{"pageNumber":"648","pageRowStart":"16175","pageSize":"25","recordCount":46677,"records":[{"id":70043233,"text":"70043233 - 2011 - Characterization of the Sonoran desert as a radiometric calibration target for Earth observing sensors","interactions":[],"lastModifiedDate":"2013-04-20T21:47:20","indexId":"70043233","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2172,"text":"Journal of Applied Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of the Sonoran desert as a radiometric calibration target for Earth observing sensors","docAbstract":"To provide highly accurate quantitative measurements of the Earth's surface, a comprehensive calibration and validation of the satellite sensors is required. The NASA Moderate Resolution Imaging Spectroradiometer (MODIS) Characterization Support Team, in collaboration with United States Geological Survey, Earth Resources Observation and Science Center, has previously demonstrated the use of African desert sites to monitor the long-term calibration stability of Terra MODIS and Landsat 7 (L7) Enhanced Thematic Mapper plus (ETM+). The current study focuses on evaluating the suitability of the Sonoran Desert test site for post-launch long-term radiometric calibration as well as cross-calibration purposes. Due to the lack of historical and on-going in situ ground measurements, the Sonoran Desert is not usually used for absolute calibration. An in-depth evaluation (spatial, temporal, and spectral stability) of this site using well calibrated L7 ETM+ measurements and local climatology data has been performed. The Sonoran Desert site produced spatial variability of about 3 to 5% in the reflective solar regions, and the temporal variations of the site after correction for view-geometry impacts were generally around 3%. The results demonstrate that, barring the impacts due to occasional precipitation, the Sonoran Desert site can be effectively used for cross-calibration and long-term stability monitoring of satellite sensors, thus, providing a good test site in the western hemisphere.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SPIE","publisherLocation":"http://spie.org/","doi":"10.1117/1.3613963","usgsCitation":"Angal, A., Chander, G., Xiong, X., Choi, T., and Wu, A., 2011, Characterization of the Sonoran desert as a radiometric calibration target for Earth observing sensors: Journal of Applied Remote Sensing, v. 5, no. 1, 059502, https://doi.org/10.1117/1.3613963.","productDescription":"059502","ipdsId":"IP-031051","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474704,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1117/1.3613963","text":"Publisher Index Page"},{"id":271300,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271299,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1117/1.3613963"}],"country":"United States;Mexico","otherGeospatial":"Sonoran Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.0,22.65 ], [ -119.0,34.87 ], [ -108.5,34.87 ], [ -108.5,22.65 ], [ -119.0,22.65 ] ] ] } } ] }","volume":"5","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5173b8e4e4b0e619a5806ec8","contributors":{"authors":[{"text":"Angal, Amit","contributorId":67394,"corporation":false,"usgs":true,"family":"Angal","given":"Amit","email":"","affiliations":[],"preferred":false,"id":473200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":473197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xiong, Xiaoxiong","contributorId":15088,"corporation":false,"usgs":true,"family":"Xiong","given":"Xiaoxiong","email":"","affiliations":[],"preferred":false,"id":473198,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Choi, Tae-young","contributorId":89036,"corporation":false,"usgs":true,"family":"Choi","given":"Tae-young","affiliations":[],"preferred":false,"id":473201,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wu, Aisheng","contributorId":65362,"corporation":false,"usgs":true,"family":"Wu","given":"Aisheng","email":"","affiliations":[],"preferred":false,"id":473199,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044133,"text":"70044133 - 2011 - Contexts for change in alpine tundra","interactions":[],"lastModifiedDate":"2021-05-20T20:19:13.153547","indexId":"70044133","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3059,"text":"Physical Geography","active":true,"publicationSubtype":{"id":10}},"title":"Contexts for change in alpine tundra","docAbstract":"<p><span>Because alpine tundra is responding to climate change, a need exists to understand the meaning of observed changes. To provide context for such interpretation, the relevance of niche and neutral theories of biogeography and the continuum and classification approaches to biogeographic description are assessed. Two extensive studies of alpine tundra, from the Indian Peaks area, Colorado and Glacier National Park, Montana, are combined. The data are ordinated to describe relations. The pattern that emerges is one of a continuum of vegetation, but with the distinctions one might expect from distant sites. The relationships of the similarity of vegetation on all possible pairs of sites to the environmental differences and geographic distances are analyzed using Mantel correlations. Because distance and environmental differences in climate between the two sites are correlated, partial correlations are weak but still significant. More advanced analyses are suggested for this environment prior to interpretation of monitoring efforts such as GLORIA.</span></p>","language":"English","publisher":"Taylor & Francis","publisherLocation":"Columbia, MD","doi":"10.2747/0272-3646.32.2.97","usgsCitation":"Malanson, G.P., Rose, J., Schroeder, P.J., and Fagre, D.B., 2011, Contexts for change in alpine tundra: Physical Geography, v. 32, no. 2, p. 97-113, https://doi.org/10.2747/0272-3646.32.2.97.","productDescription":"17 p.","startPage":"97","endPage":"113","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026906","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":271336,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Montana","otherGeospatial":"Glacier National Park, Indian Peaks Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.6038818359375,\n              48.09275716032736\n            ],\n            [\n              -114.6038818359375,\n              49.005447494058096\n            ],\n            [\n              -113.0438232421875,\n              49.005447494058096\n            ],\n            [\n              -113.0438232421875,\n              48.09275716032736\n            ],\n            [\n              -114.6038818359375,\n              48.09275716032736\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.07025146484375,\n              39.72197606377427\n            ],\n            [\n              -106.07025146484375,\n              40.348637376031725\n            ],\n            [\n              -105.35888671875,\n              40.348637376031725\n            ],\n            [\n              -105.35888671875,\n              39.72197606377427\n            ],\n            [\n              -106.07025146484375,\n              39.72197606377427\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"32","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"51765be2e4b0f989f99e00b1","contributors":{"authors":[{"text":"Malanson, George P.","contributorId":36768,"corporation":false,"usgs":true,"family":"Malanson","given":"George","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":474851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":105624,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan P.","email":"jprose@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":474852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schroeder, P. Jason","contributorId":29721,"corporation":false,"usgs":true,"family":"Schroeder","given":"P.","email":"","middleInitial":"Jason","affiliations":[],"preferred":false,"id":474850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fagre, Daniel B. 0000-0001-8552-9461 dan_fagre@usgs.gov","orcid":"https://orcid.org/0000-0001-8552-9461","contributorId":2036,"corporation":false,"usgs":true,"family":"Fagre","given":"Daniel","email":"dan_fagre@usgs.gov","middleInitial":"B.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":474849,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044855,"text":"70044855 - 2011 - Exploration review","interactions":[],"lastModifiedDate":"2013-04-29T08:43:02","indexId":"70044855","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Exploration review","docAbstract":"This summary of international mineral exploration activities for the year 2010 draws upon available information from industry sources, published literature and U.S. Geological Survey (USGS) specialists. The summary provides data on exploration budgets by region and mineral commodity, identifies significant mineral discoveries and areas of mineral exploration, discusses government programs affecting the mineral exploration industry and presents analyses of exploration activities performed by the mineral industry.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Wilburn, D., Vasil, R., and Nolting, A., 2011, Exploration review: Mining Engineering, v. 63, no. 4, p. 58-75.","productDescription":"18 p.","startPage":"58","endPage":"75","ipdsId":"IP-028726","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517f9668e4b0e41721f7a354","contributors":{"authors":[{"text":"Wilburn, D.R.","contributorId":98911,"corporation":false,"usgs":true,"family":"Wilburn","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":476412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vasil, R.L.","contributorId":23827,"corporation":false,"usgs":true,"family":"Vasil","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":476411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nolting, A.","contributorId":22225,"corporation":false,"usgs":true,"family":"Nolting","given":"A.","email":"","affiliations":[],"preferred":false,"id":476410,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044448,"text":"70044448 - 2011 - Historical legacies, information and contemporary water science and management","interactions":[],"lastModifiedDate":"2013-06-03T19:16:41","indexId":"70044448","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Historical legacies, information and contemporary water science and management","docAbstract":"Hydrologic science has largely built its understanding of the hydrologic cycle using contemporary data sources (i.e., last 100 years). However, as we try to meet water demand over the next 100 years at scales from local to global, we need to expand our scope and embrace other data that address human activities and the alteration of hydrologic systems. For example, the accumulation of human impacts on water systems requires exploration of incompletely documented eras. When examining these historical periods, basic questions relevant to modern systems arise: (1) How is better information incorporated into water management strategies? (2) Does any point in the past (e.g., colonial/pre-European conditions in North America) provide a suitable restoration target? and (3) How can understanding legacies improve our ability to plan for future conditions? Beginning to answer these questions indicates the vital need to incorporate disparate data and less accepted methods to meet looming water management challenges.