{"pageNumber":"22","pageRowStart":"525","pageSize":"25","recordCount":4111,"records":[{"id":70229801,"text":"70229801 - 2022 - Pedigree analysis and estimates of effective breeding size characterize sea lamprey reproductive biology","interactions":[],"lastModifiedDate":"2022-04-12T13:48:18.269255","indexId":"70229801","displayToPublicDate":"2022-03-17T09:43:55","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"title":"Pedigree analysis and estimates of effective breeding size characterize sea lamprey reproductive biology","docAbstract":"<p>The sea lamprey (<i>Petromyzon marinus</i>) is an invasive species in the Great Lakes and the focus of a large control and assessment program. Current assessment methods provide information on the census size of spawning adult sea lamprey in a small number of streams, but information characterizing reproductive success of spawning adults is rarely available. We used RAD-capture sequencing to genotype single nucleotide polymorphism (SNP) loci for ~1600&nbsp;sea lamprey larvae collected from three streams in northern Michigan (Black Mallard, Pigeon, and Ocqueoc Rivers). Larval genotypes were used to reconstruct family pedigrees, which were combined with Gaussian mixture analyses to identify larval age classes for estimation of spawning population size. Two complementary estimates of effective breeding size (<i>N</i><sub>b</sub>), as well as the extrapolated minimum number of spawners (<i>N</i><sub>s</sub>), were also generated for each cohort. Reconstructed pedigrees highlighted inaccuracies of cohort assignments from traditionally used mixture analyses. However, combining genotype-based pedigree information with length-at-age assignment of cohort membership greatly improved cohort identification accuracy. Population estimates across all three streams sampled in this study indicate a small number of successfully spawning adults when barriers were in operation, implying that barriers limited adult spawning numbers but were not completely effective at blocking access to spawning habitats. Thus, the large numbers of larvae present in sampled systems were a poor indicator of spawning adult abundance. Overall, pedigree-based<span>&nbsp;</span><i>N</i><sub>b</sub><span>&nbsp;</span>and<span>&nbsp;</span><i>N</i><sub>s</sub><span>&nbsp;</span>estimates provide a promising and rapid assessment tool for sea lamprey and other species.</p>","language":"English","publisher":"Wiley","doi":"10.1111/eva.13364","usgsCitation":"Weise, E.M., Scribner, K.T., Adams, J.V., Boeberitz, O., Jubar, A.K., Bravener, G., Johnson, N.S., and Robinson, J.D., 2022, Pedigree analysis and estimates of effective breeding size characterize sea lamprey reproductive biology: Evolutionary Applications, v. 15, no. 3, p. 484-500, https://doi.org/10.1111/eva.13364.","productDescription":"17 p.","startPage":"484","endPage":"500","ipdsId":"IP-130783","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":448450,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/eva.13364","text":"External Repository"},{"id":397235,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Black Mallard River, Ocqueoc River, Pigeon River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.48211669921875,\n              45.408092022812276\n            ],\n            [\n              -84.21501159667969,\n              45.408092022812276\n            ],\n            [\n              -84.21501159667969,\n              45.6716438522655\n            ],\n            [\n              -84.48211669921875,\n              45.6716438522655\n            ],\n            [\n              -84.48211669921875,\n              45.408092022812276\n            ]\n          ]\n        ]\n      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Division","active":false,"usgs":true}],"preferred":false,"id":838311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":838312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boeberitz, Olivia","contributorId":288848,"corporation":false,"usgs":false,"family":"Boeberitz","given":"Olivia","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":838313,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jubar, Aaron K.","contributorId":150999,"corporation":false,"usgs":false,"family":"Jubar","given":"Aaron","email":"","middleInitial":"K.","affiliations":[{"id":18161,"text":"US Fish and Wildlife Service, Lundington Biological Station","active":true,"usgs":false}],"preferred":false,"id":838314,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bravener, Gale","contributorId":150995,"corporation":false,"usgs":false,"family":"Bravener","given":"Gale","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":838315,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":838316,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Robinson, John D.","contributorId":288851,"corporation":false,"usgs":false,"family":"Robinson","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":838317,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70231906,"text":"70231906 - 2022 - GW/SW-MST: A groundwater/surface-water method selection tool","interactions":[],"lastModifiedDate":"2022-11-16T16:51:50.333401","indexId":"70231906","displayToPublicDate":"2022-03-16T09:48:47","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":"GW/SW-MST: A groundwater/surface-water method selection tool","docAbstract":"<p><span>Groundwater/surface-water (GW/SW) exchange and hyporheic processes are topics receiving increasing attention from the hydrologic community. Hydraulic, chemical, temperature, geophysical, and remote sensing methods are used to achieve various goals (e.g., inference of GW/SW exchange, mapping of bed materials, etc.), but the application of these methods is constrained by site conditions such as water depth, specific conductance, bed material, and other factors. Researchers and environmental professionals working on GW/SW problems come from diverse fields and rarely have expertise in all available field methods; hence there is a need for guidance to design field campaigns and select methods that both contribute to study goals and are likely to work under site-specific conditions. Here, we present the spreadsheet-based GW/SW-Method Selection Tool (GW/SW-MST) to help practitioners identify methods for use in GW/SW and hyporheic studies. The GW/SW-MST is a Microsoft Excel-based decision support tool in which the user selects answers to questions about GW/SW-related study goals and site parameters and characteristics. Based on user input, the tool indicates which methods from a toolbox of 32 methods could potentially contribute to achieving the specified goals at the site described.</span></p>","language":"English","publisher":"National Groundwater Association (NGWA)","doi":"10.1111/gwat.13194","usgsCitation":"Hammett, S., Day-Lewis, F., Trottier, B.R., Barlow, P.M., Briggs, M., Delin, G.N., Harvey, J., Johnson, C., Lane, J., Rosenberry, D., and Werkema, D.D., 2022, GW/SW-MST: A groundwater/surface-water method selection tool: Groundwater, v. 60, no. 6, p. 784-791, https://doi.org/10.1111/gwat.13194.","productDescription":"8 p.","startPage":"784","endPage":"791","ipdsId":"IP-128682","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":448467,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9477975","text":"Publisher Index Page"},{"id":435922,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YFJALF","text":"USGS data release","linkHelpText":"GW/SW-MST: A Groundwater/Surface-Water Method Selection Tool"},{"id":401640,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-04-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Hammett, Steven 0000-0002-6051-966X","orcid":"https://orcid.org/0000-0002-6051-966X","contributorId":292207,"corporation":false,"usgs":false,"family":"Hammett","given":"Steven","email":"","affiliations":[{"id":38050,"text":"Contractor","active":true,"usgs":false}],"preferred":false,"id":844072,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick 0000-0003-3526-886X","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":216359,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":844073,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trottier, Brett Russell 0000-0002-6148-0875","orcid":"https://orcid.org/0000-0002-6148-0875","contributorId":291383,"corporation":false,"usgs":true,"family":"Trottier","given":"Brett","email":"","middleInitial":"Russell","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":844080,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barlow, Paul M. 0000-0003-4247-6456 pbarlow@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6456","contributorId":1200,"corporation":false,"usgs":true,"family":"Barlow","given":"Paul","email":"pbarlow@usgs.gov","middleInitial":"M.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":844074,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":257637,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":844075,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Delin, Geoffrey N. 0000-0001-7991-6158","orcid":"https://orcid.org/0000-0001-7991-6158","contributorId":224981,"corporation":false,"usgs":true,"family":"Delin","given":"Geoffrey","email":"","middleInitial":"N.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":844076,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harvey, Judson 0000-0002-2654-9873","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":219104,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":844077,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, Carole D. 0000-0001-6941-1578","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":245365,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":844082,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lane, John W. Jr. 0000-0002-3558-243X","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":210076,"corporation":false,"usgs":true,"family":"Lane","given":"John W.","suffix":"Jr.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":844078,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rosenberry, D.O. 0000-0003-0681-5641","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":38500,"corporation":false,"usgs":true,"family":"Rosenberry","given":"D.O.","affiliations":[],"preferred":true,"id":844079,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Werkema, Dale D.","contributorId":40488,"corporation":false,"usgs":false,"family":"Werkema","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":844081,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70232907,"text":"70232907 - 2022 - Coupling validation effort with in situ bioacoustic data improves estimating relative activity and occupancy for multiple species with cross-species misclassifications","interactions":[],"lastModifiedDate":"2022-07-13T12:14:14.991953","indexId":"70232907","displayToPublicDate":"2022-03-16T07:07:28","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Coupling validation effort with in situ bioacoustic data improves estimating relative activity and occupancy for multiple species with cross-species misclassifications","docAbstract":"<ol class=\"\"><li>The increasing complexity and pace of ecological change requires natural resource managers to consider entire species assemblages. Acoustic recording units (ARUs) require minimal cost and effort to deploy and inform relative activity, or encounter rates, for multiple species simultaneously. ARU-based surveys require post-processing of the recordings via software algorithms that assign a species label to each recording. The automated classification process can result in cross-species misidentifications that should be accounted for when employing statistical modelling for conservation decision-making.</li><li>Using simulation and ARU-based detection counts from 17 bat species in British Columbia, Canada, we investigate three strategies for adjusting statistical inference for species misclassification: (a) ‘coupling’ ambiguous and unambiguous detections by validating a subset of survey events post-hoc, (b) using a calibration dataset on the software algorithm's (in)accuracy for species identification or (c) specifying informative Bayesian priors on classification probabilities. We explore the impact of different Bayesian prior specifications for the classification probabilities on posterior estimation. We then consider how the quantity of data validated post-hoc impacts model convergence and resulting inferences for bat species relative activity as related to nightly conditions and yearly site occupancy after accounting for site-level environmental variables.</li><li>Coupled methods resulted in less bias and uncertainty when estimating relative activity and species classification probabilities relative to calibration approaches. We found that species that were difficult-to-detect and those that were often inaccurately identified by the software required more validation effort than more easily detected and/or identified species.</li><li>Our results suggest that, when possible, acoustic surveys should rely on coupled validated detection information to account for false-positive detections, rather than uncoupled calibration datasets. However, if the assemblage of interest contains a large number of rarely detected or less prevalent species, an intractable amount of effort may be required, suggesting there are benefits to curating a calibration dataset that is representative of the observation process. Our findings provide insights into the practical challenges associated with statistical analyses of ARU data and possible analytical solutions to support reliable and cost-effective decision-making for wildlife conservation/management in the face of known sources of observation errors.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.13831","usgsCitation":"Stratton, C., Irvine, K., Banner, K., Wright, W.J., Lausen, C., and Rae, J., 2022, Coupling validation effort with in situ bioacoustic data improves estimating relative activity and occupancy for multiple species with cross-species misclassifications: Methods in Ecology and Evolution, v. 13, no. 6, p. 1288-1303, https://doi.org/10.1111/2041-210X.13831.","productDescription":"16 p.","startPage":"1288","endPage":"1303","ipdsId":"IP-135078","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science 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M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":846464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Banner, Katharine M.","contributorId":244876,"corporation":false,"usgs":false,"family":"Banner","given":"Katharine M.