{"pageNumber":"164","pageRowStart":"4075","pageSize":"25","recordCount":10462,"records":[{"id":70047014,"text":"70047014 - 2013 - Fire regimes of quaking aspen in the Mountain West","interactions":[],"lastModifiedDate":"2013-07-15T13:34:46","indexId":"70047014","displayToPublicDate":"2013-07-15T13:25:48","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Fire regimes of quaking aspen in the Mountain West","docAbstract":"Quaking aspen (Populus tremuloides Michx.) is the most widespread tree species in North America, and it is found throughout much of the Mountain West (MW) across a broad range of bioclimatic regions. Aspen typically regenerates asexually and prolifically after fire, and due to its seral status in many western conifer forests, aspen is often considered dependent upon disturbance for persistence. In many landscapes, historical evidence for post-fire aspen establishment is clear, and following extended fire-free periods senescing or declining aspen overstories sometimes lack adequate regeneration and are succeeding to conifers. However, aspen also forms relatively stable stands that contain little or no evidence of historical fire. In fact, aspen woodlands range from highly fire-dependent, seral communities to relatively stable, self-replacing, non-seral communities that do not require fire for persistence. Given the broad geographic distribution of aspen, fire regimes in these forests likely co-vary spatially with changing community composition, landscape setting, and climate, and temporally with land use and climate – but relatively few studies have explicitly focused on these important spatiotemporal variations. Here we reviewed the literature to summarize aspen fire regimes in the western US and highlight knowledge gaps. We found that only about one-fourth of the 46 research papers assessed for this review could be considered fire history studies (in which mean fire intervals were calculated), and all but one of these were based primarily on data from fire-scarred conifers. Nearly half of the studies reported at least some evidence of persistent aspen in the absence of fire. We also found that large portions of the MW have had little or no aspen fire history research. As a result of this review, we put forth a classification framework for aspen that is defined by key fire regime parameters (fire severity and probability), and that reflects underlying biophysical settings and correlated aspen functional types. We propose the following aspen fire regime types: (1) fire-independent, stable aspen; (2) fire-influenced, stable aspen; (3) fire-dependent, seral, conifer-aspen mix; (4) fire-dependent, seral, montane aspen-conifer; and (5) fire-dependent, seral, subalpine aspen-conifer. Closing research gaps and validating our proposed aspen fire regime classification will likely require additional site-specific research, enhanced dendrochronology techniques, charcoal and pollen record analysis, spatially-explicit modeling, and other techniques. We hope to encourage development of site-appropriate disturbance ecology characterizations, in order to aid efforts to manage and restore aspen communities and to diagnose key factors contributing to changes in aspen.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Forest Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2012.11.032","usgsCitation":"Shinneman, D., Baker, W.L., Rogers, P., and Kulakowski, D., 2013, Fire regimes of quaking aspen in the Mountain West: Forest Ecology and Management, v. 299, p. 22-34, https://doi.org/10.1016/j.foreco.2012.11.032.","productDescription":"13 p.","startPage":"22","endPage":"34","ipdsId":"IP-042218","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":274988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274950,"type":{"id":15,"text":"Index Page"},"url":"https://ac.els-cdn.com/S0378112712007086/1-s2.0-S0378112712007086-main.pdf?_tid=e51f440c-eb1c-11e2-9774-00000aacb360&acdnat=1373652191_11d3c5c269906eaf67a6f66c6772b081"},{"id":274984,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2012.11.032"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.01,31.33 ], [ -120.01,49.0 ], [ -102.0409,49.0 ], [ -102.0409,31.33 ], [ -120.01,31.33 ] ] ] } } ] }","volume":"299","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e50bd9e4b069f8d27cca7b","chorus":{"doi":"10.1016/j.foreco.2012.11.032","url":"http://dx.doi.org/10.1016/j.foreco.2012.11.032","publisher":"Elsevier BV","authors":"Shinneman Douglas J., Baker William L., Rogers Paul C., Kulakowski Dominik","journalName":"Forest Ecology and Management","publicationDate":"7/2013","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Shinneman, Douglas J.","contributorId":70195,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas J.","affiliations":[],"preferred":false,"id":480858,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, William L.","contributorId":30101,"corporation":false,"usgs":true,"family":"Baker","given":"William","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":480855,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rogers, Paul C.","contributorId":38452,"corporation":false,"usgs":true,"family":"Rogers","given":"Paul C.","affiliations":[],"preferred":false,"id":480856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kulakowski, Dominik","contributorId":38453,"corporation":false,"usgs":true,"family":"Kulakowski","given":"Dominik","email":"","affiliations":[],"preferred":false,"id":480857,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047489,"text":"70047489 - 2013 - Spatially explicit models for inference about density in unmarked or partially marked populations","interactions":[],"lastModifiedDate":"2013-08-08T08:00:15","indexId":"70047489","displayToPublicDate":"2013-07-15T07:54:57","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":787,"text":"Annals of Applied Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Spatially explicit models for inference about density in unmarked or partially marked populations","docAbstract":"Recently developed spatial capture–recapture (SCR) models represent a major advance over traditional capture–recapture (CR) models because they yield explicit estimates of animal density instead of population size within an unknown area. Furthermore, unlike nonspatial CR methods, SCR models account for heterogeneity in capture probability arising from the juxtaposition of animal activity centers and sample locations. Although the utility of SCR methods is gaining recognition, the requirement that all individuals can be uniquely identified excludes their use in many contexts. In this paper, we develop models for situations in which individual recognition is not possible, thereby allowing SCR concepts to be applied in studies of unmarked or partially marked populations. The data required for our model are spatially referenced counts made on one or more sample occasions at a collection of closely spaced sample units such that individuals can be encountered at multiple locations. Our approach includes a spatial point process for the animal activity centers and uses the spatial correlation in counts as information about the number and location of the activity centers. Camera-traps, hair snares, track plates, sound recordings, and even point counts can yield spatially correlated count data, and thus our model is widely applicable. A simulation study demonstrated that while the posterior mean exhibits frequentist bias on the order of 5–10% in small samples, the posterior mode is an accurate point estimator as long as adequate spatial correlation is present. Marking a subset of the population substantially increases posterior precision and is recommended whenever possible. We applied our model to avian point count data collected on an unmarked population of the northern parula (Parula americana) and obtained a density estimate (posterior mode) of 0.38 (95% CI: 0.19–1.64) birds/ha. Our paper challenges sampling and analytical conventions in ecology by demonstrating that neither spatial independence nor individual recognition is needed to estimate population density—rather, spatial dependence can be informative about individual distribution and density.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Annals of Applied Statistics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Institute of Mathematical Statistics","doi":"10.1214/12-AOAS610","usgsCitation":"Chandler, R.B., and Royle, J., 2013, Spatially explicit models for inference about density in unmarked or partially marked populations: Annals of Applied Statistics, v. 7, no. 2, p. 936-954, https://doi.org/10.1214/12-AOAS610.","productDescription":"19 p.","startPage":"936","endPage":"954","ipdsId":"IP-041849","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473690,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://arxiv.org/abs/1112.3250","text":"Publisher Index Page"},{"id":276189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276184,"type":{"id":15,"text":"Index Page"},"url":"https://projecteuclid.org/euclid.aoas/1372338474"},{"id":276183,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1214/12-AOAS610"}],"volume":"7","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5203a37de4b02bdb1bc63fe4","contributors":{"authors":[{"text":"Chandler, Richard B. rchandler@usgs.gov","contributorId":63524,"corporation":false,"usgs":true,"family":"Chandler","given":"Richard","email":"rchandler@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":false,"id":482175,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":482176,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046856,"text":"70046856 - 2013 - Integrating resource selection information with spatial capture--recapture","interactions":[],"lastModifiedDate":"2013-07-17T12:46:19","indexId":"70046856","displayToPublicDate":"2013-07-13T12:41:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Integrating resource selection information with spatial capture--recapture","docAbstract":"1. Understanding space usage and resource selection is a primary focus of many studies of animal populations. Usually, such studies are based on location data obtained from telemetry, and resource selection functions (RSFs) are used for inference. Another important focus of wildlife research is estimation and modeling population size and density. Recently developed spatial capture–recapture (SCR) models accomplish this objective using individual encounter history data with auxiliary spatial information on location of capture. SCR models include encounter probability functions that are intuitively related to RSFs, but to date, no one has extended SCR models to allow for explicit inference about space usage and resource selection.\n2. In this paper we develop the first statistical framework for jointly modeling space usage, resource selection, and population density by integrating SCR data, such as from camera traps, mist-nets, or conventional catch traps, with resource selection data from telemetered individuals. We provide a framework for estimation based on marginal likelihood, wherein we estimate simultaneously the parameters of the SCR and RSF models.\n3. Our method leads to increases in precision for estimating parameters of ordinary SCR models. Importantly, we also find that SCR models alone can estimate parameters of RSFs and, as such, SCR methods can be used as the sole source for studying space-usage; however, precision will be higher when telemetry data are available.\n4. Finally, we find that SCR models using standard symmetric and stationary encounter probability models may not fully explain variation in encounter probability due to space usage, and therefore produce biased estimates of density when animal space usage is related to resource selection. Consequently, it is important that space usage be taken into consideration, if possible, in studies focused on estimating density using capture–recapture methods.