The glacial geology and hydrogeology of valley-fill aquifers and their surrounding uplands are described within a 112-square-mile area in southern Otsego and northwestern Delaware Counties, New York, centered around the City of Oneonta. The major valleys include those of the Susquehanna River, Otego Creek, Charlotte Creek, and Schenevus Creek. A variety of data were analyzed to provide a broad picture of the glacial deposits, hydrogeologic framework, aquifer occurrence, and water-resource potential in the area. Both valley-fill and bedrock aquifers are used for water supply within the study area. The valley-fill aquifers consist of coarse-grained stratified drift, are mostly limited to the larger valleys, and have well yields that typically are much greater than those obtained from the bedrock aquifers. The bedrock aquifers generally have lower well yields, are the sole source of groundwater in upland areas, and are tapped in valley areas where sediments are very silty or are absent.
Through and non-through valleys and their orientations relative to ice flow have resulted in a variety of deglacial environments and deposits, some of which depart from glacial stratigraphy typically observed elsewhere in central New York. In comparison to through valleys with low in-valley divides, the regional thinning of ice over the high bedrock divides of the non-through valleys resulted in the earlier and more widespread stagnation of glacial ice, development of dead-ice sinks, and earlier diversion of meltwater from ice north of the divides. As the main through valley in the study area, the Susquehanna River valley is characterized by multiple inferred ice-margin positions with associated outwash deposition or ice-contact deposits. Throughout the study area, valleys orientated parallel or subparallel to the ice flow facilitated the development of long ice tongues; valleys oriented perpendicular to the ice flow led to little ice-tongue development, but they did facilitate the deposition of the extensive kame moraines that now occupy several-mile-long valley reaches. Lacustrine sediments were deposited in proglacial lakes. These sediments underlie most valleys that were oriented parallel and subparallel to ice flow, but they are largely absent in the Charlotte Creek valley, which was oriented perpendicular to the ice flow and now contains an extensive kame moraine. Beneath these lacustrine deposits, sand and gravel were deposited as subaqueous fans, eskers, and the distal parts of delta (kame) terraces, each with variable silt content.
The presence of coarse-grained stratified deposits, their saturated thicknesses, and their recharge potential are the primary controls on aquifer locations in the study area. The most widespread aquifers in the study area consist of sand and gravel and are confined mostly beneath lacustrine deposits. Confined aquifer yields are enhanced by hydraulic connections with unconfined ice-contact deposits along the valley walls, especially where tributary streams cross these deposits and provide additional recharge through streambed infiltration. The Susquehanna River and other large valley creeks provide a potentially large source of recharge to aquifers where groundwater withdrawals from nearby production wells induce infiltration of river water into aquifers. Unconfined aquifers are present where ice-contact deposits extend below the valley floor and are sufficiently saturated. Most surficial outwash deposits in the study area are thinly saturated; thus their water-resource potential is likely to be limited.
The upland areas contain very little stratified drift; therefore, characterization was limited to delineating areas of thick till and thin, or absent, till. Recharge of bedrock aquifers is greatest in areas overlain by thin till or where bedrock is exposed at land surface.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225069","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Heisig, P.M., and Fleisher, P.J., 2022, Glacial geology and hydrogeology of valley-fill aquifers in the Oneonta area, Otsego and Delaware Counties, New York: U.S. Geological Survey Scientific Investigations Report 2022–5069, 35 p., 1 pl., https://doi.org/10.3133/sir20225069.","productDescription":"Report: vii, 35 p.; 1 Plate: 36.00 × 40.00 inches; 1 Figure: 25.00 × 17.00 inches ; Data Releases","numberOfPages":"35","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-118408","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":405214,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RCQS14","text":"USGS data release","linkHelpText":"Geospatial datasets of the glacial geology and hydrogeology of valley-fill aquifers in the Oneonta area, Otsego and Delaware Counties, New York"},{"id":405211,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20225069/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2022-5069"},{"id":405199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5069/coverthb.jpg"},{"id":405219,"rank":10,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2022/5069/sir20225069_plate01.pdf","text":"Plate 1","size":"177 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Map of glacial geology and hydrogeology of valley-fill aquifers in the Oneonta area, Otsego and Delaware Counties, New York [layered pdf; to toggle layers, download the file (right-click and select \"Save link as...\") and open it with Adobe Acrobat Reader]"},{"id":405210,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5069/sir20225069.pdf","text":"Report","size":"12.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5069"},{"id":405212,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5069/sir20225069.XML"},{"id":405213,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5069/images/"},{"id":405218,"rank":9,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2022/5069/sir20225069_fig04a.pdf","text":"Figure 4A","size":"423 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Primary longitudinal hydrogeologic section A.1–A.1′ and secondary longitudinal hydrogeologic section A.2–A.2′ along the Susquehanna River valley, Otsego County, New York"},{"id":405216,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HGQUJL","text":"USGS data release","linkHelpText":"Horizontal-to-vertical spectral ratio (HVSR) soundings in Broome, Chenango, Franklin, Orange, Rensselaer, and Saratoga Counties, New York, and Susquehanna County, Pennsylvania 2010–2019"},{"id":405215,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92NSO7T","text":"USGS data release","linkHelpText":"Horizontal-to-vertical spectral ratio soundings and depth-to-bedrock data for valley-fill aquifers in the Oneonta area, Otsego and Delaware Counties, New York, 2016–2018"}],"country":"United States","state":"New York","county":"Delaware County, Otsego County","otherGeospatial":"Oneonta area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.1667,\n 42.4167\n ],\n [\n -74.9167,\n 42.4167\n ],\n [\n -74.9167,\n 42.5833\n ],\n [\n -75.1667,\n 42.5833\n ],\n [\n -75.1667,\n 42.4167\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349
The use of simple models for response prediction of building structures is preferred in earthquake engineering for risk evaluations at regional scales, as they make computational studies more feasible. The primary impediment in their gainful use presently is the lack of viable methods for quantifying (and reducing upon) the modeling errors/uncertainties they bear. This study presents a Bayesian calibration method wherein the modeling error is embedded into the parameters of the model. The method is specifically described for coupled shear-flexural beam models here, but it can be applied to any parametric surrogate model. The major benefit the method offers is the ability to consider the modeling uncertainty in the forward prediction of any degree-of-freedom or composite response regardless of the data used in calibration. The method is extensively verified using two synthetic examples. In the first example, the beam model is calibrated to represent a similar beam model but with enforced modeling errors. In the second example, the beam model is used to represent the detailed finite element model of a 52-story building. Both examples show the capability of the proposed solution to provide realistic uncertainty estimation around the mean prediction.
","language":"English","publisher":"Wiley","doi":"10.1002/stc.3078","usgsCitation":"Ghahari, S., Sargsyan, K., Celebi, M., and Taciroglu, E., 2022, Quantifying modeling uncertainty in simplified beam models for building response prediction: Structural Control and Health Monitoring, v. 29, no. 11, e3078, https://doi.org/10.1002/stc.3078.","productDescription":"e3078","ipdsId":"IP-139979","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":446722,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1882634","text":"Publisher Index Page"},{"id":407408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"11","noUsgsAuthors":false,"publicationDate":"2022-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Ghahari, S. Farid","contributorId":296977,"corporation":false,"usgs":false,"family":"Ghahari","given":"S. Farid","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":853025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sargsyan, Khachik","contributorId":296978,"corporation":false,"usgs":false,"family":"Sargsyan","given":"Khachik","email":"","affiliations":[{"id":64263,"text":"Sandia Laboratories","active":true,"usgs":false}],"preferred":false,"id":853026,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":853027,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taciroglu, Ertugrul","contributorId":296979,"corporation":false,"usgs":false,"family":"Taciroglu","given":"Ertugrul","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":853028,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70235868,"text":"70235868 - 2022 - The Water Recycling Revolution: Tapping into the future","interactions":[],"lastModifiedDate":"2022-09-15T15:19:15.334305","indexId":"70235868","displayToPublicDate":"2022-08-19T09:18:54","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"The Water Recycling Revolution: Tapping into the future","docAbstract":"The Water Recycling Revolution discusses issues affecting acceptance of water reuse for public supply. The book is useful to water resource, regulatory, and public health professionals interested in the history of successful and unsuccessful attempts to conserve, recycle, and reuse treated municipal wastewater as a public resource. The book is timely given the extended drought conditions throughout much of the American southwest and the almost one billion gallons of water available daily for reuse in southern California alone (Ding, 2022).","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.13243","usgsCitation":"Izbicki, J.A., 2022, The Water Recycling Revolution: Tapping into the future: Groundwater, v. 60, no. 5, p. 581-582, https://doi.org/10.1111/gwat.13243.","productDescription":"2 p.","startPage":"581","endPage":"582","ipdsId":"IP-143606","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":405681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":152474,"corporation":false,"usgs":true,"family":"Izbicki","given":"John","email":"jaizbick@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":849582,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70259623,"text":"70259623 - 2022 - High-resolution marine seismic imaging of the Seattle fault zone: Near surface insights into fault zone geometry, Quaternary deformation, and long-term evolution","interactions":[],"lastModifiedDate":"2024-10-17T12:00:47.133274","indexId":"70259623","displayToPublicDate":"2022-08-19T06:59:31","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"High-resolution marine seismic imaging of the Seattle fault zone: Near surface insights into fault zone geometry, Quaternary deformation, and long-term evolution","docAbstract":"The Seattle fault zone (SFZ) is a north‐directed thrust fault system that underlies the greater Seattle metropolitan area. Evidence of past land level changes, landslides, liquefaction, and a local tsunami indicate that this 70‐km‐long fault system can host up to M 7–7.5 earthquakes. Both the geometry and earthquake recurrence of the SFZ are debated and surveys of the shallow subsurface have not yet been incorporated into deeper crustal‐scale structural interpretations, especially where the SFZ cuts across marine portions of the Puget Lowland. Here we use a new high‐resolution marine seismic reflection dataset to image fault‐related deformation in Quaternary sediments and Tertiary bedrock throughout Puget Sound and Lake Washington. We use this perspective of shallow geology as a link between existing crustal‐scale geophysical insights into fault geometry at depth and paleoseismological observations of faulting at the surface and propose a refined structural model for the SFZ. We interpret that our new seismic reflection data in the Rich Passage area of Puget Sound images evidence of an inactive, south‐dipping strand of the SFZ, which is overprinted by Quaternary folding and slip along north‐dipping backthrusts within the hanging wall of a blind, south‐dipping fault located 6 km farther north. To explain these results, we propose that the SFZ is a normal sequence fault propagation fold that has stepped northward through time, and we show the plausibility of this model through trishear forward modeling. Growth strata and faulting imaged in Quaternary sediments in Lake Washington and Rich Passage are consistent with the spatial distribution of folding and backthrusting that occurred during an M 7–7.5 earthquake in A.D. 900–930, corroborating existing evidence that the SFZ has been active throughout the Quaternary.
