{"pageNumber":"1028","pageRowStart":"25675","pageSize":"25","recordCount":184689,"records":[{"id":70188888,"text":"70188888 - 2017 - Tectonic evolution","interactions":[],"lastModifiedDate":"2018-05-21T14:21:47","indexId":"70188888","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Tectonic evolution","docAbstract":"The middle Paleozoic through Present tectonic evolution of the Northern Cordillera is portrayed in a series of 15 Tectonic Model figures. These figures depict the successive stages of formation and accretion of orogenic collages along the western margin of the North American Plate (craton and craton margin) and adjacent marine areas. The orogenic collages are composed of terranes and overlap assemblages. The terranes are tectonic (fault-bounded) fragments of island arcs and continental-margin arcs, subduction-zones, oceanic lithosphere, craton margins, and cratons. The overlap assemblages are sequences of mainly late Mesozoic and Cenozoic continental-margin-arc and sedimentary-basin assemblages that were deposited on subjacent terranes and on subjacent craton margin assemblages, following their tectonic assembly.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Dynamic geology of the Northern Cordillera (Alaska and Western Canada) and adjacent marine areas: Tectonics, hazards, and resources","language":"English","publisher":"University of Alaska, Fairbanks","usgsCitation":"Nokleberg, W.J., Monger, J.W., Stone, D.B., Bundtzen, T.K., and Scholl, D.W., 2017, Tectonic evolution, chap. <i>of</i> Dynamic geology of the Northern Cordillera (Alaska and Western Canada) and adjacent marine areas: Tectonics, hazards, and resources, E-Book.","productDescription":"E-Book","ipdsId":"IP-072754","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":352486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352437,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/11122/7994"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8f8e4b0da30c1bfc4fc","contributors":{"authors":[{"text":"Nokleberg, Warren J. 0000-0002-1574-8869 wnokleberg@usgs.gov","orcid":"https://orcid.org/0000-0002-1574-8869","contributorId":2077,"corporation":false,"usgs":true,"family":"Nokleberg","given":"Warren","email":"wnokleberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monger, James W.H.","contributorId":193571,"corporation":false,"usgs":false,"family":"Monger","given":"James","email":"","middleInitial":"W.H.","affiliations":[],"preferred":false,"id":700839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, David B.","contributorId":193572,"corporation":false,"usgs":false,"family":"Stone","given":"David","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":700840,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bundtzen, Thomas K.","contributorId":192968,"corporation":false,"usgs":false,"family":"Bundtzen","given":"Thomas","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":700841,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scholl, David W. 0000-0001-6500-6962 dscholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6500-6962","contributorId":3738,"corporation":false,"usgs":true,"family":"Scholl","given":"David","email":"dscholl@usgs.gov","middleInitial":"W.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":700842,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70179816,"text":"70179816 - 2017 - Riparian soil development linked to forest succession above and below dams along the Elwha River, Washington, USA","interactions":[],"lastModifiedDate":"2017-12-05T10:26:47","indexId":"70179816","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Riparian soil development linked to forest succession above and below dams along the Elwha River, Washington, USA","docAbstract":"Riparian forest soils can be highly dynamic, due to frequent fluvial disturbance, erosion, and sediment deposition, but effects of dams on riparian soils are poorly understood. We examined soils along toposequences within three river segments located upstream, between, and downstream of two dams on the Elwha River to evaluate relationships between riparian soil development and forest age, succession, and channel proximity, explore dam effects on riparian soils, and provide a baseline for the largest dam removal in history. We found that older, later-successional forests and geomorphic surfaces contained soils with finer texture and greater depth to cobble, supporting greater forest floor mass, mineral soil nutrient levels, and cation exchange. Forest stand age was a better predictor than channel proximity for many soil characteristics, though elevation and distance from the channel were often also important, highlighting how complex interactions between fluvial disturbance, sediment deposition, and biotic retention regulate soil development in this ecosystem. Soils between the dams, and to a lesser extent below the lower dam, had finer textures and higher mineral soil carbon, nitrogen, and cation exchange than above the dams. These results suggested that decreased fluvial disturbance below the dams, due to reduced sediment supply and channel stabilization, accelerated soil development. In addition, reduced sediment supply below the dams may have decreased soil phosphorus. Soil δ15N suggested that salmon exclusion by the dams had no discernable effect on nitrogen inputs to upstream soils. Recent dam removal may alter riparian soils further, with ongoing implications for riparian ecosystems.","language":"English","publisher":"Springer","doi":"10.1007/s10021-016-0080-1","usgsCitation":"Perry, L.G., Shafroth, P.B., and Perakis, S.S., 2017, Riparian soil development linked to forest succession above and below dams along the Elwha River, Washington, USA: Ecosystems, v. 20, no. 1, p. 104-129, https://doi.org/10.1007/s10021-016-0080-1.","productDescription":"26 p. ","startPage":"104","endPage":"129","ipdsId":"IP-073631","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":333422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Elwa River ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.57421875,\n              48.14134883691423\n            ],\n            [\n              -123.56460571289061,\n              48.12485115686402\n            ],\n            [\n              -123.58245849609375,\n              48.068444087227775\n            ],\n            [\n              -123.60099792480469,\n              48.03769224746972\n            ],\n            [\n              -123.61061096191405,\n              48.00003067321041\n            ],\n            [\n              -123.61473083496094,\n              47.984866421810175\n            ],\n            [\n              -123.49250793457031,\n              47.891024843906955\n            ],\n            [\n              -123.47602844238281,\n              47.86200993068552\n            ],\n            [\n              -123.47602844238281,\n              47.819148694192286\n            ],\n            [\n              -123.46572875976561,\n              47.77625204393233\n            ],\n            [\n              -123.46916198730467,\n              47.7619452898863\n            ],\n            [\n              -123.4423828125,\n              47.762406859510556\n            ],\n            [\n              -123.43276977539062,\n              47.821915003877976\n            ],\n            [\n              -123.47602844238281,\n              47.92278444035086\n            ],\n            [\n              -123.57147216796875,\n              47.979810681056705\n            ],\n            [\n              -123.57284545898438,\n              48.05743061384011\n            ],\n            [\n              -123.54263305664062,\n              48.10559716402152\n            ],\n            [\n              -123.55430603027344,\n              48.150970035875766\n            ],\n            [\n              -123.56941223144531,\n              48.14959568930188\n            ],\n            [\n              -123.57284545898438,\n              48.145472428740135\n            ],\n            [\n              -123.57421875,\n              48.14134883691423\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"20","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-17","publicationStatus":"PW","scienceBaseUri":"5881ded5e4b01192927d9f7d","contributors":{"authors":[{"text":"Perry, Laura G","contributorId":177873,"corporation":false,"usgs":false,"family":"Perry","given":"Laura","email":"","middleInitial":"G","affiliations":[],"preferred":false,"id":658813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":658811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":658812,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193025,"text":"70193025 - 2017 - Hydrochemical determination of source water contributions to Lake Lungo and Lake Ripasottile (central Italy)","interactions":[],"lastModifiedDate":"2017-11-12T11:35:55","indexId":"70193025","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5530,"text":"Journal of Limnology","onlineIssn":"1723-8633","active":true,"publicationSubtype":{"id":10}},"title":"Hydrochemical determination of source water contributions to Lake Lungo and Lake Ripasottile (central Italy)","docAbstract":"Lake Lungo and Lake Ripasottile are two shallow (4-5 m) lakes located in the Rieti Basin, central Italy, that have been described previously as surface outcroppings of the groundwater table. In this work, the two lakes as well as springs and rivers that represent their potential source waters are characterized physio-chemically and isotopically, using a combination of environmental tracers. Temperature and pH were measured and water samples were analyzed for alkalinity, major ion concentration, and stable isotope (δ2H, δ18O, δ13C of dissolved inorganic carbon, and δ34S and δ18O of sulfate) composition. Chemical data were also investigated in terms of local meteorological data (air temperature, precipitation) to determine the sensitivity of lake parameters to changes in the surrounding environment. Groundwater represented by samples taken from Santa Susanna Spring was shown to be distinct with SO42- and Mg2+ content of 270 and 29 mg/L, respectively, and heavy sulfate isotopic composition(δ34S=15.2 ‰ and δ18O=10‰). Outflow from the Santa Susanna Spring enters Lake Ripasottile via a canal and both spring and lake water exhibits the same chemical distinctions and comparatively low seasonal variability. Major ion concentrations in Lake Lungo are similar to the Vicenna Riara Spring and are interpreted to represent the groundwater locally recharged within the plain. The δ13CDIC exhibit the same groupings as the other chemical parameters, providing supporting evidence of the source relationships. Lake Lungo exhibited exceptional ranges of δ13CDIC (±5 ‰) and δ2H, δ18O (±5 ‰ and ±7 ‰, respectively), attributed to sensitivity to seasonal changes. The hydrochemistry results, particularly major ion data, highlight how the two lakes, though geographically and morphologically similar, represent distinct hydrochemical facies. These data also show a different response in each lake to temperature and precipitation patterns in the basin that may be attributed to lake water retention time. The sensitivity of each lake to meteorological patterns can be used to understand the potential effects from long-term climate variability.","language":"English","publisher":"PAGEPress Scientific Publications","publisherLocation":"Pavia, Italy","doi":"10.4081/jlimnol.2016.1576","usgsCitation":"Archer, C., Noble, P., Kreamer, D., Piscopo, V., Petitta, M., Rosen, M.R., Poulson, S.R., Piovesan, G., and Mensing, S., 2017, Hydrochemical determination of source water contributions to Lake Lungo and Lake Ripasottile (central Italy): Journal of Limnology, v. 76, no. 2, p. 326-342, https://doi.org/10.4081/jlimnol.2016.1576.","productDescription":"17 p.","startPage":"326","endPage":"342","ipdsId":"IP-079585","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":470178,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4081/jlimnol.2016.1576","text":"Publisher Index Page"},{"id":348621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Lake Lungo, Lake Ripasottile","volume":"76","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-21","publicationStatus":"PW","scienceBaseUri":"5a096bb1e4b09af898c94149","contributors":{"authors":[{"text":"Archer, Claire","contributorId":198952,"corporation":false,"usgs":false,"family":"Archer","given":"Claire","email":"","affiliations":[{"id":33648,"text":"Department of Geological Sciences and Engineering, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":717688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noble, Paula","contributorId":198953,"corporation":false,"usgs":false,"family":"Noble","given":"Paula","affiliations":[{"id":33648,"text":"Department of Geological Sciences and