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Methods in Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/2041-210X.12039","usgsCitation":"Royle, J., Chandler, R.B., Sun, C.C., and Fuller, A.K., 2013, Integrating resource selection information with spatial capture--recapture: Methods in Ecology and Evolution, v. 4, no. 6, p. 520-530, https://doi.org/10.1111/2041-210X.12039.","productDescription":"11 p.","startPage":"520","endPage":"530","ipdsId":"IP-042739","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473691,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://arxiv.org/abs/1207.3288","text":"Publisher Index Page"},{"id":275116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274698,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12039/abstract"},{"id":275115,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/2041-210X.12039"}],"volume":"4","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-03-07","publicationStatus":"PW","scienceBaseUri":"51e7bce1e4b080b82b09c639","contributors":{"authors":[{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":480476,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chandler, Richard B. rchandler@usgs.gov","contributorId":63524,"corporation":false,"usgs":true,"family":"Chandler","given":"Richard","email":"rchandler@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":false,"id":480474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sun, Catherine C.","contributorId":70274,"corporation":false,"usgs":false,"family":"Sun","given":"Catherine","email":"","middleInitial":"C.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":480475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":480473,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046529,"text":"70046529 - 2013 - Nitrogen","interactions":[],"lastModifiedDate":"2013-07-12T14:00:16","indexId":"70046529","displayToPublicDate":"2013-07-12T13:59:00","publicationYear":"2013","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":"Nitrogen","docAbstract":"Ammonia was produced by 13 companies at 25 plants in 16 states during 2012. Sixty-one percent of total U.S. ammonia production capacity was centered in Louisiana, Oklahoma and Texas because of those states’ large reserves of natural gas, the dominant domestic feedstock.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Apodaca, L., 2013, Nitrogen: Mining Engineering, v. 2013, no. July, p. 70-71.","productDescription":"2 p.","startPage":"70","endPage":"71","ipdsId":"IP-044450","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":274949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2013","issue":"July","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e11765e4b02f5cae2b732c","contributors":{"authors":[{"text":"Apodaca, L.E.","contributorId":73635,"corporation":false,"usgs":true,"family":"Apodaca","given":"L.E.","email":"","affiliations":[],"preferred":false,"id":479769,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046535,"text":"70046535 - 2013 - Lithium in 2012","interactions":[],"lastModifiedDate":"2016-08-31T12:14:00","indexId":"70046535","displayToPublicDate":"2013-07-12T13:55:00","publicationYear":"2013","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":"Lithium in 2012","docAbstract":"<p>In 2012, estimated world lithium consumption was about 28 kt (31,000 st) of lithium contained in minerals and compounds, an 8 percent increase from that of 2011. Estimated U.S. consumption was about 2 kt (2,200 st) of contained lithium, the same as that of 2011. The United States was thought to rank fourth in consumption of lithium and remained the leading importer of lithium carbonate and the leading producer of value-added lithium materials. One company, Rockwood Lithium Inc., produced lithium compounds from domestic brine resources near Silver Peak, NV.</p>","language":"English","publisher":"SME","usgsCitation":"Jaskula, B., 2013, Lithium in 2012: Mining Engineering, v. 65, no. 7, p. 63-64.","productDescription":"2 p.","startPage":"63","endPage":"64","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044463","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":274948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328131,"type":{"id":15,"text":"Index Page"},"url":"https://me.smenet.org/abstract.cfm?preview=1&articleID=3521&page=40"}],"volume":"65","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e11763e4b02f5cae2b731c","contributors":{"authors":[{"text":"Jaskula, B.W.","contributorId":62496,"corporation":false,"usgs":true,"family":"Jaskula","given":"B.W.","affiliations":[],"preferred":false,"id":479774,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046550,"text":"70046550 - 2013 - Industrial diamond","interactions":[],"lastModifiedDate":"2013-07-12T13:40:42","indexId":"70046550","displayToPublicDate":"2013-07-12T13:38:00","publicationYear":"2013","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":"Industrial diamond","docAbstract":"Estimated 2012 world production of natural and synthetic industrial diamond was about 4.45 billion carats. During 2012, natural industrial diamonds were produced in at least 20 countries, and synthetic industrial diamond was produced in at least 12 countries. About 99 percent of the combined natural and synthetic global output was produced in Belarus, China, Ireland, Japan, Russia, South Africa and the United States. During 2012, China was the world’s leading producer of synthetic industrial diamond followed by the United States and Russia. In 2012, the two U.S. synthetic producers, one in Pennsylvania and the other in Ohio, had an estimated output of 103 million carats, valued at about $70.6 million. This was an estimated 43.7 million carats of synthetic diamond bort, grit, and dust and powder with a value of $14.5 million combined with an estimated 59.7 million carats of synthetic diamond stone with a value of $56.1 million. Also in 2012, nine U.S. firms manufactured polycrystalline diamond (PCD) from synthetic diamond grit and powder. The United States government does not collect or maintain data for either domestic PCD producers or domestic chemical vapor deposition (CVD) diamond producers for quantity or value of annual production. Current trade and consumption quantity data are not available for PCD or for CVD diamond. For these reasons, PCD and CVD diamond are not included in the industrial diamond quantitative data reported here.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Olson, D., 2013, Industrial diamond: Mining Engineering, v. 2013, no. July, p. 53-54.","productDescription":"2 p.","startPage":"53","endPage":"54","ipdsId":"IP-044978","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":274944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2013","issue":"July","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e11761e4b02f5cae2b730c","contributors":{"authors":[{"text":"Olson, D.W.","contributorId":82369,"corporation":false,"usgs":true,"family":"Olson","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":479792,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70188859,"text":"70188859 - 2013 - Stratigraphy and chronology of Provo shoreline deposits and lake-level implications, Late Pleistocene Lake Bonneville, eastern Great Basin, USA","interactions":[],"lastModifiedDate":"2017-06-27T10:16:33","indexId":"70188859","displayToPublicDate":"2013-07-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1068,"text":"Boreas","active":true,"publicationSubtype":{"id":10}},"title":"Stratigraphy and chronology of Provo shoreline deposits and lake-level implications, Late Pleistocene Lake Bonneville, eastern Great Basin, USA","docAbstract":"<p><span>The Provo shoreline of Lake Bonneville formed following the Bonneville flood, and, based on previous dating, was formed during a period of overflow from about 17.5 to 15.0 cal. ka. In many places the Provo shoreline consists of a pair of distinct shorelines, one ∼3 m higher than the other. We present data from two cuts through double beaches to show that the upper beach is younger and represents sedimentation after a lake-level rise. In addition, the lower beach deposits are internally stratified by beds that suggest three more lake-level rises during its development. The Provo beach complex thus appears to have been built during rising lake levels, which can be explained by rises in the overflow threshold by sequential landslide deposition. Evaluation of beach altitudes demonstrates that the two beach crests throughout the Bonneville basin experienced equivalent rebound from removal of the lake load, and therefore they formed after the rebound associated with the Bonneville flood occurred in early Provo time. However, radiocarbon ages on gastropods collected within the beach deposits suggest both that the sequence of five beach deposits formed from </span><i>c.</i><span>18.1 to </span><i>c. </i><span>17.0 cal. ka, and that the Bonneville flood occurred before 18 cal. ka. These ages are discordant with previous dates on shells within offshore sands, and raise questions about the validity of radiocarbon ages for shells in Lake Bonneville as well as about the age of the Bonneville flood and Provo shoreline. The timing for maximum Provo lake depths and its association with climate stages during deglaciation remain unresolved.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1502-3885.2012.00297.x","usgsCitation":"Miller, D., Oviatt, C., and McGeehin, J.P., 2013, Stratigraphy and chronology of Provo shoreline deposits and lake-level implications, Late Pleistocene Lake Bonneville, eastern Great Basin, USA: Boreas, v. 42, no. 2, p. 342-361, https://doi.org/10.1111/j.1502-3885.2012.00297.x.","productDescription":"20 p.","startPage":"342","endPage":"361","ipdsId":"IP-033686","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":342952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Nevada, Utah, Wyoming","otherGeospatial":"Lake Bonneville","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.3,\n              42.7\n            ],\n            [\n              -110.5,\n              42.7\n            ],\n            [\n              -110.5,\n              37.5\n            ],\n            [\n              -114.3,\n              37.5\n            ],\n            [\n              -114.3,\n              42.7\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"42","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-10-25","publicationStatus":"PW","scienceBaseUri":"59536eaee4b062508e3c7ab3","contributors":{"authors":[{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oviatt, Charles G.","contributorId":13503,"corporation":false,"usgs":true,"family":"Oviatt","given":"Charles G.","affiliations":[],"preferred":false,"id":700722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGeehin, John P. mcgeehin@usgs.gov","contributorId":140956,"corporation":false,"usgs":true,"family":"McGeehin","given":"John","email":"mcgeehin@usgs.gov","middleInitial":"P.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":700723,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046211,"text":"70046211 - 2013 - Overview of Chaitén Volcano, Chile, and its 2008-2009 eruption","interactions":[],"lastModifiedDate":"2013-07-05T10:47:26","indexId":"70046211","displayToPublicDate":"2013-07-05T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":766,"text":"Andean Geology","active":true,"publicationSubtype":{"id":10}},"title":"Overview of Chaitén Volcano, Chile, and its 2008-2009 eruption","docAbstract":"Chaitén Volcano erupted unexpectedly in May 2008 in one of the largest eruptions globally since the 1990s. It was the largest rhyolite eruption since the great eruption of Katmai Volcano in 1912, and the first rhyolite eruption to have at least some of its aspects monitored. The eruption consisted of an approximately 2-week-long explosive phase that generated as much as 1 km<sup>3</sup> bulk volume tephra (~0.3 km<sup>3</sup> dense rock equivalent) followed by an approximately 20-month-long effusive phase that erupted about 0.8 km<sup>3</sup> of high-silica rhyolite lava that formed a new dome within the volcano’s caldera. Prior to its eruption, little was known about the eruptive history of the volcano or the hazards it posed to society. This edition of Andean Geology contains a selection of papers that discuss new insights on the eruptive history of Chaitén Volcano, and the broad impacts of and new insights obtained from analyses of the 2008-2009 eruption. Here, we summarize the geographic, tectonic, and climatic setting of Chaitén Volcano and the pre-2008 state of knowledge of its eruptive history to provide context for the papers in this edition, and we provide a revised chronology of the 2008-2009 eruption.