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"MDPI AG","doi":"10.3390/w3020566","usgsCitation":"Bain, D., Arrigo, J.A., Green, M., Pellerin, B., and Vörösmarty, C., 2011, Historical legacies, information and contemporary water science and management: Water, v. 3, no. 2, p. 566-575, https://doi.org/10.3390/w3020566.","productDescription":"10 p.","startPage":"566","endPage":"575","ipdsId":"IP-027060","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":474703,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w3020566","text":"Publisher Index Page"},{"id":273136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273135,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/w3020566"}],"volume":"3","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-05-12","publicationStatus":"PW","scienceBaseUri":"51adbae7e4b07c214e64bd07","contributors":{"authors":[{"text":"Bain, Daniel J.","contributorId":29276,"corporation":false,"usgs":true,"family":"Bain","given":"Daniel J.","affiliations":[],"preferred":false,"id":475629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arrigo, Jennifer A.S.","contributorId":69045,"corporation":false,"usgs":true,"family":"Arrigo","given":"Jennifer","email":"","middleInitial":"A.S.","affiliations":[],"preferred":false,"id":475631,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, Mark B.","contributorId":86231,"corporation":false,"usgs":true,"family":"Green","given":"Mark B.","affiliations":[],"preferred":false,"id":475632,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pellerin, Brian A.","contributorId":58385,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian A.","affiliations":[],"preferred":false,"id":475630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vörösmarty, Charles J.","contributorId":94957,"corporation":false,"usgs":true,"family":"Vörösmarty","given":"Charles J.","affiliations":[],"preferred":false,"id":475633,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044593,"text":"wdr2011 - 2011 - Water-resources data for the United States: water year 2011","interactions":[],"lastModifiedDate":"2013-03-14T13:37:43","indexId":"wdr2011","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":340,"text":"Water Data Report","code":"WDR","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2011","title":"Water-resources data for the United States: water year 2011","docAbstract":"Water resources data are published annually for use by engineers, scientists, managers, educators, and the general public. These archival products supplement direct access to current and historical water data provided by NWISWeb. Beginning with Water Year 2006, annual water data reports are available as individual electronic Site Data Sheets for the entire Nation for retrieval, download, and localized printing on demand. National distribution includes tabular and map interfaces for search, query, display and download of data. From 1962 until 2005, reports were published by State as paper documents, although most reports since the mid-1990s are also available in electronic form through this web page. Reports prior to 1962 were published in occasional USGS Water-Supply Papers and other reports.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wdr2011","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2011, Water-resources data for the United States: water year 2011: U.S. Geological Survey Water Data Report 2011, HTML Document, https://doi.org/10.3133/wdr2011.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":634,"text":"Water Resources Program","active":false,"usgs":true}],"links":[{"id":269344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/wdr2011.jpg"},{"id":269342,"type":{"id":15,"text":"Index Page"},"url":"https://wdr.water.usgs.gov/wy2011/search.jsp"},{"id":269343,"type":{"id":15,"text":"Index Page"},"url":"https://wdr.water.usgs.gov/"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5142f18de4b073a963ff6629","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535455,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044418,"text":"70044418 - 2011 - USGS invasive species solutions","interactions":[],"lastModifiedDate":"2018-09-21T11:24:07","indexId":"70044418","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2837,"text":"Natural Selections","active":true,"publicationSubtype":{"id":10}},"title":"USGS invasive species solutions","docAbstract":"Land managers must meet the invasive species challenge every day, starting with identification of problem species, then the collection of best practices for their control, and finally the implementation of a plan to remove the problem. At each step of the process, the availability of reliable information is essential to success. The U.S. Geological Survey (USGS) has developed a suite of resources for early detection and rapid response, along with data management and sharing.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Selections","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Department of Defense","usgsCitation":"Simpson, A., 2011, USGS invasive species solutions: Natural Selections, v. 2011, no. Spring, p. 9-9.","productDescription":"1 p.","startPage":"9","endPage":"9","ipdsId":"IP-029394","costCenters":[{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":273679,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273678,"type":{"id":11,"text":"Document"},"url":"https://www.dodlegacy.org/Legacy/Documents/634951327226771981NaturalSelections_Spring2011.pdf"}],"volume":"2011","issue":"Spring","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51baecb7e4b02914c2497fbc","contributors":{"authors":[{"text":"Simpson, Annie 0000-0001-8338-5134 asimpson@usgs.gov","orcid":"https://orcid.org/0000-0001-8338-5134","contributorId":127,"corporation":false,"usgs":true,"family":"Simpson","given":"Annie","email":"asimpson@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":475559,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70041884,"text":"70041884 - 2011 - Population dynamics of Lake Ontario lake trout during 1985-2007","interactions":[],"lastModifiedDate":"2013-02-28T11:31:32","indexId":"70041884","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Population dynamics of Lake Ontario lake trout during 1985-2007","docAbstract":"Lake trout <i>Salvelinus namaycush</i> were extirpated from Lake Ontario circa 1950 owing to commercial and recreational fishing, predation by sea lampreys <i>Petromyzon marinus</i>, and habitat degradation. Since the 1970s, substantial efforts have been devoted to reestablishing a self-sustaining population through stocking, sea lamprey control, and harvest reduction. Although a stocking-supported population has been established, only limited natural reproduction has been detected. Since the 1990s, surveys have indicated a continuing decline in overall abundance despite fairly static stocking levels. We constructed a statistical catch-at-age model to describe the dynamics of Lake Ontario lake trout from 1985 to 2007 and explore what factor(s) could be causing the declines in abundance. Model estimates indicated that abundance had declined by approximately 76% since 1985. The factor that appeared most responsible for this was an increase in age-1 natural mortality rates from approximately 0.9 to 2.5 between 1985 and 2002. The largest source of mortality for age-2 and older fish was sea lamprey predation, followed by natural and recreational fishing mortality. Exploitation was low, harvest levels being uncertain and categorized by length rather than age. Accurate predictions of fishery harvest and survey catch per unit effort were obtained despite low harvest levels by using atypical data (e.g., numbers stocked as an absolute measure of recruitment) and a flexible modeling approach. Flexible approaches such as this might allow similar assessments for a wide range of lightly exploited stocks. The mechanisms responsible for declining age-1 lake trout survival are unknown, but the declines were coincident with an increase in the proportion of stocked fish that were of the Seneca strain and a decrease in the overall stocking rate. It is possible that earlier studies suggesting that Seneca strain lake trout would be successful in Lake Ontario are no longer applicable given the large ecosystem changes that have occurred subsequent to invasion by dreissenid mussels.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/02755947.2011.635241","usgsCitation":"Brenden, T.O., Bence, J., Lantry, B.F., Lantry, J.R., and Schaner, T., 2011, Population dynamics of Lake Ontario lake trout during 1985-2007: North American Journal of Fisheries Management, v. 31, no. 5, p. 962-979, https://doi.org/10.1080/02755947.2011.635241.","productDescription":"18 p.","startPage":"962","endPage":"979","ipdsId":"IP-027372","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268545,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2011.635241"},{"id":268546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Ontario","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.1171,43.0971 ], [ -80.1171,44.2941 ], [ -76.0817,44.2941 ], [ -76.0817,43.0971 ], [ -80.1171,43.0971 ] ] ] } } ] }","volume":"31","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-11-29","publicationStatus":"PW","scienceBaseUri":"51308a96e4b04c194073ae2a","contributors":{"authors":[{"text":"Brenden, Travis O.","contributorId":13876,"corporation":false,"usgs":true,"family":"Brenden","given":"Travis","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":470299,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bence, James R.","contributorId":95026,"corporation":false,"usgs":false,"family":"Bence","given":"James R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":470302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lantry, Brian F. 0000-0001-8797-3910 bflantry@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-3910","contributorId":3435,"corporation":false,"usgs":true,"family":"Lantry","given":"Brian","email":"bflantry@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":470298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lantry, Jana R.","contributorId":28495,"corporation":false,"usgs":false,"family":"Lantry","given":"Jana","email":"","middleInitial":"R.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":470300,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schaner, Ted","contributorId":69939,"corporation":false,"usgs":true,"family":"Schaner","given":"Ted","email":"","affiliations":[],"preferred":false,"id":470301,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70042256,"text":"70042256 - 2011 - Estimating the hatchery fraction of a natural population: a Bayesian approach","interactions":[],"lastModifiedDate":"2012-12-30T20:59:30","indexId":"70042256","displayToPublicDate":"2012-12-14T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the hatchery fraction of a natural population: a Bayesian approach","docAbstract":"There is strong and growing interest in estimating the proportion of hatchery fish that are in a natural population (the hatchery fraction). In a sample of fish from the relevant population, some are observed to be marked, indicating their origin as hatchery fish. The observed proportion of marked fish is usually less than the actual hatchery fraction, since the observed proportion is determined by the proportion originally marked, differential survival (usually lower) of marked fish relative to unmarked hatchery fish, and rates of mark retention and detection. Bayesian methods can work well in a setting such as this, in which empirical data are limited but for which there may be considerable expert judgment regarding these values. We explored a Bayesian estimation of the hatchery fraction using Monte Carlo–Markov chain methods. Based on our findings, we created an interactive Excel tool to implement the algorithm, which we have made available for free.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"London, UK","doi":"10.1080/02755947.2011.633687","usgsCitation":"Barber, J.J., Gerow, K.G., Connolly, P., and Singh, S., 2011, Estimating the hatchery fraction of a natural population: a Bayesian approach: North American Journal of Fisheries Management, v. 31, no. 5, p. 934-942, https://doi.org/10.1080/02755947.2011.633687.","productDescription":"9 p.","startPage":"934","endPage":"942","ipdsId":"IP-028454","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":264939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264938,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2011.633687"}],"country":"United States","volume":"31","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-11-29","publicationStatus":"PW","scienceBaseUri":"50e5cff7e4b0a4aa5bb0aee1","contributors":{"authors":[{"text":"Barber, Jarrett J.","contributorId":88626,"corporation":false,"usgs":true,"family":"Barber","given":"Jarrett","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":471124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gerow, Kenneth G.","contributorId":49672,"corporation":false,"usgs":true,"family":"Gerow","given":"Kenneth","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":471123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":471121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Singh, Sarabdeep","contributorId":48458,"corporation":false,"usgs":true,"family":"Singh","given":"Sarabdeep","email":"","affiliations":[],"preferred":false,"id":471122,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045181,"text":"70045181 - 2011 - Nature's Notebook 2010: Data & participant summary","interactions":[],"lastModifiedDate":"2016-05-17T13:53:35","indexId":"70045181","displayToPublicDate":"2012-12-01T03:45:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":95,"text":"USA-NPN Technical Series","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"2011-001","title":"Nature's Notebook 2010: Data & participant summary","docAbstract":"<p>The USA National Phenology Network (USA‐NPN) seeks to engage volunteer observers to collect phenology observations of plants and animals using consistent standards and to contribute to the USANPN National Phenology Database (NPDb). The commencement of 2010 marked the second functional year of&nbsp;<i>Nature&rsquo;s Notebook</i>, the online phenology observation program developed by the National Coordinating Office (NCO) of the USA‐NPN. The addition of animal species for monitoring was a major enhancement to&nbsp;<i>Nature&rsquo;s Notebook&nbsp;</i>in 2010.