Shaley A. Valentine Greg W. Whitledge Kristen L. Bouska 20250408 tabular digital data ScienceBase U.S. Geological Survey https://doi.org/10.5066/P1YFYSUD Laser ablation inductively coupled mass spectrometry was used to quantify Strontium:Calcium of the core of each otolith and classified each fish to a natal origin (i.e., tributary or potential resident). Predator fishes of focus were Bowfin and Largemouth Bass from the Upper Mississippi River (Pools 4, 8, and 13). Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. We sought to identify recruitment sources for predators and their prey to help understand how assemblages use connectivity across multiple trophic levels and whether predator and prey recruitment is coupled. 20190615 20201031 ground condition Complete None planned Upper Mississippi River National Wildlife and Fish Refuge -90.4300 -90.2200 42.2800 42.1700 ISO 19115 Topic Category biota None river systems USGS Thesaurus fish USGS Metadata Identifier USGS:67ae125bd34e3f09c0e0efde None Upper Mississippi River Upper Mississippi River Wildlife and Fish Refuge Upper Mississippi River Wildlife and Fish Refuge None Largemouth Bass Emerald Bowfin Kingdom Animalia Subkingdom Bilateria Infrakingdom Deuterostomia Phylum Chordata Subphylum Vertebrata Infraphylum Gnathostomata Superclass Actinopterygii Class Teleostei Superorder Acanthopterygii Order Perciformes Suborder Percoidei Family Centrarchidae Genus Micropterus Species Micropterus salmoides TSN: 168160 Class Holostei Order Amiiformes Family Amiidae Genus Amia Species Amia ocellicauda TSN: 1227964 None. Please see 'Distribution Info' for details. None. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations. Kristen L Bouska USGS - MIDCONTINENT REGION Ecologist mailing and physical

Upper Midwest Env Sciences Ctr,UMESC - Laboratory/Office - #1

La Crosse WI 54603 608-781-6344 kbouska@usgs.gov Upper Mississippi River Restoration Program's Long Term Resource Monitoring Element Shaley A Valentine Gregory W. Whitledge Kristen L Bouska 2024 dataset https://www.sciencebase.gov U.S. Geological Survey https://doi.org/10.5066/p14fvik2 Shaley A. Valentine Kristen L. Bouska Gregory W. Whitledge 20240418 publication Freshwater Biology vol. 69, issue 6 n/a Wiley ppg. 859-878 https://doi.org/10.1111/fwb.14251 Trace element analysis followed standard procedures Data was reviewed for inconsistencies and errors Data represent microchemistry signatures of otolith core of specific species and water at specific locations Personnel through the Long-Term Resource Monitoring element of the Upper Mississippi River Restoration Program (LTRM) collected largemouth bass and bowfin from Pools 4, 8, and 13 from June 15 to October 31 during 2019 and 2020. Personnel used low-pulse DC electrofishing as well as fyke nets (bowfin only) to collect largemouth bass and bowfin using standard LTRM sampling protocols described by Ratcliff et al. (2014). We collected additional bowfin, sciaenids (i.e., freshwater drum (Aplodinotus grunniens, Rafinesque)), and ictalurids from closed bodies of water and relied on data from previous studies (Smith & Whitledge, 2011; Zeigler & Whitledge, 2011; Laughlin et al., 2016) to characterize relationships between water and otolith chemistry. We assumed fish from closed water bodies lived their entire lives in the collection site, so it was near certain that otolith chemistry reflected water chemistry. We removed, dried, and stored otoliths in microcentrifuge tubes for future analysis. Prey fish were identified in a diet analysis (Valentine & Whitledge, 2024), and we removed and cleaned with nanopure water to remove digestive fluid, dried, and stored the otoliths in microcentrifuge tubes. We only analyzed prey fish from families that had a greater than 1% numerical abundance in the stomach contents among fish diet items (i.e., families Leuciscidae, Clupeidae, Centrarchidae, Percidae, Ictaluridae, and Sciaenidae; Valentine & Whitledge, 2024). Ratcliff, E. N., E. J. Gittinger, T. M. O'Hara, & B. S. Ickes, 2014. Long term resource monitoring program procedures: Fish monitoring. In US Army Corps of Engineers, Upper Mississippi River restoration–environmental management program (2nd ed.). Report LTRMP-2014-P001. The U.S. Army Corps of Engineers. Smith, K. T. & G. Whitledge, 2011. Trace element and stable isotopic signatures in otoliths and pectoral spines as potential indicators of catfish environmental history. Catfish 2010: Proceedings of the 2nd International Catfish Symposium American Fisheries Society Symposium 77: 645–660. Zeigler, J. M. & G. W. Whitledge. 