{"pageNumber":"1060","pageRowStart":"26475","pageSize":"25","recordCount":184918,"records":[{"id":70177079,"text":"70177079 - 2016 - Does paleoseismology forecast the historic rates of large earthquakes on the San Andreas fault system?","interactions":[],"lastModifiedDate":"2017-04-13T10:02:17","indexId":"70177079","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Does paleoseismology forecast the historic rates of large earthquakes on the San Andreas fault system?","docAbstract":"The 98-year open interval since the most recent ground-rupturing earthquake in the greater San Andreas boundary fault system would not be predicted by the quasi-periodic recurrence statistics from paleoseismic data.  We examine whether the current hiatus could be explained by uncertainties in earthquake dating. Using seven independent paleoseismic records, 100 year intervals may have occurred circa 1150, 1400, and 1700 AD, but they occur in a third or less of sample records drawn at random.  A second method sampling from dates conditioned on the existence of a gap of varying length suggests century-long gaps occur 3-10% of the time.  A combined record with more sites would lead to lower probabilities.  Systematic data over-interpretation is considered an unlikely explanation.  Instead some form of non-stationary behaviour seems required, perhaps through long-range fault interaction.  Earthquake occurrence since 1000 AD is not inconsistent with long-term cyclicity suggested from long runs of earthquake simulators.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 7th PATA Days, 2016","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"7th International INQUA Meeting on Paleoseismology, Active Tectonics, and Archeoseismology","conferenceDate":"May 30- June 3, 2016","conferenceLocation":"Crestone, CO","language":"English","publisher":"Crestone Science Center","usgsCitation":"Biasi, G., Scharer, K.M., Weldon, R.J., and Dawson, T.E., 2016, Does paleoseismology forecast the historic rates of large earthquakes on the San Andreas fault system?, <i>in</i> Proceedings of the 7th PATA Days, 2016, Crestone, CO, May 30- June 3, 2016, p. 38-41.","productDescription":"4 p.","startPage":"38","endPage":"41","ipdsId":"IP-074573","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":339663,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":329684,"type":{"id":15,"text":"Index Page"},"url":"https://www.earthquakegeology.com/index.php?page=publications&s=6"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f08e60e4b06911a29fa84c","contributors":{"authors":[{"text":"Biasi, Glenn","contributorId":175464,"corporation":false,"usgs":false,"family":"Biasi","given":"Glenn","affiliations":[],"preferred":false,"id":651233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scharer, Katherine M. 0000-0003-2811-2496 kscharer@usgs.gov","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":3385,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine","email":"kscharer@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":651232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weldon, Ray J.","contributorId":175463,"corporation":false,"usgs":false,"family":"Weldon","given":"Ray","email":"","middleInitial":"J.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":651234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dawson, Timothy E.","contributorId":24429,"corporation":false,"usgs":false,"family":"Dawson","given":"Timothy","email":"","middleInitial":"E.","affiliations":[{"id":7099,"text":"Calif. Geol. Survey","active":true,"usgs":false}],"preferred":false,"id":651235,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70177080,"text":"70177080 - 2016 - Late Quaternary offset of alluvial fan surfaces along the Central Sierra Madre Fault, southern California","interactions":[],"lastModifiedDate":"2017-04-13T09:55:23","indexId":"70177080","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Late Quaternary offset of alluvial fan surfaces along the Central Sierra Madre Fault, southern California","docAbstract":"The Sierra Madre Fault is a reverse fault system along the southern flank of the San Gabriel Mountains near Los Angeles, California. This study focuses on the Central Sierra Madre Fault (CSMF) in an effort to provide numeric dating on surfaces with ages previously estimated from soil development alone. We have refined previous geomorphic mapping conducted in the western portion of the CSMF near Pasadena, CA, with the aid of new lidar data.  This progress report focuses on our geochronology strategy employed in collecting samples and interpreting data to determine a robust suite of terrace surface ages. Sample sites for terrestrial cosmogenic nuclide and luminescence dating techniques were selected to be redundant and to be validated through relative geomorphic relationships between inset terrace levels. Additional sample sites were selected to evaluate the post-abandonment histories of terrace surfaces.  We will combine lidar-derived displacement data with surface ages to estimate slip rates for the CSMF.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 7th PATA Days, 2016","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"7th International INQUA Meeting on Paleoseismology, Active Tectonics and Archeoseismology (PATA)","conferenceDate":"May 30- June 2, 2016","conferenceLocation":"Crestone, CO","language":"English","publisher":"Crestone Science Center","usgsCitation":"Burgette, R.J., Hanson, A., Scharer, K.M., and Midttun, N., 2016, Late Quaternary offset of alluvial fan surfaces along the Central Sierra Madre Fault, southern California, <i>in</i> Proceedings of the 7th PATA Days, 2016, Crestone, CO, May 30- June 2, 2016, p. 50-53.","productDescription":"4 p.","startPage":"50","endPage":"53","ipdsId":"IP-074574","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":339662,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f08e60e4b06911a29fa84a","contributors":{"authors":[{"text":"Burgette, Reed J.","contributorId":34221,"corporation":false,"usgs":true,"family":"Burgette","given":"Reed","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":651237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Austin","contributorId":175466,"corporation":false,"usgs":false,"family":"Hanson","given":"Austin","email":"","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":651238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scharer, Katherine M. 0000-0003-2811-2496 kscharer@usgs.gov","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":3385,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine","email":"kscharer@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":651236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Midttun, Nikolas","contributorId":175467,"corporation":false,"usgs":false,"family":"Midttun","given":"Nikolas","email":"","affiliations":[{"id":27576,"text":"USGS Intern","active":true,"usgs":false}],"preferred":false,"id":651239,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179203,"text":"70179203 - 2016 - Habitat selection by Forster's Terns (Sterna forsteri) at multiple spatial scales in an urbanized estuary: The importance of salt ponds","interactions":[],"lastModifiedDate":"2017-10-30T09:41:02","indexId":"70179203","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Habitat selection by Forster's Terns (<i>Sterna forsteri</i>) at multiple spatial scales in an urbanized estuary: The importance of salt ponds","title":"Habitat selection by Forster's Terns (Sterna forsteri) at multiple spatial scales in an urbanized estuary: The importance of salt ponds","docAbstract":"<p><span>The highly urbanized San Francisco Bay Estuary, California, USA, is currently undergoing large-scale habitat restoration, and several thousand hectares of former salt evaporation ponds are being converted to tidal marsh. To identify potential effects of this habitat restoration on breeding waterbirds, habitat selection of radiotagged Forster's Terns (</span><i>Sterna forsteri</i><span>) was examined at multiple spatial scales during the pre-breeding and breeding seasons of 2005 and 2006. At each spatial scale, habitat selection ratios were calculated by season, year, and sex. Forster's Terns selected salt pond habitats at most spatial scales and demonstrated the importance of salt ponds for foraging and roosting. Salinity influenced the types of salt pond habitats that were selected. Specifically, Forster's Terns strongly selected lower salinity salt ponds (0.5–30 g/L) and generally avoided higher salinity salt ponds (≥31 g/L). Forster's Terns typically used tidal marsh and managed marsh habitats in proportion to their availability, avoided upland and tidal flat habitats, and strongly avoided open bay habitats. Salt ponds provide important habitat for breeding waterbirds, and restoration efforts to convert former salt ponds to tidal marsh may reduce the availability of preferred breeding and foraging areas.</span></p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.039.0407","usgsCitation":"Bluso-Demers, J., Ackerman, J., Takekawa, J.Y., and Peterson, S.H., 2016, Habitat selection by Forster's Terns (Sterna forsteri) at multiple spatial scales in an urbanized estuary: The importance of salt ponds: Waterbirds, v. 39, no. 4, p. 375-387, https://doi.org/10.1675/063.039.0407.","productDescription":"13 p.","startPage":"375","endPage":"387","ipdsId":"IP-054152","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":332431,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay Estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.7886962890625,\n              37.35269280367274\n            ],\n            [\n              -122.7886962890625,\n              38.406253794852674\n            ],\n            [\n              -121.2506103515625,\n              38.406253794852674\n            ],\n            [\n              -121.2506103515625,\n              37.35269280367274\n            ],\n            [\n              -122.7886962890625,\n              37.35269280367274\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"39","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585ba2ebe4b01224f329b970","contributors":{"authors":[{"text":"Bluso-Demers, Jill","contributorId":177613,"corporation":false,"usgs":false,"family":"Bluso-Demers","given":"Jill","affiliations":[],"preferred":false,"id":656377,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":656376,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":656378,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, Sarah H. 0000-0003-2773-3901 sepeterson@usgs.gov","orcid":"https://orcid.org/0000-0003-2773-3901","contributorId":167181,"corporation":false,"usgs":true,"family":"Peterson","given":"Sarah","email":"sepeterson@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":656379,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179075,"text":"70179075 - 2016 - The Permian–Triassic transition in Colorado","interactions":[],"lastModifiedDate":"2016-12-15T15:38:49","indexId":"70179075","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1724,"text":"GSA Field Guides","active":true,"publicationSubtype":{"id":10}},"title":"The Permian–Triassic transition in Colorado","docAbstract":"<p id=\"p-1\">The Lykins Formation and its equivalents in Colorado are a stratigraphically poorly constrained suite of redbeds and intercalated stromatolitic carbonates, which is hypothesized to span the Permian-Triassic boundary. Herein we present a preliminary detrital zircon geochronology, new fossil occurrences, and δ<sup>13</sup>C chemostratigraphy for exposures along the Front Range and in southeastern Colorado, to refine understanding of the unit's age and depositional history.