{"pageNumber":"272","pageRowStart":"6775","pageSize":"25","recordCount":46681,"records":[{"id":70212493,"text":"70212493 - 2019 - Overview, chronology, and impacts of the 2016–2017 eruption of Bogoslof volcano, Alaska","interactions":[],"lastModifiedDate":"2020-08-18T17:20:45.396543","indexId":"70212493","displayToPublicDate":"2019-11-05T12:15:30","publicationYear":"2019","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":"Overview, chronology, and impacts of the 2016–2017 eruption of Bogoslof volcano, Alaska","docAbstract":"

The 2016–2017 eruption of Bogoslof volcano, a back-arc shallow submarine volcano in Alaska’s Aleutian arc, began in December 2016 and included 70 explosive events and at least two episodes of subaerial dome building. Because the volcano had no local monitoring stations during the eruption, a combination of distant seismic stations, regional infrasound sensors, lightning detection, a variety of satellite data and observer reports, and a field visit in 2018, were used to recreate the events that occurred during the nine-month eruption. Following precursory seismicity that started in September 2016, the eruption began in December 2016 with a series of explosive events that persisted through mid-March 2017. After a 6-week hiatus, activity resumed on May 17 and lasted through the end of August 2017 and consisted of additional explosions and two short-lived subaerial lava domes that formed in June and August. For most of the eruption, Bogoslof’s vent was submerged in shallow seawater, though during several of the longer events a subaerial edifice grew, and the vent migrated above sea level resulting in more ash-rich volcanic clouds. Eruptive products, geophysical signals, and eruptive style are all broadly consistent with vulcanian activity where slow magma ascent led to repetitive dome or plug formation, overpressurization in the upper conduit, and sudden release during short-lived explosions. Infiltration of seawater may have prohibited large domes from forming especially in the first half of the eruption when explosions were closely spaced in time. The largest four explosions in the sequence occurred after inter-event times of 10 days or more. Three events produced ashfall on nearby communities and mariners east and south of Bogoslof and the eruption resulted in dozens of flight cancelations and flight diversions around the volcano and its ash clouds.

