{"pageNumber":"320","pageRowStart":"7975","pageSize":"25","recordCount":41075,"records":[{"id":70206050,"text":"70206050 - 2019 - User guide to the FireCLIME Vulnerability Assessment (VA) Tool: A rapid and flexible system for assessing ecosystem vulnerability to climate-fire interactions","interactions":[],"lastModifiedDate":"2019-10-22T07:46:48","indexId":"70206050","displayToPublicDate":"2019-10-22T07:46:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"User guide to the FireCLIME Vulnerability Assessment (VA) Tool: A rapid and flexible system for assessing ecosystem vulnerability to climate-fire interactions","docAbstract":"Decisionmakers need better methods for identifying critical ecosystem vulnerabilities to changing climate and fire regimes. Climate-wildfire-vegetation interactions are complex and hinder classification and projection necessary for development of management strategies. One such vulnerability assessment (VA) is FireCLIME VA, which allows users to compare management strategies under various climate scenarios and gauge the potential effectiveness of those strategies for reducing undesirable impacts of climate on wildfire regimes and resulting impacts of wildfire on natural ecosystems. Developed as part of the SW FireCLIME science-management partnership, FireCLIME is meant to be quick, flexible, and amendable to a range of data inputs (literature review, expert, and modeling or monitoring activities), allowing users to easily compare various fire-climate outcomes for one or more ecosystems of interest. Users can use literature, hypothetical scenarios, or quantitative data to implement the FireCLIME VA tool. This tool, unlike other vulnerability assessment, is best used iteratively to explore a range of possible scenarios and management strategies.","language":"English","publisher":"US Forest Service","collaboration":"USFS, Northern Arizona University, University of Central Arkansas, University of Arizona, The Forest Guild, National Park Service, Utah State University","usgsCitation":"Friggens, M., Loehman, R.A., Thode, A., Flatley, W.T., Evans, A., Bunn, W., Wilcox, C., Mueller, S., Yocum, L., and Falk, D.A., 2019, User guide to the FireCLIME Vulnerability Assessment (VA) Tool: A rapid and flexible system for assessing ecosystem vulnerability to climate-fire interactions, 42 p.","productDescription":"42 p.","ipdsId":"IP-104652","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":368477,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368409,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/treesearch/pubs/59033"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Friggens, Megan","contributorId":219865,"corporation":false,"usgs":false,"family":"Friggens","given":"Megan","email":"","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":773401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":false,"id":773400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thode, Andi","contributorId":219866,"corporation":false,"usgs":false,"family":"Thode","given":"Andi","email":"","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":773402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flatley, William T.","contributorId":204190,"corporation":false,"usgs":false,"family":"Flatley","given":"William","email":"","middleInitial":"T.","affiliations":[{"id":16964,"text":"University of Central Arkansas","active":true,"usgs":false}],"preferred":false,"id":773403,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evans, Alexander","contributorId":219867,"corporation":false,"usgs":false,"family":"Evans","given":"Alexander","email":"","affiliations":[{"id":40083,"text":"The Forest Guild","active":true,"usgs":false}],"preferred":false,"id":773404,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bunn, Windy","contributorId":168622,"corporation":false,"usgs":false,"family":"Bunn","given":"Windy","email":"","affiliations":[],"preferred":false,"id":773405,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilcox, Craig","contributorId":219868,"corporation":false,"usgs":false,"family":"Wilcox","given":"Craig","email":"","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":773406,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mueller, Stephanie","contributorId":219869,"corporation":false,"usgs":false,"family":"Mueller","given":"Stephanie","email":"","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":773407,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yocum, Larissa","contributorId":219870,"corporation":false,"usgs":false,"family":"Yocum","given":"Larissa","email":"","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":773408,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Falk, Donald A.","contributorId":197570,"corporation":false,"usgs":false,"family":"Falk","given":"Donald","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":773409,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70207190,"text":"70207190 - 2019 - Improvements in seismic resolution and current limitations in the Global Seismographic Network","interactions":[],"lastModifiedDate":"2019-12-11T15:11:03","indexId":"70207190","displayToPublicDate":"2019-10-21T15:09:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Improvements in seismic resolution and current limitations in the Global Seismographic Network","docAbstract":"Station noise levels play a fundamental limitation in our ability to detect seismic signals. These noise levels are frequency-dependent and arise from a number of physically different drivers. At periods greater than 100 s, station noise levels are often limited by the self-noise of the instrument as well as the sensitivity of the instrument to non-seismic noise sources. Recently, station operators in the Global Seismographic Network (GSN) have deployed several Streckeisen STS-6A very broadband borehole seismometers. These sensors provide a potential replacement for the no-longer-produced Streckeisen STS-1 seismometer and the GeoTech KS-54000 borehole seismometer. Along with showing some of the initial observational improvements from installing modern very broadband seismometers at depth, we look at current limitations in the seismic resolution from Earth tide periods 100,000 s (0.01 mHz) to Nyquist at most GSN sites (0.02 s or 50 Hz). Finally, we show the potential for improved observations of continuously excited horizontal Earth hum as well as the splitting of very long-period torsional modes as a result of installing instruments at depth. Both of these observations make use of the low horizontal noise levels which are obtained by installing very broadband borehole seismometers at depth with noise levels similar to the Streckeisen STS-1.","language":"English","publisher":"Oxford University Press","doi":"10.1093/gji/ggz473","usgsCitation":"Ringler, A.T., Steim, J., Wilson, D.C., Widmer-Schnidrig, R., and Anthony, R.E., 2019, Improvements in seismic resolution and current limitations in the Global Seismographic Network: Geophysical Journal International, v. 220, no. 1, p. 508-521, https://doi.org/10.1093/gji/ggz473.","productDescription":"14 p.","startPage":"508","endPage":"521","ipdsId":"IP-112506","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":459424,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggz473","text":"Publisher Index Page"},{"id":370185,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"220","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":145576,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":777210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steim, J.","contributorId":221152,"corporation":false,"usgs":false,"family":"Steim","given":"J.","affiliations":[{"id":40337,"text":"Quanterra Inc.","active":true,"usgs":false}],"preferred":false,"id":777211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":777212,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Widmer-Schnidrig, R.","contributorId":221153,"corporation":false,"usgs":false,"family":"Widmer-Schnidrig","given":"R.","email":"","affiliations":[{"id":40338,"text":"Black Forest Observatory, Institute of Geodesy, Stuttgart University, Wolfach, Germany","active":true,"usgs":false}],"preferred":false,"id":777213,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":777214,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70215485,"text":"70215485 - 2019 - Hysteretic response of solutes and turbidity at the event scale across forested tropical montane watersheds","interactions":[],"lastModifiedDate":"2020-10-22T12:20:47.44952","indexId":"70215485","displayToPublicDate":"2019-10-21T12:00:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Hysteretic response of solutes and turbidity at the event scale across forested tropical montane watersheds","docAbstract":"Concentration-discharge relationships are a key tool for understanding the sourcing and transport of material from watersheds to fluvial networks. Storm events in particular provide insight into variability in the sources of solutes and sediment within watersheds, and the hydrologic pathways that connect hillslope to stream channel. Here we examine high-frequency sensor-based specific conductance and turbidity data from multiple storm events across two watersheds (Quebrada Sonadora and Rio Icacos) with different lithology in the Luquillo Mountains of Puerto Rico, a forested tropical ecosystem. Our analyses include Hurricane Maria, a category 5 hurricane. To analyze hysteresis, we used a recently developed set of metrics to describe and quantify storm events including the hysteresis index (HI), which describes the directionality of hysteresis loops, and the flushing index (FI), which can be used to infer whether the mobilization of material is source or transport limited. We also examine the role of antecedent discharge to predict hysteretic behavior during storms. Overall, specific conductance and turbidity showed contrasting responses to storms. The hysteretic behavior of specific conductance was very similar across sites, displaying clockwise hysteresis and a negative flushing index indicating proximal sources of solutes and consistent source limitation. In contrast, the directionality of turbidity hysteresis was significantly different between watersheds, although both had strong flushing behavior indicative of transport limitation. Overall, models that included antecedent discharge did not perform any better than models with peak discharge alone, suggesting that the magnitude and trajectory of an individual event was the strongest driver of material flux and hysteretic behavior. Hurricane Maria produced unique hysteresis metrics within both watersheds, indicating a distinctive response to this major hydrological event. The similarity in response of specific conductance to storms suggests that solute sources and pathways are similar in the two watersheds. The divergence in behavior for turbidity suggests that sources and pathways of particulate matter vary between the two watersheds. The use of high-frequency sensor data allows the quantification of storm events while index-based metrics of hysteresis allow for the direct comparison of complex storm events across a heterogeneous landscape and variable flow conditions.","language":"English","publisher":"Frontiers Research Foundation","doi":"10.3389/feart.2019.00126","usgsCitation":"Wymore, A.S., Leon, M.C., Shanley, J.B., and McDowell, W.C., 2019, Hysteretic response of solutes and turbidity at the event scale across forested tropical montane watersheds: Frontiers in Earth Science, v. 7, 126, 13 p., https://doi.org/10.3389/feart.2019.00126.","productDescription":"126, 13 p.","ipdsId":"IP-106557","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":459432,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2019.00126","text":"Publisher Index Page"},{"id":379599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Puerto Rico","otherGeospatial":"Luquillo Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.47802734375,\n 17.518344187852218\n ],\n [\n -65.54443359375,\n 17.518344187852218\n ],\n [\n -65.54443359375,\n 18.999802829053262\n ],\n [\n -67.47802734375,\n 18.999802829053262\n ],\n [\n -67.47802734375,\n 17.518344187852218\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2019-05-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Wymore, Adam S.","contributorId":243438,"corporation":false,"usgs":false,"family":"Wymore","given":"Adam","email":"","middleInitial":"S.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":802290,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leon, Miguel C.","contributorId":243439,"corporation":false,"usgs":false,"family":"Leon","given":"Miguel","email":"","middleInitial":"C.","affiliations":[{"id":16979,"text":"University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":802291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":802292,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDowell, William C.","contributorId":243440,"corporation":false,"usgs":false,"family":"McDowell","given":"William","email":"","middleInitial":"C.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":802293,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70215484,"text":"70215484 - 2019 - Identifying credible and diverse GCMs for regional climate change studies—case study: Northeastern United States","interactions":[],"lastModifiedDate":"2020-10-22T12:23:54.199735","indexId":"70215484","displayToPublicDate":"2019-10-21T11:16:05","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Identifying credible and diverse GCMs for regional climate change studies—case study: Northeastern United States","docAbstract":"Climate data obtained from global climate models (GCMs) form the basis of most studies of regional climate change and its impacts. Using the northeastern US as a test case, we develop a framework to systematically sub-select reliable models for use in climate change studies in the region. We retain 14 of 36 CMIP5 GCMs that (a) have satisfactory historical performance, and (b) provide diverse climate scenarios consistent with uncertainties in the multi-model ensemble (MME). The historical performance is evaluated for a wide variety of standard and process metrics including large-scale atmospheric circulation features that drive regional climate variability. Model performance is then used in conjunction with the assessment of diversity and redundancy in model projections to eliminate models without underrepresenting the uncertainty in the MME. Overall, the models show significant variations in their performance across metrics and seasons with none emerging as the best model. This combined with a lack of a strong relationship between model biases and future projections together highlight the importance of maintaining diversity in projections for risk assessment. The summer mean precipitation projections, in particular, are uncertain but also have considerable redundancy in their spatial patterns within the ensemble, which we use effectively to eliminate models. The better performing models in the retained set do suggest a potential to narrow the ranges in temperature and precipitation projections. But any further refinement should be based on a detailed analysis of the physical processes that drive regional climate variability and extremes to avoid providing overconfident projections.","language":"English","publisher":"Springer","doi":"10.1007/s10584-019-02411-y","usgsCitation":"Karmalkar, A.V., Thibeault, J.M., Bryan, A., and Seth, A., 2019, Identifying credible and diverse GCMs for regional climate change studies—case study: Northeastern United States: Climatic Change, v. 154, p. 367-386, https://doi.org/10.1007/s10584-019-02411-y.","productDescription":"20 p.","startPage":"367","endPage":"386","ipdsId":"IP-097827","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":379598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont, Delaware, Maryland, West Virginia, Ohio, New Jersey, New York, and Pennsylvania.","otherGeospatial":"Northeastern United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {\n \"stroke\": \"#555555\",\n \"stroke-width\": 2,\n \"stroke-opacity\": 1,\n \"fill\": \"#555555\",\n \"fill-opacity\": 0.5\n },\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.6171875,\n 41.376808565702355\n ],\n [\n -82.79296874999999,\n 38.47939467327645\n ],\n [\n -81.474609375,\n 37.09023980307208\n ],\n [\n -75.498046875,\n 37.3002752813443\n ],\n [\n -73.65234375,\n 40.44694705960048\n ],\n [\n -69.4775390625,\n 41.27780646738183\n ],\n [\n -69.697265625,\n 42.22851735620852\n ],\n [\n -70.751953125,\n 43.32517767999296\n ],\n [\n -66.884765625,\n 44.715513732021336\n ],\n [\n -67.8515625,\n 47.27922900257082\n ],\n [\n -69.521484375,\n 47.69497434186282\n ],\n [\n -70.83984375,\n 45.460130637921004\n ],\n [\n -74.70703125,\n 45.213003555993964\n ],\n [\n -76.201171875,\n 44.276671273775186\n ],\n [\n -79.189453125,\n 43.51668853502906\n ],\n [\n -79.189453125,\n 42.8115217450979\n ],\n [\n -82.6171875,\n 41.376808565702355\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"154","noUsgsAuthors":false,"publicationDate":"2019-04-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Karmalkar, Ambarish V.","contributorId":243435,"corporation":false,"usgs":false,"family":"Karmalkar","given":"Ambarish","email":"","middleInitial":"V.","affiliations":[{"id":48712,"text":"Dept of Geosciences, UMass Amherst, Amherst MA","active":true,"usgs":false}],"preferred":false,"id":802286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thibeault, Jeanne M.","contributorId":243436,"corporation":false,"usgs":false,"family":"Thibeault","given":"Jeanne","email":"","middleInitial":"M.","affiliations":[{"id":48713,"text":"Department of Geography, University of Connecticut, Storrs, Connecticut","active":true,"usgs":false}],"preferred":false,"id":802287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bryan, Alexander 0000-0003-2040-7636","orcid":"https://orcid.org/0000-0003-2040-7636","contributorId":205786,"corporation":false,"usgs":true,"family":"Bryan","given":"Alexander","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":802288,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seth, Anji","contributorId":243437,"corporation":false,"usgs":false,"family":"Seth","given":"Anji","email":"","affiliations":[{"id":48713,"text":"Department of Geography, University of Connecticut, Storrs, Connecticut","active":true,"usgs":false}],"preferred":false,"id":802289,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70214521,"text":"70214521 - 2019 - Debris-flow monitoring and warning: Review and examples","interactions":[],"lastModifiedDate":"2020-09-30T14:30:29.965691","indexId":"70214521","displayToPublicDate":"2019-10-21T09:30:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Debris-flow monitoring and warning: Review and examples","docAbstract":"

