{"pageNumber":"721","pageRowStart":"18000","pageSize":"25","recordCount":165326,"records":[{"id":70203560,"text":"70203560 - 2019 - GRACE storage change characteristics (2003–2016) over major surface basins and principal aquifers in the Conterminous United States","interactions":[],"lastModifiedDate":"2019-05-22T16:29:42","indexId":"70203560","displayToPublicDate":"2019-04-18T16:19:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"GRACE storage change characteristics (2003–2016) over major surface basins and principal aquifers in the Conterminous United States","docAbstract":"In this research, we characterized the changes in Gravity Recovery and Climate Experiment’s (GRACE) monthly total water storage anomaly (TWSA) in 18 surface basins and 12 principal aquifers in the Conterminous United States (CONUS) over 2003–2016. Regions with high variability in storage were identified. Ten basins and 4 aquifers showed significant change in storage. Eight surface basins and 8 aquifers were found to show decadal stability in storage. A pixel-based analysis of storage showed that New England basin and North Atlantic Coastal Plain aquifer showed the largest area under positive storage change. Whereas, the Lower Colorado basin and California aquifers showed largest area under negative change. This study found that historically wetter regions (with more storage) are becoming wetter and dryer regions (with less storage) are becoming dryer. Fourier analysis of the GRACE data showed that while all basins exhibited prominent annual periodicities, significant sub-annual and multi-annual cycles also exist in some basins. The storage turnover period was estimated to range between 6 to 12 months. The primary explanatory variable (PEV) of TWSA was identified for each region. This study provides new insights on several aspects of basin or aquifer storage that are important for understanding basin/aquifer hydrology.","language":"English","publisher":"MDPI","doi":"10.3390/rs11080936","usgsCitation":"Velpuri, N.M., Senay, G., Driscoll, J.M., Saxe, S., Hay, L., Farmer, W.H., and Kiang, J.E., 2019, GRACE storage change characteristics (2003–2016) over major surface basins and principal aquifers in the Conterminous United States: Remote Sensing, v. 936, no. 11, p. 1-22, https://doi.org/10.3390/rs11080936.","productDescription":"22 p.","startPage":"1","endPage":"22","ipdsId":"IP-104603","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":467686,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs11080936","text":"Publisher Index Page"},{"id":364103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364091,"type":{"id":15,"text":"Index Page"},"url":"https://www.mdpi.com/2072-4292/11/8/936"}],"country":"United States","volume":"936","issue":"11","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926 nvelpuri@usgs.gov","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":166813,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga","email":"nvelpuri@usgs.gov","middleInitial":"Manohar","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":763152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":763153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Driscoll, Jessica M. 0000-0003-3097-9603 jdriscoll@usgs.gov","orcid":"https://orcid.org/0000-0003-3097-9603","contributorId":167585,"corporation":false,"usgs":true,"family":"Driscoll","given":"Jessica","email":"jdriscoll@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":763154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saxe, Samuel 0000-0003-1151-8908","orcid":"https://orcid.org/0000-0003-1151-8908","contributorId":215753,"corporation":false,"usgs":true,"family":"Saxe","given":"Samuel","email":"","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":763155,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hay, Lauren E. 0000-0003-3763-4595","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":211478,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":763156,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Farmer, William H. 0000-0002-2865-2196 wfarmer@usgs.gov","orcid":"https://orcid.org/0000-0002-2865-2196","contributorId":4374,"corporation":false,"usgs":true,"family":"Farmer","given":"William","email":"wfarmer@usgs.gov","middleInitial":"H.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":763157,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":763158,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70202394,"text":"fs20193008 - 2019 - Landsat 9","interactions":[],"lastModifiedDate":"2022-08-03T22:06:00.386184","indexId":"fs20193008","displayToPublicDate":"2019-04-18T14:47:27","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":"2019-3008","displayTitle":"Landsat 9","title":"Landsat 9","docAbstract":"

Landsat 9 is a partnership between the National Aeronautics and Space Administration and the U.S. Geological Survey that will continue the Landsat program’s critical role of repeat global observations for monitoring, understanding, and managing Earth’s natural resources. Since 1972, Landsat data have provided a unique resource for those who work in agriculture, geology, forestry, regional planning, education, mapping, and global-change research. Landsat images have also proved invaluable to the International Charter: Space and Major Disasters, supporting emergency response and disaster relief to save lives. With the addition of Landsat 9, the Landsat program’s record of land imaging will be extended to over half a century.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193008","usgsCitation":"U.S. Geological Survey, 2019, Landsat 9 (ver. 1.3, August 2022): U.S. Geological Survey Fact Sheet 2019–3008, 2 p., https://doi.org/10.3133/fs20193008.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-102185","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":363027,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3008/coverthb4.jpg"},{"id":404567,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3008/fs20193008.pdf","text":"Report","size":"2.17 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3008"},{"id":404568,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2019/3008/versionHist.txt","text":"Version History","size":"8.43 kB","linkFileType":{"id":2,"text":"txt"},"description":"Version History"}],"edition":"Version 1.0: April 18, 2019; Version 1.1: May 1, 2019; Version 1.2: April 8, 2020; Version 1.3: August 3, 2022","contact":"

Earth Resources Observation and Science (EROS) Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2019-04-18","revisedDate":"2022-08-03","noUsgsAuthors":false,"publicationDate":"2019-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":202815,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":758168,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70200529,"text":"sir20185139 - 2019 - Use of a Numerical Model to Simulate the Hydrologic System and Transport of Contaminants Near Joint Base Cape Cod, Western Cape Cod, Massachusetts","interactions":[],"lastModifiedDate":"2019-04-19T16:03:43","indexId":"sir20185139","displayToPublicDate":"2019-04-18T13:30:00","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":"2018-5139","displayTitle":"Use of a Numerical Model to Simulate the Hydrologic System and Transport of Contaminants Near Joint Base Cape Cod, Western Cape Cod, Massachusetts","title":"Use of a Numerical Model to Simulate the Hydrologic System and Transport of Contaminants Near Joint Base Cape Cod, Western Cape Cod, Massachusetts","docAbstract":"

Historical training and operational activities at Joint Base Cape Cod (JBCC) on western Cape Cod, Massachusetts, have resulted in the release of contaminants into an underlying glacial aquifer that is the sole source of water to the surrounding communities. Remedial systems have been installed to contain and remove contamination from the aquifer. Groundwater withdrawals for public supply are expected to increase as the region continues to urbanize. Increases in water-supply withdrawals and wastewater return flow likely will affect the hydrologic system around JBCC and could affect the transport of any contamination that may remain in the aquifer following remediation of contamination from the JBCC. The U.S. Geological Survey, in cooperation with the Air Force Civil Engineer Center, developed a numerical, steady-state regional model of the Sagamore flow lens on western Cape Cod and evaluated the potential effects of future (2030) groundwater withdrawals on water levels, streamflows, hydraulic gradients, and advective transport near the JBCC.

The aquifer consists generally of sandy sediments underlain by impermeable bedrock and is bounded laterally by a freshwater/saltwater interface. Data on the altitude of the bedrock surface, position of the freshwater/saltwater interface, lithology of the aquifer, spatial distribution of recharge, and hydrologic boundaries were incorporated into the three-dimensional, finite-difference groundwater flow model.

Some inputs into the numerical model—aquifer properties, leakances, and recharge—are represented as parameters to facilitate estimation of optimal parameter values in an inverse calibration. A hybrid parameterization scheme, with both zones of piecewise constancy and pilot points, is used to represent hydraulic conductivity; other adjustable parameters include recharge, boundary leakance, and porosity. Data on water levels, the distribution of subsurface contamination, and groundwater ages were compiled, evaluated, and used to develop observations of long-term average hydraulic gradients and advective-transport patterns. These observations of steady-state hydrologic conditions were combined with the parameterized groundwater model in an inverse calibration to estimate model parameters that best fit the observations.

Current (2010) and future (2030) conditions were simulated in the calibrated model to characterize the groundwater flow system and to determine potential effects of increased groundwater withdrawals on advective-transport patterns at the JBCC. Groundwater flow and advective transport are radially outward from a water-table divide in the northern part of the JBCC; flow diverges from the divide toward all points of the compass. Most groundwater flow and contaminant transport occur in shallow parts of the aquifer. On average, about one-half of the groundwater flux occurs in the shallowest 20 percent of the saturated thickness; shallow flow is even more predominant near streams and lakes. Projected (2030) increases in groundwater withdrawals decrease water levels by a maximum of about 1.2 feet in the northern part of the JBCC; drawdowns exceeding 1 foot generally are limited to areas near the largest increases in withdrawals, such as in the northern part of the JBCC, near Long Pond in Falmouth, and in eastern Barnstable. Streamflow decreases average about 6 percent; the largest decreases are in areas with the largest drawdowns. Changes in hydraulic-gradient directions at the water table exceed 1 degree in about 13 percent of the aquifer, generally near groundwater divides where gradient magnitudes are small and near large groundwater withdrawals. Predictions of advective transport from randomly selected locations at the water table are similar for current (2010) and future (2030) groundwater withdrawals. The results indicate that projected increases in groundwater withdrawals affect water levels and streamflows, but effects on hydraulic gradients and advective transport at the JBCC likely are small.

Several underlying assumptions inherent in the model, including observations and weights used in the calibration, representation of local-scale heterogeneity, and simulation of the freshwater/saltwater interface, could affect model calibration and predictions; these assumptions were evaluated with alternative models and alternative inverse calibrations. Eight alternative calibrations were performed in which different, but reasonable, observations and weights were used. The preferred calibrated model had the best overall fit to the observations.

Fine-grained silty sediments occur in many parts of the aquifer, and silt lenses can locally affect hydraulic gradients. A set of alternative models in which silts were represented with different correlation distances and hydraulic conductivities indicated that explicitly representing silt lenses could affect model calibration but that the implicit representation of local-scale heterogeneity may be sufficient at the regional scale to represent regional-scale hydraulic gradients. For the coastal boundary, two alternative models representing silty and sandy seabeds and their associated interface positions were developed to test the importance of the assumed coastal-boundary condition. The two alternative models resulted in different predictions of streamflow—streamflows increase with smaller (silty) seabed leakances. However, predictions of advective transport, particularly near the JBCC, generally were similar between the alternative and preferred calibrated models, indicating that the seabed leakance and associated interface position at the coastal boundary does not affect simulations of advective transport in inland parts of the aquifer.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185139","collaboration":"Prepared in cooperation with the Air Force Civil Engineer Center","usgsCitation":"Walter, D.A., McCobb, T.D., and Fienen, M.N., 2019, Use of a numerical model to simulate the hydrologic system and transport of contaminants near Joint Base Cape Cod, western Cape Cod, Massachusetts: U.S. Geological Survey Scientific Investigations Report 2018–5139, 98 p., https://doi.org/10.3133/sir20185139.","productDescription":"Report: xi, 98 p.; Data Release","numberOfPages":"114","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-077209","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":362939,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77P8XCT ","text":"USGS data release ","description":"USGS data release ","linkHelpText":"MODFLOW–2005 and MODPATH Used to Simulate the Hydrologic System and Transport of Contaminants Near Joint Base Cape Cod, Western Cape Cod, Massachusetts"},{"id":437495,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77P8XCT","text":"USGS data release","linkHelpText":"MODFLOW2005 and MODPATH used to simulate the hydrologic system and transport contaminants near Joint Base Cape Cod, Western Cape Cod, Massachusetts"},{"id":362937,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5139/coverthb2.jpg"},{"id":362938,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5139/sir20185139.pdf","text":"Report","size":"43.8 MB ","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5139"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.026611328125,\n 41.21172151054787\n ],\n [\n -69.840087890625,\n 41.21172151054787\n ],\n [\n -69.840087890625,\n 42.21224516288584\n ],\n [\n -71.026611328125,\n 42.21224516288584\n ],\n [\n -71.026611328125,\n 41.21172151054787\n ]\n ]\n ]\n }\n }\n ]\n}","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":"2019-04-18","noUsgsAuthors":false,"publicationDate":"2019-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Walter, Donald A. 0000-0003-0879-4477 dawalter@usgs.gov","orcid":"https://orcid.org/0000-0003-0879-4477","contributorId":1101,"corporation":false,"usgs":true,"family":"Walter","given":"Donald","email":"dawalter@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":749376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCobb, Timothy D. 0000-0003-1533-847X","orcid":"https://orcid.org/0000-0003-1533-847X","contributorId":209977,"corporation":false,"usgs":true,"family":"McCobb","given":"Timothy D.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":749377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":105948,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":749378,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202511,"text":"sir20195014 - 2019 - Groundwater-Level Elevations in the Denver Basin Bedrock Aquifers of Elbert County, Colorado, 2015–18","interactions":[],"lastModifiedDate":"2019-04-19T14:04:15","indexId":"sir20195014","displayToPublicDate":"2019-04-18T12:40:00","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":"2019-5014","title":"Groundwater-Level Elevations in the Denver Basin Bedrock Aquifers of Elbert County, Colorado, 2015–18","docAbstract":"

Public and domestic water supplies in Elbert County, Colorado, rely on groundwater withdrawals from five bedrock aquifers in the Denver Basin aquifer system (lower Dawson, upper Dawson, Denver, Arapahoe, and Laramie-Fox Hills) to meet water demands. Increased pumping in response to regional population growth and development has led to declining groundwater levels in neighboring Douglas County. The U.S. Geological Survey, in cooperation with the Elbert County Board of County Commissioners, began a study in 2015 to monitor groundwater levels within Elbert County. The purpose of this study is to report on groundwater levels measured between April 2015 and June 2018, and analyze trends and changes in groundwater-level elevations throughout the county.

