{"pageNumber":"727","pageRowStart":"18150","pageSize":"25","recordCount":184553,"records":[{"id":70203316,"text":"70203316 - 2019 - Real-time monitoring of debris-flow velocity and mass deformation from field experiments with high sample rate lidar and video","interactions":[],"lastModifiedDate":"2021-12-23T16:27:36.508113","indexId":"70203316","displayToPublicDate":"2019-06-15T12:41:39","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Real-time monitoring of debris-flow velocity and mass deformation from field experiments with high sample rate lidar and video","docAbstract":"Debris flows evolve in both time and space in complex ways, commonly starting as coherent failures but then quickly developing structures such as roll waves and surges. This process is readily observed, but difficult to study or quantify because of the speed at which it occurs. Many methods for studying debris flows consist of point measurements (e.g., of flow height or basal stresses), which are inherently limited in spatial coverage and fail to fully capture the spatiotemporal evolution of a flow. In this study, we use a terrestrial lidar to measure debris-flow profiles at high sample rates to examine debris-flow movement with high temporal and spatial precision and accuracy. We acquired measurements during gate-release experiments at the USGS debris flume, a unique experimental facility where debris flows can be simulated at a large scale. In this study, the laser scanner was placed at the bottom of the steep flume and recorded topography of the entire flume bed and debris flow at a rate of 60 Hz along a very narrow profile (~1mm in width), providing a detailed, two-dimensional cross-section of the debris flow through time. The high-resolution profiles enable us to quantify flow front and surge velocities of the debris flow and provide an unprecedented record of the development and evolution of the flow structure over time. The profiles also preserve a record of the highly variable deposition pattern of the debris flow on a downstream fan with a time resolution of hundredths of a second. In addition, video imagery from the experiment was used to track debris flow movement through time. By acquiring high-resolution topographic data and video imagery during a controlled experiment, we have been able to obtain unusually complete quantitative measurements of debris-flow movement. Such measurements may help constrain future modeling efforts.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Debris-flow hazards mitigation : mechanics, monitoring, modeling, and assessment ; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Seventh International Conference on Debris-Flow Hazards Mitigation","conferenceDate":"June 10-13, 2019","conferenceLocation":"Golden, CO","language":"English","publisher":"Mountain Scholar","doi":"10.25676/11124/173219","usgsCitation":"Rengers, F.K., Rapstine, T., Allstadt, K.E., Olsen, M., Bunn, M., Iverson, R.M., Kean, J.W., Leshchinsky, B., Logan, M., Sharifi-Mood, M., Obryk, M., and Smith, J.B., 2019, Real-time monitoring of debris-flow velocity and mass deformation from field experiments with high sample rate lidar and video, in Debris-flow hazards mitigation : mechanics, monitoring, modeling, and assessment ; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation, v. 7, Golden, CO, June 10-13, 2019, p. 192-198, https://doi.org/10.25676/11124/173219.","productDescription":"7 p.","startPage":"192","endPage":"198","ipdsId":"IP-105628","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":365022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rengers, Francis K. 0000-0002-1825-0943 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Ben","contributorId":215350,"corporation":false,"usgs":false,"family":"Leshchinsky","given":"Ben","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":762112,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Logan, Matthew 0000-0002-3558-2405 mlogan@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-2405","contributorId":638,"corporation":false,"usgs":true,"family":"Logan","given":"Matthew","email":"mlogan@usgs.gov","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":762113,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sharifi-Mood, Mahyar","contributorId":215351,"corporation":false,"usgs":false,"family":"Sharifi-Mood","given":"Mahyar","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":762114,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Obryk, Maciej K. 0000-0002-8182-8656","orcid":"https://orcid.org/0000-0002-8182-8656","contributorId":203477,"corporation":false,"usgs":true,"family":"Obryk","given":"Maciej","middleInitial":"K.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":762115,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"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":762116,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70203317,"text":"70203317 - 2019 - Looking through the window of disturbance at post-wildfire debris-flow hazards","interactions":[],"lastModifiedDate":"2019-06-25T12:25:35","indexId":"70203317","displayToPublicDate":"2019-06-15T12:00:23","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Looking through the window of disturbance at post-wildfire debris-flow hazards","docAbstract":"The extreme heat from wildfire alters soil properties and incinerates vegetation, leading to changes in infiltration capacity, ground cover, soil erodibility, and rainfall interception. These changes promote increases in runoff and sediment transport that increase the likelihood of runoff-generated debris flows. Over a period of several years, referred to as the window of disturbance, the landscape recovers and wildfire-induced changes become less accentuated. Debris flows are most common in the year immediately following wildfire, but changes in the likelihood and magnitude of debris flows throughout the window of disturbance are not well constrained. Assessing debris-flow hazards throughout the post-wildfire recovery period is complicated, in part, by the myriad of wildfire-induced changes and their nonlinear relationships with sediment transport and runoff generation processes. In this study, we combine measurements of soil hydraulic properties with vegetation survey data and numerical modeling to understand how debris-flow threats are likely to change in steep, burned basins during the first two years of recovery. We focus on documenting recovery following the 2016 Fish Fire in the San Gabriel Mountains, CA, USA and demonstrate how a numerical model can be used to predict temporal changes in debris-flow properties and initiation thresholds within that region. Substantial increases in sorptivity, which represents the capillarity contribution to infiltration, and reductions in the percentage of bare soil occurred during the first 18 months following the Fish Fire. Numerical modeling suggests that these changes lead to a roughly 40% increase in the 15-minute rainfall intensity-duration threshold associated with debris-flow initiation as well as more than a three-fold decrease in debris-flow volume from post-fire year 1 to post-fire year 2. These results provide valuable constraints on changes in debris-flow thresholds within the San Gabriel Mountains as well as a general framework for exploring the impact of changing vegetation and soil hydraulic properties on debris-flow magnitude and susceptibility.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Debris-flow hazards mitigation : mechanics, monitoring, modeling, and assessment ; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Seventh International Conference on Debris-Flow Hazards Mitigation","conferenceDate":"June 10-13, 2019","conferenceLocation":"Golden, CO","language":"English","publisher":"Mountain Scholar","usgsCitation":"McGuire, L., Rengers, F.K., Kean, J.W., Staley, D.M., Tang, H., and Youberg, A., 2019, Looking through the window of disturbance at post-wildfire debris-flow hazards, in Debris-flow hazards mitigation : mechanics, monitoring, modeling, and assessment ; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation, v. 7, Golden, CO, June 10-13, 2019, p. 516-523.","productDescription":"8 p.","startPage":"516","endPage":"523","ipdsId":"IP-105875","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":365019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365018,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/11124/173051"}],"country":"United States","state":"California","otherGeospatial":"San Gabriel Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.93067932128905,\n 34.14619208917145\n ],\n [\n -117.88415908813475,\n 34.14619208917145\n ],\n [\n -117.88415908813475,\n 34.178009402927835\n ],\n [\n -117.93067932128905,\n 34.178009402927835\n ],\n [\n -117.93067932128905,\n 34.14619208917145\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.31794738769531,\n 34.18851784459001\n ],\n [\n -117.92861938476562,\n 34.18851784459001\n ],\n [\n -117.92861938476562,\n 34.40804267622734\n ],\n [\n -118.31794738769531,\n 34.40804267622734\n ],\n [\n -118.31794738769531,\n 34.18851784459001\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McGuire, Luke","contributorId":197027,"corporation":false,"usgs":false,"family":"McGuire","given":"Luke","affiliations":[],"preferred":false,"id":762118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762120,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tang, Hui","contributorId":215352,"corporation":false,"usgs":false,"family":"Tang","given":"Hui","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":762121,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Youberg, Ann 0000-0002-2005-3674","orcid":"https://orcid.org/0000-0002-2005-3674","contributorId":172400,"corporation":false,"usgs":false,"family":"Youberg","given":"Ann","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":762122,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203318,"text":"70203318 - 2019 - Topographic change detection at Chalk Cliffs, Colorado, USA, using Airborne LiDAR and UAS-based Structure-from-Motion photogrammetry","interactions":[],"lastModifiedDate":"2019-06-25T12:08:13","indexId":"70203318","displayToPublicDate":"2019-06-15T11:55:57","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Topographic change detection at Chalk Cliffs, Colorado, USA, using Airborne LiDAR and UAS-based Structure-from-Motion photogrammetry","docAbstract":"The Chalk Cliffs debris-flow site is a small headwater catchment incised into highly fractured and hydrothermally altered quartz monzonite in a semi-arid climate. Over half of the extremely steep basin is exposed bedrock. Debris flows occur multiple times per year in response to rainstorm events, typically during the summer monsoon season. The frequency of debris flows, and the uniformity of the underlying rock, make Chalk Cliffs an ideal study catchment for translating mechanistic understanding of natural debris flows to other sites. A 2008 National Center for Airborne Laser Mapping (NCALM) Airborne LiDAR survey provides baseline topography for the site; however, heretofore there has been no systematic effort to collect repeat topography of the entire site. Starting in May 2018, we made repeat surveys of the basin with an unmanned aircraft system (UAS). The UAS-based imagery was processed into (x, y, z) point clouds using Structure-from-Motion (SfM) photogrammetry. We geo-registered the point clouds using 12 ground control points placed within and around the study basin. In this study we compare the LiDAR with one SfM point cloud to assess topographic change over a 10-year time period. The difference map provides observational data relevant to understanding sediment provenance and transport at the Chalk Cliffs. The difference image indicates erosion of colluvial surfaces, with limited deposition in the survey area. Some colluvial hillslopes show spatially uniform erosion while others experienced concentrated erosion of up to three meters depth over a ten-year period.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Debris-flow hazards mitigation : mechanics, monitoring, modeling, and assessment ; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Seventh International Conference on Debris-Flow Hazards Mitigation","conferenceDate":"June 10-13, 2019","conferenceLocation":"Golden, CO","language":"English","publisher":"Mountain Scholar","usgsCitation":"Barnhart, K.R., Rengers, F.K., N, G.J., Tucker, G.E., Coe, J.A., Kean, J.W., Smith, J.B., Staley, D.M., Kleiber, W., and Wiens, A., 2019, Topographic change detection at Chalk Cliffs, Colorado, USA, using Airborne LiDAR and UAS-based Structure-from-Motion photogrammetry, in Debris-flow hazards mitigation : mechanics, monitoring, modeling, and assessment ; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation, v. 7, Golden, CO, June 10-13, 2019, p. 85-92.","productDescription":"8 p.","startPage":"85","endPage":"92","ipdsId":"IP-105692","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":365017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365016,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/11124/173051"}],"country":"United States","state":"Colorado","otherGeospatial":"Chalk Cliffs","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.45957946777344,\n 38.504116723098484\n ],\n [\n 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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":762127,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762128,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Joel B. 0000-0001-7219-7875 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Boulder","active":true,"usgs":false}],"preferred":false,"id":762131,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wiens, Ashton M","contributorId":215355,"corporation":false,"usgs":false,"family":"Wiens","given":"Ashton M","affiliations":[{"id":16144,"text":"University of Colorado-Boulder","active":true,"usgs":false}],"preferred":false,"id":762132,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70203928,"text":"70203928 - 2019 - Airborne waveform lidar simulator using the radiative transfer of a laser pulse","interactions":[],"lastModifiedDate":"2019-06-21T11:55:24","indexId":"70203928","displayToPublicDate":"2019-06-15T11:48:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5841,"text":"Applied Sciences","onlineIssn":"2076-3417","active":true,"publicationSubtype":{"id":10}},"title":"Airborne waveform lidar simulator using the radiative 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An airborne lidar simulator creates a lidar point cloud from a simulated lidar system, flight parameters, and the terrain digital elevation model (DEM). At the basic level, the lidar simulator computes the range from a lidar system to the surface of a terrain using the geomatics lidar equation. The simple computation effectively assumes that the beam divergence is zero. If the beam spot is meaningfully large due to the large beam divergence combined with high sensor altitude, then the beam plane with a finite size interacts with a ground target in a realistic and complex manner. The irradiance distribution of a delta-pulse beam plane is defined based on laser pulse radiative transfer. The airborne lidar simulator in this research simulates the interaction between the delta-pulse and a three-dimensional (3D) object and results in a waveform. The waveform will be convoluted using a system response function. The lidar simulator also computes the total propagated uncertainty (TPU). All sources of the uncertainties associated with the position of the lidar point and the detailed geomatics equations to compute TPU are described. The boresighting error analysis and the 3D accuracy assessment are provided as examples of the application using the simulator