</p><p id=\"p-2\">Detrital zircons from the uppermost Lykins Formation and an overlying eolianite consist of a complex and highly diverse primary and multi-cycle grain population transported from Laurentian and Gondwanan terranes, potentially both by wind and water. Youngest concordant zircons do not rule out deposition of the uppermost Lykins Formation during a portion of Early Triassic time. Conodonts from the lower Lykins Formation require Middle Permian (Guadalupian) deposition. Conodont alteration indices of 1 indicate the unit has a shallow burial history and is amenable to paleomagnetic inquiry. Conodonts, together with other vertebrate, invertebrate, microfossil, and trace fossils, suggest a very shallow to emergent marine origin for the unit's most substantial carbonates, and hint at a marine origin for the unit's intercalated gypsum-anhydrite members. Chemostratigraphy corroborates field evidence of emergence and karst development capping certain units, like the Forelle Limestone Member of the Lykins Formation, where potential sequence boundaries appear to be punctuated by a short-lived meteoric signature.</p><p id=\"p-3\">Results presented here are a progress report of ongoing work in these successions. This field trip consists of a brief tour through exposures of the Lykins Formation, in which we will examine well-known localities as well as view new ones for which we seek insights.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2016.0044(03)","usgsCitation":"Hagadorn, J.S., Whitely, K.R., Lahey, B.L., Henderson, C., and Holm-Denoma, C.S., 2016, The Permian–Triassic transition in Colorado: GSA Field Guides, v. 44, p. 73-92, https://doi.org/10.1130/2016.0044(03).","productDescription":"20 p.","startPage":"73","endPage":"92","ipdsId":"IP-075809","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":332191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5853ba3fe4b0e2663625f2b2","contributors":{"authors":[{"text":"Hagadorn, James S.","contributorId":177483,"corporation":false,"usgs":false,"family":"Hagadorn","given":"James","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":655937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitely, Karen R.","contributorId":177484,"corporation":false,"usgs":false,"family":"Whitely","given":"Karen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":655938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lahey, Bonita L.","contributorId":177485,"corporation":false,"usgs":false,"family":"Lahey","given":"Bonita","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":655939,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henderson, Charles M.","contributorId":177486,"corporation":false,"usgs":false,"family":"Henderson","given":"Charles M.","affiliations":[],"preferred":false,"id":655940,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440 cholm-denoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":2442,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher","email":"cholm-denoma@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":655936,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70179090,"text":"70179090 - 2016 - Petroleum system model of the Upper Devonian-Lower Mississippian Bakken Formation in the northern Williston Basin, Saskatchewan, southwestern Manitoba, and southeastern Alberta, Canada","interactions":[],"lastModifiedDate":"2023-09-05T15:00:26.792955","indexId":"70179090","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Petroleum system model of the Upper Devonian-Lower Mississippian Bakken Formation in the northern Williston Basin, Saskatchewan, southwestern Manitoba, and southeastern Alberta, Canada","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hydrocarbon source rocks in unconventional plays, Rocky Mountain region: RMAG guidebook","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Rocky Mountain Association of Geologists","usgsCitation":"Higley, D.K., and Gianoutsos, N.J., 2016, Petroleum system model of the Upper Devonian-Lower Mississippian Bakken Formation in the northern Williston Basin, Saskatchewan, southwestern Manitoba, and southeastern Alberta, Canada, chap. <i>of</i> Hydrocarbon source rocks in unconventional plays, Rocky Mountain region: RMAG guidebook, p. 172-189.","productDescription":"18 p.","startPage":"172","endPage":"189","ipdsId":"IP-063119","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":333117,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.rmag.org/publications"},{"id":333118,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5878a48ce4b04df303d95812","contributors":{"authors":[{"text":"Higley, Debra K. 0000-0001-8024-9954 higley@usgs.gov","orcid":"https://orcid.org/0000-0001-8024-9954","contributorId":152663,"corporation":false,"usgs":true,"family":"Higley","given":"Debra","email":"higley@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":656024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gianoutsos, Nicholas J. 0000-0002-6510-6549 ngianoutsos@usgs.gov","orcid":"https://orcid.org/0000-0002-6510-6549","contributorId":3607,"corporation":false,"usgs":true,"family":"Gianoutsos","given":"Nicholas","email":"ngianoutsos@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":656025,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178632,"text":"70178632 - 2016 - Concentrations of mineral aerosol from desert to plains across the central Rocky Mountains, western United States","interactions":[],"lastModifiedDate":"2017-04-27T10:13:23","indexId":"70178632","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"Concentrations of mineral aerosol from desert to plains across the central Rocky Mountains, western United States","docAbstract":"<p><span>Mineral dusts can have profound effects on climate, clouds, ecosystem processes, and human health. Because regional dust emission and deposition in western North America are not well understood, measurements of total suspended particulate (TSP) from 2011 to 2013 were made along a 500-km transect of five remote sites in Utah and Colorado, USA. The TSP concentrations in μg&nbsp;m</span><sup>−3</sup><span> adjusted to a 24-h period were relatively high at the two westernmost, dryland sites at Canyonlands National Park (mean&nbsp;=&nbsp;135) and at Mesa Verde National Park (mean&nbsp;=&nbsp;99), as well as at the easternmost site on the Great Plains (mean&nbsp;=&nbsp;143). The TSP concentrations at the two intervening montane sites were less, with more loading on the western slope of the Rocky Mountains (Telluride, mean&nbsp;=&nbsp;68) closest to the desert sites compared with the site on the eastern slope (Niwot Ridge, mean&nbsp;=&nbsp;58). Dust concentrations were commonly highest during late winter-late spring, when Pacific frontal storms are the dominant causes of regional wind. Low concentrations (&lt;7&nbsp;wt%) of organic matter indicated that rock-derived mineral particles composed most TSP. Most TSP mass was carried by particle sizes larger than 10&nbsp;μm (PM</span><sub>&gt;10</sub><span>), as revealed by relatively low average daily concentrations of fine (&lt;5&nbsp;μg&nbsp;m</span><sup>−3</sup><span>; PM</span><sub>2.5</sub><span>) and coarse (&lt;10&nbsp;μg&nbsp;m</span><sup>−3</sup><span>; PM</span><sub>2.5–10</sub><span>) fractions monitored at or near four sites. Standard air-quality measurements for PM</span><sub>2.5</sub><span>&nbsp;and&nbsp;PM</span><sub>10</sub><span> apparently do not capture the large majority of mineral-particulate pollution in the remote western interior U.S.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2016.09.001","usgsCitation":"Reynolds, R.L., Munson, S.M., Fernandez, D., Goldstein, H.L., and Neff, J.C., 2016, Concentrations of mineral aerosol from desert to plains across the central Rocky Mountains, western United States: Aeolian Research, v. 23, p. 21-35, https://doi.org/10.1016/j.aeolia.2016.09.001.","productDescription":"15 p.","startPage":"21","endPage":"35","ipdsId":"IP-067488","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":462023,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aeolia.2016.09.001","text":"Publisher Index Page"},{"id":331402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584144dce4b04fc80e50736d","contributors":{"authors":[{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":139068,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":654643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":654644,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fernandez, Daniel","contributorId":80588,"corporation":false,"usgs":true,"family":"Fernandez","given":"Daniel","affiliations":[],"preferred":false,"id":654645,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldstein, Harland L. 0000-0002-6092-8818 hgoldstein@usgs.gov","orcid":"https://orcid.org/0000-0002-6092-8818","contributorId":807,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland","email":"hgoldstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":654646,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neff, Jason C.","contributorId":169417,"corporation":false,"usgs":false,"family":"Neff","given":"Jason","email":"","middleInitial":"C.","affiliations":[{"id":25504,"text":"Univ. of Colorado, Coulder, CO","active":true,"usgs":false}],"preferred":false,"id":654647,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70179194,"text":"70179194 - 2016 - Geological, geochemical, and reservoir characterization of the Uteland Butte member of the Green River Formation, Uinta Basin, Utah","interactions":[],"lastModifiedDate":"2018-01-08T13:16:06","indexId":"70179194","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Geological, geochemical, and reservoir characterization of the Uteland Butte member of the Green River Formation, Uinta Basin, Utah","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hydrocarbon source rocks in unconventional plays, Rocky Mountain Region","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Rocky Mountain Association of Geologists","usgsCitation":"Birdwell, J.E., Vanden Berg, M.D., Johnson, R.C., Mercier, T.J., Boehlke, A., and Brownfield, M.E., 2016, Geological, geochemical, and reservoir characterization of the Uteland Butte member of the Green River Formation, Uinta Basin, Utah, chap. <i>of</i> Hydrocarbon source rocks in unconventional plays, Rocky Mountain Region, p. 352-378.","productDescription":"27 p.","startPage":"352","endPage":"378","ipdsId":"IP-064022","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":333111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":333110,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.rmag.org/publications"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5878a48be4b04df303d9580a","contributors":{"editors":[{"text":"Dolan, Michael P.","contributorId":12880,"corporation":false,"usgs":false,"family":"Dolan","given":"Michael","email":"","middleInitial":"P.","affiliations":[{"id":7104,"text":"Dolan Integration Group, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":658344,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Higley, Debra K. 0000-0001-8024-9954 higley@usgs.gov","orcid":"https://orcid.org/0000-0001-8024-9954","contributorId":152663,"corporation":false,"usgs":true,"family":"Higley","given":"Debra","email":"higley@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":658345,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Lillis, Paul G. 0000-0002-7508-1699 plillis@usgs.gov","orcid":"https://orcid.org/0000-0002-7508-1699","contributorId":1817,"corporation":false,"usgs":true,"family":"Lillis","given":"Paul","email":"plillis@usgs.gov","middleInitial":"G.