Urban wet-weather discharges from combined sewer overflows (CSO) and stormwater outlets (SWO) are a potential pathway for micropollutants (trace contaminants) to surface waters, posing a threat to the environment and possible water reuse applications. Despite large efforts to monitor micropollutants in the last decade, the gained information is still limited and scattered. In a metastudy we performed a data-driven analysis of measurements collected at 77 sites (683 events, 297 detected micropollutants) over the last decade to investigate which micropollutants are most relevant in terms of 1) occurrence and 2) potential risk for the aquatic environment, 3) estimate the minimum number of data to be collected in monitoring studies to reliably obtain concentration estimates, and 4) provide recommendations for future monitoring campaigns. We highlight micropollutants to be prioritized due to their high occurrence and critical concentration levels compared to environmental quality standards. These top-listed micropollutants include contaminants from all chemical classes (pesticides, heavy metals, polycyclic aromatic hydrocarbons, personal care products, pharmaceuticals, and industrial and household chemicals). Analysis of over 30,000 event mean concentrations shows a large fraction of measurements (> 50%) were below the limit of quantification, stressing the need for reliable, standard monitoring procedures. High variability was observed among events and sites, with differences between micropollutant classes. The number of events required for a reliable estimate of site mean concentrations (error bandwidth of 1 around the “true\" value) depends on the individual micropollutant. The median minimum number of events is 7 for CSO (2 to 31, 80%-interquantile) and 6 for SWO (1 to 25 events, 80%-interquantile). Our analysis indicates the minimum number of sites needed to assess global pollution levels and our data collection and analysis can be used to estimate the required number of sites for an urban catchment. Our data-driven analysis demonstrates how future wet-weather monitoring programs will be more effective if the consequences of high variability inherent in urban wet-weather discharges are considered.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2022.118968","usgsCitation":"Mutzner, L., Furrer, V., Castebrunet, H., Dittmer, U., Fuchs, S., Gernjak, W., Gromaire, M., Matzinger, A., Mikkelsen, P.S., Selbig, W.R., and Vezzaro, L., 2022, A decade of monitoring micropollutants in urban wet-weather flows: What did we learn?: Water Research, v. 223, 118968, 14 p., https://doi.org/10.1016/j.watres.2022.118968.","productDescription":"118968, 14 p.","ipdsId":"IP-140246","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":446726,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.watres.2022.118968","text":"Publisher Index Page"},{"id":407377,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"223","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mutzner, Lena","contributorId":296932,"corporation":false,"usgs":false,"family":"Mutzner","given":"Lena","email":"","affiliations":[{"id":50046,"text":"Technical University of Denmark","active":true,"usgs":false}],"preferred":false,"id":852914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Furrer, Viviane","contributorId":296933,"corporation":false,"usgs":false,"family":"Furrer","given":"Viviane","email":"","affiliations":[{"id":64243,"text":"Swiss Federal Institute of Aquatic Science and Technology","active":true,"usgs":false}],"preferred":false,"id":852915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castebrunet, Helene","contributorId":296934,"corporation":false,"usgs":false,"family":"Castebrunet","given":"Helene","email":"","affiliations":[{"id":13426,"text":"University of Lyon","active":true,"usgs":false}],"preferred":false,"id":852916,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dittmer, Ulrich","contributorId":296935,"corporation":false,"usgs":false,"family":"Dittmer","given":"Ulrich","email":"","affiliations":[{"id":64244,"text":"Technical University Kaiserslautern","active":true,"usgs":false}],"preferred":false,"id":852917,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fuchs, Stephan","contributorId":296936,"corporation":false,"usgs":false,"family":"Fuchs","given":"Stephan","email":"","affiliations":[{"id":64245,"text":"Karlsruhe Institute of Technology (KIT)","active":true,"usgs":false}],"preferred":false,"id":852918,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gernjak, Wolfgang","contributorId":296937,"corporation":false,"usgs":false,"family":"Gernjak","given":"Wolfgang","email":"","affiliations":[{"id":64246,"text":"ICRA, Catalan Institute for Water Research","active":true,"usgs":false}],"preferred":false,"id":852919,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gromaire, Marie-Christine","contributorId":296938,"corporation":false,"usgs":false,"family":"Gromaire","given":"Marie-Christine","email":"","affiliations":[{"id":64247,"text":"Leesu, École des Ponts ParisTech","active":true,"usgs":false}],"preferred":false,"id":852920,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Matzinger, Andreas","contributorId":296939,"corporation":false,"usgs":false,"family":"Matzinger","given":"Andreas","email":"","affiliations":[{"id":64248,"text":"Kompetenzzentrum Wasser Berlin (KWB)","active":true,"usgs":false}],"preferred":false,"id":852921,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mikkelsen, Peter Steen","contributorId":296940,"corporation":false,"usgs":false,"family":"Mikkelsen","given":"Peter","email":"","middleInitial":"Steen","affiliations":[{"id":50046,"text":"Technical University of Denmark","active":true,"usgs":false}],"preferred":false,"id":852922,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":852923,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Vezzaro, Luca","contributorId":296941,"corporation":false,"usgs":false,"family":"Vezzaro","given":"Luca","email":"","affiliations":[{"id":50046,"text":"Technical University of Denmark","active":true,"usgs":false}],"preferred":false,"id":852924,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70239339,"text":"70239339 - 2022 - Second round of an interlaboratory comparison of SARS-CoV2 molecular detection assays used by 45 veterinary diagnostic laboratories in the United States","interactions":[],"lastModifiedDate":"2023-01-09T20:26:08.76894","indexId":"70239339","displayToPublicDate":"2022-08-18T14:20:20","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2492,"text":"Journal of Veterinary Diagnostic Investigation","active":true,"publicationSubtype":{"id":10}},"title":"Second round of an interlaboratory comparison of SARS-CoV2 molecular detection assays used by 45 veterinary diagnostic laboratories in the United States","docAbstract":"The COVID-19 pandemic presents a continued public health challenge. Veterinary diagnostic laboratories in the United States use RT-rtPCR for animal testing, and many laboratories are certified for testing human samples; hence, ensuring that laboratories have sensitive and specific SARS-CoV2 testing methods is a critical component of the pandemic response. In 2020, the FDA Veterinary Laboratory Investigation and Response Network (Vet-LIRN) led an interlaboratory comparison (ILC1) to help laboratories evaluate their existing RT-rtPCR methods for detecting SARS-CoV2. All participating laboratories were able to detect the viral RNA spiked in buffer and PrimeStore molecular transport medium (MTM). With ILC2, Vet-LIRN extended ILC1 by evaluating analytical sensitivity and specificity of the methods used by participating laboratories to detect 3 SARS-CoV2 variants (B.1; B.1.1.7 [Alpha]; B.1.351 [Beta]) at various copy levels. We analyzed 57 sets of results from 45 laboratories qualitatively and quantitatively according to the principles of ISO 16140-2:2016. More than 95% of analysts detected the SARS-CoV2 RNA in MTM at ≥500 copies for all 3 variants. In addition, for nucleocapsid markers N1 and N2, 81% and 92% of the analysts detected ≤20 copies in the assays, respectively. The analytical specificity of the evaluated methods was >99%. Participating laboratories were able to assess their current method performance, identify possible limitations, and recognize method strengths as part of a continuous learning environment to support the critical need for the reliable diagnosis of COVID-19 in potentially infected animals and humans.
","language":"English","publisher":"Sage Publications","doi":"10.1177/10406387221115702","usgsCitation":"Deng, K., Uhlig, S., Goodman, L.B., Ip, H., Killiam, M.L., Nemser, S., Ulaszek, J., Kiener, S., Kmet, M., Frost, K., Hettwer, K., Colson, B., Nichani, K., Schlierf, A., Tkachenko, A., Oyinloye, M.M., Andrew, S., Reddy, R., and Tyson, G.H., 2022, Second round of an interlaboratory comparison of SARS-CoV2 molecular detection assays used by 45 veterinary diagnostic laboratories in the United States: Journal of Veterinary Diagnostic Investigation, v. 34, no. 5, p. 825-834, https://doi.org/10.1177/10406387221115702.","productDescription":"10 p.","startPage":"825","endPage":"834","ipdsId":"IP-137189","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":446729,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/10406387221115702","text":"Publisher Index Page"},{"id":411582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Deng, Kaiping","contributorId":264930,"corporation":false,"usgs":false,"family":"Deng","given":"Kaiping","email":"","affiliations":[{"id":54585,"text":"U.S. Food and Drug Administration, Division of Food Processing Science and Technology, 6502 S. Archer Road, Bedford Park, IL 60501","active":true,"usgs":false}],"preferred":false,"id":861168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uhlig, Steffen","contributorId":264931,"corporation":false,"usgs":false,"family":"Uhlig","given":"Steffen","email":"","affiliations":[{"id":54586,"text":"2QuoData – Quality & Statistics, Prellerstr. 14, 01309, Dresden, Germany","active":true,"usgs":false}],"preferred":false,"id":861169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goodman, Laura B.","contributorId":300693,"corporation":false,"usgs":false,"family":"Goodman","given":"Laura","email":"","middleInitial":"B.","affiliations":[{"id":65232,"text":"College of Veterinary Medicine, Cornell University, Ithaca, NY, USA","active":true,"usgs":false}],"preferred":false,"id":861170,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ip, Hon S. 0000-0003-4844-7533","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":126815,"corporation":false,"usgs":true,"family":"Ip","given":"Hon S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":861171,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Killiam, Mary Lea","contributorId":300694,"corporation":false,"usgs":false,"family":"Killiam","given":"Mary","email":"","middleInitial":"Lea","affiliations":[{"id":65233,"text":"National Animal and Plant Health Inspection Service Laboratories, Veterinary Services, U.S. Department of Agriculture, Ames, IA, USA","active":true,"usgs":false}],"preferred":false,"id":861172,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nemser, Sarah","contributorId":264933,"corporation":false,"usgs":false,"family":"Nemser","given":"Sarah","affiliations":[{"id":54587,"text":"U.S. Food and Drug Administration, Center for Veterinary Medicine, 8401 Muirkirk Rd., Laurel, MD 20708","active":true,"usgs":false}],"preferred":false,"id":861173,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ulaszek, Jodie","contributorId":264934,"corporation":false,"usgs":false,"family":"Ulaszek","given":"Jodie","email":"","affiliations":[{"id":54588,"text":"Illinois Institute of Technology, Institute for Food Safety and Health, 6502 South Archer Road, Bedford Park, IL 60501","active":true,"usgs":false}],"preferred":false,"id":861174,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kiener, Shannon","contributorId":300695,"corporation":false,"usgs":false,"family":"Kiener","given":"Shannon","email":"","affiliations":[{"id":65234,"text":"Division of Food Processing Science and Technology, U.S. Food and Drug Administration, Bedford Park, IL, USA","active":true,"usgs":false}],"preferred":false,"id":861175,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kmet, Matthew","contributorId":264937,"corporation":false,"usgs":false,"family":"Kmet","given":"Matthew","email":"","affiliations":[{"id":54585,"text":"U.S. Food and Drug Administration, Division of Food Processing Science and Technology, 6502 S. Archer Road, Bedford Park, IL 60501","active":true,"usgs":false}],"preferred":false,"id":861176,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Frost, Kirstin","contributorId":300696,"corporation":false,"usgs":false,"family":"Frost","given":"Kirstin","email":"","affiliations":[{"id":65235,"text":"QuoData – Quality & Statistics, Dresden, Germany","active":true,"usgs":false}],"preferred":false,"id":861177,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hettwer, Karina","contributorId":264939,"corporation":false,"usgs":false,"family":"Hettwer","given":"Karina","email":"","affiliations":[{"id":54586,"text":"2QuoData – Quality & Statistics, Prellerstr. 14, 01309, Dresden, Germany","active":true,"usgs":false}],"preferred":false,"id":861178,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Colson, Bertrand","contributorId":264940,"corporation":false,"usgs":false,"family":"Colson","given":"Bertrand","email":"","affiliations":[{"id":54586,"text":"2QuoData – Quality & Statistics, Prellerstr. 14, 01309, Dresden, Germany","active":true,"usgs":false}],"preferred":false,"id":861179,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nichani, Kapil","contributorId":264941,"corporation":false,"usgs":false,"family":"Nichani","given":"Kapil","email":"","affiliations":[{"id":54586,"text":"2QuoData – Quality & Statistics, Prellerstr. 