{"pageNumber":"1680","pageRowStart":"41975","pageSize":"25","recordCount":184582,"records":[{"id":70032252,"text":"70032252 - 2012 - Patterns of metal composition and biological condition and their association in male common carp across an environmental contaminant gradient in Lake Mead National Recreation Area, Nevada and Arizona, USA","interactions":[],"lastModifiedDate":"2020-12-03T21:07:57.169804","indexId":"70032252","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","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":"Patterns of metal composition and biological condition and their association in male common carp across an environmental contaminant gradient in Lake Mead National Recreation Area, Nevada and Arizona, USA","docAbstract":"<p><span>There is a contaminant gradient in Lake Mead National Recreation Area (LMNRA) that is partly driven by municipal and industrial runoff and wastewater inputs via Las Vegas Wash (LVW). Adult male common carp (</span><i>Cyprinus carpio</i><span>; 10 fish/site) were collected from LVW, Las Vegas Bay (receiving LVW flow), Overton Arm (OA, upstream reference), and Willow Beach (WB, downstream) in March 2008. Discriminant function analysis was used to describe differences in metal concentrations and biological condition of fish collected from the four study sites, and canonical correlation analysis was used to evaluate the association between metal and biological traits. Metal concentrations were determined in whole-body extracts. Of 63 metals screened, those initially used in the statistical analysis were Ag, As, Ba, Cd, Co, Fe, Hg, Pb, Se, Zn. Biological variables analyzed included total length (TL), Fulton's condition factor, gonadosomatic index (GSI), hematocrit (Hct), and plasma estradiol-17β and 11-ketotestosterone (11kt) concentrations. Analysis of metal composition and biological condition both yielded strong discrimination of fish by site (respective canonical model,&nbsp;</span><i>p</i><span>&nbsp;</span><span>&lt;</span><span>&nbsp;</span><span>0.0001). Compared to OA, pairwise Mahalanobis distances between group means were WB</span><span>&nbsp;</span><span>&lt;</span><span>&nbsp;</span><span>LVB</span><span>&nbsp;</span><span>&lt;</span><span>&nbsp;</span><span>LVW for metal concentrations and LVB</span><span>&nbsp;</span><span>&lt;</span><span>&nbsp;</span><span>WB</span><span>&nbsp;</span><span>&lt;</span><span>&nbsp;</span><span>LVW for biological traits. Respective primary drivers for these separations were Ag, As, Ba, Hg, Pb, Se and Zn; and TL, GSI, 11kt, and Hct. Canonical correlation analysis using the latter variable sets showed they are significantly associated (</span><i>p</i><span>&nbsp;</span><span>&lt;</span><span>&nbsp;</span><span>0.0003); with As, Ba, Hg, and Zn, and TL, 11kt, and Hct being the primary contributors to the association. In conclusion, male carp collected along a contaminant gradient in LMNRA have distinct, collection site-dependent metal and morpho-physiological profiles that are significantly associated with each other. These associations suggest that fish health and reproductive condition (as measured by the biological variables evaluated in this study) are influenced by levels of certain metals in the Lake Mead environment.</span></p>","language":"English","doi":"10.1016/j.scitotenv.2011.11.082","issn":"00489697","usgsCitation":"Patino, R., Rosen, M.R., Orsak, E., Goodbred, S.L., May, T.W., Alvarez, D.A., Echols, K.R., Wieser, C.M., Ruessler, S., and Torres, L., 2012, Patterns of metal composition and biological condition and their association in male common carp across an environmental contaminant gradient in Lake Mead National Recreation Area, Nevada and Arizona, USA: Science of the Total Environment, v. 416, p. 215-224, https://doi.org/10.1016/j.scitotenv.2011.11.082.","productDescription":"10 p.","startPage":"215","endPage":"224","ipdsId":"IP-032268","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":242443,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214695,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2011.11.082"}],"country":"United States","state":"Nevada","otherGeospatial":"Lake Mead National Recreation Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.89776611328125,\n              35.38457160381764\n            ],\n            [\n              -114.0380859375,\n              35.38457160381764\n            ],\n            [\n              -114.0380859375,\n              36.602299135790446\n            ],\n            [\n              -114.89776611328125,\n              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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":435249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orsak, E.L.","contributorId":54028,"corporation":false,"usgs":true,"family":"Orsak","given":"E.L.","affiliations":[],"preferred":false,"id":435251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goodbred, Steven L. sgoodbred@usgs.gov","contributorId":497,"corporation":false,"usgs":true,"family":"Goodbred","given":"Steven","email":"sgoodbred@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":435252,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"May, Thomas W. tmay@usgs.gov","contributorId":2598,"corporation":false,"usgs":true,"family":"May","given":"Thomas","email":"tmay@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":435254,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alvarez, David A. 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":1369,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":435255,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Echols, Kathy R. 0000-0003-2631-9143 kechols@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-9143","contributorId":2799,"corporation":false,"usgs":true,"family":"Echols","given":"Kathy","email":"kechols@usgs.gov","middleInitial":"R.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":435247,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wieser, Carla M. 0000-0002-4342-444X cwieser@usgs.gov","orcid":"https://orcid.org/0000-0002-4342-444X","contributorId":3682,"corporation":false,"usgs":true,"family":"Wieser","given":"Carla","email":"cwieser@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":435253,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ruessler, Shane druessler@usgs.gov","contributorId":4660,"corporation":false,"usgs":true,"family":"Ruessler","given":"Shane","email":"druessler@usgs.gov","affiliations":[],"preferred":true,"id":435250,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Torres, L.","contributorId":28089,"corporation":false,"usgs":true,"family":"Torres","given":"L.","email":"","affiliations":[],"preferred":false,"id":435246,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70032254,"text":"70032254 - 2012 - Wildfire impacts on the processes that generate debris flows in burned watersheds","interactions":[],"lastModifiedDate":"2020-12-03T20:47:57.864584","indexId":"70032254","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Wildfire impacts on the processes that generate debris flows in burned watersheds","docAbstract":"<p>E<span>very year, and in many countries worldwide, wildfires cause significant damage and economic losses due to both the direct effects of the fires and the subsequent accelerated runoff, erosion, and debris flow. Wildfires can have profound effects on the hydrologic response of watersheds by changing the infiltration characteristics and erodibility of the soil, which leads to decreased rainfall infiltration, significantly increased overland flow and runoff in channels, and movement of soil. Debris-flow activity is among the most destructive consequences of these changes, often causing extensive damage to human infrastructure. Data from the Mediterranean area and Western United States of America help identify the primary processes that result in debris flows in recently burned areas. Two primary processes for the initiation of fire-related debris flows have been so far identified: (1) runoff-dominated erosion by surface overland flow; and (2) infiltration-triggered failure and mobilization of a discrete landslide mass. The first process is frequently documented immediately post-fire and leads to the generation of debris flows through progressive bulking of storm runoff with sediment eroded from the hillslopes and channels. As sediment is incorporated into water, runoff can convert to debris flow. The conversion to debris flow may be observed at a position within a drainage network that appears to be controlled by threshold values of upslope contributing area and its gradient. At these locations, sufficient eroded material has been incorporated, relative to the volume of contributing surface runoff, to generate debris flows. Debris flows have also been generated from burned basins in response to increased runoff by water cascading over a steep, bedrock cliff, and incorporating material from readily erodible colluvium or channel bed. Post-fire debris flows have also been generated by infiltration-triggered landslide failures which then mobilize into debris flows. However, only 12% of documented cases exhibited this process. When they do occur, the landslide failures range in thickness from a few tens of centimeters to more than 6&nbsp;m, and generally involve the soil and colluvium-mantled hillslopes. Surficial landslide failures in burned areas most frequently occur in response to prolonged periods of storm rainfall, or prolonged rainfall in combination with rapid snowmelt or rain-on-snow events.