The Landsat era that began in 1972 will continue into the future, since the February 2013 launch of the Landsat Data Continuity Mission (renamed Landsat 8 on May 30, 2013). The Landsat 8 satellite provides 16-bit high-quality land-surface data, with instruments advancing future measurement capabilities while ensuring compatibility with historical Landsat data. The Operational Land Imager sensor collects data in the visible, near infrared, and shortwave infrared wavelength regions as well as a panchromatic band. Two new spectral bands have been added: a deep-blue band for coastal water and aerosol studies (band 1), and a band for cirrus cloud detection (band 9). A Quality Assurance band is also included to indicate the presence of terrain shadowing, data artifacts, and clouds. The Thermal Infrared Sensor collects data in two long wavelength thermal infrared bands and has a 3-year design life.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133060","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2013, Landsat 8: U.S. Geological Survey Fact Sheet 2013-3060, 4 p., https://doi.org/10.3133/fs20133060.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":277290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133060.gif"},{"id":277288,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3060/"},{"id":277289,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3060/pdf/fs2013-3060.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5228485fe4b06291bed80394","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535585,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70047981,"text":"ofr20131170D - 2013 - Modeling for the SAFRR Tsunami Scenario-generation, propagation, inundation, and currents in ports and harbors: Chapter D in The SAFRR (Science Application for Risk Reduction) Tsunami Scenario","interactions":[],"lastModifiedDate":"2013-09-04T15:26:33","indexId":"ofr20131170D","displayToPublicDate":"2013-09-04T15:06:00","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":"2013-1170","chapter":"D","title":"Modeling for the SAFRR Tsunami Scenario-generation, propagation, inundation, and currents in ports and harbors: Chapter D in The SAFRR (Science Application for Risk Reduction) Tsunami Scenario","docAbstract":"This U.S. Geological Survey (USGS) Open-File report presents a compilation of tsunami modeling studies for the Science Application for Risk Reduction (SAFRR) tsunami scenario. These modeling studies are based on an earthquake source specified by the SAFRR tsunami source working group (Kirby and others, 2013). The modeling studies in this report are organized into three groups. The first group relates to tsunami generation. The effects that source discretization and horizontal displacement have on tsunami initial conditions are examined in section 1 (Whitmore and others). In section 2 (Ryan and others), dynamic earthquake rupture models are explored in modeling tsunami generation. These models calculate slip distribution and vertical displacement of the seafloor as a result of realistic fault friction, physical properties of rocks surrounding the fault, and dynamic stresses resolved on the fault. The second group of papers relates to tsunami propagation and inundation modeling. Section 3 (Thio) presents a modeling study for the entire California coast that includes runup and inundation modeling where there is significant exposure and estimates of maximum velocity and momentum flux at the shoreline. In section 4 (Borrero and others), modeling of tsunami propagation and high-resolution inundation of critical locations in southern California is performed using the National Oceanic and Atmospheric Administration’s (NOAA) Method of Splitting Tsunami (MOST) model and NOAA’s Community Model Interface for Tsunamis (ComMIT) modeling tool. Adjustments to the inundation line owing to fine-scale structures such as levees are described in section 5 (Wilson). The third group of papers relates to modeling of hydrodynamics in ports and harbors. Section 6 (Nicolsky and Suleimani) presents results of the model used at the Alaska Earthquake Information Center for the Ports of Los Angeles and Long Beach, as well as synthetic time series of the modeled tsunami for other selected locales in southern California. Importantly, section 6 provides a comparison of the effect of including horizontal displacements at the source described in section 1 and differences in bottom friction on wave heights and inundation in the Ports of Los Angeles and Long Beach. Modeling described in section 7 (Lynett and Son) uses a higher order physical model to determine variations of currents during the tsunami and complex flow structures such as jets and eddies. Section 7 also uses sediment transport models to estimate scour and deposition of sediment in ports and harbors—a significant effect that was observed in southern California following the 2011 Tohoku tsunami. Together, all of the sections in this report form the basis for damage, impact, and emergency preparedness aspects of the SAFRR tsunami scenario. Three sections of this report independently calculate wave height and inundation results using the source specified by Kirby and others (2013). Refer to figure 29 in section 3, figure 52 in section 4, and figure 62 in section 6. All of these results are relative to a mean high water (MHW) vertical datum. Slight differences in the results are observed in East Basin of the Port of Los Angeles, Alamitos Bay, and the Seal Beach National Wildlife Refuge. However, given that these three modeling efforts involved different implementations of the source, different numerical wave propagation and runup models, and slight differences in the digital elevation models (DEMs), the similarity among the results is remarkable.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The SAFRR (Science Application for Risk Reduction) Tsunami Scenario (Open File Report 2013-1170)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131170D","collaboration":"Chapter D in The SAFRR (Science Application for Risk Reduction) Tsunami Scenario. For more information, see: Open File Report 2013-1170.","usgsCitation":"SAFRR Tsunami Modeling Working Group, 2013, Modeling for the SAFRR Tsunami Scenario-generation, propagation, inundation, and currents in ports and harbors: Chapter D in The SAFRR (Science Application for Risk Reduction) Tsunami Scenario: U.S. Geological Survey Open-File Report 2013-1170, x, 136 p., https://doi.org/10.3133/ofr20131170D.","productDescription":"x, 136 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-046059","costCenters":[],"links":[{"id":438782,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X1MGE7","text":"USGS data release","linkHelpText":"Simulation and visualization of coastal tsunami impacts from the SAFRR tsunami source"},{"id":277291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131170d.gif"},{"id":277286,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1170/d/pdf/of2013-1170d.pdf"},{"id":277287,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1170/d/index.html"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.48,32.53 ], [ -124.48,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.48,32.53 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52284860e4b06291bed80398","contributors":{"authors":[{"text":"SAFRR Tsunami Modeling Working Group","contributorId":128010,"corporation":true,"usgs":false,"organization":"SAFRR Tsunami Modeling Working Group","id":535584,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70047980,"text":"fs20133065 - 2013 - Baseline assessment of physical characteristics, aquatic biota, and selected water-quality properties at the reach and mesohabitat scale for three stream reaches in the Big Cypress Basin, northeastern Texas, 2010-11","interactions":[],"lastModifiedDate":"2016-08-05T13:45:16","indexId":"fs20133065","displayToPublicDate":"2013-09-04T14:47:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3065","title":"Baseline assessment of physical characteristics, aquatic biota, and selected water-quality properties at the reach and mesohabitat scale for three stream reaches in the Big Cypress Basin, northeastern Texas, 2010-11","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Northeast Texas Municipal Water District and the Texas Commission on Environmental Quality, did a baseline assessment in 2010-11 of physical characteristics and selected aquatic biota (fish and mussels) collected at the mesohabitat scale for three stream reaches in the Big Cypress Basin in northeastern Texas for which environmental flows have been prescribed. Mesohabitats are visually distinct units of habitat within the stream with unique depth, velocity, slope, substrate, and cover. Mesohabitats in reaches of Big Cypress, Black Cypress, and Little Cypress Bayous were evaluated to gain an understanding of how fish communities and mussel populations varied by habitat. Selected water-quality properties were also measured in isolated pools in Black Cypress and Little Cypress. All of the data were collected in the context of the prescribed environmental flows. The information acquired during the study will support the long-term monitoring of biota in relation to the prescribed environmental flows.