{"pageNumber":"682","pageRowStart":"17025","pageSize":"25","recordCount":46666,"records":[{"id":70003449,"text":"70003449 - 2011 - Inference for occupancy and occupancy dynamics","interactions":[],"lastModifiedDate":"2016-09-26T09:57:52","indexId":"70003449","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Inference for occupancy and occupancy dynamics","docAbstract":"<p><span>This chapter deals with the estimation of occupancy as a state variable to assess the status of, and track changes in, species distributions when sampling with camera traps. Much of the recent interest in occupancy estimation and modeling originated from the models developed by MacKenzie et al. (2002, 2003), although similar methods were developed independently (Azuma et al. 1990; Bayley and Petersen 2001; Nichols and Karanth, 2002; Tyre et al. 2003), all of which deal with species occurrence information and imperfect detection. Less than a decade after these publications, the modeling and estimation of species occurrence and occupancy dynamics have increased significantly. Special features of scientific journals have explored innovative uses of detection–nondetection data with occupancy models (Vojta 2005), and an entire volume has synthesized the use and application of occupancy estimation methods (MacKenzie et al. 2006). Reviews of the topical concepts, philosophical considerations, and various sampling designs that can be used for occupancy estimation are now readily available for a range of audiences (MacKenzie and Royle 2005; MacKenzie et al. 2006; Bailey et al. 2007; Royle and Dorazio 2008; Conroy and Carroll 2009; Kendall and White 2009; Hines et al. 2010; Link and Barker 2010). As a result, it would be pointless here to recast all that these publications have so eloquently articulated, but that said, a review of any scientific topic requires sufficient context and relevant background information, especially when relatively new methodologies and techniques such as occupancy estimation and camera traps are involved. This is especially critical in a digital age where new information is published at warp speed, making it increasingly difficult to stay abreast of theoretical advances and research developments.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Camera traps in animal ecology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-4-431-99495-4_11","usgsCitation":"O’Connell, A.F., and Bailey, L., 2011, Inference for occupancy and occupancy dynamics, chap. <i>of</i> Camera traps in animal ecology, p. 191-204, https://doi.org/10.1007/978-4-431-99495-4_11.","productDescription":"14 p.","startPage":"191","endPage":"204","ipdsId":"IP-021692","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"UNITED STATES","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f5bae4b0bc0bec0a1814","contributors":{"editors":[{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":649603,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Nichols, James D. jnichols@usgs.gov","contributorId":139087,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":649604,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Karanth, K. Ullas","contributorId":6984,"corporation":false,"usgs":true,"family":"Karanth","given":"K.","email":"","middleInitial":"Ullas","affiliations":[],"preferred":false,"id":649605,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":649601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Larissa L.","contributorId":93183,"corporation":false,"usgs":true,"family":"Bailey","given":"Larissa L.","affiliations":[],"preferred":false,"id":649602,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032545,"text":"70032545 - 2011 - Vegetation index-based crop coefficients to estimate evapotranspiration by remote sensing in agricultural and natural ecosystems","interactions":[],"lastModifiedDate":"2013-04-02T15:45:38","indexId":"70032545","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Vegetation index-based crop coefficients to estimate evapotranspiration by remote sensing in agricultural and natural ecosystems","docAbstract":"Crop coefficients were developed to determine crop water needs based on the evapotranspiration (ET) of a reference crop under a given set of meteorological conditions. Starting in the 1980s, crop coefficients developed through lysimeter studies or set by expert opinion began to be supplemented by remotely sensed vegetation indices (VI) that measured the actual status of the crop on a field-by-field basis. VIs measure the density of green foliage based on the reflectance of visible and near infrared (NIR) light from the canopy, and are highly correlated with plant physiological processes that depend on light absorption by a canopy such as ET and photosynthesis. Reflectance-based crop coefficients have now been developed for numerous individual crops, including corn, wheat, alfalfa, cotton, potato, sugar beet, vegetables, grapes and orchard crops. Other research has shown that VIs can be used to predict ET over fields of mixed crops, allowing them to be used to monitor ET over entire irrigation districts. VI-based crop coefficients can help reduce agricultural water use by matching irrigation rates to the actual water needs of a crop as it grows instead of to a modeled crop growing under optimal conditions. Recently, the concept has been applied to natural ecosystems at the local, regional and continental scales of measurement, using time-series satellite data from the MODIS sensors on the Terra satellite. VIs or other visible-NIR band algorithms are combined with meteorological data to predict ET in numerous biome types, from deserts, to arctic tundra, to tropical rainforests. These methods often closely match ET measured on the ground at the global FluxNet array of eddy covariance moisture and carbon flux towers. The primary advantage of VI methods for estimating ET is that transpiration is closely related to radiation absorbed by the plant canopy, which is closely related to VIs. The primary disadvantage is that they cannot capture stress effects or soil evaporation. Copyright ?? 2011 John Wiley & Sons, Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/hyp.8392","issn":"08856087","usgsCitation":"Glenn, E.P., Neale, C.M., Hunsaker, D., and Nagler, P., 2011, Vegetation index-based crop coefficients to estimate evapotranspiration by remote sensing in agricultural and natural ecosystems: Hydrological Processes, v. 25, no. 26, p. 4050-4062, https://doi.org/10.1002/hyp.8392.","productDescription":"13 p.","startPage":"4050","endPage":"4062","numberOfPages":"13","costCenters":[],"links":[{"id":213665,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.8392"},{"id":241314,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"26","noUsgsAuthors":false,"publicationDate":"2011-12-12","publicationStatus":"PW","scienceBaseUri":"505bc1d8e4b08c986b32a7bd","contributors":{"authors":[{"text":"Glenn, E. P.","contributorId":24463,"corporation":false,"usgs":false,"family":"Glenn","given":"E.","middleInitial":"P.","affiliations":[],"preferred":false,"id":436746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neale, C. M. U.","contributorId":26523,"corporation":false,"usgs":false,"family":"Neale","given":"C.","email":"","middleInitial":"M. U.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":436747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunsaker, D.J.","contributorId":51549,"corporation":false,"usgs":true,"family":"Hunsaker","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":436749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nagler, P.L. 0000-0003-0674-103X","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":29937,"corporation":false,"usgs":true,"family":"Nagler","given":"P.L.","affiliations":[],"preferred":false,"id":436748,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70007218,"text":"ds628 - 2011 - EAARL coastal topography - Assateague Island National Seashore, Maryland and Virginia, 2010","interactions":[],"lastModifiedDate":"2022-11-10T13:54:02.799351","indexId":"ds628","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"628","title":"EAARL coastal topography - Assateague Island National Seashore, Maryland and Virginia, 2010","docAbstract":"This DVD contains lidar-derived bare-earth (BE) and first-surface (FS) topography GIS datasets of a portion of the Assateague Island National Seashore in Maryland and Virginia. These datasets were acquired on March 19 and 24, 2010.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds628","usgsCitation":"Bonisteel-Cormier, J., Nayegandhi, A., Wright, C.W., Brock, J.C., Nagle, D., Vivekanandan, S., Klipp, E., Fredericks, X., and Stevens, S., 2011, EAARL coastal topography - Assateague Island National Seashore, Maryland and Virginia, 2010: U.S. Geological Survey Data Series 628, 1 DVD, https://doi.org/10.3133/ds628.","productDescription":"1 DVD","temporalStart":"2010-03-19","temporalEnd":"2010-03-24","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"links":[{"id":116385,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_628.png"},{"id":115702,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/628/index.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Assateague Island National Seashore","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.38857371777085,\n              37.84844093424786\n            ],\n            [\n              -75.3649834509245,\n              37.860082350616565\n            ],\n            [\n              -75.34257269742092,\n              37.88568699515014\n            ],\n            [\n              -75.3248799972862,\n              37.912678615268575\n            ],\n            [\n              -75.29716143374168,\n              37.95640263016854\n            ],\n            [\n              -75.25764773677473,\n              38.008465366429704\n            ],\n            [\n              -75.22226233650525,\n              38.05073913617707\n            ],\n            [\n              -75.19218474627667,\n              38.0957733221729\n            ],\n            [\n              -75.16918423610174,\n              38.15330240871182\n            ],\n            [\n              -75.15385056265177,\n              38.197346436647905\n            ],\n            [\n              -75.12613935390668,\n              38.2609868971806\n            ],\n            [\n              -75.10257434518851,\n              38.310119401378444\n            ],\n            [\n              -75.09226465387444,\n              38.326296943484465\n            ],\n            [\n              -75.09889231257623,\n              38.3274523440744\n            ],\n            [\n              -75.11288403650259,\n              38.30318506406704\n            ],\n            [\n              -75.12319372781712,\n              38.27890966313524\n            ],\n            [\n              -75.14160389087849,\n              38.2413245847311\n            ],\n            [\n              -75.15780483437209,\n              38.214714166327894\n            ],\n            [\n              -75.18063343656797,\n              38.182305736140535\n            ],\n            [\n              -75.1916795344048,\n              38.1730435354429\n            ],\n            [\n              -75.1916795344048,\n              38.135403740077805\n            ],\n            [\n              -75.20198922571888,\n              38.10991346951968\n            ],\n            [\n              -75.22408142139248,\n              38.092528637694954\n            ],\n            [\n              -75.24617361706609,\n              38.075719368796115\n            ],\n            [\n              -75.26016534099247,\n              38.04788863960434\n            ],\n            [\n              -75.28520316275562,\n              38.00728318805736\n            ],\n            [\n              -75.31245020408736,\n              37.993316681345405\n            ],\n            [\n              -75.30582254538511,\n              37.969518507681315\n            ],\n            [\n              -75.32423270844647,\n              37.952100320779024\n            ],\n            [\n              -75.3198142693119,\n              37.93874357989789\n            ],\n            [\n              -75.3728355389278,\n              37.911441821046964\n            ],\n            [\n              -75.38240882371957,\n              37.89865879169896\n            ],\n            [\n              -75.39860976721364,\n              37.87424866083994\n            ],\n            [\n              -75.39860976721364,\n              37.85855216117251\n            ],\n            [\n              -75.38857371777085,\n              37.84844093424786\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a044de4b0c8380cd508b8","contributors":{"authors":[{"text":"Bonisteel-Cormier, J.M.","contributorId":8060,"corporation":false,"usgs":true,"family":"Bonisteel-Cormier","given":"J.M.","affiliations":[],"preferred":false,"id":356109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":356112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, C. W. wwright@usgs.gov","contributorId":49758,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":false,"id":356114,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brock, J. C.","contributorId":36095,"corporation":false,"usgs":true,"family":"Brock","given":"J.