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Sevice","active":true,"usgs":false}],"preferred":false,"id":764396,"contributorType":{"id":1,"text":"Authors"},"rank":59},{"text":"Kempenaers, Bart","contributorId":54943,"corporation":false,"usgs":false,"family":"Kempenaers","given":"Bart","email":"","affiliations":[{"id":7029,"text":"Queen's University, Kingston, Ontario, Canada","active":true,"usgs":false},{"id":13130,"text":"Konrad Lorenz Institute for Ethology, Austrian Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":764397,"contributorType":{"id":1,"text":"Authors"},"rank":60}]}} ,{"id":70203680,"text":"ofr20191066 - 2019 - Methods for installation, removal, and downloading data from the temperature profiling probe (TROD)","interactions":[],"lastModifiedDate":"2019-06-17T10:14:00","indexId":"ofr20191066","displayToPublicDate":"2019-06-14T10:43:36","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1066","displayTitle":"Methods for installation, removal, and downloading data from the temperature profiling probe (TROD)","title":"Methods for installation, removal, and downloading data from the temperature profiling probe (TROD)","docAbstract":"
This document provides a brief method overview on the deployment and removal of the temperature profiling probe developed by the U.S. Geological Survey (USGS) in 2015 and referred to as SensorRod or temperature rod (TROD). The TROD is suitable for short- to long-term deployments (days to years) for evaluating thermal gradients in soils and sediments beneath surface water. Applications include evaluating exchange between groundwater and surface water, seepage losses in agricultural canals, infiltration on hillslopes, and timing of snowmelt and runoff. The temperature sensors inside the TROD are iButtons and are meant to be replaceable when needed. The housing is water tight and is made of schedule 80 PVC pipe. Sensor intervals are flexible and can be built to specific applications.

A joint patent (U.S 10/180,360.) and license agreement between the USGS and Alpha Mach for the TROD design was obtained in 2019, and a paper in Water Resource Research describes the design and testing (Naranjo and Turcotte, 2015).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191066","usgsCitation":"Naranjo, R.C., 2019, Methods for installation, removal, and downloading data from the temperature profiling probe (TROD): U.S. Geological Survey Open-File Report 2019–1066, 14 p., https://doi.org/10.3133/ofr20191066.","productDescription":"Report: iv, 14 p.","numberOfPages":"14","onlineOnly":"Y","ipdsId":"IP-093927","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":364599,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1066/coverthb.jpg"},{"id":364600,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1066/ofr20191066.pdf","text":"Report","size":"42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2019-1066"}],"contact":"

Director, 
Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Road
Carson City, Nevada 95819

","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-06-11","noUsgsAuthors":false,"publicationDate":"2019-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Naranjo, Ramon C. 0000-0003-4469-6831 rnaranjo@usgs.gov","orcid":"https://orcid.org/0000-0003-4469-6831","contributorId":3391,"corporation":false,"usgs":true,"family":"Naranjo","given":"Ramon","email":"rnaranjo@usgs.gov","middleInitial":"C.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763579,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70203935,"text":"70203935 - 2019 - Spatially consistent high-resolution land surface temperature mosaics for thermophysical mapping of the Mojave Desert","interactions":[],"lastModifiedDate":"2019-06-24T15:50:40","indexId":"70203935","displayToPublicDate":"2019-06-13T15:47:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3380,"text":"Sensors","active":true,"publicationSubtype":{"id":10}},"title":"Spatially consistent high-resolution land surface temperature mosaics for thermophysical mapping of the Mojave Desert","docAbstract":"Daytime and nighttime thermal infrared observations acquired by the ASTER and MODIS instruments onboard the NASA Terra spacecraft have produced a dataset that can be used to map thermophysical properties across large regions, which have implications on surface processes, thermal environments and habitat suitability for desert species. ASTER scenes acquired between 2004 and 2012 are combined using new mosaicking and data-fusion techniques to produce a map of daytime and nighttime land surface temperature with coverage exclusive of the effects of clouds and weather. These data are combined with Landsat 7 visible imagery to generate a consistent map of apparent thermal inertia (ATI), which is related to the presence of exposed bedrock, rocks, fine-grained sediments and water on the surface. The resulting datasets are compared to known geomorphic units and surface types to generate an interpreted mechanical composition map of the entire Mojave Desert at 100 m per pixel that is most sensitive to large clast size distinctions in grain size distribution.","language":"English","publisher":"MDPI","doi":"10.3390/s19122669","usgsCitation":"Nowicki, S.A., Inman, R.D., Esque, T., Nussear, K., and Edwards, C., 2019, Spatially consistent high-resolution land surface temperature mosaics for thermophysical mapping of the Mojave Desert: Sensors, v. 19, no. 12, 2669; 17 p., https://doi.org/10.3390/s19122669.","productDescription":"2669; 17 p.","ipdsId":"IP-093332","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467532,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/s19122669","text":"Publisher Index Page"},{"id":364965,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"ARizone, California, Nevada, Utah","otherGeospatial":"Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119,\n 34\n ],\n [\n -113,\n 34\n ],\n [\n -113,\n 37\n ],\n [\n -119,\n 37\n ],\n [\n -119,\n 34\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"12","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Nowicki, Scott A","contributorId":216483,"corporation":false,"usgs":false,"family":"Nowicki","given":"Scott","email":"","middleInitial":"A","affiliations":[{"id":13339,"text":"University of New Mexico, Albuquerque","active":true,"usgs":false}],"preferred":false,"id":764840,"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":764841,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":764842,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nussear, Kenneth","contributorId":194538,"corporation":false,"usgs":false,"family":"Nussear","given":"Kenneth","affiliations":[{"id":24618,"text":"Department of Geography, University of Nevada, Reno, Reno, NV","active":true,"usgs":false}],"preferred":false,"id":764843,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edwards, Christopher S.","contributorId":206168,"corporation":false,"usgs":false,"family":"Edwards","given":"Christopher S.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":764844,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70202483,"text":"sir20195011 - 2019 - Hydrologic and hydraulic analyses of selected streams in Richland County, Ohio","interactions":[],"lastModifiedDate":"2019-06-18T08:53:48","indexId":"sir20195011","displayToPublicDate":"2019-06-13T15:11:21","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5011","displayTitle":"Hydrologic and Hydraulic Analyses of Selected Streams in Richland County, Ohio","title":"Hydrologic and hydraulic analyses of selected streams in Richland County, Ohio","docAbstract":"

Hydrologic and hydraulic analyses were done for selected reaches of Clear Fork Mohican River and Cedar Fork in Richland County, Ohio. To update and expand a portion of the Federal Emergency Management Agency detailed Flood Insurance Study, the U.S. Geological Survey (USGS) and the Muskingum Watershed Conservancy District initiated a cooperative study. The study comprised an 18.6-mile reach of the Clear Fork Mohican River and a 5.9-mile reach of Cedar Fork.

Historical streamflow data from the streamgage Clear Fork Mohican River at Bellville, Ohio (USGS station number 03131982) and regional regression equations were used to estimate instantaneous peak streamflows for floods with 10-, 4-, 2-, 1-, and 0.2-percent and 1-percent plus annual exceedance probabilities. The 1-percent plus flood elevation is defined by the Federal Emergency Management Agency as a flood elevation derived by using streamflows that include the average predictive error for the regression equation streamflow calculation for the Flood Risk project. This error is then added to the 1-percent annual exceedance probability flood streamflow to calculate the new 1-percent plus streamflow.

