{"pageNumber":"184","pageRowStart":"4575","pageSize":"25","recordCount":40767,"records":[{"id":70228579,"text":"70228579 - 2022 - Fast rupture of the 2009 Mw 6.9 Canal de Ballenas earthquake in the Gulf of California dynamically triggers seismicity in California","interactions":[],"lastModifiedDate":"2022-04-11T16:57:38.241489","indexId":"70228579","displayToPublicDate":"2022-02-14T08:52:46","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Fast rupture of the 2009 Mw 6.9 Canal de Ballenas earthquake in the Gulf of California dynamically triggers seismicity in California","docAbstract":"In the Gulf of California, Mexico, the relative motion across the North America-Pacific boundary is accommodated by a series of marine transform faults and spreading centers. About 40 M>6 earthquakes have occurred in the region since 1960. On 3 August 2009, an Mw 6.9 earthquake occurred near Canal de Ballenas in the region. The earthquake was a strike-slip event with a shallow hypocenter that is likely close to the seafloor. In contrast to an adjacent M7 earthquake, this earthquake triggered a ground-motion-based earthquake early warning algorithm being tested in southern California (∼600 km away). This observation suggests that the abnormally large ground motions and dynamic strains observed for this earthquake relate to its rupture properties. To investigate this possibility, we image the rupture process and resolve the slip distribution of the event using a P-wave back-projection approach and a teleseismic, finite-fault inversion method. Results from these two independent analyses indicate a relatively simple, unilateral rupture propagation directed along-strike in the northward direction. However, the average rupture speed is estimated around 4 km/s, suggesting a possible supershear rupture. The supershear speed is also supported by a Rayleigh wave Mach cone analysis, although uncertainties in local velocity structure preclude a definitive conclusion. The Canal de Ballenas earthquake dynamically triggered seismicity at multiple sites in California, with triggering response characteristics varying from location-to-location. For instance, some of the triggered earthquakes in California occurred up to 24 hours later, suggesting that nonlinear triggering mechanisms likely have modulated their occurrence.","language":"English","publisher":"Oxford University Press","doi":"10.1093/gji/ggac059","usgsCitation":"Fan, W., Okuwaki, R., Barbour, A.J., Huang, Y., Lin, G., and Cochran, E.S., 2022, Fast rupture of the 2009 Mw 6.9 Canal de Ballenas earthquake in the Gulf of California dynamically triggers seismicity in California: Geophysical Journal International, v. 230, no. 1, p. 528-541, https://doi.org/10.1093/gji/ggac059.","productDescription":"14 p.","startPage":"528","endPage":"541","ipdsId":"IP-133128","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":395882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","state":"Baja California","otherGeospatial":"Canal de Ballenas, Gulf of California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.5599365234375,\n              28.23180985121183\n            ],\n            [\n              -111.29150390625,\n              28.23180985121183\n            ],\n            [\n              -111.29150390625,\n              30.031055426540206\n            ],\n            [\n              -114.5599365234375,\n              30.031055426540206\n            ],\n            [\n              -114.5599365234375,\n              28.23180985121183\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"230","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Fan, Wenyuan","contributorId":174007,"corporation":false,"usgs":false,"family":"Fan","given":"Wenyuan","email":"","affiliations":[{"id":6728,"text":"Scripps Inst Oceanography","active":true,"usgs":false}],"preferred":false,"id":834662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Okuwaki, Ryo","contributorId":174014,"corporation":false,"usgs":false,"family":"Okuwaki","given":"Ryo","email":"","affiliations":[{"id":27339,"text":"University of Tsukuba","active":true,"usgs":false}],"preferred":false,"id":834663,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barbour, Andrew J. 0000-0002-6890-2452","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":215339,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":834664,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huang, Yihe","contributorId":276214,"corporation":false,"usgs":false,"family":"Huang","given":"Yihe","email":"","affiliations":[{"id":56937,"text":"Univ Michigan","active":true,"usgs":false}],"preferred":false,"id":834665,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lin, Guoqing","contributorId":168856,"corporation":false,"usgs":false,"family":"Lin","given":"Guoqing","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":834666,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":834667,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70228602,"text":"70228602 - 2022 - NWTOPT — A hyperparameter optimization approach for selection of environmental model solver settings","interactions":[],"lastModifiedDate":"2022-02-14T14:29:36.859424","indexId":"70228602","displayToPublicDate":"2022-02-14T08:25:44","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"NWTOPT — A hyperparameter optimization approach for selection of environmental model solver settings","docAbstract":"Hyperparameter optimization approaches were applied to improve performance and accuracy of groundwater flow models. Freely available new software, NWTOPT, is described that uses Tree of Parzen Estimators (TPE) and Random Search algorithms to optimize MODFLOW-NWTs solver settings. We ran 3500 trials on a steady-state and transient model. To quantify the performance of candidate solver settings, we defined a loss function based on time elapsed and mass balance error of the MODFLOW-NWT forward run. Before optimization the steady- state model ran in ~12 min and the transient model ran in ~5 h with acceptable mass balance error (<1%). After optimization runtimes were reduced to ~2.7 min (steady state) and ~48 min (transient) with errors below 0.1%. In both cases TPE found hyperparameters that resulted in faster running and lower error models than those found by Random Search. The time to complete the optimization trials was also shorter with the TPE algorithm.","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2021.105250","usgsCitation":"Newcomer, M.W., and Hunt, R., 2022, NWTOPT — A hyperparameter optimization approach for selection of environmental model solver settings: Environmental Modelling and Software, v. 147, p. 1-7, https://doi.org/10.1016/j.envsoft.2021.105250.","productDescription":"105250, 7 p.","startPage":"1","endPage":"7","ipdsId":"IP-131832","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":448809,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2021.105250","text":"Publisher Index Page"},{"id":435970,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CPBZJX","text":"USGS data release","linkHelpText":"NWTOPT"},{"id":395877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"147","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Newcomer, Max William 0000-0003-2491-546X","orcid":"https://orcid.org/0000-0003-2491-546X","contributorId":276318,"corporation":false,"usgs":true,"family":"Newcomer","given":"Max","email":"","middleInitial":"William","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":834745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunt, Randall J. 0000-0001-6465-9304","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":16118,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":834746,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70239098,"text":"70239098 - 2022 - Light and flow regimes regulate the metabolism of rivers","interactions":[],"lastModifiedDate":"2022-12-27T13:52:14.349473","indexId":"70239098","displayToPublicDate":"2022-02-14T07:40:50","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Light and flow regimes regulate the metabolism of rivers","docAbstract":"<p><span>Mean annual temperature and mean annual precipitation drive much of the variation in productivity across Earth's terrestrial ecosystems but do not explain variation in gross primary productivity (GPP) or ecosystem respiration (ER) in flowing waters. We document substantial variation in the magnitude and seasonality of GPP and ER across 222 US rivers. In contrast to their terrestrial counterparts, most river ecosystems respire far more carbon than they fix and have less pronounced and consistent seasonality in their metabolic rates. We find that variation in annual solar energy inputs and stability of flows are the primary drivers of GPP and ER across rivers. A classification schema based on these drivers advances river science and informs management.</span></p>","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2121976119","usgsCitation":"Bernhardt, E.S., Savoy, P., Vlah, M.J., Appling, A.P., Koenig, L., Hall Jr., R., Arroita, M., Blaszczak, J., Carter, A.M., Cohen, M.J., Harvey, J., Heffernan, J.B., Helton, A.M., Hosen, J., Kirk, L., McDowell, W.H., Stanley, E.H., Yackulic, C., and Grimm, N.B., 2022, Light and flow regimes regulate the metabolism of rivers: Proceedings of the National Academy of Sciences, v. 119, no. 8, e2121976119, 5 p., https://doi.org/10.1073/pnas.2121976119.","productDescription":"e2121976119, 5 p.","ipdsId":"IP-135271","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":448811,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2121976119","text":"Publisher Index Page"},{"id":411062,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"8","noUsgsAuthors":false,"publicationDate":"2022-02-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Bernhardt, Emily. S","contributorId":300289,"corporation":false,"usgs":false,"family":"Bernhardt","given":"Emily.","email":"","middleInitial":"S","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":860037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Savoy, Philip 0000-0002-6075-837X","orcid":"https://orcid.org/0000-0002-6075-837X","contributorId":300288,"corporation":false,"usgs":true,"family":"Savoy","given":"Philip","email":"","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":860038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vlah, Michael J","contributorId":300353,"corporation":false,"usgs":false,"family":"Vlah","given":"Michael","email":"","middleInitial":"J","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":860039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Appling, Alison Paige 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":300354,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"Paige","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":860040,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koenig, Lauren E 0000-0002-7790-330X","orcid":"https://orcid.org/0000-0002-7790-330X","contributorId":298697,"corporation":false,"usgs":false,"family":"Koenig","given":"Lauren E","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":860041,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hall Jr., Robert O","contributorId":292567,"corporation":false,"usgs":false,"family":"Hall Jr.","given":"Robert O","affiliations":[{"id":41061,"text":"Flathead Lake Biological Station, University of Montana, Polson, MT 59860","active":true,"usgs":false}],"preferred":false,"id":860042,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Arroita, Maite 0000-0001-8754-7604","orcid":"https://orcid.org/0000-0001-8754-7604","contributorId":203307,"corporation":false,"usgs":false,"family":"Arroita","given":"Maite","email":"","affiliations":[{"id":36597,"text":"Flathead Lake Biological Station, University of Montana; University of the Basque Country","active":true,"usgs":false}],"preferred":false,"id":860043,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Blaszczak, Joanna 0000-0001-5122-0829","orcid":"https://orcid.org/0000-0001-5122-0829","contributorId":225159,"corporation":false,"usgs":false,"family":"Blaszczak","given":"Joanna","email":"","affiliations":[{"id":41055,"text":"Natural Resources and Environmental Science, University of Nevada, Reno, NV 89557, USA","active":true,"usgs":false}],"preferred":false,"id":860044,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carter, Alice M. 0000-0002-7225-7249","orcid":"https://orcid.org/0000-0002-7225-7249","contributorId":298702,"corporation":false,"usgs":false,"family":"Carter","given":"Alice","email":"","middleInitial":"M.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":860045,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cohen, Matthew J.","contributorId":138990,"corporation":false,"usgs":false,"family":"Cohen","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":860046,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"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":860047,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Heffernan, James B. 0000-0001-7641-9949","orcid":"https://orcid.org/0000-0001-7641-9949","contributorId":211189,"corporation":false,"usgs":false,"family":"Heffernan","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":860048,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Helton, Ashley M. 0000-0001-6928-2104","orcid":"https://orcid.org/0000-0001-6928-2104","contributorId":298703,"corporation":false,"usgs":false,"family":"Helton","given":"Ashley","email":"","middleInitial":"M.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":860049,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hosen, J.D. 0000-0003-2559-0687","orcid":"https://orcid.org/0000-0003-2559-0687","contributorId":210149,"corporation":false,"usgs":false,"family":"Hosen","given":"J.D.","affiliations":[{"id":38085,"text":"Yale Univ.","active":true,"usgs":false}],"preferred":false,"id":860050,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Kirk, Lily","contributorId":300290,"corporation":false,"usgs":false,"family":"Kirk","given":"Lily","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":860051,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"McDowell, William H.","contributorId":198684,"corporation":false,"usgs":false,"family":"McDowell","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":860052,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":860053,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":860054,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Grimm, Nancy B.","contributorId":44058,"corporation":false,"usgs":false,"family":"Grimm","given":"Nancy","email":"","middleInitial":"B.","affiliations":[{"id":24511,"text":"Arizona State University, Tempe AZ USA 85287","active":true,"usgs":false}],"preferred":false,"id":860055,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70230406,"text":"70230406 - 2022 - Smoothed Particle Hydrodynamics simulations of reef surf zone processes driven by plunging irregular waves","interactions":[],"lastModifiedDate":"2022-04-12T12:20:14.982267","indexId":"70230406","displayToPublicDate":"2022-02-14T07:19:24","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2925,"text":"Ocean Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Smoothed Particle Hydrodynamics simulations of reef surf zone processes driven by plunging irregular waves","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"d1e2053\" class=\"abstract author\"><div id=\"d1e2056\"><p id=\"d1e2057\"><span>As waves interact with the slopes of&nbsp;coral reefs&nbsp;and other steep&nbsp;bathymetry&nbsp;profiles, plunging breaking usually occurs where the free surface overturns and violent water motion is triggered. Resolving these&nbsp;surf zone&nbsp;processes pose significant challenges for conventional mesh-based hydrodynamic models, due to the rapidly-deforming nature of the free surface and associated flows. Yet the accurate prediction of these surf zone hydrodynamics is critical for predicting a wide range of nearshore processes driven by wave breaking (e.g., wave dissipation and energy transfers; mean water levels and currents; and wave runup). In this study we assess the ability of the mesh-free, Lagrangian particle-based numerical modelling approach Smoothed Particle Hydrodynamics (SPH) based on DualSPHysics, to simulate the fine-scale hydrodynamic processes driven by irregular wave transformation over a&nbsp;fringing reef&nbsp;profile, by comparing results against detailed experimental observations from a physical modelling study. To greatly improve the computational efficiency, the SPH model was coupled to the mesh-based multi-layer nonhydrostatic wave-flow model SWASH. With this coupled approach, SWASH was used to efficiently simulate the evolution of non-breaking waves from the wavemaker up to the fore reef slope, with the SPH model then used to simulate the detailed hydrodynamic processes over the reef from just offshore of the breakpoint to the&nbsp;</span>shoreline<span>. The SPH model was able to accurately reproduce the complex free surface deformations during plunging breaking, the spectral evolution of waves across the reef flat (including&nbsp;nonlinear wave&nbsp;shape), the mean water levels and currents, and&nbsp;wave runup&nbsp;at the shoreline. Using the long duration simulations (&gt;400 wave periods), the model was able to reproduce the full range of wave motions over the reef (from sea-swell to infragravity frequencies), including the increasing dominance of low frequency waves towards the shoreline and the large cross-reef standing wave motions excited by the reef geometry.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ocemod.2022.101945","usgsCitation":"Lowe, R.J., Altomare, C., Buckley, M.L., da Silva, R.F., Hansen, J.E., Rijnsdorp, D.P., Dominguez, J., and Crespo, A., 2022, Smoothed Particle Hydrodynamics simulations of reef surf zone processes driven by plunging irregular waves: Ocean Modelling, v. 171, 101945, 20 p., https://doi.org/10.1016/j.ocemod.2022.101945.","productDescription":"101945, 20 p.","ipdsId":"IP-131129","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":448813,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2117/387691","text":"External Repository"},{"id":398535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"171","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lowe, Ryan J.","contributorId":152265,"corporation":false,"usgs":false,"family":"Lowe","given":"Ryan","email":"","middleInitial":"J.