Engineering, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":717689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kreamer, David","contributorId":198954,"corporation":false,"usgs":false,"family":"Kreamer","given":"David","email":"","affiliations":[{"id":30777,"text":"Department of Geoscience, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":717690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Piscopo, Vincenzo","contributorId":198955,"corporation":false,"usgs":false,"family":"Piscopo","given":"Vincenzo","email":"","affiliations":[{"id":35390,"text":"Tuscia University","active":true,"usgs":false}],"preferred":false,"id":717691,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Petitta, Marco","contributorId":198956,"corporation":false,"usgs":false,"family":"Petitta","given":"Marco","email":"","affiliations":[{"id":35391,"text":"Sapienza University of Rome","active":true,"usgs":false}],"preferred":false,"id":717692,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717687,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poulson, Simon R.","contributorId":187411,"corporation":false,"usgs":false,"family":"Poulson","given":"Simon","email":"","middleInitial":"R.","affiliations":[{"id":33648,"text":"Department of Geological Sciences and Engineering, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":717693,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Piovesan, Gianluca","contributorId":198957,"corporation":false,"usgs":false,"family":"Piovesan","given":"Gianluca","email":"","affiliations":[{"id":35390,"text":"Tuscia University","active":true,"usgs":false}],"preferred":false,"id":717694,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mensing, Scott","contributorId":198958,"corporation":false,"usgs":false,"family":"Mensing","given":"Scott","affiliations":[{"id":33212,"text":"Department of Geography, University of NV","active":true,"usgs":false}],"preferred":false,"id":717695,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70193575,"text":"70193575 - 2017 - High-elevation observations of Long-tailed Weasel and Eastern Chipmunk in North Carolina","interactions":[],"lastModifiedDate":"2020-12-17T17:23:37.196426","indexId":"70193575","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","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":"High-elevation observations of Long-tailed Weasel and Eastern Chipmunk in North Carolina","docAbstract":"<p><span>Observations of&nbsp;</span><i>Mustela frenata</i><span>&nbsp;(Long-tailed Weasel) are rare within the southern Appalachians, while observations of&nbsp;</span><i>Tamias striatus</i><span>&nbsp;(Eastern Chipmunk) are uncommon in high-elevation spruce-fir forests. We conducted camera-trap surveys at Roan Mountain Highlands, Mitchell County, NC, during summer 2016 in a&nbsp;</span><i>Picea rubens</i><span>&nbsp;(Red Spruce)—</span><i>Abies</i><span>&nbsp;</span><i>fraseri</i><span>&nbsp;(Fraser Fir) forest. During the survey, we observed a Long-tailed Weasel at 1893 m in elevation and an Eastern Chipmunk at 1703 m in elevation. These are the highest-elevation records for both species in the eastern United States outside of Great Smoky Mountains National Park, and the highest elevation record for Longtailed Weasel in North Carolina.</span></p>","language":"English","publisher":"Eagle Hill Publications","doi":"10.1656/058.016.0321","usgsCitation":"Moser, A.M., Diggins, C.A., and Ford, W., 2017, High-elevation observations of Long-tailed Weasel and Eastern Chipmunk in North Carolina: Southeastern Naturalist, v. 16, no. 3, p. N40-N42, https://doi.org/10.1656/058.016.0321.","productDescription":"3 p.","startPage":"N40","endPage":"N42","ipdsId":"IP-083316","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348743,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North 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Carolina\",\"nation\":\"USA  \"}}]}","volume":"16","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc3de4b06e28e9c23bf3","contributors":{"authors":[{"text":"Moser, Allison M.","contributorId":200319,"corporation":false,"usgs":false,"family":"Moser","given":"Allison","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diggins, Corinne A.","contributorId":171667,"corporation":false,"usgs":false,"family":"Diggins","given":"Corinne","email":"","middleInitial":"A.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":721902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":719416,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193622,"text":"70193622 - 2017 - An evaluation and comparison of conservation guidelines for an at-risk migratory songbird","interactions":[],"lastModifiedDate":"2017-11-29T15:59:01","indexId":"70193622","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation and comparison of conservation guidelines for an at-risk migratory songbird","docAbstract":"<p>For at-risk wildlife species, it is important to consider conservation within the process of adaptive management. Golden-winged Warblers (Vermivora chrysoptera) are Neotropical migratory songbirds that are experiencing long-term population declines due in part to the loss of early-successional nesting habitat. Recently-developed Golden-winged Warbler habitat management guidelines are being implemented by USDA: Natural Resource Conservation Service (2014) and its partners through the Working Lands For Wildlife (WLFW) program. During 2012–2014, we studied the nesting ecology of Golden-winged Warblers in managed habitats of the eastern US that conformed to WLFW conservation practices. We evaluated five NRCS “management scenarios” with respect to nesting success and attainment of recommended nest site vegetation conditions outlined in the Golden-winged Warbler breeding habitat guidelines. Using estimates of territory density, pairing rate, nest survival, and clutch size, we also estimated fledgling productivity (number of fledglings/ha) for each management scenario. In general, Golden-winged Warbler nest survival declined as each breeding season advanced, but nest survival was similar across management scenarios. Within each management scenario, vegetation variables had little influence on nest survival. Still, percent Rubus cover and density of &gt;2 m tall shrubs were relevant in some management scenarios. All five management scenarios rarely attained recommended levels of nest site vegetation conditions for Golden-winged, yet nest survival was high. Fledgling productivity estimates for each management scenario ranged from 2.1 to 8.6 fledglings/10 hectares. Our results indicate that targeted habitat management for Golden-winged Warblers using a variety of management techniques on private lands has the capability to yield high nest survival and fledgling productivity, and thus have the potential to contribute to the species recovery.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2016.12.006","usgsCitation":"McNeil, D.J., Aldinger, K.R., Bakermans, M.H., Lehman, J.A., Tisdale, A.C., Jones, J.A., Wood, P.B., Buehler, D.A., Smalling, C.G., Siefferman, L., and Larkin, J.L., 2017, An evaluation and comparison of conservation guidelines for an at-risk migratory songbird: Global Ecology and Conservation, v. 9, p. 90-103, https://doi.org/10.1016/j.gecco.2016.12.006.","productDescription":"14 p.","startPage":"90","endPage":"103","ipdsId":"IP-082152","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470177,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2016.12.006","text":"Publisher Index Page"},{"id":348726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.58349609375,\n              34.994003757575776\n            ],\n            [\n              -74.59716796875,\n              34.994003757575776\n            ],\n            [\n              -74.59716796875,\n              41.75492216766298\n            ],\n            [\n              -85.58349609375,\n              41.75492216766298\n            ],\n            [\n              -85.58349609375,\n              34.994003757575776\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc3de4b06e28e9c23bf0","contributors":{"authors":[{"text":"McNeil, Darin J. Jr.","contributorId":37620,"corporation":false,"usgs":false,"family":"McNeil","given":"Darin","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":721863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldinger, Kyle R.","contributorId":171892,"corporation":false,"usgs":false,"family":"Aldinger","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false},{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":721864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bakermans, Marja H.","contributorId":169752,"corporation":false,"usgs":false,"family":"Bakermans","given":"Marja","email":"","middleInitial":"H.","affiliations":[{"id":33354,"text":"Worcester Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":721865,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lehman, Justin A.","contributorId":166944,"corporation":false,"usgs":false,"family":"Lehman","given":"Justin","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":721866,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tisdale, Anna C.","contributorId":200309,"corporation":false,"usgs":false,"family":"Tisdale","given":"Anna","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":721867,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, John A.","contributorId":200310,"corporation":false,"usgs":false,"family":"Jones","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":721868,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wood, Petra B. 0000-0002-8575-1705 pbwood@usgs.gov","orcid":"https://orcid.org/0000-0002-8575-1705","contributorId":199090,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719657,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Buehler, David A.","contributorId":176238,"corporation":false,"usgs":false,"family":"Buehler","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":721869,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smalling, Curtis G.","contributorId":191724,"corporation":false,"usgs":false,"family":"Smalling","given":"Curtis","email":"","middleInitial":"G.","affiliations":[{"id":33352,"text":"Audubon North Carolina","active":true,"usgs":false}],"preferred":false,"id":721870,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Siefferman, Lynn","contributorId":200311,"corporation":false,"usgs":false,"family":"Siefferman","given":"Lynn","email":"","affiliations":[],"preferred":false,"id":721871,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Larkin, Jeffrey L.","contributorId":169747,"corporation":false,"usgs":false,"family":"Larkin","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[{"id":17929,"text":"American Bird Conservancy","active":true,"usgs":false},{"id":34542,"text":"Department of Biology. Indiana University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":721872,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70191836,"text":"70191836 - 2017 - Reexamination of the magnitudes for the 1906 and 1922 Chilean earthquakes using Japanese tsunami amplitudes: Implications for source depth constraints","interactions":[],"lastModifiedDate":"2017-10-18T14:32:17","indexId":"70191836","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Reexamination of the magnitudes for the 1906 and 1922 Chilean earthquakes using Japanese tsunami amplitudes: Implications for source depth constraints","docAbstract":"<p><span>Far-field tsunami records from the Japanese tide gauge network allow the reexamination of the moment magnitudes (</span><i>M<sub>w</sub></i><span>) for the 1906 and 1922 Chilean earthquakes, which to date rely on limited information mainly from seismological observations alone. Tide gauges along the Japanese coast provide extensive records of tsunamis triggered by six great (</span><i>M<sub>w</sub></i><span><span>&nbsp;</span>&gt;8) Chilean earthquakes with instrumentally determined moment magnitudes. These tsunami records are used to explore the dependence of tsunami amplitudes in Japan on the parent earthquake magnitude of Chilean origin. Using the resulting regression parameters together with tide gauge amplitudes measured in Japan we estimate apparent moment magnitudes of<span>&nbsp;</span></span><i>M<sub>w</sub></i><span><span>&nbsp;</span>8.0–8.2 and<span>&nbsp;</span></span><i>M<sub>w</sub></i><span>8.5–8.6 for the 1906 central and 1922 north-central Chile earthquakes. The large discrepancy of the 1906 magnitude estimated from the tsunami observed in Japan as compared with those previously determined from seismic waves (</span><i>M<sub>s</sub></i><span><span>&nbsp;</span>8.4) suggests a deeper than average source with reduced tsunami excitation. A deep dislocation along the Chilean megathrust would favor uplift of the coast rather than beneath the sea, giving rise to a smaller tsunami and producing effects consistent with those observed in 1906. The 1922 magnitude inferred from far-field tsunami amplitudes appear to better explain the large extent of damage and the destructive tsunami that were locally observed following the earthquake than the lower seismic magnitudes (</span><i>M<sub>s</sub></i><span><span>&nbsp;</span>8.3) that were likely affected by the well-known saturation effects. Thus, a repeat of the large 1922 earthquake poses seismic and tsunami hazards in a region identified as a mature seismic gap.