The annual exceedance probability streamflows were then used in a Hydrologic Engineering Center-River Analysis System step-backwater model to determine water-surface elevation profiles and flood-inundation boundaries for the 10-, 4-, 2-, 1-, and 0.2-percent and 1-percent plus annual exceedance probability floods and a regulatory floodway along a selected reach of each stream. The Clear Fork Mohican River model was calibrated to 16 flood events by using the current stage-streamflow relation at the streamgage Clear Fork Mohican River at Bellville, Ohio (USGS station number 03131982) and a submersible pressure transducer. Flood-inundation boundaries for the 1- and 0.2-percent annual exceedance probability floods and a regulatory floodway were mapped for each stream.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195011","collaboration":"Prepared in cooperation with the Muskingum Watershed Conservancy District and Richland County","usgsCitation":"Ostheimer, C.J., 2019, Hydrologic and hydraulic analyses of selected streams in Richland County, Ohio: U.S. Geological Survey Scientific Investigations Report 2019–5011, 18 p., https://doi.org/10.3133/sir20195011.","productDescription":"Report: iv, 18 p., Data Release","numberOfPages":"26","ipdsId":"IP-100978","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":364655,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NMXM5B","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Geospatial datasets and hydraulic models of the Clear Fork Mohican River and Cedar Fork in Richland County, Ohio"},{"id":364654,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5011/sir20195011.pdf","text":"Report","size":"2.67 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5011"},{"id":364653,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5011/coverthb.jpg"}],"country":"United States","state":"Ohio","county":"Richland county","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.66525268554688,\n 40.54850462620186\n ],\n [\n -82.33943939208984,\n 40.54850462620186\n ],\n [\n -82.33943939208984,\n 40.77352187640244\n ],\n [\n -82.66525268554688,\n 40.77352187640244\n ],\n [\n -82.66525268554688,\n 40.54850462620186\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Ohio-Kentucky-Indiana Water Science Center
U.S. Geological Survey
6460 Busch Boulevard Suite 100
Columbus, OH 43229–1737

","tableOfContents":"","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2019-06-13","noUsgsAuthors":false,"publicationDate":"2019-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Ostheimer, Chad J. 0000-0002-4528-8867","orcid":"https://orcid.org/0000-0002-4528-8867","contributorId":213950,"corporation":false,"usgs":true,"family":"Ostheimer","given":"Chad","email":"","middleInitial":"J.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":758795,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70202339,"text":"fs20193004 - 2019 - Water resources of Tensas Parish, Louisiana","interactions":[],"lastModifiedDate":"2019-07-22T08:09:08","indexId":"fs20193004","displayToPublicDate":"2019-06-13T14:21:14","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3004","displayTitle":"Water Resources of Tensas Parish, Louisiana","title":"Water resources of Tensas Parish, Louisiana","docAbstract":"

Information concerning the availability, use, and quality of water in Tensas Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. In 2014, 38.01 million gallons per day (Mgal/d) of water were withdrawn in Tensas Parish, including about 33.02 Mgal/d from groundwater sources and about 4.99 Mgal/d from surface-water sources. Withdrawals for agricultural use, composed of general irrigation, rice irrigation, aquaculture, and livestock, accounted for about 97 percent (36.88 Mgal/d) of the total water withdrawn. Other use categories included public supply and rural domestic. Water-use data collected at 5-year intervals from 1960 to 2010 and again in 2014 indicated that water withdrawals peaked in 2014. The large increase in 1985 relative to 1980 and 1990 for groundwater usage is likely an outlier that is attributable to a change in methodology for estimating rice irrigation. A transition in available farm-by-farm data from 1980 to 1985 to 1990 resulted in three different methods being used for estimating groundwater withdrawals for rice irrigation.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193004","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., 2019, Water resources of Tensas Parish, Louisiana: U.S. Geological Survey Fact Sheet 2019–3004, 6 p., https://doi.org/10.3133/fs20193004.","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"N","ipdsId":"IP-081697","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":364625,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78051VM","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Water withdrawals by source and category in Louisiana Parishes, 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Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
3535 S. Sherwood Forest Blvd., Suite 120
Baton Rouge, LA 70816

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-06-13","noUsgsAuthors":false,"publicationDate":"2019-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757886,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70203801,"text":"70203801 - 2019 - Benthic foraminiferal biotic events related to the Paleocene–Eocene Thermal Maximum along the California Margin","interactions":[],"lastModifiedDate":"2019-06-13T13:07:15","indexId":"70203801","displayToPublicDate":"2019-06-13T13:05:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2673,"text":"Marine Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Benthic foraminiferal biotic events related to the Paleocene–Eocene Thermal Maximum along the California Margin","docAbstract":"The faunal expression of the Paleocene-Eocene Thermal Maximum (PETM) is well documented in deep-sea sediments. However, few studies have examined continental margin sections, especially active margins. The Moreno and Lodo formations, Central California, were deposited along the eastern margin of a north-south trending forearc basin on the convergent margin of California during the Cretaceous through Late Cenozoic. The Tumey Gulch section which includes the Moreno and Lodo formations, is 80 m thick, contains the Paleocene-Eocene boundary and Carbon Isotope Excursion (CIE), and was deposited at abyssal to lower bathyal depths along an active continental margin. Benthic foraminiferal assemblages from this section record faunal changes related to the PETM and a younger hyperthermal, ETM3 which include a disruption of the gradual shallowing of water depths and fluctuation of the CCD. Associated with the onset of the hyperthermals in this section is a red clay-siltstone layer (low calcium carbonate content) and an increase in smoothly finished dissolution resistant agglutinated benthic foraminiferal species which corresponds with a rapid shoaling of the CCD. The subsequent overcompensation is identified by a rapid change to shallower benthic biofacies faunas, increased sediment rate, current activity, and terrestrial organic matter which is associated with increased weathering. \n\nFurther analysis of the foraminiferal faunas identified the benthic foraminiferal extinction event (BEE), deep water agglutinated faunal acmes, and fluctuations in the calcareous foraminiferal assemblages which indicate changes in the paleoenvironmental conditions (e.g. dissolved oxygen, sedimentation rates and current activity, and the influx of organic carbon) during the PETM and ETM3. The Ynezian, Bulitian, and Penutian California benthic foraminiferal stages are recognized in the Tumey Gulch section as well as the benthic foraminiferal extinction event (BEE) which occurs at the onset of the PETM and is distinguished by the last appearance of Paleocene species and the first appearance of many Eocene species. Agglutinated foraminiferal species dominate the late Paleocene through early Eocene part of the section indicating deposition occurred at abyssal depths below the CCD and that the environment was oligotrophic with moderate to low organic flux. The Glomospira acme zone is recognized at the base of the CIE and just above the top of red clay-siltstone layer and suggests increased terrestrial organic matter and elevated sedimentation rates. The abundance of calcareous species, specifically Bulimina alazanensis, followed by the appearance of opportunistic taxa (Tappanina and Quadrimorphina) in the PETM interval indicates deposition within the lower bathyal biofacies and a drop in the depth of the CCD. Eocene species characteristic of the Survivor faunal group (Anomalinoides, Bulimina, Cibicidoides, and Pleurostomella) appear above this event. Foraminiferal assemblages dominated by agglutinated foraminifera appear in sediments overlying the PETM interval and indicate deposition occurred at abyssal depths and below the CCD. Calcareous foraminiferal assemblages appear higher in the section as water depths decrease. The presence of a second red clay-siltstone layer associated with a second isotope excursion and faunal changes in the upper part of the section indicate the presence of another hyperthermal, ETM3.","language":"English","publisher":"Elsevier","doi":"10.1016/j.marmicro.2019.04.004","usgsCitation":"McDougall-Reid, K., and John, C.M., 2019, Benthic foraminiferal biotic events related to the Paleocene–Eocene Thermal Maximum along the California Margin: Marine Micropaleontology, v. 150, https://doi.org/10.1016/j.marmicro.2019.04.004.","ipdsId":"IP-099252","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":364643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"150","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McDougall-Reid, Kristin 0000-0002-8788-3664","orcid":"https://orcid.org/0000-0002-8788-3664","contributorId":216211,"corporation":false,"usgs":true,"family":"McDougall-Reid","given":"Kristin","email":"","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":764183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"John, Cedric M","contributorId":216212,"corporation":false,"usgs":false,"family":"John","given":"Cedric","email":"","middleInitial":"M","affiliations":[{"id":39377,"text":"Department of Earth Science and Engineering, Imperial College, London, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":764184,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203896,"text":"70203896 - 2019 - Estimating the pressure-limited dynamic capacity and costs of basin-scale CO2 storage in a Saline Formation","interactions":[],"lastModifiedDate":"2019-06-20T10:48:26","indexId":"70203896","displayToPublicDate":"2019-06-13T10:42:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2049,"text":"International Journal of Greenhouse Gas Control","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Estimating the pressure-limited dynamic capacity and costs of basin-scale CO2 storage in a saline formation","title":"Estimating the pressure-limited dynamic capacity and costs of basin-scale CO2 storage in a Saline Formation","docAbstract":"

Deployment of carbon capture and storage (CCS) could be necessary to be able to satisfy baseload electricity demand, maintain diversity in the energy mix, and achieve mitigation of carbon dioxide (CO2) emissions at lowest cost (IPCC, 2015; U.S. DOE, 2016). If basin-, regional- or national-scale deployment of CCS is needed, it may be possible to store only a small fraction of the captured CO2 in oil and natural gas reservoirs. The vast majority would likely have to be stored in saline formations. Pressure buildup as a result of injecting CO2 into such reservoirs is expected to be an important source of risk associated with CO2 storage, and could constrain dynamic storage capacities (maximum injection rates) to be far below estimates based on access to theoretical storage resources. Estimates of CO2 storage costs based on an assumption of practical availability of the theoretical storage resource could lead to underestimation of the costs of CO2 storage. In this study, simulation results suggest that the pressure-limited dynamic CO2 storage capacity of the Mount Simon Sandstone could be less than 4% of the theoretical storage resource in this saline formation, and storage costs could be an order of magnitude higher than recent estimates. However, consideration of the geologic heterogeneity in this deep saline formation allowed definition of a high injectivity zone, and estimated costs of CO2 storage in this “sweet spot” of the reservoir approached recent estimates that did not include costs for pressure management.

","language":"English","publisher":"Elsevier Ltd.","doi":"10.1016/j.ijggc.2019.05.031","usgsCitation":"Anderson, S.T., and Jahediesfanjani, H., 2019, Estimating the pressure-limited dynamic capacity and costs of basin-scale CO2 storage in a Saline Formation: International Journal of Greenhouse Gas Control, v. 88, p. 156-167, https://doi.org/10.1016/j.ijggc.2019.05.031.","productDescription":"12 p.","startPage":"156","endPage":"167","ipdsId":"IP-102164","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":467533,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijggc.2019.05.031","text":"Publisher Index Page"},{"id":364831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Kentucky","otherGeospatial":"Mount Simon Sandstone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.52734374999999,\n 41.07935114946899\n ],\n [\n -91.03271484375,\n 39.45316112807394\n ],\n [\n -90.37353515625,\n 38.44498466889473\n ],\n [\n -89.07714843749999,\n 38.151837403006766\n ],\n [\n -86.68212890625,\n 37.35269280367274\n ],\n [\n -84.5068359375,\n 37.82280243352756\n ],\n [\n -85.14404296875,\n 39.35129035526705\n ],\n [\n -86.68212890625,\n 40.763901280945866\n ],\n [\n -88.87939453125,\n 40.6306300839918\n ],\n [\n -90.52734374999999,\n 41.07935114946899\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"88","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Steven T. 0000-0003-3481-3424 sanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-3481-3424","contributorId":2532,"corporation":false,"usgs":true,"family":"Anderson","given":"Steven","email":"sanderson@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":764635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jahediesfanjani, Hossein 0000-0001-6281-5166 hjahediesfanjani@usgs.gov","orcid":"https://orcid.org/0000-0001-6281-5166","contributorId":193397,"corporation":false,"usgs":false,"family":"Jahediesfanjani","given":"Hossein","email":"hjahediesfanjani@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":764665,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70219072,"text":"70219072 - 2019 - Quantitative evaluation of vitrinite reflectance in shale using Raman spectroscopy and multivariate analysis","interactions":[],"lastModifiedDate":"2021-03-23T15:04:37.764859","indexId":"70219072","displayToPublicDate":"2019-06-13T10:00:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1709,"text":"Fuel","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative evaluation of vitrinite reflectance in shale using Raman spectroscopy and multivariate analysis","docAbstract":"

