The 2016 Kumamoto, Japan, earthquake sequence, culminating in the Mw=7.0 16 April 2016 main shock, occurred within an active tectonic belt of central Kyushu. GPS data from GEONET reveal transient crustal motions from several millimeters per year up to ∼3 cm/yr during the first 8.5 months following the sequence. The spatial pattern of horizontal postseismic motions is shaped by both shallow afterslip and viscoelastic relaxation of the lower crust and upper mantle. We construct a suite of 2-D regional viscoelastic structures in order to derive an optimal joint afterslip and viscoelastic relaxation model using forward modeling of the viscoelastic relaxation. We find that afterslip dominates the postseismic relaxation in the near field (within 30 km of the main shock epicenter), while viscoelastic relaxation dominates at greater distance. The viscoelastic modeling strongly favors a very weak lower crust below a ∼65 km wide zone coinciding with the Beppu-Shimabara graben and the locus of central Kyushu volcanism. Inferred uppermost mantle viscosity is relatively low beneath southern Kyushu, consistent with independent inferences of a hydrated mantle wedge within the Nankai trough fore -arc.
","language":"English","publisher":"AGU","doi":"10.1002/2017GL074783","usgsCitation":"Pollitz, F., Kobayashi, T., Yarai, H., Shibazaki, B., and Matsumoto, T., 2017, Viscoelastic lower crust and mantle relaxation following the 14–16 April 2016 Kumamoto, Japan, earthquake sequence: Geophysical Research Letters, v. 44, no. 17, p. 8795-8803, https://doi.org/10.1002/2017GL074783.","productDescription":"9 p.","startPage":"8795","endPage":"8803","ipdsId":"IP-088335","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","city":"Kumamoto","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 130,\n 31.5\n ],\n [\n 132,\n 31.5\n ],\n [\n 132,\n 34\n ],\n [\n 130,\n 34\n ],\n [\n 130,\n 31.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"17","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-09","publicationStatus":"PW","scienceBaseUri":"59f1a2a4e4b0220bbd9d9f42","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kobayashi, Tomokazu","contributorId":197291,"corporation":false,"usgs":false,"family":"Kobayashi","given":"Tomokazu","email":"","affiliations":[],"preferred":false,"id":713141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yarai, Hiroshi","contributorId":197292,"corporation":false,"usgs":false,"family":"Yarai","given":"Hiroshi","email":"","affiliations":[],"preferred":false,"id":713142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shibazaki, Bunichiro","contributorId":197293,"corporation":false,"usgs":false,"family":"Shibazaki","given":"Bunichiro","email":"","affiliations":[],"preferred":false,"id":713143,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matsumoto, Takumi","contributorId":197294,"corporation":false,"usgs":false,"family":"Matsumoto","given":"Takumi","email":"","affiliations":[],"preferred":false,"id":713144,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70191058,"text":"70191058 - 2017 - Hawai`i forest bird monitoring database: Database dictionary","interactions":[],"lastModifiedDate":"2018-01-04T08:26:17","indexId":"70191058","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":414,"text":"Technical Report","active":false,"publicationSubtype":{"id":9}},"seriesNumber":"HCSU-039","title":"Hawai`i forest bird monitoring database: Database dictionary","docAbstract":"Between 1976 and 1981, the U.S. Fish and Wildlife Service (now U.S. Geological Survey – Pacific Island Ecosystems Research Center [USGS-PIERC]) conducted systematic surveys of forest birds and plant communities on all the main Hawaiian Islands, except O‘ahu, as part of the Hawai‘i Forest Bird Surveys (HFBS). Results of this monumental effort have guided conservation efforts and provided the basis for many plant and bird recovery plans and land acquisition decisions in Hawai‘i. Unfortunately, these estimates and range maps are now seriously outdated, hindering modern conservation decision-making and recovery planning. HFBIDP staff work closely with land managers and others to identify the location of bird populations in need of protection. In addition, HFBIDP is able to assess field collection methods, census areas, and survey frequency for their effectiveness. Survey and geographical data are refined and released in successive versions, each more inclusive, detailed, and accurate than the previous release. Incrementally releasing data gives land managers and survey coordinators reasonably good data to work with early on rather than waiting for the release of ‘perfect’ data, ‘perfectly’ analyzed. Consequently, summary results are available in a timely manner.
","language":"English","publisher":"University of Hawaii at Hilo","usgsCitation":"Camp, R.J., and Genz, A., 2017, Hawai`i forest bird monitoring database: Database dictionary: Technical Report HCSU-039, viii, 456 p.","productDescription":"viii, 456 p.","numberOfPages":"464","ipdsId":"IP-090470","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":346357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346034,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/3311"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d4a1a7e4b05fe04cc4e0f1","contributors":{"authors":[{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":711072,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Genz, Ayesha 0000-0002-2916-1436","orcid":"https://orcid.org/0000-0002-2916-1436","contributorId":196671,"corporation":false,"usgs":false,"family":"Genz","given":"Ayesha","email":"","affiliations":[],"preferred":false,"id":711073,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70191052,"text":"70191052 - 2017 - The fascinating and complex dynamics of geyser eruptions","interactions":[],"lastModifiedDate":"2017-09-25T11:57:02","indexId":"70191052","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":806,"text":"Annual Review of Earth and Planetary Sciences","active":true,"publicationSubtype":{"id":10}},"title":"The fascinating and complex dynamics of geyser eruptions","docAbstract":"Geysers episodically erupt liquid and vapor. Despite two centuries of scientific study, basic questions persist—why do geysers exist? What determines eruption intervals, durations, and heights? What initiates eruptions? Through monitoring eruption intervals, analyzing geophysical data, taking measurements within geyser conduits, performing numerical simulations, and constructing laboratory models, some of these questions have been addressed. Geysers are uncommon because they require a combination of abundant water recharge, magmatism, and rhyolite flows to supply heat and silica, and large fractures and cavities overlain by low-permeability materials to trap rising multiphase and multicomponent fluids. Eruptions are driven by the conversion of thermal to kinetic energy during decompression. Larger and deeper cavities permit larger eruptions and promote regularity by isolating water from weather variations. The ejection velocity may be limited by the speed of sound of the liquid + vapor mixture.
","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-earth-063016-015605","usgsCitation":"Hurwitz, S., and Manga, M., 2017, The fascinating and complex dynamics of geyser eruptions: Annual Review of Earth and Planetary Sciences, v. 45, p. 31-59, https://doi.org/10.1146/annurev-earth-063016-015605.","productDescription":"29 p.","startPage":"31","endPage":"59","ipdsId":"IP-075214","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":469559,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-earth-063016-015605","text":"Publisher Index Page"},{"id":346049,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59ca15ade4b017cf314041c0","contributors":{"authors":[{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":711065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manga, Michael","contributorId":145531,"corporation":false,"usgs":false,"family":"Manga","given":"Michael","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":711066,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70190579,"text":"70190579 - 2017 - Carbon dynamics of river corridors and the effects of human alterations","interactions":[],"lastModifiedDate":"2017-09-08T12:02:44","indexId":"70190579","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Carbon dynamics of river corridors and the effects of human alterations","docAbstract":"Research in stream metabolism, gas exchange, and sediment dynamics indicates that rivers are an active component of the global carbon cycle and that river form and process can influence partitioning of terrestrially derived carbon among the atmosphere, geosphere, and ocean. Here we develop a conceptual model of carbon dynamics (inputs, outputs, and storage of organic carbon) within a river corridor, which includes the active channel and the riparian zone. The exchange of carbon from the channel to the riparian zone represents potential for storage of transported carbon not included in the “active pipe” model of organic carbon (OC) dynamics in freshwater systems. The active pipe model recognizes that river processes influence carbon dynamics, but focuses on CO2 emissions from the channel and eventual delivery to the ocean. We also review how human activities directly and indirectly alter carbon dynamics within river corridors. We propose that dams create the most significant alteration of carbon dynamics within a channel, but that alteration of riparian zones, including the reduction of lateral connectivity between the channel and riparian zone, constitutes the most substantial change of carbon dynamics in river corridors. We argue that the morphology and processes of a river corridor regulate the ability to store, transform, and transport OC, and that people are pervasive modifiers of river morphology and processes. The net effect of most human activities, with the notable exception of reservoir construction, appears to be that of reducing the ability of river corridors to store OC within biota and sediment, which effectively converts river corridors to OC sources rather than OC sinks. We conclude by summarizing knowledge gaps in OC dynamics and the implications of our findings for managing OC dynamics within river corridors.