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Spatially and temporally variable production pathways support the Lake Erie central basin food web.

Authors :
Tellier, Joshua M.
Höök, Tomas O.
Kraus, Richard T.
Collingsworth, Paris D.
Source :
Journal of Great Lakes Research; Oct2023, Vol. 49 Issue 5, p1137-1149, 13p
Publication Year :
2023

Abstract

In large freshwater systems, the dominant production pathways supporting food webs are often spatiotemporally variable. We used stable isotope analysis and analysis of covariance (ANCOVA) models to investigate spatial and interannual variation in the dominant production pathways supporting fish consumers within the central basin of Lake Erie. We examined C and N stable isotope ratios of zooplankton, benthic invertebrates, and four species of fish common to nearshore areas of the central basin (yellow perch, Perca flavescens ; white perch, Morone americana ; rainbow smelt, Osmerus mordax ; and round goby, Neogobius melanostomus) using tissue samples collected in 2017 and 2019. δ <superscript>13</superscript>C values varied by location consistent with expected baseline differences in nutrient loading (<superscript>13</superscript>C was more enriched in the southern region) in two of six ANCOVA models. Furthermore, δ <superscript>15</superscript>N values varied with individual fish size and by location in a manner consistent with spatial patterns of nutrient loading from surrounding agricultural landscapes (<superscript>15</superscript>N was more enriched in the northern region) and a longitudinal gradient of eutrophication, decreasing from west to east. These patterns were not exhibited by all species and did not necessarily persist across years, suggesting that additional factors (e.g., regional diet differences, river plume dynamics) also contributed to observed δ <superscript>13</superscript>C and δ <superscript>15</superscript>N variation. We suggest that spatiotemporal variation of stable isotope ratios should be accounted for in studies of trophic basis of production and food web structure in Lake Erie. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03801330
Volume :
49
Issue :
5
Database :
Supplemental Index
Journal :
Journal of Great Lakes Research
Publication Type :
Academic Journal
Accession number :
172778639
Full Text :
https://doi.org/10.1016/j.jglr.2023.07.006