During the summer 2015, the U.S. Geological Survey collected geologic and geotechnical data for two sites on coastal bluffs along the eastern shore of Puget Sound, Washington. The U.S. Geological Survey also installed hydrologic instrumentation at the sites and collected specimens for laboratory testing. The two sites are located on City of Mukilteo open-space land and are about 0.6 kilometers apart. The bluffs at each site are approximately 42 meters high, and rise steeply from the shoreline with 32–35° slopes. The more northerly of the two sites occupies an active landslide and is mostly unvegetated. The other site is forested, and although stable during the preparation of this report, shows evidence of historical and potential landslide activity. The slopes of the bluffs at both sites are mantled by a thin, nonuniform colluvium underlain by clay-rich glacial deposits and tills of the Whidbey Formation or Double Bluff Drift. Till consisting of sand, gravel, and cobbles caps the bluffs and rests on finer grained glacial deposits of sand, silt, and clay. These types of different glacial deposits are dense, vertically fractured, and generally have low permeability, but field observations indicate that locally the deposits are sufficiently permeable to allow lateral flow of water along fractures and subhorizontal boundaries between deposits of different texture. Laboratory tests indicate that many of the deposits are highly plastic, with low hydraulic conductivity, and moderate shear strength. Steep slopes combined with the strength and hydraulic characteristics of the deposits leave the bluffs prone to slope instability, particularly during the wet season when infiltrating rainfall changes moisture content, pore-water pressure, and effective stress within the hillslope. The instrumentation was designed to primarily observe rainfall variability and hydrologic changes in the subsurface that can affect stability of the bluffs, and also to compare the hydrologic response between areas where previous landslides have disturbed vegetation and areas where the bluff is apparently more stable and well vegetated.
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Parasites and pathogens are increasingly recognized as significant drivers of ecological and evolutionary change in natural ecosystems. Concurrently, transmission of infectious agents among human, livestock, and wildlife populations represents a growing threat to veterinary and human health. In light of these trends and the scarcity of long-term time series data on infection rates among vectors and reservoirs, the National Ecological Observatory Network (NEON) will collect measurements and samples of a suite of tick-, mosquito-, and rodent-borne parasites through a continental-scale surveillance program. Here, we describe the sampling designs for these efforts, highlighting sampling priorities, field and analytical methods, and the data as well as archived samples to be made available to the research community. Insights generated by this sampling will advance current understanding of and ability to predict changes in infection and disease dynamics in novel, interdisciplinary, and collaborative ways.
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Observations from the Mars Science Laboratory Curiosity rover and the Mars Reconnaissance Orbiter reveal that Mars hosts a third stable wind-driven bedform, with meter-scale wavelengths. These bedforms are spatially uniform in size and typically have asymmetric profiles with angle-of-repose lee slopes and sinuous crest lines, making them unlike terrestrial wind ripples. Rather, these structures resemble fluid-drag ripples, which on Earth include water-worked current ripples, but on Mars instead form by wind because of the higher kinematic viscosity of the low-density atmosphere. A reevaluation of the wind-deposited strata in the Burns formation (about 3.7 billion years old or younger) identifies potential wind-drag ripple stratification formed under a thin atmosphere.
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At one location within a segment of remaining rim material surrounding Endeavour Crater, a set of “boxwork” fractures in an outcrop called Esperance are filled by a bright, hydrated, and highly siliceous (SiO2 ~ 66 wt%) material, which has overall a montmorillonite-like chemical composition. This material is partially covered by patches of a thin, dark coating that is sulfate-rich (SO3 ~ 21 wt%) but also contains significant levels of Si, Fe, Ca, and Mg. The simultaneous presence of abundant S, Si, and Fe indicates significant mineralogical complexity within the coating. This combination of vein and coating compositions is unlike previous analyses on Mars. Both materials are heterogeneously eroded, presumably by eolian abrasion. The evidence indicates at least two separate episodes of solute precipitation from aqueous fluids at this location, possibly widely separated in time. In addition to the implications for multiple episodes of alteration at the surface of the planet, aqueous chemical environments such as these would have been habitable at the time of their formation and are also favorable for preservation of organic material.
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","language":"English","publisher":"Society for Mining, Metallurgy & Exploration","usgsCitation":"Wilburn, D., and Karl, N., 2016, Exploration review: Mining Engineering, no. May, p. 30-51.","productDescription":"22 p.","startPage":"30","endPage":"51","ipdsId":"IP-074890","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":381831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"May","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wilburn, David R.","contributorId":246002,"corporation":false,"usgs":true,"family":"Wilburn","given":"David R.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":807474,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karl, Nick 0000-0003-2858-2498 nkarl@usgs.gov","orcid":"https://orcid.org/0000-0003-2858-2498","contributorId":178317,"corporation":false,"usgs":true,"family":"Karl","given":"Nick","email":"nkarl@usgs.gov","affiliations":[],"preferred":true,"id":807475,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70174942,"text":"70174942 - 2016 - A water balance model to estimate flow through the Old and Middle River corridor","interactions":[],"lastModifiedDate":"2016-07-22T18:51:32","indexId":"70174942","displayToPublicDate":"2016-07-01T07:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"A water balance model to estimate flow through the Old and Middle River corridor","docAbstract":"We applied a water balance model to predict tidally averaged (subtidal) flows through the Old River and Middle River corridor in the Sacramento–San Joaquin Delta. We reviewed the dynamics that govern subtidal flows and water levels and adopted a simplified representation. In this water balance approach, we estimated ungaged flows as linear functions of known (or specified) flows. We assumed that subtidal storage within the control volume varies because of fortnightly variation in subtidal water level, Delta inflow, and barometric pressure. The water balance model effectively predicts subtidal flows and approaches the accuracy of a 1–D Delta hydrodynamic model. We explore the potential to improve the approach by representing more complex dynamics and identify possible future improvements.
","language":"English","doi":"10.15447/sfews.2016v14iss2art2","usgsCitation":"Andrews, S.W., Gross, E.S., and Hutton, P.H., 2016, A water balance model to estimate flow through the Old and Middle River corridor: San Francisco Estuary and Watershed Science, v. 14, no. 2, Article 2; 21 p., https://doi.org/10.15447/sfews.2016v14iss2art2.","productDescription":"Article 2; 21 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075258","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":470777,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2016v14iss2art2","text":"Publisher Index Page"},{"id":325579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Middle River, Old River, Sacramento-San Joaquin Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.61590576171876,\n 37.65773212628274\n ],\n [\n -121.61590576171876,\n 38.0621486721586\n ],\n [\n -121.24374389648438,\n 38.0621486721586\n ],\n [\n -121.24374389648438,\n 37.65773212628274\n ],\n [\n -121.61590576171876,\n 37.65773212628274\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-18","publicationStatus":"PW","scienceBaseUri":"57934440e4b0eb1ce79e8bd4","contributors":{"authors":[{"text":"Andrews, Stephen W.","contributorId":173127,"corporation":false,"usgs":false,"family":"Andrews","given":"Stephen","email":"","middleInitial":"W.","affiliations":[{"id":16871,"text":"Resource Management Associates","active":true,"usgs":false}],"preferred":false,"id":643378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gross, Edward S.","contributorId":173128,"corporation":false,"usgs":false,"family":"Gross","given":"Edward","email":"","middleInitial":"S.","affiliations":[{"id":16871,"text":"Resource Management Associates","active":true,"usgs":false}],"preferred":false,"id":643255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hutton, Paul H.","contributorId":173129,"corporation":false,"usgs":false,"family":"Hutton","given":"Paul","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":643379,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70174569,"text":"70174569 - 2016 - Infectious diseases of wolves in Yellowstone","interactions":[],"lastModifiedDate":"2018-11-15T10:33:29","indexId":"70174569","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3802,"text":"Yellowstone Science","active":true,"publicationSubtype":{"id":10}},"title":"Infectious diseases of wolves in Yellowstone","docAbstract":"The summer of 2005 began with such promise for wolves in Yellowstone. The population had been at an all-time high the last few years, and the wolves appeared to be in good condition. Several packs had been particularly busy during the breeding season, and early summer pup counts suggested another healthy crop of new wolves rising through the ranks.
