Antimony (Sb) is a valuable mined commodity, used mostly in fire retardants, and considered a critical element. It is also a potential environment hazard classed as a carcinogen. Antimony is concentrated in tailings and waste rock from Sb mines as well as other locations, such as precious metal deposits, where Sb is present in the ore but not recovered. This review covers the aqueous geochemistry, isotope chemistry, mineralogy, and microbiology of Sb in the context of mine waste. The primary minerals stibnite and sulfosalts may release Sb in surface and groundwaters and result in contamination of soils, plants, and river sediments. In some cases, Sb mobility is limited by its adsorption and incorporation into Fe (oxyhydr)oxides. At higher Sb concentrations, precipitation of Sb secondary hosts such as tripuhyite (FeSbO4, relatively insoluble) and brandholzite (Mg[Sb(OH)6]2 · 6H2O, highly soluble) influence Sb concentrations in water associated with mine waste. Although Sb is nonessential to organisms, microorganisms are involved in oxidation, reduction, and methylation processes that can drive biogeochemical transformations. Limited toxicological information about Sb makes it challenging to establish regulations or guidelines limiting the concentration of Sb. Antimony is frequently associated with arsenic in mine waste, and remediation design is often based on the assumption that both metalloids behave in a similar way. However, new research suggests that in some environments, this is not the case, and Sb should be considered based on its unique biogeochemical behavior.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.4937","usgsCitation":"Radkova, A.B., Jamieson, H., Campbell, K.M., and Hudson-Edwards, K.A., 2023, Antimony in mine wastes: Geochemistry, mineralogy, microbiology: Economic Geology, v. 118, no. 3, p. 621-637, https://doi.org/10.5382/econgeo.4937.","productDescription":"17 p.","startPage":"621","endPage":"637","ipdsId":"IP-121926","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":407457,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"118","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Radkova, Anezka Borcinova","contributorId":223648,"corporation":false,"usgs":false,"family":"Radkova","given":"Anezka","email":"","middleInitial":"Borcinova","affiliations":[{"id":40753,"text":"Queen's University","active":true,"usgs":false}],"preferred":false,"id":853136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jamieson, Heather E.","contributorId":245508,"corporation":false,"usgs":false,"family":"Jamieson","given":"Heather E.","affiliations":[{"id":49208,"text":"Queen’s University, Canada","active":true,"usgs":false}],"preferred":false,"id":853137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":853138,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hudson-Edwards, Karen A.","contributorId":195345,"corporation":false,"usgs":false,"family":"Hudson-Edwards","given":"Karen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":853139,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70240136,"text":"70240136 - 2023 - Prioritizing pesticides of potential concern and identifying potential mixture effects in Great Lakes tributaries using passive samplers","interactions":[],"lastModifiedDate":"2023-01-30T12:46:08.681028","indexId":"70240136","displayToPublicDate":"2022-09-27T06:42:16","publicationYear":"2023","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":"Prioritizing pesticides of potential concern and identifying potential mixture effects in Great Lakes tributaries using passive samplers","docAbstract":"To help meet the objectives of the Great Lakes Restoration Initiative with regard to increasing knowledge about toxic substances, 223 pesticides and pesticide transformation products were monitored in 15 Great Lakes tributaries using polar organic chemical integrative samplers. A screening-level assessment of their potential for biological effects was conducted by computing toxicity quotients (TQs) for chemicals with available US Environmental Protection Agency (USEPA) Aquatic Life Benchmark values. In addition, exposure activity ratios (EAR) were calculated using information from the USEPA ToxCast database. Between 16 and 81 chemicals were detected per site, with 97 unique compounds detected overall, for which 64 could be assessed using TQs or EARs. Ten chemicals exceeded TQ or EAR levels of concern at two or more sites. Chemicals exceeding thresholds included seven herbicides (2,4-dichlorophenoxyacetic acid, diuron, metolachlor, acetochlor, atrazine, simazine, and sulfentrazone), a transformation product (deisopropylatrazine), and two insecticides (fipronil and imidacloprid). Watersheds draining agricultural and urban areas had more detections and higher concentrations of pesticides compared with other land uses. Chemical mixtures analysis for ToxCast assays associated with common modes of action defined by gene targets and adverse outcome pathways (AOP) indicated potential activity on biological pathways related to a range of cellular processes, including xenobiotic metabolism, extracellular signaling, endocrine function, and protection against oxidative stress. Use of gene ontology databases and the AOP knowledgebase within the R-package ToxMixtures highlighted the utility of ToxCast data for identifying and evaluating potential biological effects and adverse outcomes of chemicals and mixtures. Results have provided a list of high-priority chemicals for future monitoring and potential biological effects warranting further evaluation in laboratory and field environments. Environ Toxicol Chem 2023;42:340–366. Published 2022. This article is a U.S. Government work and is in the public domain in the USA. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
Pollen and spores were recovered from the Paleocene Fort Union Formation and Paleocene–Eocene Willwood Formation of the Bighorn Basin (BHB), northwestern Wyoming, USA. In many local stratigraphic sections in the BHB, the base of the Eocene has been identified by the characteristic negative carbon isotope excursion (CIE) that marks the beginning of the Paleocene–Eocene Thermal Maximum (PETM). The palynotaxa from outcrop samples were examined using light microscopy (LM) and scanning electron microscopy (SEM). Seven new species are formally described (Tricolpites vegrandis, Rousea spatium, Striatricolporites astutus, Striatopollis calidarius, Friedrichipollis geminus, Retistephanocolporites modicrassus and Retistephanocolporites pergrandis). The temporal and geographic distributions of many of these palynotaxa suggest that hotter and more seasonally dry climates facilitated their northward range shifts during the PETM from the tropics or subtropics of the USA. For the temperate palynotaxa, the hotter and seasonally dry conditions resulted in local extirpation. A re-evaluation of the palynostratigraphic schemes established for the Paleocene–Eocene boundary confirms that the first appearance of Platycarya platycaryoides denotes the Paleocene–Eocene boundary in the Rocky Mountains region. A new Striatopollis calidarius Subzone, associated with early Wasatchian (Wa) Wa-0 and Wa-R faunas, is also recognized for CIE body localities in the BHB.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01916122.2022.2115159","usgsCitation":"Korasidis, V.A., Wing, S.L., Harrington, G.J., Demchuk, T., Gfavendyck, J., Jardine, P.E., and Willard, D., 2023, Biostratigraphically significant palynofloras from the Paleocene–Eocene boundary of the USA: Palynology, v. 47, no. 1, 2115159, https://doi.org/10.1080/01916122.2022.2115159.","productDescription":"2115159","ipdsId":"IP-143511","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":407959,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Bighorn Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.44030761718749,\n 43.42898792344155\n ],\n [\n -107.26501464843749,\n 43.42898792344155\n ],\n [\n -107.26501464843749,\n 45.058001435398275\n ],\n [\n -109.44030761718749,\n 45.058001435398275\n ],\n [\n -109.44030761718749,\n 43.42898792344155\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Korasidis, Vera A.","contributorId":297212,"corporation":false,"usgs":false,"family":"Korasidis","given":"Vera","email":"","middleInitial":"A.","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":853660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wing, Scott L.","contributorId":297213,"corporation":false,"usgs":false,"family":"Wing","given":"Scott","email":"","middleInitial":"L.","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":853661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harrington, Guy J.","contributorId":297214,"corporation":false,"usgs":false,"family":"Harrington","given":"Guy","email":"","middleInitial":"J.","affiliations":[{"id":64318,"text":"Petrostrat Ltd.","active":true,"usgs":false}],"preferred":false,"id":853662,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Demchuk, Thomas","contributorId":297215,"corporation":false,"usgs":false,"family":"Demchuk","given":"Thomas","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":853663,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gfavendyck, J.","contributorId":297217,"corporation":false,"usgs":false,"family":"Gfavendyck","given":"J.","email":"","affiliations":[{"id":64319,"text":"Leibniz University","active":true,"usgs":false}],"preferred":false,"id":853664,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jardine, Phillip E.","contributorId":297219,"corporation":false,"usgs":false,"family":"Jardine","given":"Phillip","email":"","middleInitial":"E.","affiliations":[{"id":64320,"text":"University of Munster","active":true,"usgs":false}],"preferred":false,"id":853665,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Willard, Debra A. 0000-0003-4878-0942","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":269840,"corporation":false,"usgs":true,"family":"Willard","given":"Debra A.","affiliations":[],"preferred":true,"id":853666,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70237700,"text":"70237700 - 2023 - Transcriptome signatures of wastewater effluent exposure in larval zebrafish vary with seasonal mixture composition in an effluent-dominated stream","interactions":[],"lastModifiedDate":"2022-10-19T13:44:49.342134","indexId":"70237700","displayToPublicDate":"2022-09-26T08:33:17","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Transcriptome signatures of wastewater effluent exposure in larval zebrafish vary with seasonal mixture composition in an effluent-dominated stream","docAbstract":"Wastewater treatment plant (WWTP) effluent-dominated streams provide critical habitat for aquatic and terrestrial organisms but also continually expose them to complex mixtures of pharmaceuticals that can potentially impair growth, behavior, and reproduction. Currently, few biomarkers are available that relate to pharmaceutical-specific mechanisms of action. In the experiment reported in this paper, zebrafish (Danio rerio) embryos at two developmental stages were exposed to water samples from three sampling sites (0.1 km upstream of the outfall, at the effluent outfall, and 0.1 km below the outfall) during base-flow conditions from two months (January and May) of a temperate-region effluent-dominated stream containing a complex mixture of pharmaceuticals and other contaminants of emerging concern. RNA-sequencing identified potential biological impacts and biomarkers of WWTP effluent exposure that extend past traditional markers of endocrine disruption. Transcriptomics revealed changes to a wide range of biological functions and pathways including cardiac, neurological, visual, metabolic, and signaling pathways. These transcriptomic changes varied by developmental stage and displayed sensitivity to variable chemical composition and concentration of effluent, thus indicating a need for stage-specific biomarkers. Some transcripts are known to be associated with genes related to pharmaceuticals that were present in the collected samples. Although traditional biomarkers of endocrine disruption were not enriched in either month, a high estrogenicity signal was detected upstream in May and implicates the presence of unidentified chemical inputs not captured by the targeted chemical analysis. This work reveals associations between bioeffects of exposure, stage of development, and the composition of chemical mixtures in effluent-dominated surface water. The work underscores the importance of measuring effects beyond the endocrine system when assessing the impact of bioactive chemicals in WWTP effluent and identifies a need for non-targeted chemical analysis when bioeffects are not explained by the targeted analysis.