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2016JB013269","usgsCitation":"Carvajal, M., Cisternas, M., Gubler, A., Catalan, P.A., Winckler, P., and Wesson, R.L., 2017, Reexamination of the magnitudes for the 1906 and 1922 Chilean earthquakes using Japanese tsunami amplitudes: Implications for source depth constraints: Journal of Geophysical Research B: Solid Earth, v. 122, no. 1, p. 4-17, https://doi.org/10.1002/2016JB013269.","productDescription":"14 p.","startPage":"4","endPage":"17","ipdsId":"IP-083322","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470246,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jb013269","text":"Publisher Index Page"},{"id":346884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-09","publicationStatus":"PW","scienceBaseUri":"59e86838e4b05fe04cd4d20e","contributors":{"authors":[{"text":"Carvajal, M.","contributorId":197359,"corporation":false,"usgs":false,"family":"Carvajal","given":"M.","email":"","affiliations":[],"preferred":false,"id":713300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cisternas, M.","contributorId":193403,"corporation":false,"usgs":false,"family":"Cisternas","given":"M.","email":"","affiliations":[],"preferred":false,"id":713301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gubler, A.","contributorId":197360,"corporation":false,"usgs":false,"family":"Gubler","given":"A.","email":"","affiliations":[],"preferred":false,"id":713302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Catalan, P. A.","contributorId":197361,"corporation":false,"usgs":false,"family":"Catalan","given":"P.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":713303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Winckler, P.","contributorId":197362,"corporation":false,"usgs":false,"family":"Winckler","given":"P.","email":"","affiliations":[],"preferred":false,"id":713304,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wesson, Robert L. 0000-0003-2702-0012 rwesson@usgs.gov","orcid":"https://orcid.org/0000-0003-2702-0012","contributorId":850,"corporation":false,"usgs":true,"family":"Wesson","given":"Robert","email":"rwesson@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":713305,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70191830,"text":"70191830 - 2017 - Extreme geomagnetic storms: Probabilistic forecasts and their uncertainties","interactions":[],"lastModifiedDate":"2017-10-19T13:24:21","indexId":"70191830","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Extreme geomagnetic storms: Probabilistic forecasts and their uncertainties","docAbstract":"<p><span>Extreme space weather events are low-frequency, high-risk phenomena. Estimating their rates of occurrence, as well as their associated uncertainties, is difficult. In this study, we derive statistical estimates and uncertainties for the occurrence rate of an extreme geomagnetic storm on the scale of the Carrington event (or worse) occurring within the next decade. We model the distribution of events as either a power law or lognormal distribution and use (1) Kolmogorov-Smirnov statistic to estimate goodness of fit, (2) bootstrapping to quantify the uncertainty in the estimates, and (3) likelihood ratio tests to assess whether one distribution is preferred over another. Our best estimate for the probability of another extreme geomagnetic event comparable to the Carrington event occurring within the next 10&nbsp;years is 10.3% 95%&nbsp; confidence interval (CI) [0.9,18.7] for a power law distribution but only 3.0% 95%&nbsp;CI [0.6,9.0] for a lognormal distribution. However, our results depend crucially on (1) how we define an extreme event, (2) the statistical model used to describe how the events are distributed in intensity, (3) the techniques used to infer the model parameters, and (4) the data and duration used for the analysis. We test a major assumption that the data represent time stationary processes and discuss the implications. If the current trends persist, suggesting that we are entering a period of lower activity, our forecasts may represent upper limits rather than best estimates.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2016SW001470","usgsCitation":"Riley, P., and Love, J.J., 2017, Extreme geomagnetic storms: Probabilistic forecasts and their uncertainties: Space Weather, v. 15, no. 1, p. 53-64, https://doi.org/10.1002/2016SW001470.","productDescription":"12 p.","startPage":"53","endPage":"64","ipdsId":"IP-081721","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":346971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-10","publicationStatus":"PW","scienceBaseUri":"59e9b996e4b05fe04cd65cba","contributors":{"authors":[{"text":"Riley, Pete","contributorId":145704,"corporation":false,"usgs":false,"family":"Riley","given":"Pete","email":"","affiliations":[{"id":16202,"text":"Predictive Science Inc.","active":true,"usgs":false}],"preferred":false,"id":713249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":713250,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193356,"text":"70193356 - 2017 - Episodic formation of the world-class Waihi epithermal Au-Ag vein system, Hauraki Goldfield, New Zealand","interactions":[],"lastModifiedDate":"2018-02-28T11:53:19","indexId":"70193356","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Episodic formation of the world-class Waihi epithermal Au-Ag vein system, Hauraki Goldfield, New Zealand","docAbstract":"The world-class Waihi vein system in New Zealand has produced more than 248,400 kg Au and 1.43 million kg Ag. New high-precision 40Ar/39Ar dates of adularia from different veins show that some veins formed at different times (6.15 Ma Martha vs. 5.83 and 5.85 Ma Empire and Welcome, respectively), even though they have similar mineralogy. The Martha vein formed over a period of approximately 150,000 years. The Moonlight vein, which has a different ore mineral assemblage, appears to have formed over a longer time interval that spanned formation of the Martha, Welcome, and Empire veins. These dates suggest that some veins in the Waihi vein system formed relatively quickly during only part of the lifetime of the hydrothermal system, whereas other veins may have formed over longer periods of time. However, the Au endowment of the Martha vein exceeds the Au endowment of the Moonlight vein, indicating that the total lifetime of the vein-forming hydrothermal system does not determine metal endowment.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Mineral Resources to Discover - Volume 1, Proceeding of the 14th Biennial SGA Meeting","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"14th Biennial SGA Meeting","conferenceDate":"August 20-23, 2015","language":"English","publisher":"Society for Geology Applied to Mineral Deposits","isbn":"978-2-9816898-0-1","usgsCitation":"Gasston, E., Mauk, J.L., Cosca, M.A., Morgan, L.E., and Hall, C.M., 2017, Episodic formation of the world-class Waihi epithermal Au-Ag vein system, Hauraki Goldfield, New Zealand, <i>in</i> Mineral Resources to Discover - Volume 1, Proceeding of the 14th Biennial SGA Meeting, v. 1, August 20-23, 2015, p. 35-38.","productDescription":"4 p.","startPage":"35","endPage":"38","ipdsId":"IP-086416","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":352129,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4e2","contributors":{"authors":[{"text":"Gasston, Erin","contributorId":199365,"corporation":false,"usgs":false,"family":"Gasston","given":"Erin","email":"","affiliations":[],"preferred":false,"id":718808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mauk, Jeffrey L. 0000-0002-6244-2774 jmauk@usgs.gov","orcid":"https://orcid.org/0000-0002-6244-2774","contributorId":4101,"corporation":false,"usgs":true,"family":"Mauk","given":"Jeffrey","email":"jmauk@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718807,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cosca, Michael A. 0000-0002-0600-7663 mcosca@usgs.gov","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":1000,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","email":"mcosca@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":718809,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718810,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hall, Chris M. 0000-0002-0372-2629","orcid":"https://orcid.org/0000-0002-0372-2629","contributorId":199366,"corporation":false,"usgs":false,"family":"Hall","given":"Chris","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":718811,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192764,"text":"70192764 - 2017 - Fisheries and aquatic resources of Prairie Creek, Redwood National Park","interactions":[],"lastModifiedDate":"2018-01-26T16:18:52","indexId":"70192764","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/REDW/NRR—2017/1492","title":"Fisheries and aquatic resources of Prairie Creek, Redwood National Park","docAbstract":"<p><span>This report synthesizes information on the status of fisheries and aquatic resources in the Prairie Creek sub-basin of Redwood Creek in Humboldt County in northern California, founded on a bibliographic search we conducted of historic and current datasets, unpublished reports, theses, and publications. The compiled Prairie Creek Fisheries Bibliography is available at https://irma.nps.gov/DataStore/. This report describes life histories and population status of the salmonid fishes, and species occurrence of non-salmonid fishes, amphibians, macroinvertebrates, and common benthic algae in Prairie Creek. We assessed habitat conditions that may limit salmonid production in relation to recovery targets established by the National Marine Fisheries Service and the State of California. Although salmon abundance has decreased from historic levels, production of juvenile salmonids in Prairie Creek is relatively stable and robust in comparison with the rest of the Redwood Creek Basin. Carrying capacity likely differs between the undisturbed upper reaches of Prairie Creek and reaches in the lower creek, the latter of which are affected by legacy impacts from timber and agricultural activities. Increased sediment supply and lack of channel structure and floodplain connection in lower Prairie Creek appear to be the greatest stressors to salmonid production. Existing datasets on aquatic resources and environmental variables are listed, and subject areas where few data are available are identified</span><a>.</a></p>","language":"English","publisher":"National Park Service","usgsCitation":"Wilzbach, P., and Ozaki, V., 2017, Fisheries and aquatic resources of Prairie Creek, Redwood National Park: Natural Resource Report NPS/REDW/NRR—2017/1492, ix, 77 p.","productDescription":"ix, 77 p.","numberOfPages":"91","ipdsId":"IP-083912","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":350721,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2243144"},{"id":350722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Prairie Creek, Redwood National and State Parks","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.10018920898438,\n              41.27135580307865\n            ],\n            [\n              -123.94775390625,\n              41.27135580307865\n            ],\n            [\n              -123.94775390625,\n              41.4609964229274\n            ],\n            [\n              -124.10018920898438,\n              41.4609964229274\n            ],\n            [\n              -124.10018920898438,\n              41.27135580307865\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6c4c95e4b06e28e9cabb00","contributors":{"authors":[{"text":"Wilzbach, Peggy 0000-0002-3559-3630 paw7002@usgs.gov","orcid":"https://orcid.org/0000-0002-3559-3630","contributorId":3908,"corporation":false,"usgs":true,"family":"Wilzbach","given":"Peggy","email":"paw7002@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ozaki, Vicki","contributorId":201507,"corporation":false,"usgs":false,"family":"Ozaki","given":"Vicki","email":"","affiliations":[],"preferred":false,"id":726015,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193237,"text":"70193237 - 2017 - Spatial demographic models to inform conservation planning of golden eagles in renewable energy landscapes","interactions":[],"lastModifiedDate":"2017-11-22T17:05:17","indexId":"70193237","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","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":"Spatial demographic models to inform conservation planning of golden eagles in renewable energy landscapes","docAbstract":"<p>Spatial demographic models can help guide monitoring and management activities targeting at-risk species, even in cases where baseline data are lacking. Here, we provide an example of how site-specific changes in land use and anthropogenic stressors can be incorporated into a spatial demographic model to investigate effects on population dynamics of Golden Eagles (<i>Aquila chrysaetos</i>). Our study focused on a population of Golden Eagles exposed to risks associated with rapid increases in renewable energy development in southern California, U.S.A. We developed a spatially explicit, individual-based simulation model that integrated empirical data on demography of Golden Eagles with spatial data on the arrangement of nesting habitats, prey resources, and planned renewable energy development sites. Our model permitted simulated eagles of different stage-classes to disperse, establish home ranges, acquire prey resources, prospect for breeding sites, and reproduce. The distribution of nesting habitats, prey resources, and threats within each individual's home range influenced movement, reproduction, and survival. We used our model to explore potential effects of alternative disturbance scenarios, and proposed conservation strategies, on the future distribution and abundance of Golden Eagles in the study region. Results from our simulations suggest that probable increases in mortality associated with renewable energy infrastructure (e.g., collisions with wind turbines and vehicles, electrocution on power poles) could have negative consequences for population trajectories, but that site-specific conservation actions could reduce the magnitude of negative effects. Our study demonstrates the use of a flexible and expandable modeling framework to incorporate spatially dependent processes when determining relative effects of proposed management options to Golden Eagles and their habitats.