{"pageNumber":"651","pageRowStart":"16250","pageSize":"25","recordCount":40807,"records":[{"id":70046335,"text":"70046335 - 2013 - Use of exposure history to identify patterns of immunity to pneumonia in bighorn sheep (Ovis canadensis)","interactions":[],"lastModifiedDate":"2013-06-10T10:18:48","indexId":"70046335","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","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":"Use of exposure history to identify patterns of immunity to pneumonia in bighorn sheep (Ovis canadensis)","docAbstract":"Individual host immune responses to infectious agents drive epidemic behavior and are therefore central to understanding and controlling infectious diseases. However, important features of individual immune responses, such as the strength and longevity of immunity, can be challenging to characterize, particularly if they cannot be replicated or controlled in captive environments. Our research on bighorn sheep pneumonia elucidates how individual bighorn sheep respond to infection with pneumonia pathogens by examining the relationship between exposure history and survival in situ. Pneumonia is a poorly understood disease that has impeded the recovery of bighorn sheep (Ovis canadensis) following their widespread extirpation in the 1900s. We analyzed the effects of pneumonia-exposure history on survival of 388 radio-collared adults and 753 ewe-lamb pairs. Results from Cox proportional hazards models suggested that surviving ewes develop protective immunity after exposure, but previous exposure in ewes does not protect their lambs during pneumonia outbreaks. Paradoxically, multiple exposures of ewes to pneumonia were associated with diminished survival of their offspring during pneumonia outbreaks. Although there was support for waning and boosting immunity in ewes, models with consistent immunizing exposure were similarly supported. Translocated animals that had not previously been exposed were more likely to die of pneumonia than residents. These results suggest that pneumonia in bighorn sheep can lead to aging populations of immune adults with limited recruitment. Recovery is unlikely to be enhanced by translocating nai¨ve healthy animals into or near populations infected with pneumonia pathogens.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0061919","usgsCitation":"Plowright, R., Manlove, K., Cassirer, E.F., Besser, T.H., and Hudson, P., 2013, Use of exposure history to identify patterns of immunity to pneumonia in bighorn sheep (Ovis canadensis): PLoS ONE, v. 8, no. 4, 12 p., https://doi.org/10.1371/journal.pone.0061919.","productDescription":"12 p.","numberOfPages":"12","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-041146","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":473763,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0061919","text":"Publisher Index Page"},{"id":273480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273479,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0061919"}],"country":"United States","state":"Idaho","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.9495,44.0718 ], [ -116.9495,46.6117 ], [ -115.3125,46.6117 ], [ -115.3125,44.0718 ], [ -116.9495,44.0718 ] ] ] } } ] }","volume":"8","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-04-26","publicationStatus":"PW","scienceBaseUri":"51b6e75de4b0097a7158ab75","contributors":{"authors":[{"text":"Plowright, Raina K.","contributorId":23038,"corporation":false,"usgs":true,"family":"Plowright","given":"Raina K.","affiliations":[],"preferred":false,"id":479487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manlove, Kezia","contributorId":68204,"corporation":false,"usgs":true,"family":"Manlove","given":"Kezia","affiliations":[],"preferred":false,"id":479489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cassirer, E. Frances","contributorId":23404,"corporation":false,"usgs":true,"family":"Cassirer","given":"E.","email":"","middleInitial":"Frances","affiliations":[],"preferred":false,"id":479488,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Besser, Thomas H.","contributorId":21446,"corporation":false,"usgs":true,"family":"Besser","given":"Thomas","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":479486,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hudson, Peter J.","contributorId":85056,"corporation":false,"usgs":true,"family":"Hudson","given":"Peter J.","affiliations":[],"preferred":false,"id":479490,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046356,"text":"sim3247 - 2013 - Geologic map of the Winslow 30’ × 60’ quadrangle, Coconino and Navajo Counties, northern Arizona","interactions":[],"lastModifiedDate":"2023-06-05T15:19:50.177113","indexId":"sim3247","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3247","title":"Geologic map of the Winslow 30’ × 60’ quadrangle, Coconino and Navajo Counties, northern Arizona","docAbstract":"The Winslow 30’ × 60’ quadrangle encompasses approximately 5,018 km<sup>2</sup> (1,960 mi<sup>2</sup>) within Coconino and Navajo Counties of northern Arizona. It is characterized by gently dipping Paleozoic and Mesozoic strata that dip 1° to 2° northeastward in the southwestern part of the quadrangle and become nearly flat-lying in the northeastern part of the quadrangle. In the northeastern part, a shallow Cenozoic erosional basin developed about 20 million years ago, which subsequently was filled with flat-lying Miocene and Pliocene lacustrine sediments of the Bidahochi Formation, as well as associated volcanic rocks of the Hopi Buttes Volcanic Field. The lacustrine sediments and volcanic rocks unconformably overlie Triassic, Jurassic, and Cretaceous strata.\n\nBeginning about early Pliocene time, the Little Colorado River and its tributaries began to remove large volumes of Paleozoic and Mesozoic bedrock from the map area. This erosional development has continued through Pleistocene and Holocene time. Fluvial sediments accumulated episodically throughout this erosional cycle, as indicated by isolated Pliocene(?) and Pleistocene Little Colorado River terrace-gravel deposits on Tucker Mesa and Toltec Divide west of Winslow and younger terrace-gravel deposits along the margins of the Little Colorado River Valley. These gravel deposits suggest that the ancestral Little Colorado River and its valley has eroded and migrated northeastward toward its present location and largely parallels the strike of the Chinle Formation.\n\nToday, the Little Colorado River meanders within a 5-km (3-mi) wide valley between Winslow and Leupp, where soft strata of the Chinle Formation is mostly covered by an unknown thickness of Holocene flood-plain deposits. In modern times, the Little Colorado River channel has changed its position as much as a 1.5 km (1 mi) during flood events, but for much of the year the channel is a dry river bed. Surficial alluvial and eolian deposits cover extensive parts of the bedrock outcrops over the entire Winslow quadrangle.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3247","collaboration":"Prepared in cooperation with the Navajo Nation","usgsCitation":"Billingsley, G.H., Block, D.L., and Redsteer, M.H., 2013, Geologic map of the Winslow 30’ × 60’ quadrangle, Coconino and Navajo Counties, northern Arizona: U.S. Geological Survey Scientific Investigations Map 3247, Pamphlet: iii, 25 p.; 3Plates: 38.01 x 5032 inches or smaller; Database; Metadata, https://doi.org/10.3133/sim3247.","productDescription":"Pamphlet: iii, 25 p.; 3Plates: 38.01 x 5032 inches or smaller; Database; Metadata","numberOfPages":"29","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":273523,"rank":9,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273517,"rank":8,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3247/sim3247_sheet1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":273518,"rank":7,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3247/sim3247_sheet2.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":273519,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3247/sim3247_sheet3.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":417737,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98539.htm","linkFileType":{"id":5,"text":"html"}},{"id":273516,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3247/sim3247_pamphlet.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":273521,"rank":2,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3247/SIM3247.zip"},{"id":273520,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3247/sim3247_metadata.pdf"},{"id":273515,"rank":4,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3247/","linkFileType":{"id":5,"text":"html"}},{"id":273522,"rank":1,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3247/sim3247_Winslow_Quad_Base_DRG.tif"}],"country":"United States","state":"Arizona","county":"Coconino County, Navajo County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111,35.0 ], [ -111,35.5 ], [ -110.0,35.5 ], [ -110.0,35.0 ], [ -111,35.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f2cbe4b0bc0bec0a05d6","contributors":{"authors":[{"text":"Billingsley, George H.","contributorId":20711,"corporation":false,"usgs":true,"family":"Billingsley","given":"George","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":479544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Block, Debra L. 0000-0001-7348-3064 dblock@usgs.gov","orcid":"https://orcid.org/0000-0001-7348-3064","contributorId":3587,"corporation":false,"usgs":true,"family":"Block","given":"Debra","email":"dblock@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":479543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Redsteer, Margaret Hiza 0000-0003-2851-2502","orcid":"https://orcid.org/0000-0003-2851-2502","contributorId":54335,"corporation":false,"usgs":true,"family":"Redsteer","given":"Margaret","email":"","middleInitial":"Hiza","affiliations":[],"preferred":false,"id":479545,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046333,"text":"70046333 - 2013 - Inferential consequences of modeling rather than measuring snow accumulation in studies of animal ecology","interactions":[],"lastModifiedDate":"2017-09-12T11:53:47","indexId":"70046333","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Inferential consequences of modeling rather than measuring snow accumulation in studies of animal ecology","docAbstract":"Abstract. It is increasingly common for studies of animal ecology to use model-based predictions of environmental variables as explanatory or predictor variables, even though model prediction uncertainty is typically unknown. To demonstrate the potential for misleading inferences when model predictions with error are used in place of direct measurements, we compared snow water equivalent (SWE) and snow depth as predicted by the Snow Data Assimilation System (SNODAS) to field measurements of SWE and snow depth. We examined locations on elk (Cervus canadensis) winter ranges in western Wyoming, because modeled data such as SNODAS output are often used for inferences on elk ecology. Overall, SNODAS predictions tended to overestimate field measurements, prediction uncertainty was high, and the difference between SNODAS predictions and field measurements was greater in snow shadows for both snow variables compared to non-snow shadow areas. We used a simple simulation of snow effects on the probability of an elk being killed by a predator to show that, if SNODAS prediction uncertainty was ignored, we might have mistakenly concluded that SWE was not an important factor in where elk were killed in predatory attacks during the winter. In this simulation, we were interested in the effects of snow at finer scales (<1 km<sup>2</sup>) than the resolution of SNODAS. If bias were to decrease when SNODAS predictions are averaged over coarser scales, SNODAS would be applicable to population-level ecology studies. In our study, however, averaging predictions over moderate to broad spatial scales (9–2200 km<sup>2</sup>) did not reduce the differences between SNODAS predictions and field measurements. This study highlights the need to carefully evaluate two issues when using model output as an explanatory variable in subsequent analysis: (1) the model’s resolution relative to the scale of the ecological question of interest and (2) the implications of prediction uncertainty on inferences when using model predictions as explanatory or predictor variables.","language":"English","publisher":"Ecological Society of America","doi":"10.1890/12-0959.1","usgsCitation":"Cross, P.C., Klaver, R.W., Brennan, A., Creel, S., Beckmann, J., Higgs, M., and Scurlock, B.M., 2013, Inferential consequences of modeling rather than measuring snow accumulation in studies of animal ecology: Ecological Applications, v. 23, no. 3, p. 643-653, https://doi.org/10.1890/12-0959.1.","productDescription":"11 p.","startPage":"643","endPage":"653","numberOfPages":"11","additionalOnlineFiles":"N","ipdsId":"IP-032991","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":473759,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/212","text":"External Repository"},{"id":273468,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273467,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/12-0959.1"}],"country":"United