{"pageNumber":"421","pageRowStart":"10500","pageSize":"25","recordCount":184606,"records":[{"id":70227511,"text":"70227511 - 2022 - Phytoplankton community interactions and cyanotoxin mixtures in three recurring surface blooms within one lake","interactions":[],"lastModifiedDate":"2022-01-20T14:20:59.532904","indexId":"70227511","displayToPublicDate":"2021-12-24T08:15:01","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2331,"text":"Journal of Hazardous Materials","active":true,"publicationSubtype":{"id":10}},"title":"Phytoplankton community interactions and cyanotoxin mixtures in three recurring surface blooms within one lake","docAbstract":"

Cyanobacteria can produce numerous secondary metabolites (cyanotoxins) with various toxicities, yet data on cyanotoxins in many lakes are limited. Moreover, little research is available on complex relations among cyanobacteria that produce toxins. Therefore, we studied cyanobacteria and 19 cyanotoxins at three sites with recurring blooms in Kabetogama Lake (USA). Seven of 19 toxins were detected in various combinations. Anabaenopeptin A and B were detected in every sample. Microcystin-YR was detected more frequently than microcystin-LR, unlike other lakes in the region. Microcystin-YR concentrations, however, generally were low; two samples exceeded drinking water guidelines and no samples exceeded recreational guidelines. Anabaenopeptins correlated with six cyanobacterial taxa, most of which lack available literature on peptide production. The potential toxin producing cyanobacteria, Microcystis, was significantly correlated to microcystin-YR. Pseudanabaena sp. and Synechococcus sp. had strong negative correlations with several toxins that may indicate competition or stress between organisms. Non-metric multidimensional scaling identified three cyanobacterial pairs that may reflect symbiotic or antagonistic relations. This study highlights interactions among cyanobacteria and multiple cyanotoxins and the methods used may be useful for uncovering additional patterns in cyanobacteria communities in other systems, leading to further understanding of how those interactions lead to toxin production.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhazmat.2021.128142","usgsCitation":"Christensen, V., Olds, H., Norland, J.E., and Khan, E., 2022, Phytoplankton community interactions and cyanotoxin mixtures in three recurring surface blooms within one lake: Journal of Hazardous Materials, v. 427, 128142, 12 p., https://doi.org/10.1016/j.jhazmat.2021.128142.","productDescription":"128142, 12 p.","ipdsId":"IP-128039","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":394575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Kabetogama Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.11805725097656,\n 48.4105166936892\n ],\n [\n -92.779541015625,\n 48.4105166936892\n ],\n [\n -92.779541015625,\n 48.537977131982025\n ],\n [\n -93.11805725097656,\n 48.537977131982025\n ],\n [\n -93.11805725097656,\n 48.4105166936892\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"427","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Christensen, Victoria 0000-0003-4166-7461","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":220548,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":831205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olds, Hayley T. 0000-0002-6701-6459 htemplar@usgs.gov","orcid":"https://orcid.org/0000-0002-6701-6459","contributorId":5002,"corporation":false,"usgs":true,"family":"Olds","given":"Hayley T.","email":"htemplar@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":831206,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norland, Jack E.","contributorId":214257,"corporation":false,"usgs":false,"family":"Norland","given":"Jack","email":"","middleInitial":"E.","affiliations":[{"id":39001,"text":"School of Natural Resources Sciences, North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":831207,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Khan, Eakalak","contributorId":220550,"corporation":false,"usgs":false,"family":"Khan","given":"Eakalak","email":"","affiliations":[{"id":40182,"text":"University of Nevada Las Vegas","active":true,"usgs":false}],"preferred":false,"id":831208,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70230372,"text":"70230372 - 2022 - New insights into organic matter accumulation from high-resolution geochemical analysis of a black shale: Middle and Upper Devonian Horn River Group, Canada","interactions":[],"lastModifiedDate":"2022-07-07T16:47:14.960578","indexId":"70230372","displayToPublicDate":"2021-12-24T08:11:05","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"New insights into organic matter accumulation from high-resolution geochemical analysis of a black shale: Middle and Upper Devonian Horn River Group, Canada","docAbstract":"

Organic matter (OM) accumulation in organic matter-rich mudstones, or black shales, is generally recognized to be controlled by combinations of bioproductivity, preservation, and dilution. However, specific triggers of OM deposition in these formations are commonly difficult to identify with geochemical proxies, in part because of feedbacks that cause geochemical proxies for these controls to vary synchronously. This apparent synchronicity is partly a function of sample spacing, commonly at decimeter to meter intervals, which may represent longer periods of time than is required for the development of feedbacks. Higher resolution data sets may be required to fully interpret OM accumulation.

This study applies a novel combination of technologies to develop a high-resolution geochemical data set, integrating energy-dispersive X-ray fluorescence (EDXRF) and infrared imagery analyses, to record proxies for redox conditions, bioproductivity, and clastic and carbonate dilution in millimeter-resolution profiles of 133 core slabs from the Middle and Upper Devonian Horn River shale in the Western Canada Sedimentary Basin, which provides decadal-scale temporal resolution. A comparison to a more coarsely sampled data set from the same core results in substantially different interpretations of variations in bioproductivity, redox, and dilution proxies. Stratigraphic distributions of organic matter accumulation patterns (bioproductivity-control, siliciclastic/carbonate-dilution, and redox conditions-control) show that organic enrichment events were highly varied during deposition of the shale and were closely related to second- and third-order sea-level changes. High-resolution profiles indicate that bioproductivity was the predominant trigger for organic matter accumulation in a second-order highstand, particularly during deposition of third-order transgressive systems tracts. Organic matter accumulation was largely controlled by dilution from either carbonate or clastic sediments in a second-order lowstand. Bioproductivity-redox feedbacks developed on timescales of decades to centuries.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/B36091.1","usgsCitation":"Zhou, H., Harris, N.B., Dong, T., Ayranci, K., Feng, J., Rivard, B., Hackley, P.C., and Hatcherian, J.J., 2022, New insights into organic matter accumulation from high-resolution geochemical analysis of a black shale: Middle and Upper Devonian Horn River Group, Canada: Geological Society of America Bulletin, v. 134, no. 7-8, p. 2130-2144, https://doi.org/10.1130/B36091.1.","productDescription":"15 p.","startPage":"2130","endPage":"2144","ipdsId":"IP-126339","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":449362,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1130/gsab.s.17054183","text":"External Repository"},{"id":398462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"British Columbia, Northwest Territories","otherGeospatial":"Horn River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.91430664062499,\n 57.48040333923341\n ],\n [\n -120.531005859375,\n 57.48040333923341\n ],\n [\n -120.531005859375,\n 61.079544234557304\n ],\n [\n -125.91430664062499,\n 61.079544234557304\n ],\n [\n -125.91430664062499,\n 57.48040333923341\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"134","issue":"7-8","noUsgsAuthors":false,"publicationDate":"2021-12-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhou, Haolin","contributorId":289963,"corporation":false,"usgs":false,"family":"Zhou","given":"Haolin","email":"","affiliations":[],"preferred":false,"id":840106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harris, Nicholas B.","contributorId":289966,"corporation":false,"usgs":false,"family":"Harris","given":"Nicholas","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":840107,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dong, Tian","contributorId":239901,"corporation":false,"usgs":false,"family":"Dong","given":"Tian","email":"","affiliations":[{"id":48038,"text":"Institute for Geophysics and Department of Geological Sciences, Jackson School of Geosciences, University of Texas","active":true,"usgs":false}],"preferred":false,"id":840108,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ayranci, Korhan","contributorId":289969,"corporation":false,"usgs":false,"family":"Ayranci","given":"Korhan","email":"","affiliations":[],"preferred":false,"id":840109,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Feng, Jilu","contributorId":289972,"corporation":false,"usgs":false,"family":"Feng","given":"Jilu","email":"","affiliations":[],"preferred":false,"id":840110,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rivard, Benoit","contributorId":289973,"corporation":false,"usgs":false,"family":"Rivard","given":"Benoit","email":"","affiliations":[],"preferred":false,"id":840111,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":840112,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hatcherian, Javin J. 0000-0001-9151-6798 jhatcherian@usgs.gov","orcid":"https://orcid.org/0000-0001-9151-6798","contributorId":195770,"corporation":false,"usgs":true,"family":"Hatcherian","given":"Javin","email":"jhatcherian@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":840113,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70227357,"text":"70227357 - 2022 - Mapped predictions of manganese and arsenic in an alluvial aquifer using boosted regression trees","interactions":[],"lastModifiedDate":"2022-05-13T14:36:19.096668","indexId":"70227357","displayToPublicDate":"2021-12-24T07:09:15","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":"Mapped predictions of manganese and arsenic in an alluvial aquifer using boosted regression trees","docAbstract":"

Manganese (Mn) concentrations and the probability of arsenic (As) exceeding the drinking-water standard of 10 μg/L were predicted in the Mississippi River Valley alluvial aquifer (MRVA) using boosted regression trees (BRT). BRT, a type of ensemble-tree machine-learning model, were created using predictor variables that affect Mn and As distribution in groundwater. These variables included iron (Fe) concentrations and specific conductance predicted from previously developed BRT models, groundwater flux and age estimates from MODFLOW, and hydrologic characteristics. The models also included results from the first airborne geophysical survey conducted in the United States to target an entire aquifer system. Predictions of high Mn and As occurred where Fe was high. Predicted high Mn concentrations were correlated with fraction of young groundwater (less than 65 years) computed from MODFLOW results. High probabilities of As exceedance were predicted where groundwater was relatively old and airborne electromagnetic resistivity was high, typically proximal to streams. Two-variable partial-dependence plots and sensitivity analysis were used to provide insight into the factors controlling Mn and As distribution in groundwater. The maps of predicted Mn concentrations and As exceedance probabilities can be used to identify areas where these constituents may be high, and that could be targeted for further study. This paper shows that incorporation of a selected set of process-informed data, such as MODFLOW results and airborne geophysics, into a machine-learning model improves model interpretability. Incorporation of process-rich information into machine-learning models will likely be useful for addressing a wide range of problems of interest to groundwater hydrologists.