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":356111,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nagle, D.B.","contributorId":40568,"corporation":false,"usgs":true,"family":"Nagle","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":356113,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vivekanandan, Saisudha","contributorId":84325,"corporation":false,"usgs":true,"family":"Vivekanandan","given":"Saisudha","email":"","affiliations":[],"preferred":false,"id":356115,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Klipp, E.S.","contributorId":100340,"corporation":false,"usgs":true,"family":"Klipp","given":"E.S.","affiliations":[],"preferred":false,"id":356116,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fredericks, Xan","contributorId":35704,"corporation":false,"usgs":true,"family":"Fredericks","given":"Xan","affiliations":[],"preferred":false,"id":356110,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stevens, Sara","contributorId":104015,"corporation":false,"usgs":true,"family":"Stevens","given":"Sara","affiliations":[],"preferred":false,"id":356117,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70005579,"text":"70005579 - 2011 - Informal and formal trail monitoring protocols and baseline conditions: Acadia National Park","interactions":[],"lastModifiedDate":"2016-12-06T13:33:34","indexId":"70005579","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Informal and formal trail monitoring protocols and baseline conditions: Acadia National Park","docAbstract":"At Acadia National Park, changing visitor use levels and patterns have contributed to an increasing degree of visitor use impacts to natural and cultural resources. To better understand the extent and severity of these resource impacts and identify effective management techniques, the park sponsored this research to develop monitoring protocols, collect baseline data, and identify suggestions for management strategies. Formal and informal trails were surveyed and their resource conditions were assessed and characterized to support park planning and management decision-making.","language":"English","publisher":"Virginia Tech College of Natural Resources & Environment","publisherLocation":"Blacksburg, VA","usgsCitation":"Marion, J.L., Wimpey, J.F., and Park, L., 2011, Informal and formal trail monitoring protocols and baseline conditions: Acadia National Park, iii, 95 p.","productDescription":"iii, 95 p.","numberOfPages":"98","ipdsId":"IP-030097","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":331572,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5847dc7fe4b06d80b7af6ab9","contributors":{"authors":[{"text":"Marion, Jeffrey L.","contributorId":56322,"corporation":false,"usgs":true,"family":"Marion","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":654984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wimpey, Jeremy F.","contributorId":83769,"corporation":false,"usgs":true,"family":"Wimpey","given":"Jeremy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":654985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Park, L.","contributorId":36269,"corporation":false,"usgs":true,"family":"Park","given":"L.","email":"","affiliations":[],"preferred":false,"id":654986,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70033878,"text":"70033878 - 2011 - Transient and steady state creep response of ice I and magnesium sulfate hydrate eutectic aggregates","interactions":[],"lastModifiedDate":"2013-10-22T09:52:14","indexId":"70033878","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Transient and steady state creep response of ice I and magnesium sulfate hydrate eutectic aggregates","docAbstract":"Using uniaxial compression creep experiments, we characterized the transient and steady state deformation behaviors of eutectic aggregates of system ice I and MgSO4 11H2O (MS11; meridianiite), which has significance because of its likely presence on moons of the outer solar system. Synthetic samples of eutectic liquid bulk composition, which produce eutectic colonies containing 0.35-0.50 volume fraction MS11, were tested as functions of colony size and lamellar spacing, temperature (230-250 K), and confining pressure (0.1 and 50 MPa) to strains ???0.2. Up to a differential stress of 6 MPa, the ice I-MS11 aggregates display an order of magnitude higher effective viscosity and higher stress sensitivity than do aggregates of pure polycrystalline ice at the same conditions. The creep data and associated microstructural observations demonstrate, however, that the aggregates are additionally more brittle than pure ice, approaching rate-independent plasticity that includes rupture of the hydrate phase at 6-8 MPa, depending on the scale of the microstructure. Microstructures of deformed samples reveal forms of semibrittle flow in which the hydrate phase fractures while the ice phase deforms plastically. Semibrittle flow in the icy shell of a planetary body would truncate the lithospheric strength envelope and thereby decrease the depth to the brittle-ductile transition by 55% and reduce the failure limit for compressional surface features from 10 to ???6 MPa. A constitutive equation that includes eutectic colony boundary sliding and intracolony flow is used to describe the steady state rheology of the eutectic aggregates. Copyright ?? 2011 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research E: Planets","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2010JE003689","issn":"01480227","usgsCitation":"McCarthy, C., Cooper, R., Goldsby, D., Durham, W., and Kirby, S.H., 2011, Transient and steady state creep response of ice I and magnesium sulfate hydrate eutectic aggregates: Journal of Geophysical Research E: Planets, v. 116, no. 4, https://doi.org/10.1029/2010JE003689.","costCenters":[],"links":[{"id":475381,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.7916/d88w3rrk","text":"External Repository"},{"id":214534,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010JE003689"},{"id":242269,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"116","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-04-20","publicationStatus":"PW","scienceBaseUri":"505bb6f7e4b08c986b326f89","contributors":{"authors":[{"text":"McCarthy, C.","contributorId":68112,"corporation":false,"usgs":true,"family":"McCarthy","given":"C.","email":"","affiliations":[],"preferred":false,"id":442981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cooper, R.F.","contributorId":77740,"corporation":false,"usgs":true,"family":"Cooper","given":"R.F.","email":"","affiliations":[],"preferred":false,"id":442983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldsby, D.L.","contributorId":84107,"corporation":false,"usgs":true,"family":"Goldsby","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":442984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Durham, W.B.","contributorId":72135,"corporation":false,"usgs":true,"family":"Durham","given":"W.B.","email":"","affiliations":[],"preferred":false,"id":442982,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kirby, S. H.","contributorId":51721,"corporation":false,"usgs":true,"family":"Kirby","given":"S.","middleInitial":"H.","affiliations":[],"preferred":false,"id":442980,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70004004,"text":"70004004 - 2011 - Estimating trends in alligator populations from nightlight survey data","interactions":[],"lastModifiedDate":"2021-05-21T19:44:08.913963","indexId":"70004004","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Estimating trends in alligator populations from nightlight survey data","docAbstract":"<p><span>Nightlight surveys are commonly used to evaluate status and trends of crocodilian populations, but imperfect detection caused by survey- and location-specific factors makes it difficult to draw population inferences accurately from uncorrected data. We used a two-stage hierarchical model comprising population abundance and detection probability to examine recent abundance trends of American alligators (</span><i>Alligator mississippiensis</i><span>) in subareas of Everglades wetlands in Florida using nightlight survey data. During 2001–2008, there were declining trends in abundance of small and/or medium sized animals in a majority of subareas, whereas abundance of large sized animals had either demonstrated an increased or unclear trend. For small and large sized class animals, estimated detection probability declined as water depth increased. Detection probability of small animals was much lower than for larger size classes. The declining trend of smaller alligators may reflect a natural population response to the fluctuating environment of Everglades wetlands under modified hydrology. It may have negative implications for the future of alligator populations in this region, particularly if habitat conditions do not favor recruitment of offspring in the near term. Our study provides a foundation to improve inferences made from nightlight surveys of other crocodilian populations.</span></p>","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s13157-010-0120-0","usgsCitation":"Fujisaki, I., Mazzotti, F., Dorazio, R.M., Rice, K.G., Cherkiss, M., and Jeffery, B., 2011, Estimating trends in alligator populations from nightlight survey data: Wetlands, v. 31, no. 1, p. 147-155, https://doi.org/10.1007/s13157-010-0120-0.","productDescription":"9 p.","startPage":"147","endPage":"155","temporalStart":"2001-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":256864,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.84814453125,\n              25.110471486223346\n            ],\n            [\n              -80.2716064453125,\n              25.110471486223346\n            ],\n            [\n              -80.2716064453125,\n              26.559049984075532\n            ],\n            [\n              -81.84814453125,\n              26.559049984075532\n            ],\n            [\n              -81.84814453125,\n              25.110471486223346\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-11","publicationStatus":"PW","scienceBaseUri":"505a0b6ae4b0c8380cd526f4","contributors":{"authors":[{"text":"Fujisaki, Ikuko","contributorId":31108,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":350107,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mazzotti, Frank J.","contributorId":100018,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":350110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":350106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rice, Kenneth G. 0000-0001-8282-1088 krice@usgs.gov","orcid":"https://orcid.org/0000-0001-8282-1088","contributorId":117,"corporation":false,"usgs":true,"family":"Rice","given":"Kenneth","email":"krice@usgs.gov","middleInitial":"G.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":350105,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cherkiss, Michael 0000-0002-7802-6791","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":78068,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","affiliations":[],"preferred":false,"id":350109,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jeffery, Brian","contributorId":55672,"corporation":false,"usgs":true,"family":"Jeffery","given":"Brian","affiliations":[],"preferred":false,"id":350108,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70156865,"text":"70156865 - 2011 - Management case study: Tampa Bay, Florida","interactions":[],"lastModifiedDate":"2022-11-07T17:48:51.435963","indexId":"70156865","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Management case study: Tampa Bay, Florida","docAbstract":"<p id=\"sp9110\">Tampa Bay, Florida, USA, is a shallow, subtropical estuary that experienced severe cultural eutrophication between the 1940s and 1980s, a period when the human population of its watershed quadrupled. In response, citizen action led to the formation of a public- and private-sector partnership (the Tampa Bay Estuary Program), which adopted a number of management objectives to support the restoration and protection of the bay’s living resources. These included numeric chlorophyll<span>&nbsp;</span><i>a</i><span>&nbsp;</span>and water-clarity targets, as well as long-term goals addressing the spatial extent of seagrasses and other selected habitat types, to support estuarine-dependent faunal guilds.</p><p id=\"sp0005\">Over the past three decades, nitrogen controls involving sources such as wastewater treatment plants, stormwater conveyance systems, fertilizer manufacturing and shipping operations, and power plants have been undertaken to meet these and other management objectives. Cumulatively, these controls have resulted in a 60% reduction in annual total nitrogen (TN) loads relative to earlier worse-case (latter 1970s) conditions. As a result, annual water-clarity and chlorophyll<span>&nbsp;</span><i>a</i><span>&nbsp;</span>targets are currently met in most years, and seagrass cover measured in 2008 was the highest recorded since 1950.</p><p id=\"sp0010\">Factors that have contributed to the observed improvements in Tampa Bay over the past several decades include the following: (1) Development of numeric, science-based water-quality targets to meet a long-term goal of restoring seagrass acreage to 1950s levels. Empirical and mechanistic models found that annual average chlorophyll<span>&nbsp;</span><i>a</i><span>&nbsp;</span>concentrations were a primary manageable factor affecting light attenuation. The models also quantified relationships between TN loads, chlorophyll<span>&nbsp;</span><i>a</i><span>&nbsp;</span>concentrations, light attenuation, and fluctuations in seagrass cover. The availability of long-term monitoring data, and a systematic process for using the data to evaluate the effectiveness of management actions, has allowed managers to track progress and make adaptive changes when needed. (2) Citizen involvement, that is, the initial reductions in TN loads, which occurred in the late 1970s and early 1980s, was a result of state regulations that were developed in response to citizens’ call for action. Improved water clarity and better fishing and swimming conditions were identified as primary goals by citizens again in the early 1990s, and led to development of numeric water-quality targets and seagrass restoration goals. More recent citizen actions, from pet waste campaigns to support of reductions in residential fertilizer use, are important elements of the nitrogen management strategy. (3) Collaborative actions, that is, in addition to numerous other collaborative ventures that have benefitted Tampa Bay, the public/private Nitrogen Management Consortium, which includes more than 40 participating organizations, has implemented over 250 nutrient-reduction projects. These projects have addressed stormwater treatment, fertilizer manufacturing and shipping, agricultural practices, reclaimed water use, and atmospheric emissions from local power stations, providing more than 300 tons of TN load reductions since 1995. (4) State and federal regulatory programs, that is, regulatory requirements, such as state statutes and rules requiring compliance with advanced wastewater treatment standards by municipal sewerage works, have played a key role in Tampa Bay management efforts. The technical basis and implementation plan of the Tampa Bay nitrogen management strategy have been developed in cooperation with state and federal regulatory agencies, and the strategy has been recognized by them as an appropriate tool for meeting water-quality standards, including federally mandated total maximum daily loads.</p><p id=\"sp0015\">Subsequent management efforts have focused on maintaining and extending those improvements in Tampa Bay’s environmental resources by addressing water and sediment quality and habitat protection and restoration. Implementation of a collaborative, watershed-based management process, driven by an integrated science approach, has played a central role in supporting progress toward the achievement of science-based estuary management goals.