Debris flows represent one of the most dangerous types of mass movements, because of their high velocities, large impact forces and long runout distances. This review describes the available debris-flow monitoring techniques and proposes recommendations to inform the design of future monitoring and warning/alarm systems. The selection and application of these techniques is highly dependent on site and hazard characterization, which is illustrated through detailed descriptions of nine monitoring sites: five in Europe, three in Asia and one in the USA. Most of these monitored catchments cover less than ∼10 km2 and are topographically rugged with Melton Indices greater than 0.5. Hourly rainfall intensities between 5 and 15 mm/h are sufficient to trigger debris flows at many of the sites, and observed debris-flow volumes range from a few hundred up to almost one million cubic meters. The sensors found in these monitoring systems can be separated into two classes: a class measuring the initiation mechanisms, and another class measuring the flow dynamics. The first class principally includes rain gauges, but also contains of soil moisture and pore-water pressure sensors. The second class involves a large variety of sensors focusing on flow stage or ground vibrations and commonly includes video cameras to validate and aid in the data interpretation. Given the sporadic nature of debris flows, an essential characteristic of the monitoring systems is the differentiation between a continuous mode that samples at low frequency (“non-event mode”) and another mode that records the measurements at high frequency (“event mode”). The event detection algorithm, used to switch into the “event mode” depends on a threshold that is typically based on rainfall or ground vibration. Identifying the correct definition of these thresholds is a fundamental task not only for monitoring purposes, but also for the implementation of warning and alarm systems.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2019.102981","usgsCitation":"Hurlimann, M., Coviello, V., Bel, C., Guo, X., Berti, M., Graf, C., Hubl, J., Miyata, S., Smith, J.B., and Yin, H., 2019, Debris-flow monitoring and warning: Review and examples: Earth-Science Reviews, v. 199, 102981, 26 p., https://doi.org/10.1016/j.earscirev.2019.102981.","productDescription":"102981, 26 p.","ipdsId":"IP-112575","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":459437,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2117/177770","text":"External Repository"},{"id":378905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"199","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hurlimann, Marcel","contributorId":241626,"corporation":false,"usgs":false,"family":"Hurlimann","given":"Marcel","email":"","affiliations":[{"id":48365,"text":"Department Division of Geotechnical Engineering and Geosciences, Department of Civil and Environmental Engineering UPC BarcelonaTECH, Barcelona, Spain","active":true,"usgs":false}],"preferred":false,"id":799791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coviello, Velio","contributorId":241627,"corporation":false,"usgs":false,"family":"Coviello","given":"Velio","email":"","affiliations":[{"id":48366,"text":"Faculty of Science and Technology, Free University of Bozen-Bolzano, Italy","active":true,"usgs":false}],"preferred":false,"id":799792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bel, Coraline","contributorId":241628,"corporation":false,"usgs":false,"family":"Bel","given":"Coraline","email":"","affiliations":[{"id":48367,"text":"Université Grenoble Alpes, Irstea, UR ETNA, St-Martin-d’Hères, France","active":true,"usgs":false}],"preferred":false,"id":799793,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guo, Xiaojun","contributorId":241629,"corporation":false,"usgs":false,"family":"Guo","given":"Xiaojun","email":"","affiliations":[{"id":48368,"text":"Key Laboratory of Mountain Surface Process and Hazards/Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China","active":true,"usgs":false}],"preferred":false,"id":799794,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berti, Matteo","contributorId":241630,"corporation":false,"usgs":false,"family":"Berti","given":"Matteo","affiliations":[{"id":48369,"text":"Dipartimento di Scienze Biologiche, Geologiche e Ambientali, Università di Bologna, Bologna, Italy","active":true,"usgs":false}],"preferred":false,"id":799795,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graf, Christoph","contributorId":241631,"corporation":false,"usgs":false,"family":"Graf","given":"Christoph","email":"","affiliations":[{"id":34058,"text":"Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland","active":true,"usgs":false}],"preferred":false,"id":799796,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hubl, Johannes","contributorId":241632,"corporation":false,"usgs":false,"family":"Hubl","given":"Johannes","email":"","affiliations":[{"id":48370,"text":"Institute of Mountain Risk engineering, Department of Natural Hazards and Civil Engineering, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria","active":true,"usgs":false}],"preferred":false,"id":799797,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miyata, Shusuke","contributorId":241633,"corporation":false,"usgs":false,"family":"Miyata","given":"Shusuke","email":"","affiliations":[{"id":48371,"text":"Disaster Prevention Research Institute, Kyoto University, Takayama, Japan","active":true,"usgs":false}],"preferred":false,"id":799798,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":799799,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yin, Hsiao-Yuan","contributorId":241634,"corporation":false,"usgs":false,"family":"Yin","given":"Hsiao-Yuan","email":"","affiliations":[{"id":48373,"text":"Soil and Water Conservation Bureau, Council of Agriculture, Nantou, Taiwan","active":true,"usgs":false}],"preferred":false,"id":799800,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70215430,"text":"70215430 - 2019 - Total grain size distribution of an intense Hawaiian fountaining event: Case study of the1959 Kīlauea Iki eruption","interactions":[],"lastModifiedDate":"2020-10-20T13:12:18.157354","indexId":"70215430","displayToPublicDate":"2019-10-19T15:19:09","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":"Total grain size distribution of an intense Hawaiian fountaining event: Case study of the1959 Kīlauea Iki eruption","docAbstract":"

The 1959 eruption of Kīlauea Iki on the Island of Hawai’i is a principal example of powerful Hawaiian fountaining. Over 36 days (including repose periods), 16 fountaining episodes created a small cone, a downwind tephra blanket of approximately 0.003 km3 and a lava lake of about 0.04 km3 volume. During the explosive activity, the maximum fountain heights reached 600 m. Based on a dataset of more than 450 tephra grain size samples, we present both a total grain size distribution (TGSD) of the entire downwind tephra deposit, and also TGSDs for two eruptive subunits (the opening and the closing stages). The opening stage was characterized by persistent fountaining over a period of 8 days with fountain heights averaging ∼ 100 m; in contrast, the closing stage was characterized by two short (hours-long) but powerful fountaining episodes (up to 600 m). The significantly different fountaining intensities are reflected in the characteristics of the TGSDs. For the closing stages, we link bimodality of TGSDs to periods of simultaneous deposition of ballistics and fallout from the convective cloud, both of which are a function of the maximum fountain height. The 1959 Kīlauea Iki case study presents a well-constrained set of TGSD data linked with Hawaiian-style fountaining of two contrasting intensities and can be used as a valuable reference point for eruption source parameters in future modeling of pyroclast dispersal during Hawaiian fountaining eruptions.