</span></p>","language":"English","doi":"10.1007/s11069-011-9769-9","issn":"0921030X","usgsCitation":"Parise, M., and Cannon, S.H., 2012, Wildfire impacts on the processes that generate debris flows in burned watersheds: Natural Hazards, v. 61, no. 1, p. 217-227, https://doi.org/10.1007/s11069-011-9769-9.","productDescription":"11 p.","startPage":"217","endPage":"227","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":242480,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214730,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11069-011-9769-9"}],"volume":"61","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-03-17","publicationStatus":"PW","scienceBaseUri":"505bd0cde4b08c986b32f088","contributors":{"authors":[{"text":"Parise, M.","contributorId":82486,"corporation":false,"usgs":true,"family":"Parise","given":"M.","email":"","affiliations":[],"preferred":false,"id":435261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cannon, Susan H. cannon@usgs.gov","contributorId":1019,"corporation":false,"usgs":true,"family":"Cannon","given":"Susan","email":"cannon@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":435260,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70173738,"text":"70173738 - 2012 - Forest Succession and Maternity Day roost selection by Myotis septentrionalis in a mesophytic hardwood forest","interactions":[],"lastModifiedDate":"2022-11-01T16:31:54.994036","indexId":"70173738","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2043,"text":"International Journal of Forestry Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Forest Succession and Maternity Day roost selection by <i>Myotis septentrionalis</i> in a mesophytic hardwood forest","title":"Forest Succession and Maternity Day roost selection by Myotis septentrionalis in a mesophytic hardwood forest","docAbstract":"<p><span>Conservation of summer maternity roosts is considered critical for bat management in North America, yet many aspects of the physical and environmental factors that drive roost selection are poorly understood. We tracked 58 female northern bats (</span><i>Myotis septentrionalis</i><span>) to 105 roost trees of 21 species on the Fort Knox military reservation in north-central Kentucky during the summer of 2011. Sassafras (</span><i>Sassafras albidum</i><span>) was used as a day roost more than expected based on forest stand-level availability and accounted for 48.6% of all observed day roosts. Using logistic regression and an information theoretic approach, we were unable to reliably differentiate between sassafras and other roost species or between day roosts used during different maternity periods using models representative of individual tree metrics, site metrics, topographic location, or combinations of these factors. For northern bats, we suggest that day-roost selection is not a function of differences between individual tree species&nbsp;</span><i>per se</i><span>, but rather of forest successional patterns, stand and tree structure. Present successional trajectories may not provide this particular selected structure again without management intervention, thereby suggesting that resource managers take a relatively long retrospective view to manage current and future forest conditions for bats.</span></p>","language":"English","publisher":"Forest Ecology and Management","publisherLocation":"New York, NY","doi":"10.1155/2012/148106","usgsCitation":"Silvis, A., Ford, W.M., Britzke, E.R., Beane, N.R., and Johnson, J.B., 2012, Forest Succession and Maternity Day roost selection by Myotis septentrionalis in a mesophytic hardwood forest: International Journal of Forestry Research, v. 2012, 148106, 8 p., https://doi.org/10.1155/2012/148106.","productDescription":"148106, 8 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-037748","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474749,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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VA","active":true,"usgs":false}],"preferred":false,"id":638031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":638030,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Britzke, Eric R.","contributorId":8327,"corporation":false,"usgs":true,"family":"Britzke","given":"Eric","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":638032,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beane, Nathan R.","contributorId":171588,"corporation":false,"usgs":false,"family":"Beane","given":"Nathan","email":"","middleInitial":"R.","affiliations":[{"id":26926,"text":"Us Army Engineer Research and Development Center, Vicksburg, MS","active":true,"usgs":false}],"preferred":false,"id":638034,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Joshua B.","contributorId":171598,"corporation":false,"usgs":false,"family":"Johnson","given":"Joshua","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":638033,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70173757,"text":"70173757 - 2012 - Spatio-temporal variation in male white-tailed deer harvest rates in Pennsylvania: Implications for estimating abundance","interactions":[],"lastModifiedDate":"2016-08-24T12:28:25","indexId":"70173757","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Spatio-temporal variation in male white-tailed deer harvest rates in Pennsylvania: Implications for estimating abundance","docAbstract":"<p><span>The performance of 2 popular methods that use age-at-harvest data to estimate abundance of white-tailed deer is contingent on assumptions about variation in estimates of subadult (1.5&thinsp;yr old) and adult (&ge;2.5&thinsp;yr old) male harvest rates. Auxiliary data (e.g., estimates of survival or harvest rates from radiocollared animals) can be used to relax some assumptions, but unless these population parameters exhibit limited temporal or spatial variation, these auxiliary data may not improve accuracy. Unfortunately maintaining sufficient sample sizes of radiocollared deer for parameter estimation in every wildlife management unit (WMU) is not feasible for most state agencies. We monitored the fates of 397 subadult and 225 adult male white-tailed deer across 4 WMUs from 2002 to 2008 using radio telemetry. We investigated spatial and temporal variation in harvest rates and investigated covariates related to the patterns observed. We found that most variation in harvest rates was explained spatially and that adult harvest rates (0.36&ndash;0.69) were more variable among study areas than subadult harvest rates (0.26&ndash;0.42). We found that hunter effort during the archery and firearms season best explained variation in harvest rates of adult males among WMUs, whereas hunter effort during only the firearms season best explained harvest rates for subadult males. From a population estimation perspective, it is advantageous that most variation was spatial and explained by a readily obtained covariate (hunter effort). However, harvest rates may vary if hunting regulations or hunter behavior change, requiring additional field studies to obtain accurate estimates of harvest rates.