, and (iii) estimate the potential time of exposure necessary
for Hg accumulation to reach 500mg.Kg-1, the
concentration limit for human consumption adopted by many countries.
MATERIALS AND METHODS
RESULTS AND DISCUSSION
The elimination of MeHg by
fish is very slow relativelly to the uptake and the accumulation rates.
Positive correlation between concentrations in muscle and both size, length
and/or age for a given specie have been well documented (WHO, 1990). In this
study significant linear correlation (Pearson’s correlation) between Hg levels
in muscles and length (0.67; p<0.0001; n=28) and weight (0,9; p<0.006;
n=10) was found for Cichla spp. in
the background area. The correlations for Cichla
spp. from the contaminated area were
not significant.
The estimated fish growth
rate for Cichla spp., can be used to
correlate potential ages to different intervals of length. The estimated ages
were used in order to infer the equivalent potential time of exposure.
Toxic substance accumulation
rates vary between individuals in populations. The dose-response relationship
has the competence to absorb such individual variabilities. A certain
percentage of test organisms will show the respond within some stated
conditions. The quantal test is designed to estimate the concentration of a
test material that affects 50% of the test organisms, the median effective dose
(D 50% or D50) (Ross & Gilman, 1985). The D50 for
accumulation of Hg by Cichla spp. (DA50)
indicates the time of exposure necessary to attain those tissue concentration
levels by half of the exposed individuals.
If we accept that exposure
and response can be interrelated as: t exposure * C = constant
(adapted from Dämgen & Grünhage, 1998); in which a certain response (constant)
can be achieved from a time of exposure t exposure and a
concentration of aquatic environment C. In this study we found: (i)for
contaminated area: 420 (days) * C = 300mg.Kg-1 ; C @ 0.7mg.Kg-1.day-1
and, (ii) for background area:
510 (days) * C = 100mg.Kg-1 ; C @ 0.2mg.Kg-1.day-1.
It must be assumed that these Hg doses are from both sources, by water and
food. Considering that the latter for Cichla
spp. from contaminated area takes
1.9 years to achieve 500mg.Kg-1 and 6.8
years for the background area. We believe that the difference between daily
doses (~3,5 times), is significant and could be attributed to Hg load
differences between the studied areas, and also, could be a consequence of a
potetial pollution source, the
goldminig activity. If the fish contamination by Hg can be considered a risk,
the risk-benefit analysis of goldmining activity will take into account the
increase of the Hg dose to fish in the contaminated area relativelly to the background area.
REFERENCES
Bertalanffy von I (1957) Quantitative Laws in Metabolism and Growth-
Quarter. Rev. Biolo. 32(3): 217-231
Cabana G; Tremblay A; Kaff J Rasmussen JB (1994) Pelagic Food Chain
Structure in Ontario Lakes: A Determinant of Mercury Levels in Lake Trout
(Salvelinus namaycush). Can. J. Fish. Aquat. Sci. 51:381-389
Castilhos, ZC, Bidone, ED, Lacerda, LD (1998) Increase of the
background human exposure to mercury through fish consumption due to gold
mining at the Tapajos river region, Pará State, Amazon. Bull Environ Contam
Toxicol 61 (2): 202-209
Dämgen U & Grünhage L (1998) Response of a grassland ecosystem to
air pollutans. V. A toxicological model for He assessment of dose-response
relationship for air pollutants and ecosystems. Environmental Pollution,
101:375-380
Johnels AGT,
Westemark T, Berg W, Persson PI, Sjonstrand (1967) Pike (Esox lucius L) and some other aquatic organisms in Sweden as
indicators of mercury contamination in the environment. Oikos, 18:232-33
Hakanson L (1980) The Quantitative Impact of pH, bioproduction and
Hg-contamination on the Mercury Content of Fish (pike). Environ. Pollution
(Series B) 1:284-304
Phillips DJH (1980) The effects of Age (Size, Weight) on Trace Metals
in Aquatic Biota. In: Quantitative Aquatic Biological Indicators (Kenneth
Mellanby editor). Applied Science Publishers, Ripple Road, Barking, Essex,
England.
Post JR, Vandenbos R , McQueen J (1996) Uptake rates of food-chain and
waterborne mercury by fish: field measurements, a mechanistic model, and an
assessment of uncertainties. Can J Fish Aquat Sci 53: 395-407
Ross EM & Gilman AG
(1985) Pharmacodynamics: Mechanisms of Drug Action and the Relationship Between
Drug Concentration and Effec In: Goodman and Gilman’s He Pharmacological Basis
of Therapeutics, 17th (
Alfred Goodman Gilman, Louis S. Goodman, Theodore W. Rall and Fred Murad
editors) MacMillan Publishing Company, New York, NY, p.35-48
Scruton DA, Petticrew EL, LeDrew LJ, Anderson MR, Williams UP, Bennet,
BA and Hill, EL (1994) Methylmercury Levels in Fish Tissue from Three Reservoir
Systems in Insular Newfoundland, Canadá. In: Watras CJ, Huckabee JW (1994)
Mercury pollution: Integration and synthesis. Lewis Publishers, USA, 727p
WHO (1990) Environmental Health Criteria 101: Methylmercury. Geneva,
World Health Organization
Zaret TM
(1980) Life History and Growth Relationships of Cichla ocellaris, a Predatory
South American Cichlid. Biotropica 12(2):144-157