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":840332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Altomare, C.","contributorId":290134,"corporation":false,"usgs":false,"family":"Altomare","given":"C.","email":"","affiliations":[{"id":62343,"text":"Universitat Politecnica de Catalunya - BarcelonaTech (UPC)","active":true,"usgs":false}],"preferred":false,"id":840333,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buckley, Mark L. 0000-0002-1909-4831","orcid":"https://orcid.org/0000-0002-1909-4831","contributorId":203481,"corporation":false,"usgs":true,"family":"Buckley","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":840334,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"da Silva, Renan F.","contributorId":261462,"corporation":false,"usgs":false,"family":"da Silva","given":"Renan","email":"","middleInitial":"F.","affiliations":[{"id":24588,"text":"The University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":840335,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansen, Jeff E.","contributorId":204340,"corporation":false,"usgs":false,"family":"Hansen","given":"Jeff","email":"","middleInitial":"E.","affiliations":[{"id":24588,"text":"The University of Western Australia","active":true,"usgs":false}],"preferred":true,"id":840336,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rijnsdorp, Dirk P.","contributorId":261463,"corporation":false,"usgs":false,"family":"Rijnsdorp","given":"Dirk","email":"","middleInitial":"P.","affiliations":[{"id":17614,"text":"Delft University of Technology","active":true,"usgs":false}],"preferred":false,"id":840337,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dominguez, J.M.","contributorId":290135,"corporation":false,"usgs":false,"family":"Dominguez","given":"J.M.","email":"","affiliations":[{"id":62345,"text":"Universidade de Vigo","active":true,"usgs":false}],"preferred":false,"id":840338,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Crespo, A.J.C.","contributorId":290136,"corporation":false,"usgs":false,"family":"Crespo","given":"A.J.C.","email":"","affiliations":[{"id":62345,"text":"Universidade de Vigo","active":true,"usgs":false}],"preferred":false,"id":840339,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70248454,"text":"70248454 - 2022 - Observation-constrained multicycle dynamic models of the southern San Andreas and the northern San Jacinto Faults: Addressing complexity in paleoearthquake extent and recurrence with realistic 2D fault geometry","interactions":[],"lastModifiedDate":"2023-09-14T13:37:15.595869","indexId":"70248454","displayToPublicDate":"2022-02-13T08:31:50","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7501,"text":"JGR Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Observation-constrained multicycle dynamic models of the southern San Andreas and the northern San Jacinto Faults: Addressing complexity in paleoearthquake extent and recurrence with realistic 2D fault geometry","docAbstract":"<p><span>Understanding mechanical conditions that lead to complexity in earthquakes is important to seismic hazard analysis. In this study, we simulate physics-based multicycle dynamic models of the San Andreas fault (Carrizo through San Bernardino sections) and the San Jacinto fault (Claremont and Clark strands). We focus on a complex fault geometry based on the Southern California Earthquake Center Community Fault Model and its effect over multiple earthquake cycles. Using geodetically derived strain rates, we validate the models against geologic slip rates and recurrence intervals at various paleoseismic sites. We find that the interactions among fault geometry, dynamic rupture and interseismic stress accumulation produce stress heterogeneities, leading to rupture segmentation and variability in earthquake recurrence. Our models produce earthquakes with rupture extents similar to a recent comprehensive paleoseismic catalog. The “earthquake gates” of the Big Bend and the Cajon Pass occasionally impede dynamic ruptures. The angle of compression, which is the subtraction of the maximum shear strain rate direction from the local fault strike, can better determine the likelihood of the impedance of restraining bends to dynamic ruptures. Because the Big Bend has an angle of compression of ∼20°, ruptures that traverse the Big Bend, like the 1857 Fort Tejon earthquake, are more frequent than expected based on empirical relations which predict the ∼40° restraining bend to terminate most ruptures. Our models indicate that large ruptures tend to initiate north of the Big Bend and propagate southwards, similar to the 1857 earthquake, providing critical information for ground shaking assessment in the region.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021JB023420","usgsCitation":"Liu, D., Duan, B., Scharer, K., and Yule, D., 2022, Observation-constrained multicycle dynamic models of the southern San Andreas and the northern San Jacinto Faults: Addressing complexity in paleoearthquake extent and recurrence with realistic 2D fault geometry: JGR Solid Earth, v. 127, no. 2, e2021JB023420, 22 p., https://doi.org/10.1029/2021JB023420.","productDescription":"e2021JB023420, 22 p.","ipdsId":"IP-134346","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":420787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Andreas fault, San Jacinto fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.44325960160413,\n              32.16342572407258\n            ],\n            [\n              -114.94694055365994,\n              32.602203651593555\n            ],\n            [\n              -115.68298832504138,\n              34.35705299301095\n            ],\n            [\n              -118.23123450540402,\n              36.17004671558314\n            ],\n            [\n              -122.64022454058095,\n              36.13834876313085\n            ],\n            [\n              -121.86568529506617,\n              34.953691891088454\n            ],\n            [\n              -121.34563225647895,\n              34.47252679102584\n            ],\n            [\n              -121.17142222603147,\n              34.2697526624934\n            ],\n            [\n              -121.02235509801822,\n              34.13587207276275\n            ],\n            [\n              -120.6666703621019,\n              33.96832043218005\n            ],\n            [\n              -120.60479015432749,\n              33.80728338539414\n            ],\n            [\n              -120.54293930018164,\n              33.558510586072956\n            ],\n            [\n              -120.24885318454707,\n              33.2222811389733\n            ],\n            [\n              -119.79867764478334,\n              32.6389190231105\n            ],\n            [\n              -119.44325960160413,\n              32.16342572407258\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"127","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-02-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Liu, Dunyu","contributorId":204607,"corporation":false,"usgs":false,"family":"Liu","given":"Dunyu","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":882975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duan, Benchuan","contributorId":329691,"corporation":false,"usgs":false,"family":"Duan","given":"Benchuan","email":"","affiliations":[{"id":78687,"text":"TAMU","active":true,"usgs":false}],"preferred":false,"id":882976,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scharer, Katherine M. 0000-0003-2811-2496","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":217361,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":882977,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yule, Doug","contributorId":239568,"corporation":false,"usgs":false,"family":"Yule","given":"Doug","email":"","affiliations":[{"id":36305,"text":"CSU Northridge","active":true,"usgs":false}],"preferred":false,"id":882978,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70247284,"text":"70247284 - 2022 - Trends in volcano seismology: 2010 to 2020 and beyond","interactions":[],"lastModifiedDate":"2023-07-26T13:36:17.77978","indexId":"70247284","displayToPublicDate":"2022-02-12T08:33:24","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Trends in volcano seismology: 2010 to 2020 and beyond","docAbstract":"<p><span>Volcano seismology has been fundamental to our current understanding of crustal magma migration and eruption. The increasing availability of portable seismic networks with the creative use of seismic sources and ambient noise has led to a better understanding of the volcanic structure of many volcanoes and is producing increasingly detailed images of the volcanic subsurface. The past decade&nbsp;(2010-2020) has seen advances in our understanding of seismic sources under and surrounding volcanoes through precise locations, and through analysis of source mechanisms from seismic signals that are more varied and smaller in magnitude, reaching beyond traditional techniques. In tandem with continued research on fundamental physics-based understanding of volcano-seismic sources, new advances in computational analyses including machine learning methods will push our understanding of volcanic processes into the future. Incorporation of multidisciplinary geophysical observations (especially infrasound) has become commonplace, and our understanding of infrasound propagation and sources will feed back into our ability to monitor ongoing eruptions and surficial mass movements. Open-source codes will permit widespread evaluation and adoption of new methodologies for volcano-seismic analysis and inversion. Combined with quantitative and conceptual source models using improved structural constraints, these new methodologies will better characterize the range of volcano-seismic signal evolution scenarios and hold promise for creating better short-term forecasts. Finally, permanent instrumentation is available on an expanding range of volcanoes, and open data policies are increasingly making these data available to the scientific community in near real time.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00445-022-01530-2","usgsCitation":"Thelen, W., Matoza, R., and Hotovec-Ellis, A.J., 2022, Trends in volcano seismology: 2010 to 2020 and beyond: Bulletin of Volcanology, v. 84, 26, 10 p., https://doi.org/10.1007/s00445-022-01530-2.","productDescription":"26, 10 p.","ipdsId":"IP-133090","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467200,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/94s4g2sc","text":"External Repository"},{"id":419345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","noUsgsAuthors":false,"publicationDate":"2022-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Thelen, Weston 0000-0003-2534-5577","orcid":"https://orcid.org/0000-0003-2534-5577","contributorId":215530,"corporation":false,"usgs":true,"family":"Thelen","given":"Weston","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":879113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matoza, Robin","contributorId":268788,"corporation":false,"usgs":false,"family":"Matoza","given":"Robin","affiliations":[{"id":7168,"text":"UCSB","active":true,"usgs":false}],"preferred":false,"id":879114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hotovec-Ellis, Alicia J. 0000-0003-1917-0205","orcid":"https://orcid.org/0000-0003-1917-0205","contributorId":211785,"corporation":false,"usgs":true,"family":"Hotovec-Ellis","given":"Alicia","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":879115,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228474,"text":"70228474 - 2022 - Epidemiological differences between sexes affect management efficacy in simulated chronic wasting disease systems","interactions":[],"lastModifiedDate":"2022-04-11T16:55:29.843688","indexId":"70228474","displayToPublicDate":"2022-02-11T10:42:35","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Epidemiological differences between sexes affect management efficacy in simulated chronic wasting disease systems","docAbstract":"<ol class=\"\"><li>Sex-based differences in physiology, behaviour and demography commonly result in differences in disease prevalence. However, sex differences in prevalence may reflect exposure rather than transmission, which could affect disease control programmes. One potential example is chronic wasting disease (CWD), which has been observed at greater prevalence among male than female deer.</li><li>We used an age- and sex-structured simulation model to explore harvest-based management of CWD under three different transmission scenarios that all generate higher male prevalence: (1) increased male susceptibility, (2) high male-to-male transmission or (3) high female-to-male transmission.</li><li>Both female and male harvests were required to limit CWD epidemics across all transmission scenarios (approximated by<span>&nbsp;</span><i>R</i><sub>0</sub>), though invasion was more likely under high female-to-male transmission.</li><li>In simulations, heavily male-biased harvests controlled CWD epidemics and maintained large host populations under high male-to-male transmission and increased male susceptibility scenarios. However, male-biased harvests were ineffective under high female-to-male transmission. Instead, female-biased harvests were able to limit disease transmission under high female-to-male transmission but incurred a trade-off with smaller population sizes.</li><li><i>Synthesis and applications</i>. Higher disease prevalence in a sex or age group may be due to higher exposure or susceptibility but does not necessarily indicate if that group is responsible for more disease transmission. We showed that multiple processes can result in the pattern of higher male prevalence, but that population-level management interventions must focus on the sex responsible for disease transmission, not just those that are most exposed.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.14125","usgsCitation":"Rogers, W.J., Brandell, E.E., and Cross, P., 2022, Epidemiological differences between sexes affect management efficacy in simulated chronic wasting disease systems: Journal of Applied Ecology, v. 59, no. 4, p. 1122-1133, https://doi.org/10.1111/1365-2664.14125.","productDescription":"12 p.","startPage":"1122","endPage":"1133","ipdsId":"IP-123579","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":448823,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.14125","text":"Publisher Index Page"},{"id":395849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-02-09","publicationStatus":"PW","contributors":{"editors":[{"text":"McCallum, Hamish","contributorId":174852,"corporation":false,"usgs":false,"family":"McCallum","given":"Hamish","affiliations":[],"preferred":false,"id":834513,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Rogers, William J.","contributorId":173588,"corporation":false,"usgs":false,"family":"Rogers","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":834384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandell, Ellen E.","contributorId":253140,"corporation":false,"usgs":false,"family":"Brandell","given":"Ellen","email":"","middleInitial":"E.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":834385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cross, Paul C. 0000-0001-8045-5213","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":204814,"corporation":false,"usgs":true,"family":"Cross","given":"Paul C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":834386,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228487,"text":"70228487 - 2022 - Population structure, intergroup interaction, and human contact govern infectious disease impacts in mountain gorilla populations","interactions":[],"lastModifiedDate":"2022-06-16T15:14:55.320322","indexId":"70228487","displayToPublicDate":"2022-02-11T10:16:40","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":731,"text":"American Journal of Primatology","active":true,"publicationSubtype":{"id":10}},"title":"Population structure, intergroup interaction, and human contact govern infectious disease impacts in mountain gorilla populations","docAbstract":"<p>Infectious zoonotic diseases are a threat to wildlife conservation and global health. They are especially a concern for wild apes, which are vulnerable to many human infectious diseases. As ecotourism, deforestation, and great ape field research increase, the threat of human-sourced infections to wild populations becomes more substantial and could result in devastating population declines. The endangered mountain gorillas (<i>Gorilla beringei beringei</i>) of the Virunga Massif in east-central Africa suffer periodic disease outbreaks and are exposed to infections from human-sourced pathogens. It is important to understand the possible risks of disease introduction and spread in this population and how human contact may facilitate disease transmission. Here we present and evaluate an individual-based, stochastic, discrete-time disease transmission model to predict epidemic outcomes and better understand health risks to the Virunga mountain gorilla population. To model disease transmission we have derived estimates for gorilla contact, interaction, and migration rates. The model shows that the social structure of gorilla populations plays a profound role in governing disease impacts with subdivided populations experiencing less than 25% of the outbreak levels of a single homogeneous population. It predicts that gorilla group dispersal and limited group interactions are strong factors in preventing widespread population-level outbreaks of infectious disease after such diseases have been introduced into the population. However, even a moderate amount of human contact increases disease spread and can lead to population-level outbreaks.