","language":"English","publisher":"National Park Service","usgsCitation":"Almberg, E., Cross, P.C., Hudson, P., Dobson, A.P., Smith, D.W., and Stahler, D.R., 2016, Infectious diseases of wolves in Yellowstone: Yellowstone Science, v. 24, no. 1, p. 47-49.","productDescription":"3 p.","startPage":"47","endPage":"49","numberOfPages":"3","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069334","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":325233,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325172,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/yell/learn/yellowstone-science-24-1-celebrating-20-years-of-wolves.htm"}],"country":"United States","state":"Colorado","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.149169921875,\n 43.5843700152048\n ],\n [\n -109.149169921875,\n 44.99588261816546\n ],\n [\n -107.76489257812499,\n 44.99588261816546\n ],\n [\n -107.76489257812499,\n 43.5843700152048\n ],\n [\n -109.149169921875,\n 43.5843700152048\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5787662ee4b0d27deb36e186","contributors":{"authors":[{"text":"Almberg, Emily S.","contributorId":101111,"corporation":false,"usgs":true,"family":"Almberg","given":"Emily S.","affiliations":[],"preferred":false,"id":642326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":642325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hudson, Peter J.","contributorId":85056,"corporation":false,"usgs":true,"family":"Hudson","given":"Peter J.","affiliations":[],"preferred":false,"id":642327,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dobson, Andrew P.","contributorId":63693,"corporation":false,"usgs":true,"family":"Dobson","given":"Andrew","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":642328,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Douglas W.","contributorId":95727,"corporation":false,"usgs":true,"family":"Smith","given":"Douglas","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":642329,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stahler, Daniel R.","contributorId":57703,"corporation":false,"usgs":true,"family":"Stahler","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":642330,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70176482,"text":"70176482 - 2016 - Infrastructure system restoration planning using evolutionary algorithms","interactions":[],"lastModifiedDate":"2017-06-29T11:58:27","indexId":"70176482","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5372,"text":"INCOSE International Symposium","active":true,"publicationSubtype":{"id":10}},"title":"Infrastructure system restoration planning using evolutionary algorithms","docAbstract":"This paper presents an evolutionary algorithm to address restoration issues for supply chain interdependent critical infrastructure. Rapid restoration of infrastructure after a large-scale disaster is necessary to sustaining a nation's economy and security, but such long-term restoration has not been investigated as thoroughly as initial rescue and recovery efforts. A model of the Greater Saint Louis Missouri area was created and a disaster scenario simulated. An evolutionary algorithm is used to determine the order in which the bridges should be repaired based on indirect costs. Solutions were evaluated based on the reduction of indirect costs and the restoration of transportation capacity. When compared to a greedy algorithm, the evolutionary algorithm solution reduced indirect costs by approximately 12.4% by restoring automotive travel routes for workers and re-establishing the flow of commodities across the three rivers in the Saint Louis area.
","language":"English","publisher":"Wiley","doi":"10.1002/j.2334-5837.2016.00272.x","usgsCitation":"Corns, S., Long, S.K., and Shoberg, T.G., 2016, Infrastructure system restoration planning using evolutionary algorithms: INCOSE International Symposium, v. 26, no. 1, p. 1947-1956, https://doi.org/10.1002/j.2334-5837.2016.00272.x.","productDescription":"10 p.","startPage":"1947","endPage":"1956","ipdsId":"IP-071024","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":339971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-13","publicationStatus":"PW","scienceBaseUri":"58f877b9e4b0b7ea54521c1a","contributors":{"authors":[{"text":"Corns, Steven","contributorId":146271,"corporation":false,"usgs":false,"family":"Corns","given":"Steven","affiliations":[{"id":16655,"text":"Dept. of Engineering Management and Systems Engineering, Missouri University of Science and Technology, Rolla, MO","active":true,"usgs":false}],"preferred":false,"id":692164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Suzanna K.","contributorId":146270,"corporation":false,"usgs":false,"family":"Long","given":"Suzanna","email":"","middleInitial":"K.","affiliations":[{"id":16655,"text":"Dept. of Engineering Management and Systems Engineering, Missouri University of Science and Technology, Rolla, MO","active":true,"usgs":false}],"preferred":false,"id":692165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shoberg, Thomas G. 0000-0003-0173-1246 tshoberg@usgs.gov","orcid":"https://orcid.org/0000-0003-0173-1246","contributorId":3764,"corporation":false,"usgs":true,"family":"Shoberg","given":"Thomas","email":"tshoberg@usgs.gov","middleInitial":"G.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":648905,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176820,"text":"70176820 - 2016 - Fault zone characteristics and basin complexity in the southern Salton Trough, California","interactions":[],"lastModifiedDate":"2016-10-11T13:03:55","indexId":"70176820","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Fault zone characteristics and basin complexity in the southern Salton Trough, California","docAbstract":"Ongoing oblique slip at the Pacific–North America plate boundary in the Salton Trough produced the Imperial Valley (California, USA), a seismically active area with deformation distributed across a complex network of exposed and buried faults. To better understand the shallow crustal structure in this region and the connectivity of faults and seismicity lineaments, we used data primarily from the Salton Seismic Imaging Project to construct a three-dimensional P-wave velocity model down to 8 km depth and a velocity profile to 15 km depth, both at 1 km grid spacing. A VP = 5.65–5.85 km/s layer of possibly metamorphosed sediments within, and crystalline basement outside, the valley is locally as thick as 5 km, but is thickest and deepest in fault zones and near seismicity lineaments, suggesting a causative relationship between the low velocities and faulting. Both seismicity lineaments and surface faults control the structural architecture of the western part of the larger wedge-shaped basin, where two deep subbasins are located. We estimate basement depths, and show that high velocities at shallow depths and possible basement highs characterize the geothermal areas.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G38033.1","usgsCitation":"Persaud, P., Ma, Y., Stock, J.M., Hole, J.A., Fuis, G.S., and Han, L., 2016, Fault zone characteristics and basin complexity in the southern Salton Trough, California: Geology, v. 44, no. 9, p. 747-750, https://doi.org/10.1130/G38033.1.","productDescription":"4 p.","startPage":"747","endPage":"750","ipdsId":"IP-078827","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":329437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Salton Trough","volume":"44","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-01","publicationStatus":"PW","scienceBaseUri":"57fe679ee4b0824b2d143711","contributors":{"authors":[{"text":"Persaud, Patricia","contributorId":175210,"corporation":false,"usgs":false,"family":"Persaud","given":"Patricia","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":650423,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ma, Yiran","contributorId":175211,"corporation":false,"usgs":false,"family":"Ma","given":"Yiran","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":650424,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stock, Joann M.","contributorId":21057,"corporation":false,"usgs":true,"family":"Stock","given":"Joann","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":650425,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hole, John A.","contributorId":104801,"corporation":false,"usgs":true,"family":"Hole","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":650426,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fuis, Gary S. 0000-0002-3078-1544 fuis@usgs.gov","orcid":"https://orcid.org/0000-0002-3078-1544","contributorId":2639,"corporation":false,"usgs":true,"family":"Fuis","given":"Gary","email":"fuis@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":650422,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Han, Liang","contributorId":49690,"corporation":false,"usgs":true,"family":"Han","given":"Liang","email":"","affiliations":[],"preferred":false,"id":650427,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70176954,"text":"70176954 - 2016 - Decision-making for foot-and-mouth disease control: Objectives matter","interactions":[],"lastModifiedDate":"2017-04-27T10:24:31","indexId":"70176954","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5213,"text":"Epidemics","active":true,"publicationSubtype":{"id":10}},"title":"Decision-making for foot-and-mouth disease control: Objectives matter","docAbstract":"Formal decision-analytic methods can be used to frame disease control problems, the first step of which is to define a clear and specific objective. We demonstrate the imperative of framing clearly-defined management objectives in finding optimal control actions for control of disease outbreaks. We illustrate an analysis that can be applied rapidly at the start of an outbreak when there are multiple stakeholders involved with potentially multiple objectives, and when there are also multiple disease models upon which to compare control actions. The output of our analysis frames subsequent discourse between policy-makers, modellers and other stakeholders, by highlighting areas of discord among different management objectives and also among different models used in the analysis. We illustrate this approach in the context of a hypothetical foot-and-mouth disease (FMD) outbreak in Cumbria, UK using outputs from five rigorously-studied simulation models of FMD spread. We present both relative rankings and relative performance of controls within each model and across a range of objectives. Results illustrate how control actions change across both the base metric used to measure management success and across the statistic used to rank control actions according to said metric. This work represents a first step towards reconciling the extensive modelling work on disease control problems with frameworks for structured decision making.