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":658346,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":656350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vanden Berg, Michael D.","contributorId":177609,"corporation":false,"usgs":false,"family":"Vanden Berg","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":656351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Ronald C. 0000-0002-6197-5165 rcjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-6197-5165","contributorId":1550,"corporation":false,"usgs":true,"family":"Johnson","given":"Ronald","email":"rcjohnson@usgs.gov","middleInitial":"C.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":656352,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mercier, Tracey J. 0000-0002-8232-525X tmercier@usgs.gov","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":2847,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey","email":"tmercier@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":656353,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boehlke, Adam 0000-0003-4980-431X aboehlke@usgs.gov","orcid":"https://orcid.org/0000-0003-4980-431X","contributorId":3470,"corporation":false,"usgs":true,"family":"Boehlke","given":"Adam","email":"aboehlke@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":656354,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":656355,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70179091,"text":"70179091 - 2016 - Overpressure development through time using 4D pressure-volume-temperature modeling in the deep Anadarko Basin, Colorado, Kansas, Oklahoma, and Texas","interactions":[],"lastModifiedDate":"2018-01-08T13:16:40","indexId":"70179091","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Overpressure development through time using 4D pressure-volume-temperature modeling in the deep Anadarko Basin, Colorado, Kansas, Oklahoma, and Texas","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hydrocarbon source rocks in unconventional plays, Rocky Mountain region: RMAG guidebook","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Rocky Mountain Association of Geologists","usgsCitation":"Higley, D.K., 2016, Overpressure development through time using 4D pressure-volume-temperature modeling in the deep Anadarko Basin, Colorado, Kansas, Oklahoma, and Texas, chap. <i>of</i> Hydrocarbon source rocks in unconventional plays, Rocky Mountain region: RMAG guidebook, p. 59-78.","productDescription":"19 p.","startPage":"59","endPage":"78","ipdsId":"IP-068623","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":333116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":333115,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.rmag.org/publications"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5878a48ce4b04df303d95810","contributors":{"authors":[{"text":"Higley, Debra K. 0000-0001-8024-9954 higley@usgs.gov","orcid":"https://orcid.org/0000-0001-8024-9954","contributorId":152663,"corporation":false,"usgs":true,"family":"Higley","given":"Debra","email":"higley@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":656026,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70178358,"text":"70178358 - 2016 - The 2016 groundwater flow model for Dane County, Wisconsin","interactions":[],"lastModifiedDate":"2017-01-03T14:13:59","indexId":"70178358","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":242,"text":"Bulletin","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"110","title":"The 2016 groundwater flow model for Dane County, Wisconsin","docAbstract":"<p>A new groundwater flow model for Dane County, Wisconsin, replaces an earlier model developed in the 1990s by the Wisconsin Geological and Natural History Survey (WGNHS) and the U.S. Geological Survey (USGS). This modeling study was conducted cooperatively by the WGNHS and the USGS with funding from the Capital Area Regional Planning Commission (CARPC). Although the overall conceptual model of the groundwater system remains largely unchanged, the incorporation of newly acquired high-quality datasets, recent research findings, and improved modeling and calibration techniques have led to the development of a more detailed and sophisticated model representation of the groundwater system. The new model is three-dimensional and transient, and conceptualizes the county’s hydrogeology as a 12-layer system including all major unlithified and bedrock hydrostratigraphic units and two high-conductivity horizontal fracture zones. </p><p>Beginning from the surface down, the model represents the unlithified deposits as two distinct model layers (1 and 2). A single layer (3) simulates the Ordovician sandstone and dolomite of the Sinnipee, Ancell, and Prairie du Chien Groups. Sandstone of the Jordan Formation (layer 4) and silty dolostone of the St. Lawrence Formation (layer 5) each comprise separate model layers. The underlying glauconitic sandstone of the Tunnel City Group makes up three distinct layers: an upper aquifer (layer 6), a fracture feature (layer 7), and a lower aquifer (layer 8). The fracture layer represents a network of horizontal bedding-plane fractures that serve as a preferential pathway for groundwater flow. The model simulates the sandstone of the Wonewoc Formation as an upper aquifer (layer 9) with a bedding-plane fracture feature (layer 10) at its base. The Eau Claire aquitard (layer 11) includes shale beds within the upper portion of the Eau Claire Formation. This layer, along with overlying bedrock units, is mostly absent in the preglacially eroded valleys along the Yahara River valley and in northeastern Dane County. Layer 12 represents the Mount Simon sandstone as the lowermost model layer. It directly overlies the Precambrian crystalline basement rock, whose top surface forms the lower boundary of the model. </p><p>The model uses the USGS MODFLOW-NWT finite-difference code, a standalone version of MODFLOW-2005 that incorporates the Newton (NWT) solver. MODFLOW-NWT improves the handling of unconfined conditions by smoothing the transition from wet to dry cells. The model explicitly simulates groundwater–surface-water interaction with streamflow routing and lake-level fluctuation. Model input included published and unpublished hydrogeologic data from recent estimates of aquifer hydraulic conductivities. A spatial groundwater recharge distribution was obtained from a recent GIS-based, soil-water-balance model for Dane County. Groundwater withdrawals from pumping were simulated for 572 wells across the entire model domain, which includes Dane County and portions of seven neighboring counties—Columbia, Dodge, Green, Iowa, Jefferson, Lafayette, and Rock. These wells withdrew an average of 60 million gallons per day (mgd) over the 5-year period from 2006 through 2010. Within Dane County, 385 wells were simulated with an average withdrawal rate of 52 mgd.</p><p>Model calibration used the parameter estimation code PEST, and calibration targets included heads, stream and spring flows, lake levels, and borehole flows. Steady-state calibration focused on the period 2006 through 2010; the transient calibration focused on the 7-week drought period from late May through July 2012. </p><p>This model represents a significant step forward from previous work because of its finer grid resolution, improved hydrostratigraphic discretization, transient capabilities, and more sophisticated representation of surface-water features and multi-aquifer wells.</p><p>Potential applications of the model include evaluation of potential sites for and impacts of new high-capacity wells, development of wellhead protection plans, evaluating the effects of changing land use and climate on groundwater, and quantifying the relationships between groundwater and surface water.</p>","language":"English","publisher":"Wisconsin Geological and Natural History Survey","isbn":"978-0-88169-992-0","usgsCitation":"Parsen, M.J., Bradbury, K.R., Hunt, R.J., and Feinstein, D.T., 2016, The 2016 groundwater flow model for Dane County, Wisconsin: Bulletin 110, 56 p.","productDescription":"56 p.","numberOfPages":"64","ipdsId":"IP-071783","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":332790,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":330992,"type":{"id":15,"text":"Index Page"},"url":"https://wgnhs.uwex.edu/dane-county-groundwater-model/"}],"country":"United States","state":"Wisconsin","county":"Dane County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-89.0094,43.286],[-89.0084,43.2555],[-89.0094,43.2],[-89.01,43.1131],[-89.0109,43.0849],[-89.0107,43.0271],[-89.0132,42.9353],[-89.013,42.8762],[-89.0119,42.8471],[-89.132,42.8479],[-89.2488,42.8478],[-89.3689,42.8484],[-89.3688,42.8575],[-89.4832,42.858],[-89.6026,42.8575],[-89.7196,42.8587],[-89.8377,42.8598],[-89.8375,42.9471],[-89.8386,43.0317],[-89.8384,43.1181],[-89.8394,43.205],[-89.8325,43.2123],[-89.825,43.2187],[-89.8175,43.226],[-89.8125,43.2342],[-89.8088,43.2369],[-89.8012,43.2365],[-89.7874,43.2356],[-89.771,43.237],[-89.7579,43.2379],[-89.7529,43.2443],[-89.7485,43.2507],[-89.7391,43.2548],[-89.7259,43.2644],[-89.7171,43.2739],[-89.714,43.2821],[-89.7165,43.2867],[-89.7235,43.2935],[-89.7209,43.2935],[-89.6008,43.2932],[-89.4819,43.2942],[-89.3617,43.2954],[-89.3624,43.2832],[-89.246,43.2834],[-89.1271,43.2827],[-89.0094,43.286]]]},\"properties\":{\"name\":\"Dane\",\"state\":\"WI\"}}]}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"586cc695e4b0f5ce109fa953","contributors":{"authors":[{"text":"Parsen, Michael J.","contributorId":176845,"corporation":false,"usgs":false,"family":"Parsen","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":657411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradbury, Kenneth R.","contributorId":49419,"corporation":false,"usgs":true,"family":"Bradbury","given":"Kenneth","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":657412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":657413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Feinstein, Daniel T. 0000-0003-1151-2530 dtfeinst@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-2530","contributorId":1907,"corporation":false,"usgs":true,"family":"Feinstein","given":"Daniel","email":"dtfeinst@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":657414,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193693,"text":"70193693 - 2016 - Use of noninvasive genetics to assess nest and space use by white-tailed eagles","interactions":[],"lastModifiedDate":"2017-11-22T17:19:58","indexId":"70193693","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Use of noninvasive genetics to assess nest and space use by white-tailed eagles","docAbstract":"<p>Movement and space use are important components of animal interactions with the environment. However, for hard-to-monitor raptor species, there are substantial gaps in our understanding of these key determinants. We used noninvasive genetic tools to evaluate the details of space use over a 3-yr period by White-tailed Eagles (<i><i>Haliaeetus albicilla</i></i>) at the Naurzum Zapovednik in northern Kazakhstan. We genotyped, at 10 microsatellite markers and one mitochondrial marker, 859 eagle feathers and assigned naturally shed feathers to individuals. We identified 124 White-tailed Eagles, including both members of 5–10 pairs per year, and were able to monitor birds across years. Distances between eagle nests and hunting perches were always greater than nearest neighbor distances, eagles never used the closest available hunting perch, and hunting perches were always shared with other eagles. When eagles switched nests between years, the nests they chose were almost always well outside the space that theory predicted they defended the prior year. Our data are inconsistent with classical territorial and colonial models of resource use; they more closely resemble semi-colonial behavior. It is unlikely that standard methods of animal tracking (e.g., marking and telemetry), would have provided a similarly cost-effective mechanism to gain these insights into spatial and temporal aspects of eagle behavior. When combined with existing information on space use of other local species, these data suggest that partitioning of spatial resources among White-tailed Eagles and other eagles at the Zapovednik may be facilitated by the alternative strategies of space use they employ.