</p>","language":"English","publisher":"The Raptor Research Foundation","doi":"10.3356/JRR-16-77.1","usgsCitation":"Wiens, J.D., Schumaker, N.H., Inman, R.D., Esque, T., Longshore, K.M., and Nussear, K.E., 2017, Spatial demographic models to inform conservation planning of golden eagles in renewable energy landscapes: Journal of Raptor Research, v. 51, no. 3, p. 234-257, https://doi.org/10.3356/JRR-16-77.1.","productDescription":"24 p.","startPage":"234","endPage":"257","ipdsId":"IP-079327","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":470164,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr-16-77.1","text":"Publisher Index Page"},{"id":347904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"51","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f98bbae4b0531197afa004","contributors":{"authors":[{"text":"Wiens, J. David 0000-0002-2020-038X jwiens@usgs.gov","orcid":"https://orcid.org/0000-0002-2020-038X","contributorId":468,"corporation":false,"usgs":true,"family":"Wiens","given":"J.","email":"jwiens@usgs.gov","middleInitial":"David","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":718668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schumaker, Nathan H.","contributorId":199151,"corporation":false,"usgs":false,"family":"Schumaker","given":"Nathan","email":"","middleInitial":"H.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":718669,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Inman, Richard D. rdinman@usgs.gov","contributorId":3316,"corporation":false,"usgs":true,"family":"Inman","given":"Richard","email":"rdinman@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":718670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esque, Todd C. tesque@usgs.gov","contributorId":127766,"corporation":false,"usgs":true,"family":"Esque","given":"Todd C.","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":718671,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Longshore, Kathleen M. 0000-0001-6621-1271 longshore@usgs.gov","orcid":"https://orcid.org/0000-0001-6621-1271","contributorId":2677,"corporation":false,"usgs":true,"family":"Longshore","given":"Kathleen","email":"longshore@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":718672,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nussear, Kenneth E.","contributorId":117361,"corporation":false,"usgs":false,"family":"Nussear","given":"Kenneth","email":"","middleInitial":"E.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":718673,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70194036,"text":"70194036 - 2017 - Influence of the Eastern California Shear Zone on deposition of the Mio-Pliocene Bouse Formation: Insights from the Cibola area, Arizona","interactions":[],"lastModifiedDate":"2017-12-11T15:08:44","indexId":"70194036","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Influence of the Eastern California Shear Zone on deposition of the Mio-Pliocene Bouse Formation: Insights from the Cibola area, Arizona","docAbstract":"<p>The Eastern California Shear Zone (ECSZ) is a wide zone of late Cenozoic strike-slip faults and related diffuse deformation that currently accommodates ~20–25% of relative Pacific–North America plate motion in the lower Colorado River region (Fig. 1A; Dokka and Travis, 1990; Miller et al., 2001; Guest et al., 2007; Mahan et al., 2009). The ECSZ is kinematically linked southward to dextral faults in the northern Gulf of California (Bennett et al., 2016a), and it may have initiated ca. 8 Ma when major strike-slip faults developed in the northern Gulf and Salton Trough region (Bennett et al., 2016b; Darin et al., 2016; Woodburne, 2017). Thus deformation related to the ECSZ occurred in the lower Colorado River region during deposition of the Bouse Formation, which is commonly bracketed between 6.0 and 4.8 Ma (House et al., 2008; Sarna-Wojcicki et al., 2011; Spencer et al., 2013) and may be as old as 6–7 Ma in the south (McDougall and Miranda Martínez, 2014, 2016). Post-4.5 Ma broad&nbsp;sagging is recognized along the lower Colorado River (Howard et al., 2015), but the possibility that faults of the ECSZ influenced local to regional subsidence patterns during deposition of the Bouse Formation has received little attention to date (e.g., Homan, 2014; O’Connell et al., 2016). </p><p>The Bouse Formation is a widespread sequence of late Miocene to early Pliocene deposits exposed discontinuously along the lower Colorado River corridor (Fig. 1A). In the southern Blythe basin it consists of three regionally correlative members: (1) Basal Carbonate, consisting of supratidal and intertidal mud-flat marls,&nbsp;intertidal and shallow subtidal bioclastic grainstone and conglomerate, and subtidal marl; (2) Siliciclastic member, consisting of Colorado River-derived green claystone, red mudstone and siltstone, and cross-bedded river channel sandstone; and (3) Upper Bioclastic member fossiliferous sandy calcarenite, coarse pebbly grainstone, and calcareous-matrix conglomerate (Homan, 2014; Dorsey et al., 2016; O’Connell et al., 2016, 2017). The southern Bouse Formation has been interpreted as recording deposition in either a lake (Spencer and Patchett, 1997; Spencer et al., 2008, 2013; Bright et al., 2016) or shallow marine setting (Buising, 1990; McDougall, 2008; McDougall and Miranda Martínez, 2014; O’Connell et al., 2017).</p><p>In this paper we summarize key results from five field seasons of detailed stratigraphic analysis south of Cibola, Ariz. ( . 1). The data reveal systematic stratal thinning and thickening, pinch-outs, and wedging patterns in the Bouse Formation that we conclude were produced by syn-depositional tilting in response to growth of normal faults near the eastern margin of the basin. Similar stratal patterns in other nearby areas suggest widespread structural controls on deposition of the Bouse Formation. A palinspastic reconstruction of the lower Colorado River region at 5 Ma, modified from Bennett et al. (2016), provides insight to regional fault geometries in the ECSZ that may have controlled syn-depositional tilting and subsidence in Bouse depocenters shortly prior to and during initiation of the Colorado River. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2017 Desert Symposium Field Guide and Proceedings - ECSZ does it: Revisiting the eastern California Shear Zone","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"California State University Desert Studies Center","usgsCitation":"Dorsey, R.J., O’Connell, B., Homan, M.B., and Bennett, S.E., 2017, Influence of the Eastern California Shear Zone on deposition of the Mio-Pliocene Bouse Formation: Insights from the Cibola area, Arizona, <i>in</i> 2017 Desert Symposium Field Guide and Proceedings - ECSZ does it: Revisiting the eastern California Shear Zone, p. 150-157.","productDescription":"8 p.","startPage":"150","endPage":"157","ipdsId":"IP-084485","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":349924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349922,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.desertsymposium.org"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc3de4b06e28e9c23be7","contributors":{"authors":[{"text":"Dorsey, Rebecca J.","contributorId":167712,"corporation":false,"usgs":false,"family":"Dorsey","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":24813,"text":"University of Oregan","active":true,"usgs":false}],"preferred":false,"id":721953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Connell, Brennan","contributorId":200336,"corporation":false,"usgs":false,"family":"O’Connell","given":"Brennan","email":"","affiliations":[],"preferred":false,"id":721954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Homan, Mindy B.","contributorId":200337,"corporation":false,"usgs":false,"family":"Homan","given":"Mindy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":721955,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, Scott E.K. 0000-0002-9772-4122 sekbennett@usgs.gov","orcid":"https://orcid.org/0000-0002-9772-4122","contributorId":5340,"corporation":false,"usgs":true,"family":"Bennett","given":"Scott","email":"sekbennett@usgs.gov","middleInitial":"E.K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":721952,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192424,"text":"70192424 - 2017 - Trends in methyl tert-butyl ether concentrations in private wells in southeast New Hampshire: 2005 to 2015","interactions":[],"lastModifiedDate":"2018-03-29T14:31:14","indexId":"70192424","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Trends in methyl tert-butyl ether concentrations in private wells in southeast New Hampshire: 2005 to 2015","docAbstract":"<p><span>In southeast New Hampshire, where reformulated gasoline was used from the 1990s to 2007, methyl&nbsp;</span><i>tert-</i><span>butyl ether (MtBE) concentrations ≥0.2 μg/L were found in water from 26.7% of 195 domestic wells sampled in 2005. Ten years later in 2015, and eight years after MtBE was banned, 10.3% continue to have MtBE. Most wells (140 of 195) had no MtBE detections (concentrations &lt;0.2 μg/L) in 2005 and 2015. Of the remaining wells, MtBE concentrations increased in 4 wells, decreased in 47 wells, and did not change in 4 wells. On average, MtBE concentrations decreased 65% among 47 wells whereas MtBE concentrations increased 17% among 4 wells between 2005 and 2015. The percent change in detection frequency from 2005 to 2015 (the decontamination rate) was lowest (45.5%) in high-population-density areas and in wells completed in the Berwick Formation geologic units. The decontamination rate was the highest (78.6%) where population densities were low and wells were completed in bedrock composed of granite, metamorphic, and mafic rocks. Wells in the Berwick Formation are characteristically deeper and have lower yields than wells in other rock types and have shallower overburden cover, which may allow for more rapid transport of MtBE from land-surface releases. Low-yielding, deep bedrock wells may require large contributing areas to achieve adequate well yield, and thus have a greater chance of intercepting MtBE, in addition to diluting contaminants at a slower rate and thus requiring more time to decontaminate.