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2022.159069","usgsCitation":"Meade, E.B., Iwanowicz, L., Neureuther, N., LeFevre, G.H., Kolpin, D., Zhi, H., Meppelink, S.M., Lane, R.F., Schmoldt, A., Mohaimani, A., Mueller, O., and Klaper, R.D., 2023, Transcriptome signatures of wastewater effluent exposure in larval zebrafish vary with seasonal mixture composition in an effluent-dominated stream: Science of the Total Environment, v. 856, no. Part 2, 159069, 12 p., https://doi.org/10.1016/j.scitotenv.2022.159069.","productDescription":"159069, 12 p.","ipdsId":"IP-128563","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":445405,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12503111/","text":"Publisher Index Page"},{"id":408539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","city":"North Liberty","otherGeospatial":"Muddy Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.59782409667969,\n 41.70624114327587\n ],\n [\n -91.5216064453125,\n 41.70624114327587\n ],\n [\n -91.5216064453125,\n 41.75236092824208\n ],\n [\n -91.59782409667969,\n 41.75236092824208\n ],\n [\n -91.59782409667969,\n 41.70624114327587\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"856","issue":"Part 2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Meade, Emma B.","contributorId":298074,"corporation":false,"usgs":false,"family":"Meade","given":"Emma","email":"","middleInitial":"B.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":855054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":79382,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":855055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neureuther, Nicklaus","contributorId":298075,"corporation":false,"usgs":false,"family":"Neureuther","given":"Nicklaus","email":"","affiliations":[],"preferred":false,"id":855056,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LeFevre, Gregory H.","contributorId":211880,"corporation":false,"usgs":false,"family":"LeFevre","given":"Gregory","email":"","middleInitial":"H.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":true,"id":855057,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":247493,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":855058,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhi, Hui","contributorId":225502,"corporation":false,"usgs":false,"family":"Zhi","given":"Hui","email":"","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":855059,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meppelink, Shannon M. 0000-0003-1294-7878","orcid":"https://orcid.org/0000-0003-1294-7878","contributorId":205653,"corporation":false,"usgs":true,"family":"Meppelink","given":"Shannon","email":"","middleInitial":"M.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":855060,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lane, Rachael F. 0000-0001-9202-0612","orcid":"https://orcid.org/0000-0001-9202-0612","contributorId":222471,"corporation":false,"usgs":true,"family":"Lane","given":"Rachael","email":"","middleInitial":"F.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":855061,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schmoldt, Angela","contributorId":298078,"corporation":false,"usgs":false,"family":"Schmoldt","given":"Angela","email":"","affiliations":[{"id":64490,"text":"Great Lakes Genomics Center","active":true,"usgs":false}],"preferred":false,"id":855062,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mohaimani, Aurash","contributorId":298079,"corporation":false,"usgs":false,"family":"Mohaimani","given":"Aurash","email":"","affiliations":[{"id":64490,"text":"Great Lakes Genomics Center","active":true,"usgs":false}],"preferred":false,"id":855063,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mueller, Olaf","contributorId":298080,"corporation":false,"usgs":false,"family":"Mueller","given":"Olaf","email":"","affiliations":[{"id":64490,"text":"Great Lakes Genomics Center","active":true,"usgs":false}],"preferred":false,"id":855064,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Klaper, Rebecca D.","contributorId":218114,"corporation":false,"usgs":false,"family":"Klaper","given":"Rebecca","email":"","middleInitial":"D.","affiliations":[{"id":18038,"text":"University of Wisconsin, Milwaukee","active":true,"usgs":false}],"preferred":false,"id":855065,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70256641,"text":"70256641 - 2023 - A hierarchical approach to fish conservation in semiarid landscapes: A need to understand multiscale environmental relationships","interactions":[],"lastModifiedDate":"2024-09-09T15:23:37.492129","indexId":"70256641","displayToPublicDate":"2022-09-25T10:15:23","publicationYear":"2023","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"4","title":"A hierarchical approach to fish conservation in semiarid landscapes: A need to understand multiscale environmental relationships","docAbstract":"A multiscale perspective is essential for conservation planning of riverine fishes. Coarse-scale habitat (e.g., basis) can influence both finer-scale habitat characteristics (e.g., reaches and microhabitat) and associated species distributions. Finer-scale management and habitat rehabilitation efforts can fail without the consideration of coarser-scale constraints. We provide a conceptual hierarchical framework for multiscale fish conservation strategies in the semiarid Great Plains. The Great Plains stream network is highly fragmented due to dam construction, water withdrawals, and increased drought severity. Our framework uses relationships with basin-scale connectivity and streamflow and reach-scale physicochemical characteristics in the context of aiding species reintroduction and stream habitat improvements.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"River basin management: Under a changing climate","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"IntechOpen","doi":"10.5772/intechopen.105602","usgsCitation":"Mollenhauer, R.M., Brewer, S.K., Moore, D., Swedberg, D., and Wedgeworth, M., 2023, A hierarchical approach to fish conservation in semiarid landscapes: A need to understand multiscale environmental relationships, chap. 4 of River basin management: Under a changing climate, https://doi.org/10.5772/intechopen.105602.","ipdsId":"IP-141368","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":445410,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5772/intechopen.105602","text":"Publisher Index Page"},{"id":433621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2023-02-22","publicationStatus":"PW","contributors":{"editors":[{"text":"Ray, Ram L.","contributorId":21850,"corporation":false,"usgs":true,"family":"Ray","given":"Ram","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":912750,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Panagoulia, Dionysia","contributorId":344060,"corporation":false,"usgs":false,"family":"Panagoulia","given":"Dionysia","email":"","affiliations":[],"preferred":false,"id":912751,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Abeysingha, Nimal","contributorId":344061,"corporation":false,"usgs":false,"family":"Abeysingha","given":"Nimal","email":"","affiliations":[],"preferred":false,"id":912752,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Mollenhauer, Robert Michael 0000-0002-4033-8685","orcid":"https://orcid.org/0000-0002-4033-8685","contributorId":290165,"corporation":false,"usgs":true,"family":"Mollenhauer","given":"Robert","email":"","middleInitial":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":908443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Desiree","contributorId":341451,"corporation":false,"usgs":false,"family":"Moore","given":"Desiree","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":908445,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swedberg, Dusty","contributorId":341452,"corporation":false,"usgs":false,"family":"Swedberg","given":"Dusty","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":908446,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wedgeworth, Maeghen","contributorId":341453,"corporation":false,"usgs":false,"family":"Wedgeworth","given":"Maeghen","email":"","affiliations":[{"id":81741,"text":"Marine Resources Research Institute","active":true,"usgs":false}],"preferred":false,"id":908447,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70237134,"text":"70237134 - 2023 - Diet energy density estimated from isotopes in predator hair associated with survival, habitat, and population dynamics","interactions":[],"lastModifiedDate":"2023-03-15T14:23:25.499132","indexId":"70237134","displayToPublicDate":"2022-09-24T06:39:52","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Diet energy density estimated from isotopes in predator hair associated with survival, habitat, and population dynamics","docAbstract":"Sea ice loss is fundamentally altering the Arctic marine environment. Yet there is a paucity of data on the adaptability of food webs to ecosystem change, including predator-prey interactions. Polar bears (Ursus maritimus) are an important subsistence resource for Indigenous people and an apex predator that relies entirely on the under-ice food web to meet their energy needs. Here, we assessed whether polar bears maintained dietary energy density by prey switching in response to spatial-temporal variation in prey availability. We compared the macronutrient composition of diets inferred from stable carbon and nitrogen isotopes in polar bear guard hair (primarily representing summer/fall diet) during periods when bears had low and high survival 2004-2016, between bears that summered on land versus pack ice, and between bears occupying different regions of the Alaskan and Canadian Beaufort Sea. Polar bears consumed diets with lower energy density during periods of low survival suggesting that concurrent increased dietary proportions of beluga whales (Delphinapterus leucas) did not offset reduced proportions of ringed seals (Pusa hispida). Diets with the lowest energy density and proportions from ringed seal blubber were consumed by bears in the western Beaufort Sea (Alaska) during a period when polar bear abundance declined. Intake required to meet energy requirements of an average free-ranging adult female polar bear was 2.1 kg/day on diets consumed during years with high survival but rose to 3.0 kg/day when survival was low. Although bears that summered onshore in the Alaskan Beaufort Sea had higher fat diets than bears that summered on the pack ice, access to the remains of subsistence-harvested bowhead whales (Balaena mysticetus) contributed little to improving diet energy density. Because most bears in this region remain with the sea ice year-round, prey-switching and consumption of whale carcasses onshore appear insufficient to augment diets when availability of their primary prey, ringed seals, is reduced. Our results show that a strong predator-prey relationship between polar bears and ringed seals continues in the Beaufort Sea. The method of estimating dietary blubber using predator hair, demonstrated here, provides a new metric to monitor predator-prey relationships that affect individual health and population demographics.
