Spatial and Temporal Variation in Otolith Chemistry for
Tautog (Tautoga onitis) along the US Northeast Coast
Ivan Mateo, Edward G. Durbin, David A. Bengtson, Richard Kingsley,
Peter K. Swart, and Daisy Durant
Northeastern Naturalist, Volume 19, Issue 2 (2012): 201–216
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2012 NORTHEASTERN NATURALIST 19(2):201–216
Spatial and Temporal Variation in Otolith Chemistry for
Tautog (Tautoga onitis) along the US Northeast Coast
Ivan Mateo1,*, Edward G. Durbin2, David A. Bengtson1, Richard Kingsley2,
Peter K. Swart3, and Daisy Durant4
Abstract - Elemental concentrations and stable (δ 18O, δ 13C) isotopic ratios in otoliths of
young-of-the year (YOY) Tautoga onitis (Tautog) captured in nurseries in Rhode Island,
Connecticut, New Jersey, and Virginia were determined using otolith micro-chemistry.
Multi-chemical signatures differed significantly among the distinct nurseries among regions
(MANOVA: P < 0.001) and between years (MANOVA: P < 0.001). Classification
accuracy for Tautog nurseries among regions ranged from 92% to 96% for each of the two
years. Since accurate classification of juvenile Tautog to their nursery sites was achieved,
otolith chemistry can potentially be used as a natural habitat tag in assigning adult Tautog
to their respective estuarine nurseries, but it is important to consider that the chemical
signals may change annually.
Introduction
Connectivity is an important property in marine conservation, and determines
colonization patterns of new habitats, the resiliency of populations to harvest,
and the design of marine protected areas (MPAs). However, quantifying connectivity
in marine organisms is extremely difficult because the natal or nursery
origins of most adult fish remain unknown. This lack of knowledge is primarily
due to the difficulty of conducting mark-recapture studies in species that are
characterized by the production of large numbers of small planktonic offspring
and suffer high juvenile mortality (Eldson et al. 2008, Thorrold and Hare 2002).
Recently, innovative techniques using natural isotopic and elemental markers
in calcareous structures such as otoliths/statoliths have been developed for species
that are not able to be tagged or recaptured using conventional approaches
(Eldson et al. 2008, Thorrold and Hare 2002).
Otoliths are acellular mineral structures, associated with orientation and
motion, located in the inner ear of fish. Otoliths are made primarily of aragonitic
calcium carbonate (>90%) embedded in an organic matrix (less than 8%), with the
remainder (ca. 2%) consisting of trace and minor elements (Campana 1999). Otoliths
are not susceptible to resorption or metabolic activity once the material is
laid down (Campana and Thorrold 2001). Elements are incorporated from the endolymph
onto the otoliths surface (Campana 1999, Campana and Neilson 1985,
1University of Rhode Island, Department of Fisheries, Animal and Veterinary Science,
Kingston, RI 02881. 2University of Rhode Island, Graduate School of Oceanography,
Narragansett, RI 02882. 3Division of Marine Geology and Physics, Rosenstiel School of
Marine and Atmospheric Sciences, University of Miami, Miami, fl33149. 4Narragansett
Bay National Estuarine Research Reserve, PO Box 151, Prudence Island, RI 02872. *Corresponding
author - imateo32@cox.net.