","language":"English","publisher":"Springer","doi":"10.1007/s00445-019-1304-y","usgsCitation":"Mueller, S.B., Houghton, B.F., Swanson, D., Poret, M., and Fagents, S.A., 2019, Total grain size distribution of an intense Hawaiian fountaining event: Case study of the1959 Kīlauea Iki eruption: Bulletin of Volcanology, v. 81, 43, 13 p., https://doi.org/10.1007/s00445-019-1304-y.","productDescription":"43, 13 p.","ipdsId":"IP-102777","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":379533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.6103515625,\n 19.129599439736836\n ],\n [\n -154.9896240234375,\n 19.129599439736836\n ],\n [\n -154.9896240234375,\n 19.65810729872147\n ],\n [\n -155.6103515625,\n 19.65810729872147\n ],\n [\n -155.6103515625,\n 19.129599439736836\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"81","noUsgsAuthors":false,"publicationDate":"2019-06-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Mueller, Sebastian B","contributorId":243387,"corporation":false,"usgs":false,"family":"Mueller","given":"Sebastian","email":"","middleInitial":"B","affiliations":[{"id":48709,"text":"University of Hawai`i","active":true,"usgs":false}],"preferred":false,"id":802178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":802179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swanson, Donald A. 0000-0002-1680-3591","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":229682,"corporation":false,"usgs":true,"family":"Swanson","given":"Donald A.","affiliations":[],"preferred":true,"id":802180,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poret, Matthieu","contributorId":243388,"corporation":false,"usgs":false,"family":"Poret","given":"Matthieu","email":"","affiliations":[{"id":33971,"text":"Istituto Nazionale di Geofisica e Vulcanologia, Bologna, Italy","active":true,"usgs":false}],"preferred":false,"id":802181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fagents, Sarah A.","contributorId":243389,"corporation":false,"usgs":false,"family":"Fagents","given":"Sarah","email":"","middleInitial":"A.","affiliations":[{"id":48709,"text":"University of Hawai`i","active":true,"usgs":false}],"preferred":false,"id":802182,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70215416,"text":"70215416 - 2019 - Comparing and improving methods for reconstructing peatland water-table depth from testate amoebae","interactions":[],"lastModifiedDate":"2020-10-19T19:40:15.940198","indexId":"70215416","displayToPublicDate":"2019-10-19T14:19:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1905,"text":"Holocene","active":true,"publicationSubtype":{"id":10}},"title":"Comparing and improving methods for reconstructing peatland water-table depth from testate amoebae","docAbstract":"Proxies that use changes in the composition of ecological communities to reconstruct temporal changes in an environmental covariate are commonly used in paleoclimatology and paleolimnology. Existing methods, such as weighted averaging and modern analog technique,\nrelate compositional data to the covariate in very simple ways, and different methods are seldom compared systematically. We present a new Bayesian model that better represents the underlying data and the complexity in the relationships between species’ abundances and a paleoenvironmental covariate. Using testate amoeba-based reconstructions of water-table depth as a test case, we systematically compare new and existing models in a cross-validation experiment on a large training dataset from North America. We then apply the different\nmodels to a new 7500-year record of testate amoeba assemblages from Caribou Bog in Maine and compare the resulting water-table depth reconstructions. We find that Bayesian models represent an improvement over existing methods in three key ways: more complete use of the underlying compositional data, full and meaningful treatment of uncertainty, and clear paths toward methodological improvements. Furthermore, we highlight how developing and systematically comparing methods leads to an improved understanding of the proxy system.\nThis paper focuses on testate amoebae and water-table depth, but the framework and ideas are widely applicable to other proxies based on compositional data.","language":"English","publisher":"SAGE Publications","doi":"10.1177/0959683619846969","usgsCitation":"Nolan, C., Tipton, J., Booth, R., Hooten, M., and Jackson, S., 2019, Comparing and improving methods for reconstructing peatland water-table depth from testate amoebae: Holocene, v. 29, no. 8, p. 1350-1361, https://doi.org/10.1177/0959683619846969.","productDescription":"12 p.","startPage":"1350","endPage":"1361","ipdsId":"IP-098724","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":459448,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/0959683619846969","text":"Publisher Index 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John","contributorId":166999,"corporation":false,"usgs":false,"family":"Tipton","given":"John","affiliations":[],"preferred":false,"id":802105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Booth, Robert K.","contributorId":243345,"corporation":false,"usgs":false,"family":"Booth","given":"Robert K.","affiliations":[{"id":16160,"text":"Lehigh University","active":true,"usgs":false}],"preferred":false,"id":802106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":802107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, Stephen 0000-0002-1487-4652","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":219995,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":802108,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70215413,"text":"70215413 - 2019 - A Generalized Additive Model approach to evaluating water quality: Chesapeake Bay Case Study","interactions":[],"lastModifiedDate":"2020-10-20T13:24:52.488251","indexId":"70215413","displayToPublicDate":"2019-10-19T14:01:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7164,"text":"Environmental Modelling & Software","active":true,"publicationSubtype":{"id":10}},"title":"A Generalized Additive Model approach to evaluating water quality: Chesapeake Bay Case Study","docAbstract":"Nutrient-reduction efforts have been undertaken in recent decades to mitigate the impacts of eutrophication in coastal and estuarine systems worldwide. To track progress in response to one of these efforts we use Generalized Additive Models (GAMs) to evaluate a diverse suite of water quality constituents over a 32-year period in the Chesapeake Bay, an estuary on the east coast of the United States. Model development included selecting a GAM structure to describe nonlinear seasonally-varying changes over time, incorporating hydrologic variability via either river flow or salinity, and using interventions to model method or laboratory changes suspected to impact data. This approach, transferable to other systems, allows for evaluation of water quality data in a statistically rigorous way, while being suitable for application to many sites and variables. This enables consistent generation of annual updates, while providing a tool for developing insights to a range of management- and research-focused questions.","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2019.03.027","usgsCitation":"Murphy, R., Perry, E., Harcum, J., and Keisman, J.L., 2019, A Generalized Additive Model approach to evaluating water quality: Chesapeake Bay Case Study: Environmental Modelling & Software, v. 118, 13 p., https://doi.org/10.1016/j.envsoft.2019.03.027.","productDescription":"13 p.","ipdsId":"IP-105288","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":379527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.40966796875,\n 36.756490329505176\n ],\n [\n -75.5419921875,\n 36.756490329505176\n ],\n [\n -75.5419921875,\n 39.57182223734374\n ],\n [\n -77.40966796875,\n 39.57182223734374\n ],\n [\n -77.40966796875,\n 36.756490329505176\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"118","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Rebecca 0000-0003-3391-1823","orcid":"https://orcid.org/0000-0003-3391-1823","contributorId":199777,"corporation":false,"usgs":false,"family":"Murphy","given":"Rebecca","email":"","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":true,"id":802095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Elgin","contributorId":243340,"corporation":false,"usgs":false,"family":"Perry","given":"Elgin","affiliations":[{"id":48694,"text":"Statistics Consultant","active":true,"usgs":false}],"preferred":false,"id":802096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harcum, Jon","contributorId":243341,"corporation":false,"usgs":false,"family":"Harcum","given":"Jon","email":"","affiliations":[{"id":48695,"text":"Tetra Tech, Inc.","active":true,"usgs":false}],"preferred":false,"id":802097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keisman, Jennifer L. 0000-0001-6808-9193 jkeisman@usgs.gov","orcid":"https://orcid.org/0000-0001-6808-9193","contributorId":198107,"corporation":false,"usgs":true,"family":"Keisman","given":"Jennifer","email":"jkeisman@usgs.gov","middleInitial":"L.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":802098,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70215411,"text":"70215411 - 2019 - Dextral, normal, and sinistral faulting across the eastern California shear zone-Mina deflection transition, California-Nevada","interactions":[],"lastModifiedDate":"2020-10-20T13:30:40.254733","indexId":"70215411","displayToPublicDate":"2019-10-19T13:35:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Dextral, normal, and sinistral faulting across the eastern California shear zone-Mina deflection transition, California-Nevada","docAbstract":"

Strike-slip faults commonly include extensional and contractional bends and stepovers, whereas rotational stepovers are less common. The Volcanic Tableland, Black Mountain, and River Spring areas (California and Nevada, USA) (hereafter referred to as the VBR region) straddle the transition from the dominantly NW-striking dextral faults that define the northwestern part of the eastern California shear zone into a rotational stepover characterized by dominantly NE-striking sinistral faults that define the southwestern Mina deflection. New detailed geologic mapping, structural studies, and 40Ar/39Ar geochronology across the VBR region allow us to calculate Pliocene to Pleistocene fault slip rates and test predictions for the kinematics of fault slip transfer into this rotational stepover. In the VBR, Mesozoic basement is nonconformably overlain by a Miocene sequence of rhyolite, dacite, and andesite volcanic rocks that yield 40Ar/39Ar ages between 22.878 ± 0.051 Ma and 11.399 ± 0.041 Ma. Miocene rocks are unconformably overlain by an extensive sequence of Pliocene basalt and andesite lava flows and cinder cones that yield 40Ar/39Ar ages between 3.606 ± 0.060 Ma and 2.996 ± 0.027 Ma. The Pliocene sequence is, in turn, unconformably overlain by Quaternary tuffs and sedimentary rocks. This sequence of rocks is cut by NS- to NW-striking normal faults across the Volcanic Tableland that transition northward into NS-striking normal faults across the Black Mountain area and that, in turn, transition northward into NW-striking dextral and NE-striking sinistral faults in the River Spring area. A range of geologic markers were used to measure offset across the faults in the VBR, and combined with the age of the markers, yield minimum ∼EW-extension rates of ∼0.5 mm/yr across the Volcanic Tableland and Black Mountain regions, and minimum NW-dextral slip and NE-sinistral slip rates of ∼0.7 and ∼0.3 mm/yr, respectively, across the River Spring region. In the River Spring area, our preferred minimum dextral slip and sinistral slip rates are 0.8–0.9 mm/yr and 0.7–0.9 mm/yr, respectively. We propose three kinematic fault slip models, two irrotational and one rotational, whereby the VBR region transfers a portion of dextral Owens Valley fault slip northwestward into the Mina deflection. In irrotational model 1, Owens Valley fault slip is partitioned into two components, one northeastward onto the White Mountain fault zone and one northwestward into the Volcanic Tableland. Slip from the two zones is then transferred northward into the southwestern Mina deflection. In irrotational model 2, Owens Valley fault slip is partitioned into three components, with the third component partitioned west-northwest onto the Sierra Nevada frontal fault zone. In the rotational model, predicted sinistral slip rates across the southwestern Mina deflection are at least 115% greater than our observed minimum slip rates, implying our minimum observed rates underestimate true sinistral slip rates. A comparison of summed geologic fault slip rates, parallel to motion of the Sierra Nevada block relative to the central Great Basin, from the Sierra Nevada northeastward across the VBR region and into western Nevada are the same as geodetic rates, if our assumptions about the geologic slip rate across the dextral White Mountain fault zone is correct.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01636.1","usgsCitation":"DeLano, K., Lee, J., Roper, R., and Calvert, A.T., 2019, Dextral, normal, and sinistral faulting across the eastern California shear zone-Mina deflection transition, California-Nevada: Geosphere, v. 15, no. 4, p. 1206-1239, https://doi.org/10.1130/GES01636.1.","productDescription":"34 p.","startPage":"1206","endPage":"1239","ipdsId":"IP-097991","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":459455,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01636.1","text":"Publisher Index Page"},{"id":379525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Eastern California shear 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\"}}]}","volume":"15","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"DeLano, Kevin","contributorId":243338,"corporation":false,"usgs":false,"family":"DeLano","given":"Kevin","email":"","affiliations":[{"id":48692,"text":"CWU student, now at California State Water Resources","active":true,"usgs":false}],"preferred":false,"id":802089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Jeffrey","contributorId":193437,"corporation":false,"usgs":false,"family":"Lee","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":802090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roper, Rachelle","contributorId":243339,"corporation":false,"usgs":false,"family":"Roper","given":"Rachelle","email":"","affiliations":[{"id":48693,"text":"Central Washington University student","active":true,"usgs":false}],"preferred":false,"id":802091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":802092,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70215409,"text":"70215409 - 2019 - Relevance of wind stress and wave-dependent ocean surface roughness on the generation of winter meteotsunamis in Northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2020-10-19T18:01:53.210147","indexId":"70215409","displayToPublicDate":"2019-10-19T12:45:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5979,"text":"Ocean Modeling","active":true,"publicationSubtype":{"id":10}},"title":"Relevance of wind stress and wave-dependent ocean surface roughness on the generation of winter meteotsunamis in Northern Gulf of Mexico","docAbstract":"Meteotsunamis associated with passing squall lines are often observed ahead of cold fronts during winter seasons in Northern Gulf of Mexico. These types of meteotsunamis occur simultaneously with wind speed variations (~5-20 m/s) and sea-level atmospheric pressure oscillations (~1-6 hPa) with periods between 2 hours to several minutes. In order to enhance understanding of meteotsunami generation and propagation mechanisms, a Coupled-Ocean-Atmosphere-Wave-Sediment Transport (COAWST) modeling system is applied to one of the most intense winter meteotsunamis measured in Northern Gulf of Mexico in the last decade (2009-2018). The model verification with sea level and atmospheric observations show that the fully-coupled model is able to reproduce the timing and intensity of the 10-m wind and sea level atmospheric pressure fluctuations. The mean bias between observed and measured wind speeds and atmospheric pressure are 1.73 m/s and 0.63 hPa respectively. The maximum meteotsunami elevation and its timing are successfully captured by modeled (with a 7% underestimation of the maximum elevation). The relative effect of atmospheric pressure and wind stress divergence on meteotsunami generation is assessed with different numerical simulations. Results indicate that both wind stress and atmospheric pressure oscillations contributed to the generation of the meteotsunami. Wind stress was the dominant force in shallow waters (<15 m in this application), while the effects of atmospheric pressure disturbances dominated over areas with Froude number close to one (~40 m in this application). During the passage of the squall line, the sea surface became rougher in a sea state characterized by young and steep local ocean waves. Compared to a purely wind-speed-dependent roughness scheme, the application of a wave-dependent roughness parameterization improved in 37% modeled meteotsunami maximum elevation.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ocemod.2019.101408","usgsCitation":"Shi, L., Olabarrieta, M., Valle-Levinson, A., and Warner, J., 2019, Relevance of wind stress and wave-dependent ocean surface roughness on the generation of winter meteotsunamis in Northern Gulf of Mexico: Ocean Modeling, v. 140, 101408, 15 p., https://doi.org/10.1016/j.ocemod.2019.101408.","productDescription":"101408, 15 p.","ipdsId":"IP-099874","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":459460,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ocemod.2019.101408","text":"Publisher Index Page"},{"id":379522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Northern Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.8671875,\n 27.352252938063845\n ],\n [\n -82.353515625,\n 27.352252938063845\n ],\n [\n -82.353515625,\n 30.92107637538488\n ],\n [\n -93.8671875,\n 30.92107637538488\n ],\n [\n -93.8671875,\n 27.352252938063845\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"140","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shi, Lijing","contributorId":192873,"corporation":false,"usgs":false,"family":"Shi","given":"Lijing","email":"","affiliations":[],"preferred":false,"id":802081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olabarrieta, Maitane 0000-0002-7619-7992 molabarrieta@usgs.gov","orcid":"https://orcid.org/0000-0002-7619-7992","contributorId":211373,"corporation":false,"usgs":false,"family":"Olabarrieta","given":"Maitane","email":"molabarrieta@usgs.gov","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":802082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Valle-Levinson, Arnoldo","contributorId":243337,"corporation":false,"usgs":false,"family":"Valle-Levinson","given":"Arnoldo","email":"","affiliations":[{"id":48691,"text":"Civil and Coastal Engineering Department, ESSIE, University of Florida 365 Weil Hall, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":802083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":802084,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228681,"text":"70228681 - 2019 - Intense hurricane activity over the past 1500 years at South Andros Island, The Bahamas","interactions":[],"lastModifiedDate":"2022-02-22T12:48:41.942906","indexId":"70228681","displayToPublicDate":"2019-10-19T09:37:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5790,"text":"Paleoceanography and Paleoclimatology","active":true,"publicationSubtype":{"id":10}},"title":"Intense hurricane activity over the past 1500 years at South Andros Island, The Bahamas","docAbstract":"

