Director, Upper Midwest Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, WI 53562
Impoundment construction has resulted in the alternation and loss of fluvial habitats, threatening the persistence of many native fishes. Compounding this threat, non-native species stocked into impoundments often invade interconnected fluvial habitats, where they may negatively affect native species. Black basses (genus Micropterus) are popular sportfishes with divergent ecologies: some taxa are tolerant of impoundments and widely stocked to create fishing opportunities, whereas others are endemic fluvial specialists that are threatened by introgression with non-native congeneric taxa. We investigated whether impoundments facilitate non-native invasion and introgression in two case study systems: Lake Lanier, Georgia, and Lake Tenkiller, Oklahoma. In both case studies, native fluvial taxa inhabited upstream tributaries and a non-native was established within the downstream impoundment. Results from longitudinal surveys of upstream tributaries provided clear evidence that non-natives invaded upstream from impoundments, and in some cases, extensive introgression with native taxa also occurred. Variation in spatial trends of invasion and directionalities of introgression across case studies provided insights into eco-evolutionary drivers. Within the riverscapes studied, proximity to impoundment appeared to influence invasion and introgression dynamics, and in one case, stream size was also influential. Introgression rates also varied markedly across the species pairs studied–from very little introgression to the onset of hybrid swarming–illustrating the importance of underlying eco-evolutionary mechanisms such as habitat alteration, propagule pressure, and reproductive isolation. Our results underscore the need to consider the upstream influences of impoundments, and the non-natives that invade from them, to create more holistic riverscape conservation plans for fluvial fishes, including native black basses.
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","language":"English","publisher":"Nature","doi":"10.1038/s41586-024-08419-4","usgsCitation":"Case, N.T., Gurr, S.J., Fisher, M.C., Blehert, D.S., Boone, C., Casadevall, A., Chowdhary, A., Cuomo, C.A., Currie, C.R., Denning, D.W., Ene, I.V., Fritz-Laylin, L.K., Gerstein, A.C., Gow, N.A., Gusa, A., Iliev, I., James, T.Y., Jin, H., Kahmann, R., Klein, B.S., Kronstad, J.W., Ost, K., Peay, K., Shapiro, R.S., Sheppard, D.C., Shlezinger, N., Stajich, J.E., Stukenbrock, E.H., Taylor, J.W., Wright, G.D., Cowen, L.E., Heitman, J., and Segre, J.A., 2025, Fungal impacts on Earth’s ecosystems: Nature, v. 638, p. 49-57, https://doi.org/10.1038/s41586-024-08419-4.","productDescription":"9 p.","startPage":"49","endPage":"57","ipdsId":"IP-157944","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":494406,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11970531","text":"External Repository"},{"id":481755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"638","noUsgsAuthors":false,"publicationDate":"2025-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Case, Nicola T.","contributorId":298382,"corporation":false,"usgs":false,"family":"Case","given":"Nicola","email":"","middleInitial":"T.","affiliations":[{"id":41123,"text":"Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":926448,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gurr, Sarah J.","contributorId":225454,"corporation":false,"usgs":false,"family":"Gurr","given":"Sarah","email":"","middleInitial":"J.","affiliations":[{"id":41118,"text":"Department of Biosciences, University of Exeter, Exeter, EX4 4QD, UK","active":true,"usgs":false}],"preferred":false,"id":926449,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Matthew C.","contributorId":127711,"corporation":false,"usgs":false,"family":"Fisher","given":"Matthew","email":"","middleInitial":"C.","affiliations":[{"id":7115,"text":"Imperial College of London","active":true,"usgs":false}],"preferred":false,"id":926450,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":140397,"corporation":false,"usgs":true,"family":"Blehert","given":"David","email":"dblehert@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":926451,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boone, Charles","contributorId":225459,"corporation":false,"usgs":false,"family":"Boone","given":"Charles","email":"","affiliations":[{"id":41123,"text":"Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":926452,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Casadevall, Arturo","contributorId":225468,"corporation":false,"usgs":false,"family":"Casadevall","given":"Arturo","email":"","affiliations":[{"id":41132,"text":"Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, 21205, USA","active":true,"usgs":false}],"preferred":false,"id":926453,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chowdhary, Anuradha","contributorId":350623,"corporation":false,"usgs":false,"family":"Chowdhary","given":"Anuradha","affiliations":[{"id":83794,"text":"Medical Mycology Unit, Department of Microbiology, Vallabhbhai Patel Chest Institute, University of Delhi; 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At least two major hurdles exist when applying this approach to invasive plants: (1) the design and screening of species- and gene-specific biomacromolecules (i.e., gene-silencing agents or GSAs) made of DNA, RNA, or peptides that can suppress the expression of target genes efficiently, and (2) the delivery vehicle needed to penetrate plant cell walls and other physical barriers (e.g., leaf cuticles). In this study, we investigated the cell-penetrating peptide (CPP)-mediated delivery of multiple types of GSAs (e.g., double-stranded RNA (dsRNA), artificial microRNA (amiRNA), and antisense oligonucleotide (ASO)) to knock down a putative phytoene desaturase (PDS) gene in the invasive common reed (Phragmites australis spp. australis). Both microscopic and quantitative gene expression evidence demonstrated the CPP-mediated internalization of GSA cargos and transient suppression of PDS expression in both treated and systemic leaves up to 7 days post foliar application. Although various GSA combinations and application rates and frequencies were tested, we observed limitations, including low gene-silencing efficiency and a lack of physiological trait alteration, likely owing to low CPP payload capacity and the incomplete characterization of the PDS-coding genes (e.g., the recent discovery of two PDS paralogs) in P. australis. Our work lays a foundation to support further research toward the development of convenient, cost-effective, field-deployable, and environmentally benign gene-silencing technologies for invasive P. australis management.
","language":"English","publisher":"MDPI","doi":"10.3390/plants14030458","usgsCitation":"Ji, Q., Kowalski, K., Golenberg, E., Chung, S., Barker, N., Bickford, W.A., and Gong, P., 2025, Cell penetrating peptide-mediated delivery of gene-silencing nucleic acids to the invasive common reed Phragmites australis via foliar application: Plants, v. 14, no. 3, 458, 23 p., https://doi.org/10.3390/plants14030458.","productDescription":"458, 23 p.","ipdsId":"IP-164211","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":487424,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/plants14030458","text":"Publisher Index Page"},{"id":482908,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi, 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\"}}]}","volume":"14","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Ji, Qing","contributorId":351848,"corporation":false,"usgs":false,"family":"Ji","given":"Qing","affiliations":[{"id":83678,"text":"Bennett Aerospace, Inc.","active":true,"usgs":false}],"preferred":false,"id":929597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":929598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Golenberg, Edward M.","contributorId":351849,"corporation":false,"usgs":false,"family":"Golenberg","given":"Edward M.","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":929599,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chung, Seung Ho","contributorId":351850,"corporation":false,"usgs":false,"family":"Chung","given":"Seung Ho","affiliations":[{"id":37304,"text":"U.S. Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":929600,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barker, Natalie D.","contributorId":351851,"corporation":false,"usgs":false,"family":"Barker","given":"Natalie D.","affiliations":[{"id":37304,"text":"U.S. Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":929601,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bickford, Wesley A. 0000-0001-7612-1325 wbickford@usgs.gov","orcid":"https://orcid.org/0000-0001-7612-1325","contributorId":5687,"corporation":false,"usgs":true,"family":"Bickford","given":"Wesley","email":"wbickford@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":929602,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gong, Ping","contributorId":351854,"corporation":false,"usgs":false,"family":"Gong","given":"Ping","affiliations":[{"id":37304,"text":"U.S. Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":929603,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70263585,"text":"70263585 - 2025 - The effects of imidacloprid and polyester microfibers on the larval development of the endangered sunflower star","interactions":[],"lastModifiedDate":"2025-03-25T15:58:23.552614","indexId":"70263585","displayToPublicDate":"2025-02-05T09:00:17","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"The effects of imidacloprid and polyester microfibers on the larval development of the endangered sunflower star","docAbstract":"Sea star wasting syndrome (SSWS) has affected numerous species of sea star, with populations of Pycnopodia helianthoides (Brandt, 1835) left most at risk. As their populations are struggling to recover, it is important to gain a better understanding of the impacts that the multiple stressors in their habitats can have on their populations. Contaminant stressors in particular are of increasing importance, as aquatic organisms can be exposed to a dynamic range of contaminants from nearby anthropogenic activity that may affect their future recovery efforts. This study is the first to quantify the effects of contaminant stressors on the larvae of P. helianthoides. We exposed P. helianthoides larvae to the neonicotinoid insecticide imidacloprid and polyester microfibers, both individually and in combination, at environmentally relevant concentrations (10 ng/L and 25 fibers/L, respectively) to measure the effects of these contaminants on their early life stages. Imidacloprid exposure resulted in stomach malformation in 10% of larvae and increased mortality during early development (p < 0.001), and all treatments resulted in increased larval lengths relative to controls (p < 0.001). During settlement, imidacloprid resulted in more rapid settlement responses than in the controls (p < 0.01). These findings highlight the need for further research investigating the effects of contaminant stressors to endangered organisms during reintroduction, as well as a more comprehensive understanding of the effects of pesticides to non-target organisms.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgaf039","usgsCitation":"Tissot, A.G., Granek, E.F., Curliss, F., Kalytiak-Davis, A., Hodin, J., and Hladik, M.L., 2025, The effects of imidacloprid and polyester microfibers on the larval development of the endangered sunflower star: Environmental Toxicology and Chemistry, v. 44, no. 4, p. 1107-1119, https://doi.org/10.1093/etojnl/vgaf039.","productDescription":"13 p.","startPage":"1107","endPage":"1119","ipdsId":"IP-171431","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":482110,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Tissot, Alexandra G.","contributorId":269833,"corporation":false,"usgs":false,"family":"Tissot","given":"Alexandra","email":"","middleInitial":"G.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":927436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granek, Elise F.","contributorId":176630,"corporation":false,"usgs":false,"family":"Granek","given":"Elise","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":927437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Curliss, Fiona","contributorId":350948,"corporation":false,"usgs":false,"family":"Curliss","given":"Fiona","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":927438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kalytiak-Davis, Augustin","contributorId":350949,"corporation":false,"usgs":false,"family":"Kalytiak-Davis","given":"Augustin","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":927439,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hodin, Jason","contributorId":295360,"corporation":false,"usgs":false,"family":"Hodin","given":"Jason","email":"","affiliations":[{"id":63853,"text":"Friday Harbor Labs","active":true,"usgs":false}],"preferred":false,"id":927440,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":205314,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":927441,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70264280,"text":"70264280 - 2025 - Systematic shifts in the variation among host individuals must be considered in climate-disease theory","interactions":[],"lastModifiedDate":"2025-03-10T13:57:41.100594","indexId":"70264280","displayToPublicDate":"2025-02-05T08:54:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Systematic shifts in the variation among host individuals must be considered in climate-disease theory","docAbstract":"To make more informed predictions of host–pathogen interactions under climate change, studies have incorporated the thermal performance of host, vector and pathogen traits into disease models to quantify effects on average transmission rates. However, this body of work has omitted the fact that variation in susceptibility among individual hosts affects disease spread and long-term patterns of host population dynamics. Furthermore, and especially for ectothermic host species, variation in susceptibility is likely to be plastic, influenced by variables such as environmental temperature. For example, as host individuals respond idiosyncratically to temperature, this could affect the population-level variation in susceptibility, such that there may be predictable functional relationships between variation in susceptibility and temperature. Quantifying the relationship between temperature and among-host trait variation will therefore be critical for predicting how climate change and disease will interact to influence host–pathogen population dynamics. Here, we use a model to demonstrate how short-term effects of temperature on the distribution of host susceptibility can drive epidemic characteristics, fluctuations in host population sizes and probabilities of host extinction. Our results emphasize that more research is needed in disease ecology and climate biology to understand the mechanisms that shape individual trait variation, not just trait averages.
