{"pageNumber":"923","pageRowStart":"23050","pageSize":"25","recordCount":184617,"records":[{"id":70194472,"text":"70194472 - 2017 - Progress and lessons learned from water-quality monitoring networks","interactions":[],"lastModifiedDate":"2017-11-30T10:00:52","indexId":"70194472","displayToPublicDate":"2017-11-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5570,"text":"Chemistry and Water","active":true,"publicationSubtype":{"id":24}},"title":"Progress and lessons learned from water-quality monitoring networks","docAbstract":"<p><span>Stream-quality monitoring networks in the United States were initiated and expanded after passage of successive federal water-pollution control laws from 1948 to 1972. The first networks addressed information gaps on the extent and severity of stream pollution and served as early warning systems for spills. From 1965 to 1972, monitoring networks expanded to evaluate compliance with stream standards, track emerging issues, and assess water-quality status and trends. After 1972, concerns arose regarding the ability of monitoring networks to determine if water quality was getting better or worse and why. As a result, monitoring networks adopted a hydrologic systems approach targeted to key water-quality issues, accounted for human and natural factors affecting water quality, innovated new statistical methods, and introduced geographic information systems and models that predict water quality at unmeasured locations. Despite improvements, national-scale monitoring networks have declined over time. Only about 1%, or 217, of more than 36,000&nbsp;US Geological Survey monitoring sites sampled from 1975 to 2014 have been operated throughout the four decades since passage of the 1972 Clean Water Act. Efforts to sustain monitoring networks are important because these networks have collected information crucial to the description of water-quality trends over time and are providing information against which to evaluate future trends.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The science behind sustaining the world's most crucial resource","language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-809330-6.00002-7","usgsCitation":"Myers, D.N., and Ludtke, A.S., 2017, Progress and lessons learned from water-quality monitoring networks, chap. <i>of</i> The science behind sustaining the world's most crucial resource: Chemistry and Water, p. 23-120, https://doi.org/10.1016/B978-0-12-809330-6.00002-7.","productDescription":"98 p.","startPage":"23","endPage":"120","ipdsId":"IP-079349","costCenters":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"links":[{"id":349508,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fafce4b06e28e9c22a92","contributors":{"authors":[{"text":"Myers, Donna N. 0000-0001-6359-2865 dnmyers@usgs.gov","orcid":"https://orcid.org/0000-0001-6359-2865","contributorId":512,"corporation":false,"usgs":true,"family":"Myers","given":"Donna","email":"dnmyers@usgs.gov","middleInitial":"N.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":723988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ludtke, Amy S. asludtke@usgs.gov","contributorId":4735,"corporation":false,"usgs":true,"family":"Ludtke","given":"Amy","email":"asludtke@usgs.gov","middleInitial":"S.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":723989,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193649,"text":"70193649 - 2017 - Volcanic ash and aviation–The challenges of real-time, global communication of a natural hazard","interactions":[],"lastModifiedDate":"2017-11-29T14:15:44","indexId":"70193649","displayToPublicDate":"2017-11-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Volcanic ash and aviation–The challenges of real-time, global communication of a natural hazard","docAbstract":"More than 30 years after the first major aircraft encounters with volcanic ash over Indonesia in 1982, it remains challenging to inform aircraft in flight of the exact location of potentially dangerous ash clouds on their flight path, particularly shortly after the eruption has occurred. The difficulties include reliably forecasting and detecting the onset of significant explosive eruptions on a global basis, observing the dispersal of eruption clouds in real time, capturing their complex structure and constituents in atmospheric transport models, describing these observations and modelling results in a manner suitable for aviation users, delivering timely warning messages to the cockpit, flight planners and air traffic management systems, and the need for scientific development in order to undertake operational enhancements. The framework under which these issues are managed is the International Airways Volcano Watch (IAVW), administered by the International Civil Aviation Organization (ICAO). \nICAO outlines in its standards and recommended practices (International Civil Aviation Organization, 2014) the basic volcanic monitoring and communication that is necessary at volcano observatories in Member States (countries). However, not all volcanoes are monitored and not all countries with volcanoes have mandated volcano observatories or equivalents. To add to the efforts of volcano observatories, a system of Meteorological Watch Offices, Air Traffic Management Area Control Centres, and nine specialist Volcanic Ash Advisory Centres (VAACs) are responsible for observing, analysing, forecasting and communicating the aviation hazard (airborne ash), using agreed techniques and messages in defined formats. Continuous improvement of the IAVW framework is overseen by expert groups representing the operators of the system, the user community, and the science community. The IAVW represents a unique marriage of two scientific disciplines - volcanology and meteorology - with the aviation user community. \nThere have been many multifaceted volcanic eruptions in complex meteorological conditions during the history of the IAVW. Each new eruption brings new insights into how the warning system can be improved, and each reinforces the lessons that have gone before. The management of these events has improved greatly since the major ash encounters in the 1980s, but discontinuities in the warning and communications system still occur. A good example is a 2014 ash encounter over Indonesia following the eruption of Kelut where the warnings did not reach the aircraft crew. Other events present enormous management challenges – for example the 2010 Eyjafjallajökull eruption in Iceland was, overall, less hazardous than many less publicised eruptions, but numerous small to moderate explosions over several weeks produced widespread disruption and a large economic impact. \nAt the time of writing, while there has been hundreds of millions of US dollars in damage to aircraft from encounters with ash, there have been no fatalities resulting from aviation