Hurricanes cause substantial loss of life and resources in coastal areas. Unfortunately, historical hurricane records are too short and incomplete to capture hurricane-climate interactions on multi-decadal and longer timescales. Coarse-grained, hurricane-induced deposits preserved in blue holes in the Caribbean can provide records of past hurricane activity extending back thousands of years. Here we present a high resolution record of intense hurricane events over the past 1500 years from a blue hole on South Andros Island on the Great Bahama Bank. This record is corroborated by shorter reconstructions from cores collected at two nearby blue holes. The record contains coarse-grained event deposits attributable to known historical hurricane strikes within age uncertainties. Over the past 1500 years, South Andros shows evidence of four active periods of hurricane activity. None of these active intervals occurred in the past 163 years. We suggest that Intertropical Convergence Zone position modulates hurricane activity on the island based on a correlation with Cariaco Basin titanium concentrations. An anomalous gap in activity on South Andros Island in the early 13th century corresponds to a period of increased volcanism. The patterns of hurricane activity reconstructed from South Andros Island closely match those from the northeastern Gulf of Mexico but are anti-phased with records from New England. We suggest that either changes in local environmental conditions (e.g., SSTs) or a northeastward shift in storm tracks can account for the increased activity in the western North Atlantic when the Gulf of Mexico and southeastern Caribbean are less active.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019PA003665","usgsCitation":"Wallace, E., Donnelly, J.P., van Hengstum, P.J., Winman, C., Sullivan, R., Winkler, T., D'Entremont, N., Toomey, M., and Albury, N.A., 2019, Intense hurricane activity over the past 1500 years at South Andros Island, The Bahamas: Paleoceanography and Paleoclimatology, v. 34, no. 11, p. 1761-1783, https://doi.org/10.1029/2019PA003665.","productDescription":"23 p.","startPage":"1761","endPage":"1783","ipdsId":"IP-112040","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":459468,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019pa003665","text":"Publisher Index Page"},{"id":396016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"The Bahamas","otherGeospatial":"South Andros Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.81204223632812,\n 23.626281853879018\n ],\n [\n -77.48313903808594,\n 23.626281853879018\n ],\n [\n -77.48313903808594,\n 23.888976847350275\n ],\n [\n -77.81204223632812,\n 23.888976847350275\n ],\n [\n -77.81204223632812,\n 23.626281853879018\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"11","noUsgsAuthors":false,"publicationDate":"2019-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Wallace, Elizabeth","contributorId":245340,"corporation":false,"usgs":false,"family":"Wallace","given":"Elizabeth","affiliations":[{"id":49154,"text":"Woods Hole Oceanographic Institution, Woods Hole","active":true,"usgs":false}],"preferred":false,"id":835014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donnelly, Jeffrey P.","contributorId":192783,"corporation":false,"usgs":false,"family":"Donnelly","given":"Jeffrey","email":"","middleInitial":"P.","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":835015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Hengstum, Peter J.","contributorId":199536,"corporation":false,"usgs":false,"family":"van Hengstum","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":835016,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winman, Charlotte","contributorId":279501,"corporation":false,"usgs":false,"family":"Winman","given":"Charlotte","email":"","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":835017,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Richard","contributorId":211625,"corporation":false,"usgs":false,"family":"Sullivan","given":"Richard","email":"","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":835018,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Winkler, Tyler","contributorId":279503,"corporation":false,"usgs":false,"family":"Winkler","given":"Tyler","email":"","affiliations":[{"id":57261,"text":"Texas A&M, Galveston","active":true,"usgs":false}],"preferred":false,"id":835019,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"D'Entremont, Nicole","contributorId":279505,"corporation":false,"usgs":false,"family":"D'Entremont","given":"Nicole","affiliations":[{"id":16633,"text":"WHOI","active":true,"usgs":false}],"preferred":false,"id":835020,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Toomey, Michael 0000-0003-0167-9273 mtoomey@usgs.gov","orcid":"https://orcid.org/0000-0003-0167-9273","contributorId":184097,"corporation":false,"usgs":true,"family":"Toomey","given":"Michael","email":"mtoomey@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":835021,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Albury, Nancy A.","contributorId":192785,"corporation":false,"usgs":false,"family":"Albury","given":"Nancy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":835022,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70227713,"text":"70227713 - 2019 - Morphological identification of Bighead Carp, Silver Carp, and Grass Carp eggs using random forests machine learning classification","interactions":[],"lastModifiedDate":"2022-01-27T16:17:18.542828","indexId":"70227713","displayToPublicDate":"2019-10-18T10:08:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Morphological identification of Bighead Carp, Silver Carp, and Grass Carp eggs using random forests machine learning classification","docAbstract":"

Visual identification of fish eggs is difficult and unreliable due to a lack of information on the morphological egg characteristics of many species. We used random forests machine learning to predict the identity of genetically identified Bighead Carp Hypophthalmichthys nobilis, Grass Carp Ctenopharyngodon idella, and Silver Carp H. molitrix eggs based on egg morphometric and environmental characteristics. Family, genus, and species taxonomic-level random forests models were explored to assess the performance and accuracy of the predictor variables. The egg characteristics of Bighead Carp, Grass Carp, and Silver Carp were similar, and they were difficult to distinguish from one another. When combined into a single invasive carp class, the random forests models were ≥ 97% accurate at identifying invasive carp eggs, with a ≤5% false positive rate. Egg membrane diameter was the most important predictive variable, but the addition of ten other variables resulted in a 98% success rate for identifying invasive carp eggs from 26 other upper Mississippi River basin species. Our results revealed that a combination of morphometric and environmental measurements can be used to identify invasive carp eggs. Similar machine learning approaches could be used to identify the eggs of other fishes. These results will help managers more easily and quickly assess invasive carp reproduction.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10380","usgsCitation":"Camacho, C., Sullivan, C., Weber, M., and Pierce, C., 2019, Morphological identification of Bighead Carp, Silver Carp, and Grass Carp eggs using random forests machine learning classification: North American Journal of Fisheries Management, v. 39, no. 6, p. 1373-1384, https://doi.org/10.1002/nafm.10380.","productDescription":"12 p.","startPage":"1373","endPage":"1384","ipdsId":"IP-080766","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":459471,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/327","text":"External Repository"},{"id":394976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","otherGeospatial":"Cedar River, Des Moines River, Iowa river, Mississippi River, Skunk River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.5,\n 40.32141999593439\n ],\n [\n -90.120849609375,\n 40.32141999593439\n ],\n [\n -90.120849609375,\n 42\n ],\n [\n -93.5,\n 42\n ],\n [\n -93.5,\n 40.32141999593439\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-10-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Camacho, Carlos A.","contributorId":272254,"corporation":false,"usgs":false,"family":"Camacho","given":"Carlos A.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":831867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, Christopher J.","contributorId":272255,"corporation":false,"usgs":false,"family":"Sullivan","given":"Christopher J.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":831868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weber, Michael J.","contributorId":272256,"corporation":false,"usgs":false,"family":"Weber","given":"Michael J.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":831869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":831866,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70207162,"text":"70207162 - 2019 - Characterizing range-wide population divergence in an alpine-endemic bird: A comparison of genetic and genomic approaches","interactions":[],"lastModifiedDate":"2019-12-12T06:27:12","indexId":"70207162","displayToPublicDate":"2019-10-17T15:31:27","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing range-wide population divergence in an alpine-endemic bird: A comparison of genetic and genomic approaches","docAbstract":"The delineation of intraspecific units that are evolutionarily and demographically distinct is an important step in the development of species-specific management plans. Neutral genetic variation has served as the primary data source for delineating “evolutionarily significant units,” but with recent advances in genomic technology, we now have an unprecedented ability to utilize information about neutral and adaptive variation across the entire genome. Here, we use traditional genetic markers (microsatellites) and a newer reduced-representation genomic approach (single nucleotide polymorphisms) to delineate distinct groups of white-tailed ptarmigan (Lagopus leucura), an alpine-obligate species that is distributed in naturally fragmented habitats from Alaska to New Mexico. Five subspecies of white-tailed ptarmigan are currently recognized but their distinctiveness has not been verified with molecular data. Based on analyses of 436 samples at 12 microsatellite loci and 95 samples at 14,866 single nucleotide polymorphism loci, we provide strong support for treating two subspecies as distinct intraspecific units—L. l. altipetens, found in Colorado and neighboring states; and L. l. saxatilis, found on British Columbia’s Vancouver Island—but our findings reveal more moderate patterns of divergence within the remainder of the species’ range. Results based on genetic and genomic datasets generally agreed with one another, indicating that in many cases microsatellite loci may be sufficient for describing major patterns of genetic structure across species’ ranges. This work will inform future conservation and management decisions for the white-tailed ptarmigan, a species that may be vulnerable to future changes in climate.","language":"English","publisher":"Springer","doi":"10.1007/s10592-018-1115-2","usgsCitation":"Langin, K., Aldridge, C.L., Fike, J., Cornman, R.S., Martin, K.M., Wann, G., Seglund, A.E., Schroeder, M.A., Benson, D.P., Fedy, B.C., Young, J.R., Wilson, S.D., Wolfe, D., Braun, C.E., and Oyler-McCance, S.J., 2019, Characterizing range-wide population divergence in an alpine-endemic bird: A comparison of genetic and genomic approaches: Conservation Genetics, v. 19, no. 6, p. 1471-1485, https://doi.org/10.1007/s10592-018-1115-2.","productDescription":"15 p.","startPage":"1471","endPage":"1485","ipdsId":"IP-089058","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":437301,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GM86GZ","text":"USGS data release","linkHelpText":"Sample collection information, single nucleotide polymorphism, and microsatellite data for white-tailed ptarmigan across the species range generated in the Molecular Ecology Lab during 2016"},{"id":370135,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.92578125,\n 45.1510532655634\n ],\n [\n -124.45312499999999,\n 44.59046718130883\n ],\n [\n -118.564453125,\n 42.74701217318067\n ],\n [\n -115.400390625,\n 42.8115217450979\n ],\n [\n -115.57617187499999,\n 44.902577996288876\n ],\n [\n -116.806640625,\n 52.214338608258196\n ],\n [\n -122.08007812499999,\n 57.37393841871411\n ],\n [\n -134.38476562499997,\n 60.50052541051131\n ],\n [\n -133.76953125,\n 58.99531118795094\n ],\n 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R.","contributorId":200014,"corporation":false,"usgs":false,"family":"Young","given":"Jessica","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":777079,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wilson, Scott D.","contributorId":181519,"corporation":false,"usgs":false,"family":"Wilson","given":"Scott","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":777080,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wolfe, Don H","contributorId":221133,"corporation":false,"usgs":false,"family":"Wolfe","given":"Don H","affiliations":[{"id":40331,"text":"G. M. Sutton Avian Research Center","active":true,"usgs":false}],"preferred":false,"id":777081,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Braun, Clait E.","contributorId":200013,"corporation":false,"usgs":false,"family":"Braun","given":"Clait","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":777082,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":777068,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70216775,"text":"70216775 - 2019 - Climate-driven state shifts in the Prairie Pothole Region: Assessing future impacts relevant to the management of wetland habitats critical to waterfowl","interactions":[],"lastModifiedDate":"2022-03-07T17:53:15.186194","indexId":"70216775","displayToPublicDate":"2019-10-17T11:44:16","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":7504,"text":"Final Report","active":true,"publicationSubtype":{"id":1}},"title":"Climate-driven state shifts in the Prairie Pothole Region: Assessing future impacts relevant to the management of wetland habitats critical to waterfowl","docAbstract":"

Embedded within the North American Prairie Pothole Region (PPR) are millions of small, depressional wetlands that annually support 50–80% of the continent’s waterfowl production. We recently assembled evidence that demonstrates a change towards a wetter climate that is driving a shift in the state of the region’s wetland ecosystems. This ecological state-shift has been primarily the result of a sustained wet climate that has influenced timing and magnitude of surface-water inputs to wetlands, connections to groundwater, and inputs of dissolved salts. As climate influences continue to change in the PPR, it is important to understand the potential of these changes to impact wetland habitats important for waterfowl production. Previous model simulations of prairie-pothole wetlands under future climate scenarios projected decreases in the ability of wetlands to facilitate waterfowl production throughout the majority of what is currently the most productive portion of the region. Results from these modeling efforts also suggested that suitable waterfowl breeding-habitat would be limited mostly to the southeastern portion of the PPR, a portion of the region in which most depressional wetlands (> 90%) have been drained. Thus, if these modeled outcomes materialize, a significant restoration effort would be needed in the southeastern PPR to support waterfowl production. However, the models used in earlier efforts were developed from a small number of wetlands using data from a relatively dry period and did not allow for changing mechanisms influencing surface-water, groundwater and dissolved salt inputs to prairie-pothole wetlands.