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Management of Estuaries and Coasts","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Academic Press","doi":"10.1016/B978-0-12-374711-2.01104-9","usgsCitation":"Morrison, G., Greening, H., and Yates, K.K., 2011, Management case study: Tampa Bay, Florida, chap. 3 <i>of</i> Management of Estuaries and Coasts, v. 11, p. 31-76, https://doi.org/10.1016/B978-0-12-374711-2.01104-9.","productDescription":"46 p.","startPage":"31","endPage":"76","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":307757,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Tampa Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.74112843580697,\n              27.724232563301783\n            ],\n            [\n              -82.73909462804569,\n              27.690420358891515\n            ],\n            [\n              -82.7482467629677,\n              27.653496110230464\n            ],\n            [\n              -82.73299320476448,\n              27.614757278759228\n            ],\n            [\n              -82.76655103281175,\n              27.60304284014913\n            ],\n            [\n              -82.76858484057183,\n              27.58411687076176\n            ],\n            [\n              -82.74417914744706,\n              27.53543509610624\n            ],\n            [\n              -82.72079035820211,\n              27.509282274288324\n            ],\n            [\n              -82.70350299223881,\n              27.469590257638927\n            ],\n            [\n              -82.65875922150948,\n              27.4587626796843\n            ],\n            [\n              -82.63130281674388,\n              27.465981183160693\n            ],\n            [\n              -82.63435352838545,\n              27.484527508292103\n            ],\n            [\n              -82.63435352838545,\n              27.49715662542735\n            ],\n            [\n              -82.6536747021093,\n              27.512490034205683\n            ],\n            [\n              -82.63231972062489,\n              27.498058649790707\n            ],\n            [\n              -82.59367737317675,\n              27.49264639273912\n            ],\n            [\n              -82.53368004424463,\n              27.490842247926793\n            ],\n            [\n              -82.50113912007815,\n              27.499862676341778\n            ],\n            [\n              -82.44114179114557,\n              27.499862676341778\n            ],\n            [\n              -82.39436421265613,\n              27.498058649790707\n            ],\n            [\n              -82.3923304048956,\n              27.531428353411656\n            ],\n            [\n              -82.43707417562493,\n              27.53954377730868\n            ],\n            [\n              -82.50724054335933,\n              27.54044545407983\n            ],\n            [\n              -82.52656171708318,\n              27.52511594276298\n            ],\n            [\n              -82.57333929557262,\n              27.519705016590052\n            ],\n            [\n              -82.58859285377584,\n              27.527821305995417\n            ],\n            [\n              -82.54283217916668,\n              27.569295202977003\n            ],\n            [\n              -82.53774765976529,\n              27.602643272740607\n            ],\n            [\n              -82.5509674102084,\n              27.63417940684026\n            ],\n            [\n              -82.52757862096345,\n              27.670209578058987\n            ],\n            [\n              -82.5143588705208,\n              27.661203148269195\n            ],\n            [\n              -82.47469961919235,\n              27.68461832171606\n            ],\n            [\n              -82.47368271531255,\n              27.70172623581962\n            ],\n            [\n              -82.46351367651025,\n              27.689120664307538\n            ],\n            [\n              -82.4340234639841,\n              27.661203148269195\n            ],\n            [\n              -82.41775300190112,\n              27.681916827054977\n            ],\n            [\n              -82.43809107950521,\n              27.70172623581962\n            ],\n            [\n              -82.42690513682265,\n              27.7134301056865\n            ],\n            [\n              -82.4299558484635,\n              27.731433607132132\n            ],\n            [\n              -82.45131082994789,\n              27.739534212756098\n            ],\n            [\n              -82.44114179114557,\n              27.74853417932495\n            ],\n            [\n              -82.42792204070294,\n              27.73863417520309\n            ],\n            [\n              -82.40555015533825,\n              27.73863417520309\n            ],\n            [\n              -82.39131350101533,\n              27.77103084179774\n            ],\n            [\n              -82.39944873205705,\n              27.781827588080617\n            ],\n            [\n              -82.38317826997407,\n              27.809714221391204\n            ],\n            [\n              -82.36284019236992,\n              27.836694471296255\n            ],\n            [\n              -82.34656973028645,\n              27.86097096164582\n            ],\n            [\n              -82.36894161565111,\n              27.878051159383872\n            ],\n            [\n              -82.39538111653643,\n              27.896926139502057\n            ],\n            [\n              -82.40148253981762,\n              27.919392062483325\n            ],\n            [\n              -82.40351634757819,\n              27.93286937628747\n            ],\n            [\n              -82.37300923117174,\n              27.94185331849863\n            ],\n            [\n              -82.37707684669239,\n              27.952633062950753\n            ],\n            [\n              -82.43605727174466,\n              27.962513550034743\n            ],\n            [\n              -82.49605460067676,\n              27.92478318964747\n            ],\n            [\n              -82.48893627351528,\n              27.880747786564854\n            ],\n            [\n              -82.49707150455704,\n              27.866364999167104\n            ],\n            [\n              -82.47673342695292,\n              27.841190527638062\n            ],\n            [\n              -82.48181794635386,\n              27.828601100388553\n            ],\n            [\n              -82.52351100544234,\n              27.839392127460073\n            ],\n            [\n              -82.53062933260381,\n              27.848383830204995\n            ],\n            [\n              -82.53266314036438,\n              27.86007192929337\n            ],\n            [\n              -82.52249410156256,\n              27.875354465064447\n            ],\n            [\n              -82.52046029380199,\n              27.90052100069626\n            ],\n            [\n              -82.51842648604145,\n              27.9427516716313\n            ],\n            [\n              -82.53266314036438,\n              27.949938227712607\n            ],\n            [\n              -82.54283217916668,\n              27.965208071369403\n            ],\n            [\n              -82.54588289080702,\n              27.98855777097802\n            ],\n            [\n              -82.57232239169234,\n              27.98855777097802\n            ],\n            [\n              -82.59062666153638,\n              28.00561781573242\n            ],\n            [\n              -82.60791402749966,\n              28.013697946851593\n            ],\n            [\n              -82.6221506818226,\n              28.033446826271998\n            ],\n            [\n              -82.65570850986937,\n              28.037037142333105\n            ],\n            [\n              -82.68723253015607,\n              28.042422391784925\n            ],\n            [\n              -82.70960441552074,\n              28.051397208413135\n            ],\n            [\n              -82.68519872239551,\n              28.001128592108955\n            ],\n            [\n              -82.69435085731754,\n              27.9921495837647\n            ],\n            [\n              -82.70350299223956,\n              27.98855777097802\n            ],\n            [\n              -82.71062131940103,\n              27.976883553005592\n            ],\n            [\n              -82.70248608835928,\n              27.967004381549955\n            ],\n            [\n              -82.71672274268221,\n              27.96610623019737\n            ],\n            [\n              -82.73502701252579,\n              27.944548355482638\n            ],\n            [\n              -82.72994249312487,\n              27.92747865241273\n            ],\n            [\n              -82.67401277971344,\n              27.90411574247034\n            ],\n            [\n              -82.6536747021093,\n              27.89962229659281\n            ],\n            [\n              -82.64960708658819,\n              27.882545500717626\n            ],\n            [\n              -82.62011687406252,\n              27.878950042570906\n            ],\n            [\n              -82.61909997018223,\n              27.86996087502837\n            ],\n            [\n              -82.62825210510378,\n              27.865466011557004\n            ],\n            [\n              -82.63943804778636,\n              27.869061917250207\n            ],\n            [\n              -82.64147185554692,\n              27.857374787494393\n            ],\n            [\n              -82.63842114390609,\n              27.835795237669785\n            ],\n            [\n              -82.62621829734371,\n              27.81061367107027\n            ],\n            [\n              -82.643505663307,\n              27.803417865111328\n            ],\n            [\n              -82.63231972062489,\n              27.787225559331674\n            ],\n            [\n              -82.63943804778636,\n              27.77103084179774\n            ],\n            [\n              -82.6374042400258,\n              27.746734245500363\n            ],\n            [\n              -82.64452256718727,\n              27.742234280803544\n            ],\n            [\n              -82.64147185554692,\n              27.716130820413255\n            ],\n            [\n              -82.64960708658819,\n              27.706227872818218\n            ],\n            [\n              -82.68824943403636,\n              27.721532049225218\n            ],\n            [\n              -82.74112843580697,\n              27.724232563301783\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560bb6c6e4b058f706e53d47","contributors":{"editors":[{"text":"Wolanski, Eric","contributorId":82186,"corporation":false,"usgs":true,"family":"Wolanski","given":"Eric","affiliations":[],"preferred":false,"id":570863,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"McLusky, Donald S.","contributorId":111948,"corporation":false,"usgs":true,"family":"McLusky","given":"Donald","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":570864,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Morrison, Gerold","contributorId":58150,"corporation":false,"usgs":true,"family":"Morrison","given":"Gerold","email":"","affiliations":[],"preferred":false,"id":570860,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greening, Holly","contributorId":64299,"corporation":false,"usgs":true,"family":"Greening","given":"Holly","email":"","affiliations":[],"preferred":false,"id":570861,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yates, Kimberly K. 0000-0001-8764-0358 kyates@usgs.gov","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":420,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"kyates@usgs.gov","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":570862,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034129,"text":"70034129 - 2011 - Geochemical heterogeneity in a small, stratigraphically complex moraine aquifer system (Ontario, Canada): Interpretation of flow and recharge using multiple geochemical parameters","interactions":[],"lastModifiedDate":"2026-01-28T14:29:34.295182","indexId":"70034129","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical heterogeneity in a small, stratigraphically complex moraine aquifer system (Ontario, Canada): Interpretation of flow and recharge using multiple geochemical parameters","docAbstract":"<p><span>The Waterloo Moraine is a stratigraphically complex system and is the major water supply to the cities of Kitchener and Waterloo in Ontario, Canada. Despite over 30&nbsp;years of investigation, no attempt has been made to unify existing geochemical data into a single database. A composite view of the moraine geochemistry has been created using the available geochemical information, and a framework created for geochemical data synthesis of other similar flow systems. Regionally, fluid chemistry is highly heterogeneous, with large variations in both water type and total dissolved solids content. Locally, upper aquifer units are affected by nitrate and chloride from fertilizer and road salt. Typical upper-aquifer fluid chemistry is dominated by calcium, magnesium, and bicarbonate, a result of calcite and dolomite dissolution. Evidence also suggests that ion exchange and diffusion from tills and bedrock units accounts for some elevated sodium concentrations. Locally, hydraulic “windows” cross connect upper and lower aquifer units, which are typically separated by a clay till. Lower aquifer units are also affected by dedolomitization, mixing with bedrock water, and locally, upward diffusion of solutes from the bedrock aquifers. A map of areas where aquifer units are geochemically similar was constructed to highlight areas with potential hydraulic windows.