","language":"English","publisher":"Springer","doi":"10.1007/s00445-019-1322-9","usgsCitation":"Coombs, M.L., Wallace, K.L., Cameron, C., Lyons, J.J., Wech, A., Angeli, K.M., and Cervelli, P., 2019, Overview, chronology, and impacts of the 2016–2017 eruption of Bogoslof volcano, Alaska: Bulletin of Volcanology, v. 81, 62, 23 p., https://doi.org/10.1007/s00445-019-1322-9.","productDescription":"62, 23 p.","ipdsId":"IP-107331","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":377621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Bogoslof volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -169.573974609375,\n 52.859180945520826\n ],\n [\n -165.9869384765625,\n 52.859180945520826\n ],\n [\n -165.9869384765625,\n 54.559322587438636\n ],\n [\n -169.573974609375,\n 54.559322587438636\n ],\n [\n -169.573974609375,\n 52.859180945520826\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"81","noUsgsAuthors":false,"publicationDate":"2019-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Coombs, Michelle L. 0000-0002-6002-6806 mcoombs@usgs.gov","orcid":"https://orcid.org/0000-0002-6002-6806","contributorId":2809,"corporation":false,"usgs":true,"family":"Coombs","given":"Michelle","email":"mcoombs@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallace, Kristi L. 0000-0002-0962-048X kwallace@usgs.gov","orcid":"https://orcid.org/0000-0002-0962-048X","contributorId":3454,"corporation":false,"usgs":true,"family":"Wallace","given":"Kristi","email":"kwallace@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cameron, Cheryl","contributorId":139951,"corporation":false,"usgs":false,"family":"Cameron","given":"Cheryl","affiliations":[{"id":13214,"text":"State of Alaska, Division of Geological and Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":796574,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":796575,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wech, Aaron 0000-0003-4983-1991","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":202561,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796576,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Angeli, Kim M. 0000-0003-2427-3241 kangeli@usgs.gov","orcid":"https://orcid.org/0000-0003-2427-3241","contributorId":238809,"corporation":false,"usgs":true,"family":"Angeli","given":"Kim","email":"kangeli@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796577,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cervelli, Peter 0000-0001-6765-1009","orcid":"https://orcid.org/0000-0001-6765-1009","contributorId":215619,"corporation":false,"usgs":true,"family":"Cervelli","given":"Peter","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796578,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70216114,"text":"70216114 - 2019 - Precision of VS30 values derived from noninvasive surface wave methods at 31 sites in California","interactions":[],"lastModifiedDate":"2020-11-06T13:00:48.262865","indexId":"70216114","displayToPublicDate":"2019-11-05T11:17:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3418,"text":"Soil Dynamics and Earthquake Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Precision of VS30 values derived from noninvasive surface wave methods at 31 sites in California","docAbstract":"We study the inter- and intra-method variability of VS30 results by inverting/forward-modeling individual dispersion data for 31 seismographic stations located in California where combinations of surface-wave methods were applied and the minimum recorded wavelength from each method satisfies the 30-meter depth criteria. These methods consist of noninvasive geophysical (active and passive surface-wave techniques) multi-station approaches, including the Multi-channel Analysis of Surface Waves (MASW; Rayleigh and Love waves), Spectral Analysis of Surface Waves (SASW), Microtremor Array [using Extended Spatial Autocorrelation (ESAC) processing methods], and Refraction Microtremor (ReMi) methods. Depending on the apparent geologic or seismic complexity of the site, field crews applied one or a combination of these methods whenever economically feasible to estimate the one-dimensional shear-wave velocity (VS) profile and calculate VS30, the time-averaged VS to a depth of 30 m. For each of the 31 sites, we find both types of variability in VS30 estimates generally remain insignificant (arithmetic mean of 5 % difference). We also find similar results (3 %) when we evaluate individual-method based VS30 estimates against composite-method based estimates. We note that VS30 values vary insignificantly when using a combination of complementary methods, e.g., active MASW data combined with passive MAM data, and that the most reliable results are also based on close fitting of the theoretical dispersion data to the representative (experimental) dispersion data.","language":"English","publisher":"Elsevier","doi":"10.1016/j.soildyn.2019.105802","usgsCitation":"Yong, A.K., Martin, A., and Boatwright, J., 2019, Precision of VS30 values derived from noninvasive surface wave methods at 31 sites in California: Soil Dynamics and Earthquake Engineering, v. 127, 105802, 13 p., https://doi.org/10.1016/j.soildyn.2019.105802.","productDescription":"105802, 13 p.","ipdsId":"IP-100939","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":380199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.84912109375,\n 32.47269502206151\n ],\n [\n -113.5546875,\n 32.47269502206151\n ],\n [\n -113.5546875,\n 38.06539235133249\n ],\n [\n -122.84912109375,\n 38.06539235133249\n ],\n [\n -122.84912109375,\n 32.47269502206151\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"127","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Yong, Alan K. 0000-0003-1807-5847","orcid":"https://orcid.org/0000-0003-1807-5847","contributorId":244564,"corporation":false,"usgs":true,"family":"Yong","given":"Alan","email":"","middleInitial":"K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":804171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Antony","contributorId":243672,"corporation":false,"usgs":false,"family":"Martin","given":"Antony","affiliations":[],"preferred":false,"id":804172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boatwright, Jack 0000-0002-6931-5241","orcid":"https://orcid.org/0000-0002-6931-5241","contributorId":205346,"corporation":false,"usgs":true,"family":"Boatwright","given":"Jack","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":804173,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70208701,"text":"70208701 - 2019 - Streambed flux measurement informed by distributed temperature sensing leads to a significantly different characterization of groundwater discharge","interactions":[],"lastModifiedDate":"2020-02-25T09:00:17","indexId":"70208701","displayToPublicDate":"2019-11-05T08:58:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Streambed flux measurement informed by distributed temperature sensing leads to a significantly different characterization of groundwater discharge","docAbstract":"Groundwater discharge though streambeds is often focused toward discrete zones, indicating that preliminary reconnaissance may be useful for capturing the full spectrum of groundwater discharge rates using point-scale quantitative methods. However, many direct-contact reconnaissance techniques can be time consuming, and remote sensing (e.g. thermal infrared) typically does not penetrate the water column to locate submerged seepages. In this study we tested whether dozens of groundwater discharge measurements made at \"uninformed\" (i.e., selected without knowledge on high-resolution temperature variations at the streambed) point locations along a reach would yield significantly different Darcy-based groundwater discharge rates when compared with “informed” measurements, focused at streambed thermal anomalies that were identified a-priori using fiber-optic distributed temperature sensing (FO-DTS). A non-parametric U-test showed a significant difference between median discharge rates for uninformed (0.05 m·d-1; n = 30) and informed (0.17 m·d-1; n = 20) measurement locations. Mean values followed a similar pattern (0.12 versus 0.27 m·d-1) and frequency distributions for uninformed and informed measurements were also significantly different based on a Kolmogorov-Smirnov test. Results suggest that even using a quick “snapshot-in-time” field analysis of FO-DTS data can be useful in streambeds with groundwater discharge rates <0.2 m·d-1, a lower threshold than proposed in a previous study. Collectively, study results highlight that FO-DTS is a powerful technique for identifying higher-discharge zones in streambeds, but the pros and cons of informed and uninformed sampling depend in part on groundwater/surface water exchange study goals. For example, studies focused on measuring representative groundwater and solute fluxes may be biased if high-discharge locations are preferentially sampled. However, identification of high-discharge locations may complement more randomized sampling plans and lead to improvements in interpolating streambed fluxes and upscaling point measurements to the stream reach scale.","language":"English","publisher":"MDPI","doi":"10.3390/w11112312","usgsCitation":"Gilmore, T.E., Johnson, M.V., Korus, J., Mittelstet, A.R., Briggs, M.A., Zlotnik, V., and Corcoran, S., 2019, Streambed flux measurement informed by distributed temperature sensing leads to a significantly different characterization of groundwater discharge: Water, v. 11, no. 11, 2312, 15 p., https://doi.org/10.3390/w11112312.","productDescription":"2312, 15 p.","ipdsId":"IP-113096","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":459253,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w11112312","text":"Publisher Index Page"},{"id":372603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-104.053249,41.001406],[-104.053127,43.000585],[-101.849982,42.999329],[-101.625424,42.996238],[-100.472742,42.999288],[-98.49855,42.99856],[-98.490483,42.977948],[-98.467356,42.947556],[-98.448309,42.936428],[-98.444145,42.929242],[-98.437285,42.928393],[-98.430934,42.931504],[-98.42074,42.931924],[-98.34623,42.902747],[-98.325864,42.8865],[-98.280007,42.874996],[-98.25181,42.872824],[-98.219826,42.853157],[-98.189765,42.841628],[-98.167523,42.836925],[-98.14806,42.840013],[-98.137912,42.832728],[-98.127489,42.820127],[-98.107688,42.810633],[-98.094574,42.799309],[-98.067388,42.784759],[-98.062913,42.781119],[-98.059838,42.772772],[-98.056625,42.770781],[-98.035034,42.764205],[-98.013046,42.762299],[-98.005739,42.764167],[-98.000348,42.763256],[-97.977588,42.769923],[-97.950147,42.769619],[-97.936716,42.775754],[-97.921434,42.788352],[-97.908983,42.794909],[-97.888562,42.817251],[-97.879878,42.835395],[-97.878976,42.843673],[-97.875849,42.847725],[-97.877003,42.854394],[-97.875345,42.858724],[-97.84527,42.867734],[-97.828496,42.868797],[-97.817075,42.861781],[-97.774456,42.849774],[-97.72045,42.847439],[-97.686506,42.842435],[-97.657846,42.844626],[-97.611811,42.858367],[-97.603762,42.858329],[-97.591916,42.853837],[-97.561928,42.847552],[-97.531867,42.850105],[-97.504847,42.858477],[-97.49149,42.851625],[-97.470529,42.850455],[-97.452177,42.846048],[-97.442279,42.846224],[-97.431951,42.851542],[-97.417066,42.865918],[-97.408315,42.868334],[-97.393966,42.86425],[-97.376695,42.865195],[-97.368643,42.858419],[-97.359569,42.854816],[-97.336156,42.856802],[-97.306677,42.867604],[-97.289859,42.855499],[-97.267946,42.852583],[-97.248556,42.855386],[-97.218825,42.845848],[-97.217411,42.843519],[-97.218269,42.829561],[-97.213957,42.820143],[-97.213084,42.813007],[-97.210126,42.809296],[-97.200431,42.805485],[-97.166978,42.802087],[-97.150763,42.795566],[-97.138216,42.783428],[-97.134461,42.774494],[-97.131331,42.771929],[-97.096128,42.76934],[-97.065592,42.772189],[-97.033229,42.765904],[-97.02485,42.76243],[-96.99282,42.759481],[-96.97912,42.76009],[-96.96888,42.754278],[-96.96123,42.740623],[-96.965833,42.727096],[-96.964776,42.722455],[-96.961576,42.719841],[-96.948902,42.719465],[-96.924156,42.730327],[-96.906797,42.7338],[-96.886845,42.725222],[-96.860436,42.720797],[-96.843419,42.712024],[-96.806223,42.704154],[-96.801652,42.698774],[-96.800485,42.692466],[-96.802178,42.672237],[-96.800986,42.669758],[-96.793238,42.666024],[-96.76406,42.661985],[-96.746949,42.666223],[-96.728024,42.666882],[-96.691269,42.6562],[-96.687669,42.653126],[-96.687788,42.645992],[-96.709485,42.621932],[-96.711546,42.614758],[-96.7093,42.603753],[-96.681369,42.574486],[-96.658754,42.566426],[-96.643589,42.557604],[-96.63533,42.54764],[-96.632882,42.528987],[-96.628179,42.516963],[-96.625958,42.513576],[-96.611489,42.506088],[-96.603468,42.50446],[-96.591121,42.50541],[-96.567896,42.517877],[-96.548791,42.520547],[-96.538036,42.518131],[-96.528753,42.513273],[-96.520683,42.504761],[-96.515891,42.49427],[-96.508587,42.486691],[-96.501321,42.482749],[-96.478792,42.479635],[-96.443408,42.489495],[-96.423892,42.48898],[-96.396107,42.484095],[-96.386007,42.474495],[-96.381307,42.461694],[-96.380707,42.446394],[-96.387608,42.432494],[-96.413609,42.407894],[-96.41498,42.393442],[-96.408436,42.376092],[-96.417093,42.361443],[-96.417786,42.351449],[-96.413895,42.343393],[-96.407998,42.337408],[-96.384169,42.325874],[-96.375307,42.318339],[-96.369212,42.308344],[-96.368454,42.291848],[-96.365792,42.285875],[-96.356406,42.276493],[-96.336003,42.264806],[-96.328905,42.254734],[-96.327706,42.249992],[-96.330004,42.240224],[-96.322868,42.233637],[-96.323723,42.229887],[-96.336323,42.218922],[-96.356591,42.215182],[-96.35987,42.210545],[-96.348066,42.194747],[-96.347243,42.186721],[-96.350323,42.17744],[-96.347752,42.166806],[-96.33798,42.157197],[-96.319528,42.146647],[-96.310085,42.132523],[-96.301023,42.128042],[-96.279203,42.12348],[-96.2689,42.11359],[-96.266594,42.103262],[-96.267636,42.096177],[-96.276758,42.081416],[-96.279079,42.074026],[-96.278445,42.060399],[-96.275548,42.051976],[-96.271427,42.044988],[-96.263886,42.039858],[-96.256087,42.03808],[-96.246832,42.041616],[-96.238392,42.041088],[-96.225656,42.035217],[-96.221901,42.029558],[-96.223611,42.022652],[-96.238859,42.012315],[-96.241932,42.006965],[-96.240713,41.999351],[-96.236487,41.996428],[-96.225463,41.994734],[-96.215225,42.006701],[-96.206083,42.009267],[-96.194556,42.008662],[-96.188067,42.006323],[-96.183568,41.999987],[-96.192141,41.984461],[-96.186265,41.977417],[-96.177203,41.976325],[-96.156538,41.980137],[-96.141228,41.978063],[-96.129505,41.971673],[-96.129186,41.965136],[-96.133318,41.955732],[-96.144583,41.941544],[-96.136613,41.927167],[-96.136743,41.920826],[-96.142265,41.915379],[-96.159098,41.910057],[-96.161988,41.905553],[-96.161756,41.90182],[-96.148826,41.888132],[-96.146083,41.874988],[-96.142045,41.868865],[-96.135253,41.863128],[-96.116202,41.854869],[-96.110246,41.84885],[-96.107911,41.840339],[-96.11081,41.828172],[-96.107592,41.820685],[-96.09827,41.814206],[-96.075548,41.807811],[-96.069662,41.803509],[-96.064879,41.79623],[-96.066413,41.788913],[-96.077543,41.777824],[-96.079915,41.757895],[-96.084673,41.753314],[-96.102772,41.746339],[-96.106425,41.73789],[-96.105582,41.731647],[-96.10261,41.728016],[-96.079682,41.717962],[-96.073376,41.710674],[-96.073063,41.705004],[-96.082429,41.698159],[-96.090579,41.697425],[-96.105119,41.699917],[-96.111968,41.697773],[-96.117751,41.694221],[-96.121401,41.688522],[-96.120983,41.677861],[-96.114978,41.67122],[-96.099837,41.66103],[-96.095415,41.652736],[-96.095046,41.647365],[-96.100701,41.635507],[-96.116233,41.621574],[-96.117558,41.609999],[-96.109387,41.596871],[-96.101496,41.59158],[-96.085771,41.585746],[-96.081152,41.577289],[-96.082406,41.571229],[-96.093613,41.558271],[-96.096186,41.547192],[-96.09409,41.539265],[-96.08822,41.530595],[-96.07307,41.525052],[-96.05369,41.508859],[-96.040701,41.507076],[-96.036603,41.509047],[-96.034305,41.512853],[-96.027289,41.541081],[-96.023182,41.544364],[-96.016474,41.546085],[-96.005079,41.544004],[-96.001161,41.541146],[-95.993891,41.523412],[-95.992833,41.512002],[-95.997903,41.504789],[-96.019224,41.489296],[-96.019542,41.486617],[-96.011757,41.476212],[-96.004708,41.472342],[-95.982962,41.469778],[-95.962329,41.46281],[-95.946465,41.466166],[-95.936801,41.46519],[-95.925713,41.459382],[-95.920281,41.451566],[-95.921833,41.442062],[-95.933169,41.42943],[-95.929721,41.411331],[-95.93749,41.393095],[-95.92879,41.370096],[-95.93099,41.364696],[-95.93549,41.360596],[-95.954891,41.351796],[-95.956691,41.345496],[-95.946891,41.334096],[-95.92569,41.322197],[-95.88869,41.319097],[-95.883089,41.316697],[-95.874689,41.307097],[-95.871489,41.295797],[-95.872889,41.289497],[-95.88239,41.281397],[-95.90249,41.273398],[-95.912491,41.279498],[-95.90429,41.293497],[-95.90429,41.299597],[-95.920291,41.301097],[-95.927491,41.298397],[-95.929591,41.292297],[-95.928691,41.281398],[-95.913991,41.271398],[-95.920391,41.268398],[-95.921891,41.264598],[-95.921291,41.258498],[-95.910891,41.233998],[-95.912591,41.226998],[-95.924891,41.211198],[-95.927491,41.202198],[-95.923219,41.191046],[-95.91459,41.185098],[-95.864789,41.188298],[-95.850188,41.184798],[-95.844088,41.180598],[-95.841288,41.174998],[-95.841888,41.171098],[-95.846188,41.166698],[-95.852788,41.165398],[-95.867344,41.168734],[-95.871912,41.168122],[-95.880936,41.160269],[-95.883489,41.154898],[-95.882088,41.143998],[-95.865888,41.117898],[-95.86545,41.101266],[-95.862587,41.088399],[-95.865463,41.080367],[-95.878103,41.069587],[-95.882415,41.060411],[-95.879487,41.053299],[-95.861782,41.039427],[-95.859654,41.035695],[-95.859918,41.025403],[-95.869486,41.009399],[-95.867286,41.001599],[-95.860116,40.995242],[-95.838908,40.986484],[-95.833537,40.98266],[-95.829074,40.975688],[-95.829829,40.963857],[-95.837951,40.950618],[-95.839743,40.93278],[-95.836438,40.921642],[-95.830699,40.915004],[-95.814302,40.902936],[-95.809775,40.895447],[-95.809474,40.891228],[-95.815933,40.879846],[-95.824989,40.875],[-95.838735,40.872191],[-95.844073,40.869248],[-95.847785,40.864328],[-95.847084,40.854174],[-95.837186,40.835347],[-95.838601,40.826175],[-95.843921,40.817686],[-95.845342,40.811324],[-95.843745,40.803783],[-95.834523,40.787778],[-95.835232,40.779151],[-95.84662,40.768619],[-95.869982,40.759645],[-95.883643,40.747831],[-95.888697,40.736292],[-95.885349,40.721093],[-95.883178,40.717579],[-95.859378,40.708055],[-95.852615,40.702262],[-95.847931,40.694197],[-95.846034,40.682605],[-95.842801,40.677496],[-95.822913,40.66724],[-95.804307,40.664886],[-95.786568,40.657253],[-95.772832,40.642496],[-95.768926,40.621264],[-95.749685,40.606842],[-95.748858,40.599965],[-95.753148,40.59284],[-95.768527,40.583296],[-95.773549,40.578205],[-95.774704,40.573574],[-95.763833,40.553873],[-95.763624,40.548298],[-95.769281,40.536656],[-95.76692,40.531563],[-95.762857,40.528371],[-95.74868,40.524275],[-95.73725,40.52393],[-95.725214,40.527773],[-95.714291,40.527208],[-95.708591,40.521551],[-95.69721,40.528477],[-95.69505,40.533124],[-95.697281,40.536985],[-95.694147,40.556942],[-95.678718,40.56256],[-95.671754,40.562626],[-95.665486,40.556686],[-95.662097,40.549959],[-95.655848,40.546609],[-95.652262,40.538114],[-95.655674,40.523557],[-95.661687,40.517309],[-95.699969,40.505275],[-95.694726,40.493602],[-95.696756,40.478849],[-95.694651,40.471452],[-95.671742,40.456695],[-95.65819,40.44188],[-95.65563,40.434736],[-95.661463,40.415947],[-95.659134,40.40869],[-95.643934,40.386849],[-95.641027,40.366399],[-95.627124,40.3528],[-95.623728,40.346567],[-95.622704,40.340856],[-95.625204,40.334288],[-95.633807,40.329297],[-95.653729,40.322582],[-95.657764,40.315788],[-95.657328,40.310856],[-95.651507,40.306684],[-95.645329,40.305693],[-95.617931,40.313728],[-95.610439,40.31397],[-95.598657,40.309809],[-95.581787,40.29958],[-95.562157,40.297359],[-95.55162,40.288666],[-95.551488,40.281061],[-95.556275,40.270761],[-95.552473,40.261904],[-95.521925,40.24947],[-95.490333,40.248966],[-95.477501,40.24272],[-95.472548,40.236078],[-95.469718,40.227908],[-95.471393,40.217333],[-95.482319,40.200667],[-95.48254,40.192283],[-95.479193,40.185652],[-95.460746,40.169173],[-95.442818,40.163261],[-95.436348,40.15872],[-95.432165,40.141025],[-95.428749,40.135577],[-95.419186,40.130586],[-95.409481,40.130052],[-95.398667,40.126419],[-95.393347,40.119212],[-95.394216,40.108263],[-95.407591,40.09803],[-95.410643,40.091531],[-95.408455,40.079158],[-95.409856,40.07432],[-95.418345,40.066509],[-95.42164,40.058952],[-95.41932,40.048442],[-95.413588,40.038424],[-95.402665,40.030567],[-95.391527,40.027058],[-95.382957,40.027112],[-95.363983,40.031498],[-95.348777,40.029297],[-95.336242,40.019104],[-95.315271,40.01207],[-95.311163,40.007806],[-95.30829,39.999998],[-98.193483,40.002614],[-99.756835,40.001342],[-102.051744,40.003078],[-102.051614,41.002377],[-104.053249,41.001406]]]},\"properties\":{\"name\":\"Nebraska\",\"nation\":\"USA \"}}]}","volume":"11","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Gilmore, Troy E.","contributorId":187443,"corporation":false,"usgs":false,"family":"Gilmore","given":"Troy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":783081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Mari-Vaughn V. 0000-0002-2944-2529","orcid":"https://orcid.org/0000-0002-2944-2529","contributorId":189195,"corporation":false,"usgs":false,"family":"Johnson","given":"Mari-Vaughn","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":783082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Korus, J","contributorId":222753,"corporation":false,"usgs":false,"family":"Korus","given":"J","email":"","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":783083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mittelstet, Aaron R.","contributorId":177015,"corporation":false,"usgs":false,"family":"Mittelstet","given":"Aaron","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":783084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":783080,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zlotnik, V.","contributorId":222754,"corporation":false,"usgs":false,"family":"Zlotnik","given":"V.","email":"","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":783085,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Corcoran, S.","contributorId":222755,"corporation":false,"usgs":false,"family":"Corcoran","given":"S.","email":"","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":783086,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70208865,"text":"70208865 - 2019 - Effects of invasive plants on fire regimes and postfire vegetation diversity in an arid ecosystem","interactions":[],"lastModifiedDate":"2020-03-03T14:09:02","indexId":"70208865","displayToPublicDate":"2019-11-04T14:06:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Effects of invasive plants on fire regimes and postfire vegetation diversity in an arid ecosystem","docAbstract":"We assessed the impacts of co‐occurring invasive plant species on fire regimes and postfire native communities in the Mojave Desert, western USA. We analyzed the distribution and co‐occurrence patterns of three invasive annual grasses (Bromus rubens, Bromus tectorum, and Schismus spp.) known to alter fuel conditions and community structure, and an invasive forb (Erodium cicutarium) which dominates postfire sites. We developed species distribution models (SDMs) for each of the four taxa and analyzed field plot data to assess the relationship between invasives and fire frequency, years postfire, and the impacts on postfire native herbaceous diversity. Most of the Mojave Desert is highly suitable for at least one of the four invasive species, and 76% of the ecoregion is predicted to have high or very high suitability for the joint occurrence of B. rubens and B. tectorum and 42% high or very high suitability for the joint occurrence of the two Bromus species and E. cicutarium. Analysis of cover from plot data indicated two or more of the species occurred in 77% of the plots, with their cover doubling with each additional species. We found invasive cover in burned plots increased for the first 20 years postfire and recorded two to five times more cover in burned than unburned plots. Analysis also indicated that native species diversity and evenness as negatively associated with higher levels of relative cover of the four invasive taxa. Our findings revealed overlapping distributions of the four invasives; a strong relationship between the invasives and fire frequency; and significant negative impacts of invasives on native herbaceous diversity in the Mojave. This suggests predicting the distributions of co‐occurring invasive species, especially transformer species, will provide a better understanding of where native‐dominated communities are most vulnerable to transformations following fire or other disturbances.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5650","usgsCitation":"Underwood, E., Klinger, R.C., and Brooks, M.L., 2019, Effects of invasive plants on fire regimes and postfire vegetation diversity in an arid ecosystem: Ecology and Evolution, v. 9, no. 22, p. 12421-12435, https://doi.org/10.1002/ece3.5650.","productDescription":"15 p.","startPage":"12421","endPage":"12435","ipdsId":"IP-112629","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":459266,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5650","text":"Publisher Index Page"},{"id":437289,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GUST4Q","text":"USGS data release","linkHelpText":"Invasive Plant Cover in the Mojave Desert, 2009 - 2013 (ver. 2.0, April 2021)"},{"id":372874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.3946533203125,\n 33.65578083204094\n ],\n [\n -114.70275878906249,\n 33.280027811732154\n ],\n [\n -114.40612792968749,\n 35.14686290675633\n ],\n [\n -115.77941894531249,\n 35.92464453144099\n ],\n [\n -116.70227050781249,\n 35.420391545750746\n ],\n [\n -117.32299804687499,\n 34.985003130171066\n ],\n [\n -116.83959960937499,\n 34.347971491244955\n ],\n [\n -116.3946533203125,\n 33.65578083204094\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"22","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Underwood, Emma C.","contributorId":204451,"corporation":false,"usgs":false,"family":"Underwood","given":"Emma C.","affiliations":[],"preferred":false,"id":783733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klinger, Robert C. 0000-0003-3193-3199 rcklinger@usgs.gov","orcid":"https://orcid.org/0000-0003-3193-3199","contributorId":5395,"corporation":false,"usgs":true,"family":"Klinger","given":"Robert","email":"rcklinger@usgs.gov","middleInitial":"C.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783732,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70216081,"text":"70216081 - 2019 - Changes in long-term water quality of Baltimore streams are associated with both gray and green infrastructure","interactions":[],"lastModifiedDate":"2020-11-05T12:52:08.022489","indexId":"70216081","displayToPublicDate":"2019-11-04T12:16:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7348,"text":"Limnology and Oceanography journal","active":true,"publicationSubtype":{"id":10}},"title":"Changes in long-term water quality of Baltimore streams are associated with both gray and green infrastructure","docAbstract":"The steadily rising global urban population has placed substantial strain on urban water quality, and this strain is projected to increase for the foreseeable future. Considerable attention has been given to the hydrological and physico-chemical effects of urbanization on stream ecosystems. However, due to the relative infancy of the field of urban ecology, long-term water quality analyses in urban streams are sparse. Using a 15-year stream chemistry monitoring record from Baltimore, MD, USA, we quantified long-term trends in nitrate, phosphate, total nitrogen, total phosphorus, chloride, and sulfate export at several sites along a rural-urban gradient. We found no significant change in solute export at most sites, although we did find specific patterns of interest for certain solutes. For example, nitrogen export declined at the most headwater urban site, while phosphorus export declined at the most downstream urban site. Coupling long-term monitoring with data on gray and green infrastructure management throughout the landscape, we established relationships between solute export at the most downstream urban monitoring site and sanitary sewer overflows (SSOs), best management practice (BMP) implementation, and road salt application rates. Phosphorus export was correlated with BMP implementation in the watershed, whereas nitrogen export was related to SSOs. Despite highly urbanized watersheds, water quality does not appear to be declining at most of these sites, suggesting that current management may have limited further impairment. Results of our study suggest that both gray and green infrastructure are key for maintaining and improving water quality in this highly urbanized watershed.","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.10947","usgsCitation":"Reisinger, A.J., Woytowitz, E., Majcher, E.H., Rosi, E.J., Belt, K., Duncan, J.M., Kaushal, S., and Groffman, P.M., 2019, Changes in long-term water quality of Baltimore streams are associated with both gray and green infrastructure: Limnology and Oceanography journal, v. 64, no. S1, p. S60-S76, https://doi.org/10.1002/lno.10947.","productDescription":"17 p.","startPage":"S60","endPage":"S76","ipdsId":"IP-094791","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":459272,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.10947","text":"Publisher Index Page"},{"id":380166,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","county":"Baltimore","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.2835693359375,\n 39.33854604847979\n ],\n [\n -76.53076171875,\n 39.52946653645165\n ],\n [\n -76.92626953125,\n 39.52522954427751\n ],\n [\n -77.0855712890625,\n 39.317300373271024\n ],\n [\n -76.8548583984375,\n 39.095962936305476\n ],\n [\n -76.5032958984375,\n 39.036252959636606\n ],\n [\n -76.2835693359375,\n 39.33854604847979\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"64","issue":"S1","noUsgsAuthors":false,"publicationDate":"2018-07-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Reisinger, Alexander J. 0000-0003-4096-2637","orcid":"https://orcid.org/0000-0003-4096-2637","contributorId":203337,"corporation":false,"usgs":false,"family":"Reisinger","given":"Alexander","email":"","middleInitial":"J.","affiliations":[{"id":36601,"text":"Soil and Water Sciences Department, University of Florida, Gainesville, FL 32611","active":true,"usgs":false}],"preferred":false,"id":803950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woytowitz, Ellen L 0000-0001-9880-8160","orcid":"https://orcid.org/0000-0001-9880-8160","contributorId":244446,"corporation":false,"usgs":false,"family":"Woytowitz","given":"Ellen L","affiliations":[{"id":48912,"text":"formerly USGS Maryland WSC","active":true,"usgs":false}],"preferred":false,"id":803951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Majcher, Emily H. 0000-0001-7144-6809","orcid":"https://orcid.org/0000-0001-7144-6809","contributorId":203335,"corporation":false,"usgs":true,"family":"Majcher","given":"Emily","middleInitial":"H.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803952,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosi, Emma J.","contributorId":201758,"corporation":false,"usgs":false,"family":"Rosi","given":"Emma","email":"","middleInitial":"J.","affiliations":[{"id":36248,"text":"Cary Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":803953,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Belt, Kenneth T.","contributorId":210142,"corporation":false,"usgs":false,"family":"Belt","given":"Kenneth T.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":803954,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duncan, Jonathan M.","contributorId":207569,"corporation":false,"usgs":false,"family":"Duncan","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":803955,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kaushal, Sujay S.","contributorId":210125,"corporation":false,"usgs":false,"family":"Kaushal","given":"Sujay S.","affiliations":[{"id":38074,"text":"Univ. of Maryland","active":true,"usgs":false}],"preferred":false,"id":803956,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Groffman, Peter M. 0000-0001-8371-6255","orcid":"https://orcid.org/0000-0001-8371-6255","contributorId":203338,"corporation":false,"usgs":false,"family":"Groffman","given":"Peter","email":"","middleInitial":"M.","affiliations":[{"id":36602,"text":"City University of New York, Advanced Science Research Center and Brooklyn College, Department of Earth & Environmental Sciences, New York, NY","active":true,"usgs":false}],"preferred":false,"id":803957,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70227146,"text":"70227146 - 2019 - Adapting to climate change: Guidance for the management of inland glacial lake fisheries","interactions":[],"lastModifiedDate":"2022-01-03T15:09:00.42837","indexId":"70227146","displayToPublicDate":"2019-11-04T09:01:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Adapting to climate change: Guidance for the management of inland glacial lake fisheries","docAbstract":"