&nbsp;</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.249","usgsCitation":"Norton, A.S., Diefenbach, D.R., Wallingford, B.D., and Rosenberry, C.S., 2012, Spatio-temporal variation in male white-tailed deer harvest rates in Pennsylvania: Implications for estimating abundance: Journal of Wildlife Management, v. 76, no. 1, p. 136-143, https://doi.org/10.1002/jwmg.249.","productDescription":"8 p.","startPage":"136","endPage":"143","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025517","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","county":"Armstrong County, Centre County, Clearfield County, Clinton County, Cumberland County, Juniata County, Perry County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-79.2148,41.0526],[-79.2154,40.7745],[-79.4516,40.5347],[-79.4751,40.5298],[-79.4777,40.537],[-79.4819,40.537],[-79.4889,40.5264],[-79.4968,40.5281],[-79.5105,40.542],[-79.5268,40.5426],[-79.5614,40.5647],[-79.5698,40.5864],[-79.5504,40.6039],[-79.5632,40.6073],[-79.5806,40.6025],[-79.589,40.6196],[-79.5841,40.6369],[-79.6007,40.6253],[-79.6073,40.6252],[-79.6096,40.6402],[-79.6317,40.6507],[-79.6395,40.6669],[-79.6696,40.6804],[-79.6808,40.6716],[-79.6929,40.6696],[-79.6896,41.172],[-79.6783,41.1622],[-79.6833,41.148],[-79.6761,41.1318],[-79.6768,41.0928],[-79.6541,41.0709],[-79.6645,41.0526],[-79.6172,41.037],[-79.5983,41.0383],[-79.5974,41.0288],[-79.6053,41.0087],[-79.587,41.0058],[-79.5789,40.9991],[-79.5841,40.9918],[-79.6037,40.9942],[-79.6169,40.9889],[-79.6215,40.9798],[-79.6122,40.9745],[-79.5939,40.9707],[-79.5712,40.987],[-79.5389,40.9843],[-79.5185,40.9756],[-79.5121,40.9866],[-79.5027,40.9767],[-79.4924,40.9791],[-79.4922,40.9905],[-79.4862,40.996],[-79.4575,40.9906],[-79.455,40.9893],[-79.4603,40.9833],[-79.4511,40.9816],[-79.4446,40.9863],[-79.4269,40.9879],[-79.4141,41.0094],[-79.4067,41.0063],[-79.4109,41.0008],[-79.4023,40.9978],[-79.4015,40.9919],[-79.3784,40.994],[-79.3771,40.9913],[-79.3849,40.9867],[-79.3769,40.9832],[-79.3803,40.975],[-79.3777,40.9686],[-79.3682,40.9765],[-79.3692,40.9906],[-79.3628,41.0038],[-79.3451,40.9995],[-79.3342,41.0038],[-79.3274,41.0011],[-79.3147,41.004],[-79.2998,41.0142],[-79.2827,41.0127],[-79.2594,41.0307],[-79.2148,41.0526]]],[[[-77.1427,41.0441],[-77.2032,40.993],[-77.2796,40.9097],[-77.3594,40.8486],[-77.3788,40.8454],[-77.5938,40.7611],[-77.6526,40.7438],[-77.7089,40.7169],[-77.7156,40.7269],[-77.7671,40.7209],[-77.8236,40.7444],[-77.8521,40.7361],[-77.9471,40.6918],[-78.1348,40.7441],[-78.3622,40.7341],[-78.3511,40.722],[-78.7751,40.727],[-78.8055,40.7317],[-78.8068,41.1323],[-78.7636,41.204],[-78.7098,41.2036],[-78.6491,41.2201],[-78.6472,41.255],[-78.0921,41.2184],[-77.9887,41.37],[-77.9876,41.4757],[-77.5978,41.4784],[-77.5971,41.4412],[-77.5818,41.4394],[-77.572,41.4167],[-77.5499,41.3954],[-77.537,41.3645],[-77.5242,41.3577],[-77.4997,41.3536],[-77.4765,41.3387],[-77.471,41.3133],[-77.4538,41.3024],[-77.4471,41.2896],[-77.43,41.2828],[-77.4251,41.2729],[-77.4117,41.2674],[-77.3946,41.2497],[-77.3513,41.222],[-77.3202,41.2192],[-77.3049,41.2106],[-77.2903,41.1965],[-77.2928,41.1888],[-77.2897,41.1847],[-77.2727,41.1774],[-77.1657,41.0692],[-77.1402,41.0695],[-77.1427,41.0441]]],[[[-76.8614,40.2266],[-76.8705,40.2172],[-76.8898,40.2159],[-76.8975,40.2245],[-76.9035,40.2237],[-76.9006,40.2141],[-76.9084,40.2173],[-76.9127,40.2069],[-76.9199,40.2092],[-76.9272,40.2056],[-76.9296,40.2011],[-76.9122,40.1933],[-76.9159,40.1865],[-76.9285,40.1857],[-76.91,40.172],[-76.91,40.167],[-76.9245,40.1639],[-76.9774,40.1655],[-76.981,40.1642],[-76.9739,40.1596],[-76.9751,40.156],[-77.0347,40.1449],[-77.1386,40.0718],[-77.1814,40.0324],[-77.3022,40.015],[-77.4019,39.9933],[-77.4703,39.9444],[-77.4529,39.9725],[-77.4811,39.9925],[-77.5033,40.0147],[-77.5219,40.0505],[-77.5418,40.0736],[-77.546,40.0913],[-77.5598,40.0976],[-77.5634,40.1217],[-77.5821,40.1348],[-77.5917,40.1362],[-77.5941,40.1439],[-77.6104,40.1588],[-77.6261,40.1914],[-77.6051,40.2069],[-77.6045,40.2314],[-77.6177,40.2304],[-77.6424,40.22],[-77.6418,40.2245],[-77.6472,40.2277],[-77.6443,40.2572],[-77.6491,40.2603],[-77.666,40.254],[-77.6708,40.2576],[-77.6576,40.273],[-77.6709,40.2907],[-77.7022,40.2662],[-77.7502,40.3785],[-77.7243,40.4063],[-77.6121,40.4948],[-77.6122,40.5184],[-77.49,40.5874],[-77.4985,40.6096],[-77.4694,40.625],[-77.3858,40.6617],[-77.2924,40.6952],[-77.1591,40.6795],[-77.1087,40.6911],[-77.1015,40.6879],[-77.0955,40.6779],[-77.0379,40.6773],[-77.035,40.6605],[-77.0284,40.6577],[-77.0114,40.6613],[-77.0006,40.6372],[-76.9842,40.644],[-76.9703,40.6421],[-76.949,40.6497],[-76.9418,40.6474],[-76.937,40.636],[-76.9498,40.6275],[-76.9567,40.5944],[-76.9871,40.575],[-76.9927,40.5637],[-76.9831,40.5505],[-76.9833,40.5156],[-76.9696,40.4978],[-76.9533,40.4905],[-76.9479,40.481],[-76.9486,40.4692],[-76.9559,40.4593],[-76.9778,40.4489],[-77.0033,40.4268],[-77.0164,40.4258],[-77.0099,40.4022],[-77.0247,40.3951],[-77.0284,40.3838],[-77.0206,40.367],[-77.0092,40.3597],[-76.9332,40.3558],[-76.9123,40.3257],[-76.9234,40.2977],[-76.9223,40.2886],[-76.9068,40.2658],[-76.8614,40.2266]]]]},\"properties\":{\"name\":\"Armstrong\",\"state\":\"PA\"}}]}","volume":"76","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2011-09-27","publicationStatus":"PW","scienceBaseUri":"57594233e4b04f417c256996","contributors":{"authors":[{"text":"Norton, Andrew S.","contributorId":171631,"corporation":false,"usgs":false,"family":"Norton","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":638069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wallingford, Bret D.","contributorId":171632,"corporation":false,"usgs":false,"family":"Wallingford","given":"Bret","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":638131,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberry, Christopher S.","contributorId":171633,"corporation":false,"usgs":false,"family":"Rosenberry","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638132,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032262,"text":"70032262 - 2012 - Nonlinear effects of group size on the success of wolves hunting elk","interactions":[],"lastModifiedDate":"2020-12-03T19:37:07.184022","indexId":"70032262","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":981,"text":"Behavioral Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Nonlinear effects of group size on the success of wolves hunting elk","docAbstract":"<p><span>Despite the popular view that social predators live in groups because group hunting facilitates prey capture, the apparent tendency for hunting success to peak at small group sizes suggests that the formation of large groups is unrelated to prey capture. Few empirical studies, however, have tested for nonlinear relationships between hunting success and group size, and none have demonstrated why success trails off after peaking. Here, we use a unique dataset of observations of individually known wolves (</span><i>Canis lupus</i><span>) hunting elk (</span><i>Cervus elaphus</i><span>) in Yellowstone National Park to show that the relationship between success and group size is indeed nonlinear and that individuals withholding effort (free riding) is why success does not increase across large group sizes. Beyond 4 wolves, hunting success leveled off, and individual performance (a measure of effort) decreased for reasons unrelated to interference from inept hunters, individual age, or size. But performance did drop faster among wolves with an incentive to hold back, i.e., nonbreeders with no dependent offspring, those performing dangerous predatory tasks, i.e., grabbing and restraining prey, and those in groups of proficient hunters. These results suggest that decreasing performance was free riding and that was why success leveled off in groups with &gt;4 wolves that had superficially appeared to be cooperating. This is the first direct evidence that nonlinear trends in group hunting success reflect a switch from cooperation to free riding. It also highlights how hunting success per se is unlikely to promote formation and maintenance of large groups.