</p>","language":"English","publisher":"The Raptor Research Foundation","doi":"10.3356/JRR-15-84.1","usgsCitation":"Bulut, Z., Bragin, E.A., DeWoody, J.A., Braham, M.A., Katzner, T., and Doyle, J.M., 2016, Use of noninvasive genetics to assess nest and space use by white-tailed eagles: Journal of Raptor Research, v. 50, no. 4, p. 351-362, https://doi.org/10.3356/JRR-15-84.1.","productDescription":"12 p.","startPage":"351","endPage":"362","ipdsId":"IP-069074","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":470350,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.3356/JRR-15-84.1","text":"External Repository"},{"id":348205,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Kazakhstan","otherGeospatial":"Naurzum Zapovednik","volume":"50","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a003151e4b0531197b5a74e","contributors":{"authors":[{"text":"Bulut, Zafer","contributorId":182413,"corporation":false,"usgs":false,"family":"Bulut","given":"Zafer","email":"","affiliations":[{"id":30222,"text":"Selcuk University","active":true,"usgs":false}],"preferred":false,"id":720398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":720399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeWoody, J. Andrew","contributorId":175103,"corporation":false,"usgs":false,"family":"DeWoody","given":"J.","email":"","middleInitial":"Andrew","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":720400,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Braham, Melissa A.","contributorId":199740,"corporation":false,"usgs":false,"family":"Braham","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":34303,"text":"West Virginia University, Department of Geology & Geography","active":true,"usgs":false}],"preferred":false,"id":720401,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":5979,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":720402,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Doyle, Jacqueline M.","contributorId":175099,"corporation":false,"usgs":false,"family":"Doyle","given":"Jacqueline","email":"","middleInitial":"M.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":720403,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70181776,"text":"70181776 - 2016 - Population-specific life histories contribute to metapopulation viability","interactions":[],"lastModifiedDate":"2017-02-14T11:04:50","indexId":"70181776","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Population-specific life histories contribute to metapopulation viability","docAbstract":"<p><span>Restoration efforts can be improved by understanding how variations in life-history traits occur within populations of the same species living in different environments. This can be done by first understanding the demographic responses of natural occurring populations. Population viability analysis continues to be useful to species management and conservation with sensitivity analysis aiding in the understanding of population dynamics. In this study, using life-table response experiments and elasticity analyses, we investigated how population-specific life-history demographic responses contributed to the metapopulation viability of the Federally threatened Pitcher's thistle (</span><i>Cirsium pitcheri</i><span>). Specifically, we tested the following hypotheses: (1) Subpopulations occupying different environments within a metapopulation have independent demographic responses and (2) advancing succession results in a shift from a demographic response focused on growth and fecundity to one dominated by stasis. Our results showed that reintroductions had a positive contribution to the metapopulation growth rate as compared to native populations which had a negative contribution. We found no difference in succession on the contribution to metapopulation viability. In addition, we identified distinct population-specific contributions to metapopulation viability and were able to associate specific life-history demographic responses. For example, the positive impact of Miller High Dunes population on the metapopulation growth rate resulted from high growth contributions, whereas increased time of plant in stasis for the State Park Big Blowout population resulted in negative contributions. A greater understanding of how separate populations respond in their corresponding environment may ultimately lead to more effective management strategies aimed at reducing extinction risk. We propose the continued use of sensitivity analyses to evaluate population-specific demographic influences on metapopulation viability. In understanding the underlying causes of the projected extinction probabilities of each population and identifying broad-scale contributions of different populations to the metapopulation, the process of pinpointing target populations is simplified. More detailed analyses can then be applied to the target populations to increase population viability and consequently metapopulation viability. Based on our research, we suggest that the best approach to improve the overall metapopulation viability is to manage the contributions to population growth for each population separately.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1536","usgsCitation":"Halsey, S.J., Bell, T.J., McEachern, K., and Pavlovic, N.B., 2016, Population-specific life histories contribute to metapopulation viability: Ecosphere, v. 7, no. 11, p. 1-13, https://doi.org/10.1002/ecs2.1536.","productDescription":"e01536; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-073189","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":470360,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1536","text":"Publisher Index Page"},{"id":335331,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"11","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-08","publicationStatus":"PW","scienceBaseUri":"58a4252fe4b0c825128ad404","chorus":{"doi":"10.1002/ecs2.1536","url":"http://dx.doi.org/10.1002/ecs2.1536","publisher":"Wiley-Blackwell","authors":"Halsey Samniqueka J., Bell Timothy J., McEachern Kathryn, Pavlovic Noel B.","journalName":"Ecosphere","publicationDate":"11/2016","auditedOn":"11/15/2016"},"contributors":{"authors":[{"text":"Halsey, Samniqueka J.","contributorId":181523,"corporation":false,"usgs":false,"family":"Halsey","given":"Samniqueka","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":668485,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bell, Timothy J.","contributorId":181524,"corporation":false,"usgs":false,"family":"Bell","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":668486,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McEachern, Kathryn 0000-0003-2631-8247 kathryn_mceachern@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-8247","contributorId":146324,"corporation":false,"usgs":true,"family":"McEachern","given":"Kathryn","email":"kathryn_mceachern@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":668487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pavlovic, Noel B. 0000-0002-2335-2274 npavlovic@usgs.gov","orcid":"https://orcid.org/0000-0002-2335-2274","contributorId":1976,"corporation":false,"usgs":true,"family":"Pavlovic","given":"Noel","email":"npavlovic@usgs.gov","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":668484,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70182771,"text":"70182771 - 2016 - Evolutionary traps as keys to understanding behavioral maladaptation","interactions":[],"lastModifiedDate":"2017-03-01T12:36:53","indexId":"70182771","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5307,"text":"Current Opinion in Behavioral Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Evolutionary traps as keys to understanding behavioral maladaptation","docAbstract":"<p><span>Evolutionary traps are severe cases of behavioral maladaptation that occur when, due to human activity, the cues animals use to guide their behavior become uncoupled from their fitness consequences. The result is that animals can prefer the most dangerous resources or behaviors, even when better options are available. Traps are increasingly common and represent a significant wildlife conservation problem. Understanding of the more proximate sensory-cognitive mechanisms underpinning traps remains poor, which highlights the need for interdisciplinary and collaborative approaches to investigating traps. Key to advancing basic trap theory and its conservation applications will be the development of appropriate and tractable model systems to investigate the mechanisms that cause traps within species, and how mechanisms vary across species.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.cobeha.2016.08.007","usgsCitation":"Robertson, B.A., and Chalfoun, A., 2016, Evolutionary traps as keys to understanding behavioral maladaptation: Current Opinion in Behavioral Sciences, v. 12, p. 12-17, https://doi.org/10.1016/j.cobeha.2016.08.007.","productDescription":"6 p.","startPage":"12","endPage":"17","ipdsId":"IP-074196","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":336749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b7eba5e4b01ccd5500baef","contributors":{"authors":[{"text":"Robertson, Bruce A.","contributorId":171947,"corporation":false,"usgs":false,"family":"Robertson","given":"Bruce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":680422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalfoun, Anna","contributorId":184161,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","affiliations":[],"preferred":false,"id":673693,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70182493,"text":"70182493 - 2016 - Evaluating new SMAP soil moisture for drought monitoring in the rangelands of the US High Plains","interactions":[],"lastModifiedDate":"2017-04-07T14:33:04","indexId":"70182493","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3230,"text":"Rangelands","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating new SMAP soil moisture for drought monitoring in the rangelands of the US High Plains","docAbstract":"<p><ul><li>Level 3 soil moisture datasets from the recently launched Soil Moisture Active Passive (SMAP) satellite are evaluated for drought monitoring in rangelands.<br></li><li>Validation of SMAP soil moisture (SSM) with <i>in situ</i> and modeled estimates showed high level of agreement.<br></li><li>SSM showed the highest correlation with surface soil moisture (0-5 cm) and a strong correlation to depths up to 20 cm.<br></li><li>SSM showed a reliable and expected response of capturing seasonal dynamics in relation to precipitation, land surface temperature, and evapotranspiration.<br></li><li>Further evaluation using multi-year SMAP datasets is necessary to quantify the full benefits and limitations for drought monitoring in rangelands.