Current understanding of global late Quaternary fire history is largely drawn from sedimentary charcoal data. Since publication, CharAnalysis increasingly has been relied upon as a robust method for analyzing these data. However, several underlying assumptions of the algorithm have not been tested. This study uses replicated charcoal count data to examine the assumption of Poisson distribution and reproducibility of peak detection. Results show <10% of the replicate counts are Poisson distributed, a maximum peak replication rate of 60%, and, for >90% of the data, intra-level count differences were larger than the threshold used to identify significance in inter-level differences. A pronounced “edge effect” was observed at the beginning and end of the records, cautioning against validation of results based on sections corresponding to the historical period. The proximal cause for low reproducibility is likely a lack of spatial randomness of charcoal particles at the scale of a core diameter. Until and unless decomposition methods can be developed that accommodate the observed limitations inherent in particle count data, best practices for interpreting charcoal records may be to rely on qualitative interpretations based on smoothed influx values and minimum particle count values in the hundreds.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/qua.2022.43","usgsCitation":"Anderson, L., Presnetsova, L.S., Wahl, D., Phelps, G., and Gous, A., 2023, Assessing reproducibility in sedimentary macroscopic charcoal count data: Quaternary Research, v. 111, p. 177-196, https://doi.org/10.1017/qua.2022.43.","productDescription":"20 p.","startPage":"177","endPage":"196","ipdsId":"IP-123535","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":435576,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9D27CPD","text":"USGS data release","linkHelpText":"ReplicateChar package"},{"id":407617,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"111","noUsgsAuthors":false,"publicationDate":"2022-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Lysanna 0000-0001-5650-9744 landerson@usgs.gov","orcid":"https://orcid.org/0000-0001-5650-9744","contributorId":5339,"corporation":false,"usgs":true,"family":"Anderson","given":"Lysanna","email":"landerson@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":850450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Presnetsova, Liubov S. 0000-0002-1351-8541 lpresnetsova@usgs.gov","orcid":"https://orcid.org/0000-0002-1351-8541","contributorId":296053,"corporation":false,"usgs":true,"family":"Presnetsova","given":"Liubov","email":"lpresnetsova@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":850451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wahl, David 0000-0002-0451-3554","orcid":"https://orcid.org/0000-0002-0451-3554","contributorId":206113,"corporation":false,"usgs":true,"family":"Wahl","given":"David","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":850452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phelps, Geoffrey 0000-0003-1958-2736 gphelps@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-2736","contributorId":127489,"corporation":false,"usgs":true,"family":"Phelps","given":"Geoffrey","email":"gphelps@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":850453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gous, Alan","contributorId":296054,"corporation":false,"usgs":false,"family":"Gous","given":"Alan","email":"","affiliations":[{"id":63976,"text":"ICME, Stanford University","active":true,"usgs":false}],"preferred":false,"id":850454,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70255109,"text":"70255109 - 2023 - Suppression of invasive fish in the west: Synthesis and suggestions for improvement","interactions":[],"lastModifiedDate":"2024-06-12T15:47:38.322839","indexId":"70255109","displayToPublicDate":"2022-09-23T10:45:03","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Suppression of invasive fish in the west: Synthesis and suggestions for improvement","docAbstract":"Reservoirs are ubiquitous features on the landscape of the western United States. Although reservoirs provide numerous benefits (e.g., irrigation, flood control, hydropower, recreational use), these systems are often a concern from an ecological perspective. Reservoirs support fisheries primarily composed of nonindigenous sport fishes that may become invasive and negatively influence recipient ecosystems. Furthermore, reservoirs alter adjacent riverine habitats, further increasing the threat of invasive fishes to aquatic systems. As such, most western natural resource management agencies focus considerable effort on managing the threat of invasive fish species. Unfortunately, controlling invasive fish is expensive and rarely effective because of a lack of clear objectives, appropriate fishing mortality, and long-term commitment. In an effort to improve management of invasive fish in the western United States, we reviewed existing literature to identify the steps necessary to effectively suppress these species. Specifically, we provide guidance on defining achievable objectives, assessing feasibility, evaluating success, and improving the efficiency of invasive fish suppression. This iterative approach provides managers with a framework to effectively address the challenge of suppressing invasive fish in the western United States.
","language":"English","publisher":"American Fisheries Scoiety","doi":"10.1002/nafm.10827","usgsCitation":"Klein, Z.B., Quist, M.C., and Guy, C.S., 2023, Suppression of invasive fish in the west: Synthesis and suggestions for improvement: North American Journal of Fisheries Management, v. 43, no. 2, p. 369-383, https://doi.org/10.1002/nafm.10827.","productDescription":"15 p.","startPage":"369","endPage":"383","ipdsId":"IP-134823","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":430018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Klein, Zachary B.","contributorId":171709,"corporation":false,"usgs":false,"family":"Klein","given":"Zachary","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":903423,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903424,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true}],"preferred":true,"id":903425,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70237086,"text":"70237086 - 2023 - Taking steps to address inequities in open-access publishing through an early career publication honor","interactions":[],"lastModifiedDate":"2023-05-25T15:21:11.5395","indexId":"70237086","displayToPublicDate":"2022-09-23T09:36:26","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5456,"text":"Limnology and Oceanography Letters","active":true,"publicationSubtype":{"id":10}},"title":"Taking steps to address inequities in open-access publishing through an early career publication honor","docAbstract":"Access to resources—whether human, financial, or social—is a key indicator of research output and, in turn, academic career progression. However, resources are not equally distributed among scientists and disparities often stem from external factors. This reality is particularly impactful for early career researchers (ECRs) who have limited control over the resources available to them to advance their careers. The resources needed to fund open-access (OA) publishing are a well-known source of academic inequity (Ross-Hellauer 2022). Despite this, wide support for OA publishing exists across the scientific community, largely because OA articles increase access to the scientific literature by removing costly paywalls (Piwowar et al. 2018). Benefits of OA publishing also exist for individual researchers; OA studies are read and cited more, so much so that an “open access citation advantage” has been described (McCabe and Snyder 2014). Depending on the methods and journals studied, this advantage ranges from an 8 to 40% increase in citation rate (Piwowar et al. 2018). The OA publishing model is set to expand further, with influential groups seeking to mandate OA publishing (e.g., Plan S; Else 2021) including recent guidance from the United States Office of Science and Technology Policy (The White House 2022). However, OA publishing remains expensive, often prohibitively so, and OA fees deter ECRs broadly (Sarabipour et al. 2019), and particularly those from the Global South (Kwon 2022; Santidrián Tomillo et al. 2022).