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ajp.23350","usgsCitation":"Whittier, C.A., Nutter, F.B., Johnson, P.L., Cross, P., Lloyd-Smith, J., Slenning, B.D., and Stoskopf, M.K., 2022, Population structure, intergroup interaction, and human contact govern infectious disease impacts in mountain gorilla populations: American Journal of Primatology, v. 84, no. 4-5, e23350, https://doi.org/10.1002/ajp.23350.","productDescription":"e23350","ipdsId":"IP-127784","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":395847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Democratic Republic of the Congo, Rwanda, Uganda","otherGeospatial":"Virunga Massif","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              29.344482421875,\n              -1.9881263049374718\n            ],\n            [\n              29.344482421875,\n              -2.05949288957668\n            ],\n            [\n              29.476318359375004,\n              -2.070472083193089\n            ],\n            [\n              29.652099609375,\n              -1.9881263049374718\n            ],\n            [\n              29.756469726562496,\n              -1.6312493057881732\n            ],\n            [\n              29.838867187500004,\n              -1.4610232806227417\n            ],\n            [\n              30.036621093749996,\n              -1.2413579498795597\n            ],\n            [\n              29.9761962890625,\n              -1.0491357039128182\n            ],\n            [\n              29.822387695312496,\n              -0.8953492997435784\n            ],\n            [\n              29.652099609375,\n              -0.7909904981540058\n            ],\n            [\n              29.7344970703125,\n              -0.6426867176331666\n            ],\n            [\n              29.8828125,\n              -0.6646579437921112\n            ],\n            [\n              29.94873046875,\n              -0.5932511181408705\n            ],\n            [\n              30.113525390625,\n              -0.23620538561262966\n            ],\n            [\n              30.2288818359375,\n              -0.21423289925022543\n            ],\n            [\n              30.333251953124996,\n              0\n            ],\n            [\n              30.3387451171875,\n              0.23071226715249907\n            ],\n            [\n              30.173950195312504,\n              0.2966295342722323\n            ],\n            [\n              30.201416015625004,\n              0.45592780548689615\n            ],\n            [\n              30.316772460937496,\n              0.7250783020332547\n            ],\n            [\n              30.421142578125,\n              0.8239462091017685\n            ],\n            [\n              30.5694580078125,\n              0.9228116626857066\n            ],\n            [\n              30.5694580078125,\n              1.016182073033441\n            ],\n            [\n              30.454101562499996,\n              1.2248822742251262\n            ],\n            [\n              30.245361328125,\n              1.2413579498795726\n            ],\n            [\n              30.0860595703125,\n              0.9832281059656174\n            ],\n            [\n              29.871826171875,\n              1.043643455908483\n            ],\n            [\n              29.432373046874996,\n              0.6591651462894632\n            ],\n            [\n              29.3499755859375,\n              0.428462803418747\n            ],\n            [\n              29.344482421875,\n              -0.07141111432402265\n            ],\n            [\n              29.190673828124996,\n              -0.41198375451568836\n            ],\n            [\n              29.1192626953125,\n              -0.8239462091017558\n            ],\n            [\n              29.20166015625,\n              -1.1425024037061522\n            ],\n            [\n              28.992919921875004,\n              -1.307259612275665\n            ],\n            [\n              28.992919921875004,\n              -1.5763391859789206\n            ],\n            [\n              29.218139648437496,\n              -1.6861579269987852\n            ],\n            [\n              29.262084960937504,\n              -1.8728353512547717\n            ],\n            [\n              29.344482421875,\n              -1.9881263049374718\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"84","issue":"4-5","noUsgsAuthors":false,"publicationDate":"2021-12-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Whittier, Christopher A. 0000-0001-9626-6513","orcid":"https://orcid.org/0000-0001-9626-6513","contributorId":275919,"corporation":false,"usgs":false,"family":"Whittier","given":"Christopher","email":"","middleInitial":"A.","affiliations":[{"id":6936,"text":"Tufts University","active":true,"usgs":false}],"preferred":false,"id":834410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nutter, Felicia B.","contributorId":8070,"corporation":false,"usgs":false,"family":"Nutter","given":"Felicia","email":"","middleInitial":"B.","affiliations":[{"id":6936,"text":"Tufts University","active":true,"usgs":false}],"preferred":false,"id":834411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Philip L. F. 0000-0001-6087-7064","orcid":"https://orcid.org/0000-0001-6087-7064","contributorId":275920,"corporation":false,"usgs":false,"family":"Johnson","given":"Philip","email":"","middleInitial":"L. F.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":834412,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cross, Paul C. 0000-0001-8045-5213","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":204814,"corporation":false,"usgs":true,"family":"Cross","given":"Paul C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":834413,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lloyd-Smith, James O.","contributorId":31354,"corporation":false,"usgs":true,"family":"Lloyd-Smith","given":"James O.","affiliations":[],"preferred":false,"id":834414,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Slenning, Barrett D.","contributorId":275924,"corporation":false,"usgs":false,"family":"Slenning","given":"Barrett","email":"","middleInitial":"D.","affiliations":[{"id":49830,"text":"North Carolina University","active":true,"usgs":false}],"preferred":false,"id":834415,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stoskopf, Michael K.","contributorId":83817,"corporation":false,"usgs":true,"family":"Stoskopf","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":834416,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70232514,"text":"70232514 - 2022 - Variation in foraging patterns as reflected by floral resources used by male vs female bees of selected species at Badlands National Park, SD","interactions":[],"lastModifiedDate":"2022-07-06T14:51:56.176386","indexId":"70232514","displayToPublicDate":"2022-02-11T09:45:05","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5819,"text":"Arthropod-Plant Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Variation in foraging patterns as reflected by floral resources used by male vs female bees of selected species at Badlands National Park, SD","docAbstract":"Female and male bees forage for different reasons: females provision nests with pollen appropriate for larval development and consume nectar for energy while males need only fuel their own energetic requirements.  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":70228449,"text":"sir20215118B - 2022 - Yucaipa valley integrated hydrological model","interactions":[{"subject":{"id":70228449,"text":"sir20215118B - 2022 - Yucaipa valley integrated hydrological model","indexId":"sir20215118B","publicationYear":"2022","noYear":false,"chapter":"B","displayTitle":"Yucaipa Valley Integrated Hydrological Model","title":"Yucaipa valley integrated hydrological model"},"predicate":"IS_PART_OF","object":{"id":70227651,"text":"sir20215118 - 2022 - Hydrology of the Yucaipa groundwater subbasin: Characterization and integrated numerical model, San Bernardino and Riverside Counties, California","indexId":"sir20215118","publicationYear":"2022","noYear":false,"title":"Hydrology of the Yucaipa groundwater subbasin: Characterization and integrated numerical model, San Bernardino and Riverside Counties, California"},"id":1}],"isPartOf":{"id":70227651,"text":"sir20215118 - 2022 - Hydrology of the Yucaipa groundwater subbasin: Characterization and integrated numerical model, San Bernardino and Riverside Counties, California","indexId":"sir20215118","publicationYear":"2022","noYear":false,"title":"Hydrology of the Yucaipa groundwater subbasin: Characterization and integrated numerical model, San Bernardino and Riverside Counties, California"},"lastModifiedDate":"2022-02-10T20:43:51.187857","indexId":"sir20215118B","displayToPublicDate":"2022-02-10T12:43:40","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5118","chapter":"B","displayTitle":"Yucaipa Valley Integrated Hydrological Model","title":"Yucaipa valley integrated hydrological model","docAbstract":"<h1>Introduction</h1><p>The hydrologic system in the Yucaipa Valley watershed (YVW) was simulated using the coupled Groundwater and Surface-water FLOW model (GSFLOW; Markstrom and others, 2008). This study uses version 2.0 of GSFLOW, which is a combination of the Precipitation-Runoff Modeling System (PRMS; Markstrom and others, 2015), and the Newton-Raphson formulation of the Modular Groundwater-Flow Model (MODFLOW-NWT; hereafter referred to as MODFLOW; Harbaugh, 2005; Niswonger and others, 2011).</p><p>GSFLOW partitions the hydrologic system into three regions (fig. B1) that are linked by the exchange of unsaturated and saturated groundwater and surface water. The properties and processes within each region influence the flow of both groundwater and surface water into, out of, and within each region. The PRMS component of GSFLOW simulates Region 1, and the MODFLOW component simulates Regions 2 and 3. In the YVW, GSFLOW was applied as the simulation code and is referred to herein as the Yucaipa Integrated Hydrologic Model (YIHM; Alzraiee and others, 2022). In the YIHM, Region 1 includes the plant canopy, snowpack, and the soil zone; Region 2 includes the stream network; and Region 3 includes the subsurface beneath Regions 1 and 2 and consists of both the saturated and unsaturated zones. Soil-moisture conditions and head relations control the flow of both groundwater and surface water between regions. The maximum lateral extents of Regions 1 and 3 were defined using the surface-water drainage divides described in the “Description of Study Area” section of <a data-mce-href=\"https://doi.org/10.3133/sir20215118A\" href=\"https://doi.org/10.3133/sir20215118A\" target=\"_blank\" rel=\"noopener\" title=\"SIR 2021-5118 Chapter A: Hydrogeologic Characterization of the Yucaipa Groundwater Subbasin\">chapter A</a> of this report. The boundaries for Region 2 are the lowest elevation of the streambeds, the stream channel widths, and the horizontal extent of the stream channels in the YVW. Flow across the unsaturated part of Region 3 is assumed to be vertical and does not cross the lateral boundary.</p><p>To simulate hydrologic processes occurring within the YVW using GSFLOW, a model domain was defined to match the surface watershed such that the domain includes each surficial hydrologic unit coinciding (at least partially) with the Yucaipa groundwater subbasin (hereafter referred to as “Yucaipa subbasin”) as defined in California Bulletin 118 (California Department of Water Resources, 2016). The resulting simulated domain (fig. B2) includes the Yucaipa subbasin and intersects partially with parts of the San Bernardino and San Timoteo groundwater subbasins (fig. B2). The area of the active model domain in YIHM is about 121 square miles (mi2). The developed YIHM can be used to improve understanding of the hydrologic processes in YVW and to simulate future management scenarios with different climatic and anthropogenic changes.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215118B","collaboration":"Prepared in cooperation with San Bernardino Valley Municipal Water District","usgsCitation":"Alzraiee, A.H., Engott, J.A., Cromwell, G., and Woolfenden, L., 2022, Yucaipa valley integrated hydrological model, chap. B <i>in</i> Cromwell, G., and Alzraiee, A.H., eds., Hydrology of the Yucaipa groundwater subbasin—Characterization and integrated numerical model, San Bernardino and Riverside Counties, California: U.S. Geological Survey Scientific Investigations Report 2021–5118-B, 76 p., https://doi.org/10.3133/sir20215118B.","productDescription":"Report: ix, 76 p., and data release","numberOfPages":"76","onlineOnly":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":395797,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5118/sir20215118b.pdf","text":"Report","size":"15 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":395800,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20215118A","text":"SIR 2021-5118 Chapter A","linkHelpText":"- Hydrogeologic Characterization of the Yucaipa Groundwater Subbasin"},{"id":395798,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5118/sir20215118b.xml"},{"id":395799,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5118/images"},{"id":395795,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5118/covrthbb.jpg"},{"id":395809,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K540DV","description":"Alzraiee, A.H., Engott, J.A., Cromwell, G., and Woolfenden, L., 2022, Yucaipa valley integrated hydrological model,  chap. B in Cromwell, G., and Alzraiee, A.H., eds., Hydrology of the Yucaipa groundwater subbasin—Characterization  and integrated numerical model, San Bernardino and Riverside Counties, California: U.S. Geological Survey Scientific  Investigations Report 2021–5118-B, 76 p., https://doi.org/10.3133/sir20215118B."}],"contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,<br><a href=\"https://ca.water.usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a><br><a href=\"https://usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Model Discretization&nbsp;&nbsp;</li><li>Initial Conditions&nbsp;&nbsp;</li><li>Precipitation-Runoff Modeling System Model Description&nbsp;&nbsp;</li><li>MODFLOW Model Description&nbsp;&nbsp;</li><li>Integration of Precipitation-Runoff Modeling System and MODFLOW&nbsp;&nbsp;</li><li>Integrated Model Calibration&nbsp;&nbsp;</li><li>Calibration Results&nbsp;&nbsp;</li><li>Simulated Hydrologic Budget&nbsp;&nbsp;</li><li>Model Limitations&nbsp;&nbsp;</li><li>Summary and Conclusions&nbsp;&nbsp;</li><li>References Cited&nbsp;&nbsp;</li><li>Appendix B1. Calibration Using Ensemble Smoother&nbsp;&nbsp;</li><li>Appendix B2. Evaluation of Streamflow Data Quality and Calibration Goodness-of-Fit</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2022-02-10","noUsgsAuthors":false,"publicationDate":"2022-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Alzraiee, Ayman H. 0000-0001-7576-3449","orcid":"https://orcid.org/0000-0001-7576-3449","contributorId":272120,"corporation":false,"usgs":true,"family":"Alzraiee","given":"Ayman","email":"","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":834325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engott, John A. 0000-0003-1889-4519 jaengott@usgs.gov","orcid":"https://orcid.org/0000-0003-1889-4519","contributorId":1142,"corporation":false,"usgs":true,"family":"Engott","given":"John","email":"jaengott@usgs.gov","middleInitial":"A.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":834326,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cromwell, Geoffrey 0000-0001-8481-405X gcromwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8481-405X","contributorId":5920,"corporation":false,"usgs":true,"family":"Cromwell","given":"Geoffrey","email":"gcromwell@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":834327,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woolfenden, Linda R. 0000-0003-3500-4709 lrwoolfe@usgs.gov","orcid":"https://orcid.org/0000-0003-3500-4709","contributorId":1476,"corporation":false,"usgs":true,"family":"Woolfenden","given":"Linda","email":"lrwoolfe@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":834328,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70228448,"text":"sir20215118A - 2022 - Hydrogeologic characterization of the Yucaipa groundwater subbasin","interactions":[{"subject":{"id":70228448,"text":"sir20215118A - 2022 - Hydrogeologic characterization of the Yucaipa groundwater subbasin","indexId":"sir20215118A","publicationYear":"2022","noYear":false,"chapter":"A","displayTitle":"Hydrogeologic Characterization of the Yucaipa  Groundwater Subbasin","title":"Hydrogeologic characterization of the Yucaipa groundwater subbasin"},"predicate":"IS_PART_OF","object":{"id":70227651,"text":"sir20215118 - 2022 - Hydrology of the Yucaipa groundwater subbasin: Characterization and integrated numerical model, San Bernardino and Riverside Counties, California","indexId":"sir20215118","publicationYear":"2022","noYear":false,"title":"Hydrology of the Yucaipa groundwater subbasin: Characterization and integrated numerical model, San Bernardino and Riverside Counties, California"},"id":1}],"isPartOf":{"id":70227651,"text":"sir20215118 - 2022 - Hydrology of the Yucaipa groundwater subbasin: Characterization and integrated numerical model, San Bernardino and Riverside Counties, California","indexId":"sir20215118","publicationYear":"2022","noYear":false,"title":"Hydrology of the Yucaipa groundwater subbasin: Characterization and integrated numerical model, San Bernardino and Riverside Counties, California"},"lastModifiedDate":"2022-02-11T16:50:35.030326","indexId":"sir20215118A","displayToPublicDate":"2022-02-10T10:29:06","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5118","chapter":"A","displayTitle":"Hydrogeologic Characterization of the Yucaipa  Groundwater Subbasin","title":"Hydrogeologic characterization of the Yucaipa groundwater subbasin","docAbstract":"<h1>Introduction</h1><p>Water management in the Santa Ana River watershed in San Bernardino and Riverside Counties in southern California (fig. A1) is complex with various water purveyors navigating geographic, geologic, hydrologic, and political challenges to provide a reliable water supply to stakeholders. As the population has increased throughout southern California, so has the demand for water. The Yucaipa groundwater subbasin (hereafter referred to as “Yucaipa subbasin”), one of nine groundwater subbasins in what the California Department of Water Resources (DWR) refers to as the Upper Santa Ana Valley groundwater basin (California Department of Water Resources, 2016; fig. A1; the DWR naming convention is used within this report), is no exception; steady population growth since the 1940s and changes in water use have forced local water purveyors to regularly adapt their water infrastructure. Water demands within the Yucaipa subbasin have historically been supplied by groundwater, but water imported via the California State Water Project has augmented the total water supply through direct use and through anthropogenic recharge at the Wilson Creek and Oak Glen Creek spreading basins since 2002. Overall demand for groundwater continues to rise, and local water managers are concerned that despite the influx of imported water, groundwater levels may decline to a point where producing water will be uneconomical, severely limiting the ability of local agencies to meet water-supply demand.</p><p>To better understand the hydrogeology and water resources in the Yucaipa subbasin, the U.S. Geological Survey (USGS) initiated a study in cooperation with the San Bernardino Valley Municipal Water District (SBVMWD) to characterize and model the hydrologic system of the Yucaipa subbasin and the surrounding Yucaipa Valley watershed (YVW; fig. A2). To gain this comprehensive understanding, a three-dimensional (3D) hydrogeologic framework model (HFM; Cromwell and Matti, 2022) was constructed to quantify the structure and extent of hydrogeologic units in the YVW; the hydrologic system was conceptualized and quantified (described in chapter A); and the Yucaipa Integrated Hydrological Model (YIHM; described in <a data-mce-href=\"https://doi.org/10.3133/sir20215118B\" href=\"https://doi.org/10.3133/sir20215118B\" target=\"_blank\" rel=\"noopener\" title=\"SIR 2021-5111 Chapter B: Yucaipa valley integrated hydrological model\">chapter B</a>) was developed to simulate the integrated surface-water and aquifer systems, including natural and anthropogenic recharge and discharge throughout the study area during 1947–2014.