incidents in, or proximal to volcanic ash cloud. This reflects, at least in part, the hard work done in putting together a global warning system - although to some extent it also reflects a measure of good statistical fortune. \nIn order to minimise the risk of aircraft encounters with volcanic ash clouds, the global effort continues. The future priorities for the IAVW are strongly focused on enhancing communication before, and at the very onset of a volcanic ash-producing event (typically the more dangerous stage), together with improved downstream information and warning systems to help reduce the economic impact of eruptions on aviation.","largerWorkTitle":"Advances in Volcanology","language":"English","publisher":"Springer","doi":"10.1007/11157_2016_49","usgsCitation":"Lechner, P., Tupper, A.C., Guffanti, M.C., Loughlin, S., and Casadevall, T., 2017, Volcanic ash and aviation–The challenges of real-time, global communication of a natural hazard, chap. <i>of</i> Advances in Volcanology, p. 1 -14, https://doi.org/10.1007/11157_2016_49.","productDescription":"14 p.","startPage":"1 ","endPage":"14","ipdsId":"IP-066192","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":487267,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/11157_2016_49","text":"Publisher Index Page"},{"id":349556,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-04","publicationStatus":"PW","scienceBaseUri":"5a60fafde4b06e28e9c22aa4","contributors":{"authors":[{"text":"Lechner, Peter","contributorId":199685,"corporation":false,"usgs":false,"family":"Lechner","given":"Peter","email":"","affiliations":[],"preferred":false,"id":719753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tupper, Andrew C.","contributorId":189115,"corporation":false,"usgs":false,"family":"Tupper","given":"Andrew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":719754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guffanti, Marianne C. guffanti@usgs.gov","contributorId":641,"corporation":false,"usgs":true,"family":"Guffanti","given":"Marianne","email":"guffanti@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719752,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loughlin, Sue","contributorId":199686,"corporation":false,"usgs":false,"family":"Loughlin","given":"Sue","email":"","affiliations":[],"preferred":false,"id":719755,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casadevall, Thomas","contributorId":199687,"corporation":false,"usgs":false,"family":"Casadevall","given":"Thomas","affiliations":[],"preferred":false,"id":719756,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193408,"text":"70193408 - 2017 - Concepts and practices: Estimating abundance of prey species using hierarchical model-based approaches","interactions":[],"lastModifiedDate":"2017-11-30T10:12:37","indexId":"70193408","displayToPublicDate":"2017-11-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Concepts and practices: Estimating abundance of prey species using hierarchical model-based approaches","docAbstract":"Tigers predominantly prey on large ungulate species, such as sambar (Cervus unicolor), red deer (Cervus elaphus), gaur (Bos gaurus), banteng (Bos javanicus), chital (Axis axis), muntjac (Muntiacus muntjak), wild pig (Sus scrofa), and bearded pig (Sus barbatus). The density of a tiger population is strongly correlated with the density of such prey species (Karanth et al. 2004). In the absence of direct hunting of tigers, abundance of prey in an area is the key determinant of the “carrying capacity” of that area for tigers (Chap. 2). Accurate estimates of prey abundance are often needed to assess the potential number of tigers a conservation area can support.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Methods for monitoring tiger and prey populations","language":"English","publisher":"Springer","doi":"10.1007/978-981-10-5436-5_8","usgsCitation":"Dorazio, R., Kumar, N.S., Royle, A., and Gopalaswamy, A.M., 2017, Concepts and practices: Estimating abundance of prey species using hierarchical model-based approaches, chap. <i>of</i> Methods for monitoring tiger and prey populations, p. 137-162, https://doi.org/10.1007/978-981-10-5436-5_8.","productDescription":"26 p.","startPage":"137","endPage":"162","ipdsId":"IP-083542","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":349571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-28","publicationStatus":"PW","scienceBaseUri":"5a60fafee4b06e28e9c22ab2","contributors":{"authors":[{"text":"Dorazio, Robert 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":172151,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"preferred":true,"id":718927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kumar, N. Samba","contributorId":199393,"corporation":false,"usgs":false,"family":"Kumar","given":"N.","email":"","middleInitial":"Samba","affiliations":[],"preferred":false,"id":718928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":718929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gopalaswamy, Arjun M.","contributorId":199394,"corporation":false,"usgs":false,"family":"Gopalaswamy","given":"Arjun","email":"","middleInitial":"M.","affiliations":[{"id":35775,"text":"Indian Statistical Institute, Bangalore, India","active":true,"usgs":false},{"id":20302,"text":"Univeristy of Oxford","active":true,"usgs":false}],"preferred":false,"id":718930,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193651,"text":"70193651 - 2017 - Role of social media and networking in volcanic crises and communication","interactions":[],"lastModifiedDate":"2017-11-29T14:12:51","indexId":"70193651","displayToPublicDate":"2017-11-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Role of social media and networking in volcanic crises and communication","docAbstract":"The growth of social media as a primary and often preferred news source has contributed to the rapid dissemination of information about volcanic eruptions and potential volcanic crises as an eruption begins. Information about volcanic activity comes from a variety of sources: news organisations, emergency management personnel, individuals (both public and official) and volcano monitoring agencies. Once posted, this information is easily shared, increasing the reach to a much broader population than the original audience. The onset and popularity of social media as a vehicle for eruption information dissemination has presented many benefits as well as challenges, and points towards a need for a more unified system for information. This includes volcano observatories using social media as an official channels to distribute activity statements, forecasts and predictions on social media, in addition to the archiving of images and data activity. This chapter looks at two examples of projects that collect / disseminate information regarding volcanic crises and eruptive activity utilizing social media sources. Based on those examples, recommendations are made to volcanic observatories in relation to the use of social media as a two-way communication tool. These recommendations include: using social media as a two-way dialogue to communicate and receive information directly from the public and other sources; stating that the social media account is from an official source; and, posting types of information that the public are seeking such as images, videos and figures.