","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rspb.2024.2515","usgsCitation":"Mihaljevic, J., and Paez, D.J., 2025, Systematic shifts in the variation among host individuals must be considered in climate-disease theory: Proceedings of the Royal Society B: Biological Sciences, v. 292, 20242515, https://doi.org/10.1098/rspb.2024.2515.","productDescription":"20242515","ipdsId":"IP-153886","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":483130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"292","noUsgsAuthors":false,"publicationDate":"2025-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Mihaljevic, Joseph R.","contributorId":352200,"corporation":false,"usgs":false,"family":"Mihaljevic","given":"Joseph R.","affiliations":[{"id":84130,"text":"School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ 86011","active":true,"usgs":false}],"preferred":false,"id":930247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Páez, David James 0000-0001-9035-394X","orcid":"https://orcid.org/0000-0001-9035-394X","contributorId":296751,"corporation":false,"usgs":true,"family":"Páez","given":"David","middleInitial":"James","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":930248,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70267521,"text":"70267521 - 2025 - Preprint: Simulated seasonal loads of total nitrogen and total phosphorus by major source from watersheds draining to Washington waters of the Salish Sea, 2005 through 2020","interactions":[{"subject":{"id":70267521,"text":"70267521 - 2025 - Preprint: Simulated seasonal loads of total nitrogen and total phosphorus by major source from watersheds draining to Washington waters of the Salish Sea, 2005 through 2020","indexId":"70267521","publicationYear":"2025","noYear":false,"title":"Preprint: Simulated seasonal loads of total nitrogen and total phosphorus by major source from watersheds draining to Washington waters of the Salish Sea, 2005 through 2020"},"predicate":"SUPERSEDED_BY","object":{"id":70274705,"text":"sir20265001 - 2026 - Simulated seasonal loads of total nitrogen and total phosphorus by major source from watersheds draining to Washington waters of the Salish Sea, 2005 through 2020","indexId":"sir20265001","publicationYear":"2026","noYear":false,"title":"Simulated seasonal loads of total nitrogen and total phosphorus by major source from watersheds draining to Washington waters of the Salish Sea, 2005 through 2020"},"id":1}],"supersededBy":{"id":70274705,"text":"sir20265001 - 2026 - Simulated seasonal loads of total nitrogen and total phosphorus by major source from watersheds draining to Washington waters of the Salish Sea, 2005 through 2020","indexId":"sir20265001","publicationYear":"2026","noYear":false,"title":"Simulated seasonal loads of total nitrogen and total phosphorus by major source from watersheds draining to Washington waters of the Salish Sea, 2005 through 2020"},"lastModifiedDate":"2026-04-08T14:00:49.054189","indexId":"70267521","displayToPublicDate":"2025-02-05T08:48:40","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19891,"text":"ESS Open Archive","active":true,"publicationSubtype":{"id":32}},"title":"Preprint: Simulated seasonal loads of total nitrogen and total phosphorus by major source from watersheds draining to Washington waters of the Salish Sea, 2005 through 2020","docAbstract":"The U.S. Geological Survey (USGS) and the Washington State Department of Ecology (Ecology) have developed watershed models of seasonal load estimates of total nitrogen (TN) and total phosphorus (TP) discharging into the Washington waters of the Salish Sea from 2005 through 2020. The modeling approach used was dynamic SPARROW (SPAtially Referenced Regressions On Watershed attributes), a statistical-physical watershed modeling technique, initially applied at large spatial scales to represent long-term average stream loads throughout a stream network, refined here to estimate seasonal TN and TP loads across watersheds to clarify upstream contributions from discernable point and nonpoint sources delivered to marine waters at surface water confluences along the shoreline and quantify when, where, and why they were high or low. Upstream contributing sources included permitted treated wastewater facilities, crop fertilizer, animal feeding operations, septic systems, urban land and stormwater, atmospheric deposition (TN only), nitrogen fixation by Red Alder Alnus rubra trees (TN only), and background geologic material (TP only). Instream load magnitudes and their source compositions varied widely across watersheds, and even within each watershed, yet the largest loads typically occurred in the large rivers during winter and fall when streamflow was highest. Likewise, instream loads were typically lowest in summer during low streamflow, yet the relative instream aquatic decay was highest. The seasonal storage lag component of those nonpoint sources was estimated to contribute a quarter of the seasonal instream load during winter and fall high streamflow and sometimes half of the instream load during summer low streamflow. A key aspect of Ecology’s current Puget Sound Nutrient Source Reduction Project is consideration of upstream watershed contributions of nutrients to their marine-water discharge points. Simulated seasonal loads carried by streams to 63 river mouth marine discharge points 9 ranged by several orders-of-magnitude for both TN and TP due to the spatial and seasonal differences in hydrologic flows, magnitude and timing of contributing sources, and in-stream decay. The Snohomish and Skagit Rivers discharged the largest TN and TP loads, yet the Samish River was shown to have some of the highest TN and TP yields and concentrations. Additionally, a reference scenario was developed to provide an estimate of the pre-industrial local and regional loads.
","language":"English","publisher":"ESS Open Archive","doi":"10.22541/essoar.173878059.92247480/v1","usgsCitation":"Schmadel, N., Figueroa-Kaminsky, C., Wise, D., Wasielewski, J., Johnson, Z., and Black, R.W., 2025, Preprint: Simulated seasonal loads of total nitrogen and total phosphorus by major source from watersheds draining to Washington waters of the Salish Sea, 2005 through 2020: ESS Open Archive, preprint posted February 05, 2025, https://doi.org/10.22541/essoar.173878059.92247480/v1.","productDescription":"110 p.","ipdsId":"IP-174989","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":486634,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Schmadel, Noah 0000-0002-2046-1694","orcid":"https://orcid.org/0000-0002-2046-1694","contributorId":219105,"corporation":false,"usgs":true,"family":"Schmadel","given":"Noah","email":"","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":938477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Figueroa-Kaminsky, Cristiana","contributorId":350514,"corporation":false,"usgs":false,"family":"Figueroa-Kaminsky","given":"Cristiana","affiliations":[{"id":25353,"text":"Washington State Department of Ecology","active":true,"usgs":false}],"preferred":false,"id":938478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wise, Daniel 0000-0002-1215-9612","orcid":"https://orcid.org/0000-0002-1215-9612","contributorId":217259,"corporation":false,"usgs":true,"family":"Wise","given":"Daniel","email":"","affiliations":[],"preferred":true,"id":938479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wasielewski, Jamie K. 0009-0005-7497-3344","orcid":"https://orcid.org/0009-0005-7497-3344","contributorId":344993,"corporation":false,"usgs":false,"family":"Wasielewski","given":"Jamie K.","affiliations":[{"id":82458,"text":"Washington Dept. of Ecology","active":true,"usgs":false}],"preferred":false,"id":938480,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Zachary 0000-0002-0149-5223 zjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-0149-5223","contributorId":190399,"corporation":false,"usgs":true,"family":"Johnson","given":"Zachary","email":"zjohnson@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":938481,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Black, Robert W. 0000-0002-4748-8213 rwblack@usgs.gov","orcid":"https://orcid.org/0000-0002-4748-8213","contributorId":1820,"corporation":false,"usgs":true,"family":"Black","given":"Robert","email":"rwblack@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938482,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70263262,"text":"ofr20241076 - 2025 - Continuous stream discharge, salinity, and associated data collected in the lower St. Johns River and its tributaries, Florida, 2022","interactions":[],"lastModifiedDate":"2025-07-21T18:11:15.378927","indexId":"ofr20241076","displayToPublicDate":"2025-02-04T14:11:40","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1076","displayTitle":"Continuous Stream Discharge, Salinity, and Associated Data Collected in the Lower St. Johns River and Its Tributaries, Florida, 2022","title":"Continuous stream discharge, salinity, and associated data collected in the lower St. Johns River and its tributaries, Florida, 2022","docAbstract":"The U.S. Army Corps of Engineers, Jacksonville District, deepened the St. Johns River channel in Jacksonville, Florida, to accommodate larger, fully loaded cargo vessels. The U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers, monitored stage, discharge, and (or) water temperature and salinity at 26 continuous data collection sites in the St. Johns River and its tributaries.