Discrete groundwater levels were measured at 42 wells within Elbert County. Six of those wells contained equipment to make and record continuous groundwater-level measurements at hourly intervals. All five aquifers had wells with a rise in groundwater-level elevation and wells with a decline in groundwater-level elevation, based on a relative change in groundwater-level elevation between the April 2015 and April 2018 measurements. All aquifers except the upper Dawson had more wells with significant negative trends in discrete groundwater-level elevations than significant positive trends; however, at least one well within the upper Dawson, lower Dawson, Arapahoe, and Laramie-Fox Hills aquifers had a significant positive trend. Wells screened in the lower Dawson aquifer consistently had the most significant negative trends, with an average trend of −1.96 feet per year (ft/year). The upper Dawson, Denver, Arapahoe, and Laramie-Fox Hills aquifers had average trends of 0.03 ft/year, −1.04 ft/year, −0.46 ft/year, and −0.65 ft/year, respectively. Trends in continuous groundwater-level elevations were in agreement with significant trends in discrete groundwater-level elevations. Potentiometric-surface maps of the upper and lower Dawson aquifers for April 2015 and April 2018 show that differences in hydraulic head from the two measurement periods were greatest along the western part of Elbert County. Results of this study could guide future groundwater monitoring in the county and aid in long-term planning of water resources.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195014","collaboration":"Prepared in cooperation with the Elbert County Board of County Commissioners","usgsCitation":"Penn, C.A., and Everett, R.R., 2019, Groundwater-level elevations in the Denver Basin bedrock aquifers of Elbert County, Colorado, 2015–18: U.S. Geological Survey Scientific Investigations Report 2019–5014, 50 p., \nhttps://doi.org/10.3133/sir20195014.","productDescription":"viii, 50 p.","numberOfPages":"62","onlineOnly":"Y","ipdsId":"IP-100822","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":363023,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5014/coverthb.jpg"},{"id":363024,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5014/sir20195014.pdf","text":"Report","size":"11.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5014"}],"country":"United States","state":"Colorado","county":"Elbert County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-103.7126,39.5649],[-103.713,39.4761],[-103.7135,39.3876],[-103.7138,39.3011],[-103.7136,39.2136],[-103.7145,39.1265],[-103.7211,39.1266],[-103.722,39.0401],[-103.7201,38.9503],[-103.7186,38.8655],[-103.8315,38.867],[-103.9414,38.8666],[-104.0549,38.8666],[-104.0544,38.9528],[-104.0538,39.0407],[-104.0521,39.1264],[-104.166,39.1277],[-104.2733,39.1278],[-104.3854,39.1284],[-104.4958,39.1298],[-104.6072,39.1307],[-104.6642,39.1308],[-104.6638,39.2165],[-104.664,39.3026],[-104.663,39.3892],[-104.6626,39.4762],[-104.6627,39.5665],[-104.6054,39.5663],[-104.5374,39.5655],[-104.4927,39.5636],[-104.4891,39.5636],[-104.4742,39.5629],[-104.3841,39.5627],[-104.3763,39.5631],[-104.2695,39.5639],[-104.2647,39.5638],[-104.1602,39.5646],[-104.1543,39.565],[-104.0468,39.5652],[-104.0427,39.5651],[-103.9305,39.5646],[-103.9293,39.5646],[-103.8189,39.5646],[-103.8129,39.5649],[-103.7126,39.5649]]]},\"properties\":{\"name\":\"Elbert\",\"state\":\"CO\"}}]}","contact":"

Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS 415
Denver, CO 80225

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2019-04-18","noUsgsAuthors":false,"publicationDate":"2019-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Penn, Colin A. 0000-0002-5195-2744 cpenn@usgs.gov","orcid":"https://orcid.org/0000-0002-5195-2744","contributorId":5336,"corporation":false,"usgs":true,"family":"Penn","given":"Colin","email":"cpenn@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Everett, Rhett R. 0000-0001-7983-6270 reverett@usgs.gov","orcid":"https://orcid.org/0000-0001-7983-6270","contributorId":843,"corporation":false,"usgs":true,"family":"Everett","given":"Rhett R.","email":"reverett@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":761089,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203345,"text":"70203345 - 2019 - Strontium isotopes reveal ephemeral streams used for spawning and rearing by an imperiled potamodromous cyprinid--Clear Lake hitch Lavinia exilicauda chi","interactions":[],"lastModifiedDate":"2019-05-07T09:20:47","indexId":"70203345","displayToPublicDate":"2019-04-18T09:15:10","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2681,"text":"Marine and Freshwater Research","active":true,"publicationSubtype":{"id":10}},"title":"Strontium isotopes reveal ephemeral streams used for spawning and rearing by an imperiled potamodromous cyprinid--Clear Lake hitch Lavinia exilicauda chi","docAbstract":"

Identification of habitats responsible for the successful production and recruitment of rare migratory species is a challenge in conservation biology. Here, a tool was developed to assess life stage linkages for the threatened potamodromous cyprinid Clear Lake hitch Lavinia exilicauda chi. Clear Lake hitch undertake migrations from Clear Lake (Lake County, CA, USA) into ephemeral tributary streams for spawning. An aqueous isoscape of strontium isotopic ratios (87Sr/86Sr) was constructed for Clear Lake and its watershed to trace natal origins and migration histories of adult recruits. Aqueous 87Sr/86Sr differentiated Clear Lake from 8 of 10 key tributaries and clustered into 5 strontium isotope groups (SIGs) with 100% classification success. Otolith 87Sr/86Sr showed all five groups contributed variably to the population. The age at which juveniles migrated from natal streams to Clear Lake ranged from 11 to 152 days (mean ± s.d., 43 ± 34 days) and was positively associated with the permanency of natal habitat. This information can be used by resource managers to develop conservation actions for Clear Lake hitch. This study demonstrates the utility of strontium isotopes in otoliths as a tool to identify important freshwater habitats occupied over the lifespan of an individual that would otherwise be challenging or impossible to trace with other methods.

","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/MF18264","usgsCitation":"Feyrer, F.V., Whitman, G., Young, M.J., and Johnson, R.C., 2019, Strontium isotopes reveal ephemeral streams used for spawning and rearing by an imperiled potamodromous cyprinid--Clear Lake hitch Lavinia exilicauda chi: Marine and Freshwater Research, 9 p., https://doi.org/10.1071/MF18264.","productDescription":"9 p.","ipdsId":"IP-103275","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":467689,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/mf18264","text":"Publisher Index Page"},{"id":363548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363544,"type":{"id":15,"text":"Index Page"},"url":"https://www.publish.csiro.au/mf/MF18264"}],"country":"United States","state":"California","county":"Lake County","otherGeospatial":"Clear 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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":178379,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762242,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitman, George","contributorId":215401,"corporation":false,"usgs":false,"family":"Whitman","given":"George","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":762243,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Matthew J. 0000-0001-9306-6866 mjyoung@usgs.gov","orcid":"https://orcid.org/0000-0001-9306-6866","contributorId":206255,"corporation":false,"usgs":true,"family":"Young","given":"Matthew","email":"mjyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762244,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Rachel C.","contributorId":196877,"corporation":false,"usgs":false,"family":"Johnson","given":"Rachel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":762245,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216745,"text":"70216745 - 2019 - Birth and evolution of the Virgin River fluvial system: ∼1 km of post–5 Ma uplift of the western Colorado Plateau","interactions":[],"lastModifiedDate":"2020-12-04T00:27:42.394548","indexId":"70216745","displayToPublicDate":"2019-04-17T18:15:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Birth and evolution of the Virgin River fluvial system: ∼1 km of post–5 Ma uplift of the western Colorado Plateau","docAbstract":"

The uplift history of the Colorado Plateau has been debated for over a century with still no unified hypotheses for the cause, timing, and rate of uplift. 40Ar/39Ar and K/Ar dating of recurrent basaltic volcanism over the past ∼6 Ma within the Virgin River drainage system, southwest Utah, northwest Arizona, and southern Nevada, provides a way to reconstruct paleoprofiles and quantify differential river incision across the boundary faults of the Colorado Plateau–Basin and Range boundary. We compare differential incision data with patterns of channel steepness, bedrock erodibility, basaltic migration, and mantle velocity structure to understand the birth and evolution of the Virgin River system.

New detrital sanidine ages constrain the arrival of the Virgin River across the Virgin Mountains to less than 5.9 Ma. Virgin River incision rates and amounts show an eastward stair-step increase in bedrock incision across multiple N-S–trending normal faults. Using block incision values away from fault-related flexures, average bedrock incision rates are near zero since 4.6 Ma in the Lower Colorado River corridor, 23 m/Ma from 6.8 to 3.6 Ma in the Lake Mead block, 85 m/Ma from 3 to 0.4 Ma in the combined St. George and Hurricane blocks, and 338 m/Ma from 1 to 0.1 Ma in the Zion block. Steady incision within each block is documented by incision constraints that span these age ranges. We test two end-member hypotheses to explain the observed differential incision magnitudes and rates along the Virgin River system over the past ∼5 Ma: (1) as a measure of mantle-driven differential uplift of the Colorado Plateau relative to sea level; or (2) due to river integration across previously uplifted topography and differential rock types with down-dropping of Transition Zone blocks but no post–5 Ma uplift.

