{"pageNumber":"842","pageRowStart":"21025","pageSize":"25","recordCount":184617,"records":[{"id":70210391,"text":"70210391 - 2018 - Exploring viable geologic interpretations of gravity models using distance-based global sensitivity analysis and kernel methods","interactions":[],"lastModifiedDate":"2020-06-02T12:59:15.958554","indexId":"70210391","displayToPublicDate":"2018-07-18T07:53:13","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1808,"text":"Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Exploring viable geologic interpretations of gravity models using distance-based global sensitivity analysis and kernel methods","docAbstract":"We have explored ways to integrate alternative geologic interpretations into the modeling of gravity data. These methods are applied to the Vaca Fault east of Fairfield, California, USA, where the structure across the fault is in question, and the Vaca Fault is used as a case study to demonstrate the method. The Vaca Fault is modeled using gravity data collected along a 10 km line perpendicular to the strike of the fault. Of particular interest is how the gravity data might inform on the dip of the Vaca Fault and thickness of the nonmarine section and whether spatial autocorrelation of density internal to the geologic units significantly influences the resulting gravity anomaly. We approach these questions by creating a suite of structural geologic models, which we then populate with geostatistically generated densities and from which the respective synthetic gravity anomalies are calculated. We perform distance-based generalized sensitivity analysis to identify which model inputs most leverage the calculated gravity anomaly. We then use multidimensional scaling to transform the gravity anomalies into a metric space and estimate the posterior probabilities of each structural geologic model using a Bayesian approach. We find that the gravity anomalies are particularly sensitive to zones of autocorrelated density values generated from geostatistical modeling. The structural geologic models most likely to produce gravity anomalies that match the observed data are the moderately dipping normal faults, 45° and 60°, although the probability that the fault dips more steeply, including in a strike slip or reverse fault orientation, is approximately 30%. The probability of a thicker nonmarine unit is 67%, more probable than a thinner nonmarine unit. This suggests that the Vaca Fault dips moderately to the east and truncates a thicker nonmarine unit, but that any further process modeling should include alternatives of the geologic structures.","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/geo2017-0742.1","usgsCitation":"Phelps, G., Scheidt, C., and Caers, J., 2018, Exploring viable geologic interpretations of gravity models using distance-based global sensitivity analysis and kernel methods: Geophysics, v. 5, no. 83, p. G79-G92, https://doi.org/10.1190/geo2017-0742.1.","productDescription":"14 p.","startPage":"G79","endPage":"G92","ipdsId":"IP-089675","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":375240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.98071289062499,\n              36.721273880045004\n            ],\n            [\n              -118.3447265625,\n              36.721273880045004\n            ],\n            [\n              -118.3447265625,\n              39.791654835253425\n            ],\n            [\n              -123.98071289062499,\n              39.791654835253425\n            ],\n            [\n              -123.98071289062499,\n              36.721273880045004\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"5","issue":"83","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Phelps, Geoffrey 0000-0003-1958-2736 gphelps@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-2736","contributorId":127489,"corporation":false,"usgs":true,"family":"Phelps","given":"Geoffrey","email":"gphelps@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":790143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scheidt, Celine","contributorId":225060,"corporation":false,"usgs":false,"family":"Scheidt","given":"Celine","email":"","affiliations":[{"id":41031,"text":"Stanford Center for Reservoir Forecasting","active":true,"usgs":false}],"preferred":false,"id":790144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caers, Jef","contributorId":225061,"corporation":false,"usgs":false,"family":"Caers","given":"Jef","email":"","affiliations":[{"id":41032,"text":"Dept of Geological Sciences Stanford University","active":true,"usgs":false}],"preferred":false,"id":790145,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198115,"text":"70198115 - 2018 - Conservation threats and priorities for raptors across Asia","interactions":[],"lastModifiedDate":"2018-07-18T10:26:47","indexId":"70198115","displayToPublicDate":"2018-07-18T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Conservation threats and priorities for raptors across Asia","docAbstract":"With long coastlines and some of the world’s most important rivers, mountain ranges, high-altitude plateaus, and islands, Asia is the largest and most populous continent in the world (Lyde 1904; Spencer 1954; Population Reference Bureau 2016). Asia supports all major terrestrial ecosystems and all major climatic types (Galloway et al. 1998; Braimoh and Huang 2015). These include barren ice fields and taigas in North Asia; boreal forests and cold deserts in West, Central, and East Asia; temperate and tropical forests (wet and dry) in East and Southeast Asia; and grasslands in Central and South Asia (Udvardy 1975; Braimoh and Huang 2015). Together, the ecoregions of Asia foster some of the greatest biodiversity on Earth, including six (24%) of 25 global biodiversity hotspots (Myers et al. 2000).","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Birds of Prey","language":"English","publisher":"Springer","doi":"10.1007/978-3-319-73745-4_17","usgsCitation":"Conception, C.B., Bildstein, K.L., Collar, N.J., and Katzner, T., 2018, Conservation threats and priorities for raptors across Asia, chap. <i>of</i> Birds of Prey, p. 395-418, https://doi.org/10.1007/978-3-319-73745-4_17.","productDescription":"24 p.","startPage":"395","endPage":"418","ipdsId":"IP-096514","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":355769,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-01","publicationStatus":"PW","scienceBaseUri":"5b6fc410e4b0f5d57878e9b5","contributors":{"authors":[{"text":"Conception, Camille B.","contributorId":206321,"corporation":false,"usgs":false,"family":"Conception","given":"Camille","email":"","middleInitial":"B.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":740081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bildstein, Keith L.","contributorId":150854,"corporation":false,"usgs":false,"family":"Bildstein","given":"Keith","email":"","middleInitial":"L.","affiliations":[{"id":18119,"text":"Hawk Mountain Sanctuary, Acopian Center for Conservation Learning","active":true,"usgs":false}],"preferred":false,"id":740082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collar, Nigel J.","contributorId":206322,"corporation":false,"usgs":false,"family":"Collar","given":"Nigel","email":"","middleInitial":"J.","affiliations":[{"id":37309,"text":"BirdLife International","active":true,"usgs":false}],"preferred":false,"id":740083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":740080,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198156,"text":"70198156 - 2018 - Secondary hydrogeologic regions of the conterminous United States","interactions":[],"lastModifiedDate":"2019-05-28T16:27:37","indexId":"70198156","displayToPublicDate":"2018-07-18T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Secondary hydrogeologic regions of the conterminous United States","docAbstract":"The U.S. Geological Survey (USGS) previously identified and mapped 62 Principal Aquifers (PAs) in the U.S., with 57 located in the conterminous states.  Areas outside of PAs, which account for about 40% of the conterminous U.S., were collectively identified as “other rocks.”  This paper, for the first time, subdivides this large area into internally-consistent features, defined here as Secondary Hydrogeologic Regions (SHRs).  SHRs are areas of other rock within which the rocks or deposits are of comparable age, lithology, geologic or physiographic setting, and relationship to the presence or absence of underling PAs or overlying glacial deposits.  A total of 69 SHRs were identified.  The number and size of SHRs identified in this paper are comparable to the number and size of PAs previously identified by the USGS.\n\nFrom a two-dimensional perspective, SHRs are complementary to PAs, mapped only where the PAs were not identified on the USGS PA map and not mapped where the PAs were identified.  SHRs generally consist of low permeability rocks or deposits, but can include locally productive aquifers.  The two maps, taken together, provide a comprehensive, national-scale hydrogeologic framework for assessing and understanding groundwater systems.","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12806","usgsCitation":"Belitz, K., Watson, E., Johnson, T.D., and Sharpe, J.B., 2018, Secondary hydrogeologic regions of the conterminous United States: Groundwater, v. 57, no. 3, p. 367-377, https://doi.org/10.1111/gwat.12806.","productDescription":"11 p.","startPage":"367","endPage":"377","ipdsId":"IP-093277","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468578,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.12806","text":"Publisher Index Page"},{"id":437825,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7F76BSS","text":"USGS data release","linkHelpText":"Data Release for Secondary Hydrogeologic Regions of the 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,{"id":70198173,"text":"70198173 - 2018 - Post-fledging movements and habitat associations of White-tailed Sea Eagles (Haliaeetus albicilla) in Central Asia","interactions":[],"lastModifiedDate":"2018-11-14T09:54:54","indexId":"70198173","displayToPublicDate":"2018-07-18T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Post-fledging movements and habitat associations of White-tailed Sea Eagles (Haliaeetus albicilla) in Central Asia","docAbstract":"Behavior of young birds can have important consequences for population dynamics. We investigated the autumnal post-fledging movements of 3 White-tailed Sea Eagles (Haliaeetus albicilla) hatched in Kazakhstan. All 3 eagles traveled south, flying on average 25–108 km/d. Movement was nonrandom, with eagles generally traveling near mosaics of forest, open areas, and water, and rarely using areas with little vegetation. As the first study of movements of White-tailed Sea Eagles in arid Central Asia, this study provides insight into potential limiting factors and how these birds interact with their environment during long-distance movements.","language":"English","publisher":"Wilson Ornithological