","language":"English","publisher":"National Ground Water Association","doi":"10.1111/gwat.13164","usgsCitation":"Knierim, K.J., Kingsbury, J.A., Belitz, K., Stackelberg, P.E., Minsley, B.J., and Rigby, J.R., 2022, Mapped predictions of manganese and arsenic in an alluvial aquifer using boosted regression trees: Groundwater, v. 60, no. 3, p. 362-376, https://doi.org/10.1111/gwat.13164.","productDescription":"15 p.","startPage":"362","endPage":"376","ipdsId":"IP-116535","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":449364,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.13164","text":"Publisher Index Page"},{"id":436023,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PRLNA3","text":"USGS data release","linkHelpText":"Machine-learning model predictions and rasters of arsenic and manganese in groundwater in the Mississippi River Valley alluvial aquifer"},{"id":394176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Louisiana, Mississippi, Tennessee","otherGeospatial":"Mississippi Alluvial Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.93408203124999,\n 36.06686213257888\n ],\n [\n -91.73583984374999,\n 35.0120020431607\n ],\n [\n -92.30712890624999,\n 32.63937487360669\n ],\n [\n -92.50488281249999,\n 30.50548389892728\n ],\n [\n -91.73583984374999,\n 29.554345125748267\n ],\n [\n -91.05468749999999,\n 29.05616970274342\n ],\n [\n -89.38476562499999,\n 29.554345125748267\n ],\n [\n -89.45068359374999,\n 30.543338954230222\n ],\n [\n -89.93408203124999,\n 32.43561304116276\n ],\n [\n -89.67041015624997,\n 33.94335994657882\n ],\n [\n -89.20898437499999,\n 35.191766965947394\n ],\n [\n -88.94531249999997,\n 36.08462129606931\n ],\n [\n -89.27490234374999,\n 36.56260003738545\n ],\n [\n -89.84619140624999,\n 36.27970720524017\n ],\n [\n -89.93408203124999,\n 36.06686213257888\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"60","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Knierim, Katherine J. 0000-0002-5361-4132 kknierim@usgs.gov","orcid":"https://orcid.org/0000-0002-5361-4132","contributorId":191788,"corporation":false,"usgs":true,"family":"Knierim","given":"Katherine","email":"kknierim@usgs.gov","middleInitial":"J.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":830567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kingsbury, James A. 0000-0003-4985-275X jakingsb@usgs.gov","orcid":"https://orcid.org/0000-0003-4985-275X","contributorId":883,"corporation":false,"usgs":true,"family":"Kingsbury","given":"James","email":"jakingsb@usgs.gov","middleInitial":"A.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":830568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":201889,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":830570,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stackelberg, Paul E. 0000-0002-1818-355X","orcid":"https://orcid.org/0000-0002-1818-355X","contributorId":204864,"corporation":false,"usgs":true,"family":"Stackelberg","given":"Paul","middleInitial":"E.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":830569,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Minsley, Burke J. 0000-0003-1689-1306","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":248573,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"","middleInitial":"J.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":830571,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rigby, James R. 0000-0002-5611-6307","orcid":"https://orcid.org/0000-0002-5611-6307","contributorId":260894,"corporation":false,"usgs":true,"family":"Rigby","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":830572,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70256735,"text":"70256735 - 2022 - Does where they start affect where they finish? A multimethod investigation of the role of stocking location on survival and dispersal of hatchery-reared Lake Sturgeon in Missouri River tributaries","interactions":[],"lastModifiedDate":"2024-09-04T14:25:04.897104","indexId":"70256735","displayToPublicDate":"2021-12-23T09:17:30","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Does where they start affect where they finish? A multimethod investigation of the role of stocking location on survival and dispersal of hatchery-reared Lake Sturgeon in Missouri River tributaries","docAbstract":"

Despite ongoing Lake Sturgeon recovery efforts, little is known about the role of stocking location on survival and dispersal to nursery habitats. We stocked age-0 Lake Sturgeon at four sites in two adjacent Missouri River tributaries and used telemetry to examine whether survival and dispersal differed among stocking sites and rivers. Survival estimates from Barker Cormack-Jolly-Seber models that incorporated both receiver detections and auxiliary manual detections were higher than spatial capture-recapture models that only included receiver detections. Barker model overwinter survival averaged 53% and provided information to adjust individual censoring in spatial capture-recapture model dispersal estimates. Within the two rivers, stocking site had little effect on activity centers with individuals from both sites converging upon similar locations by the end of the study period. However, dispersal distance and direction differed among stocking locations. Our overwinter survival estimates of stocked age-0 Lake Sturgeon in Missouri River tributaries were equal to or higher than other studied populations suggesting stocked juveniles may be contributing to the recovering population. Tributaries were important overwintering nursery locations with high stream fidelity that may contribute to future homing among adults.

","language":"English","publisher":"Wiley","doi":"10.1002/rra.3925","usgsCitation":"Moore, M., Paukert, C.P., Bonnot, T., Brooke, B., and Moore, T., 2022, Does where they start affect where they finish? A multimethod investigation of the role of stocking location on survival and dispersal of hatchery-reared Lake Sturgeon in Missouri River tributaries: River Research and Applications, v. 38, no. 4, p. 627-638, https://doi.org/10.1002/rra.3925.","productDescription":"12 p.","startPage":"627","endPage":"638","ipdsId":"IP-124542","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":433443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Gasconade River, Missouri River, Osage River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93,\n 39.25\n ],\n [\n -93,\n 38\n ],\n [\n -91,\n 38\n ],\n [\n -91,\n 39.25\n ],\n [\n -93,\n 39.25\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"38","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, M.J.","contributorId":341714,"corporation":false,"usgs":false,"family":"Moore","given":"M.J.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":908824,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paukert, Craig P. 0000-0002-9369-8545","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":245524,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","middleInitial":"P.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":908825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bonnot, T.W.","contributorId":274985,"corporation":false,"usgs":false,"family":"Bonnot","given":"T.W.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":908826,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brooke, B.","contributorId":341723,"corporation":false,"usgs":false,"family":"Brooke","given":"B.","email":"","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":908827,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moore, T.","contributorId":257287,"corporation":false,"usgs":false,"family":"Moore","given":"T.","affiliations":[],"preferred":false,"id":908828,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70254832,"text":"70254832 - 2022 - Relationship of trout growth to frequent electrofishing and diet collection in a headwater stream","interactions":[],"lastModifiedDate":"2024-06-11T14:12:25.531179","indexId":"70254832","displayToPublicDate":"2021-12-23T09:03:38","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Relationship of trout growth to frequent electrofishing and diet collection in a headwater stream","docAbstract":"

Research on fishes sometimes requires that individual fish be captured and subjected to invasive procedures multiple times over a relatively short time span. Electrofishing is one of the most common techniques used to capture fish, and it is known to cause injury to fish under certain circumstances. We evaluated the relationship of growth rates in Columbia River Redband Trout Oncorhynchus mykiss gairdneri to the number of times that they were captured via electrofishing and gastrically lavaged during the summer of 2018 in a mountainous, headwater stream. We captured fish between two and seven times over the course of 86 d using continuous (smooth) DC backpack electrofishing. We observed no relationship between the growth rate of Columbia River Redband Trout and the number of times that they were captured or gastrically lavaged. Although these findings contrast with hatchery electrofishing experiments, they may represent the greater resiliency of wild fish. It appears that researchers can use electrofishing and gastric lavage in cold waters at least once per month, and potentially up to twice per month, without greatly affecting the growth of wild Columbia River Redband Trout.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10728","usgsCitation":"Clancy, N.G., Dunnigan, J.L., and Budy, P., 2022, Relationship of trout growth to frequent electrofishing and diet collection in a headwater stream: North American Journal of Fisheries Management, v. 42, no. 1, p. 109-114, https://doi.org/10.1002/nafm.10728.","productDescription":"6 p.","startPage":"109","endPage":"114","ipdsId":"IP-133486","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Bear Creek, Libby Creek, Ramsey Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.6766783082558,\n 48.4467644853234\n ],\n [\n -115.6766783082558,\n 48.14538875631595\n ],\n [\n -115.30322838074561,\n 48.14538875631595\n ],\n [\n -115.30322838074561,\n 48.4467644853234\n ],\n [\n -115.6766783082558,\n 48.4467644853234\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"42","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Clancy, Niall G.","contributorId":337769,"corporation":false,"usgs":false,"family":"Clancy","given":"Niall","email":"","middleInitial":"G.","affiliations":[{"id":52338,"text":"Montana Fish, Wildlife & Parks","active":true,"usgs":false}],"preferred":false,"id":902663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunnigan, James L.","contributorId":337770,"corporation":false,"usgs":false,"family":"Dunnigan","given":"James","email":"","middleInitial":"L.","affiliations":[{"id":52338,"text":"Montana Fish, Wildlife & Parks","active":true,"usgs":false}],"preferred":false,"id":902664,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Budy, Phaedra E. 0000-0002-9918-1678","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":228930,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902662,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70227008,"text":"70227008 - 2022 - Salinity contributions from geothermal waters to the Rio Grande and shallow aquifer system in the transboundary Mesilla (United States)/Conejos-Médanos (Mexico) Basin","interactions":[],"lastModifiedDate":"2021-12-28T14:11:36.8632","indexId":"70227008","displayToPublicDate":"2021-12-23T08:30:37","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Salinity contributions from geothermal waters to the Rio Grande and shallow aquifer system in the transboundary Mesilla (United States)/Conejos-Médanos (Mexico) Basin","docAbstract":"

Freshwater scarcity has raised concerns about the long-term availability of the water supplies within the transboundary Mesilla (United States)/Conejos-Médanos (Mexico) Basin in Texas, New Mexico, and Chihuahua. Analysis of legacy temperature data and groundwater flux estimates indicates that the region’s known geothermal systems may contribute more than 45,000 tons of dissolved solids per year to the shallow aquifer system, with around 8500 tons of dissolved solids being delivered from localized groundwater upflow zones within those geothermal systems. If this salinity flux is steady and eventually flows into the Rio Grande, it could account for 22% of the typical average annual cumulative Rio Grande salinity that leaves the basin each year—this salinity proportion could be much greater in times of low streamflow. Regional water level mapping indicates upwelling brackish waters flow towards the Rio Grande and the southern part of the Mesilla portion of the basin with some water intercepted by wells in Las Cruces and northern Chihuahua. Upwelling waters ascend from depths greater than 1 km with focused flow along fault zones, uplifted bedrock, and/or fractured igneous intrusions. Overall, this work demonstrates the utility of using heat as a groundwater tracer to identify salinity sources and further informs stakeholders on the presence of several brackish upflow zones that could notably degrade the quality of international water supplies in this developed drought-stricken region. 