</p>\n<p>In 2010, with minimal advertising or marketing, 796 new observers registered with&nbsp;<i>Nature&rsquo;s Notebook&nbsp;</i>and 426 observers reported phenology observations on one or more plants or animals via the online interface. Over 200,000 data records were added to the NPDb. Observations were reported on 179 species of plants and 58 species of animals. The plant species most frequently observed include red maple (<i>Acer rubrum</i>), quaking aspen (<i>Populus tremuloides</i>), American beech (<i>Fagus grandifolia</i>), northern red oak (<i>Quercus rubra</i>), and flowering dogwood (<i>Cornus florida</i>). The animal species most frequently observed were American robin (<i>Turdus migratorius</i>), black‐capped chickadee (<i>Poecile&nbsp;</i><i>atricapillus</i>), American goldfinch (<i>Carduelis tristis</i>), bumblebee (<i>Bombus&nbsp;</i>spp.), and white‐tailed deer (<i>Odocoileus virginianus</i>).</p>\n<p>As in 2009, participants tended to stay involved, reporting most phenophases for an average of nearly ten unique dates during the year. In addition, nearly two hundred participants who submitted observations in previous years continued to participate in 2010. This sustained participation suggests that the&nbsp;<i>Nature&rsquo;s Notebook&nbsp;</i>interface and the status monitoring protocols inherent in&nbsp;<i>Nature&rsquo;s Notebook&nbsp;</i>are both conducive to engaging the public and keeping them involved.</p>\n<p>Data submitted by&nbsp;<i>Nature&rsquo;s Notebook&nbsp;</i>participants show patterns that follow latitude and elevation. Multiple years of observations now allow for year‐to‐year comparisons within and across species. As such, these data should be useful to a variety of stakeholders interested in the spatial and temporal patterns of plant and animal activity on a national scale; through time, these data should also empower scientists, resource managers, and the public in decision‐making and adapting to variable and changing climates and environments. Data submitted to<i>Nature&rsquo;s Notebook&nbsp;</i>and supporting metadata are available for download at www.usanpn.org/results/data. Additionally, data visualization tools are available online at www.usanpn.org/results/visualizations.</p>","language":"English","publisher":"USA National Phenology Network","usgsCitation":"Crimmins, T., Rosemartin, A.H., Marsh, R.L., Denny, E.G., Enquist, C., and Weltzin, J., 2011, Nature's Notebook 2010: Data & participant summary: USA-NPN Technical Series 2011-001, 31 p.","productDescription":"31 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035892","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":321338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":321337,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usanpn.org/pubs/reports#USA-NPN_Technical_Series"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"574d65ebe4b07e28b6684903","contributors":{"authors":[{"text":"Crimmins, Theresa","contributorId":103579,"corporation":false,"usgs":false,"family":"Crimmins","given":"Theresa","affiliations":[],"preferred":false,"id":629638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosemartin, Alyssa H.","contributorId":30910,"corporation":false,"usgs":true,"family":"Rosemartin","given":"Alyssa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":629639,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marsh, R. Lee","contributorId":146211,"corporation":false,"usgs":false,"family":"Marsh","given":"R.","email":"","middleInitial":"Lee","affiliations":[{"id":16629,"text":"USA National Phenology Network, SNRE University of Arizona","active":true,"usgs":false}],"preferred":false,"id":629640,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Denny, Ellen G.","contributorId":79803,"corporation":false,"usgs":true,"family":"Denny","given":"Ellen","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":629641,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Enquist, Carolyn A.F.","contributorId":87445,"corporation":false,"usgs":true,"family":"Enquist","given":"Carolyn A.F.","affiliations":[],"preferred":false,"id":629642,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weltzin, Jake F. jweltzin@usgs.gov","contributorId":149476,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake F.","email":"jweltzin@usgs.gov","affiliations":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"preferred":false,"id":629643,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70042031,"text":"70042031 - 2011 - Landscape models of brook trout abundance and distribution in lotic habitat with field validation","interactions":[],"lastModifiedDate":"2012-12-28T12:02:51","indexId":"70042031","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Landscape models of brook trout abundance and distribution in lotic habitat with field validation","docAbstract":"Brook trout <i>Salvelinus fontinalis</i> are native fish in decline owing to environmental changes. Predictions of their potential distribution and a better understanding of their relationship to habitat conditions would enhance the management and conservation of this valuable species. We used over 7,800 brook trout observations throughout New York State and georeferenced, multiscale landscape condition data to develop four regionally specific artificial neural network models to predict brook trout abundance in rivers and streams. Land cover data provided a general signature of human activity, but other habitat variables were resistant to anthropogenic changes (i.e., changing on a geological time scale). The resulting models predict the potential for any stream to support brook trout. The models were validated by holding 20% of the data out as a test set and by comparison with additional field collections from a variety of habitat types. The models performed well, explaining more than 90% of data variability. Errors were often associated with small spatial displacements of predicted values. When compared with the additional field collections (39 sites), 92% of the predictions were off by only a single class from the field-observed abundances. Among “least-disturbed” field collection sites, all predictions were correct or off by a single abundance class, except for one where brown trout <i>Salmo trutta</i> were present. Other degrading factors were evident at most sites where brook trout were absent or less abundant than predicted. The most important habitat variables included landscape slope, stream and drainage network sizes, water temperature, and extent of forest cover. Predicted brook trout abundances were applied to all New York streams, providing a synoptic map of the distribution of brook trout habitat potential. These fish models set benchmarks of best potential for streams to support brook trout under broad-scale human influences and can assist with planning and identification of protection or rehabilitation sites.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis Group","publisherLocation":"London, UK","doi":"10.1080/02755947.2011.593940","usgsCitation":"McKenna, J., and Johnson, J.H., 2011, Landscape models of brook trout abundance and distribution in lotic habitat with field validation: North American Journal of Fisheries Management, v. 31, no. 4, p. 742-756, https://doi.org/10.1080/02755947.2011.593940.","productDescription":"15 p.","startPage":"742","endPage":"756","ipdsId":"IP-023753","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":264883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264882,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2011.593940"}],"country":"United States","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.7621,40.5 ], [ -79.7621,45.0 ], [ -71.8563,45.0 ], [ -71.8563,40.5 ], [ -79.7621,40.5 ] ] ] } } ] }","volume":"31","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-09-08","publicationStatus":"PW","scienceBaseUri":"50df6e6fe4b0dfbe79e6c506","contributors":{"authors":[{"text":"McKenna, James E. Jr.","contributorId":56992,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","suffix":"Jr.","affiliations":[],"preferred":false,"id":470637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":470636,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041600,"text":"70041600 - 2011 - Global Positioning System constraints on crustal deformation before and during the 21 February 2008 Wells, Nevada M6.0 earthquake","interactions":[],"lastModifiedDate":"2018-02-28T16:11:57","indexId":"70041600","displayToPublicDate":"2012-11-26T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":125,"text":"Nevada Bureau of Mines and Geology Special Publication","active":false,"publicationSubtype":{"id":2}},"seriesNumber":"36","title":"Global Positioning System constraints on crustal deformation before and during the 21 February 2008 Wells, Nevada M6.0 earthquake","docAbstract":"Using Global Positioning System (GPS) data from permanent sites and U.S. Geological Survey (USGS) campaign data \nwe have estimated co-seismic displacements and secular background crustal deformation patterns associated with the 21 \nFebruary 2008 Wells Nevada earthquake.  Estimated displacements at nearby permanent GPS sites ELKO (84 km distant) \nand GOSH (81 km distant) are 1.0±0.2 mm and 1.1±0.3 mm, respectively.  The magnitude and direction are in agreement \nwith those predicted from a rupture model based on InSAR measurements of the near-field co-seismic surface \ndisplacement.  Analysis of long GPS time series (>10 years) from the permanent sites within 250 km of the epicenter \nindicate the eastern Nevada Basin and Range undergoes steady tectonic transtension with rates on the order of 1 mm/year \nover approximately 250 km.  The azimuth of maximum horizontal crustal extension is consistent with the azimuth of the \nWells earthquake co-seismic slip vector.  The orientation of crustal shear is consistent with deformation associated with \nPacific/North America plate boundary relative motion seen elsewhere in the Basin and Range.  In response to the event, we \ndeployed a new GPS site with the capability to telemeter high rate, low latency data that will in the future allow for rapid \nestimation of surface displacement should aftershocks or postseismic deformations occur.  We estimated co-seismic \ndisplacements using campaign GPS data collected before and after the event, however in most cases their uncertainties \nwere larger than the offsets.  Better precision in co-seismic displacement could have been achieved for the campaign sites if \nthey had been surveyed more times or over a longer interval to better estimate their pre-event velocity.