</span></p>","language":"English","doi":"10.1093/beheco/arr159","issn":"10452249","usgsCitation":"MacNulty, D., Smith, D., Mech, L.D., Vucetich, J., and Packer, C., 2012, Nonlinear effects of group size on the success of wolves hunting elk: Behavioral Ecology, v. 23, no. 1, p. 75-82, https://doi.org/10.1093/beheco/arr159.","productDescription":"8 p.","startPage":"75","endPage":"82","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474823,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/beheco/arr159","text":"Publisher Index Page"},{"id":242644,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214888,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1093/beheco/arr159"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone National  Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.1484375,\n              43.96119063892024\n            ],\n            [\n              -109.64355468749999,\n              43.96119063892024\n            ],\n            [\n              -109.64355468749999,\n              45.82879925192134\n            ],\n            [\n              -112.1484375,\n              45.82879925192134\n            ],\n            [\n              -112.1484375,\n              43.96119063892024\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"23","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-09-29","publicationStatus":"PW","scienceBaseUri":"505a6783e4b0c8380cd7337f","contributors":{"authors":[{"text":"MacNulty, D.R.","contributorId":7661,"corporation":false,"usgs":true,"family":"MacNulty","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":435317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, D.W.","contributorId":24726,"corporation":false,"usgs":true,"family":"Smith","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":435318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mech, L. 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,{"id":70046364,"text":"70046364 - 2012 - Upper Klamath Basin Landsat Image for October 22, 2006: Path 44 Row 31","interactions":[],"lastModifiedDate":"2013-06-10T13:33:14","indexId":"70046364","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for October 22, 2006: Path 44 Row 31","docAbstract":"This subset of a Landsat-5 image shows part of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-5 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the Landsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) sensor. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046364","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for October 22, 2006: Path 44 Row 31, Dataset, https://doi.org/10.3133/70046364.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273544,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_10222006_p44r31_l5_usgs_1_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6f570e4b0097a7158e633","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479557,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046347,"text":"70046347 - 2012 - Upper Klamath Basin Landsat Image for August 4, 2004: Path 45 Rows 30 and 31","interactions":[],"lastModifiedDate":"2013-06-10T11:30:08","indexId":"70046347","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for August 4, 2004: Path 45 Rows 30 and 31","docAbstract":"This image is a mosaic of Landsat-5 images of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-5 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the Landsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) sensor. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046347","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for August 4, 2004: Path 45 Rows 30 and 31, Dataset, https://doi.org/10.3133/70046347.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273504,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_08042004_p45r30_l5_kl_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6f56ee4b0097a7158e61b","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479529,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046346,"text":"70046346 - 2012 - Upper Klamath Basin Landsat Image for July 28, 2004: Path 44 Row 31","interactions":[],"lastModifiedDate":"2013-06-10T11:18:20","indexId":"70046346","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for July 28, 2004: Path 44 Row 31","docAbstract":"This subset of a Landsat-5 image shows part of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-5 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the Landsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) sensor. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046346","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for July 28, 2004: Path 44 Row 31, Dataset, https://doi.org/10.3133/70046346.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273499,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273498,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_07282004_p44r31_l5_usgs_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6f56fe4b0097a7158e627","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479528,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70004950,"text":"70004950 - 2012 - An evaluation of the relative quality of dike pools for benthic macroinvertebrates in the Lower Missouri River, USA","interactions":[],"lastModifiedDate":"2016-10-20T12:34:16","indexId":"70004950","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of the relative quality of dike pools for benthic macroinvertebrates in the Lower Missouri River, USA","docAbstract":"A habitat-based aquatic macroinvertebrate study was initiated in the Lower Missouri River to evaluate relative quality and biological condition of dike pool habitats. Water-quality and sediment-quality parameters and macroinvertebrate assemblage structure were measured from depositional substrates at 18 sites. Sediment porewater was analysed for ammonia, sulphide, pH and oxidation-reduction potential. Whole sediments were analysed for particle-size distribution, organic carbon and contaminants. Field water-quality parameters were measured at subsurface and at the sediment-water interface. Pool area adjacent and downstream from each dike was estimated from aerial photography. Macroinvertebrate biotic condition scores were determined by integrating the following indicator response metrics: % of Ephemeroptera (mayflies), % of Oligochaeta worms, Shannon Diversity Index and total taxa richness. Regression models were developed for predicting macroinvertebrate scores based on individual water-quality and sediment-quality variables and a water/sediment-quality score that integrated all variables. Macroinvertebrate scores generated significant determination coefficients with dike pool area (<i>R</i><sup>2</sup>=0.56), oxidation&ndash;reduction potential (<i>R</i><sup>2</sup>=0.81) and water/sediment-quality score (<i>R</i><sup>2</sup>=0.71). Dissolved oxygen saturation, oxidation-reduction potential and total ammonia in sediment porewater were most important in explaining variation in macroinvertebrate scores. The best two-variable regression models included dike pool size + the water/sediment-quality score (<i>R</i><sup>2</sup>=0.84) and dike pool size + oxidation-reduction potential (<i>R</i><sup>2</sup>=0.93). Results indicate that dike pool size and chemistry of sediments and overlying water can be used to evaluate dike pool quality and identify environmental conditions necessary for optimizing diversity and productivity of important aquatic macroinvertebrates. A combination of these variables could be utilized for measuring the success of habitat enhancement activities currently being implemented in this system.","language":"English","publisher":"Wiley","doi":"10.1002/rra.1558","usgsCitation":"Poulton, B., and Allert, A., 2012, An evaluation of the relative quality of dike pools for benthic macroinvertebrates in the Lower Missouri River, USA: River Research and Applications, v. 28, no. 10, p. 1658-1679, https://doi.org/10.1002/rra.1558.","productDescription":"22 p.","startPage":"1658","endPage":"1679","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":259091,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259087,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.1558","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Iowa;Nebraska;Missouri;Kansas","city":"Omaha;St. Joseph;Kansas City;Jefferson City;St. Louis","otherGeospatial":"Lower Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.7193,37.3308 ], [ -97.7193,41.9755 ], [ -89.1045,41.9755 ], [ -89.1045,37.3308 ], [ -97.7193,37.3308 ] ] ] } } ] }","volume":"28","issue":"10","noUsgsAuthors":false,"publicationDate":"2011-07-18","publicationStatus":"PW","scienceBaseUri":"5059ea58e4b0c8380cd487d1","contributors":{"authors":[{"text":"Poulton, B.C.","contributorId":22930,"corporation":false,"usgs":true,"family":"Poulton","given":"B.C.","email":"","affiliations":[],"preferred":false,"id":351720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allert, A.L.","contributorId":55987,"corporation":false,"usgs":true,"family":"Allert","given":"A.L.","email":"","affiliations":[],"preferred":false,"id":351721,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046354,"text":"70046354 - 2012 - Upper Klamath Basin Landsat Image for August 29, 2004: Path 44 Row 31","interactions":[],"lastModifiedDate":"2013-06-10T11:55:45","indexId":"70046354","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for August 29, 2004: Path 44 Row 31","docAbstract":"This subset of a Landsat-5 image shows part of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-5 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the Landsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) sensor. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046354","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for August 29, 2004: Path 44 Row 31, Dataset, https://doi.org/10.3133/70046354.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273513,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_08292004_p44r31_l5_usgs_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6f56ee4b0097a7158e617","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479541,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046344,"text":"70046344 - 2012 - Upper Klamath Basin Landsat Image for July 18, 2006: Path 44 Row 31","interactions":[],"lastModifiedDate":"2013-06-10T11:09:51","indexId":"70046344","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for July 18, 2006: Path 44 Row 31","docAbstract":"This subset of a Landsat-5 image shows part of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-5 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the Landsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) sensor. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046344","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for July 18, 2006: Path 44 Row 31, Dataset, https://doi.org/10.3133/70046344.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273492,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_07182006_p44r31_l5_usgs_1_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6f56fe4b0097a7158e623","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479526,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046343,"text":"70046343 - 2012 - Upper Klamath Basin Landsat Image for July 12, 2004: Path 44 Row 31","interactions":[],"lastModifiedDate":"2013-06-10T11:00:09","indexId":"70046343","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for July 12, 2004: Path 44 Row 31","docAbstract":"This subset of a Landsat-5 image shows part of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-5 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the Landsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) sensor. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046343","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for July 12, 2004: Path 44 Row 31, Dataset, https://doi.org/10.3133/70046343.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273489,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273487,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_07122004_p44r31_l5_usgs_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6f56fe4b0097a7158e61f","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479525,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046360,"text":"70046360 - 2012 - Upper Klamath Basin Landsat Image for September 21, 2004: Path 45 Rows 30 and 31","interactions":[],"lastModifiedDate":"2013-06-10T12:56:11","indexId":"70046360","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for September 21, 2004: Path 45 Rows 30 and 31","docAbstract":"This image is a mosaic of Landsat-5 images of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-5 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the Landsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) sensor. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046360","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for September 21, 2004: Path 45 Rows 30 and 31, Dataset, https://doi.org/10.3133/70046360.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273534,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_09212004_p45r30_l5_kl_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6f571e4b0097a7158e63f","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479553,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046363,"text":"70046363 - 2012 - Upper Klamath Basin Landsat Image for October 16, 2004: Path 44 Row 31","interactions":[],"lastModifiedDate":"2013-06-10T13:25:12","indexId":"70046363","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for October 16, 2004: Path 44 Row 31","docAbstract":"This subset of a Landsat-5 image shows part of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-5 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the Landsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) sensor. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046363","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for October 16, 2004: Path 44 Row 31, Dataset, https://doi.org/10.3133/70046363.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273540,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_10162004_p44r31_l5_usgs_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6f570e4b0097a7158e62f","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479556,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70135108,"text":"70135108 - 2012 - Genetic and morphological divergence among Cooper's Hawk (<i>Accipiter cooperii</i>) populations breeding in north-central and western North America","interactions":[],"lastModifiedDate":"2018-08-20T18:12:24","indexId":"70135108","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Genetic and morphological divergence among Cooper's Hawk (<i>Accipiter cooperii</i>) populations breeding in north-central and western North America","docAbstract":"<p><span>Cooper's Hawk (</span><i>Accipiter cooperii</i><span>) populations breeding in the northern portion of the species' range exhibit variation in morphological traits that conforms to predictions based on differences in prey size, tree stand density, and migratory behavior. We examined genetic structure and gene flow and compared divergence at morphological traits (</span><i>P</i><span>ST) and genetic markers (</span><i>F</i><span>ST) to elucidate mechanisms (selection or genetic drift) that promote morphological diversification among Cooper's Hawk populations. Cooper's Hawks appear to conform to the genetic pattern of an east-west divide. Populations in British Columbia are genetically differentiated from north-central populations (Wisconsin, Minnesota, and North Dakota; pairwise microsatellite&nbsp;</span><i>F</i><span>ST= 0.031-0.050; mitochondrial DNA &Phi;</span><sub>ST</sub><span>&nbsp;= 0.177-0.204), which suggests that Cooper's Hawks were restricted to at least two Pleistocene glacial refugia. The strength of the Rocky Mountains&mdash;Great Plains area as a barrier to dispersal is further supported by restricted gene-flow rates between British Columbia and other sampled breeding populations. Divergence in morphological traits (</span><i>P</i><span>ST) was also observed across study areas, but with British Columbia and North Dakota differentiated from Wisconsin and Minnesota, a pattern not predicted on the basis of&nbsp;</span><i>F<sub>ST</sub>&nbsp;</i><span>and &Phi;</span><sub>ST</sub><span>&nbsp;interpopulation estimates. Comparison of&nbsp;</span><i>P</i><span>STand&nbsp;</span><i>F</i><span>STestimates suggests that heterogeneous selection may be acting on Cooper's Hawks in the northern portion of their distribution, which is consistent with hypotheses that variation in prey mass and migratory behavior among populations may be influencing overall body size and wing chord. We were unable to distinguish between the effects of genetic drift and selection on tail length in the study populations.