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133065","collaboration":"Prepared in cooperation with the Northeast Texas Municipal Water District and the Texas Commission on Environmental Quality","usgsCitation":"Braun, C.L., and Moring, J., 2013, Baseline assessment of physical characteristics, aquatic biota, and selected water-quality properties at the reach and mesohabitat scale for three stream reaches in the Big Cypress Basin, northeastern Texas, 2010-11: U.S. Geological Survey Fact Sheet 2013-3065, 4 p., https://doi.org/10.3133/fs20133065.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":277284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133065.gif"},{"id":277282,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3065/"},{"id":277283,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3065/pdf/FS2013-3065.pdf"}],"scale":"24000","projection":"Universal Transverse Mercator, zone 15","datum":"North American Datum of 1983","country":"United States","state":"Texas","otherGeospatial":"Big Cypress Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.573059,32.649204 ], [ -94.573059,32.833443 ], [ -94.198494,32.833443 ], [ -94.198494,32.649204 ], [ -94.573059,32.649204 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5228485fe4b06291bed80390","contributors":{"authors":[{"text":"Braun, Christopher L. 0000-0002-5540-2854 clbraun@usgs.gov","orcid":"https://orcid.org/0000-0002-5540-2854","contributorId":925,"corporation":false,"usgs":true,"family":"Braun","given":"Christopher","email":"clbraun@usgs.gov","middleInitial":"L.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moring, James B. jbmoring@usgs.gov","contributorId":1509,"corporation":false,"usgs":true,"family":"Moring","given":"James B.","email":"jbmoring@usgs.gov","affiliations":[],"preferred":false,"id":483493,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047973,"text":"ofr20131170B - 2013 - Alaska earthquake source for the SAFRR tsunami scenario: Chapter B in The SAFRR (Science Application for Risk Reduction) Tsunami Scenario","interactions":[],"lastModifiedDate":"2018-01-08T12:46:27","indexId":"ofr20131170B","displayToPublicDate":"2013-09-04T13:42:00","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":"2013-1170","chapter":"B","title":"Alaska earthquake source for the SAFRR tsunami scenario: Chapter B in The SAFRR (Science Application for Risk Reduction) Tsunami Scenario","docAbstract":"Tsunami modeling has shown that tsunami sources located along the Alaska Peninsula segment of the Aleutian-Alaska subduction zone have the greatest impacts on southern California shorelines by raising the highest tsunami waves for a given source seismic moment. The most probable sector for a Mw ~ 9 source within this subduction segment is between Kodiak Island and the Shumagin Islands in what we call the Semidi subduction sector; these bounds represent the southwestern limit of the 1964 Mw 9.2 Alaska earthquake rupture and the northeastern edge of the Shumagin sector that recent Global Positioning System (GPS) observations indicate is currently creeping. Geological and geophysical features in the Semidi sector that are thought to be relevant to the potential for large magnitude, long-rupture-runout interplate thrust earthquakes are remarkably similar to those in northeastern Japan, where the destructive Mw 9.1 tsunamigenic earthquake of 11 March 2011 occurred. In this report we propose and justify the selection of a tsunami source seaward of the Alaska Peninsula for use in the Tsunami Scenario that is part of the U.S. Geological Survey (USGS) Science Application for Risk Reduction (SAFRR) Project. This tsunami source should have the potential to raise damaging tsunami waves on the California coast, especially at the ports of Los Angeles and Long Beach. Accordingly, we have summarized and abstracted slip distribution from the source literature on the 2011 event, the best characterized for any subduction earthquake, and applied this synoptic slip distribution to the similar megathrust geometry of the Semidi sector. The resulting slip model has an average slip of 18.6 m and a moment magnitude of Mw = 9.1. The 2011 Tohoku earthquake was not anticipated, despite Japan having the best seismic and geodetic networks in the world and the best historical record in the world over the past 1,500 years. What was lacking was adequate paleogeologic data on prehistoric earthquakes and tsunamis, a data gap that also presently applies to the Alaska Peninsula and the Aleutian Islands. Quantitative appraisal of potential tsunami sources in Alaska requires such investigations.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The SAFRR (Science Application for Risk Reduction) Tsunami Scenario (Open File Report 2013-1170)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131170B","collaboration":"This report is Chapter B in The SAFRR (Science Application for Risk Reduction) Tsunami Scenario. For more information, see: Open File Report 2013-1170.","usgsCitation":"Kirby, S., Scholl, D., von Huene, R.E., and Wells, R., 2013, Alaska earthquake source for the SAFRR tsunami scenario: Chapter B in The SAFRR (Science Application for Risk Reduction) Tsunami Scenario: U.S. Geological Survey Open-File Report 2013-1170, Report: vi, 40 p.; Table 3: Excel file; Appendix A: Excel file, https://doi.org/10.3133/ofr20131170B.","productDescription":"Report: vi, 40 p.; Table 3: Excel file; Appendix A: Excel file","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":277278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131170b.gif"},{"id":277276,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1170/b/index.html"},{"id":277277,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1170/b/pdf/of2013-1170b_text.pdf"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -168.93,51.32 ], [ -168.93,58.33 ], [ -155.04,58.33 ], [ -155.04,51.32 ], [ -168.93,51.32 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52284852e4b06291bed8038c","contributors":{"authors":[{"text":"Kirby, Stephen","contributorId":89412,"corporation":false,"usgs":true,"family":"Kirby","given":"Stephen","affiliations":[],"preferred":false,"id":483481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scholl, David","contributorId":81400,"corporation":false,"usgs":true,"family":"Scholl","given":"David","affiliations":[],"preferred":false,"id":483480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"von Huene, Roland E. 0000-0003-1301-3866 rvonhuene@usgs.gov","orcid":"https://orcid.org/0000-0003-1301-3866","contributorId":191070,"corporation":false,"usgs":true,"family":"von Huene","given":"Roland","email":"rvonhuene@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":483478,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wells, Ray 0000-0002-7796-0160","orcid":"https://orcid.org/0000-0002-7796-0160","contributorId":71260,"corporation":false,"usgs":true,"family":"Wells","given":"Ray","affiliations":[],"preferred":false,"id":483479,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70047971,"text":"sir20135157 - 2013 - Synthesis and interpretation of surface-water quality and aquatic biota data collected in Shenandoah National Park, Virginia, 1979-2009","interactions":[],"lastModifiedDate":"2024-03-04T19:42:48.919003","indexId":"sir20135157","displayToPublicDate":"2013-09-04T13:33:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5157","title":"Synthesis and interpretation of surface-water quality and aquatic biota data collected in Shenandoah National Park, Virginia, 1979-2009","docAbstract":"Shenandoah National Park in northern and central Virginia protects 777 square kilometers of mountain terrain in the Blue Ridge physiographic province and more than 90 streams containing diverse aquatic biota. Park managers and visitors are interested in the water quality of park streams and its ability to support healthy coldwater communities and species, such as the native brook trout (Salvelinus fontinalis), that are at risk in the eastern United States. Despite protection from local stressors, however, the water quality of streams in the park is at risk from many regional stressors, including atmospheric pollution, decline in the health of the surrounding forests because of invasive forest pests, and global climate change. In 2010, the U.S. Geological Survey, in cooperation with the National Park Service, undertook a study to compile, analyze, and synthesize available data on water quality, aquatic macroinvertebrates, and fish within Shenandoah National Park. Specifically, the effort focused on creating a comprehensive water-resources database for the park that can be used to evaluate temporal trends and spatial patterns in the available data, and characterizing those data to better understand interrelations among water quality, aquatic macroinvertebrates, fish, and the landscape.