14, 01309, Dresden, Germany","active":true,"usgs":false}],"preferred":false,"id":861180,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schlierf, Anja","contributorId":300697,"corporation":false,"usgs":false,"family":"Schlierf","given":"Anja","email":"","affiliations":[{"id":65235,"text":"QuoData – Quality & Statistics, Dresden, Germany","active":true,"usgs":false}],"preferred":false,"id":861181,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Tkachenko, Andriy","contributorId":264943,"corporation":false,"usgs":false,"family":"Tkachenko","given":"Andriy","email":"","affiliations":[{"id":54587,"text":"U.S. Food and Drug Administration, Center for Veterinary Medicine, 8401 Muirkirk Rd., Laurel, MD 20708","active":true,"usgs":false}],"preferred":false,"id":861183,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Oyinloye, Mothomang Mlalazi","contributorId":300699,"corporation":false,"usgs":false,"family":"Oyinloye","given":"Mothomang","email":"","middleInitial":"Mlalazi","affiliations":[{"id":65237,"text":"Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, MD, USA","active":true,"usgs":false}],"preferred":false,"id":861184,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Andrew, Scott","contributorId":300698,"corporation":false,"usgs":false,"family":"Andrew","given":"Scott","email":"","affiliations":[{"id":65236,"text":"Integrated Consortium of Laboratory Networks, Washington, DC, USA","active":true,"usgs":false}],"preferred":false,"id":861182,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Reddy, Ravinder","contributorId":264944,"corporation":false,"usgs":false,"family":"Reddy","given":"Ravinder","email":"","affiliations":[{"id":54585,"text":"U.S. Food and Drug Administration, Division of Food Processing Science and Technology, 6502 S. Archer Road, Bedford Park, IL 60501","active":true,"usgs":false}],"preferred":false,"id":861185,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Tyson, Gregory H.","contributorId":300700,"corporation":false,"usgs":false,"family":"Tyson","given":"Gregory","email":"","middleInitial":"H.","affiliations":[{"id":65238,"text":"); Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, MD, USA","active":true,"usgs":false}],"preferred":false,"id":861186,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70235898,"text":"70235898 - 2022 - Collateral damage: Anticoagulant rodenticides pose threats to California condors","interactions":[],"lastModifiedDate":"2022-08-25T15:53:53.204495","indexId":"70235898","displayToPublicDate":"2022-08-18T10:41:25","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Collateral damage: Anticoagulant rodenticides pose threats to California condors","docAbstract":"Anticoagulant rodenticides (ARs) are widespread environmental contaminants that pose risks to scavenging birds because they routinely occur within their prey and can cause secondary poisoning. However, little is known about AR exposure in one of the rarest avian scavengers in the world, the California condor (Gymnogyps californianus). We assessed AR exposure in California condors and surrogate turkey vultures (Cathartes aura) to gauge potential hazard to a proposed future condor flock by determining how application rate and environmental factors influence exposure. Additionally, we examined whether ARs might be correlated with prolonged blood clotting time and potential mortality in condors. Only second-generation ARs (SGARs) were detected, and exposure was detected in all condor flocks. Liver AR residues were detected in 42% of the condors (27 of 65) and 93% of the turkey vultures (66 of 71). Although concentrations were generally low (<10 ng/g ww), 48% of the California condors and 64% of the turkey vultures exposed to ARs exceeded the 5% probability of exhibiting signs of toxicosis (>20 ng/g ww), and 10% and 13% exceeded the 20% probability of exhibiting signs toxicosis (>80 ng/g ww). There was evidence of prolonged blood clotting time in 16% of the free-flying condors. For condors, there was a relationship between the interaction of AR exposure index (legal use across regions where condors existed) and precipitation, and the probability of detecting ARs in liver. Exposure to ARs may complicate recovery efforts of condor populations within their current range and in the soon to be established northern California experimental population. Continued monitoring of AR exposure using plasma blood clotting assays and residue analysis would allow for an improved understanding of their hazard to condors, particularly if paired with recent movement data that could elucidate exposure sources on the landscape occupied by this endangered species.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2022.119925","usgsCitation":"Herring, G., Eagles-Smith, C., Wolstenholme, R., Welch, A., West, C., and Rattner, B.A., 2022, Collateral damage: Anticoagulant rodenticides pose threats to California condors: Environmental Pollution, v. 311, 119925, 9 p., https://doi.org/10.1016/j.envpol.2022.119925.","productDescription":"119925, 9 p.","ipdsId":"IP-139709","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":446732,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2022.119925","text":"Publisher Index Page"},{"id":435724,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NHPLHX","text":"USGS data release","linkHelpText":"Anticoagulant rodenticide concentrations in blood and tissue of California condors and turkey vultures (ver. 2.0, May 2023)"},{"id":405589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Pinnacles National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.2506103515625,\n 36.39696752441776\n ],\n [\n -121.10229492187501,\n 36.39696752441776\n ],\n [\n -121.10229492187501,\n 36.56370306576917\n ],\n [\n -121.2506103515625,\n 36.56370306576917\n ],\n [\n -121.2506103515625,\n 36.39696752441776\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"311","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":849634,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":849635,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolstenholme, Rachel","contributorId":295522,"corporation":false,"usgs":false,"family":"Wolstenholme","given":"Rachel","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":849636,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Welch, Alacia","contributorId":206083,"corporation":false,"usgs":false,"family":"Welch","given":"Alacia","email":"","affiliations":[{"id":37236,"text":"Pinnacles National Park","active":true,"usgs":false}],"preferred":false,"id":849637,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"West, Chris","contributorId":295524,"corporation":false,"usgs":false,"family":"West","given":"Chris","email":"","affiliations":[{"id":38097,"text":"Yurok Tribe","active":true,"usgs":false}],"preferred":false,"id":849638,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":849639,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70235777,"text":"70235777 - 2022 - How does precipitation variability control bedload response across a mountainous channel network in a maritime climate?","interactions":[],"lastModifiedDate":"2022-08-18T15:04:08.1626","indexId":"70235777","displayToPublicDate":"2022-08-18T09:51:52","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"How does precipitation variability control bedload response across a mountainous channel network in a maritime climate?","docAbstract":"Modeled stream discharge is often used to drive sediment transport models across channel networks. Because sediment transport varies non-linearly with flow rates, discharge modeled from daily total precipitation distributed evenly over 24-hrs may significantly underestimate actual bedload transport capacity. In this study, we assume bedload transport capacity determined from a hydrograph resulting from the use of hourly (1-h) precipitation is a close approximation of actual transport capacity and quantify the error introduced into a network-scale bedload transport model driven by daily precipitation at channel network locations varying from lowland pool-riffle channels to upland colluvial channels in a watershed where snow accumulation and melt can affect runoff processes. Transport capacity is determined using effective stresses and the Wilcock and Crowe (2003) equations and expressed in terms of transport capacity normalized by the bankfull value. We find that, depending on channel network location, cumulative error can range from 10 - 20% to more than two orders of magnitude. Surprisingly, variation in flow rates due to differences in hillslope and channel runoff do not seem to dictate the network locations where the largest errors in predicted bedload transport capacity occur. Rather, spatial variability of the magnitude of the effective-bankfull-excess shear stress and changes in runoff due to snow accumulation and melt exert the greatest influence. These findings have implications for flood-hazard and aquatic habitat models that rely on modeled sediment transport driven by coarse-temporal-resolution climate data.","language":"English","publisher":"Wiley","doi":"10.1029/2021WR030358","usgsCitation":"Keck, J., Istanbulluoglu, E., Lundquist, J., Bandaragoda, C., Jaeger, K.L., Mauger, G.S., and Horner-Devine, A., 2022, How does precipitation variability control bedload response across a mountainous channel network in a maritime climate?: Water Resources Research, v. 58, no. 8, e2021WR030358, 28 p., https://doi.org/10.1029/2021WR030358.","productDescription":"e2021WR030358, 28 p.","ipdsId":"IP-142534","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":405308,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Sauk River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.66671752929688,\n 47.89148526708789\n ],\n [\n -120.69030761718749,\n 47.89148526708789\n ],\n [\n -120.69030761718749,\n 48.47565256743914\n ],\n [\n -121.66671752929688,\n 48.47565256743914\n ],\n [\n -121.66671752929688,\n 47.89148526708789\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"58","issue":"8","noUsgsAuthors":false,"publicationDate":"2022-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Keck, Jeffrey 0000-0002-0646-8574","orcid":"https://orcid.org/0000-0002-0646-8574","contributorId":295347,"corporation":false,"usgs":false,"family":"Keck","given":"Jeffrey","email":"","affiliations":[{"id":63850,"text":"University of Washington; Washington State Dept of Natrual Resources","active":true,"usgs":false}],"preferred":false,"id":849240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Istanbulluoglu, Erkan 0000-0001-9453-4676","orcid":"https://orcid.org/0000-0001-9453-4676","contributorId":295348,"corporation":false,"usgs":false,"family":"Istanbulluoglu","given":"Erkan","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":849241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lundquist, Jessica 0000-0003-2193-5633","orcid":"https://orcid.org/0000-0003-2193-5633","contributorId":295349,"corporation":false,"usgs":false,"family":"Lundquist","given":"Jessica","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":849242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bandaragoda, Christina 0000-0003-1617-1288","orcid":"https://orcid.org/0000-0003-1617-1288","contributorId":295350,"corporation":false,"usgs":false,"family":"Bandaragoda","given":"Christina","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":849243,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jaeger, Kristin L. 0000-0002-1209-8506","orcid":"https://orcid.org/0000-0002-1209-8506","contributorId":206935,"corporation":false,"usgs":true,"family":"Jaeger","given":"Kristin","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":849244,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mauger, Guillaume S.","contributorId":138608,"corporation":false,"usgs":false,"family":"Mauger","given":"Guillaume","email":"","middleInitial":"S.","affiliations":[{"id":12463,"text":"Climate Impacts Group, College of the Environment, University of Washington","active":true,"usgs":false}],"preferred":false,"id":849245,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Horner-Devine, Alex 0000-0003-2323-7150","orcid":"https://orcid.org/0000-0003-2323-7150","contributorId":295351,"corporation":false,"usgs":false,"family":"Horner-Devine","given":"Alex","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":849246,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70235762,"text":"70235762 - 2022 - Natural infrastructure in dryland streams (NIDS) can establish regenerative wetland sinks that reverse desertification and strengthen climate resilience","interactions":[],"lastModifiedDate":"2022-08-18T14:51:15.245065","indexId":"70235762","displayToPublicDate":"2022-08-18T09:43:51","publicationYear":"2022","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":"Natural infrastructure in dryland streams (NIDS) can establish regenerative wetland sinks that reverse desertification and strengthen climate resilience","docAbstract":"In this article we describe the natural hydrogeomorphological and biogeochemical cycles of dryland fluvial ecosystems that make them unique, yet vulnerable to land use activities and climate change. We introduce Natural Infrastructure in Dryland Streams (NIDS), which are structures naturally or anthropogenically created from earth, wood, debris, or rock that can restore implicit function of these systems. This manuscript further discusses the capability of and functional similarities between beaver dams and anthropogenic NIDS, documented by decades of scientific study. In addition, we present the novel, evidence-based finding that NIDS can create wetlands in water-scarce riparian zones, with soil organic carbon stock as much as 200 to 1400 Mg C/ha in the top meter of soil. We identify the key restorative action of NIDS, which is to slow the drainage of water from the landscape such that more of it can infiltrate and be used to facilitate natural physical, chemical, and biological processes in fluvial environments. Specifically, we assert that the rapid drainage of water from such environments can be reversed through the restoration of natural infrastructure that once existed. We then explore how NIDS can be used to restore the natural biogeochemical feedback loops in these systems. We provide examples of how NIDS have been used to restore such feedback loops, the lessons learned from installation of NIDS in the dryland streams of the southwestern United States, how such efforts might be scaled up, and what the implications are for mitigating climate change effects. Our synthesis portrays how restoration using NIDS can support adaptation to and protection from climate-related disturbances and stressors such as drought, water shortages, flooding, heatwaves, dust storms, wildfire, biodiversity losses, and food insecurity.