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The 21 February 2008 Mw 6.0 Wells, Nevada earthquake: A compendium of earthquake-related investigations prepared by the University of Nevada, Reno ","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"Nevada Bureau of Mines and Geology","publisherLocation":"Reno, NV","usgsCitation":"Hammond, W.C., Blewitt, G., Kreemer, C., Murray-Moraleda, J.R., and Svarc, J.L., 2011, Global Positioning System constraints on crustal deformation before and during the 21 February 2008 Wells, Nevada M6.0 earthquake: Nevada Bureau of Mines and Geology Special Publication 36, 16 p.","productDescription":"16 p.","startPage":"181","endPage":"196","additionalOnlineFiles":"N","ipdsId":"IP-012616","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":263899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352150,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.nbmg.unr.edu/The-2008-Wells-earthquake-p/sp036.htm"}],"country":"United States","state":"Nevada","city":"Wells","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.1857,39.8929 ], [ -117.1857,42.0656 ], [ -111.9672,42.0656 ], [ -111.9672,39.8929 ], [ -117.1857,39.8929 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c71285e4b0ebb3997466e9","contributors":{"editors":[{"text":"dePolo, Craig M.","contributorId":112629,"corporation":false,"usgs":true,"family":"dePolo","given":"Craig","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":509110,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"LaPointe, Daphne D.","contributorId":112148,"corporation":false,"usgs":true,"family":"LaPointe","given":"Daphne","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":509109,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Hammond, William C.","contributorId":73735,"corporation":false,"usgs":true,"family":"Hammond","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":469979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blewitt, Geoffrey","contributorId":47660,"corporation":false,"usgs":true,"family":"Blewitt","given":"Geoffrey","email":"","affiliations":[],"preferred":false,"id":469978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kreemer, Corne","contributorId":15902,"corporation":false,"usgs":true,"family":"Kreemer","given":"Corne","email":"","affiliations":[],"preferred":false,"id":469976,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murray-Moraleda, Jessica R.","contributorId":23649,"corporation":false,"usgs":true,"family":"Murray-Moraleda","given":"Jessica","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":469977,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Svarc, Jerry L. 0000-0002-2802-4528 jsvarc@usgs.gov","orcid":"https://orcid.org/0000-0002-2802-4528","contributorId":2413,"corporation":false,"usgs":true,"family":"Svarc","given":"Jerry","email":"jsvarc@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":469975,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70006177,"text":"ds633 - 2011 - A Geo-referenced 3D model of the Juan de Fuca Slab and associated seismicity","interactions":[],"lastModifiedDate":"2013-05-01T20:40:09","indexId":"ds633","displayToPublicDate":"2012-11-08T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"633","title":"A Geo-referenced 3D model of the Juan de Fuca Slab and associated seismicity","docAbstract":"We present a Geographic Information System (GIS) of a new 3-dimensional (3D) model of the subducted Juan de Fuca Plate beneath western North America and associated seismicity of the Cascadia subduction system.  The geo-referenced 3D model was constructed from weighted control points that integrate depth information from hypocenter locations and regional seismic velocity studies. We used the 3D model to differentiate earthquakes that occur above the Juan de Fuca Plate surface from earthquakes that occur below the plate surface.  This GIS project of the Cascadia subduction system supersedes the one previously published by McCrory and others (2006). Our new slab model updates the model with new constraints.  The most significant updates to the model include:  (1) weighted control points to incorporate spatial uncertainty, (2) an additional gridded slab surface based on the Generic Mapping Tools (GMT) Surface program which constructs surfaces based on splines in tension (see expanded description below), (3) double-differenced hypocenter locations in northern California to better constrain slab location there, and (4) revised slab shape based on new hypocenter profiles that incorporate routine depth uncertainties as well as data from new seismic-reflection and seismic-refraction studies.  We also provide a 3D fly-through animation of the model for use as a visualization tool.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds633","usgsCitation":"Blair, J., McCrory, P., Oppenheimer, D.H., and Waldhauser, F., 2011, A Geo-referenced 3D model of the Juan de Fuca Slab and associated seismicity (Originally Posted December 2, 2011; Version 1.1: October 3, 2012; Version 1.2: April 29, 2013): U.S. Geological Survey Data Series 633, Readme File; Animation Folder; Map; Data Folder; Metadata Folder, https://doi.org/10.3133/ds633.","productDescription":"Readme File; Animation Folder; Map; Data Folder; Metadata Folder","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":379,"text":"Menlo Park Science Center","active":false,"usgs":true}],"links":[{"id":116693,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_633.png"},{"id":111012,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/633/","linkFileType":{"id":5,"text":"html"}},{"id":263034,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/633/1_README.txt"},{"id":263035,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/633/DS633_Animation"},{"id":263036,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/633/DS633_Location_Map.pdf"},{"id":263037,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/633/DS633_Data.zip"},{"id":263038,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/633/DS633_Metadata"}],"country":"Canada;United States","state":"British Columbia;California;Oregon;Washington","otherGeospatial":"Juan De Fuca Slab","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -132.74,38.92 ], [ -132.74,52.7 ], [ -116.68,52.7 ], [ -116.68,38.92 ], [ -132.74,38.92 ] ] ] } } ] }","edition":"Originally Posted December 2, 2011; Version 1.1: October 3, 2012; Version 1.2: April 29, 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4956e4b0b290850ef125","contributors":{"authors":[{"text":"Blair, J.L.","contributorId":55857,"corporation":false,"usgs":true,"family":"Blair","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":354015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCrory, P.A.","contributorId":96287,"corporation":false,"usgs":true,"family":"McCrory","given":"P.A.","email":"","affiliations":[],"preferred":false,"id":354016,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oppenheimer, D. H.","contributorId":18395,"corporation":false,"usgs":true,"family":"Oppenheimer","given":"D.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":354013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waldhauser, F.","contributorId":31897,"corporation":false,"usgs":true,"family":"Waldhauser","given":"F.","affiliations":[],"preferred":false,"id":354014,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040559,"text":"70040559 - 2011 - Effects of baseline conditions on the simulated hydrologic response to projected climate change","interactions":[],"lastModifiedDate":"2012-11-01T14:07:01","indexId":"70040559","displayToPublicDate":"2012-10-31T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Effects of baseline conditions on the simulated hydrologic response to projected climate change","docAbstract":"Changes in temperature and precipitation projected from five general circulation models, using one late-twentieth-century and three twenty-first-century emission scenarios, were downscaled to three different baseline conditions. Baseline conditions are periods of measured temperature and precipitation data selected to represent twentieth-century climate. The hydrologic effects of the climate projections are evaluated using the Precipitation-Runoff Modeling System (PRMS), which is a watershed hydrology simulation model. The Almanor Catchment in the North Fork of the Feather River basin, California, is used as a case study. Differences and similarities between PRMS simulations of hydrologic components (i.e., snowpack formation and melt, evapotranspiration, and streamflow) are examined, and results indicate that the selection of a specific time period used for baseline conditions has a substantial effect on some, but not all, hydrologic variables. This effect seems to be amplified in hydrologic variables, which accumulate over time, such as soil-moisture content. Results also indicate that uncertainty related to the selection of baseline conditions should be evaluated using a range of different baseline conditions. This is particularly important for studies in basins with highly variable climate, such as the Almanor Catchment.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth Interactions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Meteorological Society","publisherLocation":"Boston, MA","doi":"10.1175/2011EI378.1","usgsCitation":"Koczot, K.M., Markstrom, S., and Hay, L.E., 2011, Effects of baseline conditions on the simulated hydrologic response to projected climate change: Earth Interactions, v. 15, no. 27, p. 1-23, https://doi.org/10.1175/2011EI378.1.","productDescription":"23 p.","startPage":"1","endPage":"23","numberOfPages":"23","ipdsId":"IP-023602","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":474714,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/2011ei378.1","text":"Publisher Index Page"},{"id":262879,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/2011EI378.1"},{"id":262881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Almanor Catchment;Feather River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.0 ], [ -114.13,42.0 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"15","issue":"27","noUsgsAuthors":false,"publicationDate":"2011-10-03","publicationStatus":"PW","scienceBaseUri":"50db334ee4b0612706009333","contributors":{"authors":[{"text":"Koczot, Kathryn M. 0000-0001-5728-9798 kmkoczot@usgs.gov","orcid":"https://orcid.org/0000-0001-5728-9798","contributorId":2039,"corporation":false,"usgs":true,"family":"Koczot","given":"Kathryn","email":"kmkoczot@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":1986,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven L.","email":"markstro@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":468520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":468519,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003822,"text":"70003822 - 2011 - South Cascade (USA/North Cascades)","interactions":[],"lastModifiedDate":"2012-06-27T01:01:43","indexId":"70003822","displayToPublicDate":"2012-06-26T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1833,"text":"Glacier Mass Balance Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"South Cascade (USA/North Cascades)","docAbstract":"The U.S. Geological Survey has closely monitored this temperate mountain glacier since the late 1950s. During 1958-2007, the glacier retreated about 0.7 km and shrank in area from 2.71 to 1.73 km<sup>2</sup>, although part of the area change was due to separation of contributing ice bodies from the main glacier. Maximum and average glacier thicknesses are about 170 and 80 m, respectively. Year-to-year variations of snow accumulation amounts on the glacier are largely attributable to the regional maritime climate and fluctuating climate conditions of the North Pacific Ocean. Long-term-average precipitation is about 4500 mm and most of that falls as snow during October through May. Average annual air temperature at 1,900 m altitude (the approximate ELA<sub>0</sub>) was estimated to be 1.6&deg;C during 2000-2009. Mass balances are computed yearly by the direct glaciological method. Mass balances measured at selected locations are used in an interpolation and extrapolation procedure that computes the mass balance at each point in the glacier surface altitude grid. The resulting mass balance grid is averaged to obtain glacier mass balances. Additionally, the geodetic method has been applied to compute glacier net balances in 1970, 1975, 1977, 1979-80, and 1985-97. Winter snow accumulation on the glacier during 2007/08 and 2008/09 was larger than the long-term (1959-2009) average. The 2007/08 preliminary summer balance (-3510 mm w.e.) was slightly more negative than the long-term average and this yielded a preliminary 2007/08 net balance (-290 mm w.e.), which was less negative than the average for the period of record (-600 mm w.e.). Summer 2009 was uncommonly warm and the preliminary 2008/09 summer balance (-4980 mm w.e.) was more negative than any on record for the glacier. The 2008/09 glacier net balance (-1860 mm w.e.) was among the 10 most negative for the period of net balance record (1953-2009). Material presented here is preliminary in nature and presented prior to final review. These data and information are provided with the understanding that they are not guaranteed to be correct or complete. Users are cautioned to consider carefully the provisional nature of these data and information before using them for decisions that concern personal or public safety or the conduct of business that involves substantial monetary or operational consequences. Conclusions drawn from, or actions undertaken on the basis of, such data and information are the sole responsibility of the user.