This report contains information collected during the 2022 water year, from October 2021 to September 2022. Data at each site were compared for the length of the project and on a yearly basis to show the annual variability of discharge and salinity.
The countywide annual rainfall for the 2022 water year was above the average yearly rainfall in four of the five counties. Annual mean discharge at 8 of the 10 tributary monitoring sites was lower for the 2022 water year than for the 2021 water year, and the annual mean flow at Broward River below Biscayne Boulevard near Jacksonville, Florida (USGS site number 02246751), was the lowest recorded at that site over the 7 years of data collection. The annual mean discharge for each of the main-stem sites was lower for the 2022 water year than for the 2021 water year.
Among the tributary sites, annual mean salinity was highest at Clapboard Creek above Buckhorn Bluff near Jacksonville, Fla. (USGS site number 302657081312400), the site closest to the Atlantic Ocean, and was lowest at Durbin Creek near Fruit Cove, Fla. (USGS site number 022462002), the site farthest from the ocean, for all years. Annual mean salinity data from the main-stem sites indicate that salinity decreased with distance upstream from the ocean, which was expected. Annual mean salinity at all monitoring locations was higher for the 2022 water year than the 2021 water year, except at St. Johns River at Buffalo Bluff near Satsuma, Fla. (USGS site number 02244040) and St. Johns River at Dancy Point near Spuds, Fla. (USGS site number 294213081345300), which remained the same. St. Johns River Shands Bridge near Green Cove Springs, Fla. (USGS site number 295856081372301) and Durbin Creek near Fruit Cove, Fla. (USGS site number 022462002) had the highest annual mean salinities at their respective sites since data collection began.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241076","issn":"2331-1258","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Carson, J.N., and Benacquisto, M.T., 2025, Continuous stream discharge, salinity, and associated data collected in the lower St. Johns River and its tributaries, Florida, 2022: U.S. Geological Survey Open-File Report 2024–1076, 51 p., https://doi.org/10.3133/ofr20241076.","productDescription":"Report: x, 51 p.; Data Release","numberOfPages":"66","onlineOnly":"Y","ipdsId":"IP-159934","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":492684,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118424.htm","linkFileType":{"id":5,"text":"html"}},{"id":481631,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS NWIS Data Release","linkHelpText":"- USGS water data for the Nation"},{"id":481630,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241076/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1076 HTML"},{"id":481628,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1076/ofr20241076.pdf","size":"6.82 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1076"},{"id":481626,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1076/coverthb.jpg"},{"id":481629,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1076/ofr20241076.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2024-1076 XML"},{"id":481627,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1076/images"}],"country":"United States","state":"Florida","otherGeospatial":"Lower St. Johns River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.07550333942321,\n 30.37984516308761\n ],\n [\n -82.07550333942321,\n 29.26001508937391\n ],\n [\n -81.32685861157174,\n 29.26001508937391\n ],\n [\n -81.32685861157174,\n 30.37984516308761\n ],\n [\n -82.07550333942321,\n 30.37984516308761\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559
Contact Us- USGS Publications Warehouse
","tableOfContents":"Our mapping efforts focused on the geomorphic terrains and geologic units contained within Mars Transverse Mercator (MTM) −15032 and −20032 quadrangles. These two quadrangles are located along the west side of Ladon basin and span lat −12.5° N. to −22.5° N. and long 325° E. to 330° E. The western part of Ladon basin and its bounding basin ring structures to the west preserved features that help to understand the long history of drainage across the Margaritifer Terra region of Mars. Our geologic map provides new insight into the extent of aqueous activity across western Ladon basin and the adjoining highlands, which includes the northern part of Ladon Valles, Arda Valles, numerous small valleys in the western highlands, and light-toned layered deposits associated with these fluvial features. The Mars Odyssey Thermal Emission Imaging System (THEMIS) infrared (IR) daytime mosaic (100 meters per pixel) was used as the primary base map. We constructed the geologic map of western Ladon basin at 1:1,000,000 scale. We identified 20 geologic units in the map area, which we divided into the following groups: crater units; volcanic units; chaotic units; basin fill units; crater, valley, and channel units; and plateau and highlands units.
We observed the following sequence of events: (1) formation of Ladon and Holden impact basins in the middle Noachian, producing a mountainous unit; (2) landscape degradation and infilling during the Late Noachian to Late Hesperian forming terra units; (3) formation of Ladon Valles in the Late Noachian to Early Hesperian by catastrophic flooding, producing channel units; (4) accumulation of sediments in the Late Noachian to Early Amazonian, forming basin fill units; (5) formation of a smooth crater fill unit during the Early to Late Hesperian; (6) deposition during the Late Hesperian to Early Amazonian, creating light-toned layered units within Ladon Valles, Ladon basin, and other smaller valley networks along the western uplands, as well as formation of a light-toned unit along some crater floors; (7) formation a of chaotic unit in the Early to Middle Amazonian, formation of alluvial fans in the Early Amazonian, and eruption of a volcanic unit in the Middle Amazonian; and (8) formation of craters throughout the geologic history of the map region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3525","collaboration":"Prepared for the National Aeronautics and Space Administration","usgsCitation":"Weitz, C.M., Wilson, S.A., Grant, J.A., and Irwin, R.P., III, 2025, Geologic map of MTM −15032 and −20032 quadrangles, western Ladon basin, Mars: U.S. Geological Survey Scientific Investigations Map 3525, pamphlet 14 p., 1 sheet, scale 1:1,000,000, https://doi.org/10.3133/sim3525.","productDescription":"Pamphlet: iv, 14 p.; 1 Sheet: 37.02 x 40.03 inches; Read Me: Metadata: Spatial Data","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-122937","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":481991,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96KRTGK","text":"USGS data release","linkHelpText":"Interactive Map: USGS SIM 3525 Geologic Map of Ladon Basin, Mars"},{"id":481673,"rank":7,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3525/sim3525_SupplementalData.zip","text":"Supplemental Data","size":"605 MB","linkFileType":{"id":6,"text":"zip"}},{"id":481163,"rank":6,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3525/sim3525_LadonBasin_GIS.zip","text":"GIS data","size":"47 MB","linkFileType":{"id":6,"text":"zip"}},{"id":481162,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3525/sim3525_metadata.xml","size":"10 KB","linkFileType":{"id":8,"text":"xml"}},{"id":481158,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3525/covrthb.jpg"},{"id":481161,"rank":5,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3525/sim3525_readme.txt","size":"10 KB","linkFileType":{"id":2,"text":"txt"}},{"id":481159,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3525/sim3525_pamphlet.pdf","text":"Pamphlet","size":"1 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":481160,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3525/sim3525_sheet.pdf","text":"Sheet","size":"11 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Geologic Map of MTM –15032 and –20032 Quadrangles, Western Ladon Basin, Mars"}],"otherGeospatial":"Mars","contact":"Astrogeology Science Center
U.S. Geological Survey
2255 N. Gemini Dr.
Flagstaff, AZ 86001
Illustration of U.S. Geological Survey science at breccia pipe mines in the Grand Canyon region. The upper left portion shows a cross section of a breccia pipe and rock layers (far upper left) in a panoramic view of the Grand Canyon with upper right depicting rock pinnacles the Havasupai Tribe call Wi’i Gileeva. The right portion depicts a spring. The Colorado River bisects the illustration. A typical breccia pipe uranium mine site is shown in the lower left. Local plant and animal species studied are also included.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip249","usgsCitation":"Siebers, B.J., 2025, Uranium mining, the Grand Canyon region, and the science of an ecosystem: U.S. Geological Survey General Information Product 249, https://doi.org/10.3133/gip249.","productDescription":"1 p.","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-171589","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":481651,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20243003","text":"USGS Fact Sheet 2024–3003","linkHelpText":"- Balancing natural resource use and extraction of uranium and other elements in the Grand Canyon region"},{"id":481618,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/249/coverthb.jpg"},{"id":492682,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118423.htm","linkFileType":{"id":5,"text":"html"}},{"id":481619,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/249/gip249.pdf","text":"Report","size":"7.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 249"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.32256082421961,\n 36.96787079826102\n ],\n [\n -114.04321695572075,\n 36.96787079826102\n ],\n [\n -114.04321695572075,\n 35.68382789858792\n ],\n [\n -111.32256082421961,\n 35.68382789858792\n ],\n [\n -111.32256082421961,\n 36.96787079826102\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Natural Hazards Mission Area
U.S. Geological Survey
12201 Sunrise Valley Dr.
Reston, VA 20192
As part of a long-term cooperative program to monitor water quality within the Scituate Reservoir drainage area, the U.S. Geological Survey, in cooperation with Providence Water (formerly the Providence Water Supply Board), collected streamflow and water-quality data in tributaries to the Scituate Reservoir, Rhode Island. Streamflow and concentrations of chloride and sodium estimated from records of specific conductance for 16 tributaries were used to calculate loads of chloride and sodium during water year 2022 (October 1, 2021, through September 30, 2022). Water-quality samples were collected by Providence Water at 37 sampling stations on tributaries to the Scituate Reservoir during water year 2022. These water-quality data are summarized by using values of central tendency and are used, in combination with measured (or estimated) streamflows, to calculate loads and yields of selected water-quality constituents for water year 2022.