Society","doi":"10.1676/17-055.1","usgsCitation":"Bragin, E.A., Poessel, S.A., Lanzone, M.J., and Katzner, T., 2018, Post-fledging movements and habitat associations of White-tailed Sea Eagles (Haliaeetus albicilla) in Central Asia: Wilson Journal of Ornithology, v. 130, no. 3, p. 784-788, https://doi.org/10.1676/17-055.1.","productDescription":"5 p.","startPage":"784","endPage":"788","ipdsId":"IP-084317","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":355814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3f7e4b0f5d57878e995","contributors":{"authors":[{"text":"Bragin, Evgeny A.","contributorId":194894,"corporation":false,"usgs":false,"family":"Bragin","given":"Evgeny","email":"","middleInitial":"A.","affiliations":[{"id":35656,"text":"Science Department, Naurzum National Nature Reserve, Kostanay Oblast, Naurzumski Raijon, Karamendy, Kazakhstan","active":true,"usgs":false}],"preferred":false,"id":740423,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poessel, Sharon A. 0000-0002-0283-627X spoessel@usgs.gov","orcid":"https://orcid.org/0000-0002-0283-627X","contributorId":168465,"corporation":false,"usgs":true,"family":"Poessel","given":"Sharon","email":"spoessel@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":740421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lanzone, Michael J.","contributorId":147851,"corporation":false,"usgs":false,"family":"Lanzone","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":13392,"text":"Cellular Tracking Technologies","active":true,"usgs":false}],"preferred":false,"id":740424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":740422,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198165,"text":"70198165 - 2018 - Controls on submarine canyon head evolution: Monterey Canyon, offshore central California","interactions":[],"lastModifiedDate":"2018-07-19T09:40:54","indexId":"70198165","displayToPublicDate":"2018-07-18T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Controls on submarine canyon head evolution: Monterey Canyon, offshore central California","docAbstract":"The Monterey submarine canyon, incised across the continental shelf in Monterey Bay, California, provides a record of the link between onshore tectonism, fluvial transport, and deep-marine deposition. High-resolution seismic-reflection imaging in Monterey Bay reveals an extensive paleocanyon unit buried below the seafloor of the continental shelf around Monterey and Soquel canyon heads. Paleocanyons shifted position through numerous phases of cut-and-fill in response to Salinas, Pajaro, and San Lorenzo river extensions and avulsions across the continental shelf during high-frequency Pleistocene sea-level and climatic variations. Five seismic facies within the Monterey paleocanyon unit and below the modern canyon are defined to interpret canyon evolution during the Pleistocene. Repeated sea-level oscillations appear to have switched the main fairway(s) of sediment transport. Large-scale erosion and fill occurred in marine environments. Paleocanyon fill is characterized by paleo-axial channel deposits and mass transport deposits, followed by canyon head abandonment and marine sedimentation. The upper portion of the paleocanyon unit contains relatively small channels that were likely incised by erosion in the paleo-Salinas and Pajaro rivers and filled with a mix of nonmarine and marine deposits. Shifting position of submarine canyons over time is characteristic of Monterey Bay, east of the Monterey Bay Fault Zone, and is likely unidentified in other submarine canyon head regions that lack dense high-resolution seismic-reflection subbottom images. We show that canyon heads can be areas of sediment accumulation linked to sea-level oscillations, providing new insights into submarine canyon evolution and sequence stratigraphy.","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2018.06.014","usgsCitation":"Maier, K.L., Johnson, S.Y., and Hart, P.E., 2018, Controls on submarine canyon head evolution: Monterey Canyon, offshore central California: Marine Geology, v. 404, p. 24-40, https://doi.org/10.1016/j.margeo.2018.06.014.","productDescription":"17 p.","startPage":"24","endPage":"40","ipdsId":"IP-097161","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468577,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.margeo.2018.06.014","text":"Publisher Index Page"},{"id":355820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Monterey Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.92529296875,\n              34.831841149828655\n            ],\n            [\n              -121.28906250000001,\n              34.831841149828655\n            ],\n            [\n              -121.28906250000001,\n              38.90813299596705\n            ],\n            [\n              -125.92529296875,\n              38.90813299596705\n            ],\n            [\n              -125.92529296875,\n              34.831841149828655\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"404","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc40ee4b0f5d57878e9ab","contributors":{"authors":[{"text":"Maier, Katherine L. 0000-0003-2908-3340 kcoble@usgs.gov","orcid":"https://orcid.org/0000-0003-2908-3340","contributorId":4926,"corporation":false,"usgs":true,"family":"Maier","given":"Katherine","email":"kcoble@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":740367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Samuel Y. 0000-0001-7972-9977 sjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-7972-9977","contributorId":2607,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel","email":"sjohnson@usgs.gov","middleInitial":"Y.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":740366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":740368,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70197776,"text":"sir20185080 - 2018 - Simulation of potential groundwater recharge for the glacial aquifer system east of the Rocky Mountains, 1980–2011, using the Soil-Water-Balance Model","interactions":[],"lastModifiedDate":"2018-07-18T14:21:54","indexId":"sir20185080","displayToPublicDate":"2018-07-18T00:00:00","publicationYear":"2018","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":"2018-5080","title":"Simulation of potential groundwater recharge for the glacial aquifer system east of the Rocky Mountains, 1980–2011, using the Soil-Water-Balance Model","docAbstract":"<p>An understanding of the spatial and temporal extent of groundwater recharge is critical for many types of hydrologic assessments involving water quality, contaminant transport, ecosystem health, and sustainable use of groundwater. Annual potential groundwater recharge was simulated at a 1-kilometer resolution with the Soil-Water-Balance (SWB) model for the glacial aquifer system east of the Rocky Mountains, from central Montana east to Maine, for calendar years 1980–2011. The SWB model used high resolution meteorological, land cover, and soil hydrology datasets that are nationally consistent and publicly available. The SWB model computed daily potential groundwater recharge as precipitation in excess of interception, runoff, evapotranspiration, and soil-water storage capacity. Daily potential recharge values within each year of the simulation were summed to produce annual potential recharge rates. Potential recharge as described in this report is water that infiltrates vertically below the plant rooting zone and is assumed to reach the water table.</p><p>The calibrated SWB model in this report is called the glacial SWB model. Model calibration assumed that the area contributing to groundwater discharge equaled the surface watershed. The model was calibrated to stream base flows from 39 watersheds throughout the model domain that had hydrologic conditions appropriate for hydrograph separation. Base flows were calculated from daily streamflow records with the HYSEP local minimum hydrograph separation method The glacial SWB model reproduced the mean annual base-flow calibration targets well; the Nash-Sutcliffe efficiency coefficient was 0.94, and the root mean squared error was 1.28 inches per year.</p><p>The glacial SWB model provides insight into the spatial and temporal variability in potential annual recharge across the glacial aquifer system. About 20 percent of the active model area had an average potential recharge rate of less than 1 inch per year. Total precipitation, total recharge, and recharge as a percentage of precipitation increased from west to east. A substantial amount of the recharge water (39 percent) entering the glacial aquifer system travels through developed (urbanized) and agricultural landscapes, which are known to cause water-quality impairments. Regional climatic events, such as the 1988 to 1989 drought, are apparent in the potential recharge time series. Potential recharge generally increased across the glacial aquifer system between 2001 and 2011.</p><p>A comparison of the potential recharge from the glacial SWB model to previous broad-scale recharge estimates reveals several important considerations for future SWB modeling applications. Shifts in the overall distribution of potential recharge between separate models can be explained by methods used to generate base-flow calibration target datasets. Spatial patterns in potential recharge simulated by SWB models are strongly dependent on the data and assumptions used to assign model cells to hydrologic soil groups. A review of several SWB models used to estimate groundwater recharge (and not surface runoff) revealed that model results are most sensitive to input climatic data, followed by surface runoff (curve number) and root-zone depth parameters.