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecm.1261","usgsCitation":"Wohl, E., Hall, R., Lininger, K.B., Sutfin, N.A., and Walters, D., 2017, Carbon dynamics of river corridors and the effects of human alterations: Ecological Monographs, v. 87, no. 3, p. 379-409, https://doi.org/10.1002/ecm.1261.","productDescription":"31 p.","startPage":"379","endPage":"409","ipdsId":"IP-073745","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469571,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1406212","text":"Publisher Index Page"},{"id":345582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-22","publicationStatus":"PW","scienceBaseUri":"59b3ac33e4b08b1644d8f1bb","contributors":{"authors":[{"text":"Wohl, Ellen 0000-0001-7435-5013","orcid":"https://orcid.org/0000-0001-7435-5013","contributorId":194945,"corporation":false,"usgs":false,"family":"Wohl","given":"Ellen","affiliations":[],"preferred":false,"id":709887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Robert O. Jr.","contributorId":104182,"corporation":false,"usgs":true,"family":"Hall","given":"Robert O.","suffix":"Jr.","affiliations":[],"preferred":false,"id":709888,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lininger, Katherine B. 0000-0003-0378-9505","orcid":"https://orcid.org/0000-0003-0378-9505","contributorId":194946,"corporation":false,"usgs":false,"family":"Lininger","given":"Katherine","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":709889,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sutfin, Nicholas A.","contributorId":196280,"corporation":false,"usgs":false,"family":"Sutfin","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":709890,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walters, David 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":147135,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":709886,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193530,"text":"70193530 - 2017 - Size selection from fishways and potential evolutionary responses in a threatened Atlantic salmon population","interactions":[],"lastModifiedDate":"2017-11-14T14:04:38","indexId":"70193530","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Size selection from fishways and potential evolutionary responses in a threatened Atlantic salmon population","docAbstract":"The evolutionary effects of harvest on wild fish populations have been documented around the world; however, sublethal selective pressures can also cause evolutionary changes in phenotypes. For migratory fishes, passage facilities may represent instances of nonlethal selective pressure. Our analysis of 6 years of passage data suggests that certain fish passage facilities on the Penobscot River have been exerting selective pressure against large-bodied, anadromous Atlantic salmon (Salmo salar). At the second and third dams in the river, a 91-cm salmon was 21%–27% and 12%–16% less likely to pass than a 45-cm salmon, respectively. Fish size positively influences egg survival and number and is a heritable trait. Therefore, in a wild-reproducing population, exclusion of large fish from spawning areas may have population-level impacts. In the Penobscot River, most returning adults derive from a hatchery program that collects its broodstock after passing the first dam in the river. Analysis of fork lengths of salmon returning to the Penobscot River from 1978 to 2012 provided mixed support for evolution of size at maturity in different age classes in a pattern that may be expected from interactions with conservation hatchery operations. Additionally, slow-maturing and iteroparous individuals that represent the largest salmon size classes were essentially lost from the population during that time, and Penobscot River fish have shorter fork lengths at maturity than Atlantic salmon in undammed systems.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3155","usgsCitation":"Maynard, G.A., Kinnison, M., and Zydlewski, J.D., 2017, Size selection from fishways and potential evolutionary responses in a threatened Atlantic salmon population: River Research and Applications, v. 33, no. 7, p. 1004-1015, https://doi.org/10.1002/rra.3155.","productDescription":"12 p.","startPage":"1004","endPage":"1015","ipdsId":"IP-072943","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348840,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -69.3292236328125,\n 44.77013681219717\n ],\n [\n -68.3184814453125,\n 44.77013681219717\n ],\n [\n -68.3184814453125,\n 45.596743928454124\n ],\n [\n -69.3292236328125,\n 45.596743928454124\n ],\n [\n -69.3292236328125,\n 44.77013681219717\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"33","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-18","publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fc2","contributors":{"authors":[{"text":"Maynard, George A.","contributorId":189242,"corporation":false,"usgs":false,"family":"Maynard","given":"George","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinnison, M.T.","contributorId":85410,"corporation":false,"usgs":true,"family":"Kinnison","given":"M.T.","email":"","affiliations":[],"preferred":false,"id":722050,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":719277,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193546,"text":"70193546 - 2017 - Estimating age at a specified length from the von Bertalanffy growth function","interactions":[],"lastModifiedDate":"2017-11-14T13:05:24","indexId":"70193546","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimating age at a specified length from the von Bertalanffy growth function","docAbstract":"Estimating the time required (i.e., age) for fish in a population to reach a specific length (e.g., legal harvest length) is useful for understanding population dynamics and simulating the potential effects of length-based harvest regulations. The age at which a population reaches a specific mean length is typically estimated by fitting a von Bertalanffy growth function to length-at-age data and then rearranging the best-fit equation to solve for age at the specified length. This process precludes the use of standard frequentist methods to compute confidence intervals and compare estimates of age at the specified length among populations. We provide a parameterization of the von Bertalanffy growth function that has age at a specified length as a parameter. With this parameterization, age at a specified length is directly estimated, and standard methods can be used to construct confidence intervals and make among-group comparisons for this parameter. We demonstrate use of the new parameterization with two data sets.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2017.1342725","usgsCitation":"Ogle, D.H., and Isermann, D.A., 2017, Estimating age at a specified length from the von Bertalanffy growth function: North American Journal of Fisheries Management, v. 37, no. 5, p. 1176-1180, https://doi.org/10.1080/02755947.2017.1342725.","productDescription":"15 p.","startPage":"1176","endPage":"1180","ipdsId":"IP-083184","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348821,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-08","publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fbc","contributors":{"authors":[{"text":"Ogle, Derek H.","contributorId":73967,"corporation":false,"usgs":true,"family":"Ogle","given":"Derek","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":722032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719323,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193256,"text":"70193256 - 2017 - Landsat-8 TIRS thermal radiometric calibration status","interactions":[],"lastModifiedDate":"2022-04-13T20:29:00.342257","indexId":"70193256","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Landsat-8 TIRS thermal radiometric calibration status","docAbstract":"The Thermal Infrared Sensor (TIRS) instrument is the thermal-band imager on the Landsat-8 platform. The initial onorbit calibration estimates of the two TIRS spectral bands indicated large average radiometric calibration errors, -0.29 and -0.51 W/m2 sr μm or -2.1K and -4.4K at 300K in Bands 10 and 11, respectively, as well as high variability in the errors, 0.87K and 1.67K (1-σ), respectively. The average error was corrected in operational processing in January 2014, though, this adjustment did not improve the variability. The source of the variability was determined to be stray light from far outside the field of view of the telescope. An algorithm for modeling the stray light effect was developed and implemented in the Landsat-8 processing system in February 2017. The new process has improved the overall calibration of the two TIRS bands, reducing the residual variability in the calibration from 0.87K to 0.51K at 300K for Band 10 and from 1.67K to 0.84K at 300K for Band 11. There are residual average lifetime bias errors in each band: 0.04 W/m2 sr μm (0.30K) and -0.04 W/m2 sr μm (-0.29K), for Bands 10 and 11, respectively.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings Volume 10402, Earth Observing Systems XXII","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"SPIE","doi":"10.1117/12.2276045","usgsCitation":"Barsi, J.A., Markham, B.L., Montanaro, M., Gerace, A., Hook, S., Schott, J.R., Raqueno, N.G., and Morfitt, R., 2017, Landsat-8 TIRS thermal radiometric calibration status, in Proceedings Volume 10402, Earth Observing Systems XXII, 11 p., https://doi.org/10.1117/12.2276045.","productDescription":"11 p.","ipdsId":"IP-089775","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":350087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fc5","contributors":{"authors":[{"text":"Barsi, Julia A.","contributorId":71822,"corporation":false,"usgs":false,"family":"Barsi","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":718387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Markham, Brian L.","contributorId":90482,"corporation":false,"usgs":false,"family":"Markham","given":"Brian","email":"","middleInitial":"L.","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":718388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Montanaro, Matthew","contributorId":147004,"corporation":false,"usgs":false,"family":"Montanaro","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":718389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerace, Aaron","contributorId":199173,"corporation":false,"usgs":false,"family":"Gerace","given":"Aaron","email":"","affiliations":[],"preferred":false,"id":718390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hook, Simon","contributorId":150339,"corporation":false,"usgs":false,"family":"Hook","given":"Simon","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":718391,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schott, John R.","contributorId":199175,"corporation":false,"usgs":false,"family":"Schott","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":718392,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Raqueno, Nina G.","contributorId":199176,"corporation":false,"usgs":false,"family":"Raqueno","given":"Nina","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":718393,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morfitt, Ron 0000-0002-4777-4877 rmorfitt@usgs.gov","orcid":"https://orcid.org/0000-0002-4777-4877","contributorId":4097,"corporation":false,"usgs":true,"family":"Morfitt","given":"Ron","email":"rmorfitt@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":718386,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70192633,"text":"70192633 - 2017 - Imputation approaches for animal movement modeling","interactions":[],"lastModifiedDate":"2017-11-10T10:51:06","indexId":"70192633","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2151,"text":"Journal of Agricultural, Biological, and Environmental Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Imputation approaches for animal movement modeling","docAbstract":"The analysis of telemetry data is common in animal ecological studies. While the collection of telemetry data for individual animals has improved dramatically, the methods to properly account for inherent uncertainties (e.g., measurement error, dependence, barriers to movement) have lagged behind. Still, many new statistical approaches have been developed to infer unknown quantities affecting animal movement or predict movement based on telemetry data. Hierarchical statistical models are useful to account for some of the aforementioned uncertainties, as well as provide population-level inference, but they often come with an increased computational burden. For certain types of statistical models, it is straightforward to provide inference if the latent true animal trajectory is known, but challenging otherwise. In these cases, approaches related to multiple imputation have been employed to account for the uncertainty associated with our knowledge of the latent trajectory. Despite the increasing use of imputation approaches for modeling animal movement, the general sensitivity and accuracy of these methods have not been explored in detail. We provide an introduction to animal movement modeling and describe how imputation approaches may be helpful for certain types of models. We also assess the performance of imputation approaches in two simulation studies. Our simulation studies suggests that inference for model parameters directly related to the location of an individual may be more accurate than inference for parameters associated with higher-order processes such as velocity or acceleration. Finally, we apply these methods to analyze a telemetry data set involving northern fur seals (Callorhinus ursinus) in the Bering Sea. Supplementary materials accompanying this paper appear online.