We favor headwater uplift of the Colorado Plateau because basalt-preserved paleoprofiles indicate that eastern fault blocks have been the “active” blocks that moved upwards relative to western blocks with little base-level change of the lower Colorado River corridor in the past 4.6 Ma. Block-to-block differential incision adds cumulatively such that the Zion block (Colorado Plateau edge) has been deeply incised 880–1200 m (∼338 m/Ma) over the 2.6–3.6 Ma period of Hurricane fault neotectonic movement, which has a slip magnitude of 1100 m. Mantle-driven uplift is implicated by a strong correlation throughout the Virgin River drainage between high normalized channel steepness (ksn) and low underlying mantle velocity, whereas there is a weaker correlation between high ksn and resistant lithologies. Basaltic volcanism has migrated northeastward at a rate of ∼18 km/Ma parallel to the Virgin River between ca. 13 and 0.5 Ma, also suggesting a mantle-driven mechanism for the combined epeirogenic uplift of the western Colorado Plateau, recurrent slip on its bounding faults, and headward propagation and differential incision of the Virgin River. Thus, we interpret the Virgin River to be a <5 Ma disequilibrium river system responding to ongoing upper-mantle modification and related basalt extraction that has driven ∼1 km of young (and ongoing) surface uplift of the western Colorado Plateau.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02019.1","usgsCitation":"Walk, C., Karlstrom, K., Crow, R.S., and Heizler, M., 2019, Birth and evolution of the Virgin River fluvial system: ∼1 km of post–5 Ma uplift of the western Colorado Plateau: Geosphere, v. 15, no. 3, p. 759-782, https://doi.org/10.1130/GES02019.1.","productDescription":"24 p.","startPage":"759","endPage":"782","ipdsId":"IP-102339","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":467690,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02019.1","text":"Publisher Index Page"},{"id":380958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Nevada, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.927734375,\n 35.460669951495305\n ],\n [\n -111.6650390625,\n 35.460669951495305\n ],\n [\n -111.6650390625,\n 38.09998264736481\n ],\n [\n -115.927734375,\n 38.09998264736481\n ],\n [\n -115.927734375,\n 35.460669951495305\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Walk, Cory","contributorId":245362,"corporation":false,"usgs":false,"family":"Walk","given":"Cory","email":"","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":806037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karlstrom, Karl","contributorId":245363,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Karl","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":806038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crow, Ryan S. 0000-0002-2403-6361 rcrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-6361","contributorId":5792,"corporation":false,"usgs":true,"family":"Crow","given":"Ryan","email":"rcrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":806039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heizler, Matt","contributorId":245364,"corporation":false,"usgs":false,"family":"Heizler","given":"Matt","affiliations":[{"id":7026,"text":"New Mexico Tech","active":true,"usgs":false}],"preferred":false,"id":806040,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202826,"text":"fs20193015 - 2019 - Drought forecasting for streams and groundwaters in northeastern United States","interactions":[],"lastModifiedDate":"2019-04-22T10:24:12","indexId":"fs20193015","displayToPublicDate":"2019-04-17T14:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3015","title":"Drought forecasting for streams and groundwaters in northeastern United States","docAbstract":"

Background

When rainfall is lower than normal over an extended period, streamflows decline, groundwater levels fall, and hydrological drought can occur. Droughts can reduce the water available for societal needs, such as public and private drinking-water supplies, farming, and industry, and for ecological health, such as maintenance of water quality and natural ecosystems. Recent droughts in the northeastern United States have highlighted the need for new scientific tools to forecast the probability of future droughts so water managers and the public can be better prepared for these events when they happen. Two recent U.S. Geological Survey (USGS) studies provide tools that can forecast the probabilities of summer droughts for streams and the probabilities of groundwater-level declines below specified targets or thresholds. These tools provide promising methods for identifying and anticipating probable streamflow and groundwater droughts specific to the northeastern United States. USGS Water Science Centers in the northeastern United States have acted together to use these methods for numerous streamflow gages and groundwater-level monitoring wells, and to make the results of the analyses available on the world wide web. This fact sheet describes the drought forecasting techniques used in a study to predict droughts for streamflow and groundwater in the northeastern United States.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193015","usgsCitation":"Austin, S.H., and Dudley, R.W., 2019, Drought forecasting for streams and groundwaters in northeastern United States: U.S. Geological Survey Fact Sheet 2019–3015, 4 p., https://doi.org/10.3133/fs20193015.","productDescription":"Document: 4 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-102976","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":362991,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3015/coverthb.jpg"},{"id":362992,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3015/fs20193015.pdf","text":"Report","size":"7.67 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3015"}],"country":"United States","state":"Connecticut, Delaware, Maine, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont, Virginia, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.88134765625,\n 36.06686213257888\n ],\n [\n -74.37744140625,\n 36.35052700542763\n ],\n [\n -72.4658203125,\n 40.51379915504413\n ],\n [\n -69.697265625,\n 41.42625319507269\n ],\n [\n -70.20263671875,\n 43.43696596521823\n ],\n [\n -66.5771484375,\n 44.62175409623324\n ],\n [\n -68.7744140625,\n 47.90161354142077\n ],\n [\n -80.88134765625,\n 42.52069952914966\n ],\n [\n -80.88134765625,\n 36.06686213257888\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Virginia and West Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, VA 23228

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2019-04-17","noUsgsAuthors":false,"publicationDate":"2019-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Austin, Samuel H. 0000-0001-5626-023X saustin@usgs.gov","orcid":"https://orcid.org/0000-0001-5626-023X","contributorId":153,"corporation":false,"usgs":true,"family":"Austin","given":"Samuel","email":"saustin@usgs.gov","middleInitial":"H.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":760162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","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":760163,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203687,"text":"70203687 - 2019 - Submarine permafrost map in the arctic modelled using 1D transient heat flux (SuPerMAP)","interactions":[],"lastModifiedDate":"2019-07-23T14:02:28","indexId":"70203687","displayToPublicDate":"2019-04-17T11:09:05","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Submarine permafrost map in the arctic modelled using 1D transient heat flux (SuPerMAP)","docAbstract":"

Offshore permafrost plays a role in the global climate system, but observations of permafrost thickness, state, and composition are limited to specific regions. The current global permafrost map shows potential offshore permafrost distribution based on bathymetry and global sea level rise. As a first‐order estimate, we employ a heat transfer model to calculate the subsurface temperature field. Our model uses dynamic upper boundary conditions that synthesize Earth System Model air temperature, ice mass distribution and thickness, and global sea level reconstruction and applies globally distributed geothermal heat flux as a lower boundary condition. Sea level reconstruction accounts for differences between marine and terrestrial sedimentation history. Sediment composition and pore water salinity are integrated in the model. Model runs for 450 ka for cross‐shelf transects were used to initialize the model for circumarctic modeling for the past 50 ka. Preindustrial submarine permafrost (i.e., cryotic sediment), modeled at 12.5‐km spatial resolution, lies beneath almost 2.5 ×106km2 of the Arctic shelf. Our simple modeling approach results in estimates of distribution of cryotic sediment that are similar to the current global map and recent seismically delineated permafrost distributions for the Beaufort and Kara seas, suggesting that sea level is a first‐order determinant for submarine permafrost distribution. Ice content and sediment thermal conductivity are also important for determining rates of permafrost thickness change. The model provides a consistent circumarctic approach to map submarine permafrost and to estimate the dynamics of permafrost in the past.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JC014675","usgsCitation":"Overduin, P., Schneider, T., Miesner, F., Grigoriev, M., Ruppel, C.D., Vasiliev, A., Lantuit, H., Juhls, B., and Westermann, S., 2019, Submarine permafrost map in the arctic modelled using 1D transient heat flux (SuPerMAP): Journal of Geophysical Research C: Oceans, v. 124, no. 6, p. 3490-3507, https://doi.org/10.1029/2018JC014675.","productDescription":"18 p.","startPage":"3490","endPage":"3507","ipdsId":"IP-102127","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467691,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/24566","text":"External Repository"},{"id":364479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Arctic shelf Regions","volume":"124","issue":"6","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Overduin, P.P.","contributorId":37927,"corporation":false,"usgs":true,"family":"Overduin","given":"P.P.","email":"","affiliations":[],"preferred":false,"id":763797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schneider, T.","contributorId":216061,"corporation":false,"usgs":false,"family":"Schneider","given":"T.","affiliations":[],"preferred":false,"id":763798,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miesner, F.","contributorId":216062,"corporation":false,"usgs":false,"family":"Miesner","given":"F.","email":"","affiliations":[],"preferred":false,"id":763799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grigoriev, M.N.","contributorId":64105,"corporation":false,"usgs":true,"family":"Grigoriev","given":"M.N.","email":"","affiliations":[],"preferred":false,"id":763800,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":195778,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":763801,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vasiliev, A.","contributorId":216063,"corporation":false,"usgs":false,"family":"Vasiliev","given":"A.","email":"","affiliations":[],"preferred":false,"id":763802,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lantuit, H.","contributorId":216064,"corporation":false,"usgs":false,"family":"Lantuit","given":"H.","affiliations":[],"preferred":false,"id":763803,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Juhls, B.","contributorId":216065,"corporation":false,"usgs":false,"family":"Juhls","given":"B.","email":"","affiliations":[],"preferred":false,"id":763804,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Westermann, S.","contributorId":216066,"corporation":false,"usgs":false,"family":"Westermann","given":"S.","email":"","affiliations":[],"preferred":false,"id":763805,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70203113,"text":"70203113 - 2019 - Carbon dioxide enhanced oil recovery and residual oil zone studies at the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2019-05-01T10:23:33","indexId":"70203113","displayToPublicDate":"2019-04-17T10:23:23","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Carbon dioxide enhanced oil recovery and residual oil zone studies at the U.S. Geological Survey","docAbstract":"

The U.S. Geological Survey (USGS) is preparing a national resource assessment of the potential hydrocarbons recoverable after injection of carbon dioxide (CO2) into conventional oil reservoirs in the United States. The implementation of CO2-enhanced oil recovery (CO2-EOR) techniques can increase hydrocarbon production, and lead to incidental retention of CO2 in reservoir pore space allowing long-term storage of anthropogenic CO2. A Comprehensive Resource Database (CRD) containing proprietary data on location, geologic, petrophysical, and reservoir parameters, plus production and well counts for major oil and gas reservoirs in onshore areas and State waters of the conterminous United States and Alaska, was developed to support the USGS assessment. Residual oil zones (ROZs) also can provide potential pore space for long-term storage of anthropogenic CO2. However, ROZs are not included in the upcoming USGS national CO2-EOR assessment because assessment methods for ROZs still are being developed. Additional ROZ CO2-EOR and CO2 retention data and reservoir simulations are needed to calibrate national ROZ assessment estimates.