The current research builds upon a previously published study that demonstrated the combination of Raman spectroscopy coupled with multivariate analysis (MVA) for the prediction of thermal maturity in coal by evaluating the efficacy of this method for the prediction of thermal maturity in shale. MVA techniques eliminate analyst bias in peak-fitting methods by using the full Raman spectrum, and then extricating the important spectral regions for distinguishing samples and building accurate, robust models. Partial least squares (PLS) regression models were developed using Raman spectra and VRo values (0.58–4.59%) for 53 geographically diverse shale chip samples, and 43 shale powder samples. Separate PLS models were built using Raman spectra from shale chips or powders. The calibration sets were validated using approximately one-third of the samples to rigorously assess the predictive accuracy of the models. The root mean standard error of prediction was 0.24 for the shale chip model, and 0.28 for the shale powder model. The coefficients of determination (R2) for the cross-validated data sets were identical (0.90, chips; 0.90, powders), revealing a strong linearity despite the geographic and age diversity of the samples. This study demonstrates the validity of using PLS models for the prediction of shale VRo from Raman spectra. The MVA method described herein presents a Raman alternative to the VRo industry benchmark for assessing thermal maturity in shale that is not imperiled by the shortcomings and subjectivity of peak-fitting methods.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.fuel.2019.05.156","usgsCitation":"Lupoi, J.S., Hackley, P.C., Birsic, E., Fritz, L.P., Solotky, L., Weislogel, A., and Schlaegle, S., 2019, Quantitative evaluation of vitrinite reflectance in shale using Raman spectroscopy and multivariate analysis: Fuel, v. 254, 115573, 9 p., https://doi.org/10.1016/j.fuel.2019.05.156.","productDescription":"115573, 9 p.","ipdsId":"IP-106000","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":467534,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fuel.2019.05.156","text":"Publisher Index Page"},{"id":384585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": 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University","active":true,"usgs":false}],"preferred":false,"id":812664,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Solotky, Logan","contributorId":243155,"corporation":false,"usgs":false,"family":"Solotky","given":"Logan","email":"","affiliations":[{"id":48649,"text":"RJ Lee Group Inc.","active":true,"usgs":false}],"preferred":false,"id":812665,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weislogel, Amy","contributorId":243156,"corporation":false,"usgs":false,"family":"Weislogel","given":"Amy","email":"","affiliations":[{"id":48650,"text":"West Virginia University,Department of Geology and Geography","active":true,"usgs":false}],"preferred":false,"id":812666,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schlaegle, Steve","contributorId":243157,"corporation":false,"usgs":false,"family":"Schlaegle","given":"Steve","email":"","affiliations":[{"id":48649,"text":"RJ Lee Group Inc.","active":true,"usgs":false}],"preferred":false,"id":812667,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70203964,"text":"70203964 - 2019 - Spatial patterns of rainbow smelt energetic condition in Lakes Huron and Erie in 2017: Evidence for Lake Huron resource limitation","interactions":[],"lastModifiedDate":"2019-08-15T07:50:07","indexId":"70203964","displayToPublicDate":"2019-06-13T09:54:10","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Spatial patterns of rainbow smelt energetic condition in Lakes Huron and Erie in 2017: Evidence for Lake Huron resource limitation","docAbstract":"

Rainbow smelt (Osmerus mordax) is a key planktivore and prey fish in Lake Huron. Given the declining offshore productivity in the lake since the early 2000s, we described the energy content of rainbow smelt in 2017 across five different regions (North Channel, Georgian Bay, Saginaw Bay, northern main basin, southern main basin) where phytoplankton and zooplankton productivity likely varied. To increase contrast across the productivity gradient, rainbow smelt energy content was also estimated from western Lake Erie. Within the North Channel where large fish (≥90 mm, total length) were sampled most frequently, mean energy density (kJ/g wet weight) varied seasonally: 4.29 in April (month of spawning), 3.86 in June, 3.99 in July, and up to 4.35 in September. Energy density of rainbow smelt from higher productivity western Lake Erie was 37% (large fish ≥90 mm) to 60% higher (small fish <90 mm) than that of fish from Lake Huron. Within Lake Huron, energy density of rainbow smelt from North Channel was slightly higher than those from other regions; rainbow smelt from Georgian Bay generally had the lowest energy density. Across regions, including western Lake Erie, energy density increased with chlorophyll a concentration. Compared with Lake Huron studies prior to 2004, when oligotrophication had not yet accelerated, energy density of rainbow smelt in 2017 was up to 31% lower. The decline in rainbow smelt energy density is likely the result of declining primary and secondary pelagic production and increased resource limitation for planktivorous fish.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2019.06.001","usgsCitation":"Dai, Q., Bunnell, D., Diana, J.S., Pothoven, S.A., Eaton, L.A., O’Brien, T.P., and Kraus, R., 2019, Spatial patterns of rainbow smelt energetic condition in Lakes Huron and Erie in 2017: Evidence for Lake Huron resource limitation: Journal of Great Lakes Research, v. 45, no. 4, p. 830-839, https://doi.org/10.1016/j.jglr.2019.06.001.","productDescription":"10 p.","startPage":"830","endPage":"839","ipdsId":"IP-104551","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":467535,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2019.06.001","text":"Publisher Index Page"},{"id":365000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ohio, Ontario","otherGeospatial":"Lake Erie, Lake 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Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":764999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diana, James S.","contributorId":216547,"corporation":false,"usgs":false,"family":"Diana","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":765001,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pothoven, Steven A.","contributorId":92998,"corporation":false,"usgs":false,"family":"Pothoven","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":765002,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eaton, Lauren A.","contributorId":211815,"corporation":false,"usgs":false,"family":"Eaton","given":"Lauren","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":765003,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Brien, Timothy P. 0000-0003-4502-5204 tiobrien@usgs.gov","orcid":"https://orcid.org/0000-0003-4502-5204","contributorId":2662,"corporation":false,"usgs":true,"family":"O’Brien","given":"Timothy","email":"tiobrien@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":765004,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":765005,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70223691,"text":"70223691 - 2019 - Tourmaline boron and strontium isotope systematics reveal magmatic fluid pulses and external fluid influx in a giant iron oxide-apatite (IOA) deposit","interactions":[],"lastModifiedDate":"2021-09-01T14:37:41.100656","indexId":"70223691","displayToPublicDate":"2019-06-13T09:29:31","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Tourmaline boron and strontium isotope systematics reveal magmatic fluid pulses and external fluid influx in a giant iron oxide-apatite (IOA) deposit","docAbstract":"

Tourmaline is a common boron-bearing mineral in hydrothermal system and has been widely used as a mineral probe to reconstruct geological processes because of its broad range in composition and resistance to metasomatic alteration. The origin of Kiruna-type iron oxide-apatite (IOA) deposits, commonly linked to andesitic subvolcanic or volcanic rocks, is highly controversial. Constraints on the evolution of these mineralizing systems are needed to advance understanding of the ore-forming process. In this study, we apply in situ elemental and combined B-Sr isotopic analyses of tourmaline to elucidate the nature and evolution of the subsurface hydrothermal system associated with IOA mineralization in the giant Taocun deposit, eastern China.

Taocun is hosted at the top of a diorite intrusion and exhibits three stages of hydrothermal alteration that contain tourmaline: pre-ore Na alteration (Tur I), syn-ore magnetite formation and associated Ca-Fe alteration (Tur II), and post-ore Ca-Mg alteration with sulfide veins (Tur III). Compositional data for each stage of tourmaline plot along the “oxy-dravite”–povondraite join, which is indicative of precipitation from relatively oxidizing fluids. Ranges of Sr-isotopic compositions in Tur I (0.7065–0.7078) and Tur II (0.7068–0.7076) are identical to those of the igneous host rocks, indicating precipitation from magmatic-hydrothermal fluids. The range of B-isotopic compositions in Tur I (δ11B values of −6.3‰ to −1.2‰) is also consistent with a magmatic source. Higher δ11B values (−2.4‰ to 5.4‰) obtained from Tur II are mainly ascribed to Rayleigh fractionation in the magmatic-hydrothermal system as tourmaline precipitated. Post-ore Tur III has a wide range of mostly lower B-isotopic compositions (−8.5‰ to 0.8‰) that record another pulse of magmatic fluid input. This interpretation is supported by the enrichment of Na, Li, Be, W, Sn, V, and Ti in Tur III, relative to Tur I and II. However, the higher Sr-isotope composition (0.7076–0.7086) of Tur III and available O-isotope composition (−7‰ to 3.5‰) of fluids of this stage record the infiltration of meteoric ground water from adjacent sedimentary country rocks. The results suggest that the Taocun IOA deposit formed in a magmatic-hydrothermal system characterized by two (or more) pulses of magmatic fluid discharge from subvolcanic diorite intrusions, followed by the influx of external ground water as the system waned. This study highlights the utility of tourmaline as a robust geochemical and isotopic monitor of ore-forming processes in such systems.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2019.06.006","usgsCitation":"Su, Z., Zhao, X., Zeng, L., Zhao, K., and Hofstra, A.H., 2019, Tourmaline boron and strontium isotope systematics reveal magmatic fluid pulses and external fluid influx in a giant iron oxide-apatite (IOA) deposit: Geochimica et Cosmochimica Acta, v. 259, p. 233-252, https://doi.org/10.1016/j.gca.2019.06.006.","productDescription":"20 p.","startPage":"233","endPage":"252","ipdsId":"IP-106893","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":388731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Ningwu IOA district","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 117.48779296875,\n 30.097613277217132\n ],\n [\n 118.58642578124999,\n 30.097613277217132\n ],\n [\n 118.58642578124999,\n 31.704803074739214\n ],\n [\n 117.48779296875,\n 31.704803074739214\n ],\n [\n 117.48779296875,\n 30.097613277217132\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"259","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Su, Zhi-kun","contributorId":265158,"corporation":false,"usgs":false,"family":"Su","given":"Zhi-kun","email":"","affiliations":[{"id":54615,"text":"China University of Geosciences-Wuhan","active":true,"usgs":false}],"preferred":false,"id":822339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhao, Xinfu","contributorId":265159,"corporation":false,"usgs":false,"family":"Zhao","given":"Xinfu","email":"","affiliations":[{"id":54615,"text":"China University of Geosciences-Wuhan","active":true,"usgs":false}],"preferred":false,"id":822340,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zeng, Li-ping","contributorId":265160,"corporation":false,"usgs":false,"family":"Zeng","given":"Li-ping","email":"","affiliations":[{"id":54615,"text":"China University of Geosciences-Wuhan","active":true,"usgs":false}],"preferred":false,"id":822341,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhao, Kui-dong","contributorId":265161,"corporation":false,"usgs":false,"family":"Zhao","given":"Kui-dong","email":"","affiliations":[{"id":54615,"text":"China University of Geosciences-Wuhan","active":true,"usgs":false}],"preferred":false,"id":822342,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":822343,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203911,"text":"70203911 - 2019 - Geographic variation in natal dispersal of Northern Spotted Owls over 28 years","interactions":[],"lastModifiedDate":"2019-06-21T09:24:24","indexId":"70203911","displayToPublicDate":"2019-06-13T09:17:20","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Geographic variation in natal dispersal of Northern Spotted Owls over 28 years","docAbstract":"