202 Northeastern Naturalist Vol. 19, No. 2
Markwitz et al. 2000) throughout the fish’s lifetime. Elements that are considered
as the best environmental recorders are those that are not under strict physiological
control and whose incorporation into the otolith consistently reflects the water
chemistry the fish inhabit (Campana 1999). Strontium (Sr) is the most widely
used element in otolith chemistry studies. Sr and calcium (Ca) are alkaline earth
metals with similar chemical composition, which allows Sr to be readily substituted
for Ca in the aragonitic crystal lattice of otoliths due to its similar valence,
ionic radius, and crystal structure (Farrell and Campana 1996, Radtke and Shafer
1992). Though the Sr:Ca ratio has been the most widely used elemental ratio in
otolith microchemistry studies, other alkaline earth and alkaline metals, such as
magnesium (Mg) and barium (Ba), have been successfully used in otolith microchemistry
studies (Arslan and Paulson 2003). There are many factors influencing
the otolith chemistry composition, including geology, water chemistry, temperature,
physiology, and diet (Arslan and Paulson 2003). However, several studies
have shown that the incorporation of many alkaline earth metals into the otoliths
is directly related to the ambient water, thus demonstrating their potential utility
(Bath et al. 2000; Elsdon and Gillanders 2003; Wells et al. 2000, 2003).
Analysis of stable isotope ratios has also been shown to be useful in otolith
microchemistry studies. Stable isotopic variation in biogenic carbonates (e.g.,
corals, foraminiferans, and bivalves) has been used extensively in paleoclimate
studies. They are also useful proxies of temperature, salinity, and trophic level
(Campana 1999). The oxygen (O) and carbon (C) isotopes are the most extensively
studied (Campana 1999). Oxygen (O18/O16, expressed as δ18O) isotopes
are incorporated into otoliths in ratios in close relationship to those found in the
water from their environment (Kalish 1991a, Kennedy et al. 1997, Thorrold et al.
1997a). Differences in δ18O in the water are related to sea surface temperatures,
evaporation rates, and freshwater inputs (Edmonds et al. 1999). Otolith carbonate
(13C/12C, expressed as δ13C) is incorporated in isotopic disequilibrium with
ambient seawater. It is thought that variations in δ13C are related to metabolic
changes, dietary changes, or the δ13C of the dissolved inorganic carbon (Gannes
et al. 1997, Thorrold and Hare 2002).
Applications of chemical analysis in otoliths
The application of otolith microchemistry to fish ecology studies is based
on the idea that the chemistry of the water a fish inhabits provides a natural tag
in the otolith, that can then be used to discriminate among groups of fish from
different spawning and nursery grounds (Campana 1999). This application has
been widely used to identify unique stocks for marine fisheries management and
conservation goals (e.g., Campana and Gagné 1995; Campana et al. 1994, 2000;
Edmonds et al. 1991; Gillanders et al. 2001; Patterson et al. 1999).
Variation of otolith chemical composition to changes in the temperature,
salinity, and water chemistry the fish experience throughout their lives (e.g.,
Gauldie et al. 1986, Radtke and Kinzie 1996) is another major application
of otolith microchemistry. Stable oxygen isotope ratios (δ18O; Kalish 1991b,
Thorrold et al. 1997a), and Sr:Ca ratios (Radtke et al. 1990; Townsend et al.
2012 I. Mateo, E.G. Durbin, D.A. Bengtson, R. Kingsley, P.K. Swart, and D. Durant 203
1989, 1992, 1995) have both been used as proxies for temperature. Salinity
histories have also been determined using Sr:Ca ratios (e.g., Limburg 1995,
Radtke et al. 1998, Tzeng et al. 1997) and stable oxygen isotopes (e.g., Meyer-
Rochow et al. 1992, Northcote et al. 1992) as salinity proxies. Most salinity
histories studies using Sr:Ca ratios have documented evidence of anadromous
and catadromous migration (Campana 1999). Furthermore, changes in otolith
elemental composition resulting from movement from one environment to another
(e.g., freshwater to marine) have been used to tell apart anadromous from
non-anadromous (resident) fish (e.g., Kalish 1990, Rieman et al. 1994, Zimmerman
and Nielsen 2003) as well as hatchery from wild fish (e.g., Campana
1999). In this application, measurements are made with probe-like instruments
along the otolith growth axis or the entire otolith in order to determine migration
history (e.g., Arai and Miyazaki 2001, Limburg 1995, Limburg et al. 2001,
Secor 1992, Thorrold et al. 1997b).