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2013 - SAFRR (Science Application for Risk Reduction) Tsunami Scenario--Executive Summary and Introduction: Chapter A in The SAFRR (Science Application for Risk Reduction) Tsunami Scenario","interactions":[],"lastModifiedDate":"2013-09-04T13:31:45","indexId":"ofr20131170A","displayToPublicDate":"2013-09-04T12:01:00","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":"2013-1170","chapter":"A","title":"SAFRR (Science Application for Risk Reduction) Tsunami Scenario--Executive Summary and Introduction: Chapter A in The SAFRR (Science Application for Risk Reduction) Tsunami Scenario","docAbstract":"The Science Application for Risk Reduction (SAFRR) tsunami scenario depicts a hypothetical but plausible tsunami created by an earthquake offshore from the Alaska Peninsula and its impacts on the California coast. 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scperry@usgs.gov","orcid":"https://orcid.org/0000-0002-6370-4326","contributorId":5227,"corporation":false,"usgs":true,"family":"Perry","given":"Suzanne","email":"scperry@usgs.gov","middleInitial":"C.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":483421,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Plumlee, Geoffrey S. 0000-0002-9607-5626 gplumlee@usgs.gov","orcid":"https://orcid.org/0000-0002-9607-5626","contributorId":960,"corporation":false,"usgs":true,"family":"Plumlee","given":"Geoffrey","email":"gplumlee@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":483414,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Real, Charles 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V.","contributorId":67312,"corporation":false,"usgs":true,"family":"Titov","given":"Vasily","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":483430,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Whitmore, Paul M.","contributorId":93437,"corporation":false,"usgs":true,"family":"Whitmore","given":"Paul","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":483438,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":483420,"contributorType":{"id":1,"text":"Authors"},"rank":28}]}} ,{"id":70047961,"text":"ofr20131232 - 2013 - Using broad landscape level features to predict redd densities of steelhead trout (Oncorhynchus mykiss) and Chinook Salmon (Oncorhynchus tshawytscha) in the Methow River watershed, Washington","interactions":[],"lastModifiedDate":"2023-07-25T13:05:14.419686","indexId":"ofr20131232","displayToPublicDate":"2013-09-04T06:35:00","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":"2013-1232","title":"Using broad landscape level features to predict redd densities of steelhead trout (Oncorhynchus mykiss) and Chinook Salmon (Oncorhynchus tshawytscha) in the Methow River watershed, Washington","docAbstract":"We used broad-scale landscape feature variables to model redd densities of spring Chinook salmon (Oncorhynchus tshawytscha) and steelhead trout (Oncorhynchus mykiss) in the Methow River watershed. Redd densities were estimated from redd counts conducted from 2005 to 2007 and 2009 for steelhead trout and 2005 to 2009 for spring Chinook salmon. These densities were modeled using generalized linear mixed models. Variables examined included primary and secondary geology type, habitat type, flow type, sinuosity, and slope of stream channel. In addition, we included spring effect and hatchery effect variables to account for high densities of redds near known springs and hatchery outflows. Variables were associated with National Hydrography Database reach designations for modeling redd densities within each reach. Reaches were assigned a dominant habitat type, geology, mean slope, and sinuosity. The best fit model for spring Chinook salmon included sinuosity, critical slope, habitat type, flow type, and hatchery effect. Flow type, slope, and habitat type variables accounted for most of the variation in the data. The best fit model for steelhead trout included year, habitat type, flow type, hatchery effect, and spring effect. The spring effect, flow type, and hatchery effect variables explained most of the variation in the data. Our models illustrate how broad-scale landscape features may be used to predict spawning habitat over large areas where fine-scale data may be lacking.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131232","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Romine, J.G., Perry, R.W., and Connolly, P., 2013, Using broad landscape level features to predict redd densities of steelhead trout (Oncorhynchus mykiss) and Chinook Salmon (Oncorhynchus tshawytscha) in the Methow River watershed, Washington: U.S. Geological Survey Open-File Report 2013-1232, iv, 22 p., https://doi.org/10.3133/ofr20131232.","productDescription":"iv, 22 p.","numberOfPages":"30","onlineOnly":"Y","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":277258,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131232.png"},{"id":277256,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1232/","linkFileType":{"id":5,"text":"html"}},{"id":277257,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1232/pdf/ofr20131232.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Washington","otherGeospatial":"Methow River Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.833333,\n 48.833333\n ],\n [\n -120.833333,\n 48\n ],\n [\n -120,\n 48\n ],\n [\n -120,\n 48.833333\n ],\n [\n -120.833333,\n 48.833333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52284863e4b06291bed803b4","contributors":{"authors":[{"text":"Romine, Jason G. 0000-0002-6938-1185 jromine@usgs.gov","orcid":"https://orcid.org/0000-0002-6938-1185","contributorId":2823,"corporation":false,"usgs":true,"family":"Romine","given":"Jason","email":"jromine@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":483411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":483410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":483412,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048398,"text":"70048398 - 2013 - Estimating ecosystem carbon stocks at Redwood National and State Parks","interactions":[],"lastModifiedDate":"2018-03-21T14:39:11","indexId":"70048398","displayToPublicDate":"2013-09-03T15:14:45","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3014,"text":"Park Science","active":true,"publicationSubtype":{"id":10}},"title":"Estimating ecosystem carbon stocks at Redwood National and State Parks","docAbstract":"Accounting for ecosystem carbon is increasingly important for park managers. In this case study we present our efforts to estimate carbon stocks and the effects of management on carbon stocks for Redwood National and State Parks in northern California. Using currently available information, we estimate that on average these parks’ soils contain approximately 89 tons of carbon per acre (200 Mg C per ha), while vegetation contains about 130 tons C per acre (300 Mg C per ha). estoration activities at the parks (logging-road removal, second-growth forest management) were shown to initially reduce ecosystem carbon, but may provide for enhanced ecosystem carbon storage over the long term. We highlight currently available tools that could be used to estimate ecosystem carbon at other units of the National Park System.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Park Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Park Service","usgsCitation":"van Mantgem, P.J., Madej, M.A., Seney, J., and Deshais, J., 2013, Estimating ecosystem carbon stocks at Redwood National and State Parks: Park Science, v. 30, no. 1, p. 20-26.","productDescription":"7 p.","startPage":"20","endPage":"26","ipdsId":"IP-042748","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":279203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279201,"type":{"id":11,"text":"Document"},"url":"https://www.nature.nps.gov/parkscience/Archive/PDF/Article_PDFs/ParkScience30(1)Summer2013_1_20-26_van_Mantgem_et_al_3643.pdf"},{"id":279200,"type":{"id":15,"text":"Index Page"},"url":"https://www.nature.nps.gov/parkscience/index.cfm?ArticleID=626"}],"country":"United States","state":"California","otherGeospatial":"Humboldt Redwoods State Park;Redwood National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.259491,41.062786 ], [ -124.259491,41.870583 ], [ -123.813171,41.870583 ], [ -123.813171,41.062786 ], [ -124.259491,41.062786 ] ] ] } } ] }","volume":"30","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528c96ade4b0c629af44dda8","contributors":{"authors":[{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422 pvanmantgem@usgs.gov","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":2838,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip","email":"pvanmantgem@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":484521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madej, Mary Ann 0000-0003-2831-3773 mary_ann_madej@usgs.gov","orcid":"https://orcid.org/0000-0003-2831-3773","contributorId":40304,"corporation":false,"usgs":true,"family":"Madej","given":"Mary","email":"mary_ann_madej@usgs.gov","middleInitial":"Ann","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":484522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seney, Joseph","contributorId":53265,"corporation":false,"usgs":true,"family":"Seney","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":484523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deshais, Janelle","contributorId":108386,"corporation":false,"usgs":true,"family":"Deshais","given":"Janelle","email":"","affiliations":[],"preferred":false,"id":484524,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70118332,"text":"70118332 - 2013 - Mobile laser scanning applied to the earth sciences","interactions":[],"lastModifiedDate":"2014-07-29T14:15:51","indexId":"70118332","displayToPublicDate":"2013-09-03T14:06:40","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"Mobile laser scanning applied to the earth sciences","docAbstract":"Lidar (light detection and ranging), a method by which the precise time of flight of emitted pulses of laser energy is measured and converted to distance for reflective targets, has helped scientists make topographic maps of Earth's surface at scales as fine as centimeters. These maps have allowed the discovery and analysis of myriad