States","state":"Wyoming","volume":"23","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6e75be4b0097a7158ab55","contributors":{"authors":[{"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":479478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":479473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brennan, Angela","contributorId":40871,"corporation":false,"usgs":true,"family":"Brennan","given":"Angela","affiliations":[],"preferred":false,"id":479476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Creel, Scott","contributorId":15089,"corporation":false,"usgs":true,"family":"Creel","given":"Scott","affiliations":[],"preferred":false,"id":479475,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beckmann, Jon P.","contributorId":73098,"corporation":false,"usgs":true,"family":"Beckmann","given":"Jon P.","affiliations":[],"preferred":false,"id":479477,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Higgs, Megan D.","contributorId":14718,"corporation":false,"usgs":true,"family":"Higgs","given":"Megan D.","affiliations":[],"preferred":false,"id":479474,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Scurlock, Brandon M.","contributorId":93788,"corporation":false,"usgs":false,"family":"Scurlock","given":"Brandon","email":"","middleInitial":"M.","affiliations":[{"id":6917,"text":"Wyoming Game and Fish Department, Laramie, USA","active":true,"usgs":false}],"preferred":false,"id":479479,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70004040,"text":"70004040 - 2013 - Circuit theory and model-based inference for landscape connectivity","interactions":[],"lastModifiedDate":"2015-06-17T13:34:29","indexId":"70004040","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2527,"text":"Journal of the American Statistical Association","active":true,"publicationSubtype":{"id":10}},"title":"Circuit theory and model-based inference for landscape connectivity","docAbstract":"<p>Circuit theory has seen extensive recent use in the field of ecology, where it is often applied to study functional connectivity. The landscape is typically represented by a network of nodes and resistors, with the resistance between nodes a function of landscape characteristics. The effective distance between two locations on a landscape is represented by the resistance distance between the nodes in the network. Circuit theory has been applied to many other scientific fields for exploratory analyses, but parametric models for circuits are not common in the scientific literature. To model circuits explicitly, we demonstrate a link between Gaussian Markov random fields and contemporary circuit theory using a covariance structure that induces the necessary resistance distance. This provides a parametric model for second-order observations from such a system. In the landscape ecology setting, the proposed model provides a simple framework where inference can be obtained for effects that landscape features have on functional connectivity. We illustrate the approach through a landscape genetics study linking gene flow in alpine chamois (Rupicapra rupicapra) to the underlying landscape.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01621459.2012.724647","usgsCitation":"Hanks, E., and Hooten, M., 2013, Circuit theory and model-based inference for landscape connectivity: Journal of the American Statistical Association, v. 108, no. 501, p. 22-33, https://doi.org/10.1080/01621459.2012.724647.","productDescription":"12 p.","startPage":"22","endPage":"33","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029811","costCenters":[{"id":189,"text":"Colorado Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":273491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273490,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01621459.2012.724647"}],"volume":"108","issue":"501","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6e759e4b0097a7158ab41","contributors":{"authors":[{"text":"Hanks, Ephraim M.","contributorId":104630,"corporation":false,"usgs":true,"family":"Hanks","given":"Ephraim M.","affiliations":[],"preferred":false,"id":350280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":350279,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040669,"text":"70040669 - 2013 - At-sea behavior varies with lunar phase in a nocturnal pelagic seabird, the swallow-tailed gull","interactions":[],"lastModifiedDate":"2013-06-10T11:13:09","indexId":"70040669","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","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":"At-sea behavior varies with lunar phase in a nocturnal pelagic seabird, the swallow-tailed gull","docAbstract":"Strong and predictable environmental variability can reward flexible behaviors among animals. We used long-term records of activity data that cover several lunar cycles to investigate whether behavior at-sea of swallow-tailed gulls Creagrus furcatus, a nocturnal pelagic seabird, varied with lunar phase in the Galápagos Islands. A Bayesian hierarchical model showed that nighttime at-sea activity of 37 breeding swallow-tailed gulls was clearly associated with changes in moon phase. Proportion of nighttime spent on water was highest during darker periods of the lunar cycle, coinciding with the cycle of the diel vertical migration (DVM) that brings prey to the sea surface at night. Our data show that at-sea behavior of a tropical seabird can vary with environmental changes, including lunar phase.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0056889","usgsCitation":"Cruz, S.M., Hooten, M., Huyvaert, K., Proano, C.B., Anderson, D.J., Afanasyev, V., and Wikelski, M., 2013, At-sea behavior varies with lunar phase in a nocturnal pelagic seabird, the swallow-tailed gull: PLoS ONE, v. 8, no. 2, e56889, https://doi.org/10.1371/journal.pone.0056889.","productDescription":"e56889","ipdsId":"IP-037822","costCenters":[{"id":189,"text":"Colorado Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473766,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0056889","text":"Publisher Index Page"},{"id":273495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273493,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0056889"}],"otherGeospatial":"Galï¿½pagos Islands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.01,-1.41 ], [ -92.01,1.66 ], [ -89.24,1.66 ], [ -89.24,-1.41 ], [ -92.01,-1.41 ] ] ] } } ] }","volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-02-26","publicationStatus":"PW","scienceBaseUri":"51b6e758e4b0097a7158ab3d","contributors":{"authors":[{"text":"Cruz, Sebastian M.","contributorId":56136,"corporation":false,"usgs":true,"family":"Cruz","given":"Sebastian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":468757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin","contributorId":18254,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","affiliations":[],"preferred":false,"id":468755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huyvaert, Kathryn P.","contributorId":73906,"corporation":false,"usgs":true,"family":"Huyvaert","given":"Kathryn P.","affiliations":[],"preferred":false,"id":468758,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Proano, Carolina B.","contributorId":94195,"corporation":false,"usgs":true,"family":"Proano","given":"Carolina","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":468760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, David J.","contributorId":15099,"corporation":false,"usgs":true,"family":"Anderson","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":468754,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Afanasyev, Vsevolod","contributorId":18661,"corporation":false,"usgs":true,"family":"Afanasyev","given":"Vsevolod","email":"","affiliations":[],"preferred":false,"id":468756,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wikelski, Martin","contributorId":76451,"corporation":false,"usgs":true,"family":"Wikelski","given":"Martin","affiliations":[],"preferred":false,"id":468759,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70041504,"text":"70041504 - 2013 - Temporal variation and scale in movement-based resource selection functions","interactions":[],"lastModifiedDate":"2013-12-02T09:44:44","indexId":"70041504","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3475,"text":"Statistical Methodology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal variation and scale in movement-based resource selection functions","docAbstract":"A common population characteristic of interest in animal ecology studies pertains to the selection of resources. That is, given the resources available to animals, what do they ultimately choose to use? A variety of statistical approaches have been employed to examine this question and each has advantages and disadvantages with respect to the form of available data and the properties of estimators given model assumptions. A wealth of high resolution telemetry data are now being collected to study animal population movement and space use and these data present both challenges and opportunities for statistical inference. We summarize traditional methods for resource selection and then describe several extensions to deal with measurement uncertainty and an explicit movement process that exists in studies involving high-resolution telemetry data. Our approach uses a correlated random walk movement model to obtain temporally varying use and availability distributions that are employed in a weighted distribution context to estimate selection coefficients. The temporally varying coefficients are then weighted by their contribution to selection and combined to provide inference at the population level. The result is an intuitive and accessible statistical procedure that uses readily available software and is computationally feasible for large datasets. These methods are demonstrated using data collected as part of a large-scale mountain lion monitoring study in Colorado, USA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Statistical Methodology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.stamet.2012.12.001","usgsCitation":"Hooten, M., Hanks, E., Johnson, D., and Alldredge, M., 2013, Temporal variation and scale in movement-based resource selection functions: Statistical Methodology, v. 17, p. 82-98, https://doi.org/10.1016/j.stamet.2012.12.001.","productDescription":"17 p.","startPage":"82","endPage":"98","ipdsId":"IP-038933","costCenters":[{"id":189,"text":"Colorado Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":273501,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.stamet.2012.12.001"},{"id":273503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6e75ce4b0097a7158ab65","contributors":{"authors":[{"text":"Hooten, M.B.","contributorId":50261,"corporation":false,"usgs":true,"family":"Hooten","given":"M.B.","email":"","affiliations":[],"preferred":false,"id":469866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanks, E.M.","contributorId":104305,"corporation":false,"usgs":true,"family":"Hanks","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":469868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, D.S.","contributorId":30485,"corporation":false,"usgs":true,"family":"Johnson","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":469865,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alldredge, M.W.","contributorId":50263,"corporation":false,"usgs":true,"family":"Alldredge","given":"M.W.","email":"","affiliations":[],"preferred":false,"id":469867,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045519,"text":"70045519 - 2013 - Variation in body mass dynamics among sites in Black Brant <i>Branta bernicla nigricans</i> supports adaptivity of mass loss during moult","interactions":[],"lastModifiedDate":"2014-01-15T11:32:57","indexId":"70045519","displayToPublicDate":"2013-06-08T11:21:28","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1961,"text":"Ibis","active":true,"publicationSubtype":{"id":10}},"title":"Variation in body mass dynamics among sites in Black Brant <i>Branta bernicla nigricans</i> supports adaptivity of mass loss during moult","docAbstract":"Birds employ varying strategies to accommodate the energetic demands of moult, one important example being changes in body mass. To understand better their physiological and ecological significance, we tested three hypotheses concerning body mass dynamics during moult. We studied Black Brant in 2006 and 2007 moulting at three sites in Alaska which varied in food availability, breeding status and whether geese undertook a moult migration. First we predicted that if mass loss during moult were simply the result of inadequate food resources then mass loss would be highest where food was least available. Secondly, we predicted that if mass loss during moult were adaptive, allowing birds to reduce activity during moult, then birds would gain mass prior to moult where feeding conditions allowed and mass loss would be positively related to mass at moult initiation. Thirdly, we predicted that if mass loss during moult were adaptive, allowing birds to regain flight sooner, then across sites and groups, mass at the end of the flightless period would converge on a theoretical optimum, i.e. the mass that permits the earliest possible return to flight. Mass loss was greatest where food was most available and thus our results did not support the prediction that mass loss resulted from inadequate food availability. Mass at moult initiation was positively related to both food availability and mass loss. In addition, among sites and years, variation in mass was high at moult initiation but greatly reduced at the end of the flightless period, appearing to converge. Thus, our results supported multiple predictions that mass loss during moult was adaptive and that the optimal moulting strategy was to gain mass prior to the flightless period, then through behavioural modifications use these body reserves to reduce activity and in so doing also reduce wing loading. Geese that undertook a moult migration initiated moult at the highest mass, indicating that they were more than able to compensate for the energetic cost of the migration. Because Brant frequently change moult sites between years in relation to breeding success, the site-specific variation in body mass dynamics we observed suggests individual plasticity in moult body mass dynamics.