Chemical habitat tags in the otoliths of juvenile fish have been used (with a
high degree of accuracy) to differentiate individuals from different estuarine/
riverine systems (Gillanders 2002b; Gillanders and Kingsford 2000; Thorrold et
al. 1998a, 1998b) and alternative types of nearshore habitats, including estuary
versus rocky reef (Gillanders and Kingsford 1996) and estuary versus exposed
coastal habitats (Forrester and Swearer 2002, Yamashita et al. 2000). In addition,
through chemical analysis of the juvenile portion of adult otoliths, natural
habitat tags have been used to determine the proportion of the adult population
that resided in different juvenile habitats (Gillanders 2002a, Thorrold et al. 2001,
Yamashita et al. 2000).
Application of otolith chemistry approach in Tautog
Tautoga onitis L. (Tautog) is an economically and ecologically important
species found in the waters of eastern North America from the Gulf of Maine to
North Carolina. While adults may live off the coast in waters as deep as 25 m
(Arendt 1999, Dorf and Powell 1997), they move inshore for reproduction purposes
(Arendt 1999). Juvenile Tautog are known to depend upon the coastal zone
for nursery habitats where they are safe from high levels of predation and can
find necessary food resources (Arendt 1999, Dorf and Powell 1997). However,
the relative importance of open coastline versus enclosed bays and lagoons as
nursery habitat for Tautog is still poorly understood (Sogard et al. 1992). In Narragansett
Bay, RI, Zostera marina L. (Common Eelgrass) has declined since the
early 1950s because of water pollution, coastal development, harbor dredging,
and other factors (Meng et al. 2001). In 1996, scientists determined that of the
1000 acres of eelgrass that were in Narragansett Bay at the turn of the century,
fewer than 100 acres remained. Furthermore, Eelgrass has decreased 41% in
coastal ponds due to increased nitrogen loads (Cottrell et al. 1999). In light of the
fact that the northeastern coast of the United States has experienced a major loss
of its estuarine habitats due to human alteration of the coastal zone (Cottrell et
al 1999, Meng et al 2001), data are needed to quantify the importance of specific
coastal habitat types in sustaining Tautog populations.
204 Northeastern Naturalist Vol. 19, No. 2
The specific purpose of this study was to determine if juvenile nurseries can be
distinguished for Tautog populations among regions within the US Northeast coast
using otolith chemistry. This is a crucial step in order to quantify the relative contribution
and connectivity of estuarine habitats for adult Tautog populations.
Materials and Methods
Sampling of juvenile fish
In Rhode Island, young-of-the-year (YOY) Tautog of 45–64 mm fork length
(FL) were sampled in Narragansett Bay: Rose Island (RS; 41°29'48.19"N,
71°20'35.69"W) (Fig. 1). The samples were obtained by seine net in cooperation
with Rhode Island Department of Environmental Management, Division of Marine
Fisheries (RIDEM) during August and September of 2005 and 2006, respectively.
In 2006, data from the closest point to RS (Fort Wetherill, Jamestown),
which is about 1.5 km east , showed average surface temperatures of 17.4 °C and
salinities of 30.8‰.
We also collected Tautog from Connecticut and New Jersey over the same two
years in which those from Rhode Island were collected. In Connecticut, YOY
Tautog were sampled from the New Haven Harbor/Quinnipiac River estuary
(41°15'26.64"N, 72°53'39.13"W) by staff from the National Marine Fisheries
Service at Milford, CT using seine nets. In New Jersey, fish were sampled around
Great Bay-Little Egg Harbor (39°29'30.21"N, 74°18'58.40"W) by staff from the
Rutgers University, Marine Field Station using minnow traps. In Virginia, YOY
Tautog were collected from one area of the Chesapeake Bay estuarine system
(South Bay Eastern Shore) (37°26'1.26"N, 75°59'33.86"W) by staff from the
Virginia Institute of Marine Science (VIMS) as part of their normal seine-net
sampling program; however, samples were collected in 2005 but not in 2006 because
the Tautog experienced poor recruitment (Jacques Vont Monfrans, VIMS,
Gloucester Point, VA, pers. comm.). All these stations are located in lower areas
of their respective estuaries with low fresh water input and with salinities around
30‰. A total of twenty juveniles per site per year were captured for analysis.