Annual mean streamflows for monitoring stations in this study ranged from about 0.31 to 28.0 cubic feet per second during water year 2022. At the 16 continuous-record streamgages, tributaries transported about 2,600 metric tons of chloride and 1,600 metric tons of sodium to the Scituate Reservoir; annual chloride yields for the tributaries ranged from 15 to 100 metric tons per square mile, and annual sodium yields ranged from 10 to 59 metric tons per square mile. At the stations where water-quality samples were collected by Providence Water, the medians of the median daily loads were 55,000 million colony forming units per day for coliform bacteria, 1,300 million colony forming units per day for Escherichia coli, 230 kilograms per day for chloride, 11 grams per day as nitrogen for nitrite, 620 grams per day as nitrogen for nitrate, and 440 grams per day as orthophosphate for phosphate, The medians of the median yields were 25,000 million colony forming units per day per square mile for coliform bacteria, 810 million colony forming units per day per square mile for Escherichia coli, 110 kilograms per day per square mile for chloride, 5.1 grams per day per square mile as nitrogen for nitrite, less than 300 grams per day per square mile as nitrogen for nitrate, and 230 grams per day per square mile as orthophosphate for phosphate.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1205","collaboration":"Prepared in cooperation with Providence Water","usgsCitation":"Smith, K.P., and Spaetzel, A.B., 2025, Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2022: U.S. Geological Survey Data Report 1205, 33 p., https://doi.org/10.3133/dr1205.","productDescription":"Report: vi, 33 p.; Data Release","numberOfPages":"33","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-168044","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":492680,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118425.htm","linkFileType":{"id":5,"text":"html"}},{"id":481543,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WK8N0F","text":"USGS data release","linkHelpText":"Water-quality data from the Providence Water Supply Board for tributary streams to the Scituate Reservoir (ver. 3.0, November 2023)"},{"id":481542,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1205/images/"},{"id":481539,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1205/dr1205.pdf","text":"Report","size":"3.52 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1205 PDF"},{"id":481461,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1205/coverthb.jpg"},{"id":481541,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1205/dr1205.XML","linkFileType":{"id":8,"text":"xml"},"description":"DR 1205 XML"},{"id":481540,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1205/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"DR 1205 HTML"}],"country":"United States","state":"Rhode Island","otherGeospatial":"Scituate Reservoir Drainage Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.74828321234178,\n 41.88241813157933\n ],\n [\n -71.74828321234178,\n 41.72949318006701\n ],\n [\n -71.53726504656385,\n 41.72949318006701\n ],\n [\n -71.53726504656385,\n 41.88241813157933\n ],\n [\n -71.74828321234178,\n 41.88241813157933\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
The U.S. Geological Survey, in cooperation with Providence Water (formerly Providence Water Supply Board), conducted a long-term program to monitor water quality in the Scituate Reservoir drainage area in Rhode Island to collect streamflow and water-quality data from 16 tributaries to the reservoir during the water year 2022. These data were used to estimate loads of chloride and sodium. Additionally, water-quality samples were collected at 37 sampling stations on the tributaries, and the data were summarized using central tendency values.
Aechmophorus occidentalis (Western Grebe) are colonial nesting waterbirds that have experienced population declines. We located and monitored 709 grebe nests using a drone within Lake Cascade, the largest grebe breeding colony in Idaho. We conducted 6 flights between June 20, 2018 and July 11, 2018 and used the photographs from each flight to create an orthomosaic image that we then digitized and georeferenced. The resolution of the images allowed for visualization of each nest, nest contents, and adult grebes on each flight. Using the georeferenced images, we created nest histories and estimated nest fate for the 709 grebe nests. We also collected data on the following covariates to assess whether any of them affected nest survival: distance of the nest to the center of the colony; distance of the nest to the edge of the colony; distance of the nest to deep water habitat; water depth at the nest; nearest neighbor distance, and an aggregation index (mean distance to the 5 nearest nests). The orthomosaics from repeated drone flights allowed us to estimate nesting success without disturbing the colony; 51.2% of nests survived until hatching. The daily survival probability of grebe nests was positively correlated with the aggregation index and water depth at the nest (albeit only slightly). Daily survival probabilities were negatively correlated with distance between the nest and the colony center and distance to deep water (i.e., foraging habitat). The results of this study can be used to inform conservation efforts by identifying areas of the Lake Cascade grebe colony that are most vulnerable to nest failures and formulating explicit management actions that could be implemented to increase nest survival such as changes in timing of water drawdowns and habitat management to ensure habitat suitable for grebe nesting is in close proximity to deep water foraging areas. Moreover, grebes are not the only waterbird that makes use of managed reservoirs; other waterbirds may benefit from the findings of this study to implement more informed management practices.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duaf011","usgsCitation":"Lachman, D.A., Conway, C.J., Vierling, K.T., and Matthews, T., 2025, Water depth, position within the nesting colony, and nearest neighbor density affect nest survival in Aechmophorus occidentalis (Western Grebe): Ornithological Applications, v. 127, no. 3, duaf011, https://doi.org/10.1093/ornithapp/duaf011.","productDescription":"duaf011","ipdsId":"IP-167752","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":496906,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Lake Cascade","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.22230762170753,\n 44.76352823654196\n ],\n [\n -116.22230762170753,\n 44.46219778864179\n ],\n [\n -115.98703112617977,\n 44.46219778864179\n ],\n [\n -115.98703112617977,\n 44.76352823654196\n ],\n [\n -116.22230762170753,\n 44.76352823654196\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"127","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Lachman, Deo A.","contributorId":338149,"corporation":false,"usgs":false,"family":"Lachman","given":"Deo","email":"","middleInitial":"A.","affiliations":[{"id":81087,"text":"University of Idaho, Department of Fish and Wildlife Sciences","active":true,"usgs":false}],"preferred":false,"id":943610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":943611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vierling, Kerri T.","contributorId":338150,"corporation":false,"usgs":false,"family":"Vierling","given":"Kerri","email":"","middleInitial":"T.","affiliations":[{"id":81087,"text":"University of Idaho, Department of Fish and Wildlife Sciences","active":true,"usgs":false}],"preferred":false,"id":943612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matthews, Ty","contributorId":280032,"corporation":false,"usgs":false,"family":"Matthews","given":"Ty","affiliations":[{"id":37461,"text":"fws","active":true,"usgs":false}],"preferred":false,"id":943613,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70263512,"text":"70263512 - 2025 - Video evidence of a Red-eared Slider (Trachemys scripta elegans) preying upon a live Mallard (Anas platyrhynchos) duckling in Louisiana","interactions":[],"lastModifiedDate":"2025-02-13T15:44:54.229252","indexId":"70263512","displayToPublicDate":"2025-02-03T09:32:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Video evidence of a Red-eared Slider (Trachemys scripta elegans) preying upon a live Mallard (Anas platyrhynchos) duckling in Louisiana","title":"Video evidence of a Red-eared Slider (Trachemys scripta elegans) preying upon a live Mallard (Anas platyrhynchos) duckling in Louisiana","docAbstract":"Most animal matter in the diet of the omnivorous Trachemys scripta (Pond Slider) consists of invertebrate prey items such as insects, crustaceans, and mollusks, but often also includes fish and amphibians. Reptiles, birds, and mammals are less commonly reported, and even when found, it is usually unknown if they were captured alive, as Pond Sliders will certainly scavenge dead animals. Though it is well known that Chelydra serpentina (Snapping Turtle) will prey upon waterfowl from the water surface, reports of such encounters are seemingly rare in Pond Sliders. Here, we document with video evidence an adult female T. s. elegans (Red-eared Slider) emerging from the water to successfully take and drown an Anas platyrhynchos (Mallard) duckling.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.023.0417","usgsCitation":"Glorioso, B., Landry, A., and Mandill, G., 2025, Video evidence of a Red-eared Slider (Trachemys scripta elegans) preying upon a live Mallard (Anas platyrhynchos) duckling in Louisiana: Southeastern Naturalist, v. 23, no. 4, p. N90-N93, https://doi.org/10.1656/058.023.0417.","productDescription":"4 p.","startPage":"N90","endPage":"N93","ipdsId":"IP-169171","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":482029,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","city":"Mandeville","volume":"23","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Glorioso, Brad 0000-0002-5400-7414","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":204397,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":927242,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landry, Alex","contributorId":350905,"corporation":false,"usgs":false,"family":"Landry","given":"Alex","affiliations":[{"id":83872,"text":"Canoe and Trail Adventures","active":true,"usgs":false}],"preferred":false,"id":927243,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mandill, Gabrielle","contributorId":350906,"corporation":false,"usgs":false,"family":"Mandill","given":"Gabrielle","affiliations":[],"preferred":false,"id":927244,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70265026,"text":"70265026 - 2025 - Snapshots of mid-to-late Holocene sea-surface temperature variability from a subtropical western Atlantic coral reef","interactions":[],"lastModifiedDate":"2025-03-31T14:16:41.461574","indexId":"70265026","displayToPublicDate":"2025-02-03T09:11:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Snapshots of mid-to-late Holocene sea-surface temperature variability from a subtropical western Atlantic coral reef","docAbstract":"Large-scale Holocene climate reconstructions rely heavily on extratropical proxy records. Coral-based temperature reconstructions from the tropical and subtropical oceans therefore fill a critical spatial and temporal data gap, allowing for reconstruction of seasonally resolved temperature variability. We present five new, monthly-resolved sea-surface temperature (SST) reconstructions (between 39 and 57 years in length) from 2 to 7 thousand years ago (ka) based on the strontium-to‑calcium ratio (Sr/Ca) of Orbicella faveolata corals from subtropical reefs in south Florida. Modern calibrations between O. faveolata Sr/Ca and in situ SST from the region allow us to directly compare the mean and variability of SSTs since the mid-Holocene. In contrast to the low climate variability observed in more tropical areas of the western Atlantic during the Holocene, our records from subtropical south Florida exhibit pronounced changes in mean SST and variability. Our records suggest that mid-Holocene SSTs in the Florida Keys were highly variable, with relatively cooler winters driving a cooler mean SST at ∼6.7 ka (23.7 ± 0.6°C at 6.7 ka and 25.0 ± 0.5°C at 6.6 ka), and relatively warmer summers and more variable temperatures by 5.8 ka (27.1 ± 0.4°C, seasonality of 8.7°C). We also analyzed stable oxygen isotopes in two of our corals and those data support our Sr/Ca-based estimate of climatic warming between 6.6 ka and 5.8 ka (−3.6‰ and − 3.9‰). Both winter and summer temperatures were significantly cooler than the other mid-to-late Holocene snapshots at 3.6 ka (21.2 ± 0.5°C) and SST warmed but remained highly variable at 2.6 ka (25.0 ± 0.6°C, seasonality of 7.9°C). These centennial-scale changes in climate variability potentially contributed to the regional shutdown of reef accretion by the late Holocene. Our reconstructions provide a proof-of-concept study that highlights the value of coral-based SST records from highly sensitive, subtropical locations for understanding Holocene climate on seasonal to centennial timescales.