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215118A","collaboration":"Prepared in cooperation with San Bernardino Valley Municipal Water District","usgsCitation":"Cromwell, G., Engott, J.A., Alzraiee, A.H., Stamos, C.L., Mendez, G.O., Dick, M.C., and Bond, S., 2022, Hydrogeologic characterization of the Yucaipa groundwater subbasin, chap. A <i>in</i> Cromwell, G., and Alzraiee, A.H., eds., Hydrology of the Yucaipa groundwater subbasin—Characterization and integrated numerical model, San Bernardino and Riverside Counties, California: U.S. Geological Survey Scientific Investigations Report 2021–5118–A, 81 p., https://doi.org/10.3133/sir20215118A.","productDescription":"Report: vii, 81 p., and data release","numberOfPages":"81","onlineOnly":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":395793,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F7OYQR","description":"Cromwell, G., Matti, J.C., and Roberts, S.A., 2022, Data release of hydrogeologic data of the Yucaipa groundwater subbasin, San Bernardino and Riverside Counties, California: U.S. Geological Survey Sciencebase data release, https://doi.org/ 10.5066/ P9F7OYQR.","linkHelpText":"Data release of hydrogeologic data of the Yucaipa groundwater subbasin, San Bernardino and Riverside Counties, California"},{"id":395789,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5118/covrthba.jpg"},{"id":395790,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5118/sir20215118a.pdf","text":"Report","size":"60 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":395791,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5118/sir20215118a.xml"},{"id":395792,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5118/images"},{"id":395794,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20215118B","text":"SIR 2021-5118 Chapter B","linkHelpText":"- Yucaipa valley integrated hydrological model"}],"contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,<br><a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<div id=\":1ck\" class=\"Ar Au Ao\"><div id=\":1cg\" class=\"Am Al editable LW-avf tS-tW tS-tY\" role=\"textbox\" contenteditable=\"true\" spellcheck=\"false\" aria-label=\"Message Body\" aria-multiline=\"true\" aria-owns=\":1fb\" aria-controls=\":1fb\" data-mce-tabindex=\"1\"><ul><li>Introduction&nbsp;</li><li>Hydrogeology&nbsp;</li><li>Water Budget&nbsp;</li><li>Groundwater Levels, Flow, and Movement&nbsp;</li><li>Hydrologic Flow Barriers&nbsp;</li><li>Water Chemistry&nbsp;</li><li>Summary&nbsp;</li><li>References Cited&nbsp;</li><li>Appendix A1. Tables</li></ul></div></div>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2022-02-10","noUsgsAuthors":false,"publicationDate":"2022-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Cromwell, Geoffrey 0000-0001-8481-405X gcromwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8481-405X","contributorId":5920,"corporation":false,"usgs":true,"family":"Cromwell","given":"Geoffrey","email":"gcromwell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":834318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engott, John A. 0000-0003-1889-4519 jaengott@usgs.gov","orcid":"https://orcid.org/0000-0003-1889-4519","contributorId":1142,"corporation":false,"usgs":true,"family":"Engott","given":"John","email":"jaengott@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":834319,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alzraiee, Ayman H. 0000-0001-7576-3449","orcid":"https://orcid.org/0000-0001-7576-3449","contributorId":272120,"corporation":false,"usgs":true,"family":"Alzraiee","given":"Ayman","email":"","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":834320,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stamos-Pfeiffer, Christina 0000-0002-1007-9352 clstamos@usgs.gov","orcid":"https://orcid.org/0000-0002-1007-9352","contributorId":169089,"corporation":false,"usgs":true,"family":"Stamos-Pfeiffer","given":"Christina","email":"clstamos@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":834321,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mendez, Gregory 0000-0002-9955-3726 gomendez@usgs.gov","orcid":"https://orcid.org/0000-0002-9955-3726","contributorId":139098,"corporation":false,"usgs":true,"family":"Mendez","given":"Gregory","email":"gomendez@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":834322,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dick, Meghan C. 0000-0002-8323-3787 mdick@usgs.gov","orcid":"https://orcid.org/0000-0002-8323-3787","contributorId":200745,"corporation":false,"usgs":true,"family":"Dick","given":"Meghan","email":"mdick@usgs.gov","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":834323,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bond, Sandra 0000-0003-0522-5287 sbond@usgs.gov","orcid":"https://orcid.org/0000-0003-0522-5287","contributorId":3328,"corporation":false,"usgs":true,"family":"Bond","given":"Sandra","email":"sbond@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":834324,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70228746,"text":"70228746 - 2022 - A novel approach for directly incorporating disease into fish stock assessment: A case study with seroprevalence data","interactions":[],"lastModifiedDate":"2022-03-28T16:49:12.186131","indexId":"70228746","displayToPublicDate":"2022-02-10T06:49:31","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"A novel approach for directly incorporating disease into fish stock assessment: A case study with seroprevalence data","docAbstract":"<div>When estimating mortality from disease with fish population models, common disease surveillance data such as infection prevalence are not always informative, especially for fast-acting diseases that may go unobserved in infrequently sampled populations. In these cases, seroprevalence&nbsp;— the proportion of fish with measurable antibody levels in their blood&nbsp;— may be more informative. In cases of life-long immunity, seroprevalence data require less frequent sampling intervals than infection prevalence data and can reflect the cumulative exposure history of fish. We simulation tested the usefulness of seroprevalence data in an age-structured fish stock assessment model using viral hemorrhagic septicemia virus (VHSV) in Pacific herring (<i>Clupea pallasii</i>) as a case study. We developed a novel epidemiological model to simulate population dynamics and seroprevalence data and fitted to these data in an integrated catch-at-age model with equations that estimate age- and time-varying mortality from disease. We found that simulated seroprevalence data can provide accurate estimates of infection history and disease-associated mortality. Importantly, even models that misspecified nonstationary processes in background or disease-associated mortality, but included seroprevalence data, accurately estimated annual infection and population abundance.</div>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2021-0094","usgsCitation":"Trochta, J.T., Groner, M., Hershberger, P., and Branch, T., 2022, A novel approach for directly incorporating disease into fish stock assessment: A case study with seroprevalence data: Canadian Journal of Fisheries and Aquatic Sciences, v. 79, no. 4, p. 611-630, https://doi.org/10.1139/cjfas-2021-0094.","productDescription":"20 p.","startPage":"611","endPage":"630","ipdsId":"IP-129096","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":448840,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2021-0094","text":"Publisher Index Page"},{"id":396090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Trochta, John T.","contributorId":279655,"corporation":false,"usgs":false,"family":"Trochta","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":57329,"text":"School of Aquatic and Fishery Sciences, Box 355020, University of Washington, Seattle WA, 98195, USA","active":true,"usgs":false}],"preferred":false,"id":835274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Groner, Maya 0000-0002-3381-6415","orcid":"https://orcid.org/0000-0002-3381-6415","contributorId":220169,"corporation":false,"usgs":true,"family":"Groner","given":"Maya","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":835275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hershberger, Paul 0000-0002-2261-7760","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":203322,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":835276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Branch, Trevor A.","contributorId":172088,"corporation":false,"usgs":false,"family":"Branch","given":"Trevor A.","affiliations":[],"preferred":false,"id":835277,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70229086,"text":"70229086 - 2022 - Prospective and retrospective evaluation of the U.S. Geological Survey public aftershock forecast for the 2019-2021 Southwest Puerto Rico Earthquake and aftershocks","interactions":[],"lastModifiedDate":"2022-02-28T14:52:31.521726","indexId":"70229086","displayToPublicDate":"2022-02-09T08:47:34","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Prospective and retrospective evaluation of the U.S. Geological Survey public aftershock forecast for the 2019-2021 Southwest Puerto Rico Earthquake and aftershocks","docAbstract":"<p><span>The&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"msub\"><i><span id=\"MathJax-Span-4\" class=\"mi\">M</span></i><sub><span id=\"MathJax-Span-5\" class=\"mi\">w </span></sub></span></span></span></span></span></span><span>6.4 Southwest Puerto Rico Earthquake of 7 January 2020 was accompanied by a robust fore‐ and aftershock sequence. The U.S. Geological Survey (USGS) has issued regular aftershock forecasts for more than a year since the mainshock, available on a public webpage. Forecasts were accompanied by interpretive and informational material, published in English and Spanish. Informational products included narrative “scenarios” for how the aftershock sequence could play out, infographics, and a report on the potential duration of the aftershock sequence through the next decade. Forecasts are based on the epidemic‐type aftershock sequence (ETAS) model and generated using the USGS AftershockForecaster software—an interactive graphical user interface built on the OpenSHA platform (</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf10\">Field<span>&nbsp;</span><i>et&nbsp;al.</i>, 2003</a><span>). The initial forecast is based on past sequences in similar tectonic environments; subsequent forecasts are tuned to the ongoing sequence via Bayesian model updating. Probabilistic aftershock forecasts for the next day, week, month, and year were publicly released and archived at a daily to monthly tempo, allowing for a truly prospective test of the forecast. Here, we evaluate the forecast over the first year of the recorded aftershocks. The ETAS‐based forecast performed well overall, successfully capturing both the chance of having at least one earthquake of a given magnitude in a forecast interval as well as the non‐Poissonian distribution of the total number of aftershocks within an interval. A retrospective analysis shows that the ETAS model is a substantial improvement over the existing&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf38\">Reasenberg and Jones (1989)</a><span>&nbsp;forecast model. The exercise also reveals some limitations of the current model, in particular, with respect to nonstationarities in the aftershock magnitude distribution and model parameters throughout the evolving sequence.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220210222","usgsCitation":"van der Elst, N., Hardebeck, J.L., Michael, A.J., McBride, S., and Vanacore, E., 2022, Prospective and retrospective evaluation of the U.S. Geological Survey public aftershock forecast for the 2019-2021 Southwest Puerto Rico Earthquake and aftershocks: Seismological Research Letters, v. 93, no. 2A, p. 620-640, https://doi.org/10.1785/0220210222.","productDescription":"21 p.","startPage":"620","endPage":"640","ipdsId":"IP-132558","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":396546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -67.22259521484375,\n              17.906875582164254\n            ],\n            [\n              -66.90811157226562,\n              17.906875582164254\n            ],\n            [\n              -66.90811157226562,\n              18.184997171309004\n            ],\n            [\n              -67.22259521484375,\n              18.184997171309004\n            ],\n            [\n              -67.22259521484375,\n              17.906875582164254\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"93","issue":"2A","noUsgsAuthors":false,"publicationDate":"2022-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"van der Elst, Nicholas 0000-0002-3812-1153 nvanderelst@usgs.gov","orcid":"https://orcid.org/0000-0002-3812-1153","contributorId":147858,"corporation":false,"usgs":true,"family":"van der Elst","given":"Nicholas","email":"nvanderelst@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":836441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":254964,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":836442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":836443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McBride, Sara K. 0000-0002-8062-6542","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":206933,"corporation":false,"usgs":true,"family":"McBride","given":"Sara K.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":836444,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vanacore, Elizabeth","contributorId":287037,"corporation":false,"usgs":false,"family":"Vanacore","given":"Elizabeth","affiliations":[{"id":61452,"text":"Univ. of Puerto Rico","active":true,"usgs":false}],"preferred":false,"id":836445,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70228396,"text":"70228396 - 2022 - Multi-species inference of exotic annual and native perennial grasses in rangelands of the western United States using Harmonized Landsat and Sentinel-2 data","interactions":[],"lastModifiedDate":"2022-04-04T11:13:24.753751","indexId":"70228396","displayToPublicDate":"2022-02-09T08:26:22","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Multi-species inference of exotic annual and native perennial grasses in rangelands of the western United States using Harmonized Landsat and Sentinel-2 data","docAbstract":"<p><span>The invasion of exotic annual grass (EAG), e.g., cheatgrass (</span><i><span class=\"html-italic\">Bromus tectorum</span></i><span>) and medusahead (</span><i><span class=\"html-italic\">Taeniatherum caput-medusae</span></i><span>), into rangeland ecosystems of the western United States is a broad-scale problem that affects wildlife habitats, increases wildfire frequency, and adds to land management costs. However, identifying individual species of EAG abundance from remote sensing, particularly at early stages of invasion or growth, can be problematic because of overlapping controls and similar phenological characteristics among native and other exotic vegetation. Subsequently, refining and developing tools capable of quantifying the abundance and phenology of annual and perennial grass species would be beneficial to help inform conservation and management efforts at local to regional scales. Here, we deploy an enhanced version of the U.S. Geological Survey Rangeland Exotic Plant Monitoring System to develop timely and accurate maps of annual (2016–2020) and intra-annual (May 2021 and July 2021) abundances of exotic annual and perennial grass species throughout the rangelands of the western United States. This monitoring system leverages field observations and remote-sensing data with artificial intelligence/machine learning to rapidly produce annual and early season estimates of species abundances at a 30-m spatial resolution. We introduce a fully automated and multi-task deep-learning framework to simultaneously predict and generate weekly, near-seamless composites of Harmonized Landsat Sentinel-2 spectral data. These data, along with auxiliary datasets and time series metrics, are incorporated into an ensemble of independent XGBoost models. This study demonstrates that inclusion of the Normalized Difference Vegetation Index and Normalized Difference Wetness Index time-series data generated from our deep-learning framework enables near real-time and accurate mapping of EAG (Median Absolute Error (MdAE): 3.22, 2.72, and 0.02; and correlation coefficient (r): 0.82, 0.81, and 0.73; respectively for EAG, cheatgrass, and medusahead) and native perennial grass abundance (MdAE: 2.51, r:0.72 for Sandberg bluegrass (</span><i><span class=\"html-italic\">Poa secunda</span></i><span>)). Our approach and the resulting data provide insights into rangeland grass dynamics, which will be useful for applications, such as fire and drought monitoring, habitat suitability mapping, as well as land-cover and land-change modelling. Spatially explicit, timely, and accurate species-specific abundance datasets provide invaluable information to land managers.