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lol2.10283","usgsCitation":"Hotaling, S., Deemer, B., Poulson-Ellestad, K., and Falkenberg, L.J., 2023, Taking steps to address inequities in open-access publishing through an early career publication honor: Limnology and Oceanography Letters, v. 8, no. 3, p. 385-387, https://doi.org/10.1002/lol2.10283.","productDescription":"3 p.","startPage":"385","endPage":"387","ipdsId":"IP-142599","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":445419,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lol2.10283","text":"Publisher Index Page"},{"id":407597,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Hotaling, Scott","contributorId":202050,"corporation":false,"usgs":false,"family":"Hotaling","given":"Scott","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":853292,"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":853293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulson-Ellestad, Kelsey","contributorId":297098,"corporation":false,"usgs":false,"family":"Poulson-Ellestad","given":"Kelsey","email":"","affiliations":[{"id":64292,"text":"Department of Biological, Physical, and Health Sciences, Roosevelt University, Chicago, IL, USA","active":true,"usgs":false}],"preferred":false,"id":853294,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Falkenberg, Laura J.","contributorId":297099,"corporation":false,"usgs":false,"family":"Falkenberg","given":"Laura","email":"","middleInitial":"J.","affiliations":[{"id":64294,"text":"Simon F.S. Li Marine Science Laboratory, School of Life Sciences, The Chinese University of Hong Kong, Hong Kong SAR, Hong Kong","active":true,"usgs":false}],"preferred":false,"id":853295,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70242723,"text":"70242723 - 2023 - High-resolution 3D forest structure explains ecomorphological trait variation in assemblages of saproxylic beetles","interactions":[],"lastModifiedDate":"2023-05-10T19:15:20.332938","indexId":"70242723","displayToPublicDate":"2022-09-23T06:57:24","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"High-resolution 3D forest structure explains ecomorphological trait variation in assemblages of saproxylic beetles","docAbstract":"The feminization of green sunfish Lepomis cyanellus could expand their utility as a game fish or aquacultured species by preventing overcrowding and precocious reproduction in stocked systems. Feminization of green sunfish could also help elucidate information on their sex determination system. We report the feminization of green sunfish cohorts via oral administration of estradiol-17β (E2) during early development. A low-dose (100 E2 mg per kg of diet) and a high-dose (150 E2 mg per kg of diet) experimental E2 treatment were fed to juvenile green sunfish from 30 to 90 days post-hatch. Fish were subsequently evaluated for any treatment effect on gonadal development, survival, and growth. Both E2 treatments resulted in 100% feminization, with no morphological or histological differences detected between E2 treated ovaries and those from a control group. The control group was composed mostly of males (82.61%). Overall, there was no effect of E2 on survival (P = 0.310) and growth rate data suggested no statistical differences (P = 0.0805). However, the growth rate of the high-dose group increased slightly higher after the treatment ended than the other treatments (P = 0.042), suggesting that E2 might suppress growth in green sunfish. In addition, the control group did not exhibit a higher survival rate after the treatment period ended (P = 0.266), whereas both E2 treated groups did (P = 0.0003–0.0050). We found that the low dose, 100 E2 mg per kg of diet, was sufficient for fully feminizing green sunfish if administered during development from 30 to 90 days post-hatch and E2 dosages may result in deleterious effects on green sunfish's health and growth.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquaculture.2022.738853","usgsCitation":"Teal, C., Schill, D., Fogelson, S.B., Roberts, C.M., Fitzsimmons, K., Bauder, J.M., Stewart, W., and Bonar, S.A., 2023, The effects of estradiol-17β on the sex reversal, survival, and growth of green sunfish Lepomis cyanellus: Aquaculture, v. 562, 738853, 10 p., https://doi.org/10.1016/j.aquaculture.2022.738853.","productDescription":"738853, 10 p.","ipdsId":"IP-137238","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":430213,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"562","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Teal, Chad N.","contributorId":288198,"corporation":false,"usgs":false,"family":"Teal","given":"Chad N.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":903443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schill, Daniel J.","contributorId":288577,"corporation":false,"usgs":false,"family":"Schill","given":"Daniel J.","affiliations":[{"id":61802,"text":"Fisheries Management Solutions","active":true,"usgs":false}],"preferred":false,"id":903444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fogelson, Susan B.","contributorId":288578,"corporation":false,"usgs":false,"family":"Fogelson","given":"Susan","email":"","middleInitial":"B.","affiliations":[{"id":61804,"text":"Fishhead Labs","active":true,"usgs":false}],"preferred":false,"id":903445,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roberts, Colby M.","contributorId":288579,"corporation":false,"usgs":false,"family":"Roberts","given":"Colby","email":"","middleInitial":"M.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":903446,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzsimmons, Kevin","contributorId":288580,"corporation":false,"usgs":false,"family":"Fitzsimmons","given":"Kevin","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":903447,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bauder, Javan Mathias 0000-0002-2055-5324","orcid":"https://orcid.org/0000-0002-2055-5324","contributorId":337814,"corporation":false,"usgs":true,"family":"Bauder","given":"Javan","email":"","middleInitial":"Mathias","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":904147,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stewart, William T.","contributorId":337956,"corporation":false,"usgs":false,"family":"Stewart","given":"William T.","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":904148,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903448,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70237174,"text":"70237174 - 2023 - Testing the ShakeAlert earthquake early warning system using synthesized earthquake sequences","interactions":[],"lastModifiedDate":"2023-01-18T16:54:32.399135","indexId":"70237174","displayToPublicDate":"2022-09-22T06:26:48","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Testing the ShakeAlert earthquake early warning system using synthesized earthquake sequences","docAbstract":"We test the behavior of the United States (US) West Coast ShakeAlert earthquake early warning (EEW) system during temporally close earthquake pairs to understand current performance and limitations. We consider performance metrics based on source parameter and ground‐motion forecast accuracy, as well as on alerting timeliness. We generate ground‐motion times series for synthesized earthquake sequences from real data by combining the signals from pairs of well‐recorded earthquakes (4.4≤M≤7.1) using time shifts ranging from −60 to +180 s. We examine fore‐ and aftershock sequences, near‐simultaneous events in different source regions, and simulated out‐of‐network and offshore earthquakes. We find that the operational ShakeAlert algorithms Earthquake Point‐source Integrated Code (EPIC) and Finite‐Fault Rupture Detector (FinDer) and the Propagation of Local Undamped Motion (PLUM) method perform largely as expected: EPIC provides the best source location estimates and is often fastest but can underestimate magnitudes or, in extreme cases, miss large earthquakes; FinDer provides real‐time line‐source models and unsaturated magnitude estimates for large earthquakes but currently cannot process concurrent events and may mislocate offshore earthquakes; PLUM identifies pockets of strong ground motion, but can overestimate alert areas. Implications for system performance are: (1) spatially and temporally close events are difficult to identify separately; (2) challenging scenarios with foreshocks that are close in space and time can lead to missed alerts for large earthquakes; and (3) in these situations the algorithms can often estimate ground motion better than source parameters. To improve EEW, our work suggests revisiting the current algorithm weighting in ShakeAlert, to continue developments that focus on using ground‐motion data to aggregate alerts from multiple algorithms, and to investigate methods to optimally leverage algorithm ground‐motion estimates. For testing and certification of EEW performance in ShakeAlert and other EEW systems where applicable, we also suggest that 25 of our 73 scenarios become part of the baseline data set.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220220088","usgsCitation":"Bose, M., Andrews, J., O’Rourke, C.T., Kilb, D.L., Lux, A., Bunn, J., and McGuire, J., 2023, Testing the ShakeAlert earthquake early warning system using synthesized earthquake sequences: Seismological Research Letters, v. 94, no. 1, p. 243-259, https://doi.org/10.1785/0220220088.","productDescription":"17 p.","startPage":"243","endPage":"259","ipdsId":"IP-141699","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":407778,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.12875665417036,\n 32.529141687918056\n ],\n [\n -114.63698449380014,\n 32.72614838079981\n ],\n [\n -114.48442701459375,\n 32.93979339517037\n ],\n [\n -114.66749598964131,\n 33.12737512996701\n ],\n [\n -114.66749598964131,\n 33.365536989744484\n ],\n [\n -114.50476801182128,\n 33.79765966999783\n ],\n [\n -114.37255152984241,\n 34.135061265713915\n ],\n [\n -114.16914155756731,\n 34.269646597615036\n ],\n [\n -114.62681399518621,\n 35.006011225518876\n ],\n [\n -116.50835623873114,\n 36.49168810234471\n ],\n [\n -121.76650402204325,\n 36.26240794936248\n ],\n [\n -120.71894266482627,\n 35.105916993794835\n ],\n [\n -120.92235263710137,\n 34.546539072317\n ],\n [\n -120.92235263710137,\n 34.303292988567804\n ],\n [\n -120.8816706426466,\n 33.79765966999783\n ],\n [\n -119.4171188422655,\n 32.477677373072126\n ],\n [\n -117.12875665417036,\n 32.529141687918056\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"94","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-09-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Bose, Maren","contributorId":222639,"corporation":false,"usgs":false,"family":"Bose","given":"Maren","email":"","affiliations":[{"id":40575,"text":"Swiss Seismological Service, Swiss Federal Institute of Technology Zürich (ETH Zürich), Zürich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":853549,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrews, Jennifer","contributorId":187764,"corporation":false,"usgs":false,"family":"Andrews","given":"Jennifer","affiliations":[],"preferred":false,"id":853550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Rourke, Colin T 0000-0001-5403-4685","orcid":"https://orcid.org/0000-0001-5403-4685","contributorId":290635,"corporation":false,"usgs":true,"family":"O’Rourke","given":"Colin","email":"","middleInitial":"T","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":853551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kilb, Deborah