","conferenceTitle":"14th International Conference on Greenhouse Gas Control Technologies, GHGT-14","conferenceDate":"October 21-25, 2018","conferenceLocation":"Melbourne, Australia","language":"English","publisher":"Social Science Research Network (SSRN)","usgsCitation":"Warwick, P., Attanasi, E., Blondes, M., Brennan, S.T., Buursink, M., Doolan, C.A., Freeman, P., Jahediesfanjani, H., Karacan, C.O., Lohr, C., Merrill, M., Olea, R.A., Roueche, J.N., Shelton, J., Slucher, E., Varela, B.A., and Verma, M.K., 2019, Carbon dioxide enhanced oil recovery and residual oil zone studies at the U.S. Geological Survey, 14th International Conference on Greenhouse Gas Control Technologies, GHGT-14, Melbourne, Australia, October 21-25, 2018, p. 1-4.","productDescription":"4 p.","startPage":"1","endPage":"4","ipdsId":"IP-100919","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":363428,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363097,"type":{"id":15,"text":"Index Page"},"url":"https://ssrn.com/abstract=3366202"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":205928,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":761225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Attanasi, Emil D. 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":198728,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil D.","email":"attanasi@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":761226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blondes, Madalyn S. 0000-0003-0320-0107 mblondes@usgs.gov","orcid":"https://orcid.org/0000-0003-0320-0107","contributorId":3598,"corporation":false,"usgs":true,"family":"Blondes","given":"Madalyn S.","email":"mblondes@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":761227,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brennan, Sean T. 0000-0002-9381-6863 sbrennan@usgs.gov","orcid":"https://orcid.org/0000-0002-9381-6863","contributorId":205926,"corporation":false,"usgs":true,"family":"Brennan","given":"Sean","email":"sbrennan@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":761228,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buursink, Marc L. 0000-0001-6491-386X","orcid":"https://orcid.org/0000-0001-6491-386X","contributorId":203357,"corporation":false,"usgs":true,"family":"Buursink","given":"Marc L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":761229,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Doolan, Colin A. 0000-0002-7595-7566 cdoolan@usgs.gov","orcid":"https://orcid.org/0000-0002-7595-7566","contributorId":3046,"corporation":false,"usgs":true,"family":"Doolan","given":"Colin","email":"cdoolan@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":761230,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Freeman, Philip A. 0000-0002-0863-7431","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":206294,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":761231,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jahediesfanjani, Hossein 0000-0001-6281-5166","orcid":"https://orcid.org/0000-0001-6281-5166","contributorId":201000,"corporation":false,"usgs":false,"family":"Jahediesfanjani","given":"Hossein","affiliations":[],"preferred":false,"id":761232,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Karacan, C. 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Dreissenid mussels (including the zebra mussel Dreissena polymorpha and the quagga mussel D. rostriformis) are among the world's most notorious invasive species, with large and widespread ecological and economic effects. However, their long‐term population dynamics are poorly known, even though these dynamics are critical to determining impacts and effective management. We gathered and analyzed 67 long‐term (>10 yr) data sets on dreissenid populations from lakes and rivers across Europe and North America. We addressed five questions: (1) How do Dreissena populations change through time? (2) Specifically, do Dreissena populations decline substantially after an initial outbreak phase? (3) Do different measures of population performance (biomass or density of settled animals, veliger density, recruitment of young) follow the same patterns through time? (4) How do the numbers or biomass of zebra mussels or of both species combined change after the quagga mussel arrives? (5) How does body size change over time? We also considered whether current data on long‐term dynamics of Dreissena populations are adequate for science and management. Individual Dreissena populations showed a wide range of temporal dynamics, but we could detect only two general patterns that applied across many populations: (1) Populations of both species increased rapidly in the first 1–2 yr after appearance, and (2) quagga mussels appeared later than zebra mussels and usually quickly caused large declines in zebra mussel populations. We found little evidence that combined Dreissena populations declined over the long term. Different measures of population performance were not congruent; the temporal dynamics of one life stage or population attribute cannot generally be accurately inferred from the dynamics of another. We found no consistent patterns in the long‐term dynamics of body size. The long‐term dynamics of Dreissena populations probably are driven by the ecological characteristics (e.g., predation, nutrient inputs, water temperature) and their temporal changes at individual sites rather than following a generalized time course that applies across many sites. Existing long‐term data sets on dreissenid populations, although clearly valuable, are inadequate to meet research and management needs. Data sets could be improved by standardizing sampling designs and methods, routinely collecting more variables, and increasing support.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2701","usgsCitation":"Strayer, D., Adamovich, B.V., Rita Adrian, Aldridge, D.C., Balogh, C., Burlakova, L.E., Fried-Petersen, H., G.-Toth, L., Amy L. Hetherington, Jones, T.S., Alexander Y. Karatayev, Madill, J.B., Makarevich, O.A., Marsden, J., Martel, A.L., Minchin, D., Nalepa, T.F., Noordhuis, R., Robinson, T.J., Lars G. Rudstam, Astrid N. Schwalb, Smith, D.R., Alan D. Steinman, and Jeschke, J.M., 2019, Long-term population dynamics of dreissenid mussels (Dreissena polymorpha and D. rostriformis): A cross-system analysis: Ecosphere, v. 10, no. 4, e02701, 22 p., https://doi.org/10.1002/ecs2.2701.","productDescription":"e02701, 22 p.","ipdsId":"IP-100985","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":467692,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2701","text":"Publisher Index Page"},{"id":377520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Strayer, David L.","contributorId":238531,"corporation":false,"usgs":false,"family":"Strayer","given":"David L.","affiliations":[{"id":47722,"text":"Cary Institute of Ecosystem Studies, Millbrook, NY","active":true,"usgs":false}],"preferred":false,"id":796360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adamovich, Boris V.","contributorId":238532,"corporation":false,"usgs":false,"family":"Adamovich","given":"Boris","email":"","middleInitial":"V.","affiliations":[{"id":47723,"text":"Biological Department, Belarusian State University, Minsk, Belarus","active":true,"usgs":false}],"preferred":false,"id":796361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rita Adrian","contributorId":238533,"corporation":false,"usgs":false,"family":"Rita Adrian","affiliations":[{"id":47724,"text":"Freie Universität Berlin, Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":796362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aldridge, David C.","contributorId":238534,"corporation":false,"usgs":false,"family":"Aldridge","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":47725,"text":"Department of Zoology, University of Cambridge, Cambridge, UK","active":true,"usgs":false}],"preferred":false,"id":796363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Balogh, Csilla","contributorId":238535,"corporation":false,"usgs":false,"family":"Balogh","given":"Csilla","email":"","affiliations":[{"id":47726,"text":"Centre for Ecological Research, Balaton Limnological Institute, Hungarian Academy of Sciences, Tihany, Hungary","active":true,"usgs":false}],"preferred":false,"id":796364,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burlakova, Lyubov E.","contributorId":238536,"corporation":false,"usgs":false,"family":"Burlakova","given":"Lyubov","email":"","middleInitial":"E.","affiliations":[{"id":47728,"text":"Great Lakes Center, SUNY Buffalo State, Buffalo, NY","active":true,"usgs":false}],"preferred":false,"id":796365,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fried-Petersen, Hannah","contributorId":238537,"corporation":false,"usgs":false,"family":"Fried-Petersen","given":"Hannah","email":"","affiliations":[{"id":47729,"text":"Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, Sweden","active":true,"usgs":false}],"preferred":false,"id":796366,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"G.-Toth, Laszlo","contributorId":238538,"corporation":false,"usgs":false,"family":"G.-Toth","given":"Laszlo","email":"","affiliations":[{"id":47726,"text":"Centre for Ecological Research, Balaton Limnological Institute, Hungarian Academy of Sciences, Tihany, Hungary","active":true,"usgs":false}],"preferred":false,"id":796367,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Amy L. 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Rudstam","contributorId":238550,"corporation":false,"usgs":false,"family":"Lars G. Rudstam","affiliations":[{"id":47739,"text":"Cornell Biological Field Station, Department of Natural Resources, Cornell University, Bridgeport, NY","active":true,"usgs":false}],"preferred":false,"id":796379,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Astrid N. Schwalb","contributorId":238551,"corporation":false,"usgs":false,"family":"Astrid N. Schwalb","affiliations":[{"id":47740,"text":"Department of Biology, Texas State University, San Marcos, TX","active":true,"usgs":false}],"preferred":false,"id":796380,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":796381,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Alan D. Steinman","contributorId":238552,"corporation":false,"usgs":false,"family":"Alan D. Steinman","affiliations":[{"id":47741,"text":"Annis Water Resources Institute, Grand Valley State University, Muskegon, MI","active":true,"usgs":false}],"preferred":false,"id":796382,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Jeschke, Jonathan M.","contributorId":238553,"corporation":false,"usgs":false,"family":"Jeschke","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[{"id":47724,"text":"Freie Universität Berlin, Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":796383,"contributorType":{"id":1,"text":"Authors"},"rank":24}]}} ,{"id":70205030,"text":"70205030 - 2019 - Understanding and mitigating bee drownings in open feeders","interactions":[],"lastModifiedDate":"2019-08-29T09:13:06","indexId":"70205030","displayToPublicDate":"2019-04-17T09:08:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5786,"text":"Bee World","active":true,"publicationSubtype":{"id":10}},"title":"Understanding and mitigating bee drownings in open feeders","docAbstract":"

Whereas open feeders are relatively inexpensive and are easily set up and maintained, they do present a drowning hazard to bees. We observed that bees feeding off the walls of the open container fell into the sugar water because of their incarnation, interactions with other bees and when shooed off the feeder walls while removing the feeder for cleaning. Twigs, angled laths and utility screen perches permitted bees to exploit more of the sugar water surface area and provided drowning bees a platform for self-rescue. Because angled laths and utility screen perches extended over the entire feeder, they offered greater feeding surface area and increased the chances that a drowning bee would quickly encounter the perches for self-rescue than twig perches. Additionally, bees were less likely to fall into the sugar water when removing the angled lath and utility screen perches from the feeders than when removing twigs. Our anecdotal observations identified three characteristics of perches that can mitigate for the drowning hazard. Perches need to: 1. Allow bees to use a greater surface area of the sugar water to reduce crowding while feeding from the container walls. 2. Encompass most of the feeder to improve the chances that drowning bees will encounter the perch and be able to rescue themselves. 3. Allow bees to quickly extricate themselves from the sugar water to minimize sugar crystallization on the bees. The information presented herein provides a practical window into the factors that lead to bee drownings and the type of mitigation that is required. It is of note that we used the three perch types to develop perch characteristics for mitigating drowning hazards. Novice researchers can apply these principles to customize perches based on their specific needs.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/0005772X.2019.1602022","usgsCitation":"Vyas, N.B., Plunkett, A.D., Enciso, E., and Torrez, V., 2019, Understanding and mitigating bee drownings in open feeders: Bee World, v. 96, no. 3, p. 92-95, https://doi.org/10.1080/0005772X.2019.1602022.","productDescription":"4 p.","startPage":"92","endPage":"95","ipdsId":"IP-106504","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":367051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Vyas, Nimish B. 0000-0003-0191-1319 nvyas@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-1319","contributorId":4494,"corporation":false,"usgs":true,"family":"Vyas","given":"Nimish","email":"nvyas@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":769641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plunkett, Amanda D.","contributorId":213267,"corporation":false,"usgs":false,"family":"Plunkett","given":"Amanda","email":"","middleInitial":"D.","affiliations":[{"id":38730,"text":"Bee Rooted","active":true,"usgs":false}],"preferred":false,"id":769642,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Enciso, Evelynn","contributorId":218614,"corporation":false,"usgs":false,"family":"Enciso","given":"Evelynn","email":"","affiliations":[{"id":39876,"text":"University of California- San Bernardino","active":true,"usgs":false}],"preferred":false,"id":769643,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Torrez, Victor","contributorId":218615,"corporation":false,"usgs":false,"family":"Torrez","given":"Victor","email":"","affiliations":[{"id":39876,"text":"University of California- San Bernardino","active":true,"usgs":false}],"preferred":false,"id":769644,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216089,"text":"70216089 - 2019 - Precipitation and temperature drive continental scale patterns in stream invertebrate production","interactions":[],"lastModifiedDate":"2020-11-05T15:08:38.436614","indexId":"70216089","displayToPublicDate":"2019-04-17T09:06:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Precipitation and temperature drive continental scale patterns in stream invertebrate production","docAbstract":"

Secondary production, the growth of new heterotrophic biomass, is a key process in aquatic and terrestrial ecosystems that has been carefully measured in many flowing water ecosystems. We combine structural equation modeling with the first worldwide dataset on annual secondary production of stream invertebrate communities to reveal core pathways linking air temperature and precipitation to secondary production. In the United States, where the most extensive set of secondary production estimates and covariate data were available, we show that precipitation-mediated, low–stream flow events have a strong negative effect on secondary production. At larger scales (United States, Europe, Central America, and Pacific), we demonstrate the significance of a positive two-step pathway from air to water temperature to increasing secondary production. Our results provide insights into the potential effects of climate change on secondary production and demonstrate a modeling framework that can be applied across ecosystems.