</span></p>","language":"English, French","doi":"10.1007/s10040-010-0628-7","issn":"14312174","usgsCitation":"Stotler, R., Frape, S., El Mugammar, H., Johnston, C., Judd-Henrey, I., Harvey, F., Drimmie, R., and Jones, J., 2011, Geochemical heterogeneity in a small, stratigraphically complex moraine aquifer system (Ontario, Canada): Interpretation of flow and recharge using multiple geochemical parameters: Hydrogeology Journal, v. 19, no. 1, p. 101-115, https://doi.org/10.1007/s10040-010-0628-7.","productDescription":"15 p.","startPage":"101","endPage":"115","numberOfPages":"15","costCenters":[],"links":[{"id":244770,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-07-07","publicationStatus":"PW","scienceBaseUri":"505a1641e4b0c8380cd550ea","contributors":{"authors":[{"text":"Stotler, R.L.","contributorId":39596,"corporation":false,"usgs":true,"family":"Stotler","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":444234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frape, S.K.","contributorId":105335,"corporation":false,"usgs":true,"family":"Frape","given":"S.K.","affiliations":[],"preferred":false,"id":444239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"El Mugammar, H.T.","contributorId":84191,"corporation":false,"usgs":true,"family":"El Mugammar","given":"H.T.","email":"","affiliations":[],"preferred":false,"id":444236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnston, C.","contributorId":92892,"corporation":false,"usgs":true,"family":"Johnston","given":"C.","email":"","affiliations":[],"preferred":false,"id":444237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Judd-Henrey, I.","contributorId":28457,"corporation":false,"usgs":true,"family":"Judd-Henrey","given":"I.","email":"","affiliations":[],"preferred":false,"id":444233,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harvey, F.E.","contributorId":46161,"corporation":false,"usgs":true,"family":"Harvey","given":"F.E.","email":"","affiliations":[],"preferred":false,"id":444235,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Drimmie, R.","contributorId":16679,"corporation":false,"usgs":true,"family":"Drimmie","given":"R.","affiliations":[],"preferred":false,"id":444232,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jones, J.P.","contributorId":101093,"corporation":false,"usgs":true,"family":"Jones","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":444238,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70136550,"text":"70136550 - 2011 - Comparative phylogeography of a coevolved community: Concerted population expansions in Joshua trees and four yucca moths","interactions":[],"lastModifiedDate":"2025-05-14T14:00:13.686015","indexId":"70136550","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Comparative phylogeography of a coevolved community: Concerted population expansions in Joshua trees and four yucca moths","docAbstract":"<p><span>Comparative phylogeographic studies have had mixed success in identifying common phylogeographic patterns among co-distributed organisms. Whereas some have found broadly similar patterns across a diverse array of taxa, others have found that the histories of different species are more idiosyncratic than congruent. The variation in the results of comparative phylogeographic studies could indicate that the extent to which sympatrically-distributed organisms share common biogeographic histories varies depending on the strength and specificity of ecological interactions between them. To test this hypothesis, we examined demographic and phylogeographic patterns in a highly specialized, coevolved community – Joshua trees (</span><i>Yucca brevifolia</i><span>) and their associated yucca moths. This tightly-integrated, mutually interdependent community is known to have experienced significant range changes at the end of the last glacial period, so there is a strong&nbsp;</span><i>a priori</i><span>&nbsp;expectation that these organisms will show common signatures of demographic and distributional changes over time. Using a database of &gt;5000 GPS records for Joshua trees, and multi-locus DNA sequence data from the Joshua tree and four species of yucca moth, we combined paleaodistribution modeling with coalescent-based analyses of demographic and phylgeographic history. We extensively evaluated the power of our methods to infer past population size and distributional changes by evaluating the effect of different inference procedures on our results, comparing our palaeodistribution models to Pleistocene-aged packrat midden records, and simulating DNA sequence data under a variety of alternative demographic histories. Together the results indicate that these organisms have shared a common history of population expansion, and that these expansions were broadly coincident in time. However, contrary to our expectations, none of our analyses indicated significant range or population size reductions at the end of the last glacial period, and the inferred demographic changes substantially predate Holocene climate changes.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0025628","usgsCitation":"Smith, C.I., Tank, S., Godsoe, W., Levenick, J., Strand, E., Esque, T., and Pellmyr, O., 2011, Comparative phylogeography of a coevolved community: Concerted population expansions in Joshua trees and four yucca moths: PLoS ONE, v. 6, no. 10, e25628: 18 p., https://doi.org/10.1371/journal.pone.0025628.","productDescription":"e25628: 18 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-015534","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":475089,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0025628","text":"Publisher Index Page"},{"id":296979,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"10","noUsgsAuthors":false,"publicationDate":"2011-10-18","publicationStatus":"PW","scienceBaseUri":"54dd2b61e4b08de9379b3358","contributors":{"authors":[{"text":"Smith, Christopher Irwin","contributorId":131173,"corporation":false,"usgs":false,"family":"Smith","given":"Christopher","email":"","middleInitial":"Irwin","affiliations":[{"id":7268,"text":"Willamette University","active":true,"usgs":false}],"preferred":false,"id":537537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tank, Shantel","contributorId":131174,"corporation":false,"usgs":false,"family":"Tank","given":"Shantel","email":"","affiliations":[{"id":6711,"text":"University of Idaho, Moscow ID","active":true,"usgs":false}],"preferred":false,"id":537538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godsoe, William","contributorId":131175,"corporation":false,"usgs":false,"family":"Godsoe","given":"William","email":"","affiliations":[{"id":6711,"text":"University of Idaho, Moscow ID","active":true,"usgs":false}],"preferred":false,"id":537539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Levenick, Jim","contributorId":131176,"corporation":false,"usgs":false,"family":"Levenick","given":"Jim","email":"","affiliations":[{"id":7268,"text":"Willamette University","active":true,"usgs":false}],"preferred":false,"id":537540,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Strand, Eva","contributorId":82611,"corporation":false,"usgs":false,"family":"Strand","given":"Eva","affiliations":[{"id":6711,"text":"University of Idaho, Moscow ID","active":true,"usgs":false}],"preferred":false,"id":537541,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Esque, Todd C. tesque@usgs.gov","contributorId":127766,"corporation":false,"usgs":true,"family":"Esque","given":"Todd C.","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":537536,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pellmyr, Olle","contributorId":131177,"corporation":false,"usgs":false,"family":"Pellmyr","given":"Olle","email":"","affiliations":[{"id":6711,"text":"University of Idaho, Moscow ID","active":true,"usgs":false}],"preferred":false,"id":537542,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70036485,"text":"70036485 - 2011 - Estimation of mussel population response to hydrologic alteration in a southeastern U.S. stream","interactions":[],"lastModifiedDate":"2021-01-08T18:43:19.217828","indexId":"70036485","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimation of mussel population response to hydrologic alteration in a southeastern U.S. stream","docAbstract":"<p><span>The southeastern United States has experienced severe, recurrent drought, rapid human population growth, and increasing agricultural irrigation during recent decades, resulting in greater demand for the water resources. During the same time period, freshwater mussels (</span><i>Unioniformes</i><span>) in the region have experienced substantial population declines. Consequently, there is growing interest in determining how mussel population declines are related to activities associated with water resource development. Determining the causes of mussel population declines requires, in part, an understanding of the factors influencing mussel population dynamics. We developed Pradel reverse-time, tag-recapture models to estimate survival, recruitment, and population growth rates for three federally endangered mussel species in the Apalachicola–Chattahoochee–Flint River Basin, Georgia. The models were parameterized using mussel tag-recapture data collected over five consecutive years from Sawhatchee Creek, located in southwestern Georgia. Model estimates indicated that mussel survival was strongly and negatively related to high flows during the summer, whereas recruitment was strongly and positively related to flows during the spring and summer. Using these models, we simulated mussel population dynamics under historic (1940–1969) and current (1980–2008) flow regimes and under increasing levels of water use to evaluate the relative effectiveness of alternative minimum flow regulations. The simulations indicated that the probability of simulated mussel population extinction was at least 8 times greater under current hydrologic regimes. In addition, simulations of mussel extinction under varying levels of water use indicated that the relative risk of extinction increased with increased water use across a range of minimum flow regulations. The simulation results also indicated that our estimates of the effects of water use on mussel extinction were influenced by the assumptions about the dynamics of the system, highlighting the need for further study of mussel population dynamics.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s00267-011-9688-2","issn":"0364152X","usgsCitation":"Peterson, J., Wisniewski, J., Shea, C., and Rhett, J.C., 2011, Estimation of mussel population response to hydrologic alteration in a southeastern U.S. stream: Environmental Management, v. 48, no. 1, p. 109-122, https://doi.org/10.1007/s00267-011-9688-2.","productDescription":"14 p.","startPage":"109","endPage":"122","ipdsId":"IP-026955","costCenters":[],"links":[{"id":246353,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218353,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00267-011-9688-2"}],"country":"United States","state":"Georgia","otherGeospatial":"Sawhatchee Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.891357421875,\n              30.69933500437198\n            ],\n            [\n              -84.53979492187499,\n              30.704058230919504\n            ],\n            [\n              -84.48486328124999,\n              31.04822792454978\n            ],\n            [\n              -85.0396728515625,\n              31.024694128525137\n            ],\n            [\n              -84.979248046875,\n              30.817346256492073\n            ],\n            [\n              -84.9407958984375,\n              30.685163937659564\n            ],\n            [\n              -84.891357421875,\n              30.69933500437198\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"48","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-05-12","publicationStatus":"PW","scienceBaseUri":"505a0b99e4b0c8380cd527bd","contributors":{"authors":[{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":456367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wisniewski, J.M.","contributorId":65688,"corporation":false,"usgs":true,"family":"Wisniewski","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":456369,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shea, C.P.","contributorId":92885,"corporation":false,"usgs":true,"family":"Shea","given":"C.P.","email":"","affiliations":[],"preferred":false,"id":456370,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rhett, Jackson C.","contributorId":54054,"corporation":false,"usgs":true,"family":"Rhett","given":"Jackson","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":456368,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70156851,"text":"70156851 - 2011 - Ground-Motion Prediction Equations (GMPEs) from a global dataset: The PEER NGA equations","interactions":[],"lastModifiedDate":"2021-10-22T14:05:29.512133","indexId":"70156851","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Ground-Motion Prediction Equations (GMPEs) from a global dataset: The PEER NGA equations","docAbstract":"<p><span>The PEER NGA ground-motion prediction equations (GMPEs) were derived by five developer teams over several years, resulting in five sets of GMPEs. The teams used various subsets of a global database of ground motions and metadata from shallow earthquakes in tectonically active regions in the development of the equations. Since their publication, the predicted motions from these GMPEs have been compared with data from various parts of the world – data that largely were not used in the development of the GMPEs. The comparisons suggest that the NGA GMPEs are applicable globally for shallow earthquakes in tectonically active regions.