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epidem.2015.11.002","usgsCitation":"Probert, W., Shea, K., Fonnesbeck, C.J., Runge, M.C., Carpenter, T.E., Durr, S., Garner, M., Harvey, N., Stevenson, M.A., Webb, C.T., Werkman, M., Tildesley, M., and Ferrari, M., 2016, Decision-making for foot-and-mouth disease control: Objectives matter: Epidemics, v. 15, p. 10-19, https://doi.org/10.1016/j.epidem.2015.11.002.","productDescription":"10 p.","startPage":"10","endPage":"19","ipdsId":"IP-070103","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470780,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epidem.2015.11.002","text":"Publisher Index Page"},{"id":329545,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58009d54e4b0824b2d183b87","contributors":{"authors":[{"text":"Probert, William J. M.","contributorId":44759,"corporation":false,"usgs":false,"family":"Probert","given":"William J. M.","affiliations":[],"preferred":false,"id":650852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shea, Katriona","contributorId":8783,"corporation":false,"usgs":true,"family":"Shea","given":"Katriona","affiliations":[],"preferred":false,"id":650853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fonnesbeck, Christopher J.","contributorId":83047,"corporation":false,"usgs":true,"family":"Fonnesbeck","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":650854,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":650855,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carpenter, Tim E.","contributorId":175354,"corporation":false,"usgs":false,"family":"Carpenter","given":"Tim","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":650856,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Durr, Salome","contributorId":175355,"corporation":false,"usgs":false,"family":"Durr","given":"Salome","email":"","affiliations":[],"preferred":false,"id":650857,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Garner, M. 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Graeme","affiliations":[],"preferred":false,"id":650858,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harvey, Neil","contributorId":175357,"corporation":false,"usgs":false,"family":"Harvey","given":"Neil","email":"","affiliations":[],"preferred":false,"id":650859,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stevenson, Mark A.","contributorId":175358,"corporation":false,"usgs":false,"family":"Stevenson","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":650860,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Webb, Colleen T.","contributorId":52471,"corporation":false,"usgs":true,"family":"Webb","given":"Colleen","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":650861,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Werkman, Marleen","contributorId":175359,"corporation":false,"usgs":false,"family":"Werkman","given":"Marleen","email":"","affiliations":[],"preferred":false,"id":650862,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tildesley, Michael J.","contributorId":100772,"corporation":false,"usgs":true,"family":"Tildesley","given":"Michael J.","affiliations":[],"preferred":false,"id":650863,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ferrari, Matthew J.","contributorId":67082,"corporation":false,"usgs":true,"family":"Ferrari","given":"Matthew J.","affiliations":[],"preferred":false,"id":650864,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70176032,"text":"70176032 - 2016 - Acoustic surveys of Hawaiian Hoary Bats in Kahikinui Forest Reserve and Nakula Natural Area Reserve on the Island of Maui","interactions":[],"lastModifiedDate":"2018-01-08T20:18:07","indexId":"70176032","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":257,"text":"Hawai‘i Cooperative Studies Unit Technical Report","active":false,"publicationSubtype":{"id":3}},"seriesNumber":"HCSU-078","title":"Acoustic surveys of Hawaiian Hoary Bats in Kahikinui Forest Reserve and Nakula Natural Area Reserve on the Island of Maui","docAbstract":"The Kahikinui Forest Reserve and the adjoining Nakula Natural Area Reserve (KFR-NNAR) was established in 2011 as a conservation area on the leeward slope of Haleakalā Volcano on the island of Maui to protect unique natural features and endangered species including the Hawaiian hoary bat, Lasiurus cinereus semotus. We recorded bat vocalizations from July 2012 to November 2014 using automated echolocation detectors at 14 point locations in the KFRNNAR. Our study area included remnants of recovering mesic montane forest with interspersed grasses (1,250‒1,850 m elevation, hereafter called “forest”) and xeric subalpine shrubland plant communities (1,860‒2,800 m, hereafter called “shrubland”). Monthly detections of Hawaiian hoary bats, Lasiurus cinereus semotus, within the KFR-NNAR identified areas of high and low detection probability as well as foraging activity. Sixty per cent of all detector-nights had confirmed bat vocalizations and included detections in every month of the study. Monthly detection probability values were highest from July to November 2012; these values were significantly greater than values measured in any month thereafter. Pooled values of detection probabilities, mean pulses/night, percentage of nights with feeding activity, and acoustic detections all were greater in the recovering forest zone than corresponding values from the shrublands. Our data provide baseline levels of hoary bat echolocation activity that may be compared with future studies in the KFR-NNAR relative to success criteria for Hawaiian hoary bat habitat restoration.
","language":"English","publisher":"University of Hawaii at Hilo","usgsCitation":"Todd, C.M., Pinzari, C., and Bonaccorso, F., 2016, Acoustic surveys of Hawaiian Hoary Bats in Kahikinui Forest Reserve and Nakula Natural Area Reserve on the Island of Maui (78): Hawai‘i Cooperative Studies Unit Technical Report HCSU-078, 23 p. .","productDescription":"23 p. ","startPage":"1","endPage":"22","ipdsId":"IP-077250","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":332128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":327760,"type":{"id":15,"text":"Index Page"},"url":"https://dspace.lib.hawaii.edu/bitstream/10790/2761/6/Bonaccorso_Kahikinui71116.pdf"}],"country":"United States","state":"Hawaii","otherGeospatial":"Island of Maui, Haleakalā Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.3189697265625,\n 20.634069450427823\n ],\n [\n -156.3189697265625,\n 20.73813455404505\n ],\n [\n -156.15142822265625,\n 20.73813455404505\n ],\n [\n -156.15142822265625,\n 20.634069450427823\n ],\n [\n -156.3189697265625,\n 20.634069450427823\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"78","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585268e0e4b0e2663625ec82","contributors":{"authors":[{"text":"Todd, Christopher M.","contributorId":64548,"corporation":false,"usgs":true,"family":"Todd","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":646831,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pinzari, Corinna A.","contributorId":57359,"corporation":false,"usgs":true,"family":"Pinzari","given":"Corinna A.","affiliations":[],"preferred":false,"id":646832,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bonaccorso, Frank 0000-0002-5490-3083 fbonaccorso@usgs.gov","orcid":"https://orcid.org/0000-0002-5490-3083","contributorId":143709,"corporation":false,"usgs":true,"family":"Bonaccorso","given":"Frank","email":"fbonaccorso@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":646830,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70175080,"text":"70175080 - 2016 - Seasonal sediment dynamics shape temperate bedrock reef communities","interactions":[],"lastModifiedDate":"2016-10-04T09:16:28","indexId":"70175080","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal sediment dynamics shape temperate bedrock reef communities","docAbstract":"Mobilized seafloor sediment can impact benthic reef communities through burial, scour, and turbidity. These processes are ubiquitous in coastal oceans and, through their influence on the survival, fitness, and interactions of species, can alter the structure and function of benthic communities. In northern Monterey Bay, California, USA, as much as 30% of the seafloor is buried or exposed seasonally, making this an ideal location to test how subtidal temperate rocky reef communities vary in the presence and absence of chronic sediment-based disturbances. Designated dynamic plots were naturally inundated by sediment in summer (50 to 100% cover) and swept clean in winter, whereas designated stable plots remained free of sediment during our study. Multivariate analyses indicated significant differences in the structure of sessile and mobile communities between dynamic and stable reef habitats. For sessile species, community structure in disturbed plots was less variable in space and time than in stable plots due to the maintenance of an early successional state. In contrast, community structure of mobile species varied more in disturbed plots than in stable plots, reflecting how mobile species distribute in response to sediment dynamics. Some species were found only in these disturbed areas, suggesting that the spatial mosaic of disturbance could increase regional diversity. We discuss how the relative ability of species to tolerate disturbance at different life history stages and their ability to colonize habitat translate into community-level differences among habitats, and how this response varies between mobile and sessile communities.