Sampled fish were kept frozen until otolith removal. Water sampling was not
obtained nor conducted due to lack of funding.
Laboratory processing of samples
Prior to otolith removal, each fish was weighed (wet weight to the nearest
0.1 g) and measured (fland standard length [SL] to the nearest 0.1 mm). Both
sagittal otoliths were removed from each fish, cleaned of adhering tissue, rinsed
3 times with Milli-Q water, and allowed to dry in a Class 100 laminar-flow
hood. The left sagittal otolith was used for trace-metal analysis, while the right
otolith was used for stable-isotope analysis. Of the original number of otoliths,
about 12% were lost during the decontamination process. Therefore, they were
removed from subsequent analyses.
A total of 113 otoliths were prepared for trace metal analysis. Each otolith
was weighed on a Thermo Cahn microbalance (± 0.01 mg). Samples were then
placed in acid-washed 2.5-ml polypropylene containers. The otolith weights
2012 I. Mateo, E.G. Durbin, D.A. Bengtson, R. Kingsley, P.K. Swart, and D. Durant 205
ranged from 0.08 to 0.34 mg and averaged 0.18 mg. Otoliths used for trace-metal
analysis were transferred to clean 5-ml polypropylene tubes and 0.2 ml of tripledistilled
17% HNO3 was added to insure complete dissolution.
An internal thulium single-element standard spike was added to the solution
to correct for variable matrix effects during the inductively coupled plasma
mass spectrometry (ICPMS) analyses, and subsequently it was diluted to 1.8
Figure 1. Map of Tautog sampling stations in high-salinity areas in the US northeast coast
for the years 2005 and 2006.
206 Northeastern Naturalist Vol. 19, No. 2
ml with triple-distilled water. This dilution resulted in a Ca concentration of
approximately 40 ppm in the analyzed otolith solution.
Otolith chemistry analysis
Elemental concentrations of YOY otoliths were determined through solutionbased
ICP-MS at the University of Rhode Island (URI) Graduate School of
Oceanography (GSO). All measurements were carried out on a Finnigan Element
High-Resolution ICP-MS (Thermo Fisher Scientific).
A procedural blank was prepared in the same manner as the samples, but
without an otolith. The procedural blank was then compared to the system
blank to determine if contamination occurred. System blanks using the same
acid concentration as sample dissolution were run every four samples. A driftcorrection
standard was prepared by gravimetrically spiking a CaCO3 standard
solution with appropriate concentrations of Na, K, Rb, Mg, Ca, Mn, Ni, Cu, Zn,
Sr, Ba, Co, and Pb, to match the typical elemental composition of the otoliths.
This drift-correction standard was analyzed every four samples as well to track
for instrument drift. Thirteen elements (Na, K, Rb, Mg, Ca, Mn, Ni, Cu, Zn, Sr,
Ba, Co, and Pb) were selected based on previous studies using trace elements as
natural tags (Gillanders 2002b; Gillanders and Kingsford 2000; Thorrold et al.
1998a, 1998b). Results were expressed as absolute concentrations of molar ratios
with respect to calcium—element:Ca ratios, expressed as units of mmol mol-1 or
μmol mol-1—as the elements are considered to substitute for calcium within the
crystalline lattice of the otolith.