","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.aav2348","usgsCitation":"Patrick, C.J., McGarvey, D., Larson, J.H., Cross, W., Allen, D., Benke, A., Brey, T., Huryn, A., Jones, J.D., Murphy, C., Ruffing, C., Saffarinia, P., Whiles, M., Wallace, B.P., and Woodward, G., 2019, Precipitation and temperature drive continental scale patterns in stream invertebrate production: Nature, v. 5, no. 4, eaav2348, 10 p., https://doi.org/10.1126/sciadv.aav2348.","productDescription":"eaav2348, 10 p.","ipdsId":"IP-099195","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":467693,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.aav2348","text":"Publisher Index Page"},{"id":380192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Patrick, Christopher J.","contributorId":199778,"corporation":false,"usgs":false,"family":"Patrick","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":804016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGarvey, D.","contributorId":244474,"corporation":false,"usgs":false,"family":"McGarvey","given":"D.","email":"","affiliations":[{"id":38728,"text":"Virginia Commonwealth University","active":true,"usgs":false}],"preferred":false,"id":804017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":804018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cross, W.","contributorId":244475,"corporation":false,"usgs":false,"family":"Cross","given":"W.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":804019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, D.","contributorId":244476,"corporation":false,"usgs":false,"family":"Allen","given":"D.","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":804020,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Benke, A.","contributorId":244477,"corporation":false,"usgs":false,"family":"Benke","given":"A.","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":804021,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brey, T.","contributorId":244478,"corporation":false,"usgs":false,"family":"Brey","given":"T.","email":"","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":804022,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Huryn, A.","contributorId":244479,"corporation":false,"usgs":false,"family":"Huryn","given":"A.","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":804023,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jones, J. Douglas","contributorId":65037,"corporation":false,"usgs":false,"family":"Jones","given":"J.","email":"","middleInitial":"Douglas","affiliations":[],"preferred":false,"id":804024,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Murphy, C.","contributorId":244480,"corporation":false,"usgs":false,"family":"Murphy","given":"C.","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":804025,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ruffing, C.","contributorId":244481,"corporation":false,"usgs":false,"family":"Ruffing","given":"C.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":804026,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Saffarinia, P.","contributorId":244482,"corporation":false,"usgs":false,"family":"Saffarinia","given":"P.","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":804027,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Whiles, M.","contributorId":244483,"corporation":false,"usgs":false,"family":"Whiles","given":"M.","email":"","affiliations":[{"id":13212,"text":"Southern Illinois University","active":true,"usgs":false}],"preferred":false,"id":804028,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wallace, B. P.","contributorId":178089,"corporation":false,"usgs":false,"family":"Wallace","given":"B.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":804029,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Woodward, G.","contributorId":244484,"corporation":false,"usgs":false,"family":"Woodward","given":"G.","email":"","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":804030,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70208597,"text":"70208597 - 2019 - Ground-motion attenuation in the Sacramento-San Joaquin delta, California, from 14 Bay Area earthquakes, including the 2014 M 6.0 South Napa earthquake","interactions":[],"lastModifiedDate":"2020-02-19T20:08:21","indexId":"70208597","displayToPublicDate":"2019-04-16T20:06:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Ground-motion attenuation in the Sacramento-San Joaquin delta, California, from 14 Bay Area earthquakes, including the 2014 M 6.0 South Napa earthquake","docAbstract":"Peak ground motions (acceleration and velocity) radiated by earthquakes in the San Francisco Bay area and recorded within the Sacramento–San Joaquin Delta generally attenuate faster with distance than the Next Generation Attenuation-West2 ground-motion prediction equations (GMPEs). We evaluate the attenuation for a wide set of paths into the Delta by analyzing recorded ground motions from fourteen 4 ≤ M < 7 earthquakes located on major Bay area faults: the San Andreas, Calaveras, Hayward, West Napa, and Green Valley faults. We select stations within azimuthal ranges of 38°–114° into the Delta and calculate the residuals of the peak ground motions relative to the Boore et al. (2014) GMPEs. We then fit the natural log of these peak ground acceleration and peak ground velocity residuals for each earthquake to the function a−krγ, in which a is an event term and krγ is the differential attenuation. Although there is some variation in the differential attenuation obtained for each earthquake, the peak ground motions from most of the 14 events attenuate faster than predicted by the Boore et al. (2014) GMPEs. The differential attenuation does not appear to depend on azimuth or magnitude of the earthquake; however, earthquake depth may have an effect. Our results suggest that attenuation models for the Delta can be significantly improved through regionalization, although this regionalization will increase the model complexity and the epistemic uncertainty.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120180182","usgsCitation":"Erdem, J., Boatwright, J., and Fletcher, J.P., 2019, Ground-motion attenuation in the Sacramento-San Joaquin delta, California, from 14 Bay Area earthquakes, including the 2014 M 6.0 South Napa earthquake: Bulletin of the Seismological Society of America, v. 109, no. 3, p. 1025-1033, https://doi.org/10.1785/0120180182.","productDescription":"9 p.","startPage":"1025","endPage":"1033","ipdsId":"IP-096562","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":372430,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.838134765625,\n 37.727280276860036\n ],\n [\n -120.3387451171875,\n 37.727280276860036\n ],\n [\n -120.3387451171875,\n 39.35129035526705\n ],\n [\n -122.838134765625,\n 39.35129035526705\n ],\n [\n -122.838134765625,\n 37.727280276860036\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"109","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Erdem, Jemile 0000-0003-2353-9431 jerdem@usgs.gov","orcid":"https://orcid.org/0000-0003-2353-9431","contributorId":127700,"corporation":false,"usgs":true,"family":"Erdem","given":"Jemile","email":"jerdem@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":782663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boatwright, Jack 0000-0002-6931-5241","orcid":"https://orcid.org/0000-0002-6931-5241","contributorId":205346,"corporation":false,"usgs":true,"family":"Boatwright","given":"Jack","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":782664,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fletcher, Jon Peter B. 0000-0001-8885-6177 jfletcher@usgs.gov","orcid":"https://orcid.org/0000-0001-8885-6177","contributorId":1216,"corporation":false,"usgs":true,"family":"Fletcher","given":"Jon","email":"jfletcher@usgs.gov","middleInitial":"Peter B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":782665,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70203174,"text":"70203174 - 2019 - Methane emissions from artificial waterbodies dominate the carbon footprint of irrigation: A study of transitions in the food-energy-water-climate nexus (Spain, 1900-2014)","interactions":[],"lastModifiedDate":"2019-04-25T08:39:36","indexId":"70203174","displayToPublicDate":"2019-04-16T16:27:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Methane emissions from artificial waterbodies dominate the carbon footprint of irrigation: A study of transitions in the food-energy-water-climate nexus (Spain, 1900-2014)","docAbstract":"

Irrigation in the Mediterranean region has been used for millennia and has greatly expanded with industrialization. Irrigation is critical for climate change adaptation, but it is also an important source of greenhouse gas emissions. This study analyzes the carbon (C) footprint of irrigation in Spain, covering the complete historical process of mechanization. A 21-fold total, 6-fold area-based, and 4-fold product-based increase in the carbon footprint was observed during the 20th century, despite an increase in water use efficiency. CH4 emissions from waterbodies, which had not previously been considered in the C footprint of irrigation systems, dominated the emission budget during most of the analyzed period. Technologies to save water and tap new water resources greatly increased energy and infrastructure demand, while improvements in power generation efficiency had a limited influence on irrigation emissions. Electricity production from irrigation dams may contribute to climate change mitigation, but the amount produced in relation to that consumed in irrigation has greatly declined. High uncertainty in CH4 emission estimates from waterbodies stresses a need for more spatially resolved data and an improved empirical knowledge of the links between water quality, water level fluctuations, and emissions at the regional scale.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.9b00177","usgsCitation":"Aguilera, E., Vila-Traver, J., Deemer, B., Infante-Amate, J., Guzman, G.I., and Gonzalez de Molina, M., 2019, Methane emissions from artificial waterbodies dominate the carbon footprint of irrigation: A study of transitions in the food-energy-water-climate nexus (Spain, 1900-2014): Environmental Science & Technology, 11 p., https://doi.org/10.1021/acs.est.9b00177.","productDescription":"11 p.","onlineOnly":"Y","ipdsId":"IP-104496","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":363210,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Spain","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-9.03482,41.88057],[-8.98443,42.59278],[-9.39288,43.02662],[-7.97819,43.74834],[-6.75449,43.56791],[-5.41189,43.57424],[-4.34784,43.40345],[-3.51753,43.4559],[-1.90135,43.4228],[-1.50277,43.03401],[0.33805,42.57955],[0.70159,42.79573],[1.82679,42.34338],[2.986,42.47302],[3.03948,41.89212],[2.09184,41.22609],[0.81052,41.01473],[0.72133,40.67832],[0.10669,40.12393],[-0.27871,39.30998],[0.11129,38.73851],[-0.46712,38.29237],[-0.68339,37.64235],[-1.43838,37.44306],[-2.14645,36.67414],[-3.41578,36.6589],[-4.3689,36.67784],[-4.99522,36.32471],[-5.37716,35.94685],[-5.86643,36.02982],[-6.23669,36.36768],[-6.52019,36.94291],[-7.45373,37.09779],[-7.53711,37.4289],[-7.16651,37.80389],[-7.02928,38.07576],[-7.37409,38.37306],[-7.09804,39.03007],[-7.49863,39.62957],[-7.06659,39.71189],[-7.02641,40.18452],[-6.86402,40.33087],[-6.85113,41.11108],[-6.38909,41.38182],[-6.66861,41.88339],[-7.25131,41.91835],[-7.42251,41.79207],[-8.01317,41.79089],[-8.26386,42.28047],[-8.67195,42.13469],[-9.03482,41.88057]]]},\"properties\":{\"name\":\"Spain\"}}]}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Aguilera, Eduardo","contributorId":215050,"corporation":false,"usgs":false,"family":"Aguilera","given":"Eduardo","email":"","affiliations":[{"id":39165,"text":"Universidad Pablo de Olavide. Ctra Utrera km 1, Sevilla, 41009 Spain, Corresponding author. Phone: +34 675309372","active":true,"usgs":false}],"preferred":false,"id":761514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vila-Traver, Jaime","contributorId":215051,"corporation":false,"usgs":false,"family":"Vila-Traver","given":"Jaime","email":"","affiliations":[{"id":39166,"text":"Universidad Pablo de Olavide. Ctra Utrera km 1, Sevilla, 41009 Spain","active":true,"usgs":false}],"preferred":false,"id":761515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deemer, Bridget 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":215049,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":761513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Infante-Amate, Juan","contributorId":215052,"corporation":false,"usgs":false,"family":"Infante-Amate","given":"Juan","email":"","affiliations":[{"id":39166,"text":"Universidad Pablo de Olavide. Ctra Utrera km 1, Sevilla, 41009 Spain","active":true,"usgs":false}],"preferred":false,"id":761516,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guzman, Gloria I.","contributorId":215053,"corporation":false,"usgs":false,"family":"Guzman","given":"Gloria","email":"","middleInitial":"I.","affiliations":[{"id":39166,"text":"Universidad Pablo de Olavide. Ctra Utrera km 1, Sevilla, 41009 Spain","active":true,"usgs":false}],"preferred":false,"id":761517,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gonzalez de Molina, Manuel","contributorId":215054,"corporation":false,"usgs":false,"family":"Gonzalez de Molina","given":"Manuel","email":"","affiliations":[{"id":39166,"text":"Universidad Pablo de Olavide. Ctra Utrera km 1, Sevilla, 41009 Spain","active":true,"usgs":false}],"preferred":false,"id":761518,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70215338,"text":"70215338 - 2019 - Streptomyces corynorhini sp. nov., isolated from Townsend’s big-eared bats (Corynorhinus townsendii)","interactions":[],"lastModifiedDate":"2020-10-15T19:38:48.984691","indexId":"70215338","displayToPublicDate":"2019-04-16T14:32:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":821,"text":"Antonie van Leeuwenhoek","active":true,"publicationSubtype":{"id":10}},"title":"Streptomyces corynorhini sp. nov., isolated from Townsend’s big-eared bats (Corynorhinus townsendii)","docAbstract":"

Four bacterial strains, with the capability of inhibiting Pseudogymnoascus destructans, the causative agent of white-nose syndrome, were isolated from male Townsend’s big-eared bats (Corynorhinus townsendii, Family: Vespertilionidae) in New Mexico. Isolates AC161, AC162, AC208, and AC230T were characterised as a novel clade using morphological, phenotypic and phylogenetic analysis. A draft genome of the type strain was completed to determine its taxonomy and secondary metabolite biosynthetic potential. Multi-locus sequence analysis nests AC230T with neighbours Streptomyces scopuliridis (NRRL B-24574T), Streptomyces lushanensis (NRRL B-24994T), Streptomyces odonnellii (NRRL B-24891T) and Streptomyces niveus (NRRL 2466T). Further phylogenetic analysis showed the MLSA distances between AC230T and its near neighbours are much greater than the generally accepted threshold (> 0.007) for bacterial species delineation. DNA–DNA relatedness between AC230T and its near neighbours ranged between 25.7 ± 2.1 and 29.9 ± 2.4%. The DNA G+C content of the genomic DNA of the type strain is 71.7 mol%. Isolate AC230T presents a white to ivory hue on most ISP media and its micromorphology exhibits ovoid spores with smooth surfaces in flexuous chains. Based on our study of AC230T, the strain warrants the assignment to a novel species, for which the name Streptomyces corynorhini sp. nov. is proposed. The type strain is AC230T (= JCM 33171T, = ATCC TSD155T).