The primary objective of our research is to improve our understanding of future climate change on impacts to wetland ecosystems and breeding waterfowl habitat in the PPR. We used a newly developed Pothole Hydrology Linked Systems Simulator (PHyLiSS) model to estimate wetland ecosystem responses to 32 distinct climate models under 2 different emissions scenarios. Unlike previous wetland hydrology models, the PHyLiSS model allows for shifting hydrological and geochemical mechanisms influencing wetland ecosystems. We modeled one average-sized seasonal wetland basin at 18 different geographic locations (hereafter “sites”) across the PPR with 3 sites represented for each of 6 ecoregions coincident to early research. We applied the PHyLiSS model using historical daily precipitation and temperature data from 1982–2015 and developed linear models relative to ponded water depth in the simulated wetlands and the observed regional WBPHS May Pond count number for 16 of the 18 sites. Based on the output of 32 climate models and 2 emission scenarios we found a projected change in May pond numbers from -23% to +.02% when comparing the most recent climate period (1989–2018) to the end of the 21st century (2070–2099). We also found no evidence that the distribution of May ponds will shift in the future. These results suggest that management and conservation strategies for wetlands in the PPR should continue to focus on areas where high densities of intact wetland basins support large numbers of breeding duck pairs.

","language":"English","publisher":"Climate Adaptation Science Centers","usgsCitation":"Mushet, D.M., and McKenna, O.P., 2019, Climate-driven state shifts in the Prairie Pothole Region: Assessing future impacts relevant to the management of wetland habitats critical to waterfowl: Final Report, 15 p.","productDescription":"15 p.","ipdsId":"IP-117473","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":396800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":381010,"type":{"id":15,"text":"Index Page"},"url":"https://cascprojects.org/#/project/4f83509de4b0e84f60868124/5b33be6fe4b040769c172fad"}],"country":"Canada, United States","state":"Alberta, Iowa, Manitoba, Minnesota, Montana, North Dakota, Saskatchewan, South Dakota","otherGeospatial":"Prairie Potholes Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.4248046875,\n 53.25206880589411\n ],\n [\n -110.5224609375,\n 54.265224078605684\n ],\n [\n -115.6640625,\n 55.65279803318956\n ],\n [\n -116.01562499999999,\n 51.645294049305406\n ],\n [\n -113.99414062499999,\n 50.680797145321655\n ],\n [\n -113.115234375,\n 49.296471602658066\n ],\n [\n -113.37890625,\n 48.3416461723746\n ],\n [\n -111.884765625,\n 47.42808726171425\n ],\n [\n -106.4794921875,\n 47.45780853075031\n ],\n [\n -105.908203125,\n 47.87214396888731\n ],\n [\n -104.94140625,\n 47.931066347509784\n ],\n [\n -103.0078125,\n 47.84265762816538\n ],\n [\n -101.689453125,\n 47.42808726171425\n ],\n [\n -100.546875,\n 46.558860303117164\n ],\n [\n -100.5908203125,\n 45.058001435398275\n ],\n [\n -100.94238281249999,\n 44.59046718130883\n ],\n [\n -99.7119140625,\n 43.99281450048989\n ],\n [\n -98.8330078125,\n 42.84375132629021\n ],\n [\n -98.3056640625,\n 41.0130657870063\n ],\n [\n -96.8115234375,\n 40.91351257612758\n ],\n [\n -96.6357421875,\n 42.48830197960227\n ],\n [\n -97.0751953125,\n 43.26120612479979\n ],\n [\n -96.6357421875,\n 43.99281450048989\n ],\n [\n -94.9658203125,\n 42.90816007196054\n ],\n [\n -94.1748046875,\n 41.64007838467894\n ],\n [\n -93.42773437499999,\n 40.91351257612758\n ],\n [\n -91.7138671875,\n 41.21172151054787\n ],\n [\n -91.8896484375,\n 42.391008609205045\n ],\n [\n -93.33984375,\n 44.49650533109348\n ],\n [\n -94.1748046875,\n 44.33956524809713\n ],\n [\n -94.306640625,\n 45.089035564831036\n ],\n [\n -95.00976562499999,\n 45.55252525134013\n ],\n [\n -95.8447265625,\n 46.164614496897094\n ],\n [\n -96.1083984375,\n 47.54687159892238\n ],\n [\n -95.09765625,\n 47.87214396888731\n ],\n [\n -95.09765625,\n 48.3416461723746\n ],\n [\n -95.5810546875,\n 51.26191485308451\n ],\n [\n -96.416015625,\n 51.31688050404585\n ],\n [\n -96.7236328125,\n 50.20503326494332\n ],\n [\n -96.9873046875,\n 50.3734961443035\n ],\n [\n -96.8115234375,\n 51.590722643120145\n ],\n [\n -98.5693359375,\n 52.669720383688166\n ],\n [\n -99.7119140625,\n 52.348763181988105\n ],\n [\n -101.29394531249999,\n 52.802761415419674\n ],\n [\n -101.6015625,\n 52.16045455774706\n ],\n [\n -100.5029296875,\n 51.6180165487737\n ],\n [\n -99.7119140625,\n 51.04139389812637\n ],\n [\n -99.6240234375,\n 50.62507306341435\n ],\n [\n -100.634765625,\n 50.54136296522161\n ],\n [\n -101.42578124999999,\n 50.98609893339354\n ],\n [\n -102.0849609375,\n 52.05249047600099\n ],\n [\n -103.7548828125,\n 52.72298552457069\n ],\n [\n -105.4248046875,\n 53.25206880589411\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":806183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKenna, Owen P. 0000-0002-5937-9436 omckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-5937-9436","contributorId":198598,"corporation":false,"usgs":true,"family":"McKenna","given":"Owen","email":"omckenna@usgs.gov","middleInitial":"P.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":806182,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70215004,"text":"70215004 - 2019 - Controls on eolian landscape evolution in fractured bedrock","interactions":[],"lastModifiedDate":"2020-10-06T15:52:57.416752","indexId":"70215004","displayToPublicDate":"2019-10-17T10:40:29","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":"Controls on eolian landscape evolution in fractured bedrock","docAbstract":"