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2022.157738","usgsCitation":"Norman, L., Lal, R., Wohl, E., Fairfax, E., Gellis, A.C., and Pollock, M.M., 2022, Natural infrastructure in dryland streams (NIDS) can establish regenerative wetland sinks that reverse desertification and strengthen climate resilience: Science of the Total Environment, v. 849, 157738, 20 p., https://doi.org/10.1016/j.scitotenv.2022.157738.","productDescription":"157738, 20 p.","ipdsId":"IP-137646","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science 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Chiropterologica","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal activity patterns of bats in high-elevation conifer sky islands","docAbstract":"In the southern Appalachian Mountains of the southeastern USA, bat communities in high-elevation habitats tend to be relatively under-surveyed. High-elevation habitats may provide important habitat to certain species (i.e., migratory tree bats), and may serve as climate refugia during droughts or high temperatures. We conducted an opportunistic acoustic survey of bat communities in ten survey areas in high elevation (1,585–1,920 m a.s.l.) montane Picea rubens (red spruce)-Abies fraseri (Fraser fir) forest in the southern Appalachian Mountains of western North Carolina. In each survey area, we randomly placed three full spectrum acoustic detectors (N = 30) during three seasons (spring, summer and fall) in 2015. We deployed each detector for two five-day periods during each season (n = 900 survey nights). Although we detected seven bat species/groups during the surveys, 73% of echolocation files were attributed to Lasiurus cinereus (hoary bat) and Lasionycteris noctivagans (silver-haired bat). Generally rare in the Appalachians and typically present only at low densities in the summer at mid- and low-elevations, both species were detected at all sites during all seasons. Overall, mean nightly activity of bats was higher in the summer than the spring or fall. We observed 3.7–5 times greater activity of L. cinereus in spruce-fir forests during the summer compared to spring and fall, whereas L. noctivagans had 1.3–5 times more activity in the summer compared to other seasons. After accounting for precipitation events, our finite mixture models showed that season, temperature, elevation, and canopy height influenced L. cinereus activity, whereas season and temperature affected L. noctivagans activity. Our observations suggest that high-elevation spruce-fir forests are providing summer foraging and possibly day-roosting habitat of tree bats not previously documented this far south in North America.
","language":"English","publisher":"Museum and Institute of Zoology at the Polish Academy of Sciences","doi":"10.3161/15081109acc2022.24.1.007","usgsCitation":"Diggins, C., and Ford, W., 2022, Seasonal activity patterns of bats in high-elevation conifer sky islands: Acta Chiropterologica, v. 24, no. 1, p. 91-101, https://doi.org/10.3161/15081109acc2022.24.1.007.","productDescription":"11 p.","startPage":"91","endPage":"101","ipdsId":"IP-121634","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467168,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/111935","text":"External Repository"},{"id":465988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.01925096181063,\n 36.1284749704932\n ],\n [\n -83.75535293883529,\n 36.1284749704932\n ],\n [\n -83.75535293883529,\n 35.0263131090354\n ],\n [\n -82.01925096181063,\n 35.0263131090354\n ],\n [\n -82.01925096181063,\n 36.1284749704932\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"24","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Diggins, Corinne A.","contributorId":270602,"corporation":false,"usgs":false,"family":"Diggins","given":"Corinne A.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":922940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. 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Fluvial sediment samples are integral for addressing these environmental concerns but cannot be collected at every river and time of interest. Therefore, to gain a better understanding for rivers where direct measurements have not been made, extreme gradient boosting machine learning (ML) models were developed and trained to predict suspended sediment and bedload from sampling data collected in Minnesota, United States (U.S.), by the U.S. Geological Survey. Approximately 400 watershed (full upstream area), catchment (nearby landscape), near-channel, channel, and streamflow features were retrieved or developed from multiple sources, reduced to approximately 30 uncorrelated features, and used in the final ML models. The results indicate suspended sediment and bedload ML models explain approximately 70% of the variance in the datasets. Important features used in the models were interpreted with Shapley additive explanation (SHAP) plots, which provided insight into sediment transport processes. The most important features in the models were developed to normalize streamflow by the 2-year recurrence interval and quantify the rate of change in streamflow (slope), which helped account for sediment hysteresis. Generally, this study also showed a combination of mostly watershed and catchment geospatial features were important in ML models that predict sediment transport from physical samples. This study is a promising step forward in making fluvial sediment transport predictions using machine learning models trained by physically collected samples. The approach developed here can be used wherever similar datasets exists and will be useful for landscape and water management.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.14648","usgsCitation":"Lund, J.W., Groten, J.T., Karwan, D.L., and Babcock, C., 2022, Using machine learning to improve predictions and provide insight into fluvial sediment transport: Hydrological Processes, v. 36, no. 8, e14648, 21 p., https://doi.org/10.1002/hyp.14648.","productDescription":"e14648, 21 p.","ipdsId":"IP-133936","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":446739,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.14648","text":"Publisher Index Page"},{"id":435725,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VOPSEJ","text":"USGS data release","linkHelpText":"Extreme gradient boosting machine learning models, suspended sediment, bedload, streamflow, and geospatial data, Minnesota, 2007-2019"},{"id":405305,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"36","issue":"8","noUsgsAuthors":false,"publicationDate":"2022-08-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Lund, J. William 0000-0002-8830-4468","orcid":"https://orcid.org/0000-0002-8830-4468","contributorId":211157,"corporation":false,"usgs":true,"family":"Lund","given":"J.","email":"","middleInitial":"William","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":849194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Groten, Joel T. 0000-0002-0441-8442 jgroten@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-8442","contributorId":173464,"corporation":false,"usgs":true,"family":"Groten","given":"Joel","email":"jgroten@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":849195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karwan, Diana L.","contributorId":207315,"corporation":false,"usgs":false,"family":"Karwan","given":"Diana","email":"","middleInitial":"L.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":849196,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Babcock, Chad","contributorId":150502,"corporation":false,"usgs":false,"family":"Babcock","given":"Chad","email":"","affiliations":[{"id":18039,"text":"Department of Geography, Michigan State University, East Lansing, Michigan USA","active":true,"usgs":false}],"preferred":false,"id":849197,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70248068,"text":"70248068 - 2022 - Application of tail transmitters for tracking feral horses as an alternative to radio collars","interactions":[],"lastModifiedDate":"2023-09-05T14:42:56.079147","indexId":"70248068","displayToPublicDate":"2022-08-18T09:33:57","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Application of tail transmitters for tracking feral horses as an alternative to radio collars","docAbstract":"Radio collars have been used to examine the spatial ecology of all North American ungulates, but are rarely used on feral horses due to concerns that they may cause injury. Due to public concerns for animal welfare, an alternative to radio collars for tracking feral horses, particularly stallions, over the short term would be useful. We developed a method of attaching a global positioning system (GPS) transmitter to feral horse tails, and provide step by step instructions so that others may apply this method. We braided the tail and affixed a transmitter tag to the braid with epoxy, cable ties, and an attachment cord run through the braid. Between 2016 and 2017 we fitted 114 VHF or VHF-GPS tags in the tails of free-roaming feral horses in western Utah. From when tags were fitted to September 2020 tag retention time ranged from <1 to 36 months (n = 111, mean = 8.50 ± SD 6.39 months). We found that our braided, tail-mounted transmitter tags can provide a viable alternative to radio collars for meeting shorter-term data collection needs once data transmission difficulties are overcome.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1338","usgsCitation":"King, S.R., and Schoenecker, K., 2022, Application of tail transmitters for tracking feral horses as an alternative to radio collars: Wildlife Society Bulletin, v. 46, no. 4, e1338, 9 p., https://doi.org/10.1002/wsb.1338.","productDescription":"e1338, 9 p.","ipdsId":"IP-129913","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":420478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Conger Herd Management Area, Frisco Herd Management Area, Sulphur Springs Herd Management Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.03358980597041,\n 41.99245468276973\n ],\n [\n -114.05551299770433,\n 37.00574853871275\n ],\n [\n -113.3320476704814,\n 37.01450169249067\n ],\n [\n -112.29069606311519,\n 38.28160056526153\n ],\n [\n -112.04954095404076,\n 39.914801662668765\n ],\n [\n -114.03358980597041,\n 41.99245468276973\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"46","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"King, Sarah R. B. 0000-0002-9316-7488","orcid":"https://orcid.org/0000-0002-9316-7488","contributorId":280063,"corporation":false,"usgs":false,"family":"King","given":"Sarah","email":"","middleInitial":"R. B.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":881741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":881742,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70238485,"text":"70238485 - 2022 - The effects of prolonged drought on vegetation dieback and megafires in southern California chaparral","interactions":[],"lastModifiedDate":"2022-11-28T13:51:09.520414","indexId":"70238485","displayToPublicDate":"2022-08-18T07:46:32","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"The effects of prolonged drought on vegetation dieback and megafires in southern California chaparral","docAbstract":"Drought contributed to extensive dieback of southern California chaparral, and normalized difference vegetation index before drought and near the end of the drought was used to estimate this dieback, after accounting for other disturbances recorded in aerial photographs. Within the perimeters of two megafires that occurred after the drought, the 2017 Thomas Fire and the 2018 Woolsey Fire, there had been extensive areas of dieback. Comparing dieback with Monitoring Trends in Burn Severity measures of fire severity, there was a highly significant negative relationship between drought-caused shrub dieback and fire-caused dieback as measured by fire severity. We interpret this as further support for our remote sensing methodology for prefire dieback. Models of fire behavior suggest that one means by which dieback contributes to fire size is through increasing the density and distance of spot fires, particularly under extreme wind conditions. Lower elevation chaparral associations appear to be most vulnerable and are closer to urban environments, which should be a concern to fire managers in regions subjected to extended droughts.