2010. Assessment of otolith chemistry for identifying source environment of fishes in the lower Illinois River, Illinois. Hydrobiologia 638: 109–119. https://doi.org/10.1007/s10750-009-0033-1 Laughlin, T. W., G. W. Whitledge, D. C. Oliver & N. P. Rude, 2016. Recruitment sources of channel and blue catfishes inhabiting the Middle Mississippi River. River Research and Applications 32: 1808–1818. https://doi.org/10.1002/rra Valentine, S. A. & G. W. Whitledge, 2024. Spatial and ontogenetic patterns of the trophic ecology of two predatory species in a large river. Ecology of Freshwater Fish. 20201231 Following protocols outlined by Valentine et al. (2024a), we sectioned, sanded, polished, and mounted otoliths for trace element analysis. First, we embedded otoliths in Epofix Epoxy resin. Second, we sectioned the embedded otoliths in the transverse plane using a Buehler IsoMet™ low speed saw to obtain a thin section containing the core. Third, to expose the otolith primordium and annuli, we sanded each thin section using 800 and 1,000 grit sandpaper and polished it using lapping film. Finally, we mounted thin sections onto acid-washed glass slides and stored slides in acid-washed polypropylene Petri dishes (Laughlin et al., 2016; Valentine et al. 2024a). We targeted at least 50 otoliths for analysis from each predator species (i.e., largemouth bass and bowfin) and pool (i.e., Pools 4, 8, and 13). For prey fish, we prepared one otolith from each identifiable fish prey using the same methods as the predator otoliths. We analyzed sectioned fish otoliths using laser ablation inductively coupled plasma mass spectrometry (LA-ICPMS; Pracheil et al., 2014). Hard parts were analyzed for strontium (88Sr Bowfin, 86Sr all other species), magnesium (25Mg), and calcium (43Ca) using a Thermo X-Series 2 ICPMS coupled with a CETAC technologies (Teledyne CETAC Technologies, Omaha, Nebraska) LSX-266 LA system. We ablated a transect starting at 100 µm from the core of each otolith, passing through the core, and extending to the opposite edge of the otolith (Laughlin et al., 2016; Whitledge et al., 2019; Valentine et al., 2024a). This transect corresponded to the ontogenetic record of each fish’s environmental history where the core represented early life environmental history (i.e., recruitment source), and the edge represented the most recent environmental history (i.e., capture location). The laser transect had a beam diameter of 25 µm, scan rate of 5 µm/s, pulse rate of 10 Hz, and energy level of 35%. We preceded and succeeded each transect with a 30s Argon gas blank and a 30s washout period. After every 10-20 samples, we ablated three replicate 300 µm transects of CaCO3 standard (United States Geological Survey, MACS-3) to enable calculation of elemental concentrations from raw isotopic count data and to adjust for possible instrument drift (Laughlin et al., 2016; Valentine et al., 2024a). We converted elemental counts resulting from LA-ICPMS to Sr:Ca. After correcting for instrument drift, the MACS-3 matrix, and the argon gas blank, we converted Sr counts to concentrations (µg/g). We converted resulting Sr concentrations (µg/g) to Sr:Ca (mmol:mol) by normalizing to Ca concentration based on Ca as the pseudo-internal standard element (Laughlin et al., 2016; Whitledge et al., 2019; Valentine et al., 2024a). We used ElementR Shiny application (Sirot et al., 2016) for elemental conversions. All elemental concentrations were above the limits of detection. Prior