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ibis","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Blackwell Science Pub.","doi":"10.1111/ibi.12056","usgsCitation":"Fondell, T.F., Flint, P.L., Schmutz, J.A., Schamber, J.L., and Nicolai, C.A., 2013, Variation in body mass dynamics among sites in Black Brant <i>Branta bernicla nigricans</i> supports adaptivity of mass loss during moult: Ibis, v. 155, no. 3, p. 593-604, https://doi.org/10.1111/ibi.12056.","productDescription":"12 p.","startPage":"593","endPage":"604","numberOfPages":"12","ipdsId":"IP-042298","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":281082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281081,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/ibi.12056"}],"country":"United States","state":"Alaska","otherGeospatial":"Teshekpuk Lake;Yukon-kuskokwim Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -168.35,60.44 ], [ -168.35,71.48 ], [ -151.3,71.48 ], [ -151.3,60.44 ], [ -168.35,60.44 ] ] ] } } ] }","volume":"155","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-06-08","publicationStatus":"PW","scienceBaseUri":"53cd7af3e4b0b2908510dcf9","contributors":{"authors":[{"text":"Fondell, Thomas F. tfondell@usgs.gov","contributorId":50771,"corporation":false,"usgs":true,"family":"Fondell","given":"Thomas","email":"tfondell@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":false,"id":477718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":477717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":477716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schamber, Jason L.","contributorId":72512,"corporation":false,"usgs":true,"family":"Schamber","given":"Jason","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":477719,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nicolai, Christopher A.","contributorId":107140,"corporation":false,"usgs":true,"family":"Nicolai","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":477720,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046250,"text":"sir20135021 - 2013 - Concentration, flux, and the analysis of trends of total and dissolved phosphorus, total nitrogen, and chloride in 18 tributaries to Lake Champlain, Vermont and New York, 1990–2011","interactions":[],"lastModifiedDate":"2014-03-13T16:16:58","indexId":"sir20135021","displayToPublicDate":"2013-06-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5021","title":"Concentration, flux, and the analysis of trends of total and dissolved phosphorus, total nitrogen, and chloride in 18 tributaries to Lake Champlain, Vermont and New York, 1990–2011","docAbstract":"Annual concentration, flux, and yield for total phosphorus, dissolved phosphorus, total nitrogen, and chloride for 18 tributaries to Lake Champlain were estimated for 1990 through 2011 using a weighted regression method based on time, tributary streamflows (discharges), and seasonal factors. The weighted regression method generated two series of daily estimates of flux and concentration during the period of record: one based on observed discharges and a second based on a flow-normalization procedure that removes random variation due to year-to-year climate-driven effects. The flownormalized estimate for a given date is similar to an average estimate of concentration or flux that would be made if all of the observed discharges for that date were equally likely to have occurred. The flux bias statistic showed that 68 of the 72 flux regression models were minimally biased. Temporal trends in the concentrations and fluxes were determined by calculating percent changes in flow-normalized annual fluxes for the full period of analysis (1990 through 2010) and for the decades 1990–2000 and 2000–2010.  Basinwide, flow-normalized total phosphorus flux decreased by 42 metric tons per year (t/yr) between 1990 and 2010. This net result reflects a basinwide decrease in flux of 21 metric tons (t) between 1990 and 2000, followed by a decrease of 20 t between 2000 and 2010; both results were largely influenced by flux patterns in the large tributaries on the eastern side of the basin. A comparison of results for total phosphorus for the two separate decades of analysis found that more tributaries had decreasing concentrations and flux rates in the second decade than the first.  An overall reduction in dissolved phosphorus flux of 0.7 t/yr was seen in the Lake Champlain Basin during the full period of analysis. That very small net change in flux reflects substantial reductions between 1990 and 2000 from eastern tributaries, especially in Otter Creek and the LaPlatte and Winooski Rivers that largely were offset by increases in the Missisquoi and Saranac Rivers in the second decade (between 2000 and 2010). The number of tributaries that had increases in dissolved phosphorus concentrations stayed constant at 13 or 14 during the period of analysis.  Total nitrogen concentration and flux for most of the monitored tributaries in the Lake Champlain Basin have decreased since 1990. Between 1990 and 2010, flow-normalized total nitrogen flux decreased by 386 t/yr, which reflects an increase of 440 t/yr between 1990 and 2000 and a decrease of 826 t/yr between 2000 and 2010. All individual tributaries except the Winooski River had decreases in total nitrogen concentration and flux between 2000 and 2010. The decrease in total nitrogen flux over the period of record could be related to the decrease in nitrogen from atmospheric deposition observed in Vermont or to concurrent benefits realized from the implementation of agricultural best-management practices in the Lake Champlain Basin that were designed primarily to reduce phosphorus runoff.  For chloride, large increases in flow-normalized concentrations and flux between 1990 and 2000 for 17 of the 18 tributaries diminished to small increases or decreases between 2000 and 2010. Between 1990 and 2010, flow-normalized flux increased by 32,225 t/yr, 78 percent of which (25,163 t) was realized during the first decade, from 1990 through 2000. The five tributaries that had decreasing concentration and flux of chloride between 2000 and 2010 were all on the eastern side of Lake Champlain, possibly related to reductions since 1999 in winter road salt application in Vermont.  Positive correlations of phosphorus flux and changes in phosphorus concentration and flux in tributaries with phosphorus inputs to basins from point sources, suggest that point sources have an effect on stream phosphorus chemistry. Several measures of changes in agricultural statistics, such as agricultural land use, acres of land in farms, acres of cropland, and acres of corn for grain or seed, are positively correlated with changes in phosphorus concentration or flux in the tributaries. Negative correlations of the amount of money spent on agricultural best-management practices with changes in phosphorus concentration or flux in the tributaries, suggest that best-management practices may be an effective tool, along with point-source reductions, in making progress towards management goals for phosphorus reductions in Lake Champlain.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135021","collaboration":"Prepared in cooperation with the Vermont Department of Environmental Conservation","usgsCitation":"Medalie, L., 2013, Concentration, flux, and the analysis of trends of total and dissolved phosphorus, total nitrogen, and chloride in 18 tributaries to Lake Champlain, Vermont and New York, 1990–2011: U.S. Geological Survey Scientific Investigations Report 2013-5021, Report: vi, 31 p.; 8 Appendicies, https://doi.org/10.3133/sir20135021.","productDescription":"Report: vi, 31 p.; 8 Appendicies","numberOfPages":"39","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":273423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135021.gif"},{"id":273156,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5021/"},{"id":273157,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5021/pdf/sir2013-5021_report_508.pdf"},{"id":273158,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5021/appendix/sir_appendix6_final052813.xlsx"},{"id":273159,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5021/appendix/sir_appendix4_052413.pdf"},{"id":273161,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5021/appendix/sir_appendix8_052413.pdf"},{"id":283965,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5021/appendix/sir_appendix7_05282013.pdf"},{"id":283964,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5021/appendix/sir_appendix5_052413.pdf"},{"id":283968,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5021/appendix/sir_appendix2_final041813.xlsx"},{"id":283971,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5021/appendix/sir_appendix3_052813.pdf"},{"id":283967,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5021/appendix/sir_appendix1_final041813.xlsx"}],"country":"United States","state":"New York;Vermont","otherGeospatial":"Lake Champlain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.7081,43.5785 ], [ -73.7081,45.0891 ], [ -72.8948,45.0891 ], [ -72.8948,43.5785 ], [ -73.7081,43.5785 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b2f2d2e4b01368e589e3b6","contributors":{"authors":[{"text":"Medalie, Laura 0000-0002-2440-2149 lmedalie@usgs.gov","orcid":"https://orcid.org/0000-0002-2440-2149","contributorId":3657,"corporation":false,"usgs":true,"family":"Medalie","given":"Laura","email":"lmedalie@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479301,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045114,"text":"70045114 - 2013 - Improving predictive power of physically based rainfall-induced shallow landslide models: a probablistic approach","interactions":[],"lastModifiedDate":"2013-06-08T08:47:03","indexId":"70045114","displayToPublicDate":"2013-06-06T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1819,"text":"Geoscientific Model Development and Discussions","active":true,"publicationSubtype":{"id":10}},"title":"Improving predictive power of physically based rainfall-induced shallow landslide models: a probablistic approach","docAbstract":"Distributed models to forecast the spatial and temporal occurrence of rainfall-induced shallow landslides are deterministic. These models extend spatially the static stability models adopted in geotechnical engineering and adopt an infinite-slope geometry to balance the resisting and the driving forces acting on the sliding mass. An infiltration model is used to determine how rainfall changes pore-water conditions, modulating the local stability/instability conditions. A problem with the existing models is the difficulty in obtaining accurate values for the several variables that describe the material properties of the slopes. The problem is particularly severe when the models are applied over large areas, for which sufficient information on the geotechnical and hydrological conditions of the slopes is not generally available. To help solve the problem, we propose a probabilistic Monte Carlo approach to the distributed modeling of shallow rainfall-induced landslides. For the purpose, we have modified the Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability Analysis (TRIGRS) code. The new code (TRIGRS-P) adopts a stochastic approach to compute, on a cell-by-cell basis, transient pore-pressure changes and related changes in the factor of safety due to rainfall infiltration. Infiltration is modeled using analytical solutions of partial differential equations describing one-dimensional vertical flow in isotropic, homogeneous materials. Both saturated and unsaturated soil conditions can be considered. TRIGRS-P copes with the natural variability inherent to the mechanical and hydrological properties of the slope materials by allowing values of the TRIGRS model input parameters to be sampled randomly from a given probability distribution. The range of variation and the mean value of the parameters can be determined by the usual methods used for preparing the TRIGRS input parameters. The outputs of several model runs obtained varying the input parameters are analyzed statistically, and compared to the original (deterministic) model output. The comparison suggests an improvement of the predictive power of the model of about 10% and 16% in two small test areas, i.e. the Frontignano (Italy) and the Mukilteo (USA) areas, respectively. We discuss the computational requirements of TRIGRS-P to determine the potential use of the numerical model to forecast the spatial and temporal occurrence of rainfall-induced shallow landslides in very large areas, extending for several hundreds or thousands of square kilometers. Parallel execution of the code using a simple process distribution and the Message Passing Interface (MPI) on