otherwise unstudied features, such as fault scarps, river channels, and even ancient ruins [Glennie et al., 2013b].","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Eos, Transactions American Geophysical Union","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013EO360002","usgsCitation":"Brooks, B.A., Glennie, C., Hudnut, K.W., Ericksen, T., and Hauser, D., 2013, Mobile laser scanning applied to the earth sciences: Eos, Transactions, American Geophysical Union, v. 94, no. 36, p. 313-315, https://doi.org/10.1002/2013EO360002.","productDescription":"2 p.","startPage":"313","endPage":"315","numberOfPages":"2","ipdsId":"IP-045909","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":473554,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013eo360002","text":"Publisher Index Page"},{"id":291341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291340,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013EO360002"}],"volume":"94","issue":"36","noUsgsAuthors":false,"publicationDate":"2013-09-03","publicationStatus":"PW","scienceBaseUri":"57f7f252e4b0bc0bec0a02f7","contributors":{"authors":[{"text":"Brooks, Benjamin A. 0000-0001-7954-6281 bbrooks@usgs.gov","orcid":"https://orcid.org/0000-0001-7954-6281","contributorId":5237,"corporation":false,"usgs":true,"family":"Brooks","given":"Benjamin","email":"bbrooks@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":496768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glennie, Craig","contributorId":100761,"corporation":false,"usgs":false,"family":"Glennie","given":"Craig","email":"","affiliations":[],"preferred":false,"id":496771,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hudnut, Kenneth W. 0000-0002-3168-4797 hudnut@usgs.gov","orcid":"https://orcid.org/0000-0002-3168-4797","contributorId":2550,"corporation":false,"usgs":true,"family":"Hudnut","given":"Kenneth","email":"hudnut@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":496767,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ericksen, Todd","contributorId":25484,"corporation":false,"usgs":true,"family":"Ericksen","given":"Todd","affiliations":[],"preferred":false,"id":496769,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hauser, Darren","contributorId":34061,"corporation":false,"usgs":true,"family":"Hauser","given":"Darren","affiliations":[],"preferred":false,"id":496770,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70047952,"text":"70047952 - 2013 - Morphological distinctiveness of Javan Tupaia hypochrysa (Scandentia, Tupaiidae)","interactions":[],"lastModifiedDate":"2013-09-03T13:34:02","indexId":"70047952","displayToPublicDate":"2013-09-03T13:17:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Morphological distinctiveness of Javan Tupaia hypochrysa (Scandentia, Tupaiidae)","docAbstract":"The common treeshrew, Tupaia glis, represents a species complex with a complicated taxonomic history. It is distributed mostly south of the Isthmus of Kra on the Malay Peninsula and surrounding islands. In our recent revision of a portion of this species complex, we did not fully assess the population from Java (T. “glis” hypochrysa) because of our limited sample. Herein, we revisit this taxon using multivariate analyses in comparisons with T. glis, T. chrysogaster of the Mentawai Islands, and T. ferruginea from Sumatra. Analyses of both the manus and skull of Javan T. “glis” hypochrysa show it to be most similar to T. chrysogaster and distinct from both T. glis and T. ferruginea. Yet, the Javan population and T. chrysogaster have different mammae counts, supporting recognition of T. hypochrysa as a distinct species. The change in taxonomic status of T. hypochrysa has conservation implications for both T. glis and this Javan endemic.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Mammalogy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Mammalogists","doi":"10.1644/13-MAMM-A-042.1","usgsCitation":"Sargis, E.J., Woodman, N., Morningstar, N.C., Reese, A.T., and Olson, L., 2013, Morphological distinctiveness of Javan Tupaia hypochrysa (Scandentia, Tupaiidae): Journal of Mammalogy, v. 94, no. 4, p. 938-947, https://doi.org/10.1644/13-MAMM-A-042.1.","productDescription":"11 p.","startPage":"938","endPage":"947","numberOfPages":"11","ipdsId":"IP-044697","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":488168,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1644/13-mamm-a-042.1","text":"Publisher Index Page"},{"id":277252,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277246,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1644/13-MAMM-A-042.1"},{"id":277247,"type":{"id":15,"text":"Index Page"},"url":"https://www.bioone.org/doi/abs/10.1644/13-MAMM-A-042.1"}],"country":"Malaysia;Indonesia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 95.25,-10.23 ], [ 95.25,9.71 ], [ 114.39,9.71 ], [ 114.39,-10.23 ], [ 95.25,-10.23 ] ] ] } } ] }","volume":"94","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5226f6e0e4b01904cf5a814b","contributors":{"authors":[{"text":"Sargis, Eric J.","contributorId":100726,"corporation":false,"usgs":true,"family":"Sargis","given":"Eric","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":483392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":483388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morningstar, Natalie C.","contributorId":31293,"corporation":false,"usgs":true,"family":"Morningstar","given":"Natalie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":483390,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reese, Aspen T.","contributorId":23826,"corporation":false,"usgs":true,"family":"Reese","given":"Aspen","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":483389,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olson, Link E.","contributorId":60927,"corporation":false,"usgs":true,"family":"Olson","given":"Link E.","affiliations":[],"preferred":false,"id":483391,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70047951,"text":"70047951 - 2013 - Golden eagle population trends in the western United States: 1968-2010","interactions":[],"lastModifiedDate":"2013-09-03T13:23:40","indexId":"70047951","displayToPublicDate":"2013-09-03T13:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Golden eagle population trends in the western United States: 1968-2010","docAbstract":"In 2009, the United States Fish and Wildlife Service promulgated permit regulations for the unintentional lethal take (anthropogenic mortality) and disturbance of golden eagles (Aquila chrysaetos). Accurate population trend and size information for golden eagles are needed so agency biologists can make informed decisions when eagle take permits are requested. To address this need with available data, we used a log-linear hierarchical model to average data from a late-summer aerial-line-transect distance-sampling survey (WGES) of golden eagles in the United States portions of Bird Conservation Region (BCR) 9 (Great Basin), BCR 10 (Northern Rockies), BCR 16 (Southern Rockies/Colorado Plateau), and BCR 17 (Badlands and Prairies) from 2006 to 2010 with late-spring, early summer Breeding Bird Survey (BBS) data for the same BCRs and years to estimate summer golden eagle population size and trends in these BCRs. We used the ratio of the density estimates from the WGES to the BBS index to calculate a BCR-specific adjustment factor that scaled the BBS index (i.e., birds per route) to a density estimate. Our results indicated golden eagle populations were generally stable from 2006 to 2010 in the 4 BCRs, with an estimated average rate of population change of −0.41% (95% credible interval [CI]: −4.17% to 3.40%) per year. For the 4 BCRs and years, we estimated annual golden eagle population size to range from 28,220 (95% CI: 23,250–35,110) in 2007 to 26,490 (95% CI: 21,760–32,680) in 2008. We found a general correspondence in trends between WGES and BBS data for these 4 BCRs, which suggested BBS data were providing useful trend information. We used the overall adjustment factor calculated from the 4 BCRs and years to scale BBS golden eagle counts from 1968 to 2005 for the 4 BCRs and for 1968 to 2010 for the 8 other BCRs (without WGES data) to estimate golden eagle population size and trends across the western United States for the period 1968 to 2010. In general, we noted slightly declining trends in southern BCRs and slightly increasing trends in northern BCRs. However, we estimated the average rate of golden eagle population change across all 12 BCRs for the period 1968–2010 as +0.40% per year (95% CI = −0.27% to 1.00%), suggesting a stable population. We also estimated the average rate of population change for the period 1990–2010 was +0.5% per year (95% CI = −0.33% to 1.3%). Our annual estimates of population size for the most recent decade range from 31,370 (95% CI: 25,450–39,310) in 2004 to 33,460 (95% CI: 27,380–41,710) in 2007. Our results clarify that golden eagles are not declining widely in the western United States. © 2013 The Wildlife Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jwmg.588","usgsCitation":"Millsap, B.A., Zimmerman, G.S., Sauer, J., Nielson, R.M., Otto, M., Bjerre, E., and Murphy, R.K., 2013, Golden eagle population trends in the western United States: 1968-2010: Journal of Wildlife Management, v. 77, no. 7, p. 1436-1448, https://doi.org/10.1002/jwmg.588.","productDescription":"13 