","language":"English","publisher":"MDPI","doi":"10.3390/w14010033","usgsCitation":"Pepin, J.D., Robertson, A.J., and Kelley, S.A., 2022, Salinity contributions from geothermal waters to the Rio Grande and shallow aquifer system in the transboundary Mesilla (United States)/Conejos-Médanos (Mexico) Basin: Water, v. 14, 33, 24 p., https://doi.org/10.3390/w14010033.","productDescription":"33, 24 p.","ipdsId":"IP-130212","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":449370,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w14010033","text":"Publisher Index Page"},{"id":393412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Chuhuahua, New Mexico, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.60009765625,\n 30.372875188118016\n ],\n [\n -105.6884765625,\n 30.372875188118016\n ],\n [\n -105.6884765625,\n 32.9257074887604\n ],\n [\n -107.60009765625,\n 32.9257074887604\n ],\n [\n -107.60009765625,\n 30.372875188118016\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","noUsgsAuthors":false,"publicationDate":"2021-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Pepin, Jeff D. 0000-0002-7410-9979","orcid":"https://orcid.org/0000-0002-7410-9979","contributorId":222161,"corporation":false,"usgs":true,"family":"Pepin","given":"Jeff","email":"","middleInitial":"D.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":829163,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robertson, Andrew J. 0000-0003-2130-0347 ajrobert@usgs.gov","orcid":"https://orcid.org/0000-0003-2130-0347","contributorId":4129,"corporation":false,"usgs":true,"family":"Robertson","given":"Andrew","email":"ajrobert@usgs.gov","middleInitial":"J.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":829164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelley, Shari A.","contributorId":216179,"corporation":false,"usgs":false,"family":"Kelley","given":"Shari","email":"","middleInitial":"A.","affiliations":[{"id":16150,"text":"New Mexico Bureau of Geology and Mineral Resources","active":true,"usgs":false}],"preferred":false,"id":829165,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70227402,"text":"70227402 - 2022 - Improving groundwater model calibration with repeat microgravity measurements","interactions":[],"lastModifiedDate":"2022-05-13T14:37:28.20751","indexId":"70227402","displayToPublicDate":"2021-12-23T06:52:44","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":"Improving groundwater model calibration with repeat microgravity measurements","docAbstract":"

Groundwater-flow models depend on hydraulic head and flux observations for evaluation and calibration. A different type of observation—change in storage measured using repeat microgravity—can also be used for parameter estimation by simulating the expected change in gravity from a groundwater model and including the observation misfit in the objective function. The method is demonstrated using new software linked to MODFLOW input and output files and field data from the vicinity of the All American Canal in southeast California, USA. Over a 10-year period following lining of the previously highly permeable canal with concrete, gravity decreased by over 100 μGal (equivalent to about 2.5 m of free-standing water) at some locations as seepage decreased and the remnant groundwater mound dissipated into the aquifer or was removed by groundwater pumping. Simulated gravity from a MODFLOW model closely matched observations, and repeat microgravity data proved useful for constraining both hydraulic conductivity and specific yield estimates. Specific yield estimated using the infinite-horizontal slab approximation agreed well with model-derived values, and the departure from the linear, flat-water-table approximation was small, less than 2%, despite relatively large and dynamic water-table slope. First-order second-moment parameter uncertainty analysis shows reduction in uncertainty for all hydraulic conductivity and specific yield parameter estimates with the addition of repeat microgravity data, as compared to drawdown data alone.

","language":"English","publisher":"Wiley","doi":"10.1111/gwat.13167","usgsCitation":"Kennedy, J.R., Wildermuth, L.M., Knight, J., and Larson, J., 2022, Improving groundwater model calibration with repeat microgravity measurements: Groundwater, v. 60, no. 3, p. 393-403, https://doi.org/10.1111/gwat.13167.","productDescription":"11 p.","startPage":"393","endPage":"403","ipdsId":"IP-126024","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":436024,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9575C61","text":"USGS data release","linkHelpText":"MODFLOW-NWT groundwater model demonstrating groundwater model calibration with repeat microgravity measurements"},{"id":394305,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.77392578125,\n 32.62087018318113\n ],\n [\n -115.037841796875,\n 32.722598604044066\n ],\n [\n -114.686279296875,\n 32.759562025650126\n ],\n [\n -114.686279296875,\n 33.25706340236547\n ],\n [\n -115.6640625,\n 33.25706340236547\n ],\n [\n -115.77392578125,\n 32.62087018318113\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"60","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-01-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Kennedy, Jeffrey R. 0000-0002-3365-6589 jkennedy@usgs.gov","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":176478,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","email":"jkennedy@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":830749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wildermuth, Libby M. 0000-0001-5333-0968 lwildermuth@usgs.gov","orcid":"https://orcid.org/0000-0001-5333-0968","contributorId":210459,"corporation":false,"usgs":true,"family":"Wildermuth","given":"Libby","email":"lwildermuth@usgs.gov","middleInitial":"M.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":830750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knight, Jacob E. 0000-0003-0271-9011","orcid":"https://orcid.org/0000-0003-0271-9011","contributorId":204140,"corporation":false,"usgs":true,"family":"Knight","given":"Jacob E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":830751,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larson, Joshua D. 0000-0002-1218-800X","orcid":"https://orcid.org/0000-0002-1218-800X","contributorId":271085,"corporation":false,"usgs":true,"family":"Larson","given":"Joshua D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":830752,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70232685,"text":"70232685 - 2022 - 2021 U.S. National Seismic Hazard Model for the State of Hawaii","interactions":[],"lastModifiedDate":"2022-07-12T13:21:48.024975","indexId":"70232685","displayToPublicDate":"2021-12-22T08:15:50","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"2021 U.S. National Seismic Hazard Model for the State of Hawaii","docAbstract":"The 2021 U.S. National Seismic Hazard Model (NSHM) for the State of Hawaii updates the two-decades-old former model by incorporating new data and modeling techniques to improve the underlying ground shaking forecasts of tectonic-fault, tectonic-flexure, volcanic, and caldera collapse earthquakes. Two earthquake ground shaking hazard models (public policy and research) are produced that differ in how they account for declustered catalogs. The earthquake source model is based on (1) declustered earthquake catalogs smoothed with adaptive smoothing methods, (2) earthquake rate forecasts based on three temporally varying 60-year time periods, (3) maximum magnitude models that extend to larger earthquakes than previously considered, (4) a separate Kīlauea-specific seismogenic caldera collapse model which accounts for clustered event behavior observed during the 2018 eruption, and (5) fault ruptures that consider historic seismicity, GPS-based strain rates, and a new Quaternary fault database. Two new Hawaii-specific ground motion models (GMMs) and five additional global models consistent with Hawaii shaking data are used to forecast ground shaking at 23 spectral periods and peak parameters. Site effects are modeled using western U.S. and Hawaii specific empirical equations and provide shaking forecasts for eight site classes. For most sites the new model results in similar spectral accelerations as those in the 2001 NSHM, with a few exceptions caused mostly by GMM changes. Ground motions are highest in the southern portion of the Island of Hawai‘i due to high rates of forecasted earthquakes on décollement faults. Shaking decays to the northwest where lower earthquake rates result from flexure of the tectonic plate. Large epistemic uncertainties in source characterizations and GMMs lead to an overall high uncertainty (more than a factor of 3) in ground shaking at Honolulu and Hilo. The new shaking model indicates significant chances of slight or greater damaging ground motions across most of the island chain.","language":"English","publisher":"SAGE Publishing","doi":"10.1177/87552930211052061","usgsCitation":"Petersen, M.D., Shumway, A., Powers, P.M., Moschetti, M.P., Llenos, A.L., Michael, A.J., Mueller, C., Frankel, A.D., Rezaeian, S., Rukstales, K., McNamara, D., Okubo, P., Zeng, Y., Jaiswal, K.S., Ahdi, S.K., Altekruse, J.M., and Shiro, B., 2022, 2021 U.S. National Seismic Hazard Model for the State of Hawaii: Earthquake Spectra, v. 38, no. 2, p. 865-916, https://doi.org/10.1177/87552930211052061.","productDescription":"52 p.","startPage":"865","endPage":"916","ipdsId":"IP-131306","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science 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0000-0002-8798-9514","orcid":"https://orcid.org/0000-0002-8798-9514","contributorId":291308,"corporation":false,"usgs":true,"family":"Altekruse","given":"Jason","email":"","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":846270,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Shiro, Brian 0000-0001-8756-288X","orcid":"https://orcid.org/0000-0001-8756-288X","contributorId":204040,"corporation":false,"usgs":true,"family":"Shiro","given":"Brian","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":846271,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70227319,"text":"70227319 - 2022 - Automated detection of clipping in broadband earthquake records","interactions":[],"lastModifiedDate":"2022-03-15T16:51:56.806273","indexId":"70227319","displayToPublicDate":"2021-12-22T07:32:01","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Automated detection of clipping in broadband earthquake records","docAbstract":"

Because the amount of available ground‐motion data has increased over the last decades, the need for automated processing algorithms has also increased. One difficulty with automated processing is to screen clipped records. Clipping occurs when the ground‐motion amplitude exceeds the dynamic range of the linear response of the instrument. Clipped records in which the amplitude exceeds the dynamic range are relatively easy to identify visually yet challenging for automated algorithms. In this article, we seek to identify a reliable and fully automated clipping detection algorithm tailored to near‐real‐time earthquake response needs. We consider multiple alternative algorithms, including (1) an algorithm based on the percentage difference in adjacent data points, (2) the standard deviation of the data within a moving window, (3) the shape of the histogram of the recorded amplitudes, (4) the second derivative of the data, and (5) the amplitude of the data. To quantitatively compare these algorithms, we construct development and holdout datasets from earthquakes across a range of geographic regions, tectonic environments, and instrument types. We manually classify each record for the presence of clipping and use the classified records. We then develop an artificial neural network model that combines all the individual algorithms. Testing on the holdout dataset, the standard deviation and histogram approaches are the most accurate individual algorithms, with an overall accuracy of about 93%. The combined artificial neural network method yields an overall accuracy of 95%, and the choice of classification threshold can balance precision and recall.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220210028","usgsCitation":"Kleckner, J.K., Withers, K., Thompson, E.M., Rekoske, J., Wolin, E., and Moschetti, M.P., 2022, Automated detection of clipping in broadband earthquake records: Seismological Research Letters, v. 93, no. 2A, p. 880-896, https://doi.org/10.1785/0220210028.","productDescription":"17 p.","startPage":"880","endPage":"896","ipdsId":"IP-132238","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":394097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"2A","noUsgsAuthors":false,"publicationDate":"2021-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Kleckner, James Kael 0000-0003-4887-827X","orcid":"https://orcid.org/0000-0003-4887-827X","contributorId":271017,"corporation":false,"usgs":true,"family":"Kleckner","given":"James","email":"","middleInitial":"Kael","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":830429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Withers, Kyle 0000-0001-7863-3930","orcid":"https://orcid.org/0000-0001-7863-3930","contributorId":203492,"corporation":false,"usgs":true,"family":"Withers","given":"Kyle","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":830430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":830431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rekoske, J.M. 0000-0003-0539-2069","orcid":"https://orcid.org/0000-0003-0539-2069","contributorId":271018,"corporation":false,"usgs":false,"family":"Rekoske","given":"J.M.","affiliations":[],"preferred":false,"id":830432,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wolin, Emily 0000-0003-1610-1191","orcid":"https://orcid.org/0000-0003-1610-1191","contributorId":221834,"corporation":false,"usgs":true,"family":"Wolin","given":"Emily","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":830433,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":830434,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70227469,"text":"70227469 - 2022 - Exposure of cultural resources to 21st-century climate change: Towards a risk management plan","interactions":[],"lastModifiedDate":"2022-01-19T13:19:26.895989","indexId":"70227469","displayToPublicDate":"2021-12-22T07:16:55","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5474,"text":"Climate Risk Management","active":true,"publicationSubtype":{"id":10}},"title":"Exposure of cultural resources to 21st-century climate change: Towards a risk management plan","docAbstract":"