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Advances in Volcanology","language":"English","publisher":"Springer","doi":"10.1007/11157_2015_13","usgsCitation":"Sennert, S.K., Klemetti, E.W., and Bird, D., 2017, Role of social media and networking in volcanic crises and communication, chap. <i>of</i> Advances in Volcanology, p. 1-12, https://doi.org/10.1007/11157_2015_13.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-066483","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":487306,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/11157_2015_13","text":"Publisher Index Page"},{"id":349555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-26","publicationStatus":"PW","scienceBaseUri":"5a60fafde4b06e28e9c22aa1","contributors":{"authors":[{"text":"Sennert, Sally K. ssennert@usgs.gov","contributorId":5459,"corporation":false,"usgs":true,"family":"Sennert","given":"Sally","email":"ssennert@usgs.gov","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klemetti, Erik W.","contributorId":139092,"corporation":false,"usgs":false,"family":"Klemetti","given":"Erik","email":"","middleInitial":"W.","affiliations":[{"id":12650,"text":"Denison University","active":true,"usgs":false}],"preferred":false,"id":719759,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bird, Deanne","contributorId":199688,"corporation":false,"usgs":false,"family":"Bird","given":"Deanne","email":"","affiliations":[],"preferred":false,"id":719760,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194477,"text":"70194477 - 2017 - The hyper-enrichment of V and Zn in black shales of the Late Devonian-Early Mississippian Bakken Formation (USA)","interactions":[],"lastModifiedDate":"2018-11-19T11:34:54","indexId":"70194477","displayToPublicDate":"2017-11-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"The hyper-enrichment of V and Zn in black shales of the Late Devonian-Early Mississippian Bakken Formation (USA)","docAbstract":"<p><span>Black shales of the Late Devonian to Early Mississippian Bakken Formation are characterized by high concentrations of organic carbon and the hyper-enrichment (&gt;</span><span>&nbsp;</span><span>500 to 1000s of mg/kg) of V and Zn. Deposition of black shales resulted from shallow seafloor depths that promoted rapid development of euxinic conditions. Vanadium hyper-enrichments, which are unknown in modern environments, are likely the result of very high levels of dissolved H</span><sub>2</sub><span>S (~</span><span>&nbsp;</span><span>10</span><span>&nbsp;</span><span>mM) in bottom waters or sediments. Because modern hyper-enrichments of Zn are documented only in Framvaren Fjord (Norway), it is likely that the biogeochemical trigger responsible for Zn hyper-enrichment in Framvaren Fjord was also present in the Bakken basin. With Framvaren Fjord as an analogue, we propose a causal link between the activity of phototrophic sulfide oxidizing bacteria, related to the development of photic-zone euxinia, and the hyper-enrichment of Zn in black shales of the Bakken Formation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2017.01.026","usgsCitation":"Scott, C., Slack, J.F., and Kelley, K.D., 2017, The hyper-enrichment of V and Zn in black shales of the Late Devonian-Early Mississippian Bakken Formation (USA): Chemical Geology, v. 452, p. 24-33, https://doi.org/10.1016/j.chemgeo.2017.01.026.","productDescription":"10 p.","startPage":"24","endPage":"33","ipdsId":"IP-078833","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":461343,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemgeo.2017.01.026","text":"Publisher Index Page"},{"id":349501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Manitoba, Montana, North Dakota, Saskatchewan, South Dakota, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108,\n              43\n            ],\n            [\n              -96,\n              43\n            ],\n            [\n              -96,\n              50\n            ],\n            [\n              -108,\n              50\n            ],\n            [\n              -108,\n              43\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"452","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fafce4b06e28e9c22a87","contributors":{"authors":[{"text":"Scott, Clint 0000-0003-2778-2711 clintonscott@usgs.gov","orcid":"https://orcid.org/0000-0003-2778-2711","contributorId":5332,"corporation":false,"usgs":true,"family":"Scott","given":"Clint","email":"clintonscott@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":724012,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":724013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelley, Karen Duttweiler 0000-0002-3232-5809 kdkelley@usgs.gov","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":192758,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen","email":"kdkelley@usgs.gov","middleInitial":"Duttweiler","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":724014,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194331,"text":"70194331 - 2017 - Polar bears, Ursus maritimus","interactions":[],"lastModifiedDate":"2017-11-30T10:10:13","indexId":"70194331","displayToPublicDate":"2017-11-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"displayTitle":"Polar bears, <i>Ursus maritimus</i>","title":"Polar bears, Ursus maritimus","docAbstract":"Polar bears are the largest of the eight species of bears found worldwide and are covered in a pigment-free fur giving them the appearance of being white.  They are the most carnivorous of bear species consuming a high-fat diet, primarily of ice-associated seals and other marine mammals.  They range throughout the circumpolar Arctic to the southernmost extent of seasonal pack ice.