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Glacier Mass Balance Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"World Glacier Monitoring Service","publisherLocation":"Zurich, Switzerland","usgsCitation":"Bidlake, W.R., 2011, South Cascade (USA/North Cascades): Glacier Mass Balance Bulletin, v. 11, p. 81-89.","productDescription":"9 p.","startPage":"81","endPage":"89","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":257949,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257937,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://www.geo.uzh.ch/microsite/wgms/gmbb.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Washington","otherGeospatial":"North Cascades","volume":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b93b2e4b08c986b31a63e","contributors":{"authors":[{"text":"Bidlake, William R. wbidlake@usgs.gov","contributorId":1712,"corporation":false,"usgs":true,"family":"Bidlake","given":"William","email":"wbidlake@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":349027,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70006015,"text":"70006015 - 2011 - Networks - The assessment of marine reserve networks: Guidelines for ecological evaluation","interactions":[],"lastModifiedDate":"2022-12-20T14:40:35.781818","indexId":"70006015","displayToPublicDate":"2012-06-20T08:44:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"11","title":"Networks - The assessment of marine reserve networks: Guidelines for ecological evaluation","docAbstract":"<p class=\"do-not-mathjax\">As marine ecosystems are plagued by an ever-increasing suite of threats including climate change, pollution, habitat degradation, and fisheries impacts (Roessig <span class=\"italic do-not-mathjax\">et al</span>., 2004; Lotze <span class=\"italic do-not-mathjax\">et al</span>., 2006; Jackson, 2008), there are now no ocean areas that are exempt from anthropogenic impacts (Halpern <span class=\"italic do-not-mathjax\">et al</span>., 2008). In order to preserve marine biodiversity, ecosystem function, and the goods and services provided by resistant and/or resilient systems, marine reserves have been increasingly recommended as part of an ecosystem-based approach to management (Browman and Stergiou, 2004; Levin <span class=\"italic do-not-mathjax\">et al</span>., 2009). Marine reserves are defined as “areas of the ocean completely protected from all extractive and destructive activities” (Lubchenco <span class=\"italic do-not-mathjax\">et al</span>., 2003) and can be experimental controls for evaluating the impact of these activities on marine ecosystems. Growing scientific information has shown consistent increases in species density, biomass, size, and diversity in response to full protection inside reserves of varying sizes and ages located in diverse regions (Claudet <span class=\"italic do-not-mathjax\">et al</span>., 2008; Lester <span class=\"italic do-not-mathjax\">et al</span>., 2009; Molloy <span class=\"italic do-not-mathjax\">et al</span>., 2009). However, most of these data are from individual marine reserves and therefore have inherently limited transferability to networks of marine reserves, which when properly designed can outperform single marine reserves for a variety of ecological, economic, and social management goals (Roberts <span class=\"italic do-not-mathjax\">et al</span>., 2003; Almany <span class=\"italic do-not-mathjax\">et al</span>., 2009; Gaines <span class=\"italic do-not-mathjax\">et al</span>., 2010).</p><p class=\"do-not-mathjax\">The concept of marine reserve networks grew out of a desire to achieve both conservation and fishery management goals by minimizing the potential negative economic, social, and cultural impacts of a single large reserve while still producing similar or even greater ecological and economic returns (Murray <span class=\"italic do-not-mathjax\">et al</span>., 1999; Gaines <span class=\"italic do-not-mathjax\">et al</span>., 2010). In addition, reserves networks can provide insurance by protecting areas across a region and spreading the risk that these sites may be impacted by localized catastrophes such as hurricanes or oil spills (Allison <span class=\"italic do-not-mathjax\">et al</span>., 2003). The World Conservation Union's Marine Programme defines a network as “a collection of individual marine protected areas (MPAs) or reserves operating co-operatively and synergistically, at various spatial scales and with a range of protection levels that are designed to meet objectives that a single reserve cannot achieve” (IUCN–WCPA, 2008). However, general terms such as “co-operatively” and “synergistically” can have myriad meanings. Without a clear definition of a network, it becomes difficult to identify attainable management goals and design a process for evaluating whether the network achieves those goals. Besides, different management goals may in turn result in the need for different types of networks. The use of MPAs with varying protection levels together with no-take zones in multiple-zoning schemes adds another layer of complexity to network design and evaluation; however, partially protected areas are generally used to manage coastal uses and avoid conflicts (rather than for strict ecological purposes) and are therefore a function of the local social, economic, and cultural context. As we are here interested in the ecological effects of networks, for the purposes of this chapter, we focus on marine reserves because these areas are no-take and therefore offer greater ecological benefits than other types of MPAs that allow some forms of extraction (Lester and Halpern, 2008).</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Marine protected areas: A multidisciplinary approach","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","doi":"10.1017/CBO9781139049382.016","usgsCitation":"Grorud-Colvert, K., Claudet, J., Carr, M., Caselle, J., Day, J., Friedlander, A.M., Lester, S.E., Lison de Loma, T., Tissot, B., and Malone, D., 2011, Networks - The assessment of marine reserve networks: Guidelines for ecological evaluation, chap. 11 <i>of</i> Marine protected areas: A multidisciplinary approach, p. 293-321, https://doi.org/10.1017/CBO9781139049382.016.","productDescription":"29 p.","startPage":"293","endPage":"321","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033700","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":258047,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba9d6e4b08c986b322549","contributors":{"editors":[{"text":"Claudet, Joachim","contributorId":44027,"corporation":false,"usgs":true,"family":"Claudet","given":"Joachim","email":"","affiliations":[],"preferred":false,"id":508298,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Grorud-Colvert, Kirsten","contributorId":60897,"corporation":false,"usgs":true,"family":"Grorud-Colvert","given":"Kirsten","email":"","affiliations":[],"preferred":false,"id":353674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Claudet, Joachim","contributorId":44027,"corporation":false,"usgs":true,"family":"Claudet","given":"Joachim","email":"","affiliations":[],"preferred":false,"id":353672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carr, Mark","contributorId":12312,"corporation":false,"usgs":true,"family":"Carr","given":"Mark","affiliations":[],"preferred":false,"id":353668,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caselle, Jennifer","contributorId":92100,"corporation":false,"usgs":true,"family":"Caselle","given":"Jennifer","affiliations":[],"preferred":false,"id":353676,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Day, Jon","contributorId":27733,"corporation":false,"usgs":true,"family":"Day","given":"Jon","email":"","affiliations":[],"preferred":false,"id":353670,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Friedlander, Alan M. afriedlander@usgs.gov","contributorId":4296,"corporation":false,"usgs":true,"family":"Friedlander","given":"Alan","email":"afriedlander@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":353667,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lester, Sarah E.","contributorId":61689,"corporation":false,"usgs":true,"family":"Lester","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":353675,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lison de Loma, Thierry","contributorId":40061,"corporation":false,"usgs":true,"family":"Lison de Loma","given":"Thierry","email":"","affiliations":[],"preferred":false,"id":353671,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tissot, Brian","contributorId":21401,"corporation":false,"usgs":true,"family":"Tissot","given":"Brian","email":"","affiliations":[],"preferred":false,"id":353669,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Malone, Dan","contributorId":44783,"corporation":false,"usgs":true,"family":"Malone","given":"Dan","email":"","affiliations":[],"preferred":false,"id":353673,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70038719,"text":"70038719 - 2011 - Spatial and temporal interactions of sympatric mountain lions in Arizona","interactions":[],"lastModifiedDate":"2017-05-05T11:11:51","indexId":"70038719","displayToPublicDate":"2012-06-18T09:01:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1595,"text":"European Journal of Wildlife Research","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal interactions of sympatric mountain lions in Arizona","docAbstract":"<p>Spatial and temporal interactions among individual members of populations can have direct applications to habitat management of mountain lions (<i>Puma concolor</i>). Our objectives were to evaluate home range overlap and spatial/temporal use of overlap zones (OZ) of mountain lions in Arizona. We incorporated spatial data with genetic analyses to assess relatedness between mountain lions with overlapping home ranges. We recorded the space use patterns of 29 radio-collared mountain lions in Arizona from August 2005 to August 2008. We genotyped 28 mountain lions and estimated the degree of relatedness among individuals. For 26 pairs of temporally overlapping mountain lions, 18 overlapped spatially and temporally and eight had corresponding genetic information. Home range overlap ranged from 1.18% to 46.38% (x̄=2443, SE = 2.96). Male&ndash;male pairs were located within 1 km of each other on average, 0.04% of the time, whereas male&ndash;female pairs on average were 3.0%. Two male&ndash;male pairs exhibited symmetrical spatial avoidance and two symmetrical spatial attractions to the OZ. We observed simultaneous temporal attraction in three male&ndash;male pairs and four male&ndash;female pairs. Individuals from Tucson were slightly related to one another within the population (<i>n</i> = 13, mean <i>R</i> = 0.0373 &plusmn; 0.0151) whereas lions from Payson (<i>n</i> = 6, mean <i>R</i> = -0.0079 &plusmn; 0.0356) and Prescott (<i>n</i> = 9, mean <i>R</i> = -0.0242 &plusmn; 0.0452) were not as related. Overall, males were less related to other males (<i>n</i> = 20, mean <i>R</i> = -0.0495 &plusmn; 0.0161) than females were related to other females (<i>n</i> = 8, mean <i>R</i> = 0.0015 &plusmn; 0.0839). Genetic distance was positively correlated with geographic distance (<i>r</i><sup>2</sup> = 0.22, <i>P</i> = 0.001). Spatial requirements and interactions influence social behavior and can play a role in determining population density.