Climate change is altering glacial lake fisheries in the United States, presenting a complex challenge for fisheries managers. Here we provide a regional perspective to guide management of heterogeneous and yet interdependent fishery resources in glacial lakes of the upper Midwest. Our main objective was to promote the adaptation of inland glacial lakes fisheries management to climate change by outlining processes that support regional plans. Using examples from the glacial lakes region, we outline an approach for regional prioritization, specify strategies for moving from regional prioritization to on-the-ground action, and provide guidance on the implementation of management plans given resource limitations and potential stakeholder conflict. We find that integrating ecological, social, and economic data with climate change vulnerability assessments can be useful in generating “lake-priority levels” to help identify where to focus actions to support system resilience. Managers can use lake-priority levels and ecosystem-specific strategies to make decisions about where and when to apply fisheries management action ranging from traditional (i.e., stocking, harvest regulations) to nontraditional approaches (i.e., catchment land management). Although the implementation of several approaches may be beyond an agency’s financial and logistical capacity, funds can be secured through other sources ranging from grant programs to nontraditional partnerships identified by “thinking outside the lake.” Regional plans may be an important step toward successful climate adaptation for inland glacial lakes fisheries management, and the proactive efforts of managers may help facilitate their development and implementation.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10402381.2019.1678535","usgsCitation":"Tingley, R., Paukert, C.P., Sass, G.G., Jacobson, P.C., Hansen, G.J., Lynch, A., and Shannon, P., 2019, Adapting to climate change: Guidance for the management of inland glacial lake fisheries: Lake and Reservoir Management, v. 35, no. 4, p. 435-452, https://doi.org/10.1080/10402381.2019.1678535.","productDescription":"18 p.","startPage":"435","endPage":"452","ipdsId":"IP-107299","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":393739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Minnesota, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.3642578125,\n 41.60722821271717\n ],\n [\n -82.37548828125,\n 43.14909399920127\n ],\n [\n -83.29833984375,\n 45.3521452458518\n ],\n [\n -83.7158203125,\n 46.28622391806706\n ],\n [\n -85.05615234375,\n 46.89023157359399\n ],\n [\n -87.890625,\n 47.66538735632654\n ],\n [\n -89.58251953125,\n 48.04870994288686\n ],\n [\n -91.0546875,\n 48.268569112964336\n ],\n [\n -91.69189453125,\n 48.1367666796927\n ],\n [\n -92.30712890625,\n 48.40003249610685\n ],\n [\n -94.72412109375,\n 48.79239019646406\n ],\n [\n -94.833984375,\n 49.36806633482156\n ],\n [\n -95.11962890625,\n 49.453842594330716\n ],\n [\n -95.29541015625,\n 48.96579381461063\n ],\n [\n -97.294921875,\n 49.05227025601607\n ],\n [\n -96.70166015624999,\n 46.619261036171515\n ],\n [\n -96.87744140625,\n 45.521743896993634\n ],\n [\n -96.43798828125,\n 45.30580259943578\n ],\n [\n -96.416015625,\n 43.6599240747891\n ],\n [\n -91.14257812499999,\n 43.58039085560784\n ],\n [\n -91.12060546875,\n 42.73087427928485\n ],\n [\n -90.615234375,\n 42.50450285299051\n ],\n [\n -87.82470703125,\n 42.53689200787315\n ],\n [\n -86.50634765625,\n 41.85319643776675\n ],\n [\n -83.408203125,\n 41.705728515237524\n ],\n [\n -83.3642578125,\n 41.60722821271717\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Tingley, R.W.","contributorId":270696,"corporation":false,"usgs":false,"family":"Tingley","given":"R.W.","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":829781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paukert, Craig P. 0000-0002-9369-8545","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":245524,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","middleInitial":"P.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":829782,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sass, G. G.","contributorId":270697,"corporation":false,"usgs":false,"family":"Sass","given":"G.","email":"","middleInitial":"G.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":829783,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacobson, P. C.","contributorId":270698,"corporation":false,"usgs":false,"family":"Jacobson","given":"P.","email":"","middleInitial":"C.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":829784,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansen, G. J. A.","contributorId":270699,"corporation":false,"usgs":false,"family":"Hansen","given":"G.","email":"","middleInitial":"J. A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":829785,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lynch, Abigail 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":220490,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":829786,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shannon, P. D.","contributorId":270700,"corporation":false,"usgs":false,"family":"Shannon","given":"P. D.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":829787,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70206068,"text":"fs20193066 - 2019 - 2019 Disaster Relief Act: USGS recovery activities","interactions":[],"lastModifiedDate":"2019-11-04T09:18:32","indexId":"fs20193066","displayToPublicDate":"2019-11-04T07:20:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3066","displayTitle":"2019 Disaster Relief Act: USGS Recovery Activities","title":"2019 Disaster Relief Act: USGS recovery activities","docAbstract":"

The Additional Supplemental Appropriations for Disaster Relief Act of 2019 (H.R. 2157) was signed by the President on June 6, 2019. The U.S. Geological Survey received $98.5 million for repair and replacement of facilities and equipment, collection of high-resolution elevation data in affected areas, and scientific assessments to support recovery and rebuilding decisions for declared disasters in 2018 from the Kīlauea volcano eruption, Hurricanes Florence and Michael, the Anchorage earthquake, and California wildfires.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193066","usgsCitation":"Hinck, J.E., and Stachyra, J., 2019, 2019 Disaster Relief Act—USGS recovery activities: U.S. Geological Survey Fact Sheet 2019–3066, 4 p., https://doi.org/10.3133/fs20193066.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-111159","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":368866,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3066/coverthb.jpg"},{"id":368865,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3066/fs20193066.pdf","text":"Report","size":"1.81 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3066"}],"country":"United States","contact":"

Associate Director, Natural Hazards Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2019-11-01","noUsgsAuthors":false,"publicationDate":"2019-11-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Hinck, Jo Ellen 0000-0002-4912-5766 jhinck@usgs.gov","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":2743,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"jhinck@usgs.gov","middleInitial":"Ellen","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":773473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stachyra, Joseph 0000-0002-1153-1742","orcid":"https://orcid.org/0000-0002-1153-1742","contributorId":207885,"corporation":false,"usgs":true,"family":"Stachyra","given":"Joseph","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":773532,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70208419,"text":"70208419 - 2019 - Overhauling ocean spatial planning to improve marine megafauna conservation","interactions":[],"lastModifiedDate":"2020-02-09T13:30:28","indexId":"70208419","displayToPublicDate":"2019-11-01T13:23:56","publicationYear":"2019","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":"Overhauling ocean spatial planning to improve marine megafauna conservation","docAbstract":"Tracking data have led to evidence-based conservation of marine megafauna, but a disconnect remains between the many thousands of individual animals that have been tracked and the use of these data in conservation and management actions. Furthermore, the focus of most conservation efforts is within Exclusive Economic Zones despite the ability of these species to move thousands of kilometres across multiple national jurisdictions. To assist the goal of the United Nations General Assembly’s recent effort to negotiate a global treaty to conserve biodiversity on the high seas, we propose the development of a new frontier in dynamic marine spatial management. We argue that a global approach combining tracked movements of marine megafauna and human activities at-sea, and using existing and emerging technologies (e.g., through new tracking devices and big data approaches) can be applied to deliver near real-time diagnostics on existing risks and threats to mitigate global risks for marine megafauna. With technology developments over the next decade expected to catalyse the potential to survey marine animals and human activities in ever more detail and at global scales, the development of dynamic predictive tools based on near real-time tracking and environmental data will become crucial to address increasing risks. Such global tools for dynamic spatial and temporal management will, however, require extensive synoptic data updates and will be dependent on a shift to a culture of data sharing and open access. We propose a global mechanism to store and make such data available in near real-time, enabling a holistic view of space use by marine megafauna and humans that would significantly accelerate efforts to mitigate impacts and improve conservation and management of marine megafauna.","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2019.00639","usgsCitation":"Sequeira, A.M., Hays, G.C., Sims, D.W., Eguiluz, V.M., Rodriguez, J.P., Heupel, M.R., Harcourt, R.G., Calich, H.J., Queiroz, N., Costa, D.P., Fernandez-Gracia, J., Ferreira, L.C., Goldsworthy, S.D., Hindell, M., Lea, M., Meekan, M.G., Pagano, A.M., Shaffer, S.A., Reisser, J., Thums, M., Weise, M., and Duarte, C.M., 2019, Overhauling ocean spatial planning to improve marine megafauna conservation: Frontiers in Marine Science, v. 6, no. 639, 12 p., https://doi.org/10.3389/fmars.2019.00639.","productDescription":"12 p.","ipdsId":"IP-102735","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":459279,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2019.00639","text":"Publisher Index Page"},{"id":372174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"639","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Sequeira, Ana M. M.","contributorId":222278,"corporation":false,"usgs":false,"family":"Sequeira","given":"Ana","email":"","middleInitial":"M. M.","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":781793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hays, Graeme C.","contributorId":222279,"corporation":false,"usgs":false,"family":"Hays","given":"Graeme","email":"","middleInitial":"C.","affiliations":[{"id":27944,"text":"Deakin University","active":true,"usgs":false}],"preferred":false,"id":781794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sims, David W.","contributorId":222283,"corporation":false,"usgs":false,"family":"Sims","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":37595,"text":"Marine Biological Association of the United Kingdom","active":true,"usgs":false}],"preferred":false,"id":781799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eguiluz, Victor M.","contributorId":222280,"corporation":false,"usgs":false,"family":"Eguiluz","given":"Victor","email":"","middleInitial":"M.","affiliations":[{"id":37594,"text":"Instituto de Física Interdisciplinar y Sistemas Complejos","active":true,"usgs":false}],"preferred":false,"id":781795,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodriguez, Jorge P.","contributorId":222281,"corporation":false,"usgs":false,"family":"Rodriguez","given":"Jorge","email":"","middleInitial":"P.","affiliations":[{"id":37594,"text":"Instituto de Física Interdisciplinar y Sistemas Complejos","active":true,"usgs":false}],"preferred":false,"id":781796,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heupel, Michelle R.","contributorId":189589,"corporation":false,"usgs":false,"family":"Heupel","given":"Michelle","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":781797,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harcourt, Robert G.","contributorId":222282,"corporation":false,"usgs":false,"family":"Harcourt","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":16788,"text":"Macquarie University","active":true,"usgs":false}],"preferred":false,"id":781798,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Calich, Hannah J.","contributorId":222284,"corporation":false,"usgs":false,"family":"Calich","given":"Hannah","email":"","middleInitial":"J.","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":781800,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Queiroz, Nuno","contributorId":222285,"corporation":false,"usgs":false,"family":"Queiroz","given":"Nuno","email":"","affiliations":[{"id":37595,"text":"Marine Biological Association of the United Kingdom","active":true,"usgs":false}],"preferred":false,"id":781801,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Costa, Daniel P.","contributorId":141212,"corporation":false,"usgs":false,"family":"Costa","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":781802,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fernandez-Gracia, Juan","contributorId":222286,"corporation":false,"usgs":false,"family":"Fernandez-Gracia","given":"Juan","email":"","affiliations":[{"id":37594,"text":"Instituto de Física Interdisciplinar y Sistemas Complejos","active":true,"usgs":false}],"preferred":false,"id":781803,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ferreira, Luciana C.","contributorId":222287,"corporation":false,"usgs":false,"family":"Ferreira","given":"Luciana","email":"","middleInitial":"C.","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":781804,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Goldsworthy, Simon D.","contributorId":222288,"corporation":false,"usgs":false,"family":"Goldsworthy","given":"Simon","email":"","middleInitial":"D.","affiliations":[{"id":37598,"text":"South Australian Research and Development Institute","active":true,"usgs":false}],"preferred":false,"id":781805,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hindell, Mark","contributorId":222289,"corporation":false,"usgs":false,"family":"Hindell","given":"Mark","affiliations":[{"id":16141,"text":"University of Tasmania","active":true,"usgs":false}],"preferred":false,"id":781806,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lea, Mary-Anne","contributorId":222319,"corporation":false,"usgs":false,"family":"Lea","given":"Mary-Anne","email":"","affiliations":[],"preferred":false,"id":781874,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Meekan, Mark G.","contributorId":222290,"corporation":false,"usgs":false,"family":"Meekan","given":"Mark","email":"","middleInitial":"G.","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":781807,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Pagano, Anthony M. 0000-0003-2176-0909 apagano@usgs.gov","orcid":"https://orcid.org/0000-0003-2176-0909","contributorId":3884,"corporation":false,"usgs":true,"family":"Pagano","given":"Anthony","email":"apagano@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":781792,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Shaffer, Scott A. 0000-0002-7751-5059","orcid":"https://orcid.org/0000-0002-7751-5059","contributorId":202761,"corporation":false,"usgs":false,"family":"Shaffer","given":"Scott","email":"","middleInitial":"A.","affiliations":[{"id":24620,"text":"San Jose State University","active":true,"usgs":false}],"preferred":false,"id":781875,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Reisser, Julia","contributorId":222292,"corporation":false,"usgs":false,"family":"Reisser","given":"Julia","email":"","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":781809,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Thums, Michele","contributorId":222293,"corporation":false,"usgs":false,"family":"Thums","given":"Michele","email":"","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":781810,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Weise, Michael J","contributorId":156319,"corporation":false,"usgs":false,"family":"Weise","given":"Michael J","affiliations":[{"id":20312,"text":"US Navy, Office of Naval Research","active":true,"usgs":false}],"preferred":false,"id":781876,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Duarte, Carlos M.","contributorId":222294,"corporation":false,"usgs":false,"family":"Duarte","given":"Carlos","email":"","middleInitial":"M.","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":781811,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}} ,{"id":70215879,"text":"70215879 - 2019 - Copula theory as a generalized framework for flow-duration curve-based streamflow estimates in ungaged and partially gaged catchments","interactions":[],"lastModifiedDate":"2025-09-23T14:50:07.929518","indexId":"70215879","displayToPublicDate":"2019-11-01T12:28:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Copula theory as a generalized framework for flow-duration curve-based streamflow estimates in ungaged and partially gaged catchments","docAbstract":"

Flow‐duration curve (FDC) based streamflow estimation methods involve estimating an FDC at an ungaged or partially gaged location and using the time series of nonexceedance probabilities estimated from donor streamgage sites to generate estimates of streamflow. We develop a mathematical framework to illustrate the connection between copulas and prior FDC‐based approaches. The performance of copula methods is compared to several other streamflow estimation methods using a decade of daily streamflow data from 74 sites located within two river basins in the southeast United States with different climate characteristics and physiographic properties. We show that copula approaches: (1) outperform other methods in the limiting case of perfect information with regard to the rank‐based correlation structure and FDCs across the gaging network; (2) provide a hedge against poor performance when donor information becomes sparser and less informative; (3) outperform other methods when used for partially gaged sites with several years of available data; and (4) remain a competitive albeit nondominating method for ungaged sites and partially gaged sites with limited data when realistic error is introduced in the estimation of FDCs and correlations across the gaging network.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019WR025138","usgsCitation":"Worland, S.C., Steinschneider, S., Farmer, W., Asquith, W.H., and Knight, R., 2019, Copula theory as a generalized framework for flow-duration curve-based streamflow estimates in ungaged and partially gaged catchments: Water Resources Research, v. 55, no. 11, p. 9378-9397, https://doi.org/10.1029/2019WR025138.","productDescription":"19 p.","startPage":"9378","endPage":"9397","ipdsId":"IP-104859","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":459281,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019wr025138","text":"Publisher Index Page"},{"id":379982,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"11","noUsgsAuthors":false,"publicationDate":"2019-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Worland, Scott C. 0000-0001-6384-2457 scworland@usgs.gov","orcid":"https://orcid.org/0000-0001-6384-2457","contributorId":5802,"corporation":false,"usgs":true,"family":"Worland","given":"Scott","email":"scworland@usgs.gov","middleInitial":"C.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steinschneider, Scott 0000-0002-8882-1908","orcid":"https://orcid.org/0000-0002-8882-1908","contributorId":206359,"corporation":false,"usgs":false,"family":"Steinschneider","given":"Scott","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":803604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farmer, William H. 0000-0002-2865-2196","orcid":"https://orcid.org/0000-0002-2865-2196","contributorId":223181,"corporation":false,"usgs":true,"family":"Farmer","given":"William H.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":803605,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803606,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knight, Rodney 0000-0001-9588-0167 rrknight@usgs.gov","orcid":"https://orcid.org/0000-0001-9588-0167","contributorId":152422,"corporation":false,"usgs":true,"family":"Knight","given":"Rodney","email":"rrknight@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803607,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70226698,"text":"70226698 - 2019 - Tidal erosion and upstream sediment trapping modulate records of land-use change in a formerly glaciated New England estuary","interactions":[],"lastModifiedDate":"2021-12-07T12:35:38.829973","indexId":"70226698","displayToPublicDate":"2019-11-01T06:32:41","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9939,"text":"Anthropocene Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Tidal erosion and upstream sediment trapping modulate records of land-use change in a formerly glaciated New England estuary","docAbstract":"
Land clearing, river impoundments, and other human modifications to the upland landscape and within estuarine systems can drive coastal change at local to regional scales. However, as compared with mid-latitude coasts, the impacts of human modifications along sediment-starved formerly glaciated coastal landscapes are relatively understudied. To address this gap, we present a late-Holocene record of changing sediment accumulation rates and sediment sources from sediment cores collected across a tidal flat in the Merrimack River estuary (Mass., USA). We pair sedimentology, geochronology, bulk- and stable-isotope organic geochemistry, and hydrodynamic simulations with historical data to evaluate human and natural impacts on coastal sediment fluxes. During the 17th to 19th centuries, accumulation rates increased by an order of magnitude in the central tidal flat, likely in response to enhanced delivery of terrestrial sediment resulting from upland deforestation. However, the overall increase in accumulation (0.56–2.6 mm/year) within the estuary is subtle and spatially variable across the tidal flats because of coincident anthropogenic land clearing and dam building, upland sediment storage, and estuarine hydrodynamics. This study provides insight into the response of formerly glaciated fluvial-coastal systems to human modifications, and underscores the role of estuarine environmental conditions in modifying upland signals of land-use change.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/anc-2018-0034","usgsCitation":"Shawler, J.L., Hein, C.J., Canuel, E.A., Kaste, J.M., Fitzsimons, G.G., Georgiou, I.Y., and Willard, D.A., 2019, Tidal erosion and upstream sediment trapping modulate records of land-use change in a formerly glaciated New England estuary: Anthropocene Coasts, v. 2, no. 1, p. 340-361, https://doi.org/10.1139/anc-2018-0034.","productDescription":"22 p.","startPage":"340","endPage":"361","ipdsId":"IP-102409","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true}],"links":[{"id":459295,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/anc-2018-0034","text":"Publisher Index Page"},{"id":392563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts, New Hampshire","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.21063232421875,\n 42.559149812115876\n ],\n [\n -70.55694580078125,\n 42.559149812115876\n ],\n [\n -70.55694580078125,\n 43.1090040242731\n ],\n [\n -71.21063232421875,\n 43.1090040242731\n ],\n [\n -71.21063232421875,\n 42.559149812115876\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Shawler, Justin L.","contributorId":256701,"corporation":false,"usgs":false,"family":"Shawler","given":"Justin","email":"","middleInitial":"L.","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":827758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hein, Christopher J.","contributorId":256702,"corporation":false,"usgs":false,"family":"Hein","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":827759,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Canuel, Elizabeth A","contributorId":269701,"corporation":false,"usgs":false,"family":"Canuel","given":"Elizabeth","email":"","middleInitial":"A","affiliations":[{"id":56025,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":827760,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaste, James M","contributorId":216607,"corporation":false,"usgs":false,"family":"Kaste","given":"James","email":"","middleInitial":"M","affiliations":[{"id":39485,"text":"The College of William & Mary","active":true,"usgs":false}],"preferred":false,"id":827761,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzsimons, Gregory G","contributorId":269702,"corporation":false,"usgs":false,"family":"Fitzsimons","given":"Gregory","email":"","middleInitial":"G","affiliations":[{"id":56026,"text":"GGF Historical Consultants","active":true,"usgs":false}],"preferred":false,"id":827762,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Georgiou, Ioannis Y.","contributorId":205361,"corporation":false,"usgs":false,"family":"Georgiou","given":"Ioannis","email":"","middleInitial":"Y.","affiliations":[{"id":37089,"text":"Pontchartrain Institute for Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":827763,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Willard, Debra A. 0000-0003-4878-0942 dwillard@usgs.gov","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":2076,"corporation":false,"usgs":true,"family":"Willard","given":"Debra","email":"dwillard@usgs.gov","middleInitial":"A.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true}],"preferred":true,"id":827764,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70205412,"text":"ofr20191103 - 2019 - Optimization of salt marsh management at the Rhode Island National Wildlife Refuge Complex through use of structured decision making","interactions":[],"lastModifiedDate":"2024-03-04T18:41:42.763901","indexId":"ofr20191103","displayToPublicDate":"2019-10-31T13:10:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1103","displayTitle":"Optimization of Salt Marsh Management at the Rhode Island National Wildlife Refuge Complex Through Use of Structured Decision Making","title":"Optimization of salt marsh management at the Rhode Island National Wildlife Refuge Complex through use of structured decision making","docAbstract":"