","language":"English","publisher":"Springer","doi":"10.1007/s10482-019-01261-z","usgsCitation":"Hamm, P.S., Caimi, N.A., Northup, D.E., Valdez, E.W., Buecher, D.C., Dunlap, C.A., Labeda, D.P., and Porras-Alfaro, A., 2019, Streptomyces corynorhini sp. nov., isolated from Townsend’s big-eared bats (Corynorhinus townsendii): Antonie van Leeuwenhoek, v. 112, p. 1297-1305, https://doi.org/10.1007/s10482-019-01261-z.","productDescription":"9 p.","startPage":"1297","endPage":"1305","ipdsId":"IP-101024","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":379432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Hamm, Paris S.","contributorId":193654,"corporation":false,"usgs":false,"family":"Hamm","given":"Paris","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":801835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caimi, Nicole A.","contributorId":193655,"corporation":false,"usgs":false,"family":"Caimi","given":"Nicole","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":801836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Northup, Diana E.","contributorId":83836,"corporation":false,"usgs":true,"family":"Northup","given":"Diana","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":801837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valdez, Ernest W. 0000-0002-7262-3069 ernie@usgs.gov","orcid":"https://orcid.org/0000-0002-7262-3069","contributorId":3600,"corporation":false,"usgs":true,"family":"Valdez","given":"Ernest","email":"ernie@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":801838,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buecher, Debbie C.","contributorId":193657,"corporation":false,"usgs":false,"family":"Buecher","given":"Debbie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":801839,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dunlap, Christopher A.","contributorId":193658,"corporation":false,"usgs":false,"family":"Dunlap","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":801840,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Labeda, David P.","contributorId":193659,"corporation":false,"usgs":false,"family":"Labeda","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":801841,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Porras-Alfaro, Andrea","contributorId":193660,"corporation":false,"usgs":false,"family":"Porras-Alfaro","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":801842,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70215599,"text":"70215599 - 2019 - Fish assemblage structure and fisheries resources in Puerto Rico’s riverine estuaries","interactions":[],"lastModifiedDate":"2020-10-25T18:46:01.685685","indexId":"70215599","displayToPublicDate":"2019-04-16T13:41:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Fish assemblage structure and fisheries resources in Puerto Rico’s riverine estuaries","docAbstract":"

Tropical estuaries are diverse and productive habitats with respect to their fish assemblages and associated fisheries, but these ecosystems and fisheries are imperiled by multiple anthropogenic threats. Despite the economic, social, and biodiversity value of tropical estuarine fish assemblages, they are poorly understood, especially those on Caribbean islands. We sampled the fish assemblages of four estuaries that were broadly representative of riverine estuaries in Puerto Rico, including the Río Grande de Arecibo, Río Espiritu Santo, Río Mameyes, and Río Sabana. We used a combination of passive (gill nets) and active (seine) gears at locations that spanned the salinity gradient of each estuary during July–October 2013–2014 (rainy season) and March 2015 (dry season). Fish species richness among the riverine estuaries varied from 18 to 29 and was highest in the Río Espiritu Santo estuary. Nonmetric multidimensional scaling differentiated fish assemblages among estuaries but not by season or consistently by location within an estuary. Spearman's rank correlation analysis also revealed dissimilarity among each estuary's fish assemblage, as most pairwise correlations between the species compositions were not significant. We identified common and widespread species among estuaries, including sport fishes, such as the Tarpon Megalops atlanticus and Common Snook Centropomus undecimalis. As the only multi‐river assessment of riverine estuary fish assemblages in Puerto Rico, our results provide the best available information about the spatial variability of assemblages and fisheries resources. This information will benefit future conservation and fisheries management efforts, which are needed due to increasing anthropogenic impacts, such as illegal harvest, invasive species, and water diversions.

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J.R.","contributorId":243988,"corporation":false,"usgs":false,"family":"Fischer","given":"J.R.","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":802940,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lilyestrom, C.G.","contributorId":243989,"corporation":false,"usgs":false,"family":"Lilyestrom","given":"C.G.","affiliations":[{"id":48784,"text":"Puerto Rico Department of Natural and Environmental Resources","active":true,"usgs":false}],"preferred":false,"id":802941,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203441,"text":"70203441 - 2019 - Sitting ducklings: Timing of hatch, nest departure, and predation risk for dabbling duck broods","interactions":[],"lastModifiedDate":"2019-05-14T13:32:30","indexId":"70203441","displayToPublicDate":"2019-04-16T13:31:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Sitting ducklings: Timing of hatch, nest departure, and predation risk for dabbling duck broods","docAbstract":"

For ground‐nesting waterfowl, the timing of egg hatch and duckling departure from the nest may be influenced by the risk of predation at the nest and en route to wetlands and constrained by the time required for ducklings to imprint on the hen and be physically able to leave the nest. We determined the timing of hatch, nest departure, and predation on dabbling duck broods using small video cameras placed at the nests of mallard (Anas platyrhynchos; n = 26), gadwall (Mareca strepera; n = 24), and cinnamon teal (Anas cyanoptera; n = 5). Mallard eggs began to hatch throughout the day and night, whereas gadwall eggs generally started to hatch during daylight hours (mean 7.5 hr after dawn). Among all species, duckling departure from the nest occurred during daylight (98%), and 53% of hens typically left the nest with their broods 1–4 hr after dawn. For mallard and gadwall, we identified three strategies for the timing of nest departure: (a) 9% of broods left the nest the same day that eggs began to hatch (6–12 hr later), (b) 81% of broods left the nest the day after eggs began to hatch, and (c) 10% of broods waited 2 days to depart the nest after eggs began to hatch, leaving the nest just after the second dawn (27–42 hr later). Overall, eggs were depredated at 10% of nests with cameras in the 2 days prior to hatch and ducklings were depredated at 15% of nests with cameras before leaving the nest. Our results suggest that broods prefer to depart the nest early in the morning, which may best balance developmental constraints with predation risk both at the nest and en route to wetlands.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5146","usgsCitation":"Peterson, S.H., Ackerman, J., Herzog, M.P., Hartman, C., Croston, R., Feldheim, C.L., and Casazza, M.L., 2019, Sitting ducklings: Timing of hatch, nest departure, and predation risk for dabbling duck broods: Ecology and Evolution, v. 9, no. 9, p. 5490-5500, https://doi.org/10.1002/ece3.5146.","productDescription":"11 p.","startPage":"5490","endPage":"5500","ipdsId":"IP-104323","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467695,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5146","text":"Publisher Index Page"},{"id":437496,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93ZFTZI","text":"USGS data release","linkHelpText":"The timing of dabbling duckling hatch, nest departure and depredation in Suisun Marsh, California from 2015-2017"},{"id":363780,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363777,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1002/ece3.5146"}],"volume":"9","issue":"9","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Peterson, Sarah H. 0000-0003-2773-3901 sepeterson@usgs.gov","orcid":"https://orcid.org/0000-0003-2773-3901","contributorId":167181,"corporation":false,"usgs":true,"family":"Peterson","given":"Sarah","email":"sepeterson@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":762715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":762714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":762716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartman, Christopher","contributorId":215579,"corporation":false,"usgs":true,"family":"Hartman","given":"Christopher","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":762717,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Croston, Rebecca 0000-0003-4696-0878","orcid":"https://orcid.org/0000-0003-4696-0878","contributorId":206560,"corporation":false,"usgs":true,"family":"Croston","given":"Rebecca","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":762718,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Feldheim, Cliff L.","contributorId":206561,"corporation":false,"usgs":false,"family":"Feldheim","given":"Cliff","email":"","middleInitial":"L.","affiliations":[{"id":37342,"text":"California Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":762719,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":762720,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70203130,"text":"70203130 - 2019 - Quantifying risk of whale–vessel collisions across space, time, and management policies","interactions":[],"lastModifiedDate":"2019-04-23T13:29:45","indexId":"70203130","displayToPublicDate":"2019-04-16T13:02:40","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":"Quantifying risk of whale–vessel collisions across space, time, and management policies","docAbstract":"Transportation industries can negatively impact wildlife populations, including through increased risk of mortality. To mitigate this risk successfully, managers and conservationists must estimate risk across space, time, and alternative management policies. Evaluating this risk at fine spatial and temporal scales can be challenging, especially in systems where wildlife–vehicle collisions are rare or imperfectly detected. The sizes and behaviors of wildlife and vehicles influence collision risk, as well as how much they co‐occur in space and time. We applied a modeling framework based on encounter theory to quantify the risk of lethal collisions between endangered North Atlantic right whales and vessels. Using Automatic Identification System vessel traffic data and spatially explicit estimates of right whale abundance that account for imperfect detection, we modeled risk at fine spatiotemporal scales before and after implementation of a vessel speed rule in the southeastern United States. The expected seasonal mortality rates of right whales decreased by 22% on average after the speed rule was implemented, indicating that the rule is effective at reducing lethal collisions. The rule's effect on risk was greatest where right whales were abundant and vessel traffic was heavy, and its effect varied considerably across time and space. Our framework is spatiotemporally flexible, process‐oriented, computationally efficient and accounts for uncertainty, making it an ideal approach for evaluating many wildlife management policies, including those regarding collisions between wildlife and vehicles and cases in which wildlife may encounter other dangerous features such as wind farms, seismic surveys, or fishing gear.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2713","usgsCitation":"Crum, N.J., Gowan, T.A., Krzystan, A., and Martin, J., 2019, Quantifying risk of whale–vessel collisions across space, time, and management policies: Ecosphere, v. 10, no. 4, Article: e02713; 15 p., https://doi.org/10.1002/ecs2.2713.","productDescription":"Article: e02713; 15 p.","ipdsId":"IP-096433","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467696,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2713","text":"Publisher Index Page"},{"id":363143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, Florida","city":"Brunswick, Fernandina Beach, Jacksonville","otherGeospatial":"Atlantic Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.67236328125,\n 30.225848323247707\n ],\n [\n -81.14776611328124,\n 30.225848323247707\n ],\n [\n -81.14776611328124,\n 31.203404950917395\n ],\n [\n -81.67236328125,\n 31.203404950917395\n ],\n [\n -81.67236328125,\n 30.225848323247707\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Crum, Nathan J.","contributorId":200016,"corporation":false,"usgs":false,"family":"Crum","given":"Nathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":761309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gowan, Timothy A.","contributorId":138595,"corporation":false,"usgs":false,"family":"Gowan","given":"Timothy","email":"","middleInitial":"A.","affiliations":[{"id":12456,"text":"former USGS scientist","active":true,"usgs":false}],"preferred":false,"id":761310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krzystan, Andrea","contributorId":214962,"corporation":false,"usgs":false,"family":"Krzystan","given":"Andrea","affiliations":[{"id":35758,"text":"FWC","active":true,"usgs":false}],"preferred":false,"id":761311,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Julien 0000-0002-7375-129X julienmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":5785,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","email":"julienmartin@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":761308,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202885,"text":"ds1113 - 2019 - Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2017","interactions":[],"lastModifiedDate":"2021-08-26T14:15:48.171906","indexId":"ds1113","displayToPublicDate":"2019-04-16T12:52:58","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1113","displayTitle":"Water-Level Data for the Albuquerque Basin and Adjacent Areas, Central New Mexico, Period of Record Through September 30, 2017","title":"Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2017","docAbstract":"

The Albuquerque Basin, located in central New Mexico, is about 100 miles long and 25–40 miles wide. The basin is hydrologically defined as the extent of consolidated and unconsolidated deposits of Tertiary and Quaternary age that encompasses the structural Rio Grande Rift between San Acacia to the south and Cochiti Lake to the north. A 20-percent population increase in the basin from 1990 to 2000 and a 22-percent population increase from 2000 to 2010 resulted in an increased demand for water in areas within the basin. Drinking-water supplies throughout the basin were obtained solely from groundwater resources until December 2008, when the Albuquerque Bernalillo County Water Utility Authority (ABCWUA) began treatment and distribution of surface water from the Rio Grande through the San Juan-Chama Drinking Water Project.