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs14040807","usgsCitation":"Dahal, D., Pastick, N.J., Boyte, S., Parajuli, S., Oimoen, M.J., and Megard, L.J., 2022, Multi-species inference of exotic annual and native perennial grasses in rangelands of the western United States using Harmonized Landsat and Sentinel-2 data: Remote Sensing, v. 14, no. 4, Article: 807, 21 p. ; 3 Data Releases, https://doi.org/10.3390/rs14040807.","productDescription":"Article: 807, 21 p. ; 3 Data Releases","ipdsId":"IP-135991","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":448849,"rank":6,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs14040807","text":"Publisher Index Page"},{"id":486325,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14VQEGO","text":"USGS data release","linkHelpText":"Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2025"},{"id":435974,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1Y5TZBM","text":"USGS data release","linkHelpText":"Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2024"},{"id":397952,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GC5JVG","text":"USGS data release","description":"USGS data release","linkHelpText":"Fractional Estimates of Multiple Exotic Annual Grass (EAG) Species and Sandberg bluegrass in the Sagebrush Biome, USA, 2016 - 2020"},{"id":397951,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AVGRH8","text":"USGS data release","description":"USGS data release","linkHelpText":"Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, May 2021, v1"},{"id":395764,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":397950,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FG6X9Q","text":"USGS data release","description":"USGS data release","linkHelpText":"Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, July 2021, (ver 2.0, January 2022)"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -101.865234375,\n              30.031055426540206\n            ],\n            [\n              -103.3154296875,\n              32.65787573695528\n            ],\n            [\n              -103.6669921875,\n              34.74161249883172\n            ],\n            [\n              -100.6787109375,\n              36.63316209558658\n            ],\n            [\n              -100.72265625,\n              36.98500309285596\n            ],\n            [\n              -101.29394531249999,\n              37.64903402157866\n            ],\n            [\n              -103.4033203125,\n              39.198205348894795\n            ],\n            [\n              -104.2822265625,\n              40.713955826286046\n            ],\n            [\n              -102.7880859375,\n              43.004647127794435\n            ],\n            [\n              -102.3046875,\n              47.84265762816538\n            ],\n            [\n              -103.53515625,\n              48.980216985374994\n            ],\n            [\n              -121.201171875,\n              49.009050809382046\n            ],\n            [\n              -121.5087890625,\n              46.92025531537451\n            ],\n            [\n              -122.25585937500001,\n              43.96119063892024\n            ],\n            [\n              -122.25585937500001,\n              41.27780646738183\n            ],\n            [\n              -123.662109375,\n              39.605688178320804\n            ],\n            [\n              -124.01367187499999,\n              38.95940879245423\n            ],\n            [\n              -121.86035156249999,\n              36.38591277287651\n            ],\n            [\n              -120.58593749999999,\n              34.70549341022544\n            ],\n            [\n              -120.673828125,\n              33.97980872872457\n            ],\n            [\n              -117.99316406249999,\n              32.91648534731439\n            ],\n            [\n              -117.2900390625,\n              32.69486597787505\n            ],\n            [\n              -114.9609375,\n              32.54681317351514\n            ],\n            [\n              -110.74218749999999,\n              31.27855085894653\n            ],\n            [\n              -108.06152343749999,\n              31.466153715024294\n            ],\n            [\n              -108.06152343749999,\n              31.952162238024975\n            ],\n            [\n              -105.29296874999999,\n              30.977609093348686\n            ],\n            [\n              -104.19433593749999,\n              29.611670115197377\n            ],\n            [\n              -102.919921875,\n              28.998531814051795\n            ],\n            [\n              -101.865234375,\n              30.031055426540206\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Dahal, Devendra 0000-0001-9594-1249","orcid":"https://orcid.org/0000-0001-9594-1249","contributorId":192023,"corporation":false,"usgs":false,"family":"Dahal","given":"Devendra","affiliations":[],"preferred":false,"id":834192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pastick, Neal J. 0000-0002-8169-3018 njpastick@usgs.gov","orcid":"https://orcid.org/0000-0002-8169-3018","contributorId":4785,"corporation":false,"usgs":true,"family":"Pastick","given":"Neal","email":"njpastick@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":834193,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyte, Stephen P. 0000-0002-5462-3225","orcid":"https://orcid.org/0000-0002-5462-3225","contributorId":205374,"corporation":false,"usgs":true,"family":"Boyte","given":"Stephen P.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":834194,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parajuli, Sujan 0000-0002-1652-3063","orcid":"https://orcid.org/0000-0002-1652-3063","contributorId":275653,"corporation":false,"usgs":false,"family":"Parajuli","given":"Sujan","affiliations":[{"id":56871,"text":"KBR Inc. Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":834195,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oimoen, Michael J. 0000-0003-3611-6227","orcid":"https://orcid.org/0000-0003-3611-6227","contributorId":275654,"corporation":false,"usgs":false,"family":"Oimoen","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":56871,"text":"KBR Inc. Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":834196,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Megard, Logan J. 0000-0002-0150-4521","orcid":"https://orcid.org/0000-0002-0150-4521","contributorId":275655,"corporation":false,"usgs":false,"family":"Megard","given":"Logan","email":"","middleInitial":"J.","affiliations":[{"id":56872,"text":"C2G Inc. Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":834197,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70230388,"text":"70230388 - 2022 - Ground failure triggered by the 7 January 2020 M6.4 Puerto Rico earthquake","interactions":[],"lastModifiedDate":"2022-04-11T12:09:16.143542","indexId":"70230388","displayToPublicDate":"2022-02-09T07:07:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Ground failure triggered by the 7 January 2020 M6.4 Puerto Rico earthquake","docAbstract":"<div id=\"132659032\" class=\"article-section-wrapper js-article-section js-content-section  \"><p>The 7 January 2020<span>&nbsp;</span><strong>M</strong>&nbsp;6.4 Puerto Rico earthquake, the mainshock of an extended earthquake sequence, triggered significant ground failure. In this study, we detail the ground failure that occurred based largely on a postearthquake field reconnaissance campaign that we conducted. We documented more than 300 landslides, mainly rock falls that were concentrated in areas where peak ground acceleration (PGA) exceeded 30%<i>g</i>; sparse smaller landslides occurred in highly susceptible areas more than 50&nbsp;km from the epicenter and at PGA values &lt;10%<i>g</i>. Though some of the largest mass movements were in natural slopes, rock falls in road cuts had more impact because they caused widespread transportation disruption. Some structures also were damaged by landslides, but no landslide‐related fatalities were reported. Liquefaction and related lateral spreading were severe in some areas, causing damage to residential and commercial structures and a power plant. Most of the liquefaction occurred in coastal areas where shaking exceeded 50%<i>g</i>, though some of the most damaging instances were in Ponce, where shaking estimates were as low as 20%<i>g</i>. In this article, we summarize the most notable ground failures and detail the overall patterns that we observed. The observations and compiled inventory datasets presented here are valuable because no island‐wide hazard maps for earthquake‐triggered landslides or liquefaction have been developed for Puerto Rico, and postevent inventories are vital for such an effort. In general, the datasets presented here contribute to a global understanding of coseismic ground‐failure hazard by presenting detailed observations for a relatively moderate ground‐failure event with well‐constrained shaking estimates; current models and expectations are biased by the tendency to collect detailed datasets mainly for exceptional events.</p></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220210235","usgsCitation":"Allstadt, K.E., Thompson, E.M., Bayouth Garcia, D., Irizarry Brugman, E., Hughes, K.S., and Schmitt, R.G., 2022, Ground failure triggered by the 7 January 2020 M6.4 Puerto Rico earthquake: Seismological Research Letters, v. 93, no. 2A, p. 594-608, https://doi.org/10.1785/0220210235.","productDescription":"15 p.","startPage":"594","endPage":"608","ipdsId":"IP-134674","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":398459,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-65.3277,18.295843],[-65.337451,18.308308],[-65.327318,18.323666],[-65.342068,18.34529],[-65.335701,18.349535],[-65.329334,18.341955],[-65.321754,18.338316],[-65.309833,18.337973],[-65.304409,18.332054],[-65.298328,18.330529],[-65.255933,18.342117],[-65.221568,18.320959],[-65.222853,18.310464],[-65.249857,18.296691],[-65.260282,18.290823],[-65.283269,18.280214],[-65.3277,18.295843]]],[[[-67.89174,18.11397],[-67.887099,18.112574],[-67.87643,18.114157],[-67.869804,18.118851],[-67.861548,18.122144],[-67.848245,18.10832],[-67.843202,18.094858],[-67.843615,18.085099],[-67.845293,18.081938],[-67.853098,18.078195],[-67.865598,18.06544],[-67.871462,18.0578],[-67.895921,18.052342],[-67.904431,18.05913],[-67.918778,18.063116],[-67.927841,18.068572],[-67.940799,18.079716],[-67.934479,18.111306],[-67.932185,18.113221],[-67.91088,18.119668],[-67.89174,18.11397]]],[[[-65.308717,18.145172],[-65.302295,18.141089],[-65.294896,18.14283],[-65.287962,18.148097],[-65.275165,18.13443],[-65.276214,18.131936],[-65.283248,18.132999],[-65.296036,18.12799],[-65.322794,18.126589],[-65.327184,18.124106],[-65.338506,18.112439],[-65.342037,18.11138],[-65.350493,18.111914],[-65.364733,18.120377],[-65.397837,18.110873],[-65.399791,18.108832],[-65.411767,18.106211],[-65.423765,18.097764],[-65.426311,18.093749],[-65.45138,18.086096],[-65.45681,18.087778],[-65.465849,18.087715],[-65.468768,18.092643],[-65.47979,18.096352],[-65.507265,18.091646],[-65.524209,18.081977],[-65.542087,18.081177],[-65.558646,18.08566],[-65.569305,18.091616],[-65.570628,18.097325],[-65.57686,18.103224],[-65.575579,18.115669],[-65.546199,18.119329],[-65.511712,18.13284],[-65.489829,18.135912],[-65.46791,18.143767],[-65.437058,18.15766],[-65.399517,18.161935],[-65.371373,18.157517],[-65.334289,18.147761],[-65.313476,18.144296],[-65.308717,18.145172]]],[[[-66.438813,18.485713],[-66.420921,18.488639],[-66.410344,18.489886],[-66.394287,18.489748],[-66.377286,18.488044],[-66.37282,18.487726],[-66.349647,18.486335],[-66.337728,18.48562],[-66.315477,18.474724],[-66.31503,18.47468],[-66.291225,18.472347],[-66.283675,18.472203],[-66.276599,18.478129],[-66.269799,18.480281],[-66.258015,18.476906],[-66.251547,18.472464],[-66.241797,18.46874],[-66.220148,18.466],[-66.199032,18.466163],[-66.192664,18.466212],[-66.183886,18.460506],[-66.179218,18.455305],[-66.172315,18.451462],[-66.159796,18.451706],[-66.153037,18.454457],[-66.14395,18.459761],[-66.139572,18.462317],[-66.139451,18.462387],[-66.139443,18.462315],[-66.138532,18.453305],[-66.133085,18.445881],[-66.127938,18.444632],[-66.125198,18.451209],[-66.124284,18.456324],[-66.123188,18.45943],[-66.123343,18.460363],[-66.125015,18.470435],[-66.118338,18.469581],[-66.092098,18.466535],[-66.083254,18.462022],[-66.073987,18.4581],[-66.043272,18.453655],[-66.03944,18.454441],[-66.036559,18.450216],[-66.036491,18.450117],[-66.023221,18.443875],[-66.006523,18.444347],[-65.99718,18.449895],[-65.992935,18.457489],[-65.992793,18.458102],[-65.992349,18.460024],[-65.99079,18.460419],[-65.958492,18.451354],[-65.92567,18.444881],[-65.916843,18.444619],[-65.907756,18.446893],[-65.904988,18.450926],[-65.878683,18.438322],[-65.838825,18.431865],[-65.831476,18.426849],[-65.828457,18.423543],[-65.816691,18.410663],[-65.794556,18.402845],[-65.787666,18.402544],[-65.774937,18.413951],[-65.77053,18.41294],[-65.769749,18.409473],[-65.771695,18.406277],[-65.750455,18.385208],[-65.750179,18.38505],[-65.742154,18.380459],[-65.733567,18.382211],[-65.699069,18.368156],[-65.669636,18.362102],[-65.668845,18.361939],[-65.634431,18.369835],[-65.627246,18.376436],[-65.626527,18.381728],[-65.624975,18.386553],[-65.622761,18.387771],[-65.618229,18.386496],[-65.614891,18.382473],[-65.619068,18.367755],[-65.628198,18.353711],[-65.63419,18.338965],[-65.628047,18.328252],[-65.626456,18.298982],[-65.634389,18.292349],[-65.635826,18.288271],[-65.634893,18.283923],[-65.630833,18.264989],[-65.623111,18.248012],[-65.597618,18.234289],[-65.589947,18.228225],[-65.593795,18.224059],[-65.615981,18.227389],[-65.626731,18.235484],[-65.638181,18.229121],[-65.637565,18.224444],[-65.628414,18.205149],[-65.635281,18.199975],[-65.639688,18.205656],[-65.662185,18.207018],[-65.664127,18.207136],[-65.690749,18.19499],[-65.694515,18.187011],[-65.691021,18.178998],[-65.695856,18.179324],[-65.710895,18.186963],[-65.712533,18.189146],[-65.717999,18.190176],[-65.728471,18.185588],[-65.734664,18.180368],[-65.738834,18.174066],[-65.739125,18.173453],[-65.743632,18.163957],[-65.758728,18.156601],[-65.766919,18.148424],[-65.777584,18.129239],[-65.796711,18.083746],[-65.796289,18.079835],[-65.794686,18.078607],[-65.795028,18.073561],[-65.796711,18.069842],[-65.801831,18.058527],[-65.809174,18.056818],[-65.817107,18.063378],[-65.825848,18.057482],[-65.83109,18.050664],[-65.834274,18.038988],[-65.832429,18.014916],[-65.839591,18.015077],[-65.850913,18.011954],[-65.870335,18.006597],[-65.875122,18.002826],[-65.884937,17.988521],[-65.896102,17.99026],[-65.905319,17.983974],[-65.910537,17.981855],[-65.924738,17.976087],[-65.976611,17.967669],[-65.98455,17.969411],[-65.985358,17.971854],[-65.995185,17.978989],[-66.007731,17.980541],[-66.017308,17.979583],[-66.019539,17.978354],[-66.024,17.975896],[-66.046585,17.954853],[-66.049033,17.954561],[-66.058217,17.959238],[-66.068678,17.966335],[-66.069979,17.966357],[-66.08141,17.966552],[-66.116194,17.949141],[-66.127009,17.946953],[-66.140661,17.94102],[-66.147912,17.933963],[-66.155387,17.929406],[-66.159742,17.928613],[-66.161232,17.931747],[-66.175626,17.933565],[-66.186914,17.935363],[-66.189726,17.933936],[-66.200174,17.929515],[-66.206961,17.932268],[-66.213374,17.944614],[-66.202655,17.944753],[-66.185554,17.940997],[-66.179548,17.943727],[-66.174839,17.948214],[-66.176814,17.950438],[-66.206207,17.96305],[-66.206807,17.963307],[-66.215355,17.959376],[-66.218081,17.95729],[-66.231519,17.943912],[-66.229181,17.934651],[-66.232013,17.931154],[-66.252737,17.934574],[-66.260684,17.936083],[-66.270905,17.947098],[-66.275651,17.94826],[-66.290782,17.946491],[-66.297679,17.959148],[-66.31695,17.976683],[-66.323659,17.978536],[-66.338152,17.976492],[-66.33839,17.976458],[-66.362511,17.968231],[-66.365098,17.964832],[-66.368777,17.957717],[-66.371591,17.951469],[-66.385059,17.939004],[-66.391227,17.945819],[-66.398945,17.950925],[-66.412131,17.957286],[-66.445481,17.979379],[-66.450368,17.983226],[-66.454888,17.986784],[-66.461342,17.990273],[-66.491396,17.990262],[-66.510143,17.985618],[-66.540537,17.975476],[-66.583233,17.961229],[-66.589658,17.969386],[-66.594392,17.970682],[-66.605035,17.969015],[-66.623788,17.98105],[-66.631944,17.982746],[-66.645651,17.98026],[-66.657797,17.974605],[-66.664391,17.968259],[-66.672819,17.966451],[-66.699115,17.977568],[-66.709856,17.982109],[-66.713394,17.987763],[-66.716957,17.990344],[-66.731118,17.991658],[-66.746248,17.990349],[-66.750427,17.995443],[-66.753964,17.99959],[-66.755341,18.001203],[-66.764491,18.006317],[-66.770307,18.005955],[-66.799656,17.99245],[-66.806866,17.983786],[-66.807924,17.979606],[-66.806903,17.976046],[-66.805683,17.975052],[-66.795106,17.977438],[-66.789302,17.980793],[-66.784953,17.978326],[-66.787245,17.972914],[-66.80827,17.965635],[-66.8224,17.954499],[-66.838584,17.949931],[-66.852288,17.955004],[-66.856474,17.956553],[-66.859471,17.954316],[-66.862545,17.952022],[-66.871697,17.952707],[-66.88344,17.952526],[-66.899639,17.948298],[-66.904585,17.950527],[-66.906532,17.955356],[-66.906276,17.963368],[-66.924529,17.972808],[-66.928651,17.970204],[-66.930414,17.963127],[-66.916127,17.959102],[-66.909483,17.952559],[-66.909359,17.94988],[-66.912522,17.947446],[-66.930313,17.943389],[-66.932636,17.939998],[-66.931581,17.9369],[-66.919298,17.932062],[-66.923826,17.926923],[-66.927261,17.926875],[-66.959998,17.940216],[-66.980516,17.951648],[-66.98105,17.952505],[-66.982669,17.9551],[-66.982206,17.961192],[-66.987287,17.970663],[-66.996738,17.972899],[-67.003972,17.970799],[-67.014744,17.968468],[-67.024522,17.970722],[-67.062478,17.973819],[-67.076534,17.967759],[-67.089827,17.951418],[-67.101468,17.946621],[-67.109985,17.945806],[-67.109986,17.945806],[-67.128251,17.948153],[-67.133733,17.951919],[-67.167031,17.963073],[-67.178566,17.964792],[-67.183508,17.962706],[-67.188717,17.950989],[-67.187474,17.946252],[-67.183694,17.937982],[-67.183457,17.931135],[-67.194785,17.932826],[-67.196924,17.935651],[-67.197273,17.937461],[-67.197517,17.941514],[-67.197668,17.943549],[-67.198988,17.94782],[-67.200973,17.949896],[-67.210034,17.953595],[-67.212101,17.956027],[-67.21433,17.962436],[-67.215271,17.983464],[-67.211973,17.992993],[-67.207694,17.998019],[-67.177893,18.008882],[-67.174299,18.011149],[-67.172397,18.014906],[-67.172138,18.021422],[-67.173761,18.024548],[-67.193269,18.03185],[-67.209887,18.035439],[-67.196694,18.066491],[-67.190656,18.064269],[-67.184589,18.06775],[-67.183938,18.069914],[-67.186465,18.074195],[-67.192999,18.076877],[-67.198212,18.076828],[-67.199314,18.091135],[-67.19529,18.096149],[-67.183921,18.103683],[-67.182182,18.108507],[-67.176554,18.151046],[-67.178618,18.159318],[-67.180822,18.168055],[-67.180701,18.168182],[-67.155185,18.195001],[-67.152665,18.203493],[-67.158001,18.216719],[-67.173,18.230666],[-67.175429,18.248008],[-67.187843,18.266671],[-67.187873,18.266874],[-67.189971,18.281015],[-67.196056,18.290443],[-67.209963,18.294974],[-67.225403,18.296648],[-67.226081,18.296722],[-67.235137,18.299935],[-67.267484,18.353149],[-67.27135,18.362329],[-67.268259,18.366989],[-67.260671,18.370197],[-67.23909,18.375318],[-67.226744,18.378247],[-67.216998,18.382078],[-67.202167,18.389908],[-67.160144,18.415587],[-67.159608,18.415915],[-67.156599,18.418983],[-67.155245,18.424401],[-67.156619,18.439562],[-67.161746,18.453462],[-67.169011,18.466352],[-67.169016,18.478488],[-67.164144,18.487396],[-67.14283,18.505485],[-67.138249,18.507776],[-67.125655,18.511706],[-67.103468,18.514523],[-67.093752,18.515757],[-67.07929,18.513256],[-67.020276,18.510603],[-66.988958,18.497724],[-66.95954,18.489878],[-66.957733,18.489129],[-66.957517,18.489171],[-66.944636,18.491693],[-66.906872,18.483556],[-66.90143,18.484552],[-66.867386,18.490785],[-66.849673,18.490745],[-66.83694,18.487659],[-66.836635,18.487701],[-66.79932,18.492775],[-66.780311,18.491411],[-66.764893,18.484097],[-66.749301,18.476701],[-66.742067,18.474681],[-66.733986,18.473457],[-66.710743,18.472611],[-66.683719,18.481367],[-66.679876,18.484944],[-66.664364,18.487809],[-66.645839,18.488777],[-66.624618,18.494199],[-66.586778,18.484948],[-66.584074,18.484287],[-66.565241,18.485523],[-66.562916,18.48845],[-66.563485,18.490512],[-66.558503,18.489987],[-66.53484,18.481253],[-66.533487,18.481663],[-66.529476,18.482877],[-66.511609,18.476848],[-66.470292,18.46907],[-66.456486,18.46892],[-66.449184,18.470991],[-66.441852,18.479751],[-66.439961,18.485525],[-66.438813,18.485713]]]]},\"properties\":{\"name\":\"Puerto Rico\",\"nation\":\"USA  \"}}]}","volume":"93","issue":"2A","noUsgsAuthors":false,"publicationDate":"2022-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Allstadt, Kate E. 0000-0003-4977-5248","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":138704,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":840153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":840154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bayouth Garcia, Desiree","contributorId":237047,"corporation":false,"usgs":false,"family":"Bayouth Garcia","given":"Desiree","email":"","affiliations":[{"id":34129,"text":"University of Puerto Rico Mayaguez","active":true,"usgs":false}],"preferred":false,"id":840155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irizarry Brugman, Edwin","contributorId":237049,"corporation":false,"usgs":false,"family":"Irizarry Brugman","given":"Edwin","email":"","affiliations":[{"id":34129,"text":"University of Puerto Rico Mayaguez","active":true,"usgs":false}],"preferred":false,"id":840156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hughes, K. Stephen","contributorId":218339,"corporation":false,"usgs":false,"family":"Hughes","given":"K.","email":"","middleInitial":"Stephen","affiliations":[{"id":16585,"text":"University of Puerto Rico - Mayaguez","active":true,"usgs":false}],"preferred":false,"id":840157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schmitt, Robert G. 0000-0001-8060-1954 rschmitt@usgs.gov","orcid":"https://orcid.org/0000-0001-8060-1954","contributorId":5611,"corporation":false,"usgs":true,"family":"Schmitt","given":"Robert","email":"rschmitt@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":840158,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"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":70222925,"text":"70222925 - 2022 - Mature diffuse tectonic block boundary revealed by the 2020 southwestern Puerto Rico seismic sequence","interactions":[],"lastModifiedDate":"2022-03-23T15:27:18.978702","indexId":"70222925","displayToPublicDate":"2022-02-08T10:14:08","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Mature diffuse tectonic block boundary revealed by the 2020 southwestern Puerto Rico seismic sequence","docAbstract":"<p><span>Distributed faulting typically tends to coalesce into one or a few faults with repeated deformation. The progression of clustered medium-sized (≥Mw4.5) earthquakes during the 2020 seismic sequence in southwestern Puerto Rico (SWPR), modeling shoreline subsidence from InSAR, and sub-seafloor mapping by high-resolution seismic reflection profiles, suggest that the 2020 SWPR seismic sequence was distributed across several short intersecting strike-slip and normal faults beneath the insular shelf and upper slope of Guayanilla submarine canyon. Multibeam bathymetry map of the seafloor shows significant erosion and retreat of the shelf edge in the area of seismic activity as well as slope-parallel lineaments and submarine canyon meanders that typically develop over geological time. The&nbsp;</span><i>T</i><span>-axis of the moderate earthquakes further matches the extension direction previously measured on post early Pliocene (∼&gt;3&nbsp;Ma) faults. We conclude that although similar deformation has likely taken place in this area during recent geologic time, it does not appear to have coalesced during this time. The deformation may represent the southernmost part of a diffuse boundary, the Western Puerto Rico Deformation Boundary, which accommodates differential movement between the Puerto Rico and Hispaniola arc blocks. This differential movement is possibly driven by the differential seismic coupling along the Puerto Rico—Hispaniola subduction zone. We propose that the compositional heterogeneity across the island arc retards the process of focusing the deformation into a single fault. Given the evidence presented here, we should not expect a single large event in this area but similar diffuse sequences in the future.