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":846465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, Wilson J.","contributorId":192867,"corporation":false,"usgs":false,"family":"Wright","given":"Wilson","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":846466,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lausen, Cori","contributorId":204261,"corporation":false,"usgs":false,"family":"Lausen","given":"Cori","affiliations":[{"id":36893,"text":"Wildlife Conservation Society Canada","active":true,"usgs":false}],"preferred":false,"id":846467,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rae, Jason","contributorId":241643,"corporation":false,"usgs":false,"family":"Rae","given":"Jason","email":"","affiliations":[{"id":36893,"text":"Wildlife Conservation Society Canada","active":true,"usgs":false}],"preferred":false,"id":846468,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70229663,"text":"70229663 - 2022 - Quantifying large-scale continental shelf margin growth and dynamics across mid-Cretaceous Arctic Alaska with detrital zircon U-Pb dating","interactions":[],"lastModifiedDate":"2022-04-26T12:10:04.272603","indexId":"70229663","displayToPublicDate":"2022-03-14T08:12:02","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying large-scale continental shelf margin growth and dynamics across mid-Cretaceous Arctic Alaska with detrital zircon U-Pb dating","docAbstract":"<p>Sequence stratigraphy provides a unifying framework for integrating diverse observations to interpret sedimentary basin evolution; however, key time assumptions about stratigraphic elements spanning hundreds of kilometers are rarely quantified. We integrate new detrital zircon U-Pb (DZ) dates from 28 samples with seismic mapping to establish a chronostratigraphic framework across 800 km and ~20 m.y. for the middle-Cretaceous Torok-Nanushuk clinothem of Arctic Alaska (USA). Shelf-margin DZ dates indicate continent-scale sediment routing with Russian Chukotka provenance and provide reliable maximum depositional ages derived from arc volcanism. Shelf-margin advance rates display a clear relationship to toplap trajectories and provide empirical support for long-held inferences linking sediment supply to margin architecture. Two distinct shelf-margin growth regimes are evident: (1) a ca. 115–107 Ma phase of rapid ~50 km/m.y. shelf advance rates with mainly progradational trajectories; and (2) a ca. 107–98 Ma phase of moderate ~13 km/m.y. shelf advance rates with progradational-retrogradational-aggradational trajectories. We established a subsequent shelf–to–deep water correlation by independently dating ca. 98–95 Ma low shelf accommodation and basin-floor deposition as far as 240 km east that indicate lowstand shedding and a change to localized routing with Brooks Range provenance. Finally, we dated a ca. 95 Ma basin-wide transgression at deep-water to shelfal settings across 350 km that exhibits apparent synchroneity consistent with an event-significant surface. In one of the world’s largest foreland-basin clinothems, our work constrains the timing and duration of key depositional elements to test large-scale sequence stratigraphic assumptions, enables reliable correlation and quantification of sediment dynamics across 800 km, and captures the chronology of a giant regressive-transgressive cycle.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G49118.1","usgsCitation":"Lease, R.O., Houseknecht, D.W., and Kylander-Clark, A.R., 2022, Quantifying large-scale continental shelf margin growth and dynamics across mid-Cretaceous Arctic Alaska with detrital zircon U-Pb dating: Geology, v. 50, no. 5, p. 620-625, https://doi.org/10.1130/G49118.1.","productDescription":"6 p.","startPage":"620","endPage":"625","ipdsId":"IP-135413","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":448513,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g49118.1","text":"Publisher Index Page"},{"id":435927,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F8BHTN","text":"USGS data release","linkHelpText":"U-Pb Isotopic Data and Ages of Detrital Zircon and Volcanic Zircon Grains from the Torok and Nanushuk Formations, Arctic Alaska, 2021"},{"id":397055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -140.99853515625,\n              69.65708627301174\n            ],\n            [\n              -139.81201171874997,\n              73.23937702441908\n            ],\n            [\n              -162.59765625,\n              73.02900629225599\n            ],\n            [\n              -169.8046875,\n              69.17037257214531\n            ],\n            [\n              -163.828125,\n              67.05887024878373\n            ],\n            [\n              -160.6640625,\n              67.30597574414466\n            ],\n            [\n              -157.58789062499997,\n              67.04173496919447\n            ],\n            [\n              -154.95117187499997,\n              66.93866882358137\n            ],\n            [\n              -151.7431640625,\n              67.12729044909526\n            ],\n            [\n              -147.3046875,\n              67.53377157140451\n            ],\n            [\n              -145.1513671875,\n              68.46379955520322\n            ],\n            [\n              -141.0205078125,\n              68.86351700272681\n            ],\n            [\n              -140.99853515625,\n              69.65708627301174\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"50","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-03-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Lease, Richard O. 0000-0003-2582-8966 rlease@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-8966","contributorId":5098,"corporation":false,"usgs":true,"family":"Lease","given":"Richard","email":"rlease@usgs.gov","middleInitial":"O.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":837863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":837864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kylander-Clark, Andrew R. C.","contributorId":212897,"corporation":false,"usgs":false,"family":"Kylander-Clark","given":"Andrew","email":"","middleInitial":"R. C.","affiliations":[],"preferred":false,"id":837865,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70248231,"text":"70248231 - 2022 - Effect of adult male sterilization on the behavior and social associations of a feral polygynous ungulate: The horse","interactions":[],"lastModifiedDate":"2023-09-05T12:04:05.100524","indexId":"70248231","displayToPublicDate":"2022-03-14T07:01:48","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16696,"text":"Appled Animal Behaviour Science","active":true,"publicationSubtype":{"id":10}},"title":"Effect of adult male sterilization on the behavior and social associations of a feral polygynous ungulate: The horse","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"ab0010\" class=\"abstract author\"><div id=\"abs0010\"><p id=\"sp0055\"><span>Castration is commonly used to control the behavior of&nbsp;companion animals&nbsp;and&nbsp;livestock, yet there have been few&nbsp;longitudinal studies&nbsp;of its effects. Despite the ubiquity of this surgery in ridden horses, the effects of castration (termed gelding in horses) have rarely been examined in a reproductive population. We tested effects of gelding on maintenance and social behaviors of individuals pre- and post-gelding, and in comparison to intact control adult males (2 to &gt;16 years old) in both harem and bachelor status, we then tested how gelding affected association with mares (i.e., maintenance of a harem group) compared to intact controls, and any effects on bachelor social associations. We further explored any effects on foaling rate to assess potential impacts on population growth rate. We conducted this study over four years (2017–2020) at two Herd Management Areas (HMAs) in western Utah, USA:&nbsp;</span>Conger<span>&nbsp;and Frisco. We conducted demographic observations year round at both HMAs to record survival and foaling rate. We additionally recorded behavioral observations at Conger HMA. In December 2017, 27 adult males from Conger (42% of adult males in the population) were gelded and returned to the range with their social groups. Due to pre-treatment observations we were able to compare&nbsp;stallions&nbsp;of known status pre- and post-treatment (harem or bachelor), as well as gelded and intact males. We had no morbidity or mortality related to the gelding surgery and all males maintained good body condition throughout the study. There was no effect of gelding on maintenance behaviors (feeding, moving, and standing). There was no effect of gelding on frequency of&nbsp;agonistic behavior, and a non-significant tendency for less reproductive behavior in geldings; geldings showed more affiliative and less marking behavior. Age class and/or social status were better predictors of behavior than gelding. Over time fewer geldings maintained a harem, and their harem size declined during the study. Horses that were bachelors when gelded tended to remain as bachelors, whereas intact bachelors of the same cohort mostly attained a harem. Foaling rate at Conger was reduced in the year following treatment, but then returned to pre-treatment levels. From a welfare perspective gelding is safe to use in feral horses and has minimal effects on horse behavior and social interactions in a reproductive herd. Effectiveness for population growth control would likely require a larger proportion of males in the population to be castrated for longer-term effects on foaling rate.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.applanim.2022.105598","usgsCitation":"King, S.R., Schoenecker, K., and Cole, M.J., 2022, Effect of adult male sterilization on the behavior and social associations of a feral polygynous ungulate: The horse: Appled Animal Behaviour Science, v. 249, 105598, 12 p., https://doi.org/10.1016/j.applanim.2022.105598.","productDescription":"105598, 12 p.","ipdsId":"IP-131624","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":448519,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.applanim.2022.105598","text":"Publisher Index Page"},{"id":435928,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99LBGCP","text":"USGS data release","linkHelpText":"Adult male horse data from Conger and Frisco Herd Management Areas, Utah, USA, between 2017 and 2020"},{"id":420465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"249","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"King, Sarah R. B. 0000-0002-9316-7488","orcid":"https://orcid.org/0000-0002-9316-7488","contributorId":280063,"corporation":false,"usgs":false,"family":"King","given":"Sarah","email":"","middleInitial":"R. B.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":882046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":882047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cole, Mary J.","contributorId":328935,"corporation":false,"usgs":false,"family":"Cole","given":"Mary","email":"","middleInitial":"J.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":882048,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70229686,"text":"70229686 - 2022 - Volatile organic compounds in groundwater used for public supply across the United States: Occurrence, explanatory factors, and human-health context","interactions":[],"lastModifiedDate":"2022-03-15T14:43:15.787447","indexId":"70229686","displayToPublicDate":"2022-03-11T09:39:20","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":"Volatile organic compounds in groundwater used for public supply across the United States: Occurrence, explanatory factors, and human-health context","docAbstract":"<p><span>This systematic assessment of occurrence for 85 volatile organic compounds (VOCs) in raw (untreated) groundwater used for public supply across the United States (U.S.), which includes 43 compounds not previously monitored by national studies, relates VOC occurrence to explanatory factors and assesses VOC detections in a human-health context. Samples were collected in 2013 through 2019 from 1537 public-supply wells in aquifers representing 78% of the volume pumped for public drinking-water supply. Laboratory detection limits for VOCs generally were less than 0.1 μg/L. Detections were reported for 36% of the sampled principal-aquifer area (38% of sampled wells) and were most common in wells in shallow,&nbsp;unconfined aquifers&nbsp;in urban areas that produce high proportions of modern-age and oxic groundwater. The disinfection by-product trichloromethane (chloroform) was the most commonly detected VOC associated primarily with&nbsp;anthropogenic sources&nbsp;(24% of the sampled area, 25% of sampled wells), followed by the gasoline oxygenate methyl tert-butyl ether (8.4% of area, 11% of wells).&nbsp;Carbon disulfide&nbsp;(12% of area, 14% of wells) was examined separately because of likely substantial contributions from natural sources. Newly monitored VOCs were each detected in &lt;1% of the sampled area. Although detections of 1,4-dioxane in this first national study of its occurrence in raw groundwater were rare, measured concentrations exceeded the most stringent (non-enforceable) human-health benchmark in 0.5% of the sampled area (9 wells). Two wells had exceedances of enforceable benchmarks for&nbsp;</span>tetrachloroethylene<span>&nbsp;and trichloroethylene, and 50 wells total (representing 2.0% of the sampled area, 3.3% of sampled wells) had combined VOC concentrations exceeding 10% of benchmarks of any type. Compared with previous national findings, this study reports lower rates of VOC detection, but confirms widespread anthropogenic influence on groundwater used for public supply, with relatively few concentrations of individual VOCs or mixtures that approach or exceed human-health benchmarks.