multi-processor machines was successful, opening the possibly of testing the use of TRIGRS-P for the operational forecasting of rainfall-induced shallow landslides over large regions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geoscientific Model Development and Discussions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union","doi":"10.5194/gmdd-6-1367-2013","usgsCitation":"Raia, S., Alvioli, M., Rossi, M., Baum, R., Godt, J., and Guzzetti, F., 2013, Improving predictive power of physically based rainfall-induced shallow landslide models: a probablistic approach: Geoscientific Model Development and Discussions, v. 6, p. 1367-1426, https://doi.org/10.5194/gmdd-6-1367-2013.","productDescription":"10 p.","startPage":"1367","endPage":"1426","ipdsId":"IP-042922","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":473771,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/gmdd-6-1367-2013","text":"Publisher Index Page"},{"id":273410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273409,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/gmdd-6-1367-2013"}],"volume":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b1a170e4b022a6a540f998","contributors":{"authors":[{"text":"Raia, S.","contributorId":35218,"corporation":false,"usgs":true,"family":"Raia","given":"S.","email":"","affiliations":[],"preferred":false,"id":476837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alvioli, M.","contributorId":36829,"corporation":false,"usgs":true,"family":"Alvioli","given":"M.","affiliations":[],"preferred":false,"id":476838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rossi, M.","contributorId":16301,"corporation":false,"usgs":true,"family":"Rossi","given":"M.","email":"","affiliations":[],"preferred":false,"id":476836,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baum, R.L.","contributorId":68752,"corporation":false,"usgs":true,"family":"Baum","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":476840,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Godt, J. W.","contributorId":76732,"corporation":false,"usgs":true,"family":"Godt","given":"J. W.","affiliations":[],"preferred":false,"id":476841,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guzzetti, F.","contributorId":46732,"corporation":false,"usgs":true,"family":"Guzzetti","given":"F.","email":"","affiliations":[],"preferred":false,"id":476839,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70046317,"text":"70046317 - 2013 - An individual-based model for population viability analysis of humpback chub in Grand Canyon","interactions":[],"lastModifiedDate":"2013-06-06T20:45:36","indexId":"70046317","displayToPublicDate":"2013-06-06T00:00:00","publicationYear":"2013","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":"An individual-based model for population viability analysis of humpback chub in Grand Canyon","docAbstract":"We developed an individual-based population viability analysis model (females only) for evaluating risk to populations from catastrophic events or conservation and research actions. This model tracks attributes (size, weight, viability, etc.) for individual fish through time and then compiles this information to assess the extinction risk of the population across large numbers of simulation trials. Using a case history for the Little Colorado River population of Humpback Chub Gila cypha in Grand Canyon, Arizona, we assessed extinction risk and resiliency to a catastrophic event for this population and then assessed a series of conservation actions related to removing specific numbers of Humpback Chub at different sizes for conservation purposes, such as translocating individuals to establish other spawning populations or hatchery refuge development. Our results suggested that the Little Colorado River population is generally resilient to a single catastrophic event and also to removals of larvae and juveniles for conservation purposes, including translocations to establish new populations. Our results also suggested that translocation success is dependent on similar survival rates in receiving and donor streams and low emigration rates from recipient streams. In addition, translocating either large numbers of larvae or small numbers of large juveniles has generally an equal likelihood of successful population establishment at similar extinction risk levels to the Little Colorado River donor population. Our model created a transparent platform to consider extinction risk to populations from catastrophe or conservation actions and should prove useful to managers assessing these risks for endangered species such as Humpback Chub.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2013.788587","usgsCitation":"Pine, W.P., Healy, B., Smith, E.O., Trammell, M., Speas, D., Valdez, R., Yard, M., Walters, C., Ahrens, R., Vanhaverbeke, R., Stone, D., and Wilson, W., 2013, An individual-based model for population viability analysis of humpback chub in Grand Canyon: North American Journal of Fisheries Management, v. 33, no. 3, p. 626-641, https://doi.org/10.1080/02755947.2013.788587.","productDescription":"16 p.","startPage":"626","endPage":"641","ipdsId":"IP-040577","costCenters":[{"id":322,"text":"Grand Canyon Monitoring and Research Center","active":false,"usgs":true}],"links":[{"id":273418,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273417,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2013.788587"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.98,35.75 ], [ -113.98,36.86 ], [ -111.6,36.86 ], [ -111.6,35.75 ], [ -113.98,35.75 ] ] ] } } ] }","volume":"33","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-05-24","publicationStatus":"PW","scienceBaseUri":"51b1a14fe4b022a6a540f990","contributors":{"authors":[{"text":"Pine, William Pine III","contributorId":55717,"corporation":false,"usgs":true,"family":"Pine","given":"William","suffix":"III","email":"","middleInitial":"Pine","affiliations":[],"preferred":false,"id":479454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Healy, Brian","contributorId":42123,"corporation":false,"usgs":true,"family":"Healy","given":"Brian","affiliations":[],"preferred":false,"id":479452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Emily Omana","contributorId":33608,"corporation":false,"usgs":true,"family":"Smith","given":"Emily","email":"","middleInitial":"Omana","affiliations":[],"preferred":false,"id":479450,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Trammell, Melissa","contributorId":47675,"corporation":false,"usgs":true,"family":"Trammell","given":"Melissa","affiliations":[],"preferred":false,"id":479453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Speas, Dave","contributorId":35221,"corporation":false,"usgs":true,"family":"Speas","given":"Dave","affiliations":[],"preferred":false,"id":479451,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Valdez, Rich","contributorId":88252,"corporation":false,"usgs":true,"family":"Valdez","given":"Rich","email":"","affiliations":[],"preferred":false,"id":479456,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yard, Mike","contributorId":25849,"corporation":false,"usgs":true,"family":"Yard","given":"Mike","email":"","affiliations":[],"preferred":false,"id":479449,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Walters, Carl","contributorId":66156,"corporation":false,"usgs":true,"family":"Walters","given":"Carl","affiliations":[],"preferred":false,"id":479455,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ahrens, Rob","contributorId":21055,"corporation":false,"usgs":true,"family":"Ahrens","given":"Rob","email":"","affiliations":[],"preferred":false,"id":479448,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vanhaverbeke, Randy","contributorId":89046,"corporation":false,"usgs":true,"family":"Vanhaverbeke","given":"Randy","email":"","affiliations":[],"preferred":false,"id":479457,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stone, Dennis","contributorId":18253,"corporation":false,"usgs":true,"family":"Stone","given":"Dennis","affiliations":[],"preferred":false,"id":479447,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wilson, Wade","contributorId":103554,"corporation":false,"usgs":true,"family":"Wilson","given":"Wade","affiliations":[],"preferred":false,"id":479458,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70046310,"text":"fs20133032 - 2013 - The 3D Elevation Program: summary for Wisconsin","interactions":[],"lastModifiedDate":"2016-08-17T16:17:52","indexId":"fs20133032","displayToPublicDate":"2013-06-06T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3032","title":"The 3D Elevation Program: summary for Wisconsin","docAbstract":"Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Wisconsin, elevation data are critical for agriculture and precision farming, natural resources conservation, flood risk management, infrastructure and construction management, water supply and quality, and other business uses. Today, high-quality light detection and ranging (lidar) data are the sources for creating elevation models and other elevation datasets. Federal, State, and local agencies work in partnership to (1) replace data, on a national basis, that are (on average) 30 years old and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data. The new 3D Elevation Program (3DEP) initiative, managed by the U.S. Geological Survey (USGS), responds to the growing need for high-quality topographic data and a wide range of other three-dimensional representations of the Nation’s natural and constructed features.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133032","usgsCitation":"Carswell, W., 2013, The 3D Elevation Program: summary for Wisconsin (Originally posted on June 6, 2013; Revised June 13, 2013): U.S. Geological Survey Fact Sheet 2013-3032, 2 p., https://doi.org/10.3133/fs20133032.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":273378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133032.gif"},{"id":273376,"type":{"id":15,"text":"Index 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Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":479436,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047396,"text":"70047396 - 2013 - Resilience thinking and a decision-analytic approach to conservation: strange bedfellows or essential partners?","interactions":[],"lastModifiedDate":"2013-08-05T08:51:17","indexId":"70047396","displayToPublicDate":"2013-06-05T08:46:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Resilience thinking and a decision-analytic approach to conservation: strange bedfellows or essential partners?","docAbstract":"There has been some tendency to view decision science and resilience theory as opposing approaches, or at least as contending perspectives, for natural resource management. Resilience proponents have been especially critical of optimization in decision science, at least for those cases where it is focused on the aggressive pursuit of efficiency. In general, optimization of resource systems is held to reduce spatial, temporal, or organizational heterogeneity that would otherwise limit efficiency, leading to homogenization of a system and making it less able to cope with unexpected changes or disturbances. For their part, decision analysts have been critical of resilience proponents for not providing much practical advice to decision makers. We believe a key source of tension between resilience thinking and application of decision science is the pursuit of efficiency in the latter (i.e., choosing the “best” management action or strategy option to maximize productivity of one or few resource components), vs. a desire in the former to keep options open (i.e., maintaining and enhancing diversity). It seems obvious, however, that with managed natural systems, there must be a principle by which to guide decision making, which at a minimumallows for a comparison of projected outcomes associated with decision alternatives. This is true even if the primary concern of decision making is the preservation of system resilience. We describe how a careful framing of conservation problems, especially in terms of management objectives and predictive models, can help reduce the purported tension between resiliencethinking and decision analysis. In particular, objective setting in conservation problems needs to be more attuned to the dynamics of ecological systems and to the possibility of deep uncertainties that underlie the risk of unintended, if not irreversible, outcomes. Resilience thinking also leads to the suggestion that model development should focus more on process rather than pattern, on multiple scales of influence, and on phenomena that can create alternative stability regimes. Although we acknowledge the inherent difficulties in modeling ecological processes, we stress that formulation of useful models need not depend on a thorough mechanistic understanding or precise parameterization, assuming that uncertainty is acknowledged and treated in a systematic manner.