to model creation and subsequent individual classification, we removed data from vateritic otoliths prior to analyses (Valentine et al., 2024a). We determined vateritic otolith cores to have low Sr:Ca (e.g., <150 µmol:mol) and high Mg:Ca (e.g., > 1000 µmol:mol) in combination (Tzeng et al., 2007). Strontium substitution rates in vaterite differ from aragonite, so our water-otolith chemistry relationships would not accurately classify fish environmental history from vateritic otoliths (Tzeng et al., 2007; Pracheil et al., 2019). Valentine, S. A., K. L. Bouska & G. W. Whitledge, 2024a. Network connectivity contributes to native small-bodied fish assemblages in the Upper Mississippi River System. Freshwater Biology 00, 1–20. https://doi.org/10.1111/fwb.14251 Laughlin, T. W., G. W. Whitledge, D. C. Oliver & N. P. Rude, 2016. Recruitment sources of channel and blue catfishes inhabiting the Middle Mississippi River. River Research and Applications 32: 1808–1818. https://doi.org/10.1002/rra Whitledge, G. W., B. Knights, J. Vallazza, J. Larson, M. J. Weber, J. T. Lamer, Q. E. Phelps & J. D. Norman, 2019. Identification of bighead carp and silver carp early-life environments and inferring Lock and Dam 19 passage in the Upper Mississippi River: insights from otolith chemistry. Biological Invasions 21: 1007–1020. https://doi.org/10.1007/s10530-018-1881-2 Sirot, C., F. Guilhaumon, F. Ferraton, A. Darnaude, J. Panfili & A. Child, 2016. elementR: A shiny application for reducing elemental LA-ICPMS data from solid structures. R package version 1.0. https://github.com/charlottesirot/elementR Tzeng, W. N., C. W. Chang, C. H. Wang, J. C. Shiao, Y. Iizuka, Y. J. Yang, C. F. You & L. Ložys, 2007. Misidentification of the migratory history of anguillid eels by Sr/Ca ratios of vaterite otoliths. Marine Ecology Progress Series 348: 285–295. https://doi.org/10.3354/meps07022 Pracheil, B. M., J. Lyons, E. J. Hamann, P. H. Short & P. B. McIntyre, 2019. Lifelong population connectivity between large rivers and their tributaries: A case study of shovelnose sturgeon from the Mississippi and Wisconsin Rivers. Ecology of Freshwater Fish 28: 20–32. https://doi.org/10.1111/eff.12423 20221231 We used previously published or developed family-specific water-otolith chemistry relationships to classify fishes to potential recruitment sources. Previously published otolith-water Sr:Ca relationships predicted expected ranges of otolith chemistry for each potential water body (i.e., mainstem river or tributary) in the study area for centrarchids, percids, clupeids, and leuciscids (Valentine et al., 2024a). Ictalurids, sciaenids, and bowfin did not have published water-otolith chemistry relationships that controlled for variability among sampling locations. We developed a relationship for ictalurids and sciaenids using mixed effects linear models between water chemistry and otolith chemistry of collected individuals from the UMR and closed water bodies using archived water chemistry data (Valentine et al., 2024b). We used sampling location as a random effect and average water chemistry as a fixed effect to predict otolith edge chemistry (Valentine et al., 2024a). Additionally, we included sampling location as a weight to reduce the influence of outliers in model creation, which led to reduced Akaike’s Information Criterion for models. Mean Sr:Ca of the last 50 µm of the ablated otolith transect corresponded to the edge chemistry of each otolith, and we assumed this otolith chemistry corresponded to the water chemistry of the environment of capture. For bowfin, we used partition coefficients to determine the relationship between water and otolith Sr:Ca. Bowfin were sampled from water bodies with a narrow Sr:Ca range, leading to poor predictability for bowfin origins or inappropriate classification methods if we extrapolated resulting models. We followed methods in Whitledge et al. (2021) to create partition coefficients between bowfin otolith Sr:Ca and water body Sr:Ca for each water body of capture. We assumed