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4203","usgsCitation":"Keeley, J., Brennan-Kane, T.J., and Syphard, A.D., 2022, The effects of prolonged drought on vegetation dieback and megafires in southern California chaparral: Ecosphere, v. 13, no. 8, e4203, 16 p., https://doi.org/10.1002/ecs2.4203.","productDescription":"e4203, 16 p.","ipdsId":"IP-136211","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":446744,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4203","text":"Publisher Index Page"},{"id":435726,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91LIW2P","text":"USGS data release","linkHelpText":"The Effect of Prolonged Drought on Chaparral Dieback within the Perimeters of the Thomas and Woolsey Fires in Southern California, USA"},{"id":409688,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Los Angeles County, Santa Barbara County, Venture County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.5917796123387,\n 34.052337495398135\n ],\n [\n -118.4772825512335,\n 34.467490859424444\n ],\n [\n -119.38587213290705,\n 34.92905378144492\n ],\n [\n -119.67765496604588,\n 34.46140052062019\n ],\n [\n -119.13102383560852,\n 34.1410346214366\n ],\n [\n -118.79122610587672,\n 34.02785296997229\n ],\n [\n -118.5917796123387,\n 34.052337495398135\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","issue":"8","noUsgsAuthors":false,"publicationDate":"2022-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Keeley, Jon 0000-0002-4564-6521","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":216485,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":857604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brennan-Kane, Theresa J 0000-0002-0646-3298","orcid":"https://orcid.org/0000-0002-0646-3298","contributorId":292871,"corporation":false,"usgs":false,"family":"Brennan-Kane","given":"Theresa","email":"","middleInitial":"J","affiliations":[{"id":63051,"text":"previously WERC","active":true,"usgs":false}],"preferred":false,"id":857605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Syphard, Alexandra D.","contributorId":8977,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":857606,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70235785,"text":"70235785 - 2022 - Simplifying complex fault data for systems-level analysis: Earthquake geology inputs for U.S. NSHM 2023","interactions":[],"lastModifiedDate":"2022-08-19T13:37:36.641728","indexId":"70235785","displayToPublicDate":"2022-08-18T07:19:17","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"Simplifying complex fault data for systems-level analysis: Earthquake geology inputs for U.S. NSHM 2023","docAbstract":"As part of the U.S. National Seismic Hazard Model (NSHM) update planned for 2023, two databases were prepared to more completely represent Quaternary-active faulting across the western United States: the NSHM23 fault sections database (FSD) and earthquake geology database (EQGeoDB). In prior iterations of NSHM, fault sections were included only if a field-measurement-derived slip rate was estimated along a given fault. By expanding this inclusion criteria, we were able to assess a larger set of faults for use in NSHM23. The USGS Quaternary Fault and Fold Database served as a guide for assessing possible additions to the NSHM23 FSD. Reevaluating available data from published sources yielded an increase of fault sections from ~650 faults in NSHM18 to ~1,000 faults proposed for use in NSHM23. EQGeoDB, a companion dataset linked to NSHM23 FSD, contains geologic slip rate estimates for fault sections included in FSD. Together, these databases serve as common input data used in deformation modeling, earthquake rupture forecasting, and additional downstream uses in NSHM development.
Open-source intelligence (OSINT) evolved in spy agencies but now is rapidly changing many fields of study, from anthropology to zoology. Despite the fact that OSINT occasionally is used in conservation biology, there is little recognition that some tools and frameworks used by conservation professionals are drawn from this well-established field. The history and conceptual foundations of OSINT stem from the intelligence community, although OSINT tools are rapidly being applied in other fields. In conservation biology, OSINT is sometimes used to evaluate wildlife crime, human-wildlife and human-environment interactions, animal behavior, and questions of distribution and abundance. Recognizing the conceptual foundations of the field would allow expansion of conservation biology, not only in the areas noted above, but also, for example, in study of habitat use, habitat change, and animal behavior. This recognition would also provide frameworks for conceptual advancement, especially in terms of data and privacy management. Failure to recognize the underpinnings of OSINT tools in conservation biology harms the field because it limits how research is framed, thought about, and implemented. Likewise, taking an OSINT perspective to conservation problems, rather than simply thinking in terms of big data, can enrich the field, expand science, and increase knowledge and understanding of biology and biodiversity.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.13988","usgsCitation":"Katzner, T., Thomason, E.C., Huhmann, K., Conkling, T., Concepcion, C.B., Slabe, V., and Poessel, S.A., 2022, Open-source intelligence for conservation biology: Conservation Biology, v. 36, no. 6, e13988, 9 p., https://doi.org/10.1111/cobi.13988.","productDescription":"e13988, 9 p.","ipdsId":"IP-141281","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":405986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-10-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":850414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomason, Eve C. 0000-0002-9141-9397","orcid":"https://orcid.org/0000-0002-9141-9397","contributorId":245270,"corporation":false,"usgs":false,"family":"Thomason","given":"Eve","email":"","middleInitial":"C.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":850415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huhmann, Karrin","contributorId":296027,"corporation":false,"usgs":false,"family":"Huhmann","given":"Karrin","email":"","affiliations":[{"id":63970,"text":"Conservation Science Global","active":true,"usgs":false}],"preferred":false,"id":850416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conkling, Tara 0000-0003-1926-8106","orcid":"https://orcid.org/0000-0003-1926-8106","contributorId":217915,"corporation":false,"usgs":true,"family":"Conkling","given":"Tara","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":850417,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Concepcion, Camille B.","contributorId":190164,"corporation":false,"usgs":false,"family":"Concepcion","given":"Camille","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":850418,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Slabe, Vincent","contributorId":205309,"corporation":false,"usgs":false,"family":"Slabe","given":"Vincent","affiliations":[{"id":37080,"text":"West Virginia University, Division of Forestry and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":850419,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poessel, Sharon A. 0000-0002-0283-627X spoessel@usgs.gov","orcid":"https://orcid.org/0000-0002-0283-627X","contributorId":168465,"corporation":false,"usgs":true,"family":"Poessel","given":"Sharon","email":"spoessel@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":850420,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70235879,"text":"70235879 - 2022 - Using surrogate insects in acid bioassays for development of new controls for Varroa destructor (Arachnida: Varroidae)","interactions":[],"lastModifiedDate":"2022-10-17T15:53:54.571149","indexId":"70235879","displayToPublicDate":"2022-08-18T06:53:59","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2244,"text":"Journal of Economic Entomology","active":true,"publicationSubtype":{"id":10}},"title":"Using surrogate insects in acid bioassays for development of new controls for Varroa destructor (Arachnida: Varroidae)","docAbstract":"Resistance to traditional synthetic compounds by Varroa destructor Anderson and Trueman and shortcomings of the organic acid class of acaracides commonly used in varroa management requires continual development of new controls. V. destructor, however, are difficult to obtain for use in control bioassays because they are obligate parasites that cannot be easily reared outside of a honey bee colony. We conducted bioassays using other, more easily obtainable species to find organisms that could be used as surrogates for V. destructor when testing new potential controls. We compared the toxicities of acetic acid, lactic acid, formic acid, and oxalic acid at 0.005%, 0.05%, 0.5%, 5%, and 50% (20% oxalic acid only) concentrations based on natural volatility (nonheated) for the control of two beetle species, Oryzaephilus surinamensis L. and Alphitobius diaperinus Panzer, greater wax moth larvae, Galleria mellonella L., and V. destructor. The assay results were consistent across all species with formic acid and acetic acid showing 100% mortality of all four test species at 50% concentration. The assays also provided insight into the method of application (vaporization or contact) needed to cause mortality. Our results show that other organisms can be used in place of V. destructor for initial testing of acids and possibly other chemicals for control of the ectoparasite.
","language":"English","publisher":"Entomological Society of America","doi":"10.1093/jee/toac120","usgsCitation":"Vieira, J., Johnson, C.L., Varkonyi, E.M., Ginsberg, H., Picard, K., Kiesewetter, M., and Alm, S.R., 2022, Using surrogate insects in acid bioassays for development of new controls for Varroa destructor (Arachnida: Varroidae): Journal of Economic Entomology, v. 115, no. 5, p. 1417-1422, https://doi.org/10.1093/jee/toac120.","productDescription":"6 p.","startPage":"1417","endPage":"1422","ipdsId":"IP-137146","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":489193,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/pls_facpubs/45","text":"External Repository"},{"id":405528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Vieira, Julia","contributorId":295496,"corporation":false,"usgs":false,"family":"Vieira","given":"Julia","email":"","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":849602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Casey L.","contributorId":295497,"corporation":false,"usgs":false,"family":"Johnson","given":"Casey","email":"","middleInitial":"L.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":849603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Varkonyi, Elizabeth M.","contributorId":295498,"corporation":false,"usgs":false,"family":"Varkonyi","given":"Elizabeth","email":"","middleInitial":"M.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":849604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ginsberg, Howard 0000-0002-4933-2466","orcid":"https://orcid.org/0000-0002-4933-2466","contributorId":15473,"corporation":false,"usgs":true,"family":"Ginsberg","given":"Howard","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":849605,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Picard, Kassie","contributorId":295499,"corporation":false,"usgs":false,"family":"Picard","given":"Kassie","email":"","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":849606,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kiesewetter, Mattew","contributorId":295500,"corporation":false,"usgs":false,"family":"Kiesewetter","given":"Mattew","email":"","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":849607,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alm, Steven R.","contributorId":177872,"corporation":false,"usgs":false,"family":"Alm","given":"Steven","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":849608,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70235724,"text":"sir20225043 - 2022 - Water-quality conditions and constituent loads, water years 2013–19, and water-quality trends, water years 1983–2019, in the Scituate Reservoir drainage area, Rhode Island","interactions":[],"lastModifiedDate":"2022-08-18T14:36:01.876047","indexId":"sir20225043","displayToPublicDate":"2022-08-17T19:45:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-5043","displayTitle":"Water-Quality Conditions and Constituent Loads, Water Years 2013–19, and Water-Quality Trends, Water Years 1983–2019, in the Scituate Reservoir Drainage Area, Rhode Island","title":"Water-quality conditions and constituent loads, water years 2013–19, and water-quality trends, water years 1983–2019, in the Scituate Reservoir drainage area, Rhode Island","docAbstract":"The Scituate Reservoir is the primary source of drinking water for more than 60 percent of the population of Rhode Island. From October 1, 1982, to September 30, 2019, water years (WYs) 1983–2019 (a water year is the period between October 1 and September 30 and is designated by the year in which it ends), the Providence Water Supply Board maintained a fixed-frequency sampling program at 37 stations to monitor water quality in tributaries to the Scituate Reservoir. The U.S. Geological Survey (USGS), in cooperation with the Providence Water Supply Board, has measured streamflow at selected streamgages in the Scituate Reservoir drainage area since WY 1994, monitored water quality at selected stations since WY 2009, and conducted targeted base-flow and stormflow sampling at five stations in WYs 2016–19. Daily loads and yields of constituents (chloride, nitrite, nitrate, total coliform bacteria, Escherichia coli, and orthophosphate) were determined for sampled days during WYs 2013–19, and trends were examined for the entire period of record, predominantly WYs 1983–2019. USGS water-quality data were used to determine annual loads and yields of chloride and sodium for WYs 2013–19 at 14 stations, and nutrients and suspended sediment for WYs 2016–19 at 5 stations.