<br></li></ul></p><p><br></p><p></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rala.2016.06.002","usgsCitation":"Velpuri, N.M., Senay, G.B., and Morisette, J.T., 2016, Evaluating new SMAP soil moisture for drought monitoring in the rangelands of the US High Plains: Rangelands, v. 38, no. 4, p. 183-190, https://doi.org/10.1016/j.rala.2016.06.002.","productDescription":"8 p.","startPage":"183","endPage":"190","ipdsId":"IP-075375","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470359,"rank":0,"type":{"id":40,"text":"Open 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senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":671254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morisette, Jeffrey T. 0000-0002-0483-0082 morisettej@usgs.gov","orcid":"https://orcid.org/0000-0002-0483-0082","contributorId":307,"corporation":false,"usgs":true,"family":"Morisette","given":"Jeffrey","email":"morisettej@usgs.gov","middleInitial":"T.","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":671255,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193635,"text":"70193635 - 2016 - Accurate recapture identification for genetic mark–recapture studies with error-tolerant likelihood-based match calling and sample clustering","interactions":[],"lastModifiedDate":"2017-11-13T14:58:13","indexId":"70193635","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3908,"text":"Royal Society Open Science","active":true,"publicationSubtype":{"id":10}},"title":"Accurate recapture identification for genetic mark–recapture studies with error-tolerant likelihood-based match calling and sample clustering","docAbstract":"<p><span>Error-tolerant likelihood-based match calling presents a promising technique to accurately identify recapture events in genetic mark–recapture studies by combining probabilities of latent genotypes and probabilities of observed genotypes, which may contain genotyping errors. Combined with clustering algorithms to group samples into sets of recaptures based upon pairwise match calls, these tools can be used to reconstruct accurate capture histories for mark–recapture modelling. Here, we assess the performance of a recently introduced error-tolerant likelihood-based match-calling model and sample clustering algorithm for genetic mark–recapture studies. We assessed both biallelic (i.e. single nucleotide polymorphisms; SNP) and multiallelic (i.e. microsatellite; MSAT) markers using a combination of simulation analyses and case study data on Pacific walrus (</span><i>Odobenus rosmarus divergens</i><span>) and fishers (</span><i>Pekania pennanti</i><span>). A novel two-stage clustering approach is demonstrated for genetic mark–recapture applications. First, repeat captures within a sampling occasion are identified. Subsequently, recaptures across sampling occasions are identified. The likelihood-based matching protocol performed well in simulation trials, demonstrating utility for use in a wide range of genetic mark–recapture studies. Moderately sized SNP (64+) and MSAT (10–15) panels produced accurate match calls for recaptures and accurate non-match calls for samples from closely related individuals in the face of low to moderate genotyping error. Furthermore, matching performance remained stable or increased as the number of genetic markers increased, genotyping error notwithstanding.</span></p>","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rsos.160457","usgsCitation":"Sethi, S., Linden, D., Wenburg, J., Lewis, C., Lemons, P.R., Fuller, A.K., and Hare, M.P., 2016, Accurate recapture identification for genetic mark–recapture studies with error-tolerant likelihood-based match calling and sample clustering: Royal Society Open Science, v. 3, p. 1-14, https://doi.org/10.1098/rsos.160457.","productDescription":"Article 160457; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-076769","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470349,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsos.160457","text":"Publisher Index Page"},{"id":348725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc7de4b06e28e9c23f09","contributors":{"authors":[{"text":"Sethi, Suresh 0000-0002-0053-1827 ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":191424,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Linden, Daniel","contributorId":199671,"corporation":false,"usgs":false,"family":"Linden","given":"Daniel","affiliations":[],"preferred":false,"id":719698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wenburg, John","contributorId":199672,"corporation":false,"usgs":false,"family":"Wenburg","given":"John","affiliations":[],"preferred":false,"id":719699,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lewis, Cara","contributorId":199673,"corporation":false,"usgs":false,"family":"Lewis","given":"Cara","affiliations":[],"preferred":false,"id":719700,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lemons, Patrick R.","contributorId":11014,"corporation":false,"usgs":true,"family":"Lemons","given":"Patrick","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":719701,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719703,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hare, Matthew P.","contributorId":171454,"corporation":false,"usgs":false,"family":"Hare","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":719702,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70193684,"text":"70193684 - 2016 - Timing of spring wild turkey hunting in relation to nest incubation","interactions":[],"lastModifiedDate":"2017-11-08T16:03:20","indexId":"70193684","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Timing of spring wild turkey hunting in relation to nest incubation","docAbstract":"<p>State wildlife agencies are often requested to open spring wild turkey (<i>Meleagris gallopavo</i>; hereafter, turkey) hunting seasons earlier to increase hunter satisfaction by hunters hearing more gobbling male turkeys. Timing of spring turkey hunting season in several states, including Pennsylvania, has been established to open, on average, near median date of incubation initiation of turkey nests. This is believed to reduce illegal and undesired hen harvest and possibly nest abandonment, while maintaining hunter satisfaction of hearing male turkeys when most hens are incubating eggs. However, Pennsylvania’s spring season structure was established in 1968. Given earlier spring phenology, and potentially more variation in spring weather due to climate change, there is concern that timing of nest incubation for turkeys in Pennsylvania could be changing. Therefore, our objective was to determine if nest incubation and opening of spring turkey hunting in Pennsylvania have continued to coincide. We attached satellite transmitters to 254 female turkeys during 2010–2014 and estimated median incubation initiation date to be 2 May, which was 2 days earlier than median date during a statewide study during 1953–1963 and 9 days earlier than during a smaller scale study in south–central Pennsylvania during 2000–2001. However, incubation initiation varied greatly among years and individual hens during all 3 studies. During 4 of 5 years of our study, Pennsylvania’s spring season opened 3 to 8 days prior to median date of incubation initiation. Over the 5 years, estimated initiation of incubation for first nesting attempts, measured from earliest date of incubation initiation to latest, was &gt;2 months and maximum proportion of hens beginning incubation at any one time differed by several days to &gt;1 week. Consequently, in years of late incubation, a constant season opening date set near the long-term median date of incubation initiation exposes few additional hens to risk and hunter satisfaction is likely maintained at greater levels than would be seen with a more conservative approach of opening the season later. Long-term and large scale studies using GPS transmitters that provide precise determination of incubation initiation will be useful to study environmental influences on initiation of incubation.</p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the National Wild Turkey Symposium","conferenceTitle":"11th National Wild Turkey Symposium","conferenceDate":"January 5-7, 2016","conferenceLocation":"Tucson, Arizona","language":"English","usgsCitation":"Casalena, M.J., Everett, R., Vreeland, W.C., Gregg, I.D., and Diefenbach, D.R., 2016, Timing of spring wild turkey hunting in relation to nest incubation, <i>in</i> Proceedings of the National Wild Turkey Symposium, v. 11, Tucson, Arizona, January 5-7, 2016, p. 237-247.","productDescription":"11 p.","startPage":"237","endPage":"247","ipdsId":"IP-064331","costCenters":[{"id":199,"text":"Coop Res Unit 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,{"id":70193685,"text":"70193685 - 2016 - Semiautomatic mapping of permafrost in the Yukon Flats, Alaska","interactions":[],"lastModifiedDate":"2017-11-02T16:37:20","indexId":"70193685","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","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":"Semiautomatic mapping of permafrost in the Yukon Flats, Alaska","docAbstract":"<p>Thawing of permafrost due to global warming can have major impacts on hydrogeological processes, climate feedback, arctic ecology, and local environments. To understand these effects and processes, it is crucial to know the distribution of permafrost. In this study we exploit the fact that airborne electromagnetic (AEM) data are sensitive to the distribution of permafrost and demonstrate how the distribution of permafrost in the Yukon Flats, Alaska, is mapped in an efficient (semiautomatic) way, using a combination of supervised and unsupervised (machine) learning algorithms, i.e., Smart Interpretation and K-means clustering. Clustering is used to sort unfrozen and frozen regions, and Smart Interpretation is used to predict the depth of permafrost based on expert interpretations. This workflow allows, for the first time, a quantitative and objective approach to efficiently map permafrost based on large amounts of AEM data.