","language":"English","publisher":"Springer","doi":"10.1007/s13253-017-0294-5","usgsCitation":"Scharf, H., Hooten, M., and Johnson, D., 2017, Imputation approaches for animal movement modeling: Journal of Agricultural, Biological, and Environmental Statistics, v. 22, no. 3, p. 335-352, https://doi.org/10.1007/s13253-017-0294-5.","productDescription":"18 p.","startPage":"335","endPage":"352","ipdsId":"IP-083743","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469562,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://arxiv.org/abs/1705.10310","text":"External Repository"},{"id":348558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-11","publicationStatus":"PW","scienceBaseUri":"5a06c8c8e4b09af898c860fb","contributors":{"authors":[{"text":"Scharf, Henry","contributorId":200238,"corporation":false,"usgs":false,"family":"Scharf","given":"Henry","affiliations":[],"preferred":false,"id":721545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":716605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Devin S.","contributorId":47524,"corporation":false,"usgs":true,"family":"Johnson","given":"Devin S.","affiliations":[],"preferred":false,"id":721546,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192054,"text":"70192054 - 2017 - Comparing efficiency of American Fisheries Society standard snorkeling techniques to environmental DNA sampling techniques","interactions":[],"lastModifiedDate":"2017-10-19T16:28:10","indexId":"70192054","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Comparing efficiency of American Fisheries Society standard snorkeling techniques to environmental DNA sampling techniques","docAbstract":"Analysis of environmental DNA (eDNA) is an emerging technique used to detect aquatic species through water sampling and the extraction of biological material for amplification. Our study compared the efficacy of eDNA methodology to American Fisheries Society (AFS) standard snorkeling surveys with regard to detecting the presence of rare fish species. Knowing which method is more efficient at detecting target species will help managers to determine the best way to sample when both traditional sampling methods and eDNA sampling are available. Our study site included three Navajo Nation streams that contained Navajo Nation Genetic Subunit Bluehead Suckers Catostomus discobolus and Zuni Bluehead Suckers C. discobolus yarrowi. We first divided the entire wetted area of streams into consecutive 100-m reaches and then systematically selected 10 reaches/stream for snorkel and eDNA surveys. Surface water samples were taken in 10-m sections within each 100-m reach, while fish presence was noted via snorkeling in each 10-m section. Quantitative PCR was run on each individual water sample in quadruplicate to test for the presence or absence of the target species. With eDNA sampling techniques, we were able to positively detect both species in two out of the three streams. Snorkeling resulted in positive detection of both species in all three streams. In streams where the target species were detected with eDNA sampling, snorkeling detected fish at 11–29 sites/stream, whereas eDNA detected fish at 3–12 sites/stream. Our results suggest that AFS standard snorkeling is more effective than eDNA for detecting target fish species. To improve our eDNA procedures, the amount of water collected and tested should be increased. Additionally, filtering water on-site may improve eDNA techniques for detecting fish. Future research should focus on standardization of eDNA sampling to provide a widely operational sampling tool.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2017.1306005","usgsCitation":"Ulibarri, R.M., Bonar, S.A., Rees, C.B., Amberg, J., Ladell, B., and Jackson, C., 2017, Comparing efficiency of American Fisheries Society standard snorkeling techniques to environmental DNA sampling techniques: North American Journal of Fisheries Management, v. 37, no. 3, p. 644-651, https://doi.org/10.1080/02755947.2017.1306005.","productDescription":"8 p.","startPage":"644","endPage":"651","ipdsId":"IP-085361","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":347014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.55291748046875,\n 35.97467213380802\n ],\n [\n -108.76327514648438,\n 35.97467213380802\n ],\n [\n -108.76327514648438,\n 36.353845104753745\n ],\n [\n -109.55291748046875,\n 36.353845104753745\n ],\n [\n -109.55291748046875,\n 35.97467213380802\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-04","publicationStatus":"PW","scienceBaseUri":"59e9b993e4b05fe04cd65c65","contributors":{"authors":[{"text":"Ulibarri, Roy M.","contributorId":197754,"corporation":false,"usgs":false,"family":"Ulibarri","given":"Roy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rees, Christopher B. crees@usgs.gov","contributorId":5500,"corporation":false,"usgs":true,"family":"Rees","given":"Christopher","email":"crees@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":714220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amberg, Jon J. jamberg@usgs.gov","contributorId":797,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon J.","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":714221,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ladell, Bridget","contributorId":197751,"corporation":false,"usgs":false,"family":"Ladell","given":"Bridget","affiliations":[],"preferred":false,"id":714222,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jackson, Craig 0000-0003-4023-0276 cjackson@usgs.gov","orcid":"https://orcid.org/0000-0003-4023-0276","contributorId":192276,"corporation":false,"usgs":true,"family":"Jackson","given":"Craig","email":"cjackson@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":714028,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70188428,"text":"70188428 - 2017 - Assessment of forest degradation in Vietnam using Landsat time series data","interactions":[],"lastModifiedDate":"2017-09-18T16:35:26","indexId":"70188428","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of forest degradation in Vietnam using Landsat time series data","docAbstract":"Landsat time series data were used to characterize forest degradation in Lam Dong Province, Vietnam. We conducted three types of image change analyses using Landsat time series data to characterize the land cover changes. Our analyses concentrated on the timeframe of 1973–2014, with much emphasis on the latter part of that range. We conducted a field trip through Lam Dong Province to develop a better understanding of the ground conditions of the region, during which we obtained many photographs of representative forest sites with Global Positioning System locations to assist us in our image interpretations. High-resolution Google Earth imagery and Landsat data of the region were used to validate results. In general, our analyses indicated that many land-use changes have occurred throughout Lam Dong Province, including gradual forest to non-forest transitions. Recent changes are most marked along the relatively narrow interfaces between agricultural and forest areas that occur towards the boundaries of the province. One important observation is that the most highly protected national reserves in the region have not changed much over the entire Landsat timeframe (1972–present). Spectral changes within these regions have not occurred at the same levels as those areas adjacent to the reserves.
","language":"English","publisher":"MDPI","doi":"10.3390/f8070238","usgsCitation":"Vogelmann, J., Van Khoa, P., Lan, X., Shermeyer, J.S., Shi, H., Wimberly, M.C., Tat Duong, H., and Van Huong, L., 2017, Assessment of forest degradation in Vietnam using Landsat time series data: Forests, v. 8, no. 7, p. 1-22, https://doi.org/10.3390/f8070238.","productDescription":"Article 238; 22 p.","startPage":"1","endPage":"22","ipdsId":"IP-087749","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":469558,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f8070238","text":"Publisher Index Page"},{"id":345866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Vietnam","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[108.05018,21.55238],[106.71507,20.69685],[105.88168,19.75205],[105.66201,19.05817],[106.42682,18.00412],[107.36195,16.69746],[108.2695,16.07974],[108.87711,15.27669],[109.33527,13.42603],[109.20014,11.66686],[108.36613,11.00832],[107.22093,10.36448],[106.40511,9.53084],[105.15826,8.59976],[104.79519,9.24104],[105.0762,9.91849],[104.33433,10.48654],[105.19991,10.88931],[106.24967,10.96181],[105.81052,11.56761],[107.4914,12.33721],[107.61455,13.53553],[107.38273,14.20244],[107.56453,15.20217],[107.31271,15.90854],[106.55601,16.60428],[105.92576,17.48532],[105.0946,18.66697],[103.89653,19.26518],[104.18339,19.62467],[104.82257,19.88664],[104.435,20.75873],[103.20386,20.76656],[102.7549,21.67514],[102.17044,22.46475],[102.70699,22.7088],[103.50451,22.70376],[104.47686,22.81915],[105.32921,23.35206],[105.81125,22.97689],[106.7254,22.79427],[106.56727,22.2182],[107.04342,21.8119],[108.05018,21.55238]]]},\"properties\":{\"name\":\"Vietnam\"}}]}","volume":"8","issue":"7","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-04","publicationStatus":"PW","scienceBaseUri":"59c0db1ee4b091459a5f4733","contributors":{"authors":[{"text":"Vogelmann, James 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":192352,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James","email":"vogel@usgs.gov","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":697698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Khoa, Phung","contributorId":192766,"corporation":false,"usgs":false,"family":"Van Khoa","given":"Phung","email":"","affiliations":[],"preferred":false,"id":697699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lan, Xuan","contributorId":192767,"corporation":false,"usgs":false,"family":"Lan","given":"Xuan","email":"","affiliations":[],"preferred":false,"id":697700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shermeyer, Jacob S. 0000-0002-8143-2790 jshermeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8143-2790","contributorId":5825,"corporation":false,"usgs":true,"family":"Shermeyer","given":"Jacob","email":"jshermeyer@usgs.gov","middleInitial":"S.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":697701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shi, Hua 0000-0001-7013-1565","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":192768,"corporation":false,"usgs":false,"family":"Shi","given":"Hua","affiliations":[],"preferred":false,"id":697702,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wimberly, Michael C.","contributorId":167855,"corporation":false,"usgs":false,"family":"Wimberly","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":697703,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tat Duong, Hoang","contributorId":192770,"corporation":false,"usgs":false,"family":"Tat Duong","given":"Hoang","email":"","affiliations":[],"preferred":false,"id":697704,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Van Huong, Le","contributorId":192771,"corporation":false,"usgs":false,"family":"Van Huong","given":"Le","email":"","affiliations":[],"preferred":false,"id":697705,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70190550,"text":"70190550 - 2017 - Conservation endocrinology","interactions":[],"lastModifiedDate":"2017-09-07T12:14:30","indexId":"70190550","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Conservation endocrinology","docAbstract":"Endocrinologists can make significant contributions to conservation biology by helping to understand the mechanisms by which organisms cope with changing environments. Field endocrine techniques have advanced rapidly in recent years and can provide substantial information on the growth, stress, and reproductive status of individual animals, thereby providing insight into current and future responses of populations to changes in the environment. Environmental stressors and reproductive status can be detected nonlethally by measuring a number of endocrine-related endpoints, including steroids in plasma, living and nonliving tissue, urine, and feces. Information on the environmental or endocrine requirements of individual species for normal growth, development, and reproduction will provide critical information for species and ecosystem conservation. For many taxa, basic information on endocrinology is lacking, and advances in conservation endocrinology will require approaches that are both “basic” and “applied” and include integration of laboratory and field approaches.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/biosci/bix026","usgsCitation":"McCormick, S.D., and Romero, L.M., 2017, Conservation endocrinology: BioScience, v. 67, no. 5, p. 429-442, https://doi.org/10.1093/biosci/bix026.","productDescription":"14 p.","startPage":"429","endPage":"442","ipdsId":"IP-082385","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":469555,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/bix026","text":"Publisher Index Page"},{"id":345544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","issue":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-26","publicationStatus":"PW","scienceBaseUri":"59b25b00e4b020cdf7db1fb5","contributors":{"authors":[{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":709756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romero, L. Michael","contributorId":196256,"corporation":false,"usgs":false,"family":"Romero","given":"L.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":709757,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70190511,"text":"70190511 - 2017 - It is the time for oceanic seabirds: Tracking year-round distribution of gadfly petrels across the Atlantic Ocean","interactions":[],"lastModifiedDate":"2017-09-05T13:18:34","indexId":"70190511","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"It is the time for oceanic seabirds: Tracking year-round distribution of gadfly petrels across the Atlantic Ocean","docAbstract":"Aim
Anthropogenic activities alter and constrain the structure of marine ecosystems with implications for wide-ranging marine vertebrates. In spite of the environmental importance of vast oceanic ecosystems, most conservation efforts mainly focus on neritic areas. To identify relevant oceanic areas for conservation, we assessed the year-round spatial distribution and spatio-temporal overlap of eight truly oceanic seabird species of gadfly petrels (Pterodroma spp.) inhabiting the Atlantic Ocean.