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Earthquake Data in Engineering Seismology: Predictive Models, Data Management, and Networks","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","publisherLocation":"Dordrecht, NY","doi":"10.1007/978-94-007-0152-6_1","usgsCitation":"Boore, D.M., 2011, Ground-Motion Prediction Equations (GMPEs) from a global dataset: The PEER NGA equations, chap. <i>of</i> Earthquake Data in Engineering Seismology: Predictive Models, Data Management, and Networks, p. 3-15, https://doi.org/10.1007/978-94-007-0152-6_1.","productDescription":"13 p.","startPage":"3","endPage":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-019122","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":307751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2010-11-30","publicationStatus":"PW","scienceBaseUri":"560bb6b3e4b058f706e53cbc","contributors":{"editors":[{"text":"Akkar, Sinan","contributorId":39175,"corporation":false,"usgs":true,"family":"Akkar","given":"Sinan","email":"","affiliations":[],"preferred":false,"id":570832,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Gulkan, Polat","contributorId":78532,"corporation":false,"usgs":true,"family":"Gulkan","given":"Polat","email":"","affiliations":[],"preferred":false,"id":570833,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"van Eck, Torild","contributorId":147238,"corporation":false,"usgs":false,"family":"van Eck","given":"Torild","email":"","affiliations":[],"preferred":false,"id":570834,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Boore, David M. boore@usgs.gov","contributorId":2509,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":570831,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70034256,"text":"70034256 - 2011 - Verifying a computational method for predicting extreme ground motion","interactions":[],"lastModifiedDate":"2017-11-27T13:06:40","indexId":"70034256","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Verifying a computational method for predicting extreme ground motion","docAbstract":"In situations where seismological data is rare or nonexistent, computer simulations may be used to predict ground motions caused by future earthquakes. This is particularly practical in the case of extreme ground motions, where engineers of special buildings may need to design for an event that has not been historically observed but which may occur in the far-distant future. Once the simulations have been performed, however, they still need to be tested. The SCEC-USGS dynamic rupture code verification exercise provides a testing mechanism for simulations that involve spontaneous earthquake rupture. We have performed this examination for the specific computer code that was used to predict maximum possible ground motion near Yucca Mountain. Our SCEC-USGS group exercises have demonstrated that the specific computer code that was used for the Yucca Mountain simulations produces similar results to those produced by other computer codes when tackling the same science problem. We also found that the 3D ground motion simulations produced smaller ground motions than the 2D simulations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Seismological Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/gssrl.82.5.638","issn":"08950695","usgsCitation":"Harris, R., Barall, M., Andrews, D., Duan, B., Ma, S., Dunham, E., Gabriel, A., Kaneko, Y., Kase, Y., Aagaard, B.T., Oglesby, D., Ampuero, J., Hanks, T.C., and Abrahamson, N., 2011, Verifying a computational method for predicting extreme ground motion: Seismological Research Letters, v. 82, no. 5, p. 638-644, https://doi.org/10.1785/gssrl.82.5.638.","startPage":"638","endPage":"644","numberOfPages":"7","costCenters":[],"links":[{"id":475234,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20111004-120309692","text":"External Repository"},{"id":244618,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216732,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/gssrl.82.5.638"}],"volume":"82","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-09-02","publicationStatus":"PW","scienceBaseUri":"505bc223e4b08c986b32a94c","contributors":{"authors":[{"text":"Harris, R.A. 0000-0002-9247-0768","orcid":"https://orcid.org/0000-0002-9247-0768","contributorId":41849,"corporation":false,"usgs":true,"family":"Harris","given":"R.A.","affiliations":[],"preferred":false,"id":444937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barall, M.","contributorId":93687,"corporation":false,"usgs":true,"family":"Barall","given":"M.","affiliations":[],"preferred":false,"id":444942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrews, D.J.","contributorId":7416,"corporation":false,"usgs":true,"family":"Andrews","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":444932,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duan, B.","contributorId":98140,"corporation":false,"usgs":true,"family":"Duan","given":"B.","email":"","affiliations":[],"preferred":false,"id":444944,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ma, S.","contributorId":59189,"corporation":false,"usgs":true,"family":"Ma","given":"S.","email":"","affiliations":[],"preferred":false,"id":444939,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dunham, E.M.","contributorId":101951,"corporation":false,"usgs":true,"family":"Dunham","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":444945,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gabriel, A.-A.","contributorId":94558,"corporation":false,"usgs":true,"family":"Gabriel","given":"A.-A.","email":"","affiliations":[],"preferred":false,"id":444943,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kaneko, Y.","contributorId":44007,"corporation":false,"usgs":true,"family":"Kaneko","given":"Y.","email":"","affiliations":[],"preferred":false,"id":444938,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kase, Y.","contributorId":90134,"corporation":false,"usgs":true,"family":"Kase","given":"Y.","email":"","affiliations":[],"preferred":false,"id":444941,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Aagaard, Brad T. 0000-0002-8795-9833 baagaard@usgs.gov","orcid":"https://orcid.org/0000-0002-8795-9833","contributorId":192869,"corporation":false,"usgs":true,"family":"Aagaard","given":"Brad","email":"baagaard@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":444934,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Oglesby, D. D.","contributorId":23315,"corporation":false,"usgs":true,"family":"Oglesby","given":"D. D.","affiliations":[],"preferred":false,"id":444933,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ampuero, J.-P.","contributorId":28801,"corporation":false,"usgs":true,"family":"Ampuero","given":"J.-P.","affiliations":[],"preferred":false,"id":444935,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hanks, Thomas C.","contributorId":35763,"corporation":false,"usgs":true,"family":"Hanks","given":"Thomas","middleInitial":"C.","affiliations":[],"preferred":false,"id":444936,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Abrahamson, N.","contributorId":60358,"corporation":false,"usgs":true,"family":"Abrahamson","given":"N.","affiliations":[],"preferred":false,"id":444940,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70032670,"text":"70032670 - 2011 - Estimating basin scale evapotranspiration (ET) by water balance and remote sensing methods","interactions":[],"lastModifiedDate":"2013-04-15T16:06:49","indexId":"70032670","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Estimating basin scale evapotranspiration (ET) by water balance and remote sensing methods","docAbstract":"Evapotranspiration (ET) is an important hydrological process that can be studied and estimated at multiple spatial scales ranging from a leaf to a river basin. We present a review of methods in estimating basin scale ET and its applications in understanding basin water balance dynamics. The review focuses on two aspects of ET: (i) how the basin scale water balance approach is used to estimate ET; and (ii) how ‘direct’ measurement and modelling approaches are used to estimate basin scale ET. Obviously, the basin water balance-based ET requires the availability of good precipitation and discharge data to calculate ET as a residual on longer time scales (annual) where net storage changes are assumed to be negligible. ET estimated from such a basin water balance principle is generally used for validating the performance of ET models. On the other hand, many of the direct estimation methods involve the use of remotely sensed data to estimate spatially explicit ET and use basin-wide averaging to estimate basin scale ET. The direct methods can be grouped into soil moisture balance modelling, satellite-based vegetation index methods, and methods based on satellite land surface temperature measurements that convert potential ET into actual ET using a proportionality relationship. The review also includes the use of complementary ET estimation principles for large area applications. The review identifies the need to compare and evaluate the different ET approaches using standard data sets in basins covering different hydro-climatic regions of the world.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/hyp.8379","issn":"08856087","usgsCitation":"Senay, G., Leake, S., Nagler, P., Artan, G., Dickinson, J., Cordova, J., and Glenn, E.P., 2011, Estimating basin scale evapotranspiration (ET) by water balance and remote sensing methods: Hydrological Processes, v. 25, no. 26, p. 4037-4049, https://doi.org/10.1002/hyp.8379.","productDescription":"13 p.","startPage":"4037","endPage":"4049","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":241693,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214009,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.8379"}],"volume":"25","issue":"26","noUsgsAuthors":false,"publicationDate":"2011-12-14","publicationStatus":"PW","scienceBaseUri":"505a0b0ee4b0c8380cd52540","contributors":{"authors":[{"text":"Senay, G.B. 0000-0002-8810-8539","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":17741,"corporation":false,"usgs":true,"family":"Senay","given":"G.B.","affiliations":[],"preferred":false,"id":437374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leake, S.","contributorId":90551,"corporation":false,"usgs":true,"family":"Leake","given":"S.","affiliations":[],"preferred":false,"id":437379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nagler, P.L. 0000-0003-0674-103X","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":29937,"corporation":false,"usgs":true,"family":"Nagler","given":"P.L.","affiliations":[],"preferred":false,"id":437377,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Artan, G.","contributorId":27262,"corporation":false,"usgs":true,"family":"Artan","given":"G.","affiliations":[],"preferred":false,"id":437376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dickinson, J.","contributorId":78562,"corporation":false,"usgs":true,"family":"Dickinson","given":"J.","email":"","affiliations":[],"preferred":false,"id":437378,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cordova, J.T.","contributorId":7511,"corporation":false,"usgs":true,"family":"Cordova","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":437373,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Glenn, E. P.","contributorId":24463,"corporation":false,"usgs":false,"family":"Glenn","given":"E.","middleInitial":"P.","affiliations":[],"preferred":false,"id":437375,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70036164,"text":"70036164 - 2011 - Random variability explains apparent global clustering of large earthquakes","interactions":[],"lastModifiedDate":"2013-03-04T13:37:26","indexId":"70036164","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Random variability explains apparent global clustering of large earthquakes","docAbstract":"The occurrence of 5 Mw ≥ 8.5 earthquakes since 2004 has created a debate over whether or not we are in a global cluster of large earthquakes, temporarily raising risks above long-term levels. I use three classes of statistical tests to determine if the record of M ≥ 7 earthquakes since 1900 can reject a null hypothesis of independent random events with a constant rate plus localized aftershock sequences. The data cannot reject this null hypothesis. Thus, the temporal distribution of large global earthquakes is well-described by a random process, plus localized aftershocks, and apparent clustering is due to random variability. Therefore the risk of future events has not increased, except within ongoing aftershock sequences, and should be estimated from the longest possible record of events.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1029/2011GL049443","issn":"00948276","usgsCitation":"Michael, A., 2011, Random variability explains apparent global clustering of large earthquakes: Geophysical Research Letters, v. 38, no. 21, L21301, https://doi.org/10.1029/2011GL049443.","productDescription":"L21301","costCenters":[],"links":[{"id":475449,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011gl049443","text":"Publisher Index Page"},{"id":218274,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011GL049443"},{"id":246271,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"21","noUsgsAuthors":false,"publicationDate":"2011-11-02","publicationStatus":"PW","scienceBaseUri":"505a9496e4b0c8380cd814d1","contributors":{"authors":[{"text":"Michael, A.J. 0000-0002-2403-5019","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":52192,"corporation":false,"usgs":true,"family":"Michael","given":"A.J.","affiliations":[],"preferred":false,"id":454522,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70033970,"text":"70033970 - 2011 - Classification of MEC with the ALLTEM at Camp Stanley, Texas","interactions":[],"lastModifiedDate":"2012-03-12T17:21:47","indexId":"70033970","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3317,"text":"SEG Technical Program Expanded Abstracts","active":true,"publicationSubtype":{"id":10}},"title":"Classification of MEC with the ALLTEM at Camp Stanley, Texas","docAbstract":"The ALLTEM is a multi-axis electromagnetic induction system designed for unexploded ordnance UXO applications. It uses a continuous triangle-wave excitation and provides good late-time signal-to-noise ratio SNR especially for ferrous targets. Multi-axis transmitter Tx and receiver Rx systems such as ALLTEM provide a richer data set from which to invert for the target parameters required to distinguish between clutter and UXO. Inversions of field data acquired between 2006 and 2010 over the Army's UXO Standardized Test sites at the Yuma Proving Ground YPG in Arizona and at the Aberdeen Proving Ground APG in Maryland have produced reasonable and generally repeatable results for many UXO items buried at different orientations and depths. In February-March 2011 ALLTEM data was acquired at two locations on the Camp Stanley Storage Activity CSSA just north of San Antonio, Texas. Camp Stanley is used to store munitions as well as test, fire, and overhaul munitions components. Site B-20 is an open burn/open detonation OBOD area and Site B-27 consists of narrow trenches blasted into limestone containing buried range and munitions debris and possibly MEC. The processing, analysis, and classification techniques developed at the controlled environments of YPG and APG have been applied to these two \"live\" sites at Camp Stanley. ALLTEM data analysis includes both classical numerical inversion of data from each anomaly and clustering of the raw data by means of a self-organizing map SOM via generalized neural network algorithms. Final classification consists of an integration of both the numerical and SOM results. ?? 