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of marine mammals","language":"English","publisher":"Academic Press","isbn":"9780128043271","usgsCitation":"Rode, K.D., and Stirling, I., 2017, Polar bears, Ursus maritimus, chap. <i>of</i> Encyclopedia of marine mammals, p. 743-746.","productDescription":"4 p.","startPage":"743","endPage":"746","ipdsId":"IP-076113","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":349524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349523,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.elsevier.com/books/encyclopedia-of-marine-mammals/wursig/978-0-12-804327-1"}],"edition":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fafde4b06e28e9c22a9e","contributors":{"authors":[{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":723328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stirling, Ian","contributorId":72079,"corporation":false,"usgs":false,"family":"Stirling","given":"Ian","email":"","affiliations":[{"id":6962,"text":"Science and Technology Branch, Environment Canada","active":true,"usgs":false}],"preferred":false,"id":723329,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193409,"text":"70193409 - 2017 - Field practices: Assessing tiger population dynamics using photographic captures","interactions":[],"lastModifiedDate":"2017-11-30T10:12:03","indexId":"70193409","displayToPublicDate":"2017-11-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Field practices: Assessing tiger population dynamics using photographic captures","docAbstract":"From these histories, capture frequency statistics and estimates of capture probabilities can be derived.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Methods for monitoring tiger and prey populations ","language":"English","publisher":"Springer","doi":"10.1007/978-981-10-5436-5_10","usgsCitation":"Karanth, K.U., Nichols, J., Harihar, A., Miquelle, D., Kumar, N.S., and Dorazio, R., 2017, Field practices: Assessing tiger population dynamics using photographic captures, chap. <i>of</i> Methods for monitoring tiger and prey populations , p. 191-224, https://doi.org/10.1007/978-981-10-5436-5_10.","productDescription":"34 p.","startPage":"191","endPage":"224","ipdsId":"IP-086076","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":349570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-28","publicationStatus":"PW","scienceBaseUri":"5a60fafee4b06e28e9c22ab0","contributors":{"authors":[{"text":"Karanth, K. Ullas","contributorId":192144,"corporation":false,"usgs":false,"family":"Karanth","given":"K.","email":"","middleInitial":"Ullas","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":718933,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nichols, James D. 0000-0002-7631-2890","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":199078,"corporation":false,"usgs":false,"family":"Nichols","given":"James D.","affiliations":[],"preferred":false,"id":718934,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harihar, Abishek","contributorId":199395,"corporation":false,"usgs":false,"family":"Harihar","given":"Abishek","email":"","affiliations":[],"preferred":false,"id":718935,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miquelle, Dale","contributorId":199396,"corporation":false,"usgs":false,"family":"Miquelle","given":"Dale","affiliations":[],"preferred":false,"id":718936,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kumar, N. Samba","contributorId":52701,"corporation":false,"usgs":true,"family":"Kumar","given":"N.","email":"","middleInitial":"Samba","affiliations":[],"preferred":false,"id":718937,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dorazio, Robert 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":172151,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"preferred":true,"id":718932,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70194441,"text":"70194441 - 2017 - Conceptual model for invasive bivalve control on wetland productivity","interactions":[],"lastModifiedDate":"2017-11-30T10:09:17","indexId":"70194441","displayToPublicDate":"2017-11-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":5573,"text":"Interagency Ecological Program Technical Report","active":true,"publicationSubtype":{"id":4}},"seriesNumber":"91","title":"Conceptual model for invasive bivalve control on wetland productivity","docAbstract":"<p>Tidal wetlands were the historically dominant features of many coastal regions around the world, including the San Francisco Estuary (Callaway et al. 2011; Whipple et al. 2012). These mosaics of varied interconnected habitats (Mitsch and Gosselink 1993) provide a host of ecosystem services, including biodiversity maintenance, fish and wildlife habitat, water quality improvement, flood abatement, and carbon sequestration (Rabenhorst 1995; Costanza et al. 1997; Bottom et al. 2005; Zedler and Kercher 2005; Barbier et al. 2010). They also support human activities and values such as recreation and aesthetic appreciation (Barbier et al. 2010; Milligan and Kraus-Polk 2016). Despite their critical functions, many wetland landscapes have been destroyed or irreparably altered, either incidentally or intentionally, by human activities (Holland et al. 2004; Zedler and Kercher 2005; Callaway et al. 2011; Cloern and Jassby 2012; Whipple et al. 2012; Schile et al. 2014). </p><p>San Francisco Estuary (SFE) (see Figure 1) tidal wetlands were largely converted to other land uses in the late 1800s and early 1900s, with the extent of loss and new use varying by region. Wetland losses in the North, Central, and South San Francisco bays and Suisun Bay ranged from 70 percent to 93 percent to accommodate agricultural uses, salt production, managed waterfowl habitat, and urban development (Callaway et al. 2011). Landscape transformation within the most inland portion of the SFE, the Sacramento-San Joaquin Delta (Delta), was even more dramatic. Overall, today’s Delta contains 97 percent less freshwater tidal wetland than its historical state and nearly double the open water area (Whipple et al. 2012). The majority of the modern Delta consists of agricultural tracts protected from tidal waters by human-made dikes or levees, which are commonly armored with riprap. The de-watered, rich peat soils of these created islands have supported abundant agricultural production, but have oxidized, compacted, and blown away in the process, causing significant subsidence (Deverel and Leighton 2010). Occasional levee failures turn islands into lakes; a few large shallow lakes remain after accidental levee breaches were not repaired (Whipple et al. 2012).