</p>","language":"English","publisher":"AGU","doi":"10.1002/2016GL071334","usgsCitation":"Gulbrandsen, M.L., Minsley, B.J., Ball, L.B., and Hansen, T.M., 2016, Semiautomatic mapping of permafrost in the Yukon Flats, Alaska: Geophysical Research Letters, v. 43, no. 23, p. 12131-12137, https://doi.org/10.1002/2016GL071334.","productDescription":"7 p.","startPage":"12131","endPage":"12137","ipdsId":"IP-080706","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":470396,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2016gl071334","text":"External Repository"},{"id":348149,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon Flats","volume":"43","issue":"23","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-09","publicationStatus":"PW","scienceBaseUri":"59fc2ea6e4b0531197b27f87","contributors":{"authors":[{"text":"Gulbrandsen, Mats Lundh","contributorId":199734,"corporation":false,"usgs":false,"family":"Gulbrandsen","given":"Mats","email":"","middleInitial":"Lundh","affiliations":[{"id":27198,"text":"Niels Bohr Institute, University of Copenhagen","active":true,"usgs":false}],"preferred":false,"id":719885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":719884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":719886,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Thomas Mejer","contributorId":199735,"corporation":false,"usgs":false,"family":"Hansen","given":"Thomas","email":"","middleInitial":"Mejer","affiliations":[{"id":27198,"text":"Niels Bohr Institute, University of Copenhagen","active":true,"usgs":false}],"preferred":false,"id":719887,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193660,"text":"70193660 - 2016 - Structured decision making as a framework for large-scale wildlife harvest management decisions","interactions":[],"lastModifiedDate":"2017-11-05T21:40:27","indexId":"70193660","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Structured decision making as a framework for large-scale wildlife harvest management decisions","docAbstract":"<p>Fish and wildlife harvest management at large spatial scales often involves making complex decisions with multiple objectives and difficult tradeoffs, population demographics that vary spatially, competing stakeholder values, and uncertainties that might affect management decisions. Structured decision making (SDM) provides a formal decision analytic framework for evaluating difficult decisions by breaking decisions into component parts and separating the values of stakeholders from the scientific evaluation of management actions and uncertainty. The result is a rigorous, transparent, and values-driven process. This decision-aiding process provides the decision maker with a more complete understanding of the problem and the effects of potential management actions on stakeholder values, as well as how key uncertainties can affect the decision. We use a case study to illustrate how SDM can be used as a decision-aiding tool for management decision making at large scales. We evaluated alternative white-tailed deer (<i>Odocoileus virginianus</i>) buck-harvest regulations in New York designed to reduce harvest of yearling bucks, taking into consideration the values of the state wildlife agency responsible for managing deer, as well as deer hunters. We incorporated tradeoffs about social, ecological, and economic management concerns throughout the state. Based on the outcomes of predictive models, expert elicitation, and hunter surveys, the SDM process identified management alternatives that optimized competing objectives. The SDM process provided biologists and managers insight about aspects of the buck-harvest decision that helped them adopt a management strategy most compatible with diverse hunter values and management concerns.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.1613","usgsCitation":"Robinson, K., Fuller, A.K., Hurst, J.E., Swift, B.L., Kirsch, A., Farquhar, J.F., Decker, D.J., and Siemer, W.F., 2016, Structured decision making as a framework for large-scale wildlife harvest management decisions: Ecosphere, v. 7, no. 12, Article e01613; 14 p., https://doi.org/10.1002/ecs2.1613.","productDescription":"Article e01613; 14 p.","ipdsId":"IP-078686","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470346,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1613","text":"Publisher Index Page"},{"id":348207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"5a003151e4b0531197b5a750","contributors":{"authors":[{"text":"Robinson, Kelly F.","contributorId":140157,"corporation":false,"usgs":false,"family":"Robinson","given":"Kelly F.","affiliations":[{"id":13267,"text":"Warnell School of Forestry and Natural Resources, University of Georgia","active":true,"usgs":false},{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false},{"id":473,"text":"New York Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":719792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hurst, Jeremy E.","contributorId":177504,"corporation":false,"usgs":false,"family":"Hurst","given":"Jeremy","email":"","middleInitial":"E.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":719793,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swift, Bryan L.","contributorId":11433,"corporation":false,"usgs":false,"family":"Swift","given":"Bryan","email":"","middleInitial":"L.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":719794,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kirsch, Arthur","contributorId":199698,"corporation":false,"usgs":false,"family":"Kirsch","given":"Arthur","email":"","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":719795,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Farquhar, James F.","contributorId":150969,"corporation":false,"usgs":false,"family":"Farquhar","given":"James","email":"","middleInitial":"F.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":719796,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Decker, Daniel J.","contributorId":166906,"corporation":false,"usgs":false,"family":"Decker","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":719797,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Siemer, William F.","contributorId":192551,"corporation":false,"usgs":false,"family":"Siemer","given":"William","email":"","middleInitial":"F.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":719798,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70194004,"text":"70194004 - 2016 - Occurrence and effects of endocrine-disrupting chemicals in the St. Croix River","interactions":[],"lastModifiedDate":"2017-12-21T10:10:31","indexId":"70194004","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Occurrence and effects of endocrine-disrupting chemicals in the St. Croix River","docAbstract":"The St. Croix River is one of the last undisturbed, large floodplain rivers in the upper Mississippi River System. The Saint Croix National Scenic Riverway encompasses 255 river miles from the St. Croix Flowage and Namekagon River to the confluence of the St. Croix River with the Mississippi River at Prescott, Wisconsin. The Wild and Scenic Rivers Act of 1968 includes protection of the “outstandingly remarkable values” of the St. Croix and Namekagon rivers, which are included in the first eight designated wild and scenic rivers. The National Park Service (NPS) supports efforts to ensure these high-quality waters are not degraded by endocrine-disrupting or pharmaceutically active chemicals.","language":"English","publisher":"National Park Service","usgsCitation":"Elliott, S.M., and Lee, K., 2016, Occurrence and effects of endocrine-disrupting chemicals in the St. Croix River, 2 p.","productDescription":"2 p.","ipdsId":"IP-077891","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":350120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350119,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://www.nature.nps.gov/water/crystalclear/assets/docs/SACN_Crystal_Clear_Brief.pdf","text":"Report","size":"738 kB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":348738,"type":{"id":15,"text":"Index Page"},"url":"https://www.nature.nps.gov/water/crystalclear/projects.cfm"}],"country":"United States","state":"Minnesota, Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.06817626953125,\n              46.137976523476574\n            ],\n            [\n              -92.1807861328125,\n              46.160809861457125\n            ],\n            [\n              -92.38677978515625,\n              46.13607331774968\n            ],\n            [\n              -92.57904052734375,\n              46.117037642576875\n            ],\n            [\n              -92.80426025390625,\n              45.97215152618961\n            ],\n            [\n              -92.9498291015625,\n              45.86132487333675\n            ],\n            [\n              -92.955322265625,\n              45.84028105450088\n            ],\n            [\n              -92.92236328125,\n              45.25362179991922\n            ],\n            [\n              -92.8564453125,\n              44.731125592643274\n            ],\n            [\n              -92.66693115234375,\n              44.73697895420882\n            ],\n            [\n              -92.59277343749999,\n              45.08127861241874\n            ],\n            [\n              -92.5213623046875,\n              45.398449976304086\n            ],\n            [\n              -92.56256103515625,\n              45.592900208269825\n            ],\n            [\n              -92.46093749999999,\n              45.763690956618674\n            ],\n            [\n              -92.32635498046875,\n              45.93778073466329\n            ],\n            [\n              -92.076416015625,\n              46.02176059146292\n            ],\n            [\n              -92.06817626953125,\n              46.137976523476574\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc7de4b06e28e9c23f07","contributors":{"authors":[{"text":"Elliott, Sarah M. 0000-0002-1414-3024 selliott@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-3024","contributorId":1472,"corporation":false,"usgs":true,"family":"Elliott","given":"Sarah","email":"selliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":721888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Kathy 0000-0002-7683-1367 klee@usgs.gov","orcid":"https://orcid.org/0000-0002-7683-1367","contributorId":2538,"corporation":false,"usgs":true,"family":"Lee","given":"Kathy","email":"klee@usgs.gov","affiliations":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":721889,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187744,"text":"70187744 - 2016 - Environmental extremes and biotic interactions facilitate depredation of endangered California Ridgway’s rail in a San Francisco Bay tidal marsh","interactions":[],"lastModifiedDate":"2017-05-16T15:44:08","indexId":"70187744","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1153,"text":"California Fish and Game","active":true,"publicationSubtype":{"id":10}},"title":"Environmental extremes and biotic interactions facilitate depredation of endangered California Ridgway’s rail in a San Francisco Bay tidal marsh","docAbstract":"<p>On 23 December 2015 while performing a high tide population survey for endangered Ridgway’s rails (Rallus obsoletus obsoletus; formerly known as the California clapper rail) and other rail species at Arrowhead Marsh, Martin Luther King Jr. Regional Shoreline, Oakland, California, the authors observed a series of species interactions resulting in the predation of a Ridgway’s rail by an adult female peregrine falcon (Falco peregrinus). High tide surveys are performed during the highest tides of the year when tidal marsh vegetation at Arrowhead Marsh becomes inundated, concentrating the tidal marsh obligate species into the limited area of emergent vegetation remaining as refuge cover. Annual mean tide level (elevation referenced relative to mean lower low water) at Arrowhead Marsh is 1.10 m, mean higher high water is 2.04 m (NOAA National Ocean Service 2014) and the average elevation of the marsh surface is 1.60 m (Overton et al. 2014). Tidal conditions on the day of the survey were predicted to be 2.42 m. Observed tides at the nearby Alameda Island tide gauge were 8 cm higher than predicted due to a regional low-pressure system and warmer than average sea surface temperatures (NOAA National Ocean Service 2014). The approximately 80 cm deep inundation of the marsh plain was sufficient to completely submerge tidal marsh vegetation and effectively remove 90% of refugia habitats.