a linear relationship between otolith and water Sr:Ca. Briefly, the partition coefficient was the ratio of the mean otolith edge Sr:Ca (µmol:mol) for individuals within the water body to the mean water Sr:Ca (mmol:mol) for the water body. We used the resulting or published models and partition coefficients to predict the expected otolith chemistry ranges for each tributary and the UMR. To avoid issues with extrapolating predicted otolith chemistry values from models (Hanh, 1977), we calculated upper and lower limits of otolith Sr:Ca by location only when we could do so within the bounds of the taxa-specific water-otolith models. Using archived water chemistry data (Valentine et al., 2024a), we calculated predicted otolith chemistry ranges from the 5th and 95th percentiles of Sr:Ca water chemistry profiles (Laughlin et al., 2016; Rude & Whitledge, 2019; Whitledge et al., 2019; Valentine et al., 2024a) using the model equations. For bowfin, we multiplied the lowest (96.9 otolith:water Sr:Ca) and highest (178 otolith:water Sr:Ca) partition coefficient values by the 5th and 95th percentiles of Sr:Ca water chemistry profiles, respectively, for each water body (Whitledge et al., 2021). These ranges corresponded to expected otolith chemistries for each river where the minimum and maximum values represented thresholds of minimum and maximum otolith chemistry values. Valentine, S. A., K. L. Bouska & G. W. Whitledge, 2024a. Network connectivity contributes to native small-bodied fish assemblages in the Upper Mississippi River System. Freshwater Biology 00, 1–20. https://doi.org/10.1111/fwb.14251 Valentine, S. A., G. W. Whitledge & K. L. Bouska, 2024b. Otolith microchemistry for determining natal origins of prey fishes in the Upper Mississippi River System: U.S. Geological Survey data release. https://doi.org/10.5066/P14FVIK2 Whitledge, G. W., D. C. Chapman, J. R. Farver, S. J. Herbst, N. E. Mandrak, J. G. Miner, K. L. Pangle, & P. M. Kocovsky, 2021. Identifying sources and year classes contributing to invasive grass carp in the Laurentian Great Lakes. Journal of Great Lakes Research 47: 14-28. Hanh, G. J, 1977. The hazards of extrapolation in regression analysis. Journal of Quality Technology 9: 159–165. https://doi.org/10.1080/00224065.1977.11980791 Laughlin, T. W., G. W. Whitledge, D. C. Oliver & N. P. Rude, 2016. Recruitment sources of channel and blue catfishes inhabiting the Middle Mississippi River. River Research and Applications 32: 1808–1818. https://doi.org/10.1002/rra Rude, N. P. & G. W. Whitledge, 2019. Natal environments of age-0 paddlefish in the Middle Mississippi River inferred from dentary microchemistry. River Research and Applications 35: 1554–1562. https://doi.org/10.1002/rra.3526 Whitledge, G. W., B. Knights, J. Vallazza, J. Larson, M. J. Weber, J. T. Lamer, Q. E. Phelps & J. D. Norman, 2019. Identification of bighead carp and silver carp early-life environments and inferring Lock and Dam 19 passage in the Upper Mississippi River: insights from otolith chemistry. Biological Invasions 21: 1007–1020. https://doi.org/10.1007/s10530-018-1881-2 20220630 We classified each predator and prey fish to potential recruitment sources. To determine recruitment source, we compared the average Sr:Ca of first 50 µm centered on the otolith core to the predicted otolith Sr:Ca for each river similar to methods outlined in Valentine et al. (2024a). For fishes that had otolith core chemistry outside of the predicted mixed effects model limits for otolith chemistry, we determined these fishes to be “unclassifiable” and noted whether individuals had a mean otolith core Sr:Ca above or below the model limits. Due to overlap in water Sr:Ca, some fishes classified into multiple tributaries or the mainstem river. Therefore, we classified individual fishes as “tributary” or “potential resident” origin where tributary origin individuals only classified to tributaries whereas potential resident origin individuals classified into at least one tributary and the UMR. Because some tributaries had