The most recent comprehensive estimates of Northern Spotted Owl (Strix occidentalis caurina) natal dispersal distances were reported in 2002. Since then, Northern Spotted Owl populations have experienced substantial demographic changes, with potential attendant changes in natal dispersal distances, including temporal or geographic trends. We analyzed the natal dispersal of Northern Spotted Owls during 1985–2012 in Oregon and Washington, USA (n = 1,534 dispersal events), to determine current natal dispersal distances and to evaluate potential trends that may inform management actions. Mean net dispersal distance (natal site to site of first attempted breeding) was 23.8 km +- 19.2 km SD, with females dispersing ~50% farther than males. Net dispersal distance varied by ecoregion (Washington Coast and Cascades, Washington Eastern Cascades, Oregon Coast Range, Oregon and California Cascades, and Oregon and California Klamath) but declined similarly in all ecoregions over time (~1 km yr^-1 ). Dispersal direction also varied by ecoregion, following coarse-scale forest habitat configuration, and was bimodal (north–south) in the Oregon Coast Range, south–southwest in the Oregon and California Cascades, and showed little directionality in the Washington Eastern Cascades, Washington Coast and Cascades, and Oregon and California Klamath. Long-distance dispersal events (.50 km) also varied by ecoregion (mean: 62.3–99.5 km), with most long-distance dispersal (8% of dispersers; distances up to 177 km) originating in southern ecoregions. We found no direct relationship between Barred Owl (Strix varia) detections near natal or settling locations and dispersal distance. These findings, particularly the declining trend of dispersal distances, may inform management actions aimed toward conservation of the Northern Spotted Owl.

","language":"English","publisher":"BioOne","doi":"10.1650/CONDOR-17-164.1","usgsCitation":"Hollenbeck, J., Haig, S.M., Forsman, E.D., and Wiens, D., 2019, Geographic variation in natal dispersal of Northern Spotted Owls over 28 years: The Condor, v. 120, no. 3, p. 530-542, https://doi.org/10.1650/CONDOR-17-164.1.","productDescription":"13 p.","startPage":"530","endPage":"542","ipdsId":"IP-093377","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":364874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.73876953125,\n 48.4146186174932\n ],\n [\n -124.73876953125,\n 47.96050238891509\n ],\n [\n -124.23339843749999,\n 47.27922900257082\n ],\n [\n -123.96972656249999,\n 45.874712248904764\n ],\n [\n -124.12353515624999,\n 44.62175409623324\n ],\n [\n -124.23339843749999,\n 43.5326204268101\n ],\n [\n -124.5849609375,\n 42.84375132629021\n ],\n [\n -124.3212890625,\n 41.918628865183045\n ],\n [\n -120.36621093749999,\n 42.032974332441405\n ],\n [\n -120.16845703125,\n 45.66012730272194\n ],\n [\n -119.091796875,\n 48.980216985374994\n ],\n [\n -123.24462890625,\n 48.980216985374994\n ],\n [\n -122.98095703125,\n 48.76343113791796\n ],\n [\n -123.1787109375,\n 48.66194284607006\n ],\n [\n -123.11279296875001,\n 48.32703913063476\n ],\n [\n -123.3544921875,\n 48.23930899024907\n ],\n [\n -124.73876953125,\n 48.4146186174932\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"120","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hollenbeck, Jeff 0000-0001-6481-5354","orcid":"https://orcid.org/0000-0001-6481-5354","contributorId":216400,"corporation":false,"usgs":true,"family":"Hollenbeck","given":"Jeff","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":764715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":764716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forsman, Eric D.","contributorId":96792,"corporation":false,"usgs":false,"family":"Forsman","given":"Eric","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":764717,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiens, David 0000-0002-2020-038X jwiens@usgs.gov","orcid":"https://orcid.org/0000-0002-2020-038X","contributorId":167538,"corporation":false,"usgs":true,"family":"Wiens","given":"David","email":"jwiens@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":764718,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203186,"text":"sir20195027 - 2019 - Assessment of the presence of sewage in the Mill River under low-flow conditions, Springfield, Massachusetts, 2010–11","interactions":[],"lastModifiedDate":"2019-06-13T10:54:23","indexId":"sir20195027","displayToPublicDate":"2019-06-13T09:15:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5027","displayTitle":"Assessment of the Presence of Sewage in the Mill River Under Low-Flow Conditions, Springfield, Massachusetts, 2010–11","title":"Assessment of the presence of sewage in the Mill River under low-flow conditions, Springfield, Massachusetts, 2010–11","docAbstract":"

The U.S. Geological Survey, in cooperation with the Pioneer Valley Planning Commission, the U.S. Environmental Protection Agency, and the Massachusetts Department of Environmental Protection Senator William X. Wall Experiment Station, assessed the presence of 14 commonly used human-health pharmaceutical compounds, fecal indicator bacteria, and other man-made compounds indicative of the presence of human sewage in the lower reach of the Mill River near its confluence with the Connecticut River in Springfield, Massachusetts. The study was part of the Tri-State Connecticut River Targeted Watershed Initiative and involved the collection and analysis of raw river water at three sites along the reach, extending from Watershops Pond to the mouth, over the course of a low-flow period, July through November 2010. Previous studies in the region indicated that nonpoint or undocumented sources of wastewater contributed a variety of organic contaminants and potentially harmful bacteria to rivers under both high- and low-flow conditions. Additional samples, including a raw sewage sample collected near a Mill River combined sewer overflow during a non-overflow period, were collected in March 2011.

The study was designed to determine if city sewage or other domestic sources of wastewater were entering the river within this reach during low-flow conditions. No definitive evidence of sewage was measured in Mill River water samples collected during the study period. Fecal indicator bacteria, including Escherichia coli (E. coli) and enterococci bacteria, were detected in all Mill River water samples. In the DNA analysis of enterococci cultures from the Mill River, samples generally tested negative for the Enterococcus faecium (esp) human-specific genetic marker, whereas the raw sewage sample tested positive. Samples also generally tested negative in the human-specific rDNA marker assay for the anaerobic bacterium Bacteroidetes. Samples tested negative in 2010 for two Bacteroidetes human-specific genetic markers, HF134 and HF183, except samples from near the mouth of the Mill River, which tested positive. Samples collected in March 2011 from all three measurement sites tested positive for both markers. The results of bacterial analyses suggest that the fecal bacteria in summer and fall months are most likely of animal origin rather than human. Despite the urban setting, long history of development, and many potential sources of man-made contamination in the Mill River, none of the 12 water samples collected during the study contained targeted pharmaceutical compounds at concentrations greater than the analytical reporting levels. Other man-made compounds, like fluorescent whitening agents, were measured and detected in samples at low concentrations 4 out of 5 times the samples were collected; however, the other lines of evidence do not support a sewer source but rather other nonpoint sources upstream in the watershed.

The results of this study do not support the hypothesis that aging sewer lines or combined sewer overflow infrastructure leak into the Mill River as tested during the low-flow conditions during sampling for this study. None of the results from Mill River samples offer conclusive evidence of the presence of sewage. Some low-level detections of pharmaceutical compounds, other man-made chemicals, and bacteria suggest an upstream, nonpoint source.