</p>","language":"English","publisher":"California Department of Fish and Wildlife","usgsCitation":"Overton, C.T., Bobzien, S., and Grefsrud, M., 2016, Environmental extremes and biotic interactions facilitate depredation of endangered California Ridgway’s rail in a San Francisco Bay tidal marsh: California Fish and Game, v. 102, no. 4, p. 157-161.","productDescription":"5 p.","startPage":"157","endPage":"161","ipdsId":"IP-077798","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":341393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":341379,"type":{"id":11,"text":"Document"},"url":"https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=141860&inline"}],"volume":"102","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591c0fc8e4b0a7fdb43ddeee","contributors":{"authors":[{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":695401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bobzien, Steven","contributorId":167184,"corporation":false,"usgs":false,"family":"Bobzien","given":"Steven","email":"","affiliations":[{"id":24634,"text":"East Bay Regional Park District","active":true,"usgs":false}],"preferred":false,"id":695402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grefsrud, Marcia","contributorId":192076,"corporation":false,"usgs":false,"family":"Grefsrud","given":"Marcia","email":"","affiliations":[],"preferred":false,"id":695403,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189249,"text":"70189249 - 2016 - High spatial resolution U-Pb geochronology and Pb isotope geochemistry of magnetite-apatite ore from the Pea Ridge iron oxide-apatite deposit, St. Francois Mountains, southeast Missouri, USA","interactions":[],"lastModifiedDate":"2017-07-06T12:53:07","indexId":"70189249","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"High spatial resolution U-Pb geochronology and Pb isotope geochemistry of magnetite-apatite ore from the Pea Ridge iron oxide-apatite deposit, St. Francois Mountains, southeast Missouri, USA","docAbstract":"<p><span>The Pea Ridge iron oxide-apatite (IOA) deposit is one of the major rhyolite-hosted magnetite deposits of the St. Francois Mountains terrane, which is located within the Mesoproterozoic (1.5–1.3 Ga) Granite-Rhyolite province in the U.S. Midcontinent. Precise and accurate determination of the timing and duration of oreforming processes in this deposit is crucial for understanding its origin and placing it within a deposit-scale and regional geologic context. Apatite and monazite, well-established U-Pb mineral geochronometers, are abundant in the Pea Ridge orebody. However, the potential presence of multiple generations of dateable minerals, processes of dissolution-reprecipitation, and occurrence of micrometer-sized intergrowths and inclusions complicate measurements and interpretations of the geochronological results. Here, we employ a combination of several techniques, including ID-TIMS and high spatial resolution geochronology of apatite and monazite using LA-SC-ICPMS and SHRIMP, and Pb isotope geochemistry of pyrite and magnetite to obtain the first direct age constraints on the formation and alteration history of the Pea Ridge IOA deposit. The oldest apatite TIMS&nbsp;</span><sup>207</sup><span>Pb*/</span><sup>206</sup><span>Pb* dates are 1471 ± 1 and 1468 ± 1 Ma, slightly younger than (but within error of) the ~1474 to ~1473 Ma U-Pb zircon ages of the host rhyolites. Dating of apatite and monazite inclusions within apatite provides evidence for at least one younger metasomatic event at ~1.44 Ga, and possibly multiple superimposed metasomatic events between 1.47 and 1.44 Ga. Lead isotop analyses of pyrite show extremely radiogenic<span>&nbsp;</span></span><sup>206</sup><span>Pb/</span><sup>204</sup><span>Pb ratios up to ~80 unsupported by in situ U decay. This excess radiogenic Pb in pyrite may have been derived from the spatially associated apatite as apatite recrystallized several tens of million years after its formation. The low initial<span>&nbsp;</span></span><sup>206</sup><span>Pb/</span><sup>204</sup><span>Pb ratio of ~16.5 and<span>&nbsp;</span></span><sup>207</sup><span>Pb/</span><sup>204</sup><span>Pb ratio of ~15.4 for individual magnetite grains indicate closed U-Pb system behavior in this mineral and are consistent with derivation of the Pb from a mantle-like source.</span></p>","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.111.8.1915","usgsCitation":"Neymark, L., Holm-Denoma, C.S., Pietruszka, A., Aleinikoff, J.N., Fanning, C.M., Pillers, R.M., and Moscati, R.J., 2016, High spatial resolution U-Pb geochronology and Pb isotope geochemistry of magnetite-apatite ore from the Pea Ridge iron oxide-apatite deposit, St. Francois Mountains, southeast Missouri, USA: Economic Geology, v. 111, no. 8, p. 1915-1933, https://doi.org/10.2113/econgeo.111.8.1915.","productDescription":"19 p.","startPage":"1915","endPage":"1933","ipdsId":"IP-069655","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":343411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"St. Francois Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91,\n              37\n            ],\n            [\n              -90,\n              37\n            ],\n            [\n              -90,\n              38\n            ],\n            [\n              -91,\n              38\n            ],\n            [\n              -91,\n              37\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"111","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-16","publicationStatus":"PW","scienceBaseUri":"595f4c3de4b0d1f9f057e33e","contributors":{"authors":[{"text":"Neymark, Leonid A. 0000-0003-4190-0278 lneymark@usgs.gov","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":140338,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid A.","email":"lneymark@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":703721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440 cholm-denoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":2442,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher","email":"cholm-denoma@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":703722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pietruszka, Aaron 0000-0002-2826-9509 apietruszka@usgs.gov","orcid":"https://orcid.org/0000-0002-2826-9509","contributorId":192031,"corporation":false,"usgs":true,"family":"Pietruszka","given":"Aaron","email":"apietruszka@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":703723,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":703724,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fanning, C. Mark","contributorId":193428,"corporation":false,"usgs":false,"family":"Fanning","given":"C.","email":"","middleInitial":"Mark","affiliations":[],"preferred":false,"id":703725,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pillers, Renee M. 0000-0003-4929-1569 rpillers@usgs.gov","orcid":"https://orcid.org/0000-0003-4929-1569","contributorId":2501,"corporation":false,"usgs":true,"family":"Pillers","given":"Renee","email":"rpillers@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":703726,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moscati, Richard J. 0000-0002-0818-4401 rmoscati@usgs.gov","orcid":"https://orcid.org/0000-0002-0818-4401","contributorId":2462,"corporation":false,"usgs":true,"family":"Moscati","given":"Richard","email":"rmoscati@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":703727,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70192619,"text":"70192619 - 2016 - Movement reveals scale dependence in habitat selection of a large ungulate","interactions":[],"lastModifiedDate":"2022-11-02T13:36:25.884345","indexId":"70192619","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Movement reveals scale dependence in habitat selection of a large ungulate","docAbstract":"<p><span>Ecological processes operate across temporal and spatial scales. Anthropogenic disturbances impact these processes, but examinations of scale dependence in impacts are infrequent. Such examinations can provide important insight to wildlife–human interactions and guide management efforts to reduce impacts. We assessed spatiotemporal scale dependence in habitat selection of mule deer (</span><i>Odocoileus hemionus</i><span>) in the Piceance Basin of Colorado, USA, an area of ongoing natural gas development. We employed a newly developed animal movement method to assess habitat selection across scales defined using animal-centric spatiotemporal definitions ranging from the local (defined from five hour movements) to the broad (defined from weekly movements). We extended our analysis to examine variation in scale dependence between night and day and assess functional responses in habitat selection patterns relative to the density of anthropogenic features. Mule deer displayed scale invariance in the direction of their response to energy development features, avoiding well pads and the areas closest to roads at all scales, though with increasing strength of avoidance at coarser scales. Deer displayed scale-dependent responses to most other habitat features, including land cover type and habitat edges. Selection differed between night and day at the finest scales, but homogenized as scale increased. Deer displayed functional responses to development, with deer inhabiting the least developed ranges more strongly avoiding development relative to those with more development in their ranges. Energy development was a primary driver of habitat selection patterns in mule deer, structuring their behaviors across all scales examined. Stronger avoidance at coarser scales suggests that deer behaviorally mediated their interaction with development, but only to a degree. At higher development densities than seen in this area, such mediation may not be possible and thus maintenance of sufficient habitat with lower development densities will be a critical best management practice as development expands globally.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1403","usgsCitation":"Northrup, J., Anderson, C.R., Hooten, M., and Wittemyer, G., 2016, Movement reveals scale dependence in habitat selection of a large ungulate: Ecological Applications, v. 26, no. 8, p. 2746-2757, https://doi.org/10.1002/eap.1403.","productDescription":"12 p.","startPage":"2746","endPage":"2757","ipdsId":"IP-066763","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470449,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.1403","text":"Publisher Index Page"},{"id":348419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Piceance Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.52510565398121,\n              40.11047859854719\n            ],\n            [\n              -108.52510565398121,\n              39.80142015123076\n            ],\n            [\n              -108.16288297550692,\n              39.80142015123076\n            ],\n            [\n              -108.16288297550692,\n              40.11047859854719\n            ],\n            [\n              -108.52510565398121,\n              40.11047859854719\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"26","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-10","publicationStatus":"PW","scienceBaseUri":"5a0425bee4b0dc0b45b453da","contributors":{"authors":[{"text":"Northrup, Joseph","contributorId":198620,"corporation":false,"usgs":false,"family":"Northrup","given":"Joseph","affiliations":[],"preferred":false,"id":716566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Charles R. Jr.","contributorId":75042,"corporation":false,"usgs":true,"family":"Anderson","given":"Charles","suffix":"Jr.