L.","contributorId":216380,"corporation":false,"usgs":false,"family":"Kilb","given":"Deborah","email":"","middleInitial":"L.","affiliations":[{"id":37799,"text":"SCRIPPS","active":true,"usgs":false}],"preferred":false,"id":853552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lux, Angela","contributorId":297155,"corporation":false,"usgs":false,"family":"Lux","given":"Angela","email":"","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":853553,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bunn, Julian","contributorId":216379,"corporation":false,"usgs":false,"family":"Bunn","given":"Julian","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":853554,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McGuire, Jeffrey J. 0000-0001-9235-2166","orcid":"https://orcid.org/0000-0001-9235-2166","contributorId":219786,"corporation":false,"usgs":true,"family":"McGuire","given":"Jeffrey J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":853555,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70256632,"text":"70256632 - 2023 - Abundance-occupancy patterns of black bass in an impounded river","interactions":[],"lastModifiedDate":"2024-08-27T16:19:28.491506","indexId":"70256632","displayToPublicDate":"2022-09-20T11:11:36","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Abundance-occupancy patterns of black bass in an impounded river","docAbstract":"A positive relationship has been documented for a wide diversity of taxa between the percentage of transects sampled in which a species is recorded (i.e., occupancy) and the average abundance of the species at transects where recorded. This positive relationship implies that abundance increases faster than occupancy, so populations that occupy more sites also tend to occupy them at higher abundances. Plainly, there is a limit to the sites available for a species to occupy, so as the population expands numerically, abundance at a site must also increase. The pattern may differ across species and geography depending on aspects such as species vital rates, resource use, and resource availability. I investigated abundance–occupancy patterns of three black basses Micropterus spp. in reservoirs of the mainstem Tennessee River, USA. The data set included relative abundance estimates made at 7,237 sites in nine reservoirs sampled during 1997–2018, for 43,243 black bass, including 67% Largemouth Bass Micropterus salmoides, 14% Smallmouth Bass M. dolomieu, and 19% Spotted Bass M. punctulatus. As relative abundance increased due to natural annual population fluctuations, occupancy also increased, but faster for Largemouth Bass and more slowly for Smallmouth Bass and Spotted Bass. Largemouth Bass spread abundance more thinly over many sites, and Smallmouth Bass and Spotted Bass spread abundance more thickly over fewer sites. The recognition that black bass populations that decline in occupancy face the additional burden of disproportionally larger decreases in abundance per site, or that black bass that decline in abundance per site face decreases in occupancy, has various conservation and habitat management implications.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/fsh.10839","usgsCitation":"Miranda, L.E., 2023, Abundance-occupancy patterns of black bass in an impounded river: Fisheries Magazine, v. 48, no. 1, p. 29-37, https://doi.org/10.1002/fsh.10839.","productDescription":"9 p.","startPage":"29","endPage":"37","ipdsId":"IP-137964","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":445426,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fsh.10839","text":"Publisher Index Page"},{"id":433205,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Georgia, Kentucky, Mississippi, North Carolina, Tennessee, Virginia","otherGeospatial":"Tennessee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.51831141093221,\n 35.17213463864647\n ],\n [\n -80.29834780281698,\n 37.3753674850671\n ],\n [\n -82.08385156173836,\n 36.851533341166785\n ],\n [\n -84.1055592223345,\n 36.473202359426324\n ],\n [\n -84.79636517937904,\n 36.154121202168554\n ],\n [\n -85.30188507516615,\n 35.601194925841924\n ],\n [\n -85.95061532416173,\n 35.402289193777634\n ],\n [\n -87.42526534692949,\n 35.40224034005327\n ],\n [\n -87.77087113180701,\n 36.242548221501394\n ],\n [\n -87.72037388310109,\n 36.95958455464218\n ],\n [\n -88.40292522706517,\n 37.168037652329204\n ],\n [\n -88.72311956270738,\n 37.006711794546405\n ],\n [\n -88.6388154242051,\n 35.34035627790165\n ],\n [\n -88.28490090405815,\n 34.7193901919844\n ],\n [\n -86.49011524065774,\n 34.12174705237837\n ],\n [\n -85.48751726389709,\n 34.61564094795365\n ],\n [\n -84.05191776424546,\n 35.049424366433044\n ],\n [\n -82.51702712914107,\n 35.26411210649212\n ],\n [\n -80.51831141093221,\n 35.17213463864647\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"48","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-10-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908403,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70237047,"text":"70237047 - 2023 - Juvenile sea lamprey (Petromyzon marinus) have a wide window of elevated salinity tolerance that is eventually limited during springtime warming","interactions":[],"lastModifiedDate":"2023-01-18T16:44:42.889372","indexId":"70237047","displayToPublicDate":"2022-09-20T10:32:10","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Juvenile sea lamprey (Petromyzon marinus) have a wide window of elevated salinity tolerance that is eventually limited during springtime warming","title":"Juvenile sea lamprey (Petromyzon marinus) have a wide window of elevated salinity tolerance that is eventually limited during springtime warming","docAbstract":"The present study examined changes in biometric characteristics, osmoregulatory capacity, and seawater (SW) tolerance of juvenile sea lamprey (Petromyzon marinus) throughout the varying thermal changes from late autumn to late spring. Body length, mass, and condition factor were maintained until April, when significant declines in mass and condition factor were observed to correspond with increases in temperature. Nearly 100% survival in SW was maintained through April. In May, after river and estuarine temperatures had increased, significant mortality in SW (up to 50%) was observed. After SW acclimation, plasma chloride was maintained at an elevated set point, and gill Na+/K+-ATPase activity was elevated. Neither parameter appeared to be affected during springtime warming. Together, these results provide a first characterization of the sustained osmoregulatory performance of juvenile sea lamprey after metamorphosis and show that the window of increased hypo-osmoregulatory performance for SW entry lasts for at least 5 months but may ultimately be limited by increases in river water temperatures in late spring.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2022-0097","usgsCitation":"Shaugnessy, C.A., and McCormick, S.D., 2023, Juvenile sea lamprey (Petromyzon marinus) have a wide window of elevated salinity tolerance that is eventually limited during springtime warming: Canadian Journal of Fisheries and Aquatic Sciences, v. 80, no. 1, p. 105-114, https://doi.org/10.1139/cjfas-2022-0097.","productDescription":"10 p.","startPage":"105","endPage":"114","ipdsId":"IP-141288","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":407514,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shaugnessy, Ciaran A.","contributorId":206857,"corporation":false,"usgs":false,"family":"Shaugnessy","given":"Ciaran","email":"","middleInitial":"A.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":853167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":853168,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70236793,"text":"70236793 - 2023 - Interspecific interactions among three species of sea turtle using a common resting area","interactions":[],"lastModifiedDate":"2023-06-08T14:52:35.088334","indexId":"70236793","displayToPublicDate":"2022-09-19T08:16:32","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Interspecific interactions among three species of sea turtle using a common resting area","docAbstract":"No abstract available.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.3861","usgsCitation":"Lamont, M.M., Alday, J.A., and Arends, C.L., 2023, Interspecific interactions among three species of sea turtle using a common resting area: Ecology, v. 104, no. 1, e3861, 5 p.; Data Release, https://doi.org/10.1002/ecy.3861.","productDescription":"e3861, 5 p.; Data Release","ipdsId":"IP-139960","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":445430,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.3861","text":"Publisher Index Page"},{"id":406951,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417827,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N8UQ43"}],"country":"United States","state":"Florida","otherGeospatial":"Gulf of Mexico, St. Joseph Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.352783203125,\n 29.669559150353546\n ],\n [\n -85.33493041992186,\n 29.681490894271903\n ],\n [\n -85.30471801757812,\n 29.686263195364013\n ],\n [\n -85.29991149902344,\n 29.732185003867347\n ],\n [\n -85.29922485351562,\n 29.770933812888945\n ],\n [\n -85.29647827148438,\n 29.77689383842361\n ],\n [\n -85.2978515625,\n 29.81085920949646\n ],\n [\n -85.308837890625,\n 29.822178437464547\n ],\n [\n -85.30815124511719,\n 29.831709424815333\n ],\n [\n -85.31845092773438,\n 29.848386465108774\n ],\n [\n -85.33424377441405,\n 29.85315082227617\n ],\n [\n -85.35552978515625,\n 29.897805610155874\n ],\n [\n -85.38917541503905,\n 29.878755346037977\n ],\n [\n -85.4132080078125,\n 29.859105948995914\n ],\n [\n -85.41664123535156,\n 29.827539729697882\n ],\n [\n -85.40496826171874,\n 29.76258918131107\n ],\n [\n -85.37818908691406,\n 29.693421222137395\n ],\n [\n -85.352783203125,\n 29.669559150353546\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"104","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lamont, Margaret M. 0000-0001-7520-6669 mlamont@usgs.gov","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":4525,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","email":"mlamont@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":852176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alday, Joseph A. 0000-0003-2275-5458","orcid":"https://orcid.org/0000-0003-2275-5458","contributorId":296688,"corporation":false,"usgs":true,"family":"Alday","given":"Joseph","email":"","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":852177,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arends, Carson L. 0000-0001-9962-8647","orcid":"https://orcid.org/0000-0001-9962-8647","contributorId":296689,"corporation":false,"usgs":true,"family":"Arends","given":"Carson","email":"","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":852178,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70242663,"text":"70242663 - 2023 - Nest remains are insufficient to identify predators of waterfowl nests","interactions":[],"lastModifiedDate":"2023-04-12T11:56:37.619424","indexId":"70242663","displayToPublicDate":"2022-09-19T06:55:27","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3777,"text":"Wildlife Research","active":true,"publicationSubtype":{"id":10}},"title":"Nest remains are insufficient to identify predators of waterfowl nests","docAbstract":"Context: Nest predation is a leading cause of nest failure for most ground-nesting birds. Methods that allow for accurate classification of fate and identification of predators are important for understanding productivity and conservation strategies. Past studies have used a visual inspection of nest remains to determine nest fate and predict predator identity. Most formal assessments of these methods have addressed small-bodied birds nesting in trees or shrubs, and have revealed that use of evidence at nests can be relatively accurate for determining nest fate but may lead to incorrect conclusions regarding predator identity. However, few have tested the latter hypothesis for larger ground-nesting birds with precocial young.