</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Effects of tidal wetland restoration on fish: A suite of conceptual models","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Interagency Ecological Program","usgsCitation":"Hartman, R., Brown, L.R., Thompson, J.K., and Parchaso, F., 2017, Conceptual model for invasive bivalve control on wetland productivity: Interagency Ecological Program Technical Report 91, 34 p.","productDescription":"34 p.","startPage":"225","endPage":"258","ipdsId":"IP-084615","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":349521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349520,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.water.ca.gov/iep/docs/tech_rpts/TR91.Wetland_CM_2Nov2017.pdf"}],"country":"United States","state":"California","city":"San Francisco","otherGeospatial":"San Francisco Bay-Delta Estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.2720947265625,\n              37.02886944696474\n            ],\n            [\n              -121.124267578125,\n              37.02886944696474\n            ],\n            [\n              -121.124267578125,\n              38.65119833229951\n            ],\n            [\n              -123.2720947265625,\n              38.65119833229951\n            ],\n            [\n              -123.2720947265625,\n              37.02886944696474\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fafde4b06e28e9c22a9b","contributors":{"authors":[{"text":"Hartman, Rosemary","contributorId":200388,"corporation":false,"usgs":false,"family":"Hartman","given":"Rosemary","email":"","affiliations":[],"preferred":false,"id":723822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":723824,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Janet K. 0000-0002-1528-8452 jthompso@usgs.gov","orcid":"https://orcid.org/0000-0002-1528-8452","contributorId":1009,"corporation":false,"usgs":true,"family":"Thompson","given":"Janet","email":"jthompso@usgs.gov","middleInitial":"K.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":723821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parchaso, Francis 0000-0002-9471-7787 parchaso@usgs.gov","orcid":"https://orcid.org/0000-0002-9471-7787","contributorId":150620,"corporation":false,"usgs":true,"family":"Parchaso","given":"Francis","email":"parchaso@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":723823,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194447,"text":"70194447 - 2017 - Refining the formation and early evolution of the Eastern North American Margin: New insights from multiscale magnetic anomaly analyses","interactions":[],"lastModifiedDate":"2018-01-05T13:56:31","indexId":"70194447","displayToPublicDate":"2017-11-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Refining the formation and early evolution of the Eastern North American Margin: New insights from multiscale magnetic anomaly analyses","docAbstract":"<p><span>To investigate the oceanic lithosphere formation and early seafloor spreading history of the North Atlantic Ocean, we examine multiscale magnetic anomaly data from the Jurassic/Early Cretaceous age Eastern North American Margin (ENAM) between 31 and 40°N. We integrate newly acquired sea surface magnetic anomaly and seismic reflection data with publicly available aeromagnetic and composite magnetic anomaly grids, satellite-derived gravity anomaly, and satellite-derived and shipboard bathymetry data. We evaluate these data sets to (1) refine magnetic anomaly correlations throughout the ENAM and assign updated ages and chron numbers to M0–M25 and eight pre-M25 anomalies; (2) identify five correlatable magnetic anomalies between the East Coast Magnetic Anomaly (ECMA) and Blake Spur Magnetic Anomaly (BSMA), which may document the earliest Atlantic seafloor spreading or synrift magmatism; (3) suggest preexisting margin structure and rifting segmentation may have influenced the seafloor spreading regimes in the Atlantic Jurassic Quiet Zone (JQZ); (4) suggest that, if the BSMA source is oceanic crust, the BSMA may be M series magnetic anomaly M42 (~168.5&nbsp;Ma); (5) examine the along and across margin variation in seafloor spreading rates and spreading center orientations from the BSMA to M25, suggesting asymmetric crustal accretion accommodated the straightening of the ridge from the bend in the ECMA to the more linear M25; and (6) observe anomalously high-amplitude magnetic anomalies near the Hudson Fan, which may be related to a short-lived propagating rift segment that could have helped accommodate the crustal alignment during the early Atlantic opening.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2017JB014308","usgsCitation":"Greene, J., Tominaga, M., Miller, N.C., Hutchinson, D., and Karl, M.R., 2017, Refining the formation and early evolution of the Eastern North American Margin: New insights from multiscale magnetic anomaly analyses: Journal of Geophysical Research B: Solid Earth, v. 122, no. 11, p. 8724-8748, https://doi.org/10.1002/2017JB014308.","productDescription":"25 p.","startPage":"8724","endPage":"8748","ipdsId":"IP-089007","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469291,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017jb014308","text":"Publisher Index Page"},{"id":349535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Eastern North American Margin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80,\n              29\n            ],\n            [\n              -62,\n              29\n            ],\n            [\n              -62,\n              41\n            ],\n            [\n              -80,\n              41\n            ],\n            [\n              -80,\n              29\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"122","issue":"11","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-16","publicationStatus":"PW","scienceBaseUri":"5a60fafde4b06e28e9c22a95","contributors":{"authors":[{"text":"Greene, John A. 0000-0002-4310-602X","orcid":"https://orcid.org/0000-0002-4310-602X","contributorId":200999,"corporation":false,"usgs":false,"family":"Greene","given":"John A.","affiliations":[],"preferred":false,"id":723859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tominaga, Masako 0000-0002-1169-4146","orcid":"https://orcid.org/0000-0002-1169-4146","contributorId":200937,"corporation":false,"usgs":false,"family":"Tominaga","given":"Masako","email":"","affiliations":[],"preferred":false,"id":723860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Nathaniel C. 0000-0003-3271-2929 ncmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3271-2929","contributorId":174592,"corporation":false,"usgs":true,"family":"Miller","given":"Nathaniel","email":"ncmiller@usgs.gov","middleInitial":"C.