distinct water chemistry, we refined these general category classifications when possible to specific rivers (Valentine et al., 2024a). However, due to uncertainty in origin, for tributary origin individuals, those that classified into three or more tributaries and whose confluences with the UMR span multiple reaches were grouped into a “tributary” category. To reduce the number of categories for easier comparison, individuals that classified to the Wisconsin River and one or two other tributaries throughout the UMR were classified as “small tributary or Wisconsin River”. For tributary origin individuals, if a mean otolith core Sr:Ca fell outside of the range of all known water bodies’ predicted otolith chemistry and was within the model limits, we noted whether this otolith had low or high Sr:Ca. For potential residents that classified into three or more tributaries and the UMR, we classified them as “tributary or UMR” origin (Valentine et al., 2024a). Valentine, S. A., K. L. Bouska & G. W. Whitledge, 2024a. Network connectivity contributes to native small-bodied fish assemblages in the Upper Mississippi River System. Freshwater Biology 00, 1–20. https://doi.org/10.1111/fwb.14251 20231231 Shaley Valentine The Ohio State University Postdoctoral Scholar mailing

232 Research Center

Columbus Ohio 43212 6142921613 valentine.474@osu.edu Russian Doll Prey and Predator Origins.csv Comma Separated Value (CSV) file containing data. Producer Defined ID Individual fish identification code Producer Defined IDs beginning with VR were part of a vital rates project for which site information is available upon request from the Upper Mississippi River Restoration Program's Long Term Resource Monitoring Element (https://umesc.usgs.gov/ltrm-home.html). Family Family that the individual fish belongs to Producer Defined Centrarchidae Centrarchidae family Producer defined Clupeidae Clupeidae family Producer defined Leuciscidae Leuciscidae family Producer defined Ictaluridae Ictaluridae family Producer defined Sciaenidae Sciaenidae family Producer defined Percidae Percidae family Producer defined Amiidae Amiidae family Producer defined Genus Genus that the individual fish belongs to Producer Defined << empty cell >> No Data Producer defined Lepomis Lepomis genus Producer defined Dorosoma Dorosoma genus Producer defined Unknown Unknown Producer defined Notemigonus Notemigonus family Producer defined Ameiurus Ameiurus family Producer defined Notropis Notropis family Producer defined Aplodinotus Aplodinotus family Producer defined Micropterus Micropterus family Producer defined Etheostoma Etheostoma family Producer defined Perca Perca family Producer defined Ictalurus Ictalurus family Producer defined Pylodictus Pylodictus family Producer defined Percina Percina family Producer defined Pimephales Pimephales family Producer defined Sander Sander family Producer defined Amia Amia family Producer defined Species Species that the individual predator belongs to. Prey were not included as species here Producer Defined NA No Data Producer defined largemouth bass Micropterus nigricans Producer defined Bowfin Amia ocelicauda Producer defined Analysis.Taxonomy Family that each prey belongs to or species that each predator belongs to Producer Defined Centrarchidae Centrarchidae family Producer defined Clupeidae Clupeidae family Producer defined Leuciscidae Leuciscidae family Producer defined Ictaluridae Ictaluridae family Producer defined Sciaenidae Sciaenidae family Producer defined Percidae Percidae family Producer defined largemouth bass Micropterus nigricans Producer defined Bowfin Amia ocelicauda Producer defined Group Either prey or predator depending on trophic level Producer Defined Prey Prey fish Producer defined Predator Predator fish Producer defined SrCore Average strontium:calcium value for the core of each otolith. Sr86 for all species except bowfin, which is Sr88 Producer Defined 73.23793418 2291.480949 Mg25Core Average magnesium:calcium value for the core of each otolith Producer Defined