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2022.154313","usgsCitation":"Bexfield, L.M., Belitz, K., Fram, M.S., and Lindsey, B.D., 2022, Volatile organic compounds in groundwater used for public supply across the United States: Occurrence, explanatory factors, and human-health context: Science of the Total Environment, v. 827, 154313, 12 p., https://doi.org/10.1016/j.scitotenv.2022.154313.","productDescription":"154313, 12 p.","ipdsId":"IP-132315","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467192,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2022.154313","text":"Publisher Index Page"},{"id":435930,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MXBT5Z","text":"USGS data release","linkHelpText":"Data for volatile organic compounds in groundwater used for public supply across the United States, 2013-19, and data for associated quality-control samples"},{"id":397111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              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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":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":837959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":837960,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindsey, Bruce D. 0000-0002-7180-4319 blindsey@usgs.gov","orcid":"https://orcid.org/0000-0002-7180-4319","contributorId":175346,"corporation":false,"usgs":true,"family":"Lindsey","given":"Bruce","email":"blindsey@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":837961,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70230166,"text":"70230166 - 2022 - Maximizing species distribution model performance when using historical occurrences and variables of varying persistency","interactions":[],"lastModifiedDate":"2022-04-01T22:02:19.08828","indexId":"70230166","displayToPublicDate":"2022-03-09T08:07:23","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Maximizing species distribution model performance when using historical occurrences and variables of varying persistency","docAbstract":"<p><span>Occurrence data used to build species distribution models often include historical records from locations in which the species no longer exists. When these records are paired with contemporary environmental values that no longer represent the conditions the species experienced, the model creates false associations that hurt predictive performance. The extent of mismatching increases with the number of historical occurrences and with inclusion of environmental variables that are prone to change over time. Indeed, the mismatch between occurrence data and contemporaneous environmental variables is a common dilemma when modeling rare or cryptic species, especially those of conservation concern that were once more abundant. Herein, we assess (1) the impact of historical occurrences on model performance across three sets of environmental variables of increasing persistency and (2) the performance of models built using selected-historical occurrences from locations that showed evidence of limited environmental change over time. Concepts are tested on federally listed flatwoods salamanders, reflecting real-world conservation management efforts. We predicted that, compared to other occurrence sets, (1) historical occurrences would perform best with environmental variables that were more persistent, (2) recent occurrences would perform best when the environmental variables were more impersistent, and that (3) our selected-historical occurrences would perform best with a combination of persistent and impersistent variables. Our results showed the expected inversion of model performance of recent and historical occurrences across environmental variables of increasing persistency when evaluated by correct predictions. However, the inversion was not seen in area under the curve performance, in which historical occurrences outperformed recent occurrence models across all variable sets. Selected-historical occurrences did not notably improve performance over all-historical occurrences in any metric or variable set. To maximize utility and performance, modelers could acknowledge potential trade-offs from inclusion of historical occurrences and consider number and age of recent and historical occurrences available, the persistency of environmental variables considered, and how their conservation goals are reflected in model design and evaluation, particularly with respect to sensitivity versus specificity. Our study lends support for inclusion of historical occurrences, with the potential exception of mostly impersistent variables when sensitivity is the highest priority.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3951","usgsCitation":"Bracken, J.T., Davis, A., O’Donnell, K., Barichivich, W., Walls, S., and Jezkova, T., 2022, Maximizing species distribution model performance when using historical occurrences and variables of varying persistency: Ecosphere, v. 13, no. 3, e3951, 13 p., https://doi.org/10.1002/ecs2.3951.","productDescription":"e3951, 13 p.","ipdsId":"IP-126905","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":489148,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3951","text":"Publisher Index Page"},{"id":397930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Georgia, South Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.4619140625,\n              30.391830328088137\n            ],\n            [\n              -87.62695312499999,\n              30.107117887092357\n            ],\n            [\n              -86.8359375,\n              30.240086360983426\n            ],\n            [\n              -85.97900390625,\n              30.06909396443887\n            ],\n            [\n              -85.517578125,\n              29.592565403314087\n            ],\n            [\n              -84.9462890625,\n              29.516110386062277\n       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University","active":true,"usgs":false}],"preferred":false,"id":839350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Amelie Y.","contributorId":289572,"corporation":false,"usgs":false,"family":"Davis","given":"Amelie Y.","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":839351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Donnell, Katherine M. 0000-0001-9023-174X kmodonnell@usgs.gov","orcid":"https://orcid.org/0000-0001-9023-174X","contributorId":176897,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Katherine M.","email":"kmodonnell@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":839352,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barichivich, William 0000-0003-1103-6861","orcid":"https://orcid.org/0000-0003-1103-6861","contributorId":215988,"corporation":false,"usgs":true,"family":"Barichivich","given":"William","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":839353,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walls, Susan C. 0000-0001-7391-9155","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":3055,"corporation":false,"usgs":true,"family":"Walls","given":"Susan C.","affiliations":[],"preferred":true,"id":839354,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jezkova, Tereza","contributorId":209721,"corporation":false,"usgs":false,"family":"Jezkova","given":"Tereza","email":"","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":839355,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70263839,"text":"70263839 - 2022 - Significance of U-Pb detrital zircon geochronology for mudstone provenance","interactions":[],"lastModifiedDate":"2025-02-26T21:01:19.40561","indexId":"70263839","displayToPublicDate":"2022-03-08T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Significance of U-Pb detrital zircon geochronology for mudstone provenance","docAbstract":"<p><span>Detrital zircon U-Pb studies of mudstone provenance are rare but may preferentially fingerprint distal zircon sources. To examine this issue, Pierre Shale and Trinidad Sandstone deposited in a Late Cretaceous deltaic environment in the Raton Basin, Colorado (USA), were measured for detrital zircon U-Pb age by laser ablation–inductively coupled plasma–mass spectrometry. Two major detrital zircon age peaks at ca. 70 and 1690 Ma are found in both Pierre Shale and Trinidad Sandstone but in inversely varying proportions: 68% and 16%, respectively, for the finest zircon fraction (~15–35 μm) in the shale, and 25% and 32%, respectively, for the coarsest zircon fraction (~60–80 μm) in the sandstone. Proximal sources in the Sangre de Cristo Mountains, directly west of the Raton Basin, contain coarse-grained, ca. 1690 Ma zircon, whereas distal sources in Laramide uplifts and basins in Colorado, New Mexico, and Arizona contain fine-grained, ca. 70 Ma zircon. The results indicate that U-Pb zircon provenance of mudstone reflects availability of volcanic and other fine-grained source rocks rather than simply distal sources. U-Pb zircon provenance studies should routinely include mudstone units because these units may identify fine-grained zircon sources more reliably than sandstones alone.</span></p>","language":"English","publisher":"GeoScienceWorld","doi":"10.1130/G49684.1","usgsCitation":"Sylvester, P., Souders, A., and Liu, R., 2022, Significance of U-Pb detrital zircon geochronology for mudstone provenance: Geology, v. 50, no. 6, p. 670-675, https://doi.org/10.1130/G49684.1.","productDescription":"6 p.","startPage":"670","endPage":"675","ipdsId":"IP-133330","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":487687,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g49684.1","text":"Publisher Index Page"},{"id":482506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New 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,{"id":70229415,"text":"70229415 - 2022 - Comparison of electrofishing and PIT antennas for detection of hatchery-reared Roundtail Chub (Gila robusta) stocked into a desert stream","interactions":[],"lastModifiedDate":"2022-03-07T14:53:31.825137","indexId":"70229415","displayToPublicDate":"2022-03-07T08:39:50","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2530,"text":"Journal of the Arizona-Nevada Academy of Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comparison of electrofishing and PIT antennas for detection of hatchery-reared Roundtail Chub (<i>Gila robusta</i>) stocked into a desert stream","title":"Comparison of electrofishing and PIT antennas for detection of hatchery-reared Roundtail Chub (Gila robusta) stocked into a desert stream","docAbstract":"<p id=\"ID0EF\" class=\"first\">Stocking of rare native fishes for conservation purposes is a common practice in the southwestern United States. Monitoring typically occurs after hatchery-reared fish are released to assess post-stocking movement and survival. We conducted a two-year study, in which tow-barge electrofishing and portable, flat-bed passive integrated transponder (PIT) antennas were used to monitor PIT-tagged, hatchery-reared roundtail chub (<i>Gila robusta</i>) following release into the upper Verde River in Arizona. Specifically, our study aimed to compare the performance of PIT antennas and electrofishing in detecting PIT tagged fish released in a small desert river and to examine the behavioral response of hatchery-reared roundtail chub after stocking. In both years, more fish were detected by antenna arrays (84%) than by electrofishing (30%). roundtail chub were significantly more likely to be detected by antennas than electrofishing each year; however, when antenna data were evaluated only during the few days in which electrofishing took place, there was no significant difference (Year 1, p=0.1784; Year 2, p=0.6295) in detection between gear types for the same time interval, suggesting that electrofishing and antennas are equally likely to detect fish during 48-72 hour time frames. Within 72 hours of release, antennas detected 100% of fish that moved upstream and 93.8% of fish that moved downstream from the stocking location. Overall, less than half (45.6% in Year 1; 41.1% in Year 2) of the stocked roundtail chub were detected using both methods in both years. Utilization of both active capture gear (electrofishing) and passive gear (antennae) had advantages over monitoring with a single method. PIT antennae can be especially useful for managers who lack the personnel or time to implement more intensive methods of capture but want to monitor post-stocking movement and survival of stocked fish.</p>","language":"English","publisher":"Arizona-Nevada Academy of Sciences","doi":"10.2181/036.049.0209","usgsCitation":"Tennant, L.A., Ward, D., and Gibb, A.C., 2022, Comparison of electrofishing and PIT antennas for detection of hatchery-reared Roundtail Chub (Gila robusta) stocked into a desert stream: Journal of the Arizona-Nevada Academy of Science, v. 49, no. 2, p. 116-126, https://doi.org/10.2181/036.049.0209.","productDescription":"11 p.","startPage":"116","endPage":"126","ipdsId":"IP-099559","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":448570,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2181/036.049.0209","text":"Publisher Index Page"},{"id":435935,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99PGQGL","text":"USGS data release","linkHelpText":"Hatchery-reared Roundtail Chub Data, Arizona USA"},{"id":396785,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Verde River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.47227668762206,\n              34.85346724741666\n            ],\n            [\n              -112.39751815795898,\n              34.85346724741666\n            ],\n            [\n              -112.39751815795898,\n              34.87565098440711\n            ],\n            [\n              -112.47227668762206,\n              34.87565098440711\n            ],\n            [\n              -112.47227668762206,\n              34.85346724741666\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"49","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tennant, Laura A. 0000-0003-0062-7287 ltennant@usgs.gov","orcid":"https://orcid.org/0000-0003-0062-7287","contributorId":5984,"corporation":false,"usgs":true,"family":"Tennant","given":"Laura","email":"ltennant@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":837338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ward, David 0000-0002-3355-0637","orcid":"https://orcid.org/0000-0002-3355-0637","contributorId":216231,"corporation":false,"usgs":true,"family":"Ward","given":"David","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":837339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gibb, Alice C.","contributorId":207521,"corporation":false,"usgs":false,"family":"Gibb","given":"Alice","email":"","middleInitial":"C.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":837340,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262183,"text":"70262183 - 2022 - Comparison of methods for estimating density and population trends for low-density Asian bears","interactions":[],"lastModifiedDate":"2025-01-15T17:38:27.828111","indexId":"70262183","displayToPublicDate":"2022-02-28T11:28:42","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of methods for estimating density and population trends for low-density Asian bears","docAbstract":"<p><span>Populations of bears in Asia are vulnerable to extinction and effective monitoring is critical to measure and direct conservation efforts. Population abundance (local density) or growth&nbsp;</span><i>(λ</i><span>) are the most sensitive metrics to change. We discuss the value in implementing spatially explicit capture-recapture (SCR), the current gold standard for density estimation, and open population SCR (OPSCR) to monitor changes in density over time. We provide guidance for designing studies to provide estimates with sufficient power to detect changes. Because of the wide availability of&nbsp;camera traps&nbsp;and interest in their use, we consider six density estimation methods and their extensions developed for use with camera traps, with specific consideration of assumptions and applications for monitoring Asian bears. We conducted a power analysis to calculate the precision in estimates needed to detect changes in populations with reference to IUCN Red List criteria. We performed a&nbsp;systematic review&nbsp;of empirical studies implementing camera trap abundance estimation methods and considered sample sizes, effort, and model assumptions required to achieve adequate precision for population monitoring. We found SCR and OPSCR, reliant on “marked” individuals, are currently the only methods with enough power to reliably detect even moderate to major (20–80%) declines. Camera trap methods with unmarked individuals rarely achieved precision sufficient to detect even large declines (80–90%), although with some exceptions (e.g., situations with moderate population densities, large number of sampling sites, or inclusion of ancillary local&nbsp;telemetry&nbsp;data. We describe additional estimation options including line transects, direct observations, monitoring age-specific survival and reproductive rates, and hybrid/integrated methodologies that may have potential to work for some Asian bear populations. We conclude monitoring changes in abundance or density is possible for most Asian bear populations but will require collaboration among researchers over broad spatial extents and extensive financial investment to overcome biological and logistical constraints. We strongly encourage practitioners to consider study design and sampling effort required to meet objectives by conducting simulations, power analyses, and assumption checks prior to implementing monitoring efforts, and reporting standardized dispersion measures such as coefficients of variation to allow for assessment of precision. Our guidance is relevant to other low-density and wide-ranging species.