Aim: We aimed to evaluate a classification system developed for determining nest fate and identifying predators of waterfowl nests, at both the scale of individual nests and across the study area.
Methods: From 2016 to 2020, we located 989 blue-winged teal (Spatula discors), mallard (Anas platyrhynchos) and gadwall (Mareca strepera) nests in central North Dakota. We placed cameras at a subset of 249 nests and recorded evidence of nest remains at depredated nests.
Key results: The most common predators were American badgers (Taxidea taxus), followed by striped skunks (Mephitis mephitis), raccoons (Procyon lotor) and red foxes (Vulpes vulpes). Using evidence of nest remains, we determined nest fates with high accuracy (98.0%). However, evidence of nest remains was only sufficient for identifying predators at 50% of nests, and the classification system was correct only 69.7% of the time. The predicted proportion of predators across the study area differed between the classification system and our video evidence as well.
Conclusions: The accuracy of predator identifications based upon the classification system that we evaluated was not supported at any scale.
Implications: Our results suggest that evidence of nest remains can be used to determine nest fate for large-bodied precocial, ground-nesting birds, but accurate identification of nest predators will require alternative methods such as nest cameras.
","language":"English","publisher":"CSIRO","doi":"10.1071/WR22042","usgsCitation":"Kemink, K.M., Kuechle, K.J., Sieges, M., Krohn, S., Isaacson, C., Palarski, J., Conrad, N., Nelson, A., Liu, B., Buhl, T.K., and Ellis-Felege, S., 2023, Nest remains are insufficient to identify predators of waterfowl nests: Wildlife Research, v. 50, no. 3, p. 182-189, https://doi.org/10.1071/WR22042.","productDescription":"8 p.","startPage":"182","endPage":"189","ipdsId":"IP-128667","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":445431,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/wr22042","text":"Publisher Index Page"},{"id":415648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Kemink, Kaylan M. 0000-0002-1404-0690","orcid":"https://orcid.org/0000-0002-1404-0690","contributorId":304103,"corporation":false,"usgs":false,"family":"Kemink","given":"Kaylan","email":"","middleInitial":"M.","affiliations":[{"id":36215,"text":"Ducks Unlimited","active":true,"usgs":false}],"preferred":false,"id":869254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuechle, Kyle J.","contributorId":205357,"corporation":false,"usgs":false,"family":"Kuechle","given":"Kyle","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":869255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sieges, Mason L.","contributorId":304104,"corporation":false,"usgs":false,"family":"Sieges","given":"Mason L.","affiliations":[{"id":36215,"text":"Ducks Unlimited","active":true,"usgs":false}],"preferred":false,"id":869256,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krohn, Sam","contributorId":304105,"corporation":false,"usgs":false,"family":"Krohn","given":"Sam","email":"","affiliations":[{"id":65970,"text":"Ducks Unlimited, University of North Dakota","active":true,"usgs":false}],"preferred":false,"id":869257,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Isaacson, Cailey","contributorId":304107,"corporation":false,"usgs":false,"family":"Isaacson","given":"Cailey","email":"","affiliations":[{"id":65970,"text":"Ducks Unlimited, University of North Dakota","active":true,"usgs":false}],"preferred":false,"id":869258,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Palarski, John","contributorId":304108,"corporation":false,"usgs":false,"family":"Palarski","given":"John","email":"","affiliations":[{"id":65970,"text":"Ducks Unlimited, University of North Dakota","active":true,"usgs":false}],"preferred":false,"id":869259,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Conrad, Nick","contributorId":304110,"corporation":false,"usgs":false,"family":"Conrad","given":"Nick","email":"","affiliations":[{"id":65970,"text":"Ducks Unlimited, University of North Dakota","active":true,"usgs":false}],"preferred":false,"id":869260,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nelson, Allicyn","contributorId":304111,"corporation":false,"usgs":false,"family":"Nelson","given":"Allicyn","email":"","affiliations":[{"id":65970,"text":"Ducks Unlimited, University of North Dakota","active":true,"usgs":false}],"preferred":false,"id":869261,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liu, Boyang","contributorId":274865,"corporation":false,"usgs":false,"family":"Liu","given":"Boyang","email":"","affiliations":[],"preferred":false,"id":869262,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Buhl, Thomas K. 0000-0001-9909-3419 tbuhl@usgs.gov","orcid":"https://orcid.org/0000-0001-9909-3419","contributorId":3934,"corporation":false,"usgs":true,"family":"Buhl","given":"Thomas","email":"tbuhl@usgs.gov","middleInitial":"K.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":869263,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ellis-Felege, Susan N.","contributorId":244128,"corporation":false,"usgs":false,"family":"Ellis-Felege","given":"Susan N.","affiliations":[{"id":17628,"text":"University of North Dakota","active":true,"usgs":false}],"preferred":false,"id":869264,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70256637,"text":"70256637 - 2023 - Variation in Prairie Chub hatch relationships across wet and dry years in the upper Red River basin","interactions":[],"lastModifiedDate":"2024-08-28T11:03:02.81242","indexId":"70256637","displayToPublicDate":"2022-09-19T06:00:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Variation in Prairie Chub hatch relationships across wet and dry years in the upper Red River basin","docAbstract":"The Prairie Chub Macrhybopsis australis is a poorly studied minnow species endemic to the upper Red River basin and is of both state and federal conservation interest due to uncertainty about its life history and potential listing status. The upper Red River basin of Oklahoma and Texas is a harsh environment where drought and extreme flow events are exacerbated by human alterations. As an assumed pelagic-broadcast-spawning minnow, the Prairie Chub is capable of a protracted spawning season and larval fish survival is assumed to be linked to discharge and streamflow variability.
We systematically collected 2,017 age-0 Prairie Chub from seven sites (North Fork Red River, Salt Fork Red River, Pease River, Red River, Prairie Dog Town Fork Red River, North Wichita River, and South Wichita River) with variable flow patterns during April–September 2019 and May–August 2020. We used otolith age estimates and back calculations to determine successful spawning dates. We used a hurdle model framework to examine relationships between hatch probability and hatch frequency.
Hatch probability had a negative relationship with calendar day and declined as calendar day increased. Hatch counts peaked in late June and early July and declined thereafter in 2019 but showed no discernible peak during the spawning season in 2020. Hatch probability during the spawning season increased with relative flow and air temperature. Increased hatch counts were also positively related to discharge variability (CV) for the 10 d prior to hatch dates.
Our findings indicated that successful hatches had considerable spatial and temporal variability, with some sites contributing minimally to the population during some years. Spatial and temporal variability of hatch probability and hatch frequencies pose a variety of considerations for future conservation and management efforts, particularly given the pending federal listing status of the species.