A single raw sewage sample was collected, diluted, and examined for comparison with Mill River water samples and to ensure that the analytical methods could detect typical wastewater constituents. High levels of bacteria were measured, and low levels of three anthropogenic pharmaceutical compounds were detected, confirming the effectiveness of the sub-part-per-million method. The concentration of fluorescent whitening agent-1 in the sewage sample was 90,000 times greater than the median concentration in the Mill River samples.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195027","collaboration":"Prepared in cooperation with the Pioneer Valley Planning Commission, the U.S. Environmental Protection Agency, and the Massachusetts Department of Environmental Protection","usgsCitation":"Massey, A.J., Waldron, M.C., Tang, R.J., and Huntington, T.G., 2019, Assessment of the presence of sewage in the Mill River under low-flow conditions, Springfield, Massachusetts, 2010–11: U.S. Geological Survey Scientific Investigations Report 2019–5027, 18 p., https://doi.org/10.3133/sir20195027.","productDescription":"viii, 18 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-039347","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":364471,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5027/coverthb.jpg"},{"id":364472,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5027/sir20195027.pdf","text":"Report","size":"1.78 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5027"}],"country":"United States","state":"Massachusetts","county":"Hampden County","city":"Springfield","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-72.2208,42.2452],[-72.2417,42.2241],[-72.2607,42.2054],[-72.2649,42.1963],[-72.263,42.1931],[-72.2641,42.1836],[-72.2498,42.1787],[-72.2008,42.1612],[-72.1988,42.1535],[-72.1345,42.162],[-72.1358,42.0307],[-72.1364,42.0308],[-72.2322,42.0312],[-72.2934,42.0317],[-72.3082,42.0316],[-72.349,42.0325],[-72.4476,42.0343],[-72.4522,42.0344],[-72.4588,42.0343],[-72.4744,42.0344],[-72.5094,42.0349],[-72.5263,42.035],[-72.5732,42.0301],[-72.5848,42.0248],[-72.604,42.0252],[-72.6071,42.0253],[-72.6095,42.0307],[-72.6399,42.0316],[-72.6802,42.0351],[-72.7077,42.0371],[-72.7574,42.0362],[-72.7565,42.0314],[-72.7572,42.0287],[-72.7596,42.026],[-72.7634,42.0234],[-72.7686,42.0043],[-72.8182,41.9979],[-72.8168,42.0164],[-72.8155,42.0377],[-72.899,42.0379],[-72.9398,42.0379],[-72.9688,42.0385],[-73.0087,42.0395],[-73.0405,42.0403],[-73.0482,42.0405],[-73.0517,42.0405],[-73.0568,42.0479],[-73.0556,42.0534],[-73.0551,42.0579],[-73.0576,42.0593],[-73.0595,42.0602],[-73.0608,42.0629],[-73.0597,42.0674],[-73.0622,42.0706],[-73.0733,42.0945],[-73.0747,42.1022],[-73.076,42.1058],[-73.0748,42.109],[-73.0724,42.1118],[-73.0627,42.1178],[-73.0634,42.1219],[-73.0653,42.1264],[-73.0673,42.1305],[-73.068,42.1354],[-73.0687,42.1386],[-73.0694,42.1427],[-73.0701,42.145],[-73.0708,42.1481],[-73.0348,42.1436],[-73.0049,42.2498],[-73.0018,42.2512],[-73.0006,42.3121],[-72.9535,42.344],[-72.8957,42.3405],[-72.8943,42.3314],[-72.885,42.3324],[-72.8806,42.2652],[-72.9123,42.239],[-72.8741,42.2172],[-72.8722,42.2163],[-72.8644,42.2318],[-72.8578,42.2405],[-72.8133,42.2446],[-72.8118,42.2351],[-72.7933,42.2366],[-72.7917,42.2171],[-72.7818,42.2167],[-72.7814,42.1995],[-72.7665,42.1969],[-72.687,42.1831],[-72.6865,42.1908],[-72.6906,42.2131],[-72.6696,42.2164],[-72.6679,42.2255],[-72.6562,42.2275],[-72.634,42.274],[-72.6131,42.286],[-72.6057,42.2847],[-72.6013,42.2811],[-72.5992,42.2679],[-72.5998,42.2652],[-72.6078,42.2601],[-72.6181,42.2482],[-72.6234,42.2337],[-72.6203,42.2296],[-72.6128,42.2251],[-72.6077,42.2161],[-72.5958,42.2116],[-72.5674,42.2137],[-72.5426,42.2166],[-72.5074,42.2205],[-72.4226,42.2298],[-72.4035,42.2317],[-72.3954,42.1859],[-72.3608,42.1902],[-72.3615,42.1939],[-72.3634,42.1966],[-72.3647,42.2029],[-72.3629,42.2061],[-72.3493,42.2099],[-72.3456,42.2108],[-72.3463,42.2153],[-72.342,42.219],[-72.3364,42.219],[-72.2814,42.2348],[-72.2777,42.2326],[-72.2734,42.2362],[-72.2703,42.2367],[-72.2677,42.229],[-72.2572,42.2299],[-72.2499,42.2386],[-72.2468,42.2418],[-72.2208,42.2452]]]},\"properties\":{\"name\":\"Hampden\",\"state\":\"MA\"}}]}","contact":"

Director, New England Water Science Center
U.S. Geological Survey
331 Commerce Way, Suite 2
Pembroke, NH 03275

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2019-06-13","noUsgsAuthors":false,"publicationDate":"2019-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Massey, Andrew J. 0000-0003-3995-8657 ajmassey@usgs.gov","orcid":"https://orcid.org/0000-0003-3995-8657","contributorId":1862,"corporation":false,"usgs":true,"family":"Massey","given":"Andrew","email":"ajmassey@usgs.gov","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marcus C. Waldron","contributorId":215059,"corporation":false,"usgs":false,"family":"Marcus C. Waldron","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":761541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jean Tang, R.","contributorId":215058,"corporation":false,"usgs":false,"family":"Jean Tang","given":"R.","email":"","affiliations":[{"id":39168,"text":"Massachusetts DEP, Lawrence, MA","active":true,"usgs":false}],"preferred":false,"id":761540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huntington, Thomas G. 0000-0002-9427-3530 thunting@usgs.gov","orcid":"https://orcid.org/0000-0002-9427-3530","contributorId":1884,"corporation":false,"usgs":true,"family":"Huntington","given":"Thomas","email":"thunting@usgs.gov","middleInitial":"G.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761542,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70223299,"text":"70223299 - 2019 - A general model of temporary aquatic habitat use: Water phenology as a life history filter","interactions":[],"lastModifiedDate":"2021-08-20T13:33:52.286606","indexId":"70223299","displayToPublicDate":"2019-06-13T08:28:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1652,"text":"Fish and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"A general model of temporary aquatic habitat use: Water phenology as a life history filter","docAbstract":"

Temporary aquatic habitats are not widely appreciated fish habitat. However, fish navigate the transient waters of intertidal zones, floodplains, intermittent and ephemeral streams, lake margins, seasonally frozen lakes and streams, and anthropogenic aquatic habitats across the globe to access important resources. The selective pressures imposed by water impermanence (i.e., freezing, drying, tidal fluctuations), however, operate similarly across taxa and ecosystems. These similarities are formalized into a conceptual model relating habitat use to surface water phenology. Whereas all necessary life history functions (spawning, foraging, refuge, and dispersal) can be accomplished in temporary habitats, the timing, duration, and predictability of water act as a “life history filter” to which habitats can be used and for what purpose. Habitats wet from minutes to months may all be important—albeit in different ways, for different species. If life history needs co-occur with accessibility, temporary habitats can contribute substantially to individual fitness, overall production and important metapopulation processes. This heuristic is intended to promote research, recognition and conservation of these frequently overlooked habitats that can be disproportionately important relative to their size or brevity of existence. There is a pressing need to quantify how use of temporary aquatic habitats translates to individual fitness benefits, population size and temporal stability, and ecosystem-level consequences. Temporary aquatic habitats are being impacted at an alarming rate by anthropogenic activities altering their existence, phenology, and connectivity. It is timely that scientists, managers and policymakers consider the role these habitats play in global fish production.

","language":"English","publisher":"Wiley","doi":"10.1111/faf.12386","usgsCitation":"Heim, K., Falke, J.A., McMahon, T., Wipfli, M.S., and Calle, L., 2019, A general model of temporary aquatic habitat use: Water phenology as a life history filter: Fish and Fisheries, v. 20, no. 4, p. 802-816, https://doi.org/10.1111/faf.12386.","productDescription":"15 p.","startPage":"802","endPage":"816","ipdsId":"IP-101686","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":388228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Heim, Kurt C.","contributorId":264533,"corporation":false,"usgs":false,"family":"Heim","given":"Kurt C.","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":821645,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":821644,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McMahon, Thomas E.","contributorId":264534,"corporation":false,"usgs":false,"family":"McMahon","given":"Thomas E.","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":821646,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":821643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Calle, Leonardo","contributorId":264535,"corporation":false,"usgs":false,"family":"Calle","given":"Leonardo","email":"","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":821647,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70219147,"text":"70219147 - 2019 - Amphibian conservation in the Anthropocene","interactions":[],"lastModifiedDate":"2021-03-25T12:39:44.947041","indexId":"70219147","displayToPublicDate":"2019-06-13T07:28:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Amphibian conservation in the Anthropocene","docAbstract":"