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2022.e02058","usgsCitation":"Morin, D., Boulanger, J., Bischof, R., Lee, D., Ngoprasert, D., Fuller, A.K., McLellan, B., Steinmetz, R., Sharma, S., Garshelis, D., Gopalaswamy, A.M., Nawaz, M.A., and Karanth, U., 2022, Comparison of methods for estimating density and population trends for low-density Asian bears: Global Ecology and Conservation, e02058, 21 p., https://doi.org/10.1016/j.gecco.2022.e02058.","productDescription":"e02058, 21 p.","ipdsId":"IP-135458","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467198,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2022.e02058","text":"Publisher Index Page"},{"id":466442,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Morin, Dana J.","contributorId":348354,"corporation":false,"usgs":false,"family":"Morin","given":"Dana J.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":923389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boulanger, John","contributorId":348355,"corporation":false,"usgs":false,"family":"Boulanger","given":"John","affiliations":[{"id":83347,"text":"Integrated Ecological Research","active":true,"usgs":false}],"preferred":false,"id":923390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bischof, Richard","contributorId":348356,"corporation":false,"usgs":false,"family":"Bischof","given":"Richard","affiliations":[{"id":40295,"text":"Norwegian University of Life Sciences","active":true,"usgs":false}],"preferred":false,"id":923391,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, David C.","contributorId":348357,"corporation":false,"usgs":false,"family":"Lee","given":"David C.","affiliations":[{"id":83348,"text":"University of South Wales","active":true,"usgs":false}],"preferred":false,"id":923392,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ngoprasert, Dusit","contributorId":348358,"corporation":false,"usgs":false,"family":"Ngoprasert","given":"Dusit","affiliations":[{"id":83349,"text":"Program, King Mongkut’s University of Technology Thonburi","active":true,"usgs":false}],"preferred":false,"id":923393,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fuller, Angela K. 0000-0002-9247-7468 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,{"id":70229980,"text":"70229980 - 2022 - Three decades of stranding data reveal insights into endangered hawksbill sea turtles in Hawai‘i","interactions":[],"lastModifiedDate":"2022-03-22T14:10:20.799855","indexId":"70229980","displayToPublicDate":"2022-02-24T09:03:30","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Three decades of stranding data reveal insights into endangered hawksbill sea turtles in Hawai‘i","docAbstract":"<p class=\"abstract_block\">Hawksbill sea turtles<span>&nbsp;</span><i>Eretmochelys imbricata</i><span>&nbsp;</span>inhabiting the Hawaiian Islands are extremely rare and listed as endangered under the US Endangered Species Act. The paucity of data on basic hawksbill ecology continues to hinder effective management of the species. We analyzed stranding data collected between 1984 and 2018 to gain insights into the distribution, demography, and conservation challenges facing hawksbills in Hawai‘i. In doing so, we present a comprehensive description of the population across developmental stages and rank threats that may be impeding their successful recovery. Over the &gt;30 yr data set, we recorded a total of only 111 juvenile and adult hawksbill stranding events. Interactions with nearshore recreational fishing gear were documented for a large proportion (48.6%) of stranding events in the Hawaiian Islands, identifying this as the primary management challenge for the species. Stranding events were biased towards females (female to male sex ratio of 4.8:1.0), which may be indicative of the population as a whole. Even though the majority of hawksbills nest on the islands of Hawai‘i Moloka‘i, and Maui, the greatest number of juvenile to adult strandings was found to be on the island of Oahu (n = 47). Temporal distribution of the majority of adult hawksbill strandings (72.2%) occurred during a 4 mo period between June and September. We discuss these and other findings that help identify future research and conservation efforts to mitigate anthropogenic threats in Hawai‘i for this enigmatic population.</p>","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/esr01167","usgsCitation":"Brunson, S., Gaos, A., Kelly, I., van Houtan, K., Swimmer, Y., Hargrove, S., Balazs, G., Work, T.M., and Jones, T., 2022, Three decades of stranding data reveal insights into endangered hawksbill sea turtles in Hawai‘i: Endangered Species Research, v. 47, p. 109-118, https://doi.org/10.3354/esr01167.","productDescription":"10 p.","startPage":"109","endPage":"118","ipdsId":"IP-134533","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":448691,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01167","text":"Publisher Index Page"},{"id":397393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70230435,"text":"70230435 - 2022 - Exploring genetic variation and population structure in a threatened species, Noturus placidus, with whole-genome sequence data","interactions":[],"lastModifiedDate":"2022-04-13T12:07:01.070311","indexId":"70230435","displayToPublicDate":"2022-02-22T07:00:48","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10550,"text":"G3: Genes, Genomes, Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Exploring genetic variation and population structure in a threatened species, Noturus placidus, with whole-genome sequence data","docAbstract":"<p class=\"chapter-para\">The Neosho madtom (<i>Noturus placidus</i>) is a small catfish, generally less than 3 inches in length, unique to the Neosho-Spring River system within the Arkansas River Basin. It was federally listed as threatened in 1990, largely due to habitat loss. For conservation efforts, we generated whole-genome sequence data from 10 Neosho madtom individuals originating from 3 geographically separated populations to evaluate genetic diversity and population structure. A Neosho madtom genome was de novo assembled, and genome size and content were assessed. Single nucleotide polymorphisms were assessed from de Bruijn graphs, and via reference alignment with both the channel catfish (<i>Ictalurus punctatus)</i><span>&nbsp;</span>reference genome and Neosho madtom reference genome. Principal component analysis and structure analysis indicated weak population structure, suggesting fish from the 3 locations represent a single population. Using a novel method, genome-wide conservation and divergence between the Neosho madtom, channel catfish, and zebrafish (<i>Danio rerio</i>) was assessed by pairwise contig alignment, which demonstrated that genes important to embryonic development frequently had conserved sequences. This research in a threatened species with no previously published genomic resources provides novel genetic information to guide current and future conservation efforts and demonstrates that using whole-genome sequencing provides detailed information of population structure and demography using only a limited number of rare and valuable samples.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/g3journal/jkac046","usgsCitation":"Whitacre, L.K., Wildhaber, M.L., Johnson, G., Durbin, H.J., Rowan, T.N., Peoria Tribe, Schnabel, R.D., Mhlanga-Mutangadura, T., Tabor, V.M., Fenner, D., and Decker, J.E., 2022, Exploring genetic variation and population structure in a threatened species, Noturus placidus, with whole-genome sequence data: G3: Genes, Genomes, Genetics, v. 12, no. 4, jkac046, 9 p., https://doi.org/10.1093/g3journal/jkac046.","productDescription":"jkac046, 9 p.","ipdsId":"IP-088642","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":448714,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/g3journal/jkac046","text":"Publisher Index Page"},{"id":435950,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MAPT9T","text":"USGS data release","linkHelpText":"Neosho Madtom (Noturus placidus) short read archive and whole genome sequence data"},{"id":398631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Kansas, Missouri, Oklahoma","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.50390624999999,\n              36.35052700542763\n            ],\n            [\n              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mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":840418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Gary S.","contributorId":290183,"corporation":false,"usgs":false,"family":"Johnson","given":"Gary S.","affiliations":[{"id":62375,"text":"Department of Veterinary Pathobiology, College of Veterinary Medicine, University of Missouri, Columbia, Missouri","active":true,"usgs":false}],"preferred":false,"id":840419,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Durbin, Harly J.","contributorId":290215,"corporation":false,"usgs":false,"family":"Durbin","given":"Harly","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":840470,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rowan, Troy N.","contributorId":290216,"corporation":false,"usgs":false,"family":"Rowan","given":"Troy","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":840471,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peoria Tribe","contributorId":290217,"corporation":true,"usgs":false,"organization":"Peoria Tribe","id":840477,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schnabel, Robert D.","contributorId":290184,"corporation":false,"usgs":false,"family":"Schnabel","given":"Robert","email":"","middleInitial":"D.","affiliations":[{"id":62373,"text":"Informatics Institute, University of Missouri, Columbia, Missouri","active":true,"usgs":false}],"preferred":false,"id":840472,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mhlanga-Mutangadura, Tendai","contributorId":290186,"corporation":false,"usgs":false,"family":"Mhlanga-Mutangadura","given":"Tendai","email":"","affiliations":[{"id":62375,"text":"Department of Veterinary Pathobiology, College of Veterinary Medicine, University of Missouri, Columbia, Missouri","active":true,"usgs":false}],"preferred":false,"id":840473,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tabor, Vernon M.","contributorId":290187,"corporation":false,"usgs":false,"family":"Tabor","given":"Vernon","email":"","middleInitial":"M.","affiliations":[{"id":62378,"text":"U.S. Fish and Wildlife Service, Kansas Ecological Services Field Office, Manhattan, Kansas","active":true,"usgs":false}],"preferred":false,"id":840474,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fenner, Daniel","contributorId":290188,"corporation":false,"usgs":false,"family":"Fenner","given":"Daniel","email":"","affiliations":[{"id":62379,"text":"U.S. Fish and Wildlife Service, Oklahoma Ecological Services Field Office, Tulsa, Oklahoma","active":true,"usgs":false}],"preferred":false,"id":840475,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Decker, Jared E.","contributorId":290189,"corporation":false,"usgs":false,"family":"Decker","given":"Jared","email":"","middleInitial":"E.","affiliations":[{"id":62373,"text":"Informatics Institute, University of Missouri, Columbia, Missouri","active":true,"usgs":false}],"preferred":false,"id":840476,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70254711,"text":"70254711 - 2022 - Increased juvenile native fish abundance following a major flood in an Arizona river","interactions":[],"lastModifiedDate":"2024-06-07T14:37:08.906735","indexId":"70254711","displayToPublicDate":"2022-02-20T09:29:20","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Increased juvenile native fish abundance following a major flood in an Arizona river","docAbstract":"<p><span>Spring floods trigger spawning in many native fishes of the desert Southwest (USA), but less is known about fish community response when native fishes are rare. Here, we document change to native and nonnative fish captures and instream habitat features following a decade-high flooding event (2019) in the Verde River (AZ) where native fish captures were rare in the years pre-flood. Using prepositioned areal electrofishing devices (PAEDs), we sampled the fish community at 90 sampling units pre-flood (2017) and resampled those same units post-flood (2019) to compare and identify changes to catch and habitat features. Relative abundance of native fishes increased from 0.6% pre-flood (0.01 fish/PAED) to 53.0% post-flood (1.66 fish/PAED) and was largely attributable to the presence of juvenile Roundtail Chub&nbsp;</span><i>Gila robusta</i><span>&nbsp;(≤ 70 mm total length (TL)) and juvenile Sonora Sucker&nbsp;</span><i>Catostomus insignis</i><span>&nbsp;(≤ 100 mm TL). Juvenile Desert Sucker&nbsp;</span><i>Catostomus clarkii</i><span>&nbsp;experienced a lesser increase. One adult native fish was captured in 2017 and adult native fishes were absent from 2019 sampling. The catch of adult/subadult Common Carp&nbsp;</span><i>Cyprinus carpio</i><span>&nbsp;(&gt; 100 mm TL) declined; however, this could be related to reservoir management and not the flood. The abundance of all size-classes of Black Bass&nbsp;</span><i>Micropterus</i><span>&nbsp;spp., Red Shiner&nbsp;</span><i>Cyprinella lutrensis</i><span>&nbsp;and other nonnative fishes did not change. The majority (97%) of juvenile native fishes were captured at the uppermost sampling reach. A 54% reduction to canopy cover across all sampling reaches and an increase of fine sediments at the most downstream reach demonstrates how floods can restructure the river environment. This case-study adds evidence that protection of spring floods is vital to the persistence and recolonization of fishes native to the desert Southwest, especially where they are rare. The continued presence of nonnative species may preclude juvenile native fishes from recruiting to adults.