An initial network of wells was established by the U.S. Geological Survey (USGS) in cooperation with the City of Albuquerque from April 1982 through September 1983 to monitor changes in groundwater levels throughout the Albuquerque Basin. In 1983, this network consisted of 6 wells with analog-to-digital recorders and 27 wells where water levels were measured monthly. The network currently (2017) consists of 122 wells and piezometers. (A piezometer is a specialized well open to a specific depth in the aquifer, often of small diameter and nested with other piezometers open to different depths.) The USGS, in cooperation with the ABCWUA and the New Mexico Office of the State Engineer, currently (2017) measures and reports water levels from the 122 wells and piezometers in the network; this report presents water-level data collected by USGS personnel at those 122 sites through water years 2016 and 2017 (October 1, 2015, through September 30, 2017). Water levels that were collected from wells in previous water years were published in previous USGS reports.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1113","collaboration":"Prepared in cooperation with the Albuquerque Bernalillo County Water Utility Authority","usgsCitation":"Beman, J.E., Ritchie, A.B., and Galanter, A.E., 2019, Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2017 (ver. 1.1, August 2021): U.S. Geological Survey Data Series 1113, 39 p., https://doi.org/10.3133/ds1113.","productDescription":"iii, 39 p.","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-106011","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":362978,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1113/coverthb2.jpg"},{"id":388366,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1113/ds1113.pdf","text":"Report","size":"5.66 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1113"},{"id":388367,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/ds/1113/versionHist.txt","text":"Version History","size":"575 B","linkFileType":{"id":2,"text":"txt"},"description":"DS 1113 Version History"}],"country":"United States","state":"New Mexico","otherGeospatial":"Albuquerque Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.57812499999999,\n 33.710632271492095\n ],\n [\n -106.14990234375,\n 33.710632271492095\n ],\n [\n -106.14990234375,\n 35.764343479667176\n ],\n [\n -107.57812499999999,\n 35.764343479667176\n ],\n [\n -107.57812499999999,\n 33.710632271492095\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.1: August 2021","contact":"

Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE
Albuquerque, NM 87113

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-04-16","revisedDate":"2021-08-25","noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Beman, Joseph E. 0000-0002-0689-029X jebeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0689-029X","contributorId":214613,"corporation":false,"usgs":true,"family":"Beman","given":"Joseph","email":"jebeman@usgs.gov","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ritchie, Andre B. 0000-0003-1289-653X","orcid":"https://orcid.org/0000-0003-1289-653X","contributorId":214611,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andre","email":"","middleInitial":"B.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galanter, Amy E. 0000-0002-2960-0136","orcid":"https://orcid.org/0000-0002-2960-0136","contributorId":214612,"corporation":false,"usgs":true,"family":"Galanter","given":"Amy E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760393,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70215592,"text":"70215592 - 2019 - Mechanisms of a coniferous refugium persistence under drought and heat","interactions":[],"lastModifiedDate":"2020-10-25T17:51:11.992152","indexId":"70215592","displayToPublicDate":"2019-04-16T12:47:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Mechanisms of a coniferous refugium persistence under drought and heat","docAbstract":"

Predictions of warmer droughts causing increasing forest mortality are becoming abundant, yet few studies have investigated the mechanisms of forest persistence. To examine the resistance of forests to warmer droughts, we used a five-year precipitation reduction (~45% removal), heat (+4 °C above ambient) and combined drought and heat experiment in an isolated stand of mature Pinus edulis-Juniperus monosperma. Despite severe experimental drought and heating, no trees died, and we observed only minor evidence of hydraulic failure or carbon starvation. Two mechanisms promoting survival were supported. First, access to bedrock water, or 'hydraulic refugia' aided trees in their resistance to the experimental conditions. Second, the isolation of this stand amongst a landscape of dead trees precluded ingress by Ips confusus, frequently the ultimate biotic mortality agent of piñon. These combined abiotic and biotic landscape-scale processes can moderate the impacts of future droughts on tree mortality by enabling tree avoidance of hydraulic failure, carbon starvation, and exposure to attacking abiotic agents.

","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/ab0921","usgsCitation":"McDowell, N.G., Grossiord, C., Adams, H.D., Pinzon-Navarro, S., MacKay, D.S., Breshears, D., Allen, C.D., Borrego, I., Dickman, L.T., and Collins, A.D., 2019, Mechanisms of a coniferous refugium persistence under drought and heat: Environmental Research Letters, v. 14, no. 4, 045014, 14 p., https://doi.org/10.1088/1748-9326/ab0921.","productDescription":"045014, 14 p.","ipdsId":"IP-105101","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467697,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ab0921","text":"Publisher Index Page"},{"id":379721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"McDowell, Nate G.","contributorId":207743,"corporation":false,"usgs":false,"family":"McDowell","given":"Nate","email":"","middleInitial":"G.","affiliations":[{"id":37622,"text":"Earth Systems Science Division, Pacific Northwest National Laboratory","active":true,"usgs":false}],"preferred":false,"id":802874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grossiord, Charlotte","contributorId":207749,"corporation":false,"usgs":false,"family":"Grossiord","given":"Charlotte","email":"","affiliations":[{"id":37625,"text":"Earth and Environmental Sciences Division, Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":802875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Henry D.","contributorId":218785,"corporation":false,"usgs":false,"family":"Adams","given":"Henry","email":"","middleInitial":"D.","affiliations":[{"id":39910,"text":"Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM 87544, USA","active":true,"usgs":false}],"preferred":false,"id":802876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pinzon-Navarro, Sara","contributorId":243957,"corporation":false,"usgs":false,"family":"Pinzon-Navarro","given":"Sara","email":"","affiliations":[{"id":48775,"text":"Univ. de Panama","active":true,"usgs":false}],"preferred":false,"id":802877,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"MacKay, D. Scott","contributorId":243958,"corporation":false,"usgs":false,"family":"MacKay","given":"D.","email":"","middleInitial":"Scott","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":802878,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Breshears, Dave","contributorId":243959,"corporation":false,"usgs":false,"family":"Breshears","given":"Dave","email":"","affiliations":[{"id":28236,"text":"Univ of Arizona","active":true,"usgs":false}],"preferred":false,"id":802879,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":802880,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Borrego, Isaac","contributorId":207748,"corporation":false,"usgs":false,"family":"Borrego","given":"Isaac","email":"","affiliations":[{"id":37625,"text":"Earth and Environmental Sciences Division, Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":802881,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dickman, L. Turin","contributorId":199441,"corporation":false,"usgs":false,"family":"Dickman","given":"L.","email":"","middleInitial":"Turin","affiliations":[],"preferred":false,"id":802882,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Collins, Adam D.","contributorId":199440,"corporation":false,"usgs":false,"family":"Collins","given":"Adam","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":802883,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70203540,"text":"70203540 - 2019 - Examination of Bathymodiolus childressi nutritional sources, isotopic niches, and food-web linkages at two seeps in the US Atlantic margin using stable isotope analysis and mixing models","interactions":[],"lastModifiedDate":"2019-08-19T16:48:54","indexId":"70203540","displayToPublicDate":"2019-04-16T12:34:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1369,"text":"Deep Sea Research Part A, Oceanographic Research Papers","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Examination of Bathymodiolus childressi nutritional sources, isotopic niches, and food-web linkages at two seeps in the US Atlantic margin using stable isotope analysis and mixing models","title":"Examination of Bathymodiolus childressi nutritional sources, isotopic niches, and food-web linkages at two seeps in the US Atlantic margin using stable isotope analysis and mixing models","docAbstract":"

Chemosynthetic environments support distinct benthic communities capable of utilizing reduced chemical compounds for nutrition. Hundreds of methane seeps have been documented along the U.S. Atlantic margin (USAM), and detailed investigations at a few seeps have revealed distinct environments containing mussels, microbial mats, authigenic carbonates, and soft sediments. The dominant mussel, Bathymodiolus childressi, contains methanotrophic endosymbionts but is also capable of filter feeding, and stable isotope analysis (SIA) of mussel-shell periostracum suggests that these mussels are mixotrophic, assimilating multiple food resources. However, it is unknown whether mixotrophy is widespread or varies spatially and temporally. We used SIA (δ13C, δ15N, and δ34S) and an isotope mixing model (MixSIAR) to estimate resource contribution to B. childressi and characterize food webs at two seep sites (Baltimore Seep; 400 m and Norfolk Seep; 1500 m depths) along the USAM, and applied a linear mixed-effects model to explore the role of mussel population density and tissue type in influencing SIA variance. After controlling for location and temporal variation, isotopic variability was a function of proportion of live mussels present and tissue type. Isotopic differences were also spatially discrete, possibly reflecting variations in the underlying carbon source at the two sites. Low mussel δ13C values (∼−63‰) are consistent with a dependence on microbial methane. However, MixSIAR results revealed mixotrophy for mussels at both sites, implying a reliance on a mixture of methane and phytoplankton-derived particulate organic material. The mixing model results also reveal population density-driven patterns, suggesting that resource use is a function of live mussel abundance. Mussel isotopes differed by tissue type, with gill having the lowest δ15N values relative to muscle and mantle tissues. Based on mass balance equations, up to 79% of the dissolved inorganic carbon (DIC) of the pore fluids within the anaerobic oxidation of the methane zone is derived from methane and available to fuel upper slope deep-sea communities, such as fishes (Dysommina rugosa and Symphurus nebulosus), echinoderms (Odontaster robustus, Echinus wallisi, and Gracilechinus affinis), and shrimp, (Alvinocaris markensis). The presence of these seeps thereby increases the overall trophic and community diversity of the USAM continental slope. Given the presence of hundreds of seeps within the region, primary production at seeps may serve as an important, yet unquantified, energy source to the USAM deep-sea environment.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr.2019.04.002","usgsCitation":"Demopoulos, A., McClain Counts, J., Bourque, J.R., Prouty, N.G., Smith, B., Brooke, S., Ross, S., and Ruppel, C., 2019, Examination of Bathymodiolus childressi nutritional sources, isotopic niches, and food-web linkages at two seeps in the US Atlantic margin using stable isotope analysis and mixing models: Deep Sea Research Part A, Oceanographic Research Papers, v. 148, p. 53-66, https://doi.org/10.1016/j.dsr.2019.04.002.","productDescription":"14 p.","startPage":"53","endPage":"66","ipdsId":"IP-102400","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467698,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dsr.2019.04.002","text":"Publisher Index Page"},{"id":437497,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92KEVAT","text":"USGS data release","linkHelpText":"Stable isotopic insights into Bathymodiolus childressi at two seeps in the US Atlantic margin, data release"},{"id":364051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, North Carolina, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.255859375,\n 34.379712580462204\n ],\n [\n -72.630615234375,\n 34.45221847282654\n ],\n [\n -72.57568359375,\n 39.41922073655956\n ],\n [\n -77.255859375,\n 39.52946653645165\n ],\n [\n -77.255859375,\n 34.379712580462204\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"148","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Demopoulos, Amanda 0000-0003-2096-4694","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":215717,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":763067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McClain Counts, Jennifer 0000-0002-3383-5472","orcid":"https://orcid.org/0000-0002-3383-5472","contributorId":215718,"corporation":false,"usgs":true,"family":"McClain Counts","given":"Jennifer","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":763068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bourque, Jill R. 0000-0003-3809-2601","orcid":"https://orcid.org/0000-0003-3809-2601","contributorId":215719,"corporation":false,"usgs":true,"family":"Bourque","given":"Jill","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":763069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":215720,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":763071,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Brian 0000-0002-0531-0492","orcid":"https://orcid.org/0000-0002-0531-0492","contributorId":215722,"corporation":false,"usgs":true,"family":"Smith","given":"Brian","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":763074,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brooke, Sandra","contributorId":150169,"corporation":false,"usgs":false,"family":"Brooke","given":"Sandra","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":763070,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ross, Steve W.","contributorId":41134,"corporation":false,"usgs":false,"family":"Ross","given":"Steve W.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":763072,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ruppel, Carolyn 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":215721,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":763073,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70203628,"text":"70203628 - 2019 - North-facing slopes and elevation shape asymmetric genetic structure in the range-restricted salamander Plethodon shenandoah","interactions":[],"lastModifiedDate":"2019-05-28T11:55:12","indexId":"70203628","displayToPublicDate":"2019-04-16T11:54:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"North-facing slopes and elevation shape asymmetric genetic structure in the range-restricted salamander Plethodon shenandoah","docAbstract":"Species with narrow environmental preferences are often distributed across fragmented patches of suitable habitat, and dispersal among subpopulations can be difficult to directly observe. Genetic data collected at population centers can help quantify gene flow, which is especially important for vulnerable species with a disjunct range. Plethodon shenandoah is a Federally Endangered salamander known only from three mountaintops in Virginia, USA. To reconstruct the evolutionary history and population connectivity of this species, we generated both mitochondrial and nuclear data using sequence capture for all three populations and found strong population structure that was independent of geographic distance. Both the nuclear markers and mitochondrial genome indicated a deep split between the most southern population and the combined central and northern population. Although there was some mitochondrial haplotype-splitting between the central and northern populations, there was complete admixture in nuclear markers. This is indicative of either a recent split or current male-biased dispersal among mountain isolates. Models of landscape resistance found that dispersal across north-facing slopes at mid-elevation levels best explain the observed genetic structure among populations. These unexpected results highlight the importance of landscape features in understanding and predicting movement and fragmentation of salamanders across space.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5064","usgsCitation":"Mulder, K., Cortes-Rodriguez, N., Brand, A.B., Campbell Grant, E.H., and Fleischer, R.C., 2019, North-facing slopes and elevation shape asymmetric genetic structure in the range-restricted salamander Plethodon shenandoah: Ecology and Evolution, v. 9, no. 9, p. 5094-5105, https://doi.org/10.1002/ece3.5064.","productDescription":"12 p.","startPage":"5094","endPage":"5105","ipdsId":"IP-102918","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467699,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5064","text":"Publisher Index Page"},{"id":364188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"9","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Mulder, KP","contributorId":215882,"corporation":false,"usgs":false,"family":"Mulder","given":"KP","email":"","affiliations":[{"id":36858,"text":"Smithsonian","active":true,"usgs":false}],"preferred":false,"id":763321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cortes-Rodriguez, Nandadevi","contributorId":215883,"corporation":false,"usgs":false,"family":"Cortes-Rodriguez","given":"Nandadevi","email":"","affiliations":[{"id":36858,"text":"Smithsonian","active":true,"usgs":false}],"preferred":false,"id":763322,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brand, Adrianne B. 0000-0003-2664-0041 abrand@usgs.gov","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":3352,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","email":"abrand@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":763323,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":763320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fleischer, Robert C.","contributorId":127479,"corporation":false,"usgs":false,"family":"Fleischer","given":"Robert","email":"","middleInitial":"C.","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":763324,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70223248,"text":"70223248 - 2019 - Patterns of acoustical activity of bats prior to and 10 years after WNS on Fort Drum Army Installation, New York","interactions":[],"lastModifiedDate":"2021-08-19T16:41:35.486563","indexId":"70223248","displayToPublicDate":"2019-04-16T11:31:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of acoustical activity of bats prior to and 10 years after WNS on Fort Drum Army Installation, New York","docAbstract":"