Wind abrasion is important for planetary landscape evolution, and wind‐abraded bedrock landscapes contain many landforms that are difficult to interpret. Here we exploit a natural experiment in Chile where topographic shielding by an upwind lava flow yields diverse erosional landforms in a downwind ignimbrite. Using a 3‐D topographic wind model, we find that low velocities in the wake of a lava lobe coincide with a transition from landforms reflecting fracture‐parallel erosion to flow‐parallel erosion. Erosion rates across these landforms vary with shear velocity and abrasion susceptibility of the windward escarpment. We hypothesize that this morphologic threshold is controlled by whether particles can be lofted in suspension and overcome topographic steering imposed by fractured bedrock blocks. Within a phase space set by Rouse and Stokes numbers, our data illustrate that wind‐abraded landforms reflect a competition between the material skeleton of the landscape and the strength of the flow that shapes it.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GL083955","usgsCitation":"Perkins, J.P., Finnegan, N.J., de Silva, S.L., and Willis, M.J., 2019, Controls on eolian landscape evolution in fractured bedrock: Geophysical Research Letters, v. 46, no. 21, p. 12012-12020, https://doi.org/10.1029/2019GL083955.","productDescription":"9 p.","startPage":"12012","endPage":"12020","ipdsId":"IP-107187","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":459479,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2019gl083955","text":"External Repository"},{"id":379084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Antofogasta region, Central Andes Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.6640625,\n -23.94609601499837\n ],\n [\n -70.11474609375,\n -23.94609601499837\n ],\n [\n -70.11474609375,\n -23.443088931121775\n ],\n [\n -70.6640625,\n -23.443088931121775\n ],\n [\n -70.6640625,\n -23.94609601499837\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"21","noUsgsAuthors":false,"publicationDate":"2019-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Perkins, Jonathan P. 0000-0002-6113-338X","orcid":"https://orcid.org/0000-0002-6113-338X","contributorId":237053,"corporation":false,"usgs":true,"family":"Perkins","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":800519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finnegan, Noah J.","contributorId":198803,"corporation":false,"usgs":false,"family":"Finnegan","given":"Noah","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":800520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"de Silva, Shanaka L. 0000-0002-0310-5516","orcid":"https://orcid.org/0000-0002-0310-5516","contributorId":242616,"corporation":false,"usgs":false,"family":"de Silva","given":"Shanaka","email":"","middleInitial":"L.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":800521,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Willis, Michael J. 0000-0003-1308-2888","orcid":"https://orcid.org/0000-0003-1308-2888","contributorId":242617,"corporation":false,"usgs":false,"family":"Willis","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":800522,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70206010,"text":"70206010 - 2019 - Variability in results from mineralogical and organic geochemical interlaboratory testing of U. S. Geological Survey shale reference materials","interactions":[],"lastModifiedDate":"2019-10-17T08:01:22","indexId":"70206010","displayToPublicDate":"2019-10-17T08:00:08","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Variability in results from mineralogical and organic geochemical interlaboratory testing of U. S. Geological Survey shale reference materials","docAbstract":"The expansion of unconventional petroleum resource exploration and production in the United States has led to an increase in source rock characterization efforts, particularly related to bulk organic and mineralogical properties. To support the analytical and research needs of industry and academia, as well as internal work, the U.S. Geological Survey (USGS) has collected and prepared shale geochemical reference materials (GRMs) from several major shale petroleum systems in the U.S. The sources of these materials are the Late Cretaceous Boquillas (lower Eagle Ford-equivalent) Formation (roadcut near Del Rio, TX), Late Cretaceous Mancos Shale (outcrop near Delta, CO), Devonian–Mississippian Woodford Shale (outcrop near Ardmore, OK), Late Cretaceous Niobrara Formation (quarry near Lyons, CO), Middle Devonian Marcellus Shale (creek bed in LeRoy, NY), and Eocene Mahogany zone oil shale of the Green River Formation (oil shale mine near Rifle, CO). Of particular interest in the development of these GRMs has been the examination of variability between laboratories and specific methods or instruments in commonly made measurements, including major- and trace-element concentrations, X-ray diffraction (XRD) mineralogy, total organic carbon (TOC) content, and programmed pyrolysis (PP) parameters. For the component concentrations and parameters we measured, the techniques and instrument types included: (1) elemental analysis by X-ray fluorescence, inductively coupled plasma mass spectrometry, and instrumental neutron activation analysis; (2) XRD mineralogy with various preparatory methods (spray drying or micronizing with or without internal standard); (3) TOC by combustion with infrared detection after carbonate removal or the PP approach; (4) PP by Rock-Eval 2 or more recently developed instruments (Rock-Eval 6, Source Rock Analyzer or SRA, and Hydrocarbon Analyzer With Kinetics or HAWK). Overall, the results showed that the selected shales cover a wide range of source rock organic and mineralogical properties. Major- and trace-element chemistry results showed low heterogeneity consistent with other USGS GRMs. Comparison of TOC results showed coefficients of variation (COV) of around 5% and the most consistent organic geochemical results between different laboratories and methods. Arguably the most relevant PP measurement, S2 or kerogen hydrocarbon-generating potential (mg-HC/g-rock), showed a somewhat wider range of variability than TOC (COV ~10%), but was consistent between the three modern instruments and the industry-standard Rock-Eval 2. Major phase mineralogy (mineral concentrations ≥10 wt. %, organic-free basis) were comparable between laboratories, but variability in minor phase identification and quantification was observed. Utilization of these shale GRMs as quality control samples and testing materials is expected to help support analytical and experimental efforts in the continued development of unconventional petroleum resources.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 7th Unconventional Resources Technology Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Unconventional Resources Technology Conference","conferenceDate":"July 22-24, 2019","conferenceLocation":"Denver, CO","language":"English","publisher":"American Association of Petroleum Geologists ","doi":"10.15530/urtec-2019-457","usgsCitation":"Birdwell, J.E., and Wilson, S., 2019, Variability in results from mineralogical and organic geochemical interlaboratory testing of U. S. Geological Survey shale reference materials, in Proceedings of the 7th Unconventional Resources Technology Conference, Denver, CO, July 22-24, 2019, 19 p., https://doi.org/10.15530/urtec-2019-457.","productDescription":"19 p.","ipdsId":"IP-107697","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":368362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Texas, Oklahoma 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Science Center","active":true,"usgs":true}],"preferred":true,"id":773282,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70206093,"text":"70206093 - 2019 - Evolutionary history predicts high-impact invasions by herbivorous insects","interactions":[],"lastModifiedDate":"2020-09-01T13:55:59.07044","indexId":"70206093","displayToPublicDate":"2019-10-17T07:39:29","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":"Evolutionary history predicts high-impact invasions by herbivorous insects","docAbstract":"A long‐standing goal of invasion biology is to identify factors driving highly variable impacts of non‐native species. Although hypotheses exist that emphasize the role of evolutionary history (e.g., enemy release hypothesis & defense‐free space hypothesis), predicting the impact of non‐native herbivorous insects has eluded scientists for over a century.\nUsing a census of all 58 non‐native conifer‐specialist insects in North America, we quantified the contribution of over 25 factors that could affect the impact they have on their novel hosts, including insect traits (fecundity, voltinism, native range, etc.), host traits (shade tolerance, growth rate, wood density, etc.), and evolutionary relationships (between native and novel hosts and insects).\nWe discovered that divergence times between native and novel hosts, the shade and drought tolerance of the novel host, and the presence of a coevolved congener on a shared host, were more predictive of impact than the traits of the invading insect. These factors built upon each other to strengthen our ability to predict the risk of a non‐native insect becoming invasive. This research is the first to empirically support historically assumed hypotheses about the importance of evolutionary history as a major driver of impact of non‐native herbivorous insects.\nOur novel, integrated model predicts whether a non‐native insect not yet present in North America will have a one in 6.5 to a one in 2,858 chance of causing widespread mortality of a conifer species if established (R2 = 0.91)\nSynthesis and applications. With this advancement, the risk to other conifer host species and regions can be assessed, and regulatory and pest management efforts can be more efficiently prioritized.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5709","usgsCitation":"Mech, A.M., Thomas, K.A., Marsico, T.D., Herms, D.A., Allen, C., Ayres, M.P., Gandhi, K., Gurevitch, J., Havill, N.P., Hufbauer, R.A., Liebhold, A.M., Raffa, K.F., Schulz, A.N., Uden, D.R., and Tobin, P.C., 2019, Evolutionary history predicts high-impact invasions by herbivorous insects: Ecology and Evolution, v. 9, no. 21, p. 12216-12230, https://doi.org/10.1002/ece3.5709.","productDescription":"15 p.","startPage":"12216","endPage":"12230","ipdsId":"IP-098825","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":459482,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5709","text":"Publisher Index Page"},{"id":437302,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CLFQMI","text":"USGS data release","linkHelpText":"Traits and Factors Catalog (TRAFAC): Conifer specialists of North America"},{"id":368476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"21","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Mech, Angela M.","contributorId":219892,"corporation":false,"usgs":false,"family":"Mech","given":"Angela","email":"","middleInitial":"M.","affiliations":[{"id":40087,"text":"School of Environmental and Forest Sciences, University of Washington, Seattle, WA. Corresponding email: ammech@wcu.edu. Present address: Department of Geosciences and Natural Resources, Western Carolina University, Cullowhee, NC","active":true,"usgs":false}],"preferred":false,"id":773543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Kathryn A. 0000-0002-7131-8564 kathryn_a_thomas@usgs.gov","orcid":"https://orcid.org/0000-0002-7131-8564","contributorId":167,"corporation":false,"usgs":true,"family":"Thomas","given":"Kathryn","email":"kathryn_a_thomas@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":773544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marsico, Travis D.","contributorId":219893,"corporation":false,"usgs":false,"family":"Marsico","given":"Travis","email":"","middleInitial":"D.","affiliations":[{"id":40088,"text":"Department of Biological Sciences, Arkansas State University, Jonesboro, AR","active":true,"usgs":false}],"preferred":false,"id":773545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herms, Daniel A.","contributorId":219895,"corporation":false,"usgs":false,"family":"Herms","given":"Daniel","email":"","middleInitial":"A.","affiliations":[{"id":40089,"text":"The Davey Tree Expert Company, Kent, OH","active":true,"usgs":false}],"preferred":false,"id":773547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Craig 0000-0001-8655-8227 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8227","contributorId":219896,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":773548,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ayres, Matthew P.","contributorId":219897,"corporation":false,"usgs":false,"family":"Ayres","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":35787,"text":"Department of Biological Sciences, Dartmouth College, Hanover, NH","active":true,"usgs":false}],"preferred":false,"id":773549,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gandhi, Kamal J.K.","contributorId":219898,"corporation":false,"usgs":false,"family":"Gandhi","given":"Kamal J.K.","affiliations":[{"id":40090,"text":"D.B. Warnell School of Forestry and Natural Resources, University of Georgia, Athens, GA","active":true,"usgs":false}],"preferred":false,"id":773550,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gurevitch, Jessica","contributorId":219899,"corporation":false,"usgs":false,"family":"Gurevitch","given":"Jessica","email":"","affiliations":[{"id":33447,"text":"Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY","active":true,"usgs":false}],"preferred":false,"id":773551,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Havill, Nathan P.","contributorId":219900,"corporation":false,"usgs":false,"family":"Havill","given":"Nathan","email":"","middleInitial":"P.","affiliations":[{"id":40091,"text":"Northern Research Station, USDA Forest Service, Hamden, CT","active":true,"usgs":false}],"preferred":false,"id":773552,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hufbauer, Ruth A.","contributorId":219901,"corporation":false,"usgs":false,"family":"Hufbauer","given":"Ruth","email":"","middleInitial":"A.","affiliations":[{"id":40092,"text":"Department of Bioagricultural Science and Pest Management, Colorado State University, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":773553,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Liebhold, Andrew M.","contributorId":219902,"corporation":false,"usgs":false,"family":"Liebhold","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":40093,"text":"USDA Forest Service Northern Research Station, Morgantown, WV","active":true,"usgs":false}],"preferred":false,"id":773554,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Raffa, Kenneth F.","contributorId":219903,"corporation":false,"usgs":false,"family":"Raffa","given":"Kenneth","email":"","middleInitial":"F.","affiliations":[{"id":40094,"text":"Department of Entomology, University of Wisconsin, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":773555,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Schulz, Ashley N.","contributorId":219894,"corporation":false,"usgs":false,"family":"Schulz","given":"Ashley","email":"","middleInitial":"N.","affiliations":[{"id":40088,"text":"Department of Biological Sciences, Arkansas State University, Jonesboro, AR","active":true,"usgs":false}],"preferred":false,"id":773546,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Uden, Daniel R.","contributorId":219904,"corporation":false,"usgs":false,"family":"Uden","given":"Daniel","email":"","middleInitial":"R.","affiliations":[{"id":40095,"text":"Nebraska Cooperative Fish and Wildlife Unit, School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE","active":true,"usgs":false}],"preferred":false,"id":773556,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Tobin, Patrick C.","contributorId":200172,"corporation":false,"usgs":false,"family":"Tobin","given":"Patrick","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":773557,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70206015,"text":"70206015 - 2019 - Competitive interactions among H, CU, and Zn ion moderate aqueous uptake of Cu and Zn by an aquatic insect","interactions":[],"lastModifiedDate":"2019-10-17T07:34:48","indexId":"70206015","displayToPublicDate":"2019-10-17T07:32:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Competitive interactions among H, CU, and Zn ion moderate aqueous uptake of Cu and Zn by an aquatic insect","docAbstract":"The absorption of aqueous copper (Cu) and zinc (Zn) by aquatic insects, a group widely used to assess water quality, is unresolved. This study examined interactions among Cu, Zn, and protons that potentially moderate Cu and Zn uptake by the acid-tolerant stonefly Zapada sp. Saturation uptake kinetics was imposed to identify competitive mechanisms. Decreasing pH reduced the maximum transport capacity, Jmax, in both metals, had little effect on the Cu dissociation constant, KD, and increased the Zn KD. Partial noncompetitive (Cu) and partial mixed competitive (Zn) inhibitor models most closely tracked the observed Cu and Zn influx across pH treatments. The estimated values for acid dissociation constants for the binary (proton-receptor) and ternary (proton-metal-receptor) complexes indicated the strong inhibitory effect of protons on Cu and Zn. In neutral pH water, Cu inhibited Zn uptake, but Zn had little effect on Cu uptake. The mechanism of Cu-Zn interaction was not identified. Results from separate Zn experiments suggested that the insect’s developmental stage may affect the apparent Jmax. The study underscores some of the challenges of modeling metal bioaccumulation and informs future research directions.","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2019.113220","usgsCitation":"Cain, D.J., Croteau, M.N., and Fuller, C.C., 2019, Competitive interactions among H, CU, and Zn ion moderate aqueous uptake of Cu and Zn by an aquatic insect: Environmental Pollution, v. 255, no. Part 1, 113220, https://doi.org/10.1016/j.envpol.2019.113220.","productDescription":"113220","ipdsId":"IP-111255","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":368359,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"255","issue":"Part 1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cain, Daniel J. 0000-0002-3443-0493 djcain@usgs.gov","orcid":"https://orcid.org/0000-0002-3443-0493","contributorId":1784,"corporation":false,"usgs":true,"family":"Cain","given":"Daniel","email":"djcain@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":773298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":773299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":773300,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70206951,"text":"70206951 - 2019 - Mechanics of inflationary deformation during Caldera collapse: Evidence from the 2018 Kīlauea Eruption","interactions":[],"lastModifiedDate":"2019-12-02T07:06:50","indexId":"70206951","displayToPublicDate":"2019-10-17T07:06:08","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":"Mechanics of inflationary deformation during Caldera collapse: Evidence from the 2018 Kīlauea Eruption","docAbstract":"During the 2018 Kilauea eruption the caldera ffloor dropped 500 meters in 62 nearly periodic events of up to 8 meters. Caldera collapse maintains pressure in the magma reservoir necessary to sustain high-rate eruptions. The 2018 collapses were accompanied by inflationary tilts and displacements, similar to observations at other basaltic calderas. Collapse is modeled in 2D by uniform slip dislocations intersecting a magma chamber. Collapses occurred rapidly, such that mass within the chamber was constant. For vertical faults surface deformation outside the collapse results only from chamber pressurization with displacements anti-parallel to pre-collapse deflation, similar to observations. For inward dipping faults the predicted ratio of horizontal to vertical displacements during collapse is greater than for the pre-collapse deflation, as observed. For outward dipping faults the horizontal displacements are inward, contrary to data. The average deformation trends during the eruption depend on fault dip and whether stress required to trigger collapses was constant or changed with time.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GL084689","usgsCitation":"Paul Segall, Anderson, K.R., Johanson, I.A., and Miklius, A., 2019, Mechanics of inflationary deformation during Caldera collapse: Evidence from the 2018 Kīlauea Eruption: Geophysical Research Letters, v. 46, no. 21, p. 11782-11789, https://doi.org/10.1029/2019GL084689.","productDescription":"8 p.","startPage":"11782","endPage":"11789","ipdsId":"IP-110422","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":369784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.38238525390625,\n 19.137384001472565\n ],\n [\n -155.07476806640625,\n 19.137384001472565\n ],\n [\n -155.07476806640625,\n 19.414792438099557\n ],\n [\n -155.38238525390625,\n 19.414792438099557\n ],\n [\n -155.38238525390625,\n 19.137384001472565\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"21","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Paul Segall","contributorId":200979,"corporation":false,"usgs":false,"family":"Paul Segall","affiliations":[],"preferred":false,"id":776355,"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":776354,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johanson, Ingrid A. 0000-0002-6049-2225","orcid":"https://orcid.org/0000-0002-6049-2225","contributorId":215613,"corporation":false,"usgs":true,"family":"Johanson","given":"Ingrid","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":776356,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miklius, Asta 0000-0002-2286-1886","orcid":"https://orcid.org/0000-0002-2286-1886","contributorId":215615,"corporation":false,"usgs":true,"family":"Miklius","given":"Asta","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":776357,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227813,"text":"70227813 - 2019 - Evaluating the effects of barriers on Slimy Sculpin movement and population connectivity using novel sibship-based and traditional genetic metrics","interactions":[],"lastModifiedDate":"2022-02-01T20:24:48.776105","indexId":"70227813","displayToPublicDate":"2019-10-16T15:24:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the effects of barriers on Slimy Sculpin movement and population connectivity using novel sibship-based and traditional genetic metrics","docAbstract":"