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2012.11166","usgsCitation":"Sonsthagen, S.A., Rosenfield, R.N., Bielefeldt, J., Murphy, R.K., Stewart, A.C., Stout, W., Driscoll, T.G., Bozek, M.A., Sloss, B.L., and Talbot, S.L., 2012, Genetic and morphological divergence among Cooper's Hawk (<i>Accipiter cooperii</i>) populations breeding in north-central and western North America: The Auk, v. 129, no. 3, p. 427-43, https://doi.org/10.1525/auk.2012.11166.","productDescription":"11 p.","startPage":"427","endPage":"43","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031315","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":474718,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/auk.2012.11166","text":"Publisher Index Page"},{"id":296592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"129","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54897cb9e4b027aeab781294","contributors":{"authors":[{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":526837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenfield, Robert N.","contributorId":94013,"corporation":false,"usgs":false,"family":"Rosenfield","given":"Robert","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":526936,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bielefeldt, John","contributorId":127819,"corporation":false,"usgs":false,"family":"Bielefeldt","given":"John","email":"","affiliations":[],"preferred":false,"id":526937,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Robert K.","contributorId":67643,"corporation":false,"usgs":false,"family":"Murphy","given":"Robert","email":"","middleInitial":"K.","affiliations":[{"id":56253,"text":"Eagle Environmental, Inc","active":true,"usgs":false}],"preferred":false,"id":526938,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stewart, Andrew C.","contributorId":127820,"corporation":false,"usgs":false,"family":"Stewart","given":"Andrew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":526939,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stout, William C.","contributorId":56756,"corporation":false,"usgs":false,"family":"Stout","given":"William C.","affiliations":[],"preferred":false,"id":526940,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Driscoll, Timothy G.","contributorId":42027,"corporation":false,"usgs":false,"family":"Driscoll","given":"Timothy","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":526941,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bozek, Michael A.","contributorId":51030,"corporation":false,"usgs":true,"family":"Bozek","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":526942,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sloss, Brian L. bsloss@usgs.gov","contributorId":702,"corporation":false,"usgs":true,"family":"Sloss","given":"Brian","email":"bsloss@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":526943,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":526944,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70046366,"text":"70046366 - 2012 - Upper Klamath Basin Landsat Image for November 8, 2004: Path 45 Rows 30 and 31","interactions":[],"lastModifiedDate":"2013-06-10T13:41:00","indexId":"70046366","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for November 8, 2004: Path 45 Rows 30 and 31","docAbstract":"This image is a mosaic of Landsat-5 images of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-5 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the Landsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) sensor. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046366","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for November 8, 2004: Path 45 Rows 30 and 31, Dataset, https://doi.org/10.3133/70046366.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273549,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_11082004_p45r30_l5_kl_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6f56fe4b0097a7158e62b","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479558,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045756,"text":"70045756 - 2012 - Paired serologic and polymerase chain reaction analyses of avian influenza prevalence in Alaskan shorebirds","interactions":[],"lastModifiedDate":"2018-07-14T13:51:52","indexId":"70045756","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Paired serologic and polymerase chain reaction analyses of avian influenza prevalence in Alaskan shorebirds","docAbstract":"<p>Surveillance has revealed low prevalence of avian influenza viruses (AIV) in shorebirds except Ruddy Turnstones (Arenaria interpres) on the North American Atlantic coast. Similarly, of five species of shorebirds surveyed in Alaska in 2010, Ruddy Turnstones had the highest AIV antibody prevalence; prevalence of AIV RNA was low or zero.</p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/0090-3558-48.3.812","usgsCitation":"Pearce, J.M., Ruthrauff, D.R., and Hall, J.S., 2012, Paired serologic and polymerase chain reaction analyses of avian influenza prevalence in Alaskan shorebirds: Journal of Wildlife Diseases, v. 48, no. 3, p. 812-814, https://doi.org/10.7589/0090-3558-48.3.812.","productDescription":"3 p.","startPage":"812","endPage":"814","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":271754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70045342,"text":"70045342 - 2012 - Conditions and processes affecting radionuclide transport","interactions":[],"lastModifiedDate":"2015-01-13T11:32:12","indexId":"70045342","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1726,"text":"GSA Memoirs","active":true,"publicationSubtype":{"id":10}},"title":"Conditions and processes affecting radionuclide transport","docAbstract":"<p>Characteristics of host rocks, secondary minerals, and fluids would affect the transport of radionuclides from a previously proposed repository at Yucca Mountain, Nevada. Minerals in the Yucca Mountain tuffs that are important for retarding radionuclides include clinoptilolite and mordenite (zeolites), clay minerals, and iron and manganese oxides and hydroxides. Water compositions along flow paths beneath Yucca Mountain are controlled by dissolution reactions, silica and calcite precipitation, and ion-exchange reactions. Radionuclide concentrations along flow paths from a repository could be limited by (1) low waste-form dissolution rates, (2) low radionuclide solubility, and (3) radionuclide sorption onto geological media.</p>\n<p>The chief sources of radioactivity in spent nuclear fuel are americium, plutonium, and neptunium. Therefore, studies have concentrated on their geochemical mobility. Uranium-233, uranium-234, iodine-129, technetium-99, and other radionuclides also have been included in some experiments. Solubilities were determined experimentally in representative Yucca Mountain waters. Sorption coefficients were determined using water, rock, and pure mineral samples from Yucca Mountain. Batch experiments were performed at several pH levels and oxidizing conditions. Dynamic transport-column experiments, diffusion experiments, and solid-rock beaker experiments also were conducted. The batch tests gave slightly lower retardation factors than those derived from column-breakthrough experiments. This finding indicates that using batch-sorption coefficients to predict radionuclide transport will yield conservative results in a performance assessment.</p>\n<p>Understanding of unsaturated-zone transport is based on laboratory and field-scale experiments. Fractures provide advective transport pathways. Sorption and matrix diffusion may contribute to retardation of radionuclides. Conversely, sorption onto mobile colloids may enhance radionuclide transport.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2012.1209(06)","usgsCitation":"Simmons, A.M., and Neymark, L.A., 2012, Conditions and processes affecting radionuclide transport: GSA Memoirs, v. 209, p. 277-362, https://doi.org/10.1130/2012.1209(06).","productDescription":"86 p.","startPage":"277","endPage":"362","numberOfPages":"86","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025158","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":271326,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"209","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51751748e4b074c2b05564b4","contributors":{"authors":[{"text":"Simmons, Ardyth M.","contributorId":94412,"corporation":false,"usgs":true,"family":"Simmons","given":"Ardyth","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":477267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neymark, Leonid A. lneymark@usgs.gov","contributorId":532,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid","email":"lneymark@usgs.gov","middleInitial":"A.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":477266,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046680,"text":"70046680 - 2012 - Klamath Basin Restoration Agreement Off-Project Water Program Evapotranspiration Map for October 2004","interactions":[],"lastModifiedDate":"2013-06-24T14:13:10","indexId":"70046680","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Klamath Basin Restoration Agreement Off-Project Water Program Evapotranspiration Map for October 2004","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046680","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2012, Klamath Basin Restoration Agreement Off-Project Water Program Evapotranspiration Map for October 2004, Dataset, https://doi.org/10.3133/70046680.