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Andean Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Servicio Nacional de Geología y Minería Gobierno de Chile","doi":"10.5027/andgeoV40n2-a01","usgsCitation":"Major, J.J., and Lara, L.E., 2013, Overview of Chaitén Volcano, Chile, and its 2008-2009 eruption: Andean Geology, v. 40, no. 2, p. 196-215, https://doi.org/10.5027/andgeoV40n2-a01.","productDescription":"20 p.","startPage":"196","endPage":"215","ipdsId":"IP-043610","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473703,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5027/andgeov40n2-a01","text":"Publisher Index Page"},{"id":274487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274486,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5027/andgeoV40n2-a01"}],"country":"Chile","otherGeospatial":"Chait�n Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.651333,-42.837897 ], [ -72.651333,-42.837487 ], [ -72.650793,-42.837487 ], [ -72.650793,-42.837897 ], [ -72.651333,-42.837897 ] ] ] } } ] }","volume":"40","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-05-30","publicationStatus":"PW","scienceBaseUri":"51d7dcd5e4b0b0351701e187","contributors":{"authors":[{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":479177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lara, Luis E.","contributorId":40500,"corporation":false,"usgs":true,"family":"Lara","given":"Luis","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":479178,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70115381,"text":"70115381 - 2013 - Water and sediment temperatures at mussel beds in the upper Mississippi River basin","interactions":[],"lastModifiedDate":"2020-12-30T13:21:30.252536","indexId":"70115381","displayToPublicDate":"2013-07-03T10:02:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5254,"text":"Freshwater Mollusk Biology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Water and sediment temperatures at mussel beds in the upper Mississippi River basin","docAbstract":"<p><span>Native freshwater mussels are in global decline and urgently need protection and conservation. Declines in the abundance and diversity of North American mussels have been attributed to human activities that cause pollution, waterquality degradation, and habitat destruction. Recent studies suggest that effects of climate change may also endanger native mussel assemblages, as many mussel species are living close to their upper thermal tolerances. Adult and juvenile mussels spend a large fraction of their lives burrowed into sediments of rivers and lakes. Our objective was to measure surface water and sediment temperatures at known mussel beds in the Upper Mississippi (UMR) and St. Croix (SCR) rivers to estimate the potential for sediments to serve as thermal refugia. Across four mussel beds in the UMR and SCR, surface waters were generally warmer than sediments in summer, and were cooler than sediments in winter. This suggests that sediments may act as a thermal buffer for mussels in these large rivers. Although the magnitude of this effect was usually &lt;3.0°C, sediments were up to 7.5°C cooler at one site in May, suggesting site-specific variation in the ability of sediments to act as thermal buffers. Sediment temperatures in the UMR exceeded those shown to cause mortality in laboratory studies. These data suggest that elevated water temperatures resulting from global warming, thermal discharges, water extraction, and/or droughts have the potential to adversely affect native mussel assemblages.</span></p>","language":"English","publisher":"BioOne","doi":"10.31931/fmbc.v16i2.2013.53-62","usgsCitation":"Newton, T.J., Sauer, J., and Karns, B., 2013, Water and sediment temperatures at mussel beds in the upper Mississippi River basin: Freshwater Mollusk Biology and Conservation, v. 16, no. 2, p. 53-62, https://doi.org/10.31931/fmbc.v16i2.2013.53-62.","productDescription":"10 p.","startPage":"53","endPage":"62","ipdsId":"IP-041287","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":473704,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.31931/fmbc.v16i2.2013.53-62","text":"Publisher Index Page"},{"id":381721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Mississippi River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.25,40.01 ], [ -95.25,47.5 ], [ -89.27,47.5 ], [ -89.27,40.01 ], [ -95.25,40.01 ] ] ] } } ] }","volume":"16","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b67b89e4b014fc094d547d","contributors":{"authors":[{"text":"Newton, Teresa J. 0000-0001-9351-5852 tnewton@usgs.gov","orcid":"https://orcid.org/0000-0001-9351-5852","contributorId":2470,"corporation":false,"usgs":true,"family":"Newton","given":"Teresa","email":"tnewton@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":495608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sauer, Jennifer","contributorId":56329,"corporation":false,"usgs":true,"family":"Sauer","given":"Jennifer","affiliations":[],"preferred":false,"id":495609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karns, Byron","contributorId":86691,"corporation":false,"usgs":true,"family":"Karns","given":"Byron","affiliations":[],"preferred":false,"id":495610,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046290,"text":"70046290 - 2013 - New species of Rhyacodrilus (Annelida: Clitellata: Rhyacodrilinae) of North America, with re-description of R. sodalis (Eisen, 1879)","interactions":[],"lastModifiedDate":"2013-07-02T11:20:57","indexId":"70046290","displayToPublicDate":"2013-07-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3814,"text":"Zootaxa","onlineIssn":"1175-5334","printIssn":"1175-5326","active":true,"publicationSubtype":{"id":10}},"title":"New species of Rhyacodrilus (Annelida: Clitellata: Rhyacodrilinae) of North America, with re-description of R. sodalis (Eisen, 1879)","docAbstract":"Six new Nearctic species of the aquatic oligochaete genus Rhyacodrilus (Annelida, Clitellata, Rhyacodrilinae), are de-scribed, five (R. saelonae sp. n., R. quileuticus sp. n., R. clio sp. n., R. alcyoneus sp. n. and R. longichaeta sp. n.) from western and one (R. propiporus sp. n.) from eastern North America. The taxonomy of the most common Rhyacodrilus species reported in the Nearctic region has been based largely on chaetal characters, which has generated certain confu-sion. The new species give a new perspective on the genus Rhyacodrilus in North America, suggesting a much higher diversity than previously expected. The description of R. longichaeta sp. n. questions the taxonomic status of R. montana (Brinkhurst), which is here regarded as species inquirenda. The taxonomic status of R. sodalis (Eisen) is discussed based on characters of the reproductive system, the existing Lake Tahoe neotype series is invalidated, and a neotype is described from Eisen's type locality. Based on the discussion of the characters of the genus Rhyacodrilus, the genus Stochidrilus Martínez-Ansemil et al. is proposed as a junior synonym of that genus. The presence of the widely reported species R. coccineus has not been confirmed in the study collections, although the species requires a sound revision. A key to the species bearing hair chaetae is provided, based mainly on features of the reproductive system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Zootaxa","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Magnolia Press","doi":"10.11646/zootaxa.3664.1.1","usgsCitation":"Rodriguez, P., and Fend, S.V., 2013, New species of Rhyacodrilus (Annelida: Clitellata: Rhyacodrilinae) of North America, with re-description of R. sodalis (Eisen, 1879): Zootaxa, v. 3664, no. 1, p. 1-44, https://doi.org/10.11646/zootaxa.3664.1.1.","productDescription":"44 p.","startPage":"1","endPage":"44","ipdsId":"IP-044172","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":274425,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274418,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.11646/zootaxa.3664.1.1"}],"volume":"3664","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-05-23","publicationStatus":"PW","scienceBaseUri":"51d3e85ae4b09630fbdc5262","contributors":{"authors":[{"text":"Rodriguez, Pilar","contributorId":91002,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Pilar","email":"","affiliations":[],"preferred":false,"id":479383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fend, Steven V. 0000-0002-4638-6602 svfend@usgs.gov","orcid":"https://orcid.org/0000-0002-4638-6602","contributorId":3591,"corporation":false,"usgs":true,"family":"Fend","given":"Steven","email":"svfend@usgs.gov","middleInitial":"V.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":479382,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70103402,"text":"70103402 - 2013 - Dynamics of fecal indicator bacteria, bacterial pathogen genes, and organic wastewater contaminants in the Little Calumet River: Portage Burns Waterway, Indiana","interactions":[],"lastModifiedDate":"2014-05-02T15:27:31","indexId":"70103402","displayToPublicDate":"2013-07-01T15:14:25","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Dynamics of fecal indicator bacteria, bacterial pathogen genes, and organic wastewater contaminants in the Little Calumet River: Portage Burns Waterway, Indiana","docAbstract":"Little information exists on the co-occurrence of fecal indicator bacteria (FIB), bacterial pathogens, and organic wastewater-associated chemicals (OWCs) within Great Lakes tributaries. Fifteen watershed sites and one beach site adjacent to the Little Calumet River–Portage Burns Waterway (LCRPBW) on Lake Michigan were tested on four dates for pH, dissolved oxygen, specific conductance, chloride, color, ammonia- and nitrate-nitrogen, soluble phosphorus, sulfate, turbidity, and atrazine; for concentrations of FIB; and for genes indicating the presence of human-pathogenic enterococci (ENT) and of Shiga-toxin producing Escherichia coli (EC) from various animal sources. Nineteen samples were also tested for 60 OWCs. Half of the watershed samples met EC recreational water quality standards; none met ENT standards. Human-wastewater-associated OWC detections were correlated with human-influence indicators such as population/km<sup>2</sup>, chloride concentrations, and the presence of WWTP effluents, but EC and ENT concentrations were not. Bacterial pathogen genes indicated rural human and several potential animal sources. OWCs of human or ecosystem health concern (musk fragrances AHTN and HHCB, alkylphenols, carbamazepine) and 3 bacterial pathogen genes were detected at the mouth of the LCRPBW, but no such OWCs and only 1 pathogen gene were detected at the beach. The LCRPBW has significant potential to deliver FIB, potential bacterial pathogens, and OWCs of human or ecosystem health concern to the nearshore of Lake Michigan, under conditions enhancing nearshore transport of the river plume. Nearshore mixing of lake and river water, and the lack of relationship between OWCs and FIB or pathogen genes, pose numerous challenges for watershed and nearshore assessment and remediation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Journal of Great Lakes Research","doi":"10.1016/j.jglr.2013.03.015","usgsCitation":"Haack, S.K., and Duris, J.W., 2013, Dynamics of fecal indicator bacteria, bacterial pathogen genes, and organic wastewater contaminants in the Little Calumet River: Portage Burns Waterway, Indiana: Journal of Great Lakes Research, v. 39, no. 2, p. 317-326, https://doi.org/10.1016/j.jglr.2013.03.015.","productDescription":"10 p.","startPage":"317","endPage":"326","ipdsId":"IP-032243","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":286852,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286851,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2013.03.015"}],"country":"United States","state":"Indiana","otherGeospatial":"Little Calumet River - Portage Burns Waterway","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.5,41.2 ], [ -87.5,41.7 ], [ -87.83,41.7 ], [ -87.83,41.2 ], [ -87.5,41.2 ] ] ] } } ] }","volume":"39","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53771743e4b02eab8669ebbf","contributors":{"authors":[{"text":"Haack, Sheridan K. skhaack@usgs.gov","contributorId":1982,"corporation":false,"usgs":true,"family":"Haack","given":"Sheridan","email":"skhaack@usgs.gov","middleInitial":"K.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duris, Joseph W. 0000-0002-8669-8109 jwduris@usgs.gov","orcid":"https://orcid.org/0000-0002-8669-8109","contributorId":1981,"corporation":false,"usgs":true,"family":"Duris","given":"Joseph","email":"jwduris@usgs.gov","middleInitial":"W.