2011 Society of Exploration Geophysicists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"SEG Technical Program Expanded Abstracts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1190/1.3627456","issn":"10523812","usgsCitation":"Asch, T., Moulton, C., and Smith, D., 2011, Classification of MEC with the ALLTEM at Camp Stanley, Texas: SEG Technical Program Expanded Abstracts, v. 30, no. 1, p. 1363-1367, https://doi.org/10.1190/1.3627456.","startPage":"1363","endPage":"1367","numberOfPages":"5","costCenters":[],"links":[{"id":216860,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/1.3627456"},{"id":244758,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-05-25","publicationStatus":"PW","scienceBaseUri":"5059f618e4b0c8380cd4c5b7","contributors":{"authors":[{"text":"Asch, T.","contributorId":95709,"corporation":false,"usgs":true,"family":"Asch","given":"T.","email":"","affiliations":[],"preferred":false,"id":443459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moulton, C.","contributorId":24198,"corporation":false,"usgs":true,"family":"Moulton","given":"C.","email":"","affiliations":[],"preferred":false,"id":443457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, D.V.","contributorId":31143,"corporation":false,"usgs":true,"family":"Smith","given":"D.V.","email":"","affiliations":[],"preferred":false,"id":443458,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70033981,"text":"70033981 - 2011 - Multi-channel analysis of surface waves MASW of models with high shear-wave velocity contrast","interactions":[],"lastModifiedDate":"2012-03-12T17:21:48","indexId":"70033981","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3317,"text":"SEG Technical Program Expanded Abstracts","active":true,"publicationSubtype":{"id":10}},"title":"Multi-channel analysis of surface waves MASW of models with high shear-wave velocity contrast","docAbstract":"We use the multi-channel analysis of surface waves MASW method to analyze synthetic seismic data calculated using models with high shear-wave velocity Vs contrast. The MASW dispersion-curve images of the Rayleigh wave are obtained using various sets of source-offset and spread-size configurations from the synthetic seismic data and compared with the theoretically calculated fundamental- and higher-mode dispersion-curves. Such tests showed that most of the dispersion-curve images are dominated by higher-mode energy at the low frequencies, especially when analyzing data from long receiver offsets and thus significantly divert from numerically expected dispersion-curve trends, which can lead to significant Vs overestimation. Further analysis showed that using data with relatively short spread lengths and source offsets can image the desired fundamental-mode of the Rayleigh wave that matches the numerically expected dispersion-curve pattern. As a result, it was concluded that it might be possible to avoid higher-mode contamination at low frequencies at sites with high Vs contrast by appropriate selection of spread size and seismic source offset. ?? 2011 Society of Exploration Geophysicists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"SEG Technical Program Expanded Abstracts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1190/1.3627461","issn":"10523812","usgsCitation":"Ivanov, J., Miller, R., Peterie, S., Zeng, C., Xia, J., and Schwenk, T., 2011, Multi-channel analysis of surface waves MASW of models with high shear-wave velocity contrast: SEG Technical Program Expanded Abstracts, v. 30, no. 1, p. 1384-1390, https://doi.org/10.1190/1.3627461.","startPage":"1384","endPage":"1390","numberOfPages":"7","costCenters":[],"links":[{"id":216535,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/1.3627461"},{"id":244412,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-08-08","publicationStatus":"PW","scienceBaseUri":"505a5f8fe4b0c8380cd71017","contributors":{"authors":[{"text":"Ivanov, J.","contributorId":107068,"corporation":false,"usgs":true,"family":"Ivanov","given":"J.","email":"","affiliations":[],"preferred":false,"id":443498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, R. D.","contributorId":92693,"corporation":false,"usgs":true,"family":"Miller","given":"R. D.","affiliations":[],"preferred":false,"id":443496,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterie, S.","contributorId":67753,"corporation":false,"usgs":true,"family":"Peterie","given":"S.","email":"","affiliations":[],"preferred":false,"id":443495,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zeng, C.","contributorId":94519,"corporation":false,"usgs":true,"family":"Zeng","given":"C.","email":"","affiliations":[],"preferred":false,"id":443497,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xia, J.","contributorId":63513,"corporation":false,"usgs":true,"family":"Xia","given":"J.","email":"","affiliations":[],"preferred":false,"id":443494,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schwenk, T.","contributorId":33949,"corporation":false,"usgs":true,"family":"Schwenk","given":"T.","email":"","affiliations":[],"preferred":false,"id":443493,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70033992,"text":"70033992 - 2011 - Experimental determination of the phase boundary between kornelite and pentahydrated ferric sulfate at 0.1MPa","interactions":[],"lastModifiedDate":"2012-03-12T17:21:44","indexId":"70033992","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Experimental determination of the phase boundary between kornelite and pentahydrated ferric sulfate at 0.1MPa","docAbstract":"Recent findings of various ferric sulfates on Mars emphasize the importance of understanding the fundamental properties of ferric sulfates at temperatures relevant to that of Martian surface. In this study, the phase boundary between kornelite (Fe2(SO4)3.7H2O) and pentahydrated ferric sulfate (Fe2(SO4)3.5H2O) was experimentally determined using the humidity-buffer technique together with gravimetric measurements and Raman spectroscopy at 0.1MPa in the 36-56??C temperature range. Through the thermodynamic analysis of our experimental data, the enthalpy change (-290.8??0.3kJ/mol) and the Gibbs free energy change (-238.82??0.02kJ/mol) for each water molecule of crystallization in the rehydration of pentahydrated ferric sulfate to kornelite were obtained. ?? 2011 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.chemgeo.2011.03.014","issn":"00092541","usgsCitation":"Kong, W., Wang, A., and Chou, I., 2011, Experimental determination of the phase boundary between kornelite and pentahydrated ferric sulfate at 0.1MPa: Chemical Geology, v. 284, no. 3-4, p. 333-338, https://doi.org/10.1016/j.chemgeo.2011.03.014.","startPage":"333","endPage":"338","numberOfPages":"6","costCenters":[],"links":[{"id":216713,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2011.03.014"},{"id":244599,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"284","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0dc5e4b0c8380cd531b3","contributors":{"authors":[{"text":"Kong, W.G.","contributorId":72229,"corporation":false,"usgs":true,"family":"Kong","given":"W.G.","email":"","affiliations":[],"preferred":false,"id":443547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, A.","contributorId":46735,"corporation":false,"usgs":true,"family":"Wang","given":"A.","email":"","affiliations":[],"preferred":false,"id":443546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chou, I.-M. 0000-0001-5233-6479","orcid":"https://orcid.org/0000-0001-5233-6479","contributorId":44283,"corporation":false,"usgs":true,"family":"Chou","given":"I.-M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":443545,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034017,"text":"70034017 - 2011 - Vibrational, X-ray absorption, and Mössbauer spectra of sulfate minerals from the weathered massive sulfide deposit at Iron Mountain, California","interactions":[],"lastModifiedDate":"2018-03-05T17:10:44","indexId":"70034017","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Vibrational, X-ray absorption, and Mössbauer spectra of sulfate minerals from the weathered massive sulfide deposit at Iron Mountain, California","docAbstract":"The Iron Mountain Mine Superfund site in California is a prime example of an acid mine drainage (AMD) system with well developed assemblages of sulfate minerals typical for such settings. Here we present and discuss the vibrational (infrared), X-ray absorption, and M??ssbauer spectra of a number of these phases, augmented by spectra of a few synthetic sulfates related to the AMD phases. The minerals and related phases studied in this work are (in order of increasing Fe2O3/FeO): szomolnokite, rozenite, siderotil, halotrichite, r??merite, voltaite, copiapite, monoclinic Fe2(SO4)3, Fe2(SO4)3??5H2O, kornelite, coquimbite, Fe(SO4)(OH), jarosite and rhomboclase. Fourier transform infrared spectra in the region 750-4000cm-1 are presented for all studied phases. Position of the FTIR bands is discussed in terms of the vibrations of sulfate ions, hydroxyl groups, and water molecules. Sulfur K-edge X-ray absorption near-edge structure (XANES) spectra were collected for selected samples. The feature of greatest interest is a series of weak pre-edge peaks whose position is determined by the number of bridging oxygen atoms between Fe3+ octahedra and sulfate tetrahedra. M??ssbauer spectra of selected samples were obtained at room temperature and 80K for ferric minerals jarosite and rhomboclase and mixed ferric-ferrous minerals r??merite, voltaite, and copiapite. Values of Fe2+/[Fe2++Fe3+] determined by M??ssbauer spectroscopy agree well with those determined by wet chemical analysis. The data presented here can be used as standards in spectroscopic work where spectra of well-characterized compounds are required to identify complex mixtures of minerals and related phases. ?? 2011 Elsevier B.V.","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2011.03.008","issn":"00092541","usgsCitation":"Majzlan, J., Alpers, C.N., Bender Koch, C., McCleskey, R.B., Myneni, S.B., and Neil, J.M., 2011, Vibrational, X-ray absorption, and Mössbauer spectra of sulfate minerals from the weathered massive sulfide deposit at Iron Mountain, California: Chemical Geology, v. 284, no. 3-4, p. 296-305, https://doi.org/10.1016/j.chemgeo.2011.03.008.","productDescription":"10 p.","startPage":"296","endPage":"305","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":244508,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216627,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2011.03.008"}],"country":"United States","state":"California","otherGeospatial":"Iron Mountain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.26208496093751,\n              37.431250501793585\n            ],\n            [\n              -119.26208496093751,\n              37.642509774448754\n            ],\n            [\n              -118.91876220703126,\n              37.642509774448754\n            ],\n            [\n              -118.91876220703126,\n              37.431250501793585\n            ],\n            [\n              -119.26208496093751,\n              37.431250501793585\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"284","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc256e4b08c986b32aa9d","contributors":{"authors":[{"text":"Majzlan, Juraj","contributorId":127677,"corporation":false,"usgs":false,"family":"Majzlan","given":"Juraj","email":"","affiliations":[{"id":7107,"text":"Univ. of Freiburg, Germany","active":true,"usgs":false}],"preferred":false,"id":443667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":443670,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bender Koch, Christian","contributorId":127676,"corporation":false,"usgs":false,"family":"Bender Koch","given":"Christian","email":"","affiliations":[{"id":7106,"text":"Royal Vet. and Ag. Univ, Denmark","active":true,"usgs":false}],"preferred":false,"id":443668,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":443665,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Myneni, Satish B.C.","contributorId":127678,"corporation":false,"usgs":false,"family":"Myneni","given":"Satish","email":"","middleInitial":"B.C.","affiliations":[{"id":7108,"text":"Princeton Univ.","active":true,"usgs":false}],"preferred":false,"id":443669,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Neil, John M.","contributorId":13957,"corporation":false,"usgs":false,"family":"Neil","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":443666,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034020,"text":"70034020 - 2011 - Spatiotemporal distribution and population characteristicsof a nonnative lake trout population, with implications for suppression","interactions":[],"lastModifiedDate":"2012-03-12T17:21:44","indexId":"70034020","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal distribution and population characteristicsof a nonnative lake trout population, with implications for suppression","docAbstract":"We evaluated the distribution and population characteristics of nonnative lake trout Salvelinus namaycush in Lake McDonald,Glacier National Park,Montana, to provide biological data in support of a potential suppression program. Using ultrasonic telemetry, we identified spatial and temporal distribution patterns by tracking 36 adult lake trout (1,137 relocations). Lake trout rarely occupied depths greater than 30 m and were commonly located in the upper hypolimnion directly below the metalimnion during thermal stratification. After breakdown of themetalimnion in the fall, lake trout primarily aggregated at two spawning sites. Lake trout population characteristics were similar to those of populations within the species' native range. However, lake trout in Lake McDonald exhibited lower total annual mortality (13.2%), latermaturity (age 12 formales, age 15 for females), lower body condition, and slower growth than are typically observed in the southern extent of their range. These results will be useful in determining where to target suppression activities (e.g., gillnetting, trap-netting, or electrofishing) and in evaluating responses to suppression efforts. Similar evaluations of lake trout distribution patterns and population characteristics are recommended to increase the likelihood that suppression programs will succeed. ?? American Fisheries Society 2011.