Population genetics-based approaches can provide robust and cost-effective ways to assess the effects of potential barriers, including dams and road-stream crossings, on the passage and population connectivity of aquatic organisms. Determining the best way to apply and modify genetic tools for different species and situations is essential for making these genetics-based approaches broadly applicable to fisheries and aquatic habitat management. Here, we used multiple genetic approaches to assess the movement and population structure of Slimy Sculpin Cottus cognatus at two road-stream crossings in Michigan and one dam in Massachusetts, USA. We captured and genotyped individual sculpin and assessed movement and population connectivity by using (1) a sibship-based approach, where the presence and proportional distribution of siblings on either side of a barrier indicates population connectivity and the possible direction of movement (i.e., presumed movement from higher to lower proportions), and (2) two Bayesian genetic assignment approaches (STRUCTURE and BayesAss) to identify migrants across potential barriers based on individual population assignment probabilities. We also used traditional genetic metrics to assess within-population genetic variation and among-population genetic divergence. At all three locations, we found evidence for sculpin movement across the potential barrier based on sibship reconstruction, but small family sizes limited the ability of this approach to provide robust estimates of the rate and direction of movement. At two sites, a lack of genetic differentiation between above- and below-barrier populations limited the effectiveness of the genetic assignment methods for identifying possible migrants. At the third site, reduced upstream allelic diversity and effective number of breeders resulted in high genetic differentiation (FST) between above- and below-barrier populations, and both sibship and genetic assignment methods provided strong evidence of limited connectivity and bias against upstream movement. Overall, combining approaches and metrics may help overcome the limitations of any one method and maximize the value of datasets for genetics-based monitoring and assessment.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10202","usgsCitation":"Weinstein, S.Y., Coombs, J.A., Nislow, K., Riley, C., Roy, A.H., and Whiteley, A., 2019, Evaluating the effects of barriers on Slimy Sculpin movement and population connectivity using novel sibship-based and traditional genetic metrics: Transactions of the American Fisheries Society, v. 148, no. 6, p. 1117-1131, https://doi.org/10.1002/tafs.10202.","productDescription":"15 p.","startPage":"1117","endPage":"1131","ipdsId":"IP-098904","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":459494,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10202","text":"Publisher Index Page"},{"id":395240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts, Michigan","otherGeospatial":"Arquilla Creek, Fall River, Peterson Creek","volume":"148","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Weinstein, Spencer Y.","contributorId":272869,"corporation":false,"usgs":false,"family":"Weinstein","given":"Spencer","email":"","middleInitial":"Y.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":832352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coombs, Jason A.","contributorId":270745,"corporation":false,"usgs":false,"family":"Coombs","given":"Jason","email":"","middleInitial":"A.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":832353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nislow, Keith H.","contributorId":60106,"corporation":false,"usgs":true,"family":"Nislow","given":"Keith H.","affiliations":[],"preferred":false,"id":832354,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Riley, Chris","contributorId":272875,"corporation":false,"usgs":false,"family":"Riley","given":"Chris","email":"","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":832355,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832351,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whiteley, Andrew R.","contributorId":272876,"corporation":false,"usgs":false,"family":"Whiteley","given":"Andrew R.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":832356,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70206593,"text":"70206593 - 2019 - Projected urban growth in the Southeastern USA puts small streams at risk","interactions":[],"lastModifiedDate":"2019-11-12T09:46:13","indexId":"70206593","displayToPublicDate":"2019-10-16T09:42:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Projected urban growth in the Southeastern USA puts small streams at risk","docAbstract":"Future land-use development has the potential to profoundly affect the health of aquatic ecosystems in the coming decades. We developed regression models predicting the loss of sensitive fish (R2=0.39) and macroinvertebrate (R2=0.64) taxa as a function of urban and agricultural land uses and applied them to projected urbanization of the rapidly urbanizing Piedmont ecoregion of the southeastern USA for 2030 and 2060. The regression models are based on a 2014 investigation of water quality and ecology of 75 wadeable streams across the region. Based on these projections, stream kilometers experiencing >50% loss of sensitive fish and invertebrate taxa will nearly quadruple to 19,500 and 38,950 km by 2060 (16 and 32% of small stream kilometers in the region), respectively. Uncertainty was assessed using the 20 and 80% probability of urbanization for the land-use projection model and using the 95% confidence intervals for the regression models. Adverse effects on stream health were linked to elevated concentrations of contaminants and nutrients, low dissolved oxygen, and streamflow alteration, all associated with urbanization. The results of this analysis provide a warning of potential risks from future urbanization and perhaps some guidance on how those risks might be mitigated.","language":"English","publisher":"PLoS One","doi":"10.1371/journal.pone.0222714","usgsCitation":"Van Metre, P.C., Waite, I.R., Qi, S.L., Mahler, B., Terando, A., Wieczorek, M., Meador, M.R., Bradley, P., Journey, C.A., Schmidt, T., and Carlisle, D.M., 2019, Projected urban growth in the Southeastern USA puts small streams at risk: PLoS ONE, v. 10, no. 14, e0222714, 17 p., https://doi.org/10.1371/journal.pone.0222714.","productDescription":"e0222714, 17 p.","ipdsId":"IP-101834","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":459503,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0222714","text":"Publisher Index Page"},{"id":369125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.1240234375,\n 39.13006024213511\n ],\n [\n -86.28662109375,\n 33.65120829920497\n ],\n [\n -85.4296875,\n 32.91648534731439\n ],\n [\n -78.15673828125,\n 35.746512259918504\n ],\n [\n -76.9482421875,\n 38.35888785866677\n ],\n [\n -76.83837890625,\n 38.95940879245423\n ],\n [\n -77.1240234375,\n 39.13006024213511\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"14","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Metre, Peter C. 0000-0001-7564-9814","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":211144,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":775071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Qi, Sharon L. 0000-0001-7278-4498 slqi@usgs.gov","orcid":"https://orcid.org/0000-0001-7278-4498","contributorId":1130,"corporation":false,"usgs":true,"family":"Qi","given":"Sharon","email":"slqi@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":775074,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Terando, Adam 0000-0002-9280-043X aterando@usgs.gov","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":220505,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","email":"aterando@usgs.gov","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":775075,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wieczorek, Michael","contributorId":220506,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775076,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meador, Michael R. 0000-0001-5956-3340 mrmeador@usgs.gov","orcid":"https://orcid.org/0000-0001-5956-3340","contributorId":195592,"corporation":false,"usgs":true,"family":"Meador","given":"Michael","email":"mrmeador@usgs.gov","middleInitial":"R.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":775077,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bradley, Paul M. 0000-0001-7522-8606","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":205668,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775078,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":189681,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775079,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775080,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":775081,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70212527,"text":"70212527 - 2019 - The effect of brine on the electrical properties of methane hydrate","interactions":[],"lastModifiedDate":"2021-10-05T19:40:34.37821","indexId":"70212527","displayToPublicDate":"2019-10-16T08:53:48","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":"The effect of brine on the electrical properties of methane hydrate","docAbstract":"

Gas hydrates possess lower electrical conductivity (inverse of resistivity) than either seawater or ice, but higher than clastic silts and sands, such that electromagnetic methods can be employed to help identify their natural formation in marine and permafrost environments. Controlled laboratory studies offer a means to isolate and quantify the effects of changing individual components within gas‐hydrate‐bearing systems, in turn yielding insight into the behavior of natural systems. Here we investigate the electrical properties of polycrystalline methane hydrate with ≥25% gas‐filled porosity and in mixture with brine. Initially, pure methane hydrate was synthesized from H2O ice and CH4 gas while undergoing electrical impedance measurement, then partially dissociated to assess the effects of pure pore water accumulation on electrical conductivity. Methane hydrate + brine mixtures were then formed by either adding NaCl (0.25–2.5 wt %) to high‐purity ice or by using frozen seawater as a reactant. Conductivity was obtained from impedance measurements made in situ throughout synthesis while temperature cycled between +15 °C and −25 °C. Several possible conduction mechanisms were subsequently determined using equivalent circuit modeling. Samples with low NaCl concentration show a doping/impurity effect and a log linear conductivity response as a function of temperature. For higher salt content samples, conductivity increases exponentially with temperature and the log linear relationship no longer holds; instead, we observe phase changes within the samples that follow NaCl–H2O–CH4 phase equilibrium predictions. Final samples were quenched in liquid nitrogen and imaged by cryogenic scanning electron microscopy (cryo‐SEM) to assess grain‐scale characteristics.