The elements used for subsequent analysis (Rb, Mg, Ca, Sr, and Ba) were
always found in concentrations above their limit of detection (LOD). The LODs
were as follows (values in ppm): Rb (0.007), Mg (0.02), Sr (0.077), and Ba
(0.014). These values were much less than the 3 ppm to 2000 ppm range for these
elements found in the sample otoliths. The LODs were calculated to be 3 times
the standard deviation of the isotope’s sensitivity (in counts per second or cps)
found in acid blanks divided by the corresponding sensitivity in cps/ppm of the
CRM22 carbonate standard. The precision of the analyses can be estimated from
the average relative standard deviations (RSD) measured in multiple runs of the
CRM22 standard and were as follows: Rb (3%), Mg (10%), Ca (1%), Sr (1%),
and Ba (5%).
Stable carbon and oxygen isotopes of these otolith samples were determined
at the Rosenstiel School of Marine and Atmospheric Sciences, University of
Miami, using an automated carbonate device (Kiel III) attached to a Thermo-
Finnigan Delta Plus stable isotope mass spectrometer. Data are expressed using
the conventional δ notation relative to V-PDB (Vienna Peedee Belemnite). Data
have been corrected for the usual isobaric interferences. The external precision
(calculated from replicate analyses of an internal laboratory calcite standard) was
0.04% for δ13C and 0.08% for δ18O.
Statistical analysis
A two-way ANOVA was used to test for differences in fish body length among
stations and years. We also examined relationships between otolith weight and
2012 I. Mateo, E.G. Durbin, D.A. Bengtson, R. Kingsley, P.K. Swart, and D. Durant 207
otolith elemental composition and isotopic signatures with analysis of covariance
(ANCOVA). If a significant relationship was observed, we removed the effect
of size (otolith weight used as a proxy for fish size) to insure that differences in
fish size among samples did not confound any site-specific differences in otolith
chemistry. Element concentrations were weight-detrended by subtraction of the
product of the common within-group linear slope times the otolith weight from
the observed concentration (Campana et al. 2000).
We used analysis of variance (ANOVA) to test for differences in mean individual
elemental concentration ratios of (Sr, Ba, Mg, Rb) and otolith isotopic
signatures (δ13C, δ 18O) among sites (RI, CT, NJ, and VA) within each year
(2005, 2006). Multivariate analyses of variance (MANOVA) were used to test
for differences in the multi-chemical signatures combined of mean elemental
concentration ratios (Sr, Ba, Mg, Rb) and otolith isotopic signatures (δ13C, δ18O)
among sites (RI, CT, NJ) and between years (2005 and 2006). Pillai’s trace was
chosen as the multivariate test statistic because it is more robust to small sample
sizes, unequal cell sizes, and situations in which covariances are not homogeneous.
Tukey’s HSD test was used to detect a posteriori differences among means
(α = 0.05). Before statistical testing, residuals were examined for normality and
homogeneity among stations. To meet model assumptions, all analyses of trace
element concentrations were performed using natural log transformed data. Linear
discriminant function analyses (DFAs) were used on Tautog juvenile data to
visualize spatial differences within sites and to examine classification success for
juveniles from different sites or regions. The DFA develops an algorithm to classify
fish according to their nursery habitats based on the elemental composition of
their otoliths. This multivariate approach was used to determine whether the relationship
among several independent variables could be used to predict nursery
origin of an individual. Classification success is translated as the percentage of
fish that were correctly assigned to their capture location based upon the chemical
signature of each fish. Cross validations were performed using jackknifing
procedures in SYSTAT to test the model accuracy and robustness.
Results
Size distribution
Mean flof juvenile Tautog at all stations ranged from 45–64 mm (Table 1).
There were significant differences in mean length among stations within regions
within each year (2005: F3,68 = 8.65, P < 0.001; 2006: F2,54=10.45, P < 0.001 ).
In both 2005 and 2006, the mean length of NJ fish was significantly greater than
those from CT, VA, and RI (Tukey test: P < 0.05).