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2025.112777","usgsCitation":"Jacobs, J.A., Richey, J.N., Flannery, J., Thiumalai, K., and Toth, L., 2025, Snapshots of mid-to-late Holocene sea-surface temperature variability from a subtropical western Atlantic coral reef: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 663, 112777, 13 p., https://doi.org/10.1016/j.palaeo.2025.112777.","productDescription":"112777, 13 p.","ipdsId":"IP-166418","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488920,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.palaeo.2025.112777","text":"Publisher Index Page"},{"id":484015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Dry Tortugas National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.74479831836513,\n 24.744714178430996\n ],\n [\n -83.00110001597643,\n 24.744714178430996\n ],\n [\n -83.00110001597643,\n 24.55302673998355\n ],\n [\n -82.74479831836513,\n 24.55302673998355\n ],\n [\n -82.74479831836513,\n 24.744714178430996\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"663","noUsgsAuthors":false,"publicationDate":"2025-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Jacobs, Jessica A. 0000-0001-5611-2093","orcid":"https://orcid.org/0000-0001-5611-2093","contributorId":333551,"corporation":false,"usgs":true,"family":"Jacobs","given":"Jessica","email":"","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":932342,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richey, Julie N. 0000-0002-2319-7980 jrichey@usgs.gov","orcid":"https://orcid.org/0000-0002-2319-7980","contributorId":174046,"corporation":false,"usgs":true,"family":"Richey","given":"Julie","email":"jrichey@usgs.gov","middleInitial":"N.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":932343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flannery, Jennifer A. 0000-0002-1692-2662","orcid":"https://orcid.org/0000-0002-1692-2662","contributorId":350413,"corporation":false,"usgs":false,"family":"Flannery","given":"Jennifer A.","affiliations":[{"id":37487,"text":"formerly USGS","active":true,"usgs":false}],"preferred":false,"id":932344,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thiumalai, Kaustubh 0000-0002-7875-4182","orcid":"https://orcid.org/0000-0002-7875-4182","contributorId":264344,"corporation":false,"usgs":false,"family":"Thiumalai","given":"Kaustubh","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":932345,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":932346,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70263302,"text":"70263302 - 2025 - Bait trapping of waterfowl increases the environmental contamination of avian influenza virus (AIV)","interactions":[],"lastModifiedDate":"2025-03-25T15:54:44.911751","indexId":"70263302","displayToPublicDate":"2025-02-03T08:58:30","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Bait trapping of waterfowl increases the environmental contamination of avian influenza virus (AIV)","docAbstract":"Highly pathogenic avian influenza virus (HPAIV) H5Nx clade 2.3.4.4b has circulated in North America since late 2021, resulting in higher rates of morbidity and mortality in wild birds than observed in this region before. The objective of this study was to determine whether baiting, which is widely conducted in Canada and the United States as part of waterfowl management practices (e.g., duck banding), influences the occurrence of avian influenza virus (AIV) in wetlands. We used a quasi-experimental design, collecting superficial sediment samples (n = 336) and fecal samples (n = 242) from paired baited (treatment) and non-baited (control) sites at 2 wetlands in Saskatchewan, Canada, between August and September 2022. We visited sampling sites 3 times during the sampling period: prior to the commencement of baiting activities (t0), approximately 14 days after t0 (t1), and 24 days after t0 (t2). We screened samples for AIV using real-time reverse-transcriptase polymerase chain reaction (rRT-PCR) targeting the matrix gene and subjected the PCR-positive samples to next-generation sequencing. We used a mixed-effects logistic regression model to estimate the effect of baiting on the odds of AIV positivity in sediment samples, while controlling for clustering by wetland. At control sites, we did not detect evidence for a difference in the odds of AIV detection in sediment at t1 or t2 versus t0; however, at baited sites, the odds of AIV detection at t1 were 5.43 (95% CI = 1.99, 14.79) times the odds at t0 and at t2 the odds of AIV detection were 8.73 (95% CI = 3.29, 23.18) times the odds at t0. We detected HPAIV clade 2.3.4.4b H5N1 in sediment at 1 treatment site following baiting. There was also a trend towards increased fecal AIV positivity and increased fecal and sediment AIV diversity in baited versus non-baited sites; however, there was insufficient power to determine if these findings were statistically significant. Overall, our results indicate that baiting is associated with localized increases in AIV environmental contamination, with baiting potentially creating concentrated areas of AIV accumulation. As such, wetland baiting activities may pose a risk to wildlife population health through the propagation of AIV in wetlands and the waterfowl using those environments and efforts to replace, refine, or reduce this activity may be warranted depending on local ecosystem contexts and cost-benefit analyses.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22720","usgsCitation":"Andrew, C., McPhee, L., Kuchinski, K., Wight, J., Rahman, I., Mansour, S., Angelo Cortez, G., Kalhor, M., Kenmuir, E., Prystajecky, N., Hargan, K., Lang, A., Leafloor, J., Soos, C., Ramey, A.M., and Himsworth, C., 2025, Bait trapping of waterfowl increases the environmental contamination of avian influenza virus (AIV): Journal of Wildlife Management, v. 89, no. 3, e22720, 15 p., https://doi.org/10.1002/jwmg.22720.","productDescription":"e22720, 15 p.","ipdsId":"IP-165980","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":487623,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22720","text":"Publisher Index 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Disease Control Public Health Laboratory","active":true,"usgs":false}],"preferred":false,"id":926234,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Prystajecky, Natalie","contributorId":350531,"corporation":false,"usgs":false,"family":"Prystajecky","given":"Natalie","affiliations":[{"id":83760,"text":"British Columbia Center for Disease Control Public Health Laboratory","active":true,"usgs":false}],"preferred":false,"id":926235,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hargan, Kathryn","contributorId":205716,"corporation":false,"usgs":false,"family":"Hargan","given":"Kathryn","email":"","affiliations":[{"id":36943,"text":"Queens University","active":true,"usgs":false}],"preferred":false,"id":926236,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lang, 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watershed","interactions":[],"lastModifiedDate":"2025-02-11T15:50:56.369579","indexId":"70263305","displayToPublicDate":"2025-02-03T07:53:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Concentration-discharge relations and transient metal loads reveal spatiotemporal variability in solute-generation mechanisms in a mine-affected watershed","docAbstract":"Concentration-discharge (CQ) relations are commonly used to understand geochemical and hydrologic controls on the generation of solutes in watersheds. Despite the widespread application of CQ relations, this technique has been infrequently applied to acid mine drainage (AMD) sites, but the CQ framework may allow mechanistic understanding of remedial outcomes such as impoundment of water within underground mines. Results of CQ analyses and changes in metal loads in an AMD affected watershed in Colorado, USA indicate that dissolved loads increased at many individual locations following water impoundment within mine workings. Although increased loads were observed at most individual locations, these increases were offset by a large decrease in loading from the largest mine. A loading analysis that included data from an instream monitoring location showed a statistically significant decrease in Fe and Zn after bulkhead emplacement, indicating a net positive effect of bulkheads. Streams generally displayed dilution CQ patterns whereas mines and springs showed either flushing or chemostatic patterns prior to bulkheading, which transitioned to chemostatic patterns following bulkheading, indicating a transition from dynamic to equilibrium geochemical processes. Saturation indices for sulfide and secondary minerals indicated that mines and springs were near equilibrium for phases including schwertmannite, fluorite, and gypsum. Saturation indices vary through time for mines suggesting progressive leaching of sulfide minerals as the mass of available minerals in the mine workings decreases. Together, these diverse analyses provide an integrated understanding of the variability in solute generating processes in this watershed and may inform remediation plans for similarly affected sites by indicating the nature of mineralogic controls on water quality.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jconhyd.2025.104513","usgsCitation":"Newman, C.P., Navarre-Sitchler, A., Runkel, R.L., and Cowie, R.M., 2025, Concentration-discharge relations and transient metal loads reveal spatiotemporal variability in solute-generation mechanisms in a mine-affected watershed: Journal of Contaminant Hydrology, v. 269, 104513, 19 p., https://doi.org/10.1016/j.jconhyd.2025.104513.","productDescription":"104513, 19 p.","ipdsId":"IP-159009","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":489934,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index 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\"}}]}","volume":"269","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Newman, Connor P. 0000-0002-6978-3440","orcid":"https://orcid.org/0000-0002-6978-3440","contributorId":222596,"corporation":false,"usgs":true,"family":"Newman","given":"Connor","email":"","middleInitial":"P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":926259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Navarre-Sitchler, Alexis","contributorId":190441,"corporation":false,"usgs":false,"family":"Navarre-Sitchler","given":"Alexis","email":"","affiliations":[],"preferred":false,"id":926260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":926261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cowie, Rory M.","contributorId":270098,"corporation":false,"usgs":false,"family":"Cowie","given":"Rory","email":"","middleInitial":"M.","affiliations":[{"id":56077,"text":"Alpine Water Resources","active":true,"usgs":false}],"preferred":false,"id":926262,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70263586,"text":"70263586 - 2025 - Waterfront property owners' shoreline preferences amid salt marsh to mangrove transitions","interactions":[],"lastModifiedDate":"2025-03-11T15:18:25.574964","indexId":"70263586","displayToPublicDate":"2025-02-03T07:44:43","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5936,"text":"People and Nature","active":true,"publicationSubtype":{"id":10}},"title":"Waterfront property owners' shoreline preferences amid salt marsh to mangrove transitions","docAbstract":"1. We examined the influence of mangrove encroachment into salt marsh areas along the northern Gulf of Mexico (USA) on waterfront property owners' perceptions of coastal health and preferences for shoreline management.