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10344-011-0528-8","usgsCitation":"Nicholson, K.L., Krausman, P.R., Munguia-Vega, A., and Culver, M., 2011, Spatial and temporal interactions of sympatric mountain lions in Arizona: European Journal of Wildlife Research, v. 57, no. 6, p. 1151-1163, https://doi.org/10.1007/s10344-011-0528-8.","productDescription":"13 p.","startPage":"1151","endPage":"1163","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2005-08-01","temporalEnd":"2008-08-31","ipdsId":"IP-034673","costCenters":[],"links":[{"id":257902,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","volume":"57","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-04-09","publicationStatus":"PW","scienceBaseUri":"505b943be4b08c986b31a954","contributors":{"authors":[{"text":"Nicholson, Kerry L.","contributorId":45567,"corporation":false,"usgs":true,"family":"Nicholson","given":"Kerry","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":464783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krausman, Paul R.","contributorId":31467,"corporation":false,"usgs":true,"family":"Krausman","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":464782,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munguia-Vega, Adrian","contributorId":56909,"corporation":false,"usgs":false,"family":"Munguia-Vega","given":"Adrian","email":"","affiliations":[],"preferred":false,"id":464784,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":4327,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":127,"text":"Arizona Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":464781,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003932,"text":"70003932 - 2011 - Evaluating spawning migration patterns and predicting spawning success of shovelnose sturgeon in the Lower Missouri River","interactions":[],"lastModifiedDate":"2021-01-28T20:23:13.091466","indexId":"70003932","displayToPublicDate":"2012-06-15T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating spawning migration patterns and predicting spawning success of shovelnose sturgeon in the Lower Missouri River","docAbstract":"<p><span>Approaches using telemetry, precise reproductive assessments, and surgically implanted data storage tags (DSTs) were used in combination with novel applications of analytical techniques for fish movement studies to describe patterns in migratory behavior and predict spawning success of gravid shovelnose sturgeon. From 2004 to 2007, over 300 gravid female shovelnose sturgeon (</span><i>Scaphirhynchus platorynchus</i><span>) from the Lower Missouri River, that were expected to spawn in the year they were collected, were surgically implanted with transmitters and archival DSTs. Functional cluster modeling of telemetry data from the spawning season suggested two common migration patterns of gravid female shovelnose sturgeon. Fish implanted from 958 to 1181 river kilometer (rkm) from the mouth of the Missouri River (or northern portion of the Lower Missouri River within 354 rkm of the lowest Missouri River dam at rkm 1305) had one migration pattern. Of fish implanted from 209 to 402 rkm from the mouth of the Missouri River (or southern portion of the Lower Missouri River), half demonstrated a movement pattern similar to the northern fish while the other half demonstrated a migration pattern that covered more of the river. There was no apparent difference in migration patterns between successful and unsuccessful spawners. Multiple hypotheses exist to explain differences in migratory patterns among fish from different river reaches. Additional work is required to determine if observed differences are due to multiple adapted strategies, environmental alteration, and/or initial tagging date. Hierarchical Bayesian modeling of DST data indicated that variation in depth usage patterns was consistently different between successful and unsuccessful spawners, as indicated by differences in likelihood of switching between high and low variability states. Analyses of DST data, and data collected at capture, were sufficient to predict 8 of 10 non‐spawners/incomplete spawners and all 30 spawners in the absence of telemetry location data. Together, the results of these two separate analyses suggest that caution is necessary in extrapolating spawning success from broad‐scale movement data alone. More direct measures of spawning success may be necessary to precisely determine spawning success and to evaluate the effects of management actions.</span></p>","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1439-0426.2010.01663.x","usgsCitation":"Wildhaber, M., Holan, S., Davis, G.M., Gladish, D., DeLonay, A., Papoulias, D., and Sommerhauser, D.K., 2011, Evaluating spawning migration patterns and predicting spawning success of shovelnose sturgeon in the Lower Missouri River: Journal of Applied Ichthyology, v. 27, no. 2, p. 301-308, https://doi.org/10.1111/j.1439-0426.2010.01663.x.","productDescription":"8 p.","startPage":"301","endPage":"308","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":257647,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Missouri, Nebraska","otherGeospatial":"Missouri River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.1640625,\n              38.487994609214795\n            ],\n            [\n              -92.10937499999999,\n              38.487994609214795\n            ],\n            [\n              -92.10937499999999,\n              39.317300373271024\n            ],\n            [\n              -93.1640625,\n              39.317300373271024\n            ],\n            [\n              -93.1640625,\n              38.487994609214795\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.119140625,\n              42.21224516288584\n            ],\n            [\n              -95.987548828125,\n              42.21224516288584\n            ],\n            [\n              -95.987548828125,\n              43.492782808225\n            ],\n            [\n              -97.119140625,\n              43.492782808225\n            ],\n            [\n              -97.119140625,\n              42.21224516288584\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-03-28","publicationStatus":"PW","scienceBaseUri":"505a0bf4e4b0c8380cd52970","contributors":{"authors":[{"text":"Wildhaber, M. L. 0000-0002-6538-9083","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":62961,"corporation":false,"usgs":true,"family":"Wildhaber","given":"M. L.","affiliations":[],"preferred":false,"id":349575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holan, S. H.","contributorId":76453,"corporation":false,"usgs":false,"family":"Holan","given":"S. H.","affiliations":[],"preferred":false,"id":349577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, G. M.","contributorId":7510,"corporation":false,"usgs":false,"family":"Davis","given":"G.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":349571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gladish, D. W.","contributorId":68445,"corporation":false,"usgs":false,"family":"Gladish","given":"D. W.","affiliations":[],"preferred":false,"id":349576,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeLonay, A. J. 0000-0002-3752-2799","orcid":"https://orcid.org/0000-0002-3752-2799","contributorId":34246,"corporation":false,"usgs":true,"family":"DeLonay","given":"A. J.","affiliations":[],"preferred":false,"id":349573,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Papoulias, D. M. 0000-0002-5106-2469","orcid":"https://orcid.org/0000-0002-5106-2469","contributorId":58759,"corporation":false,"usgs":true,"family":"Papoulias","given":"D. M.","affiliations":[],"preferred":false,"id":349574,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sommerhauser, D. K.","contributorId":26924,"corporation":false,"usgs":false,"family":"Sommerhauser","given":"D.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":349572,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70005401,"text":"70005401 - 2011 - Evaluation of influence of sediment on the sensitivity of a unionid mussel (<i>Lamsilis silquoidea</i>) to ammonia in 28-day water exposures","interactions":[],"lastModifiedDate":"2020-01-21T16:23:04","indexId":"70005401","displayToPublicDate":"2012-06-14T09:16:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of influence of sediment on the sensitivity of a unionid mussel (<i>Lamsilis silquoidea</i>) to ammonia in 28-day water exposures","docAbstract":"A draft update of the U.S. Environmental Protection Agency ambient water quality criteria (AWQC) for ammonia substantially lowers the ammonia AWQC, primarily due to the inclusion of toxicity data for freshwater mussels. However, most of the mussel data used in the updated AWQC were generated from water-only exposures and limited information is available on the potential influence of the presence of a substrate on the response of mussels in laboratory toxicity tests. Our recent study demonstrated that the acute sensitivity of mussels to ammonia was not influenced by the presence of substrate in 4-d laboratory toxicity tests. The objective of the current study was to determine the sensitivity of mussels to ammonia in chronic 28-d water exposures with the sediment present (sediment treatment) or absent (water-only treatment). The chronic toxicity test was conducted starting with two-month-old juvenile mussels (fatmucket, <i>Lampsilis siliquoidea</i>) in a flow-through diluter system, which maintained consistent pH (&#8776;8.3) and six concentrations of total ammonia nitrogen (N) in overlying water and in sediment pore water. The chronic value (ChV, geometric mean of the no-observed-effect concentration and the lowest-observed-effect concentration) was 0.36 mg N/L for survival or biomass in the water-only treatment, and was 0.66 mg N/L for survival and 0.20 mg N/L for biomass in the sediment treatment. The 20% effect concentration (EC20) for survival was 0.63 mg N/L in the water-only treatment and was 0.86 mg N/L in the sediment treatment (with overlapping 95% confidence intervals; no EC20 for biomass was estimated because the data did not meet the conditions for any logistic regression analysis). The similar ChVs or EC20s between the water-only treatment and the sediment treatment indicate that the presence of sediment did not substantially influence the sensitivity of juvenile mussels to ammonia in the 28-d chronic laboratory water exposures.","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.616","usgsCitation":"Wang, N., Consbrock, R.A., Ingersoll, C.G., and Barnhart, M., 2011, Evaluation of influence of sediment on the sensitivity of a unionid mussel (<i>Lamsilis silquoidea</i>) to ammonia in 28-day water exposures: Environmental Toxicology and Chemistry, v. 30, no. 10, p. 2270-2276, https://doi.org/10.1002/etc.616.","productDescription":"7 p.","startPage":"2270","endPage":"2276","numberOfPages":"7","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":257801,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"30","issue":"10","noUsgsAuthors":false,"publicationDate":"2011-10-01","publicationStatus":"PW","scienceBaseUri":"505a0c89e4b0c8380cd52bb6","contributors":{"authors":[{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":352420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Consbrock, Rebecca A. 0000-0002-5748-7046 rconsbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5748-7046","contributorId":3095,"corporation":false,"usgs":true,"family":"Consbrock","given":"Rebecca","email":"rconsbrock@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":352421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":352419,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnhart, M. Christopher","contributorId":78061,"corporation":false,"usgs":true,"family":"Barnhart","given":"M. Christopher","affiliations":[],"preferred":false,"id":352422,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003957,"text":"70003957 - 2011 - Habitat selection by female swift foxes (Vulpes velox) during the pup-rearing season","interactions":[],"lastModifiedDate":"2012-06-15T01:01:35","indexId":"70003957","displayToPublicDate":"2012-06-14T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3580,"text":"The Prairie Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Habitat selection by female swift foxes (Vulpes velox) during the pup-rearing season","docAbstract":"The swift fox (Vulpes velox) was historically distributed in western South Dakota including the region surrounding Badlands National Park (BNP). The species declined during the mid-1800s, largely due to habitat loss and poisoning targeted at wolves (Canis lupis) and coyotes (C. latrans). Only a small population of swift foxes near Ardmore, South Dakota persisted. In 2003, an introduction program was initiated at BNP with swift foxes translocated from Colorado and Wyoming. We report on habitat use by female swift foxes during the pup-rearing season (May&ndash;July) in 2009. Analyses of location data from 13 radiomarked female foxes indicated disproportional use (<i>P</i> < 0.001) of some habitats relative to their availability within swift fox home ranges. Swift foxes used grassland (<i>&#374</i> = 1.01), sparse vegetation (<i>&#374</i> = 1.43) and prairie dog towns (<i>&#374</i> = 1.18) in proportion to their availability, whereas they were less likely to use woodland (<i>&#374</i> = 0.00), shrubland (<i>&#374</i> = 0.14), pasture/agricultural-land (<i>&#374</i> = 0.25) and development (<i>&#374</i> = 0.16) relative to availability. Swift foxes typically are located in habitats that provide greater visibility, such as shortgrass prairie and areas with sparse vegetation; which allow detection of approaching coyotes (e.g., primary predator of swift foxes).