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185080","collaboration":"Prepared as part of the Glacial Aquifer System Groundwater Availability Study, a cooperative effort between the U.S. Department of the Interior’s WaterSMART Initiative and the U.S. Geological Survey’s Water Availability and Use Science Program","usgsCitation":"Trost, J.J., Roth, J.L., Westenbroek, S.M., and Reeves, H.W., 2018, Simulation of potential groundwater recharge for the glacial aquifer system east of the Rocky Mountains, 1980–2011, using the Soil-Water-Balance model: U.S. Geological Survey Scientific Investigations Report 2018–5080, 51 p., https://doi.org/10.3133/sir20185080.","productDescription":"Report: vii, 51 p.; Tables; Data Release","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-088856","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":355759,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7XW4HRJ","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Soil-Water-Balance (SWB) model used to simulate potential groundwater recharge for the glacial aquifer system east of the Rocky Mountains, 1980–2011"},{"id":355764,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2018/5080/sir20185080_tables.xlsx","text":"Tables 5 and 8","size":"52.2 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2018–5080 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href=\"mailto: dc_mn@usgs.gov\" data-mce-href=\"mailto: dc_mn@usgs.gov\">Director</a>, <a href=\"https://mn.water.usgs.gov\" data-mce-href=\"https://mn.water.usgs.gov\">Upper Midwest Water Science Center</a><br>U.S. Geological Survey<br>2280 Woodale Drive<br>Mounds View, MN 55112</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Methods<br></li><li>Simulation of Potential Groundwater Recharge<br></li><li>Sensitivity Analysis<br></li><li>Summary<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Appendix. Model Archive<br></li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2018-07-18","noUsgsAuthors":false,"publicationDate":"2018-07-18","publicationStatus":"PW","scienceBaseUri":"5b6fc410e4b0f5d57878e9b7","contributors":{"authors":[{"text":"Trost, Jared J. 0000-0003-0431-2151 jtrost@usgs.gov","orcid":"https://orcid.org/0000-0003-0431-2151","contributorId":3749,"corporation":false,"usgs":true,"family":"Trost","given":"Jared","email":"jtrost@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roth, Jason L. 0000-0001-5440-2775","orcid":"https://orcid.org/0000-0001-5440-2775","contributorId":191768,"corporation":false,"usgs":false,"family":"Roth","given":"Jason L.","affiliations":[],"preferred":false,"id":738464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westenbroek, Stephen M. 0000-0002-6284-8643 smwesten@usgs.gov","orcid":"https://orcid.org/0000-0002-6284-8643","contributorId":2210,"corporation":false,"usgs":true,"family":"Westenbroek","given":"Stephen","email":"smwesten@usgs.gov","middleInitial":"M.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reeves, Howard W. 0000-0001-8057-2081 hwreeves@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-2081","contributorId":2307,"corporation":false,"usgs":true,"family":"Reeves","given":"Howard","email":"hwreeves@usgs.gov","middleInitial":"W.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738466,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198171,"text":"70198171 - 2018 - Landsat time series analysis of fractional plant cover changes on abandoned energy development sites","interactions":[],"lastModifiedDate":"2018-07-23T12:50:15","indexId":"70198171","displayToPublicDate":"2018-07-18T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2027,"text":"International Journal of Applied Earth Observation and Geoinformation","active":true,"publicationSubtype":{"id":10}},"title":"Landsat time series analysis of fractional plant cover changes on abandoned energy development sites","docAbstract":"Oil and natural gas development in the western United States has increased substantially in recent decades as technological advances like horizontal drilling and hydraulic fracturing have made extraction more commercially viable. Oil and gas pads are often developed for production, and then capped, reclaimed, and left to recover when no longer productive. Understanding the rates, controls, and degree of recovery of these reclaimed well sites to a state similar to pre-development conditions is critical for energy development and land management decision processes. Here we use a multi-decadal time series of satellite imagery (Landsat 5, 1984–2011) to assess vegetation regrowth on 365 abandoned well pads located across the Colorado Plateau in Utah, Colorado, and New Mexico. We developed high-frequency time series of the Soil-Adjusted Total Vegetation Index (SATVI) for each well pad using the Google Earth Engine cloud computing platform. BFAST time-series models were used to fit temporal trends, identifying when vegetation was cleared from the site and the magnitudes and rates of vegetation change after abandonment. The time series metrics are used to calculate the relative fractional vegetation cover (RFVC) of each pad, a measure of post-abandonment vegetation cover relative to pre-drilling condition. Mean and median RFVC were 36% (s.d. 33%) and 26%, respectively, five years after abandonment, with one third of well pads having RFVC greater than 50%. Statistical analyses suggest that much of the high vegetation cover is associated with weedy invasive annual species such as cheatgrass (Bromus tectorum) and Russian thistle (Salsola spp.). Climate conditions and the year of abandonment also play a role, with increased cover in later years associated with a wetter period. Non-linear change at many pads suggests longer recovery times than would be estimated by linear extrapolation. New techniques implemented here address a complex response of cover change to soils, management, and climate over time, and can be extended to the operational monitoring of energy development across large areas.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jag.2018.07.008","usgsCitation":"Waller, E.K., Villarreal, M.L., Poitras, T.B., Nauman, T.W., and Duniway, M.C., 2018, Landsat time series analysis of fractional plant cover changes on abandoned energy development sites: International Journal of Applied Earth Observation and Geoinformation, v. 73, p. 407-419, https://doi.org/10.1016/j.jag.2018.07.008.","productDescription":"13 p.","startPage":"407","endPage":"419","ipdsId":"IP-095879","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":488773,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jag.2018.07.008","text":"Publisher Index Page"},{"id":437824,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VTGGY0","text":"USGS data release","linkHelpText":"5-year Relative Fractional Vegetation Cover at Abandoned Energy Development Sites on the Colorado Plateau"},{"id":355815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc40ee4b0f5d57878e9a9","contributors":{"authors":[{"text":"Waller, Eric K. 0000-0002-9169-9210","orcid":"https://orcid.org/0000-0002-9169-9210","contributorId":203496,"corporation":false,"usgs":true,"family":"Waller","given":"Eric","email":"","middleInitial":"K.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"preferred":true,"id":740408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":740407,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poitras, Travis B. 0000-0001-8677-1743 tpoitras@usgs.gov","orcid":"https://orcid.org/0000-0001-8677-1743","contributorId":195168,"corporation":false,"usgs":true,"family":"Poitras","given":"Travis","email":"tpoitras@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":740409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nauman, Travis W. 0000-0001-8004-0608 tnauman@usgs.gov","orcid":"https://orcid.org/0000-0001-8004-0608","contributorId":169241,"corporation":false,"usgs":true,"family":"Nauman","given":"Travis","email":"tnauman@usgs.gov","middleInitial":"W.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":740410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":740411,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198162,"text":"70198162 - 2018 - Towards coordinated regional multi-satellite InSAR volcano observations: Results from the Latin America pilot project","interactions":[],"lastModifiedDate":"2020-09-02T12:58:41.104845","indexId":"70198162","displayToPublicDate":"2018-07-18T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3841,"text":"Journal of Applied Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Towards coordinated regional multi-satellite InSAR volcano observations: Results from the Latin America pilot project","docAbstract":"Within Latin America, about 319 volcanoes have been active in the Holocene, but 202 of these volcanoes have no seismic, deformation or gas monitoring. Following the 2012 Santorini Report on satellite Earth Observation and Geohazards, the Committee on Earth Observation Satellites (CEOS) developed a 4-year pilot project (2013-2017) to demonstrate how satellite observations can be used to monitor large numbers of volcanoes cost-effectively, particularly in areas with scarce instrumentation and/or difficult access. The pilot aims to improve disaster risk management (DRM) by working directly with the volcano observatories that are governmentally responsible for volcano monitoring as well as with the international space agencies (ESA, CSA, ASI, DLR, JAXA, NASA, CNES). The goal is to make sure that the most useful data are collected at each volcano following the guidelines of the Santorini report that observation frequency is related to volcano activity, and to communicate the results to the local institutions in a timely fashion. Here we highlight how coordinated multi-satellite observations have been used by volcano observatories to monitor volcanoes and respond to crises. Our primary tool is measurements of ground deformation made by Interferometric Synthetic Aperture Radar (InSAR), which have been used in conjunction with other observations to determine the alert level at these volcanoes, served as an independent check on ground sensors, guided the deployment of ground instruments, and aided situational awareness. During this time period, we find 26 volcanoes deforming, including 18 of the 28 volcanoes that erupted - those eruptions without deformation were less than 2 on the VEI scale. Another 7 volcanoes were restless and the volcano observatories requested satellite observations, but no deformation was detected. We describe the lessons learned about the data products and information that are most needed by the volcano observatories in the different countries using information collected by questionnaires. We propose a practical strategy for regional to global satellite volcano monitoring for use by volcano observatories in Latin America and elsewhere to realize the vision of the Santorini report.","language":"English","publisher":"Springer","doi":"10.1186/s13617-018-0074-0","usgsCitation":"Pritchard, M., Biggs, J., Wauthier, C., Sansosti, E., Arnold, D.W., Delgado, F., Ebmeier, S., Henderson, S., Stephens, K., Cooper, C., Wnuk, K., Amelung, F., Aguilar, V.R., Mothes, P., Macedo, O., Lara, L.E., Poland, M.P., and Zoffoli, S., 2018, Towards coordinated regional multi-satellite InSAR volcano observations: Results from the Latin America pilot project: Journal of Applied Volcanology, v. 7, 5, 28 p., https://doi.org/10.1186/s13617-018-0074-0.","productDescription":"5, 28 p.","ipdsId":"IP-089702","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and 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,{"id":70197695,"text":"fs20183036 - 2018 - Idaho water use, 2015","interactions":[],"lastModifiedDate":"2025-03-17T15:57:23.564958","indexId":"fs20183036","displayToPublicDate":"2018-07-18T00:00:00","publicationYear":"2018","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":"2018-3036","displayTitle":"Idaho Water Use, 2015","title":"Idaho water use, 2015","docAbstract":"<p>The ability to quantify water resources hinges on the understanding of water use by the population. The demand humans place on the water cycle varies across the United States, driven by both need and availability. The U.S. Geological Survey quantifies water use nationally, at the county scale, with estimates of water withdrawals and deliveries, by category of use (for example, irrigation, thermoelectric power, industrial, public supply, including domestic deliveries and self-supply domestic, livestock, mining, and aquaculture) and source (fresh and saline groundwater or surface water) every 5 years. Estimates of water use are an important component of the water budget to help manage water supplies and plan for the future. Understanding water use in Idaho is important not only at the local (county) and State scales, but also at the National level because Idaho ranked third in the Nation for total water use in 2015.