</span></p>","language":"English","publisher":"ACS","doi":"10.1021/acs.est.6b04149","usgsCitation":"Flanagan, S., Levitt, J.P., and Ayotte, J.D., 2017, Trends in methyl tert-butyl ether concentrations in private wells in southeast New Hampshire: 2005 to 2015: Environmental Science & Technology, v. 51, no. 3, p. 1168-1175, https://doi.org/10.1021/acs.est.6b04149.","productDescription":"8 p.","startPage":"1168","endPage":"1175","ipdsId":"IP-074814","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":352954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Hampshire","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.06207275390625,\n              42.70464124398721\n            ],\n            [\n              -70.7025146484375,\n              42.70464124398721\n            ],\n            [\n              -70.7025146484375,\n              43.624147145668076\n            ],\n            [\n              -72.06207275390625,\n              43.624147145668076\n            ],\n            [\n              -72.06207275390625,\n              42.70464124398721\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"51","issue":"3","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-11","publicationStatus":"PW","scienceBaseUri":"5afee8f7e4b0da30c1bfc4f2","contributors":{"authors":[{"text":"Flanagan, Sarah 0000-0002-7728-0982 sflanaga@usgs.gov","orcid":"https://orcid.org/0000-0002-7728-0982","contributorId":198352,"corporation":false,"usgs":true,"family":"Flanagan","given":"Sarah","email":"sflanaga@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Levitt, Joseph P. 0000-0002-2058-9516 jlevitt@usgs.gov","orcid":"https://orcid.org/0000-0002-2058-9516","contributorId":198353,"corporation":false,"usgs":false,"family":"Levitt","given":"Joseph","email":"jlevitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715779,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ayotte, Joseph D. 0000-0002-1892-2738 jayotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1892-2738","contributorId":149619,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph","email":"jayotte@usgs.gov","middleInitial":"D.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715780,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192010,"text":"70192010 - 2017 - A primer to living shorelines","interactions":[],"lastModifiedDate":"2018-01-25T13:10:30","indexId":"70192010","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"A primer to living shorelines","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Living shorelines: The science and management of nature-based coastal protection","language":"English","publisher":"CRC Research Press","isbn":"9781498740029","usgsCitation":"Bilkovic, D.M., Mitchell, M.M., Toft, J.D., and LaPeyre, M.K., 2017, A primer to living shorelines, chap. <i>of</i> Living shorelines: The science and management of nature-based coastal protection.","ipdsId":"IP-078836","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":350612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350611,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/Living-Shorelines-The-Science-and-Management-of-Nature-Based-Coastal-Protection/Bilkovic-Mitchell-Peyre-Toft/p/book/9781498740029"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6afac5e4b06e28e9c9a8f4","contributors":{"authors":[{"text":"Bilkovic, Donna Marie","contributorId":201478,"corporation":false,"usgs":false,"family":"Bilkovic","given":"Donna","email":"","middleInitial":"Marie","affiliations":[],"preferred":false,"id":725819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Molly M.","contributorId":201479,"corporation":false,"usgs":false,"family":"Mitchell","given":"Molly","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":725820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Toft, Jason D.","contributorId":201480,"corporation":false,"usgs":false,"family":"Toft","given":"Jason","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":725821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":713837,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192051,"text":"70192051 - 2017 - Determination of habitat requirements for Apache Trout","interactions":[],"lastModifiedDate":"2017-10-19T13:27:54","indexId":"70192051","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Determination of habitat requirements for Apache Trout","docAbstract":"<p><span>The Apache Trout&nbsp;</span><i>Oncorhynchus apache</i><span>, a salmonid endemic to east-central Arizona, is currently listed as threatened under the U.S. Endangered Species Act. Establishing and maintaining recovery streams for Apache Trout and other endemic species requires determination of their specific habitat requirements. We built upon previous studies of Apache Trout habitat by defining both stream-specific and generalized optimal and suitable ranges of habitat criteria in three streams located in the White Mountains of Arizona. Habitat criteria were measured at the time thought to be most limiting to juvenile and adult life stages, the summer base flow period. Based on the combined results from three streams, we found that Apache Trout use relatively deep (optimal range = 0.15–0.32 m; suitable range = 0.032–0.470 m) pools with slow stream velocities (suitable range = 0.00–0.22 m/s), gravel or smaller substrate (suitable range = 0.13–2.0 [Wentworth scale]), overhead cover (suitable range = 26–88%), and instream cover (large woody debris and undercut banks were occupied at higher rates than other instream cover types). Fish were captured at cool to moderate temperatures (suitable range = 10.4–21.1°C) in streams with relatively low maximum seasonal temperatures (optimal range = 20.1–22.9°C; suitable range = 17.1–25.9°C). Multiple logistic regression generally confirmed the importance of these variables for predicting the presence of Apache Trout. All measured variables except mean velocity were significant predictors in our model. Understanding habitat needs is necessary in managing for persistence, recolonization, and recruitment of Apache Trout. Management strategies such as fencing areas to restrict ungulate use and grazing and planting native riparian vegetation might favor Apache Trout persistence and recolonization by providing overhead cover and large woody debris to form pools and instream cover, shading streams and lowering temperatures.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2016.1225597","usgsCitation":"Petre, S.J., and Bonar, S.A., 2017, Determination of habitat requirements for Apache Trout: Transactions of the American Fisheries Society, v. 146, no. 1, p. 1-15, https://doi.org/10.1080/00028487.2016.1225597.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-080481","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":346972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","volume":"146","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-28","publicationStatus":"PW","scienceBaseUri":"59e9b996e4b05fe04cd65cb7","contributors":{"authors":[{"text":"Petre, Sally J.","contributorId":197664,"corporation":false,"usgs":false,"family":"Petre","given":"Sally","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714012,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714011,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192002,"text":"70192002 - 2017 - Comparison of oyster populations, shoreline protection service, and site characteristics at seven created fringing reefs in Louisiana: Key parameters and responses to consider","interactions":[],"lastModifiedDate":"2018-01-25T13:07:45","indexId":"70192002","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Comparison of oyster populations, shoreline protection service, and site characteristics at seven created fringing reefs in Louisiana: Key parameters and responses to consider","docAbstract":"<p><span>Coastal erosion threatens many low-lying areas around the globe. Rising sea levels from climate change are expected to increase coastal erosion and exacerbate flooding and storm surges. This is particularly true in low-lying coastal Louisiana, which developed as the Mississippi River changed course (delta switching) over the past 7000 years. Periods of land loss and gain resulted in an intricate coastal environment composed of shallow water areas with wetlands, swamps, barrier islands, and ridges (Day et al. 2007). This complex habitat sustains high economic and biological productivity, supporting the largest commercial fishery in the lower 48 states, providing habitat for important species of fish and wildlife, mitigating storm surge, and delivering protection for oil and&nbsp;gas production facilities, including five of the nation’s largest ports. Because of past and ongoing geological and physical processes, such as subsidence, sea level rise, tropical cyclonic activity, and direct human activities (Barras 2009; Chmura et al. 1992; Georgiou et al. 2005), coastal Louisiana is estimated to have lost an area almost the size of Delaware (4877 km2) between 1932 and 2010, with recent analyses indicating losses averaging 42.9 km2/year (Couvillion et al. 2011).</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Living shorelines: The science and management of nature-based coastal protection","language":"English","publisher":"CRC Research Press","isbn":"9781498740029","usgsCitation":"LaPeyre, M.K., Schwarting Miller, L., Miller, S., and Melancon, E., 2017, Comparison of oyster populations, shoreline protection service, and site characteristics at seven created fringing reefs in Louisiana: Key parameters and responses to consider, chap. <i>of</i> Living shorelines: The science and management of nature-based coastal protection, 20 p.","productDescription":"20 p.","ipdsId":"IP-069979","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":350608,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350607,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/Living-Shorelines-The-Science-and-Management-of-Nature-Based-Coastal-Protection/Bilkovic-Mitchell-Peyre-Toft/p/book/9781498740029"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6afac5e4b06e28e9c9a8f6","contributors":{"authors":[{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":713829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwarting Miller, Lindsay","contributorId":200035,"corporation":false,"usgs":false,"family":"Schwarting Miller","given":"Lindsay","email":"","affiliations":[],"preferred":false,"id":725816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Shea","contributorId":103544,"corporation":false,"usgs":true,"family":"Miller","given":"Shea","email":"","affiliations":[],"preferred":false,"id":725817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Melancon, Earl","contributorId":201481,"corporation":false,"usgs":false,"family":"Melancon","given":"Earl","email":"","affiliations":[],"preferred":false,"id":725818,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70182810,"text":"70182810 - 2017 - Geochemical evidence for a complex origin for the Kelso dunes, Mojave National Preserve, California USA","interactions":[],"lastModifiedDate":"2017-04-28T09:41:46","indexId":"70182810","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical evidence for a complex origin for the Kelso dunes, Mojave National Preserve, California USA","docAbstract":"<p><span>The Kelso Dune field in southern California is intriguing because although it is of limited areal extent (~&nbsp;100&nbsp;km</span><sup>2</sup><span>), it has a wide variety of dune forms and contains many active dunes (~&nbsp;40&nbsp;km</span><sup>2</sup><span>), which is unusual in the Mojave Desert. Studies over the past eight decades have concluded that the dunes are derived primarily from a single source, Mojave River alluvium, under a dominant, westerly-to-northwesterly wind regime. The majority of these studies did not, however, present data to support the Mojave River as the only source. We conducted mineralogical and geochemical studies of most of the 14 geomorphically defined dune groups of the Kelso Dune field as well as potential sand sources, alluvial sediments from the surrounding mountain ranges. Results indicate that sands in the nine western dune groups have K/Rb and K/Ba (primarily from K-feldspar) compositions that are indistinguishable from Mojave River alluvium (westerly/northwesterly winds) and Budweiser Wash alluvium (southwesterly winds), permitting an interpretation of two sources. In contrast, sands from the five eastern dune groups have K/Rb and K/Ba values that indicate significant inputs from alluvial fan deposits of the Providence Mountains. This requires either rare winds from the east or southeast or, more likely, aeolian reworking of distal Providence Mountain fan sediments by winds from the west, at a rate greater than input from the Mojave River or other western sources. The results indicate that even a small dune field can have a complex origin, either from seasonally varying winds or complex alluvial-fan-dune interaction. Application of K/Rb and K/Ba in K-feldspar as a provenance indicator could be used in many of the world's ergs or sand seas, where dune origins are still not well understood or are controversial. Four examples are given from Africa and the Middle East where such an approach could yield useful new information about dune sand provenance.