p.","startPage":"1436","endPage":"1448","numberOfPages":"13","temporalStart":"1968-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-042830","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":277245,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.588"},{"id":277251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona;California;Colorado;Idaho;Iowa;Kansas;Minnesota;Montana;Nebraska;Nevada;New Mexico;North Dakota;Oklahoma;Oregon;South Dakota;Texas;Utah;Washington;Wyoming","otherGeospatial":"Badlands And Prairies;Chihuahuan Desert;Coastal California;Great Basin;Northern Pacific Rainforest;Northern Rockies;Prairie Potholes;Shortgrass Prairie;Sierra Madre Occidental;Sierra Nevada;Sonoran And Mojave Deserts;Southern Rockies/colorado Plateau","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,25.95 ], [ -124.8,49.03 ], [ -93.25,49.03 ], [ -93.25,25.95 ], [ -124.8,25.95 ] ] ] } } ] }","volume":"77","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5226f6dfe4b01904cf5a8147","contributors":{"authors":[{"text":"Millsap, Brian A.","contributorId":75841,"corporation":false,"usgs":true,"family":"Millsap","given":"Brian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":483386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zimmerman, Guthrie S.","contributorId":42473,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Guthrie","email":"","middleInitial":"S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":483383,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sauer, John R. jrsauer@usgs.gov","contributorId":3737,"corporation":false,"usgs":true,"family":"Sauer","given":"John R.","email":"jrsauer@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":483381,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nielson, Ryan M.","contributorId":78971,"corporation":false,"usgs":false,"family":"Nielson","given":"Ryan","email":"","middleInitial":"M.","affiliations":[{"id":6660,"text":"Western EcoSystems Technology, Inc","active":true,"usgs":false}],"preferred":false,"id":483387,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Otto, Mark","contributorId":33611,"corporation":false,"usgs":true,"family":"Otto","given":"Mark","affiliations":[],"preferred":false,"id":483382,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bjerre, Emily","contributorId":44451,"corporation":false,"usgs":true,"family":"Bjerre","given":"Emily","affiliations":[],"preferred":false,"id":483384,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Murphy, Robert K.","contributorId":67643,"corporation":false,"usgs":false,"family":"Murphy","given":"Robert","email":"","middleInitial":"K.","affiliations":[{"id":56253,"text":"Eagle Environmental, Inc","active":true,"usgs":false}],"preferred":false,"id":483385,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70047953,"text":"70047953 - 2013 - The impact of sea-level rise on organic matter decay rates in Chesapeake Bay brackish tidal marshes","interactions":[],"lastModifiedDate":"2013-10-30T12:45:22","indexId":"70047953","displayToPublicDate":"2013-09-03T13:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"The impact of sea-level rise on organic matter decay rates in Chesapeake Bay brackish tidal marshes","docAbstract":"The balance between organic matter production and decay determines how fast coastal wetlands accumulate soil organic matter. Despite the importance of soil organic matter accumulation rates in influencing marsh elevation and resistance to sea-level rise, relatively little is known about how decomposition rates will respond to sea-level rise. Here, we estimate the sensitivity of decomposition to flooding by measuring rates of decay in 87 bags filled with milled sedge peat, including soil organic matter, roots and rhizomes. Experiments were located in field-based mesocosms along 3 mesohaline tributaries of the Chesapeake Bay. Mesocosm elevations were manipulated to influence the duration of tidal inundation. Although we found no significant influence of inundation on decay rate when bags from all study sites were analyzed together, decay rates at two of the sites increased with greater flooding. These findings suggest that flooding may enhance organic matter decay rates even in water-logged soils, but that the overall influence of flooding is minor. Our experiments suggest that sea-level rise will not accelerate rates of peat accumulation by slowing the rate of soil organic matter decay. Consequently, marshes will require enhanced organic matter productivity or mineral sediment deposition to survive accelerating sea-level rise.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Biogeosciences","doi":"10.5194/bg-10-1869-2013","usgsCitation":"Kirwanm, M., Langley, J., Guntenspergen, G.R., and Megonigal, J., 2013, The impact of sea-level rise on organic matter decay rates in Chesapeake Bay brackish tidal marshes: Biogeosciences, v. 10, p. 1869-1876, https://doi.org/10.5194/bg-10-1869-2013.","productDescription":"8 p.","startPage":"1869","endPage":"1876","numberOfPages":"8","ipdsId":"IP-043951","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473555,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-10-1869-2013","text":"Publisher Index Page"},{"id":277250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277248,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/bg-10-1869-2013"},{"id":277249,"type":{"id":15,"text":"Index Page"},"url":"https://www.biogeosciences.net/10/1869/2013/bg-10-1869-2013.html"}],"country":"United States","state":"Maryl","otherGeospatial":"Chesapeake Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.614329,38.959568 ], [ -76.614329,39.088294 ], [ -76.450464,39.088294 ], [ -76.450464,38.959568 ], [ -76.614329,38.959568 ] ] ] } } ] }","volume":"10","noUsgsAuthors":false,"publicationDate":"2013-03-19","publicationStatus":"PW","scienceBaseUri":"5226f6e1e4b01904cf5a8157","contributors":{"authors":[{"text":"Kirwanm, M.L.","contributorId":94581,"corporation":false,"usgs":true,"family":"Kirwanm","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":483396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langley, J.A.","contributorId":89246,"corporation":false,"usgs":true,"family":"Langley","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":483395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guntenspergen, Gleen R.","contributorId":71867,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Gleen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":483394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Megonigal, J.P.","contributorId":22545,"corporation":false,"usgs":true,"family":"Megonigal","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":483393,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70047949,"text":"70047949 - 2013 - Remote detection of magmatic water in Bullialdus crater on the Moon","interactions":[],"lastModifiedDate":"2013-09-03T12:58:14","indexId":"70047949","displayToPublicDate":"2013-09-03T12:54:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Remote detection of magmatic water in Bullialdus crater on the Moon","docAbstract":"Once considered dry compared with Earth, laboratory analyses of igneous components of lunar samples have suggested that the Moon’s interior is not entirely anhydrous. Water and hydroxyl have also been detected from orbit on the lunar surface, but these have been attributed to nonindigenous sources, such as interactions with the solar wind. Magmatic lunar volatiles—evidence for water indigenous to the lunar interior—have not previously been detected remotely. Here we analyse spectroscopic data from the Moon Mineralogy Mapper (M3) and report that the central peak of Bullialdus Crater is significantly enhanced in hydroxyl relative to its surroundings. We suggest that the strong and localized hydroxyl absorption features are inconsistent with a surficial origin. Instead, they are consistent with hydroxyl bound to magmatic minerals that were excavated from depth by the impact that formed Bullialdus Crater. Furthermore, estimates of thorium concentration in the central peak using data from the Lunar Prospector orbiter indicate an enhancement in incompatible elements, in contrast to the compositions of water-bearing lunar samples. We suggest that the hydroxyl-bearing material was excavated from a magmatic source that is distinct from that of samples analysed thus far.