Tributaries in the Scituate Reservoir drainage area for WYs 2013–19 were slightly acidic (pH values less than 7.0 standard units) and often below the recommended pH range of 6.5 to 8.5 standard units, as described by the U.S. Environmental Protection Agency (EPA) in the secondary drinking-water regulations. Most measurements of water color in the tributaries were greater than the EPA secondary drinking-water regulation of 15 platinum-cobalt units. Chloride concentrations in Providence Water Supply Board samples rarely exceeded the EPA secondary drinking-water regulation for chloride (250 milligrams per liter); however, chloride concentrations estimated from continuous measurements of specific conductance exceeded the EPA criterion continuous concentration recommended for freshwater (230 milligrams per liter) for short periods ranging from 10 minutes to 26 hours at two streamgages.
Positive trends in pH, color, alkalinity, and chloride at more than half of the monitoring stations were identified for WYs 1983–2019. Fewer than half of the stations had significant trends in turbidity values, and significant trends varied in direction (positive or negative trends). Trend tests were not performed on total coliform bacteria, Escherichia coli, and nitrate concentrations because of analytical method changes that coincide with abrupt shifts in the magnitude and distribution of concentration data.
The median of daily loads and yields of chloride, nitrite, nitrate, orthophosphate, and bacteria determined for each Providence Water Supply Board sample in WYs 2013–19 varied across the 37 monitoring stations, but yields were generally greater at stations in the Moswansicut and Regulating Reservoir subbasins. Average daily yields of chloride and sodium estimated from continuous records of specific-conductance and streamflow data at 14 stations ranged from 42 to 310 kilograms per square mile per day and 28 to 180 kilograms per square mile per day, respectively. The mean annual yields of total phosphorus, total nitrogen, and suspended sediment determined for five stations ranged from 16 to 78 kilograms per square mile, from 370 to 2,100 kilograms per square mile, and from 5,000 to 13,000 kilograms per square mile, respectively. More than half of the nutrient and suspended sediment loads occurred during stormflow.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225043","collaboration":"Prepared in cooperation with the Providence Water Supply Board","usgsCitation":"Spaetzel, A.B., and Smith, K.P., 2022, Water-quality conditions and constituent loads, water years 2013–19, and water-quality trends, water years 1983–2019, in the Scituate Reservoir drainage area, Rhode Island: U.S. Geological Survey Scientific Investigations Report 2022–5043, 102 p., https://doi.org/10.3133/sir20225043.","productDescription":"Report: xiv, 102 p.; Data Release","numberOfPages":"102","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-128796","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":405187,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5043/coverthb.jpg"},{"id":405188,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5043/sir20225043.pdf","text":"Report","size":"10.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5043"},{"id":405190,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98XCK0R","text":"USGS data release","linkHelpText":"Water-quality, streamflow, and quality-control data supporting estimation of nutrient and sediment loads in the Scituate Reservoir drainage area, Rhode Island, water years 2016–19"},{"id":405191,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5043/sir20225043.XML"},{"id":405192,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5043/images/"}],"country":"United States","state":"Rhode Island","otherGeospatial":"Scituate Reservoir drainage area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.79840087890625,\n 41.724180549563606\n ],\n [\n -71.52786254882812,\n 41.724180549563606\n ],\n [\n -71.52786254882812,\n 41.96459591213679\n ],\n [\n -71.79840087890625,\n 41.96459591213679\n ],\n [\n -71.79840087890625,\n 41.724180549563606\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
Regulatory entities, such as the Minnesota Department of Health, monitor public water systems for conformance with Federal and State monitoring requirements and water-quality standards. Although some contaminants have Federal and (or) State regulations and guidance values, many contaminants, such as pesticides and pharmaceuticals, are unregulated in that only non-enforceable health-based guidance values have been assigned to them. Furthermore, because these contaminants are not regulated, commonly only limited resources are available to public water systems or regulatory entities to monitor them in drinking water. Focused screening efforts on contaminants that are frequently detected in the environment can provide information to help monitoring entities prioritize their sampling efforts.
Here we assess the use of enzyme-linked immunosorbent assay (ELISA) method, a rapid, inexpensive screening method, as an alternative to more expensive methods to analyze source and finished drinking-water samples collected from public water systems throughout Minnesota for three commonly detected pesticides (atrazine, imidacloprid, and pyrethroids) and three commonly detected pharmaceuticals (caffeine, carbamazepine, and sulfamethoxazole). The ELISA results were compared to results provided by more advanced mass-spectrometry analytical methods at the U.S. Geological Survey National Water Quality Laboratory (NWQL) and SGS AXYS Analytical Services Ltd. (AXYS).
Overall, these datasets are highly censored (>80 percent) and contain multiple reporting limits within and between laboratories. To discern agreement between paired contaminant group results (target contaminant plus immunologically similar contaminants) by ELISA and the advanced analytical methods at NWQL and AXYS, presence-absence agreement analysis was coupled with false negative and false positive analysis. Analysis of presence-absence agreement shows that ELISA has generally good agreement (77.9 to 100 percent) with both NWQL and AXYS for all unregulated contaminant groups. Imidicloprid, pyrethroids, and caffeine contaminant groups have relatively low false positivity rates (16, 6, and 5 percent, respectively) when analyzed by ELISA, which indicates the ELISA method, for these contaminant groups, could be experiencing low-level interference attributed to the detection of immunologically similar contaminants. Similarly, sulfamethoxazole has a low false positivity rate (0.8 percent), which indicates ELISA is likely not overestimating results for this contaminant group. Analyses for carbamazepine and sulfamethoxazole by ELISA resulted in low false negativity rates (1.6 and 0.8 percent, respectively), which indicates the ELISA method is likely not underestimating the results for this contaminant group. Conversely, the atrazine contaminant group has a high false negativity rate (84 percent), which indicates the method has a strong negative bias and that ELISA underestimates results for this contaminant. These qualitative results indicate that the ELISA method could potentially serve as a reliable and cost-effective screening method to help drinking water monitoring entities prioritize sampling efforts for analyzing carbamazepine and sulfamethoxazole in source and finished drinking-water samples collected from public water systems. At the same time, although ELISA did not prove to be a good screening method for atrazine, evaluation of ELISA results indicated that its use for screening imidacloprid, pyrethroids, and caffeine could be beneficial for water testing.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225066","collaboration":"Prepared in cooperation with the Minnesota Department of Health","usgsCitation":"Krall, A.L., Elliott, S.M., de Lambert, J.R., and Robertson, S.W., 2022, Comparison of the results of enzyme-linked immunosorbent assay (ELISA) to mass-spectrometry based analytical methods for six unregulated contaminants in source water and finished drinking-water samples: U.S. Geological Survey Scientific Investigations Report 2022–5066, 29 p., https://doi.org/10.3133/sir20225066.","productDescription":"Report: viii, 29 p.; Data Release","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-129231","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":405279,"rank":6,"type":{"id":39,"text":"HTML 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\"}}]}","contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
2280 Woodale Drive
Mounds View, MN 55112
Removal sampling data are the primary source of monitoring information for many populations (e.g., invasive species, fisheries). Population dynamics, temporary emigration, and imperfect detection are common sources of variation in monitoring data and are key parameters for informing management. We developed two open robust-design removal models for simultaneously modeling population dynamics, temporary emigration, and imperfect detection: a random walk linear trend model (estimable without ancillary information), and a 2-age class informed population model (InfoPM, closely related to integrated population models) that incorporated prior information for age-structured vital rates and relative juvenile availability. We applied both models to multiyear, removal trapping time-series of a large invasive lizard (Argentine black and white tegu, Salvator merianae) in three management areas of South Florida to evaluate the effectiveness of management programs. Although estimates of the two models were similar, the InfoPMs generally returned more precise estimates, partitioned dynamics into births, deaths, net migration, and provided a decision support tool to predict population dynamics under different effort scenarios while accounting for uncertainty. Trends in tegu superpopulation abundance estimates were increasing in two management areas despite generally high removal rates. However, tegu abundance appeared to decline in the Core management area, where trapping density was the highest and immigration the lowest. Finally, comparing abundance predictions of no-removal scenarios to those estimated in each management area suggested significant population reductions due to management. These results suggest that local tegu population control via systematic trapping may be feasible with high enough trap density and limited immigration; and highlights the value of these trapping programs. We provided the first estimates of tegu abundance, capture probabilities, and population dynamics, which is critical for effective management. Furthermore, our models are applicable to a wide range of monitoring programs (e.g., carcass recovery or removal point-counts).