NA No Data Producer defined 57.82952632 5658.476286 Year.Collection The year the predator, and its subsequent stomach contents (prey) were collected Producer Defined 2019 2020 Reach.Collection Reach of the Mississippi River (Pool 4, Pool 8, or Pool 13) from which the predator and its subsequent prey were collected Producer Defined Pool 8 Pool 8 Producer defined Pool 13 Pool 13 Producer defined Pool 4 Pool 4 Producer defined Origin.Classification The origin category each fish classified to based on its SrCore and the predicted otolith chemistry values for each water body. Producer Defined MN Minnesota River Producer defined Low Sr:Ca Below model limits Producer defined UIA/WI Upper Iowa River or Wisconsin River Producer defined TRIB General tributary Producer defined Vaterite Vaterite otolith Producer defined BLK/CAN/UMR Black River, Cannon River, or Upper Mississippi River Producer defined BLK/MN/UMR Black River, Minnesota River, or Upper Mississippi River Producer defined CHP/MAQ/WI Chippewa River, Maquoketa River, or Wisconsin River Producer defined CHP/MAQ/ZUM Chippewa River, Maquoketa River, or Zumbro River Producer defined MAQ/WI/ZUM Maquoketa River, Wisconsin River, or Zumbro River Producer defined ROT/WI Root River or Wisconsin River Producer defined WI Wisconsin River Producer defined TRIB/UMR General Tributary or Upper Mississippi River Producer defined MAQ/WI Maquoketa River or Wisconsin River Producer defined MN/UMR Minnesota River or Upper Mississippi River Producer defined Above Above model limits Producer defined Small Tributary/WI Small tributary or Wisconsin River Producer defined Origin.Category The major categories that each fish classified to (Unclassified, Vaterite, Potential Resident, Tributary) Producer Defined Tributary General tributary origin Producer defined Unclassifiable Origin unable to be classified Producer defined Vaterite Vaterite otoloths were unable to be classified Producer defined Potential Resident Classifed as potential resident Producer defined Model.Limits Determination of whether otolith chemistry was above/below/within regression limits Producer Defined NA No Data Producer defined Within Within regression limits Producer defined Above Above regression limits Producer defined Below Below regression limits Producer defined Vaterite Vaterite otoliths were not classified Producer defined Origin.Simple The origin categories that were used in analysis that accounts for whether otolith chemistry was above/below regression limits and for groupings or many categories into more succinct ones like “Small Tributary or the Wisconsin River” Producer Defined MN Minnesota River Producer defined Above Above model regression limits Producer defined Below Below model regression limits Producer defined Vaterite Vaterite otoliths were not classified Producer defined BLK/CAN/UMR Black River, Cannon River, or Upper Mississippi River Producer defined BLK/MN/UMR Black River, Minnesota River, or Upper Mississippi River Producer defined SMALL TRIB/WI Small tributary or Wisconsin River Producer defined CHP/MAQ/ZUM Chippewa River, Maquoketa River, or Zumbro River Producer defined Low Sr:Ca Low Sr:Ca Producer defined WI Wisconsin River Producer defined TRIB General tributary origin Producer defined TRIB/UMR General tributary or Upper Mississippi River Producer defined MN/UMR Minnesota River or Upper Mississippi River Producer defined Regression Fish Russian Doll.csv Comma Separated Value (CSV) file containing data. Producer Defined ID Individual fish identification code Producer Defined << empty cell >> No Data Producer defined IDs beginning with VR were part of a vital rates project for which site information is available upon request from the Upper Mississippi River Restoration Program's Long Term Resource Monitoring Element (https://umesc.usgs.gov/ltrm-home.html). SrCore Average strontium value for the core of each otolith. Sr86 for all species except bowfin, which is Sr88 Producer Defined NA No Data Producer defined 70.7164925 5346.432882 Mg25Core Average