Anthropogenic climate change during the 21st century presents a significant challenge to the protection of cultural resources (CRs) on federal lands that encompass ∼ 28% of the U.S. In particular, CRs on this land base may be adversely affected by a wide range of climate-change hazards, including damage by sea-level rise, enhanced deterioration by increasing temperature and precipitation, and destruction by more-frequent and severe wildfire. Most current measures to manage the impacts of hazards on CRs use vulnerability assessments, but because these require that all CRs be treated as having an equal chance of being affected by climate-change hazards (i.e., equal exposure) across large landscapes, the cost and resources required for such analyses are overwhelming to land management agencies. Projections of changes in many hazards, however, show that the probability of hazard occurrence will be unevenly distributed on the landscape. Incorporating this information into a risk assessment thus allows CR managers to prioritize their efforts on assessing impacts to CRs in those areas where the probability of the hazard is greatest, thus increasing efficiency. We provide several heuristic examples of implementing the first part of a CR risk assessment by using 21st-century projections of several hazards most likely to adversely affect CRs on nine National Forests (NFs) managed by the U.S. Forest Service in northern Idaho and Montana. Overlaying the projected distribution of hazards on these NFs with the distribution of CRs identifies CR exposure that, with information on their vulnerability, is required to determine risk. Additional policy and field studies will be needed to determine how to prioritize those CRs that are most at risk according to their significance as well as identify how impacts can be reduced and managed through adaptation planning and implementation. Adaptation will follow the iterative risk management process particularly by improving projection resolution. Finer scale, process-based modeling informed by the highest priority CRs would also provide a means to assess various adaptation options that might change the estimated risk and increase the odds of CRs being as little affected as possible.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.crm.2021.100385","usgsCitation":"Clark, J., Littell, J., Alder, J.R., and Teats, N., 2022, Exposure of cultural resources to 21st-century climate change: Towards a risk management plan: Climate Risk Management, v. 35, 100385, 15 p., https://doi.org/10.1016/j.crm.2021.100385.","productDescription":"100385, 15 p.","ipdsId":"IP-131846","costCenters":[{"id":49028,"text":"Alaska Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":449376,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.crm.2021.100385","text":"Publisher Index Page"},{"id":394509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.24609374999999,\n 44.08758502824516\n ],\n [\n -110.654296875,\n 44.08758502824516\n ],\n [\n -110.654296875,\n 49.009050809382046\n ],\n [\n -117.24609374999999,\n 49.009050809382046\n ],\n [\n -117.24609374999999,\n 44.08758502824516\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Jorie","contributorId":201140,"corporation":false,"usgs":false,"family":"Clark","given":"Jorie","email":"","affiliations":[],"preferred":false,"id":831056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Littell, Jeremy S. 0000-0002-5302-8280","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":205907,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":831057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alder, Jay R. 0000-0003-2378-2853 jalder@usgs.gov","orcid":"https://orcid.org/0000-0003-2378-2853","contributorId":5118,"corporation":false,"usgs":true,"family":"Alder","given":"Jay","email":"jalder@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":831058,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Teats, Nathan","contributorId":271170,"corporation":false,"usgs":false,"family":"Teats","given":"Nathan","email":"","affiliations":[{"id":56311,"text":"United States Forest Service Northern Region","active":true,"usgs":false}],"preferred":false,"id":831059,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70230097,"text":"70230097 - 2022 - Exploring local riverbank sediment controls on the occurrence of preferential groundwater discharge points","interactions":[],"lastModifiedDate":"2022-03-29T12:02:50.649885","indexId":"70230097","displayToPublicDate":"2021-12-22T06:53:25","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Exploring local riverbank sediment controls on the occurrence of preferential groundwater discharge points","docAbstract":"
Groundwater discharge to rivers takes many forms, including preferential groundwater discharge points (PDPs) along riverbanks that are exposed at low flows, with multi-scale impacts on aquatic habitat and water quality. The physical controls on the spatial distribution of PDPs along riverbanks are not well-defined, rendering their prediction and representation in models challenging. To investigate the local riverbank sediment controls on PDP occurrence, we tested drone-based and handheld thermal infrared to efficiently map PDP locations along two mainstem rivers. Early in the study, we found drone imaging was better suited to locating tributary and stormwater inflows, which created relatively large water surface thermal anomalies in winter, compared to PDPs that often occurred at the sub-meter scale and beneath riparian tree canopy. Therefore, we primarily used handheld thermal infrared imaging from watercraft to map PDPs and larger seepage faces along 12-km of the fifth-order Housatonic River in Massachusetts, USA and 26-km of the Farmington River in Connecticut, USA. Overall, we mapped 31 riverbank PDPs along the Housatonic reach that meanders through lower permeability soils, and 104 PDPs along the Farmington reach that cuts through sandier sediments. Riverbank soil parameters extracted at PDP locations from the Soil Survey Geographic (SSURGO) database did not differ substantially from average bank soils along either reach, although the Farmington riverbank soils were on average 5× more permeable than Housatonic riverbank soils, likely contributing to the higher observed prevalence of PDPs. Dissolved oxygen measured in discharge water at these same PDPs varied widely, but showed no relation to measured sand, clay, or organic matter content in surficial soils indicating a lack of substantial near-surface aerobic reaction. The PDP locations were investigated for the presence of secondary bank structures, and commonly co-occurred with riparian tree root masses indicating the importance of localized physical controls on the spatial distribution of riverbank PDPs.
","language":"English","publisher":"MDPI","doi":"10.3390/w14010011","usgsCitation":"Briggs, M., Jackson, K., Liu, F., Moore, E., Bisson, A., and Helton, A.M., 2022, Exploring local riverbank sediment controls on the occurrence of preferential groundwater discharge points: Water, v. 14, no. 1, 11, 15 p., https://doi.org/10.3390/w14010011.","productDescription":"11, 15 p.","ipdsId":"IP-135448","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":449378,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w14010011","text":"Publisher Index Page"},{"id":397766,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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M.","contributorId":93289,"corporation":false,"usgs":false,"family":"Helton","given":"A.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":839000,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70226912,"text":"70226912 - 2022 - Assessing spontaneous howling rates in captive wolves using automatic passive recorders","interactions":[],"lastModifiedDate":"2022-09-01T14:30:55.057912","indexId":"70226912","displayToPublicDate":"2021-12-21T09:32:23","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5084,"text":"Bioacoustics: The International Journal of Animal Sound and its Recording","active":true,"publicationSubtype":{"id":10}},"title":"Assessing spontaneous howling rates in captive wolves using automatic passive recorders","docAbstract":"We studied the spontaneous vocal behaviour of captive wolves at the International Wolf Center (IWC) in Minnesota (spring 2019 and winter 2020), and the Centro del Lobo Ibérico Félix Rodríguez de la Fuente (CLIFRF) in Spain (winter 2020). We used AudioMoth recording devices to record wolf howling 24 hr/day. We identified 412 solo howl series and 403 chorus howls and found differences between wolves at the two centres. Vocal rates for North American wolves at the IWC (7.8 chorus howls/day in spring and 4.8 chorus howls/day in winter) were higher than rates obtained for Iberian wolves from CLIFRF (3.8 chorus howls/day in winter). Howling rates obtained in our study were similar to those obtained for captive Mexican wolves and greater than those reported for wild wolves. Hourly distribution of howling was also different between centres. The greatest howling activity identified at IWC was at pre-sunrise, while at CLIFRF the peak occurred at sunset. Weather conditions had little influence on the vocal behaviour of the captive wolves we studied. We show the potential of passive recorders to study topics of animal acoustic communication, such as vocal rates and temporal patterns, that have not been deeply addressed due to technological constraints.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/09524622.2021.2006083","usgsCitation":"Palacios, V., Barber-Meyer, S., Marti-Domken, B., and Schmidt, L.J., 2022, Assessing spontaneous howling rates in captive wolves using automatic passive recorders: Bioacoustics: The International Journal of Animal Sound and its Recording, v. 31, no. 5, p. 562-574, https://doi.org/10.1080/09524622.2021.2006083.","productDescription":"13 p.","startPage":"562","endPage":"574","ipdsId":"IP-131214","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":393195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Spain, United States","state":"Minnesota","otherGeospatial":"Centro del Lobo Ibérico Félix Rodríguez de la Fuente, International Wolf Center","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -6.577956676483154,\n 41.98943304601513\n ],\n [\n -6.576969623565674,\n 41.989130017984664\n ],\n [\n -6.575767993927002,\n 41.98924166005846\n ],\n [\n -6.574158668518066,\n 41.98807738309159\n ],\n [\n -6.573965549468993,\n 41.988045484792806\n ],\n [\n -6.573343276977539,\n 41.988842937467304\n ],\n [\n -6.572570800781249,\n 41.989034324622736\n ],\n [\n -6.571991443634033,\n 41.98941709720739\n ],\n [\n -6.571583747863769,\n 41.98986366231382\n ],\n [\n -6.571476459503174,\n 41.990405915731415\n ],\n [\n -6.571583747863769,\n 41.99128308059764\n ],\n [\n -6.571261882781982,\n 41.991841270128084\n ],\n [\n -6.572871208190918,\n 41.99241540282406\n ],\n [\n -6.573429107666016,\n 41.992909790718066\n ],\n [\n -6.574845314025879,\n 41.99329253999872\n ],\n [\n -6.576862335205078,\n 41.992479195026156\n ],\n [\n -6.576969623565674,\n 41.99233566248151\n ],\n [\n -6.576454639434814,\n 41.99152230528149\n ],\n [\n -6.5772271156311035,\n 41.99099600979024\n ],\n [\n -6.577956676483154,\n 41.98943304601513\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.8288266658783,\n 47.90547586278441\n ],\n [\n -91.82644486427307,\n 47.90547586278441\n ],\n [\n -91.82644486427307,\n 47.90635329599402\n ],\n [\n -91.8288266658783,\n 47.90635329599402\n ],\n [\n -91.8288266658783,\n 47.90547586278441\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Palacios, Vicente","contributorId":270224,"corporation":false,"usgs":false,"family":"Palacios","given":"Vicente","affiliations":[{"id":56116,"text":"ARCA / ACNHE Spain","active":true,"usgs":false}],"preferred":false,"id":828759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber-Meyer, Shannon 0000-0002-3048-2616 sbarber-meyer@usgs.gov","orcid":"https://orcid.org/0000-0002-3048-2616","contributorId":191875,"corporation":false,"usgs":true,"family":"Barber-Meyer","given":"Shannon","email":"sbarber-meyer@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":828760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marti-Domken, Barbara","contributorId":268183,"corporation":false,"usgs":false,"family":"Marti-Domken","given":"Barbara","email":"","affiliations":[{"id":56116,"text":"ARCA / ACNHE Spain","active":true,"usgs":false}],"preferred":false,"id":828761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmidt, Lori J.","contributorId":245856,"corporation":false,"usgs":false,"family":"Schmidt","given":"Lori","email":"","middleInitial":"J.","affiliations":[{"id":49346,"text":"International Wolf Center, Ely, MN","active":true,"usgs":false}],"preferred":false,"id":828762,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228290,"text":"70228290 - 2022 - The statistical power to detect regional temporal trends in riverine contaminants in the Chesapeake Bay Watershed, USA","interactions":[],"lastModifiedDate":"2022-02-08T15:19:11.175812","indexId":"70228290","displayToPublicDate":"2021-12-21T09:03:48","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":"The statistical power to detect regional temporal trends in riverine contaminants in the Chesapeake Bay Watershed, USA","docAbstract":"Chemical contamination of riverine ecosystems is largely a result of urbanization, industrialization, and agricultural activities occurring on adjacent terrestrial landscapes. Land management activities (e.g., Best Management Practices) are an important tool used to reduce point and non-point sources of pollution. However, the ability to confidently make inferences about the efficacy of land management activities on reducing in-stream chemical concentrations is poorly understood. We estimated regional temporal trends and components of variation for commonly used herbicides (atrazine and metolachlor), total estrogenicity, and riverine sediment concentrations of total PCBs for rivers in the Chesapeake Bay Watershed, USA. We then used the estimated variance components to perform a power analysis and evaluated the statistical power to detect regional temporal trends under different monitoring scenarios. Scenarios included varying the magnitude of the annual contaminant decline, the number of sites sampled each year, the number of years sampled, and sampling frequency. Monitoring for short time periods (e.g., 5 years) was inadequate for detecting regional temporal trends, regardless of the number of sites sampled or the magnitude of the annual declines. Even when monitoring over a 20-year period, sampling a relatively large number of sites each year was required (e.g., > 50 sites) to achieve adequate statistical power for smaller trend magnitudes (declines of 5 – 7%/year). Annual sampling frequency had little impact on power for any monitoring scenario. All sampling scenarios were underpowered for sediment total PCBs. Power was greatest for total estrogenicity, suggesting that this aggregate measure of estrogenic activity may be a useful indicator. This study provides information that can be used to help (1) guide the development of monitoring programs aimed at detecting regional declines in riverine chemical contaminant concentrations in response to land management actions, and (2) set expectations for the ability to detect changes over time.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.152435","usgsCitation":"Wagner, T., McLaughlin, P., Smalling, K., Breitmeyer, S.E., Gordon, S.E., and Noe, G.E., 2022, The statistical power to detect regional temporal trends in riverine contaminants in the Chesapeake Bay Watershed, USA: Science of the Total Environment, v. 812, 152435, 10 p., https://doi.org/10.1016/j.scitotenv.2021.152435.","productDescription":"152435, 10 p.","ipdsId":"IP-133554","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience 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Center","active":true,"usgs":true}],"preferred":true,"id":833621,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":833622,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70227320,"text":"70227320 - 2022 - Influencing activity of bats by dimly lighting wind turbine surfaces with ultraviolet light","interactions":[],"lastModifiedDate":"2022-01-10T13:28:42.85742","indexId":"70227320","displayToPublicDate":"2021-12-21T07:25:15","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5762,"text":"Animals","active":true,"publicationSubtype":{"id":10}},"title":"Influencing activity of bats by dimly lighting wind turbine surfaces with ultraviolet light","docAbstract":"
Wind energy producers need deployable devices for wind turbines that prevent bat fatalities. Based on the speculation that bats approach turbines after visually mistaking them for trees, we tested a potential light-based deterrence method. It is likely that the affected bats see ultraviolet (UV) light at low intensities. Here, we present the results of a multi-month experiment to cast dim, flickering UV light across wind turbine surfaces at night. Our objectives were to refine and test a practical system for dimly UV-illuminating turbines while testing whether the experimental UV treatment influenced the activity of bats, birds, and insects. We mounted upward-facing UV light arrays on turbines and used thermal-imaging cameras to quantify the presence and activity of night-flying animals. The results demonstrated that the turbines can be lit to the highest reaches of the blades with “invisible” UV light, and the animal responses to such experimental treatment can be concurrently monitored. The UV treatment did not significantly change nighttime bat, insect, or bird activity at the wind turbine. Our findings show how observing flying animals with thermal cameras at night can help test emerging technologies intended to variably affect their behaviors around wind turbines.
","language":"English","publisher":"MDPI","doi":"10.3390/ani12010009","usgsCitation":"Cryan, P.M., Gorresen, M., Straw, B., Thao, S., and DeGeorge, E., 2022, Influencing activity of bats by dimly lighting wind turbine surfaces with ultraviolet light: Animals, v. 12, no. 1, 9, 23 p., https://doi.org/10.3390/ani12010009.","productDescription":"9, 23 p.","ipdsId":"IP-133625","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"links":[{"id":449385,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ani12010009","text":"Publisher Index Page"},{"id":436026,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9M0S3BV","text":"USGS data release","linkHelpText":"Bat, insect, and bird activity at a wind turbine in Colorado experimentally illuminated with ultraviolet light at night in 2019 to try and deter bats"},{"id":394096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Cryan, Paul M. 0000-0002-2915-8894 cryanp@usgs.gov","orcid":"https://orcid.org/0000-0002-2915-8894","contributorId":147942,"corporation":false,"usgs":true,"family":"Cryan","given":"Paul","email":"cryanp@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":830435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gorresen, Marcos 0000-0002-0707-9212","orcid":"https://orcid.org/0000-0002-0707-9212","contributorId":271019,"corporation":false,"usgs":true,"family":"Gorresen","given":"Marcos","email":"","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":830436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Straw, Bethany R. 0000-0001-9086-4600","orcid":"https://orcid.org/0000-0001-9086-4600","contributorId":271020,"corporation":false,"usgs":true,"family":"Straw","given":"Bethany","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":830437,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thao, Syhoune","contributorId":271021,"corporation":false,"usgs":false,"family":"Thao","given":"Syhoune","email":"","affiliations":[{"id":33782,"text":"National Renewable Energy Laboratory","active":true,"usgs":false}],"preferred":false,"id":830438,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeGeorge, Elise","contributorId":271022,"corporation":false,"usgs":false,"family":"DeGeorge","given":"Elise","email":"","affiliations":[{"id":33782,"text":"National Renewable Energy Laboratory","active":true,"usgs":false}],"preferred":false,"id":830439,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70230351,"text":"70230351 - 2022 - Some systemic risks to progress on seismic hazard assessment","interactions":[],"lastModifiedDate":"2022-04-08T12:08:35.277514","indexId":"70230351","displayToPublicDate":"2021-12-21T07:07:35","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Some systemic risks to progress on seismic hazard assessment","docAbstract":"