2. Using mail-in and online surveys, we targeted over 3000 waterfront property owners across four jurisdictions experiencing or anticipating mangrove encroachment.
3. Our findings revealed a nuanced perception of coastal health, with many respondents recognizing the potentially environmental impacts of mangrove encroachment but favouring low-cost management strategies, such as maintaining current shoreline or passive monitoring. This reluctance to engage in active management highlights a perception-behaviour gap, likely influenced by the gradual nature of mangrove transitions, which diminishes urgency for active intervention.
4. Socio-demographic factors such as age, gender, income, residency and reliance on coastal resources significantly shaped preferences for shoreline management and regional responses. These preferences varied across jurisdictions, reflecting the importance of incorporating localized community values into management decisions.
5. Our findings highlight the need for a balanced approach to shoreline management that integrates ecological insights with the socio-cultural priorities of local communities. By aligning adaptation strategies with regional perceptions and values, it is possible to protect individual properties while enhancing the long-term resilience of coastal ecosystems under climate change pressures.
","language":"English","publisher":"British Ecological Society","doi":"10.1002/pan3.10794","usgsCitation":"Alemu I, J., Hughes, A.R., Osland, M., Swinea, S.H., Thorne, K., Bardou, R., Shepard, C., and Scyphers, S.B., 2025, Waterfront property owners' shoreline preferences amid salt marsh to mangrove transitions: People and Nature, v. 7, no. 3, p. 668-683, https://doi.org/10.1002/pan3.10794.","productDescription":"16 p.","startPage":"668","endPage":"683","ipdsId":"IP-167130","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":489163,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/pan3.10794","text":"Publisher Index Page"},{"id":482100,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Texas","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97.26808673148014,\n 27.75411233262814\n ],\n [\n -82.74118539743608,\n 28.811332890450416\n ],\n [\n -83.26551205980495,\n 29.65065304337338\n ],\n [\n -90.02822951994222,\n 29.060927775456975\n ],\n [\n -92.38766407294271,\n 29.062641375687207\n ],\n [\n -94.33851383154641,\n 29.858584794887065\n ],\n [\n -97.26808673148014,\n 27.75411233262814\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"7","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Alemu I, Jahson B.","contributorId":343615,"corporation":false,"usgs":false,"family":"Alemu I","given":"Jahson B.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":927442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hughes, A. 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It remains a minor and largely undeveloped unconventional shale oil play with production from the TMS confined along the east-west LA-MS State boundary (Fig. 1). The mean undiscovered, technically recoverable resources in the TMS are estimated at 1.5 billion barrels of oil and 4.6 trillion cubic feet of gas (Hackley et al., 2018). Geochemical analyses of source rock solvent extracts and oil samples indicate that, in the play area, the TMS is the primary source of shale oil produced from the TMS as well as of accumulated oils in the underlying conventional reservoirs of the lower Tuscaloosa (Hackley et al., 2020). The API gravity of TMS oils ranges from approximately 34 to 46 degrees (Hackley et al., 2020; Croke et al., 2020).
","language":"English","publisher":"AAPG Energy and Minerals Division Tight Oil and Gas Committee","doi":"10.13140/RG.2.2.29579.40488","collaboration":"American Association of Petroleum Geologists","usgsCitation":"Lohr, C., 2025, AAPG Energy and Minerals Division Tight Oil and Gas Committee Activities and Commodity Report for 2021-2022: Tuscaloosa Marine Shale, Gulf Coast basin, Louisiana and Mississippi: AAPG Wiki, https://doi.org/10.13140/RG.2.2.29579.40488.","productDescription":"8 p.","ipdsId":"IP-176031","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":489572,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lohr, Celeste D. 0000-0001-6287-9047 clohr@usgs.gov","orcid":"https://orcid.org/0000-0001-6287-9047","contributorId":3866,"corporation":false,"usgs":true,"family":"Lohr","given":"Celeste D.","email":"clohr@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":928151,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70263607,"text":"70263607 - 2025 - Development of ‘SedCam’— A close-range remote sensing method of estimating suspended-sediment concentration in small rivers","interactions":[],"lastModifiedDate":"2025-02-24T16:59:51.078508","indexId":"70263607","displayToPublicDate":"2025-02-01T09:18:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Development of ‘SedCam’— A close-range remote sensing method of estimating suspended-sediment concentration in small rivers","docAbstract":"The adaptation of suspended-sediment surrogate technologies continues to rapidly expand across geomorphology and fluvial sediment monitoring efforts. Over a decade of research and development shows increased reliability and accuracy of in-situ surrogates with reduced program cost as compared to traditional sample-based methods, but environmental fouling and probe damage can be problematic. The SedCam technique is a unique non-contact close-range remote sensing method to estimate suspended-sediment concentration from multispectral imagery of a river surface. In contrast to typical airborne- or satellite-based platforms, SedCam uses broadband sensors with lower spectral resolution (three bands covering wavelengths of 340 to 1100 nm) but greater spatial resolution (0.5 mm pixel size; equivalent to medium to coarse sand) and temporal resolution (15-min intervals during daylight hours). This paper summarizes lessons learned from two studies, utilizing three consumer-grade digital cameras (each with different spectral signatures) at two different rivers (each with different sediment characteristics). >90,000 images and 174 concurrent physical samples represent a collective period of 26 months. A subset of these data pairs supports the development of four regression models. Statistical diagnostics show model error can be <40 % when surface point samples are used, with coefficients of determination ≥0.90. This novel approach shows similar accuracy to other surrogate methods such as instream turbidity. Results of this study indicate that optimizing spectra based on expected suspended-sediment concentration increases model performance.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2025.109642","usgsCitation":"Mosbrucker, A.R., and Wood, M.S., 2025, Development of ‘SedCam’— A close-range remote sensing method of estimating suspended-sediment concentration in small rivers: Geomorphology, v. 476, 109642, 8 p., https://doi.org/10.1016/j.geomorph.2025.109642.","productDescription":"109642, 8 p.","ipdsId":"IP-146303","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":489813,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2025.109642","text":"Publisher Index Page"},{"id":482155,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"476","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mosbrucker, Adam R. 0000-0003-0298-0324 amosbrucker@usgs.gov","orcid":"https://orcid.org/0000-0003-0298-0324","contributorId":4968,"corporation":false,"usgs":true,"family":"Mosbrucker","given":"Adam","email":"amosbrucker@usgs.gov","middleInitial":"R.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":927555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Molly S. 0000-0002-5184-8306 mswood@usgs.gov","orcid":"https://orcid.org/0000-0002-5184-8306","contributorId":788,"corporation":false,"usgs":true,"family":"Wood","given":"Molly","email":"mswood@usgs.gov","middleInitial":"S.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":927556,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70264319,"text":"70264319 - 2025 - Assessing risk for enhanced cyanobacteria, phytoplankton, and pathogens with changes in water level regime with potential application to Lake Powell and Lake Mead: A mixed methods literature review","interactions":[],"lastModifiedDate":"2025-03-11T14:14:55.09397","indexId":"70264319","displayToPublicDate":"2025-02-01T09:07:59","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":18517,"text":"Science Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SR—2025/226","title":"Assessing risk for enhanced cyanobacteria, phytoplankton, and pathogens with changes in water level regime with potential application to Lake Powell and Lake Mead: A mixed methods literature review","docAbstract":"Water levels in freshwater reservoirs worldwide are changing due to altered climate, management practices, and increasing human demand for water. In the desert southwestern USA, managers are considering significant changes to reservoir operation strategies and water management in response to consumptive use and ongoing drought. To inform reservoir management decision-making, we reviewed current peer-reviewed literature to identify the effects of decreasing or increasing water level on phytoplankton, cyanobacteria, Escherichia coli, and Naegleria spp. We identified 34 studies containing 42 individual waterbodies that investigated the effects of water level increases or decreases on phytoplankton or cyanobacteria. We found that water level decreases resulted in a higher likelihood of increased cyanobacteria, and that phytoplankton were more likely to decrease in response to water level increases. Most of the waterbodies included in the literature review were eutrophic or hypereutrophic, underscoring the need to explore the effects of water level fluctuations on oligotrophic systems. We only identified five studies on E. coli through our review, and no studies on Naegleria spp. We supplemented our review with regional white papers and case studies within the Colorado River Basin and the Rio Grande River Basin to highlight relevant research. Prior and ongoing research highlights the need to explore impacts of water level fluctuations on phytoplankton and cyanobacteria to guide future management decision-making.