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology and Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Resilience Alliance","doi":"10.5751/ES-05544-180227","usgsCitation":"Johnson, F.A., Williams, B.K., and Nichols, J., 2013, Resilience thinking and a decision-analytic approach to conservation: strange bedfellows or essential partners?: Ecology and Society, v. 18, no. 2, 17 p., https://doi.org/10.5751/ES-05544-180227.","productDescription":"17 p.","numberOfPages":"17","ipdsId":"IP-040396","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473772,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-05544-180227","text":"Publisher Index Page"},{"id":275992,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275991,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5751/ES-05544-180227"}],"volume":"18","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5200c968e4b009d47a4c23d3","contributors":{"authors":[{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"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":481936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Byron K. 0000-0001-7644-1396","orcid":"https://orcid.org/0000-0001-7644-1396","contributorId":86616,"corporation":false,"usgs":true,"family":"Williams","given":"Byron","email":"","middleInitial":"K.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":false,"id":481937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"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":481935,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046303,"text":"ofr20121198 - 2013 - Field survey and damage assessment of the Mineral, Virginia, earthquake of August 23, 2011","interactions":[],"lastModifiedDate":"2013-06-05T23:16:55","indexId":"ofr20121198","displayToPublicDate":"2013-06-05T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1198","title":"Field survey and damage assessment of the Mineral, Virginia, earthquake of August 23, 2011","docAbstract":"The town of Mineral, Virginia (Va.), underwent an M=5.8 earthquake on August 23, 2011. A U.S. Geological Survey team was sent to visually inspect and document the damage in the cities of Richmond, Charlottesville, Louisa, and Mineral, Va. Our inspection concluded that the Modified Mercalli Intensity rating of moderate (V) to very strong (VII) is consistent with the expected and observed damage at these locations. Louisa County, Va., sustained the most extensive damage. We photographed fallen chimneys, collapsed walls, and cracked foundations. From visual inspection of the above-listed locations, this report catalogs the range and extent of damage from the August 23, 2011, earthquake for future reference and analysis.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121198","usgsCitation":"Thomas, H.R., and Turkle, K., 2013, Field survey and damage assessment of the Mineral, Virginia, earthquake of August 23, 2011: U.S. Geological Survey Open-File Report 2012-1198, iv, 20 p., https://doi.org/10.3133/ofr20121198.","productDescription":"iv, 20 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":273344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121198.png"},{"id":273342,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1198/"},{"id":273343,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1198/of2012-1198.pdf"}],"country":"United States","state":"Virginia","city":"Mineral","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.919642,37.998906 ], [ -77.919642,38.015615 ], [ -77.890737,38.015615 ], [ -77.890737,37.998906 ], [ -77.919642,37.998906 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b058fce4b030b5197ffbbb","contributors":{"authors":[{"text":"Thomas, Helen R.","contributorId":99865,"corporation":false,"usgs":true,"family":"Thomas","given":"Helen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":479425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turkle, Katharine","contributorId":107172,"corporation":false,"usgs":true,"family":"Turkle","given":"Katharine","email":"","affiliations":[],"preferred":false,"id":479426,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70174344,"text":"70174344 - 2013 - New perspectives on the geometry of the Albuquerque Basin, Rio Grande rift, New Mexico: Insights from geophysical models of rift-fill thickness","interactions":[],"lastModifiedDate":"2016-07-08T18:26:12","indexId":"70174344","displayToPublicDate":"2013-06-04T01:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3459,"text":"Special Paper of the Geological Society of America","active":true,"publicationSubtype":{"id":10}},"title":"New perspectives on the geometry of the Albuquerque Basin, Rio Grande rift, New Mexico: Insights from geophysical models of rift-fill thickness","docAbstract":"<p><span>Discrepancies among previous models of the geometry of the Albuquerque Basin motivated us to develop a new model using a comprehensive approach. Capitalizing on a natural separation between the densities of mainly Neogene basin fill (Santa Fe Group) and those of older rocks, we developed a three-dimensional (3D) geophysical model of syn-rift basin-fill thickness that incorporates well data, seismic-reflection data, geologic cross sections, and other geophysical data in a constrained gravity inversion. Although the resulting model does not show structures directly, it elucidates important aspects of basin geometry. The main features are three, 3&ndash;5-km-deep, interconnected structural depressions, which increase in size, complexity, and segmentation from north to south: the Santo Domingo, Calabacillas, and Belen subbasins. The increase in segmentation and complexity may reflect a transition of the Rio Grande rift from well-defined structural depressions in the north to multiple, segmented basins within a broader region of crustal extension to the south. The modeled geometry of the subbasins and their connections differs from a widely accepted structural model based primarily on seismic-reflection interpretations. Key elements of the previous model are an east-tilted half-graben block on the north separated from a west-tilted half-graben block on the south by a southwest-trending, scissor-like transfer zone. Instead, we find multiple subbasins with predominantly easterly tilts for much of the Albuquerque Basin, a restricted region of westward tilting in the southwestern part of the basin, and a northwesterly trending antiform dividing subbasins in the center of the basin instead of a major scissor-like transfer zone. The overall eastward tilt indicated by the 3D geophysical model generally conforms to stratal tilts observed for the syn-rift succession, implying a prolonged eastward tilting of the basin during Miocene time. An extensive north-south synform in the central part of the Belen subbasin suggests a possible path for the ancestral Rio Grande during late Miocene or early Pliocene time. Variations in rift-fill thickness correspond to pre-rift structures in several places, suggesting that a better understanding of pre-rift history may shed light on debates about structural inheritance within the rift.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2013.2494(16)","usgsCitation":"Grauch, V.J., and Connell, S.D., 2013, New perspectives on the geometry of the Albuquerque Basin, Rio Grande rift, New Mexico: Insights from geophysical models of rift-fill thickness: Special Paper of the Geological Society of America, v. 494, p. 427-462, https://doi.org/10.1130/2013.2494(16).","productDescription":"36 p.","startPage":"427","endPage":"462","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-023201","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":324988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"494","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5780cebce4b081161682238e","contributors":{"authors":[{"text":"Grauch, V. J. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":152256,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":641980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connell, Sean D.","contributorId":7374,"corporation":false,"usgs":true,"family":"Connell","given":"Sean","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":641981,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189949,"text":"70189949 - 2013 - The storage time, age, and erosion hazard of laterally accreted sediment on the floodplain of a simulated meandering river","interactions":[],"lastModifiedDate":"2017-07-31T09:08:03","indexId":"70189949","displayToPublicDate":"2013-06-04T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"The storage time, age, and erosion hazard of laterally accreted sediment on the floodplain of a simulated meandering river","docAbstract":"<p><span>A sediment particle traversing the fluvial system may spend the majority of the total transit time at rest, stored in various sedimentary deposits. Floodplains are among the most important of these deposits, with the potential to store large amounts of sediment for long periods of time. The virtual velocity of a sediment grain depends strongly on the amount of time spent in storage, but little is known about sediment storage times. Measurements of floodplain vegetation age have suggested that storage times are exponentially distributed, a case that arises when all the sediment on a floodplain is equally vulnerable to erosion in a given interval. This assumption has been incorporated into sediment routing models, despite some evidence that younger sediment is more likely to be eroded from floodplains than older sediment. We investigate the relationship between sediment age and erosion, which we term the “erosion hazard,” with a model of a meandering river that constructs its floodplain by lateral accretion. We find that the erosion hazard decreases with sediment age, leading to a storage time distribution that is not exponential. We propose an alternate model that requires that channel motion is approximately diffusive and results in a heavy tailed distribution of storage time. The model applies to timescales over which the direction of channel motion is uncorrelated. We speculate that the lower end of this range of time is set by the meander cutoff timescale and the upper end is set by processes that limit the width of the meander belt.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/jgrf.20083","usgsCitation":"Bradley, D.N., and Tucker, G., 2013, The storage time, age, and erosion hazard of laterally accreted sediment on the floodplain of a simulated meandering river: Journal of Geophysical Research F: Earth Surface, v. 118, no. 3, p. 1308-1319, https://doi.org/10.1002/jgrf.20083.","productDescription":"12 p.","startPage":"1308","endPage":"1319","ipdsId":"IP-040347","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344456,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"118","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-26","publicationStatus":"PW","scienceBaseUri":"5980419de4b0a38ca2789373","contributors":{"authors":[{"text":"Bradley, D. Nathan","contributorId":79776,"corporation":false,"usgs":true,"family":"Bradley","given":"D.","email":"","middleInitial":"Nathan","affiliations":[],"preferred":false,"id":706852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tucker, Gregory E.","contributorId":39280,"corporation":false,"usgs":true,"family":"Tucker","given":"Gregory E.","affiliations":[],"preferred":false,"id":706853,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70046252,"text":"70046252 - 2013 - Conservation of avian diversity in the Sierra Nevada: moving beyond a single-species management focus","interactions":[],"lastModifiedDate":"2013-06-04T14:09:53","indexId":"70046252","displayToPublicDate":"2013-06-04T00:00:00","publicationYear":"2013","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":"Conservation of avian diversity in the Sierra Nevada: moving beyond a single-species management focus","docAbstract":"Background: As a result of past practices, many of the dry coniferous forests of the western United States contain dense, even-aged stands with uncharacteristically high levels of litter and downed woody debris.  These changes to the forest have received considerable attention as they elevate concerns regarding the outcome of wildland fire.   However, attempts to reduce biomass through fuel reduction (i.e., thinning of trees) are often opposed by public interest groups whose objectives include maintaining habitat for species of concern such as the spotted owl, Strix occidentalis, the northern goshawk, Accipiter gentilis, and the Pacific fisher, Martes pennanti. Whether protection of these upper-trophic level species confers adequate conservation of avian forest diversity is unknown. Methodology and Principal Findings:  We use a multi-species occurrence model to estimate the habitat associations of 47 avian species detected at 742 sampling locations within an 880-km<sup>2</sup> area in the Sierra Nevada.  Our approach, which accounts for variations in detectability of species, estimates occurrence probabilities of all species in a community by linking species occurrence models into one hierarchical community model, thus improving inferences on all species, especially those that are rare or observed infrequently.  We address how the avian community is influenced by covariates related to canopy cover, tree size and shrub cover while accounting for the impacts of abiotic variables known to affect species distributions. Conclusions and Significance:  Environmental parameters estimated through our approach emphasize the importance of within and between stand-level heterogeneity in meeting biodiversity objectives and suggests that many avian species would increase under more open canopy habitat conditions than those favored by umbrella species of high conservation concern.  Our results suggest that a more integrated approach that emphasizes maintaining a diversity of habitats across environmental gradients and minimizing urbanization may have a greater benefit to ecosystem functioning then a single-species management focus.