No abstract available.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220210268","usgsCitation":"Field, E.H., 2022, Some systemic risks to progress on seismic hazard assessment: Seismological Research Letters, v. 93, p. 513-516, https://doi.org/10.1785/0220210268.","productDescription":"4 p.","startPage":"513","endPage":"516","ipdsId":"IP-134690","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":398381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","noUsgsAuthors":false,"publicationDate":"2021-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":52242,"corporation":false,"usgs":true,"family":"Field","given":"Edward","email":"field@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":840047,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70227359,"text":"70227359 - 2022 - Marine paleoseismic evidence for seismic and aseismic slip along the Hayward-Rodgers Creek fault system in northern San Pablo Bay","interactions":[],"lastModifiedDate":"2022-01-11T13:04:24.507126","indexId":"70227359","displayToPublicDate":"2021-12-21T07:01:27","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Marine paleoseismic evidence for seismic and aseismic slip along the Hayward-Rodgers Creek fault system in northern San Pablo Bay","docAbstract":"

Distinguishing between seismic and aseismic fault slip in the geologic record is difficult, yet fundamental to estimating the seismic potential of faults and the likelihood of multi-fault ruptures. We integrated chirp sub-bottom imaging with targeted cross-fault coring and core analyses of sedimentary proxy data to characterize vertical deformation and slip behavior within an extensional fault bend along the Hayward-Rodgers Creek fault system in northern San Pablo Bay. We identified and traced four key seismic horizons (R1–R4), all younger than approximately 1400 CE, that cross the fault and extend throughout the basin. A stratigraphic age model was developed using detailed down-core radiocarbon and radioisotope dating combined with measurements of anthropogenic metal concentrations. The onset of hydraulic mining within the Sierra Nevada in 1852 CE left a clear geochemical and magnetic signature within core samples. This key time horizon was used to calculate a local reservoir correction and reduce uncertainty in radiocarbon age calibration and models. Vertical fault offset of strata younger than the most recent surface-rupturing earthquake on the Hayward fault in 1868 CE suggest near-surface vertical creep is occurring along the fault in northern San Pablo Bay at a rate of approximately 0.4 mm/yr. In addition, we present evidence of at least one and possibly two coseismic events associated with growth strata above horizons R1 and R2, with median event ages estimated to be 1400 CE and 1800 CE, respectively. The timing of both these events overlaps with paleoseismic events on adjacent fault sections, suggesting the possibility of multi-fault rupture.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021GC010180","usgsCitation":"Watt, J., McGann, M., Takesue, R.K., and Lorenson, T., 2022, Marine paleoseismic evidence for seismic and aseismic slip along the Hayward-Rodgers Creek fault system in northern San Pablo Bay: Geochemistry, Geophysics, Geosystems, v. 23, no. 1, e2021GC010180, 24 p., https://doi.org/10.1029/2021GC010180.","productDescription":"e2021GC010180, 24 p.","ipdsId":"IP-130855","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488290,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021gc010180","text":"Publisher Index Page"},{"id":394175,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Northern San Pablo Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.5689697265625,\n 37.801103690609615\n ],\n [\n -122.0745849609375,\n 37.801103690609615\n ],\n [\n -122.0745849609375,\n 38.26406296833961\n ],\n [\n -122.5689697265625,\n 38.26406296833961\n ],\n [\n -122.5689697265625,\n 37.801103690609615\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-12-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Watt, Janet 0000-0002-4759-3814","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":221271,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":830581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":169540,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":830582,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Takesue, Renee K. 0000-0003-1205-0825 rtakesue@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0825","contributorId":2159,"corporation":false,"usgs":true,"family":"Takesue","given":"Renee","email":"rtakesue@usgs.gov","middleInitial":"K.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":830583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lorenson, Thomas 0000-0001-7669-2873 tlorenson@usgs.gov","orcid":"https://orcid.org/0000-0001-7669-2873","contributorId":174599,"corporation":false,"usgs":true,"family":"Lorenson","given":"Thomas","email":"tlorenson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":830584,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228745,"text":"70228745 - 2022 - Progress in protecting air travel from volcanic ash clouds","interactions":[],"lastModifiedDate":"2022-02-17T13:02:40.679899","indexId":"70228745","displayToPublicDate":"2021-12-21T07:00:14","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Progress in protecting air travel from volcanic ash clouds","docAbstract":"

The Eyjafjallajökull eruption of 2010 demonstrated the far-reaching impact of ash clouds and the vulnerability of our jet-based society to them, prompting a review of procedures to detect, warn, and forecast ash cloud hazards to aviation. The years since 2010 have seen marked improvements in satellite technology, more accurate ash-dispersion models that integrate simulations with observations, and more thoroughly vetted and harmonized procedures for forecasting and communicating hazards. In the coming decade, we expect these trends to continue, with formal warning products migrating from text and simplified maps to 4D data streams. This paper details some of these advancements and challenges ahead.