","language":"English","publisher":"National Park Service","doi":"10.36967/2307521","usgsCitation":"Hoffman, K., Deemer, B., Lofton, M., Gibney, N., and Carey, C.C., 2025, Assessing risk for enhanced cyanobacteria, phytoplankton, and pathogens with changes in water level regime with potential application to Lake Powell and Lake Mead: A mixed methods literature review: Science Report NPS/SR—2025/226, x, 45 p., https://doi.org/10.36967/2307521.","productDescription":"x, 45 p.","ipdsId":"IP-168233","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":483194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Utah, Nevada","otherGeospatial":"Lake Mead, Lake Powell","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.11590394276709,\n 36.47443969347299\n ],\n [\n -114.88244481510833,\n 36.47443969347299\n ],\n [\n -114.88244481510833,\n 35.99494943781363\n ],\n [\n -114.11590394276709,\n 35.99494943781363\n ],\n [\n -114.11590394276709,\n 36.47443969347299\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.59687083652533,\n 37.60781795511896\n ],\n [\n -111.57399303193428,\n 37.60781795511896\n ],\n [\n -111.57399303193428,\n 36.950938288353015\n ],\n [\n -110.59687083652533,\n 36.950938288353015\n ],\n [\n -110.59687083652533,\n 37.60781795511896\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hoffman, Kathryn K. 0000-0002-2063-8269","orcid":"https://orcid.org/0000-0002-2063-8269","contributorId":352237,"corporation":false,"usgs":false,"family":"Hoffman","given":"Kathryn K.","affiliations":[{"id":84138,"text":"Virginia Tech, Biological Sciences, Street Address, Blacksburg, VA 24061","active":true,"usgs":false}],"preferred":false,"id":930417,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deemer, Bridget R. 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":198160,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":930418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lofton, Mary E.","contributorId":352238,"corporation":false,"usgs":false,"family":"Lofton","given":"Mary E.","affiliations":[{"id":84138,"text":"Virginia Tech, Biological Sciences, Street Address, Blacksburg, VA 24061","active":true,"usgs":false}],"preferred":false,"id":930419,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gibney, Nicole D.","contributorId":352239,"corporation":false,"usgs":false,"family":"Gibney","given":"Nicole D.","affiliations":[{"id":84139,"text":"National Park Service, Regions 6, 7, and 8- Intermountain, Resource Stewardship and Science, One Denver Federal Center, Building 50, Denver, CO 80225","active":true,"usgs":false}],"preferred":false,"id":930420,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carey, Cayelan C.","contributorId":130969,"corporation":false,"usgs":false,"family":"Carey","given":"Cayelan","email":"","middleInitial":"C.","affiliations":[{"id":7185,"text":"Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA","active":true,"usgs":false}],"preferred":false,"id":930421,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70262805,"text":"70262805 - 2025 - Determining the effects of reduced water availability on seed germination of five bottomland hardwood tree species","interactions":[],"lastModifiedDate":"2025-01-23T16:00:41.372934","indexId":"70262805","displayToPublicDate":"2025-02-01T08:56:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Determining the effects of reduced water availability on seed germination of five bottomland hardwood tree species","docAbstract":"Globally, floodplain forests are experiencing shifts in species composition associated with drier conditions and disruptions of flood pulse hydrology. The specific processes behind these shifts in composition are not fully understood, but differential effects of drought on regeneration processes such as seed germination may be partially responsible. To determine how reduced water availability impacts seed germination of different floodplain tree species, a lab-controlled germination experiment was conducted. Seeds from tree species common to floodplain forests of the southeastern and southcentral United States whose abundance have been altered by drier hydrogeomorphic conditions were examined. These seeds included desiccation resistant, or orthodox, seeds of sugarberry (Celtis laevigata) and green ash (Fraxinus pennsylvanica), and desiccation sensitive, or recalcitrant, acorns of overcup oak (Quercus lyrata), water oak (Quercus nigra), and willow oak (Quercus phellos). Seeds of each species were incubated with one of eight osmotically adjusted water solutions ranging in water potential from 0.0 MPa to −1.4 MPa. This reduction in water potential decreases the water available to the seeds for germination. After four weeks, seed germination of all species decreased with reduced water potential; however, desiccation tolerance did not correspond with the ability to germinate under lower water potential. Orthodox seeds only germinated in higher water potential treatments. Sugarberry reached 30 % germination in only the control 0.0 MPa treatment while green ash reached 30 % germination in treatments as low as −0.4 MPa. In contrast, recalcitrant acorns continued to germinate under lower water potentials. Water oak maintained 30 % or greater germination under all treatments and willow oak reached 30 % down to −0.8 MPa. Overcup oak was the only species to not respond to water potential treatment. With respect to maximum germination, sugarberry and green ash reached maximum germination an average of 9 days sooner than the oak species. The results of this study agree with others that demonstrate that seed germination success is sensitive to environmental water conditions and that species specific differences in germination traits are linked to broader life history strategies that are adaptive to common environmental conditions in their range.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2024.122410","usgsCitation":"Pell, C., King, S.L., Hawkins, T.S., and Symmank, M., 2025, Determining the effects of reduced water availability on seed germination of five bottomland hardwood tree species: Forest Ecology and Management, v. 577, 122410, 7 p., https://doi.org/10.1016/j.foreco.2024.122410.","productDescription":"122410, 7 p.","ipdsId":"IP-162807","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":480998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"577","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pell, Charles J.","contributorId":349796,"corporation":false,"usgs":false,"family":"Pell","given":"Charles J.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":924825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":924826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawkins, Tracy S.","contributorId":341655,"corporation":false,"usgs":false,"family":"Hawkins","given":"Tracy","email":"","middleInitial":"S.","affiliations":[{"id":81773,"text":"Research Ecologist","active":true,"usgs":false}],"preferred":false,"id":924827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Symmank, Matt","contributorId":349797,"corporation":false,"usgs":false,"family":"Symmank","given":"Matt","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":924828,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273857,"text":"70273857 - 2025 - Lower trophic level monitoring implementation plan for Barataria Basin: Protocols and programmatic management","interactions":[],"lastModifiedDate":"2026-02-10T14:32:53.901679","indexId":"70273857","displayToPublicDate":"2025-02-01T08:52:54","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Lower trophic level monitoring implementation plan for Barataria Basin: Protocols and programmatic management","docAbstract":"Prior work completed by Kiskaddon et al. (2021, 2022b, 2022a) identified critical data gaps for Lower Trophic Level (LTL) organisms in Barataria Basin, Louisiana. A Monitoring and Adaptive Management (MAM) Activity Implementation Plan (MAIP) was subsequently developed to describe a MAM Activity that would address and fill these critical data gaps (hereafter termed the “LTL project”). As the lead implementing Trustee of the LTL project, the National Oceanic and Atmospheric Administration (NOAA), in collaboration with the Louisiana Trustee Implementation Group (LA TIG), is charged with implementing the LTL project (NOAA, 2022). The Water Institute (the Institute), in cooperation with federal, state, and private entities including NOAA, the U.S. Geological Survey (USGS), Louisiana State University (LSU), University of Louisiana at Lafayette (UL Lafayette), University of California (UC) Santa Cruz, and Dynamic Solutions, LLC developed this implementation plan to further detail LTL data collection in Barataria Basin that will fulfill the MAIP. This monitoring implementation plan describes procedures and protocols critical for data collection and project management.