</p><p>This fact sheet describes calendar year 2015 freshwater withdrawals by source and by each Idaho county. An associated data release provides the data discussed herein. Freshwater withdrawals totaled 17,737 million gallons per day during 2015. Surface water accounted for 70 percent of total withdrawals for all categories of use, mostly for irrigation of crops and aquaculture production. Withdrawals for mining activities were mostly from surface water, whereas the remaining categories of use—public supply, domestic, industrial, livestock, irrigation of golf courses, and thermoelectric power—relied largely on groundwater withdrawals. Most withdrawals occurred in southern Idaho counties to support irrigated agriculture.&nbsp;&nbsp;</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183036","usgsCitation":"Murray, E.M., 2018, Idaho water use, 2015: U.S. Geological Survey Fact Sheet 2018-3036, 4 p., https://doi.org/10.3133/fs20183036.","productDescription":"Report: 4 p.; Data release","onlineOnly":"Y","ipdsId":"IP-093323","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":355834,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92AXN0O","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Water use by source and category in Idaho counties, 2015"},{"id":355822,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3036/fs20183036.pdf","text":"Report","size":"1.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 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 \"}}]}","contact":"<p><a href=\"mailto:dc_id@usgs.gov\" data-mce-href=\"mailto:dc_id@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/id-water\" target=\"blank\" data-mce-href=\"https://www.usgs.gov/centers/id-water\">Idaho Water Science Center</a><br> U.S. Geological Survey<br> 230 Collins Road<br> Boise, Idaho 83702</p>","tableOfContents":"<ul><li>Top Three Water Use<br></li><li>Trends, 1985-2015<br></li><li>Future Needs<br></li><li>Acknowledgments<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2018-07-18","noUsgsAuthors":false,"publicationDate":"2018-07-18","publicationStatus":"PW","scienceBaseUri":"5b6fc410e4b0f5d57878e9b9","contributors":{"authors":[{"text":"Murray, Erin M. 0000-0002-5007-3449","orcid":"https://orcid.org/0000-0002-5007-3449","contributorId":206449,"corporation":false,"usgs":true,"family":"Murray","given":"Erin","email":"","middleInitial":"M.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":false,"id":738195,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70198126,"text":"70198126 - 2018 - The Future","interactions":[],"lastModifiedDate":"2020-08-19T20:20:29.321373","indexId":"70198126","displayToPublicDate":"2018-07-18T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"12","title":"The Future","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"GIS for surface water: Using the National Hydrography Dataset","largerWorkSubtype":{"id":13,"text":"Handbook"},"language":"English","publisher":"ESRI","isbn":"9781589484917","usgsCitation":"Blodgett, D.L., Rea, A.H., and Lieberman, J., 2018, The Future, chap. 12 <i>of</i> GIS for surface water: Using the National Hydrography Dataset, p. 427-448.","productDescription":"22 p.","startPage":"427","endPage":"448","ipdsId":"IP-087143","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination 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,{"id":70206268,"text":"70206268 - 2018 - Do economic values and expenditures for viewing waterfowl in the U.S. differ among species?","interactions":[],"lastModifiedDate":"2019-10-28T14:14:10","indexId":"70206268","displayToPublicDate":"2018-07-17T15:13:39","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Do economic values and expenditures for viewing waterfowl in the U.S. differ among species?","docAbstract":"<p><span>Many economic studies value birdwatching in general and often do not account for potential differences in viewers’ benefits from observing different species. But, how different are economic values of viewing various bird species? To answer that question, we surveyed Ducks Unlimited (DU) members using an online questionnaire to estimate trip expenditures and consumer surplus per trip for viewing pintail ducks, waterfowl in general, and other species of waterfowl. Expenditures per trip were USD <span>$</span>231, <span>$</span>199, and <span>$</span>182, respectively. Consumer surpluses per trip, estimated using the contingent valuation method, were <span>$</span>28, <span>$</span>32, and <span>$</span>29, respectively. Neither expenditures nor consumer surplus were statistically different among species for DU members who are adept at species differentiation. Our results suggest that it may be reasonable to use a general economic value for waterfowl viewing when formulating management alternatives for a variety of waterfowl.</span></p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/10871209.2018.1496371","usgsCitation":"Loomis, J., Haefele, M., Dubovsky, J., Lien, A.M., Thogmartin, W.E., Diffendorfer, J., Humburg, D.D., Mattsson, B., Bagstad, K.J., Semmens, D.J., Lopez-Hoffman, L., and Merideth, R., 2018, Do economic values and expenditures for viewing waterfowl in the U.S. differ among species?: Human Dimensions of Wildlife, v. 23, no. 6, p. 587-596, https://doi.org/10.1080/10871209.2018.1496371.","productDescription":"10 p.","startPage":"587","endPage":"596","numberOfPages":"10","ipdsId":"IP-090370","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences 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,{"id":70199096,"text":"70199096 - 2018 - Past role and future outlook of the Conservation Reserve Program for supporting honey bees in the Great Plains","interactions":[],"lastModifiedDate":"2022-04-22T16:46:58.708736","indexId":"70199096","displayToPublicDate":"2018-07-17T10:29:02","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Past role and future outlook of the Conservation Reserve Program for supporting honey bees in the Great Plains","docAbstract":"<p><span>Human dependence on insect pollinators continues to grow even as pollinators face global declines. The Northern Great Plains (NGP), a region often referred to as America’s last honey bee (</span><i>Apis mellifera</i><span>) refuge, has undergone rapid land-cover change due to cropland expansion and weakened land conservation programs. We conducted a trend analysis and estimated conversion rates of Conservation Reserve Program (CRP) enrollments around bee apiaries from 2006 to 2016 and developed models to identify areas of habitat loss. Our analysis revealed that NGP apiaries lost over 53% of lands enrolled in the CRP, and the rate of loss was highest in areas of high apiary density. We estimated over 163,000 ha of CRP lands in 2006 within 1.6 km of apiaries was converted to row crops by 2012. We also evaluated how alternative scenarios of future CRP acreage caps may affect habitat suitability for supporting honey bee colonies. Our scenario revealed that a further reduction in CRP lands to 7.7 million ha nationally would reduce the number of apiaries in the NGP that meet defined forage criteria by 28% on average. Alternatively, increasing the national cap to 15 million ha would increase the number of NGP apiaries that meet defined forage criteria by 155%. Our scenarios also show that strategic placement of CRP lands near existing apiaries increased the number of apiaries that meet forage criteria by 182%. Our research will be useful for informing the potential consequences of future US farm bill policy and land management in the epicenter of the US beekeeping industry.</span></p>","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.1800057115","usgsCitation":"Otto, C., Zheng, H., Gallant, A.L., Iovanna, R., Carlson, B.L., Smart, M., and Hyberg, S., 2018, Past role and future outlook of the Conservation Reserve Program for supporting honey bees in the Great Plains: Proceedings of the National Academy of Sciences, v. 115, no. 29, p. 7629-7634, https://doi.org/10.1073/pnas.1800057115.","productDescription":"6 p.","startPage":"7629","endPage":"7634","ipdsId":"IP-092994","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468581,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://digitalcommons.unl.edu/usgsstaffpub/1219","text":"Publisher Index Page"},{"id":357042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota, South 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,{"id":70211492,"text":"70211492 - 2018 - Final report for climate effects on the culture and ecology of sugar maple","interactions":[],"lastModifiedDate":"2020-07-30T14:33:00.634781","indexId":"70211492","displayToPublicDate":"2018-07-17T09:08:57","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Final report for climate effects on the culture and ecology of sugar maple","docAbstract":"<p><span>Maple syrup is produced from the sap of sugar maple trees collected in the late winter and early spring. Native American tribes have collected and boiled down sap for centuries, and the tapping of maple trees is a cultural touchstone for many people in the northeast and Midwest. Because the tapping season is dependent on weather conditions, there is concern about the sustainability of maple sugaring as climate changes throughout the region. At the same time the demand for this natural sweetener and the production of maple syrup are increasing rapidly. Our research addressed the impact of climate on the quality of maple sap used to make maple syrup. We examined yields coupled with the sugar and biochemical composition of sap collected throughout the geographic range of sugar maple in the northeastern USA and Canada, and related this to historical and projected variation in climate. This is the first study to document potential climate related changes in sap production and sap quality across the full geographic range of sugar maple. Declines, as well as increased variability, in sap flow near the southern range limit and increased sap flow at the northern range limit suggest long term range shifts toward the north, as well as geographic variation in expected syrup production over the next several decades. Survey results highlighted that producers do perceive changes in climate variables and concomitant shifts in sap production. Many producers are willing to shift sap harvesting practices in response to changing climate scenarios, but producers are split in their perceptions about the importance of individual variables and their level of concern about future impacts on the industry. Overall, our results can be applied to design more effective extension programming and adaptation plans to mitigate the risk of climate in maple systems.