Individual element concentrations
Elemental concentrations of Ba and δ 18O varied significantly in 2005 and
2006 among regions (ANOVA: P < 0.001; Table 2, Fig. 2). For those two years,
δ 18O was highest in otoliths of fish from the RI station (Rose Island), whereas it
was most depleted in those from the CT station.
208 Northeastern Naturalist Vol. 19, No. 2
Table 1. Mean fork length (FL) in mm and number of fish (n) captured at each station by year. Numbers
in parenthesis are SE. Abbreviations provided after each station will be used in subsequent tables.
State Station n fl(mm)
2005
Rhode Island Rose Island (RI) 20 52.1 (1.2)
Connecticut Morris Cove New Haven Harbor (CT) 16 50.1 (2.2)
New Jersey Tuckerton Rutgers Field Station (NJ) 17 63.5 (2.1)
Virginia Virginia Eastern Shore Peninsula (VA) 19 56.1 (2.3)
2006
Rhode Island Rose Island (RI) 17 45.5 (3.5)
Connecticut Morris Cove New Haven Harbor (CT) 20 57.2 (1.8)
New Jersey Tuckerton Rutgers Field Station (NJ) 20 63.4 (2.9)
Virginia Virginia Eastern Shore Peninsula (VA) * *
*Tautogs were not captured in this station in 2006.
Table 2. Results of ANOVA of trace element concentration and stable isotope composition measured
in otoliths of YOY Tautog collected at high salinity stations on the US northeast coast in
2005 and 2006. Tukey honestly significant different (HSD) test was based on Ln (x + 1) transformed
data. Stations are labeled as 1 = RI, 2 = CT, 3 = NJ, 4 = VA (see Table 1 for abbreviations
of station names). The HSD column shows the pairs of stations that were significantly different.
2005 2006
Source d.f. MS F P HSD Source d.f MS F P HSD
[Sr/Ca] [Sr/Ca]
Station 3 0.44 35.46 0.001 1,2 Station 2 0.01 1.03 0.363
Error 62 0.26 1.27 1,4 Error 53 0.01
2,3
2,4
[Ba/Ca] [Ba/Ca]
Station 3 2.89 13.67 0.001 2,4 Station 2 1.05 5.11 0.009 1,2
Error 63 0.21 3,4 Error 52 0.21 1,3
[Mg/Ca] [Mg/Ca]
Station 3 0.28 0.50 0.682 Station 2 0.70 0.64 0.533
Error 62 0.56 Error 52 1.09
[Mn/Ca] [Mn/Ca]
Station 3 2.33 5.20 0.003 1,2 Station 2 4.35 7.64 0.001 1,3
Error 63 0.45 1,3 Error 52 0.57 2,3
1,4
[Rb/Ca] [Rb/Ca]
Station 3 0.04 2.79 0.047 Station 2 0.08 9.09 0.001 1,2
Error 63 0.01 Error 49 0.01 1,3
[13C] [13C]
Station 3 2.04 7.71 0.001 1,2 Station 2 0.64 2.60 0.084
Error 64 0.15 1,4 Error 53 0.24
[18O] [18O]
Station 3 3.18 28.16 0.001 1,2 Station 2 21.45 174.62 0.001 1,2
Error 64 0.32 1,3 Error 50 0.12 1,3
2,3 2,3
3,4
2012 I. Mateo, E.G. Durbin, D.A. Bengtson, R. Kingsley, P.K. Swart, and D. Durant 209
Multi-elemental fingerprint results
There were significant differences for Tautog chemical signatures between regions
(MANOVA: P < 0.05; Table 3) and years (MANOVA: P < 0.001; Table 3).
Significant interaction was found among regions and year (MANOVA: P < 0.001;
Table 3). Classification success among regions within each year varied from
92–96% (Table 4).