magnesium value for the core of each otolith Producer Defined NA No Data Producer defined 27.005456 5658.476286 SrEdge Average strontium:calcium value for the edge of each otolith. Sr86 for all species except bowfin, which is Sr88 Producer Defined 92.70030808 3954.886181 Mg25Edge Average magnesium:calcium value for the edge of each otolith Producer Defined NA No Data Producer defined 27.005456 2532.891217 Water.SrCa Average water strontium:calcium for each water body Producer Defined 0.66336 4.46131 Species Species of fish Producer Defined Freshwater Drum Freshwater Drum Producer defined Eyespot bowfin Eyespot bowfin Producer defined Channel catfish Channel catfish Producer defined Flathead catfish Flathead catfish Producer defined Yellow bullhead Yellow bullhead Producer defined Catfish Catfish Producer defined Blue catfish Blue catfish Producer defined Family Family of fish Producer Defined Sciaenidae Sciaenidae Producer defined Amiidae Amiidae Producer defined Ictaluridae Ictaluridae Producer defined Scientific Name Latin name Producer Defined Aplodinotus grunniens Aplodinotus grunniens Producer defined Amia ocellicauda Amia ocellicauda Producer defined Ictalurus punctatus Ictalurus punctatus Producer defined Pylodictis olivaris Pylodictis olivaris Producer defined Ameiurus natalis Ameiurus natalis Producer defined Ictalurus spp. Ictalurus spp. Producer defined Ictalurus furcatus Ictalurus furcatus Producer defined Sampling.Location Location of sampling effort Producer Defined Ack – Apple Creek Adl - Anderson Lake Big Muddy River Bpt - Borrow Pit (this is along highway 3 near the Middle MS River wetland field station) Buttonland Swamp Carlyle Lake Cck – Clear Creek Cedar Lake Clc - Chain Lake Chute Crab Orchard Lake Cvr – Cuivre River Devil's Kitchen Lake Dvc – Headwater Diversion Channel Fox – Fox River Gtc - Grand Tower Chute Illinois River irg - Illinois River @ Glades, IL Kinkaid Lake Ksr – Kaskaskia River La Grange Pool of the Illinois River Little Grassy Lake Lower Mississippi River Meredosia Lake Middle Mississippi River Missouri River mmrb - Middle Mississippi River mrt - Middle Mississippi River @ Thebes morb - Missouri River msl - Middle Swan Lake Ohio River RM 942.7 Ohio River Smithland Pool Pool 13 Upper Mississippi River Pool 26 Upper Mississippi River Pool 4 Upper Mississippi River Pool 8 Upper Mississippi River Prp - Prairie Pond Sls - South Spring Lake Stl - Stump Lake Swan Lake Umb - Upper Mississippi River @ Batchtown Umr – Upper Mississippi River Upper Mississippi River Source Original source of microchemistry data Producer Defined Zeigler & Whitledge, 2011 Zeigler, J. M. & G. W. Whitledge. 2010. Assessment of otolith chemistry for identifying source environment of fishes in the lower Illinois River, Illinois. Hydrobiologia 638: 109–119. https://doi.org/10.1007/s10750-009-0033-1 Producer defined Valentine current dataset Producer defined Laughlin unpublished dataset associated with Laughlin. 2015. Recruitment Sources of Blue Catfish Ictalurus Furcatus and Channel Catfish I. Punctatus Inhabiting the Middle Mississippi River. Southern Illinois University. Masters Thesis. Producer defined Smith & Whitledge, 2011 Smith, K. T. & G. Whitledge, 2011. Trace element and stable isotopic signatures in otoliths and pectoral spines as potential indicators of catfish environmental history. Catfish 2010: Proceedings of the 2nd International Catfish Symposium American Fisheries Society Symposium 77: 645–660. Producer defined GS ScienceBase U.S. Geological Survey mailing address

Denver Federal Center, Building 810, Mail Stop 302

Denver CO 80225 United States 1-888-275-8747 sciencebase@usgs.gov Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. Digital Data https://doi.org/10.5066/P1YFYSUD None 20250408 Kristen L Bouska USGS - MIDCONTINENT REGION Ecologist mailing and physical

Upper Midwest Env Sciences Ctr,UMESC - Laboratory/Office - #1

La Crosse WI 54603 608-781-6344 kbouska@usgs.gov FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata FGDC-STD-001.1-1999