&nbsp;</span></p>","language":"English","publisher":"Northeast Climate Adaptation Science Center","usgsCitation":"Morelli, T.L., and Stinson, K.A., 2018, Final report for climate effects on the culture and ecology of sugar maple, 22 p.","productDescription":"22 p.","ipdsId":"IP-099520","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":376888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":376808,"type":{"id":15,"text":"Index Page"},"url":"https://necsc.umass.edu/biblio/final-report-climate-effects-culture-and-ecology-sugar-maple"}],"country":"Canada, United States","state":"Indiana, Kentucky, Massachusetts, New Hampshire, Quebec, Vermont, Virginia, West Virginia","geographicExtents":"{\n  \"type\": 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,{"id":70198124,"text":"70198124 - 2018 - Applying a Bayesian weighted surveillance approach to detect chronic wasting disease in white‐tailed deer","interactions":[],"lastModifiedDate":"2018-10-23T17:00:05","indexId":"70198124","displayToPublicDate":"2018-07-17T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Applying a Bayesian weighted surveillance approach to detect chronic wasting disease in white‐tailed deer","docAbstract":"<ol class=\"\"><li>Surveillance is critical for early detection of emerging and re‐emerging infectious diseases. Weighted surveillance leverages heterogeneity in infection risk to increase sampling efficiency.</li><li>Here, we apply a Bayesian approach to estimate weights for 16 surveillance classes of white‐tailed deer in Wisconsin, USA, relative to hunter‐harvested yearling males. We used these weights to conduct a surveillance programme for detecting chronic wasting disease (CWD) in white‐tailed deer at Shenandoah National Park (SHEN) in Virginia, USA.</li><li>Generally, for surveillance, risk of infection increased with age and was greater in males. Clinical suspect deer had the highest risk, with weight estimates of 33.33 and 9.09 for community‐reported and hunter‐reported suspect deer, respectively. Fawns had the lowest risk with an estimated weight of 0.001.</li><li>We used surveillance weights for Wisconsin deer to determine sampling effort required to detect a CWD‐positive case in SHEN if prevalence in yearling males ≥0.025. The sampling required to detect CWD was 37–91 adult deer, depending on the adult male:female ratio in the surveillance stream. We collected rectal biopsies from 49 female and 21 male adult deer, and 10 additional samples from vehicle‐killed deer. CWD was not detected and we concluded with 95% probability that prevalence in the reference population (yearling males) was between 0.0% and 3.6%.</li><li><i>Synthesis and applications</i>. Our approach allows managers to estimate relative surveillance weights for different host classes and quantify limits of disease detection in real time when only a sample of animals from a population can be tested, resulting in considerable cost savings for agencies performing wildlife disease detection surveillance. Additionally, it provides a rigorous means of estimating prevalence limits when a disease/pathogen is not detected in a sample set. It is therefore applicable to other wildlife, domestic animal and human disease systems, which can be characterized by surveillance classes with heterogeneous probability of infection. This methodology is also extendable to other disciplines such as invasive species, environmental toxicology, and generally, any ecological question seeking to efficiently use scarce financial and human resources to maximize the detection probability of a rare event.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.13178","usgsCitation":"Jennelle, C.S., Walsh, D.P., Samuel, M.D., Osnas, E.E., Rolley, R.E., Langenberg, J.A., Powers, J.G., Monello, R.J., Demarest, E.D., Gubler, R., and Heisey, D.M., 2018, Applying a Bayesian weighted surveillance approach to detect chronic wasting disease in white‐tailed deer: Journal of Applied Ecology, v. 55, no. 6, p. 2944-2953, https://doi.org/10.1111/1365-2664.13178.","productDescription":"10 p.","startPage":"2944","endPage":"2953","ipdsId":"IP-096715","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":468585,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13178","text":"Publisher Index Page"},{"id":355721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"6","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-18","publicationStatus":"PW","scienceBaseUri":"5b6fc411e4b0f5d57878e9c3","contributors":{"authors":[{"text":"Jennelle, Christopher S.","contributorId":206350,"corporation":false,"usgs":false,"family":"Jennelle","given":"Christopher","email":"","middleInitial":"S.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":740125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Daniel P. 0000-0002-7772-2445 dwalsh@usgs.gov","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":4758,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"dwalsh@usgs.gov","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":740124,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":740126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Osnas, Erik E. 0000-0001-9528-0866 eosnas@usgs.gov","orcid":"https://orcid.org/0000-0001-9528-0866","contributorId":5586,"corporation":false,"usgs":true,"family":"Osnas","given":"Erik","email":"eosnas@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":740127,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rolley, Robert E.","contributorId":171376,"corporation":false,"usgs":false,"family":"Rolley","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":24833,"text":"Wisconsin DNR, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":740128,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Langenberg, Julia A.","contributorId":145418,"corporation":false,"usgs":false,"family":"Langenberg","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":740129,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Powers, Jenny G.","contributorId":10710,"corporation":false,"usgs":true,"family":"Powers","given":"Jenny","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":740130,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Monello, Ryan J.","contributorId":184143,"corporation":false,"usgs":false,"family":"Monello","given":"Ryan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":740131,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Demarest, E. David","contributorId":206354,"corporation":false,"usgs":false,"family":"Demarest","given":"E.","email":"","middleInitial":"David","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":740132,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gubler, Rolf","contributorId":206355,"corporation":false,"usgs":false,"family":"Gubler","given":"Rolf","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":740133,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Heisey, Dennis M. dheisey@usgs.gov","contributorId":2455,"corporation":false,"usgs":true,"family":"Heisey","given":"Dennis","email":"dheisey@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":740134,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70198118,"text":"70198118 - 2018 - Soil water dynamics at 15 locations distributed across a desert landscape: insights from a 27‐yr dataset","interactions":[],"lastModifiedDate":"2018-07-17T10:04:44","indexId":"70198118","displayToPublicDate":"2018-07-17T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Soil water dynamics at 15 locations distributed across a desert landscape: insights from a 27‐yr dataset","docAbstract":"<p><span>Desert ecosystems are primarily limited by water availability. Within a climatic regime, topography, soil characteristics, and vegetation are expected to determine how the combined effects of precipitation, temperature, and evaporative demand of the atmosphere shape the spatial and temporal patterns of water within the soil profile and across a landscape. To forecast how desert landscapes may respond to future climatic conditions, it is imperative to improve our understanding of these ecohydrologic processes. Here, we report on 27&nbsp;yr of monthly soil volumetric water content (VWC) measurements and associated soils data from a site in the northern Chihuahuan Desert of North America. The dataset includes VWC and soil properties measured to 3&nbsp;m in depth across 15 locations that encompass a range of Chihuahuan Desert vegetation types. We use this unique dataset (1) to generate insights into general temporal and depth patterns in VWC, (2) to analyze how VWC corresponds to measures of climatic conditions, and (3) to qualitatively evaluate the relative importance of soils, topographic setting, and vegetation type in mediating temporal patterns in VWC. Analyses of this unique dataset emphasize the importance of soil and topographic setting in determining depth and temporal patterns in VWC across time. Results emphasize the episodic nature of deep wetting events in our study system—essentially limited to three large events over the 27‐yr record driven primarily by wetter than normal winters. Comparison of soil water dynamics between mesquite shrub coppice dunes and interspace soils suggests the “island of fertility” concept does not extend to soil water. Median VWC was strongly coupled to climatic conditions over surprisingly long windows at most locations (6–18&nbsp;months), suggesting that soil water at depth is decoupled from short climatic pulses. However, VWC dynamics and VWC–climate relationships varied among locations, depths, and seasons, with unexpected similarities in ecohydrologic dynamics observed among very different vegetation types (e.g., an eroded creosote shrubland and a playa grassland). These results further underscore the importance of ecohydrological investigations in these ecosystems, given forecasts for a warmer and more variable climate in deserts globally.