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021TC006896","usgsCitation":"ten Brink, U., Vanacore, L., Fielding, E.J., Chaytor, J., Lopez-Venegas, A., Baldwin, W.E., Foster, D.S., and Andrews, B.D., 2022, Mature diffuse tectonic block boundary revealed by the 2020 southwestern Puerto Rico seismic sequence: Tectonics, v. 41, no. 3, e2021TC006896, 18 p., https://doi.org/10.1029/2021TC006896.","productDescription":"e2021TC006896, 18 p.","ipdsId":"IP-129343","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":448860,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2021tc006896","text":"External Repository"},{"id":435976,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96GY6TQ","text":"USGS data release","linkHelpText":"Multichannel seismic-reflection and navigation data collected using SIG ELC1200 and Applied Acoustics Delta Sparkers and Geometrics GeoEel digital streamers during USGS field activity 2020-014-FA."},{"id":397463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Caribbean Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.6630859375,\n              13.752724664396988\n            ],\n            [\n              -64.4677734375,\n              13.752724664396988\n            ],\n            [\n              -64.4677734375,\n              21.12549763660628\n            ],\n            [\n              -74.6630859375,\n              21.12549763660628\n            ],\n            [\n              -74.6630859375,\n              13.752724664396988\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"41","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-02-28","publicationStatus":"PW","contributors":{"authors":[{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":820819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vanacore, L","contributorId":263421,"corporation":false,"usgs":false,"family":"Vanacore","given":"L","email":"","affiliations":[{"id":53976,"text":"Dept. of Geology, U. of Puerto Rico, Mayaguez, PR","active":true,"usgs":false}],"preferred":false,"id":820820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fielding, E. J.","contributorId":263422,"corporation":false,"usgs":false,"family":"Fielding","given":"E.","email":"","middleInitial":"J.","affiliations":[{"id":18954,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA","active":true,"usgs":false}],"preferred":false,"id":820821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chaytor, Jason 0000-0001-8135-8677 jchaytor@usgs.gov","orcid":"https://orcid.org/0000-0001-8135-8677","contributorId":140095,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":820822,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lopez-Venegas, A.M.","contributorId":263423,"corporation":false,"usgs":false,"family":"Lopez-Venegas","given":"A.M.","affiliations":[{"id":53976,"text":"Dept. of Geology, U. of Puerto Rico, Mayaguez, PR","active":true,"usgs":false}],"preferred":false,"id":820823,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baldwin, Wayne E. 0000-0001-5886-0917 wbaldwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5886-0917","contributorId":1321,"corporation":false,"usgs":true,"family":"Baldwin","given":"Wayne","email":"wbaldwin@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":820824,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Foster, David S. 0000-0003-1205-0884 dfoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0884","contributorId":1320,"corporation":false,"usgs":true,"family":"Foster","given":"David","email":"dfoster@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":820825,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Andrews, Brian D. 0000-0003-1024-9400 bandrews@usgs.gov","orcid":"https://orcid.org/0000-0003-1024-9400","contributorId":201662,"corporation":false,"usgs":true,"family":"Andrews","given":"Brian","email":"bandrews@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":820826,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70228381,"text":"70228381 - 2022 - Shoaling wave shape estimates from field observations and derived bedload sediment rates","interactions":[],"lastModifiedDate":"2022-02-09T16:23:50.789606","indexId":"70228381","displayToPublicDate":"2022-02-08T10:12:05","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2380,"text":"Journal of Marine Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Shoaling wave shape estimates from field observations and derived bedload sediment rates","docAbstract":"<p><span>The shoaling transformation from generally linear deep-water waves to asymmetric shallow-water waves modifies wave shapes and causes near-bed orbital velocities to become asymmetrical, contributing to net sediment transport. In this work, we used two methods to estimate the asymmetric wave shape from data at three sites. The first method converted wave measurements made at the surface to idealized near-bottom wave-orbital velocities using a set of empirical equations: the “parameterized” waveforms. The second method involved direct measurements of velocities and pressure made near the seabed: the “direct” waveforms. Estimates from the two methods were well correlated at all three sites (Pearson’s correlation coefficient greater than 0.85). Both methods were used to drive bedload-transport calculations that accounted for asymmetric waves, and the results were compared with a traditional excess-stress formulation and field estimates of bedload transport derived from ripple migration rates based on sonar imagery. The cumulative bedload transport from the parameterized waveform was 25% greater than the direct waveform, mainly because the parameterized waveform did not account for negative skewness. Calculated transport rates were comparable to rates estimated from ripple migration except during the largest event, when calculated rates were as much as 100 times greater, which occurred during high period waves.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/jmse10020223","usgsCitation":"Kalra, T., Suttles, S.E., Sherwood, C.R., Warner, J.C., Aretxabaleta, A., and Leavitt, G.R., 2022, Shoaling wave shape estimates from field observations and derived bedload sediment rates: Journal of Marine Science and Engineering, v. 10, no. 2, 223, 27 p., https://doi.org/10.3390/jmse10020223.","productDescription":"223, 27 p.","ipdsId":"IP-130494","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":448866,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/jmse10020223","text":"Publisher Index Page"},{"id":395674,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Massachusetts, New York","otherGeospatial":"Fire Island, Martha Vineyard, Matanzas Inlet","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.30260467529297,\n              29.898252057056208\n            ],\n            [\n              -81.2739372253418,\n              29.898252057056208\n            ],\n            [\n              -81.2739372253418,\n              29.916405869526507\n            ],\n            [\n              -81.30260467529297,\n              29.916405869526507\n            ],\n            [\n              -81.30260467529297,\n              29.898252057056208\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.57891845703125,\n              41.31907562295139\n            ],\n            [\n              -70.52604675292969,\n              41.31907562295139\n            ],\n            [\n              -70.52604675292969,\n              41.38041517477678\n            ],\n            [\n              -70.57891845703125,\n              41.38041517477678\n            ],\n            [\n              -70.57891845703125,\n              41.31907562295139\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.19744110107422,\n              40.61890405098613\n            ],\n            [\n              -73.1744384765625,\n              40.61890405098613\n            ],\n            [\n              -73.1744384765625,\n              40.63206312461566\n            ],\n            [\n              -73.19744110107422,\n              40.63206312461566\n            ],\n            [\n              -73.19744110107422,\n              40.61890405098613\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-02-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Kalra, Tarandeep S. 0000-0001-5468-248X tkalra@usgs.gov","orcid":"https://orcid.org/0000-0001-5468-248X","contributorId":178820,"corporation":false,"usgs":true,"family":"Kalra","given":"Tarandeep S.","email":"tkalra@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":834048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Suttles, Steven E. 0000-0002-4119-8370 ssuttles@usgs.gov","orcid":"https://orcid.org/0000-0002-4119-8370","contributorId":192272,"corporation":false,"usgs":true,"family":"Suttles","given":"Steven","email":"ssuttles@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":834049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":834050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":258015,"corporation":false,"usgs":true,"family":"Warner","given":"John","email":"jcwarner@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":834051,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aretxabaleta, Alfredo 0000-0002-9914-8018 aaretxabaleta@usgs.gov","orcid":"https://orcid.org/0000-0002-9914-8018","contributorId":140090,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo","email":"aaretxabaleta@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":834052,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leavitt, Gibson Robert Scott 0000-0001-5362-9150","orcid":"https://orcid.org/0000-0001-5362-9150","contributorId":275364,"corporation":false,"usgs":true,"family":"Leavitt","given":"Gibson","email":"","middleInitial":"Robert Scott","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":834053,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70232989,"text":"70232989 - 2022 - Empirical map-based nonergodic models of site response in the greater Los Angeles area","interactions":[],"lastModifiedDate":"2022-07-15T13:43:13.704946","indexId":"70232989","displayToPublicDate":"2022-02-08T08:31:53","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Empirical map-based nonergodic models of site response in the greater Los Angeles area","docAbstract":"<p>We develop empirical estimates of site response at seismic stations in the Los Angeles area using recorded ground motions from 414&nbsp;<strong>M</strong><span>&nbsp;3–7.3 earthquakes in southern California. The data are from a combination of the Next Generation Attenuation‐West2 project, the 2019 Ridgecrest earthquakes, and about 10,000 newly processed records. We estimate site response using an iterative mixed‐effects residuals partitioning approach, accounting for azimuthal variations in anelastic attenuation and potential bias due to spatial clusters of colocated earthquakes. This process yields site response for peak ground acceleration, peak ground velocity, and pseudospectral acceleration relative to a 760&nbsp;m/s shear‐wave velocity (</span><span class=\"inline-formula no-formula-id\">⁠<i><strong><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>V</mi><mi>S</mi></msub></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"msub\"><span id=\"MathJax-Span-4\" class=\"mi\">V</span></span></span></span></span></strong><sub><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>V</mi><mi>S</mi></msub></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"msub\"><span id=\"MathJax-Span-4\" class=\"mi\">s</span></span></span></span></span></sub></i></span><span>) reference condition. We employ regression kriging to generate a spatially continuous site response model, using the linear site and basin terms from&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf25\">Boore<span>&nbsp;</span><i>et&nbsp;al.</i><span>&nbsp;</span>(2014)</a><span> as the background model, which depend on <span class=\"inline-formula no-formula-id\"><i><strong><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>V</mi><mi>S</mi></msub></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"msub\"><span id=\"MathJax-Span-4\" class=\"mi\">V</span></span></span></span></span></strong><sub><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>V</mi><mi>S</mi></msub></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"msub\"><span id=\"MathJax-Span-4\" class=\"mi\">s</span></span></span></span></span></sub></i><sub><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>V</mi><mi>S</mi></msub></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"msub\"><span id=\"MathJax-Span-4\" class=\"mi\">30</span></span></span></span></span></sub><i><strong>⁠</strong></i></span></span><span> and depth to the 1&nbsp;km/s <span class=\"inline-formula no-formula-id\"><i><strong><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>V</mi><mi>S</mi></msub></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"msub\"><span id=\"MathJax-Span-4\" class=\"mi\">V</span></span></span></span></span></strong><sub><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>V</mi><mi>S</mi></msub></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"msub\"><span id=\"MathJax-Span-4\" class=\"mi\">s</span></span></span></span></span></sub></i></span></span><span>&nbsp;isosurface. This is different from past approaches to nonergodic models, in which spatially varying coefficients are regressed. We validate the model using stations in the Community Seismic Network (CSN) that are in the middle of our model spatial domain but were not considered in model development, finding strong agreement between the interpolated model and CSN data for long periods. Our model could be implemented in regional seismic hazard analyses, which would lead to improvements especially at long return periods. Our site response model also has potential to improve both ground‐motion accuracy and warning times for the U.S. Geological Survey ShakeAlert earthquake early warning (EEW) system. For a point‐source EEW simulation of the 1994&nbsp;</span><strong>M</strong><span>&nbsp;6.7 Northridge earthquake, our model produces ground motions more consistent with the ground‐truth ShakeMap and would alert areas with high population density such as downtown Los Angeles at lower estimated magnitudes (i.e., sooner) than an ergodic model for a modified Mercalli intensity 4.5 alerting threshold.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120210175","usgsCitation":"Parker, G.A., and Baltay Sundstrom, A.S., 2022, Empirical map-based nonergodic models of site response in the greater Los Angeles area: Bulletin of the Seismological Society of America, v. 112, no. 3, p. 1607-1629, https://doi.org/10.1785/0120210175.","productDescription":"23 p.","startPage":"1607","endPage":"1629","ipdsId":"IP-128148","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":403786,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Los Angeles","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.905029296875,\n              33.247875947924385\n            ],\n            [\n              -117.04559326171874,\n              33.247875947924385\n            ],\n            [\n              -117.04559326171874,\n              34.359308974793564\n            ],\n            [\n              -118.905029296875,\n              34.359308974793564\n            ],\n            [\n              -118.905029296875,\n              33.247875947924385\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"112","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-02-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":846627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":846628,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70229432,"text":"70229432 - 2022 - Earthquake-derived seismic velocity changes during the 2018 caldera collapse of Kīlauea volcano","interactions":[],"lastModifiedDate":"2022-03-08T12:44:51.557065","indexId":"70229432","displayToPublicDate":"2022-02-08T06:42:28","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake-derived seismic velocity changes during the 2018 caldera collapse of Kīlauea volcano","docAbstract":"<div class=\"article-section__content en main\"><p>The 2018 Kīlauea caldera collapse produced extraordinary sequences of seismicity and deformation, with 62 episodic collapse events which significantly altered the landscape of the summit region. Despite decades of focused scientific studies at Kīlauea, detailed information about the internal structure of the volcano is limited. Recently developed techniques in seismic interferometry can be used to monitor the internal structure of an active volcano more directly by detecting subtle spatiotemporal changes in seismic wave velocity, but their utility relies on accurate interpretations of the underlying phenomena causing those velocity changes. Here, we retrospectively apply repeating-earthquake-based seismic interferometry to the 2018 Kīlauea eruption sequence. We find that seismic velocities changed over two distinct time scales: a sudden increase followed by a slower decrease in velocity in the hours following each collapse event, and a gradual, long-term decrease in velocity over several weeks that ceased approximately 1&nbsp;month prior to the end of the eruption. Modeling suggests that short-term changes can be explained by magma reservoir pressurization which specifically closed vertical ring fractures. Long-term changes are related to subsidence of the caldera and likely include the influence of inelastic strain from the formation of new fractures. These observations provide new insights into the evolution of Kīlauea during its progressive collapse and will inform future interpretations for near-real-time monitoring at hazardous volcanoes around the world using similar techniques, especially where a dominant fracture orientation is present.