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2021.2002734","usgsCitation":"Jenney, C.J., Nemec, Z.C., Lee, L.N., and Bonar, S.A., 2022, Increased juvenile native fish abundance following a major flood in an Arizona river: Journal of Freshwater Ecology, v. 37, no. 1, p. 1-14, https://doi.org/10.1080/02705060.2021.2002734.","productDescription":"14 p.","startPage":"1","endPage":"14","ipdsId":"IP-135120","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":448726,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2021.2002734","text":"Publisher Index Page"},{"id":429646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Verde River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.47741088388918,\n              33.945270025606774\n            ],\n            [\n              -111.47741088388918,\n              34.92271952728409\n            ],\n            [\n              -112.26906155680956,\n              34.92271952728409\n            ],\n            [\n              -112.26906155680956,\n              33.945270025606774\n            ],\n            [\n              -111.47741088388918,\n              33.945270025606774\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"37","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-02-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Jenney, Christopher J.","contributorId":288206,"corporation":false,"usgs":false,"family":"Jenney","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":902326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nemec, Zach C.","contributorId":288222,"corporation":false,"usgs":false,"family":"Nemec","given":"Zach","email":"","middleInitial":"C.","affiliations":[{"id":56363,"text":"uaz","active":true,"usgs":false}],"preferred":false,"id":902327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Larissa N.","contributorId":288223,"corporation":false,"usgs":false,"family":"Lee","given":"Larissa","email":"","middleInitial":"N.","affiliations":[{"id":56363,"text":"uaz","active":true,"usgs":false}],"preferred":false,"id":902328,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902325,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70228755,"text":"70228755 - 2022 - The global environmental agenda urgently needs a semantic web of knowledge","interactions":[],"lastModifiedDate":"2022-02-18T15:10:45.197958","indexId":"70228755","displayToPublicDate":"2022-02-17T09:08:08","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5897,"text":"Environmental Evidence","active":true,"publicationSubtype":{"id":10}},"title":"The global environmental agenda urgently needs a semantic web of knowledge","docAbstract":"<p><span>Progress in key social-ecological challenges of the global environmental agenda (e.g., climate change, biodiversity conservation, Sustainable Development Goals) is hampered by a lack of integration and synthesis of existing scientific evidence. Facing a fast-increasing volume of data, information remains compartmentalized to pre-defined scales and fields, rarely building its way up to collective knowledge. Today's distributed&nbsp;</span><i>corpus</i><span>&nbsp;of human intelligence, including the scientific publication system, cannot be exploited with the efficiency needed to meet current evidence synthesis challenges; computer-based intelligence could assist this task. Artificial Intelligence (AI)-based approaches underlain by semantics and machine reasoning offer a constructive way forward, but depend on greater understanding of these technologies by the science and policy communities and coordination of their use. By labelling web-based scientific information to become readable by both humans and computers, machines can search, organize, reuse, combine and synthesize information quickly and in novel ways. Modern open science infrastructure—i.e., public data and model repositories—is a useful starting point, but without shared semantics and common standards for machine actionable data and models, our collective ability to build, grow, and share a collective knowledge base will remain limited. The application of semantic and machine reasoning technologies by a broad community of scientists and decision makers will favour open synthesis to contribute and reuse knowledge and apply it toward decision making.</span></p>","language":"English","publisher":"BMC","doi":"10.1186/s13750-022-00258-y","usgsCitation":"Balbi, S., Bagstad, K.J., Magrach, A., Sanz, M.J., Aguilar-Amuchastegui, N., Guipponi, C., and Villa, F., 2022, The global environmental agenda urgently needs a semantic web of knowledge: Environmental Evidence, v. 11, 5, 6 p., https://doi.org/10.1186/s13750-022-00258-y.","productDescription":"5, 6 p.","ipdsId":"IP-126413","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":448740,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13750-022-00258-y","text":"Publisher Index Page"},{"id":396173,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2022-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Balbi, Stefano 0000-0001-8190-5968","orcid":"https://orcid.org/0000-0001-8190-5968","contributorId":208481,"corporation":false,"usgs":false,"family":"Balbi","given":"Stefano","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":835326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":835327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magrach, Ainhoa 0000-0003-2155-7556","orcid":"https://orcid.org/0000-0003-2155-7556","contributorId":208482,"corporation":false,"usgs":false,"family":"Magrach","given":"Ainhoa","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":835328,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanz, Maria Jose 0000-0003-0471-3094","orcid":"https://orcid.org/0000-0003-0471-3094","contributorId":279661,"corporation":false,"usgs":false,"family":"Sanz","given":"Maria","email":"","middleInitial":"Jose","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":835329,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aguilar-Amuchastegui, Naikoa 0000-0002-5072-0079","orcid":"https://orcid.org/0000-0002-5072-0079","contributorId":279662,"corporation":false,"usgs":false,"family":"Aguilar-Amuchastegui","given":"Naikoa","email":"","affiliations":[{"id":37767,"text":"World Wildlife Fund","active":true,"usgs":false}],"preferred":false,"id":835330,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guipponi, Carlo","contributorId":279664,"corporation":false,"usgs":false,"family":"Guipponi","given":"Carlo","email":"","affiliations":[{"id":47673,"text":"Ca’ Foscari University of Venice","active":true,"usgs":false}],"preferred":false,"id":835331,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Villa, Ferdinando 0000-0002-5114-3007","orcid":"https://orcid.org/0000-0002-5114-3007","contributorId":208486,"corporation":false,"usgs":false,"family":"Villa","given":"Ferdinando","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":835332,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70240714,"text":"70240714 - 2022 - MASTREE+: Time-series of plant reproductive effort from six continents","interactions":[],"lastModifiedDate":"2023-02-16T15:49:21.630648","indexId":"70240714","displayToPublicDate":"2022-02-16T08:07:26","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"MASTREE+: Time-series of plant reproductive effort from six continents","docAbstract":"<p><span>Significant gaps remain in understanding the response of plant reproduction to environmental change. This is partly because measuring reproduction in long-lived plants requires direct observation over many years and such datasets have rarely been made publicly available. Here we introduce MASTREE+, a data set that collates reproductive time-series data from across the globe and makes these data freely available to the community. MASTREE+ includes 73,828 georeferenced observations of annual reproduction (e.g. seed and fruit counts) in perennial plant populations worldwide. These observations consist of 5971 population-level time-series from 974 species in 66 countries. The mean and median time-series length is 12.4 and 10&nbsp;years respectively, and the data set includes 1122 series that extend over at least two decades (≥20&nbsp;years of observations). For a subset of well-studied species, MASTREE+ includes extensive replication of time-series across geographical and climatic gradients. Here we describe the open-access data set, available as a.csv file, and we introduce an associated web-based app for data exploration. MASTREE+ will provide the basis for improved understanding of the response of long-lived plant reproduction to environmental change. Additionally, MASTREE+ will enable investigation of the ecology and evolution of reproductive strategies in perennial plants, and the role of plant reproduction as a driver of ecosystem dynamics.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.16130","usgsCitation":"Hacket-Pain, A., Foest, J., Pearse, I.S., LaMontagne, J., Koenig, W.D., Vacchiano, G., Bogdziewicz, M., Caignard, T., Celebias, P., Van Dormolen, J., Fernandez-Martinez, M., Moris, J.V., Palaghianu, C., Pesendorfer, M.B., Satake, A., Schermer, E., Tanentzap, A., Thomas, P., Vecchio, D., Wion, A.P., Wohlgemuth, T., Xue, T., Abernethy, K., Aravena Acuna, M., Barrera, M.D., Barton, J.H., Boutin, S., Bush, E.R., Donoso Calderon, S., Carevic, F., Volkmer de Castilho, C., Cellini, J.M., Chapman, C.A., Chapman, H., Chianucci, F., da Costa, P., Croise, L., Cutini, A., Dantzer, B., DeRose, R., Dikangadissi, J., Dimoto, E., Lopes da Fonseca, F., Gallo, L., Gratzer, G., Greene, D.F., Hadad, M.A., Huertas Herrera, A., Jeffery, K.J., Johnstone, J.F., Kalbitzer, U., Kantorowicz, W., Klimas, C.A., Lageard, J., Lane, J., Lapin, K., Ledwon, M., Leeper, A.C., Lencinas, M.V., Lira-Guedes, A.C., Lordon, M., Marchelli, P., Marino, S., Schmidt Van Marle, H., McAdam, A., Momont, L.R., Nicolas, M., de Oliveira Wadt, L.H., Panahi, P., Martinez Pastur, G., Patterson, T., Peri, P.L., Piechnik, L., Pourhashemi, M., Espinoza Quezada, C., Roig, F.A., Pena Rojas, K., Rosas, Y.M., Schueler, S., Seget, B., Soler, R., Steele, M.A., Toro-Manriquez, M., Tutin, C.E., Ukizintambara, T., White, L., Yadok, B., Willis, J.L., Zolles, A., Zywiec, M., and Ascoli, D., 2022, MASTREE+: Time-series of plant reproductive effort from six continents: Global Change Biology, v. 28, no. 9, p. 3066-3082, https://doi.org/10.1111/gcb.16130.","productDescription":"17 p.","startPage":"3066","endPage":"3082","ipdsId":"IP-133993","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":448773,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/gcb.16130","text":"External Repository"},{"id":413130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"9","noUsgsAuthors":false,"publicationDate":"2022-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Hacket-Pain, Andrew","contributorId":224290,"corporation":false,"usgs":false,"family":"Hacket-Pain","given":"Andrew","affiliations":[{"id":16977,"text":"University of Liverpool","active":true,"usgs":false}],"preferred":false,"id":864404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foest, Jessie","contributorId":302414,"corporation":false,"usgs":false,"family":"Foest","given":"Jessie","email":"","affiliations":[{"id":65475,"text":"U Liverpool","active":true,"usgs":false}],"preferred":false,"id":864405,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":216680,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":864406,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LaMontagne, Jalene M.","contributorId":224291,"corporation":false,"usgs":false,"family":"LaMontagne","given":"Jalene M.","affiliations":[{"id":36623,"text":"DePaul University","active":true,"usgs":false}],"preferred":false,"id":864444,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koenig, Walter 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The expectation, therefore, is that females should visit fewer floral resource species than males, due to females’ focus on host plant species and their tie to the nest location.  We used pollen collected from bees’ bodies and the flowers they were collected on to infer floral resource use in 2010-2012 at Badlands National Park, SD, USA.  We collected bees on 24 1-ha plots centered on particular plant species.  We compared number of floral species and families (1) associated with individual female and male bees (via generalized linear mixed models) and (2) accumulated by each sex (using rarefaction); and (3) effect of variation between sexes in plant-bee interactions via modularity analyses.  Analyses were restricted to bee species with > 5 individuals per sex.  Contrary to expectation, female and male bees differed infrequently in the number of floral resources they had visited, both on single foraging bouts and collectively when accumulated across all males and females of a species.  When males and females did differ, males visited fewer floral species than females.  Generalist and specialist bee species did not differ markedly in floral resource use by females and males.  When separated by sex, seven of eleven species occupied different modules than they did when analyzed as a species; most of the bee species were connectors, thus important for stability of the network during perturbations.","language":"English","publisher":"Springer","doi":"10.1007/s11829-021-09881-x","usgsCitation":"Larson, D.L., Portman, Z.M., Larson, J., and Buhl, D.A., 2022, Variation in foraging patterns as reflected by floral resources used by male vs female bees of selected species at Badlands National Park, SD: Arthropod-Plant Interactions, v. 16, p. 145-157, https://doi.org/10.1007/s11829-021-09881-x.","productDescription":"13 p.","startPage":"145","endPage":"157","ipdsId":"IP-133064","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":448825,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11829-021-09881-x","text":"Publisher Index Page"},{"id":403066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Badlands National Park","volume":"16","noUsgsAuthors":false,"publicationDate":"2022-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Larson, Diane L. 0000-0001-5202-0634 dlarson@usgs.gov","orcid":"https://orcid.org/0000-0001-5202-0634","contributorId":292764,"corporation":false,"usgs":true,"family":"Larson","given":"Diane","email":"dlarson@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":845742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Portman, Zachary M.","contributorId":264397,"corporation":false,"usgs":false,"family":"Portman","given":"Zachary","email":"","middleInitial":"M.","affiliations":[{"id":54455,"text":"Dept. of Entomology, University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":845743,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, Jennifer 0000-0002-6259-0101","orcid":"https://orcid.org/0000-0002-6259-0101","contributorId":216120,"corporation":false,"usgs":true,"family":"Larson","given":"Jennifer","email":"","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":845744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buhl, Deborah A. 0000-0002-8563-5990 dbuhl@usgs.gov","orcid":"https://orcid.org/0000-0002-8563-5990","contributorId":146226,"corporation":false,"usgs":true,"family":"Buhl","given":"Deborah","email":"dbuhl@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":845745,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70229413,"text":"70229413 - 2022 - Diverse native island flora shows rapid initial passive recovery after exotic herbivore removal on Santa Rosa Island, California","interactions":[],"lastModifiedDate":"2023-03-24T16:56:01.075632","indexId":"70229413","displayToPublicDate":"2022-02-11T06:04:10","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Diverse native island flora shows rapid initial passive recovery after exotic herbivore removal on Santa Rosa Island, California","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Removing exotic vertebrates from islands is an increasingly common and potentially effective strategy for protecting biodiversity. Yet, surprisingly few studies evaluate large-scale effects of island removals on native plants. We surveyed 431 hectares of habitat in 7 canyons on Santa Rosa Island just after exotic herbivore control began (1994–1996), and again after two herbivore species had been eradicated and ~ 90% of herbivores removed (2010–2012). We searched for 68 endemic and/or rare native plant taxa, mapping and recording abundances for the 39 found. Initially most of these 39 species were absent from most canyons (79.9% species-canyon combinations). Nearly 35% of absences changed to presences by 2010–2012, while only 5.5% of presences changed to absences. Thirty-six of these 39 species increased in total area, and 38 increased in total abundance. Graminoids increased more and shrubs less than other life histories, for both apparent colonizations and abundances. Beta diversity and species turnover between canyons was high at both surveys. Although a diversity of the 39 located taxa showed substantial gains, nearly half remained uncommon in 2010–2012. These results reinforce the devastating effects of exotic vertebrate herbivores on island native plants, particularly long-lived, slow-growing species. They also demonstrate significant potential benefits of exotic herbivore removal even without other active restoration, not only for vegetative cover but for a number of rare taxa. Our surveys were more spatially extensive than most post-removal studies; high spatial turnover in these data suggests that larger-scale monitoring may be critical to capture full effects of exotic animal removal.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10530-022-02735-4","usgsCitation":"Thomson, D.M., McEachern, K., Schultz, E., Niessen, K.G., Wilken, D., Chess, K.A., Cole, L.F., Oliver, R.Y., Phillips, J.D., and Tucker, A., 2022, Diverse native island flora shows rapid initial passive recovery after exotic herbivore removal on Santa Rosa Island, California: Biological Invasions, v. 24, p. 2635-1649, https://doi.org/10.1007/s10530-022-02735-4.","productDescription":"15 p.","startPage":"2635","endPage":"1649","ipdsId":"IP-121892","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":396772,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"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              -120.48431396484375,\n              33.779147331286474\n            ],\n            [\n              -119.77294921874999,\n              33.779147331286474\n            ],\n            [\n              -119.77294921874999,\n              34.14136162745489\n            ],\n            [\n              -120.48431396484375,\n              34.14136162745489\n            ],\n            [\n              -120.48431396484375,\n              33.779147331286474\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"24","noUsgsAuthors":false,"publicationDate":"2022-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Thomson, Diane M","contributorId":288076,"corporation":false,"usgs":false,"family":"Thomson","given":"Diane","email":"","middleInitial":"M","affiliations":[{"id":61702,"text":"W.M. Keck Science Department, The Claremont Colleges, 925 N. Mills Avenue, Claremont, CA, 91711, USA","active":true,"usgs":false}],"preferred":false,"id":837326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McEachern, Kathryn 0000-0003-2631-8247 kathryn_mceachern@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-8247","contributorId":146324,"corporation":false,"usgs":true,"family":"McEachern","given":"Kathryn","email":"kathryn_mceachern@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":837327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schultz, Emily L","contributorId":288077,"corporation":false,"usgs":false,"family":"Schultz","given":"Emily L","affiliations":[{"id":61702,"text":"W.M. Keck Science Department, The Claremont Colleges, 925 N. Mills Avenue, Claremont, CA, 91711, USA","active":true,"usgs":false}],"preferred":false,"id":837328,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Niessen, Kenneth G.","contributorId":215509,"corporation":false,"usgs":false,"family":"Niessen","given":"Kenneth","email":"","middleInitial":"G.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":837329,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilken, Dieter","contributorId":288078,"corporation":false,"usgs":false,"family":"Wilken","given":"Dieter","affiliations":[{"id":61704,"text":"Santa Barbara Botanic Garden, 1212 Mission Canyon Rd, Santa Barbara, CA, 93105, USA","active":true,"usgs":false}],"preferred":false,"id":837330,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chess, Katherine A.","contributorId":215508,"corporation":false,"usgs":false,"family":"Chess","given":"Katherine","email":"","middleInitial":"A.","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":837331,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cole, Lauren F","contributorId":288079,"corporation":false,"usgs":false,"family":"Cole","given":"Lauren","email":"","middleInitial":"F","affiliations":[{"id":61702,"text":"W.M. Keck Science Department, The Claremont Colleges, 925 N. Mills Avenue, Claremont, CA, 91711, USA","active":true,"usgs":false}],"preferred":false,"id":837332,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Oliver, Ruth Y","contributorId":243448,"corporation":false,"usgs":false,"family":"Oliver","given":"Ruth","email":"","middleInitial":"Y","affiliations":[],"preferred":false,"id":837333,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Phillips, Jennifer D","contributorId":288080,"corporation":false,"usgs":false,"family":"Phillips","given":"Jennifer","email":"","middleInitial":"D","affiliations":[{"id":61702,"text":"W.M. Keck Science Department, The Claremont Colleges, 925 N. Mills Avenue, Claremont, CA, 91711, USA","active":true,"usgs":false}],"preferred":false,"id":837334,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tucker, Acadia","contributorId":288081,"corporation":false,"usgs":false,"family":"Tucker","given":"Acadia","email":"","affiliations":[{"id":61702,"text":"W.M. Keck Science Department, The Claremont Colleges, 925 N. Mills Avenue, Claremont, CA, 91711, USA","active":true,"usgs":false}],"preferred":false,"id":837335,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70232643,"text":"70232643 - 2022 - Juvenile continental crust evolution in a modern oceanic arc setting: Petrogenesis of Cenozoic felsic plutons in Fiji, SW Pacific","interactions":[],"lastModifiedDate":"2022-07-11T11:28:14.938622","indexId":"70232643","displayToPublicDate":"2022-02-09T06:24:54","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Juvenile continental crust evolution in a modern oceanic arc setting: Petrogenesis of Cenozoic felsic plutons in Fiji, SW Pacific","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab005\" class=\"abstract author\" lang=\"en\"><div id=\"as005\"><p id=\"sp0005\">Viti Levu, Fiji, provides one of the best exposed Phanerozoic analogues for the formation of juvenile continental crust in an intra-oceanic setting. Tonalites and trondhjemites are present in several large (75–150&nbsp;km<sup>2</sup>) adjacent, mid-Cenozoic plutons. We report major and trace element data including rare earth element (REE) and high-precision high field strength element (HFSE) compositions, new Hf-Nd-Sr-Pb isotope data, and zircon U/Pb-ages, O-Hf isotopes, and trace elements, from five different plutons. The Eocene Yavuna pluton and the Miocene Colo plutons are mainly composed of tonalites and trondhjemites and represent the exposed middle crust of the former Vitiaz island arc. The plutons can be divided into three suites. One suite is light REE (LREE) depleted with some trace element ratios lower than average normal mid-ocean ridge basalts (N-MORB). A second suite has flat REE patterns similar to local island arc basalts. Both suites occur near the coast of Viti Levu, include a wide compositional spectrum from gabbro to tonalite, and can be produced mostly by fractional crystallization of mafic precursor melts. The third suite is characterized by LREE enrichments with higher La<sub>N</sub>/Yb<sub>N</sub><span>&nbsp;</span>(2.3–4.9), higher Zr/Y (4.3–7.1), and lower Nb/Ta (9.6–12.4). They occur closer to the center of the island and are bimodal trondhjemite-gabbro intrusions. These characteristics are consistent with formation mostly by partial melting of mafic crust. Trace element modeling shows that the trace element ratios of the third suite can be produced by 10–20 % melting of the mafic crust in the presence of residual amphibole, resulting in the retention of the medium REE (MREE) and diagnostic trace element ratios including low Nb/Ta and high Zr/Y. Geochemical similarities of the LREE enriched suite to typical “low”-pressure Archean tonalites-trondhjemites-granodiorites (TTGs) imply a common petrogenetic origin and similar mechanisms for the generation of juvenile Archean and modern differentiated crust by partial melting of mafic crust with residual amphibole. In modern oceanic arcs, genetically unrelated felsic plutonic as well as volcanic rocks co-exist, and in this regard, the Fijian plutons accompany major tectonic disruptions to arc processes.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2021.11.033","usgsCitation":"Marien, C.S., Drewes-Todd, E.K., Stork, A., Todd, E., Gill, J.B., Hoffman, J.E., Tani, K., Allen, C.M., and Munker, C., 2022, Juvenile continental crust evolution in a modern oceanic arc setting: Petrogenesis of Cenozoic felsic plutons in Fiji, SW Pacific: Geochimica et Cosmochimica Acta, v. 320, p. 339-365, https://doi.org/10.1016/j.gca.2021.11.033.","productDescription":"26 p.","startPage":"339","endPage":"365","ipdsId":"IP-126025","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":403359,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Fiji","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              175.25390624999997,\n              -19.76670355171696\n            ],\n            [\n              182.109375,\n              -19.76670355171696\n            ],\n            [\n              182.109375,\n              -14.306969497825788\n            ],\n            [\n              175.25390624999997,\n              -14.306969497825788\n            ],\n            [\n              175.25390624999997,\n              -19.76670355171696\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"320","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Marien, Chris S.","contributorId":292913,"corporation":false,"usgs":false,"family":"Marien","given":"Chris","email":"","middleInitial":"S.","affiliations":[{"id":63070,"text":"Institut für Geologie und Mineralogie, University of Cologne, 50674 Köln, Germany","active":true,"usgs":false}],"preferred":false,"id":846163,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drewes-Todd, Elizabeth Kathleen 0000-0003-0692-3714","orcid":"https://orcid.org/0000-0003-0692-3714","contributorId":243351,"corporation":false,"usgs":true,"family":"Drewes-Todd","given":"Elizabeth","email":"","middleInitial":"Kathleen","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":846162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stork, Allen","contributorId":292914,"corporation":false,"usgs":false,"family":"Stork","given":"Allen","email":"","affiliations":[{"id":63071,"text":"Department of Geology, Western Colorado University, Gunnison CO, USA","active":true,"usgs":false}],"preferred":false,"id":846164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Todd, Erin 0000-0002-4871-9730 etodd@usgs.gov","orcid":"https://orcid.org/0000-0002-4871-9730","contributorId":202811,"corporation":false,"usgs":true,"family":"Todd","given":"Erin","email":"etodd@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":846165,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gill, James B 0000-0003-2584-9687","orcid":"https://orcid.org/0000-0003-2584-9687","contributorId":248602,"corporation":false,"usgs":false,"family":"Gill","given":"James","email":"","middleInitial":"B","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":846166,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hoffman, J. Elis 0000-0001-6670-1393","orcid":"https://orcid.org/0000-0001-6670-1393","contributorId":292915,"corporation":false,"usgs":false,"family":"Hoffman","given":"J.","email":"","middleInitial":"Elis","affiliations":[{"id":63072,"text":"Institut für Geologische Wissenschaften, Freie Universität Berlin, 12249 Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":846167,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tani, Kenichiro 0000-0003-3374-8608","orcid":"https://orcid.org/0000-0003-3374-8608","contributorId":292916,"corporation":false,"usgs":false,"family":"Tani","given":"Kenichiro","email":"","affiliations":[{"id":63073,"text":"Department of Geology and Palaeontology, National Museum of Nature and Science, Japan","active":true,"usgs":false}],"preferred":false,"id":846168,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Allen, Charlotte M. 0000-0002-7288-6758","orcid":"https://orcid.org/0000-0002-7288-6758","contributorId":292917,"corporation":false,"usgs":false,"family":"Allen","given":"Charlotte","email":"","middleInitial":"M.","affiliations":[{"id":63074,"text":"Research School of Earth Sciences, The Australian National University, Canberra, ACT 0200, Australia","active":true,"usgs":false}],"preferred":false,"id":846169,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Munker, Carsten 0000-0001-6406-559X","orcid":"https://orcid.org/0000-0001-6406-559X","contributorId":292918,"corporation":false,"usgs":false,"family":"Munker","given":"Carsten","email":"","affiliations":[{"id":63070,"text":"Institut für Geologie und Mineralogie, University of Cologne, 50674 Köln, Germany","active":true,"usgs":false}],"preferred":false,"id":846170,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70255188,"text":"70255188 - 2022 - Estimating wolf abundance from cameras","interactions":[],"lastModifiedDate":"2024-06-14T16:17:05.49915","indexId":"70255188","displayToPublicDate":"2022-02-06T11:11:19","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Estimating wolf abundance from cameras","docAbstract":"<p><span>Monitoring the abundance of rare carnivores is a daunting task for wildlife biologists. Many carnivore populations persist at relatively low densities, public interest is high, and the need for population estimates is great. Recent advances in trail camera technology provide an unprecedented opportunity for biologists to monitor rare species economically. Few studies, however, have conducted rigorous analyses of our ability to estimate abundance of low-density carnivores with cameras. We used motion-triggered trail cameras and a space-to-event model to estimate gray wolf (</span><i>Canis lupus</i><span>) abundance across three study areas in Idaho, USA, 2016–2018. We compared abundance estimates between cameras and noninvasive genetic sampling that had been extensively tested in our study areas. Estimates of mean wolf abundance from camera and genetic surveys were within 22% of one another and 95% CIs overlapped in 2 of the 3 years. A single camera with many detections appeared to bias camera estimates high in 2018. A subsequent bootstrapping procedure produced a population estimate from cameras equal to that derived from genetic sampling, however. Camera surveys were less than half the cost of genetic surveys once initial camera purchases were made. Our results suggest that cameras can be a viable method for estimating wolf abundance across broad landscapes (&gt;10,000 km</span><sup>2</sup><span>).