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2335","usgsCitation":"Duniway, M.C., Petrie, M., Peters, D., Anderson, J.P., Crossland, K., and Herrick, J.E., 2018, Soil water dynamics at 15 locations distributed across a desert landscape: insights from a 27‐yr dataset: Ecosphere, v. 9, no. 7, p. 1-36, https://doi.org/10.1002/ecs2.2335.","productDescription":"e02335; 36 p.","startPage":"1","endPage":"36","ipdsId":"IP-091071","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468583,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2335","text":"Publisher Index Page"},{"id":355722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-10","publicationStatus":"PW","scienceBaseUri":"5b6fc411e4b0f5d57878e9c5","contributors":{"authors":[{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":740092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petrie, Matthew D.","contributorId":206328,"corporation":false,"usgs":false,"family":"Petrie","given":"Matthew D.","affiliations":[{"id":37312,"text":"Department of Plant & Environmental Sciences, New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":740097,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peters, Debra P. C.","contributorId":36903,"corporation":false,"usgs":false,"family":"Peters","given":"Debra P. C.","affiliations":[{"id":25579,"text":"USDA-ARS Jornada Experimental Range, Las Cruces, NM 88003","active":true,"usgs":false}],"preferred":false,"id":740096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, John P.","contributorId":206326,"corporation":false,"usgs":false,"family":"Anderson","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":37311,"text":"Jornada Experimental Range Department, New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":740094,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crossland, Keith","contributorId":206327,"corporation":false,"usgs":false,"family":"Crossland","given":"Keith","email":"","affiliations":[{"id":17659,"text":"Natural Resources Conservation Service","active":true,"usgs":false}],"preferred":false,"id":740095,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Herrick, Jeffrey E.","contributorId":26054,"corporation":false,"usgs":false,"family":"Herrick","given":"Jeffrey","email":"","middleInitial":"E.","affiliations":[{"id":12627,"text":"USDA-ARS Jornada Experimental Range, New Mexico State University, Las Cruces, NM 88003-8003, USA","active":true,"usgs":false}],"preferred":false,"id":740093,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70198151,"text":"70198151 - 2018 - Assessing the effectiveness of riparian restoration projects using Landsat and precipitation data from the cloud-computing application ClimateEngine.org","interactions":[],"lastModifiedDate":"2018-07-18T09:48:42","indexId":"70198151","displayToPublicDate":"2018-07-17T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the effectiveness of riparian restoration projects using Landsat and precipitation data from the cloud-computing application ClimateEngine.org","docAbstract":"Riparian vegetation along streams provides a suite of ecosystem services in rangelands and thus is the target of restoration when degraded by over-grazing, erosion, incision, or other disturbances. Assessments of restoration effectiveness depend on defensible monitoring data, which can be both expensive and difficult to collect. We present a method and case study to evaluate the effectiveness of restoration of riparian vegetation using a web-based cloud-computing and visualization tool (ClimateEngine.org) to access and process remote sensing and climate data. Restoration efforts on an Eastern Oregon ranch were assessed by analyzing the riparian areas of four creeks that had in-stream restoration structures constructed between 2008 and 2011. Within each study area, we retrieved spatially and temporally aggregated values of summer (June, July, August) normalized difference vegetation index (NDVI) and total precipitation for each water year (October-September) from 1984 to 2017. We established a pre-restoration (1984–2007) linear regression between total water year precipitation and summer NDVI for each study area, and then compared the post-restoration (2012–2017) data to this pre-restoration relationship. In each study area, the post-restoration NDVI-precipitation relationship was statistically distinct from the pre-restoration relationship, suggesting a change in the fundamental relationship between precipitation and NDVI resulting from stream restoration. We infer that the in-stream structures, which raised the water table in the adjacent riparian areas, provided additional water to the streamside vegetation that was not available before restoration and reduced the dependence of riparian vegetation on precipitation. This approach provides a cost-effective, quantitative method for assessing the effects of stream restoration projects on riparian vegetation.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2018.06.024","usgsCitation":"Hausner, M.B., Huntington, J., Nash, C., Morton, C., McEvoy, D.J., Pilliod, D.S., Hegewisch, K.C., Daudert, B., Abatzoglou, J.T., and Grant, G., 2018, Assessing the effectiveness of riparian restoration projects using Landsat and precipitation data from the cloud-computing application ClimateEngine.org: Ecological Engineering, v. 120, p. 432-440, https://doi.org/10.1016/j.ecoleng.2018.06.024.","productDescription":"9 p.","startPage":"432","endPage":"440","ipdsId":"IP-087503","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":468582,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2018.06.024","text":"Publisher Index Page"},{"id":355750,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Silvies Valley Ranch","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.2783203125,\n              43.54854811091286\n            ],\n            [\n              -117.59765625,\n              43.54854811091286\n            ],\n            [\n              -117.59765625,\n              45.767522962149876\n            ],\n            [\n              -120.2783203125,\n              45.767522962149876\n            ],\n            [\n              -120.2783203125,\n              43.54854811091286\n            ]\n          ]\n        ]\n      }\n    }\n  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,{"id":70198147,"text":"70198147 - 2018 - Landscape-scale wildlife species richness metrics to inform wind and solar energy facility siting: An Arizona case study","interactions":[],"lastModifiedDate":"2018-07-17T15:43:38","indexId":"70198147","displayToPublicDate":"2018-07-17T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1510,"text":"Energy Policy","active":true,"publicationSubtype":{"id":10}},"title":"Landscape-scale wildlife species richness metrics to inform wind and solar energy facility siting: An Arizona case study","docAbstract":"The juxtaposition of wildlife and wind or solar energy facility infrastructure can present problems for developers, planners, policy makers, and management agencies. Guidance on siting of these renewable energy facilities may help identify potential wildlife-facility conflicts with species of regulatory or economic concern. However, existing spatial guidance usually does not consider all wildlife that might use a potential facility location or corridors for its servicing infrastructure. We illustrate an approach toward assessing potential wildlife-facility conflicts using readily available vertebrate habitat models. The U.S. Geological Survey's Gap Analysis Program (GAP) has developed spatial models of potential habitat for vertebrate species across the entire nation. To illustrate their applicability, we used GAP models to estimate richness of all native, terrestrial vertebrates within Arizona and for those vertebrates grouped by class or by sensitivity to the type of facility infrastructure. We examined the spatial overlap of high species richness of each group with agency-developed guidance used to inform facility-siting decisions and found that GAP-based richness mappings augmented existing guidance. As the GAP vertebrate habitat models are publicly available for the entire USA, use of these data can provide a coarse view of potential wildlife-facility conflicts and inform facility planning early in the process.","language":"English","publisher":"Elsevier","doi":"10.1016/j.enpol.2018.01.052","usgsCitation":"Thomas, K.A., Jarchow, C., Arundel, T.R., Jamwal, P., Borens, A., and Drost, C.A., 2018, Landscape-scale wildlife species richness metrics to inform wind and solar energy facility siting: An Arizona case study: Energy Policy, v. 116, p. 145-152, https://doi.org/10.1016/j.enpol.2018.01.052.","productDescription":"8 p.","startPage":"145","endPage":"152","ipdsId":"IP-087101","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468584,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.enpol.2018.01.052","text":"Publisher Index Page"},{"id":437826,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70C4V08","text":"USGS data release","linkHelpText":"Landscape-scale wildlife species richness metrics"},{"id":355747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70198145,"text":"70198145 - 2018 - Statistical approach to neural network imaging of karst systems in 3D seismic reflection data","interactions":[],"lastModifiedDate":"2018-07-18T09:53:59","indexId":"70198145","displayToPublicDate":"2018-07-17T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3906,"text":"Interpretation","active":true,"publicationSubtype":{"id":10}},"title":"Statistical approach to neural network imaging of karst systems in 3D seismic reflection data","docAbstract":"The current lack of a robust, standardized technique for geophysical mapping of karst systems can be attributed to both the complexity of the environment and prior technological limitations. Abrupt lateral variations in physical properties that are inherent to karst systems generate significant geophysical noise, challenging conventional seismic signal processing and interpretation. Modern application of neural networks to multi-attribute seismic interpretation now provide a semiautomated method for identifying and leveraging the nonlinear relationships exhibited among seismic attributes. The ambiguity generally associated with designing neural networks for seismic object detection can be reduced via statistical analysis of the extracted attribute data. A data-driven approach to selecting the appropriate set of input seismic attributes, as well as the locations and minimum number of training examples, provides a more objective and computationally efficient method for identifying karst systems using reflection seismology. This statistically optimized neural network technique is thoroughly demonstrated using three-dimensional seismic reflection data collected from the southeastern portion of the Florida carbonate platform. Several dimensionality reduction methods are applied and the resulting karst probability models are evaluated relative to one another based on both quantitative and qualitative criteria. Comparing the preferred model, using quadratic discriminant analysis, to previously available seismic object detection workflows demonstrates the karst-specific nature of the tool. Results suggest that the karst multi-attribute workflow presented is capable of approximating the structural boundaries of karst systems with more accuracy and efficiency than a human counterpart or previously presented seismic interpretation schemes. This objective technique, using solely three-dimensional seismic reflection data, likely represents the most practical approach to mapping karst systems for subsequent hydrogeological modeling.","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/int-2017-0197.1","usgsCitation":"Ebuna, D., Kluesner, J., Cunningham, K.J., and Edwards, J.H., 2018, Statistical approach to neural network imaging of karst systems in 3D seismic reflection data: Interpretation, v. 6, no. 3, p. B15-B35, https://doi.org/10.1190/int-2017-0197.1.","productDescription":"21 p.","startPage":"B15","endPage":"B35","ipdsId":"IP-090061","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":355752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc411e4b0f5d57878e9c1","contributors":{"authors":[{"text":"Ebuna, Daniel","contributorId":201729,"corporation":false,"usgs":true,"family":"Ebuna","given":"Daniel","email":"","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":740229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kluesner, Jared W. 0000-0003-1701-8832","orcid":"https://orcid.org/0000-0003-1701-8832","contributorId":206367,"corporation":false,"usgs":true,"family":"Kluesner","given":"Jared W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":740228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cunningham, Kevin J. 0000-0002-2179-8686 kcunning@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-8686","contributorId":1689,"corporation":false,"usgs":true,"family":"Cunningham","given":"Kevin","email":"kcunning@usgs.gov","middleInitial":"J.