In 2019, the Maryland Department of Agriculture's Winter Cover Crop Program introduced a delayed termination incentive (after May 1) to promote springtime biomass accumulation. We used satellite imagery calibrated with springtime in situ measurements collected from 2006–2021 (n = 722) to derive biomass estimates for Maryland fields planted to cereal cover crop species (286,200 ha total over two seasons). Cover crop C content remained steady throughout the cover crop growing season (42.6% of biomass), whereas N concentration had an inverse relationship with biomass and ranged from 1.7 to 2.9%. Throughout Maryland, delayed termination fields (n = 19,120; average termination of May 18) were, on average, estimated to accumulate an additional 789 kg of biomass, 15 kg of N, and 336 kg of C per hectare when compared to fields associated with standard termination dates (n = 28,811; average termination of April 16). Over two cover crop seasons (2019–2021), the delayed termination incentive yielded an extra 75,660,000 kg biomass, 1,526,000 kg N, and 32,230,000 kg C across 96,040 hectares. Regularly terminated field incentives cost an average of US$0.10 per kg of biomass and $4.09 per kg of N, with variability associated with agronomic management (species, planting method). Delayed termination fields cost of $0.08 per kg of biomass and $3.51 per kg of N. Late-planted cover crops that were terminated early had minimal environmental benefit, and wheat, which comprised 68% of cover crop area, performed poorly compared with other cereal species. Our findings demonstrate that substantial additional springtime biomass, C, and N accumulation were achieved through the delayed termination incentive.
The Glen Torridon (GT) region is positioned in terrains with strong clay mineral signatures, as inferred from orbital spectroscopy. The GT campaign confirmed orbital distinctions with in situ measurements by the Mars Science Laboratory rover, Curiosity, and the CheMin X-ray diffraction instrument with of some of the highest clay mineral abundances to date. Additionally, GT is unique because of distinct phase identifications for the first time by CheMin, including: (i) Fe-carbonates, and (ii) a novel peak in the XRD patterns of some GT samples, with an interplanar spacing of at 9.2 Å. Fe-carbonates have been previously suggested from other instruments onboard, but this is the first definitive reporting by CheMin of multiple samples with Fe-carbonate. This new phase has never been observed in Gale crater with the CheMin instrument and may be a new mineral for Mars, but discrete identification still remains enigmatic because no single phase on Earth is able to account the mineralogical, geochemical, and sedimentological constraints in the GT region. Here, we modeled XRD profiles and propose an interstratified clay mineral, specifically greenalite-minnesotaite (G-M), as a reasonable candidate. The coexistence of Fe-carbonate and Fe-rich clay minerals in the GT samples, supports a conceptual model of a lacustrine groundwater mixing environment in the ancient Gale crater lake. Groundwater interaction with percolating lake waters in the sediments is common in terrestrial lacustrine settings, and the diffusion of two distinct water bodies within the subsurface can create a geochemical gradient and unique mineral front in the sediments. Ultimately, the proximity to this mixing zone controlled the secondary minerals preserved in the Jura, Knockfarril Hill, and Glasgow members of the Mt. Sharp group exposed in GT.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021JE007099","usgsCitation":"Thorpe, M.T., Bristow, T.F., Rampe, E., Tosca, N., Grotzinger, J.P., Bennett, K.A., Achilles, C., Blake, D.F., Chipera, S.J., Downs, G., Downs, R.T., Morrison, S.M., Tu, V., Castle, N., Craig, P., Des Marais, D.J., Hazen, R.M., Ming, D.W., Morris, R.V., Treiman, A.H., Vaniman, D.T., Yen, A.S., Vasavada, A.R., Dehouck, E., Bridges, J., Berger, J., McAdam, A., Peretyazhko, T., Siebach, K., Bryk, A.B., Fox, V.F., and Fedo, C.M., 2023, Mars Science Laboratory CheMin data from the Glen Torridon region and the significance of lake-groundwater interactions in interpreting mineralogy and sedimentary history: Journal of Geophysical Research E: Planets, v. 127, e2021JE007099, 33 p., https://doi.org/10.1029/2021JE007099.","productDescription":"e2021JE007099, 33 p.","ipdsId":"IP-132887","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":445437,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021je007099","text":"Publisher Index Page"},{"id":421608,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gale crater, Mars","volume":"127","noUsgsAuthors":false,"publicationDate":"2022-11-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Thorpe, Michael T.","contributorId":261804,"corporation":false,"usgs":false,"family":"Thorpe","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":53022,"text":"Jacobs Technology","active":true,"usgs":false}],"preferred":false,"id":885104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bristow, T. 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Numerical simulations of groundwater inundation effects on coastal and island aquifers have been limited by an inability to simulate solute transport and variable density flow between the aquifer and lakes formed by groundwater inundation. Consequently, we contributed to the development of a new tool, the Lake Transport Package, for MODFLOW 6 that can calculate solute concentrations within lakes and allows for variable density flow between lakes and aquifers. Here we use groundwater inundation as an example application to showcase the functionality of the Lake Transport Package and the advantages of using this tool over past methods of representing groundwater inundation. We developed hypothetical island simulations based on hydrogeological characteristics of the Bahamas. Multiple sea level rise and lake evaporation rates were simulated to evaluate the effects of groundwater inundation on freshwater lens size for different climates. The results demonstrate the ability of the Lake Transport Package to calculate the solute concentration of the lake for transient simulations, including hypersaline concentrations. Higher sea level rise and greater lake evaporation rates lead to a greater loss of the freshwater lens and higher lake salinity. The formation of a lake and corresponding expansion due to groundwater inundation increases the loss of freshwater by 6–36%, depending on the lake evaporation rate. These simulations validate the performance and demonstrate usefulness of the Lake Transport Package as a tool in representing groundwater inundation.
Climate change is occurring rapidly in the Arctic, and an improved understanding of the response of aquatic biota and ecosystems will be important for this data-limited region. Here, we applied biochronology techniques and mixed-effects modelling to assess relationships among growth increments found on lake trout (Salvelinus namaycush) otoliths (N = 49) captured from 13 lakes on the Arctic Coastal Plain of northern Alaska, observed and modelled climate patterns, and individual-level fish and lake characteristics. We found that annual growth varied by year, fish growth slowed significantly as individuals aged, and females grew faster than males. Lake trout had higher growth in flow-through lakes relative to lakes that were perennially or seasonally connected. Annual growth was positively correlated with observed air temperature measurements from a local weather station for the period 1998–2014, but no clear warming trend was evident for this period. Modelled August air temperatures from 1978–2014 predicted lake trout annual growth (root mean squared error = 0.045 mm) and indicated increasing temperatures and annual lake trout growth over the period 1950–2014. This study demonstrated that biochronology techniques can reconstruct recent climate patterns and provide a better understanding of trends in Arctic lake ecosystems under a changing climate.
","language":"English","publisher":"Wiley","doi":"10.1111/eff.12678","usgsCitation":"Torvinen, E., Falke, J.A., Arp, C.D., Jones, B.M., Whitman, M.S., and Zimmerman, C.E., 2023, Lake trout (Salvelinus namaycush) otoliths indicate effects of climate and lake morphology on growth patterns in Arctic lakes: Ecology of Freshwater Fish, v. 32, no. 1, p. 166-180, https://doi.org/10.1111/eff.12678.","productDescription":"15 p.","startPage":"166","endPage":"180","ipdsId":"IP-103948","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -151,\n 70.5\n ],\n [\n -154,\n 70.5\n ],\n [\n -154,\n 69.5\n ],\n [\n -151,\n 69.5\n ],\n [\n -151,\n 70.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"32","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Torvinen, Eric","contributorId":191061,"corporation":false,"usgs":false,"family":"Torvinen","given":"Eric","email":"","affiliations":[],"preferred":false,"id":935556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arp, Christopher D.","contributorId":17330,"corporation":false,"usgs":false,"family":"Arp","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":935557,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Benjamin M.","contributorId":305542,"corporation":false,"usgs":false,"family":"Jones","given":"Benjamin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":935558,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitman, Matthew S.","contributorId":338574,"corporation":false,"usgs":false,"family":"Whitman","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":81170,"text":"Arctic Field Office","active":true,"usgs":false}],"preferred":false,"id":935559,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":935555,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70248374,"text":"70248374 - 2023 - Yellowstone Grizzly Bear Investigations 2022: Annual Report of the Interagency Grizzly Bear Study Team","interactions":[],"lastModifiedDate":"2023-09-28T15:11:48.022778","indexId":"70248374","displayToPublicDate":"2022-09-11T07:15:42","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Yellowstone Grizzly Bear Investigations 2022: Annual Report of the Interagency Grizzly Bear Study Team","docAbstract":"No abstract available.