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature Geoscience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nature","doi":"10.1038/NGEO1909","usgsCitation":"Klima, R.L., Cahill, J., Hagerty, J., and Lawrence, D., 2013, Remote detection of magmatic water in Bullialdus crater on the Moon: Nature Geoscience, v. 6, no. 9, p. 737-741, https://doi.org/10.1038/NGEO1909.","productDescription":"5 p.","startPage":"737","endPage":"741","numberOfPages":"5","ipdsId":"IP-039858","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":277244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277240,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/NGEO1909"}],"otherGeospatial":"Bullialdus Crater;Moon","volume":"6","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-08-25","publicationStatus":"PW","scienceBaseUri":"5226f6e0e4b01904cf5a814f","contributors":{"authors":[{"text":"Klima, Rachel L.","contributorId":18666,"corporation":false,"usgs":false,"family":"Klima","given":"Rachel","email":"","middleInitial":"L.","affiliations":[{"id":7166,"text":"Johns Hopkins University Applied Physics Laboratory","active":true,"usgs":false}],"preferred":false,"id":483372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cahill, John","contributorId":28516,"corporation":false,"usgs":true,"family":"Cahill","given":"John","email":"","affiliations":[],"preferred":false,"id":483373,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hagerty, Justin 0000-0003-3800-7948 jhagerty@usgs.gov","orcid":"https://orcid.org/0000-0003-3800-7948","contributorId":911,"corporation":false,"usgs":true,"family":"Hagerty","given":"Justin","email":"jhagerty@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":483371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawrence, David","contributorId":59333,"corporation":false,"usgs":true,"family":"Lawrence","given":"David","affiliations":[],"preferred":false,"id":483374,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70046809,"text":"70046809 - 2013 - Vegetation inventory, mapping, and classification report, Fort Bowie National Historic Site","interactions":[],"lastModifiedDate":"2020-01-29T08:49:05","indexId":"70046809","displayToPublicDate":"2013-09-03T12:34:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SODN/NRR—2013/673","title":"Vegetation inventory, mapping, and classification report, Fort Bowie National Historic Site","docAbstract":"A vegetation mapping and characterization effort was conducted at Fort Bowie National Historic Site in 2008-10 by the Sonoran Desert Network office in collaboration with researchers from the Office of Arid lands studies, Remote Sensing Center at the University of Arizona. This vegetation mapping effort was completed under the National Park Service Vegetation Inventory program which aims to complete baseline mapping inventories at over 270 national park units. The vegetation map data was collected to provide park managers with a digital map product that met national standards of spatial and thematic accuracy, while also placing the vegetation into a regional and even national context. Work comprised of three major field phases 1) concurrent field-based classification data collection and mapping (map unit delineation), 2) development of vegetation community types at the National Vegetation Classification alliance or association level and 3) map accuracy assessment. Phase 1 was completed in late 2008 and early 2009. Community type descriptions were drafted to meet the then-current hierarchy (version 1) of the National Vegetation Classification System (NVCS) and these were applied to each of the mapped areas. This classification was developed from both plot level data and censused polygon data (map units) as this project was conducted as a concurrent mapping and classification effort. The third stage of accuracy assessment completed in the fall of 2010 consisted of a complete census of each map unit and was conducted almost entirely by park staff. Following accuracy assessment the map was amended where needed and final products were developed including this report, a digital map and full vegetation descriptions. Fort Bowie National Historic Site covers only 1000 acres yet has a relatively complex landscape, topography and geology. A total of 16 distinct communities were described and mapped at Fort Bowie NHS. These ranged from lush riparian woodlands lining the ephemeral washes dominated by Ash (Fraxinus), Walnut (Juglans) and Hackberry (Celtis) to drier upland sites typical of desert scrub and semi-desert grassland communities. These shrublands boast a diverse mixture of shrubs, succulents and perennial grasses. In many places the vegetation could be seen to echo the history of the fort site, with management of shrub encroachment apparent in the grasslands and the paucity of trees evidence of historic cutting for timber and fire wood. Seven of the 16 vegetation types were ‘accepted’ types within the NVC while the others have been described here as specific to FOBO and have proposed status within the NVC. The map was designed to facilitate ecologically-based natural resources management and research. The map is in digital format within a geodatabase structure that allows for complex relationships to be established between spatial and tabular data, and makes accessing the product easy and seamless. The GIS format allows user flexibility and will also enable updates to be made as new information becomes available (such as revised NVC codes or vegetation type names) or in the event of major disturbance events that could impact the vegetation.","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Studd, S., Fallon, E., Crumbacher, L., Drake, S., and Villarreal, M.L., 2013, Vegetation inventory, mapping, and classification report, Fort Bowie National Historic Site: Natural Resource Report NPS/SODN/NRR—2013/673, xi, 93 p.","productDescription":"xi, 93 p.","numberOfPages":"122","ipdsId":"IP-043893","costCenters":[],"links":[{"id":277243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274694,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2195865","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona","otherGeospatial":"Fort Bowie National Historic Site","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.4833,32.141136 ], [ -109.4833,32.157506 ], [ -109.429094,32.157506 ], [ -109.429094,32.141136 ], [ -109.4833,32.141136 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5226f6e3e4b01904cf5a8163","contributors":{"authors":[{"text":"Studd, Sarah","contributorId":64984,"corporation":false,"usgs":true,"family":"Studd","given":"Sarah","affiliations":[],"preferred":false,"id":480314,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fallon, Elizabeth","contributorId":14286,"corporation":false,"usgs":true,"family":"Fallon","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":480313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crumbacher, Laura","contributorId":87850,"corporation":false,"usgs":true,"family":"Crumbacher","given":"Laura","email":"","affiliations":[],"preferred":false,"id":480315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drake, Sam","contributorId":10532,"corporation":false,"usgs":true,"family":"Drake","given":"Sam","email":"","affiliations":[],"preferred":false,"id":480312,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":480311,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70047950,"text":"70047950 - 2013 - Comparative embryotoxicity of a pentabrominated diphenyl ether mixture to common terns (Sterna hirundo) and American kestrels (Falco sparverius)","interactions":[],"lastModifiedDate":"2017-10-30T12:18:22","indexId":"70047950","displayToPublicDate":"2013-09-03T12:33:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"title":"Comparative embryotoxicity of a pentabrominated diphenyl ether mixture to common terns (Sterna hirundo) and American kestrels (Falco sparverius)","docAbstract":"Concentrations of polybrominated diphenyl ethers (PBDEs) in Forster’s tern (Sterna forsteri) eggs from San Francisco Bay have been reported to range up to 63 μg g−1 lipid weight. This value exceeds the lowest-observed-adverse-effect level (1.8 μg g−1 egg wet weight; ∼32 μg−1 lipid weight) reported in an embryotoxicity study with American kestrels (Falco sparverius). As a surrogate for Forster’s terns, common tern (Sterna hirundo) eggs were treated by air cell injection with corn oil vehicle (control) or a commercial penta-BDE formulation (DE-71) at nominal concentrations of 0.2, 2, and 20 μg g−1 egg. As a positive control, kestrel eggs received vehicle or 20 μg DE-71 g−1 egg. In terns, there were no effects of DE-71 on embryonic survival, and pipping or hatching success; however, treated eggs hatched later (0.44 d) than controls. Organ weights, organ-to-body weight ratios, and bone lengths did not differ, and histopathological observations were unremarkable. Several measures of hepatic oxidative stress in hatchling terns were not affected by DE-71, although there was some evidence of oxidative DNA damage (8-hydroxy-deoxyguanosine; 8-OH-dG). Although DE-71 did not impair pipping and hatching of kestrels, it did result in a delay in hatch, shorter humerus length, and reduced total thyroid weight. Concentrations of oxidized glutathione, reduced glutathione, thiobarbituric acid reactive substances, and 8-OH-dG in liver were greater in DE-71-treated kestrels compared to controls. Our findings suggest common tern embryos, and perhaps other tern species, are less sensitive to PBDEs than kestrel embryos.","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2013.05.030","usgsCitation":"Rattner, B.A., Lazarus, R., Heinz, G.H., Karouna-Reiner, N.K., Schultz, S., and Hale, R.C., 2013, Comparative embryotoxicity of a pentabrominated diphenyl ether mixture to common terns (Sterna hirundo) and American kestrels (Falco sparverius): Chemosphere, v. 93, no. 2, p. 441-447, https://doi.org/10.1016/j.chemosphere.2013.05.030.","productDescription":"7 p.","startPage":"441","endPage":"447","ipdsId":"IP-046129","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":277242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"San Francisco Bay;Poplar Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.53,37.48 ], [ -122.53,38.78 ], [ -76.36,38.78 ], [ -76.36,37.48 ], [ -122.53,37.48 ] ] ] } } ] }","volume":"93","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5226f6dee4b01904cf5a813f","contributors":{"authors":[{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":483375,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lazarus, Rebecca S.","contributorId":11864,"corporation":false,"usgs":true,"family":"Lazarus","given":"Rebecca