</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3933","usgsCitation":"Ausband, D.E., Lukacs, P.M., Hurley, M., Roberts, S., Strickfaden, K.M., and Moeller, A.K., 2022, Estimating wolf abundance from cameras: Ecosphere, v. 13, no. 3, e3933, 8 p., https://doi.org/10.1002/ecs2.3933.","productDescription":"e3933, 8 p.","ipdsId":"IP-127324","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490031,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3933","text":"Publisher Index Page"},{"id":430214,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.27446366280928,\n              44.31760887473328\n            ],\n            [\n              -116.04474769799485,\n              43.63573860529246\n            ],\n            [\n              -114.91434636204788,\n              44.35330616742618\n            ],\n            [\n              -113.82239386322908,\n              44.47620619443575\n            ],\n            [\n              -113.55750390521284,\n              45.06145713298196\n            ],\n            [\n              -113.94277353962592,\n              45.707133973439966\n            ],\n            [\n              -114.39076245396207,\n              45.48040816198744\n            ],\n            [\n              -114.60043079769942,\n              45.629047190084634\n            ],\n            [\n              -114.33198947843407,\n   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A.","contributorId":287804,"corporation":false,"usgs":false,"family":"Hurley","given":"Mark A.","affiliations":[{"id":56023,"text":"idfg","active":true,"usgs":false}],"preferred":false,"id":903695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roberts, Shane","contributorId":279606,"corporation":false,"usgs":false,"family":"Roberts","given":"Shane","affiliations":[{"id":56023,"text":"idfg","active":true,"usgs":false}],"preferred":false,"id":903696,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Strickfaden, Kaitlyn M.","contributorId":339386,"corporation":false,"usgs":false,"family":"Strickfaden","given":"Kaitlyn","email":"","middleInitial":"M.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":903697,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moeller, Anna K.","contributorId":338940,"corporation":false,"usgs":false,"family":"Moeller","given":"Anna","email":"","middleInitial":"K.","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":903698,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70256689,"text":"70256689 - 2022 - Estimating bee abundance: Can mark-recapture methods validate common sampling protocols?","interactions":[],"lastModifiedDate":"2024-08-01T19:32:23.629013","indexId":"70256689","displayToPublicDate":"2022-01-31T14:04:02","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18173,"text":"Apidologie","active":true,"publicationSubtype":{"id":10}},"title":"Estimating bee abundance: Can mark-recapture methods validate common sampling protocols?","docAbstract":"Wild bees are essential pollinators in natural and agricultural systems, but populations of some species have declined. Efforts to assess the status of wild bees are hindered by uncertainty in common sampling methods, such as pan traps and aerial netting, which may or may not provide a valid index of abundance across species and habitats. Mark-recapture methods are a common and effective means of estimating population size, widely used in vertebrates but rarely applied to bees. Here we review existing mark-recapture studies of wild bees and present a new case study comparing mark-recapture population estimates to pan trap and net capture for four taxa in a wild bee community. Net, but not trap, capture was correlated with abundance estimates across sites and taxa. Logistical limitations ensure that mark-recapture studies will not fully replace other bee sampling methods, but they do provide a feasible way to monitor selected species and measure the performance of other sampling methods.","language":"English","publisher":"Springer","doi":"10.1007/s13592-022-00919-4","usgsCitation":"Briggs, E.L., Baranski, C., Munzer Schaetz, O., Garrison, G., Youngsteadt, E., and Collazo, J.A., 2022, Estimating bee abundance: Can mark-recapture methods validate common sampling protocols?: Apidologie, v. 53, no. 10, 24 p., https://doi.org/10.1007/s13592-022-00919-4.","productDescription":"24 p.","ipdsId":"IP-134206","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":448971,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13592-022-00919-4","text":"Publisher Index Page"},{"id":432054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"10","noUsgsAuthors":false,"publicationDate":"2022-03-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Briggs, Emma L.","contributorId":341588,"corporation":false,"usgs":false,"family":"Briggs","given":"Emma","email":"","middleInitial":"L.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":908660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baranski, Christopher","contributorId":341592,"corporation":false,"usgs":false,"family":"Baranski","given":"Christopher","email":"","affiliations":[{"id":36454,"text":"North Carolina Wildlife Resources Commission","active":true,"usgs":false}],"preferred":false,"id":908664,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munzer Schaetz, Olivia","contributorId":341589,"corporation":false,"usgs":false,"family":"Munzer Schaetz","given":"Olivia","email":"","affiliations":[{"id":36454,"text":"North Carolina Wildlife Resources Commission","active":true,"usgs":false}],"preferred":false,"id":908661,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garrison, Gabriela","contributorId":341590,"corporation":false,"usgs":false,"family":"Garrison","given":"Gabriela","email":"","affiliations":[{"id":36454,"text":"North Carolina Wildlife Resources Commission","active":true,"usgs":false}],"preferred":false,"id":908662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Youngsteadt, Elsa","contributorId":341591,"corporation":false,"usgs":false,"family":"Youngsteadt","given":"Elsa","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":908663,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collazo, Jaime A. 0000-0002-1816-7744","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":217287,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908659,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70239092,"text":"70239092 - 2022 - Long-term suspended sediment and particulate organic carbon yields from the Reynolds Creek Experimental Watershed and Critical Zone Observatory","interactions":[],"lastModifiedDate":"2022-12-27T13:21:07.439786","indexId":"70239092","displayToPublicDate":"2022-01-21T07:17:14","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Long-term suspended sediment and particulate organic carbon yields from the Reynolds Creek Experimental Watershed and Critical Zone Observatory","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Long-term (&gt;20 y) suspended sediment (SS) and particulate organic carbon (POC) records are relatively rare and yet are necessary for understanding linkages between climate, erosion and carbon export. We estimated long-term (&gt;23 y) SS and POC yields from four nested catchments that ranged from &lt;1 to 54 km<sup>2</sup><span>&nbsp;</span>in area across the Reynolds Creek Experimental Watershed and Critical Zone Observatory (RCEW-CZO) in southwestern Idaho, USA. We found strong relationships between log<sub>10</sub>SS and log<sub>10</sub>POC (R<sup>2</sup>&nbsp;=&nbsp;0.38–0.86) that varied across catchments but remained robust across years, one dry and one of the wettest water years on record. Mean annual SS yields varied from 18 to 89 g SS m<sup>−2</sup>&nbsp;y<sup>−1</sup><span>&nbsp;</span>and POC from 0.6 to 11.0&nbsp;g C m<sup>−2</sup>&nbsp;y<sup>−1</sup><span>&nbsp;</span>across the four catchments. Water yield explained much of the temporal variation (72%–85%) in SS and POC yields except in a small, snow-dominated headwater catchment where it explained 15%–51%. The largest five water years accounted for 69%–84% of the total SS and POC yields in catchments with 24 y records. All catchments had positive slopes (&gt;0) for SS and POC concentration-discharge (C-Q) relationships, with large catchments exhibiting greater slopes (0.66–0.97) than smaller ones (0.14–0.16). In addition, most catchments were dominated (80%) by clockwise hysteretic curves. Lack of seasonal exhaustion in the SS-POC relationships, positive C-Q and clockwise relations indicated that these systems were transport-rather than supply limited, and that sediment and POC appeared to be sourced from channel/bank erosion and remobilization. POC yields represent 1%–10% of mean water year net ecosystem exchange depending on elevation; lower elevation catchments may shift from being carbon sinks to sources after accounting for fluvial POC export associated with changes in climate.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.14484","usgsCitation":"Glossner, K.L., Lohse, K.A., Appling, A.P., Cram, Z.K., Murray, E., Godsey, S., Van Vactor, S., McCorkle, E.P., Seyfried, M., and Pierson, F., 2022, Long-term suspended sediment and particulate organic carbon yields from the Reynolds Creek Experimental Watershed and Critical Zone Observatory: Hydrological Processes, v. 36, no. 2, e14484, 19 p., https://doi.org/10.1002/hyp.14484.","productDescription":"e14484, 19 p.","ipdsId":"IP-122641","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":411057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Reynolds Creek Experimental Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.90569285666032,\n              43.52658107596329\n            ],\n            [\n              -116.90569285666032,\n              43.02287048036408\n            ],\n            [\n              -116.28522881644315,\n              43.02287048036408\n            ],\n            [\n              -116.28522881644315,\n              43.52658107596329\n            ],\n            [\n              -116.90569285666032,\n              43.52658107596329\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"36","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Glossner, Kayla L 0000-0002-8437-5357","orcid":"https://orcid.org/0000-0002-8437-5357","contributorId":300345,"corporation":false,"usgs":false,"family":"Glossner","given":"Kayla","email":"","middleInitial":"L","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":860020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lohse, Kathleen A. 0000-0003-1779-6773","orcid":"https://orcid.org/0000-0003-1779-6773","contributorId":196995,"corporation":false,"usgs":false,"family":"Lohse","given":"Kathleen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":860021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":860022,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cram, Zane K","contributorId":300346,"corporation":false,"usgs":false,"family":"Cram","given":"Zane","email":"","middleInitial":"K","affiliations":[{"id":39499,"text":"USDA - ARS","active":true,"usgs":false}],"preferred":false,"id":860023,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murray, Erin","contributorId":300347,"corporation":false,"usgs":false,"family":"Murray","given":"Erin","affiliations":[{"id":39499,"text":"USDA - ARS","active":true,"usgs":false}],"preferred":false,"id":860024,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Godsey, Sarah E. 0000-0001-6529-7886","orcid":"https://orcid.org/0000-0001-6529-7886","contributorId":296000,"corporation":false,"usgs":false,"family":"Godsey","given":"Sarah","middleInitial":"E.","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":860025,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Vactor, Steve 0000-0003-0243-3398","orcid":"https://orcid.org/0000-0003-0243-3398","contributorId":300348,"corporation":false,"usgs":false,"family":"Van Vactor","given":"Steve","email":"","affiliations":[{"id":39499,"text":"USDA - ARS","active":true,"usgs":false}],"preferred":false,"id":860026,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCorkle, Emma P","contributorId":300349,"corporation":false,"usgs":false,"family":"McCorkle","given":"Emma","email":"","middleInitial":"P","affiliations":[{"id":65090,"text":"Reynolds Creek Critical Zone Observatory","active":true,"usgs":false}],"preferred":false,"id":860027,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Seyfried, Mark 0000-0001-8081-0713","orcid":"https://orcid.org/0000-0001-8081-0713","contributorId":256763,"corporation":false,"usgs":false,"family":"Seyfried","given":"Mark","email":"","affiliations":[{"id":51849,"text":"United States Department of Agriculture - Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":860028,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pierson, Frederick B","contributorId":169774,"corporation":false,"usgs":false,"family":"Pierson","given":"Frederick B","affiliations":[{"id":25588,"text":"USDA-ARS Northwest Watershed Research Center, Boise, ID 83712","active":true,"usgs":false}],"preferred":false,"id":860029,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70236588,"text":"70236588 - 2022 - Shifting precipitation regimes alter the phenology and population dynamics of low latitude ectotherms","interactions":[],"lastModifiedDate":"2022-09-12T14:35:34.563214","indexId":"70236588","displayToPublicDate":"2022-01-19T09:29:38","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12584,"text":"Climate Change Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Shifting precipitation regimes alter the phenology and population dynamics of low latitude ectotherms","docAbstract":"<p><span>Predicting how species respond to changes in climate is critical to conserving biodiversity. Modeling efforts to date have largely centered on predicting the effects of warming temperatures on temperate species&nbsp;phenology. In and near the tropics, the effects of a warming planet on species phenology are more likely to be driven by changes in the seasonal precipitation cycle rather than temperature. To demonstrate the importance of considering precipitation-driven phenology in ecological studies, we present a case study wherein we construct a mechanistic population model for a rare subtropical butterfly (Miami blue butterfly,&nbsp;</span><i>Cyclargus thomasi bethunebakeri</i><span>) and use a suite of global climate models to project butterfly populations into the future. Across all iterations of the model, the trajectory of Miami blue populations is uncertain. We identify both biological uncertainty (unknown&nbsp;diapause&nbsp;survival rate) and climate uncertainty (ambiguity in the sign of precipitation change across climate models), and their interaction as key factors that determine persistence vs. extinction. Despite uncertainty, the most optimistic iteration of the model predicts that Miami blue butterfly populations will decline under the higher emissions scenario (RCP 8.5). The lack of climate model agreement across the projection ensemble suggests that investigations into the&nbsp;effect of climate change&nbsp;on precipitation-driven phenology require a higher level of rigor in the uncertainty analysis compared to analogous studies of temperature. For tropical species, a mechanistic approach that incorporates both biological and climate uncertainty is the best path forward to understand the effect shifting precipitation regimes have on phenology and population dynamics.