Research is necessary to identify patterns in nature, to understand how a system functions, and to make predictions about the future state of an ecosystem. Applied research in conservation biology can identify effective strategies to maintain biodiversity, though many papers end with the conclusion that more research is needed. However, more research does not necessarily lead to solutions. We use the ongoing global decline of amphibians as a salient example to highlight limitations in current conservation research, and to focus on finding solutions which are directly relevant for conservation. While research has been conducted since declines were first detected in the 1990s, outside a few specific examples, little progress in conservation has been achieved. We suggest that the case of amphibian declines is relevant to conservation science in general, as the current paradigm for conservation is that management is planned after research is completed; research and management are not effectively (and not directly) connected. This disconnect illustrates the knowledge-action divide which has been identified as a serious deficiency in conservation. Accordingly, we use this introductory paper to the Special Issue (Amphibian conservation in the Anthropocene: Progress and challenges) to describe amphibians as a conservation dilemma, and to make the case for a different, more pragmatic, and more solutions-focused view of conservation research.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2019.03.003","usgsCitation":"Campbell Grant, E.H., Muths, E.L., Schmidt, B.R., and Petrovan, S., 2019, Amphibian conservation in the Anthropocene: Biological Conservation, v. 236, p. 543-547, https://doi.org/10.1016/j.biocon.2019.03.003.","productDescription":"5 p.","startPage":"543","endPage":"547","ipdsId":"IP-103055","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":384661,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas, Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.5361328125,\n 35.02999636902566\n ],\n [\n -95.0537109375,\n 35.02999636902566\n ],\n [\n -95.0537109375,\n 37.85750715625203\n ],\n [\n -99.5361328125,\n 37.85750715625203\n ],\n [\n -99.5361328125,\n 35.02999636902566\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"236","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":812929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":812930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Benedikt R.","contributorId":256646,"corporation":false,"usgs":false,"family":"Schmidt","given":"Benedikt","email":"","middleInitial":"R.","affiliations":[{"id":51821,"text":"Department of Evolutionary Biology and Environmental Studies University of Zurich Winterthurerstrasse 1908057 Zurich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":812931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petrovan, Silviu","contributorId":256647,"corporation":false,"usgs":false,"family":"Petrovan","given":"Silviu","affiliations":[{"id":51824,"text":"Conservation Science Group, Department of Zoology, University of Cambridge The David Attenborough Building, Cambridge CB2 3QZ, UK","active":true,"usgs":false}],"preferred":false,"id":812932,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203816,"text":"70203816 - 2019 - Data Report: Permeability, porosity, and frictional strength of core samples from IODP Expedition 366 in the Mariana forearc","interactions":[],"lastModifiedDate":"2019-06-20T13:50:34","indexId":"70203816","displayToPublicDate":"2019-06-12T13:46:59","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Data Report: Permeability, porosity, and frictional strength of core samples from IODP Expedition 366 in the Mariana forearc","docAbstract":"Core samples from the International Ocean Discovery Program (IODP) Expedition 366 were tested in the laboratory to determine permeability, porosity, density, and frictional strength and their relation to mineralogy as part of an effort to understand hydro-mechanical processes at convergent plate margins. Seven samples were tested from a depth range of 19.6 to 197.9 m below the sea floor. The samples were derived from three serpentinite mud volcanoes in the Mariana forearc region, formed where slab-derived fluids and materials ascend along faults. The physical characteristics mirror compositional differences between predominantly serpentine-rich and saponite-rich samples. Permeability values ranged from 10-17 to 10-19 m2, low enough to facilitate the formation of high fluid pressures, which have been observed in the Mariana and other subduction megathrust environments. Porosities ranged from 0.37 to 0.51 and densities from 1.66 to 2.01 gm/cc. Serpentine-rich samples have coefficients of friction of 0.2 to 0.4, consistent with crustal serpentinite from a variety of fault zones, whereas saponite-rich samples have friction values below 0.2, consistent with saponite fault gouge from the San Andreas Fault Zone at Depth (SAFOD) drillhole in California.","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the International Ocean Discovery Program","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"language":"English","publisher":"IODP","doi":"10.14379/iodp.proc.366.202.2019","usgsCitation":"Morrow, C.A., Moore, D.E., Lockner, D.A., and Bekins, B.A., 2019, Data Report: Permeability, porosity, and frictional strength of core samples from IODP Expedition 366 in the Mariana forearc, chap. of Proceedings of the International Ocean Discovery Program, v. 366, 14 p., https://doi.org/10.14379/iodp.proc.366.202.2019.","productDescription":"14 p.","ipdsId":"IP-099800","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"links":[{"id":467536,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14379/iodp.proc.366.202.2019","text":"Publisher Index Page"},{"id":364843,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364684,"type":{"id":15,"text":"Index Page"},"url":"https://publications.iodp.org/proceedings/366/202/366_202.html"}],"volume":"366","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Morrow, Carolyn A. 0000-0003-3500-6181 cmorrow@usgs.gov","orcid":"https://orcid.org/0000-0003-3500-6181","contributorId":3206,"corporation":false,"usgs":true,"family":"Morrow","given":"Carolyn","email":"cmorrow@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":764249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Diane E. 0000-0002-8641-1075 dmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-8641-1075","contributorId":2704,"corporation":false,"usgs":true,"family":"Moore","given":"Diane","email":"dmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":764250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lockner, David A. 0000-0001-8630-6833 dlockner@usgs.gov","orcid":"https://orcid.org/0000-0001-8630-6833","contributorId":567,"corporation":false,"usgs":true,"family":"Lockner","given":"David","email":"dlockner@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":764251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":764252,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70204763,"text":"70204763 - 2019 - Climate and disturbance influence self-sustaining stand dynamics of aspen (Populus tremuloides) near its range margin","interactions":[],"lastModifiedDate":"2019-09-16T12:34:31","indexId":"70204763","displayToPublicDate":"2019-06-12T10:25:43","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Climate and disturbance influence self-sustaining stand dynamics of aspen (Populus tremuloides) near its range margin","docAbstract":"Species that are primarily seral may form stable (self-sustaining) communities under certain disturbance regimes or environmental conditions, yet such populations may also be particularly vulnerable to ecological change. Aspen (Populus spp.) are generally considered seral throughout the northern hemisphere, including P. tremuloides, the most widely distributed tree species in North America. Recent declines in aspen populations have occurred, especially along drought-sensitive margins of its range and where fire exclusion and herbivory have promoted community transition. However, aspen also forms stable stands, and examination of the mechanisms that influence persistence can offer conservation insights, especially where populations are vulnerable to changing climate or altered disturbance dynamics. We sampled tree age and stand characteristics of isolated aspen forests in the arid Great Basin (USA) to determine if: (1) aspen communities are more fire-dependent and seral or fire-independent and stable; (2) ungulate browsing inhibits aspen stability; and (3) temporal patterns of vegetative reproduction (i.e., ramet establishment or “suckering”) are correlated with climate. Aspen size and age class densities strongly fit negative exponential distributions, whether grouped geographically or by functional type, suggesting landscape-scale persistence. Continuous age distributions and high proportions of recruitment-sized to overstory trees suggest stability at stand-scales, with exceptions including stands with higher browsing pressure. Few stands had evidence of fire, and relationships between dead tree size and variability in live tree size suggest a lack of fire-dependency. Several five-year averaged climate variables and one sea surface temperature index were correlated with aspen ramet establishment densities over time, with strongest relationships occurring ~5 years prior to establishment year, often followed by inverse relationships ~1 year after. Indeed, aspen establishment density for a recent 41-year period was reliably reconstructed using antecedent climate conditions derived from a single drought index. Temporally synchronized aspen ramet establishment across the study region may be due to climate-driven storage of nonstructural carbohydrate reserves in clonal root systems later used for regeneration. Complex regeneration dynamics of these self-sustaining aspen stands, especially sensitivity to climate variability, suggest they may serve as harbingers of ecological change in the arid Great Basin and in other aspen populations near their range margin.","language":"English","publisher":"Wiley","doi":"10.1002/eap.1948","usgsCitation":"Shinneman, D.J., and McIlroy, S., 2019, Climate and disturbance influence self-sustaining stand dynamics of aspen (Populus tremuloides) near its range margin: Ecological Applications, v. 29, no. 6, e01948, 15 p., https://doi.org/10.1002/eap.1948.","productDescription":"e01948, 15 p.","ipdsId":"IP-102692","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":437422,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7HX1BM5","text":"USGS data release","linkHelpText":"Northern Nevada aspen (Populus tremuloides) data (2010-2011) (ver. 2.0, January 2024)"},{"id":366564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Shinneman, Douglas J. 0000-0002-4909-5181 dshinneman@usgs.gov","orcid":"https://orcid.org/0000-0002-4909-5181","contributorId":147745,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas","email":"dshinneman@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":768376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McIlroy, Susan K. 0000-0001-5088-3700 smcilroy@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-3700","contributorId":169446,"corporation":false,"usgs":true,"family":"McIlroy","given":"Susan","email":"smcilroy@usgs.gov","middleInitial":"K.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":768377,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70198478,"text":"70198478 - 2019 - Evaluating mechanisms of plant‐mediated effects on herbivore persistence and occupancy across an ecoregion","interactions":[],"lastModifiedDate":"2020-05-27T15:24:46.382467","indexId":"70198478","displayToPublicDate":"2019-06-12T10:18:25","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating mechanisms of plant‐mediated effects on herbivore persistence and occupancy across an ecoregion","docAbstract":"