S.","affiliations":[],"preferred":false,"id":483376,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heinz, Gary H.","contributorId":85698,"corporation":false,"usgs":true,"family":"Heinz","given":"Gary","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":483378,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karouna-Reiner, Natalie K.","contributorId":84258,"corporation":false,"usgs":true,"family":"Karouna-Reiner","given":"Natalie","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":483377,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schultz, Sandra L. 0000-0003-3394-2857","orcid":"https://orcid.org/0000-0003-3394-2857","contributorId":105208,"corporation":false,"usgs":true,"family":"Schultz","given":"Sandra L.","affiliations":[],"preferred":false,"id":483380,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hale, Robert C.","contributorId":105036,"corporation":false,"usgs":true,"family":"Hale","given":"Robert","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":483379,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70047503,"text":"70047503 - 2013 - Social learning of migratory performance","interactions":[],"lastModifiedDate":"2013-10-30T12:41:03","indexId":"70047503","displayToPublicDate":"2013-09-03T11:12:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Social learning of migratory performance","docAbstract":"Successful bird migration can depend on individual learning, social learning, and innate navigation programs. Using 8 years of data on migrating whooping cranes, we were able to partition genetic and socially learned aspects of migration. Specifically, we analyzed data from a reintroduced population wherein all birds were captive bred and artificially trained by ultralight aircraft on their first lifetime migration. For subsequent migrations, in which birds fly individually or in groups but without ultralight escort, we found evidence of long-term social learning, but no effect of genetic relatedness on migratory performance. Social learning from older birds reduced deviations from a straight-line path, with 7 years of experience yielding a 38% improvement in migratory accuracy.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1126/science.1237139","usgsCitation":"Mueller, T., O’Hara, R.B., Converse, S.J., Urbanek, R.P., and Fagan, W., 2013, Social learning of migratory performance: Science, v. 341, no. 6149, p. 999-1002, https://doi.org/10.1126/science.1237139.","productDescription":"4 p.","startPage":"999","endPage":"1002","numberOfPages":"4","ipdsId":"IP-049651","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":277238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277237,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1126/science.1237139"}],"volume":"341","issue":"6149","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5226f6e1e4b01904cf5a8153","contributors":{"authors":[{"text":"Mueller, Thomas","contributorId":91393,"corporation":false,"usgs":true,"family":"Mueller","given":"Thomas","affiliations":[],"preferred":false,"id":482204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Hara, Robert B.","contributorId":46402,"corporation":false,"usgs":true,"family":"O’Hara","given":"Robert","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":482203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":3513,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":482201,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Urbanek, Richard P.","contributorId":38400,"corporation":false,"usgs":true,"family":"Urbanek","given":"Richard","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":482202,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fagan, William F.","contributorId":108239,"corporation":false,"usgs":true,"family":"Fagan","given":"William F.","affiliations":[],"preferred":false,"id":482205,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70046867,"text":"70046867 - 2013 - 2013 Gulf of Mexico Hypoxia Forecast","interactions":[],"lastModifiedDate":"2013-10-30T12:40:16","indexId":"70046867","displayToPublicDate":"2013-09-03T11:07:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"2013 Gulf of Mexico Hypoxia Forecast","docAbstract":"The Gulf of Mexico annual summer hypoxia forecasts are based on average May total nitrogen loads from the Mississippi River basin for that year. The load estimate, recently released by USGS, is 7,316 metric tons per day. Based on that estimate, we predict the area of this summer’s hypoxic zone to be 18,900 square kilometers (95% credible interval, 13,400 to 24,200), the 7th largest reported and about the size of New Jersey. Our forecast hypoxic volume is 74.5 km3 (95% credible interval, 51.5 to 97.0), also the 7th largest on record.","language":"English","publisher":"University of Michigan","publisherLocation":"Ann Arbor, MI","usgsCitation":"Scavia, D., Evans, M.A., and Obenour, D., 2013, 2013 Gulf of Mexico Hypoxia Forecast.","numberOfPages":"6","ipdsId":"IP-048824","costCenters":[],"links":[{"id":277236,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274702,"type":{"id":15,"text":"Index Page"},"url":"https://snre.umich.edu/scavia/wp-content/uploads/2013/07/2013-Gulf-of-Mexico-Hypoxic-Forecast.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5226f6cfe4b01904cf5a8137","contributors":{"authors":[{"text":"Scavia, Donald","contributorId":19068,"corporation":false,"usgs":true,"family":"Scavia","given":"Donald","affiliations":[],"preferred":false,"id":480505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":4883,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":480503,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Obenour, Dan","contributorId":18665,"corporation":false,"usgs":true,"family":"Obenour","given":"Dan","affiliations":[],"preferred":false,"id":480504,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047924,"text":"70047924 - 2013 - Too risky to settle: avian community structure changes in response to perceived predation risk on adults and offspring","interactions":[],"lastModifiedDate":"2013-09-03T11:00:11","indexId":"70047924","displayToPublicDate":"2013-09-03T10:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Too risky to settle: avian community structure changes in response to perceived predation risk on adults and offspring","docAbstract":"Predation risk is widely hypothesized as an important force structuring communities, but this potential force is rarely tested experimentally, particularly in terrestrial vertebrate communities. How animals respond to predation risk is generally considered predictable from species life-history and natural-history traits, but rigorous tests of these predictions remain scarce. We report on a large-scale playback experiment with a forest bird community that addresses two questions: (i) does perceived predation risk shape the richness and composition of a breeding bird community? And (ii) can species life-history and natural-history traits predict prey community responses to different types of predation risk? On 9 ha plots, we manipulated cues of three avian predators that preferentially prey on either adult birds or offspring, or both, throughout the breeding season. We found that increased perception of predation risk led to generally negative responses in the abundance, occurrence and/or detection probability of most prey species, which in turn reduced the species richness and shifted the composition of the breeding bird community. Species-level responses were largely predicted from the key natural-history trait of body size, but we did not find support for the life-history theory prediction of the relationship between species' slow/fast life-history strategy and their response to predation risk.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the Royal Society B: Biological Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Royal Society","doi":"10.1098/rspb.2013.0762","usgsCitation":"Hua, F., Fletcher, R., Sieving, K.E., and Dorazio, R.M., 2013, Too risky to settle: avian community structure changes in response to perceived predation risk on adults and offspring: Proceedings of the Royal Society B: Biological Sciences, v. 280, no. 1764, 8 p., https://doi.org/10.1098/rspb.2013.0762.","productDescription":"8 p.","numberOfPages":"8","temporalStart":"2010-02-01","temporalEnd":"2010-08-31","ipdsId":"IP-044467","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473556,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1098/rspb.2013.0762","text":"External Repository"},{"id":277234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277233,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1098/rspb.2013.0762"}],"country":"United States","state":"Florida","otherGeospatial":"Ordway-swisher Biological Station","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.056151,29.63645 ], [ -82.056151,29.762568 ], [ -81.859303,29.762568 ], [ -81.859303,29.63645 ], [ -82.056151,29.63645 ] ] ] } } ] }","volume":"280","issue":"1764","noUsgsAuthors":false,"publicationDate":"2013-08-07","publicationStatus":"PW","scienceBaseUri":"5226f6e2e4b01904cf5a815f","contributors":{"authors":[{"text":"Hua, Fangyuan","contributorId":94579,"corporation":false,"usgs":true,"family":"Hua","given":"Fangyuan","email":"","affiliations":[],"preferred":false,"id":483307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fletcher, Robert J.","contributorId":81785,"corporation":false,"usgs":true,"family":"Fletcher","given":"Robert