Figure 2. Mean elemental concentrations molar ratios (with standard errors) with respect
to Ca and stable isotopes measured in otoliths of YOY Tautog collected from highersalinity
stations along the US Northeast coast in 2005 and 2006. All trace element data
(Element/Ca x 103) are Ln (x + 1) transformed. The y-axes for the two stable isotopes are
inverted. State station codes are RI = Rhode Island (Rose Island), CT = Connecticut, NJ
= New Jersey, and VA = Virginia.
210 Northeastern Naturalist Vol. 19, No. 2
Discussion
The elemental concentrations of juvenile Tautog otoliths varied considerably
among estuaries and between years. We found very strong differences in the concentrations
of Sr, Ba, and Rb as well as in the stable isotopic signatures of δ 13C
and δ 18O among the regions. High classification success rates (generally >90%)
of the discriminant functions derived from trace element and stable isotope signatures
together demonstrated that these otolith elemental fingerprints may be
potentially used as a natural tag of the estuarine nursery area of juvenile Tautog.
However, in order to consider otolith elemental signatures as an effective natural
marker to study connectivity in estuarine fish nurseries, certain requirements
must be met: (1) ensure that all the potential nursery sites with unique distinct
signatures have been sampled and are representative for the species in question,
and (2) show there is direct relationship of the otolith elemental signatures with
the environment (Campana et al. 2000, Elsdon et al. 2008).
Differences among geographic sites in this study were presumably related
to surface-water mass characteristics and associated geo-chemical differences;
however, the source of the elemental fingerprint differences remains unknown.
Table 3. Results of MANOVA for trace element concentration and stable isotope composition in
otoliths of YOY Tautog collected at high-salinity stations along the US northeast coast (RI, CT,
NJ). All statistical analyses were done on Ln (x + 1) transformed data and on Pillai’s statistic. VA
was removed from analysis as YOY Tautog were not collected in 2006.
Source Value F Numerator Denominator P
Year 0.163 13.775 7 86 0.027
Station 1.051 2.399 14 174 0.001
Year*Station 0.778 7.917 14 174 0.001
Table 4. Jackknifed classification success using linear discriminant function analysis for Tautog
otoliths collected from high-salinity stations along the US northeast coast during 2005 and 2006.
Based on solution-based ICPMS using combined trace metals (Sr, Ba, Mg, and Rb) and stable
isotopes (δ18O, δ13C) (see Table 1 for abbreviations of station names).
CT NJ RI VA Cross validation accuracy
2005
CT 15 0 0 0 100
NJ 0 13 1 2 81
RI 0 0 19 0 100
VA 0 2 0 14 88
Total 92
2006
CT 13 0 0 100
NJ 0 15 2 88
RI 0 0 17 100
VA * * * * *
Total 96
*Tautog were not captured in this station in 2006.
2012 I. Mateo, E.G. Durbin, D.A. Bengtson, R. Kingsley, P.K. Swart, and D. Durant 211
Thus, the observed elemental compositions represent only those sites and years
that were sampled. Because the elemental composition of the otolith is metabolically
stable, the YOY juvenile portion of the otolith serves as a natural tag of
the nursery area independent of cause (Campana et al. 2000). The study did not
sample all the potential Tautog nursery and habitat (e.g., salinity gradient) within
the respective states since the main objective of the study was to determine if
differences exist among the nurseries areas sampled. Given that we found signifi
cant differences, future work should be focusing on resolving the spatial scale
across which Tautog nurseries can be distinguished.
It is noteworthy to say that our results would be more robust if we had performed
chemical analysis of the ambient water to support our data, as there
could be potential interactions of salinity and temperature influencing elemental
concentrations in otoliths. Despite not analyzing the water chemistry surrounding
the Tautog nurseries in this study, there is evidence that water chemistry can be
used to predict otolith chemistry, providing there is a strong correlation between
the two variables in natural environments. Experimental work has demonstrated
strong effects of ambient Sr and Ba concentrations on otolith composition (e.g.,
Bath et al. 2000, Elsdon and Gillanders 2003, Kraus and Secor 2004). Recently,
Walther and Thorrold (2009) also found that Sr:Ca and Ba:Ca in juvenile Alosa
sapidissima (Wilson) (American Shad) otoliths were correlated with ambient
levels in river waters.