</span></p>","language":"English","publisher":"Elsevier ","doi":"10.1016/j.geomorph.2016.10.002","usgsCitation":"Muhs, D., Lancaster, N., and Skipp, G.L., 2017, Geochemical evidence for a complex origin for the Kelso dunes, Mojave National Preserve, California USA: Geomorphology, v. 276, p. 222-243, https://doi.org/10.1016/j.geomorph.2016.10.002.","productDescription":"22 p. ","startPage":"222","endPage":"243","ipdsId":"IP-072968","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":470172,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://zenodo.org/record/1258997","text":"Publisher Index Page"},{"id":336730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"276","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b7eba1e4b01ccd5500bad7","chorus":{"doi":"10.1016/j.geomorph.2016.10.002","url":"http://dx.doi.org/10.1016/j.geomorph.2016.10.002","publisher":"Elsevier BV","authors":"Muhs Daniel R., Lancaster Nicholas, Skipp Gary L.","journalName":"Geomorphology","publicationDate":"1/2017"},"contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":168575,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":673844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lancaster, Nicholas","contributorId":184242,"corporation":false,"usgs":false,"family":"Lancaster","given":"Nicholas","email":"","affiliations":[],"preferred":false,"id":673845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skipp, Gary L. 0000-0002-9404-0980 gskipp@usgs.gov","orcid":"https://orcid.org/0000-0002-9404-0980","contributorId":2102,"corporation":false,"usgs":true,"family":"Skipp","given":"Gary","email":"gskipp@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":673846,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179824,"text":"70179824 - 2017 - New techniques to measure cliff change from historical oblique aerial photographs and structure-from-motion photogrammetry","interactions":[],"lastModifiedDate":"2017-01-19T10:18:05","indexId":"70179824","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"New techniques to measure cliff change from historical oblique aerial photographs and structure-from-motion photogrammetry","docAbstract":"Oblique aerial photograph surveys are commonly used to document coastal landscapes. Here it is shown that adequate overlap may exist in these photographic records to develop topographic models with Structure-from-Motion (SfM) photogrammetric techniques. Using photographs of Fort Funston, California, from the California Coastal Records Project, imagery were combined with ground control points in a four-dimensional analysis that produced topographic point clouds of the study area’s cliffs for 5 years spanning 2002 to 2010. Uncertainty was assessed by comparing point clouds with airborne LIDAR data, and these uncertainties were related to the number and spatial distribution of ground control points used in the SfM analyses. With six or more ground control points, the root mean squared errors between the SfM and LIDAR data were less than 0.30 m (minimum 1⁄4 0.18 m), and the mean systematic error was less than 0.10 m. The SfM results had several benefits over traditional airborne LIDAR in that they included point coverage on vertical- to-overhanging sections of the cliff and resulted in 10–100 times greater point densities. Time series of the SfM results revealed topographic changes, including landslides, rock falls, and the erosion of landslide talus along the Fort Funston beach. Thus, it was concluded that SfM photogrammetric techniques with historical oblique photographs allow for the extraction of useful quantitative information for mapping coastal topography and measuring coastal change. The new techniques presented here are likely applicable to many photograph collections and problems in the earth sciences.","language":"English","publisher":"BioOne, Coastal education and research foundation","doi":"10.2112/JCOASTRES-D-16-00095.1","collaboration":"Olympic National Park; California Coastal Records Project","usgsCitation":"Warrick, J.A., Ritchie, A., Adelman, G., Adelman, K., and Limber, P.W., 2017, New techniques to measure cliff change from historical oblique aerial photographs and structure-from-motion photogrammetry: Journal of Coastal Research, v. 33, no. 1, p. 39-55, https://doi.org/10.2112/JCOASTRES-D-16-00095.1.","productDescription":"17 p. ","startPage":"39","endPage":"55","ipdsId":"IP-075270","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470181,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2112/jcoastres-d-16-00095.1","text":"Publisher Index Page"},{"id":333423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5881ded3e4b01192927d9f7b","contributors":{"authors":[{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":658843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ritchie, Andy","contributorId":178426,"corporation":false,"usgs":false,"family":"Ritchie","given":"Andy","email":"","affiliations":[],"preferred":false,"id":658844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adelman, Gabrielle","contributorId":178427,"corporation":false,"usgs":false,"family":"Adelman","given":"Gabrielle","email":"","affiliations":[],"preferred":false,"id":658845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adelman, Ken","contributorId":178428,"corporation":false,"usgs":false,"family":"Adelman","given":"Ken","email":"","affiliations":[],"preferred":false,"id":658846,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Limber, Patrick W. 0000-0002-8207-3750 plimber@usgs.gov","orcid":"https://orcid.org/0000-0002-8207-3750","contributorId":5773,"corporation":false,"usgs":true,"family":"Limber","given":"Patrick","email":"plimber@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":658847,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70187105,"text":"70187105 - 2017 - Large decadal-scale changes in uranium and bicarbonate in groundwater of the irrigated western U.S","interactions":[],"lastModifiedDate":"2017-04-22T20:12:24","indexId":"70187105","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Large decadal-scale changes in uranium and bicarbonate in groundwater of the irrigated western U.S","docAbstract":"<p>Samples collected about one decade apart from 1105 wells from across the U.S. were compiled to assess whether uranium concentrations in the arid climate are linked to changing bicarbonate concentrations in the irrigated western U.S. Uranium concentrations in groundwater were high in the arid climate in the western U.S, where uranium sources are abundant. Sixty-four wells (6%) were above the U.S. EPA MCL of 30&nbsp;μg/L; all but one are in the arid west. Concentrations were low to non-detectable in the humid climate. Large uranium and bicarbonate increases (differences are greater than the uncertainty in concentrations) occur in 109 wells between decade 1 and decade 2. Similarly, large uranium and bicarbonate decreases occur in 76 wells between the two decades. Significantly more wells are concordant (uranium and bicarbonate are both going the same direction) than discordant (uranium and bicarbonate are going opposite directions) (p&nbsp;&lt;&nbsp;0.001; Chi-square test). The largest percent difference in uranium concentrations occur in wells where uranium is increasing and bicarbonate is also increasing. These large differences occur mostly in the arid climate. Results are consistent with the hypothesis that changing uranium concentrations are linked to changes in bicarbonate in irrigated areas of the western U.S.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.01.220","usgsCitation":"Burow, K.R., Belitz, K., Dubrovsky, N.M., and Jurgens, B., 2017, Large decadal-scale changes in uranium and bicarbonate in groundwater of the irrigated western U.S: Science of the Total Environment, v. 586, p. 87-95, https://doi.org/10.1016/j.scitotenv.2017.01.220.","productDescription":"9 p.","startPage":"87","endPage":"95","ipdsId":"IP-081578","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":470179,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2017.01.220","text":"Publisher Index Page"},{"id":340106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"586","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5915467be4b01a342e6912e6","contributors":{"authors":[{"text":"Burow, Karen R. 0000-0001-6006-6667 krburow@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-6667","contributorId":1504,"corporation":false,"usgs":true,"family":"Burow","given":"Karen","email":"krburow@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":692447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":692449,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dubrovsky, Neil M. 0000-0001-7786-1149 nmdubrov@usgs.gov","orcid":"https://orcid.org/0000-0001-7786-1149","contributorId":1799,"corporation":false,"usgs":true,"family":"Dubrovsky","given":"Neil","email":"nmdubrov@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":692450,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X bjurgens@usgs.gov","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":127839,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant C.","email":"bjurgens@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":692451,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192642,"text":"70192642 - 2017 - Reconstruction of spatio-temporal temperature from sparse historical records using robust probabilistic principal component regression","interactions":[],"lastModifiedDate":"2017-11-07T14:44:39","indexId":"70192642","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5542,"text":"Advances in Statistical Climatology, Meteorology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Reconstruction of spatio-temporal temperature from sparse historical records using robust probabilistic principal component regression","docAbstract":"<p><span>Scientific records of temperature and precipitation have been kept for several hundred years, but for many areas, only a shorter record exists. To understand climate change, there is a need for rigorous statistical reconstructions of the paleoclimate using proxy data. Paleoclimate proxy data are often sparse, noisy, indirect measurements of the climate process of interest, making each proxy uniquely challenging to model statistically. We reconstruct spatially explicit temperature surfaces from sparse and noisy measurements recorded at historical United States military forts and other observer stations from 1820 to 1894. One common method for reconstructing the paleoclimate from proxy data is principal component regression (PCR). With PCR, one learns a statistical relationship between the paleoclimate proxy data and a set of climate observations that are used as patterns for potential reconstruction scenarios. We explore PCR in a Bayesian hierarchical framework, extending classical PCR in a variety of ways. First, we model the latent principal components probabilistically, accounting for measurement error in the observational data. Next, we extend our method to better accommodate outliers that occur in the proxy data. Finally, we explore alternatives to the truncation of lower-order principal components using different regularization techniques. One fundamental challenge in paleoclimate reconstruction efforts is the lack of out-of-sample data for predictive validation. Cross-validation is of potential value, but is computationally expensive and potentially sensitive to outliers in sparse data scenarios. To overcome the limitations that a lack of out-of-sample records presents, we test our methods using a simulation study, applying proper scoring rules including a computationally efficient approximation to leave-one-out cross-validation using the log score to validate model performance. The result of our analysis is a spatially explicit reconstruction of spatio-temporal temperature from a very sparse historical record.</span></p>","language":"English","publisher":"Copernicus Publications","doi":"10.5194/ascmo-3-1-2017","usgsCitation":"Tipton, J., Hooten, M., and Goring, S., 2017, Reconstruction of spatio-temporal temperature from sparse historical records using robust probabilistic principal component regression: Advances in Statistical Climatology, Meteorology and Oceanography, v. 3, p. 1-16, https://doi.org/10.5194/ascmo-3-1-2017.","productDescription":"16 p.","startPage":"1","endPage":"16","ipdsId":"IP-076974","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470165,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/ascmo-3-1-2017","text":"Publisher Index Page"},{"id":348403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-27","publicationStatus":"PW","scienceBaseUri":"5a07e953e4b09af898c8cc0f","contributors":{"authors":[{"text":"Tipton, John","contributorId":166999,"corporation":false,"usgs":false,"family":"Tipton","given":"John","affiliations":[],"preferred":false,"id":716635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":716634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goring, Simon","contributorId":167180,"corporation":false,"usgs":false,"family":"Goring","given":"Simon","affiliations":[],"preferred":false,"id":716636,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192672,"text":"70192672 - 2017 - A guide to multi-objective optimization for ecological problems with an application to cackling goose management","interactions":[],"lastModifiedDate":"2017-11-08T15:04:05","indexId":"70192672","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"A guide to multi-objective optimization for ecological problems with an application to cackling goose management","docAbstract":"<p id=\"spar0010\">Choices in ecological research and management are the result of balancing multiple, often competing, objectives.