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.9173","usgsCitation":"Udell, B., Martin, J., Romagosa, C., Waddle, J.H., Johnson, F., Falk, B., Yackel Adams, A.A., Funck, S., Ketterlin Eckles, J., Suarez, E., and Mazzotti, F., 2022, Open removal models with temporary emigration and population dynamics to inform invasive animal management: Ecology and Evolution, v. 12, no. 8, e9173; 19 p.; Data Release, https://doi.org/10.1002/ece3.9173.","productDescription":"e9173; 19 p.; Data Release","ipdsId":"IP-123086","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":446750,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.9173","text":"Publisher Index Page"},{"id":405442,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417829,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NXHC0V"}],"volume":"12","issue":"8","noUsgsAuthors":false,"publicationDate":"2022-08-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Udell, Bradley","contributorId":216709,"corporation":false,"usgs":false,"family":"Udell","given":"Bradley","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":849363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Julien 0000-0002-7375-129X julienmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":5785,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","email":"julienmartin@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":849364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romagosa, Christina","contributorId":178167,"corporation":false,"usgs":false,"family":"Romagosa","given":"Christina","affiliations":[],"preferred":false,"id":849365,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waddle, J. Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":138953,"corporation":false,"usgs":true,"family":"Waddle","given":"J.","email":"waddleh@usgs.gov","middleInitial":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":849366,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Fred","contributorId":295463,"corporation":false,"usgs":false,"family":"Johnson","given":"Fred","affiliations":[{"id":6963,"text":"Department of Bioscience, Aarhus University","active":true,"usgs":false}],"preferred":false,"id":849367,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Falk, Bryan 0000-0002-9690-5626 bfalk@usgs.gov","orcid":"https://orcid.org/0000-0002-9690-5626","contributorId":150075,"corporation":false,"usgs":true,"family":"Falk","given":"Bryan","email":"bfalk@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":849368,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":849369,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Funck, Sarah","contributorId":295401,"corporation":false,"usgs":false,"family":"Funck","given":"Sarah","email":"","affiliations":[{"id":35758,"text":"FWC","active":true,"usgs":false}],"preferred":false,"id":849370,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ketterlin Eckles, Jennifer","contributorId":152302,"corporation":false,"usgs":false,"family":"Ketterlin Eckles","given":"Jennifer","email":"","affiliations":[{"id":18903,"text":"Florida FWC","active":true,"usgs":false}],"preferred":false,"id":849371,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Suarez, Eric","contributorId":295404,"corporation":false,"usgs":false,"family":"Suarez","given":"Eric","email":"","affiliations":[{"id":35758,"text":"FWC","active":true,"usgs":false}],"preferred":false,"id":849372,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mazzotti, Frank","contributorId":138878,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":849373,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70237001,"text":"70237001 - 2022 - Elevated mercury concentrations and isotope signatures (N, C, Hg) in yellowfin tuna (Thunnus albacares) from the Galápagos Marine Reserve and waters off Ecuador","interactions":[],"lastModifiedDate":"2022-10-31T14:36:57.187225","indexId":"70237001","displayToPublicDate":"2022-08-17T10:54:05","publicationYear":"2022","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}},"displayTitle":"Elevated mercury concentrations and isotope signatures (N, C, Hg) in yellowfin tuna (Thunnus albacares) from the Galápagos Marine Reserve and waters off Ecuador","title":"Elevated mercury concentrations and isotope signatures (N, C, Hg) in yellowfin tuna (Thunnus albacares) from the Galápagos Marine Reserve and waters off Ecuador","docAbstract":"We examined how dietary factors recorded by C and N influence Hg uptake in 347 individuals of yellowfin tuna (Thunnus albacares), an important subsistence resource from the Galápagos Marine Reserve (GMR) and the Ecuadorian mainland coast (EMC) in 2015-2016. We found no differences in total Hg (THg) measured in red muscle between the two regions and no seasonal differences, likely due to the age of the fish and slow elimination rates of Hg. Our THg concentrations are comparable to other studies in the Pacific (0.06–2.88 mg/kg wet weight), but a subset of individuals exhibited the highest mercury concentrations yet reported in yellowfin tuna. Mercury isotope values differed between Δ199Hg and δ202Hg in both regions (Δ199Hg = 2.86±0.04‰ vs. Δ199Hg = 2.33 ± 0.07‰), likely related to shifting food webs and differing photochemical processing of Hg prior to entry into the food web. There were significantly lower values of both δ15N and δ13C in tuna from GMR (δ15N: 8.5–14.2‰, δ13C: -18.5–-16.1‰) compared to those from the EMC (δ15N: 8.3–14.4‰, δ13C: -19.4–-11.9‰), of which δ13C values suggest spatially-constrained movements of tunas. Results from the pooled analysis, without considering region, indicated that variations in δ13C and δ15N values tracked changes of Hg stable isotopes. Our data indicate that the individual tuna from this study were resident fish of each region and heavily influenced by upwellings related to the Eastern Pacific Oxygen Minimum Zone and the Humboldt Current System. C, N, and Hg isotopes reflect foraging behavior mainly on epipelagic prey in shallow waters and that food web shifts drive Hg variations between these populations of tuna.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.5458","usgsCitation":"Munoz-Abril, L., Valle, C.A., Alava, J.J., Janssen, S., Sunderland, E.M., Rubianes-Landazuri, F., and Emslie, S.D., 2022, Elevated mercury concentrations and isotope signatures (N, C, Hg) in yellowfin tuna (Thunnus albacares) from the Galápagos Marine Reserve and waters off Ecuador: Environmental Toxicology and Chemistry, v. 41, no. 11, p. 2732-2744, https://doi.org/10.1002/etc.5458.","productDescription":"13 p.","startPage":"2732","endPage":"2744","ipdsId":"IP-142672","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":407411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ecuador","otherGeospatial":"Galápagos Marine Reserve, Pacific Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92,\n -2.4821334037305633\n ],\n [\n -89,\n -2.4821334037305633\n ],\n [\n -89,\n 2.1308562777325313\n ],\n [\n -92,\n 2.1308562777325313\n ],\n [\n -92,\n -2.4821334037305633\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.3642578125,\n -4\n ],\n [\n -80,\n -4\n ],\n [\n -80,\n 1\n ],\n [\n -83.3642578125,\n 1\n ],\n [\n -83.3642578125,\n -4\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"11","noUsgsAuthors":false,"publicationDate":"2022-08-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Munoz-Abril, Laia","contributorId":296972,"corporation":false,"usgs":false,"family":"Munoz-Abril","given":"Laia","email":"","affiliations":[{"id":64260,"text":"Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito, Diego de Robles y Vía Interoceánica, Quito, Ecuador.","active":true,"usgs":false}],"preferred":false,"id":853018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valle, Carlos A","contributorId":296973,"corporation":false,"usgs":false,"family":"Valle","given":"Carlos","email":"","middleInitial":"A","affiliations":[{"id":64260,"text":"Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito, Diego de Robles y Vía Interoceánica, Quito, Ecuador.","active":true,"usgs":false}],"preferred":false,"id":853019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alava, Juan Jose","contributorId":296974,"corporation":false,"usgs":false,"family":"Alava","given":"Juan","email":"","middleInitial":"Jose","affiliations":[{"id":64261,"text":"Institute for the Oceans and Fisheries, University of British Columbia, 2202 Main Mall, Vancouver, BC V6T 1Z4, Canada","active":true,"usgs":false}],"preferred":false,"id":853020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":853021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sunderland, Elsie M.","contributorId":151016,"corporation":false,"usgs":false,"family":"Sunderland","given":"Elsie","email":"","middleInitial":"M.","affiliations":[{"id":18166,"text":"Harvard University, Cambridge, M","active":true,"usgs":false}],"preferred":false,"id":853022,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rubianes-Landazuri, Francisco","contributorId":296975,"corporation":false,"usgs":false,"family":"Rubianes-Landazuri","given":"Francisco","email":"","affiliations":[{"id":64260,"text":"Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito, Diego de Robles y Vía Interoceánica, Quito, Ecuador.","active":true,"usgs":false}],"preferred":false,"id":853023,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Emslie, Steven D","contributorId":296976,"corporation":false,"usgs":false,"family":"Emslie","given":"Steven","email":"","middleInitial":"D","affiliations":[{"id":64262,"text":"Department of Biology and Marine Biology, University of North Carolina, 601 S. College Rd., Wilmington, NC 28403, United States.","active":true,"usgs":false}],"preferred":false,"id":853024,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70235897,"text":"70235897 - 2022 - Genomics-informed delineation of conservation units in a desert amphibian","interactions":[],"lastModifiedDate":"2022-10-17T15:59:23.430324","indexId":"70235897","displayToPublicDate":"2022-08-17T10:07:04","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Genomics-informed delineation of conservation units in a desert amphibian","docAbstract":"Delineating conservation units (CUs, e.g., evolutionarily significant units, ESUs, and management units, MUs) is critical to the recovery of declining species because CUs inform both listing status and management actions. Genomic data have strengths and limitations in informing CU delineation and related management questions in natural systems. We illustrate the value of using genomic data in combination with landscape, dispersal, and occupancy data, to inform CU delineation in Nevada populations of the Great Basin Distinct Population Segment of the Columbia spotted frog (Rana luteiventris). R. luteiventris occupies naturally fragmented aquatic habitats in this xeric region, but beaver removal, climate change, and other factors have put many of these populations at high risk of extirpation without management intervention. We addressed three objectives: (1) assessing support for ESUs within Nevada; (2) evaluating and revising, if warranted, the current delineation of MUs; and (3) evaluating genetic diversity, effective population size, adaptive differentiation, and functional connectivity to inform ongoing management actions. We found little support for ESUs within Nevada but did identify potential revisions to MUs based on unique landscape drivers of connectivity that distinguish these desert populations from those in the northern portion of the species range. Effective sizes were uniformly small, with low genetic diversity and weak signatures of adaptive differentiation. Our findings suggest that management actions, including translocations and genetic rescue, might be warranted. Our study illustrates how a carefully planned genetic study, designed to address priority management goals that include CU delineation, can provide multiple insights to inform conservation action.