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":493329,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048222,"text":"70048222 - 2013 - Carnivore use of avocado orchards across an agricultural-wildland gradient","interactions":[],"lastModifiedDate":"2013-09-17T12:54:36","indexId":"70048222","displayToPublicDate":"2013-07-01T12:48:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Carnivore use of avocado orchards across an agricultural-wildland gradient","docAbstract":"Wide-ranging species cannot persist in reserves alone. Consequently, there is growing interest in the conservation value of agricultural lands that separate or buffer natural areas. The value of agricultural lands for wildlife habitat and connectivity varies as a function of the crop type and landscape context, and quantifying these differences will improve our ability to manage these lands more effectively for animals. In southern California, many species are present in avocado orchards, including mammalian carnivores. We examined occupancy of avocado orchards by mammalian carnivores across agricultural-wildland gradients in southern California with motion-activated cameras. More carnivore species were detected with cameras in orchards than in wildland sites, and for bobcats and gray foxes, orchards were associated with higher occupancy rates. Our results demonstrate that agricultural lands have potential to contribute to conservation by providing habitat or facilitating landscape connectivity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0068025","usgsCitation":"Nogeire, T.M., Davis, F., Duggan, J.M., Crooks, K.R., and Boydston, E.E., 2013, Carnivore use of avocado orchards across an agricultural-wildland gradient: PLoS ONE, v. 8, no. 7, 6 p., https://doi.org/10.1371/journal.pone.0068025.","productDescription":"6 p.","numberOfPages":"6","ipdsId":"IP-045973","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":473707,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0068025","text":"Publisher Index Page"},{"id":277627,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0068025"},{"id":277629,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Santa Barbara County;Ventura County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0934,33.6995 ], [ -120.0934,35.0141 ], [ -118.1954,35.0141 ], [ -118.1954,33.6995 ], [ -120.0934,33.6995 ] ] ] } } ] }","volume":"8","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-07-02","publicationStatus":"PW","scienceBaseUri":"523979e4e4b04b9308ae4e6f","contributors":{"authors":[{"text":"Nogeire, Theresa M.","contributorId":83434,"corporation":false,"usgs":true,"family":"Nogeire","given":"Theresa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Frank W.","contributorId":70273,"corporation":false,"usgs":true,"family":"Davis","given":"Frank W.","affiliations":[],"preferred":false,"id":484034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duggan, Jennifer M.","contributorId":55320,"corporation":false,"usgs":true,"family":"Duggan","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crooks, Kevin R.","contributorId":51137,"corporation":false,"usgs":false,"family":"Crooks","given":"Kevin","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":484032,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boydston, Erin E. 0000-0002-8452-835X eboydston@usgs.gov","orcid":"https://orcid.org/0000-0002-8452-835X","contributorId":1705,"corporation":false,"usgs":true,"family":"Boydston","given":"Erin","email":"eboydston@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":484031,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70057585,"text":"70057585 - 2013 - Rivermouth alteration of agricultural impacts on consumer tissue δ<sup>15</sup>N","interactions":[],"lastModifiedDate":"2013-11-26T12:13:43","indexId":"70057585","displayToPublicDate":"2013-07-01T12:06:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Rivermouth alteration of agricultural impacts on consumer tissue δ<sup>15</sup>N","docAbstract":"Terrestrial agricultural activities strongly influence riverine nitrogen (N) dynamics, which is reflected in the δ<sup>15</sup>N of riverine consumer tissues. However, processes within aquatic ecosystems also influence consumer tissue δ<sup>15</sup>N. As aquatic processes become more important terrestrial inputs may become a weaker predictor of consumer tissue δ<sup>15</sup>N. In a previous study, this terrestrial-consumer tissue δ<sup>15</sup>N connection was very strong at river sites, but was disrupted by processes occurring in rivermouths (the ‘rivermouth effect’). This suggested that watershed indicators of N loading might be accurate in riverine settings, but could be inaccurate when considering N loading to the nearshore of large lakes and oceans. In this study, the rivermouth effect was examined on twenty-five sites spread across the Laurentian Great Lakes. Relationships between agriculture and consumer tissue δ<sup>15</sup>N occurred in both upstream rivers and at the outlets where rivermouths connect to the nearshore zone, but agriculture explained less variation and had a weaker effect at the outlet. These results suggest that rivermouths may sometimes be significant sources or sinks of N, which would cause N loading estimates to the nearshore zone that are typically made at discharge gages further upstream to be inaccurate. Identifying definitively the controls over the rivermouth effect on N loading (and other nutrients) will require integration of biogeochemical and hydrologic models.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0069313","usgsCitation":"Larson, J.H., Richardson, W.B., Vallazza, J.M., and Nelson, J., 2013, Rivermouth alteration of agricultural impacts on consumer tissue δ<sup>15</sup>N: PLoS ONE, v. 8, no. 7, 8 p., https://doi.org/10.1371/journal.pone.0069313.","productDescription":"8 p.","numberOfPages":"8","ipdsId":"IP-042888","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":473709,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0069313","text":"Publisher Index Page"},{"id":279800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279645,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0069313"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,41.38 ], [ -92.11,48.85 ], [ -76.3,48.85 ], [ -76.3,41.38 ], [ -92.11,41.38 ] ] ] } } ] }","volume":"8","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-07-31","publicationStatus":"PW","scienceBaseUri":"5295d12ae4b0becc369c8c95","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":486821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richardson, William B. 0000-0002-7471-4394 wrichardson@usgs.gov","orcid":"https://orcid.org/0000-0002-7471-4394","contributorId":3277,"corporation":false,"usgs":true,"family":"Richardson","given":"William","email":"wrichardson@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":486819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vallazza, Jonathan M. jvallazza@usgs.gov","contributorId":3651,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jonathan","email":"jvallazza@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":486820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, J. C. 0000-0002-7105-0107 jcnelson@usgs.gov","orcid":"https://orcid.org/0000-0002-7105-0107","contributorId":459,"corporation":false,"usgs":true,"family":"Nelson","given":"J. C.","email":"jcnelson@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":486818,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048419,"text":"70048419 - 2013 - Movements and habitat-use of loggerhead sea turtles in the northern Gulf of Mexico during the reproductive period","interactions":[],"lastModifiedDate":"2017-06-09T15:49:29","indexId":"70048419","displayToPublicDate":"2013-07-01T09:58:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Movements and habitat-use of loggerhead sea turtles in the northern Gulf of Mexico during the reproductive period","docAbstract":"Nesting strategies and use of important in-water habitats for far-ranging marine turtles can be determined using satellite telemetry. Because of a lack of information on habitat-use by marine turtles in the northern Gulf of Mexico, we used satellite transmitters in 2010 through 2012 to track movements of 39 adult female breeding loggerhead turtles (Caretta caretta) tagged on nesting beaches at three sites in Florida and Alabama. During the nesting season, recaptured turtles emerged to nest 1 to 5 times, with mean distance between emergences of 27.5 km; however, several turtles nested on beaches separated by ~250 km within a single season. Mean total distances traveled throughout inter-nesting periods for all turtles was 1422.0±930.8 km. In-water inter-nesting sites, delineated using 50% kernel density estimation (KDE), were located a mean distance of 33.0 km from land, in water with mean depth of −31.6 m; other in-water inter-nesting sites, delineated using minimum convex polygon (MCP) approach, were located a mean 13.8 km from land and in water with a mean depth of −15.8 m. Mean size of in-water inter-nesting habitats were 61.9 km<sup>2</sup> (50% KDEs, n = 10) and 741.4 km<sup>2</sup> (MCPs, n = 30); these areas overlapped significantly with trawling and oil and gas extraction activities. Abundance estimates for this nesting subpopulation may be inaccurate in light of how much spread there is between nests of the same individual. Further, our results also have consequences for critical habitat designations for northern Gulf loggerheads, as protection of one nesting beach would not encompass the entire range used by turtles during breeding seasons.","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0066921","usgsCitation":"Hart, K.M., Lamont, M.M., Sartain-Iverson, A.R., Fujisaki, I., and Stephens, B.S., 2013, Movements and habitat-use of loggerhead sea turtles in the northern Gulf of Mexico during the reproductive period: PLoS ONE, v. 8, no. 7, e66921; 15 p., https://doi.org/10.1371/journal.pone.0066921.","productDescription":"e66921; 15 p.","numberOfPages":"15","ipdsId":"IP-044192","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473716,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0066921","text":"Publisher Index Page"},{"id":278185,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278184,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0066921"}],"country":"United States","state":"Alabama, Florida","otherGeospatial":"Gulf of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.0,26.0 ], [ -90.0,32.0 ], [ -82.0,32.0 ], [ -82.0,26.0 ], [ -90.0,26.0 ] ] ] } } ] }","volume":"8","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-07-03","publicationStatus":"PW","scienceBaseUri":"5246e91ae4b035b7f35adddc","contributors":{"authors":[{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":484566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lamont, Margaret M. 0000-0001-7520-6669 mlamont@usgs.gov","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":4525,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","email":"mlamont@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":484567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sartain-Iverson, Autumn R. 0000-0002-8353-6745 asartain@usgs.gov","orcid":"https://orcid.org/0000-0002-8353-6745","contributorId":5477,"corporation":false,"usgs":true,"family":"Sartain-Iverson","given":"Autumn","email":"asartain@usgs.gov","middleInitial":"R.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":484568,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fujisaki, Ikuko","contributorId":31108,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":484569,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stephens, Brail S.","contributorId":105214,"corporation":false,"usgs":true,"family":"Stephens","given":"Brail","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":484570,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040562,"text":"70040562 - 2013 - Modeling transport of nutrients & sediment loads into Lake Tahoe under climate change","interactions":[],"lastModifiedDate":"2013-07-01T11:29:47","indexId":"70040562","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Modeling transport of nutrients & sediment loads into Lake Tahoe under climate change","docAbstract":"The outputs from two General Circulation Models (GCMs) with two emissions scenarios were downscaled and bias-corrected to develop regional climate change projections for the Tahoe Basin. For one model—the Geophysical Fluid Dynamics Laboratory or GFDL model—the daily model results were used to drive a distributed hydrologic model. The watershed model used an energy balance approach for computing evapotranspiration and snowpack dynamics so that the processes remain a function of the climate change projections. For this study, all other aspects of the model (i.e. land use distribution, routing configuration, and parameterization) were held constant to isolate impacts of climate change projections. The results indicate that (1) precipitation falling as rain rather than snow will increase, starting at the current mean snowline, and moving towards higher elevations over time; (2) annual accumulated snowpack will be reduced; (3) snowpack accumulation will start later; and (4) snowmelt will start earlier in the year. Certain changes were masked (or counter-balanced) when summarized as basin-wide averages; however, spatial evaluation added notable resolution. While rainfall runoff increased at higher elevations, a drop in total precipitation volume decreased runoff and fine sediment load from the lower elevation meadow areas and also decreased baseflow and nitrogen loads basin-wide. This finding also highlights the important role that the meadow areas could play as high-flow buffers under climatic change. Because the watershed model accounts for elevation change and variable meteorological patterns, it provided a robust platform for evaluating the impacts of projected climate change on hydrology and water quality.