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecochg.2022.100051","usgsCitation":"Henry, E.H., Terando, A., Morris, W., Daniels, J.C., and Haddad, N.M., 2022, Shifting precipitation regimes alter the phenology and population dynamics of low latitude ectotherms: Climate Change Ecology, v. 3, 100051, 10 p., https://doi.org/10.1016/j.ecochg.2022.100051.","productDescription":"100051, 10 p.","ipdsId":"IP-115502","costCenters":[{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":449111,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecochg.2022.100051","text":"Publisher Index Page"},{"id":406534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Keys","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.18597412109375,\n              24.505893706264033\n            ],\n            [\n              -81.86325073242188,\n              24.505893706264033\n            ],\n            [\n              -81.86325073242188,\n              24.605820556242126\n            ],\n            [\n              -82.18597412109375,\n              24.605820556242126\n            ],\n            [\n              -82.18597412109375,\n              24.505893706264033\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Henry, Erica H","contributorId":296418,"corporation":false,"usgs":false,"family":"Henry","given":"Erica","email":"","middleInitial":"H","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":851456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terando, Adam 0000-0002-9280-043X","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":205908,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":851457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morris, William F.","contributorId":296419,"corporation":false,"usgs":false,"family":"Morris","given":"William F.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":851458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Daniels, Jaret C.","contributorId":223585,"corporation":false,"usgs":false,"family":"Daniels","given":"Jaret","email":"","middleInitial":"C.","affiliations":[{"id":40743,"text":"Florida Museum of Natural History and University of Florida","active":true,"usgs":false}],"preferred":false,"id":851459,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haddad, Nick M.","contributorId":229345,"corporation":false,"usgs":false,"family":"Haddad","given":"Nick","email":"","middleInitial":"M.","affiliations":[{"id":41625,"text":"Kellogg Biological Station and Department of Integrative Biology, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":851460,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70237287,"text":"70237287 - 2022 - Sediment sources and sealed-pavement area drive polycyclic aromatic hydrocarbon and metal occurrence in urban streams","interactions":[],"lastModifiedDate":"2022-10-06T13:37:24.906327","indexId":"70237287","displayToPublicDate":"2022-01-19T08:26:25","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Sediment sources and sealed-pavement area drive polycyclic aromatic hydrocarbon and metal occurrence in urban streams","docAbstract":"<p><span>Metals and polycyclic aromatic hydrocarbons (PAHs) are common pollutants in urban streambed sediment, yet their occurrence is highly variable and difficult to predict. To investigate sources of PAHs and metals to streambed sediment, we sampled pavement dust, soil, and streambed sediment in 10 urban watersheds in three regions of the United States and applied a fallout-radionuclide-based sediment-source analysis to quantify the pavement dust contribution to stream sediment (%dust). We also mapped the area of sealcoated pavement in each watershed (%sealed) to investigate the role of coal-tar pavement sealant (CTS) as a PAH source. Median total and carbon-normalized total PAH concentrations were significantly higher in streambed sediment in the Northeast (54.3 mg/kg and 2.71 mg/gOC) and Southeast (5.37 mg/kg and 1.36 mg/gOC), where CTS is commonly used, than in the Northwest (2.11 mg/kg and 0.071 mg/gOC), where CTS is rarely used. Generalized additive models indicated that %sealed and in some cases %dust significantly affected total PAH concentrations in streambed sediments. The %dust was a significant variable for common urban metals: Cu, Pb, and Zn. These findings advance our quantitative understanding of the role of pavement dust as a source and a vector of contaminants to urban streams.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.1c00414","usgsCitation":"Van Metre, P.C., Mahler, B., Qi, S.L., Gellis, A.C., Fuller, C.C., and Schmidt, T., 2022, Sediment sources and sealed-pavement area drive polycyclic aromatic hydrocarbon and metal occurrence in urban streams: Environmental Science and Technology, v. 56, no. 3, p. 1615-1626, https://doi.org/10.1021/acs.est.1c00414.","productDescription":"12 p.","startPage":"1615","endPage":"1626","ipdsId":"IP-121967","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":374,"text":"Maryland 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 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,{"id":70256713,"text":"70256713 - 2022 - Seed germination responses to salinity for three rare wetland plants of spring-fed arid systems","interactions":[],"lastModifiedDate":"2024-09-03T15:42:50.820207","indexId":"70256713","displayToPublicDate":"2022-01-15T10:32:40","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Seed germination responses to salinity for three rare wetland plants of spring-fed arid systems","docAbstract":"<p><span>Spring-fed wetlands within arid systems host unique species of plants, many of which are threatened due to the vulnerability of these ecosystems. Increased salinity and drier hydrologic regimes due to anthropogenic activities threaten these systems. Furthermore, limited knowledge regarding key life history traits of species jeopardize the restoration and management of their rare plants. Here, we evaluated key aspects of the seed ecophysiology of three rare plants of the Southwestern United States:&nbsp;</span><i>Helianthus paradoxus</i><span>&nbsp;(Pecos sunflower),&nbsp;</span><i>Cirsium wrightii</i><span>&nbsp;(Wright's marsh thistle), and&nbsp;</span><i>Agalinis calycina</i><span>&nbsp;(Leoncita false-foxglove). We examined seed dormancy break under controlled conditions and evaluated the effects of field-derived salinity gradients on seed dormancy break and germination. Seeds of&nbsp;</span><i>C. wrightii</i><span>&nbsp;were nondormant at dispersal, germination was high (&gt;70%) under all treatments and was not affected by the tested salinities. Germination in&nbsp;</span><i>H. paradoxus</i><span>&nbsp;was high (&gt;70%) following cold stratification, but increasing salinities reduced germination.&nbsp;</span><i>A. calycina</i><span>&nbsp;seeds required cold stratification, but germination was low (&lt;50%) under all tested treatments and increasing salinities during incubation had the greatest negative effects in this species. Our findings contribute to the restoration of rare wetland plants within spring-fed arid marshes susceptible to groundwater declines and human-induced salinization.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2021.104705","usgsCitation":"Cantu de Leija, A., King, S.L., and Hawkins, T.S., 2022, Seed germination responses to salinity for three rare wetland plants of spring-fed arid systems: Journal of Arid Environments, v. 199, 104705, 9 p., https://doi.org/10.1016/j.jaridenv.2021.104705.","productDescription":"104705, 9 p.","ipdsId":"IP-132822","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":449151,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jaridenv.2021.104705","text":"Publisher Index Page"},{"id":433410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Bitter Lake National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -104.36080938594469,\n              33.520358619429445\n            ],\n            [\n              -104.43881579390636,\n              33.51880990926614\n            ],\n            [\n              -104.4425286679454,\n              33.4036104944898\n            ],\n            [\n              -104.3632761203099,\n              33.4036104944898\n            ],\n            [\n              -104.36080938594469,\n              33.520358619429445\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"199","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cantu de Leija, Antonio","contributorId":341654,"corporation":false,"usgs":false,"family":"Cantu de Leija","given":"Antonio","email":"","affiliations":[{"id":81771,"text":"1307 School of Renewable Natural Resources","active":true,"usgs":false}],"preferred":false,"id":908747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawkins, Tracy S.","contributorId":341655,"corporation":false,"usgs":false,"family":"Hawkins","given":"Tracy","email":"","middleInitial":"S.","affiliations":[{"id":81773,"text":"Research Ecologist","active":true,"usgs":false}],"preferred":false,"id":908748,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70229817,"text":"70229817 - 2022 - Relative bias in catch among long-term fish monitoring surveys within the San Francisco Estuary","interactions":[],"lastModifiedDate":"2022-03-18T14:34:13.706782","indexId":"70229817","displayToPublicDate":"2022-01-01T09:21:53","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Relative bias in catch among long-term fish monitoring surveys within the San Francisco Estuary","docAbstract":"<p><span>Fish monitoring gears rarely capture all available fish, an inherent bias in monitoring programs referred to as catchability. Catchability is a source of bias that can be affected by numerous aspects of gear deployment (e.g., deployment speed, mesh size, and avoidance behavior). Thus, care must be taken when multiple surveys—especially those using different sampling methods—are combined to answer spatio-temporal questions about population and community dynamics. We assessed relative catchability differences among four long-term fish monitoring surveys from the San Francisco Estuary: the Bay Study Otter Trawl (BSOT), the Bay Study Midwater Trawl (BSMT), the Fall Midwater Trawl (FMWT), and the Suisun Marsh Otter Trawl (SMOT). We used generalized additive models with a spatio-temporal smoother and survey as a fixed effect to predict gear-specific estimates of catch for 45 different fish species within large and small size classes. We used estimates of the fixed effect coefficients for each survey (e.g., BSOT) relative to the reference gear (FMWT) to develop relative measures of catchability among taxa, surveys, and fish-size classes, termed the catch-ratio. We found higher relative catchability of 27%, 22%, and 57% of fish species in large size classes from the FMWT than in the BSMT, BSOT, or SMOT, respectively. In the small size class, relative catchability was higher in the FMWT than the BSMT, BSOT, or SMOT for 50%, 18%, and 25% of fish species, respectively. As expected, relative catchability of demersal species was higher in the otter trawls (BSOT, SMOT) while relative catchability of pelagic species was higher in the midwater trawls (FMWT, BSMT). Our results demonstrate that catchability is a source of bias among monitoring efforts within the San Francisco Estuary, and assuming equal catchability among surveys, species, and size classes could result in significant bias when describing spatio-temporal patterns in catch if ignored.</span></p>","language":"English","publisher":"University of California Davis","doi":"10.15447/sfews.2022v20iss1art3","usgsCitation":"Huntsman, B., Mahardja, B., and Bashevkin, S., 2022, Relative bias in catch among long-term fish monitoring surveys within the San Francisco Estuary: San Francisco Estuary and Watershed Science, v. 20, no. 1, 3, 17 p., https://doi.org/10.15447/sfews.2022v20iss1art3.","productDescription":"3, 17 p.","ipdsId":"IP-130127","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":449301,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2022v20iss1art3","text":"Publisher Index Page"},{"id":397305,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.684326171875,\n              37.1165261849112\n            ],\n            [\n              -121.2,\n              37.1165261849112\n            ],\n            [\n              -121.2,\n              39.00211029922515\n            ],\n            [\n              -122.684326171875,\n              39.00211029922515\n            ],\n            [\n              -122.684326171875,\n              37.1165261849112\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Huntsman, Brock 0000-0003-4090-1949","orcid":"https://orcid.org/0000-0003-4090-1949","contributorId":223101,"corporation":false,"usgs":true,"family":"Huntsman","given":"Brock","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":838466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahardja, Brian 0000-0003-0695-3745","orcid":"https://orcid.org/0000-0003-0695-3745","contributorId":288940,"corporation":false,"usgs":false,"family":"Mahardja","given":"Brian","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":838467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bashevkin, Samuel M.","contributorId":288941,"corporation":false,"usgs":false,"family":"Bashevkin","given":"Samuel M.","affiliations":[{"id":61910,"text":"Delta Science Program, Delta Stewardship Council","active":true,"usgs":false}],"preferred":false,"id":838468,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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