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":740230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, Joel H.","contributorId":202599,"corporation":false,"usgs":false,"family":"Edwards","given":"Joel","email":"","middleInitial":"H.","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":740231,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198146,"text":"70198146 - 2018 - Turing-style tests for UCERF3 synthetic catalogs","interactions":[],"lastModifiedDate":"2018-07-17T16:07:30","indexId":"70198146","displayToPublicDate":"2018-07-17T00:00:00","publicationYear":"2018","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":"Turing-style tests for UCERF3 synthetic catalogs","docAbstract":"Epidemic-Type Aftershock Sequence (ETAS) catalogs generated from the 3rd Uniform California Earthquake Rupture Forecast (UCERF3) model are unique in that they are the first to combine a complex, fault-based long-term forecast with short-term earthquake clustering statistics. We present Turing-style tests to examine whether these synthetic catalogs can successfully imitate observed earthquake behavior in California. We find that UCERF3-ETAS is more spatially diffuse than the observed historic catalog in California and that it is lacking quiet periods that are present in the real catalog. While mean aftershock productivity of the observed catalog is matched closely by UCERF3-ETAS, the real catalog has more inter-sequence productivity variability and small mainshocks have more foreshocks. In sum, we find that UCERF3-ETAS differs from the observed catalog in ways that are foreseeable from its modeling simplifications. The tests we present here can be used on any model which produces suites of synthetic catalogs; as such, in addition to providing avenues for future improvements to the model, they could also be incorporated into testing platforms such as Collaboratory for the Study of Earthquake Predictability (CSEP).","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120170223","usgsCitation":"Page, M.T., and van der Elst, N., 2018, Turing-style tests for UCERF3 synthetic catalogs: Bulletin of the Seismological Society of America, v. 108, no. 2, p. 729-741, https://doi.org/10.1785/0120170223.","productDescription":"13 p.","startPage":"729","endPage":"741","ipdsId":"IP-088449","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":355751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"108","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-13","publicationStatus":"PW","scienceBaseUri":"5b6fc410e4b0f5d57878e9bf","contributors":{"authors":[{"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":740249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van der Elst, Nicholas 0000-0002-3812-1153 nvanderelst@usgs.gov","orcid":"https://orcid.org/0000-0002-3812-1153","contributorId":147858,"corporation":false,"usgs":true,"family":"van der Elst","given":"Nicholas","email":"nvanderelst@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":740250,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70199381,"text":"70199381 - 2018 - Stronger peak ground motion, beyond the threshold to initiate a response, does not lead to larger stream discharge responses to earthquakes","interactions":[],"lastModifiedDate":"2018-09-17T13:58:37","indexId":"70199381","displayToPublicDate":"2018-07-16T13:58:28","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Stronger peak ground motion, beyond the threshold to initiate a response, does not lead to larger stream discharge responses to earthquakes","docAbstract":"<p><span>The impressive number of stream gauges in Chile, combined with a suite of past and recent large earthquakes, makes Chile a unique natural laboratory to study several streams that recorded responses to multiple seismic events. We document changes in discharge in eight streams in Chile following two or more large earthquakes. In all cases, discharge increases. Changes in discharge occur for peak ground velocities greater than about 7–11&nbsp;cm/s. Above that threshold, the magnitude of both the increase in discharge and the total excess water do not increase with increasing peak ground velocities. While these observations are consistent with previous work in California, they conflict with lab experiments that show that the magnitude of permeability changes increases with increasing amplitude of ground motion. Instead, our study suggests that streamflow responses are binary.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2018GL078621","usgsCitation":"Mohr, C.H., Manga, M., and Wald, D.J., 2018, Stronger peak ground motion, beyond the threshold to initiate a response, does not lead to larger stream discharge responses to earthquakes: Geophysical Research Letters, v. 45, no. 13, p. 6523-6531, https://doi.org/10.1029/2018GL078621.","productDescription":"9 p.","startPage":"6523","endPage":"6531","ipdsId":"IP-098848","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":468586,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018gl078621","text":"Publisher Index Page"},{"id":357402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","volume":"45","issue":"13","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-12","publicationStatus":"PW","scienceBaseUri":"5bc02fcbe4b0fc368eb53984","contributors":{"authors":[{"text":"Mohr, Christian H.","contributorId":198746,"corporation":false,"usgs":false,"family":"Mohr","given":"Christian","email":"","middleInitial":"H.","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":745121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manga, Michael","contributorId":131168,"corporation":false,"usgs":false,"family":"Manga","given":"Michael","affiliations":[{"id":7102,"text":"University of California, Berkeley, Dept. of Civil & Envir. Engineering","active":true,"usgs":false}],"preferred":false,"id":745122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":745123,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198109,"text":"70198109 - 2018 - The science, engineering applications, and policy implications of simulation-based PSHA","interactions":[],"lastModifiedDate":"2018-12-11T13:18:25","indexId":"70198109","displayToPublicDate":"2018-07-16T12:36:41","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The science, engineering applications, and policy implications of simulation-based PSHA","docAbstract":"<p>We summarize scientific methods for developing probabilistic seismic hazard assessments from 3-D earthquake ground motion simulations, describe current use of simulated ground motions for engineering applications, and discuss on-going efforts to incorporate these effects in the U.S. national seismic hazard model. The 3-D simulations provide important, additional information about earthquake ground-shaking, which is critical to proper characterization of potential ground motions. Example uses of these simulations for engineering applications provide alternative approaches to introducing the effects of deep basins on long-period ground motions into design requirements. In Seattle, Washington tall building design includes requirements for accounting for the effect of the Seattle basin, and one method for including this effect relies upon local 3-D simulations. In Los Angeles, California a working group of scientists and engineers is advancing the use of local 3-D simulations for local building codes. In light of the benefit to ground motion characterization from the use of 3-D simulations, similar efforts are underway for national-scale seismic hazard analyses, which seek to make use of the extensive work applied from local efforts; current methods for incorporating these effects on a national-scale are presented.</p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Eleventh United States national conference on earthquake engineering","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"Eleventh U.S. national conference on earthquake engineering","conferenceDate":"June 25-29, 2016","conferenceLocation":"Los Angeles, CA","language":"English","publisher":"Earthquake Engineering Research Institute","usgsCitation":"Moschetti, M.P., Chang, S.P., Crouse, C., Frankel, A.D., Graves, R., Puangnak, H., Luco, N., Goulet, C.A., Rezaeian, S., Shumway, A., Powers, P.M., Petersen, M.D., Callaghan, S., Jordan, T., and Milner, K.R., 2018, The science, engineering applications, and policy implications of simulation-based PSHA, <i>in</i> Eleventh United States national conference on earthquake engineering, Los Angeles, CA, June 25-29, 2016, 10 p.","productDescription":"10 p.","ipdsId":"IP-097292","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":360164,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360160,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://11ncee.org/component/eventprogram/?view=events&category=special-sessions"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a970e4b034bf6a7e51d0","contributors":{"authors":[{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":753811,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chang, Sandra P.","contributorId":196915,"corporation":false,"usgs":false,"family":"Chang","given":"Sandra","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":740047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crouse, C.B","contributorId":187486,"corporation":false,"usgs":false,"family":"Crouse","given":"C.B","affiliations":[],"preferred":false,"id":740048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":146285,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":740049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":740050,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Puangnak, H","contributorId":206310,"corporation":false,"usgs":false,"family":"Puangnak","given":"H","email":"","affiliations":[{"id":37306,"text":"GeoEngineers, 