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0063088","usgsCitation":"White, A.M., Zipkin, E., Manley, P.N., and Schlesinger, M.D., 2013, Conservation of avian diversity in the Sierra Nevada: moving beyond a single-species management focus: PLoS ONE, v. 8, no. 5, e63088, https://doi.org/10.1371/journal.pone.0063088.","productDescription":"e63088","ipdsId":"IP-043205","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473775,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0063088","text":"Publisher Index Page"},{"id":273243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273240,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0063088"}],"country":"United States","state":"California;Nevada","otherGeospatial":"Sierra Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.0,38.0 ], [ -121.0,39.75 ], [ -119.25,39.75 ], [ -119.25,38.0 ], [ -121.0,38.0 ] ] ] } } ] }","volume":"8","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-05-07","publicationStatus":"PW","scienceBaseUri":"51aefe4ee4b08a3322c2c244","contributors":{"authors":[{"text":"White, Angela M.","contributorId":84255,"corporation":false,"usgs":true,"family":"White","given":"Angela","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":479310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zipkin, Elise F.","contributorId":70528,"corporation":false,"usgs":true,"family":"Zipkin","given":"Elise F.","affiliations":[],"preferred":false,"id":479308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manley, Patricia N.","contributorId":79010,"corporation":false,"usgs":true,"family":"Manley","given":"Patricia","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":479309,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schlesinger, Matthew D.","contributorId":103954,"corporation":false,"usgs":true,"family":"Schlesinger","given":"Matthew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":479311,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044669,"text":"70044669 - 2013 - Understanding how social networking influences perceived satisfaction with conference experiences","interactions":[],"lastModifiedDate":"2017-11-25T13:49:03","indexId":"70044669","displayToPublicDate":"2013-06-04T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":795,"text":"Annals of Leisure Research","active":true,"publicationSubtype":{"id":10}},"title":"Understanding how social networking influences perceived satisfaction with conference experiences","docAbstract":"Social networking is a key benefit derived from participation in conferences that bind the ties of a professional community. Building social networks can lead to satisfactory experiences while furthering participants' long- and short-term career goals. Although investigations of social networking can lend insight into how to effectively engage individuals and groups within a professional cohort, this area has been largely overlooked in past research. The present study investigates the relationship between social networking and satisfaction with the 10th Biennial Conference of Research on the Colorado Plateau using structural equation modelling. Results partially support the hypothesis that three dimensions of social networking – interpersonal connections, social cohesion, and secondary associations – positively contribute to the performance of various conference attributes identified in two focus group sessions. The theoretical and applied contributions of this paper shed light on the social systems formed within professional communities and resource allocation among service providers.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Annals of Leisure Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/11745398.2013.772867","usgsCitation":"van Riper, C.J., van Riper, C., Kyle, G.T., and Lee, M.E., 2013, Understanding how social networking influences perceived satisfaction with conference experiences: Annals of Leisure Research, v. 16, no. 1, p. 103-114, https://doi.org/10.1080/11745398.2013.772867.","productDescription":"12 p.","startPage":"103","endPage":"114","ipdsId":"IP-036733","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":273284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273272,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/11745398.2013.772867"}],"volume":"16","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51aefe5be4b08a3322c2c27c","contributors":{"authors":[{"text":"van Riper, Carena J.","contributorId":42827,"corporation":false,"usgs":false,"family":"van Riper","given":"Carena","email":"","middleInitial":"J.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":476200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":476203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kyle, Gerard T.","contributorId":69405,"corporation":false,"usgs":true,"family":"Kyle","given":"Gerard","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":476202,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, Martha E.","contributorId":55720,"corporation":false,"usgs":true,"family":"Lee","given":"Martha","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":476201,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046230,"text":"70046230 - 2013 - Human and biophysical influences on fire occurrence in the United States","interactions":[],"lastModifiedDate":"2013-06-04T12:44:30","indexId":"70046230","displayToPublicDate":"2013-06-04T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Human and biophysical influences on fire occurrence in the United States","docAbstract":"National-scale analyses of fire occurrence are needed to prioritize fire policy and management activities across the United States. However, the drivers of national-scale patterns of fire occurrence are not well understood, and how the relative importance of human or biophysical factors varies across the country is unclear. Our research goal was to model the drivers of fire occurrence within ecoregions across the conterminous United States. We used generalized linear models to compare the relative influence of human, vegetation, climate, and topographic variables on fire occurrence in the United States, as measured by MODIS active fire detections collected between 2000 and 2006. We constructed models for all fires and for large fires only and generated predictive maps to quantify fire occurrence probabilities. Areas with high fire occurrence probabilities were widespread in the Southeast, and localized in the Mountain West, particularly in southern California, Arizona, and New Mexico. Probabilities for large-fire occurrence were generally lower, but hot spots existed in the western and south-central United States The probability of fire occurrence is a critical component of fire risk assessments, in addition to vegetation type, fire behavior, and the values at risk. Many of the hot spots we identified have extensive development in the wildland–urban interface and are near large metropolitan areas. Our results demonstrated that human variables were important predictors of both all fires and large fires and frequently exhibited nonlinear relationships. However, vegetation, climate, and topography were also significant variables in most ecoregions. If recent housing growth trends and fire occurrence patterns continue, these areas will continue to challenge policies and management efforts seeking to balance the risks generated by wildfires with the ecological benefits of fire.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ESA","doi":"10.1890/12-1816.1","usgsCitation":"Hawbaker, T., Radeloff, V., Stewart, S.I., Hammer, R.B., Keuler, N., and Clayton, M.K., 2013, Human and biophysical influences on fire occurrence in the United States: Ecological Applications, v. 23, no. 3, p. 565-582, https://doi.org/10.1890/12-1816.1.","productDescription":"18 p.","startPage":"565","endPage":"582","ipdsId":"IP-042253","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":273212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273101,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/12-1816.1"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","volume":"23","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51aefe59e4b08a3322c2c264","contributors":{"authors":[{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":479232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Radeloff, Volker C.","contributorId":76169,"corporation":false,"usgs":true,"family":"Radeloff","given":"Volker C.","affiliations":[],"preferred":false,"id":479234,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, Susan I.","contributorId":78973,"corporation":false,"usgs":true,"family":"Stewart","given":"Susan","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":479236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hammer, Roger B.","contributorId":9555,"corporation":false,"usgs":true,"family":"Hammer","given":"Roger","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":479233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keuler, Nicholas S.","contributorId":102771,"corporation":false,"usgs":true,"family":"Keuler","given":"Nicholas S.","affiliations":[],"preferred":false,"id":479237,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clayton, Murray K.","contributorId":78631,"corporation":false,"usgs":true,"family":"Clayton","given":"Murray","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":479235,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70046263,"text":"ofr20131111 - 2013 - Development of a numerical model to simulate groundwater flow in the shallow aquifer system of Assateague Island, Maryland and Virginia","interactions":[],"lastModifiedDate":"2018-05-17T13:28:28","indexId":"ofr20131111","displayToPublicDate":"2013-06-04T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1111","title":"Development of a numerical model to simulate groundwater flow in the shallow aquifer system of Assateague Island, Maryland and Virginia","docAbstract":"<p>A three-dimensional groundwater-flow model was developed for Assateague Island in eastern Maryland and Virginia to simulate both groundwater flow and solute (salt) transport to evaluate the groundwater system response to sea-level rise. The model was constructed using geologic and spatial information to represent the island geometry, boundaries, and physical properties and was calibrated using an inverse modeling parameter-estimation technique. An initial transient solute-transport simulation was used to establish the freshwater-saltwater boundary for a final calibrated steady-state model of groundwater flow. This model was developed as part of an ongoing investigation by the U.S. Geological Survey Climate and Land Use Change Research and Development Program to improve capabilities for predicting potential climate-change effects and provide the necessary tools for adaptation and mitigation of potentially adverse impacts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131111","usgsCitation":"Masterson, J., Fienen, M., Gesch, D.B., and Carlson, C.S., 2013, Development of a numerical model to simulate groundwater flow in the shallow aquifer system of Assateague Island, Maryland and Virginia: U.S. Geological Survey Open-File Report 2013-1111, vi, 34 p., https://doi.org/10.3133/ofr20131111.","productDescription":"vi, 34 p.","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":273221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131111.gif"},{"id":273217,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1111/pdf/ofr2013-1111_report_508.pdf"},{"id":273216,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1111/"}],"otherGeospatial":"Assateague Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.4376220703125,\n              37.83798775896515\n            ],\n            [\n              -75.34698486328125,\n              38.07620357665235\n            ],\n            [\n              -75.1629638671875,\n              38.35888785866677\n            ],\n            [\n              -75.0421142578125,\n              38.51378825951165\n            ],\n            [\n              -75.00640869140625,\n              38.417014454352035\n            ],\n            [\n              -75.234375,\n              37.898697801966094\n            ],\n            [\n              -75.4376220703125,\n              37.83798775896515\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51aefe58e4b08a3322c2c24c","contributors":{"authors":[{"text":"Masterson, John P. 0000-0003-3202-4413 jpmaster@usgs.gov","orcid":"https://orcid.org/0000-0003-3202-4413","contributorId":1865,"corporation":false,"usgs":true,"family":"Masterson","given":"John P.","email":"jpmaster@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":479349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":479347,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gesch, Dean B. 0000-0002-8992-4933 gesch@usgs.gov","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":2956,"corporation":false,"usgs":true,"family":"Gesch","given":"Dean","email":"gesch@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":479350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carlson, Carl S. 0000-0001-7142-3519 cscarlso@usgs.gov","orcid":"https://orcid.org/0000-0001-7142-3519","contributorId":1694,"corporation":false,"usgs":true,"family":"Carlson","given":"Carl","email":"cscarlso@usgs.gov","middleInitial":"S.