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Prairie Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"South Dakota State University","publisherLocation":"Brookings, SD","usgsCitation":"Sasmal, I., Jenks, J., Grovenburg, T.W., Datta, S., Schroeder, G.M., Klaver, R.W., and Honness, K.M., 2011, Habitat selection by female swift foxes (Vulpes velox) during the pup-rearing season: The Prairie Naturalist, v. 43, no. 1/2, p. 29-37.","productDescription":"9 p.","startPage":"29","endPage":"37","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":257582,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257579,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://www.sdstate.edu/nrm/organizations/gpnss/tpn/upload/43_1_2_Sasmal-et-al.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"South Dakota","otherGeospatial":"Badlands National Park","volume":"43","issue":"1/2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2f23e4b0c8380cd5cb0e","contributors":{"authors":[{"text":"Sasmal, Indrani","contributorId":52826,"corporation":false,"usgs":true,"family":"Sasmal","given":"Indrani","email":"","affiliations":[],"preferred":false,"id":349710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenks, Jonathan A.","contributorId":51591,"corporation":false,"usgs":true,"family":"Jenks","given":"Jonathan A.","affiliations":[],"preferred":false,"id":349709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grovenburg, Troy W.","contributorId":57712,"corporation":false,"usgs":true,"family":"Grovenburg","given":"Troy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":349712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Datta, Shubham","contributorId":7127,"corporation":false,"usgs":true,"family":"Datta","given":"Shubham","email":"","affiliations":[],"preferred":false,"id":349708,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schroeder, Greg M.","contributorId":54845,"corporation":false,"usgs":true,"family":"Schroeder","given":"Greg","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":349711,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":349707,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Honness, Kevin M.","contributorId":71048,"corporation":false,"usgs":true,"family":"Honness","given":"Kevin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":349713,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70005784,"text":"70005784 - 2011 - Multivariate analyses with end-member mixing to characterize groundwater flow: Wind Cave and associated aquifers","interactions":[],"lastModifiedDate":"2017-10-14T11:32:30","indexId":"70005784","displayToPublicDate":"2012-06-03T10:07:00","publicationYear":"2011","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":"Multivariate analyses with end-member mixing to characterize groundwater flow: Wind Cave and associated aquifers","docAbstract":"Principal component analysis (PCA) applied to hydrochemical data has been used with end-member mixing to characterize groundwater flow to a limited extent, but aspects of this approach are unresolved. Previous similar approaches typically have assumed that the extreme-value samples identified by PCA represent end members. The method presented herein is different from previous work in that (1) end members were not assumed to have been sampled but rather were estimated and constrained by prior knowledge; (2) end-member mixing was quantified in relation to hydrogeologic domains, which focuses model results on major hydrologic processes; (3) a method to select an appropriate number of end members using a series of cluster analyses is presented; and (4) conservative tracers were weighted preferentially in model calibration, which distributed model errors of optimized values, or residuals, more appropriately than would otherwise be the case. The latter item also provides an estimate of the relative influence of geochemical evolution along flow paths in comparison to mixing. This method was applied to groundwater in Wind Cave and the associated karst aquifer in the Black Hills of South Dakota, USA. The end-member mixing model was used to test a hypothesis that five different end-member waters are mixed in the groundwater system comprising five hydrogeologic domains. The model estimated that Wind Cave received most of its groundwater inflow from local surface recharge with an additional 33% from an upgradient aquifer. Artesian springs in the vicinity of Wind Cave primarily received water from regional groundwater flow.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2011.08.028","usgsCitation":"Long, A.J., and Valder, J., 2011, Multivariate analyses with end-member mixing to characterize groundwater flow: Wind Cave and associated aquifers: Journal of Hydrology, v. 409, no. 1-2, p. 315-327, https://doi.org/10.1016/j.jhydrol.2011.08.028.","productDescription":"13 p.","startPage":"315","endPage":"327","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":257435,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","volume":"409","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a60b2e4b0c8380cd7162a","contributors":{"authors":[{"text":"Long, Andrew J. 0000-0001-7385-8081 ajlong@usgs.gov","orcid":"https://orcid.org/0000-0001-7385-8081","contributorId":989,"corporation":false,"usgs":true,"family":"Long","given":"Andrew","email":"ajlong@usgs.gov","middleInitial":"J.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valder, Joshua F. 0000-0003-3733-8868 jvalder@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-8868","contributorId":1431,"corporation":false,"usgs":true,"family":"Valder","given":"Joshua F.","email":"jvalder@usgs.gov","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":353210,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70007192,"text":"70007192 - 2011 - Developing Gyrfalcon surveys and monitoring for Alaska","interactions":[],"lastModifiedDate":"2017-12-07T10:56:54","indexId":"70007192","displayToPublicDate":"2012-05-31T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Developing Gyrfalcon surveys and monitoring for Alaska","docAbstract":"We developed methods to monitor the status of Gyrfalcons in Alaska. Results of surveys and monitoring will be informative for resource managers and will be useful for studying potential changes in ecological communities of the high latitudes. We estimated that the probability of detecting a Gyrfalcon at an occupied nest site was between 64% and 87% depending on observer experience and aircraft type (fixed-wing or helicopter). The probability of detection is an important factor for estimating occupancy of nesting areas, and occupancy can be used as a metric for monitoring species' status. We conclude that surveys of nesting habitat to monitor occupancy during the breeding season are practical because of the high probability of seeing a Gyrfalcon from aircraft. Aerial surveys are effective for searching sample plots or index areas in the expanse of the Alaskan terrain. Furthermore, several species of cliff-nesting birds can be surveyed concurrently from aircraft. Occupancy estimation also can be applied using data from other field search methods (e.g., from boats) that have proven useful in Alaska. We believe a coordinated broad-scale, inter-agency, collaborative approach is necessary in Alaska. Monitoring can be facilitated by collating and archiving each set of results in a secure universal repository to allow for statewide meta-analysis.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Gyrfalcons and Ptarmigan in a Changing World","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Gyrfalcons and Ptarmigan in a Changing World","conferenceDate":"February 1-3, 2011","conferenceLocation":"Boise, Idaho","language":"English","publisher":"The Peregrine Fund","publisherLocation":"Boise, ID","usgsCitation":"Fuller, M.R., Schempf, P.F., and Booms, T.L., 2011, Developing Gyrfalcon surveys and monitoring for Alaska, <i>in</i> Gyrfalcons and Ptarmigan in a Changing World, Boise, Idaho, February 1-3, 2011, p. 275-282.","productDescription":"8 p.","startPage":"275","endPage":"282","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":257104,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257099,"rank":300,"type":{"id":15,"text":"Index Page"},"url":"https://www.peregrinefund.org/subsites/conference-gyr/proceedings/","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Alaska","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0007e4b0c8380cd4f547","contributors":{"authors":[{"text":"Fuller, Mark R. 0000-0001-7459-1729 mark_fuller@usgs.gov","orcid":"https://orcid.org/0000-0001-7459-1729","contributorId":2296,"corporation":false,"usgs":true,"family":"Fuller","given":"Mark","email":"mark_fuller@usgs.gov","middleInitial":"R.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":356040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schempf, Philip F.","contributorId":36795,"corporation":false,"usgs":true,"family":"Schempf","given":"Philip","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":356041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Booms, Travis L.","contributorId":48813,"corporation":false,"usgs":true,"family":"Booms","given":"Travis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":356042,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70004612,"text":"70004612 - 2011 - Monitoring bald eagles using lists of nests: Response to Watts and Duerr","interactions":[],"lastModifiedDate":"2016-09-07T14:16:17","indexId":"70004612","displayToPublicDate":"2012-05-29T14:56:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring bald eagles using lists of nests: Response to Watts and Duerr","docAbstract":"The post-delisting monitoring plan for bald eagles (<i>Haliaeetus leucocephalus</i>) roposed use of a dual-frame sample design, in which sampling of known nest sites in combination with additional area-based sampling is used to estimate total number of nesting bald eagle pairs. Watts and Duerr (2010) used data from repeated observations of bald eagle nests in Virginia, USA to estimate a nest turnover rate and used this rate to simulate decline in number of occupied nests in list nests over time. Results of Watts and Duerr suggest that, given the rates of loss of nests from the list of known nest sites in Virginia, the list information will be of little value to sampling unless lists are constantly updated. Those authors criticize the plan for not placing sufficient emphasis on updating and maintaining lists of bald eagle nests. Watts and Duerr's metric of turnover rate does not distinguish detectability or temporary nonuse of nests from permanent loss of nests and likely overestimates turnover