","language":"English","publisher":"Interagency Grizzly Bear Committee","collaboration":"Wyoming Game and Fish Department; National Park Service; U.S. Fish and Wildlife Service; Montana Fish, Wildlife and Parks; U.S. Forest Service; Idaho Department of Fish and Game; Eastern Shoshone and Northern Arapaho Tribal Fish and Game Department","usgsCitation":"2023, Yellowstone Grizzly Bear Investigations 2022: Annual Report of the Interagency Grizzly Bear Study Team, vi, 130 p.","productDescription":"vi, 130 p.","ipdsId":"IP-156582","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":420690,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://igbconline.org/wp-content/uploads/2023/09/Yellowstone-Grizzly-Bear-Investigations-2022-IGBST-Annual-Report.pdf"},{"id":420701,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"http://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.22659571734529,\n 45.733731980017836\n ],\n [\n -112.22659571734529,\n 42.14537815911669\n ],\n [\n -108.31714026764165,\n 42.14537815911669\n ],\n [\n -108.31714026764165,\n 45.733731980017836\n ],\n [\n -112.22659571734529,\n 45.733731980017836\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":882745,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":882746,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Karabensh, Bryn 0000-0002-2052-5256","orcid":"https://orcid.org/0000-0002-2052-5256","contributorId":219113,"corporation":false,"usgs":true,"family":"Karabensh","given":"Bryn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":882747,"contributorType":{"id":2,"text":"Editors"},"rank":3}]}} ,{"id":70240169,"text":"70240169 - 2023 - A novel origin for PGE reefs: A case study of the J-M Reef","interactions":[],"lastModifiedDate":"2023-02-22T15:54:25.079132","indexId":"70240169","displayToPublicDate":"2022-09-08T09:52:27","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A novel origin for PGE reefs: A case study of the J-M Reef","docAbstract":"The origin of meter scale stratiform layers of disseminated sulfides in enriched platinum group element (PGE) tenors and grades, called reef-type deposits, are the world’s most significant source of PGEs. Their origin in layered mafic intrusions remains debated, but in general, most researchers favor an orthomagmatic origin for reef-type deposits and agree that their formation requires the equilibration of an immiscible sulfide liquid with a significantly larger mass of silicate magma (i.e., silicate:sulfide mass ratios of 104 to 106). However, where, and how this chemical equilibration process takes place in the magmatic system is poorly constrained. In this contribution, we propose a new model for the origin of PGE reef deposits. We demonstrate that finely disseminated, resident sulfide liquid hosted within cumulate mush can be upgraded by incoming batches of S-undersaturated and PGE-undepleted silicate melt. We demonstrate this model through a case study of the J-M Reef deposit of the Stillwater Complex, the world’s highest-grade PGE deposit (14 ppm Pd over 1.8 m).","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Applied Earth Science","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"language":"English","publisher":"Taylor & Francis Online","doi":"10.1080/25726838.2022.2084233","usgsCitation":"Jenkins, M., Mungall, J.E., Zientek, M., Costin, G., and Yao, Z., 2023, A novel origin for PGE reefs: A case study of the J-M Reef, in Applied Earth Science, v. 131, no. 3, p. 147-148, https://doi.org/10.1080/25726838.2022.2084233.","productDescription":"2 p.","startPage":"147","endPage":"148","ipdsId":"IP-138074","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":413287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"131","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-09-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Jenkins, Michael 0000-0002-4261-409X mjenkins@usgs.gov","orcid":"https://orcid.org/0000-0002-4261-409X","contributorId":172433,"corporation":false,"usgs":true,"family":"Jenkins","given":"Michael","email":"mjenkins@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":862833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mungall, James E. 0000-0001-9726-8545","orcid":"https://orcid.org/0000-0001-9726-8545","contributorId":269537,"corporation":false,"usgs":false,"family":"Mungall","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":862834,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zientek, Michael L. 0000-0002-8522-9626","orcid":"https://orcid.org/0000-0002-8522-9626","contributorId":210763,"corporation":false,"usgs":true,"family":"Zientek","given":"Michael L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":862835,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Costin, Gelu 0000-0003-3054-7886","orcid":"https://orcid.org/0000-0003-3054-7886","contributorId":269538,"corporation":false,"usgs":false,"family":"Costin","given":"Gelu","email":"","affiliations":[{"id":7173,"text":"Rice University","active":true,"usgs":false}],"preferred":false,"id":862836,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yao, Zhuo-sen 0000-0002-5075-0745","orcid":"https://orcid.org/0000-0002-5075-0745","contributorId":269539,"corporation":false,"usgs":false,"family":"Yao","given":"Zhuo-sen","email":"","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":862837,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70250894,"text":"70250894 - 2023 - Structural properties of the Southern San Andreas fault zone in northern Coachella Valley from magnetotelluric imaging","interactions":[],"lastModifiedDate":"2024-01-11T13:56:43.841598","indexId":"70250894","displayToPublicDate":"2022-09-08T07:53:16","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Structural properties of the Southern San Andreas fault zone in northern Coachella Valley from magnetotelluric imaging","docAbstract":"The Southern San Andreas fault (SSAF) poses one of the largest seismic risks in California. Yet, there is much ambiguity regarding its deeper structural properties around Coachella Valley, in large part due to the relative paucity of everyday seismicity. Here, we image a multistranded section of the SSAF using a non-seismic method, namely magnetotelluric (MT) soundings, to help inform depth-dependent fault zone geometry, fluid content and porosity. The acquired MT data and resultant inversion models highlight a conductive column encompassing the SSAF zone that includes a 2–3 km wide vertical to steeply northeast dipping conductor down to ∼4 km depth (maximum of ∼1 Ω·m at 2 km depth) and another prominent conductor in the ductile crust (∼1 Ω·m at 12 km depth and slightly southwest of the surface SSAF). We estimate porosities of 18–44 per cent for the conductive uppermost 500 m, a 10–15 per cent porosity at 2 km depth and that small amounts (0.1–3 per cent) of interconnected hypersaline fluids produce the deeper conductor. Located northeast of this conductive region is mostly resistive crust indicating dry crystalline rock that extends down to ∼20 km in places. Most of the local seismicity is associated with this resistive region. Located farther northeast still is a conductive region at >13 km depth and separate from the one to the southwest. The imaged anomalies permit two interpretations. The SSAF zone is vertical to steeply northeast dipping in the upper crust and (1) is near vertical at greater depth creating mostly an impermeable barrier for northeast fluid migration or (2) continues to dip northeast but is relatively dry and resistive up to ∼13 km depth where it manifests as a secondary deep ductile crustal conductor. Taken together with existing knowledge, the first interpretation is more likely but more MT investigations are required.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggac356","usgsCitation":"Share-MacParland, P., Peacock, J., Constable, S.C., Vernon, F.L., and Wang, S., 2023, Structural properties of the Southern San Andreas fault zone in northern Coachella Valley from magnetotelluric imaging: Geophysical Journal International, v. 232, no. 1, p. 694-704, https://doi.org/10.1093/gji/ggac356.","productDescription":"11 p.","startPage":"694","endPage":"704","ipdsId":"IP-124157","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":445442,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/11250/3051610","text":"External Repository"},{"id":424322,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"northern Coachella Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.0,\n 34.25\n ],\n [\n -117.0,\n 33.5\n ],\n [\n -115.75,\n 33.5\n ],\n [\n -115.75,\n 34.25\n ],\n [\n -117.0,\n 34.25\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"232","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-09-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Share-MacParland, Pieter-Ewald 0000-0001-6674-1491","orcid":"https://orcid.org/0000-0001-6674-1491","contributorId":299108,"corporation":false,"usgs":false,"family":"Share-MacParland","given":"Pieter-Ewald","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":891962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peacock, Jared R. 0000-0002-0439-0224","orcid":"https://orcid.org/0000-0002-0439-0224","contributorId":210082,"corporation":false,"usgs":true,"family":"Peacock","given":"Jared R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":891963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Constable, Steve C. 0000-0001-6324-3470","orcid":"https://orcid.org/0000-0001-6324-3470","contributorId":333113,"corporation":false,"usgs":false,"family":"Constable","given":"Steve","email":"","middleInitial":"C.","affiliations":[{"id":79733,"text":"Institute of Geophysics and Planetary Physics, University of California at San Diego","active":true,"usgs":false}],"preferred":false,"id":891964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vernon, Frank L. 0000-0002-9379-4000","orcid":"https://orcid.org/0000-0002-9379-4000","contributorId":333114,"corporation":false,"usgs":false,"family":"Vernon","given":"Frank","email":"","middleInitial":"L.","affiliations":[{"id":79734,"text":"Institute of Geophysics and Planetary Science, University of California at San Diego","active":true,"usgs":false}],"preferred":false,"id":891965,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Shunguo","contributorId":333115,"corporation":false,"usgs":false,"family":"Wang","given":"Shunguo","email":"","affiliations":[{"id":79736,"text":"Department of Electronic Systems, Norwegian University of Science and Technology, Trondheim, Norway","active":true,"usgs":false}],"preferred":false,"id":891966,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70236069,"text":"70236069 - 2023 - Book review: Analytical groundwater modeling: Theory and applications using Python","interactions":[],"lastModifiedDate":"2023-01-18T16:10:54.075806","indexId":"70236069","displayToPublicDate":"2022-09-07T11:56:45","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Analytical groundwater modeling: Theory and applications using Python","docAbstract":"No abstract available.
","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.13250","usgsCitation":"Fienen, M., 2023, Book review: Analytical groundwater modeling: Theory and applications using Python: Groundwater, v. 61, no. 1, p. 4-5, https://doi.org/10.1111/gwat.13250.","productDescription":"2 p.","startPage":"4","endPage":"5","ipdsId":"IP-142834","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":406609,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-09-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":245632,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":849932,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}