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":723861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hutchinson, Deborah 0000-0002-2544-5466 dhutchinson@usgs.gov","orcid":"https://orcid.org/0000-0002-2544-5466","contributorId":174836,"corporation":false,"usgs":true,"family":"Hutchinson","given":"Deborah","email":"dhutchinson@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":723858,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Karl, Matthew R.","contributorId":200938,"corporation":false,"usgs":false,"family":"Karl","given":"Matthew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":723862,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193417,"text":"70193417 - 2017 - Implications of rapid environmental change for polar bear behavior and sociality","interactions":[],"lastModifiedDate":"2021-04-26T14:56:00.076662","indexId":"70193417","displayToPublicDate":"2017-11-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Implications of rapid environmental change for polar bear behavior and sociality","docAbstract":"<p><span>Historically, the Arctic sea ice has functioned as a structural barrier that has limited the nature and extent of interactions between humans and polar bears (</span><i class=\"EmphasisTypeItalic \">Ursus maritimus</i><span>). However, declining sea ice extent, brought about by global climate change, is increasing the potential for human-polar bear interactions. Loss of sea ice habitat is driving changes to both human and polar bear behavior—it is facilitating increases in human activities (e.g., offshore oil and gas exploration and extraction, trans-Arctic shipping, recreation), while also causing the displacement of bears from preferred foraging habitat (i.e., sea ice over biologically productive shallow) to land in some portions of their range. The end result of these changes is that polar bears are spending greater amounts of time in close proximity to people. Coexistence between humans and polar bears will require imposing mechanisms to manage further development, as well as mitigation strategies that reduce the burden to local communities.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Marine mammal welfare","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-46994-2_24","usgsCitation":"Atwood, T.C., 2017, Implications of rapid environmental change for polar bear behavior and sociality, chap. <i>of</i> Marine mammal welfare, v. 17, p. 445-462, https://doi.org/10.1007/978-3-319-46994-2_24.","productDescription":"18 p.","startPage":"445","endPage":"462","ipdsId":"IP-075018","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":349567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-20","publicationStatus":"PW","scienceBaseUri":"5a60fafee4b06e28e9c22aaa","contributors":{"authors":[{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":718972,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70193416,"text":"70193416 - 2017 - Monitoring the welfare of polar bear populations in a rapidly changing Arctic","interactions":[],"lastModifiedDate":"2021-04-27T11:47:36.143822","indexId":"70193416","displayToPublicDate":"2017-11-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Monitoring the welfare of polar bear populations in a rapidly changing Arctic","docAbstract":"<p><span>Most programs for monitoring the welfare of wildlife populations support efforts aimed at reaching discrete management objectives, like mitigating conflict with humans. While such programs can be effective, their limited scope may preclude systemic evaluations needed for large-scale conservation initiatives, like the recovery of at-risk species. We discuss select categories of metrics that can be used to monitor how polar bears (</span><i class=\"EmphasisTypeItalic \">Ursus maritimus</i><span>) are responding to the primary threat to their long-term persistence—loss of sea ice habitat due to the unabated rise in atmospheric greenhouse gas (GHG; e.g., CO</span><sub>2</sub><span>) concentrations—that can also provide information on ecosystem function and health. Monitoring key aspects of polar bear population dynamics, spatial behavior, health and resiliency can provide valuable insight into ecosystem state and function, and could be a powerful tool for achieving Arctic conservation objectives, particularly those that have transnational policy implications.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Marine mammal welfare","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-46994-2_28","usgsCitation":"Atwood, T.C., Duncan, C.G., Patyk, K.A., and Sonsthagen, S.A., 2017, Monitoring the welfare of polar bear populations in a rapidly changing Arctic, chap. <i>of</i> Marine mammal welfare, v. 17, p. 503-527, https://doi.org/10.1007/978-3-319-46994-2_28.","productDescription":"15 p.","startPage":"503","endPage":"527","ipdsId":"IP-075035","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":349569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-20","publicationStatus":"PW","scienceBaseUri":"5a60fafee4b06e28e9c22aad","contributors":{"authors":[{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":718968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duncan, Colleen G.","contributorId":15512,"corporation":false,"usgs":false,"family":"Duncan","given":"Colleen","email":"","middleInitial":"G.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":718969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patyk, Kelly A.","contributorId":139696,"corporation":false,"usgs":false,"family":"Patyk","given":"Kelly","email":"","middleInitial":"A.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":718970,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":718971,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193418,"text":"70193418 - 2017 - Human-polar bear interactions in a changing Arctic: Existing and emerging concerns","interactions":[],"lastModifiedDate":"2021-04-26T14:55:05.034537","indexId":"70193418","displayToPublicDate":"2017-11-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Human-polar bear interactions in a changing Arctic: Existing and emerging concerns","docAbstract":"<p><span>The behavior and sociality of polar bears (</span><i class=\"EmphasisTypeItalic \">Ursus maritimus</i><span>) have been shaped by evolved preferences for sea ice habitat and preying on marine mammals. However, human behavior is causing changes to the Arctic marine ecosystem through the influence of greenhouse gas emissions that drive long-term change in ecosystem processes and via the presence of in situ stressors associated with increasing human activities. These changes are making it more difficult for polar bears to reliably use their traditional habitats and maintain fitness. Here, we provide an overview of how human activities in the Arctic are likely to change a polar bear’s behavior and to influence their resilience to environmental change. Developing a more thorough understanding of polar bear behavior and their capacity for flexibility in response to anthropogenic disturbances and subsequent mitigations may lead to successful near-term management interventions.