","language":"English","publisher":"Inter-Research","doi":"10.3354/meps11763","usgsCitation":"Figurski, J.D., Freiwald, J., Lonhart, S.I., and Storlazzi, C.D., 2016, Seasonal sediment dynamics shape temperate bedrock reef communities: Marine Ecology Progress Series, v. 552, p. 19-29, https://doi.org/10.3354/meps11763.","productDescription":"11 p.","startPage":"19","endPage":"29","ipdsId":"IP-059376","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470781,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps11763","text":"Publisher Index Page"},{"id":329252,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Monterey Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.08136558532713,\n 36.94316941700314\n ],\n [\n -122.08136558532713,\n 36.962923262794064\n ],\n [\n -122.02119827270508,\n 36.962923262794064\n ],\n [\n -122.02119827270508,\n 36.94316941700314\n ],\n [\n -122.08136558532713,\n 36.94316941700314\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"552","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7c6a8e4b0bc0bec09caa9","contributors":{"authors":[{"text":"Figurski, Jared D.","contributorId":16307,"corporation":false,"usgs":true,"family":"Figurski","given":"Jared","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":643860,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freiwald, Jan","contributorId":15505,"corporation":false,"usgs":true,"family":"Freiwald","given":"Jan","email":"","affiliations":[],"preferred":false,"id":643861,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lonhart, Steve I.","contributorId":104381,"corporation":false,"usgs":true,"family":"Lonhart","given":"Steve","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":643862,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":643859,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70175540,"text":"70175540 - 2016 - Detection and quantification of hydrocarbons in sediments","interactions":[],"lastModifiedDate":"2017-02-15T15:25:01","indexId":"70175540","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Detection and quantification of hydrocarbons in sediments","docAbstract":"A new technology developed by the US Geological Survey now allows for fast, direct detection of hydrocarbon plumes both in rivers and drifting in the deep ocean. Recent experiments show that the method can also detect and quantify hydrocarbons buried in river sediments and estuaries. This approach uses a variant of induced polarization, a surface-sensitive physical property of certain polarizable materials immersed in an electrolyte that can accept and adsorb charge under an inducing voltage. Known polarizable materials include most sulfides, ilmenite (FeTiO3), metallic objects such as buried wrecks and pipelines, and now hydrocarbons. The hydrocarbon-in-water response to induced polarization is in fact nearly two orders of magnitude greater than the IP response of any of the hard minerals. The oil:water detection limit for hydrocarbons so far is down to 0.0002% in the laboratory.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"OCEANS 2016 MTS/IEEE Monterey","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"IEEE","doi":"10.1109/OCEANS.2016.7761416","usgsCitation":"Wynn, J., Williamson, M., and Frank, J., 2016, Detection and quantification of hydrocarbons in sediments, in OCEANS 2016 MTS/IEEE Monterey, Conference paper, https://doi.org/10.1109/OCEANS.2016.7761416.","productDescription":"Conference paper","ipdsId":"IP-077815","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":335628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a576cee4b057081a24eda7","contributors":{"authors":[{"text":"Wynn, Jeff 0000-0002-8102-3882 jwynn@usgs.gov","orcid":"https://orcid.org/0000-0002-8102-3882","contributorId":2803,"corporation":false,"usgs":true,"family":"Wynn","given":"Jeff","email":"jwynn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":645584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williamson, Mike","contributorId":146794,"corporation":false,"usgs":false,"family":"Williamson","given":"Mike","email":"","affiliations":[],"preferred":false,"id":645585,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frank, Jeff","contributorId":173704,"corporation":false,"usgs":false,"family":"Frank","given":"Jeff","email":"","affiliations":[{"id":27277,"text":"Williamson & Associates","active":true,"usgs":false}],"preferred":false,"id":645586,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70174605,"text":"70174605 - 2016 - Accretionary lapilli: what’s holding them together?","interactions":[],"lastModifiedDate":"2019-06-13T10:26:14","indexId":"70174605","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Accretionary lapilli: what’s holding them together?","docAbstract":"Accretionary lapilli from Tagus cone, Isla Isabela, Galápagos were analyzed using scanning electron microscope (SEM) and energy-dispersive X-ray spectroscopy (EDS) techniques. Our main findings are (1) the lapilli formed and hardened in a few minutes while still aloft in the dispersing eruption column. (2) Palagonite rinds developed first on the basaltic glass clasts, and subsequently crystallized (3) The crystallization products contain submicron lamellar crystals of a clay (probably smectite) on the surfaces of basaltic glass clasts and (4) The interlocking of these lamellar clays from adjacent clasts binds and cements them together to form the accretionary lapillus. We argue that palagonite and possibly clay formation occur primarily in the presence of hot water vapor.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Going LOCO: Investigations along the Lower Colorado River: 2016 Desert Symposium Field Guide and Proceedings","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceDate":"April 2016","language":"English","publisher":"California State University Desert Studies Center","usgsCitation":"Adams, P.M., Lynch, D.K., and Buesch, D.C., 2016, Accretionary lapilli: what’s holding them together?, in Going LOCO: Investigations along the Lower Colorado River: 2016 Desert Symposium Field Guide and Proceedings, April 2016, p. 256-265.","productDescription":"10 p.","startPage":"256","endPage":"265","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-072848","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":325226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325208,"type":{"id":15,"text":"Index Page"},"url":"https://www.desertsymposium.org/About.html"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5787662ce4b0d27deb36e173","contributors":{"authors":[{"text":"Adams, Paul M.","contributorId":172886,"corporation":false,"usgs":false,"family":"Adams","given":"Paul","email":"","middleInitial":"M.","affiliations":[{"id":27112,"text":"Thule Scientific, P.O. Box 953, Topanga, CA 90290 USA","active":true,"usgs":false}],"preferred":false,"id":642414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, David K.","contributorId":88600,"corporation":false,"usgs":true,"family":"Lynch","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":642415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buesch, David C. 0000-0002-4978-5027 dbuesch@usgs.gov","orcid":"https://orcid.org/0000-0002-4978-5027","contributorId":1154,"corporation":false,"usgs":true,"family":"Buesch","given":"David","email":"dbuesch@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":642413,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70174036,"text":"70174036 - 2016 - Simulated effect of topography and soil properties on hydrologic response and landslide potential under variable rainfall conditions in the Oregon Coast Range, USA","interactions":[],"lastModifiedDate":"2016-09-08T11:41:15","indexId":"70174036","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Simulated effect of topography and soil properties on hydrologic response and landslide potential under variable rainfall conditions in the Oregon Coast Range, USA","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Landslides and engineered slopes. Experience, theory and practice Proceedings of the 12th International Symposium on Landslides","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"12th International Symposium on Landslides","conferenceDate":"June 12-19, 2016","conferenceLocation":"Napoli, Italy","language":"English","publisher":"Associazione Geotecnica Italiana","publisherLocation":"Rome, Italy","doi":"10.1201/b21520-176","usgsCitation":"Mirus, B.B., Smith, J.B., Godt, J.W., Baum, R., and Coe, J.A., 2016, Simulated effect of topography and soil properties on hydrologic response and landslide potential under variable rainfall conditions in the Oregon Coast Range, USA, in Landslides and engineered slopes. Experience, theory and practice Proceedings of the 12th International Symposium on Landslides, Napoli, Italy, June 12-19, 2016, p. 1431-1439, https://doi.org/10.1201/b21520-176.","productDescription":"9 p.","startPage":"1431","endPage":"1439","ipdsId":"IP-072370","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":328365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-09","publicationStatus":"PW","scienceBaseUri":"57d28bafe4b0571647d0f944","contributors":{"authors":[{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":640600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":640601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":640602,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baum, R.L.","contributorId":68752,"corporation":false,"usgs":true,"family":"Baum","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":648391,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":640603,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70177065,"text":"70177065 - 2016 - Earthquake geology and paleoseismology of major strands of the San Andreas fault system","interactions":[],"lastModifiedDate":"2020-08-27T15:38:55.329211","indexId":"70177065","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"38","title":"Earthquake geology and paleoseismology of major strands of the San Andreas fault system","docAbstract":"The San Andreas fault system in California is one of the best-studied faults in the world, both in terms of the long-term geologic history and paleoseismic study of past surface ruptures. In this paper, we focus on the Quaternary to historic data that have been collected from the major strands of the San Andreas fault system, both on the San Andreas Fault itself, and the major subparallel strands that comprise the plate boundary, including the Calaveras-Hayward- Rogers Creek-Maacama fault zone and the Concord-Green Valley-Bartlett Springs fault zone in northern California, and the San Jacinto and Elsinore faults in southern California. The majority of the relative motion between the Pacific and North American lithospheric plates is accommodated by these faults, with the San Andreas slipping at about 34 mm/yr in central California, decreasing to about 20 mm/yr in northern California north of its juncture with the Calaveras and Concord faults. The Calaveras-Hayward-Rogers Creek-Maacama fault zone exhibits a slip rate of 10-15 mm/yr, whereas the rate along the Concord-Green Valley-Bartlett Springs fault zone is lower at about 5 mm/yr. In southern California, the San Andreas exhibits a slip rate of about 35 mm/yr along the Mojave section, decreasing to as low as 10-15 mm/yr along its juncture with the San Jacinto fault, and about 20 mm/yr in the Coachella Valley. The San Jacinto and Elsinore fault zones exhibit rates of about 15 and 5 mm/yr, respectively. The average recurrence interval for surface-rupturing earthquakes along individual elements of the San Andreas fault system range from 100-500 years and is consistent with slip rate at those sites: higher slip rates produce more frequent or larger earthquakes. There is also evidence of short-term variations in strain release (slip rate) along various fault sections, as expressed as “flurries” or clusters of earthquakes as well as periods of relatively fewer surface ruptures in these relatively short records. This is reflected by non-periodic coefficients of variation in earthquake recurrence of 0.4 to 0.7 for the various paleoseismic sites.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Applied geology in California","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Star Publishing","usgsCitation":"Rockwell, T., Scharer, K.M., and Dawson, T.E., 2016, Earthquake geology and paleoseismology of major strands of the San Andreas fault system, chap. 38 of Applied geology in California, v. 26, p. 721-756.","productDescription":"36 p.","startPage":"721","endPage":"756","ipdsId":"IP-055460","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":330875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":330874,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.appliedgeologybook.com/"}],"country":"United States","state":"California","otherGeospatial":"San Andreas fault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.1572265625,\n 32.65787573695528\n ],\n [\n -115.20263671874999,\n 32.65787573695528\n ],\n [\n -115.20263671874999,\n 35.55010533588552\n ],\n [\n -121.1572265625,\n 35.55010533588552\n ],\n [\n -121.1572265625,\n 32.65787573695528\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5822f23ae4b0ef3123a97021","contributors":{"authors":[{"text":"Rockwell, Thomas","contributorId":175454,"corporation":false,"usgs":false,"family":"Rockwell","given":"Thomas","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":651197,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scharer, Katherine M. 0000-0003-2811-2496 kscharer@usgs.gov","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":3385,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine","email":"kscharer@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":651195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dawson, Timothy E.","contributorId":24429,"corporation":false,"usgs":false,"family":"Dawson","given":"Timothy","email":"","middleInitial":"E.","affiliations":[{"id":7099,"text":"Calif. Geol. Survey","active":true,"usgs":false}],"preferred":false,"id":651196,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70184483,"text":"70184483 - 2016 - Rapid response, monitoring, and mitigation of induced seismicity near Greeley, Colorado","interactions":[],"lastModifiedDate":"2017-03-10T10:24:35","indexId":"70184483","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Rapid response, monitoring, and mitigation of induced seismicity near Greeley, Colorado","docAbstract":"On 1 June 2014 (03:35 UTC), an Mw 3.2 earthquake occurred in Weld County, Colorado, a historically aseismic area of the Denver–Julesburg basin. Weld County is a prominent area of oil and gas development, including many high‐rate class II wastewater injection wells. In the days following the earthquake, the University of Colorado, with support from the U.S. Geological Survey and Incorporated Research Institutions for Seismology–Portable Array Seismic Studies of the Continental Lithosphere, rapidly deployed six seismic stations to characterize the seismicity associated with the 1 June earthquake (the Greeley sequence) and to investigate its possible connection to wastewater disposal. The spatial and temporal proximity of earthquakes to a high‐rate wastewater disposal well strongly suggests these earthquakes were induced. Scientific communication between the university, state agencies, and the energy industry led to rapid mitigation strategies to reduce the occurrence of further earthquakes. Mitigation efforts included implementing a temporary moratorium on injection at the well, cementing the bottom portion of the disposal well to minimize hydrologic connectivity between the disposal formation and the underlying crystalline basement, and subsequently allowing injection to resume at lower rates. Following the resumption of wastewater disposal, microseismicity was closely monitored for both increases in earthquake rate and magnitude. Following mitigation efforts, between 13 August 2014 and 29 December 2015, no earthquakes larger than M 1.5 occurred near the Greeley sequence. This study demonstrates that a detailed and rapid characterization of a seismic sequence in space and time relative to disposal, combined with collaboration and communication between scientists, regulators, and industry, can lead to objective and actionable mitigation efforts that potentially reduced the rate of earthquakes and the possible generation of larger earthquakes.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220150275","usgsCitation":"Yeck, W.L., Sheehan, A., Benz, H.M., Weingarten, M., and Nakai, J., 2016, Rapid response, monitoring, and mitigation of induced seismicity near Greeley, Colorado: Seismological Research Letters, v. 87, no. 4, p. 837-847, https://doi.org/10.1785/0220150275.","productDescription":"11 p.","startPage":"837","endPage":"847","ipdsId":"IP-074049","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":337301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Greeley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.82536315917967,\n 40.35596325640413\n ],\n [\n -104.47792053222656,\n 40.35596325640413\n ],\n [\n -104.47792053222656,\n 40.531545551348394\n ],\n [\n -104.82536315917967,\n 40.531545551348394\n ],\n [\n -104.82536315917967,\n 40.35596325640413\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"87","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-15","publicationStatus":"PW","scienceBaseUri":"58c3c93de4b0f37a93ee9b0b","contributors":{"authors":[{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":681664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sheehan, A.F","contributorId":187782,"corporation":false,"usgs":false,"family":"Sheehan","given":"A.F","email":"","affiliations":[],"preferred":false,"id":681665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":681666,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weingarten, Matthew","contributorId":138656,"corporation":false,"usgs":false,"family":"Weingarten","given":"Matthew","email":"","affiliations":[{"id":12481,"text":"Department of Geological Sciences, University of Colorado, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":681667,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nakai, Jenny","contributorId":187783,"corporation":false,"usgs":true,"family":"Nakai","given":"Jenny","affiliations":[],"preferred":true,"id":681668,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70184431,"text":"70184431 - 2016 - Tracking the timing of subduction and exhumation using 40Ar/39Ar phengite ages in blueschist- and eclogite-facies rocks (Sivrihisar, Turkey)","interactions":[],"lastModifiedDate":"2017-03-09T11:51:21","indexId":"70184431","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1336,"text":"Contributions to Mineralogy and Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Tracking the timing of subduction and exhumation using 40Ar/39Ar phengite ages in blueschist- and eclogite-facies rocks (Sivrihisar, Turkey)","docAbstract":"Geochronologic studies of high-pressure/low-temperature rocks can be used to determine the timing and rates of burial and exhumation in subduction zones by dating different stages of the pressure–temperature history. In this study, we present new in situ UV laser ablation 40Ar/39Ar phengite ages from a suite of lawsonite blueschist- and eclogite-facies rocks representing different protoliths (metabasalt, metasediment), different structural levels (within and outside of a high-strain zone), and different textural positions (eclogite pod core vs. margin) to understand the timing of these events in an exhumed Neo-Tethyan subduction zone (Sivrihisar Massif, Tavşanlı Zone, Turkey). Weighted mean in situ 40Ar/39Ar ages of phengite from the cores of lawsonite eclogite pods (90–93 Ma) are distinctly older than phengite from retrogressed, epidote eclogite (82 ± 2 Ma). These ages are interpreted as the age of peak and retrograde metamorphism, respectively. Eclogite records the narrowest range of ages (10–14 m.y.) of any rock type analyzed. Transitional eclogite- and blueschist-facies assemblages and glaucophane-rimmed lawsonite + garnet + phengite veins from eclogite pod margins record a much wider age range of 40Ar/39Ar ages (~20 m.y.) with weighted mean ages of ~91 Ma. Blueschists and quartzites record more variable 40Ar/39Ar ages that may in part be related to structural position: samples within a high-strain zone at the tectonic contact of the HP rocks with a meta-ultramafic unit have in situ UV laser ablation 40Ar/39Ar ages of 84.0 ± 1.3–103.7 ± 3.1 Ma, whereas samples outside this zone range to older ages (84.6 ± 2.4–116.7 ± 2.7 Ma) and record a greater age range (22–38 m.y.). The phengite ages can be correlated with the preservation of HP mineral assemblages and fabrics as well as the effects of deformation. Collectively, these results show that high-spatial resolution UV laser ablation 40Ar/39Ar phengite data, when considered in a petrologic and structural context, may document prograde (burial) and retrograde (exhumation) stages of subduction metamorphism.
","language":"English","publisher":"Springer","doi":"10.1007/s00410-016-1268-2","usgsCitation":"Fornash, K.F., Cosca, M.A., and Whitney, D.L., 2016, Tracking the timing of subduction and exhumation using 40Ar/39Ar phengite ages in blueschist- and eclogite-facies rocks (Sivrihisar, Turkey): Contributions to Mineralogy and Petrology, v. 171, p. 1-37, https://doi.org/10.1007/s00410-016-1268-2.","productDescription":"Article 67; 37 p.","startPage":"1","endPage":"37","ipdsId":"IP-064152","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":337173,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Turkey","volume":"171","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-11","publicationStatus":"PW","scienceBaseUri":"58c277dce4b014cc3a3e76d5","contributors":{"authors":[{"text":"Fornash, Katherine F.","contributorId":187714,"corporation":false,"usgs":false,"family":"Fornash","given":"Katherine","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":681461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cosca, Michael A. 0000-0002-0600-7663 mcosca@usgs.gov","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":1000,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","email":"mcosca@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":681460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whitney, Donna L.","contributorId":187715,"corporation":false,"usgs":false,"family":"Whitney","given":"Donna","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":681462,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70184220,"text":"70184220 - 2016 - A resilience approach can improve anadromous fish restoration","interactions":[],"lastModifiedDate":"2018-02-28T14:38:30","indexId":"70184220","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"A resilience approach can improve anadromous fish restoration","docAbstract":"Most anadromous fish populations remain at low levels or are in decline despite substantial investments in restoration. We explore whether a resilience perspective (i.e., a different paradigm for understanding populations, communities, and ecosystems) is a viable alternative framework for anadromous fish restoration. Many life history traits have allowed anadromous fish to thrive in unimpacted ecosystems but have become contemporary curses as anthropogenic effects increase. This contradiction creates a significant conservation challenge but also makes these fish excellent candidates for a resilience approach. A resilience approach recognizes the need to maintain life history, population, and habitat characteristics that increase the ability of a population to withstand and recover from multiple disturbances. To evaluate whether a resilience approach represents a viable strategy for anadromous fish restoration, we review four issues: (1) how resilience theory can inform anadromous fish restoration, (2) how a resilience-based approach is fundamentally different than extant anadromous fish restoration strategies, (3) ecological characteristics that historically benefited anadromous fish persistence, and (4) examples of how human impacts harm anadromous fish and how a resilience approach might produce more successful outcomes. We close by suggesting new research and restoration directions for implementation of a resilience-based approach.
","language":"English","publisher":"Taylor and Francis","doi":"10.1080/03632415.2015.1134501","usgsCitation":"Waldman, J.R., Wilson, K.A., Mather, M.E., and Snyder, N., 2016, A resilience approach can improve anadromous fish restoration: Fisheries, v. 41, no. 3, p. 116-126, https://doi.org/10.1080/03632415.2015.1134501.","productDescription":"11 p.","startPage":"116","endPage":"126","ipdsId":"IP-056024","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":336868,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-24","publicationStatus":"PW","scienceBaseUri":"58be8338e4b014cc3a3a99df","contributors":{"authors":[{"text":"Waldman, John R.","contributorId":46905,"corporation":false,"usgs":true,"family":"Waldman","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":680787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Karen A.","contributorId":187540,"corporation":false,"usgs":false,"family":"Wilson","given":"Karen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":680788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":680602,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Snyder, Noah P.","contributorId":43848,"corporation":false,"usgs":true,"family":"Snyder","given":"Noah P.","affiliations":[],"preferred":false,"id":680789,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70184452,"text":"70184452 - 2016 - Comparison of methods to monitor the distribution and impacts of unauthorized travel routes in a border park","interactions":[],"lastModifiedDate":"2017-03-09T11:27:50","indexId":"70184452","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2821,"text":"Natural Areas Journal","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of methods to monitor the distribution and impacts of unauthorized travel routes in a border park","docAbstract":"The distribution and abundance of human-caused disturbances vary greatly through space and time and are cause for concern among land stewards in natural areas of the southwestern border-lands between the USA and Mexico. Human migration and border protection along the international boundary create Unauthorized Trail and Road (UTR) networks across National Park Service lands and other natural areas. UTRs may cause soil erosion and compaction, damage to vegetation and cultural resources, and may stress wildlife or impede their movements. We quantify the density and severity of UTR disturbances in relation to soils, and compare the use of previously established targeted trail assessments (hereafter — targeted assessments) against randomly placed transects to detect trail densities at Coronado National Memorial in Arizona in 2011. While trail distributions were similar between methods, targeted assessments estimated a large portion of the park to have the lowest density category (0–5 trail encounters per/km2), whereas the random transects in 2011 estimated more of the park as having the higher density categories (e.g., 15–20 encounters per km2category). Soil vulnerability categories that were assigned, a priori, based on published soil texture and composition did not accurately predict the impact of UTRs on soil, indicating that empirical methods may be better suited for identifying severity of compaction. While the estimates of UTR encounter frequencies were greater using the random transects than the targeted assessments for a relatively short period of time, it is difficult to determine whether this difference is dependent on greater cross-border activity, differences in technique, or from confounding environmental factors. Future surveys using standardized sampling techniques would increase accuracy.