Previous acoustic surveys, netting, and count data have shown that overall bat activity patterns have shifted among most species between pre- and post-white-nose syndrome (WNS) years in much of North America where WNS has occurred. However, the significance of these changes is based on the species-specific susceptibility to WNS. We used acoustically recorded echolocation passes obtained at Fort Drum, New York to describe changes in bat activity pre-WNS (2004–2007) to post-WNS (2008–2018). We examined seasonal and yearly changes in bat activity as they relate to the presence of WNS at hibernacula near (<25 km) Fort Drum. A priori, we expected that overall activity for communal hibernating species would be less in years following WNS, and migratory bats or those hibernating bats that are less affected by WNS would show no response or a positive response, due to niche relaxation/competitive release. Our results indicated both an overall and seasonal decrease in activity for Myotis spp. post-WNS. For WNS-susceptible species, our results reflect the high level of mortality in regional winter hibernacula post-WNS and possibly variable reproductive effort and recruitment thereafter. Although migratory bats did show increases in post-WNS activity throughout the summer, we found little evidence that community displacement was occurring on a nightly level by any species. The continuous spread of WNS across North America has had strong negative effects on bat populations of affected species, and our research identifies how individual species (both impacted and non-impacted) respond to WNS.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2019.e00633","usgsCitation":"Nocera, T., Ford, W., Silvis, A., and Dobony, C., 2019, Patterns of acoustical activity of bats prior to and 10 years after WNS on Fort Drum Army Installation, New York: Global Ecology and Conservation, v. 18, e00633, 9 p., https://doi.org/10.1016/j.gecco.2019.e00633.","productDescription":"e00633, 9 p.","ipdsId":"IP-101098","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467700,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2019.e00633","text":"Publisher Index Page"},{"id":388163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Fort Drum Army Installation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.574951171875,\n 44.006644643819655\n ],\n [\n -75.36895751953125,\n 44.188112606916484\n ],\n [\n -75.56121826171875,\n 44.268804788566165\n ],\n [\n -75.8660888671875,\n 44.05403780323783\n ],\n [\n -75.75897216796875,\n 43.98688630934305\n ],\n [\n -75.574951171875,\n 44.006644643819655\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nocera, Tomás","contributorId":264429,"corporation":false,"usgs":false,"family":"Nocera","given":"Tomás","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":821525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":821524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Silvis, Alexander","contributorId":264430,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","affiliations":[{"id":54475,"text":"RES Inc","active":true,"usgs":false}],"preferred":false,"id":821526,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dobony, Christopher A.","contributorId":264431,"corporation":false,"usgs":false,"family":"Dobony","given":"Christopher A.","affiliations":[{"id":54476,"text":"Fort Drum","active":true,"usgs":false}],"preferred":false,"id":821527,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203554,"text":"70203554 - 2019 - Monitoring the Riverine Pulse: Applying high-frequency nitrate data to advance integrative understanding of biogeochemical and hydrological processes","interactions":[],"lastModifiedDate":"2019-05-23T07:29:18","indexId":"70203554","displayToPublicDate":"2019-04-16T09:48:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring the Riverine Pulse: Applying high-frequency nitrate data to advance integrative understanding of biogeochemical and hydrological processes","docAbstract":"Widespread deployment of sensors that measure river nitrate (NO3-) concentrations has led to many recent publications in water resources journals including review papers focused on data quality assurance, improved load calculations, and better nutrient management. The principal objective of this paper is to review and synthesize studies of high-frequency NO3- data that have aimed to improve understanding of the hydrologic and biogeochemical processes underlying episodic, diel, and long-term stream NO3- dynamics. Investigations have provided unprecedented detail on hysteresis and flushing patterns during high flow, seasonal variation during baseflow, and responses to multi-year climate variation. Analyses of high-frequency data have led to notable advances in understanding how climate variation affects spatial and temporal NO3- patterns, especially dry-wet cycles and antecedent moisture. Further advances have been limited by few investigations that include high-frequency measurements outside the channel and the short duration of many records. High-frequency data for multiple constituents have provided new insight to the relative roles of hydrology and biogeochemistry as highlighted by studies of the roles of autotrophic uptake, denitrification, riparian evapotranspiration, and temperature-driven changes in viscosity as drivers of diel patterns. Comparisons of short-duration high-frequency data with long-duration low frequency data have described similarities and differences in concentration – discharge patterns and highlighted the role of legacy stores. Investigators have applied innovative analysis approaches not previously possible with low-frequency or temporally-irregular data. Future availability of long-duration high-frequency data will provide new insight to processes, resulting in improved conceptual models and a deeper understanding of the role of climate variation.","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1348","usgsCitation":"Burns, D., Pellerin, B., Miller, M.P., Capel, P., Tesoriero, A.J., and Duncan, J.M., 2019, Monitoring the Riverine Pulse: Applying high-frequency nitrate data to advance integrative understanding of biogeochemical and hydrological processes: WIREs Water, 24 p., https://doi.org/10.1002/wat2.1348.","productDescription":"24 p.","ipdsId":"IP-102881","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":467701,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wat2.1348","text":"Publisher Index Page"},{"id":364086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":202943,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":763123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pellerin, Brian A. 0000-0003-3712-7884","orcid":"https://orcid.org/0000-0003-3712-7884","contributorId":204324,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian A.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":763124,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Matthew P. 0000-0002-2537-1823 mamiller@usgs.gov","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":3919,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew","email":"mamiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763125,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Capel, Paul 0000-0003-1020-5185 capel@usgs.gov","orcid":"https://orcid.org/0000-0003-1020-5185","contributorId":215743,"corporation":false,"usgs":true,"family":"Capel","given":"Paul","email":"capel@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":763126,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tesoriero, Anthony J. 0000-0003-4674-7364 tesorier@usgs.gov","orcid":"https://orcid.org/0000-0003-4674-7364","contributorId":2693,"corporation":false,"usgs":true,"family":"Tesoriero","given":"Anthony","email":"tesorier@usgs.gov","middleInitial":"J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763127,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duncan, Jonathan M.","contributorId":207569,"corporation":false,"usgs":false,"family":"Duncan","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":763128,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203402,"text":"70203402 - 2019 - Peak ground displacement saturates exactly when expected: Implications for earthquake early warning","interactions":[],"lastModifiedDate":"2019-12-22T14:25:52","indexId":"70203402","displayToPublicDate":"2019-04-16T09:27:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Peak ground displacement saturates exactly when expected: Implications for earthquake early warning","docAbstract":"The scaling of rupture properties with magnitude is of critical importance to earthquake early warning (EEW) systems that rely on source characterization using limited snapshots of waveform data. ShakeAlert, a prototype EEW system that is being developed for the western United States, provides real-time estimates of earthquake magnitude based on P-wave peak ground displacements measured at stations triggered by the event. The algorithms used in ShakeAlert assume that the displacement measurements at each station are statistically independent and that there exists a linear and time-independent relation between log peak ground displacement and earthquake magnitude. Here we challenge this basic assumption using a comprehensive database of more than 130,000 vertical component waveforms from M4.5-M9 earthquakes occurring near Japan from 1997 through 2017 and recorded by the K-NET and KiK-net strong-motion networks. By analyzing the time-evolution of P-wave peak ground displacements for these earthquakes, we show that there is a break, or saturation, in the magnitude-displacement scaling that depends on the length of the measurement time window. We demonstrate that the magnitude at which this saturation occurs is well-explained by a simple and non-deterministic model of earthquake rupture growth. We then use the predictions of this saturation model to develop a Bayesian framework for estimating posterior uncertainties in real-time magnitude estimates which incorporates the expected time-dependence of the peak displacement measurements.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JB017093","usgsCitation":"Trugman, D.T., Page, M.T., Minson, S.E., and Cochran, E.S., 2019, Peak ground displacement saturates exactly when expected: Implications for earthquake early warning: Journal of Geophysical Research B: Solid Earth, v. 124, no. 5, p. 4642-4653, https://doi.org/10.1029/2018JB017093.","productDescription":"12 p.","startPage":"4642","endPage":"4653","ipdsId":"IP-103663","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":460405,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jb017093","text":"Publisher Index Page"},{"id":363713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 128.2763671875,\n 32.69486597787505\n ],\n [\n 130.3857421875,\n 29.57345707301757\n ],\n [\n 141.8115234375,\n 35.496456056584165\n ],\n [\n 142.734375,\n 41.50857729743935\n ],\n [\n 146.42578125,\n 43.26120612479979\n ],\n [\n 144.84375,\n 44.465151013519616\n ],\n [\n 141.6796875,\n 45.82879925192134\n ],\n [\n 140.9765625,\n 45.24395342262324\n ],\n [\n 138.9111328125,\n 41.934976500546604\n ],\n [\n 138.9111328125,\n 38.238180119798635\n ],\n [\n 130.166015625,\n 34.88593094075317\n ],\n [\n 128.2763671875,\n 32.69486597787505\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"124","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Trugman, Daniel T.","contributorId":197011,"corporation":false,"usgs":false,"family":"Trugman","given":"Daniel","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":762534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":762533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":762535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":762536,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}