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climatic Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10584-012-0629-8","usgsCitation":"Riverson, J., Coats, R., Costa-Cabral, M., Dettinger, M., Reuter, J., Sahoo, G., and Schladow, G., 2013, Modeling transport of nutrients & sediment loads into Lake Tahoe under climate change: Climatic Change, v. 116, no. 1, p. 35-50, https://doi.org/10.1007/s10584-012-0629-8.","productDescription":"16 p.","startPage":"35","endPage":"50","ipdsId":"IP-041968","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":274350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274349,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-012-0629-8"}],"country":"United States","state":"Nevada;California","otherGeospatial":"Lake Tahoe","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.163938,38.936611 ], [ -120.163938,39.248854 ], [ -119.926019,39.248854 ], [ -119.926019,38.936611 ], [ -120.163938,38.936611 ] ] ] } } ] }","volume":"116","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-11-15","publicationStatus":"PW","scienceBaseUri":"51d296d8e4b0ca18483389af","contributors":{"authors":[{"text":"Riverson, John","contributorId":39677,"corporation":false,"usgs":true,"family":"Riverson","given":"John","email":"","affiliations":[],"preferred":false,"id":468539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coats, Robert","contributorId":108007,"corporation":false,"usgs":true,"family":"Coats","given":"Robert","affiliations":[],"preferred":false,"id":468543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Costa-Cabral, Mariza","contributorId":42507,"corporation":false,"usgs":true,"family":"Costa-Cabral","given":"Mariza","email":"","affiliations":[],"preferred":false,"id":468540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dettinger, Mike 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":859,"corporation":false,"usgs":true,"family":"Dettinger","given":"Mike","email":"mddettin@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":468537,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reuter, John","contributorId":107169,"corporation":false,"usgs":true,"family":"Reuter","given":"John","email":"","affiliations":[],"preferred":false,"id":468542,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sahoo, Goloka","contributorId":82204,"corporation":false,"usgs":true,"family":"Sahoo","given":"Goloka","email":"","affiliations":[],"preferred":false,"id":468541,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schladow, Geoffrey","contributorId":10312,"corporation":false,"usgs":true,"family":"Schladow","given":"Geoffrey","email":"","affiliations":[],"preferred":false,"id":468538,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70041498,"text":"70041498 - 2013 - Modeled distribution and abundance of a pelagic seabird reveal trends in relation to fisheries","interactions":[],"lastModifiedDate":"2013-07-01T11:40:22","indexId":"70041498","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Modeled distribution and abundance of a pelagic seabird reveal trends in relation to fisheries","docAbstract":"The northern fulmar Fulmarus glacialis is one of the most visible and widespread seabirds in the eastern Bering Sea and Aleutian Islands. However, relatively little is known about its abundance, trends, or the factors that shape its distribution. We used a long-term pelagic dataset to model changes in fulmar at-sea distribution and abundance since the mid-1970s. We used an ensemble model, based on a weighted average of generalized additive model (GAM), multivariate adaptive regression splines (MARS), and random forest models to estimate the pelagic distribution and density of fulmars in the waters of the Aleutian Archipelago and Bering Sea. The most important predictor variables were colony effect, sea surface temperature, distribution of fisheries, location, and primary productivity. We calculated a time series from the ratio of observed to predicted values and found that fulmar at-sea abundance declined from the 1970s to the 2000s at a rate of 0.83% (± 0.39% SE) per annum. Interpolating fulmar densities on a spatial grid through time, we found that the center of fulmar distribution in the Bering Sea has shifted north, coinciding with a northward shift in fish catches and a warming ocean. Our study shows that fisheries are an important, but not the only factor, shaping fulmar distribution and abundance trends in the eastern Bering Sea and Aleutian Islands.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Ecology Progress Series","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Inter-Research","doi":"10.3354/meps10347","usgsCitation":"Renner, M., Parrish, J.K., Piatt, J.F., Kuletz, K.J., Edwards, A.E., and Hunt, G.L., 2013, Modeled distribution and abundance of a pelagic seabird reveal trends in relation to fisheries: Marine Ecology Progress Series, v. 484, p. 259-277, https://doi.org/10.3354/meps10347.","productDescription":"19 p.","startPage":"259","endPage":"277","ipdsId":"IP-040194","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":473720,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps10347","text":"Publisher Index Page"},{"id":274354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274353,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/meps10347"}],"otherGeospatial":"Bering Sea;Aleutian Islands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 161.98,51.2 ], [ 161.98,66.05 ], [ -150.9,66.05 ], [ -150.9,51.2 ], [ 161.98,51.2 ] ] ] } } ] }","volume":"484","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d296d7e4b0ca18483389ab","contributors":{"authors":[{"text":"Renner, Martin","contributorId":18648,"corporation":false,"usgs":true,"family":"Renner","given":"Martin","affiliations":[],"preferred":false,"id":469852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parrish, Julia K.","contributorId":47270,"corporation":false,"usgs":true,"family":"Parrish","given":"Julia","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":469854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":469851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuletz, Kathy J.","contributorId":24669,"corporation":false,"usgs":true,"family":"Kuletz","given":"Kathy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":469853,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edwards, Ann E.","contributorId":62110,"corporation":false,"usgs":true,"family":"Edwards","given":"Ann","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":469856,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunt, George L. Jr.","contributorId":56953,"corporation":false,"usgs":true,"family":"Hunt","given":"George","suffix":"Jr.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":469855,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70188536,"text":"70188536 - 2013 - A volcanic activity alert-level system for aviation: Review of its development and application in Alaska","interactions":[],"lastModifiedDate":"2019-12-17T16:45:00","indexId":"70188536","displayToPublicDate":"2013-06-27T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"A volcanic activity alert-level system for aviation: Review of its development and application in Alaska","docAbstract":"<p><span>An alert-level system for communicating volcano hazard information to the aviation industry was devised by the Alaska Volcano Observatory (AVO) during the 1989–1990 eruption of Redoubt Volcano. The system uses a simple, color-coded ranking that focuses on volcanic ash emissions: Green—normal background; Yellow—signs of unrest; Orange—precursory unrest or minor ash eruption; Red—major ash eruption imminent or underway. The color code has been successfully applied on a regional scale in Alaska for a sustained period. During 2002–2011, elevated color codes were assigned by AVO to 13 volcanoes, eight of which erupted; for that decade, one or more Alaskan volcanoes were at Yellow on 67&nbsp;% of days and at Orange or Red on 12&nbsp;% of days. As evidence of its utility, the color code system is integrated into procedures of agencies responsible for air-traffic management and aviation meteorology in Alaska. Furthermore, it is endorsed as a key part of globally coordinated protocols established by the International Civil Aviation Organization to provide warnings of ash hazards to aviation worldwide. The color code and accompanying structured message (called a Volcano Observatory Notice for Aviation) comprise an effective early-warning message system according to the United Nations International Strategy for Disaster Reduction. The aviation color code system currently is used in the United States, Russia, New Zealand, Iceland, and partially in the Philippines, Papua New Guinea, and Indonesia. Although there are some barriers to implementation, with continued education and outreach to Volcano Observatories worldwide, greater use of the aviation color code system is achievable.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11069-013-0761-4","usgsCitation":"Guffanti, M.C., and Miller, T., 2013, A volcanic activity alert-level system for aviation: Review of its development and application in Alaska: Natural Hazards, v. 69, p. 1519-1533, https://doi.org/10.1007/s11069-013-0761-4.","productDescription":"15 p. ","startPage":"1519","endPage":"1533","ipdsId":"IP-046227","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":342505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -140.9765625,\n              69.3493386397765\n            ],\n            [\n              -156.708984375,\n              70.69995129442536\n            ],\n            [\n              -160.6640625,\n              70.28911664330674\n            ],\n            [\n              -165.673828125,\n              66.19600891267761\n            ],\n            [\n              -166.11328125,\n              62.95522304515911\n            ],\n            [\n              -162.7734375,\n              58.49369382056807\n            ],\n            [\n              -159.2578125,\n              57.61010702068388\n            ],\n            [\n              -165.322265625,\n              54.92714186454645\n            ],\n            [\n              -165.673828125,\n              53.85252660044951\n            ],\n            [\n              -152.75390624999997,\n              56.607885465009254\n            ],\n            [\n              -150.205078125,\n              58.90464570302001\n            ],\n            [\n              -146.95312499999997,\n              59.66774058164963\n            ],\n            [\n              -143.701171875,\n              59.62332522313024\n            ],\n            [\n              -136.845703125,\n              57.18390185831188\n            ],\n            [\n              -130.078125,\n              51.508742458803326\n            ],\n            [\n              -129.814453125,\n              55.825973254619015\n            ],\n            [\n              -135.52734375,\n              59.62332522313024\n            ],\n            [\n              -141.064453125,\n              60.54377524118842\n            ],\n            [\n              -140.9765625,\n              69.3493386397765\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"69","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-06-27","publicationStatus":"PW","scienceBaseUri":"59424b3ce4b0764e6c65dc67","contributors":{"authors":[{"text":"Guffanti, Marianne C. guffanti@usgs.gov","contributorId":641,"corporation":false,"usgs":true,"family":"Guffanti","given":"Marianne","email":"guffanti@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":698175,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Thomas tmiller@usgs.gov","contributorId":146825,"corporation":false,"usgs":true,"family":"Miller","given":"Thomas","email":"tmiller@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":698176,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046040,"text":"70046040 - 2013 - Measuring the relative resilience of subarctic lakes to global change: redundancies of functions within and across temporal scales","interactions":[],"lastModifiedDate":"2017-02-13T14:31:47","indexId":"70046040","displayToPublicDate":"2013-06-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Measuring the relative resilience of subarctic lakes to global change: redundancies of functions within and across temporal scales","docAbstract":"1. Ecosystems at high altitudes and latitudes are expected to be particularly vulnerable to the effects of global change. We assessed the responses of littoral invertebrate communities to changing abiotic conditions in subarctic Swedish lakes with long-term data (1988–2010) and compared the responses of subarctic lakes with those of more southern, hemiboreal lakes. 