Variability in fish and water hydrogen and oxygen stable isotope values in the nearshore region of a large water body |
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| Affiliation: | 1. Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USA;2. Illinois-Indiana Sea Grant College Program, West Lafayette, IN, USA;3. Department of Geology and Geophysics, University of Utah, Salt Lake City, UT, USA;1. Department of Geological and Environmental Sciences, Western Michigan University, 1903 W Michigan Avenue, Kalamazoo, MI 49008, United States;2. Department of Geological Sciences, Central Connecticut State University, 1615 Stanley Street, New Britain, CT 06050, United States;3. Department of Physical and Life Sciences, Nevada State College, 1300 Nevada State Drive, Henderson, NV 89002, United States;4. Department of Geological and Mining Engineering and Science, Michigan Technological University, 1400 Townsend Drive, Houghton, MI 49931, United States;5. Environmental Science Program, Trinity College, 300 Summit Street, Hartford, CT 06106, United States;1. Department of Landscape Architecture, University of Pennsylvania. 102 Meyerson Hall, 210 South 34th Street, Philadelphia, PA 19104, USA;2. Department of Landscape Architecture, University of Virginia, Charlottesville, VA, USA;1. Department of Biological Sciences, East Tennessee State University, Johnson City, TN, United States;2. Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, United States;1. Qinghai Earthquake Agency, Xining 810001, China;2. Key Laboratory of Comprehensive and Highly Efficient Utilization of Salt Lake Resources, Chinese Academy of Sciences and Qinghai Provincial Key Laboratory of Geology and Environment of Salt Lakes, Qinghai Institute of Salt Lakes, Chinese Academy of Sciences, Xining 810016, China;3. University of Chinese Academy of Sciences, Beijing 100049, China;4. Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation, Ministry of Education, Academy of Plateau Science and Sustainability, Qinghai Normal University, Xining 810008, China;5. State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810016, China;6. Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, School of Environmental Science and Engineering, Guangzhou University, Guangzhou 510006, China;1. Department of Fisheries and Wildlife, 480 Wilson Road, 13 Natural Resources Building, Michigan State University, East Lansing, MI 48864, United States;2. Department of Integrative Biology, 288 Farm Lane, Natural Sciences Building, Michigan State University, East Lansing, MI 48864, United States;3. Ecology, Evolution, and Behavior Program, 103 Giltner Hall, 293 Farm Lane, East Lansing, MI 48824, United States;1. Department of Forestry and Natural Resources, Purdue University, 715 W. State Street, West Lafayette, IN 47907-2061, USA;2. U.S. Geological Survey, Lake Erie Biological Station 380 Huron Street, Huron, OH 44839, USA;3. Lake Erie Management Unit, Ontario Ministry of Northern Development, Mines, Natural Resources and Forestry. RR # 2, 320 Milo Road, Wheatley ON, N0P 2P0, Canada;4. Lake Erie Fisheries Research Unit, New York State Department of Environmental Conservation, 178 Point Drive North, Dunkirk, NY 14048-1031, USA |
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| Abstract: | Incorporating organismal hydrogen (δ2H or δD) and oxygen (δ18O) stable isotope ratios into aquatic food web research can help elucidate relative reliance on shoreline inputs and/or feeding at different trophic levels; however, their interpretation is complicated by the fact that aquatic organisms derive hydrogen and oxygen from both their diet and the ambient water in which they reside. We examined spatial and seasonal patterns in δ2H and δ18O of field-collected water and small-bodied fishes. Samples were gathered from nearshore Lake Michigan, a dynamic region of a large, increasingly oligotrophic freshwater lake. We examined seasonal and spatial δ2H and δ18O values of surface and bottom water, and compared spatial δ2H and δ18O values of young-of-year yellow perch (Perca flavescens) and seasonal δ2H and δ18O values of round goby (Neogobius melanostomus). Nearshore δ2H and δ18O water values were more variable than previously-described offshore values. Variation in nearshore water δ2H and δ18O values was likely related to differential precipitation and/or discharges from tributaries, and there may be a surface dilution effect which led to lower δ18O values in nearshore surface waters than bottom waters. In our study, fish tissue δ2H and δ18O also varies more spatially than seasonally, and some findings suggest that fish tissue δ2H may reflect feeding at higher trophic levels. Though characteristics of the study system affect their interpretation, we suggest that δ2H and δ18O can be another tool to assess food web structure, with δ2H in particular having potential to resolve questions when δ13C or δ15N are inconclusive. |
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| Keywords: | Tracer Food web Round goby Yellow perch Lake Michigan |
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