","language":"English","publisher":"Natural Areas Association","doi":"10.3375/043.036.0305","usgsCitation":"Esque, T., Inman, R.D., Nussear, K.E., Webb, R., Girard, M., and DeGayner, J., 2016, Comparison of methods to monitor the distribution and impacts of unauthorized travel routes in a border park: Natural Areas Journal, v. 36, no. 3, p. 248-258, https://doi.org/10.3375/043.036.0305.","productDescription":"11 p.","startPage":"248","endPage":"258","ipdsId":"IP-041641","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":337165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","county":"Cochise County","otherGeospatial":"Coronado National Memorial","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.29037475585936,\n 31.333551415222512\n ],\n [\n -110.22308349609375,\n 31.333551415222512\n ],\n [\n -110.22308349609375,\n 31.36829520164191\n ],\n [\n -110.29037475585936,\n 31.36829520164191\n ],\n [\n -110.29037475585936,\n 31.333551415222512\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c277dbe4b014cc3a3e76d1","contributors":{"authors":[{"text":"Esque, Todd C. 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":168763,"corporation":false,"usgs":true,"family":"Esque","given":"Todd C.","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":681585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Inman, Richard D. 0000-0002-1982-7791 rdinman@usgs.gov","orcid":"https://orcid.org/0000-0002-1982-7791","contributorId":187754,"corporation":false,"usgs":true,"family":"Inman","given":"Richard","email":"rdinman@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":681583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nussear, Kenneth E. knussear@usgs.gov","contributorId":2695,"corporation":false,"usgs":true,"family":"Nussear","given":"Kenneth","email":"knussear@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":681582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Webb, Robert rhwebb@usgs.gov","contributorId":187755,"corporation":false,"usgs":true,"family":"Webb","given":"Robert","email":"rhwebb@usgs.gov","affiliations":[],"preferred":true,"id":681584,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Girard, M.M.","contributorId":187757,"corporation":false,"usgs":false,"family":"Girard","given":"M.M.","email":"","affiliations":[],"preferred":false,"id":681587,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeGayner, J.","contributorId":187756,"corporation":false,"usgs":false,"family":"DeGayner","given":"J.","email":"","affiliations":[],"preferred":false,"id":681586,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70184453,"text":"70184453 - 2016 - Design and testing of a mesocosm-scale habitat for culturing the endangered Devils Hole Pupfish","interactions":[],"lastModifiedDate":"2017-03-09T11:24:19","indexId":"70184453","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Design and testing of a mesocosm-scale habitat for culturing the endangered Devils Hole Pupfish","docAbstract":"aptive propagation of desert spring fishes, whether for conservation or research, is often difficult, given the unique and often challenging environments these fish utilize in nature. High temperatures, low dissolved oxygen, minimal water flow, and highly variable lighting are some conditions a researcher might need to recreate to simulate their natural environments. Here we describe a mesocosm-scale habitat created to maintain hybrid Devils Hole × Ash Meadows Amargosa Pupfish (Cyprinodon diabolis × C. nevadensis mionectes) under conditions similar to those found in Devils Hole, Nevada. This 13,000-L system utilized flow control and natural processes to maintain these conditions rather than utilizing complex and expensive automation. We designed a rotating solar collector to control natural sunlight, a biological reactor to consume oxygen while buffering water quality, and a reverse-daylight photosynthesis sump system to stabilize nighttime pH and swings in dissolved oxygen levels. This system successfully controlled many desired parameters and helped inform development of a larger, more permanent desert fish conservation facility at the U.S. Fish and Wildlife Service’s Ash Meadows National Wildlife Refuge, Nevada. For others who need to raise fish from unique habitats, many components of the scalable and modular design of this system can be adapted at reasonable cost.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15222055.2016.1159626","usgsCitation":"Feuerbacher, O., Bonar, S.A., and Barrett, P.J., 2016, Design and testing of a mesocosm-scale habitat for culturing the endangered Devils Hole Pupfish: North American Journal of Aquaculture, v. 78, no. 3, p. 259-269, https://doi.org/10.1080/15222055.2016.1159626.","productDescription":"11 p.","startPage":"259","endPage":"269","ipdsId":"IP-076020","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":337163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-22","publicationStatus":"PW","scienceBaseUri":"58c277dbe4b014cc3a3e76cf","contributors":{"authors":[{"text":"Feuerbacher, Olin","contributorId":187760,"corporation":false,"usgs":false,"family":"Feuerbacher","given":"Olin","affiliations":[],"preferred":false,"id":681593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":681588,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barrett, Paul J.","contributorId":187761,"corporation":false,"usgs":false,"family":"Barrett","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":681594,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70184454,"text":"70184454 - 2016 - Reply to “Comment on ‘Ground motions from the 2015 Mw 7.8 Gorkha, Nepal, earthquake constrained by a detailed assessment of macroseismic data’ by Stacey S. Martin, Susan E. Hough, and Charleen Hung” by Andrea Tertulliani, Laura Graziani, Corrado Castellano, Alessandra Maramai, and Antonio Rossi","interactions":[],"lastModifiedDate":"2017-03-09T11:20:10","indexId":"70184454","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Reply to “Comment on ‘Ground motions from the 2015 Mw 7.8 Gorkha, Nepal, earthquake constrained by a detailed assessment of macroseismic data’ by Stacey S. Martin, Susan E. Hough, and Charleen Hung” by Andrea Tertulliani, Laura Graziani, Corrado Castellano, Alessandra Maramai, and Antonio Rossi","docAbstract":"We thank Andrea Tertulliani and his colleagues for their interest in our article on the 2015 Gorkha earthquake (Martin, Hough, et al., 2015), and for their comments pertaining to our study (Tertulliani et al., 2016). Indeed, as they note, a comprehensive assessment of macroseismic effects for an earthquake with far‐reaching effects as that of Gorkha is not only critically important but is also an extremely difficult undertaking. In the absence of a widely known web‐based system, employing a well‐calibrated algorithm with which to collect and systematically assess macroseismic information (e.g., Wald et al., 1999; Coppola et al., 2010; Bossu et al., 2015) in the Indian subcontinent, one is left with two approaches to characterize effects of an event such as the Gorkha earthquake: a comprehensive ground‐based survey such as the one undertaken in India following the 2001 Bhuj earthquake (Pande and Kayal, 2003), or an assessment such as Martin, Hough, et al. (2015) akin to other contemporary studies (e.g., Nuttli, 1973; Sieh, 1978; Meltzner and Wald, 1998; Martin and Szeliga, 2010; Ambraseys and Bilham, 2012; Mahajan et al., 2012; Gupta et al., 2013; Singh et al., 2013; Hough and Martin, 2015; Martin and Hough, 2015; Martin, Bradley, et al., 2015; Ribeiro et al., 2015), based primarily upon media reports and other available documentary accounts.