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Marine mammal welfare","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-46994-2_22","usgsCitation":"Atwood, T.C., Simac, K.S., Breck, S., York, G., and Wilder, J., 2017, Human-polar bear interactions in a changing Arctic: Existing and emerging concerns, chap. <i>of</i> Marine mammal welfare, v. 17, p. 397-418, https://doi.org/10.1007/978-3-319-46994-2_22.","productDescription":"22 p.","startPage":"397","endPage":"418","ipdsId":"IP-074839","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":349565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-20","publicationStatus":"PW","scienceBaseUri":"5a60fafee4b06e28e9c22aa7","contributors":{"authors":[{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":718973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simac, Kristin S. 0000-0002-4072-1940 ksimac@usgs.gov","orcid":"https://orcid.org/0000-0002-4072-1940","contributorId":131096,"corporation":false,"usgs":true,"family":"Simac","given":"Kristin","email":"ksimac@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":718974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breck, Stewart","contributorId":199403,"corporation":false,"usgs":false,"family":"Breck","given":"Stewart","affiliations":[],"preferred":false,"id":718975,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"York, Geoff","contributorId":199074,"corporation":false,"usgs":false,"family":"York","given":"Geoff","affiliations":[],"preferred":false,"id":718976,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilder, James","contributorId":152610,"corporation":false,"usgs":false,"family":"Wilder","given":"James","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":718977,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194483,"text":"70194483 - 2017 - Combining remote sensing and water-balance evapotranspiration estimates for the conterminous United States","interactions":[],"lastModifiedDate":"2022-04-22T16:02:15.153901","indexId":"70194483","displayToPublicDate":"2017-11-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Combining remote sensing and water-balance evapotranspiration estimates for the conterminous United States","docAbstract":"<p><span>Evapotranspiration (ET) is a key component of the hydrologic cycle, accounting for ~70% of precipitation in the conterminous U.S. (CONUS), but it has been a challenge to predict accurately across different spatio-temporal scales. The increasing availability of remotely sensed data has led to significant advances in the frequency and spatial resolution of ET estimates, derived from energy balance principles with variables such as temperature used to estimate surface latent heat flux. Although remote sensing methods excel at depicting spatial and temporal variability, estimation of ET independently of other water budget components can lead to inconsistency with other budget terms. Methods that rely on ground-based data better constrain long-term ET, but are unable to provide the same temporal resolution. Here we combine long-term ET estimates from a water-balance approach with the SSEBop (operational Simplified Surface Energy Balance) remote sensing-based ET product for 2000–2015. We test the new combined method, the original SSEBop product, and another remote sensing ET product (MOD16) against monthly measurements from 119 flux towers. The new product showed advantages especially in non-irrigated areas where the new method showed a coefficient of determination&nbsp;</span><i>R</i><sup>2</sup><span><span>&nbsp;</span>of 0.44, compared to 0.41 for SSEBop or 0.35 for MOD16. The resulting monthly data set will be a useful, unique contribution to ET estimation, due to its combination of remote sensing-based variability and ground-based long-term water balance constraints.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs9121181","usgsCitation":"Reitz, M., Senay, G., and Sanford, W.E., 2017, Combining remote sensing and water-balance evapotranspiration estimates for the conterminous United States: Remote Sensing, v. 9, no. 12, 1181, 17 p.; Data release, https://doi.org/10.3390/rs9121181.","productDescription":"1181, 17 p.; Data release","ipdsId":"IP-090961","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469292,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs9121181","text":"Publisher Index Page"},{"id":349568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":397955,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7QC02FK","text":"USGS data release","description":"USGS data release","linkHelpText":"Combined remote sensing and water-balance evapotranspiration estimates (SSEBop-WB) for the conterminous United States"}],"country":"United 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senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":724059,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":724060,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190686,"text":"sir20175102 - 2017 - Procedure for calculating estimated ultimate recoveries of wells in the Mississippian Barnett Shale, Bend Arch–Fort Worth Basin Province of north-central Texas","interactions":[],"lastModifiedDate":"2017-11-29T10:11:21","indexId":"sir20175102","displayToPublicDate":"2017-11-28T17:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5102","title":"Procedure for calculating estimated ultimate recoveries of wells in the Mississippian Barnett Shale, Bend Arch–Fort Worth Basin Province of north-central Texas","docAbstract":"<p>In 2015, the U.S. Geological Survey published an assessment&nbsp;of technically recoverable continuous oil and gas resources&nbsp;of the Mississippian Barnett Shale in the Bend Arch–Fort Worth&nbsp;Basin Province of north-central Texas. Of the two assessment units involved in the overall assessment, one included a roughly&nbsp;equal number of oil wells and gas wells as classified by the U.S.&nbsp;Geological Survey’s standard of gas wells having production&nbsp;greater than or equal to 20,000 cubic feet of gas per barrel of&nbsp;oil and oil wells having production less than 20,000 cubic feet&nbsp;of gas per barrel of oil. As a result, estimated ultimate recoveries&nbsp;(EURs) were calculated for both oil wells and gas wells in&nbsp;one of the assessment units. Generally, only gas EURs or only oil EURs are calculated for an assessment unit. These EURs&nbsp;were calculated with data from IHS Markit<sup>TM</sup>&nbsp;using DeclinePlus&nbsp;software in the Harmony interface and were a major component&nbsp;of the quantitative resource assessment. The calculated mean EURs ranged from 235 to 2,078 million cubic feet of gas and 21&nbsp;to 39 thousand barrels of oil for various subsets of wells.