rate. We describe a multi-state capture&ndash;recapture model that allows appropriate estimation of rates of loss of nests, and we use the model to estimate rates of loss from a sample of nests from Maine, USA. The post-delisting monitoring plan addresses the need to maintain and update the lists of nests, and we show that dual frame sampling is an effective approach for sampling nesting bald eagle populations.","language":"English","publisher":"The Wildlife Society","publisherLocation":"Bethesda, MD","doi":"10.1002/jwmg.84","usgsCitation":"Sauer, J., Otto, M.C., Kendall, W.L., and Zimmerman, G.S., 2011, Monitoring bald eagles using lists of nests: Response to Watts and Duerr: Journal of Wildlife Management, v. 75, no. 3, p. 509-512, https://doi.org/10.1002/jwmg.84.","productDescription":"4 p.","startPage":"509","endPage":"512","numberOfPages":"4","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":257297,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","volume":"75","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-05-11","publicationStatus":"PW","scienceBaseUri":"505a5d8ee4b0c8380cd70459","contributors":{"authors":[{"text":"Sauer, John R. jrsauer@usgs.gov","contributorId":3737,"corporation":false,"usgs":true,"family":"Sauer","given":"John R.","email":"jrsauer@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":350857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Otto, Mark C.","contributorId":6307,"corporation":false,"usgs":true,"family":"Otto","given":"Mark","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":350858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, William L. wkendall@usgs.gov","contributorId":406,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"wkendall@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":350856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimmerman, Guthrie S.","contributorId":42473,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Guthrie","email":"","middleInitial":"S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":350859,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70004028,"text":"70004028 - 2011 - Integration of paleoseismic data from multiple sites to develop an objective earthquake chronology: Application to the Weber segment of the Wasatch fault zone, Utah","interactions":[],"lastModifiedDate":"2012-06-01T01:01:40","indexId":"70004028","displayToPublicDate":"2012-05-23T08:56:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Integration of paleoseismic data from multiple sites to develop an objective earthquake chronology: Application to the Weber segment of the Wasatch fault zone, Utah","docAbstract":"We present a method to evaluate and integrate paleoseismic data from multiple sites into a single, objective measure of earthquake timing and recurrence on discrete segments of active faults. We apply this method to the Weber segment (WS) of the Wasatch fault zone using data from four fault-trench studies completed between 1981 and 2009. After systematically reevaluating the stratigraphic and chronologic data from each trench site, we constructed time-stratigraphic OxCal models that yield site probability density functions (PDFs) of the times of individual earthquakes. We next qualitatively correlated the site PDFs into a segment-wide earthquake chronology, which is supported by overlapping site PDFs, large per-event displacements, and prominent segment boundaries. For each segment-wide earthquake, we computed the product of the site PDF probabilities in common time bins, which emphasizes the overlap in the site earthquake times, and gives more weight to the narrowest, best-defined PDFs. The product method yields smaller earthquake-timing uncertainties compared to taking the mean of the site PDFs, but is best suited to earthquakes constrained by broad, overlapping site PDFs. We calculated segment-wide earthquake recurrence intervals and uncertainties using a Monte Carlo model. Five surface-faulting earthquakes occurred on the WS at about 5.9, 4.5, 3.1, 1.1, and 0.6 ka. With the exception of the 1.1-ka event, we used the product method to define the earthquake times. The revised WS chronology yields a mean recurrence interval of 1.3 kyr (0.7&ndash;1.9-kyr estimated two-sigma [2&delta;] range based on interevent recurrence). These data help clarify the paleoearthquake history of the WS, including the important question of the timing and rupture extent of the most recent earthquake, and are essential to the improvement of earthquake-probability assessments for the Wasatch Front region.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/0120110102","usgsCitation":"DuRoss, C., Personius, S.F., Crone, A.J., Olig, S.S., and Lund, W., 2011, Integration of paleoseismic data from multiple sites to develop an objective earthquake chronology: Application to the Weber segment of the Wasatch fault zone, Utah: Bulletin of the Seismological Society of America, v. 101, no. 6, p. 2765-2781, https://doi.org/10.1785/0120110102.","productDescription":"17 p.","startPage":"2765","endPage":"2781","temporalStart":"1981-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":257077,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257059,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1785/0120110102","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Utah","otherGeospatial":"Wasatch Fault Zone","volume":"101","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-12-08","publicationStatus":"PW","scienceBaseUri":"505a3c8de4b0c8380cd62e25","contributors":{"authors":[{"text":"DuRoss, Christopher B.","contributorId":66532,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher B.","affiliations":[],"preferred":false,"id":350221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Personius, Stephen F. personius@usgs.gov","contributorId":1214,"corporation":false,"usgs":true,"family":"Personius","given":"Stephen","email":"personius@usgs.gov","middleInitial":"F.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":350219,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crone, Anthony J. 0000-0002-3006-406X crone@usgs.gov","orcid":"https://orcid.org/0000-0002-3006-406X","contributorId":790,"corporation":false,"usgs":true,"family":"Crone","given":"Anthony","email":"crone@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":350218,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olig, Susan S.","contributorId":87640,"corporation":false,"usgs":true,"family":"Olig","given":"Susan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":350222,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lund, William R.","contributorId":48320,"corporation":false,"usgs":true,"family":"Lund","given":"William R.","affiliations":[],"preferred":false,"id":350220,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70038411,"text":"fs20113043 - 2011 - Streamflow of 2010--Water year summary","interactions":[],"lastModifiedDate":"2012-08-28T14:10:23","indexId":"fs20113043","displayToPublicDate":"2012-05-22T00:00:00","publicationYear":"2011","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":"2011-3043","title":"Streamflow of 2010--Water year summary","docAbstract":"The maps and graph in this summary describe streamflow conditions for water-year 2010 (October 1, 2009 to September 30, 2010) in the context of the 81-year period 1930-2010, unless otherwise noted. The illustrations are based on observed data from the U.S. Geological Survey's (USGS) National Streamflow Information Program. The period 1930-2010 was used because prior to 1930, the number of streamgages was too small to provide representative data for computing statistics for most regions of the country.\r\nIn the summary, reference is made to the term \"runoff,\" which is the depth to which a river basin, State, or other geographic area would be covered with water if all the streamflow within the area during a single year was uniformly distributed upon it. Runoff quantifies the magnitude of water flowing through the Nation's rivers and streams in measurement units that can be compared from one area to another.\r\nEach of the maps and graphs below can be expanded to a larger view by clicking on the image. In all the graphics, a rank of 1 indicates the highest flow of all years analyzed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113043","usgsCitation":"Xiaodong, J., Wolock, D.M., Lins, H.F., and Brady, S., 2011, Streamflow of 2010--Water year summary: U.S. Geological Survey Fact Sheet 2011-3043, 8 p., https://doi.org/10.3133/fs20113043.","productDescription":"8 p.","numberOfPages":"8","onlineOnly":"Y","temporalStart":"2009-10-01","temporalEnd":"2010-09-30","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":256944,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3043.gif"},{"id":256939,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3043/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9b12e4b08c986b31cc75","contributors":{"authors":[{"text":"Xiaodong, Jian","contributorId":10260,"corporation":false,"usgs":true,"family":"Xiaodong","given":"Jian","email":"","affiliations":[],"preferred":false,"id":464062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":464060,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lins, Harry F. 0000-0001-5385-9247 hlins@usgs.gov","orcid":"https://orcid.org/0000-0001-5385-9247","contributorId":1505,"corporation":false,"usgs":true,"family":"Lins","given":"Harry","email":"hlins@usgs.gov","middleInitial":"F.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":464061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brady, Steve","contributorId":108351,"corporation":false,"usgs":true,"family":"Brady","given":"Steve","email":"","affiliations":[],"preferred":false,"id":464063,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005574,"text":"70005574 - 2011 - Indicators and protocols for monitoring impacts of formal and informal trails in protected areas","interactions":[],"lastModifiedDate":"2012-05-30T01:01:38","indexId":"70005574","displayToPublicDate":"2012-05-21T10:11:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2479,"text":"Journal of Tourism and Leisure Studies","active":true,"publicationSubtype":{"id":10}},"title":"Indicators and protocols for monitoring impacts of formal and informal trails in protected areas","docAbstract":"Trails are a common recreation infrastructure in protected areas and their conditions affect the quality of natural resources and visitor experiences. Various trail impact indicators and assessment protocols have been developed in support of monitoring programs, which are often used for management decision-making or as part of visitor capacity management frameworks. This paper reviews common indicators and assessment protocols for three types of trails, surfaced formal trails, unsurfaced formal trails, and informal (visitor-created) trails. Monitoring methods and selected data from three U.S. National Park Service units are presented to illustrate some common trail impact indicators and assessment options.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Tourism and Leisure Studies","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","usgsCitation":"Marion, J.L., and Leung, Y., 2011, Indicators and protocols for monitoring impacts of formal and informal trails in protected areas: Journal of Tourism and Leisure Studies, v. 17, no. 2, p. 215-236.","productDescription":"22 p.","startPage":"215","endPage":"236","numberOfPages":"22","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":257018,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257009,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://rpts.tamu.edu/files/2011/09/JTLS.pdf#page=128","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","volume":"17","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3a89e4b0c8380cd61d67","contributors":{"authors":[{"text":"Marion, Jeffrey L.","contributorId":56322,"corporation":false,"usgs":true,"family":"Marion","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":352850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leung, Yu-Fai","contributorId":95730,"corporation":false,"usgs":true,"family":"Leung","given":"Yu-Fai","affiliations":[],"preferred":false,"id":352851,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}