","language":"English","publisher":"Wiley","doi":"10.1111/mec.16660","usgsCitation":"Forester, B.R., Murphy, M., Mellison, C., Petersen, J., Pilliod, D., Van Horne, R., Harvey, J., and Funk, W.C., 2022, Genomics-informed delineation of conservation units in a desert amphibian: Molecular Ecology, v. 31, no. 20, p. 5249-5269, https://doi.org/10.1111/mec.16660.","productDescription":"21 p.","startPage":"5249","endPage":"5269","ipdsId":"IP-133553","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":446752,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/mec.16660","text":"Publisher Index Page"},{"id":405579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"20","noUsgsAuthors":false,"publicationDate":"2022-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Forester, Brenna R.","contributorId":261215,"corporation":false,"usgs":false,"family":"Forester","given":"Brenna","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":849678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Melanie","contributorId":88239,"corporation":false,"usgs":true,"family":"Murphy","given":"Melanie","affiliations":[],"preferred":false,"id":849679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mellison, Chad","contributorId":28873,"corporation":false,"usgs":true,"family":"Mellison","given":"Chad","affiliations":[],"preferred":false,"id":849680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petersen, Jeffrey","contributorId":295567,"corporation":false,"usgs":false,"family":"Petersen","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":849681,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":229349,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":849633,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Horne, Rachel","contributorId":216072,"corporation":false,"usgs":false,"family":"Van Horne","given":"Rachel","email":"","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":849682,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harvey, Jim","contributorId":203502,"corporation":false,"usgs":false,"family":"Harvey","given":"Jim","email":"","affiliations":[],"preferred":false,"id":849683,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Funk, W. Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":97589,"corporation":false,"usgs":false,"family":"Funk","given":"W.","email":"","middleInitial":"Chris","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":849684,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70255119,"text":"70255119 - 2022 - Field testing a high-frequency acoustic attenuation system for measuring fine suspended sediments and algal movements","interactions":[],"lastModifiedDate":"2024-06-12T15:02:48.224979","indexId":"70255119","displayToPublicDate":"2022-08-17T10:00:10","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17816,"text":"Applied Acoustics","active":true,"publicationSubtype":{"id":10}},"title":"Field testing a high-frequency acoustic attenuation system for measuring fine suspended sediments and algal movements","docAbstract":"Acoustic measurements of suspended sediment have the potential to allow remote, autonomous monitoring of sediment movements at much higher temporal resolution than traditional manual sampling methods. Although suspended sands present a challenging measurement problem due to their logarithmic distribution with depth, fine clay sediments are distributed evenly throughout a stream cross section, making them amenable to point measurements. In order to improve measurement capabilities for fine sediments in stream channels, The National Center for Physical Acoustics at The University of Mississippi has developed a remote, autonomous acoustic system to monitor fine sediments transported in streams. The system was tested on the Middle Rio Grande near San Acacia, New Mexico, and in Goodwin Creek in Panola County, Mississippi. The acoustic instruments were compared to sediment concentrations from physical samples in both deployments. Diurnal patterns were found in the acoustic signals from the Middle Rio Grande, and a follow up experiment at The University of Mississippi Biological Field Station was used to investigate the potential effects of algal biomass on acoustic attenuation measurements. The results showed diurnal patterns in attenuation were associated with patterns in light, temperature, and dissolved oxygen. These results combined with information from the literature indicate diel movement of algal colonies in the water column of some water bodies may interfere with high-frequency acoustic measurements in natural environments and that acoustic methods have the potential to allow ecological researchers to evaluate mass algal movements in the field. Results from Goodwin Creek demonstrate that the acoustic system is able to provide measurements of sediment concentration with high temporal resolution that track well with expected sediment transport patterns in response to discharge hydrographs.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apacoust.2022.108980","usgsCitation":"Carpenter, W.O., Goodwiller, B.T., Wren, D.G., Taylor, J.J., AuBuchon, J., and Brown, J., 2022, Field testing a high-frequency acoustic attenuation system for measuring fine suspended sediments and algal movements: Applied Acoustics, v. 198, 108980, https://doi.org/10.1016/j.apacoust.2022.108980.","productDescription":"108980","ipdsId":"IP-141566","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":446755,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apacoust.2022.108980","text":"Publisher Index Page"},{"id":430013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"198","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Carpenter, Wayne O.","contributorId":338687,"corporation":false,"usgs":false,"family":"Carpenter","given":"Wayne","email":"","middleInitial":"O.","affiliations":[{"id":36508,"text":"University of Mississippi","active":true,"usgs":false}],"preferred":false,"id":903457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goodwiller, Bradley T.","contributorId":338690,"corporation":false,"usgs":false,"family":"Goodwiller","given":"Bradley","email":"","middleInitial":"T.","affiliations":[{"id":36508,"text":"University of Mississippi","active":true,"usgs":false}],"preferred":false,"id":903458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wren, Daniel G.","contributorId":338693,"corporation":false,"usgs":false,"family":"Wren","given":"Daniel","email":"","middleInitial":"G.","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":903459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Jason J.","contributorId":202410,"corporation":false,"usgs":false,"family":"Taylor","given":"Jason","email":"","middleInitial":"J.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":903460,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"AuBuchon, Jonathan","contributorId":256772,"corporation":false,"usgs":false,"family":"AuBuchon","given":"Jonathan","email":"","affiliations":[{"id":51859,"text":"Albuquerque District, United States Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":903461,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown, Jeb E. 0000-0001-7671-2379","orcid":"https://orcid.org/0000-0001-7671-2379","contributorId":225088,"corporation":false,"usgs":true,"family":"Brown","given":"Jeb E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":903462,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70236648,"text":"70236648 - 2022 - Long-term impacts of impervious surface cover change and roadway deicing agent application on chloride concentrations in exurban and suburban watersheds","interactions":[],"lastModifiedDate":"2023-01-19T19:24:00.787879","indexId":"70236648","displayToPublicDate":"2022-08-17T09:52:04","publicationYear":"2022","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":"Long-term impacts of impervious surface cover change and roadway deicing agent application on chloride concentrations in exurban and suburban watersheds","docAbstract":"Roadway deicing agents, including rock salt and brine containing NaCl, have had a profound impact on the water quality and aquatic health of rivers and streams in urbanized areas with temperate climates. Yet, few studies evaluate impacts to watersheds characterized by relatively low impervious surface cover (ISC; < 15 %). Here, we use long-term (1997-2019), monthly streamwater quality data combined with daily streamflow for six exurban and suburban watersheds in southeastern Pennsylvania to examine the relations among chloride (Cl−) concentrations and ISC. Both flow-normalized Cl− concentrations and ISC increased over time in each of the six watersheds, consistent with changes in watershed management (e.g., ISC, road salt application, etc.). The watersheds that experienced the greatest changes in percent ISC (e.g., agriculture replaced by residential and commercial development) experienced the greatest changes in flow-normalized Cl− concentrations. We also utilized a comprehensive mass-balance model (2011–2018) that indicated Cl− inputs exceeded the outputs for the study watersheds. Road salt applied to state roads, non-state roads, and other impervious surfaces accounted for the majority of Cl− inputs to the six watersheds. Furthermore, increasing Cl− concentrations during baseflow conditions confirm impacts to shallow groundwater. Although flow-normalized Cl− concentrations are below the U.S. Environmental Protection Agency's chronic threshold value for impacts to aquatic organisms, year-round exceedances may result before the end of this century based on current trends. Though reduced Cl− loading to streams may be achieved by limiting the expansion of impervious surfaces in exurban and suburban watersheds, changes in baseflow concentrations are likely to be gradual because of the accumulated Cl− in groundwater.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2022.157933","usgsCitation":"Rossi, M., Kremer, P., Cravotta, C., Scheirer, K.E., and Goldsmith, S.T., 2022, Long-term impacts of impervious surface cover change and roadway deicing agent application on chloride concentrations in exurban and suburban watersheds: Science of the Total Environment, v. 851, no. Part 2, 157933, 13 p., https://doi.org/10.1016/j.scitotenv.2022.157933.","productDescription":"157933, 13 p.","ipdsId":"IP-139821","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":446757,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2022.157933","text":"Publisher Index Page"},{"id":406679,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","county":"Berks County, Bucks County, Chester County, Delaware County, Lehigh County, Montgomery County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.6,\n 39.812755695478124\n ],\n [\n -74.9542236328125,\n 39.812755695478124\n ],\n [\n -74.9542236328125,\n 40.2\n ],\n [\n -75.6,\n 40.2\n ],\n [\n -75.6,\n 39.812755695478124\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"851","issue":"Part 2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rossi, Marissa L. 0000-0003-2341-0312","orcid":"https://orcid.org/0000-0003-2341-0312","contributorId":296518,"corporation":false,"usgs":false,"family":"Rossi","given":"Marissa L.","affiliations":[{"id":12766,"text":"Villanova University","active":true,"usgs":false}],"preferred":false,"id":851695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kremer, Peleg","contributorId":296521,"corporation":false,"usgs":false,"family":"Kremer","given":"Peleg","email":"","affiliations":[{"id":12766,"text":"Villanova University","active":true,"usgs":false}],"preferred":false,"id":851696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":207249,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":851697,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scheirer, Krista E.","contributorId":296524,"corporation":false,"usgs":false,"family":"Scheirer","given":"Krista","email":"","middleInitial":"E.","affiliations":[{"id":64093,"text":"Aqua Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":851698,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldsmith, Steven T.","contributorId":193458,"corporation":false,"usgs":false,"family":"Goldsmith","given":"Steven","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":851699,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70240257,"text":"70240257 - 2022 - Seismometer records of ground tilt induced by debris flows","interactions":[],"lastModifiedDate":"2023-02-02T15:41:51.102633","indexId":"70240257","displayToPublicDate":"2022-08-17T09:21:40","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Seismometer records of ground tilt induced by debris flows","docAbstract":"A change in surface loading causes the Earth’s surface to deform. Mass movements, such as debris flows, can cause a tilt large enough to be recorded by nearby instruments, but the signal is strongly dependent on the mass loading and subsurface parameters. Specifically designed sensors for such measurements (tiltmeters) are cumbersome to install. Alternatively, broadband seismometers record translational motion and also tilt signals, often at periods of tens to hundreds of seconds. Their horizontal components are thereby the most sensitive to tilt. In this study, we show how to obtain tilt caused by the passing by of debris flows from seismic measurements recorded within tens of meters of the flow and investigate the usefulness of this signal for flow characterization. We investigate the problem on three scales (1) large‐scale laboratory experiments at the U.S. Geological Survey debris‐flow flume, where broadband seismometers and tiltmeters were installed for six
The interaction of aseismic and seismic slip before and after an earthquake is fundamental for both earthquake nucleation and postseismic stress relaxation. However, it can be difficult to determine where and when aseismic slip occurs within the seismogenic zone because geodetic techniques are limited to detecting moderate to large slip amplitudes or long duration small slip amplitudes. Here, we use repeating earthquakes (earthquakes that re-rupture the same fault patch) as a proxy for aseismic slip during the 2011 Prague, Oklahoma earthquake sequence. We find that aseismic slip in the Prague earthquake sequence occurs both within the granitic basement and the overlying sedimentary rocks. The repeating earthquakes show that patches of aseismic slip are mostly located at fault intersections. These fault intersections hosted possible mainshock slip, abundant aftershocks, and afterslip. We estimate that ∼40% of the aftershocks are driven by afterslip. We interpret that aseismic slip occurs at fault intersections where stress heterogeneity creates patches of lower stress that are stable within a nonsteady state, rate-state framework.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022JB024431","usgsCitation":"Okamoto, K., Savage, H., Cochran, E.S., and Keranen, K.M., 2022, Stress heterogeneity as a driver of aseismic slip during the 2011 Prague, Oklahoma aftershock sequence: Journal of Geophysical Research Solid Earth, v. 127, no. 8, e2022JB024431, 15 p., https://doi.org/10.1029/2022JB024431.","productDescription":"e2022JB024431, 15 p.","ipdsId":"IP-138835","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":446761,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022jb024431","text":"Publisher Index Page"},{"id":406831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","city":"Prague","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.7,\n 35.44\n ],\n [\n -96.9,\n 35.44\n ],\n [\n -96.9,\n 35.59\n ],\n [\n -96.7,\n 35.59\n ],\n [\n -96.7,\n 35.44\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"127","issue":"8","noUsgsAuthors":false,"publicationDate":"2022-08-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Okamoto, Kristina","contributorId":296586,"corporation":false,"usgs":false,"family":"Okamoto","given":"Kristina","email":"","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":851914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Savage, Heather","contributorId":296588,"corporation":false,"usgs":false,"family":"Savage","given":"Heather","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":851915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":851916,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keranen, Katie M.","contributorId":197630,"corporation":false,"usgs":false,"family":"Keranen","given":"Katie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":851917,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}