2. We used a complex systems approach, based on multivariate time-series modelling, and identified dominant and distinct temporal frequencies in the data; that is, we tracked community change at distinct temporal scales. We determined the distribution of functional feeding groups of invertebrates within and across temporal scales. Within and cross-scale distributions of functions have been considered to confer resilience to ecosystems, despite changing environmental conditions. 3. Two patterns of temporal change within the invertebrate communities were identified that were consistent across the lakes. The first pattern was one of monotonic change associated with changing abiotic lake conditions. The second was one of showing fluctuation patterns largely unrelated to gradual environmental change. Thus, two dominant and distinct temporal frequencies (temporal scales) were present in all lakes analysed. 4. Although the contribution of individual feeding groups varied between subarctic and hemiboreal lakes, they shared overall similar functional attributes (richness, evenness, diversity) and redundancies of functions within and between the observed temporal scales. This highlights similar resilience characteristics in subarctic and hemiboreal lakes. 5. Synthesis and applications. The effects of global change can be particularly strong at a single scale in ecosystems. Over time, this can cause monotonic change in communities and eventually lead to a loss of important ecosystem services upon reaching a critical threshold. Dynamics at other spatial or temporal scales can be unrelated to environmental change. The relative ‘intactness’ of these scales that are unaffected by global change and the persistence of functions at those scales may safeguard the whole system from the potential loss of functions at the scale at which global change impacts can be substantial. Thus, an understanding of scale-specific processes provides managers with a realistic assessment of vulnerabilities and the relative resilience of ecosystems to environmental change. Explicit consideration of ‘intact’ and ‘affected’ scales in analyses of global change impacts provides opportunities to tailor more specific management plans.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.12092","usgsCitation":"Angeler, D., Allen, C.R., and Johnson, R.K., 2013, Measuring the relative resilience of subarctic lakes to global change: redundancies of functions within and across temporal scales: Journal of Applied Ecology, v. 50, no. 3, p. 572-584, https://doi.org/10.1111/1365-2664.12092.","productDescription":"13 p.","startPage":"572","endPage":"584","ipdsId":"IP-043647","costCenters":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":473729,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12092","text":"Publisher Index Page"},{"id":274251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274250,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/1365-2664.12092"}],"volume":"50","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-04-29","publicationStatus":"PW","scienceBaseUri":"51cbff56e4b052f2a4539877","contributors":{"authors":[{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":478742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":478740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Richard K.","contributorId":21810,"corporation":false,"usgs":true,"family":"Johnson","given":"Richard","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":478741,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045533,"text":"70045533 - 2013 - Genomic analysis of avian influenza viruses from waterfowl in Western Alaska, USA","interactions":[],"lastModifiedDate":"2018-07-14T14:12:53","indexId":"70045533","displayToPublicDate":"2013-06-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Genomic analysis of avian influenza viruses from waterfowl in Western Alaska, USA","docAbstract":"The Yukon-Kuskokwim Delta (Y-K Delta) in western Alaska is an immense and important breeding ground for waterfowl. Migratory birds from the Pacific Americas, Central Pacific, and East Asian-Australasian flyways converge in this region, providing opportunities for intermixing of North American- and Eurasian-origin hosts and infectious agents, such as avian influenza virus (AIV). We characterized the genomes of 90 low pathogenic (LP) AIV isolates from 11 species of waterfowl sampled on the Y-K Delta between 2006 and 2009 as part of an interagency surveillance program for the detection of the H5N1 highly pathogenic (HP) strain of AIV. We found evidence for subtype and genetic differences between viruses from swans and geese, dabbling ducks, and sea ducks. At least one gene segment in 39% of all isolates was Eurasian in origin. Target species (those ranked as having a relatively high potential to introduce HP H5N1 AIV to North America) were no more likely than nontarget species to carry viruses with genes of Eurasian origin. These findings provide evidence that the frequency at which viral gene segments of Eurasian origin are detected does not result from a strong species effect, but rather we suspect it is linked to the geographic location of the Y-K Delta in western Alaska where flyways from different continents overlap. This study provides support for retaining the Y-K Delta as a high priority region for the surveillance of Asian avian pathogens such as HP H5N1 AIV.","language":"English","publisher":"WDA","doi":"10.7589/2012-04-108","usgsCitation":"Reeves, A.B., Pearce, J.M., Ramey, A.M., Ely, C.R., Schmutz, J.A., Flint, P.L., Derksen, D.V., Ip, S., and Trust, K.A., 2013, Genomic analysis of avian influenza viruses from waterfowl in Western Alaska, USA: Journal of Wildlife Diseases, v. 49, no. 3, p. 600-610, https://doi.org/10.7589/2012-04-108.","productDescription":"11 p.","startPage":"600","endPage":"610","ipdsId":"IP-041234","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":274133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274132,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.7589/2012-04-108"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,51.2 ], [ 172.5,71.4 ], [ -130.0,71.4 ], [ -130.0,51.2 ], [ 172.5,51.2 ] ] ] } } ] }","volume":"49","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c95c59e4b0a50a6e8f57a0","contributors":{"authors":[{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":477773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearce, John M. 0000-0002-8503-5485 jpearce@usgs.gov","orcid":"https://orcid.org/0000-0002-8503-5485","contributorId":181766,"corporation":false,"usgs":true,"family":"Pearce","given":"John","email":"jpearce@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":477775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":477774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ely, Craig R. 0000-0003-4262-0892 cely@usgs.gov","orcid":"https://orcid.org/0000-0003-4262-0892","contributorId":3214,"corporation":false,"usgs":true,"family":"Ely","given":"Craig","email":"cely@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":477776,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":477769,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":477772,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Derksen, Dirk V. dderksen@usgs.gov","contributorId":2269,"corporation":false,"usgs":true,"family":"Derksen","given":"Dirk","email":"dderksen@usgs.gov","middleInitial":"V.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":477771,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":477770,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Trust, Kimberly A.","contributorId":42503,"corporation":false,"usgs":false,"family":"Trust","given":"Kimberly","email":"","middleInitial":"A.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":477777,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70040886,"text":"70040886 - 2013 - Breeding biology of an afrotropical forest understory bird community in northeastern Tanzania","interactions":[],"lastModifiedDate":"2018-10-20T12:39:51","indexId":"70040886","displayToPublicDate":"2013-06-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Breeding biology of an afrotropical forest understory bird community in northeastern Tanzania","docAbstract":"Many aspects of the breeding biology of Afrotropical forest birds are poorly known. Here we provide a description based on the monitoring of 1461 active nests over eight breeding seasons about one or more aspects of the breeding biology for 28 coexisting understory bird species on the Amani Plateau in the East Usambara Mountains, Tanzania. Mean nest height and mean distance of nest from forest edge varied widely among species with most species constructing nests across a broad vertical and forest edge to interior gradient. However, there were important exceptions with all sunbird species and several dove and waxbill species constructing nests in close proximity to the forest edge. For 17 common species for which we recorded two or more active nests, mean clutch size across species was 1.9 eggs per clutch, the lowest site-specific mean clutch size yet reported for a tropical forest bird community. For nine bird species, a subset of the 17 common species, length of breeding season, defined as the difference between the earliest and latest recorded incubation onset date, ranged from 88–139 days. Most of these nine species displayed a unimodal distribution in incubation onset dates across a breeding season which extended from the end of August through middle January. In summary, a wide variation exists in most aspects of the breeding biology within an understory forest bird community in the East Usambara Mountains.