<span>&nbsp;</span><i>Multi-objective optimization</i><span>&nbsp;</span>(MOO) is a formal decision-theoretic framework for solving multiple objective problems. MOO is used extensively in other fields including engineering, economics, and operations research. However, its application for solving ecological problems has been sparse, perhaps due to a lack of widespread understanding. Thus, our objective was to provide an accessible primer on MOO, including a review of methods common in other fields, a review of their application in ecology, and a demonstration to an applied resource management problem.</p><p id=\"spar0015\">A large class of methods for solving MOO problems can be separated into two strategies: modelling preferences pre-optimization (the<span>&nbsp;</span><i>a priori</i><span>&nbsp;</span>strategy), or modelling preferences post-optimization (the<span>&nbsp;</span><i>a posteriori</i><span>&nbsp;</span>strategy). The<span>&nbsp;</span><i>a priori</i><span>&nbsp;</span>strategy requires describing preferences among objectives without knowledge of how preferences affect the resulting decision. In the<span>&nbsp;</span><i>a posteriori</i><span>&nbsp;</span>strategy, the decision maker simultaneously considers a set of solutions (the Pareto optimal set) and makes a choice based on the trade-offs observed in the set. We describe several methods for modelling preferences pre-optimization, including: the bounded objective function method, the lexicographic method, and the weighted-sum method. We discuss modelling preferences post-optimization through examination of the Pareto optimal set. We applied each MOO strategy to the natural resource management problem of selecting a population target for cackling goose (<i>Branta hutchinsii minima</i>) abundance. Cackling geese provide food security to Native Alaskan subsistence hunters in the goose's nesting area, but depredate crops on private agricultural fields in wintering areas. We developed objective functions to represent the competing objectives related to the cackling goose population target and identified an optimal solution first using the<span>&nbsp;</span><i>a priori</i><span>&nbsp;</span>strategy, and then by examining trade-offs in the Pareto set using the<span>&nbsp;</span><i>a posteriori</i><span>&nbsp;</span>strategy. We used four approaches for selecting a final solution within the<span>&nbsp;</span><i>a posteriori</i><span>&nbsp;</span>strategy; the most common optimal solution, the most robust optimal solution, and two solutions based on maximizing a restricted portion of the Pareto set. We discuss MOO with respect to natural resource management, but MOO is sufficiently general to cover any ecological problem that contains multiple competing objectives that can be quantified using objective functions.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2016.10.010","usgsCitation":"Williams, P.J., and Kendall, W., 2017, A guide to multi-objective optimization for ecological problems with an application to cackling goose management: Ecological Modelling, v. 343, p. 54-67, https://doi.org/10.1016/j.ecolmodel.2016.10.010.","productDescription":"14 p.","startPage":"54","endPage":"67","ipdsId":"IP-074514","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470233,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2016.10.010","text":"Publisher Index Page"},{"id":348487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"343","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425bde4b0dc0b45b453c5","contributors":{"authors":[{"text":"Williams, Perry J.","contributorId":169058,"corporation":false,"usgs":false,"family":"Williams","given":"Perry","email":"","middleInitial":"J.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":721333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. 0000-0003-0084-9891 wkendall@usgs.gov","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":166709,"corporation":false,"usgs":true,"family":"Kendall","given":"William L.","email":"wkendall@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716696,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192455,"text":"70192455 - 2017 - Modeling waterfowl habitat selection in the Central Valley of California to better understand the spatial relationship between commercial poultry and waterfowl","interactions":[],"lastModifiedDate":"2019-06-04T08:40:19","indexId":"70192455","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Modeling waterfowl habitat selection in the Central Valley of California to better understand the spatial relationship between commercial poultry and waterfowl","docAbstract":"<p>Wildlife researchers frequently study resource and habitat selection of wildlife to understand their potential habitat requirements and to conserve their populations. Understanding wildlife spatial-temporal distributions related to habitat have other applications such as to model interfaces between wildlife and domestic food animals in order to mitigate disease transmission to food animals. The highly pathogenic avian influenza (HPAI) virus represents a significant risk to the poultry industry. The Central Valley of California offers a unique geographical confluence of commercial poultry and wild waterfowl, which are thought to be a key reservoir of avian influenza (AI). Therefore, understanding spatio-temporal distributions of waterfowl could improve our understanding of potential risk of HPAI exposure from a commercial poultry perspective. Using existing radio-telemetry data on waterfowl (U.S. Geological Survey) in combination with habitat and vegetation data based on Geographic Information Systems (GIS), we are developing GIS-based statistical models that predict the probability of waterfowl presence (Habitat Suitability Mapping). Near-real-time application can be developed using recent habitat data derived from Landsat imagery (acquired by satellites and publicly available through the U.S. Geological Survey) to predict temporally- and spatially-varying distributions of waterfowl in the Central Valley. These results could be used to provide decision support for the poultry industry in addressing potential risk of HPAI exposure related to waterfowl proximity.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Sixty-Sixth Western Poultry Disease Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Sixty-Sixth Western Poultry Disease Conference","conferenceDate":"March 20-22, 2017","conferenceLocation":"Sacramento, California","language":"English","publisher":"Western Poutlry Disease Conference","usgsCitation":"Matchett, E., Casazza, M.L., Fleskes, J.P., Kelman, T., Cadena, M., and Pitesky, M., 2017, Modeling waterfowl habitat selection in the Central Valley of California to better understand the spatial relationship between commercial poultry and waterfowl, <i>in</i> Proceedings of the Sixty-Sixth Western Poultry Disease Conference, Sacramento, California, March 20-22, 2017, p. 118-120.","productDescription":"3 p.","startPage":"118","endPage":"120","ipdsId":"IP-083273","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":352033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364313,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://aaap.memberclicks.net/wpdc-proceedings"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8f7e4b0da30c1bfc4f0","contributors":{"authors":[{"text":"Matchett, Elliott 0000-0001-5095-2884 ematchett@usgs.gov","orcid":"https://orcid.org/0000-0001-5095-2884","contributorId":5541,"corporation":false,"usgs":true,"family":"Matchett","given":"Elliott","email":"ematchett@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":715916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":715915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":177154,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":715917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelman, T.","contributorId":198390,"corporation":false,"usgs":false,"family":"Kelman","given":"T.","email":"","affiliations":[],"preferred":false,"id":715918,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cadena, M.","contributorId":198391,"corporation":false,"usgs":false,"family":"Cadena","given":"M.","email":"","affiliations":[],"preferred":false,"id":715919,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pitesky, M.","contributorId":198392,"corporation":false,"usgs":false,"family":"Pitesky","given":"M.","affiliations":[],"preferred":false,"id":715920,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192519,"text":"70192519 - 2017 - Mapping tree canopy cover in support of proactive prairie grouse conservation in western North America","interactions":[],"lastModifiedDate":"2017-10-26T13:39:12","indexId":"70192519","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Mapping tree canopy cover in support of proactive prairie grouse conservation in western North America","docAbstract":"<p><span>Invasive woody plant expansion is a primary threat driving fragmentation&nbsp;and loss of sagebrush (<i>Artemisia</i></span><span><span>&nbsp;</span>spp.) and prairie habitats across the central and western United States. Expansion of native woody plants, including conifer (primarily<i><span> Juniperus</span></i></span><span><span>&nbsp;</span>spp.) and<span> mesquite (<i>Prosopis</i></span></span><span><span>&nbsp;</span>spp.), over the past century is primarily attributable to wildfire suppression, historic periods of intensive livestock grazing, and changes in climate. To guide successful conservation programs aimed at reducing top-down stressors, we mapped invasive woody plants at regional scales to evaluate landscape level impacts, target restoration actions, and monitor restoration outcomes. Our overarching goal was to produce seamless regional products across sociopolitical boundaries with resolution fine enough to depict the spatial extent and degree of woody plant invasion relevant to greater sage-grouse<span>&nbsp;</span></span><i>(Centrocercus urophasianus)</i><span><span>&nbsp;</span>and lesser prairie-chicken<span>&nbsp;</span></span><i>(Tympanuchus pallidicinctus)</i><span>conservation efforts. We mapped<span> tree canopy</span><span>&nbsp;</span>cover at 1-m spatial resolution across an 11-state region (508 265 km</span><sup>2</sup><span>). Greater than 90% of occupied lesser prairie-chicken habitat was largely treeless for conifers (&lt;</span><span>&nbsp;</span><span>1% canopy cover), whereas &gt; 67% was treeless for mesquite. Conifers in the higher canopy cover classes (16</span><span>&nbsp;</span><span>−</span><span>&nbsp;</span><span>50% and &gt;</span><span>&nbsp;</span><span>50% canopy cover) were scarce (&lt;</span><span>&nbsp;</span><span>2% and 1% canopy cover), as was mesquite (&lt;</span><span>&nbsp;</span><span>5% and 1% canopy cover). Occupied habitat by sage-grouse was more variable but also had a relatively large proportion of treeless areas (</span><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mover accent=&quot;true&quot; is=&quot;true&quot;><mi is=&quot;true&quot;>x</mi><mo stretchy=&quot;true&quot; is=&quot;true&quot;>&amp;#x2212;</mo></mover></math>\"><span class=\"MJX_Assistive_MathML\">x−</span></span><span><span>&nbsp;</span>= 71, SE = 5%). Low to moderate levels of conifer cover (1</span><span>&nbsp;</span><span>−</span><span>&nbsp;</span><span>20%) were fewer (</span><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mover accent=&quot;true&quot; is=&quot;true&quot;><mi is=&quot;true&quot;>x</mi><mo stretchy=&quot;true&quot; is=&quot;true&quot;>&amp;#x2212;</mo></mover></math>\"><span class=\"MJX_Assistive_MathML\">x−</span></span><span><span>&nbsp;</span>= 23, SE = 5%) as were areas in the highest cover class (&gt;</span><span>&nbsp;</span><span>50%;<span>&nbsp;</span></span><span id=\"MathJax-Element-3-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mover accent=&quot;true&quot; is=&quot;true&quot;><mi is=&quot;true&quot;>x</mi><mo stretchy=&quot;true&quot; is=&quot;true&quot;>&amp;#x2212;</mo></mover></math>\"><span class=\"MJX_Assistive_MathML\">x−</span></span><span>= 6, SE = 2%). Mapping indicated that a high proportion of invading woody plants are at a low to intermediate level. Canopy cover maps for conifer and mesquite resulting from this study provide the first and most geographically complete, high-resolution assessment of woody<span> plant cover</span><span>&nbsp;</span>as a top-down threat to western sage-steppe and prairie ecosystems.