Location
Atlantic Ocean.
Methods
Using tracking data (mostly from geolocators), we examined year-round distributions, the timing of life-cycle events, and marine habitat overlap of eight gadfly petrel species that breed in the Atlantic Ocean.
Results
We compiled 125 year-round tracks. Movement strategies ranged from non-migratory to long-distance migrant species and from species sharing a common non-breeding area to species dispersing among multiple non-breeding sites. Gadfly petrels occurred throughout the Atlantic Ocean but tended to concentrate in subtropical regions. During the boreal summer, up to three species overlapped spatio-temporally over a large area around the Azores archipelago. During the austral summer, up to four species coincided in a core area in subtropical waters around Cape Verde, and three species shared habitat over two distinct areas off Brazil. The petrels used many national Exclusive Economic Zones, although they also exploited offshore international waters.
Main conclusions
Tracking movements of highly mobile vertebrates such as gadfly petrels can provide a powerful tool to evaluate and assess the potential need for and location of protected oceanic areas. As more multispecies, year-round data sets are collected from wide-ranging vertebrates, researchers and managers will have greater insight into the location of biodiversity hotspots. These can subsequently inform and guide marine spatial planning efforts that account for both conservation and sustainable use of resources such as commercial fisheries.
","language":"English","publisher":"Wiley","doi":"10.1111/ddi.12569","usgsCitation":"Ramos, R., Carlile, N., Madeiros, J., Ramirez, I., Paiva, V.H., Dinis, H.A., Zino, F., Biscoito, M., Leal, G.R., Bugoni, L., Jodice, P.G., Ryan, P.G., and Gonzalez-Solis, J., 2017, It is the time for oceanic seabirds: Tracking year-round distribution of gadfly petrels across the Atlantic Ocean: Diversity and Distributions, v. 23, no. 7, p. 794-805, https://doi.org/10.1111/ddi.12569.","productDescription":"12 p.","startPage":"794","endPage":"805","ipdsId":"IP-076904","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469566,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12569","text":"Publisher Index Page"},{"id":345461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-31","publicationStatus":"PW","scienceBaseUri":"59afb79de4b0e9bde1351133","contributors":{"authors":[{"text":"Ramos, Raul","contributorId":196169,"corporation":false,"usgs":false,"family":"Ramos","given":"Raul","affiliations":[],"preferred":false,"id":709522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlile, Nicholas","contributorId":196170,"corporation":false,"usgs":false,"family":"Carlile","given":"Nicholas","email":"","affiliations":[],"preferred":false,"id":709523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madeiros, Jeremy","contributorId":196171,"corporation":false,"usgs":false,"family":"Madeiros","given":"Jeremy","email":"","affiliations":[],"preferred":false,"id":709524,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ramirez, Ivan","contributorId":196172,"corporation":false,"usgs":false,"family":"Ramirez","given":"Ivan","email":"","affiliations":[],"preferred":false,"id":709525,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paiva, Vitor H.","contributorId":196173,"corporation":false,"usgs":false,"family":"Paiva","given":"Vitor","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":709526,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dinis, Herculano A. 0000-0002-2674-5591","orcid":"https://orcid.org/0000-0002-2674-5591","contributorId":196174,"corporation":false,"usgs":false,"family":"Dinis","given":"Herculano","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":709527,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zino, Francis","contributorId":196175,"corporation":false,"usgs":false,"family":"Zino","given":"Francis","affiliations":[],"preferred":false,"id":709528,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Biscoito, Manuel","contributorId":196176,"corporation":false,"usgs":false,"family":"Biscoito","given":"Manuel","email":"","affiliations":[],"preferred":false,"id":709529,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Leal, Gustavo R.","contributorId":196177,"corporation":false,"usgs":false,"family":"Leal","given":"Gustavo","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":709530,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bugoni, Leandro","contributorId":196178,"corporation":false,"usgs":false,"family":"Bugoni","given":"Leandro","email":"","affiliations":[],"preferred":false,"id":709531,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":1119,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":709532,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ryan, Peter G. 0000-0002-3356-2056","orcid":"https://orcid.org/0000-0002-3356-2056","contributorId":149037,"corporation":false,"usgs":false,"family":"Ryan","given":"Peter","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":709533,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Gonzalez-Solis, Jacob","contributorId":196179,"corporation":false,"usgs":false,"family":"Gonzalez-Solis","given":"Jacob","affiliations":[],"preferred":false,"id":709534,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70194621,"text":"70194621 - 2017 - Comparison of acoustic recorders and field observers for monitoring tundra bird communities","interactions":[],"lastModifiedDate":"2018-03-29T15:57:27","indexId":"70194621","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of acoustic recorders and field observers for monitoring tundra bird communities","docAbstract":"Acoustic recorders can be useful for studying bird populations but their efficiency and accuracy should be assessed in pertinent ecological settings before use. We investigated the utility of an acoustic recorder for monitoring abundance of tundra‐breeding birds relative to point‐count surveys in northwestern Alaska, USA, during 2014. Our objectives were to 1) compare numbers of birds and species detected by a field observer with those detected simultaneously by an acoustic recorder; 2) evaluate how detection probabilities for the observer and acoustic recorder varied with distance of birds from the survey point; and 3) evaluate whether avian guild‐specific detection rates differed between field observers and acoustic recorders relative to habitat. Compared with the observer, the acoustic recorder detected fewer species (βMethod = −0.39 ± 0.07) and fewer individuals (βMethod = −0.56 ± 0.05) in total and for 6 avian guilds. Discrepancies were attributed primarily to differences in effective area surveyed (91% missed by device were >100 m), but also to nonvocal birds being missed by the recorder (55% missed <100 m were silent). The observer missed a few individuals and one species detected by the device. Models indicated that relative abundance of various avian guilds was associated primarily with maximum shrub height and less so with shrub cover and visual obstruction. The absence of a significant interaction between survey method (observer vs. acoustic recorder) and any habitat characteristic suggests that traditional point counts and acoustic recorders would yield similar inferences about ecological relationships in tundra ecosystems. Pairing of the 2 methods could increase survey efficiency and allow for validation and archival of survey results.