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wilson Journal of Ornithology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Wilson Ornithological Society","doi":"10.1676/12-138.1","usgsCitation":"Mkongewa, V.J., Newmark, W.D., and Stanley, T.R., 2013, Breeding biology of an afrotropical forest understory bird community in northeastern Tanzania: Wilson Journal of Ornithology, v. 125, no. 2, p. 260-267, https://doi.org/10.1676/12-138.1.","productDescription":"8 p.","startPage":"260","endPage":"267","ipdsId":"IP-042347","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":274032,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274031,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1676/12-138.1"}],"country":"Tanzania","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 29.3,-11.8 ], [ 29.3,-1.0 ], [ 40.4,-1.0 ], [ 40.4,-11.8 ], [ 29.3,-11.8 ] ] ] } } ] }","volume":"125","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c42208e4b03c77dce659ff","contributors":{"authors":[{"text":"Mkongewa, Victor J.","contributorId":22656,"corporation":false,"usgs":true,"family":"Mkongewa","given":"Victor","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":469166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newmark, William D.","contributorId":95783,"corporation":false,"usgs":true,"family":"Newmark","given":"William","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":469167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanley, Thomas R. 0000-0002-8393-0005 stanleyt@usgs.gov","orcid":"https://orcid.org/0000-0002-8393-0005","contributorId":209928,"corporation":false,"usgs":true,"family":"Stanley","given":"Thomas","email":"stanleyt@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":469165,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045031,"text":"70045031 - 2013 - Dynamic deformation of Seguam Island, Alaska, 1992--2008, from multi-interferogram InSAR processing","interactions":[],"lastModifiedDate":"2013-07-01T10:11:32","indexId":"70045031","displayToPublicDate":"2013-06-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic deformation of Seguam Island, Alaska, 1992--2008, from multi-interferogram InSAR processing","docAbstract":"We generated a time-series of ERS-1/2 and ENVISAT interferometric synthetic aperture radar (InSAR) images to study ground surface deformation at Seguam Island from 1992 to 2008. We used the small baseline subset (SBAS) technique to reduce artifacts associated with baseline uncertainties and atmospheric delay anomalies, and processed images from two adjacent tracks to validate our results. Seguam Island comprises the remnants of two late Quaternary calderas, one in the western caldera of the island and one in the eastern part of the island. The western caldera subsided at a constant rate of ~ 1.6 cm/yr throughout the study period, while the eastern caldera experienced alternating periods of subsidence and uplift: ~ 5 cm/year uplift during January 1993–October 1993 (stage 1), ~ 1.6 cm/year subsidence during October 1993–November 1998 (stage 2), ~ 2.0 cm/year uplift during November 1998–September 2000 (stage 3), ~ 1.4 cm/year subsidence during September 2000–November 2005 (stage 4), and ~ 0.8 cm/year uplift during November 2005– July 2007 (stage 5). Source modeling indicates a deflationary source less than 2 km below sea level (BSL) beneath the western caldera and two sources beneath the eastern caldera: an inflationary source 2.5–6.0 km BSL and a deflationary source less than 2 km BSL. We suggest that uplift of the eastern caldera is driven by episodic intrusions of basaltic magma into a poroelastic reservoir 2.5–6.0 km BSL beneath the caldera. Cooling and degassing of the reservoir between intrusions results in steady subsidence of the overlying surface. Although we found no evidence of magma intrusion beneath the western caldera during the study period, it is the site (Pyre Peak) of all historical eruptions on the island and therefore cooling and degassing of intrusions presumably contributes to subsidence there as well. Another likely subsidence mechanism in the western caldera is thermoelastic contraction of lava flows emplaced near Pyre Peak during several historical eruptions, most recently in 1977 and 1992–93.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Volcanology and Geothermal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2013.05.009","usgsCitation":"Lee, C., Lu, Z., Won, J., Jung, H., and Dzurisin, D., 2013, Dynamic deformation of Seguam Island, Alaska, 1992--2008, from multi-interferogram InSAR processing: Journal of Volcanology and Geothermal Research, v. 260, p. 43-51, https://doi.org/10.1016/j.jvolgeores.2013.05.009.","productDescription":"9 p.","startPage":"43","endPage":"51","ipdsId":"IP-026604","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":273991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273989,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jvolgeores.2013.05.009"}],"country":"United States","state":"Alaska","otherGeospatial":"Seguam Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,51.2 ], [ 172.5,71.4 ], [ -130.0,71.4 ], [ -130.0,51.2 ], [ 172.5,51.2 ] ] ] } } ] }","volume":"260","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c17357e4b0dd0e00d92183","contributors":{"authors":[{"text":"Lee, Chang-Wook","contributorId":15748,"corporation":false,"usgs":true,"family":"Lee","given":"Chang-Wook","email":"","affiliations":[],"preferred":false,"id":476652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Zhong 0000-0001-9181-1818 lu@usgs.gov","orcid":"https://orcid.org/0000-0001-9181-1818","contributorId":901,"corporation":false,"usgs":true,"family":"Lu","given":"Zhong","email":"lu@usgs.gov","affiliations":[],"preferred":true,"id":476651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Won, Joong-Sun","contributorId":16966,"corporation":false,"usgs":true,"family":"Won","given":"Joong-Sun","email":"","affiliations":[],"preferred":false,"id":476653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jung, Hyung-Sup","contributorId":58382,"corporation":false,"usgs":true,"family":"Jung","given":"Hyung-Sup","email":"","affiliations":[],"preferred":false,"id":476654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dzurisin, Daniel 0000-0002-0138-5067 dzurisin@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-5067","contributorId":538,"corporation":false,"usgs":true,"family":"Dzurisin","given":"Daniel","email":"dzurisin@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":476650,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046537,"text":"ofr20131067 - 2013 - 2010 Joint United States-Canadian Program to explore the limits of the Extended Continental Shelf aboard U.S. Coast Guard Cutter Healy--Cruise HLY1002","interactions":[],"lastModifiedDate":"2013-06-13T21:22:59","indexId":"ofr20131067","displayToPublicDate":"2013-06-13T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1067","title":"2010 Joint United States-Canadian Program to explore the limits of the Extended Continental Shelf aboard U.S. Coast Guard Cutter Healy--Cruise HLY1002","docAbstract":"In August and September 2010, the U.S. Geological Survey, in cooperation with Natural Resources Canada, Geological Survey of Canada, conducted bathymetric and geophysical surveys in the Beaufort Sea and eastern Arctic Ocean aboard the U.S. Coast Guard Cutter Healy. The principal objective of this mission to the high Arctic was to acquire data in support of a delineation of the outer limits of the U.S. and Canadian Extended Continental Shelf in the Arctic Ocean, in accordance with the provisions of Article 76 of the United Nations Convention on the Law of the Sea.\n\nThe Healy was accompanied by the Canadian Coast Guard icebreaker Louis S. St-Laurent. The scientific parties on board the two vessels consisted principally of staff from the U.S. Geological Survey (Healy), and the Geological Survey of Canada and the Canadian Hydrographic Service (Louis). The crew also included marine-mammal observers, Native-community observers, ice observers, and biologists conducting research of opportunity in the Arctic Ocean.\n\nDespite interruptions necessitated by three medical emergencies, the joint survey proved largely successful. The Healy collected 7,201 trackline-kilometers of swath (multibeam) bathymetry (47,663 square kilometers) and CHIRP subbottom data, with accompanying marine gravity measurements, and expendable bathythermograph data. The Louis acquired 3,673 trackline-kilometers of multichannel seismic (airgun) deep-penetration reflection data along 25 continuous profiles, as well as 34 sonobuoy refraction stations and 9,500 trackline-kilometers of single-beam bathymetry. The coordinated efforts of the two vessels resulted in seismic-reflection-profile data that were of much higher quality and continuity than if the data had been acquired with a single vessel alone. The equipment-failure rate of the seismic equipment aboard the Louis was greatly reduced when the Healy led as the ice breaker. When ice conditions proved too severe to deploy the seismic system, the Louis led the Healy, resulting in much improved quality of the swath bathymetric and CHIRP subbottom data in comparison with data collected either by the Healy in the lead or the Healy working alone.\n\nDuring periods when the Healy was operating alone (principally when the Louis was diverted for emergency medical evacuations or ship repairs), the Healy was able to deploy a piston-core-sampler (10 meters maximum potential recovery depending on configuration). The coring operations resulted in recovery of cores at five locations ranging from 2.4 to 5.7 meters in length from water depths ranging from 1,157 to 3,700 meters. One of these cores sited on the Alaskan margin recovered the first reported occurrence of methane hydrate from the Arctic Ocean.\n\nAncillary science objectives, including ice observations and deployment of ice-monitoring buoys and water-column sampling to measure acidification of Arctic waters were successfully conducted. The water-column sampling included using 10 full-ocean-depth, water-sampling casts with accompanying conductivity-temperature-depth measurements.\n\nExcept for the data deemed proprietary, data from the cruise have been archived and are available for download at the National Geophysical Data Center and at cooperating organizations.\n\nOutreach staff and guest teachers aboard the two vessels provided near-real-time connection between the research activities and the public through online blogs, web pages, and other media.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131067","usgsCitation":"Edwards, B.D., Childs, J.R., Triezenberg, P., Danforth, W.W., and Gibbons, H., 2013, 2010 Joint United States-Canadian Program to explore the limits of the Extended Continental Shelf aboard U.S. Coast Guard Cutter Healy--Cruise HLY1002: U.S. Geological Survey Open-File Report 2013-1067, iv, 26 p.; 8 Appendixes; Figure 4, https://doi.org/10.3133/ofr20131067.","productDescription":"iv, 26 p.; 8 Appendixes; Figure 4","numberOfPages":"30","additionalOnlineFiles":"Y","temporalStart":"2010-08-02","temporalEnd":"2010-09-06","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":273689,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1067/"},{"id":273691,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1067/pdf/ofr20131067_appA.pdf"},{"id":273690,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1067/pdf/ofr20131067.pdf"},{"id":273692,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1067/pdf/ofr20131067_appB.pdf"},{"id":273693,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1067/pdf/ofr20131067_appC.pdf"},{"id":273694,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1067/pdf/ofr20131067_appD.pdf"},{"id":273695,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1067/pdf/ofr20131067_appE.pdf"},{"id":273696,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1067/pdf/ofr20131067_appF.pdf"},{"id":273697,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1067/pdf/ofr20131067_appG.pdf"},{"id":273698,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1067/pdf/ofr20131067_appH.pdf"},{"id":273699,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1067/pdf/ofr20131067_Fig4.pdf"},{"id":273700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131067.png"}],"country":"United States;Canada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -132.0,79.75 ], [ -132.0,80.75 ], [ -127.0,80.75 ], [ -127.0,79.75 ], [ -132.0,79.