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021JB023324","usgsCitation":"Hotovec-Ellis, A.J., Shiro, B., Shelly, D.R., Anderson, K.R., Haney, M., Thelen, W., Montgomery-Brown, E.K., and Johanson, I.A., 2022, Earthquake-derived seismic velocity changes during the 2018 caldera collapse of Kīlauea volcano: Journal of Geophysical Research, v. 127, no. 2, e2021JB023324, 17 p., https://doi.org/10.1029/2021JB023324.","productDescription":"e2021JB023324, 17 p.","ipdsId":"IP-125339","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":448869,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021jb023324","text":"Publisher Index Page"},{"id":435977,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X3QOSU","text":"USGS data release","linkHelpText":"Time series of seismic velocity changes during the 2018 collapse of Kīlauea volcano derived from coda wave interferometry of repeating earthquakes"},{"id":396846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.33157348632812,\n              19.370749630150478\n            ],\n            [\n              -155.17913818359375,\n              19.370749630150478\n            ],\n            [\n              -155.17913818359375,\n              19.449759112405612\n            ],\n            [\n              -155.33157348632812,\n              19.449759112405612\n            ],\n            [\n              -155.33157348632812,\n              19.370749630150478\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"127","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-02-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Hotovec-Ellis, Alicia J. 0000-0003-1917-0205","orcid":"https://orcid.org/0000-0003-1917-0205","contributorId":211785,"corporation":false,"usgs":true,"family":"Hotovec-Ellis","given":"Alicia","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":837427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shiro, Brian 0000-0001-8756-288X","orcid":"https://orcid.org/0000-0001-8756-288X","contributorId":204040,"corporation":false,"usgs":true,"family":"Shiro","given":"Brian","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":837428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":837429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Kyle R. 0000-0001-8041-3996 kranderson@usgs.gov","orcid":"https://orcid.org/0000-0001-8041-3996","contributorId":3522,"corporation":false,"usgs":true,"family":"Anderson","given":"Kyle","email":"kranderson@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":837430,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haney, Matt 0000-0003-3317-7784","orcid":"https://orcid.org/0000-0003-3317-7784","contributorId":288109,"corporation":false,"usgs":true,"family":"Haney","given":"Matt","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":837431,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thelen, Weston 0000-0003-2534-5577","orcid":"https://orcid.org/0000-0003-2534-5577","contributorId":215530,"corporation":false,"usgs":true,"family":"Thelen","given":"Weston","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":837432,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Montgomery-Brown, Emily K. 0000-0001-6787-2055","orcid":"https://orcid.org/0000-0001-6787-2055","contributorId":214074,"corporation":false,"usgs":true,"family":"Montgomery-Brown","given":"Emily","email":"","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":837433,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johanson, Ingrid A. 0000-0002-6049-2225","orcid":"https://orcid.org/0000-0002-6049-2225","contributorId":215613,"corporation":false,"usgs":true,"family":"Johanson","given":"Ingrid","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":837434,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70228168,"text":"70228168 - 2022 - Perfluoroalkyl and polyfluoroalkyl substances in groundwater used as a source of drinking water in the eastern United States","interactions":[],"lastModifiedDate":"2022-03-17T16:48:46.028922","indexId":"70228168","displayToPublicDate":"2022-02-07T13:34:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Perfluoroalkyl and polyfluoroalkyl substances in groundwater used as a source of drinking water in the eastern United States","docAbstract":"In 2019, 254 samples were collected from five aquifer systems to evaluate per- and polyfluoroalkyl substance (PFAS) occurrence in groundwater used as a source of drinking water in the eastern United States. The samples were analyzed for 24 PFAS, major ions, nutrients, trace elements, dissolved organic carbon (DOC), volatile organic compounds (VOCs), pharmaceuticals, and tritium. Fourteen of the 24 PFAS were detected in groundwater, with 60% and 20% of public-supply and domestic wells, respectively, containing at least one PFAS detection. Concentrations of tritium, chloride, sulfate, DOC, and manganese+iron; percent urban land use within 500 m of the wells; and VOC and pharmaceutical detection frequencies were significantly higher in samples containing PFAS detections than in samples with no detections. Boosted Regression Tree models that consider 57 chemical and land-use variables show that tritium concentration, distance to the nearest fire-training area, percentage of urban land use, and DOC and VOC concentrations are the top five predictors of PFAS detections, consistent with hydrologic position, geochemistry, and land use being important controls on PFAS occurrence in groundwater. Model results indicate it may be possible to predict PFAS detections in groundwater using existing data sources.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.1c04795","usgsCitation":"McMahon, P.B., Tokranov, A.K., Bexfield, L.M., Lindsey, B.D., Johnson, T., Lombard, M.A., and Watson, E., 2022, Perfluoroalkyl and polyfluoroalkyl substances in groundwater used as a source of drinking water in the eastern United States: Environmental Science & Technology, v. 56, no. 4, p. 2279-2288, https://doi.org/10.1021/acs.est.1c04795.","productDescription":"10 p.","startPage":"2279","endPage":"2288","ipdsId":"IP-129437","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":448872,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.1c04795","text":"Publisher Index Page"},{"id":435978,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R7UJYV","text":"USGS data release","linkHelpText":"Geochemical and Geospatial Data for Per- and Polyfluoroalkyl Substances (PFAS) in Groundwater Used As a Source of Drinking Water in the Eastern United States"},{"id":395563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Glacial aquifer, Mississippi Embayment aquifer, Southeastern Coastal Plain aquifer, Stream Valley aquifer, Surfical aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.806640625,\n              41.50857729743935\n            ],\n            [\n              -70.57617187499999,\n              41.31082388091818\n            ],\n            [\n              -70.3125,\n              42.22851735620852\n            ],\n            [\n              -70.3125,\n              42.74701217318067\n            ],\n            [\n              -68.90625,\n              43.89789239125797\n            ],\n            [\n              -67.8515625,\n              44.59046718130883\n            ],\n            [\n              -66.70898437499999,\n              44.96479793033101\n            ],\n            [\n              -67.8515625,\n              45.583289756006316\n            ],\n            [\n              -71.015625,\n              44.33956524809713\n            ],\n            [\n              -71.3671875,\n              43.389081939117496\n            ],\n            [\n              -71.806640625,\n              41.50857729743935\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.486328125,\n              41.705728515237524\n            ],\n            [\n              -78.9697265625,\n              41.11246878918088\n            ],\n            [\n              -79.8486328125,\n              40.58058466412761\n            ],\n            [\n              -81.03515625,\n              40.1452892956766\n            ],\n            [\n              -82.353515625,\n              38.85682013474361\n            ],\n            [\n              -85.0341796875,\n              38.95940879245423\n            ],\n            [\n              -87.7587890625,\n              38.13455657705411\n            ],\n            [\n              -89.3408203125,\n              36.77409249464195\n            ],\n            [\n              -91.0986328125,\n              34.45221847282654\n            ],\n            [\n              -91.0986328125,\n              32.99023555965106\n            ],\n            [\n              -90.2197265625,\n              31.541089879585808\n            ],\n            [\n              -89.5166015625,\n              31.653381399664\n            ],\n            [\n              -89.07714843749999,\n              31.952162238024975\n            ],\n            [\n              -88.9453125,\n              32.69486597787505\n            ],\n            [\n              -89.2529296875,\n              33.54139466898275\n            ],\n            [\n              -89.3408203125,\n              34.66935854524543\n            ],\n            [\n              -88.154296875,\n              36.914764288955936\n            ],\n            [\n              -86.5283203125,\n              37.61423141542417\n            ],\n            [\n              -83.671875,\n              37.71859032558816\n            ],\n            [\n              -82.1337890625,\n              38.20365531807149\n            ],\n            [\n              -80.85937499999999,\n              38.58252615935333\n            ],\n            [\n              -79.1455078125,\n              39.198205348894795\n            ],\n            [\n              -77.95898437499999,\n              40.04443758460856\n            ],\n            [\n              -77.080078125,\n              41.04621681452063\n            ],\n            [\n              -77.16796875,\n              41.83682786072714\n            ],\n            [\n              -78.486328125,\n              41.705728515237524\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.8486328125,\n              33.063924198120645\n            ],\n            [\n              -80.5078125,\n              33.063924198120645\n            ],\n            [\n              -81.5185546875,\n              32.175612478499325\n            ],\n            [\n              -82.265625,\n              31.090574094954192\n            ],\n            [\n              -81.8701171875,\n              29.611670115197377\n            ],\n            [\n              -81.1669921875,\n              27.68352808378776\n            ],\n            [\n              -80.5517578125,\n              26.352497858154024\n            ],\n            [\n              -80.37597656249999,\n              25.64152637306577\n            ],\n            [\n              -79.7607421875,\n              25.720735134412106\n            ],\n            [\n              -79.8046875,\n              27.254629577800063\n            ],\n            [\n              -80.37597656249999,\n              29.036960648558267\n            ],\n            [\n              -81.1669921875,\n              30.56226095049944\n            ],\n            [\n              -80.8154296875,\n              32.287132632616384\n            ],\n            [\n              -79.8046875,\n              32.43561304116276\n            ],\n            [\n              -79.27734374999999,\n              33.137551192346145\n            ],\n            [\n              -79.8486328125,\n              33.063924198120645\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.44140625,\n              27.254629577800063\n            ],\n            [\n              -82.44140625,\n              26.78484736105119\n            ],\n            [\n              -82.001953125,\n              26.115985925333536\n            ],\n            [\n              -81.5185546875,\n              25.48295117535531\n            ],\n            [\n              -80.9912109375,\n              25.363882272740256\n            ],\n            [\n              -81.1669921875,\n              26.15543796871355\n            ],\n            [\n              -81.82617187499999,\n              27.059125784374068\n            ],\n            [\n              -82.44140625,\n              27.254629577800063\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"56","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833290,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tokranov, Andrea K. 0000-0003-4811-8641","orcid":"https://orcid.org/0000-0003-4811-8641","contributorId":255483,"corporation":false,"usgs":true,"family":"Tokranov","given":"Andrea","email":"","middleInitial":"K.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bexfield, Laura M. 0000-0002-1789-654X bexfield@usgs.gov","orcid":"https://orcid.org/0000-0002-1789-654X","contributorId":1273,"corporation":false,"usgs":true,"family":"Bexfield","given":"Laura","email":"bexfield@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833292,"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":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":833293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Tyler D. 0000-0002-7334-9188","orcid":"https://orcid.org/0000-0002-7334-9188","contributorId":201888,"corporation":false,"usgs":true,"family":"Johnson","given":"Tyler D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833294,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lombard, Melissa A. 0000-0001-5924-6556 mlombard@usgs.gov","orcid":"https://orcid.org/0000-0001-5924-6556","contributorId":198254,"corporation":false,"usgs":true,"family":"Lombard","given":"Melissa","email":"mlombard@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":833295,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Watson, Elise 0000-0003-2213-4707","orcid":"https://orcid.org/0000-0003-2213-4707","contributorId":206381,"corporation":false,"usgs":true,"family":"Watson","given":"Elise","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833296,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70228149,"text":"70228149 - 2022 - Nutrient improvements in Chesapeake Bay: Direct effect of load reductions and implications for coastal management","interactions":[],"lastModifiedDate":"2022-02-07T16:49:58.212376","indexId":"70228149","displayToPublicDate":"2022-02-07T10:39:32","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Nutrient improvements in Chesapeake Bay: Direct effect of load reductions and implications for coastal management","docAbstract":"In Chesapeake Bay in the United States, decades of management efforts have resulted in modest reductions of nutrient loads from the watershed, but corresponding improvements in estuarine water quality have not clearly materialized. Generalized additive models were used to directly link river flows and nutrient loads from the watershed to nutrient trends in the estuary on a station-by-station basis, which allowed for identification of exactly when and where responses are happening. Results show that Chesapeake Bay total nitrogen and total phosphorus conditions are mostly improving after accounting for variation in freshwater flow. Almost all of these improving nutrient concentrations in the estuary can be explained by reductions in watershed loads entering through 16 rivers and 145 nearby point sources. These two major types of loads from multiple locations across the watershed are together necessary and responsible for improving estuarine nutrient conditions, a finding that is highly relevant to managing valuable estuarine resources worldwide.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.1c05388","usgsCitation":"Murphy, R.R., Keisman, J.L., Harcum, J., Karrh, R., Lane, M.F., Perry, E.S., and Zhang, Q., 2022, Nutrient improvements in Chesapeake Bay: Direct effect of load reductions and implications for coastal management: Environmental Science & Technology, v. 56, p. 260-270, https://doi.org/10.1021/acs.est.1c05388.","productDescription":"11 p.","startPage":"260","endPage":"270","ipdsId":"IP-133943","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":448875,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://digitalcommons.odu.edu/biology_fac_pubs/470","text":"Publisher Index Page"},{"id":395542,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.256103515625,\n              36.87962060502676\n            ],\n            [\n              -76.1572265625,\n              36.88840804313823\n            ],\n            [\n              -75.97869873046874,\n              37.08585785263673\n            ],\n            [\n              -75.96221923828125,\n              37.243448378654115\n            ],\n            [\n              -75.92376708984375,\n              37.40943717748788\n            ],\n            [\n              -75.78094482421875,\n              37.60987994374712\n            ],\n            [\n              -75.574951171875,\n              37.965854128749434\n            ],\n            [\n              -75.673828125,\n              38.13887716726548\n            ],\n            [\n              -75.79742431640625,\n              38.39118617958438\n            ],\n            [\n              -75.926513671875,\n              38.55460931253295\n            ],\n            [\n              -75.95123291015625,\n              38.953001345359894\n            ],\n            [\n              -75.80841064453125,\n              39.22799807055236\n            ],\n            [\n              -75.80841064453125,\n              39.66702799810167\n            ],\n            [\n              -75.91827392578125,\n              39.679712203159745\n            ],\n            [\n              -76.3714599609375,\n              39.55700068337126\n            ],\n            [\n              -76.717529296875,\n              39.30242456041487\n            ],\n            [\n              -76.673583984375,\n              39.15136267949029\n            ],\n            [\n              -76.6021728515625,\n              38.831149809348744\n            ],\n            [\n              -76.5692138671875,\n              38.586820096127674\n            ],\n            [\n              -76.48956298828125,\n              38.26406296833961\n            ],\n            [\n              -76.57470703125,\n              37.55764242679522\n            ],\n            [\n              -76.5032958984375,\n              37.142803443716836\n            ],\n            [\n              -76.256103515625,\n              36.87962060502676\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"56","noUsgsAuthors":false,"publicationDate":"2021-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Rebecca R.","contributorId":274698,"corporation":false,"usgs":false,"family":"Murphy","given":"Rebecca","email":"","middleInitial":"R.","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":833242,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keisman, Jennifer L. D. 0000-0001-6808-9193","orcid":"https://orcid.org/0000-0001-6808-9193","contributorId":210994,"corporation":false,"usgs":true,"family":"Keisman","given":"Jennifer","email":"","middleInitial":"L. D.