Structured decision making is a systematic, transparent process for improving the quality of complex decisions by identifying measurable management objectives and feasible management actions; predicting the potential consequences of management actions relative to the stated objectives; and selecting a course of action that maximizes the total benefit achieved and balances tradeoffs among objectives. The U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, applied an existing, regional framework for structured decision making to develop a prototype tool for optimizing salt marsh management decisions at the Rhode Island National Wildlife Refuge Complex. Refuge biologists, refuge managers, and research scientists identified multiple potential management actions to improve the ecological integrity of nine salt marsh management units within the refuge complex and estimated the outcomes of each action in terms of performance metrics associated with each management objective. Value functions previously developed at the regional level were used to transform metric scores to a common utility scale, and utilities were summed to produce a single score representing the total management benefit that would be accrued from each potential management action. Constrained optimization was used to identify the set of management actions, one per salt marsh management unit, that would maximize total management benefits at different cost constraints at the refuge scale. Results indicated that, for the objectives and actions considered here, total management benefits may increase consistently up to approximately $150,000, but that further expenditures may yield diminishing return on investment. Management actions in optimal portfolios at total costs less than $150,000 included digging runnels (by hand or machine) on the marsh surface to improve drainage in eight management units, applying sediment to the marsh surface (thin layer deposition) in one management unit, constructing islands for use by tidal marsh obligate birds in two management units, and controlling Phragmites australis in one management unit. The management benefits were derived from expected improvements in the capacity for marsh elevation to keep pace with sea-level rise and increases in numbers of spiders (as an indicator of trophic health) and tidal marsh obligate birds. The prototype presented here provides a framework for decision making at the Rhode Island National Wildlife Refuge Complex that can be updated as new data and information become available. Insights from this process may also be useful to inform future habitat management planning at the refuge.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191103","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Neckles, H.A., Lyons, J.E., Nagel, J.L., Adamowicz, S.C., Mikula, T., and Ernst, N.T., 2019, Optimization of salt marsh management at the Rhode Island National Wildlife Refuge Complex through use of structured decision making: U.S. Geological Survey Open-File Report 2019–1103, 39 p., https://doi.org/10.3133/ofr20191103.","productDescription":"vi, 39 p.","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-102061","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":368643,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1103/ofr20191103.pdf","text":"Report","size":"3.66 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1103"},{"id":368642,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1103/coverthb.jpg"}],"country":"United States","state":"Rhode Island","otherGeospatial":"Rhode Island National Wildlife Refuge Complex","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.57524108886719,\n 41.3757780692323\n ],\n [\n -71.42074584960938,\n 41.3757780692323\n ],\n [\n -71.42074584960938,\n 41.49674964110098\n ],\n [\n -71.57524108886719,\n 41.49674964110098\n ],\n [\n -71.57524108886719,\n 41.3757780692323\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Eastern Ecological Science Center
U.S. Geological Survey
12100 Beech Forest Road
Laurel, MD 20708-4039

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2019-10-31","noUsgsAuthors":false,"publicationDate":"2019-10-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Neckles, Hilary A. 0000-0002-5662-2314 hneckles@usgs.gov","orcid":"https://orcid.org/0000-0002-5662-2314","contributorId":3821,"corporation":false,"usgs":true,"family":"Neckles","given":"Hilary","email":"hneckles@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":771083,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":214392,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":771084,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nagel, Jessica L. 0000-0002-4437-0324 jnagel@usgs.gov","orcid":"https://orcid.org/0000-0002-4437-0324","contributorId":3976,"corporation":false,"usgs":true,"family":"Nagel","given":"Jessica","email":"jnagel@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":771085,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adamowicz, Susan C.","contributorId":174712,"corporation":false,"usgs":false,"family":"Adamowicz","given":"Susan","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":true,"id":771086,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mikula, Toni","contributorId":208473,"corporation":false,"usgs":false,"family":"Mikula","given":"Toni","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":771087,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ernst, Nicholas T.","contributorId":219029,"corporation":false,"usgs":false,"family":"Ernst","given":"Nicholas","email":"","middleInitial":"T.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":771088,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70206428,"text":"70206428 - 2019 - The LArge-n Seismic Survey in Oklahoma (LASSO) experiment","interactions":[],"lastModifiedDate":"2019-11-05T06:31:22","indexId":"70206428","displayToPublicDate":"2019-10-31T12:01:46","publicationYear":"2019","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":"The LArge-n Seismic Survey in Oklahoma (LASSO) experiment","docAbstract":"In 2016, the U.S. Geological Survey deployed more than 1,800 vertical-component nodal seismometers in Grant County, Oklahoma to study induced seismic activity associated with production of the Mississippi Limestone Play. The LArge-n Seismic Survey in Oklahoma (LASSO) array operated for approximately one month, covering a 25-km-by-32-km region with a nominal station spacing of ~400 m. Primary goals of the deployment were to detect microseismic events not captured by the sparser regional network stations and to provide nearly unaliased records of the seismic wavefield. A more complete record of earthquakes allows us to map the spatiotemporal evolution of induced event sequences and illuminates the structures on which the events occur. Dense records of the seismic wavefield also provide improved measurements of the earthquake source, including focal mechanisms and stress drops. Taken together, we can use these findings to glean insights into the processes that induce earthquakes. Here, we describe the array layout, features of the nodal sensors, data recording configurations, and the field deployment. We also provide examples of earthquake waveforms recorded by the array to illustrate data quality and initial observations. LASSO array data provide a significant resource for understanding the occurrence of earthquakes induced by wastewater disposal.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190094","usgsCitation":"Dougherty, S., Cochran, E.S., and Harrington, R.M., 2019, The LArge-n Seismic Survey in Oklahoma (LASSO) experiment: Seismological Research Letters, v. 90, no. 5, p. 2015-2057, https://doi.org/10.1785/0220190094.","productDescription":"43 p.","startPage":"2015","endPage":"2057","ipdsId":"IP-106311","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":368924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas, Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.074951171875,\n 36.756490329505176\n ],\n [\n -97.6904296875,\n 36.756490329505176\n ],\n [\n -97.6904296875,\n 37.020098201368114\n ],\n [\n -98.074951171875,\n 37.020098201368114\n ],\n [\n -98.074951171875,\n 36.756490329505176\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"90","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Dougherty, S.","contributorId":220221,"corporation":false,"usgs":false,"family":"Dougherty","given":"S.","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":774509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":774508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harrington, R. M.","contributorId":215265,"corporation":false,"usgs":false,"family":"Harrington","given":"R.","email":"","middleInitial":"M.","affiliations":[{"id":39218,"text":"University of Bochum","active":true,"usgs":false}],"preferred":false,"id":774510,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70211342,"text":"70211342 - 2019 - Partly cloudy with a chance of lava flows: Forecasting volcanic eruptions in the 21st century","interactions":[],"lastModifiedDate":"2020-07-27T15:01:15.447745","indexId":"70211342","displayToPublicDate":"2019-10-31T09:50:22","publicationYear":"2019","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":"Partly cloudy with a chance of lava flows: Forecasting volcanic eruptions in the 21st century","docAbstract":"

A primary goal of volcanology is forecasting hazardous eruptive activity. Despite much progress over the last century, however, volcanoes still erupt with no detected precursors, lives and livelihoods are lost to eruptive activity, and forecasting the onsets of eruptions remains fraught with uncertainty. Long‐term forecasts are generally derived from the geological and historical records, from which recurrence intervals and styles of activity can be inferred, while shorter‐term forecasts are derived from patterns in monitoring data. Information from geology and monitoring data can be evaluated and combined using statistical analysis, expert elicitation, and conceptual and or mathematical models. Integrative frameworks, such as event trees, combine this diversity of information to produce probabilistic forecasts that can inform the style and scale of the societal response to a potential future eruption. Several developments show promise to revolutionize the utility and accuracy of these forecasts. These include growth in the quantity and quality of multidisciplinary monitoring data, coupled with increases in computing power; machine learning algorithms, which will allow far better utilization of this growing volume of data; and new physiochemical volcano models and data assimilation algorithms, which take advantage of a wide range of monitoring data and realistic physics to better predict the evolution of a given physical state. Although eruption forecasts may never be as generally reliable as weather forecasts, and great caution must be exercised when attempting to predict highly complex volcanic behavior, these and other innovations—particularly when combined in integrative, fully probabilistic forecasting frameworks—should help volcanologists to better issue warnings of volcanic activity on societally relevant time frames.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JB016974","usgsCitation":"Poland, M.P., and Anderson, K.R., 2019, Partly cloudy with a chance of lava flows: Forecasting volcanic eruptions in the 21st century: Journal of Geophysical Research, v. 1, no. 125, e2018JB016974, 32 p., https://doi.org/10.1029/2018JB016974.","productDescription":"e2018JB016974, 32 p.","ipdsId":"IP-108339","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":459301,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jb016974","text":"Publisher Index Page"},{"id":376712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy, United States","state":"Hawaii","otherGeospatial":"Campi Flegrei, Kīlauea volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 14.135026931762695,\n 40.823487547820015\n ],\n [\n 14.146184921264648,\n 40.823487547820015\n ],\n [\n 14.146184921264648,\n 40.83134608188173\n ],\n [\n 14.135026931762695,\n 40.83134608188173\n ],\n [\n 14.135026931762695,\n 40.823487547820015\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.302734375,\n 19.38629551130323\n ],\n [\n -155.2326965332031,\n 19.38629551130323\n ],\n [\n -155.2326965332031,\n 19.44134189745716\n ],\n [\n -155.302734375,\n 19.44134189745716\n ],\n [\n -155.302734375,\n 19.38629551130323\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"1","issue":"125","noUsgsAuthors":false,"publicationDate":"2020-01-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":793929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":793930,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70210077,"text":"70210077 - 2019 - Late Quaternary slip rate of the Central Sierra Madre fault, southern California: Implications for slip partitioning and earthquake hazard","interactions":[],"lastModifiedDate":"2020-05-13T13:59:01.256027","indexId":"70210077","displayToPublicDate":"2019-10-31T08:54:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary slip rate of the Central Sierra Madre fault, southern California: Implications for slip partitioning and earthquake hazard","docAbstract":"The Sierra Madre fault system accommodates contraction within a large restraining bend area of the San Andreas fault along the northern margin of the Los Angeles metropolitan area in Southern California. Reverse slip along this fault system during earthquakes controls growth of the San Gabriel Mountains and poses a significant seismic hazard to the region. Here, we measure the late Quaternary slip rate of the Central Sierra Madre fault (CSMF) using analysis of high-resolution topography combined with cosmogenic 10Be surface exposure dating and post-IR IRSL geochronology. We mapped terrace and fan surfaces from three drainages that cross the CSMF and correlate them based on soil development and geomorphic position. Cosmogenic nuclide and luminescence ages are consistent amongst the three prominent surfaces offset ~5 to 28 m across the fault zone. We devised a new strategy to estimate surface ages, incorporating data from two dating methods at three locations, refined by inset age relationships, that yields surface age estimates of 54 +21/-13 ka, 36 ± 8 ka, and 12 ± 4 ka. Estimated slip for these geomorphic markers is more uncertain than the measured vertical separation due to uncertainties in fault dip and ranges from 7.5 +5.4/-3.1 m to 58.5 +46.3/-14.4 m. Incremental dip-slip rate estimates from different age surfaces and locations overlap within uncertainty, with median values ranging from 0.7 to 1.1 mm/yr. The average slip rate for all three generations of markers is 1.1 +1.2/-0.4 mm/yr. This late Quaternary slip rate for the CSMF is slower than estimates based on interseismic geodetic data, and emphasizes the importance of contraction distributed across multiple structures south of the Sierra Madre fault when assessed against the geodetic shortening budget. Despite being the central portion of the broader Sierra Madre fault system, the CSMF has a slip rate similar to or lower than neighboring sections, suggesting that slip transfer onto other nearby faults control the along-strike pattern of deformation rate. Paleoseismic evidence indicates that the last earthquake on the CSMF was in the early Holocene, and the slip rate we estimate suggests that the accumulated elastic strain could produce many meters of slip in future earthquakes.","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2019.115907","collaboration":"","usgsCitation":"Burgette, R., Hanson, A., Scharer, K., Rittenour, T.M., and McPhillips, D., 2019, Late Quaternary slip rate of the Central Sierra Madre fault, southern California: Implications for slip partitioning and earthquake hazard: Earth and Planetary Science Letters, v. 530, 115907, 12 p., https://doi.org/10.1016/j.epsl.2019.115907.","productDescription":"115907, 12 p.","ipdsId":"IP-108292","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":459305,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2019.115907","text":"Publisher Index Page"},{"id":374748,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Sierra Madre fault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.344482421875,\n 33.6420625047537\n ],\n [\n -116.83959960937499,\n 33.6420625047537\n ],\n [\n -116.83959960937499,\n 34.43862840686652\n ],\n [\n -119.344482421875,\n 34.43862840686652\n ],\n [\n -119.344482421875,\n 33.6420625047537\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"530","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Burgette, Reed J.","contributorId":175465,"corporation":false,"usgs":false,"family":"Burgette","given":"Reed J.","affiliations":[{"id":49682,"text":"Dept of Geolgical Sciences, New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":789005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Austin","contributorId":175466,"corporation":false,"usgs":false,"family":"Hanson","given":"Austin","email":"","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":789006,"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":789007,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rittenour, Tammy M.","contributorId":140755,"corporation":false,"usgs":false,"family":"Rittenour","given":"Tammy","email":"","middleInitial":"M.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":789008,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McPhillips, Devin 0000-0003-1987-9249","orcid":"https://orcid.org/0000-0003-1987-9249","contributorId":217362,"corporation":false,"usgs":true,"family":"McPhillips","given":"Devin","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":789009,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70215270,"text":"70215270 - 2019 - Coseismic slip and early afterslip of the M6.0 August 24, 2014 South Napa, California, earthquake","interactions":[],"lastModifiedDate":"2020-10-14T13:29:10.31605","indexId":"70215270","displayToPublicDate":"2019-10-31T08:26:37","publicationYear":"2019","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":"Coseismic slip and early afterslip of the M6.0 August 24, 2014 South Napa, California, earthquake","docAbstract":"

We employ strong motion seismograms and static offsets from the Global Positioning System, Interferometric Synthetic Aperture Radar, and other measurements in order to derive a coseismic slip and afterslip model of the M6.0 24 August 2014 South Napa earthquake. This earthquake ruptured an ∼13‐km‐long portion of the West Napa fault with predominantly right‐lateral strike slip. In the kinematic seismic slip inversions, we couple the coseismic slip and afterslip distributions by requiring both distributions to involve right‐lateral strike slip with positive amplitude, with the net static slip being the sum of the two. We consider several candidate fault geometries: a first involving two steeply east dipping fault planes that reach Earth's surface at the western surface trace (STW), where most surface rupture was observed, a second involving a steeply west dipping plane that also reaches Earth's surface at the STW, and a third involving a combination of two variably west dipping planes constrained to pass through the locus of postseismic seismicity located ∼1 km west of the STW. The data are best fit using the model of two east dipping fault planes, with coseismic slip up to ∼1.2 m on a dominant shallow asperity about 10 km north of the hypocenter and on deeper asperities on the southern part of the rupture. Afterslip up to 1 m is concentrated along the southern part of the rupture at depths \"urn:x-wiley:jgrb:media:jgrb53820:jgrb53820-math-0001\"5 km, consistent with surface observations of afterslip. Seismic moments associated with coseismic slip and afterslip are 1.13×1018 N m (Mw 6.00) and 3.64×1017 N m, respectively.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JB018470","usgsCitation":"Pollitz, F., Murray, J.R., Minson, S.E., Wicks, C.W., Svarc, J.L., and Brooks, B.A., 2019, Coseismic slip and early afterslip of the M6.0 August 24, 2014 South Napa, California, earthquake: Journal of Geophysical Research, v. 124, no. 11, p. 11728-11747, https://doi.org/10.1029/2019JB018470.","productDescription":"20 p.","startPage":"11728","endPage":"11747","ipdsId":"IP-109539","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":379354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"South Napa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.61566162109375,\n 38.002655740556705\n ],\n [\n -121.91253662109376,\n 38.002655740556705\n ],\n [\n -121.91253662109376,\n 38.44498466889473\n ],\n [\n -122.61566162109375,\n 38.44498466889473\n ],\n [\n -122.61566162109375,\n 38.002655740556705\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"124","issue":"11","noUsgsAuthors":false,"publicationDate":"2019-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":801417,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murray, Jessica R. 0000-0002-6144-1681 jrmurray@usgs.gov","orcid":"https://orcid.org/0000-0002-6144-1681","contributorId":2759,"corporation":false,"usgs":true,"family":"Murray","given":"Jessica","email":"jrmurray@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":801418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":801419,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wicks, Charles W. Jr. 0000-0002-0809-1328 cwicks@usgs.gov","orcid":"https://orcid.org/0000-0002-0809-1328","contributorId":127701,"corporation":false,"usgs":true,"family":"Wicks","given":"Charles","suffix":"Jr.","email":"cwicks@usgs.gov","middleInitial":"W.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":801420,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Svarc, Jerry L. 0000-0002-2802-4528","orcid":"https://orcid.org/0000-0002-2802-4528","contributorId":212736,"corporation":false,"usgs":true,"family":"Svarc","given":"Jerry","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":801421,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brooks, Benjamin A. 0000-0001-7954-6281 bbrooks@usgs.gov","orcid":"https://orcid.org/0000-0001-7954-6281","contributorId":5237,"corporation":false,"usgs":true,"family":"Brooks","given":"Benjamin","email":"bbrooks@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":801422,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70205472,"text":"sir20195091 - 2019 - Summary of hydrologic testing, wellbore-flow data, and expanded water-level and water-quality data, 2011–15, Fort Irwin National Training Center, San Bernardino County, California","interactions":[],"lastModifiedDate":"2019-10-31T07:58:13","indexId":"sir20195091","displayToPublicDate":"2019-10-30T11:37:52","publicationYear":"2019","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":"2019-5091","displayTitle":"Summary of Hydrologic Testing, Wellbore‐Flow Data, and Expanded Water‐Level and Water‐Quality Data, 2011–15, Fort Irwin Training Center, San Bernardino County, California","title":"Summary of hydrologic testing, wellbore-flow data, and expanded water-level and water-quality data, 2011–15, Fort Irwin National Training Center, San Bernardino County, California","docAbstract":"

In view of the U.S. Army’s historical reliance and plans to increase demands on groundwater to supply its operations at Fort Irwin National Training Center (NTC), California, coupled with the continuing water-level declines in some developed groundwater basins as a result of pumping, the U.S. Geological Survey (USGS), in cooperation with the U.S. Army, evaluated the water resources, including water quality and potential groundwater supply, of undeveloped basins in the NTC. Previous work in the three developed groundwater basins—Langford, Bicycle, and Irwin—provided information to support water-resources management of those basins. During 2009–12, the USGS installed 41 wells at the NTC; 34 wells were at 14 single- or multiple-well monitoring sites, and 7 wells were long-screen test wells. The majority of the wells were installed in previously undeveloped or minimally developed groundwater basins (Cronise, Red Pass, the Central Corridor area, Superior, Goldstone, and Nelson Basins). During 2012–15, the USGS tested hydrologic properties at 32 wells in 8 basins to help characterize the aquifer system. This report presents data and analyses from core samples; slug tests and single-well aquifer tests; coupled measurements of wellbore flow, water levels, and water-quality constituents; and results from two-dimensional numerical modeling. This information provides a basis for developing and constraining basin-scale hydrogeologic framework and groundwater-flow models to further evaluate water resources in each groundwater basin.