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274120,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mosaic_et_october2004_kl_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.425204,41.972926 ], [ -123.425204,43.490807 ], [ -120.483416,43.490807 ], [ -120.483416,41.972926 ], [ -123.425204,41.972926 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c96a66e4b0a50a6e8f57ff","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535556,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046687,"text":"70046687 - 2012 - Klamath Basin Restoration Agreement Off-Project Water Program Evapotranspiration Map for September 2004","interactions":[],"lastModifiedDate":"2013-06-25T11:13:31","indexId":"70046687","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Klamath Basin Restoration Agreement Off-Project Water Program Evapotranspiration Map for September 2004","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046687","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2012, Klamath Basin Restoration Agreement Off-Project Water Program Evapotranspiration Map for September 2004, Dataset, https://doi.org/10.3133/70046687.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274141,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mosaic_et_september2004_kl_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.425204,41.972926 ], [ -123.425204,43.490807 ], [ -120.483416,43.490807 ], [ -120.483416,41.972926 ], [ -123.425204,41.972926 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cabbe3e4b0d298e5434c56","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535558,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045351,"text":"70045351 - 2012 - Multi-gauge Calibration for modeling the Semi-Arid Santa Cruz Watershed in Arizona-Mexico Border Area Using SWAT","interactions":[],"lastModifiedDate":"2013-04-22T14:33:36","indexId":"70045351","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":686,"text":"Air, Soil and Water Research","active":true,"publicationSubtype":{"id":10}},"title":"Multi-gauge Calibration for modeling the Semi-Arid Santa Cruz Watershed in Arizona-Mexico Border Area Using SWAT","docAbstract":"In most watershed-modeling studies, flow is calibrated at one monitoring site, usually at the watershed outlet. Like many arid and semi-arid watersheds, the main reach of the Santa Cruz watershed, located on the Arizona-Mexico border, is discontinuous for most of the year except during large flood events, and therefore the flow characteristics at the outlet do not represent the entire watershed. Calibration is required at multiple locations along the Santa Cruz River to improve model reliability. The objective of this study was to best portray surface water flow in this semiarid watershed and evaluate the effect of multi-gage calibration on flow predictions. In this study, the Soil and Water Assessment Tool (SWAT) was calibrated at seven monitoring stations, which improved model performance and increased the reliability of flow, in the Santa Cruz watershed. The most sensitive parameters to affect flow were found to be curve number (CN2), soil evaporation and compensation coefficient (ESCO), threshold water depth in shallow aquifer for return flow to occur (GWQMN), base flow alpha factor (Alpha_Bf), and effective hydraulic conductivity of the soil layer (Ch_K2). In comparison, when the model was established with a single calibration at the watershed outlet, flow predictions at other monitoring gages were inaccurate. This study emphasizes the importance of multi-gage calibration to develop a reliable watershed model in arid and semiarid environments. The developed model, with further calibration of water quality parameters will be an integral part of the Santa Cruz Watershed Ecosystem Portfolio Model (SCWEPM), an online decision support tool, to assess the impacts of climate change and urban growth in the Santa Cruz watershed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Air, Soil and Water Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Libertas Academica Ltd.","publisherLocation":"Auckland, New Zealand","doi":"10.4137/ASWR.S9410","usgsCitation":"Niraula, R., Norman, L.A., Meixner, T., and Callegary, J.B., 2012, Multi-gauge Calibration for modeling the Semi-Arid Santa Cruz Watershed in Arizona-Mexico Border Area Using SWAT: Air, Soil and Water Research, v. 2012, no. 5, p. 41-57, https://doi.org/10.4137/ASWR.S9410.","productDescription":"17 p.","startPage":"41","endPage":"57","numberOfPages":"17","ipdsId":"IP-033521","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":474662,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4137/aswr.s9410","text":"Publisher Index Page"},{"id":271377,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271378,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4137/ASWR.S9410"}],"country":"United States","state":"Arizona","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.213226,31.210452 ], [ -111.213226,32.345162 ], [ -110.67627,32.345162 ], [ -110.67627,31.210452 ], [ -111.213226,31.210452 ] ] ] } } ] }","volume":"2012","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-04-30","publicationStatus":"PW","scienceBaseUri":"51765bebe4b0f989f99e0107","contributors":{"authors":[{"text":"Niraula, Rewati","contributorId":100714,"corporation":false,"usgs":false,"family":"Niraula","given":"Rewati","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":477274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Laura A.","contributorId":108003,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":477275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meixner, Thomas","contributorId":22653,"corporation":false,"usgs":false,"family":"Meixner","given":"Thomas","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":477273,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Callegary, James B. 0000-0003-3604-0517 jcallega@usgs.gov","orcid":"https://orcid.org/0000-0003-3604-0517","contributorId":2171,"corporation":false,"usgs":true,"family":"Callegary","given":"James","email":"jcallega@usgs.gov","middleInitial":"B.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477272,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046662,"text":"70046662 - 2012 - Long term mean annual water temperature for stream reaches in Pacific Northwest United States","interactions":[],"lastModifiedDate":"2013-06-18T15:34:56","indexId":"70046662","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Long term mean annual water temperature for stream reaches in Pacific Northwest United States","docAbstract":"Long-term mean annual water temperature (degrees Celsius) was estimated for the E2RF1 stream network (Brakebill and Terziotti, 2011) located within the Pacific Northwest region of the United States (HUC2 = 17; the Columbia River basin, the Puget Sound watershed, the coastal drainages of Washington and Oregon, and the closed basins in southern Oregon). Multiple linear regressions were used to select reach-scale watershed attributes (explanatory variables) for predicting the long-term mean annual water temperature (dependent variable) at a set of USGS water-quality monitoring stations. The results from the multiple linear regressions were used to predict the long-term mean water temperature for the Pacific Northwest reaches in the E2RF1 network.","language":"English","publisher":"U.S. Geological Service","publisherLocation":"Reston, VA","doi":"10.3133/70046662","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2012, Long term mean annual water temperature for stream reaches in Pacific Northwest United States, Dataset, https://doi.org/10.3133/70046662.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273955,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mean_water_temp_streams.