","language":"English","publisher":"Wiley","doi":"10.1002/wsb.785","usgsCitation":"Vold, S.T., Handel, C.M., and McNew, L.B., 2017, Comparison of acoustic recorders and field observers for monitoring tundra bird communities: Wildlife Society Bulletin, v. 41, no. 3, p. 566-576, https://doi.org/10.1002/wsb.785.","productDescription":"11 p.","startPage":"566","endPage":"576","ipdsId":"IP-076226","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":500001,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/e1da09f62c874b1b8e656f413aa1edef","text":"External Repository"},{"id":352970,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -168.519287109375,\n 64.26845392293136\n ],\n [\n -161.488037109375,\n 64.26845392293136\n ],\n [\n -161.488037109375,\n 66.67473718353055\n ],\n [\n -168.519287109375,\n 66.67473718353055\n ],\n [\n -168.519287109375,\n 64.26845392293136\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-26","publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3d6","contributors":{"authors":[{"text":"Vold, Skyler T.","contributorId":201220,"corporation":false,"usgs":false,"family":"Vold","given":"Skyler","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":724654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":724653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McNew, Lance B.","contributorId":190322,"corporation":false,"usgs":false,"family":"McNew","given":"Lance","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":724655,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70197044,"text":"70197044 - 2017 - Urban forest management in New England: Towards a contemporary understanding of tree wardens in Massachusetts communities","interactions":[],"lastModifiedDate":"2018-05-15T16:15:25","indexId":"70197044","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5687,"text":"Arboricultural Journal","active":true,"publicationSubtype":{"id":10}},"title":"Urban forest management in New England: Towards a contemporary understanding of tree wardens in Massachusetts communities","docAbstract":"In the New England states, tree wardens are local officials responsible for the preservation, maintenance and stewardship of municipal public trees. This study explores the emerging professional challenges, duties and responsibilities of tree wardens, from the subject’s point of view, by conducting in-person, semi-structured qualitative research interviews with 50 tree wardens throughout Massachusetts. Many of the findings corroborate previous literature, including that tree wardens are typically housed in a municipal department (often public works or highway), that tree wardens routinely interact with a wide variety of local organisations (representatives from other municipal departments, community volunteer associations) and that as community size increases, tree wardens typically have access to a greater pool of resources to carry out urban forest management. A newer finding is that the subject of urban forest health arose as a topic of great importance for tree wardens, as nearly all interviewees (n = 49) indicated that they monitor for urban forest pests and that they would like further continuing education concerning this subject.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/03071375.2017.1369774","usgsCitation":"Harper, R., Bloniarz, D., DeStefano, S., and Nicolson, C., 2017, Urban forest management in New England: Towards a contemporary understanding of tree wardens in Massachusetts communities: Arboricultural Journal, v. 39, no. 3, p. 162-178, https://doi.org/10.1080/03071375.2017.1369774.","productDescription":"17 p.","startPage":"162","endPage":"178","ipdsId":"IP-078318","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":354193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","volume":"39","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-13","publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3c8","contributors":{"authors":[{"text":"Harper, Richard W.","contributorId":204920,"corporation":false,"usgs":false,"family":"Harper","given":"Richard W.","affiliations":[],"preferred":false,"id":735446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bloniarz, David V.","contributorId":204921,"corporation":false,"usgs":false,"family":"Bloniarz","given":"David V.","affiliations":[],"preferred":false,"id":735447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeStefano, Stephen 0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":166706,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":735361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nicolson, Craig","contributorId":8565,"corporation":false,"usgs":true,"family":"Nicolson","given":"Craig","email":"","affiliations":[],"preferred":false,"id":735448,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70194219,"text":"70194219 - 2017 - The planetary data system","interactions":[],"lastModifiedDate":"2018-01-19T16:20:21","indexId":"70194219","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5586,"text":"Lunar and Planetary Information Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"The planetary data system","docAbstract":"In the early 1980s, the Space Science Board (SSB) of the National Research Council was concerned about the poor and inconsistent treatment of scientific information returned from NASA’s space science missions. The SSB formed a panel [The Committee on Data Management and Computation (CODMAC)] to assess the situation and make recommendations to NASA for improvements. The CODMAC panel issued a report [1,2] that led to a number of actions, one of which was the convening of a Planetary Data Workshop in November 1983 [3]. The key findings of that workshop were that (1) important datasets were being irretrievably lost, and (2) the use of planetary data by the wider community is constrained by inaccessibility and a lack of commonality in format and documentation. The report further stated, “Most participants felt the present system (of data archiving and access) is inadequate and immediate changes are necessary to insure retention of and access to these and future datasets.”
","language":"English","publisher":"Lunar and Planetary Institute","usgsCitation":"Acton, C., Slavney, S., Arvidson, R.E., Gaddis, L.R., Gordon, M., and Lavoie, S., 2017, The planetary data system: Lunar and Planetary Information Bulletin, no. 150, p. 2-11.","productDescription":"10 p.","startPage":"2","endPage":"11","ipdsId":"IP-092524","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":350070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349087,"type":{"id":15,"text":"Index Page"},"url":"https://www.lpi.usra.edu/publications/newsletters/lpib/lpib150.pdf"}],"issue":"150","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb5be4b06e28e9c22fa8","contributors":{"authors":[{"text":"Acton, Charles","contributorId":200589,"corporation":false,"usgs":false,"family":"Acton","given":"Charles","affiliations":[],"preferred":false,"id":722743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slavney, Susan","contributorId":200590,"corporation":false,"usgs":false,"family":"Slavney","given":"Susan","email":"","affiliations":[],"preferred":false,"id":722744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arvidson, Raymond E.","contributorId":106626,"corporation":false,"usgs":false,"family":"Arvidson","given":"Raymond","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":722745,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gaddis, Lisa R. 0000-0001-9953-5483 lgaddis@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-5483","contributorId":2817,"corporation":false,"usgs":true,"family":"Gaddis","given":"Lisa","email":"lgaddis@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":722742,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gordon, Mitchell","contributorId":200591,"corporation":false,"usgs":false,"family":"Gordon","given":"Mitchell","affiliations":[],"preferred":false,"id":722746,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lavoie, Susan","contributorId":200592,"corporation":false,"usgs":false,"family":"Lavoie","given":"Susan","email":"","affiliations":[],"preferred":false,"id":722747,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70196118,"text":"70196118 - 2017 - Using remote sensing to characterize and compare evapotranspiration from different irrigation regimes in the Smith River Watershed of central Montana","interactions":[],"lastModifiedDate":"2018-03-21T09:51:57","indexId":"70196118","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5656,"text":"Irrigation & Drainage Systems Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Using remote sensing to characterize and compare evapotranspiration from different irrigation regimes in the Smith River Watershed of central Montana","docAbstract":"According to the 2005 U.S. Geological Survey national water use compilation, irrigation is the second largest use of fresh water in the United States, accounting for 37%, or 484.48 million cubic meters per day, of total freshwater withdrawal. Accurately estimating the amount of water withdrawals and actual consumptive water use (the difference between water withdrawals and return flow) for irrigation at a regional scale is difficult. Remote sensing methods make it possible to compare actual ET (ETa) rates which can serve as a proxy for consumptive water use from different irrigation regimes at a regional scale in a systematic manner. This study investigates crucial components of water use from irrigation such as the difference of ETa rates from flood- and sprinkler-irrigated fields, spatial variability of ETa within a watershed, and the effect of sprinkler irrigation on the water budget of the study area. The mean accumulated ETa depth for the 1,051 square kilometer study area within the upper Smith River watershed was about 467 mm 30-meter per pixel for the 2007 growing season (April through mid-October). The total accumulated volume of ETa for the study area was about 474.705 million cubic meters. The mean accumulated ETa depth from sprinkler-irrigated land was about 687 mm and from flood-irrigated land was about 621 mm from flood-irrigated land. On average, the ETa rate from sprinkler-irrigated fields was 0.25 mm per day higher than flood-irrigated fields over the growing season. Spatial analysis showed that ETa rates within individual fields of a single crop type that are irrigated with a single method (sprinkler or flood) can vary up to about 8 mm per day. It was estimated that the amount of sprinkler irrigation in 2007 accounted for approximately 3% of the total volume of ETa in the study area. When compared to non-irrigated dryland, sprinkler irrigation increases ETa by about 59 to 82% per unit area.