Core samples were tested for vertical saturated hydraulic conductivity, physical properties, and particle-size distribution. Vertical saturated hydraulic conductivities of the cores ranged from less than 0.00001 to 18.13 feet per day, and porosities ranged from 0.15 to 0.56. These physical properties and particle-size analyses indicate the high degree of heterogeneity of the hydrogeologic deposits penetrated by the boreholes. Horizontal hydraulic conductivities estimated from slug tests in 22 monitoring wells in 6 basins (Cronise, Central Corridor area, Goldstone, Langford, Bicycle, and Nelson Basins) ranged from less than 0.1 to 40 feet per day. Results of the aquifer tests at six test wells in the Goldstone, Nelson, and Superior Basins indicate hydraulic conductivities ranged from 0.37 to 66 feet per day; associated transmissivity values ranged from 130 to 28,000 feet squared per day. Wellbore-flow data, collected from the six test wells under unpumped and pumped conditions, generally showed downward movement of water. Flow data collected under unpumped conditions indicate groundwater entered the well through the upper part of the screened interval and exited to aquifer zones in the lower part of the screened interval at rates ranging from 1 to 3 gallons per minute. Flow data collected under pumping conditions show increased flow downward in the test wells, indicating higher yields from deeper aquifers.

Water levels, measured periodically between 2011 and 2015, remained stable during this period in the majority of the wells measured since 2011, except at two monitoring sites in developed basins (Bicycle and Langford). Vertical hydraulic gradients were generally low throughout the NTC, but ranged from –0.0003 to 0.27 during the summer of 2015. Multiple-well monitoring sites in Bicycle, Central Corridor area, Cronise, Goldstone, Nelson, and Superior Basins, had downward vertical gradients.

Groundwater in wells in Nelson and Superior Basins, and wells BLA5, CCT1, and GOLD2 #2, was characterized as sodium-bicarbonate water, whereas groundwater from the remaining wells in Goldstone Basin was characterized as sodium-chloride water and Cronise Basin, and well LL04 was characterized by sodium-sulfate water. Total dissolved solids (TDS) ranged from 285 to 13,400 milligrams per liter (mg/L) TDS and chloride concentrations ranged from 19 to 1,030 mg/L chloride, with lowest concentrations of each in groundwater from Superior and Nelson Basins and highest concentrations in Cronise Basin. Nitrate plus nitrite as nitrogen ranged from less than 0.040 mg/L in groundwater from Cronise and Goldstone Basins to about 20 mg/L in Nelson Basin. Groundwater from wells in Nelson Basin was isotopically light, whereas groundwater samples from wells CRTH1, CRTH2, and LL04 were isotopically heavier and plotted along an evaporative trend line. No measurable tritium was detected in groundwater from 13 wells sampled in 2015, indicating that groundwater was recharged prior to 1952. Measured carbon-14 (14C) activities in groundwater from four wells sampled in 2015 ranged from about 7.9 to 23.5 percent modern carbon and had apparent (uncorrected) ages of 11,970–20,980 years. Arsenic concentrations were above the maximum contaminant level of 10 micrograms per liter in groundwater from all wells, except those in Goldstone Basin and the two deepest wells in Langford Basin (LL04); likewise, fluoride concentrations were above the California maximum contaminant level of 2 mg/L in groundwater from most wells, except those in Goldstone and Superior Basins, the middle well in Langford Basin, middle and deep wells in two locations in Cronise Basin, and two wells in Nelson Basin.

Wellbore flow was simulated for each well by using an integrated-flow analysis tool, AnalyzeHOLE, to evaluate aquifer properties and heterogeneity. Horizontal layers in the model (hydrogeologic units) were defined by lithostratigraphic‐geophysical units, interpreted from lithologic and geophysical logs for each well, and were adjusted during calibration. The saturated hydraulic conductivities derived from the calibrated simulations ranged from less than 0.01 to 60 feet per day in Nelson, Goldstone, and Superior Basins.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195091","collaboration":"Prepared in cooperation with the U.S. Army Fort Irwin National Training Center","usgsCitation":"Nawikas, J.M., Densmore, J.N., O’Leary, D.R., Buesch, D.C., and Izbicki, J.A., 2019, Summary of hydrologic testing, wellbore-flow data, and expanded water-level and water-quality data, 2011–15, Fort Irwin National Training Center, San Bernardino County, California: U.S. Geological Survey Scientific Investigations Report 2019–5091, 161 p., https://doi.org/10.3133/sir20195091.","productDescription":"Report: xvi, 161 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-068711","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":368718,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5091/sir20195091.pdf","text":"Report","size":"16 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5091"},{"id":368717,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5091/coverthb.jpg"},{"id":368745,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HW348R","linkHelpText":"MODFLOW-2000 model files used to simulate wellbore flow and evaluate aquifer properties and heterogeneity in wells at Fort Irwin National Training Center, San Bernardino County, California"}],"country":"United States","state":"California","county":"San Bernardino County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-115.6513,35.8111],[-115.648,35.8111],[-115.6283,35.7954],[-115.5913,35.7661],[-115.5356,35.7229],[-115.5215,35.7115],[-115.4268,35.6375],[-115.4148,35.6279],[-115.2207,35.4744],[-115.2099,35.4658],[-115.2066,35.463],[-115.1563,35.4234],[-115.1093,35.3858],[-115.091,35.371],[-115.0732,35.3567],[-115.0441,35.3338],[-115.0273,35.3204],[-114.9816,35.2837],[-114.9498,35.2584],[-114.9352,35.2469],[-114.8283,35.1609],[-114.7736,35.1165],[-114.7527,35.0997],[-114.7425,35.0905],[-114.7218,35.0742],[-114.7123,35.0668],[-114.6949,35.0527],[-114.6769,35.0378],[-114.675,35.0363],[-114.6591,35.0234],[-114.6329,35.0021],[-114.6315,35.0002],[-114.6289,34.9937],[-114.6287,34.9875],[-114.6283,34.9855],[-114.6313,34.9761],[-114.6338,34.9674],[-114.6328,34.9626],[-114.6324,34.9606],[-114.6313,34.9556],[-114.6292,34.9489],[-114.6284,34.9412],[-114.6299,34.9342],[-114.6312,34.9261],[-114.6309,34.9237],[-114.6305,34.9202],[-114.6296,34.9146],[-114.629,34.9112],[-114.63,34.9053],[-114.6326,34.8997],[-114.6342,34.893],[-114.635,34.8867],[-114.6347,34.8802],[-114.632,34.8734],[-114.6258,34.8667],[-114.6164,34.8607],[-114.6155,34.8602],[-114.6036,34.8535],[-114.5925,34.8463],[-114.5919,34.8456],[-114.5857,34.839],[-114.5803,34.8307],[-114.5782,34.8231],[-114.5778,34.8219],[-114.5748,34.8128],[-114.5739,34.8102],[-114.571,34.8013],[-114.5645,34.7896],[-114.5585,34.7796],[-114.5495,34.7699],[-114.5417,34.7627],[-114.5325,34.757],[-114.5264,34.7539],[-114.5206,34.7482],[-114.5176,34.7435],[-114.5152,34.7413],[-114.5135,34.7397],[-114.5067,34.7372],[-114.4999,34.735],[-114.4925,34.732],[-114.4908,34.7294],[-114.489,34.7266],[-114.4878,34.7244],[-114.4813,34.7198],[-114.4804,34.7196],[-114.4765,34.7187],[-114.4708,34.7152],[-114.4672,34.708],[-114.4652,34.7022],[-114.4649,34.7008],[-114.4628,34.6936],[-114.4581,34.6864],[-114.4545,34.6787],[-114.451,34.6733],[-114.4498,34.6707],[-114.4516,34.6681],[-114.4536,34.6665],[-114.4557,34.6637],[-114.4551,34.6619],[-114.4539,34.6592],[-114.452,34.6576],[-114.4493,34.6552],[-114.4436,34.6507],[-114.4417,34.6463],[-114.4404,34.6386],[-114.4386,34.6323],[-114.4373,34.6268],[-114.4343,34.6233],[-114.4303,34.6206],[-114.4246,34.6171],[-114.4217,34.6135],[-114.4211,34.6099],[-114.4232,34.6076],[-114.4265,34.6053],[-114.4298,34.6034],[-114.4331,34.601],[-114.4338,34.6],[-114.4347,34.5987],[-114.434,34.596],[-114.431,34.5925],[-114.4253,34.5885],[-114.4135,34.5812],[-114.4093,34.5781],[-114.4055,34.5754],[-114.4029,34.572],[-114.4001,34.5674],[-114.3963,34.5613],[-114.3937,34.5569],[-114.3896,34.5524],[-114.3872,34.5468],[-114.3827,34.5398],[-114.3789,34.5304],[-114.377,34.5227],[-114.3765,34.5145],[-114.3786,34.5049],[-114.3789,34.5037],[-114.3814,34.492],[-114.3814,34.4856],[-114.3815,34.4831],[-114.3819,34.4761],[-114.3843,34.4689],[-114.3849,34.4639],[-114.383,34.4588],[-114.3783,34.4536],[-114.3723,34.4511],[-114.3665,34.4513],[-114.3655,34.4513],[-114.3582,34.4531],[-114.3571,34.4533],[-114.346,34.4556],[-114.3399,34.4557],[-114.3354,34.4544],[-114.3325,34.4522],[-114.3301,34.4477],[-114.3274,34.4445],[-114.3234,34.4416],[-114.3226,34.4411],[-114.3183,34.4392],[-114.3103,34.4359],[-114.3035,34.4324],[-114.2974,34.4287],[-114.2943,34.4248],[-114.2913,34.4197],[-114.2896,34.4145],[-114.2869,34.4104],[-114.2832,34.408],[-114.2782,34.4074],[-114.2727,34.4071],[-114.266,34.4063],[-114.2609,34.4037],[-114.2558,34.3995],[-114.2517,34.3965],[-114.2442,34.3899],[-114.2425,34.3886],[-114.2358,34.3832],[-114.2311,34.376],[-114.2281,34.3728],[-114.2265,34.3713],[-114.2225,34.3685],[-114.2217,34.3681],[-114.2173,34.367],[-114.2163,34.3667],[-114.2092,34.3646],[-114.2001,34.363],[-114.1993,34.3627],[-114.1906,34.36],[-114.1845,34.3585],[-114.1802,34.356],[-114.177,34.3521],[-114.173,34.347],[-114.1685,34.3411],[-114.1668,34.3391],[-114.1637,34.3355],[-114.1568,34.3293],[-114.1517,34.3251],[-114.1449,34.3186],[-114.1414,34.3127],[-114.1378,34.3081],[-114.1373,34.3051],[-114.1366,34.3012],[-114.1363,34.2979],[-114.136,34.2944],[-114.1336,34.2888],[-114.134,34.2824],[-114.1332,34.2779],[-114.1317,34.2751],[-114.1302,34.2711],[-114.1295,34.2672],[-114.1306,34.2652],[-114.1339,34.2638],[-114.1381,34.264],[-114.143,34.2646],[-114.1469,34.2644],[-114.1511,34.2639],[-114.1556,34.2638],[-114.1586,34.2631],[-114.1594,34.2629],[-114.1611,34.2619],[-114.1612,34.2597],[-114.1612,34.2587],[-114.1626,34.2564],[-114.1642,34.2546],[-114.1661,34.2534],[-114.1686,34.2527],[-114.1713,34.2508],[-114.174,34.2476],[-114.1756,34.2453],[-114.1783,34.2425],[-114.1874,34.2348],[-114.198,34.2262],[-114.206,34.2188],[-114.2112,34.2152],[-114.2129,34.2145],[-114.2135,34.214],[-114.2174,34.2112],[-114.2207,34.209],[-114.2227,34.2069],[-114.2232,34.2042],[-114.2242,34.2006],[-114.2239,34.1973],[-114.2248,34.1948],[-114.2259,34.1929],[-114.2284,34.1912],[-114.2292,34.191],[-114.2327,34.19],[-114.2374,34.187],[-114.2405,34.1854],[-114.2421,34.1842],[-114.245,34.1819],[-114.2521,34.1784],[-114.2569,34.1775],[-114.2642,34.1764],[-114.2688,34.1755],[-114.2698,34.1755],[-114.2748,34.1757],[-114.2793,34.1762],[-114.2815,34.1758],[-114.285,34.1742],[-114.2886,34.1727],[-114.2942,34.1678],[-114.3004,34.1601],[-114.3087,34.152],[-114.3164,34.1455],[-114.3226,34.1415],[-114.3307,34.1394],[-114.3385,34.1379],[-114.3453,34.1383],[-114.3503,34.1369],[-114.3518,34.1355],[-114.3523,34.1349],[-114.3556,34.1314],[-114.3592,34.1274],[-114.3648,34.1229],[-114.3708,34.1207],[-114.3791,34.1186],[-114.384,34.1162],[-114.3895,34.1147],[-114.3947,34.1149],[-114.3985,34.1154],[-114.3995,34.1156],[-114.4018,34.1158],[-114.4041,34.1152],[-114.41,34.1134],[-114.4149,34.1096],[-114.4188,34.1063],[-114.423,34.1008],[-114.4273,34.0962],[-114.4298,34.0928],[-114.4326,34.0879],[-114.4331,34.0856],[-114.447,34.0849],[-114.4698,34.0845],[-114.5054,34.0842],[-114.5415,34.0839],[-114.5593,34.0838],[-114.6637,34.0836],[-114.6809,34.0834],[-114.787,34.0828],[-114.8225,34.0833],[-114.8637,34.0827],[-114.9436,34.0831],[-114.9791,34.0832],[-114.9969,34.0834],[-115.094,34.084],[-115.1229,34.0837],[-115.1928,34.084],[-115.193,34.0813],[-115.2107,34.0815],[-115.2979,34.0811],[-115.3157,34.0813],[-115.3162,34.0708],[-115.3152,34.038],[-115.3674,34.0381],[-115.4578,34.0381],[-115.4761,34.0383],[-115.526,34.0382],[-115.5605,34.0375],[-115.5954,34.0373],[-115.6315,34.0376],[-115.6659,34.037],[-115.6842,34.0367],[-115.7718,34.0372],[-115.7902,34.0369],[-115.8207,34.037],[-115.8761,34.0369],[-115.8773,34.0369],[-115.8955,34.0371],[-115.9316,34.0368],[-115.9755,34.0363],[-115.9832,34.0366],[-116.0009,34.0367],[-116.0375,34.0373],[-116.0681,34.0364],[-116.1391,34.0367],[-116.159,34.0368],[-116.2045,34.0367],[-116.2123,34.0369],[-116.2611,34.0369],[-116.301,34.0367],[-116.3006,34.033],[-116.3532,34.0345],[-116.4581,34.0336],[-116.4753,34.0341],[-116.493,34.0341],[-116.5113,34.0341],[-116.5285,34.0332],[-116.5462,34.0337],[-116.564,34.0332],[-116.5817,34.0332],[-116.6156,34.0336],[-116.717,34.0338],[-116.8251,34.0354],[-116.8556,34.0357],[-116.9299,34.0346],[-116.9303,34.0051],[-117.2269,34.0045],[-117.227,34.0186],[-117.3767,34.0191],[-117.3774,34.0328],[-117.5598,34.0328],[-117.5592,33.9887],[-117.6117,33.9718],[-117.6112,33.9254],[-117.6566,33.9244],[-117.6564,33.888],[-117.6757,33.8887],[-117.6687,33.8809],[-117.6744,33.8737],[-117.7,33.8909],[-117.7306,33.9073],[-117.7851,33.9454],[-117.7852,33.9455],[-117.7851,33.9455],[-117.7943,33.9533],[-117.7946,33.9675],[-117.804,33.9681],[-117.8037,33.9711],[-117.8033,33.9762],[-117.7942,33.9908],[-117.793,33.9928],[-117.7866,34.0032],[-117.772,34.0041],[-117.7694,34.0043],[-117.7693,34.0084],[-117.7707,34.0221],[-117.7607,34.0229],[-117.7513,34.0223],[-117.733,34.0211],[-117.7299,34.0382],[-117.7087,34.0893],[-117.6968,34.125],[-117.6837,34.1644],[-117.6731,34.1969],[-117.6675,34.2141],[-117.6499,34.2761],[-117.6474,34.2875],[-117.648,34.3043],[-117.6559,34.3967],[-117.6563,34.4049],[-117.662,34.4477],[-117.6638,34.5581],[-117.6693,34.5591],[-117.6695,34.6463],[-117.6697,34.6574],[-117.6698,34.6608],[-117.6699,34.6664],[-117.6702,34.6903],[-117.6699,34.7044],[-117.6704,34.7776],[-117.6704,34.8221],[-117.6519,34.8227],[-117.6351,34.8233],[-117.6357,34.985],[-117.6361,35.015],[-117.6357,35.0295],[-117.6356,35.0581],[-117.6358,35.0727],[-117.636,35.0872],[-117.6352,35.0981],[-117.6329,35.098],[-117.6331,35.1126],[-117.6333,35.1271],[-117.6336,35.1417],[-117.6338,35.1562],[-117.6334,35.1707],[-117.6336,35.1861],[-117.6338,35.2011],[-117.634,35.2157],[-117.6342,35.2302],[-117.6339,35.2447],[-117.6341,35.2588],[-117.6343,35.2742],[-117.6345,35.2874],[-117.6341,35.3028],[-117.6343,35.3174],[-117.6351,35.3319],[-117.6353,35.3464],[-117.6352,35.3755],[-117.6346,35.4472],[-117.6351,35.5639],[-117.6356,35.5666],[-117.6352,35.5807],[-117.6354,35.6233],[-117.6353,35.6487],[-117.6166,35.6493],[-117.6176,35.6775],[-117.6527,35.6776],[-117.6537,35.7085],[-117.6355,35.7086],[-117.6362,35.7958],[-117.4224,35.7945],[-117.4162,35.7944],[-117.4031,35.7946],[-117.3844,35.7948],[-117.3685,35.7945],[-117.3504,35.7946],[-117.259,35.7947],[-117.0917,35.7946],[-116.9453,35.7957],[-116.9357,35.7959],[-116.9232,35.7961],[-116.6071,35.7965],[-116.6021,35.7964],[-116.5346,35.7956],[-116.5068,35.7954],[-116.4444,35.7943],[-116.3588,35.7929],[-116.3474,35.7931],[-116.3389,35.7929],[-116.2952,35.793],[-116.2765,35.793],[-116.2549,35.7933],[-116.2095,35.7934],[-116.1891,35.7938],[-116.1766,35.7939],[-116.1221,35.7946],[-116.0795,35.7952],[-116.0619,35.7952],[-116.0353,35.7953],[-115.8968,35.7952],[-115.8786,35.7952],[-115.8605,35.7951],[-115.8423,35.7954],[-115.7975,35.7949],[-115.7532,35.7953],[-115.7362,35.7953],[-115.7359,35.8116],[-115.7013,35.8114],[-115.6513,35.8111]]]},\"properties\":{\"name\":\"San Bernardino\",\"state\":\"CA\"}}]}","contact":"

Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819

","tableOfContents":"

","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-10-29","noUsgsAuthors":false,"publicationDate":"2019-10-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Nawikas, Joseph M. 0000-0001-9061-6674 jnawika@usgs.gov","orcid":"https://orcid.org/0000-0001-9061-6674","contributorId":5292,"corporation":false,"usgs":true,"family":"Nawikas","given":"Joseph","email":"jnawika@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":771321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Densmore, Jill N. 0000-0002-5345-6613 jidensmo@usgs.gov","orcid":"https://orcid.org/0000-0002-5345-6613","contributorId":1474,"corporation":false,"usgs":true,"family":"Densmore","given":"Jill","email":"jidensmo@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":771322,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Leary, David R. 0000-0001-9888-1739 doleary@usgs.gov","orcid":"https://orcid.org/0000-0001-9888-1739","contributorId":175504,"corporation":false,"usgs":true,"family":"O'Leary","given":"David R.","email":"doleary@usgs.gov","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":774101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buesch, David C. 0000-0002-4978-5027 dbuesch@usgs.gov","orcid":"https://orcid.org/0000-0002-4978-5027","contributorId":1154,"corporation":false,"usgs":true,"family":"Buesch","given":"David","email":"dbuesch@usgs.gov","middleInitial":"C.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":774102,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":152474,"corporation":false,"usgs":true,"family":"Izbicki","given":"John","email":"jaizbick@usgs.gov","middleInitial":"A.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":774103,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70208840,"text":"70208840 - 2019 - Noninvasive identification of cryptic herpetofauna from fecal samples: A novel approach pairing conservation dog surveys and genetic analysis","interactions":[],"lastModifiedDate":"2020-03-03T09:20:23","indexId":"70208840","displayToPublicDate":"2019-10-30T09:16:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Noninvasive identification of cryptic herpetofauna from fecal samples: A novel approach pairing conservation dog surveys and genetic analysis","docAbstract":"Noninvasive fecal sampling combined with genetic analysis is a powerful technique allowing the study of elusive or otherwise difficult to monitor species without the need for direct contact. While this method is widely used in birds and mammals, it has never been successfully applied on a large scale in reptiles. The blunt-nosed leopard lizard (Gambelia sila) is an endangered species endemic to the San Joaquin Desert of California. Presently, acquiring data on G. sila for research and management involves more traditional methods such as live capture to obtain tissue samples for DNA analysis, or observation via visual surveys, which are also used for regulatory monitoring in accordance with wildlife agency protocols. Here we describe an innovative approach for gathering additional information, that combines use of conservation detection dogs trained to locate G. sila scat samples with genetic analysis for identifying and distinguishing among sympatric lizard species. We developed two PCR assays that produce fluorescently labelled amplicons of species-specific fragment length for six lizard species in the study area. Using these assays we genetically identifed to species 78% (255 of 327) of samples collected by dog-handler teams across four years. The majority of the genetically identifed samples (82.4%; 210 of 255) were confirmed as originating from G. sila. Beyond the immediate application of these techniques for the study and monitoring of G. sila, our ability to recover usable DNA and to differentiate among a diverse group of lizards highlights the broad potential of our methodology for noninvasive sampling in reptiles.","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21772","usgsCitation":"Statham, M., Woollett, D., Fresquez, S., Pfeiffer, J., Richmond, J.Q., Whitelaw, A., Richards, N., Westphal, M.F., and Sacks, B., 2019, Noninvasive identification of cryptic herpetofauna from fecal samples: A novel approach pairing conservation dog surveys and genetic analysis: Journal of Wildlife Management, v. 84, no. 1, p. 66-74, https://doi.org/10.1002/jwmg.21772.","productDescription":"9 p.","startPage":"66","endPage":"74","ipdsId":"IP-108407","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":459322,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.21772","text":"Publisher Index Page"},{"id":372841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.1517333984375,\n 34.619647359797185\n ],\n [\n -117.82287597656249,\n 34.619647359797185\n ],\n [\n -117.82287597656249,\n 37.01571219880126\n ],\n [\n -121.1517333984375,\n 37.01571219880126\n ],\n [\n -121.1517333984375,\n 34.619647359797185\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"84","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Statham, MJ","contributorId":222937,"corporation":false,"usgs":false,"family":"Statham","given":"MJ","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":783592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woollett, DA","contributorId":222938,"corporation":false,"usgs":false,"family":"Woollett","given":"DA","email":"","affiliations":[{"id":40629,"text":"Working Dogs for Conservation","active":true,"usgs":false}],"preferred":false,"id":783593,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fresquez, S","contributorId":222939,"corporation":false,"usgs":false,"family":"Fresquez","given":"S","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":783594,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pfeiffer, John M.","contributorId":202521,"corporation":false,"usgs":false,"family":"Pfeiffer","given":"John M.","affiliations":[{"id":36469,"text":"Florida Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":783595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richmond, Jonathan Q. 0000-0001-9398-4894 jrichmond@usgs.gov","orcid":"https://orcid.org/0000-0001-9398-4894","contributorId":5400,"corporation":false,"usgs":true,"family":"Richmond","given":"Jonathan","email":"jrichmond@usgs.gov","middleInitial":"Q.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783591,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whitelaw, A","contributorId":222940,"corporation":false,"usgs":false,"family":"Whitelaw","given":"A","email":"","affiliations":[{"id":40629,"text":"Working Dogs for Conservation","active":true,"usgs":false}],"preferred":false,"id":783596,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richards, NL","contributorId":222941,"corporation":false,"usgs":false,"family":"Richards","given":"NL","email":"","affiliations":[{"id":40629,"text":"Working Dogs for Conservation","active":true,"usgs":false}],"preferred":false,"id":783597,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Westphal, Michael F.","contributorId":192139,"corporation":false,"usgs":false,"family":"Westphal","given":"Michael","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":783598,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sacks, BN","contributorId":222942,"corporation":false,"usgs":false,"family":"Sacks","given":"BN","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":783599,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70206334,"text":"70206334 - 2019 - Eruption age and duration of the ~9 km3 Burney Mountain dacite dome complex, northern California","interactions":[],"lastModifiedDate":"2019-10-31T08:15:12","indexId":"70206334","displayToPublicDate":"2019-10-30T08:13:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Eruption age and duration of the ~9 km3 Burney Mountain dacite dome complex, northern California","docAbstract":"At ~9 km3, the six dacite domes of Burney Mountain (db1–db6) constitute the most voluminous Quaternary dome complex in the Cascades volcanic arc. Whole-rock geochemistry, electron microprobe, and petrographic data indicate that the domes are magmatically related, which, when integrated with geomorphology and stratigraphy, indicate early (db1, db2, db3) and late (db4, db5, db6) erupted groups. We present 40Ar/39Ar ages of 271.9±4.6 ka (db1), 280.8±8.2 and 281.7±6.8 ka (db2), and 290.2±6.0 ka (db3) along with a previous age of 280±12 ka (db1). These ages scatter over 20 kyr, whereas remanent magnetic directions are similar between 53.3–59.0° inclination and 352.7–355.9° declination. The latter dataset indicates that the dacite domes were emplaced over a geologically brief time interval; not thousands of years. Crystal-size distribution patterns of plagioclase were used to calculate residence times, which we use to infer the duration over which the eruptions likely occurred. Three slopes represent three populations of plagioclase crystals (fine-grained groundmass, coarse-grained groundmass, phenocrysts). A commonly used growth rate for plagioclase in dacitic magmas (10-10 mm/s) yields 9–10 years of growth for the coarse-grained groundmass (early erupted domes of db1, db2, db3), whereas plagioclase in the fine-grained groundmass (late erupted domes of db4, db5, db6) grew over 4–5 years. All plagioclase phenocrysts have apparent residence times of 26–36 years; however, they contain high An>70 resorbed cores with sieve textures, which have euhedral, lower An<65 overgrowth rims. Similarities in chemistry between groundmass plagioclase and phenocryst overgrowth rims indicate that they grew concurrently, and we therefore propose that both have similar residence times. Thus, the Burney Mountain dacite dome complex was emplaced during a single eruptive episode over the course of years to decades at 281.1±4.8 ka (weighted mean age).","language":"English","publisher":"Geological Society of America","doi":"10.1130/B35240.1","usgsCitation":"Downs, D.T., Clynne, M.A., Champion, D.E., and Muffler, L.P., 2019, Eruption age and duration of the ~9 km3 Burney Mountain dacite dome complex, northern California: Geological Society of America Bulletin, 15 p., https://doi.org/10.1130/B35240.1.","productDescription":"15 p.","ipdsId":"IP-104567","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":368793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Northern California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.365234375,\n 42.08191667830631\n ],\n [\n -124.8486328125,\n 40.78054143186033\n ],\n [\n -123.22265625000001,\n 38.03078569382294\n ],\n [\n -119.02587890624999,\n 38.34165619279595\n ],\n [\n -119.88281249999999,\n 39.198205348894795\n ],\n [\n -120.03662109374999,\n 42.114523952464246\n ],\n [\n -124.365234375,\n 42.08191667830631\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":774185,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clynne, Michael A. 0000-0002-4220-2968 mclynne@usgs.gov","orcid":"https://orcid.org/0000-0002-4220-2968","contributorId":2032,"corporation":false,"usgs":true,"family":"Clynne","given":"Michael","email":"mclynne@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":774186,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":774187,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muffler, L.J. Patrick 0000-0001-6638-7218 pmuffler@usgs.gov","orcid":"https://orcid.org/0000-0001-6638-7218","contributorId":3322,"corporation":false,"usgs":true,"family":"Muffler","given":"L.J.","email":"pmuffler@usgs.gov","middleInitial":"Patrick","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":774188,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70236851,"text":"70236851 - 2019 - Responses of the odd couple Carquinez, CA, suspension bridge during the Mw6.0 south Napa earthquake of August 24, 2014","interactions":[],"lastModifiedDate":"2022-09-20T11:41:41.118882","indexId":"70236851","displayToPublicDate":"2019-10-30T06:37:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12597,"text":"Journal of Civil Structural Health Monitoring","active":true,"publicationSubtype":{"id":10}},"title":"Responses of the odd couple Carquinez, CA, suspension bridge during the Mw6.0 south Napa earthquake of August 24, 2014","docAbstract":"

The behavior of the suspension bridge in Carquinez, CA, during the Mw6.0 24 August 2014 South Napa, CA earthquake is studied. Utilizing data from an extensive array of accelerometers that recorded the earthquake-excited motions, dynamic characteristics such as modes, corresponding frequencies and damping are identified and compared with previous studies that used ambient data of the deck only plus mathematical models. Data are systematically analyzed for vertical, transverse and torsional motions of the deck, and transverse, longitudinal and torsional motions of the towers. The transverse and vertical fundamental mode frequencies of the deck are the same (0.17 Hz) due to coupling. Higher frequencies for transverse and vertical coupled modes are also the same at 0.46 Hz and 0.98 Hz. Tower translational frequencies are 0.39 Hz in the transverse direction and 0.46 Hz in the longitudinal direction, and are also coupled with those of the deck. Coupling of torsional modes of the tower and deck is also identified. A beating effect is observed, particularly for torsional motions.

","language":"English","publisher":"Springer","doi":"10.1007/s13349-019-00363-6","usgsCitation":"Celebi, M., Ghahari, S.F., and Taciroglu, E., 2019, Responses of the odd couple Carquinez, CA, suspension bridge during the Mw6.0 south Napa earthquake of August 24, 2014: Journal of Civil Structural Health Monitoring, v. 9, p. 719-739, https://doi.org/10.1007/s13349-019-00363-6.","productDescription":"11 p.","startPage":"719","endPage":"739","ipdsId":"IP-064666","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":407043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Carquinez","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.4151611328125,\n 37.95286091815649\n ],\n [\n -121.97021484374999,\n 37.95286091815649\n ],\n [\n -121.97021484374999,\n 38.1777509666256\n ],\n [\n -122.4151611328125,\n 38.1777509666256\n ],\n [\n -122.4151611328125,\n 37.95286091815649\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2019-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":852358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ghahari, S. Farid","contributorId":168417,"corporation":false,"usgs":false,"family":"Ghahari","given":"S.","email":"","middleInitial":"Farid","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":852379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taciroglu, Ertugrul","contributorId":176616,"corporation":false,"usgs":false,"family":"Taciroglu","given":"Ertugrul","email":"","affiliations":[],"preferred":false,"id":852380,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205960,"text":"ofr20191118 - 2019 - Study design and methods for a wetland condition assessment on U.S. Fish and Wildlife Service fee-title lands in the Prairie Pothole Region of North Dakota, South Dakota, and Montana, USA","interactions":[],"lastModifiedDate":"2019-11-13T12:36:01","indexId":"ofr20191118","displayToPublicDate":"2019-10-29T16:01:53","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1118","displayTitle":"Study Design and Methods for a Wetland Condition Assessment on U.S. Fish and Wildlife Service Fee-Title Lands in the Prairie Pothole Region of North Dakota, South Dakota, and Montana, USA","title":"Study design and methods for a wetland condition assessment on U.S. Fish and Wildlife Service fee-title lands in the Prairie Pothole Region of North Dakota, South Dakota, and Montana, USA","docAbstract":"

The U.S. Fish and Wildlife Service (FWS) manages wetlands and grasslands for wildlife habitat throughout the central North American Prairie Pothole Region (PPR). PPR wetlands, or potholes, are widely recognized as critical habitats for North American migratory waterfowl, waterbirds, and other wildlife. Potholes also provide other ecosystem services such as carbon sequestration, flood mitigation, filtration of pollutants, groundwater recharge, nutrient retention, and recreational opportunities. Wetland condition assessments have been completed nationally at coarse scales, but focused, regionwide assessments of the biological condition of potholes managed by the FWS are lacking. Therefore, FWS personnel require information pertaining to the biological condition and status of wetlands on FWS fee-title lands in the PPR to support management, restoration, and acquisition efforts. The biological condition of wetlands typically is reflected by their plant communities, and these communities correspond to past and current management and anthropogenic disturbances; thus, plant communities are a suitable surrogate of wetland condition.