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.859452,23.243486 ], [ -127.859452,51.549102 ], [ -65.377389,51.549102 ], [ -65.377389,23.243486 ], [ -127.859452,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c18169e4b0dd0e00d921ed","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535553,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045133,"text":"70045133 - 2012 - FOP 2012 stop, Honey Lake fault, Doyle, CA","interactions":[],"lastModifiedDate":"2018-10-24T16:51:53","indexId":"70045133","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"FOP 2012 stop, Honey Lake fault, Doyle, CA","docAbstract":"<p>The Honey Lake fault system (HLFS) strikes north-northwestward across Long Valley near Doyle, CA and is part of a network of active, dextral strike-slip faults in the northern Walker Lane (Figure 1). Geologic investigations of a right-laterally offset terrace riser along the north bank of Long Valley Creek, which we refer to as site 1 (Figure 2), indicate a latest Quaternary slip rate of 1.1-2. 6 mm/yr [Wills and Borchardt, 1993] and 1.7 &plusmn; 0.6 mm/yr [Turner and others, 2008] (Table 1). These studies also document evidence of at least four post-6.8 ka surface-rupturing earthquakes at this site.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Guidebook: neotectonics of the Lake Tahoe and Carson and Sierra Valleys, F.O.P. 2012 - Sept. 13-16: friends of the Pleistocene Pacific cell meeting","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Friends of the Pleistocene","usgsCitation":"Gold, R., Briggs, R.W., Crone, A., and Angster, S., 2012, FOP 2012 stop, Honey Lake fault, Doyle, CA, chap. <i>of</i> Guidebook: neotectonics of the Lake Tahoe and Carson and Sierra Valleys, F.O.P. 2012 - Sept. 13-16: friends of the Pleistocene Pacific cell meeting, p. 259-269.","productDescription":"11 p.","startPage":"259","endPage":"269","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041023","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":272345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272344,"type":{"id":11,"text":"Document"},"url":"https://funnel.sfsu.edu/fop/Tahoe_2012/resources/FOP2012-guidebook.pdf"}],"country":"United States","state":"California","city":"Doyle","otherGeospatial":"Honey Lake Fault","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51975164e4b09a9cb58d5eed","contributors":{"compilers":[{"text":"Seitz, Gordon G.","contributorId":139062,"corporation":false,"usgs":false,"family":"Seitz","given":"Gordon","email":"","middleInitial":"G.","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":720027,"contributorType":{"id":3,"text":"Compilers"},"rank":1}],"authors":[{"text":"Gold, Ryan","contributorId":97400,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","affiliations":[],"preferred":false,"id":476910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":476908,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crone, Anthony","contributorId":20624,"corporation":false,"usgs":true,"family":"Crone","given":"Anthony","affiliations":[],"preferred":false,"id":476909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Angster, Steve","contributorId":106779,"corporation":false,"usgs":true,"family":"Angster","given":"Steve","affiliations":[],"preferred":false,"id":476911,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044841,"text":"70044841 - 2012 - Mineral resource of the month: magnesium","interactions":[],"lastModifiedDate":"2013-05-08T17:05:33","indexId":"70044841","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: magnesium","docAbstract":"Magnesium is the eighthmost abundant element in Earth’s crust, and the second-most abundant metal ion in seawater. Although magnesium is found in more than 60 minerals, only brucite, dolomite, magnesite and carnallite are commercially important for their magnesium content. Magnesium and its compounds also are recovered from seawater, brines found in lakes and wells, and bitterns (salts).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geosciences Institute","publisherLocation":"Alexandria, VA","usgsCitation":"Kramer, D.A., 2012, Mineral resource of the month: magnesium: Earth, v. 57, no. 6, p. 29-29.","productDescription":"1 p.","startPage":"29","endPage":"29","numberOfPages":"1","additionalOnlineFiles":"N","ipdsId":"IP-036620","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":270503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270502,"type":{"id":11,"text":"Document"},"url":"https://www.agiweb.org/store/library/imprint.php?id=2012_06"}],"volume":"57","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515bfdf1e4b075500ee5ca5f","contributors":{"authors":[{"text":"Kramer, Deborah A.","contributorId":69966,"corporation":false,"usgs":true,"family":"Kramer","given":"Deborah","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":476392,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70192319,"text":"70192319 - 2012 - Have recent earthquakes exposed flaws in or misunderstandings of probabilistic seismic hazard analysis?","interactions":[],"lastModifiedDate":"2017-10-24T15:38:31","indexId":"70192319","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","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":"Have recent earthquakes exposed flaws in or misunderstandings of probabilistic seismic hazard analysis?","docAbstract":"<p>In a recent Opinion piece in these pages, Stein et al. (2011) offer a remarkable indictment of the methods, models, and results of probabilistic seismic hazard analysis (PSHA). The principal object of their concern is the PSHA map for Japan released by the Japan Headquarters for Earthquake Research Promotion (HERP), which is reproduced by Stein et al. (2011) as their Figure 1 and also here as our Figure 1. It shows the probability of exceedance (also referred to as the “hazard”) of the Japan Meteorological Agency (JMA) intensity 6–lower (JMA 6–) in Japan for the 30-year period beginning in January 2010. JMA 6– is an earthquake-damage intensity measure that is associated with fairly strong ground motion that can be damaging to well-built structures and is potentially destructive to poor construction (HERP, 2005, appendix 5). Reiterating Geller (2011, p. 408), Stein et al. (2011, p. 623) have this to say about Figure 1: </p><p>The regions assessed as most dangerous are the zones of three hypothetical “scenario earthquakes” (Tokai, Tonankai, and Nankai; see map). However, since 1979, earthquakes that caused 10 or more fatalities in Japan actually occurred in places assigned a relatively low probability. This discrepancy—the latest in a string of negative results for the characteristic model and its cousin the seismic-gap model—strongly suggest that the hazard map and the methods used to produce it are flawed and should be discarded. </p><p>Given the central role that PSHA now plays in seismic risk analysis, performance-based engineering, and design-basis ground motions, discarding PSHA would have important consequences. We are not persuaded by the arguments of Geller (2011) and Stein et al. (2011) for doing so because important misunderstandings about PSHA seem to have conditioned them. In the quotation above, for example, they have confused important differences between earthquake-occurrence observations and ground-motion hazard calculations.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220120043","usgsCitation":"Hanks, T.C., Beroza, G.C., and Toda, S., 2012, Have recent earthquakes exposed flaws in or misunderstandings of probabilistic seismic hazard analysis?: Seismological Research Letters, v. 83, no. 5, p. 759-764, https://doi.org/10.1785/0220120043.","productDescription":"6 p.","startPage":"759","endPage":"764","ipdsId":"IP-036939","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347270,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-09-06","publicationStatus":"PW","scienceBaseUri":"59f05125e4b0220bbd9a1dc6","contributors":{"authors":[{"text":"Hanks, Thomas C. 0000-0003-0928-0056 thanks@usgs.gov","orcid":"https://orcid.org/0000-0003-0928-0056","contributorId":3065,"corporation":false,"usgs":true,"family":"Hanks","given":"Thomas","email":"thanks@usgs.gov","middleInitial":"C.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":715291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beroza, Gregory C.","contributorId":191201,"corporation":false,"usgs":false,"family":"Beroza","given":"Gregory","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":715290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Toda, Shinji","contributorId":43062,"corporation":false,"usgs":true,"family":"Toda","given":"Shinji","email":"","affiliations":[],"preferred":false,"id":715292,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
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