Contemporary climate change is rapidly creating one of the greatest challenges for management and conservation during the 21st century. Mountain ecosystems, which have a high degree of spatial heterogeneity and contain numerous habitat specialists, have been identified as particularly vulnerable. We used data from multiple years across sites spanning a >40 million ha ecoregion to test hypotheses regarding how community‐level characteristics of vegetation may affect a mammalian generalist herbivore, the American pika (Ochotona princeps ). We examined patterns of pika persistence across sites in the hydrographic Great Basin, and occupancy within a subset of these sites. We used mixed‐effects logistic regression models to compare evidence in support of competing explanations for each pattern within an information–theoretic framework (using Akaike's information criterion). Models reflected four hypothesized classes of mechanisms related to nutritional ecology, ecosystem function, indirect indication of climatic effects, and (synergistic) combinations of these three classes. At the site level, models reflecting synergistic effects received the most support. At the within‐site level, support appeared to be split equally among hypotheses containing predictors related to either nutritional ecology or indirect climate effects. Well‐supported predictors included cover of invasive plant species, cover of more‐xeric plant species, species evenness, and proportion of graminoid species. Our results both (1) identify important aspects of vegetation communities that may influence herbivore distribution in mountainous areas across a large, diverse geographic region, and (2) contribute to an improved understanding of how mountain ecosystems may be affected by ongoing climate change, more broadly.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2764","usgsCitation":"Wilkening, J.L., Cole, E.J., and Beever, E., 2019, Evaluating mechanisms of plant‐mediated effects on herbivore persistence and occupancy across an ecoregion: Ecosphere, v. 10, no. 6, e02764, 19 p., https://doi.org/10.1002/ecs2.2764.","productDescription":"e02764, 19 p.","ipdsId":"IP-094589","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":467537,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2764","text":"Publisher Index Page"},{"id":375082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Idaho, Nevada, Oregon, Utah, Wyoming","otherGeospatial":"Great Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.01513671875,\n 36.82687474287728\n ],\n [\n -112.67578124999999,\n 37.70120736474139\n ],\n [\n -112.06054687499999,\n 40.26276066437183\n ],\n [\n -112.32421875,\n 41.983994270935625\n ],\n [\n -113.04931640625,\n 43.18114705939968\n ],\n [\n -113.37890625,\n 43.50075243569041\n ],\n [\n -114.54345703125,\n 42.293564192170095\n ],\n [\n -115.57617187499999,\n 41.705728515237524\n ],\n [\n -116.3232421875,\n 41.49212083968776\n ],\n [\n -117.59765625,\n 41.27780646738183\n ],\n [\n -117.90527343750001,\n 42.08191667830631\n ],\n [\n -118.36669921875,\n 43.6599240747891\n ],\n [\n -119.02587890624999,\n 44.134913443750726\n ],\n [\n -120.25634765624999,\n 43.91372326852401\n ],\n [\n -121.17919921875001,\n 43.56447158721811\n ],\n [\n -121.06933593749999,\n 41.393294288784865\n ],\n [\n -120.7177734375,\n 40.29628651711716\n ],\n [\n -120.38818359375,\n 39.26628442213066\n ],\n [\n -118.01513671875,\n 36.82687474287728\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilkening, Jennifer L. 0000-0001-8748-4578","orcid":"https://orcid.org/0000-0001-8748-4578","contributorId":127685,"corporation":false,"usgs":false,"family":"Wilkening","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":7111,"text":"U. 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Ecology & Evol.Biol., PhD Student","active":true,"usgs":false}],"preferred":false,"id":741602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cole, Evan J.","contributorId":206741,"corporation":false,"usgs":false,"family":"Cole","given":"Evan","email":"","middleInitial":"J.","affiliations":[{"id":37388,"text":"Dept. of Environmental Science, University of San Francisco","active":true,"usgs":false}],"preferred":false,"id":741603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":147685,"corporation":false,"usgs":true,"family":"Beever","given":"Erik A.","email":"ebeever@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true}],"preferred":true,"id":741601,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205244,"text":"70205244 - 2019 - Refinement of eDNA as an early monitoring tool at the landscape-level: Study design considerations","interactions":[],"lastModifiedDate":"2019-09-10T10:05:40","indexId":"70205244","displayToPublicDate":"2019-06-12T09:56:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Refinement of eDNA as an early monitoring tool at the landscape-level: Study design considerations","docAbstract":"Natural resource managers use data on the spatial range of species to guide management decisions. These data come from survey or monitoring efforts that use a wide variety of tools. Environmental DNA (eDNA) is a surveillance tool that uses genetic markers for detecting species and holds potential as a tool for large-scale monitoring programs. Two challenges of eDNA-based studies are uncertainties created by imperfect capture of eDNA in collection samples (e.g., water field samples) and imperfect detection of eDNA using molecular methods (e.g., quantitative PCR). Occurrence models can be used to address these challenges, thus we use an occurrence model to address two objectives: First, determine how many samples were required to detect species using eDNA; Second, examine when and where to take samples. We collected water samples from three different habitat types in the Upper Mississippi River when both Bighead Carp and Silver Carp were known to be present based on telemetry detections. Each habitat type (backwater, tributary, and impoundment) was sampled during April, May and November. Detections of eDNA for both species varied across sites and months, but were generally low, 0 - 19.3% of samples were positive for eDNA. Overall, we found that eDNA-based sampling holds promise to be a powerful monitoring tool for resource managers, however, limitations of eDNA-based sampling include different biological and ecological characteristics of target species such as seasonal habitat usage patterns as well as aspects of different physical environments that impact the implementation of these methods such as water temperature.","language":"English","publisher":"Wiley","doi":"10.1002/eap.1951","usgsCitation":"Mize, E.L., Erickson, R.A., Merkes, C.M., Berndt, N., Bockrath, K., Credico, J., Grueneis, N., Merry, J., Mosel, K., Tuttle-Lau, M., Von Ruden, K., Amberg, J., Baerwaldt, K., Finney, S., and Monroe, E., 2019, Refinement of eDNA as an early monitoring tool at the landscape-level: Study design considerations: Ecological Applications, v. 29, no. 6, e01951, https://doi.org/10.1002/eap.1951.","productDescription":"e01951","ipdsId":"IP-099527","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences 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island in 1963–1967. Two vertically cored boreholes, to 152 and 192 m below the surface, were drilled using filtered, UV-sterilized seawater circulating fluid to minimize microbial contamination. These cores parallel a 181 m core drilled in 1979. Introductory investigations indicate changes in material properties and whole-rock compositions over the past 38 years. A Surtsey subsurface observatory installed to 181 m in one vertical borehole holds incubation experiments that monitor in situ mineralogical and microbial alteration processes at 25–124 ∘C. A third cored borehole, inclined 55∘ in a 264∘ azimuthal direction to 354 m measured depth, provides further insights into eruption processes, including the presence of a diatreme that extends at least 100 m into the seafloor beneath the Surtur crater. The SUSTAIN project provides the first time-lapse drilling record into a very young oceanic basaltic volcano over a range of temperatures, 25–141 ∘C from 1979 to 2017, and subaerial and submarine hydrothermal fluid compositions. Rigorous procedures undertaken during the drilling operation protected the sensitive environment of the Surtsey Natural Preserve.","language":"English","publisher":"International Continental Scientific Drilling Program (ICDP) and International Ocean Discovery Program (IODP)","doi":"10.5194/sd-25-35-2019","usgsCitation":"Jackson, M., Gudmundsson, M., Weisenberger, T., Rhodes, J., Stefansson, A., Kleine, B., Lippert, P., Marquardt, J., Reynolds, H., Kuck, J., Marteinsson, V., Vannier, P., Bach, W., Barich, A., Bergsten, P., Bryce, J.G., Cappelletti, P., Couper, S., Fahnestock, M., Gorny, C., Grimaldi, C., Groh, M., Gudmundsson, A., Gunnlaugsson, A., Hamlin, C., Hognadottir, T., Jonasson, K., Jonsson, S., Jorgensen, S., Klonowski, A., Marshall, B., McPhie, J., Moore, J.G., Olafsson, E., Onstag, S., Perez, V., Prause, S., Snorasson, S., Türke, A., White, J., and Zimanowski, B., 2019, SUSTAIN drilling at Surtsey volcano, Iceland, tracks hydrothermal and microbiological interactions in 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herbivores","interactions":[],"lastModifiedDate":"2019-10-09T08:04:53","indexId":"70205859","displayToPublicDate":"2019-06-12T08:04:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem scale loss of grazing habitat impacted by abundance of dominant herbivores","docAbstract":"Grazing lawns, patches of grazing tolerant plants with high nutrient value, provide important habitat for herbivores, and changes in abundance can impact herbivore populations. Grazing lawns are maintained in quality and quantity by repeated grazing and are a result of a positive feedback since the availability of grazing lawn can increase herbivore populations and increased herbivore populations can result in an increase in grazing lawn extent. We sampled aerial imagery from a long-term dataset (>20 yrs) at an internationally important breeding area for avian herbivores to model changes in grazing lawn abundance over time and identify the possible factors impacting those changes, including numbers of breeding birds, their primary predator, and spring phenology. Our data suggests that avian herbivores and their predators likely exert strong impacts on plant communities and may drive vegetation abundance. Decreases in the number of herbivore nests in our study coincided with an almost complete lack of grazing lawn in the mid-2000s. Any factors dictating the amount of grazing lawn available for avian herbivores could strongly influence breeding success and the maximum size of these populations. Our results demonstrate the importance of studying complex interactions among predators, herbivores and plants, and population moderation by both bottom-up and top-down processes.","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.2767","usgsCitation":"Uher-Koch, B.D., Schmutz, J.A., Wilson, H.M., Anthony, R., Day, T.L., Fondell, T.F., Person, B.T., and Sedinger, J.S., 2019, Ecosystem scale loss of grazing habitat impacted by abundance of dominant herbivores: Ecosphere, v. 10, no. 6, e02767, https://doi.org/10.1002/ecs2.2767.","productDescription":"e02767","ipdsId":"IP-101279","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":467539,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2767","text":"Publisher Index Page"},{"id":368147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":772645,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":772646,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Heather M.","contributorId":37056,"corporation":false,"usgs":false,"family":"Wilson","given":"Heather","email":"","middleInitial":"M.","affiliations":[{"id":13236,"text":"U.S. Fish and Wildlife Service, Migratory Bird Management","active":true,"usgs":false}],"preferred":false,"id":772647,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anthony, R Michael","contributorId":219603,"corporation":false,"usgs":false,"family":"Anthony","given":"R Michael","affiliations":[{"id":40038,"text":"USGS Alaska Science Center (Retired)","active":true,"usgs":false}],"preferred":false,"id":772648,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Day, Thomas L","contributorId":219604,"corporation":false,"usgs":false,"family":"Day","given":"Thomas","email":"","middleInitial":"L","affiliations":[{"id":12915,"text":"Alaska Pacific University","active":true,"usgs":false}],"preferred":false,"id":772649,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fondell, Thomas F tfondell@usgs.gov","contributorId":219605,"corporation":false,"usgs":false,"family":"Fondell","given":"Thomas","email":"tfondell@usgs.gov","middleInitial":"F","affiliations":[{"id":40039,"text":"USGS Alaska Science Center (Deceased)","active":true,"usgs":false}],"preferred":false,"id":772650,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Person, Brian T.","contributorId":107457,"corporation":false,"usgs":false,"family":"Person","given":"Brian","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":772651,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sedinger, James S.","contributorId":213694,"corporation":false,"usgs":false,"family":"Sedinger","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":772652,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70207038,"text":"70207038 - 2019 - Adaptive harvest management for the Svalbard population of pink‐footed geese: 2019 progress summary","interactions":[],"lastModifiedDate":"2019-12-04T15:55:23","indexId":"70207038","displayToPublicDate":"2019-06-11T15:54:36","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Adaptive harvest management for the Svalbard population of pink‐footed geese: 2019 progress summary","docAbstract":"This report describes an Adaptive Harvest Management (AHM) program designed to maintain the Svalbard population of Pink-footed Geese (Anser brachyrhynchus) near their target level (60,000) by providing sustainable harvests in Norway and Denmark. Specifically, this report provides recent monitoring and assessment results and their implications for the 2019 hunting season.\n\nIn this report we provide results for both the set of nine discrete population models used since 2013 and for a recently developed Integrated Population Model (IPM). Updating model weights (set of nine models) and model parameters (IPM) use the most recent monitoring information available (i.e. through spring 2019). We also compare optimal harvest strategies based on the two modeling approaches. Of growing concern, however, has been the observation that the predictive ability of the original population models has declined over time. Going forward, we suggest that use of the IPM is a superior modeling approach for setting hunting seasons for\nPink-footed Geese.\n\nPopulation sizes in May as estimated by the IPM are in general agreement with counts and capture-markrecapture estimates but are more precise. Estimates of survival from natural causes were relatively constant over time with a mean of 0.93 and estimates of adult kill rate ranged from 0.04 to 0.13. Estimates of countryspecific kill rates suggest that most of the overall increase in kill rate in recent years is attributed to increasing harvest pressure in Denmark. With respect to productivity, the IPM produced estimates of preseason age ratio that were variable over time, but on average suggested that young constituted about 18% of the population just\nprior to the hunting season. Estimates of the preseason age ratio correlated well with the number of days above freezing in May in Svalbard. Our results suggest that population size has stabilized because of declining survival rates that have accompanied an increase in kill rates. Adoption of the IPM this year would result in a harvest quota for the 2019 hunting season of 22,000, based on a May population estimate of 76,500 (95% CI: 66,800 – 86,600) and 8 days above freezing in Svalbard. Using the agreed upon allocation of the total allowable\nharvest, the quotas are 6,600 for Norway and 15,400 for Denmark. Assuming the total quota is met, the IPM predicts a population size in May 2020 of 64,900 (95% CI: 50,300 – 83,700).\n\nWe note that the updated set of original models used since 2013 suggests an allowable harvest of 40,000 in 2019 based on a November 2018 count of 91,900 geese (comprised of 12,900 young and 79,000 adults). We are skeptical of this large quota, however. Using all available demographic data suggests that the November 2018 population size was lower than that indicated by the count and that the winter population experienced more natural mortality than expected. These insights demonstrate the inherent risk of basing a harvest quota\non a single population count, irrespective of other demographic data.","language":"English","publisher":"AEWA European Goose Management International Working Group","collaboration":"Aarhus University, Denmark","usgsCitation":"Johnson, F., Heldbjerg, H., Clausen, K.K., and Madsen, J., 2019, Adaptive harvest management for the Svalbard population of pink‐footed geese: 2019 progress summary, 19 p.","productDescription":"19 p.","ipdsId":"IP-108881","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":369923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":369893,"type":{"id":11,"text":"Document"},"url":"https://egmp.aewa.info/sites/default/files/meeting_files/documents/AEWA_EGM_IWG_4_7_PFG_AHM%20update.pdf"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Fred 0000-0002-5854-3695","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":221013,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":776594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heldbjerg, Henning","contributorId":174479,"corporation":false,"usgs":false,"family":"Heldbjerg","given":"Henning","email":"","affiliations":[],"preferred":false,"id":776595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clausen, Kevin K.","contributorId":174355,"corporation":false,"usgs":false,"family":"Clausen","given":"Kevin","email":"","middleInitial":"K.","affiliations":[{"id":13419,"text":"Aarhus University, Denmark","active":true,"usgs":false}],"preferred":false,"id":776596,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Madsen, Jesper","contributorId":178168,"corporation":false,"usgs":false,"family":"Madsen","given":"Jesper","email":"","affiliations":[],"preferred":false,"id":776597,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}