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1080/02755947.2011.562765","issn":"02755947","usgsCitation":"Dux, A., Guy, C., and Fredenberg, W., 2011, Spatiotemporal distribution and population characteristicsof a nonnative lake trout population, with implications for suppression: North American Journal of Fisheries Management, v. 31, no. 2, p. 187-196, https://doi.org/10.1080/02755947.2011.562765.","startPage":"187","endPage":"196","numberOfPages":"10","costCenters":[],"links":[{"id":216655,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2011.562765"},{"id":244539,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-04-12","publicationStatus":"PW","scienceBaseUri":"505b94c9e4b08c986b31ac4d","contributors":{"authors":[{"text":"Dux, A.M.","contributorId":74598,"corporation":false,"usgs":true,"family":"Dux","given":"A.M.","affiliations":[],"preferred":false,"id":443683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, C.S.","contributorId":59160,"corporation":false,"usgs":true,"family":"Guy","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":443682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fredenberg, W.A.","contributorId":53196,"corporation":false,"usgs":true,"family":"Fredenberg","given":"W.A.","email":"","affiliations":[],"preferred":false,"id":443681,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034023,"text":"70034023 - 2011 - Projected changes to growth and mortality of Hawaiian corals over the next 100 years","interactions":[],"lastModifiedDate":"2012-03-12T17:21:44","indexId":"70034023","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Projected changes to growth and mortality of Hawaiian corals over the next 100 years","docAbstract":"Background: Recent reviews suggest that the warming and acidification of ocean surface waters predicated by most accepted climate projections will lead to mass mortality and declining calcification rates of reef-building corals. This study investigates the use of modeling techniques to quantitatively examine rates of coral cover change due to these effects. Methodology/Principal Findings: Broad-scale probabilities of change in shallow-water scleractinian coral cover in the Hawaiian Archipelago for years 2000-2099 A.D. were calculated assuming a single middle-of-the-road greenhouse gas emissions scenario. These projections were based on ensemble calculations of a growth and mortality model that used sea surface temperature (SST), atmospheric carbon dioxide (CO2), observed coral growth (calcification) rates, and observed mortality linked to mass coral bleaching episodes as inputs. SST and CO2 predictions were derived from the World Climate Research Programme (WCRP) multi-model dataset, statistically downscaled with historical data. Conclusions/Significance: The model calculations illustrate a practical approach to systematic evaluation of climate change effects on corals, and also show the effect of uncertainties in current climate predictions and in coral adaptation capabilities on estimated changes in coral cover. Despite these large uncertainties, this analysis quantitatively illustrates that a large decline in coral cover is highly likely in the 21st Century, but that there are significant spatial and temporal variances in outcomes, even under a single climate change scenario.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1371/journal.pone.0018038","issn":"19326203","usgsCitation":"Hoeke, R., Jokiel, P., Buddemeier, R., and Brainard, R., 2011, Projected changes to growth and mortality of Hawaiian corals over the next 100 years: PLoS ONE, v. 6, no. 3, https://doi.org/10.1371/journal.pone.0018038.","costCenters":[],"links":[{"id":487162,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0018038","text":"Publisher Index Page"},{"id":244601,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216715,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0018038"}],"volume":"6","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-03-29","publicationStatus":"PW","scienceBaseUri":"505a8eefe4b0c8380cd7f4a0","contributors":{"authors":[{"text":"Hoeke, R.K.","contributorId":26544,"corporation":false,"usgs":true,"family":"Hoeke","given":"R.K.","email":"","affiliations":[],"preferred":false,"id":443690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jokiel, P. L.","contributorId":80367,"corporation":false,"usgs":true,"family":"Jokiel","given":"P. L.","affiliations":[],"preferred":false,"id":443692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buddemeier, R. W.","contributorId":86492,"corporation":false,"usgs":true,"family":"Buddemeier","given":"R. W.","affiliations":[],"preferred":false,"id":443693,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brainard, R.E.","contributorId":61267,"corporation":false,"usgs":true,"family":"Brainard","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":443691,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034034,"text":"70034034 - 2011 - Factors Controlling Pre-Columbian and Early Historic Maize Productivity in the American Southwest, Part 1: The Southern Colorado Plateau and Rio Grande Regions","interactions":[],"lastModifiedDate":"2012-03-12T17:21:48","indexId":"70034034","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2181,"text":"Journal of Archaeological Method and Theory","active":true,"publicationSubtype":{"id":10}},"title":"Factors Controlling Pre-Columbian and Early Historic Maize Productivity in the American Southwest, Part 1: The Southern Colorado Plateau and Rio Grande Regions","docAbstract":"Maize is the New World's preeminent grain crop and it provided the economic basis for human culture in many regions within the Americas. To flourish, maize needs water, sunlight (heat), and nutrients (e. g., nitrogen). In this paper, climate and soil chemistry data are used to evaluate the potential for dryland (rainon-field) agriculture in the semiarid southeastern Colorado Plateau and Rio Grande regions. Processes that impact maize agriculture such as nitrogen mineralization, infiltration of precipitation, bare soil evaporation, and transpiration are discussed and evaluated. Most of the study area, excepting high-elevation regions, receives sufficient solar radiation to grow maize. The salinities of subsurface soils in the central San Juan Basin are very high and their nitrogen concentrations are very low. In addition, soils of the central San Juan Basin are characterized by pH values that exceed 8.0, which limit the availability of both nitrogen and phosphorous. In general, the San Juan Basin, including Chaco Canyon, is the least promising part of the study area in terms of dryland farming. Calculations of field life, using values of organic nitrogen for the upper 50 cm of soil in the study area, indicate that most of the study area could not support a 10-bushel/acre crop of maize. The concepts, methods, and calculations used to quantify maize productivity in this study are applicable to maize cultivation in other environmental settings across the Americas. ?? 2010 US Government.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Archaeological Method and Theory","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10816-010-9082-z","issn":"10725369","usgsCitation":"Benson, L.V., 2011, Factors Controlling Pre-Columbian and Early Historic Maize Productivity in the American Southwest, Part 1: The Southern Colorado Plateau and Rio Grande Regions: Journal of Archaeological Method and Theory, v. 18, no. 1, p. 1-60, https://doi.org/10.1007/s10816-010-9082-z.","startPage":"1","endPage":"60","numberOfPages":"60","costCenters":[],"links":[{"id":216864,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10816-010-9082-z"},{"id":244762,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-05-18","publicationStatus":"PW","scienceBaseUri":"505a0e97e4b0c8380cd53524","contributors":{"authors":[{"text":"Benson, L. V.","contributorId":50159,"corporation":false,"usgs":true,"family":"Benson","given":"L.","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":443757,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70034045,"text":"70034045 - 2011 - Ground settlement monitoring based on temporarily coherent points between two SAR acquisitions","interactions":[],"lastModifiedDate":"2017-04-06T13:53:51","indexId":"70034045","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Ground settlement monitoring based on temporarily coherent points between two SAR acquisitions","docAbstract":"<p><span>An InSAR analysis approach for identifying and extracting the temporarily coherent points (TCP) that exist between two SAR acquisitions and for determining motions of the TCP is presented for applications such as ground settlement monitoring. TCP are identified based on the spatial characteristics of the range and azimuth offsets of coherent radar scatterers. A method for coregistering TCP based on the offsets of TCP is given to reduce the coregistration errors at TCP. An improved phase unwrapping method based on the minimum cost flow (MCF) algorithm and local Delaunay triangulation is also proposed for sparse TCP data. The proposed algorithms are validated using a test site in Hong Kong. The test results show that the algorithms work satisfactorily for various ground features.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.isprsjprs.2010.10.004","issn":"09242716","usgsCitation":"Zhang, L., Ding, X., and Lu, Z., 2011, Ground settlement monitoring based on temporarily coherent points between two SAR acquisitions: ISPRS Journal of Photogrammetry and Remote Sensing, v. 66, no. 1, p. 146-152, https://doi.org/10.1016/j.isprsjprs.2010.10.004.","productDescription":"7 p.","startPage":"146","endPage":"152","numberOfPages":"7","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":244386,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216509,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.isprsjprs.2010.10.004"}],"volume":"66","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2a9ee4b0c8380cd5b303","contributors":{"authors":[{"text":"Zhang, L.","contributorId":41543,"corporation":false,"usgs":true,"family":"Zhang","given":"L.","email":"","affiliations":[],"preferred":false,"id":443790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ding, X.","contributorId":49990,"corporation":false,"usgs":true,"family":"Ding","given":"X.","email":"","affiliations":[],"preferred":false,"id":443791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lu, Z.","contributorId":106241,"corporation":false,"usgs":true,"family":"Lu","given":"Z.","affiliations":[],"preferred":false,"id":443792,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034054,"text":"70034054 - 2011 - Mercury trends in fish from rivers and lakes in the United States, 1969-2005","interactions":[],"lastModifiedDate":"2020-01-11T10:11:23","indexId":"70034054","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Mercury trends in fish from rivers and lakes in the United States, 1969-2005","docAbstract":"<p><span>A national dataset on concentrations of mercury in fish, compiled mainly from state and federal monitoring programs, was used to evaluate trends in mercury (Hg) in fish from US rivers and lakes. Trends were analyzed on data aggregated by site and by state, using samples of the same fish species and tissue type, and using fish of similar lengths. Site-based trends were evaluated from 1969 to 2005, but focused on a subset of the data from 1969 to 1987. Data aggregated by state were used to evaluate trends in fish Hg concentrations from 1988 to 2005. In addition, the most recent Hg fish data (1996–2005) were compared to wet Hg deposition data from the Mercury Deposition Network (MDN) over the same period. Downward trends in Hg concentrations in fish from data collected during 1969–1987 exceeded upward trends by a ratio of 6 to 1. Declining Hg accumulation rates in sediment and peat cores reported by many studies during the 1970s and 1980s correspond with the period when the most downward trends in fish Hg concentrations occurred. Downward Hg trends in both sediment cores and fish were also consistent with the implementation of stricter regulatory controls of direct releases of Hg to the atmosphere and surface waters during the same period. The southeastern USA had more upward Hg trends in fish than other regions for both site and state aggregated data. Upward Hg trends in fish from the southeastern USA were associated with increases in wet deposition in the region and may be attributed to a greater influence of global atmospheric Hg emissions in the southeastern USA. No significant trends were found in 62% of the fish species from six states from 1996 to 2005. A lack of Hg trends in fish in the more recent data was consistent with the lack of trends in wet Hg deposition at MDN sites and with relatively constant global emissions during the same time period. Although few significant trends were observed in the more recent Hg concentrations in fish, it is anticipated that Hg concentrations in fish will respond to changes in atmospheric Hg deposition, however, the magnitude and timing of the response is uncertain.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10661-010-1504-6","issn":"01676369","usgsCitation":"Chalmers, A., Argue, D., Gay, D., Brigham, M.E., Schmitt, C., and Lorenz, D., 2011, Mercury trends in fish from rivers and lakes in the United States, 1969-2005: Environmental Monitoring and Assessment, v. 175, no. 1-4, p. 175-191, https://doi.org/10.1007/s10661-010-1504-6.","productDescription":"17 p.","startPage":"175","endPage":"191","numberOfPages":"17","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":475106,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-010-1504-6","text":"Publisher Index Page"},{"id":244540,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -126.21093749999999,\n              49.49667452747045\n            ],\n            [\n              -124.98046874999999,\n              46.07323062540835\n            ],\n            [\n              -125.68359374999999,\n              42.032974332441405\n            ],\n            [\n              -125.33203125,\n              39.232253141714885\n            ],\n            [\n              -122.87109375,\n              36.1733569352216\n            ],\n            [\n              -119.53125,\n              33.43144133557529\n            ],\n            [\n              -116.3671875,\n              32.69486597787505\n            ],\n            [\n              -111.4453125,\n              31.50362930577303\n            ],\n            [\n              -106.875,\n              31.653381399664\n            ],\n            [\n              -95.97656249999999,\n              25.005972656239187\n            ],\n            [\n              -95.625,\n              27.68352808378776\n            ],\n            [\n              -92.98828125,\n              29.38217507514529\n            ],\n            [\n              -88.59374999999999,\n              28.613459424004414\n            ],\n            [\n              -88.24218749999999,\n              29.84064389983441\n            ],\n            [\n              -84.90234375,\n              28.613459424004414\n            ],\n            [\n              -80.68359375,\n              24.046463999666567\n            ],\n            [\n              -79.1015625,\n              