","language":"English","publisher":"OMICS International","doi":"10.4172/2168-9768.1000188","usgsCitation":"Sando, R., Caldwell, R.R., and Blasch, K.W., 2017, Using remote sensing to characterize and compare evapotranspiration from different irrigation regimes in the Smith River Watershed of central Montana: Irrigation & Drainage Systems Engineering, v. 6, no. 2, p. 1-10, https://doi.org/10.4172/2168-9768.1000188.","productDescription":"Article 1000188; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-064076","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":469560,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4172/2168-9768.1000188","text":"Publisher Index Page"},{"id":352681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Smith River Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.456298828125,\n 46.25\n ],\n [\n -110.54443359375,\n 46.25\n ],\n [\n -110.54443359375,\n 46.82731489926434\n ],\n [\n -111.456298828125,\n 46.82731489926434\n ],\n [\n -111.456298828125,\n 46.25\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3cc","contributors":{"authors":[{"text":"Sando, Roy 0000-0003-0704-6258","orcid":"https://orcid.org/0000-0003-0704-6258","contributorId":3874,"corporation":false,"usgs":true,"family":"Sando","given":"Roy","email":"","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":731435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Rodney R. 0000-0002-2588-715X caldwell@usgs.gov","orcid":"https://orcid.org/0000-0002-2588-715X","contributorId":2577,"corporation":false,"usgs":true,"family":"Caldwell","given":"Rodney","email":"caldwell@usgs.gov","middleInitial":"R.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":731437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blasch, Kyle W. 0000-0002-0590-0724 kblasch@usgs.gov","orcid":"https://orcid.org/0000-0002-0590-0724","contributorId":1631,"corporation":false,"usgs":true,"family":"Blasch","given":"Kyle","email":"kblasch@usgs.gov","middleInitial":"W.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":731436,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195972,"text":"70195972 - 2017 - Application and evaluation of a rapid response earthquake-triggered landslide model to the 25 April 2015 Mw 7.8 Gorkha earthquake, Nepal","interactions":[],"lastModifiedDate":"2018-03-09T16:23:33","indexId":"70195972","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3525,"text":"Tectonophysics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Application and evaluation of a rapid response earthquake-triggered landslide model to the 25 April 2015 Mw 7.8 Gorkha earthquake, Nepal","title":"Application and evaluation of a rapid response earthquake-triggered landslide model to the 25 April 2015 Mw 7.8 Gorkha earthquake, Nepal","docAbstract":"The 25 April 2015 Mw 7.8 Gorkha earthquake produced strong ground motions across an approximately 250 km by 100 km swath in central Nepal. To assist disaster response activities, we modified an existing earthquake-triggered landslide model based on a Newmark sliding block analysis to estimate the extent and intensity of landsliding and landslide dam hazard. Landslide hazard maps were produced using Shuttle Radar Topography Mission (SRTM) digital topography, peak ground acceleration (PGA) information from the U.S. Geological Survey (USGS) ShakeMap program, and assumptions about the regional rock strength based on end-member values from previous studies. The instrumental record of seismicity in Nepal is poor, so PGA estimates were based on empirical Ground Motion Prediction Equations (GMPEs) constrained by teleseismic data and felt reports. We demonstrate a non-linear dependence of modeled landsliding on aggregate rock strength, where the number of landslides decreases exponentially with increasing rock strength. Model estimates are less sensitive to PGA at steep slopes (> 60°) compared to moderate slopes (30–60°). We compare forward model results to an inventory of landslides triggered by the Gorkha earthquake. We show that moderate rock strength inputs over estimate landsliding in regions beyond the main slip patch, which may in part be related to poorly constrained PGA estimates for this event at far distances from the source area. Directly above the main slip patch, however, the moderate strength model accurately estimates the total number of landslides within the resolution of the model (landslides ≥ 0.0162 km2; observed n = 2214, modeled n = 2987), but the pattern of landsliding differs from observations. This discrepancy is likely due to the unaccounted for effects of variable material strength and local topographic amplification of strong ground motion, as well as other simplifying assumptions about source characteristics and their relationship to landsliding.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.tecto.2016.10.031","usgsCitation":"Gallen, S.F., Clark, M., Godt, J.W., Roback, K., and Niemi, N., 2017, Application and evaluation of a rapid response earthquake-triggered landslide model to the 25 April 2015 Mw 7.8 Gorkha earthquake, Nepal: Tectonophysics, v. 714-715, p. 173-187, https://doi.org/10.1016/j.tecto.2016.10.031.","productDescription":"15 p.","startPage":"173","endPage":"187","ipdsId":"IP-078904","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":469563,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.tecto.2016.10.031","text":"Publisher Index Page"},{"id":352395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Nepal","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 84.53979492187499,\n 26.46073804319089\n ],\n [\n 86.98974609375,\n 26.46073804319089\n ],\n [\n 86.98974609375,\n 28.719496107557465\n ],\n [\n 84.53979492187499,\n 28.719496107557465\n ],\n [\n 84.53979492187499,\n 26.46073804319089\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"714-715","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3ce","contributors":{"authors":[{"text":"Gallen, Sean F.","contributorId":139683,"corporation":false,"usgs":false,"family":"Gallen","given":"Sean","email":"","middleInitial":"F.","affiliations":[{"id":12879,"text":"Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":730749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Marin K.","contributorId":139684,"corporation":false,"usgs":false,"family":"Clark","given":"Marin K.","affiliations":[{"id":12879,"text":"Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":730750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":730748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roback, Kevin","contributorId":200288,"corporation":false,"usgs":false,"family":"Roback","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":730751,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Niemi, Nathan A","contributorId":203251,"corporation":false,"usgs":false,"family":"Niemi","given":"Nathan A","affiliations":[{"id":36590,"text":"Dept. of Earth and Environmental Sciences, University of Michigan, Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":730752,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193544,"text":"70193544 - 2017 - Screening of duplicated loci reveals hidden divergence patterns in a complex salmonid genome","interactions":[],"lastModifiedDate":"2017-11-14T13:12:14","indexId":"70193544","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Screening of duplicated loci reveals hidden divergence patterns in a complex salmonid genome","docAbstract":"A whole-genome duplication (WGD) doubles the entire genomic content of a species and is thought to have catalysed adaptive radiation in some polyploid-origin lineages. However, little is known about general consequences of a WGD because gene duplicates (i.e., paralogs) are commonly filtered in genomic studies; such filtering may remove substantial portions of the genome in data sets from polyploid-origin species. We demonstrate a new method that enables genome-wide scans for signatures of selection at both nonduplicated and duplicated loci by taking locus-specific copy number into account. We apply this method to RAD sequence data from different ecotypes of a polyploid-origin salmonid (Oncorhynchus nerka) and reveal signatures of divergent selection that would have been missed if duplicated loci were filtered. We also find conserved signatures of elevated divergence at pairs of homeologous chromosomes with residual tetrasomic inheritance, suggesting that joint evolution of some nondiverged gene duplicates may affect the adaptive potential of these genes. These findings illustrate that including duplicated loci in genomic analyses enables novel insights into the evolutionary consequences of WGDs and local segmental gene duplications.
","language":"English","publisher":"Wiley","doi":"10.1111/mec.14201","usgsCitation":"Limborg, M.T., Larson, W., Seeb, L.W., and Seeb, J.E., 2017, Screening of duplicated loci reveals hidden divergence patterns in a complex salmonid genome: Molecular Ecology, v. 26, no. 17, p. 4509-4522, https://doi.org/10.1111/mec.14201.","productDescription":"14 p.","startPage":"4509","endPage":"4522","ipdsId":"IP-083394","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348823,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -170.33203125,\n 40\n ],\n [\n -107.841796875,\n 40\n ],\n [\n -107.841796875,\n 71.44117085172385\n ],\n [\n -170.33203125,\n 71.44117085172385\n ],\n [\n -170.33203125,\n 40\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"17","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-05","publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fbf","contributors":{"authors":[{"text":"Limborg, Morten T.","contributorId":199510,"corporation":false,"usgs":false,"family":"Limborg","given":"Morten","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":719317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Wesley 0000-0003-4473-3401 wlarson@usgs.gov","orcid":"https://orcid.org/0000-0003-4473-3401","contributorId":199509,"corporation":false,"usgs":true,"family":"Larson","given":"Wesley","email":"wlarson@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seeb, Lisa W.","contributorId":66008,"corporation":false,"usgs":false,"family":"Seeb","given":"Lisa","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":719318,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seeb, James E.","contributorId":87003,"corporation":false,"usgs":true,"family":"Seeb","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":719319,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189769,"text":"ofr20171095 - 2017 - Results of hydrologic monitoring on landslide-prone coastal bluffs near Mukilteo, Washington","interactions":[],"lastModifiedDate":"2017-08-31T11:32:02","indexId":"ofr20171095","displayToPublicDate":"2017-08-31T12:00:00","publicationYear":"2017","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":"2017-1095","title":"Results of hydrologic monitoring on landslide-prone coastal bluffs near Mukilteo, Washington","docAbstract":"A hydrologic monitoring network was installed to investigate landslide hazards affecting the railway corridor along the eastern shore of Puget Sound between Seattle and Everett, near Mukilteo, Washington. During the summer of 2015, the U.S. Geological Survey installed monitoring equipment at four sites equipped with instrumentation to measure rainfall and air temperature every 15 minutes. Two of the four sites are installed on contrasting coastal bluffs, one landslide scarred and one vegetated. At these two sites, in addition to rainfall and air temperature, volumetric water content, pore pressure, soil suction, soil temperature, and barometric pressure were measured every 15 minutes. The instrumentation was designed to supplement landslide-rainfall thresholds developed by the U.S. Geological Survey with a long-term goal of advancing the understanding of the relationship between landslide potential and hydrologic forcing along the coastal bluffs. Additionally, the system was designed to function as a prototype monitoring system to evaluate criteria for site selection, instrument selection, and placement of instruments. The purpose of this report is to describe the monitoring system, present the data collected since installation, and describe significant events represented within the dataset, which is published as a separate data release. The findings provide insight for building and configuring larger, modular monitoring networks.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171095","collaboration":"Prepared as part of a Technical Assistance Agreement with Sound Transit","usgsCitation":"Smith, J.B., Baum, R.L., Mirus, B.B., Michel, A.R., and Stark, B., 2017, Results of hydrologic monitoring on landslide-prone coastal bluffs near Mukilteo, Washington: U.S. Geological Survey Open-File Report 2017–1095, 48 p., https://doi.org/10.3133/ofr20171095.","productDescription":"Report: vii, 48 p.; Data Release","numberOfPages":"60","onlineOnly":"Y","ipdsId":"IP-086276","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":345113,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1095/ofr20171095.pdf","text":"Report","size":"4.69 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1095"},{"id":345112,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1095/coverthb.jpg"},{"id":345114,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NZ85WX","text":"USGS Data Release","description":"USGS data release","linkHelpText":"Results of hydrologic monitoring on landslide-prone coastal bluffs near Mukilteo, Washington"}],"country":"United States","state":"Washington","city":"Mukilteo","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.35748291015625,\n 47.87352572966863\n ],\n [\n -122.29225158691406,\n 47.87352572966863\n ],\n [\n -122.29225158691406,\n 47.954064687296885\n ],\n [\n -122.35748291015625,\n 47.954064687296885\n ],\n [\n -122.35748291015625,\n 47.87352572966863\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Geologic Hazards Science Center
U.S. Geological Survey
Box 25046, MS-966
Denver, CO 80225
In the USA, climate change is expected to have an adverse impact on slope stability in Alaska. However, to date, there has been limited work done in Alaska to assess if changes in slope stability are occurring. To address this issue, we used 30-m Landsat imagery acquired from 1984 to 2016 to establish an inventory of 24 rock avalanches in a 5000-km2 area of Glacier Bay National Park and Preserve in southeast Alaska. A search of available earthquake catalogs revealed that none of the avalanches were triggered by earthquakes. Analyses of rock-avalanche magnitude, mobility, and frequency reveal a cluster of large (areas ranging from 5.5 to 22.2 km2), highly mobile (height/length < 0.3) rock avalanches that occurred from June 2012 through June 2016 (near the end of the 33-year period of record). These rock avalanches began about 2 years after the long-term trend in mean annual maximum air temperature may have exceeded 0 °C. Possibly more important, most of these rock avalanches occurred during a multiple-year period of record-breaking warm winter and spring air temperatures. These observations suggested to us that rock avalanches in the study area may be becoming larger because of rock-permafrost degradation. However, other factors, such as accumulating elastic strain, glacial thinning, and increased precipitation, may also play an important role in preconditioning slopes for failure during periods of warm temperatures.