J.","affiliations":[],"preferred":false,"id":483306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sieving, Kathryn E.","contributorId":99872,"corporation":false,"usgs":true,"family":"Sieving","given":"Kathryn","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":483308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":483305,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70047948,"text":"70047948 - 2013 - Candidate soil indicators for monitoring the progress of constructed wetlands toward a natural state: a statistical approach","interactions":[],"lastModifiedDate":"2018-04-16T16:55:22","indexId":"70047948","displayToPublicDate":"2013-09-03T10:25:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Candidate soil indicators for monitoring the progress of constructed wetlands toward a natural state: a statistical approach","docAbstract":"A persistent question among ecologists and environmental managers is whether constructed wetlands are structurally or functionally equivalent to naturally occurring wetlands. We examined 19 variables collected from 10 constructed and nine natural emergent wetlands in Ohio, USA. Our primary objective was to identify candidate indicators of wetland class (natural or constructed), based on measurements of soil properties and an index of vegetation integrity, that can be used to track the progress of constructed wetlands toward a natural state. The method of nearest shrunken centroids was used to find a subset of variables that would serve as the best classifiers of wetland class, and error rate was calculated using a five-fold cross-validation procedure. The shrunken differences of percent total organic carbon (% TOC) and percent dry weight of the soil exhibited the greatest distances from the overall centroid. Classification based on these two variables yielded a misclassification rate of 11% based on cross-validation. Our results indicate that % TOC and percent dry weight can be used as candidate indicators of the status of emergent, constructed wetlands in Ohio and for assessing the performance of mitigation. The method of nearest shrunken centroids has excellent potential for further applications in ecology.","language":"English","publisher":"Springer","doi":"10.1007/s13157-013-0464-3","usgsCitation":"Stapanian, M.A., Adams, J.V., Fennessy, M.S., Mack, J., and Micacchion, M., 2013, Candidate soil indicators for monitoring the progress of constructed wetlands toward a natural state: a statistical approach: Wetlands, v. 33, no. 6, p. 1083-1094, https://doi.org/10.1007/s13157-013-0464-3.","productDescription":"12 p.","startPage":"1083","endPage":"1094","numberOfPages":"12","ipdsId":"IP-049409","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":277232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277229,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-013-0464-3"}],"country":"United States","state":"Ohio","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.8203,38.4034 ], [ -84.8203,41.9773 ], [ -80.5182,41.9773 ], [ -80.5182,38.4034 ], [ -84.8203,38.4034 ] ] ] } } ] }","volume":"33","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-08-04","publicationStatus":"PW","scienceBaseUri":"5226f6dde4b01904cf5a813b","contributors":{"authors":[{"text":"Stapanian, Martin A. 0000-0001-8173-4273 mstapanian@usgs.gov","orcid":"https://orcid.org/0000-0001-8173-4273","contributorId":3425,"corporation":false,"usgs":true,"family":"Stapanian","given":"Martin","email":"mstapanian@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":483367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":483366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fennessy, M. Siobhan","contributorId":42514,"corporation":false,"usgs":true,"family":"Fennessy","given":"M.","email":"","middleInitial":"Siobhan","affiliations":[],"preferred":false,"id":483369,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mack, John","contributorId":47665,"corporation":false,"usgs":true,"family":"Mack","given":"John","affiliations":[],"preferred":false,"id":483370,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Micacchion, Mick","contributorId":21511,"corporation":false,"usgs":true,"family":"Micacchion","given":"Mick","affiliations":[],"preferred":false,"id":483368,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70047947,"text":"70047947 - 2013 - Continuous gravity measurements reveal a low-density lava lake at Kīlauea Volcano, Hawai‘i","interactions":[],"lastModifiedDate":"2013-10-30T12:39:36","indexId":"70047947","displayToPublicDate":"2013-09-03T10:03:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Continuous gravity measurements reveal a low-density lava lake at Kīlauea Volcano, Hawai‘i","docAbstract":"On 5 March 2011, the lava lake within the summit eruptive vent at Kīlauea Volcano, Hawai‘i, began to drain as magma withdrew to feed a dike intrusion and fissure eruption on the volcanoʼs east rift zone. The draining was monitored by a variety of continuous geological and geophysical measurements, including deformation, thermal and visual imagery, and gravity. Over the first ∼14 hours of the draining, the ground near the eruptive vent subsided by about 0.15 m, gravity dropped by more than 100 μGal, and the lava lake retreated by over 120 m. We used GPS data to correct the gravity signal for the effects of subsurface mass loss and vertical deformation in order to isolate the change in gravity due to draining of the lava lake alone. Using a model of the eruptive vent geometry based on visual observations and the lava level over time determined from thermal camera data, we calculated the best-fit lava density to the observed gravity decrease — to our knowledge, the first geophysical determination of the density of a lava lake anywhere in the world. Our result, 950 +/- 300 kg m-3, suggests a lava density less than that of water and indicates that Kīlaueaʼs lava lake is gas-rich, which can explain why rockfalls that impact the lake trigger small explosions. Knowledge of such a fundamental material property as density is also critical to investigations of lava-lake convection and degassing and can inform calculations of pressure change in the subsurface magma plumbing system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth and Planetary Science Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2013.06.024","usgsCitation":"Carbone, D., Poland, M., Patrick, M.R., and Orr, T., 2013, Continuous gravity measurements reveal a low-density lava lake at Kīlauea Volcano, Hawai‘i: Earth and Planetary Science Letters, v. 376, no. 15 August, p. 178-185, https://doi.org/10.1016/j.epsl.2013.06.024.","productDescription":"8 p.","startPage":"178","endPage":"185","numberOfPages":"8","ipdsId":"IP-048829","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":277225,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.epsl.2013.06.024"},{"id":277228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.295439,19.388239 ], [ -155.295439,19.426125 ], [ -155.242481,19.426125 ], [ -155.242481,19.388239 ], [ -155.295439,19.388239 ] ] ] } } ] }","volume":"376","issue":"15 August","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5226f6dfe4b01904cf5a8143","contributors":{"authors":[{"text":"Carbone, Daniele","contributorId":38458,"corporation":false,"usgs":true,"family":"Carbone","given":"Daniele","affiliations":[],"preferred":false,"id":483365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":635,"corporation":false,"usgs":true,"family":"Poland","given":"Michael P.","email":"mpoland@usgs.gov","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":483362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":483363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orr, Tim R. torr@usgs.gov","contributorId":3766,"corporation":false,"usgs":true,"family":"Orr","given":"Tim R.","email":"torr@usgs.gov","affiliations":[],"preferred":false,"id":483364,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70044607,"text":"70044607 - 2013 - Book review: The requisite reference for the study of Sirenia","interactions":[],"lastModifiedDate":"2017-08-08T09:01:30","indexId":"70044607","displayToPublicDate":"2013-09-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5173,"text":"Journal of Mammalian Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Book review: The requisite reference for the study of Sirenia","docAbstract":"Sirenians often are given little or no notice in texts on marine mammals; whales, dolphins, and seals are what come to mind for most when a marine mammal is imagined. An order of only four extant species, the Sirenia is indeed the “other” frequently overlooked group of marine mammals. Dugongs and manatees remain unknown by much of the world, but to those that study these species, the members are extraordinarily unique and fascinating. The three highly respected authors of this newly published volume are all distinguished researchers, with more than a century of combined expertise in the study of this mammalian order. Their collective experience and insight make this book a captivating and valuable read for students, professionals, and anyone interested in having an all-inclusive reference for learning about the Order Sirenia.
Review info: Ecology and conservation of the Sirenia-dugongs and manatees. By H. Marsh, T. J. O'Shea, and J. E. Reynolds, III, 2012. ISBN: 978-0521888288, 521 pp.
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