25.48295117535531\n            ],\n            [\n              -78.92578124999999,\n              30.751277776257812\n            ],\n            [\n              -76.46484375,\n              34.59704151614417\n            ],\n            [\n              -74.70703125,\n              37.020098201368114\n            ],\n            [\n              -73.30078125,\n              38.8225909761771\n            ],\n            [\n              -70.48828125,\n              40.84706035607122\n            ],\n            [\n              -67.5,\n              43.83452678223682\n            ],\n            [\n              -67.5,\n              47.27922900257082\n            ],\n            [\n              -69.78515625,\n              47.27922900257082\n            ],\n            [\n              -75.76171875,\n              45.82879925192134\n            ],\n            [\n              -81.73828125,\n              42.16340342422401\n            ],\n            [\n              -80.85937499999999,\n              45.089035564831036\n            ],\n            [\n              -84.19921875,\n              46.92025531537451\n            ],\n            [\n              -93.8671875,\n              49.38237278700955\n            ],\n            [\n              -126.21093749999999,\n              49.49667452747045\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"175","issue":"1-4","noUsgsAuthors":false,"publicationDate":"2010-06-10","publicationStatus":"PW","scienceBaseUri":"505a5432e4b0c8380cd6ceea","contributors":{"authors":[{"text":"Chalmers, A.T. 0000-0002-5199-8080","orcid":"https://orcid.org/0000-0002-5199-8080","contributorId":63576,"corporation":false,"usgs":true,"family":"Chalmers","given":"A.T.","affiliations":[],"preferred":false,"id":443838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Argue, D.M.","contributorId":38770,"corporation":false,"usgs":true,"family":"Argue","given":"D.M.","affiliations":[],"preferred":false,"id":443835,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gay, D.A.","contributorId":54018,"corporation":false,"usgs":true,"family":"Gay","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":443836,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brigham, M. E.","contributorId":87535,"corporation":false,"usgs":true,"family":"Brigham","given":"M.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":443839,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmitt, C. J. 0000-0001-6804-2360","orcid":"https://orcid.org/0000-0001-6804-2360","contributorId":56339,"corporation":false,"usgs":true,"family":"Schmitt","given":"C. J.","affiliations":[],"preferred":false,"id":443837,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lorenz, D. L.","contributorId":10776,"corporation":false,"usgs":true,"family":"Lorenz","given":"D. L.","affiliations":[],"preferred":false,"id":443834,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034056,"text":"70034056 - 2011 - Modeling routes of chronic wasting disease transmission: Environmental prion persistence promotes deer population decline and extinction","interactions":[],"lastModifiedDate":"2020-01-11T11:28:10","indexId":"70034056","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Modeling routes of chronic wasting disease transmission: Environmental prion persistence promotes deer population decline and extinction","docAbstract":"<p>Chronic wasting disease (CWD) is a fatal disease of deer, elk, and moose transmitted through direct, animal-to-animal contact, and indirectly, via environmental contamination. Considerable attention has been paid to modeling direct transmission, but despite the fact that CWD prions can remain infectious in the environment for years, relatively little information exists about the potential effects of indirect transmission on CWD dynamics. In the present study, we use simulation models to demonstrate how indirect transmission and the duration of environmental prion persistence may affect epidemics of CWD and populations of North American deer. Existing data from Colorado, Wyoming, and Wisconsin's CWD epidemics were used to define plausible short-term outcomes and associated parameter spaces. Resulting long-term outcomes range from relatively low disease prevalence and limited host-population decline to host-population collapse and extinction. Our models suggest that disease prevalence and the severity of population decline is driven by the duration that prions remain infectious in the environment. Despite relatively low epidemic growth rates, the basic reproductive number, R0, may be much larger than expected under the direct-transmission paradigm because the infectious period can vastly exceed the host's life span. High prion persistence is expected to lead to an increasing environmental pool of prions during the early phases (i.e. approximately during the first 50 years) of the epidemic. As a consequence, over this period of time, disease dynamics will become more heavily influenced by indirect transmission, which may explain some of the observed regional differences in age and sex-specific disease patterns. This suggests management interventions, such as culling or vaccination, will become increasingly less effective as CWD epidemics progress.</p>","language":"English","publisher":"Public Library of Science (PLoS)","doi":"10.1371/journal.pone.0019896","issn":"19326203","usgsCitation":"Almberg, E., Cross, P.C., Johnson, C.J., Heisey, D.M., and Richards, B.J., 2011, Modeling routes of chronic wasting disease transmission: Environmental prion persistence promotes deer population decline and extinction: PLoS ONE, v. 6, no. 5, 11 p., https://doi.org/10.1371/journal.pone.0019896.","productDescription":"11 p.","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":475253,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0019896","text":"Publisher Index Page"},{"id":244571,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Wisconsin, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.791015625,\n              42.4639928001706\n            ],\n            [\n              -87.659912109375,\n              42.45588764197166\n            ],\n            [\n              -87.791748046875,\n              43.20517581723733\n            ],\n            [\n              -87.62695312499999,\n              43.874138181474734\n            ],\n            [\n              -87.38525390624999,\n              44.37098696297173\n            ],\n            [\n              -87.33032226562499,\n              44.645208223744035\n            ],\n            [\n              -87.176513671875,\n              44.84029065139799\n            ],\n            [\n              -86.759033203125,\n              45.282617057517406\n            ],\n            [\n              -86.71508789062499,\n              45.42929873257377\n            ],\n            [\n              -86.912841796875,\n              45.4986468234261\n            ],\n            [\n              -87.528076171875,\n              45.13555516012536\n            ],\n            [\n              -87.73681640625,\n              45.9511496866914\n            ],\n            [\n              -90.32958984375,\n              46.63435070293566\n            ],\n            [\n              -90.296630859375,\n              47.137424646293866\n            ],\n            [\n              -90.999755859375,\n              47.100044694025215\n            ],\n            [\n              -91.549072265625,\n              46.90524554642923\n            ],\n            [\n              -92.3291015625,\n              46.830133640447386\n            ],\n            [\n              -92.57080078125,\n              46.17983040759436\n            ],\n            [\n              -93.09814453125,\n              45.706179285330855\n            ],\n            [\n              -92.977294921875,\n              45.30580259943578\n            ],\n            [\n              -92.92236328125,\n              44.78573392716592\n            ],\n            [\n              -92.021484375,\n              44.07969327425713\n            ],\n            [\n              -91.43920898437499,\n              43.5326204268101\n            ],\n            [\n              -91.20849609375,\n              42.706659563510385\n            ],\n            [\n              -90.791015625,\n              42.4639928001706\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.181640625,\n              45.058001435398296\n            ],\n            [\n              -111.22558593749999,\n              40.88029480552824\n            ],\n            [\n              -109.1162109375,\n              40.84706035607122\n            ],\n            [\n              -109.16015624999999,\n              36.77409249464195\n            ],\n            [\n              -101.97509765625,\n              36.89719446989036\n            ],\n            [\n              -101.90917968749999,\n              41.09591205639546\n            ],\n            [\n              -103.95263671874999,\n              41.11246878918086\n            ],\n            [\n              -103.99658203125,\n              45.058001435398296\n            ],\n            [\n              -111.181640625,\n              45.058001435398296\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-05-13","publicationStatus":"PW","scienceBaseUri":"505a5c24e4b0c8380cd6fa86","contributors":{"authors":[{"text":"Almberg, Emily S.","contributorId":101111,"corporation":false,"usgs":true,"family":"Almberg","given":"Emily S.","affiliations":[],"preferred":false,"id":443848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":443845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Christopher J. cjjohnson@usgs.gov","contributorId":3491,"corporation":false,"usgs":true,"family":"Johnson","given":"Christopher","email":"cjjohnson@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":443846,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heisey, Dennis M. dheisey@usgs.gov","contributorId":2455,"corporation":false,"usgs":true,"family":"Heisey","given":"Dennis","email":"dheisey@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":443844,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richards, Bryan J. 0000-0001-9955-2523 brichards@usgs.gov","orcid":"https://orcid.org/0000-0001-9955-2523","contributorId":3533,"corporation":false,"usgs":true,"family":"Richards","given":"Bryan","email":"brichards@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":443847,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034071,"text":"70034071 - 2011 - Near-surface shear-wave velocity measurements in unlithified sediment","interactions":[],"lastModifiedDate":"2012-03-12T17:21:43","indexId":"70034071","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3317,"text":"SEG Technical Program Expanded Abstracts","active":true,"publicationSubtype":{"id":10}},"title":"Near-surface shear-wave velocity measurements in unlithified sediment","docAbstract":"S-wave velocity can be directly correlated to material stiffness and lithology making it a valuable physical property that has found uses in construction, engineering, and environmental projects. This study compares different methods for measuring S-wave velocities, investigating and identifying the differences among the methods' results, and prioritizing the different methods for optimal S-wave use at the U. S. Army's Yuma Proving Grounds YPG. Multichannel Analysis of Surface Waves MASW and S-wave tomography were used to generate S-wave velocity profiles. Each method has advantages and disadvantages. A strong signal-to-noise ratio at the study site gives the MASW method promising resolution. S-wave first arrivals are picked on impulsive sledgehammer data which were then used for the tomography process. Three-component downhole seismic data were collected in-line with a locking geophone, providing ground truth to compare the data and to draw conclusions about the validity of each data set. Results from these S-wave measurement techniques are compared with borehole seismic data and with lithology data from continuous samples to help ascertain the accuracy, and therefore applicability, of each method. This study helps to select the best methods for obtaining S-wave velocities for media much like those found in unconsolidated sediments at YPG. ?? 2011 Society of Exploration Geophysicists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"SEG Technical Program Expanded Abstracts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1190/1.3627467","issn":"10523812","usgsCitation":"Richards, B., Steeples, D., Miller, R., Ivanov, J., Peterie, S., Sloan, S., and McKenna, J., 2011, Near-surface shear-wave velocity measurements in unlithified sediment: SEG Technical Program Expanded Abstracts, v. 30, no. 1, p. 1416-1420, https://doi.org/10.1190/1.3627467.","startPage":"1416","endPage":"1420","numberOfPages":"5","costCenters":[],"links":[{"id":244801,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216902,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/1.3627467"}],"volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-05-25","publicationStatus":"PW","scienceBaseUri":"505a6409e4b0c8380cd72833","contributors":{"authors":[{"text":"Richards, B.T.","contributorId":92893,"corporation":false,"usgs":true,"family":"Richards","given":"B.T.","email":"","affiliations":[],"preferred":false,"id":443931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steeples, D.","contributorId":30422,"corporation":false,"usgs":true,"family":"Steeples","given":"D.","email":"","affiliations":[],"preferred":false,"id":443929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, R.","contributorId":19118,"corporation":false,"usgs":true,"family":"Miller","given":"R.","affiliations":[],"preferred":false,"id":443928,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ivanov, J.","contributorId":107068,"corporation":false,"usgs":true,"family":"Ivanov","given":"J.","email":"","affiliations":[],"preferred":false,"id":443933,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peterie, S.","contributorId":67753,"corporation":false,"usgs":true,"family":"Peterie","given":"S.","email":"","affiliations":[],"preferred":false,"id":443930,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sloan, S.D.","contributorId":101492,"corporation":false,"usgs":true,"family":"Sloan","given":"S.D.","email":"","affiliations":[],"preferred":false,"id":443932,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McKenna, J.R.","contributorId":108336,"corporation":false,"usgs":true,"family":"McKenna","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":443934,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
]}