","language":"English","publisher":"The Water Institute","usgsCitation":"Kiskaddon, E.P., Bargu, S., Baustian, M.M., Carle, M., Cowan, J., Doerr, J., Glaspie, C.N., Jensen, B., Liu, B., Marshall, E., Polito, M.J., Reeves, D.B., Sable, S., Sutor, M., and Zink, I., 2025, Lower trophic level monitoring implementation plan for Barataria Basin: Protocols and programmatic management, 164 p.","productDescription":"164 p.","ipdsId":"IP-173453","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":499674,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":499669,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.gulfspillrestoration.noaa.gov/project?id=269"}],"country":"United States","state":"Louisiana","otherGeospatial":"Barataria Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": 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The previous 2008 provisional assessment estimated how much electricity could be generated from EGS resources of the western United States using models of electric-grade heat, models of heat extraction over time, and estimates of how much rock might be stimulated to produce viable amounts of heat. Herein, a similar conceptual strategy is applied, using updated models of heat extraction as a function of fracture spacing and well distance. Previously used reservoir heat delivery models are updated to have a dependence on fracture and well spacing, potentially improving future estimates of EGS resources as ongoing research provides a better understanding about the success of reservoir stimulation as a function of geology and location. For a range of well distances (250-1000 m) and fracture spacings (1-50 m), heat extraction efficiency ranges from 25-62%, demonstrating the importance of accounting for the most likely results of proven viable fracturing technologies. Although fracturing is important, the biggest uncertainty by far in estimating the EGS resource for the Great Basin is estimating which geologic units at what depths can be stimulated sufficiently to produce geothermal energy economically and efficiently. Uncertainties in these factors yield estimates that range over two orders of magnitude with an upper limit of ~174 terawatts-thermal (TWth) produced for 30 years from the upper 7 km of the crust. This upper limit would require significant technological advances to access most of the electric-grade resource across the Great Basin. Assuming that 1% of this estimate will be accessible in the next few decades gives a resource estimate similar to that made in the 2008 provisional assessment. These estimated EGS heat extraction rates far exceed ( greater than 100x) the natural geothermal heat production rate, thus geothermal electricity production at these rates might not be sustainable unless heat is also recharged from other sources (e.g., excess solar energy when supply exceeds demand). In addition to assessment maps and cumulative estimates, the new models of fractured reservoirs developed herein can be used to estimate steady power production given a set of fractures and well spacing, and estimates can be made for setback distances to ensure no thermal interference with nearby powerplants.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings 50th Stanford Geothermal Workshop","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Stanford University","usgsCitation":"Burns, E., Zhang, J., Zhan, H., and Williams, C.F., 2025, Update of the 2008 provisional Enhanced Geothermal Systems (EGS) assessment for the Great Basin, USA, in Proceedings 50th Stanford Geothermal Workshop, v. 50, 16 p.","productDescription":"16 p.","ipdsId":"IP-171271","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":484439,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pangea.stanford.edu/ERE/db/IGAstandard/record_detail.php?id=37983","linkFileType":{"id":5,"text":"html"}},{"id":484490,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Idaho, Nevada, Oregon, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.5604124531929,\n 34.31489047686145\n ],\n [\n -113.98504991431244,\n 35.590033331367565\n ],\n [\n -111.56578416852676,\n 37.28632608593861\n ],\n [\n -110.9892619278067,\n 41.67884360099643\n ],\n [\n -111.97575138287687,\n 43.957662400395805\n ],\n [\n -113.578133783738,\n 43.132778243859036\n ],\n [\n -120.24368172899253,\n 43.85862565467747\n ],\n [\n -122.52741271491658,\n 43.93510559055008\n ],\n [\n -122.60852684393157,\n 40.29249889409965\n ],\n [\n -119.78500758001587,\n 37.03990264299661\n ],\n [\n -116.5604124531929,\n 34.31489047686145\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Burns, Erick R. 0000-0002-1747-0506","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":225412,"corporation":false,"usgs":true,"family":"Burns","given":"Erick R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":933047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Junyuan 0009-0007-0763-4742","orcid":"https://orcid.org/0009-0007-0763-4742","contributorId":346117,"corporation":false,"usgs":false,"family":"Zhang","given":"Junyuan","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":933048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhan, Hongbin 0000-0003-2060-4904","orcid":"https://orcid.org/0000-0003-2060-4904","contributorId":192156,"corporation":false,"usgs":false,"family":"Zhan","given":"Hongbin","email":"","affiliations":[],"preferred":false,"id":933049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Colin F. 0000-0003-2196-5496 colin@usgs.gov","orcid":"https://orcid.org/0000-0003-2196-5496","contributorId":274,"corporation":false,"usgs":true,"family":"Williams","given":"Colin","email":"colin@usgs.gov","middleInitial":"F.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":933050,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70267865,"text":"70267865 - 2025 - Is sexual size dimorphism in walleye, Sander vitreus, a driver of seasonal movements in Lake Erie?","interactions":[],"lastModifiedDate":"2025-06-06T13:30:52.332192","indexId":"70267865","displayToPublicDate":"2025-02-01T08:15:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Is sexual size dimorphism in walleye, Sander vitreus, a driver of seasonal movements in Lake Erie?","docAbstract":"Walleye (Sander vitreus) are a sexually dimorphic species in which females are larger than males in adulthood. Walleye can also exhibit sex- and population-based differences in migration behavior. In Lake Erie, we used acoustic telemetry to test the prediction that female walleye exhibit larger broad-scale movements than males during the summer and autumn. This prediction was based on the hypothesis that greater foraging in females would be needed to satisfy their higher energy requirements. We quantified movements of males and females from distinct spawning populations from Lake Erie's west and east basins using a lake-wide grid of acoustic receivers in 2017 and 2018. We found no differences between male and female home range sizes, core range sizes, or distances travelled in either population. Fish length-at-tagging was unrelated to the size of a fish's home range or to its distance travelled, contrary to previous predictions about body size as a driver of migration distance in the Lake Erie population. We found that west basin walleye occupied large and indiscrete portions of the lake, but the core range of females extended into the central basin, whereas males were concentrated in the west basin. Walleye originating from the east basin confined their movements primarily to the east basin and showed stronger home range overlap among members of their population than did walleye from the west basin population. Within either population, walleye had more home range overlap with members of the same sex, which likely reflects differences in the migratory tendencies of males and females.
","language":"English","publisher":"Wiley","doi":"10.1111/jfb.15960","usgsCitation":"Bihun, C., Faust, M., Kraus, R., MacDougall, T., Robinson, J., Vandergoot, C., and Raby, G., 2025, Is sexual size dimorphism in walleye, Sander vitreus, a driver of seasonal movements in Lake Erie?: Journal of Fish Biology, v. 106, no. 2, p. 430-441, https://doi.org/10.1111/jfb.15960.","productDescription":"12 p.","startPage":"430","endPage":"441","ipdsId":"IP-165223","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":490640,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/jfb.15960","text":"External Repository"},{"id":489690,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.3340237734879,\n 42.2003107892165\n ],\n [\n -83.76123811265276,\n 41.36759241460828\n ],\n [\n -81.80316880718208,\n 41.3146825621337\n ],\n [\n -78.64522615109004,\n 42.56891605267103\n ],\n [\n -78.69689358833503,\n 42.91401349265345\n ],\n [\n -79.6373646641363,\n 43.07393720267635\n ],\n [\n -81.57717526647028,\n 42.625802175312444\n ],\n [\n -83.3340237734879,\n 42.2003107892165\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"106","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-10-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Bihun, Christian J.","contributorId":356358,"corporation":false,"usgs":false,"family":"Bihun","given":"Christian J.","affiliations":[{"id":36679,"text":"Trent University","active":true,"usgs":false}],"preferred":false,"id":939170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faust, Matthew","contributorId":268770,"corporation":false,"usgs":false,"family":"Faust","given":"Matthew","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":939171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":939172,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"MacDougall, Thomas","contributorId":354792,"corporation":false,"usgs":false,"family":"MacDougall","given":"Thomas","affiliations":[{"id":84663,"text":"Ontario Ministry of Nat. Res. and Forestry","active":true,"usgs":false}],"preferred":false,"id":939173,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, Jason","contributorId":216164,"corporation":false,"usgs":false,"family":"Robinson","given":"Jason","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":939174,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vandergoot, Christopher","contributorId":340837,"corporation":false,"usgs":false,"family":"Vandergoot","given":"Christopher","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":939175,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Raby, Graham D.","contributorId":189592,"corporation":false,"usgs":false,"family":"Raby","given":"Graham D.","affiliations":[],"preferred":false,"id":939176,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70267764,"text":"70267764 - 2025 - Mammalian predator co‐occurrence affected by prey and habitat more than competitor presence at multiple time scales","interactions":[],"lastModifiedDate":"2025-05-30T15:16:42.455962","indexId":"70267764","displayToPublicDate":"2025-02-01T08:10:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Mammalian predator co‐occurrence affected by prey and habitat more than competitor presence at multiple time scales","docAbstract":"The behavior and abundance of sympatric predators can be affected by a complex dominance hierarchy. The strength of antagonistic interactions in predator communities is difficult to study and remains poorly understood for many predator assemblages. Predators directly and indirectly influence the broader ecosystem, so identifying the relative importance of competition, prey, and habitat in shaping predator interactions has broad conservation and management implications. We investigated space use among five predator species (black bear [Ursus americanus], bobcat [Lynx rufus], coyote [Canis latrans], mountain lion [Puma concolor], and gray wolf [Canis lupus]) across three temporal scales in northern Idaho, USA. We used camera trap data to test whether potentially subordinate predators spatially avoided dominant predators and how prey availability influenced those relationships. We found few instances of subordinate predators spatially avoiding dominant predators and only at the finest temporal scale of our analyses. Instead, habitat features generally influenced predator space use patterns at coarser scales whereas prey and competitor presence influenced space use patterns at finer scales. Co-occurrence was positively associated between coyotes and bobcats at coarser timescales and between mesopredators and apex predators at finer timescales. Bobcats and mountain lions temporarily delayed the use of sites recently visited by coyotes and black bears, respectively. And all predator species used sites sooner following the detection of a competitor in areas with higher relative abundances of prey (primarily white-tailed deer [Odocoileus virginianus]). Our results suggest attraction to shared habitats and prey resources influenced space use in the predator community more than avoidance of competitors. We propose that the effects of interspecific interactions on predator distributions were most evident for mesopredators because their trophic position requires balancing risks and rewards associated with prey, apex predators, and other mesopredators. In addition, relatively high densities of a common prey source likely facilitated the spatial coexistence in this predator community. Our study demonstrates the value of simultaneously assessing multiple interspecific interactions across different spatiotemporal scales to discern relationships within the predator guild.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecm.1648","collaboration":"Idaho Department of Fish and Game","usgsCitation":"Bassing, S., Ausband, D.E., Mumma, M., Thompson, S., Hurley, M., and Falcy, M.R., 2025, Mammalian predator co‐occurrence affected by prey and habitat more than competitor presence at multiple time scales: Ecological Monographs, v. 95, no. 1, e1648, 25 p., https://doi.org/10.1002/ecm.1648.","productDescription":"e1648, 25 p.","ipdsId":"IP-157343","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":498242,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecm.1648","text":"Publisher Index Page"},{"id":489257,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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