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160061","usgsCitation":"Martin, S.S., and Hough, S.E., 2016, Reply to “Comment on ‘Ground motions from the 2015 Mw 7.8 Gorkha, Nepal, earthquake constrained by a detailed assessment of macroseismic data’ by Stacey S. Martin, Susan E. Hough, and Charleen Hung” by Andrea Tertulliani, Laura Graziani, Corrado Castellano, Alessandra Maramai, and Antonio Rossi: Seismological Research Letters, v. 87, no. 4, p. 957-962, https://doi.org/10.1785/0220160061.","productDescription":"6 p.","startPage":"957","endPage":"962","ipdsId":"IP-074139","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":337161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-08","publicationStatus":"PW","scienceBaseUri":"58c277dbe4b014cc3a3e76cd","contributors":{"authors":[{"text":"Martin, Stacey S.","contributorId":187758,"corporation":false,"usgs":false,"family":"Martin","given":"Stacey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":681590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":681589,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70187277,"text":"70187277 - 2016 - Diet breadth and variability in Sander spp. inferred from stable isotopes","interactions":[],"lastModifiedDate":"2017-04-27T11:21:04","indexId":"70187277","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Diet breadth and variability in Sander spp. inferred from stable isotopes","docAbstract":"We used stable isotopes of carbon and nitrogen to evaluate trophic similarity between sauger Sander canadensis and walleye S. vitreus in three Missouri River impoundments characterized by unique differences in riverine habitat. Mean δ15N was similar for sauger and walleye in each reservoir ranging from 15.7 to 17.8‰ for sauger and 15.2 to 17.7‰ for walleye. However, mean δ13C was greater for sauger (−24‰) than for walleye (−25‰) in Lake Oahe (lacustrine habitat), where rainbow smelt Osmerus mordax is an important prey species for walleye. Variation in δ15N and δ13C values was similar between walleye and sauger in Lewis and Clark Lake (riverine habitat), but was greater for sauger than for walleye in Lake Oahe, implying that in pelagic environments, sauger exhibit a larger diet breadth and lower diet consistency compared with walleyes. Isotope analyses support observations from traditional gut content studies that diet overlap between sauger and walleye varies with environmental conditions and is more similar in riverine food webs than in large lakes and impoundments.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.2916","usgsCitation":"Fincel, M., Chipps, S.R., Graeb, B.D., and Brown, M.L., 2016, Diet breadth and variability in Sander spp. inferred from stable isotopes: River Research and Applications, v. 32, no. 5, p. 984-991, https://doi.org/10.1002/rra.2916.","productDescription":"8 p.","startPage":"984","endPage":"991","ipdsId":"IP-064669","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59030325e4b0e862d230f721","contributors":{"authors":[{"text":"Fincel, M.J.","contributorId":88979,"corporation":false,"usgs":true,"family":"Fincel","given":"M.J.","affiliations":[],"preferred":false,"id":693191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693185,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graeb, B. D. S.","contributorId":80916,"corporation":false,"usgs":true,"family":"Graeb","given":"B.","email":"","middleInitial":"D. S.","affiliations":[],"preferred":false,"id":693192,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, M. L.","contributorId":96063,"corporation":false,"usgs":true,"family":"Brown","given":"M.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":693193,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70182781,"text":"70182781 - 2016 - The statistical power to detect cross-scale interactions at macroscales","interactions":[],"lastModifiedDate":"2017-03-01T12:46:23","indexId":"70182781","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"The statistical power to detect cross-scale interactions at macroscales","docAbstract":"Macroscale studies of ecological phenomena are increasingly common because stressors such as climate and land-use change operate at large spatial and temporal scales. Cross-scale interactions (CSIs), where ecological processes operating at one spatial or temporal scale interact with processes operating at another scale, have been documented in a variety of ecosystems and contribute to complex system dynamics. However, studies investigating CSIs are often dependent on compiling multiple data sets from different sources to create multithematic, multiscaled data sets, which results in structurally complex, and sometimes incomplete data sets. The statistical power to detect CSIs needs to be evaluated because of their importance and the challenge of quantifying CSIs using data sets with complex structures and missing observations. We studied this problem using a spatially hierarchical model that measures CSIs between regional agriculture and its effects on the relationship between lake nutrients and lake productivity. We used an existing large multithematic, multiscaled database, LAke multiscaled GeOSpatial, and temporal database (LAGOS), to parameterize the power analysis simulations. We found that the power to detect CSIs was more strongly related to the number of regions in the study rather than the number of lakes nested within each region. CSI power analyses will not only help ecologists design large-scale studies aimed at detecting CSIs, but will also focus attention on CSI effect sizes and the degree to which they are ecologically relevant and detectable with large data sets.
","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.1417","usgsCitation":"Wagner, T., Fergus, C.E., Stow, C., Cheruvelil, K.S., and Soranno, P.A., 2016, The statistical power to detect cross-scale interactions at macroscales: Ecosphere, v. 7, no. 7, HTML document , https://doi.org/10.1002/ecs2.1417.","productDescription":"HTML document ","ipdsId":"IP-071692","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470783,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1417","text":"Publisher Index Page"},{"id":336753,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-28","publicationStatus":"PW","scienceBaseUri":"58b7eba8e4b01ccd5500bb1b","contributors":{"authors":[{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":673735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fergus, C. Emi","contributorId":150608,"corporation":false,"usgs":false,"family":"Fergus","given":"C.","email":"","middleInitial":"Emi","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":680427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stow, Craig A.","contributorId":49733,"corporation":false,"usgs":true,"family":"Stow","given":"Craig A.","affiliations":[],"preferred":false,"id":680428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheruvelil, Kendra S.","contributorId":172029,"corporation":false,"usgs":false,"family":"Cheruvelil","given":"Kendra","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":680429,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soranno, Patricia A.","contributorId":172104,"corporation":false,"usgs":false,"family":"Soranno","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":680430,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70182762,"text":"70182762 - 2016 - Automated mapping of persistent ice and snow cover across the western U.S. with Landsat","interactions":[],"lastModifiedDate":"2017-02-28T11:15:56","indexId":"70182762","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Automated mapping of persistent ice and snow cover across the western U.S. with Landsat","docAbstract":"We implemented an automated approach for mapping persistent ice and snow cover (PISC) across the conterminous western U.S. using all available Landsat TM and ETM+ scenes acquired during the late summer/early fall period between 2010 and 2014. Two separate validation approaches indicate this dataset provides a more accurate representation of glacial ice and perennial snow cover for the region than either the U.S. glacier database derived from US Geological Survey (USGS) Digital Raster Graphics (DRG) maps (based on aerial photography primarily from the 1960s–1980s) or the National Land Cover Database 2011 perennial ice and snow cover class. Our 2010–2014 Landsat-derived dataset indicates 28% less glacier and perennial snow cover than the USGS DRG dataset. There are larger differences between the datasets in some regions, such as the Rocky Mountains of Northwest Wyoming and Southwest Montana, where the Landsat dataset indicates 54% less PISC area. Analysis of Landsat scenes from 1987–1988 and 2008–2010 for three regions using a more conventional, semi-automated approach indicates substantial decreases in glaciers and perennial snow cover that correlate with differences between PISC mapped by the USGS DRG dataset and the automated Landsat-derived dataset. This suggests that most of the differences in PISC between the USGS DRG and the Landsat-derived dataset can be attributed to decreases in PISC, as opposed to differences between mapping techniques. While the dataset produced by the automated Landsat mapping approach is not designed to serve as a conventional glacier inventory that provides glacier outlines and attribute information, it allows for an updated estimate of PISC for the conterminous U.S. as well as for smaller regions. Additionally, the new dataset highlights areas where decreases in PISC have been most significant over the past 25–50 years.