","language":"English","publisher":"Springer","doi":"10.1007/s00445-021-01511-x","usgsCitation":"Mastin, L.G., Pavolonis, M.J., Engwell, S., Clarkson, R., Witham, C., Brock, G., Lisk, I., Guffanti, M.C., Tupper, A.C., Schneider, D.J., Beckett, F., Casadevall, T.J., and Rennie, G., 2022, Progress in protecting air travel from volcanic ash clouds: Bulletin of Volcanology, v. 84, 9, 9 p., https://doi.org/10.1007/s00445-021-01511-x.","productDescription":"9, 9 p.","ipdsId":"IP-129041","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":396091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","noUsgsAuthors":false,"publicationDate":"2021-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Mastin, Larry G. 0000-0002-4795-1992","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":265985,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":835261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pavolonis, Michael J.","contributorId":199297,"corporation":false,"usgs":false,"family":"Pavolonis","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":835262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Engwell, Samantha 0000-0001-7719-6257","orcid":"https://orcid.org/0000-0001-7719-6257","contributorId":251719,"corporation":false,"usgs":false,"family":"Engwell","given":"Samantha","email":"","affiliations":[{"id":25567,"text":"British Geological Survey","active":true,"usgs":false}],"preferred":false,"id":835263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clarkson, Rory 0000-0002-5215-1623","orcid":"https://orcid.org/0000-0002-5215-1623","contributorId":279648,"corporation":false,"usgs":false,"family":"Clarkson","given":"Rory","email":"","affiliations":[{"id":57326,"text":"Rolls-Royce","active":true,"usgs":false}],"preferred":false,"id":835264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Witham, Claire 0000-0001-5037-6987","orcid":"https://orcid.org/0000-0001-5037-6987","contributorId":279649,"corporation":false,"usgs":false,"family":"Witham","given":"Claire","email":"","affiliations":[{"id":39578,"text":"Met Office","active":true,"usgs":false}],"preferred":false,"id":835265,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brock, Greg","contributorId":279650,"corporation":false,"usgs":false,"family":"Brock","given":"Greg","email":"","affiliations":[{"id":57327,"text":"World Meteorological Organization","active":true,"usgs":false}],"preferred":false,"id":835266,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lisk, Ian","contributorId":279651,"corporation":false,"usgs":false,"family":"Lisk","given":"Ian","email":"","affiliations":[{"id":39578,"text":"Met Office","active":true,"usgs":false}],"preferred":false,"id":835267,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Guffanti, Marianne C. 0000-0002-3492-4362 guffanti@usgs.gov","orcid":"https://orcid.org/0000-0002-3492-4362","contributorId":279652,"corporation":false,"usgs":true,"family":"Guffanti","given":"Marianne","email":"guffanti@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":835268,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tupper, Andrew C.","contributorId":189115,"corporation":false,"usgs":false,"family":"Tupper","given":"Andrew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":835269,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schneider, David J. 0000-0001-9092-1054 djschneider@usgs.gov","orcid":"https://orcid.org/0000-0001-9092-1054","contributorId":198601,"corporation":false,"usgs":true,"family":"Schneider","given":"David","email":"djschneider@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":835270,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Beckett, Frances 0000-0001-9033-3930","orcid":"https://orcid.org/0000-0001-9033-3930","contributorId":279653,"corporation":false,"usgs":false,"family":"Beckett","given":"Frances","email":"","affiliations":[{"id":39578,"text":"Met Office","active":true,"usgs":false}],"preferred":false,"id":835271,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Casadevall, Thomas J. 0000-0002-9447-6864 tcasadevall@usgs.gov","orcid":"https://orcid.org/0000-0002-9447-6864","contributorId":2734,"corporation":false,"usgs":true,"family":"Casadevall","given":"Thomas","email":"tcasadevall@usgs.gov","middleInitial":"J.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":835272,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rennie, Graham","contributorId":279654,"corporation":false,"usgs":false,"family":"Rennie","given":"Graham","email":"","affiliations":[{"id":57328,"text":"International Air Transport Association","active":true,"usgs":false}],"preferred":false,"id":835273,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70249960,"text":"70249960 - 2022 - Post-seismic relaxation following the 2019 Ridgecrest, California, earthquake sequence","interactions":[],"lastModifiedDate":"2023-11-08T13:02:25.026896","indexId":"70249960","displayToPublicDate":"2021-12-21T06:58:18","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":"Post-seismic relaxation following the 2019 Ridgecrest, California, earthquake sequence","docAbstract":"

The 2019 Ridgecrest, California, earthquake sequence involved predominantly right‐lateral strike slip on a northwest–southeast‐trending subvertical fault in the 6 July M 7.1 mainshock, preceded by left‐lateral strike slip on a northeast–southwest‐trending subvertical fault in the 4 July M 6.4 foreshock. To characterize the postseismic deformation, we assemble displacements measured by Global Positioning System (GPS) and Interferometric Synthetic Aperture Radar. The geodetic measurements illuminate vigorous postseismic deformation for at least 21 months following the earthquake sequence. The postseismic transient deformation is particularly well constrained from survey‐mode GPS (sGPS) in the epicentral region carried out during the weeks after the mainshock. We interpret these observations with mechanical models including afterslip and viscoelastic relaxation of the lower crust and mantle asthenosphere. During the first 21 months, up to several centimeters of horizontal motions are measured at continuous GPS and sGPS sites, with amplitude that diminishes slowly with distance from the mainshock rupture, suggestive of deeper afterslip or viscoelastic relaxation. We find that although afterslip involving right‐lateral strike slip along the mainshock fault traces and their deeper extensions reach a few decimeters, most postseismic deformation is attributable to viscoelastic relaxation of the lower crust and mantle. Within the Basin and Range crust and mantle, we infer a transient lower crust viscosity several times that of the mantle asthenosphere. The transient mantle asthenosphere viscosity is ∼1.3×1017  Pa s\">

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120210170","usgsCitation":"Pollitz, F., Wicks, C., Svarc, J.L., Phillips, E.L., Brooks, B.A., Murray, M.H., and Turner, R.C., 2022, Post-seismic relaxation following the 2019 Ridgecrest, California, earthquake sequence: Bulletin of the Seismological Society of America, v. 112, no. 2, p. 734-749, https://doi.org/10.1785/0120210170.","productDescription":"16 p.","startPage":"734","endPage":"749","ipdsId":"IP-130236","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":422450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Ridgecrest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.73279465137877,\n 36.59151844962484\n ],\n [\n -118.73279465137877,\n 34.61311717458983\n ],\n [\n -116.27735031544128,\n 34.61311717458983\n ],\n [\n -116.27735031544128,\n 36.59151844962484\n ],\n [\n -118.73279465137877,\n 36.59151844962484\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"112","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":887818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wicks, Charles 0000-0002-0809-1328","orcid":"https://orcid.org/0000-0002-0809-1328","contributorId":9023,"corporation":false,"usgs":true,"family":"Wicks","given":"Charles","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":887819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Svarc, Jerry L. 0000-0002-2802-4528","orcid":"https://orcid.org/0000-0002-2802-4528","contributorId":212736,"corporation":false,"usgs":true,"family":"Svarc","given":"Jerry","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":887820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Ellen L. 0000-0003-3381-5428","orcid":"https://orcid.org/0000-0003-3381-5428","contributorId":331482,"corporation":false,"usgs":true,"family":"Phillips","given":"Ellen","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":887821,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brooks, Benjamin A. 0000-0001-7954-6281 bbrooks@usgs.gov","orcid":"https://orcid.org/0000-0001-7954-6281","contributorId":5237,"corporation":false,"usgs":true,"family":"Brooks","given":"Benjamin","email":"bbrooks@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":887822,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murray, Mark Hunter 0000-0003-4862-5547","orcid":"https://orcid.org/0000-0003-4862-5547","contributorId":300982,"corporation":false,"usgs":true,"family":"Murray","given":"Mark","email":"","middleInitial":"Hunter","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":887823,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Turner, Ryan C. 0000-0003-0732-5951","orcid":"https://orcid.org/0000-0003-0732-5951","contributorId":331484,"corporation":false,"usgs":false,"family":"Turner","given":"Ryan","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":887824,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70226962,"text":"70226962 - 2022 - Strengthening local volcano observatories through global collaborations","interactions":[],"lastModifiedDate":"2021-12-22T12:48:33.610111","indexId":"70226962","displayToPublicDate":"2021-12-21T06:47:32","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Strengthening local volcano observatories through global collaborations","docAbstract":"

We consider the future of volcano observatories in a world where new satellite technologies and global data initiatives have greatly expanded over the last two decades. Observatories remain the critical tie between the decision-making authorities and monitoring data. In the coming decade, the global scientific community needs to continue to collaborate in a manner that will strengthen volcano observatories while building those databases and scientific models that allow us to improve forecasts of eruptions and mitigate their impacts. Observatories in turn need to contribute data to allow these international collaborations to prosper.

","language":"English","publisher":"Springer","doi":"10.1007/s00445-021-01512-w","usgsCitation":"Lowenstern, J.B., Ewert, J., and Lockhart, A., 2022, Strengthening local volcano observatories through global collaborations: Bulletin of Volcanology, v. 84, 10, 9 p., https://doi.org/10.1007/s00445-021-01512-w.","productDescription":"10, 9 p.","ipdsId":"IP-131064","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":449393,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-021-01512-w","text":"Publisher Index Page"},{"id":393292,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","noUsgsAuthors":false,"publicationDate":"2021-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":828948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ewert, John W. 0000-0003-2819-4057","orcid":"https://orcid.org/0000-0003-2819-4057","contributorId":204745,"corporation":false,"usgs":true,"family":"Ewert","given":"John W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":828949,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lockhart, Andrew 0000-0002-1591-3254 ablock@usgs.gov","orcid":"https://orcid.org/0000-0002-1591-3254","contributorId":204748,"corporation":false,"usgs":true,"family":"Lockhart","given":"Andrew","email":"ablock@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":828950,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70246252,"text":"70246252 - 2022 - Volcanic air pollution and human health: Recent advances and future directions","interactions":[],"lastModifiedDate":"2023-06-28T11:44:25.229158","indexId":"70246252","displayToPublicDate":"2021-12-21T06:35:51","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Volcanic air pollution and human health: Recent advances and future directions","docAbstract":"

Volcanic air pollution from both explosive and effusive activity can affect large populations as far as thousands of kilometers away from the source, for days to decades or even centuries. Here, we summarize key advances and prospects in the assessment of health hazards, effects, risk, and management. Recent advances include standardized ash assessment methods to characterize the multiple physicochemical characteristics that might influence toxicity; the rise of community-based air quality monitoring networks using low-cost gas and particulate sensors; the development of forecasting methods for ground-level concentrations and associated public advisories; the development of risk and impact assessment methods to explore health consequences of future eruptions; and the development of evidence-based, locally specific measures for health protection. However, it remains problematic that the health effects of many major and sometimes long-duration eruptions near large populations have gone completely unmonitored. Similarly, effects of prolonged degassing on exposed populations have received very little attention relative to explosive eruptions. Furthermore, very few studies have longitudinally followed populations chronically exposed to volcanic emissions; thus, knowledge gaps remain about whether chronic exposures can trigger development of potentially fatal diseases. Instigating such studies will be facilitated by continued co-development of standardized protocols, supporting local study teams and procuring equipment, funding, and ethical permissions. Relationship building between visiting researchers and host country academic, observatory, and agency partners is vital and can, in turn, support the effective communication of health impacts of volcanic air pollution to populations, health practitioners, and emergency managers.