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2016.08.002","usgsCitation":"Falkowski, M.J., Evans, J.S., Naugle, D.E., Hagen, C.A., Carleton, S.A., Maestas, J.D., Henareh Khalyani, A., Poznanovic, A.J., and Lawrence, A.J., 2017, Mapping tree canopy cover in support of proactive prairie grouse conservation in western North America: Rangeland Ecology and Management, v. 70, no. 1, p. 15-24, https://doi.org/10.1016/j.rama.2016.08.002.","productDescription":"10 p.","startPage":"15","endPage":"24","ipdsId":"IP-073817","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":482068,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2016.08.002","text":"Publisher Index Page"},{"id":347477,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"70","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e953e4b09af898c8cc11","contributors":{"authors":[{"text":"Falkowski, Michael J.","contributorId":198547,"corporation":false,"usgs":false,"family":"Falkowski","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":716381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Jeffrey S.","contributorId":171756,"corporation":false,"usgs":false,"family":"Evans","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":716382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Naugle, David E.","contributorId":82837,"corporation":false,"usgs":true,"family":"Naugle","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":716383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hagen, Christian A.","contributorId":177795,"corporation":false,"usgs":false,"family":"Hagen","given":"Christian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":716384,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carleton, Scott A. 0000-0001-9609-650X scarleton@usgs.gov","orcid":"https://orcid.org/0000-0001-9609-650X","contributorId":4060,"corporation":false,"usgs":true,"family":"Carleton","given":"Scott","email":"scarleton@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716119,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maestas, Jeremy D.","contributorId":117298,"corporation":false,"usgs":true,"family":"Maestas","given":"Jeremy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":716385,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Henareh Khalyani, Azad","contributorId":194189,"corporation":false,"usgs":false,"family":"Henareh Khalyani","given":"Azad","email":"","affiliations":[],"preferred":false,"id":716386,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Poznanovic, Aaron J.","contributorId":198548,"corporation":false,"usgs":false,"family":"Poznanovic","given":"Aaron","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":716387,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lawrence, Andrew J.","contributorId":198549,"corporation":false,"usgs":false,"family":"Lawrence","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":716388,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70192833,"text":"70192833 - 2017 - Thumbnail‐based questionnaires for the rapid and efficient collection of macroseismic data from global earthquakes","interactions":[],"lastModifiedDate":"2017-10-30T16:19:05","indexId":"70192833","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Thumbnail‐based questionnaires for the rapid and efficient collection of macroseismic data from global earthquakes","docAbstract":"<p><span>The collection of earthquake testimonies (i.e., qualitative descriptions of felt shaking) is essential for macroseismic studies (i.e., studies gathering information on how strongly an earthquake was felt in different places), and when done rapidly and systematically, improves situational awareness and in turn can contribute to efficient emergency response. In this study, we present advances made in the collection of testimonies following earthquakes around the world using a thumbnail‐based questionnaire implemented on the European‐Mediterranean Seismological Centre (EMSC) smartphone app and its website compatible for mobile devices. In both instances, the questionnaire consists of a selection of thumbnails, each representing an intensity level of the European Macroseismic Scale 1998. We find that testimonies are collected faster, and in larger numbers, by way of thumbnail‐based questionnaires than by more traditional online questionnaires. Responses were received from all seismically active regions of our planet, suggesting that thumbnails overcome language barriers. We also observed that the app is not sufficient on its own, because the websites are the main source of testimonies when an earthquake strikes a region for the first time in a while; it is only for subsequent shocks that the app is widely used. Notably though, the speed of the collection of testimonies increases significantly when the app is used. We find that automated EMSC intensities as assigned by user‐specified thumbnails are, on average, well correlated with “Did You Feel It?” (DYFI) responses and with the three independently and manually derived macroseismic datasets, but there is a tendency for EMSC to be biased low with respect to DYFI at moderate and large intensities. We address this by proposing a simple adjustment that will be verified in future earthquakes.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160120","usgsCitation":"Bossu, R., Landes, M., Roussel, F., Steed, R., Mazet-Roux, G., Martin, S.S., and Hough, S.E., 2017, Thumbnail‐based questionnaires for the rapid and efficient collection of macroseismic data from global earthquakes: Seismological Research Letters, v. 88, no. 1, p. 72-81, https://doi.org/10.1785/0220160120.","productDescription":"10 p.","startPage":"72","endPage":"81","ipdsId":"IP-079649","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":470167,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1785/0220160120","text":"External Repository"},{"id":347752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-26","publicationStatus":"PW","scienceBaseUri":"59f83a3ae4b063d5d30980f7","contributors":{"authors":[{"text":"Bossu, Remy","contributorId":198780,"corporation":false,"usgs":false,"family":"Bossu","given":"Remy","email":"","affiliations":[],"preferred":false,"id":717115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landes, Matthieu","contributorId":198781,"corporation":false,"usgs":false,"family":"Landes","given":"Matthieu","email":"","affiliations":[],"preferred":false,"id":717116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roussel, Frederic","contributorId":198782,"corporation":false,"usgs":false,"family":"Roussel","given":"Frederic","email":"","affiliations":[],"preferred":false,"id":717117,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steed, Robert","contributorId":198783,"corporation":false,"usgs":false,"family":"Steed","given":"Robert","email":"","affiliations":[],"preferred":false,"id":717118,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mazet-Roux, Gilles","contributorId":198784,"corporation":false,"usgs":false,"family":"Mazet-Roux","given":"Gilles","email":"","affiliations":[],"preferred":false,"id":717119,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martin, Stacey S.","contributorId":140021,"corporation":false,"usgs":false,"family":"Martin","given":"Stacey","email":"","middleInitial":"S.","affiliations":[{"id":5110,"text":"Earth Observatory of Singapore, Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":717120,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":717114,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70193446,"text":"70193446 - 2017 - Long-term changes in Canade Goose nest success and nest densities at an Iowa wetland complex","interactions":[],"lastModifiedDate":"2020-12-17T17:12:15.327019","indexId":"70193446","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3111,"text":"Prairie Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Long-term changes in Canade Goose nest success and nest densities at an Iowa wetland complex","docAbstract":"<p>Giant Canada geese (<i>Branta canadensis maxima</i>) were extirpated from Iowa by the early 1900s due to unregulated hunting, egg gathering, and wetland drainage in the nineteenth century (Bishop 1978). Ef- forts to reintroduce Canada geese in Iowa began in 1964 (Bishop and Howing 1972) and involved releasing flightless adults and goslings at nearly 30 sites across the state (Zenner and LaGrange 1998a). In 1972, 13 flightless pairs were released at Rice Lake Wildlife Management Area (WMA; Bishop 1978). By 1989, the breeding population of Canada geese at Rice Lake WMA had increased to 420 nesting adults (G. G. Zenner, Iowa Department of Natural Resources, unpublished data). Canada goose nest success and nest densities were documented from 1989–1991 on extant islands at Rice Lake WMA (Zenner and LaGrange 1998b).</p><p><br></p>","language":"English","publisher":"Great Plains Natural Science Society","usgsCitation":"Ness, B.N., Klaver, R.W., and Zenner, G.G., 2017, Long-term changes in Canade Goose nest success and nest densities at an Iowa wetland complex: Prairie Naturalist, v. 49, p. 37-40.","productDescription":"4 p.","startPage":"37","endPage":"40","ipdsId":"IP-061426","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","otherGeospatial":"Rice Lake Wildlife Management Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.54549407958984,\n              43.35888557904613\n            ],\n            [\n              -93.44490051269531,\n              43.35888557904613\n            ],\n            [\n              -93.44490051269531,\n              43.41028526694546\n            ],\n            [\n              -93.54549407958984,\n              43.41028526694546\n            ],\n            [\n              -93.54549407958984,\n              43.35888557904613\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"49","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc3de4b06e28e9c23bf6","contributors":{"authors":[{"text":"Ness, Brenna N.","contributorId":191566,"corporation":false,"usgs":false,"family":"Ness","given":"Brenna","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":722404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719079,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zenner, G. G.","contributorId":45913,"corporation":false,"usgs":true,"family":"Zenner","given":"G.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":807065,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189470,"text":"70189470 - 2017 - Infectious hematopoietic necrosis virus virological and genetic surveillance 2000–2012","interactions":[],"lastModifiedDate":"2017-07-13T13:42:28","indexId":"70189470","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Infectious hematopoietic necrosis virus virological and genetic surveillance 2000–2012","docAbstract":"<p><span>Surveillance records of the acute RNA pathogen of Pacific salmonid fish infectious hematopoietic necrosis virus are combined for the first time to enable landscape-level ecological analyses and modeling. The study area is the freshwater ecosystems of the large Columbia River watershed in the U.S. states of Washington, Oregon, and Idaho, as well as coastal rivers in Washington and Oregon. The study period is 2000–2012, and records were contributed by all five resource management agencies that operate conservation hatcheries in the study area. Additional records from wild fish were collected from the National Wild Fish Health Survey, operated by the U.S. Fish and Wildlife Survey. After curation and normalization, the data set consists of 6766 records, representing 1146 sample sites and 15 different fish hosts. The virus was found in an average of 12.4% of records, and of these 66.2% also have viral genetic analysis available. This data set is used to conduct univariate ecological and epidemiological analyses and develop a novel hierarchical landscape transmission model for an aquatic pathogen.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.1634","usgsCitation":"Breyta, R., Brito, I.L., Kurath, G., and LaDeau, S.L., 2017, Infectious hematopoietic necrosis virus virological and genetic surveillance 2000–2012: Ecology, v. 98, no. 1, p. 283-283, https://doi.org/10.1002/ecy.1634.","productDescription":"1 p.","startPage":"283","endPage":"283","ipdsId":"IP-079462","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":470235,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.1634","text":"Publisher Index Page"},{"id":343805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"1","noUsgsAuthors":false,"publicationDate":"2017-01-03","publicationStatus":"PW","scienceBaseUri":"596886a0e4b0d1f9f05f5998","contributors":{"authors":[{"text":"Breyta, Rachel","contributorId":150355,"corporation":false,"usgs":false,"family":"Breyta","given":"Rachel","affiliations":[],"preferred":false,"id":704803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brito, Ilana L.","contributorId":177102,"corporation":false,"usgs":false,"family":"Brito","given":"Ilana","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":704804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":704805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LaDeau, Shannon L.","contributorId":172640,"corporation":false,"usgs":false,"family":"LaDeau","given":"Shannon","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":704806,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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