","language":"English","publisher":"Springer","doi":"10.1007/s10346-017-0879-7","usgsCitation":"Coe, J.A., Bessette-Kirton, E., and Geertsema, M., 2017, Increasing rock-avalanche size and mobility in Glacier Bay National Park and Preserve, Alaska detected from 1984 to 2016 Landsat imagery: Landslides, v. 15, no. 3, p. 393-407, https://doi.org/10.1007/s10346-017-0879-7.","productDescription":"15 p.","startPage":"393","endPage":"407","ipdsId":"IP-084975","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":469574,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10346-017-0879-7","text":"Publisher Index Page"},{"id":370107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Glacier Bay National Park and Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -138.504638671875,\n 58.10110549730587\n ],\n [\n -135.6427001953125,\n 58.10110549730587\n ],\n [\n -135.6427001953125,\n 59.14213494974261\n ],\n [\n -138.504638671875,\n 59.14213494974261\n ],\n [\n -138.504638671875,\n 58.10110549730587\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":708745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bessette-Kirton, Erin 0000-0002-2797-0694 ebessette-kirton@usgs.gov","orcid":"https://orcid.org/0000-0002-2797-0694","contributorId":177153,"corporation":false,"usgs":true,"family":"Bessette-Kirton","given":"Erin","email":"ebessette-kirton@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":708746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Geertsema, M. 0000-0002-4650-8251","orcid":"https://orcid.org/0000-0002-4650-8251","contributorId":167412,"corporation":false,"usgs":false,"family":"Geertsema","given":"M.","affiliations":[],"preferred":false,"id":708747,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70190337,"text":"70190337 - 2017 - Late Quaternary environmental dynamics in the Atacama Desert reconstructed from rodent midden pollen records","interactions":[],"lastModifiedDate":"2018-03-29T12:45:16","indexId":"70190337","displayToPublicDate":"2017-08-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2437,"text":"Journal of Quaternary Science","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary environmental dynamics in the Atacama Desert reconstructed from rodent midden pollen records","docAbstract":"In the past two decades, much has been learned about the late Quaternary climate history of the Atacama Desert with some details still unclear about the seasonality, timing and extent of wet and dry phases. Modern climate studies reveal that, far from exhibiting a unique pattern, seasonal precipitation originates from many sources and mechanisms. For the last 16 ka, we attempt to sort out these complexities in pollen records from four fossil rodent midden series spanning 22°–25°S in northern Chile. Widespread wet conditions prevailed during the late Pleistocene and early Holocene, particularly between 13 and 9 ka, evidenced by <400 m lowering of pollen zones (plant communities) compared to today. Regional differences in the timing and magnitude of this displacement may be related to the prevailing source (tropical/extra‐tropical) or mode (NNW/SE) of tropical precipitation through time. Wet conditions persisted well into the early Holocene, lasting ∼1–1.5 ka longer than previously suggested. The pollen record suggests extreme drying ∼8 ka, possibly associated with a northward shift of the Inter Tropical Convergence Zone, tracking minimum insolation values at subtropical latitudes during the austral summer. The establishment of conditions similar to today happened ∼4 ka.
","language":"English","publisher":"Wiley","doi":"10.1002/jqs.2980","usgsCitation":"de Porras, M., Maldonado, A., De Pol-Holz, R., Latorre, C., and Betancourt, J.L., 2017, Late Quaternary environmental dynamics in the Atacama Desert reconstructed from rodent midden pollen records: Journal of Quaternary Science, v. 32, no. 6, p. 665-684, https://doi.org/10.1002/jqs.2980.","productDescription":"20 p.","startPage":"665","endPage":"684","ipdsId":"IP-087325","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":352938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Atacama Desert ","volume":"32","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-22","publicationStatus":"PW","scienceBaseUri":"5afee805e4b0da30c1bfc3e0","contributors":{"authors":[{"text":"de Porras, M.E.","contributorId":195882,"corporation":false,"usgs":false,"family":"de Porras","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":708574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maldonado, A.","contributorId":195883,"corporation":false,"usgs":false,"family":"Maldonado","given":"A.","email":"","affiliations":[],"preferred":false,"id":708575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Pol-Holz, R.","contributorId":195884,"corporation":false,"usgs":false,"family":"De Pol-Holz","given":"R.","email":"","affiliations":[],"preferred":false,"id":708576,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Latorre, C.","contributorId":195885,"corporation":false,"usgs":false,"family":"Latorre","given":"C.","affiliations":[],"preferred":false,"id":708577,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":708573,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70190432,"text":"70190432 - 2017 - Lessons from the Tōhoku tsunami: A model for island avifauna conservation prioritization","interactions":[],"lastModifiedDate":"2018-01-08T14:36:12","indexId":"70190432","displayToPublicDate":"2017-08-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Lessons from the Tōhoku tsunami: A model for island avifauna conservation prioritization","docAbstract":"Earthquake-generated tsunamis threaten coastal areas and low-lying islands with sudden flooding. Although human hazards and infrastructure damage have been well documented for tsunamis in recent decades, the effects on wildlife communities rarely have been quantified. We describe a tsunami that hit the world's largest remaining tropical seabird rookery and estimate the effects of sudden flooding on 23 bird species nesting on Pacific islands more than 3,800 km from the epicenter. We used global positioning systems, tide gauge data, and satellite imagery to quantify characteristics of the Tōhoku earthquake-generated tsunami (11 March 2011) and its inundation extent across four Hawaiian Islands. We estimated short-term effects of sudden flooding to bird communities using spatially explicit data from Midway Atoll and Laysan Island, Hawai'i. We describe variation in species vulnerability based on breeding phenology, nesting habitat, and life history traits. The tsunami inundated 21%–100% of each island's area at Midway Atoll and Laysan Island. Procellariformes (albatrosses and petrels) chick and egg losses exceeded 258,500 at Midway Atoll while albatross chick losses at Laysan Island exceeded 21,400. The tsunami struck at night and during the peak of nesting for 14 colonial seabird species. Strongly philopatric Procellariformes were vulnerable to the tsunami. Nonmigratory, endemic, endangered Laysan Teal (Anas laysanensis) were sensitive to ecosystem effects such as habitat changes and carcass-initiated epizootics of avian botulism, and its populations declined approximately 40% on both atolls post-tsunami. Catastrophic flooding of Pacific islands occurs periodically not only from tsunamis, but also from storm surge and rainfall; with sea-level rise, the frequency of sudden flooding events will likely increase. As invasive predators occupy habitat on higher elevation Hawaiian Islands and globally important avian populations are concentrated on low-lying islands, additional conservation strategies may be warranted to increase resilience of island biodiversity encountering tsunamis and rising sea levels.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3092","usgsCitation":"Reynolds, M.H., Berkowitz, P., Klavitter, J., and Courtot, K., 2017, Lessons from the Tōhoku tsunami: A model for island avifauna conservation prioritization: Ecology and Evolution, v. 7, no. 13, p. 5873-5890, https://doi.org/10.1002/ece3.3092.","productDescription":"18 p.","startPage":"5873","endPage":"5890","ipdsId":"IP-079977","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":469575,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3092","text":"Publisher Index Page"},{"id":438232,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F708647F","text":"USGS data release","linkHelpText":"Northwestern Hawaiian Islands: Impacts to Avifauna from the Tohoku Tsunami 2011"},{"id":345381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"13","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-22","publicationStatus":"PW","scienceBaseUri":"59a9203fe4b07e1a023ccd9c","contributors":{"authors":[{"text":"Reynolds, Michelle H. 0000-0001-7253-8158 mreynolds@usgs.gov","orcid":"https://orcid.org/0000-0001-7253-8158","contributorId":3871,"corporation":false,"usgs":true,"family":"Reynolds","given":"Michelle","email":"mreynolds@usgs.gov","middleInitial":"H.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":709125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berkowitz, Paul","contributorId":192592,"corporation":false,"usgs":false,"family":"Berkowitz","given":"Paul","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":709126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klavitter, John","contributorId":196052,"corporation":false,"usgs":false,"family":"Klavitter","given":"John","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":709127,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Courtot, Karen 0000-0002-8849-4054 kcourtot@usgs.gov","orcid":"https://orcid.org/0000-0002-8849-4054","contributorId":140002,"corporation":false,"usgs":true,"family":"Courtot","given":"Karen","email":"kcourtot@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":709128,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70190429,"text":"70190429 - 2017 - Long-term dynamics and characteristics of snags created for wildlife habitat","interactions":[],"lastModifiedDate":"2017-11-22T16:50:20","indexId":"70190429","displayToPublicDate":"2017-08-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Long-term dynamics and characteristics of snags created for wildlife habitat","docAbstract":"Snags provide essential habitat for numerous organisms and are therefore critical to the long-term maintenance of forest biodiversity. Resource managers often use snag creation to mitigate the purposeful removal of snags at the time of harvest, but information regarding how created snags change over long timescales (>20 y) is absent from the literature. In this study, we evaluated the extent to which characteristics of large (>30 cm diameter at breast height [DBH]) Douglas-fir (Pseudotsuga menziesii) snags created by topping had changed after 25–27 y. We also tested whether different harvest treatments and snag configurations influenced present-day snag characteristics. Of 690 snags created in 1989–1991, 91% remained standing during contemporary surveys and 65% remained unbroken along the bole. Although most snags were standing, we detected increased bark loss and breaking along the bole relative to prior surveys conducted on the same pool of snags. Although snag characteristics were not strongly influenced by snag configuration, we found that snags in one harvest treatment (group selection) experienced less bark loss and had lower evidence of use by cavity-nesting birds (as measured by total cavity cover) relative to snags created with clearcut and two-story harvest treatments. Our results indicate that Douglas-fir snags created by topping can remain standing for long time-periods (≥25 y) in managed forests, and that the influence of harvest treatment on decay patterns and subsequent use by wildlife is an important consideration when intentionally creating snags for wildlife habitat.