Our approach using solution-based ICPMS to distinguish Tautog nursery
areas with high rate of classification success was suitable for this species due to
its early life-history characteristics. Some of the factors contributing to this high
classification success were: (1) Tautog has a larval period of 17 to 20 days, so the
larval signature is very small compared to the juvenile signal (Dorrf and Powell
1997); and (2) once settled, Tautog juveniles only move about 20 m during the
first year of life (Able et al. 2005). Thus, with Tautog, there is small chance to
have ontogenetic movement to different habitats within a year of life. Therefore,
we thought that solution-based ICPMS was appropriate to describe the chemical
signatures for their entire first year of life compared to other techniques such as
laser ablation ICPMS (LA ICPMS) or electron ion microprobe.
Elemental fingerprints, however, should not be regarded as temporally and
spatially stable markers of actual estuarine habitat or environment (Forrester
and Swearer 2002, Swearer et al. 2003). Estuarine habitats are very dynamic, with
seawater properties and composition at a particular location varying over tidal to
annual time scales (Church 1986, Eldson and Gillanders 2003, Peters 1999). As a
result, it might be expected that the variations in elemental fingerprints in otoliths
among estuaries will not remain constant over time. The significant inter-annual
differences we report among year classes in age-0 Tautog otolith elemental signatures,
are similar to inter-annual differences in otolith chemistry reported for
other marine fishes (Gillanders 2005, Gillanders and Kingsford 2000, Milton
et al. 1997). Despite inter-annual differences, there were distinct spatial trends
in otolith isotopic signatures’ concentrations among nursery regions that were
212 Northeastern Naturalist Vol. 19, No. 2
similar among the cohorts. For example, δ18O concentrations remained similar
in the high-salinity stations of New Jersey and Connecticut for the two years. At
the RI (Rose Island) station, Tautog individuals had the most enriched 18O for the
two years, whereas CT had the most depleted.
Successful discrimination of some Tautog estuarine nurseries along the US
east coast in the present study was accomplished through the combined multielemental
fingerprints of otolith elemental concentrations and stable isotopic
signatures, fulfilling one of the requirements for their possible use as natural tags
(Campana et al. 2000). We hope to use this tool to determine the magnitude and
timing of the movement of Tautog and other estuarine-dependent fish populations
between estuaries, and to identify which estuaries are responsible for recruitment
to these populations in offshore habitats.
Trace element and isotopic signatures in otoliths have shown promise in the
present study as natural tags of nursery area in Tautog. With more comprehensive
sampling of putative nursery grounds, it should be possible to track movement
patterns of adult Tautog by using the YOY juvenile portion of the adult otoliths.
The present results are an important advancement towards establishing evidence
of estuarine fish juvenile movement to adult offshore habitats, which must be
examined in fish nursery evaluation studies (Beck et al. 2001). Understanding
habitat linkages between estuarine nurseries and adult populations is important
in fisheries management and marine conservation because it can aid in prioritizing
conservation efforts towards important nursery habitats contributing to the
overall fisheries production.
Acknowledgments
For helping in the collection of fish, we would like to thank Chris Powell, Michelle
Burnett, and Brian Murphy from RIDEM, as well as Prentice Stout from Camp Fuller, and
Robert Dickau from Pond Shore Association. Special thanks go to Bryan Taplin, Richard
Pruell, and the late Dr. Lesa Meng from EPA, and to Dr. Kathleen Castro from URI Sea
Grant Fisheries Extension for support and inspiration for this project. We also like to
thank Robin Weber from Narragansett Bay National Estuarine Research Reserve for her
help with the map figures. This study was funded through University of Rhode Island Sea
Grant Program and the Nature Conservancy Global Marine Initiative.
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