Variability in fish and water hydrogen and oxygen stable isotope values in the nearshore region of a large water body
Introduction
Hydrogen (δ2H or δD) and oxygen (δ18O) stable isotope ratios have been used to examine water movement and evaporation processes in a variety of aquatic systems (e.g., Genereux and Hooper, 1998, Pham et al., 2009). Though they have potential to increase understanding of aquatic food webs, particularly when assessing relative reliance on allochthonous or autochthonous inputs to a system (e.g., Finlay et al., 2010), their use in food web studies has thus far been relatively limited (reviewed by Vander Zanden et al., 2016). Laboratory studies (e.g., Soto et al., 2013) have demonstrated potential for δ2H to reflect feeding at different trophic levels, and δ2H may provide a complementary tracer to the more commonly used δ15N. Given that δ2H and δ18O help elucidate migration patterns in humans and terrestrial wildlife (e.g., Bowen et al., 2005, Ehleringer et al., 2008), they could potentially also help assess movement and site fidelity of aquatic organisms. However, a major issue complicating interpretation is that aquatic organisms derive hydrogen and oxygen from both their diet and the ambient water in which they reside (Soto et al., 2013, Vander Zanden et al., 2016; Coulter et al., 2017).
To help refine understanding of how δ2H and δ18O reflect diet and habitat of freshwater fishes, we examined seasonal and spatial patterns in δ2H and δ18O values of water and small-bodied fishes collected from nearshore Lake Michigan, USA (i.e., <15 m depth). Lake Michigan has become increasingly oligotrophic in the past decade in response to sweeping food web changes (Barbiero et al., 2012), and the nearshore region is highly heterogeneous and dynamic. Substrates in the northern and western regions of nearshore Lake Michigan are primarily rocky while the south and eastern regions are primarily sand (GLAHF, 2020); and locally, there may be patches of hard substrate embedded in softer substrates or vice versa (e.g., Creque et al., 2010, Great Lakes Aquatic Habitat Framework (GLAHF), 2020). Moreover, the magnitude and characteristics of allocthonous loadings are spatially variable; there are more and larger tributaries on the eastern side of the lake as opposed to the western side, and surrounding land cover is primarily urban or agricultural around the southern basin and forested in the north (Robertson and Saad, 2011). Tributary discharge rates and nutrient loadings vary not only spatially, but also temporally (e.g., Robertson and Saad, 2011), with generally greatest discharges in the spring. In addition, upwelling and downwelling events cause the nearshore regions to experience quick temperature changes along with in-or-outfluxes of water (Plattner et al., 2006). Upwelling events in particular are more common along the western side of the lake than the eastern (e.g., Höök et al., 2004, Plattner et al., 2006).
Past studies of δ2H and δ18O patterns in Lake Michigan water and fishes have contrasted values in the main lake against connected tributary environments (e.g., Dufour et al., 2008, Senegal et al., 2020) or examined the mass balance of the whole lake (e.g., Jasechko et al., 2014). While Jasechko et al. (2014) found limited spatial or temporal variation of δ2H and δ18O of water collected from offshore Lake Michigan, studies of Lake Michigan tributaries documented relatively great variation of water isotope values (e.g., Dufour et al., 2005, Senegal et al., 2020). In the current study, we explored a) spatial and seasonal trends in δ2H and δ18O of nearshore Lake Michigan water, including nearshore depth effects; b) correlations between water isotope ratios and δ2H and δ18O of fish collected in the same location; and c) patterns of sampling-event corrected fish δ2H and δ18O collected over different sites and seasons. For a subset of fish, we examined correlations between δ2H and δ18O and two measures more commonly used in food web studies: δ13C and δ15N. We expected that nearshore water δ2H and δ18O values would be more variable than offshore values documented by Jasechko et al. (2014); that, at a given location, runoff dilution effects would lead to surface water being depleted in the heavier isotope as compared to bottom water (e.g., Jameel et al., 2018); and that water and fish collected from sites close to larger tributaries would exhibit stronger precipitation and runoff signals than those collected near smaller tributaries (Doucett et al., 2007). We expected that both δ2H and δ18O of fish tissue would vary spatially and seasonally; however, with the lowest δ18O values observed during times of greatest tributary inflow and near northern tributaries with more 18O-depleted runoff, and competing effects of water and allochthonous food input producing less consistent patterns for δ2H.
Section snippets
Field collections and processing
We collected water and small-bodied fishes from nearshore Lake Michigan in 2010. All sampling occurred at bathymetric depths <15 m and within 6 km of shore, though exact distances from shore varied based on bathymetric slope at each site (Fig. 1). At sites and times where water was collected (Table 1), we collected 5 discrete water samples with a Niskin bottle. Along the 3 m bathymetric depth, we collected 1 sample from the middle of the water column. Along the approximately 8 m and 15 m
Nearshore water
Observed nearshore Lake Michigan water δ2H and δ18O values varied from −50.7 ‰ to −40.1 ‰, and −6.3 ‰ to −5.1 ‰, respectively. There was a significant linear relationship between observed δ2H and δ18O of nearshore Lake Michigan water samples (Fig. 2a; R2 = 0.33, F1,82 = 39.7, p < 0.0001, n = 84), and the Lake Michigan specific line coefficients of β = 8.0 and α = 2.5 (Jasechko et al. 2014) narrowly fell within the 95 % confidence intervals of the fitted line coefficients (βSample = 6.1, 95 %
Discussion
Our results support the notion that δ2H and δ18O values are useful tools for exploring aquatic food webs, however, they also reinforce that these values can reflect a variety of signals and require careful interpretation. Our data suggest that δ2H can reflect trophic position, both δ2H and δ18O can reflect local water dynamics, and fish tissue can reflect both feeding and habitat characteristics. Contrary to other studies (e.g., Myers et al., 2012), we saw no clear relationships between
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgements
This work was funded by Illinois-Indiana Sea Grant, Wisconsin Sea Grant, Michigan Sea Grant, and the US EPA Great Lakes National Program Office Great Lakes Restoration Initiative. We thank Harvey Bootsma, Sergiusz Czesny, Sara (Creque) Thomas, Austin Happel, James Hart, Lee Henebry, Stephen Hensler, Chris Houghton, Jeff Houghton, John Janssen, David Jude, Joshua LaFountain, Deborah Lichti, Alicia Roswell, Ben Turschak, Erin (Wilcox) Houghton, and many other personnel for their help in data
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