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2017.07.049","usgsCitation":"Barry, A.M., Hagar, J., and Rivers, J.W., 2017, Long-term dynamics and characteristics of snags created for wildlife habitat: Forest Ecology and Management, v. 403, no. 1, p. 145-151, https://doi.org/10.1016/j.foreco.2017.07.049.","productDescription":"7 p.","startPage":"145","endPage":"151","ipdsId":"IP-087640","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469576,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2017.07.049","text":"Publisher Index Page"},{"id":438231,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75M64MC","text":"USGS data release","linkHelpText":"Created snag characteristics and cavity-nesting bird associations in the CFIRP stands, McDonald-Dunn Research Forest, Corvallis, OR, USA, 2016"},{"id":345380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"403","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59a9203fe4b07e1a023ccda0","contributors":{"authors":[{"text":"Barry, Amy M.","contributorId":196050,"corporation":false,"usgs":false,"family":"Barry","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":7005,"text":"Department of Forest Ecosystems and Society, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":709119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hagar, Joan 0000-0002-3044-6607 joan_hagar@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-6607","contributorId":3369,"corporation":false,"usgs":true,"family":"Hagar","given":"Joan","email":"joan_hagar@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":709118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rivers, James W.","contributorId":23072,"corporation":false,"usgs":false,"family":"Rivers","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":7005,"text":"Department of Forest Ecosystems and Society, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":709120,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70197038,"text":"70197038 - 2017 - Hydrologic regimes as potential drivers of morphologic divergence in fish","interactions":[],"lastModifiedDate":"2018-05-15T08:50:08","indexId":"70197038","displayToPublicDate":"2017-08-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1603,"text":"Evolutionary Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic regimes as potential drivers of morphologic divergence in fish","docAbstract":"Fishes often exhibit phenotypic divergence across gradients of abiotic and biotic selective pressures. In streams, many of the known selective pressures driving phenotypic differentiation are largely influenced by hydrologic regimes. Because flow regimes drive so many attributes of lotic systems, we hypothesized fish exhibit phenotypic divergence among streams with different flow regimes. We used a comparative field study to investigate the morphological divergence of Campostoma anomalom (central stonerollers) among streams characterized by highly variable, intermittent flow regimes and streams characterized by relatively stable, groundwater flow regimes. We also conducted a mesocosm experiment to compare the plastic effects of one component of flow regimes, water velocity, on morphology of fish from different flow regimes. We observed differences in shape between flow regimes likely driven by differences in allometric growth patterns. Although we observed differences in morphology across flow regimes in the field, C. anomalum did not exhibit morphologic plasticity in response to water velocity alone. This study contributes to the understanding of how complex environmental factors drive phenotypic divergence and may provide insight into the evolutionary consequences of disrupting natural hydrologic patterns, which are increasingly threatened by climate change and anthropogenic alterations.
","language":"English","publisher":"Springer International","doi":"10.1007/s10682-017-9897-0","usgsCitation":"Bruckerhoff, L., and Magoulick, D.D., 2017, Hydrologic regimes as potential drivers of morphologic divergence in fish: Evolutionary Ecology, v. 31, no. 4, p. 517-531, https://doi.org/10.1007/s10682-017-9897-0.","productDescription":"14 p.","startPage":"517","endPage":"531","ipdsId":"IP-073023","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-28","publicationStatus":"PW","scienceBaseUri":"5afee805e4b0da30c1bfc3de","contributors":{"authors":[{"text":"Bruckerhoff, Lindsey","contributorId":204873,"corporation":false,"usgs":false,"family":"Bruckerhoff","given":"Lindsey","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":735327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":735326,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70190442,"text":"70190442 - 2017 - Extension of the analytical window for characterizing aromatic compounds in oils using a comprehensive suite of high-resolution mass spectrometry techniques and double bond equivalence versus carbon number plot","interactions":[],"lastModifiedDate":"2017-08-31T12:20:21","indexId":"70190442","displayToPublicDate":"2017-08-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1506,"text":"Energy & Fuels","active":true,"publicationSubtype":{"id":10}},"title":"Extension of the analytical window for characterizing aromatic compounds in oils using a comprehensive suite of high-resolution mass spectrometry techniques and double bond equivalence versus carbon number plot","docAbstract":"In this study, comprehensive two-dimensional (2D) gas chromatography–mass spectrometry (GC–MS), atmospheric pressure photoionization (APPI) quadrupole-Orbitrap mass spectrometry (MS), and Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) were used to study the aromatic fractions of crude oil and oil shale pyrolysates (shale oils). The collected data were compared and combined in the double bond equivalence (DBE) versus carbon number plot to obtain a more complete understanding of the composition of the oil fractions. The numbers of peaks observed by each technique followed the order 2D GC–MS < Orbitrap MS < FT-ICR MS. The class distributions observed by Orbitrap MS and FT-ICR MS were similar to each other but different from that observed by 2D GC–MS. The DBE and carbon number distributions of the 2D GC–MS and Orbitrap MS data were similar for crude oil aromatics. The FT-ICR MS plots of DBE and carbon number showed an extended range of higher values relative to the other methods. For the aromatic fraction of an oil shale pyrolysate generated by the Fischer assay, only a few nitrogen-containing compounds were observed by 2D GC–MS but a large number of these compounds were detected by Orbitrap MS and FT-ICR MS. This comparison clearly shows that the data obtained from these three techniques can be combined to more completely characterize oil composition. The data obtained by Orbitrap MS and FT-ICR MS agreed well with one another, and the combined DBE versus carbon number plot provided more complete coverage of compounds present in the fractions. In addition, the chemical structure information provided by 2D GC–MS could be matched with the chemical formulas in the DBE versus carbon number plots, providing information not available in ultrahigh-resolution MS results. It was therefore concluded that the combination of 2D GC–MS, Orbitrap MS, and FT-ICR MS in the DBE versus carbon number space facilitates structural assignment of heavy oil components.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.energyfuels.7b00962","usgsCitation":"Cho, Y., Birdwell, J.E., Hur, M., Lee, J., Kim, B., and Kim, S., 2017, Extension of the analytical window for characterizing aromatic compounds in oils using a comprehensive suite of high-resolution mass spectrometry techniques and double bond equivalence versus carbon number plot: Energy & Fuels, v. 31, no. 8, p. 7874-7883, https://doi.org/10.1021/acs.energyfuels.7b00962.","productDescription":"10 p.","startPage":"7874","endPage":"7883","ipdsId":"IP-085425","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":345390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-20","publicationStatus":"PW","scienceBaseUri":"59a9203ee4b07e1a023ccd99","contributors":{"authors":[{"text":"Cho, Yunju","contributorId":127785,"corporation":false,"usgs":false,"family":"Cho","given":"Yunju","email":"","affiliations":[{"id":7153,"text":"Kyungpook National University, Department of Chemistry, Daegu, South Korea","active":true,"usgs":false}],"preferred":false,"id":709161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":709160,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hur, Manhoi","contributorId":177161,"corporation":false,"usgs":false,"family":"Hur","given":"Manhoi","email":"","affiliations":[],"preferred":false,"id":709164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, Joonhee","contributorId":196065,"corporation":false,"usgs":false,"family":"Lee","given":"Joonhee","email":"","affiliations":[],"preferred":false,"id":709165,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kim, Byungjoo","contributorId":196063,"corporation":false,"usgs":false,"family":"Kim","given":"Byungjoo","email":"","affiliations":[],"preferred":false,"id":709162,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kim, Sunghwan","contributorId":196064,"corporation":false,"usgs":false,"family":"Kim","given":"Sunghwan","email":"","affiliations":[],"preferred":false,"id":709163,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}