This report describes the study design, selection of sample sites, and field survey methods for a wetland condition assessment for FWS fee-title lands in the PPR of North Dakota, South Dakota, and Montana. Various spatial databases were gathered (for example, National Wetlands Inventory) to identify and assess potholes on FWS fee-title lands and to facilitate the selection of study sites. A spatially balanced, site-selection process resulted in the inclusion of 125 temporarily and 125 seasonally ponded potholes distributed across the area of interest; the first 100 for each classification were considered the primary study sites, whereas the remaining 25 were considered an oversample to replace those deemed not appropriate for sampling by field crews. Study sites were within native prairie and reseeded grasslands on FWS National Wildlife Refuges and Waterfowl Production Areas and are distributed among the primary physiographic subregions of the PPR: the Glaciated Plains, Missouri Coteau, and Prairie Coteau; a small number of sites also are within the Lake Agassiz Plain and Turtle Mountains. Site assessment protocols, vegetation survey methods, data analyses, and condition categories (for example, poor, good, very good) for the wetland assessment are based on the North Dakota Rapid Assessment Method and an Index of Plant Community Integrity developed for potholes. Results of the wetland condition assessment will aid FWS staff in assessing past and current management and help to identify priority areas for future management and acquisition.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191118","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service and in collaboration with North Dakota State University","usgsCitation":"Tangen, B.A., Bansal, S., Fern, R.R., DeKeyser, E.S., Hargiss, C.L.M., Mushet, D.M., and Dixon, C.S., 2019, Study design and methods for a wetland condition assessment on U.S. Fish and Wildlife Service fee-title lands in the Prairie Pothole Region of North Dakota, South Dakota, and Montana, USA: U.S. Geological Survey Open-File Report 2019–1118, 24 p., https://doi.org/10.3133/ofr20191118.","productDescription":"Report: vi, 24 p.; Appendix Figure 3.1","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-111056","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":368679,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1118/ofr20191118.pdf","text":"Report","size":"973 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1118"},{"id":368680,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1118/ofr20191118_appendix_fig_3.1.pdf","text":"Appendix figure 3.1","size":"176 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1118 Appendix Figure 1.3","linkHelpText":"– North Dakota Wetland Rapid Assessment Form"},{"id":368678,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1118/coverthb.jpg"}],"country":"United States","state":"North Dakota, South Dakota, Montana","otherGeospatial":"Prairie Pothole region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.1630859375,\n 48.60385760823255\n ],\n [\n -97.0751953125,\n 48.80686346108517\n ],\n [\n -96.9873046875,\n 49.35375571830993\n ],\n [\n -101.6015625,\n 49.35375571830993\n ],\n [\n -106.5234375,\n 49.03786794532644\n ],\n [\n -106.6552734375,\n 48.63290858589535\n ],\n [\n -105.380859375,\n 47.69497434186282\n ],\n [\n -105.29296874999999,\n 46.01222384063236\n ],\n [\n -104.32617187499999,\n 43.03677585761058\n ],\n [\n -102.48046875,\n 42.90816007196054\n ],\n [\n -96.1083984375,\n 42.52069952914966\n ],\n [\n -97.1630859375,\n 48.60385760823255\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2019-10-29","noUsgsAuthors":false,"publicationDate":"2019-10-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Tangen, Brian 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":167277,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":773056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":773057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fern, Rachel R. 0000-0003-2465-5418","orcid":"https://orcid.org/0000-0003-2465-5418","contributorId":219735,"corporation":false,"usgs":true,"family":"Fern","given":"Rachel","email":"","middleInitial":"R.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":773058,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeKeyser, Edward S.","contributorId":138601,"corporation":false,"usgs":false,"family":"DeKeyser","given":"Edward S.","affiliations":[{"id":12459,"text":"NDSU","active":true,"usgs":false}],"preferred":false,"id":773061,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hargiss, Christina L. M. 0000-0003-3918-468X","orcid":"https://orcid.org/0000-0003-3918-468X","contributorId":219736,"corporation":false,"usgs":false,"family":"Hargiss","given":"Christina","email":"","middleInitial":"L. M.","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":773062,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":773059,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dixon, Cami S.","contributorId":208032,"corporation":false,"usgs":false,"family":"Dixon","given":"Cami","email":"","middleInitial":"S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":773060,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70208123,"text":"70208123 - 2019 - Precision mapping of snail habitat provides a powerful indicator of human schistosomiasis transmission","interactions":[],"lastModifiedDate":"2020-01-28T15:53:48","indexId":"70208123","displayToPublicDate":"2019-10-29T15:45:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Precision mapping of snail habitat provides a powerful indicator of human schistosomiasis transmission","docAbstract":"Recently, the World Health Organization recognized that efforts to interrupt schistosomiasis transmission through mass drug administration have been ineffective in some regions; one of their new recommended strategies for global schistosomiasis control emphasizes targeting the freshwater snails that transmit schistosome parasites. We sought to identify robust indicators that would enable precision targeting of these snails. At the site of the world’s largest recorded schistosomiasis epidemic—the Lower Senegal River Basin in Senegal—intensive sampling revealed positive relationships between intermediate host snails (abundance, density, and prevalence) and human urogenital schistosomiasis reinfection (prevalence and intensity in schoolchildren after drug administration). However, we also found that snail distributions were so patchy in space and time that obtaining useful data required effort that exceeds what is feasible in standard monitoring and control campaigns. Instead, we identified several environmental proxies that were more effective than snail variables for predicting human infection: the area covered by suitable snail habitat (i.e., floating, nonemergent vegetation), the percent cover by suitable snail habitat, and size of the water contact area. Unlike snail surveys, which require hundreds of person-hours per site to conduct, habitat coverage and site area can be quickly estimated with drone or satellite imagery. This, in turn, makes possible large-scale, high-resolution estimation of human urogenital schistosomiasis risk to support targeting of both mass drug administration and snail control efforts.","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.1903698116","usgsCitation":"Wood, C.L., Sokolow, S.H., Jones, I.J., Chamberlin, A.J., Lafferty, K.D., Kuris, A.M., Jocque, M.M., Hopkins, S.R., Adams, G., Buck, J.C., Lund, A.J., Garcia-Vedrenne, A.E., Fiorenza, E., Rohr, J.R., Allan, F., Webster, B., Rabone, M., Webster, J.P., Bandagny, L., Ndione, R., Senghor, S., Schacht, A., Jouanard, N., Riveau, G., and De Leo, G.A., 2019, Precision mapping of snail habitat provides a powerful indicator of human schistosomiasis transmission: PNAS, v. 449, no. 787, p. 23182-23191, https://doi.org/10.1073/pnas.1903698116.","productDescription":"10 p.","startPage":"23182","endPage":"23191","ipdsId":"IP-110821","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":459332,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1903698116","text":"Publisher Index Page"},{"id":371660,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Senegal","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -16.36688232421875,\n 15.786967677939279\n ],\n [\n -15.542907714843748,\n 15.786967677939279\n ],\n [\n -15.542907714843748,\n 16.549328935473294\n ],\n [\n -16.36688232421875,\n 16.549328935473294\n ],\n [\n -16.36688232421875,\n 15.786967677939279\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"449","issue":"787","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Chelsea L.","contributorId":192504,"corporation":false,"usgs":false,"family":"Wood","given":"Chelsea","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":780581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sokolow, Susanne H.","contributorId":52503,"corporation":false,"usgs":false,"family":"Sokolow","given":"Susanne","email":"","middleInitial":"H.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":780582,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Isabel J.","contributorId":173135,"corporation":false,"usgs":false,"family":"Jones","given":"Isabel","email":"","middleInitial":"J.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":780584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chamberlin, Andrew J","contributorId":221866,"corporation":false,"usgs":false,"family":"Chamberlin","given":"Andrew","email":"","middleInitial":"J","affiliations":[{"id":40446,"text":"Hopkins Marine Station, Stanford University","active":true,"usgs":false}],"preferred":false,"id":780583,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780580,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kuris, Armand M.","contributorId":189859,"corporation":false,"usgs":false,"family":"Kuris","given":"Armand","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":780585,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jocque, Merlijn M. T.","contributorId":178115,"corporation":false,"usgs":false,"family":"Jocque","given":"Merlijn","email":"","middleInitial":"M. T.","affiliations":[],"preferred":false,"id":780586,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hopkins, Skylar R.","contributorId":203515,"corporation":false,"usgs":false,"family":"Hopkins","given":"Skylar","email":"","middleInitial":"R.","affiliations":[{"id":36642,"text":"National Center for Ecological Analysis and Synthesis, Santa Barbara,","active":true,"usgs":false}],"preferred":false,"id":780587,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Adams, Grant","contributorId":221867,"corporation":false,"usgs":false,"family":"Adams","given":"Grant","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":780588,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Buck, Julia C","contributorId":192180,"corporation":false,"usgs":false,"family":"Buck","given":"Julia","email":"","middleInitial":"C","affiliations":[],"preferred":false,"id":780589,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lund, Andrea J","contributorId":221868,"corporation":false,"usgs":false,"family":"Lund","given":"Andrea","email":"","middleInitial":"J","affiliations":[{"id":40447,"text":"Emmett Interdisciplinary Program in Environment and Resources, Stanford University","active":true,"usgs":false}],"preferred":false,"id":780590,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Garcia-Vedrenne, Ana E 0000-0002-3518-1564","orcid":"https://orcid.org/0000-0002-3518-1564","contributorId":221869,"corporation":false,"usgs":false,"family":"Garcia-Vedrenne","given":"Ana","email":"","middleInitial":"E","affiliations":[{"id":40448,"text":"Department of Ecology and Evolutionary Biology, University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":780591,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Fiorenza, Evan","contributorId":221870,"corporation":false,"usgs":false,"family":"Fiorenza","given":"Evan","affiliations":[{"id":13190,"text":"School of Aquatic and Fishery Sciences, University of Washington","active":true,"usgs":false}],"preferred":false,"id":780593,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rohr, Jason R.","contributorId":221798,"corporation":false,"usgs":false,"family":"Rohr","given":"Jason","email":"","middleInitial":"R.","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":780594,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Allan, Fiona","contributorId":221871,"corporation":false,"usgs":false,"family":"Allan","given":"Fiona","email":"","affiliations":[{"id":40449,"text":"Wolfson Wellcome Biomedical Laboratories, Department of Life Sciences, Natural History Museum, London","active":true,"usgs":false}],"preferred":false,"id":780595,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Webster, Bonnie","contributorId":221872,"corporation":false,"usgs":false,"family":"Webster","given":"Bonnie","email":"","affiliations":[{"id":40449,"text":"Wolfson Wellcome Biomedical Laboratories, Department of Life Sciences, Natural History Museum, London","active":true,"usgs":false}],"preferred":false,"id":780596,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Rabone, Muriel","contributorId":221873,"corporation":false,"usgs":false,"family":"Rabone","given":"Muriel","email":"","affiliations":[{"id":40449,"text":"Wolfson Wellcome Biomedical Laboratories, Department of Life Sciences, Natural History Museum, London","active":true,"usgs":false}],"preferred":false,"id":780597,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Webster, Joanne P","contributorId":221874,"corporation":false,"usgs":false,"family":"Webster","given":"Joanne","email":"","middleInitial":"P","affiliations":[{"id":40450,"text":"London Centre for Neglected Tropical Disease Research, Imperial College London School of Public Health","active":true,"usgs":false}],"preferred":false,"id":780598,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Bandagny, Lydie","contributorId":221875,"corporation":false,"usgs":false,"family":"Bandagny","given":"Lydie","email":"","affiliations":[{"id":40451,"text":"Biomedical Research Center Espoir Pour La Santé, BP 226 Saint-Louis, Senegal","active":true,"usgs":false}],"preferred":false,"id":780599,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Ndione, Raphael","contributorId":221876,"corporation":false,"usgs":false,"family":"Ndione","given":"Raphael","email":"","affiliations":[{"id":40451,"text":"Biomedical Research Center Espoir Pour La Santé, BP 226 Saint-Louis, Senegal","active":true,"usgs":false}],"preferred":false,"id":780600,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Senghor, Simon","contributorId":146319,"corporation":false,"usgs":false,"family":"Senghor","given":"Simon","email":"","affiliations":[{"id":16667,"text":"Laboratoire de Recherches Biomedicales","active":true,"usgs":false}],"preferred":false,"id":780601,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Schacht, Anne-Marie","contributorId":221877,"corporation":false,"usgs":false,"family":"Schacht","given":"Anne-Marie","email":"","affiliations":[{"id":40451,"text":"Biomedical Research Center Espoir Pour La Santé, BP 226 Saint-Louis, Senegal","active":true,"usgs":false}],"preferred":false,"id":780602,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Jouanard, Nicolas","contributorId":146316,"corporation":false,"usgs":false,"family":"Jouanard","given":"Nicolas","email":"","affiliations":[{"id":16664,"text":"20/20 Initiative","active":true,"usgs":false}],"preferred":false,"id":780603,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Riveau, Gilles","contributorId":146318,"corporation":false,"usgs":false,"family":"Riveau","given":"Gilles","email":"","affiliations":[{"id":16666,"text":"Institut Pasteur de Lille; laboratoire de Recherches Biomedicales","active":true,"usgs":false}],"preferred":false,"id":780604,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"De Leo, Giulio A.","contributorId":146323,"corporation":false,"usgs":false,"family":"De Leo","given":"Giulio","email":"","middleInitial":"A.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":780605,"contributorType":{"id":1,"text":"Authors"},"rank":25}]}} ,{"id":70208138,"text":"70208138 - 2019 - Impact of down-dip rupture limit and high stress drop subevents on coseismic land-level change during Cascadia megathrust earthquakes","interactions":[],"lastModifiedDate":"2020-01-29T17:10:15","indexId":"70208138","displayToPublicDate":"2019-10-29T07:07:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Impact of down-dip rupture limit and high stress drop subevents on coseismic land-level change during Cascadia megathrust earthquakes","docAbstract":"Seismic hazard associated with Cascadia megathrust earthquakes is strongly dependent on the landward rupture extent and heterogeneous fault properties. We use 3-D numerical simulations and a seismic velocity model for Cascadia to estimate coseismic deformation due to ~M9 earthquake scenarios. Our earthquake source model is based on observations of the 2010 M8.8 Maule and 2011 M9.0 Tohoku earthquakes, which exhibited distinct strong-motion-generating subevents in the deeper portions of the fault. We compare our estimates for land-level change to paleoseismic estimates for coseismic coastal subsidence during the A.D. 1700 Cascadia earthquake. Results show that megathrust rupture extending to the 1 cm/yr locking contour provides a good match to geologic data, and along-strike variations in coastal subsidence can be produced by including strong-motion-generating subevents in the down-dip regions of the megathrust. This work demonstrates the potential to improve seismic hazard estimates for Cascadia earthquakes by comparing physics-based earthquake simulations with geologic observations.","language":"English","publisher":"American Geophysical Union","doi":"10.1785/0120190043","usgsCitation":"Wirth, E.A., and Frankel, A.D., 2019, Impact of down-dip rupture limit and high stress drop subevents on coseismic land-level change during Cascadia megathrust earthquakes: Geophysical Research Letters, v. 109, no. 6, p. 2187-2197, https://doi.org/10.1785/0120190043.","productDescription":"11 p.","startPage":"2187","endPage":"2197","ipdsId":"IP-099660","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":371679,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Cascadian Fault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -134.6044921875,\n 55.10351605801967\n ],\n [\n -134.6923828125,\n 54.95238569063361\n ],\n [\n -134.4287109375,\n 52.8823912222619\n ],\n [\n -130.1220703125,\n 48.63290858589535\n ],\n [\n -127.61718749999999,\n 45.336701909968134\n ],\n [\n -124.541015625,\n 42.19596877629178\n ],\n [\n -121.640625,\n 43.61221676817573\n ],\n [\n -121.9482421875,\n 49.66762782262194\n ],\n [\n -126.5185546875,\n 56.77680831656842\n ],\n [\n -134.6044921875,\n 55.10351605801967\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"109","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Wirth, Erin A. 0000-0002-8592-4442","orcid":"https://orcid.org/0000-0002-8592-4442","contributorId":197865,"corporation":false,"usgs":true,"family":"Wirth","given":"Erin","email":"","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":780682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":146285,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":780683,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70208915,"text":"70208915 - 2019 - Exploring trends in wet-season precipitation and drought indices in wet, humid and dry regions","interactions":[],"lastModifiedDate":"2020-03-05T06:31:26","indexId":"70208915","displayToPublicDate":"2019-10-29T06:29:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Exploring trends in wet-season precipitation and drought indices in wet, humid and dry regions","docAbstract":"This study examines wet season droughts using eight products from the FROGS database. The study begins by evaluating wet season precipitation totals and wet day counts at seasonal and decadal time scales. While we find a high level of agreement among the products at a seasonal timescale, evaluations of 10-year variability indicate substantial non-stationary inter-product differences that make the assessment of low-frequency changes difficult, especially in data-sparse regions. Some products, however, appear more reliable than others on decadal time scales. Global time series of dry, middle, and wet region standardized precipitation index (SPI) time series indicate little coherent change. There is substantial coherence in year-to-year variations in these time series, for the better performing products, likely indicative of skill for monitoring variations at large spatial scales. During the wet season, the data do not appear to indicate wide spread global increases in precipitation, RefET or Standardized Precipitation Evapotranspiration Index (SPEI) values. Neither the precipitation, RefET or SPEI indicate a wide-spread regional shift towards more arid conditions. Focusing on SPEI values for dry regions during droughts, however, indicate substantial increases in dry region aridity when wet season precipitation is below normal. Dry region SPEI values during droughts have decreased by -0.2 since the 1990s. More detailed analysis in further studies will be needed to confirm this result. For wet regions, however, the majority of products appear to indicate increases in wet season precipitation, although many products perform poorly in these regions due to limited observation networks, and estimated increases vary substantially.","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ab4a6c","usgsCitation":"Funk, C., Harrison, L., Alexander, L., Peterson, P., Behrangi, A., and Husak, G., 2019, Exploring trends in wet-season precipitation and drought indices in wet, humid and dry regions: Environmental Research Letters, v. 14, no. 11, 115002, 13 p., https://doi.org/10.1088/1748-9326/ab4a6c.","productDescription":"115002, 13 p.","ipdsId":"IP-107855","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":459335,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ab4a6c","text":"Publisher Index Page"},{"id":372938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"11","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":783982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harrison, Laura","contributorId":192382,"corporation":false,"usgs":false,"family":"Harrison","given":"Laura","email":"","affiliations":[],"preferred":false,"id":783984,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alexander, Lisa","contributorId":223054,"corporation":false,"usgs":false,"family":"Alexander","given":"Lisa","email":"","affiliations":[{"id":40656,"text":"Climate Change Research Centre, UNSW Sydney","active":true,"usgs":false}],"preferred":false,"id":783983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, Pete","contributorId":192379,"corporation":false,"usgs":false,"family":"Peterson","given":"Pete","affiliations":[],"preferred":false,"id":783985,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Behrangi, Ali","contributorId":223057,"corporation":false,"usgs":false,"family":"Behrangi","given":"Ali","email":"","affiliations":[{"id":40658,"text":"University of Arizona, Department of Hydrology and Atmospheric Sciences","active":true,"usgs":false}],"preferred":false,"id":783986,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Husak, Gregory","contributorId":145811,"corporation":false,"usgs":false,"family":"Husak","given":"Gregory","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":783987,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70208702,"text":"70208702 - 2019 - Quantitative guidance for efficient vertical flow measurements at the sediment-water interface using temperature-depth profiles","interactions":[],"lastModifiedDate":"2020-02-25T12:24:34","indexId":"70208702","displayToPublicDate":"2019-10-28T12:22:50","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative guidance for efficient vertical flow measurements at the sediment-water interface using temperature-depth profiles","docAbstract":"Upward discharge to surface water bodies can be quantified using analytical models based on temperature-depth (T-z) profiles. The use of sediment T-z profiles is attractive as discharge estimates can be obtained using point-in-time data that are collected inexpensively and rapidly. Previous studies have identified that T-z methods can only be applied at times of the year when there is significant difference between the streambed-water interface and deeper sediment temperatures (e.g., winter and summer). However, surface water temperatures also vary diurnally, and the influence of these variations on discharge estimates from T-z methods is poorly understood. For this study, synthetic T-z profiles were generated numerically using measured streambed interface temperature data to assess the influence of diurnal temperature variations on discharge estimation and provide insight into the suitable application of T-z methods. Results show that the time of day of data collection can have a substantial influence on vertical flux estimates using T-z methods. For low groundwater discharge fluxes (e.g. 0.1 m d-1), daily transience in streambed temperatures led to relatively large errors in estimated flow magnitude and direction. For higher discharge fluxes (1.5 m d-1), the influence of transient streambed temperatures on discharge estimates was strongly reduced. Discharge estimates from point-in-time T-z profiles were most accurate when the uppermost point in the T-z profile was near the bed interface daily mean (two time periods daily). Where temperature time series data are available, daily averaged T-z profiles can produce accurate discharge estimates across a wide range of discharge rates. Seasonality in shallow groundwater temperature generally had a negligible influence on vertical flow estimates. These findings can be used to plan field campaigns and provide guidance on the optimal application of T-z methods to quantify vertical groundwater discharge to surface water bodies.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13614","usgsCitation":"Irvine, D., Kurylyk, B., and Briggs, M.A., 2019, Quantitative guidance for efficient vertical flow measurements at the sediment-water interface using temperature-depth profiles: Hydrological Processes, v. 34, no. 3, p. 649-661, https://doi.org/10.1002/hyp.13614.","productDescription":"13 p.","startPage":"649","endPage":"661","ipdsId":"IP-112901","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":459337,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/hyp.13614","text":"External Repository"},{"id":372626,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Irvine, D.","contributorId":222757,"corporation":false,"usgs":false,"family":"Irvine","given":"D.","email":"","affiliations":[{"id":40595,"text":"Flinders University","active":true,"usgs":false}],"preferred":false,"id":783088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kurylyk, B.","contributorId":222758,"corporation":false,"usgs":false,"family":"Kurylyk","given":"B.","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":783089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783087,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202538,"text":"sim3429 - 2019 - Geologic map of the Ferncliff and Louisa quadrangles, Louisa, Fluvanna, and Goochland Counties, Virginia","interactions":[],"lastModifiedDate":"2019-10-28T09:26:09","indexId":"sim3429","displayToPublicDate":"2019-10-28T10:30:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3429","displayTitle":"Geologic Map of the Ferncliff and Louisa Quadrangles, Louisa, Fluvanna, and Goochland Counties, Virginia","title":"Geologic map of the Ferncliff and Louisa quadrangles, Louisa, Fluvanna, and Goochland Counties, Virginia","docAbstract":"