","language":"English","publisher":"Wiley","doi":"10.1029/2019JB018364","usgsCitation":"Lu, R., Stern, L.A., Du Frane, W.L., Pinkston, J.C., Roberts, J.M., and Constable, S., 2019, The effect of brine on the electrical properties of methane hydrate: Journal of Geophysical Research, v. 124, no. 11, p. 10877-10892, https://doi.org/10.1029/2019JB018364.","productDescription":"16 p.","startPage":"10877","endPage":"10892","ipdsId":"IP-107632","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":459504,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019jb018364","text":"Publisher Index Page"},{"id":377645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"11","noUsgsAuthors":false,"publicationDate":"2019-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Lu, Ryan","contributorId":238835,"corporation":false,"usgs":false,"family":"Lu","given":"Ryan","email":"","affiliations":[{"id":13621,"text":"Lawrence Livermore National Laboratory","active":true,"usgs":false}],"preferred":false,"id":796700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stern, Laura A. 0000-0003-3440-5674","orcid":"https://orcid.org/0000-0003-3440-5674","contributorId":212238,"corporation":false,"usgs":true,"family":"Stern","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":796701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Du Frane, Wyatt L.","contributorId":23067,"corporation":false,"usgs":false,"family":"Du Frane","given":"Wyatt","email":"","middleInitial":"L.","affiliations":[{"id":13621,"text":"Lawrence Livermore National Laboratory","active":true,"usgs":false}],"preferred":false,"id":796702,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pinkston, John C. 0000-0002-6232-4217","orcid":"https://orcid.org/0000-0002-6232-4217","contributorId":238840,"corporation":false,"usgs":true,"family":"Pinkston","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":796703,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roberts, J. Murray","contributorId":190565,"corporation":false,"usgs":false,"family":"Roberts","given":"J.","email":"","middleInitial":"Murray","affiliations":[],"preferred":false,"id":796704,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Constable, S.","contributorId":238841,"corporation":false,"usgs":false,"family":"Constable","given":"S.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":796705,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70210694,"text":"70210694 - 2019 - Detrital zircon geochronology along a structural transect across the Kahiltna assemblage in the western Alaska Range: Implications for emplacement of the Alexander-Wrangellia-Peninsular terrane against North America","interactions":[],"lastModifiedDate":"2023-11-03T16:04:37.674369","indexId":"70210694","displayToPublicDate":"2019-10-16T08:22:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Detrital zircon geochronology along a structural transect across the Kahiltna assemblage in the western Alaska Range: Implications for emplacement of the Alexander-Wrangellia-Peninsular terrane against North America","docAbstract":"The Kahiltna assemblage in the western Alaska Range consists of deformed Upper Jurassic and Cretaceous clastic strata that lie between the Alexander-Wrangellia-Peninsular (AWP) terrane to the south, and the Farewell and other peri-cratonic terranes to the north. Differences in detrital zircon populations and sandstone petrography allow geographic separation of the strata into two different successions, each consisting of multiple units, or petrofacies, with distinct provenance and lithologic characteristics. The northwestern succession was largely derived from older, inboard peri-cratonic terranes and correlates along strike to the southwest with the Kuskokwim Group. The southeastern succession is characterized by volcanic and plutonic rock detritus derived from Late Jurassic igneous rocks of the AWP terrane and mid to Late Cretaceous arc related igneous rocks and is part of a longer belt to the southwest and northeast, here named the Koksetna-Clearwater belt. The two successions remained separate depositional systems until the Late Cretaceous, when the northwestern succession overlapped the southeastern succession at about 81 Ma and they were deformed together by about 80 Ma by southeast-verging fold-and-thrust style deformation interpreted to represent final accretion of the AWP terrane along the southern Alaska margin. We interpret the tectonic evolution of the Kahiltna successions as a progression from forearc sedimentation and accretion in a south-facing continental magmatic arc to arrival and partial underthrusting of the backarc flank of an active, south-facing island arc system (AWP terrane). A modern analogue is the ongoing collision and partial underthrusting of the Izu-Bonin-Marianas island arc beneath the Japan Trench-Nankai Trough on the east side of central Japan.","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02060.1","usgsCitation":"Box, S.E., Karl, S.M., Jones, J.V., Bradley, D., Haeussler, P., and O’Sullivan, P.B., 2019, Detrital zircon geochronology along a structural transect across the Kahiltna assemblage in the western Alaska Range: Implications for emplacement of the Alexander-Wrangellia-Peninsular terrane against North America: Geosphere, v. 15, no. 6, p. 1774-1808, https://doi.org/10.1130/GES02060.1.","productDescription":"35 p.","startPage":"1774","endPage":"1808","ipdsId":"IP-101587","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":459508,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02060.1","text":"Publisher Index Page"},{"id":437306,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JV5LM9","text":"USGS data release","linkHelpText":"U-Pb Isotopic Data and Ages of Titanite and Detrital Zircon from Selected Rocks from the Western Alaska Range, Alaska"},{"id":375663,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"western Alaska Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -154,\n 61\n ],\n [\n -150,\n 61\n ],\n [\n -150,\n 62.5\n ],\n [\n -154,\n 62.5\n ],\n [\n -154,\n 61\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Box, Stephen E. 0000-0002-5268-8375 sbox@usgs.gov","orcid":"https://orcid.org/0000-0002-5268-8375","contributorId":1843,"corporation":false,"usgs":true,"family":"Box","given":"Stephen","email":"sbox@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":790993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karl, Susan M. 0000-0003-1559-7826 skarl@usgs.gov","orcid":"https://orcid.org/0000-0003-1559-7826","contributorId":502,"corporation":false,"usgs":true,"family":"Karl","given":"Susan","email":"skarl@usgs.gov","middleInitial":"M.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":790994,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, James V. III 0000-0002-6602-5935 jvjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6602-5935","contributorId":201245,"corporation":false,"usgs":true,"family":"Jones","given":"James","suffix":"III","email":"jvjones@usgs.gov","middleInitial":"V.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":790995,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradley, Dwight 0000-0001-9116-5289 bradleyorchard2@gmail.com","orcid":"https://orcid.org/0000-0001-9116-5289","contributorId":2358,"corporation":false,"usgs":true,"family":"Bradley","given":"Dwight","email":"bradleyorchard2@gmail.com","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":790996,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":790997,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Sullivan, Paul B.","contributorId":193544,"corporation":false,"usgs":false,"family":"O’Sullivan","given":"Paul","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":790998,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70227127,"text":"70227127 - 2019 - A mechanistic understanding of ecological responses to land-use change in headwater streams","interactions":[],"lastModifiedDate":"2021-12-30T14:08:03.519866","indexId":"70227127","displayToPublicDate":"2019-10-16T08:06:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"A mechanistic understanding of ecological responses to land-use change in headwater streams","docAbstract":"

Anthropogenic activities, such as oil and natural gas development (ONGD), have significantly altered the landscape. It is often challenging to identify the mechanistic processes underlying ecological responses to land-use change (LUC). In aquatic ecosystems, alterations to habitat and food availability and water quality associated with increased LUC are key mechanistic pathways that deserve management consideration. We used structural equation modeling to evaluate how LUC associated with ONGD could influence macroinvertebrate and fish across 40 sites in six headwater streams in the Wyoming Range of the Upper Green River Basin, Wyoming. The most important mechanistic pathway varied, but responses were frequently driven by a direct effect of LUC or related to changes in food availability and water quality. Habitat complexity was the least important mechanistic pathway in our models. Our results also highlight that responses may reflect an organism's degree of habitat or resource specialization and/or sensitivity to changes in water quality. Habitat pathways were more important for habitat specialists (e.g., Mottled Sculpin, Cottus bairdii), food pathways were more important for food specialists (e.g., Colorado River Cutthroat Trout, Oncorhynchus clarki pleuriticus; Mountain Sucker, Catostomus platyrhynchus), and sensitivity to increased salinity was important for intolerant species (e.g., O. clarki, C. bairdii, and predatory macroinvertebrates). Continued identification of the specific mechanisms underlying species’ responses to increased LUC will aid in the conservation of ecologically and economically important species.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2907","usgsCitation":"Walker, R., and Walters, A.W., 2019, A mechanistic understanding of ecological responses to land-use change in headwater streams: Ecosphere, v. 10, no. 10, e02907, 19 p., https://doi.org/10.1002/ecs2.2907.","productDescription":"e02907, 19 p.","ipdsId":"IP-107227","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":459510,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2907","text":"Publisher Index Page"},{"id":393645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"10","issue":"10","noUsgsAuthors":false,"publicationDate":"2019-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Walker, Richard H.","contributorId":270683,"corporation":false,"usgs":false,"family":"Walker","given":"Richard H.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":829745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":829744,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70205944,"text":"sir20195108 - 2019 - Spatial and temporal distribution of bacterial indicators and microbial-source tracking within Tumacácori National Historical Park and the upper Santa Cruz River, southern Arizona and northern Mexico, 2015–2016","interactions":[],"lastModifiedDate":"2019-10-15T14:56:51","indexId":"sir20195108","displayToPublicDate":"2019-10-15T09:30:42","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":"2019-5108","displayTitle":"Spatial and Temporal Distribution of Bacterial Indicators and Microbial-Source Tracking within Tumacácori National Historical Park and the Upper Santa Cruz River, Southern Arizona and Northern Mexico, 2015–2016","title":"Spatial and temporal distribution of bacterial indicators and microbial-source tracking within Tumacácori National Historical Park and the upper Santa Cruz River, southern Arizona and northern Mexico, 2015–2016","docAbstract":"

Tumacácori National Historical Park (TUMA) in southern Arizona protects the culturally important Mission San José de Tumacácori, while also managing a part of the ecologically diverse riparian corridor of the Santa Cruz River. The quality of the water flowing through depends solely on upstream watershed activities, and among the water-quality issues concerning TUMA is the microbiological pathogens in the river introduced by human and animal sources that pose a significant human health risk to employees and visitors. The U.S. Geological Survey (USGS) conducted a 3-year study to understand the sources, timing, and distribution of the fecal-indicator bacteria Escherichia coli (E. coli) within TUMA and the upstream watershed.

The information provided in this investigation is a result of a comprehensive approach to quantify the spatial and temporal variability of E. coli and suspended sediment in the Upper Santa Cruz River Watershed. Several types of flow were sampled from base flow to flood flow and at high frequency intervals (rise, peak, and recession) to determine daily variability, as well as seasonal variability. Hydrologic data collection and estimation techniques were used to establish a hydrologic relation with E. coli and suspended sediment. Furthermore, source tracking was used to describe the potential sources of E. coli. Models were developed that are expected to be useful for predicting E. coli concentrations to help TUMA managers understand instantaneous conditions to keep the public and staff informed about potentially harmful water-quality conditions. In addition, the concentration, flux, and source information will provide more accurate data for other surface-water modeling and can be useful in the development of total maximum daily load standards. This will help TUMA describe the water-quality conditions at the park and waters flowing through the park, as well as prioritize and help carry out future best-management actions to address these issues.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195108","collaboration":"Prepared in cooperation with the National Park Service, Tumacácori National Historical Park","usgsCitation":"Paretti, N.V., Kephart, C.M., Porter, T.J., Hermosillo, E., Cederberg, J.R., Mayo, J.P., Gungle, B., Coes, A.L., Tucci, R.S., and Norman, L.M., 2019, Spatial and temporal distribution of bacterial indicators and microbial-source tracking within Tumacácori National Historical Park and the upper Santa Cruz River, southern Arizona and northern Mexico, 2015–2016: U.S. Geological Survey Scientific Investigations Report 2019–5108, 102 p., https://doi.org/10.3133/sir20195108.","productDescription":"Report: xi, 102 p., Tables 1-6","numberOfPages":"102","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-099224","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":368276,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20193065","text":"Fact Sheet 2019-3065","linkHelpText":" - Escherichia coli in the Santa Cruz River in Tumacácori National Historical Park, Arizona"},{"id":368273,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5108/coverthb.jpg"},{"id":368274,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5108/sir20195108.pdf","text":"Report","size":"20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5108"},{"id":368275,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2019/5108/sir20195108_tables.xlsx","text":"Tables 1–6","size":"70 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2019-5108"}],"country":"United States, Mexico","otherGeospatial":"Tumacácori National Historical Park, Upper Santa Cruz River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.34368896484374,\n 30.987027960280326\n ],\n [\n -110.53070068359375,\n 30.987027960280326\n ],\n [\n -110.53070068359375,\n 32.02204906495204\n ],\n [\n -111.34368896484374,\n 32.02204906495204\n ],\n [\n -111.34368896484374,\n 30.987027960280326\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director,
Arizona Water Science Center
U.S. Geological Survey
520 N. Park Avenue
Tucson, AZ 85719

","tableOfContents":"

","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-10-15","noUsgsAuthors":false,"publicationDate":"2019-10-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Paretti, Nicholas V. 0000-0003-2178-4820 nparetti@usgs.gov","orcid":"https://orcid.org/0000-0003-2178-4820","contributorId":173412,"corporation":false,"usgs":true,"family":"Paretti","given":"Nicholas","email":"nparetti@usgs.gov","middleInitial":"V.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kephart, Christopher M. 0000-0002-3369-5596 ckephart@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-5596","contributorId":1932,"corporation":false,"usgs":true,"family":"Kephart","given":"Christopher","email":"ckephart@usgs.gov","middleInitial":"M.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Porter, Thomas J. 0000-0003-3956-9467 tjporter@usgs.gov","orcid":"https://orcid.org/0000-0003-3956-9467","contributorId":195160,"corporation":false,"usgs":true,"family":"Porter","given":"Thomas","email":"tjporter@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":773004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hermosillo, Edyth 0000-0003-1648-1016","orcid":"https://orcid.org/0000-0003-1648-1016","contributorId":219723,"corporation":false,"usgs":true,"family":"Hermosillo","given":"Edyth","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773005,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cederberg, Jay R. 0000-0001-6649-7353 cederber@usgs.gov","orcid":"https://orcid.org/0000-0001-6649-7353","contributorId":964,"corporation":false,"usgs":true,"family":"Cederberg","given":"Jay","email":"cederber@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773006,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mayo, Justine P. 0000-0002-2684-5031 jmayo@usgs.gov","orcid":"https://orcid.org/0000-0002-2684-5031","contributorId":197035,"corporation":false,"usgs":true,"family":"Mayo","given":"Justine","email":"jmayo@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773007,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gungle, Bruce 0000-0001-6406-1206 bgungle@usgs.gov","orcid":"https://orcid.org/0000-0001-6406-1206","contributorId":2237,"corporation":false,"usgs":true,"family":"Gungle","given":"Bruce","email":"bgungle@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773008,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Coes, Alissa L. 0000-0001-6682-5417 alcoes@usgs.gov","orcid":"https://orcid.org/0000-0001-6682-5417","contributorId":4231,"corporation":false,"usgs":true,"family":"Coes","given":"Alissa","email":"alcoes@usgs.gov","middleInitial":"L.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773009,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tucci, Rachel S. 0000-0001-7778-3435","orcid":"https://orcid.org/0000-0001-7778-3435","contributorId":219726,"corporation":false,"usgs":true,"family":"Tucci","given":"Rachel","email":"","middleInitial":"S.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773011,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":219725,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":773010,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ]}