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pmpowers@usgs.gov","orcid":"https://orcid.org/0000-0003-2124-6184","contributorId":176814,"corporation":false,"usgs":true,"family":"Powers","given":"Peter","email":"pmpowers@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":740055,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":740056,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Callaghan, Scott","contributorId":195136,"corporation":false,"usgs":false,"family":"Callaghan","given":"Scott","email":"","affiliations":[],"preferred":false,"id":740057,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Jordan, T.H.","contributorId":206311,"corporation":false,"usgs":false,"family":"Jordan","given":"T.H.","email":"","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":740058,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Milner, Kevin R.","contributorId":194141,"corporation":false,"usgs":false,"family":"Milner","given":"Kevin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":740059,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70210222,"text":"70210222 - 2018 - Effects of land use on summer thermal regimes in critical salmonid habitats of the Pacific Northwest","interactions":[],"lastModifiedDate":"2020-05-21T14:16:29.700544","indexId":"70210222","displayToPublicDate":"2018-07-16T09:06:03","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Effects of land use on summer thermal regimes in critical salmonid habitats of the Pacific Northwest","docAbstract":"The effect of climate change on stream temperature regimes is of significant concern to natural resource managers focused on protecting cold-water-dependent species. Nevertheless, understanding of how human land-use activities may act to exacerbate the effects of climate change on stream temperature regimes is limited. Using extensive stream temperature data with high-resolution climate and habitat data, we quantified how land management activities are related to summer stream temperatures across the Pacific Northwest, USA. We then described the distribution of land management practices influencing summer thermal regimes relative to the distribution of salmonid fish species of conservation concern. After accounting for climatic and geophysical variation, we detected a strong relationship between livestock grazing and summer thermal regimes. Maximum, average, and diel variation in water temperature was greater where livestock grazing was present. Livestock grazing was widespread, occurring in 43%–100% of sites supporting salmonid species of conservation concern. Thus, current land management practices may be intensifying the effects of ongoing climate change in freshwater habitats, acting to further threaten cold-water fishes of conservation concern.","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2018-0165","usgsCitation":"Kovach, R., Muhlfeld, C.C., Al-Chokhachy, R., Ojala, J.V., and Archer, E., 2018, Effects of land use on summer thermal regimes in critical salmonid habitats of the Pacific Northwest: Canadian Journal of Fisheries and Aquatic Sciences, v. 76, no. 5, p. 753-761, https://doi.org/10.1139/cjfas-2018-0165.","productDescription":"9 p.","startPage":"753","endPage":"761","ipdsId":"IP-093115","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":374983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington, Oregon, Idaho, Montana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.92578125,\n              41.77131167976407\n            ],\n            [\n              -111.26953125,\n              41.77131167976407\n            ],\n            [\n              -111.26953125,\n              49.095452162534826\n            ],\n            [\n              -123.92578125,\n              49.095452162534826\n            ],\n            [\n              -123.92578125,\n              41.77131167976407\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"76","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kovach, Ryan 0000-0001-5402-2123 rkovach@usgs.gov","orcid":"https://orcid.org/0000-0001-5402-2123","contributorId":145914,"corporation":false,"usgs":true,"family":"Kovach","given":"Ryan","email":"rkovach@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":789618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":789619,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Al-Chokhachy, Robert 0000-0002-2136-5098","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":216140,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":789620,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ojala, Jeffrey V.","contributorId":224816,"corporation":false,"usgs":false,"family":"Ojala","given":"Jeffrey","email":"","middleInitial":"V.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":789621,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Archer, Eric","contributorId":167603,"corporation":false,"usgs":false,"family":"Archer","given":"Eric","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":789622,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198082,"text":"70198082 - 2018 - Post-spring migration colony-site prospecting by Roseate Terns (Sterna dougallii)","interactions":[],"lastModifiedDate":"2018-07-16T10:44:23","indexId":"70198082","displayToPublicDate":"2018-07-16T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2881,"text":"North American Bird Bander","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Post-spring migration colony-site prospecting by Roseate Terns (<i>Sterna dougallii</i>)","title":"Post-spring migration colony-site prospecting by Roseate Terns (Sterna dougallii)","docAbstract":"We recorded banded Roseate Terns (Sterna dougallii) and unbanded individuals mated to banded individuals in May and the first third of June in 2001 and 2002 to quantify post spring migration prospecting by this species at Falkner Island, Connecticut, USA. In 2001, more than one quarter: 34/125 (27.2%) of those observed by 19 May and 38/150 (25.3%) of those observed by 25 May did not remain at this colony site and went elsewhere to attempt breeding. In 2002, fewer terns were observed by 19 May, but an even higher percentage: 11/28 (39.3%) of those seen by 19 May and 58/151 (38.4%) of those seen by 25 May did not stay and nest. Our results demonstrate that a substantial proportion of the earliest arriving individuals at this site are prospecting and gathering information about local conditions before making a decision about going elsewhere to nest.","language":"English","usgsCitation":"Spendelow, J.A., and Eichenwald, A.J., 2018, Post-spring migration colony-site prospecting by Roseate Terns (Sterna dougallii): North American Bird Bander, v. 43, no. 1, p. 1-6.","productDescription":"6 p.","startPage":"1","endPage":"6","ipdsId":"IP-074482","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":355681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc414e4b0f5d57878e9cd","contributors":{"authors":[{"text":"Spendelow, Jeffrey A. 0000-0001-8167-0898 jspendelow@usgs.gov","orcid":"https://orcid.org/0000-0001-8167-0898","contributorId":4355,"corporation":false,"usgs":true,"family":"Spendelow","given":"Jeffrey","email":"jspendelow@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":739933,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eichenwald, Adam J.","contributorId":205977,"corporation":false,"usgs":false,"family":"Eichenwald","given":"Adam","email":"","middleInitial":"J.","affiliations":[{"id":37202,"text":"School of Forestry and Environmental Studies, Yale University, New Haven, CT, USA","active":true,"usgs":false}],"preferred":false,"id":739934,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70198102,"text":"70198102 - 2018 - Dynamic minimum set problem for reserve design: Heuristic solutions for large problems","interactions":[],"lastModifiedDate":"2018-07-16T11:30:58","indexId":"70198102","displayToPublicDate":"2018-07-16T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic minimum set problem for reserve design: Heuristic solutions for large problems","docAbstract":"Conversion of wild habitats to human dominated landscape is a major cause of biodiversity\nloss. An approach to mitigate the impact of habitat loss consists of designating reserves\nwhere habitat is preserved and managed. Determining the most valuable areas to preserve\nin a landscape is called the reserve design problem. There exists several possible formulations\nof the reserve design problem, depending on the objectives and the constraints. In this\narticle, we considered the dynamic problem of designing a reserve that contains a desired\narea of several key habitats. The dynamic case implies that the reserve cannot be designed\nin one time step, due to budget constraints, and that habitats can be lost before they are\nreserved, due for example to climate change or human development. We proposed two heuristics strategies that can be used to select sites to reserve each year for large reserve\ndesign problem. The first heuristic is a combination of the Marxan and site-ordering algorithms\nand the second heuristic is an augmented version of the common naive myopic heuristic.\nWe evaluated the strategies on several simulated examples and showed that the\naugmented greedy heuristic is particularly interesting when some of the habitats to protect\nare particularly threatened and/or the compactness of the network is accounted for.","language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0193093","usgsCitation":"Bonneau, M., Sabbadin, R., Johnson, F.A., and Stith, B., 2018, Dynamic minimum set problem for reserve design: Heuristic solutions for large problems: PLoS ONE, v. 13, no. 3, e0193093; 23 p., https://doi.org/10.1371/journal.pone.0193093.","productDescription":"e0193093; 23 p.","ipdsId":"IP-084058","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468588,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0193093","text":"Publisher Index Page"},{"id":355689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-15","publicationStatus":"PW","scienceBaseUri":"5b6fc414e4b0f5d57878e9cb","contributors":{"authors":[{"text":"Bonneau, Mathieu","contributorId":150041,"corporation":false,"usgs":false,"family":"Bonneau","given":"Mathieu","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":740029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sabbadin, Regis","contributorId":206306,"corporation":false,"usgs":false,"family":"Sabbadin","given":"Regis","email":"","affiliations":[{"id":37303,"text":"INRA, France","active":true,"usgs":false}],"preferred":false,"id":740030,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":740028,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stith, Bradley","contributorId":175419,"corporation":false,"usgs":false,"family":"Stith","given":"Bradley","affiliations":[{"id":12876,"text":"Cherokee Nation Technology Solutions","active":true,"usgs":false}],"preferred":false,"id":740031,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}