The area encompassed by the geologic map of the Ferncliff and Louisa, Va., 7.5-minute quadrangles includes the hypothetical surface projection of the Quail fault, which is the subsurface fault that was responsible for the 2011 magnitude 5.8 (M5.8) Mineral, Va., earthquake. The mapping shows that the Quail fault appears to have reactivated the Harris Creek fault, a Paleozoic fault that has been mapped and named in the study area and marks the boundary between the Ellisville pluton neck and Chopawamsic Formation. The Harris Creek fault was also reactivated in the early Mesozoic. Another result of the mapping is a well-defined, southwest to northeast, narrow zone of metagraywacke and ultramafic rocks (both part of the informal Shores complex) that marks the closure of a small ocean basin and the accretion of the 468- to 460-Ma (mega-annum) Ordovician Chopawamsic volcanic arc (part of the Carolina terrane) onto Laurentia. The accretion zone is truncated by the Ordovician-Silurian (444 Ma) Ellisville pluton; the 444-Ma age of the pluton therefore represents the minimum age of the accretion zone and indicates likely closure of the ocean basin during the Taconic orogeny. Across the map area, the metamorphic grade ranges from lower-greenschist facies in the northwest to amphibolite facies in the southeast. 40Ar/39Ar age-dating across this metamorphic gradient indicates that Taconic metamorphism was overprinted by late-Paleozoic Alleghanian metamorphism that was accompanied by refolding and faulting of Taconic structures. Quaternary terraces mapped along the South Anna River record a long history of incision and downcutting. A continuing question is how much of this downcutting was a result of neotectonic uplift in the central Virginia seismic zone.

This report consists of a single geologic map sheet and an online geographic information systems database that includes bedrock geologic unit contacts and polygons, surficial geologic polygons, faults, and structural geologic information.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3429","usgsCitation":"Burton, W.C., Harrison, R.W., Malenda, H.F., Pazzaglia, F.J., and Crider, E.A., Jr., 2019, Geologic map of the Ferncliff and Louisa quadrangles, Louisa, Fluvanna, and Goochland Counties, Virginia: U.S. Geological Survey Scientific Investigations Map 3429, 1 sheet, scale 1:24,000, https://doi.org/10.3133/sim3429.","productDescription":"1 Sheet: 41.75 x 75 inches; Database; Metadata; ReadMe","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-078814","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":361907,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3429/coverthb.jpg"},{"id":367986,"rank":7,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3429/FerncliffandLouisaVAopenaccess.zip","text":"SIM 3429 Open Access","size":"3.59 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3429"},{"id":367985,"rank":6,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3429/FerncliffandLouisaVAbasemap.zip","text":"SIM 3429 Base Map","size":"22.7 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3429"},{"id":361908,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3429/FerncliffandLouisaVAmetadata.zip","text":"SIM 3429 Metadata","size":"213 KB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3429"},{"id":367984,"rank":5,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3429/sim3429_readme.txt","text":"SIM 3429 Read Me","size":"10.3 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3429"},{"id":361910,"rank":3,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3429/FerncliffandLouisaVAdatabase.zip","text":"SIM 3429 GIS Database","size":"2.85 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3429"},{"id":361911,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3429/sim3429_sheet.pdf","text":"Geologic Map","size":"118 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3429"}],"country":"United States","state":"Virginia","county":" Louisa County, Fluvanna County, Goochland County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-78.1628,37.7449],[-78.1674,37.7463],[-78.1721,37.7468],[-78.1814,37.7442],[-78.1879,37.7407],[-78.1979,37.7335],[-78.2103,37.7268],[-78.2262,37.7148],[-78.2327,37.7076],[-78.2382,37.6927],[-78.2429,37.6905],[-78.2493,37.6896],[-78.2626,37.6943],[-78.2747,37.7003],[-78.2839,37.7076],[-78.2891,37.7095],[-78.3117,37.7138],[-78.3274,37.7158],[-78.3407,37.7195],[-78.3529,37.726],[-78.3609,37.7306],[-78.3725,37.733],[-78.4033,37.7355],[-78.4398,37.7476],[-78.4595,37.7578],[-78.4756,37.771],[-78.4847,37.7897],[-78.4905,37.792],[-78.4904,37.797],[-78.4874,37.8011],[-78.3058,38.007],[-78.2552,38.0636],[-78.2253,38.1046],[-78.2079,38.1307],[-78.1914,38.1341],[-78.1692,38.1339],[-78.1627,38.1375],[-78.1522,38.1382],[-78.1486,38.14],[-78.1444,38.1445],[-78.1427,38.1445],[-78.1351,38.1412],[-78.1264,38.1407],[-78.1187,38.1415],[-78.1146,38.1446],[-78.1133,38.1496],[-78.1051,38.1522],[-78.094,38.1521],[-78.0899,38.1489],[-78.0772,38.1433],[-78.0713,38.1428],[-78.0661,38.1418],[-78.0562,38.1381],[-78.0393,38.1356],[-78.0293,38.1382],[-78.024,38.1404],[-78.0199,38.1404],[-78.0146,38.138],[-78.0094,38.1362],[-78.0018,38.1365],[-77.9983,38.136],[-77.9948,38.1333],[-77.9845,38.1227],[-77.9787,38.1208],[-77.9699,38.1221],[-77.96,38.1192],[-77.9559,38.1183],[-77.9524,38.1178],[-77.9477,38.1191],[-77.9436,38.1195],[-77.9367,38.1162],[-77.9285,38.1156],[-77.9174,38.1169],[-77.9145,38.1164],[-77.9087,38.1118],[-77.9006,38.1094],[-77.8929,38.1116],[-77.8894,38.112],[-77.8749,38.1072],[-77.8626,38.1057],[-77.8597,38.1039],[-77.8551,38.1006],[-77.8493,38.1006],[-77.8452,38.1014],[-77.8416,38.1054],[-77.8381,38.1058],[-77.8157,38.0874],[-77.8117,38.0801],[-77.8077,38.0782],[-77.7919,38.078],[-77.785,38.0752],[-77.7821,38.0715],[-77.784,38.0652],[-77.7823,38.0634],[-77.7638,38.0531],[-77.7592,38.0494],[-77.7545,38.0498],[-77.751,38.0525],[-77.7481,38.0516],[-77.7458,38.0488],[-77.7467,38.0361],[-77.7481,38.0257],[-77.7464,38.0248],[-77.7446,38.0252],[-77.7416,38.0297],[-77.7386,38.0324],[-77.7351,38.0323],[-77.7304,38.0313],[-77.7299,38.0286],[-77.7306,38.0236],[-77.7289,38.0223],[-77.7225,38.0235],[-77.7201,38.0226],[-77.719,38.0199],[-77.711,38.0134],[-77.6999,38.0123],[-77.6936,38.0081],[-77.6878,38.0081],[-77.8004,37.7332],[-77.7907,37.7271],[-77.6923,37.7053],[-77.6638,37.7035],[-77.649,37.7133],[-77.6318,37.7057],[-77.6404,37.6846],[-77.6506,37.6494],[-77.6542,37.6449],[-77.6555,37.639],[-77.6517,37.6276],[-77.6525,37.6195],[-77.644,37.6107],[-77.6419,37.6044],[-77.639,37.6016],[-77.6309,37.5997],[-77.6286,37.5983],[-77.6282,37.5933],[-77.6259,37.591],[-77.6184,37.5886],[-77.6175,37.5804],[-77.6216,37.5777],[-77.6344,37.5766],[-77.6362,37.5748],[-77.6358,37.568],[-77.6393,37.5658],[-77.6492,37.5677],[-77.6562,37.5656],[-77.6613,37.5684],[-77.6688,37.5717],[-77.6757,37.5749],[-77.6803,37.5768],[-77.6826,37.5778],[-77.6832,37.5782],[-77.6849,37.5796],[-77.686,37.5805],[-77.6889,37.5824],[-77.7027,37.5885],[-77.7067,37.5899],[-77.7085,37.5899],[-77.7178,37.5883],[-77.7195,37.5883],[-77.7213,37.5883],[-77.723,37.5883],[-77.7236,37.5883],[-77.7248,37.5884],[-77.7271,37.5889],[-77.7288,37.5893],[-77.7305,37.5898],[-77.7317,37.5903],[-77.7351,37.5921],[-77.7374,37.5935],[-77.7386,37.5945],[-77.7414,37.5963],[-77.7437,37.5977],[-77.7443,37.5982],[-77.746,37.5991],[-77.7489,37.601],[-77.7506,37.6023],[-77.754,37.6065],[-77.7557,37.6083],[-77.7574,37.6097],[-77.7585,37.6106],[-77.7602,37.6115],[-77.7625,37.6125],[-77.773,37.6135],[-77.7759,37.6136],[-77.7782,37.6136],[-77.7799,37.6136],[-77.7811,37.6137],[-77.7834,37.6137],[-77.7927,37.6129],[-77.7956,37.6125],[-77.7974,37.6121],[-77.7992,37.6116],[-77.8003,37.6112],[-77.8009,37.6108],[-77.8015,37.6103],[-77.8027,37.6094],[-77.805,37.6081],[-77.8062,37.6077],[-77.808,37.6072],[-77.8097,37.6073],[-77.8109,37.6073],[-77.812,37.6073],[-77.8213,37.6097],[-77.8224,37.6106],[-77.8235,37.6129],[-77.8235,37.6142],[-77.8221,37.6246],[-77.8272,37.6302],[-77.8329,37.6357],[-77.8363,37.638],[-77.8381,37.6389],[-77.8398,37.6399],[-77.8409,37.6403],[-77.8432,37.6413],[-77.8461,37.6422],[-77.8478,37.6427],[-77.8502,37.6432],[-77.8513,37.6436],[-77.8531,37.6441],[-77.8691,37.6538],[-77.8737,37.658],[-77.876,37.6594],[-77.8789,37.6603],[-77.88,37.6608],[-77.8829,37.6622],[-77.8869,37.6641],[-77.8898,37.6655],[-77.8921,37.6664],[-77.8973,37.6696],[-77.8984,37.6706],[-77.9001,37.6724],[-77.9018,37.6751],[-77.9029,37.6774],[-77.9074,37.6852],[-77.908,37.6861],[-77.9085,37.6875],[-77.9102,37.6898],[-77.9119,37.6907],[-77.9131,37.6912],[-77.916,37.6921],[-77.92,37.6926],[-77.9212,37.6926],[-77.9224,37.6926],[-77.9241,37.6922],[-77.9265,37.6913],[-77.9288,37.69],[-77.9394,37.6847],[-77.9429,37.6829],[-77.9435,37.6825],[-77.9447,37.6816],[-77.9453,37.6811],[-77.9465,37.6802],[-77.9482,37.6785],[-77.9489,37.6776],[-77.9494,37.6767],[-77.9501,37.6758],[-77.9543,37.669],[-77.9549,37.6681],[-77.9555,37.6668],[-77.9573,37.6632],[-77.9573,37.6609],[-77.9568,37.6591],[-77.9563,37.6577],[-77.9557,37.6568],[-77.9551,37.6559],[-77.954,37.6545],[-77.9483,37.6485],[-77.946,37.6458],[-77.9455,37.6449],[-77.9449,37.644],[-77.9444,37.6417],[-77.9444,37.6408],[-77.9457,37.6354],[-77.9469,37.6331],[-77.9481,37.6318],[-77.9493,37.6304],[-77.9504,37.6295],[-77.9546,37.6269],[-77.9557,37.6264],[-77.9569,37.626],[-77.9587,37.6255],[-77.9598,37.6256],[-77.9616,37.6256],[-77.9627,37.6256],[-77.9645,37.6256],[-77.9709,37.6248],[-77.975,37.6244],[-77.9773,37.6244],[-77.979,37.6249],[-77.9865,37.6273],[-77.9877,37.6277],[-77.9905,37.6291],[-77.9934,37.6305],[-77.994,37.631],[-78.0061,37.6388],[-78.0083,37.6402],[-78.0112,37.6412],[-78.0164,37.6426],[-78.0269,37.6432],[-78.0449,37.6434],[-78.0652,37.6477],[-78.0721,37.6514],[-78.0755,37.6551],[-78.0806,37.6606],[-78.0886,37.6684],[-78.0938,37.6707],[-78.1043,37.6704],[-78.1106,37.6713],[-78.1146,37.675],[-78.1169,37.6791],[-78.1151,37.6818],[-78.1057,37.6881],[-78.0974,37.6952],[-78.0949,37.7034],[-78.0994,37.712],[-78.108,37.718],[-78.1277,37.725],[-78.1379,37.7356],[-78.1628,37.7449]]]},\"properties\":{\"name\":\"Fluvanna\",\"state\":\"VA\"}}]}","contact":"

Florence Bascom Geoscience Center
U.S. Geological Survey
926A National Center
12201 Sunrise Valley Drive
Reston, VA 20192

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-10-16","noUsgsAuthors":false,"publicationDate":"2019-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Burton, William C. 0000-0001-7519-5787 bburton@usgs.gov","orcid":"https://orcid.org/0000-0001-7519-5787","contributorId":1293,"corporation":false,"usgs":true,"family":"Burton","given":"William","email":"bburton@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":759004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harrison, Richard W. rharriso@usgs.gov","contributorId":214044,"corporation":false,"usgs":true,"family":"Harrison","given":"Richard","email":"rharriso@usgs.gov","middleInitial":"W.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":759005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Malenda, Helen F. 0000-0003-4143-6460","orcid":"https://orcid.org/0000-0003-4143-6460","contributorId":211885,"corporation":false,"usgs":false,"family":"Malenda","given":"Helen","email":"","middleInitial":"F.","affiliations":[{"id":38341,"text":"Colorodo School of Mines","active":true,"usgs":false}],"preferred":true,"id":759006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pazzaglia, Frank J.","contributorId":214045,"corporation":false,"usgs":false,"family":"Pazzaglia","given":"Frank","email":"","middleInitial":"J.","affiliations":[{"id":16160,"text":"Lehigh University","active":true,"usgs":false}],"preferred":false,"id":759007,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crider,, E. Allen Jr. 0000-0003-2393-5290 ecrider@usgs.gov","orcid":"https://orcid.org/0000-0003-2393-5290","contributorId":203507,"corporation":false,"usgs":true,"family":"Crider,","given":"E. Allen","suffix":"Jr.","email":"ecrider@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":759008,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}