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833243,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harcum, Jon","contributorId":243341,"corporation":false,"usgs":false,"family":"Harcum","given":"Jon","email":"","affiliations":[{"id":48695,"text":"Tetra Tech, Inc.","active":true,"usgs":false}],"preferred":false,"id":833244,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karrh, Renee","contributorId":245830,"corporation":false,"usgs":false,"family":"Karrh","given":"Renee","email":"","affiliations":[{"id":33964,"text":"Maryland Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":833245,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lane, Michael F.","contributorId":245831,"corporation":false,"usgs":false,"family":"Lane","given":"Michael","email":"","middleInitial":"F.","affiliations":[{"id":36518,"text":"Old Dominion University","active":true,"usgs":false}],"preferred":false,"id":833246,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Perry, Elgin S.","contributorId":274700,"corporation":false,"usgs":false,"family":"Perry","given":"Elgin","email":"","middleInitial":"S.","affiliations":[{"id":48694,"text":"Statistics Consultant","active":true,"usgs":false}],"preferred":false,"id":833247,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhang, Qian 0000-0003-0500-5655","orcid":"https://orcid.org/0000-0003-0500-5655","contributorId":174393,"corporation":false,"usgs":false,"family":"Zhang","given":"Qian","email":"","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":833248,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70228234,"text":"70228234 - 2022 - How much marsh restoration is enough to deliver wave attenuation coastal protection benefits?","interactions":[],"lastModifiedDate":"2022-02-08T15:53:43.407112","indexId":"70228234","displayToPublicDate":"2022-02-07T09:50:21","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"How much marsh restoration is enough to deliver wave attenuation coastal protection benefits?","docAbstract":"<p><span>As coastal communities grow more vulnerable to sea-level rise and increased storminess, communities have turned to nature-based solutions to bolster coastal resilience and protection. Marshes have significant wave attenuation properties and can play an important role in coastal protection for many communities. Many restoration projects seek to maximize this ecosystem service but how much marsh restoration is enough to deliver measurable coastal protection benefits is still unknown. This question is critical to guiding assessments of cost effectiveness and for funding, implementation, and optimizing of marsh restoration for risk reduction projects. This study uses SWAN model simulations to determine empirical relationships between wave attenuation and marsh vegetation. The model runs consider several different common marsh morphologies (including systems with channels, ponds, and fringing mudflats), vegetation placement, and simulated storm intensity. Up to a 95% reduction in wave energy is seen at as low as 50% vegetation cover. Although these empirical relationships between vegetative cover and wave attenuation provide essential insight for marsh restoration, it is also important to factor in lifespan estimates of restored marshes when making overall restoration decisions. The results of this study are important for coastal practitioners and managers seeking performance goals and metrics for marsh restoration, enhancement, and creation.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmars.2021.756670","usgsCitation":"Castagno, K.A., Ganju, N., Beck, M.W., Bowden, A., and Scyphers, S.B., 2022, How much marsh restoration is enough to deliver wave attenuation coastal protection benefits?: Frontiers in Marine Science, v. 8, 756670, 10 p., https://doi.org/10.3389/fmars.2021.756670.","productDescription":"756670, 10 p.","ipdsId":"IP-132439","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":448878,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2021.756670","text":"Publisher Index Page"},{"id":395623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2022-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Castagno, Katherine A. 0000-0003-4060-926X","orcid":"https://orcid.org/0000-0003-4060-926X","contributorId":267188,"corporation":false,"usgs":false,"family":"Castagno","given":"Katherine","email":"","middleInitial":"A.","affiliations":[{"id":55434,"text":"Center for Coastal Studies, Provincetown, MA, USA","active":true,"usgs":false}],"preferred":false,"id":833497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":833498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beck, Michael W.","contributorId":259298,"corporation":false,"usgs":false,"family":"Beck","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":true,"id":833499,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowden, Alison","contributorId":274903,"corporation":false,"usgs":false,"family":"Bowden","given":"Alison","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":833500,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scyphers, Steven B.","contributorId":274810,"corporation":false,"usgs":false,"family":"Scyphers","given":"Steven","middleInitial":"B.","affiliations":[{"id":56654,"text":"Northeastern University Marine Science Center, 430 Nahant Rd, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":833501,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70228204,"text":"70228204 - 2022 - Behavioral state-dependent habitat selection and implications for animal translocations","interactions":[],"lastModifiedDate":"2022-02-07T15:22:24.279529","indexId":"70228204","displayToPublicDate":"2022-02-07T09:10:37","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Behavioral state-dependent habitat selection and implications for animal translocations","docAbstract":"<ol class=\"\"><li>Post-release monitoring of translocated animals is often used to inform future translocation protocols. Quantifying habitat selection of translocated individuals may help identify features that characterize good settlement habitat and thus inform the choice of future release sites. However, translocated animals often undergo post-release behavioural modification, and their habitat selection may vary depending on the underlying behavioural state.</li><li>To investigate this, we analysed behavioural state-dependent habitat selection in female greater sage-grouse<span>&nbsp;</span><i>Centrocercus urophasianus</i><span>&nbsp;</span>translocated from Wyoming to North Dakota, USA, using Hidden Markov Models combined with Integrated Step Selection Analysis. We segmented individual trajectories into behavioural phases corresponding to an exploratory state, characterized by broad and directed movements, and a restricted state, characterized by short and tortuous movements. Then, we quantified habitat selection in each state while accounting for seasonality and individual reproductive status.</li><li>While in the exploratory state, sage-grouse exhibited natal habitat preference induction by selecting for high sagebrush cover, which is typical of their natal area in Wyoming but not of the release area in North Dakota.</li><li>In the restricted state, sage-grouse selected for gentle topography and also adjusted their habitat selection to constraints imposed by seasonality and reproductive needs by selecting for high herbaceous cover during brood rearing.</li><li><i>Synthesis and applications</i>. Habitat selection of translocated sage-grouse differed between the post-release exploration and the settlement phase. Features selected after settling, not during exploration, are likely indicative of suitable settlement habitat. Our results suggest that areas characterized by gentle topography and high herbaceous cover are well-suited as release sites for sage-grouse translocated during the summer, especially brood-rearing females, and that sagebrush cover may not be a critical factor in determining the appropriateness of release sites for sage-grouse in North Dakota. Our findings highlight the need to consider behaviour when using habitat selection estimates to inform the choice of future release sites.</li></ol>","language":"English","publisher":"Wiley-Blackwell","doi":"10.1111/1365-2664.14080","usgsCitation":"Picardi, S., Coates, P.S., Kolar, J.L., O’Neil, S.T., Mathews, S.R., and Dahlgren, D.K., 2022, Behavioral state-dependent habitat selection and implications for animal translocations: Journal of Applied Ecology, v. 59, no. 2, p. 624-635, https://doi.org/10.1111/1365-2664.14080.","productDescription":"12 p.","startPage":"624","endPage":"635","ipdsId":"IP-132839","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":448880,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.14080","text":"Publisher Index Page"},{"id":395529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota, Wyoming","county":"Bowman County","otherGeospatial":"Stewart Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.43231201171875,\n              42.002366213375524\n            ],\n            [\n              -107.37762451171875,\n              42.002366213375524\n            ],\n            [\n              -107.37762451171875,\n              42.66628070564928\n            ],\n            [\n              -108.43231201171875,\n              42.66628070564928\n            ],\n            [\n              -108.43231201171875,\n              42.002366213375524\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.04602050781249,\n              45.93969078234\n            ],\n            [\n              -102.0135498046875,\n              45.93969078234\n            ],\n            [\n              -102.0135498046875,\n              46.81133924039194\n            ],\n            [\n              -104.04602050781249,\n              46.81133924039194\n            ],\n            [\n              -104.04602050781249,\n              45.93969078234\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"59","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-11-27","publicationStatus":"PW","contributors":{"editors":[{"text":"Smith, Annabel","contributorId":274856,"corporation":false,"usgs":false,"family":"Smith","given":"Annabel","email":"","affiliations":[],"preferred":false,"id":833431,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Picardi, Simona 0000-0002-2623-6623","orcid":"https://orcid.org/0000-0002-2623-6623","contributorId":237045,"corporation":false,"usgs":false,"family":"Picardi","given":"Simona","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":833411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":833412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolar, Jesse L.","contributorId":259247,"corporation":false,"usgs":false,"family":"Kolar","given":"Jesse","email":"","middleInitial":"L.","affiliations":[{"id":36989,"text":"North Dakota Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":833413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Neil, Shawn T. 0000-0002-0899-5220","orcid":"https://orcid.org/0000-0002-0899-5220","contributorId":206589,"corporation":false,"usgs":true,"family":"O’Neil","given":"Shawn","email":"","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":833414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mathews, Steven R. 0000-0002-3165-9460 smathews@usgs.gov","orcid":"https://orcid.org/0000-0002-3165-9460","contributorId":176922,"corporation":false,"usgs":true,"family":"Mathews","given":"Steven","email":"smathews@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":833415,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dahlgren, David K.","contributorId":257565,"corporation":false,"usgs":false,"family":"Dahlgren","given":"David","email":"","middleInitial":"K.","affiliations":[{"id":52056,"text":"Department of Wildland Resources, Jack H. Berryman Institute, S. J. Quinney College of Natural Resources, Utah State University, Logan, UT, USA","active":true,"usgs":false}],"preferred":false,"id":833416,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70228213,"text":"70228213 - 2022 - Invasion of Siberian elm (Ulmus pumila) along the South Platte River: The roles of seed source, human influence, and river geomorphology","interactions":[],"lastModifiedDate":"2022-02-07T15:01:51.228345","indexId":"70228213","displayToPublicDate":"2022-02-07T08:49:38","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Invasion of Siberian elm (<i>Ulmus pumila</i>) along the South Platte River: The roles of seed source, human influence, and river geomorphology","title":"Invasion of Siberian elm (Ulmus pumila) along the South Platte River: The roles of seed source, human influence, and river geomorphology","docAbstract":"<p>Riparian ecosystems in the western USA have been invaded by non-native woody species deliberately introduced for stream bank stabilization, agricultural windbreaks, and urban shade. Recent work suggests that the non-native tree<span>&nbsp;</span><i>Ulmus pumila</i><span>&nbsp;</span>(Siberian elm) is capable of significant spread in western riparian ecosystems, that range infilling is still incomplete, and that the invasion is dispersal-limited. Our objective was to understand the interacting roles of propagule pressure from upland<span>&nbsp;</span><i>U. pumila</i>, human influences, and river geomorphology in promoting riparian<span>&nbsp;</span><i>U. pumila</i><span>&nbsp;</span>invasion along the South Platte River, Colorado, USA. We used linear regression and information-theoretic model selection to evaluate the relative importance of these factors to riparian<span>&nbsp;</span><i>U. pumila</i><span>&nbsp;</span>stem density.<span>&nbsp;</span><i>U. pumila</i><span>&nbsp;</span>stem density increased with increasing channel and floodplain restriction and increasing human influence from both urban and rural development. Model selection indicated that local upland<span>&nbsp;</span><i>U. pumila</i><span>&nbsp;</span>seed sources were relatively unimportant to riparian<span>&nbsp;</span><i>U. pumila</i><span>&nbsp;</span>stem density, suggesting that upland propagule pressure is currently contributing less than other human influences to<span>&nbsp;</span><i>U. pumila</i><span>&nbsp;</span>spread along the South Platte River. In particular, higher road density was the most important predictor for the proportional abundance of smaller<span>&nbsp;</span><i>U. pumila</i><span>&nbsp;</span>individuals (DBH&lt;5-cm and 5-15-cm), suggesting that human influence in densely populated areas has been the primary driver of recent<span>&nbsp;</span><i>U. pumila</i><span>&nbsp;</span>population expansion.<span>&nbsp;</span><i>U. pumila</i><span>&nbsp;</span>stem density was only weakly associated with abundance of other common riparian tree species. Land managers and other entities concerned with non-native tree invasion into important riparian habitat may be able to reduce<span>&nbsp;</span><i>U. pumila</i><span>&nbsp;</span>spread most effectively by focusing<span>&nbsp;</span><i>U. pumila</i><span>&nbsp;</span>control efforts where human influences are greatest.</p>","language":"English","publisher":"Springer","doi":"10.1007/s13157-021-01516-4","usgsCitation":"Reynolds, L., Perry, L., Shafroth, P., Katz, G.L., and Norton, A.S., 2022, Invasion of Siberian elm (Ulmus pumila) along the South Platte River: The roles of seed source, human influence, and river geomorphology: Wetlands, v. 42, p. 1-23, https://doi.org/10.1007/s13157-021-01516-4.","productDescription":"10, 23 p.","startPage":"1","endPage":"23","ipdsId":"IP-129736","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":435979,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S5M1B4","text":"USGS data release","linkHelpText":"Riparian woody stem densities and landscape variables along the South Platte River, Colorado, United States, 2011-2016"},{"id":395527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"South Platte River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.083984375,\n              38.736946065676\n            ],\n            [\n              -102.0355224609375,\n              38.736946065676\n            ],\n            [\n              -102.0355224609375,\n              41.000629848685385\n            ],\n            [\n              -106.083984375,\n              41.000629848685385\n            ],\n            [\n              -106.083984375,\n              38.736946065676\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"42","noUsgsAuthors":false,"publicationDate":"2022-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Reynolds, Lindsay 0000-0001-9973-9312 reynoldsl@usgs.gov","orcid":"https://orcid.org/0000-0001-9973-9312","contributorId":150076,"corporation":false,"usgs":true,"family":"Reynolds","given":"Lindsay","email":"reynoldsl@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":833426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Laura perryl@usgs.gov","contributorId":4345,"corporation":false,"usgs":true,"family":"Perry","given":"Laura","email":"perryl@usgs.gov","affiliations":[],"preferred":true,"id":833427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":225182,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":833428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Katz, Gabrielle L.","contributorId":194352,"corporation":false,"usgs":false,"family":"Katz","given":"Gabrielle","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":833429,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Norton, Andrew S.","contributorId":171631,"corporation":false,"usgs":false,"family":"Norton","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":833430,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}