","language":"English","publisher":"Springer","doi":"10.1007/s00445-021-01513-9","usgsCitation":"Stewart, C., Damby, D., Horwell, C.J., Elias, T., Ilyinskaya, E., Tomasek, I., Longo, B., Schmidt, A., Carlsen, H., Mason, E., Baxter, P.J., Cronin, S., and Witham, C., 2022, Volcanic air pollution and human health: Recent advances and future directions: Bulletin of Volcanology, v. 84, 11, 25 p., https://doi.org/10.1007/s00445-021-01513-9.","productDescription":"11, 25 p.","ipdsId":"IP-132854","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":449394,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-021-01513-9","text":"Publisher Index Page"},{"id":418575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","noUsgsAuthors":false,"publicationDate":"2021-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Stewart, Carol","contributorId":236960,"corporation":false,"usgs":false,"family":"Stewart","given":"Carol","email":"","affiliations":[{"id":47573,"text":"Massey University, NZ","active":true,"usgs":false}],"preferred":false,"id":876413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Damby, David 0000-0002-3238-3961","orcid":"https://orcid.org/0000-0002-3238-3961","contributorId":206614,"corporation":false,"usgs":true,"family":"Damby","given":"David","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":876414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horwell, Claire J.","contributorId":177455,"corporation":false,"usgs":false,"family":"Horwell","given":"Claire","email":"","middleInitial":"J.","affiliations":[{"id":16770,"text":"Dept. Earth Sciences, Durham University, UK","active":true,"usgs":false}],"preferred":false,"id":876415,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elias, Tamar 0000-0002-9592-4518 telias@usgs.gov","orcid":"https://orcid.org/0000-0002-9592-4518","contributorId":3916,"corporation":false,"usgs":true,"family":"Elias","given":"Tamar","email":"telias@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":876416,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ilyinskaya, Evgenia","contributorId":315384,"corporation":false,"usgs":false,"family":"Ilyinskaya","given":"Evgenia","email":"","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":876417,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tomasek, Ines","contributorId":205741,"corporation":false,"usgs":false,"family":"Tomasek","given":"Ines","email":"","affiliations":[{"id":37158,"text":"Institute of Hazard, Risk & Resilience, Department of Earth Sciences, Durham University, UK","active":true,"usgs":false}],"preferred":false,"id":876418,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Longo, Bernadette","contributorId":315385,"corporation":false,"usgs":false,"family":"Longo","given":"Bernadette","email":"","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":876419,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schmidt, Anja","contributorId":260391,"corporation":false,"usgs":false,"family":"Schmidt","given":"Anja","email":"","affiliations":[{"id":52574,"text":"University of Cambridge, UK","active":true,"usgs":false}],"preferred":false,"id":876420,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carlsen, Hanne","contributorId":315386,"corporation":false,"usgs":false,"family":"Carlsen","given":"Hanne","email":"","affiliations":[{"id":36649,"text":"University of Iceland","active":true,"usgs":false}],"preferred":false,"id":876421,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mason, Emily","contributorId":315387,"corporation":false,"usgs":false,"family":"Mason","given":"Emily","email":"","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":876422,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Baxter, Peter J.","contributorId":201839,"corporation":false,"usgs":false,"family":"Baxter","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":876423,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cronin, Shane","contributorId":236965,"corporation":false,"usgs":false,"family":"Cronin","given":"Shane","affiliations":[{"id":26898,"text":"University of Auckland, New Zealand","active":true,"usgs":false}],"preferred":false,"id":876424,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Witham, Claire 0000-0001-5037-6987","orcid":"https://orcid.org/0000-0001-5037-6987","contributorId":279649,"corporation":false,"usgs":false,"family":"Witham","given":"Claire","email":"","affiliations":[{"id":39578,"text":"Met Office","active":true,"usgs":false}],"preferred":false,"id":876425,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70226977,"text":"70226977 - 2022 - Genetic variation in sea otters (Enhydra lutris) from the North Pacific with relevance to the threatened Southwest Alaska Distinct Population Segment","interactions":[],"lastModifiedDate":"2022-07-07T16:30:36.665143","indexId":"70226977","displayToPublicDate":"2021-12-20T07:25:49","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2671,"text":"Marine Mammal Science","active":true,"publicationSubtype":{"id":10}},"title":"Genetic variation in sea otters (Enhydra lutris) from the North Pacific with relevance to the threatened Southwest Alaska Distinct Population Segment","docAbstract":"

For the sea otter (Enhydra lutris), genetic population structure is an area of research that has not received significant attention, especially in Southwest Alaska where that distinct population segment has been listed as threatened since 2005 pursuant to the U.S. Endangered Species Act. In this study, 501 samples from 14 locations from Prince William Sound, Alaska to the Commander Islands in Russia were analyzed for variation at 13 microsatellite loci. Our results indicate a high degree of genetic divergence among the 14 locations (FST = 0.120) with gene flow conforming to the isolation by distance (IBD) model (r2 = 0.491, p < .05). The 14 sampling locations formed six geographic associations in clustering and ordination analyses that likely correspond to remnant population lineages: (1) Southcentral Alaska, (2) Kodiak and North Alaska Peninsula, (3) South Alaska Peninsula and Bristol Bay, (4) Eastern Aleutian, (5) Western Aleutian, and (6) the Commander Islands. Except for South Alaska Peninsula and Bristol Bay, these clusters closely agree with previously defined stock and management unit boundaries. Our results reveal significant genetic population structure and are generally congruent with current management strategies for the threatened Southwest Alaska distinct population segment.

","language":"English","publisher":"Wiley","doi":"10.1111/mms.12899","usgsCitation":"Flannery, B.G., Russ, O.L., St. Martin, M., Beatty, W.S., Worman, K., Garlich-Miller, J., Gill, V., Lemons, P.R., Monson, D., Kloecker, K.A., Esler, D., and Wenburg, J., 2022, Genetic variation in sea otters (Enhydra lutris) from the North Pacific with relevance to the threatened Southwest Alaska Distinct Population Segment: Marine Mammal Science, v. 38, no. 3, p. 858-880, https://doi.org/10.1111/mms.12899.","productDescription":"23 p.","startPage":"858","endPage":"880","ipdsId":"IP-118770","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":488539,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/mms.12899","text":"Publisher Index Page"},{"id":393350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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piers","interactions":[],"lastModifiedDate":"2022-04-12T12:04:18.429426","indexId":"70230413","displayToPublicDate":"2021-12-20T07:00:40","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Capture vulnerability of sea turtles on recreational fishing piers","docAbstract":"

Capture vulnerability of commercial and recreational fishes has been associated with behavioral, morphological, and life-history traits; however, relationships with non-target species, such as sea turtles, have not been adequately studied. We examined species composition, timing of captures, morphological variables including body size and head width, and body condition of sea turtles captured from a recreational fishing pier in the northern Gulf of Mexico and of sea turtles captured in the waters adjacent to the pier. From 2014 to 2019, 148 net captures and 112 pier captures of three sea turtle species were documented. Green turtles were captured most frequently in the net and on the pier. Turtles captured from the pier were larger than those captured in the net. There was no difference in head width between net-caught and pier-caught turtles; however, small sample sizes limited those comparisons. The body condition index was lower for pier-caught than net-caught Kemp’;s ridleys but did not differ with green turtles or loggerheads. Differences were also observed in the timing of capture on the pier as compared to in the net. Finally, the relationship between size, body condition, and pier-capture vulnerability suggests these are complex interactions. Mortality of sea turtles captured from fishing piers could be selecting against bolder individuals, which may result in changes in sea turtle population demographics over a long time period.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.8473","usgsCitation":"Lamont, M., Mollenhauer, R.M., and Foley, A.M., 2022, Capture vulnerability of sea turtles on recreational fishing piers: Ecology and Evolution, no. 12, e8473, 13 p., https://doi.org/10.1002/ece3.8473.","productDescription":"e8473, 13 p.","ipdsId":"IP-131034","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":449396,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ece3.8473","text":"External Repository"},{"id":398531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Navarre Beach, Santa Rosa Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.16278076171875,\n 30.313616689930676\n ],\n [\n -86.517333984375,\n 30.313616689930676\n ],\n [\n -86.517333984375,\n 30.441570071519468\n ],\n [\n -87.16278076171875,\n 30.441570071519468\n ],\n [\n -87.16278076171875,\n 30.313616689930676\n ]\n ]\n ]\n }\n }\n ]\n}","issue":"12","edition":"1","noUsgsAuthors":false,"publicationDate":"2021-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Lamont, Margaret 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":211374,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":840378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mollenhauer, Robert Michael 0000-0002-4033-8685","orcid":"https://orcid.org/0000-0002-4033-8685","contributorId":290165,"corporation":false,"usgs":true,"family":"Mollenhauer","given":"Robert","email":"","middleInitial":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":840379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foley, Allen M.","contributorId":195874,"corporation":false,"usgs":false,"family":"Foley","given":"Allen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":840380,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70227053,"text":"70227053 - 2022 - Effects of stream intermittency on minnow (Leuciscidae) and darter (Percidae) trophic dynamics in an agricultural watershed","interactions":[],"lastModifiedDate":"2022-06-16T15:11:44.759721","indexId":"70227053","displayToPublicDate":"2021-12-19T08:41:08","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9968,"text":"Ecology of Freshwater Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Effects of stream intermittency on minnow (Leuciscidae) and darter (Percidae) trophic dynamics in an agricultural watershed","docAbstract":"

Stream intermittency is predicted to increase where water withdrawals and climate warming are increasing. In regions coupled with high fish diversity, understanding how intermittency influences fish trophic ecology is critical for informing ecosystem function. This study compared fish diets across seasons in perennial and intermittent streams to estimate the immediate and cumulative effects of stream drying on fish foraging patterns. We used gut content analysis to compare the diets of small-bodied, secondary consumer fishes, including two minnow and three darter species found in the lower Flint River Basin of southwestern Georgia, during both the summer (before stream dry-down) and fall (post flow resumption) seasons. Fish communities in perennial streams had greater diet richness compared to fishes in intermittent streams for both seasons. Darter diets were characterised by rheophilic aquatic insects in perennial streams and by benthic crustaceans (copepods, cladocerans and isopods) and predatory aquatic insects in intermittent streams. Minnow diets were typified by freshwater sponges, eggs and organic detritus in intermittent streams and by terrestrial insects and diatoms in perennial streams. Fishes in intermittent streams consumed significantly more benthic crustaceans in the fall (37% increase in proportional volume) compared to preflow cessation conditions in the summer, suggesting these organisms play an important, yet relatively unrecognised role in supporting fish communities in southeastern streams. Our findings enhance our understanding of how stream intermittency influences the trophic dynamics of secondary consumer fishes in an agricultural watershed increasingly affected by water scarcity.