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4925e4b0b290850eeead","contributors":{"authors":[{"text":"Edwards, Brian D. bedwards@usgs.gov","contributorId":3161,"corporation":false,"usgs":true,"family":"Edwards","given":"Brian","email":"bedwards@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":479777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Childs, Jonathan R. jchilds@usgs.gov","contributorId":3155,"corporation":false,"usgs":true,"family":"Childs","given":"Jonathan","email":"jchilds@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":479776,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Triezenberg, Peter J.","contributorId":32625,"corporation":false,"usgs":true,"family":"Triezenberg","given":"Peter J.","affiliations":[],"preferred":false,"id":479779,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Danforth, William W. 0000-0002-6382-9487 bdanforth@usgs.gov","orcid":"https://orcid.org/0000-0002-6382-9487","contributorId":3292,"corporation":false,"usgs":true,"family":"Danforth","given":"William","email":"bdanforth@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":479778,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gibbons, Helen hgibbons@usgs.gov","contributorId":912,"corporation":false,"usgs":true,"family":"Gibbons","given":"Helen","email":"hgibbons@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":479775,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044589,"text":"70044589 - 2013 - Climate change winners: receding ice fields facilitate colony expansion and altered dynamics in an Adélie penguin metapopulation","interactions":[],"lastModifiedDate":"2013-06-13T13:54:25","indexId":"70044589","displayToPublicDate":"2013-06-13T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Climate change winners: receding ice fields facilitate colony expansion and altered dynamics in an Adélie penguin metapopulation","docAbstract":"There will be winners and losers as climate change alters the habitats of polar organisms. For an Adélie penguin (Pygoscelis adeliae) colony on Beaufort Island (Beaufort), part of a cluster of colonies in the southern Ross Sea, we report a recent population increase in response to increased nesting habitat as glaciers have receded. Emigration rates of birds banded as chicks on Beaufort to colonies on nearby Ross Island decreased after 2005 as available habitat on Beaufort increased, leading to altered dynamics of the metapopulation. Using aerial photography beginning in 1958 and modern satellite imagery, we measured change in area of available nesting habitat and population size of the Beaufort colony. Population size varied with available habitat, and both increased rapidly since the 1990s. In accord with glacial retreat, summer temperatures at nearby McMurdo Station increased by ~0.50°C per decade since the mid-1980s. Although the Ross Sea is likely to be the last ocean with an intact ecosystem, the recent retreat of ice fields at Beaufort that resulted in increased breeding habitat exemplifies a process that has been underway in the Ross Sea during the entire Holocene. Furthermore, our results are in line with predictions that major ice shelves and glaciers will retreat rapidly elsewhere in the Antarctic, potentially leading to increased breeding habitat for Adélie penguins. Results further indicated that satellite imagery may be used to estimate large changes in Adélie penguin populations, facilitating our understanding of metapopulation dynamics and environmental factors that influence regional populations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0060568","usgsCitation":"LaRue, M.A., Ainley, D.G., Swanson, M., Dugger, K.M., Lyber, P.O., Barton, K., and Ballard, G., 2013, Climate change winners: receding ice fields facilitate colony expansion and altered dynamics in an Adélie penguin metapopulation: PLoS ONE, v. 8, no. 4, e60568, https://doi.org/10.1371/journal.pone.0060568.","productDescription":"e60568","ipdsId":"IP-041218","costCenters":[{"id":517,"text":"Oregon Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473747,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0060568","text":"Publisher Index Page"},{"id":273687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273686,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0060568"}],"otherGeospatial":"Ross Sea;Beaufort Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -160.0,66.0 ], [ -160.0,90.0 ], [ 150.0,90.0 ], [ 150.0,66.0 ], [ -160.0,66.0 ] ] ] } } ] }","volume":"8","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-04-03","publicationStatus":"PW","scienceBaseUri":"51badc15e4b02914c2497f63","contributors":{"authors":[{"text":"LaRue, Michelle A.","contributorId":20634,"corporation":false,"usgs":true,"family":"LaRue","given":"Michelle","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":475920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ainley, David G.","contributorId":32039,"corporation":false,"usgs":false,"family":"Ainley","given":"David","email":"","middleInitial":"G.","affiliations":[{"id":34154,"text":"Point Reyes Bird Observatory, Stinson Beach, CA","active":true,"usgs":false}],"preferred":false,"id":475921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swanson, Matt","contributorId":37624,"corporation":false,"usgs":true,"family":"Swanson","given":"Matt","email":"","affiliations":[],"preferred":false,"id":475923,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugger, Katie M. 0000-0002-4148-246X","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":36037,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"","middleInitial":"M.","affiliations":[{"id":517,"text":"Oregon Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":475922,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lyber, Phil O’B.","contributorId":7594,"corporation":false,"usgs":true,"family":"Lyber","given":"Phil","email":"","middleInitial":"O’B.","affiliations":[],"preferred":false,"id":475919,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barton, Kerry","contributorId":65746,"corporation":false,"usgs":true,"family":"Barton","given":"Kerry","affiliations":[],"preferred":false,"id":475925,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ballard, Grant","contributorId":40499,"corporation":false,"usgs":true,"family":"Ballard","given":"Grant","affiliations":[],"preferred":false,"id":475924,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70044082,"text":"70044082 - 2013 - Interacting coastal based ecosystem services: recreation and water quality in Puget Sound, WA","interactions":[],"lastModifiedDate":"2013-06-12T15:39:57","indexId":"70044082","displayToPublicDate":"2013-06-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Interacting coastal based ecosystem services: recreation and water quality in Puget Sound, WA","docAbstract":"Coastal recreation and water quality are major contributors to human well-being in coastal regions. They can also interact, creating opportunities for ecosystem based management, ecological restoration, and water quality improvement that can positively affect people and the environment. Yet the effect of environmental quality on human behavior is often poorly quantified, but commonly assumed in coastal ecosystem service studies. To clarify this effect we investigate a water quality dataset for evidence that environmental condition partially explains variation in recreational visitation, our indicator of human behavior. In Puget Sound, WA, we investigate variation in visitation in both visitation rate and fixed effects (FE) models. The visitation rate model relates the differences in annual recreational visitation among parks to environmental conditions, park characteristics, travel cost, and recreational demand. In our FE model we control for all time-invariant unobserved variables and compare monthly variation at the park level to determine how water quality affects visitation during the summer season. The results of our first model illustrate how visitation relates to various amenities and costs. In the FE analysis, monthly visitation was negatively related to water quality while controlling for monthly visitation trends. This indicates people are responding to changes in water quality, and an improvement would yield an increase in the value of recreation. Together, these results could help in prioritizing water quality improvements, could assist the creation of new parks or the modification of existing recreational infrastructure, and provide quantitative estimates for the expected benefits from potential changes in recreational visitation and water quality improvements. Our results also provide an example of how recreational visitation can be quantified and used in ecosystem service assessments.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"Reston, VA","doi":"10.1371/journal.pone.0056670","usgsCitation":"Kreitler, J., Papenfus, M., Byrd, K., and Labiosa, W., 2013, Interacting coastal based ecosystem services: recreation and water quality in Puget Sound, WA: PLoS ONE, v. 8, no. 2, e56670, https://doi.org/10.1371/journal.pone.0056670.","productDescription":"e56670","ipdsId":"IP-030510","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":473751,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0056670","text":"Publisher Index Page"},{"id":273658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273657,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0056670"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.73,46.77 ], [ -124.73,49.23 ], [ -121.67,49.23 ], [ -121.67,46.77 ], [ -124.73,46.77 ] ] ] } } ] }","volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-02-22","publicationStatus":"PW","scienceBaseUri":"51b98a5de4b07b9df6070f2a","contributors":{"authors":[{"text":"Kreitler, Jason","contributorId":68205,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","affiliations":[],"preferred":false,"id":474797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Papenfus, Michael","contributorId":20636,"corporation":false,"usgs":true,"family":"Papenfus","given":"Michael","affiliations":[],"preferred":false,"id":474795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byrd, Kristin","contributorId":82053,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","affiliations":[],"preferred":false,"id":474798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Labiosa, William","contributorId":26421,"corporation":false,"usgs":true,"family":"Labiosa","given":"William","affiliations":[],"preferred":false,"id":474796,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046409,"text":"70046409 - 2013 - Colonization of steelhead in a natal stream after barrier removal","interactions":[],"lastModifiedDate":"2013-06-12T10:25:52","indexId":"70046409","displayToPublicDate":"2013-06-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Colonization of steelhead in a natal stream after barrier removal","docAbstract":"Colonization of vacant habitats is an important process for supporting the long-term persistence of populations and species. We used a before–after experimental design to follow the process of colonization by steelhead Oncorhynchus mykiss (anadromous Rainbow Trout) at six monitoring sites in a natal stream, Beaver Creek, after the modification or removal of numerous stream passage barriers. Juvenile O. mykiss were collected at monitoring sites by using a backpack electrofisher. Passive integrated transponder tags and instream tag reading stations were used in combination with 16 microsatellite markers to determine the source, extent, and success of migrant O. mykiss after implementation of the barrier removal projects. Steelhead migrated into the study area during the first spawning season after passage was established. Hatchery steelhead, although comprising more than 80% of the adult returns to the Methow River basin, constituted a small proportion (23%) of the adult O. mykiss colonizing the study area. Adult steelhead and fluvial Rainbow Trout entered the stream during the first spawning season after barrier removal and were passing the uppermost tag reader (12 km upstream from the mouth) 3–4 years later. Parr that were tagged in Beaver Creek returned as adults, indicating establishment of the anadromous life history in the study area. Population genetic measures at the lower two monitoring sites (lower 4 km of Beaver Creek) significantly changed within one generation (4–5 years). Colonization and expansion of steelhead occurred more slowly than expected due to the low number of adults migrating into the study area.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2013.788560","usgsCitation":"Weigel, D.E., Connolly, P., Martens, K.D., and Powell, M.S., 2013, Colonization of steelhead in a natal stream after barrier removal: Transactions of the American Fisheries Society, v. 142, no. 4, p. 920-930, https://doi.org/10.1080/00028487.2013.788560.","productDescription":"11 p.","startPage":"920","endPage":"930","ipdsId":"IP-037761","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":473750,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/00028487.2013.788560","text":"Publisher Index Page"},{"id":273635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273634,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2013.788560"}],"volume":"142","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-05-31","publicationStatus":"PW","scienceBaseUri":"51b98a5be4b07b9df6070f16","contributors":{"authors":[{"text":"Weigel, Dana E.","contributorId":79389,"corporation":false,"usgs":true,"family":"Weigel","given":"Dana","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":479632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":479629,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martens, Kyle D.","contributorId":12740,"corporation":false,"usgs":true,"family":"Martens","given":"Kyle","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":479630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powell, Madison S.","contributorId":33609,"corporation":false,"usgs":true,"family":"Powell","given":"Madison","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":479631,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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