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479348,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046288,"text":"70046288 - 2013 - Controls of biological soil crust cover and composition shift with succession in sagebrush shrub-steppe","interactions":[],"lastModifiedDate":"2013-06-04T21:07:50","indexId":"70046288","displayToPublicDate":"2013-06-04T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Controls of biological soil crust cover and composition shift with succession in sagebrush shrub-steppe","docAbstract":"Successional stage may determine strength and causal direction of interactions among abiotic and biotic factors; e.g., species that facilitate the establishment of other species may later compete with them. We evaluated multivariate hypotheses about abiotic and biotic factors shaping biological soil crusts (BSCs) in early and late successional stages. We surveyed vegetation and BSC in the shrub-steppe ecosystem of the Columbia Basin. We analyzed the relationships with bryophyte and lichen covers using structural equation models, and analyzed the relationships with BSC composition using Indicator Species Analysis and distance-based linear models. Cover, indicator species, and composition varied with successional stage. Increasing elevation and bryophyte cover had higher lichen cover early in succession; these relationships were negative in the later successional stage. Lichen cover did not appear to impede B. tectorum cover, but B. tectorum appeared to strongly negatively affect lichen cover in both stages. Biological soil crust composition varied with bunchgrass cover in the early successional stage, but with elevation and B. tectorum cover later in succession. Our findings support the hypotheses that as succession progresses, the strength and direction of certain community interactions shift, and B. tectorum leads to reductions in biological soil crust cover regardless of successional stage.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Arid Environments","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2013.01.013","usgsCitation":"Dettweiler-Robinson, E., Bakker, J., and Grace, J., 2013, Controls of biological soil crust cover and composition shift with succession in sagebrush shrub-steppe: Journal of Arid Environments, v. 94, p. 96-104, https://doi.org/10.1016/j.jaridenv.2013.01.013.","productDescription":"9 p.","startPage":"96","endPage":"104","ipdsId":"IP-034822","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":273291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273286,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jaridenv.2013.01.013"}],"volume":"94","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51aefe57e4b08a3322c2c248","contributors":{"authors":[{"text":"Dettweiler-Robinson, E.","contributorId":59329,"corporation":false,"usgs":true,"family":"Dettweiler-Robinson","given":"E.","affiliations":[],"preferred":false,"id":479380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bakker, J.D.","contributorId":78635,"corporation":false,"usgs":true,"family":"Bakker","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":479381,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grace, J.B. 0000-0001-6374-4726","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":38938,"corporation":false,"usgs":true,"family":"Grace","given":"J.B.","affiliations":[],"preferred":false,"id":479379,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046259,"text":"70046259 - 2013 - Pathophysiology of white-nose syndrome in bats: A mechanistic model linking wing damage to mortality","interactions":[],"lastModifiedDate":"2022-04-06T15:47:58.145108","indexId":"70046259","displayToPublicDate":"2013-06-04T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1028,"text":"Biology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Pathophysiology of white-nose syndrome in bats: A mechanistic model linking wing damage to mortality","docAbstract":"<p>White-nose syndrome is devastating North American bat populations but we lack basic information on disease mechanisms. Altered blood physiology owing to epidermal invasion by the fungal pathogen<span>&nbsp;</span><i>Geomyces destructans</i><span>&nbsp;</span>(<i>Gd</i>) has been hypothesized as a cause of disrupted torpor patterns of affected hibernating bats, leading to mortality. Here, we present data on blood electrolyte concentration, haematology and acid–base balance of hibernating little brown bats,<span>&nbsp;</span><i>Myotis lucifugus</i>, following experimental inoculation with<span>&nbsp;</span><i>Gd</i>. Compared with controls, infected bats showed electrolyte depletion (i.e. lower plasma sodium), changes in haematology (i.e. increased haematocrit and decreased glucose) and disrupted acid–base balance (i.e. lower CO<sub>2</sub><span>&nbsp;</span>partial pressure and bicarbonate). These findings indicate hypotonic dehydration, hypovolaemia and metabolic acidosis. We propose a mechanistic model linking tissue damage to altered homeostasis and morbidity/mortality.</p>","language":"English","publisher":"Royal Society Publishing","doi":"10.1098/rsbl.2013.0177","usgsCitation":"Warnecke, L., Turner, J.M., Bollinger, T., Misra, V., Cryan, P., Blehert, D., Wibbelt, G., and Willis, C.K., 2013, Pathophysiology of white-nose syndrome in bats: A mechanistic model linking wing damage to mortality: Biology Letters, v. 9, no. 4, 20130177, 5 p., https://doi.org/10.1098/rsbl.2013.0177.","productDescription":"20130177, 5 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044166","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":473777,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1098/rsbl.2013.0177","text":"External 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America\"}}]}","volume":"9","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-08-23","publicationStatus":"PW","scienceBaseUri":"51aefe5ae4b08a3322c2c26c","contributors":{"authors":[{"text":"Warnecke, Lisa","contributorId":51166,"corporation":false,"usgs":true,"family":"Warnecke","given":"Lisa","email":"","affiliations":[],"preferred":false,"id":479334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turner, James M.","contributorId":50419,"corporation":false,"usgs":true,"family":"Turner","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":479333,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bollinger, Trent K.","contributorId":89024,"corporation":false,"usgs":true,"family":"Bollinger","given":"Trent K.","affiliations":[],"preferred":false,"id":479337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Misra, Vikram","contributorId":52846,"corporation":false,"usgs":true,"family":"Misra","given":"Vikram","email":"","affiliations":[],"preferred":false,"id":479335,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cryan, Paul M. 0000-0002-2915-8894","orcid":"https://orcid.org/0000-0002-2915-8894","contributorId":99685,"corporation":false,"usgs":true,"family":"Cryan","given":"Paul M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":479339,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":1816,"corporation":false,"usgs":true,"family":"Blehert","given":"David S.","email":"dblehert@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":479332,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wibbelt, Gudrun","contributorId":72640,"corporation":false,"usgs":true,"family":"Wibbelt","given":"Gudrun","affiliations":[],"preferred":false,"id":479336,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Willis, Craig K. R.","contributorId":92551,"corporation":false,"usgs":true,"family":"Willis","given":"Craig","email":"","middleInitial":"K. R.","affiliations":[],"preferred":false,"id":479338,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70045505,"text":"70045505 - 2013 - Heterogeneous rupture in the great Cascadia earthquake of 1700 inferred from coastal subsidence estimates","interactions":[],"lastModifiedDate":"2013-07-01T09:59:20","indexId":"70045505","displayToPublicDate":"2013-06-03T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Heterogeneous rupture in the great Cascadia earthquake of 1700 inferred from coastal subsidence estimates","docAbstract":"Past earthquake rupture models used to explain paleoseismic estimates of coastal subsidence during the great A.D. 1700 Cascadia earthquake have assumed a uniform slip distribution along the megathrust. Here we infer heterogeneous slip for the Cascadia margin in A.D. 1700 that is analogous to slip distributions during instrumentally recorded great subduction earthquakes worldwide. The assumption of uniform distribution in previous rupture models was due partly to the large uncertainties of then available paleoseismic data used to constrain the models. In this work, we use more precise estimates of subsidence in 1700 from detailed tidal microfossil studies. We develop a 3-D elastic dislocation model that allows the slip to vary both along strike and in the dip direction. Despite uncertainties in the updip and downdip slip extensions, the more precise subsidence estimates are best explained by a model with along-strike slip heterogeneity, with multiple patches of high-moment release separated by areas of low-moment release. For example, in A.D. 1700, there was very little slip near Alsea Bay, Oregon (~44.4°N), an area that coincides with a segment boundary previously suggested on the basis of gravity anomalies. A probable subducting seamount in this area may be responsible for impeding rupture during great earthquakes. Our results highlight the need for more precise, high-quality estimates of subsidence or uplift during prehistoric earthquakes from the coasts of southern British Columbia, northern Washington (north of 47°N), southernmost Oregon, and northern California (south of 43°N), where slip distributions of prehistoric earthquakes are poorly constrained.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1002/jgrb.50101","usgsCitation":"Wang, P., Engelhart, S.E., Wang, K., Hawkes, A., Horton, B.P., Nelson, A.R., and Witter, R., 2013, Heterogeneous rupture in the great Cascadia earthquake of 1700 inferred from coastal subsidence estimates: Journal of Geophysical Research B: Solid Earth, v. 118, no. 5, p. 2460-2473, https://doi.org/10.1002/jgrb.50101.","productDescription":"14 p.","startPage":"2460","endPage":"2473","ipdsId":"IP-043739","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":473779,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrb.50101","text":"Publisher Index Page"},{"id":273088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273086,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrb.50101"}],"country":"United States;Canada","state":"British Columbia;Washington;Oregon;California","otherGeospatial":"Cascadia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -139.1,32.5 ], [ -139.1,60.0 ], [ -114.1,60.0 ], [ -114.1,32.5 ], [ -139.1,32.5 ] ] ] } } ] }","volume":"118","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"51adace2e4b07c214e64bcbf","contributors":{"authors":[{"text":"Wang, Pei-Ling","contributorId":44066,"corporation":false,"usgs":true,"family":"Wang","given":"Pei-Ling","email":"","affiliations":[],"preferred":false,"id":477663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engelhart, Simon E.","contributorId":60104,"corporation":false,"usgs":false,"family":"Engelhart","given":"Simon","email":"","middleInitial":"E.","affiliations":[{"id":6923,"text":"University of Rhode Island, Kingston, RI","active":true,"usgs":false}],"preferred":false,"id":477664,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Kelin","contributorId":15266,"corporation":false,"usgs":true,"family":"Wang","given":"Kelin","affiliations":[],"preferred":false,"id":477661,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawkes, Andrea D.","contributorId":20240,"corporation":false,"usgs":true,"family":"Hawkes","given":"Andrea D.","affiliations":[],"preferred":false,"id":477662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horton, Benjamin P.","contributorId":63641,"corporation":false,"usgs":true,"family":"Horton","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":477665,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nelson, Alan R. 0000-0001-7117-7098 anelson@usgs.gov","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":812,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","email":"anelson@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":477659,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":477660,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70046235,"text":"70046235 - 2013 - The timing of scour and fill in a gravel-bedded river measured with buried accelerometers","interactions":[],"lastModifiedDate":"2016-05-27T13:26:16","indexId":"70046235","displayToPublicDate":"2013-06-03T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"The timing of scour and fill in a gravel-bedded river measured with buried accelerometers","docAbstract":"<p>A device that measures the timing of streambed scour and the duration of sediment mobilization at specific depths of a streambed was developed using data-logging accelerometers placed within the gravel substrate of the Cedar River, Washington, USA. Each accelerometer recorded its orientation every 20 min and remained stable until the surrounding gravel matrix mobilized as sediment was transported downstream and scour reached the level of the accelerometer. The accelerometer scour monitors were deployed at 26 locations in salmon-spawning habitat during the 2010&ndash;2011 flood season to record when the streambed was scoured to the depth of typical egg-pocket deposition. Scour was recorded at one location during a moderate high-flow event (65 m<sup>3</sup>/s; 1.25&ndash;1.5-year recurrence interval) and at 17 locations during a larger high-flow event (159 m<sup>3</sup>/s; 7-year recurrence interval). Accelerometer scour monitors recorded periods of intermittent sediment mobilization and stability within a high-flow event providing insight into the duration of scour. Most scour was recorded during the rising limb and at the peak of a flood hydrograph, though some scour occurred during sustained high flows following the peak of the flood hydrograph.