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":716567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":716565,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wittemyer, George","contributorId":198621,"corporation":false,"usgs":false,"family":"Wittemyer","given":"George","email":"","affiliations":[],"preferred":false,"id":716568,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192492,"text":"70192492 - 2016 - Satellite-derived temperature data for monitoring water status in a floodplain forest of the Upper Sabine River, Texas","interactions":[],"lastModifiedDate":"2017-10-26T12:23:04","indexId":"70192492","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Satellite-derived temperature data for monitoring water status in a floodplain forest of the Upper Sabine River, Texas","docAbstract":"<p><span>Decreased water availability due to hydrologic modifications, groundwater withdrawal, and climate change threaten bottomland hardwood (BLH) forest communities. We used satellite-derived (MODIS) land-surface temperature (LST) data to investigate spatial heterogeneity of canopy temperature (an indicator of plant-water status) in a floodplain forest of the upper Sabine River for 2008–2014. High LST pixels were generally further from the river and at higher topographic locations, indicating lower water-availability. Increasing rainfall-derived soil moisture corresponded with decreased heterogeneity of LST between pixels but there was weaker association between Sabine River stage and heterogeneity. Stronger dependence of LST convergence on rainfall rather than river flow suggests that some regions are less hydrologically connected to the river, and vegetation may rely on local precipitation and other contributions to the riparian aquifer to replenish soil moisture. Observed LST variations associated with hydrology encourage further investigation of the utility of this approach for monitoring forest stress, especially with considerations of climate change and continued river management.</span></p>","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.015.0sp911","usgsCitation":"Lemon, M.G., Allen, S.T., Edwards, B., King, S.L., and Keim, R., 2016, Satellite-derived temperature data for monitoring water status in a floodplain forest of the Upper Sabine River, Texas: Southeastern Naturalist, v. 15, no. sp9, p. 90-102, https://doi.org/10.1656/058.015.0sp911.","productDescription":"13 p.","startPage":"90","endPage":"102","ipdsId":"IP-066074","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":347463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Upper Sabine River","volume":"15","issue":"sp9","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e98de4b09af898c8cc2c","contributors":{"authors":[{"text":"Lemon, Mary Grace T.","contributorId":198501,"corporation":false,"usgs":false,"family":"Lemon","given":"Mary","email":"","middleInitial":"Grace T.","affiliations":[],"preferred":false,"id":716258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Scott T.","contributorId":168409,"corporation":false,"usgs":false,"family":"Allen","given":"Scott","email":"","middleInitial":"T.","affiliations":[{"id":25282,"text":"School of Renewable Natural Resources, Louisiana State University, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":716259,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, Brandon L.","contributorId":35231,"corporation":false,"usgs":true,"family":"Edwards","given":"Brandon L.","affiliations":[],"preferred":false,"id":716260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keim, Richard F.","contributorId":21858,"corporation":false,"usgs":true,"family":"Keim","given":"Richard F.","affiliations":[],"preferred":false,"id":716261,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192566,"text":"70192566 - 2016 - Statistically extracted fundamental watershed variables for estimating the loads of total nitrogen in small streams","interactions":[],"lastModifiedDate":"2017-10-26T14:43:51","indexId":"70192566","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1550,"text":"Environmental Modeling & Assessment","onlineIssn":" 1573-296","printIssn":"1420-2026","active":true,"publicationSubtype":{"id":10}},"title":"Statistically extracted fundamental watershed variables for estimating the loads of total nitrogen in small streams","docAbstract":"<p>Accurate estimation of total nitrogen loads is essential for evaluating conditions in the aquatic environment. Extrapolation of estimates beyond measured streams will greatly expand our understanding of total nitrogen loading to streams. Recursive partitioning and random forest regression were used to assess 85 geospatial, environmental, and watershed variables across 636 small (&lt;585&nbsp;km<sup>2</sup>) watersheds to determine which variables are fundamentally important to the estimation of annual loads of total nitrogen. Initial analysis led to the splitting of watersheds into three groups based on predominant land use (agricultural, developed, and undeveloped). Nitrogen application, agricultural and developed land area, and impervious or developed land in the 100-m stream buffer were commonly extracted variables by both recursive partitioning and random forest regression. A series of multiple linear regression equations utilizing the extracted variables were created and applied to the watersheds. As few as three variables explained as much as 76&nbsp;% of the variability in total nitrogen loads for watersheds with predominantly agricultural land use. Catchment-scale national maps were generated to visualize the total nitrogen loads and yields across the USA. The estimates provided by these models can inform water managers and help identify areas where more in-depth monitoring may be beneficial.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10666-016-9525-3","usgsCitation":"Kronholm, S.C., Capel, P.D., and Terziotti, S., 2016, Statistically extracted fundamental watershed variables for estimating the loads of total nitrogen in small streams: Environmental Modeling & Assessment, v. 21, no. 6, p. 681-690, https://doi.org/10.1007/s10666-016-9525-3.","productDescription":"10 p.","startPage":"681","endPage":"690","ipdsId":"IP-076954","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":438501,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7TX3CGB","text":"USGS data release","linkHelpText":"Data on annual total nitrogen loads and watershed characteristics used to develop a method to estimate the total nitrogen loads in small streams"},{"id":347496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-26","publicationStatus":"PW","scienceBaseUri":"5a07e98de4b09af898c8cc26","contributors":{"authors":[{"text":"Kronholm, Scott C.","contributorId":184190,"corporation":false,"usgs":false,"family":"Kronholm","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":716220,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Capel, Paul D. 0000-0003-1620-5185 capel@usgs.gov","orcid":"https://orcid.org/0000-0003-1620-5185","contributorId":1002,"corporation":false,"usgs":true,"family":"Capel","given":"Paul","email":"capel@usgs.gov","middleInitial":"D.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":716219,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terziotti, Silvia 0000-0003-3559-5844 seterzio@usgs.gov","orcid":"https://orcid.org/0000-0003-3559-5844","contributorId":1613,"corporation":false,"usgs":true,"family":"Terziotti","given":"Silvia","email":"seterzio@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":716221,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191453,"text":"70191453 - 2016 - Reinforcement and validation of the analyses and conclusions related to fishway evaluation data from Bunt et al.: ‘Performance of fish passage structures at upstream barriers to migration’","interactions":[],"lastModifiedDate":"2017-10-13T12:46:21","indexId":"70191453","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Reinforcement and validation of the analyses and conclusions related to fishway evaluation data from Bunt et al.: ‘Performance of fish passage structures at upstream barriers to migration’","docAbstract":"<p><span>Detailed re-examination of the datasets that were used for a meta-analysis of fishway attraction and passage revealed a number of errors that we addressed and corrected. We subsequently re-analysed the revised dataset, and results showed no significant changes in the primary conclusions of the original study; for most species, effective performance cannot be assured for any fishway type.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3095","usgsCitation":"Bunt, C., Castro-Santos, T.R., and Haro, A., 2016, Reinforcement and validation of the analyses and conclusions related to fishway evaluation data from Bunt et al.: ‘Performance of fish passage structures at upstream barriers to migration’: River Research and Applications, v. 32, no. 10, p. 2125-2137, https://doi.org/10.1002/rra.3095.","productDescription":"13 p.","startPage":"2125","endPage":"2137","ipdsId":"IP-078011","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":346592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"10","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-29","publicationStatus":"PW","scienceBaseUri":"59e1d099e4b05fe04cd117b9","contributors":{"authors":[{"text":"Bunt, C.M.","contributorId":96976,"corporation":false,"usgs":true,"family":"Bunt","given":"C.M.","affiliations":[],"preferred":false,"id":712412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haro, Alexander 0000-0002-7188-9172 aharo@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-9172","contributorId":139198,"corporation":false,"usgs":true,"family":"Haro","given":"Alexander","email":"aharo@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712413,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70182203,"text":"70182203 - 2016 - Historical reconstructions of California wildfires vary by data source","interactions":[],"lastModifiedDate":"2017-02-21T10:35:06","indexId":"70182203","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Historical reconstructions of California wildfires vary by data source","docAbstract":"<p><span>Historical data are essential for understanding how fire activity responds to different drivers. It is important that the source of data is commensurate with the spatial and temporal scale of the question addressed, but fire history databases are derived from different sources with different restrictions. In California, a frequently used fire history dataset is the State of California Fire and Resource Assessment Program (FRAP) fire history database, which circumscribes fire perimeters at a relatively fine scale. It includes large fires on both state and federal lands but only covers fires that were mapped or had other spatially explicit data. A different database is the state and federal governments’ annual reports of all fires. They are more complete than the FRAP database but are only spatially explicit to the level of county (California Department of Forestry and Fire Protection – Cal Fire) or forest (United States Forest Service – USFS). We found substantial differences between the FRAP database and the annual summaries, with the largest and most consistent discrepancy being in fire frequency. The FRAP database missed the majority of fires and is thus a poor indicator of fire frequency or indicators of ignition sources. The FRAP database is also deficient in area burned, especially before 1950. Even in contemporary records, the huge number of smaller fires not included in the FRAP database account for substantial cumulative differences in area burned. Wildfires in California account for nearly half of the western United States fire suppression budget. Therefore, the conclusions about data discrepancies and the implications for fire research are of broad importance.</span></p>","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WF16050","usgsCitation":"Syphard, A.D., and Keeley, J.E., 2016, Historical reconstructions of California wildfires vary by data source: International Journal of Wildland Fire, v. 25, p. 1221-1227, https://doi.org/10.1071/WF16050.","productDescription":"7 p.","startPage":"1221","endPage":"1227","ipdsId":"IP-070536","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":335863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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