","language":"English","publisher":"Wiley","doi":"10.1111/eff.12649","usgsCitation":"Fallon, C.E., Capps, K., Freeman, M., Smith, C.R., and Golladay, S.W., 2022, Effects of stream intermittency on minnow (Leuciscidae) and darter (Percidae) trophic dynamics in an agricultural watershed: Ecology of Freshwater Fishes, v. 31, no. 3, p. 544-558, https://doi.org/10.1111/eff.12649.","productDescription":"15 p.","startPage":"544","endPage":"558","ipdsId":"IP-132426","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":393496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.957275390625,\n 31.11879439598953\n ],\n [\n -83.91357421875,\n 31.11879439598953\n ],\n [\n -83.91357421875,\n 32.05464469054932\n ],\n [\n -84.957275390625,\n 32.05464469054932\n ],\n [\n -84.957275390625,\n 31.11879439598953\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Fallon, Christine E.","contributorId":270489,"corporation":false,"usgs":false,"family":"Fallon","given":"Christine","email":"","middleInitial":"E.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":829398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Capps, Krista A.","contributorId":270490,"corporation":false,"usgs":false,"family":"Capps","given":"Krista A.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":829399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":829400,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Chelsea R.","contributorId":270491,"corporation":false,"usgs":false,"family":"Smith","given":"Chelsea","email":"","middleInitial":"R.","affiliations":[{"id":56171,"text":"The Jones Center at Ichauway","active":true,"usgs":false}],"preferred":false,"id":829401,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Golladay, Stephen W.","contributorId":223819,"corporation":false,"usgs":false,"family":"Golladay","given":"Stephen","email":"","middleInitial":"W.","affiliations":[{"id":37541,"text":"Joseph W. Jones Ecological Research Center","active":true,"usgs":false}],"preferred":false,"id":829402,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70228308,"text":"70228308 - 2022 - Late Holocene environmental change in Celestun Lagoon, Yucatan, Mexico","interactions":[],"lastModifiedDate":"2022-02-08T13:23:37.260872","indexId":"70228308","displayToPublicDate":"2021-12-18T07:14:31","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2411,"text":"Journal of Paleolimnology","active":true,"publicationSubtype":{"id":10}},"title":"Late Holocene environmental change in Celestun Lagoon, Yucatan, Mexico","docAbstract":"

Epikarst estuary response to hydroclimate change remains poorly understood, despite the well-studied link between climate and karst groundwater aquifers. The influence of sea-level rise and coastal geomorphic change on these estuaries obscures climate signals, thus requiring careful development of paleoenvironmental histories to interpret the paleoclimate archives. We used foraminifera assemblages, carbon stable isotope ratios (δ13C) and carbon:nitrogen (C:N) mass ratios of organic matter in sediment cores to infer environmental changes over the past 5300 years in Celestun Lagoon, Yucatan, Mexico. Specimens (> 125 µm) from modern core top sediments revealed three assemblages: (1) a brackish mangrove assemblage of agglutinated Miliammina and Ammotium taxa and hyaline Haynesina (2) an inner-shelf marine assemblage of Bolivina, Hanzawaia, and Rosalina, and (3) a brackish assemblage dominated by Ammonia and Elphidium. Assemblages changed along the lagoon channel in response to changes in salinity and vegetation, i.e. seagrass and mangrove. In addition to these three foraminifera assemblages, lagoon sediments deposited since 5300 cal yr BP are comprised of two more assemblages, defined by Archaias and Laevipeneroplis, which indicate marine Thalassia seagrasses, and Trichohyalus, which indicates restricted inland mangrove ponds. Our data suggest that Celestun Lagoon displayed four phases of development: (1) an inland mangrove pond (5300 BP) (2) a shallow unprotected coastline with marine seagrass and barrier island initiation (4900 BP) (3) a protected brackish lagoon (3000 BP), and (4) a protected lagoon surrounded by mangroves (1700 BP). Stratigraphic (temporal) changes in core assemblages resemble spatial differences in communities across the modern lagoon, from the southern marine sector to the northern brackish region. Similar temporal patterns have been reported from other Yucatan Peninsula lagoons and from cenotes (Nichupte, Aktun Ha), suggesting a regional coastal response to sea level rise and climate change, including geomorphic controls (longshore drift) on lagoon salinity, as observed today. Holocene barrier island development progressively protected the northwest Yucatan Peninsula coastline, reducing mixing between seawater and rain-fed submarine groundwater discharge. Superimposed on this geomorphic signal, assemblage changes that are observed reflect the most severe regional wet and dry climate episodes, which coincide with paleoclimate records from lowland lake archives (Chichancanab, Salpeten). Our results emphasize the need to consider coastal geomorphic evolution when using epikarst estuary and lagoon sediment archives for paleoclimate reconstruction and provide evidence of hydroclimate changes on the Yucatan Peninsula.

","language":"English","publisher":"Springer","doi":"10.1007/s10933-021-00227-4","usgsCitation":"Hardage, K., Street, J., Herrera-Silveira, J.A., Oberle, F.K., and Paytan, A., 2022, Late Holocene environmental change in Celestun Lagoon, Yucatan, Mexico: Journal of Paleolimnology, v. 67, p. 131-162, https://doi.org/10.1007/s10933-021-00227-4.","productDescription":"32 p.","startPage":"131","endPage":"162","ipdsId":"IP-118262","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":449400,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10933-021-00227-4","text":"Publisher Index Page"},{"id":395609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Yucatan, Celestun Lagoon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.516357421875,\n 20.478481600090568\n ],\n [\n -89.901123046875,\n 20.478481600090568\n ],\n [\n -89.901123046875,\n 21.17672864097083\n ],\n [\n -90.516357421875,\n 21.17672864097083\n ],\n [\n -90.516357421875,\n 20.478481600090568\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"67","noUsgsAuthors":false,"publicationDate":"2021-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Hardage, Kyle 0000-0002-7479-438X","orcid":"https://orcid.org/0000-0002-7479-438X","contributorId":275109,"corporation":false,"usgs":false,"family":"Hardage","given":"Kyle","email":"","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":833654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Street, Joseph","contributorId":275111,"corporation":false,"usgs":false,"family":"Street","given":"Joseph","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":833655,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herrera-Silveira, Jorge A. 0000-0003-1473-7620","orcid":"https://orcid.org/0000-0003-1473-7620","contributorId":275115,"corporation":false,"usgs":false,"family":"Herrera-Silveira","given":"Jorge","email":"","middleInitial":"A.","affiliations":[{"id":56707,"text":"CINVESTAV Unidad Mérida","active":true,"usgs":false}],"preferred":false,"id":833656,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oberle, Ferdinand K.J. 0000-0001-8871-3619","orcid":"https://orcid.org/0000-0001-8871-3619","contributorId":214402,"corporation":false,"usgs":true,"family":"Oberle","given":"Ferdinand","middleInitial":"K.J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":833657,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paytan, Adina 0000-0001-8360-4712","orcid":"https://orcid.org/0000-0001-8360-4712","contributorId":193046,"corporation":false,"usgs":false,"family":"Paytan","given":"Adina","email":"","affiliations":[],"preferred":false,"id":833658,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70226879,"text":"70226879 - 2022 - Data-driven prospectivity modelling of sediment-hosted Zn-Pb mineral systems and their critical raw materials","interactions":[],"lastModifiedDate":"2021-12-17T15:12:03.166515","indexId":"70226879","displayToPublicDate":"2021-12-17T08:50:07","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Data-driven prospectivity modelling of sediment-hosted Zn-Pb mineral systems and their critical raw materials","docAbstract":"

Demand for critical raw materials is expected to accelerate over the next few decades due to continued population growth and the shifting consumption patterns of the global economy. Sedimentary basins are important sources for critical raw materials and new discoveries of sediment–hosted Mississippi Valley–type (MVT) and/or clastic–dominated (CD) Zn–Pb deposits are likely required to mitigate future supply chain disruptions for Zn, Pb, Ag, Cd, Ga, Ge, Sb, and In. Herein we integrate public geoscience datasets using a discrete global grid to system to model the mineral potential for MVT and CD deposits across Canada, the United States of America, and Australia. Statistical analysis of the model results demonstrates that surface–wave tomography and derivative products from satellite gravity datasets can be used to map the most favourable paleo–tectonic settings of MVT and CD deposits inboard of orogenic belts and at the rifted edges of cratonic lithosphere, respectively. Basin development at pre–existing crustal boundaries was likely important for maintaining the low geothermal–gradients that are favourable for metal transport and generating the crustal fluid pathways that were reactivated during ore–formation, as suggested by the statistical association of both sediment–hosted mineral deposit types with the edges of upward–continued gravity and long–wavelength magnetic anomalies. Multivariate statistical analysis demonstrates that the most prospective combination of these geophysical datasets varies for each geological region and deposit type. We further demonstrate that maximum and minimum geological ages, coupled with Phanerozoic paleogeographic reconstructions, represent mappable proxies for the availability of oxidized, brine–generating regions that are the most likely source of ore–forming fluids (e.g., low– to mid–latitude carbonate platforms and evaporites). Ore deposition was likely controlled by interaction between oxidized, low–temperature brines and sulfidic and/or carbonaceous rocks, which, in some cases, can be mapped at the exposed surface or identified using the available rock descriptions. Baseline weights–of–evidence models are based on regional geophysics and are the least impacted by missing surface information but yield relatively poor results, as demonstrated by the low area–under–the–curve (AUC) for the spatially independent test set on the success–rate plot (AUC = 0.787 for MVT and AUC = 0.870 for CD). Model performance can be improved by: (1) using advanced methods that were trained and validated during a series of semi–automated machine learning competitions; and/or (2) incorporating geological and geophysical datasets that are proxies for each component of the mineral system. The best–performing gradient boosting machine models yield higher AUC for the test set (AUC = 0.983 for MVT and AUC = 0.991 for CD) and reduce the search space by >94%. The model results highlight the potential benefits of mapping sediment–hosted mineral systems at continental scale to improve mineral exploration targeting for critical raw materials.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2021.104635","usgsCitation":"Lawley, C.J., McCafferty, A.E., Graham, G.E., Huston, D.L., Kelley, K.D., Czarnota, K., Paradis, S., Peter, J.M., Hayward, N., Barlow, M., Emsbo, P., Coyan, J.A., San Juan, C.A., and Gadd, M.G., 2022, Data-driven prospectivity modelling of sediment-hosted Zn-Pb mineral systems and their critical raw materials: Ore Geology Reviews, v. 141, p. 1-23, https://doi.org/10.1016/j.oregeorev.2021.104635.","productDescription":"104635, 23 p.","startPage":"1","endPage":"23","ipdsId":"IP-132045","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":449402,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.oregeorev.2021.104635","text":"Publisher Index Page"},{"id":436028,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P970GDD5","text":"USGS 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