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.05.012","usgsCitation":"Gendaszek, A.S., Magirl, C.S., Czuba, C.R., and Konrad, C.P., 2013, The timing of scour and fill in a gravel-bedded river measured with buried accelerometers: Journal of Hydrology, v. 495, p. 186-196, https://doi.org/10.1016/j.jhydrol.2013.05.012.","productDescription":"11 p.","startPage":"186","endPage":"196","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044142","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":273131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273130,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2013.05.012"}],"volume":"495","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51adace4e4b07c214e64bccf","contributors":{"authors":[{"text":"Gendaszek, Andrew S. 0000-0002-2373-8986 agendasz@usgs.gov","orcid":"https://orcid.org/0000-0002-2373-8986","contributorId":3509,"corporation":false,"usgs":true,"family":"Gendaszek","given":"Andrew","email":"agendasz@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magirl, Christopher S. 0000-0002-9922-6549 magirl@usgs.gov","orcid":"https://orcid.org/0000-0002-9922-6549","contributorId":1822,"corporation":false,"usgs":true,"family":"Magirl","given":"Christopher","email":"magirl@usgs.gov","middleInitial":"S.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Czuba, Christiana R. cczuba@usgs.gov","contributorId":4555,"corporation":false,"usgs":true,"family":"Czuba","given":"Christiana","email":"cczuba@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":479251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479248,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045487,"text":"70045487 - 2013 - Grizzly bear predation links the loss of native trout to the demography of migratory elk in Yellowstone","interactions":[],"lastModifiedDate":"2016-04-08T12:01:04","indexId":"70045487","displayToPublicDate":"2013-06-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Grizzly bear predation links the loss of native trout to the demography of migratory elk in Yellowstone","docAbstract":"<p>The loss of aquatic subsidies such as spawning salmonids is known to threaten a number of terrestrial predators, but the effects on alternative prey species are poorly understood. At the heart of the Greater Yellowstone ecosystem, an invasion of lake trout has driven a dramatic decline of native cutthroat trout that migrate up the shallow tributaries of Yellowstone Lake to spawn each spring. We explore whether this decline has amplified the effect of a generalist consumer, the grizzly bear, on populations of migratory elk that summer inside Yellowstone National Park (YNP). Recent studies of bear diets and elk populations indicate that the decline in cutthroat trout has contributed to increased predation by grizzly bears on the calves of migratory elk. Additionally, a demographic model that incorporates the increase in predation suggests that the magnitude of this diet shift has been sufficient to reduce elk calf recruitment (4&ndash;16%) and population growth (2&ndash;11%). The disruption of this aquatic&ndash;terrestrial linkage could permanently alter native species interactions in YNP. Although many recent ecological changes in YNP have been attributed to the recovery of large carnivores&mdash;particularly wolves&mdash;our work highlights a growing role of human impacts on the foraging behaviour of grizzly bears.</p>","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2013.0870","usgsCitation":"Middleton, A., Morrison, T.A., Fortin, J., Robbins, C.T., Proffitt, K.M., White, P., McWhirter, D.E., Koel, T., Brimeyer, D.G., Fairbanks, W.S., and Kauffman, M., 2013, Grizzly bear predation links the loss of native trout to the demography of migratory elk in Yellowstone: Proceedings of the Royal Society B: Biological Sciences, v. 280, no. 1762, 20130870, https://doi.org/10.1098/rspb.2013.0870.","productDescription":"20130870","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043027","costCenters":[],"links":[{"id":473780,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2013.0870","text":"Publisher Index Page"},{"id":273071,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273070,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1098/rspb.2013.0870"}],"country":"United States","otherGeospatial":"Yellowstone National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.16,44.13 ], [ -111.16,45.11 ], [ -109.83,45.11 ], [ -109.83,44.13 ], [ -111.16,44.13 ] ] ] } } ] }","volume":"280","issue":"1762","noUsgsAuthors":false,"publicationDate":"2013-07-07","publicationStatus":"PW","scienceBaseUri":"51ac5b4fe4b0cc85b6ed6b39","contributors":{"authors":[{"text":"Middleton, Arthur D.","contributorId":99440,"corporation":false,"usgs":true,"family":"Middleton","given":"Arthur D.","affiliations":[],"preferred":false,"id":477614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morrison, Thomas A.","contributorId":72277,"corporation":false,"usgs":true,"family":"Morrison","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":477610,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fortin, Jennifer K.","contributorId":99030,"corporation":false,"usgs":true,"family":"Fortin","given":"Jennifer K.","affiliations":[],"preferred":false,"id":477613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robbins, Charles T.","contributorId":32436,"corporation":false,"usgs":false,"family":"Robbins","given":"Charles","email":"","middleInitial":"T.","affiliations":[{"id":5132,"text":"Washington State University, Pullman","active":true,"usgs":false}],"preferred":false,"id":477608,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Proffitt, Kelly M.","contributorId":106783,"corporation":false,"usgs":true,"family":"Proffitt","given":"Kelly","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":477616,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, P.J.","contributorId":91436,"corporation":false,"usgs":true,"family":"White","given":"P.J.","affiliations":[],"preferred":false,"id":477612,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McWhirter, Douglas E.","contributorId":90623,"corporation":false,"usgs":true,"family":"McWhirter","given":"Douglas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":477611,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Koel, Todd M.","contributorId":100782,"corporation":false,"usgs":true,"family":"Koel","given":"Todd M.","affiliations":[{"id":36976,"text":"U.S. National Park Service","active":true,"usgs":false}],"preferred":false,"id":477615,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brimeyer, Douglas G.","contributorId":20637,"corporation":false,"usgs":true,"family":"Brimeyer","given":"Douglas","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":477607,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fairbanks, W. Sue","contributorId":64982,"corporation":false,"usgs":true,"family":"Fairbanks","given":"W.","email":"","middleInitial":"Sue","affiliations":[],"preferred":false,"id":477609,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900 mkauffman@usgs.gov","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":2963,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew J.","email":"mkauffman@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":477606,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70040561,"text":"70040561 - 2013 - Variations in surface water-ground water interactions along a headwater mountain stream : comparisons between transient storage and water balance analyses","interactions":[],"lastModifiedDate":"2014-02-26T15:20:53","indexId":"70040561","displayToPublicDate":"2013-06-01T15:11:52","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Variations in surface water-ground water interactions along a headwater mountain stream : comparisons between transient storage and water balance analyses","docAbstract":"The accumulation of discharge along a stream valley is frequently assumed to be the primary control on solute transport processes. Relationships of both increasing and decreasing transient storage, and decreased gross losses of stream water have been reported with increasing discharge; however, we have yet to validate these relationships with extensive ﬁeld study. We conducted transient storage and mass recovery analyses of artiﬁcial tracer studies completed for 28 contiguous 100 m reaches along a stream valley, repeated under four base-ﬂow conditions. We calculated net and gross gains and losses, temporal moments of tracer breakthrough curves, and best ﬁt transient storage model parameters (with uncertainty estimates) for 106 individual tracer injections. Results supported predictions that gross loss of channel water would decrease with increased discharge. However, results showed no clear relationship between discharge and transient storage, and further analysis of solute tracer methods demonstrated that the lack of this relation may be explained by uncertainty and equiﬁnality in the transient storage model framework. Furthermore, comparison of water balance and transient storage approaches reveals complications in clear interpretation of either method due to changes in advective transport time, which sets a the temporal boundary separating transient storage and channel water balance. We have little ability to parse this limitation of solute tracer methods from the physical processes we seek to study. We suggest the combined analysis of both transient storage and channel water balance more completely characterizes transport of solutes in stream networks than can be inferred from either method alone.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/wrcr.20148","usgsCitation":"Ward, A.S., Payn, R.A., Gooseff, M.N., McGlynn, B.L., Bencala, K.E., Kelleher, C.A., Wondzell, S.M., and Wagener, T., 2013, Variations in surface water-ground water interactions along a headwater mountain stream : comparisons between transient storage and water balance analyses: Water Resources Research, v. 49, p. 3359-3374, https://doi.org/10.1002/wrcr.20148.","productDescription":"16 p.","startPage":"3359","endPage":"3374","ipdsId":"IP-038702","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true}],"links":[{"id":473782,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20148","text":"Publisher Index Page"},{"id":282865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282864,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20148"}],"country":"United States","state":"Montana","otherGeospatial":"Tenderfoot Creek Experimental Forest","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.892,46.92 ], [ -110.892,46.93 ], [ -110.891,46.93 ], [ -110.891,46.92 ], [ -110.892,46.92 ] ] ] } } ] }","volume":"49","noUsgsAuthors":false,"publicationDate":"2013-06-14","publicationStatus":"PW","scienceBaseUri":"53cd7afbe4b0b2908510dd5d","contributors":{"authors":[{"text":"Ward, Adam S.","contributorId":11508,"corporation":false,"usgs":true,"family":"Ward","given":"Adam","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":468530,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Payn, Robert A.","contributorId":36461,"corporation":false,"usgs":true,"family":"Payn","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":468532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gooseff, Michael N.","contributorId":71880,"corporation":false,"usgs":true,"family":"Gooseff","given":"Michael","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":468534,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGlynn, Brian L.","contributorId":83012,"corporation":false,"usgs":true,"family":"McGlynn","given":"Brian","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":468536,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bencala, Kenneth E. kbencala@usgs.gov","contributorId":1541,"corporation":false,"usgs":true,"family":"Bencala","given":"Kenneth","email":"kbencala@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":468529,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kelleher, Christa A.","contributorId":46417,"corporation":false,"usgs":true,"family":"Kelleher","given":"Christa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":468533,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wondzell, Steven M.","contributorId":80189,"corporation":false,"usgs":true,"family":"Wondzell","given":"Steven","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":468535,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wagener, Thorsten","contributorId":22658,"corporation":false,"usgs":true,"family":"Wagener","given":"Thorsten","affiliations":[],"preferred":false,"id":468531,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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