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175102","usgsCitation":"Leathers-Miller, H.M., 2017, Procedure for calculating estimated ultimate recoveries of wells in the Mississippian Barnett Shale, Bend Arch–Fort Worth Basin Province of north-central Texas: U.S. Geological Survey Scientific Investigations Report 2017–5102, 6 p., https://doi.org/10.3133/sir20175102.","productDescription":"iii, 6 p.","numberOfPages":"14","onlineOnly":"Y","ipdsId":"IP-079909","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":349345,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5102/sir20175102.pdf","text":"Report","size":"4.53 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5102"},{"id":349344,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5102/coverthb.jpg"},{"id":349347,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20153078","text":"Fact Sheet 2015–3078 ","linkHelpText":"Assessment of undiscovered shale gas and shale oil resources in the Mississippian Barnett Shale, Bend Arch–Fort Worth Basin Province, north-central Texas"}],"country":"United States","state":"Texas","otherGeospatial":"Bend Arch-Fort Worth Basin Province, Mississippian Barnett Shale","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100,\n              30\n            ],\n            [\n              -96,\n              30\n            ],\n            [\n              -96,\n              35\n            ],\n            [\n              -100,\n              35\n            ],\n            [\n              -100,\n              30\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"http://energy.usgs.gov/\" data-mce-href=\"http://energy.usgs.gov/\">Central Energy Resources Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-939<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Procedure</li><li>Results</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2017-11-28","noUsgsAuthors":false,"publicationDate":"2017-11-28","publicationStatus":"PW","scienceBaseUri":"5a60fafee4b06e28e9c22ab5","contributors":{"authors":[{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906 hleathers@usgs.gov","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":149262,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi","email":"hleathers@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":710163,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70202310,"text":"70202310 - 2017 - Late Quaternary fluvial history of Santa Cruz Island, California, USA","interactions":[],"lastModifiedDate":"2019-02-21T14:04:41","indexId":"70202310","displayToPublicDate":"2017-11-28T14:04:34","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary fluvial history of Santa Cruz Island, California, USA","docAbstract":"<p><span>The geologic history of fluvial systems on Santa Cruz Island (SCI) is complex, involving responses to both allogenic and autogenic forcings. During periods of low or lowering sea level, canyons on the island were eroded and sediment was transported off the island onto the exposed marine shelf. When sea level rose, streams aggraded, building a sedimentary wedge that progressed from the shelf upstream into the canyons. This cycle of erosion and aggradation in response to glacial–interglacial sea-level cycles was likely repeated numerous times during the Quaternary, although clear evidence of only the most recent cycle is present in the island’s alluvial sequences. Christy, Sauces, and Pozo Canyons contain thick packages of fine-grained sediments that were deposited as a result of the interaction between autogenic depositional processes and allogenic forcing of continuous base-level rise. Other canyons on the island either have little alluvial fill due to their steep gradients or are filled with coarse-grained, recent (likely late Holocene) alluvium that covers the older alluvial deposits. Differences in the nature and extent of the alluvial exposures on SCI relative to those on neighboring Santa Rosa Island reflect differences in the local topography, geology, and ranching histories of the 2 islands.</span></p>","language":"English","publisher":"Monte L. Bean Life Science Museum","doi":"10.3398/064.078.0401","usgsCitation":"Schumann, R.R., and Pigati, J.S., 2017, Late Quaternary fluvial history of Santa Cruz Island, California, USA: Western North American Naturalist, v. 78, no. 4, p. 511-529, https://doi.org/10.3398/064.078.0401.","productDescription":"19 p.","startPage":"511","endPage":"529","ipdsId":"IP-084970","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":488799,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol78/iss4/3","text":"External Repository"},{"id":361418,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Cruz Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.95079040527344,\n              33.94051172783321\n            ],\n            [\n              -119.51271057128906,\n              33.94051172783321\n            ],\n            [\n              -119.51271057128906,\n              34.10100227884199\n            ],\n            [\n              -119.95079040527344,\n              34.10100227884199\n            ],\n            [\n              -119.95079040527344,\n              33.94051172783321\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"78","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schumann, R. Randall 0000-0001-8158-6960 rschumann@usgs.gov","orcid":"https://orcid.org/0000-0001-8158-6960","contributorId":1569,"corporation":false,"usgs":true,"family":"Schumann","given":"R.","email":"rschumann@usgs.gov","middleInitial":"Randall","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":757739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":757740,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70199758,"text":"70199758 - 2017 - Flood runoff in relation to water vapor transport by atmospheric rivers over the western United States, 1949–2015","interactions":[],"lastModifiedDate":"2018-09-27T13:56:26","indexId":"70199758","displayToPublicDate":"2017-11-28T13:56:08","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Flood runoff in relation to water vapor transport by atmospheric rivers over the western United States, 1949–2015","docAbstract":"<p><span>Atmospheric rivers (ARs) have a significant role in generating floods across the western United States. We analyze daily streamflow for water years 1949 to 2015 from 5,477 gages in relation to water vapor transport by ARs using a 6&nbsp;h chronology resolved to 2.5° latitude and longitude. The probability that an AR will generate 50&nbsp;mm/d of runoff in a river on the Pacific Coast increases from 12% when daily mean water vapor transport,&nbsp;</span><i>DVT</i><span>, is greater than 300&nbsp;kg&nbsp;m</span><sup>−1</sup><span>&nbsp;s</span><sup>−1</sup><span>&nbsp;to 54% when DVT&nbsp;&gt;&nbsp;600&nbsp;kg&nbsp;m</span><sup>−1</sup><span>&nbsp;s</span><sup>−1</sup><span>. Extreme runoff, represented by the 99th quantile of daily values, doubles from 80&nbsp;mm/d at DVT&nbsp;=&nbsp;300&nbsp;kg&nbsp;m</span><sup>−1</sup><span>&nbsp;s</span><sup>−1</sup><span>&nbsp;to 160&nbsp;mm/d at DVT&nbsp;=&nbsp;500&nbsp;kg&nbsp;m</span><sup>−1</sup><span>&nbsp;s</span><sup>−1</sup><span>. Forecasts and predictions of water vapor transport by atmospheric rivers can support flood risk assessment and estimates of future flood frequencies and magnitude in the western United States.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2017GL075399","usgsCitation":"Konrad, C.P., and Dettinger, M.D., 2017, Flood runoff in relation to water vapor transport by atmospheric rivers over the western United States, 1949–2015: Geophysical Research Letters, v. 44, no. 22, p. 11456-11462, https://doi.org/10.1002/2017GL075399.","productDescription":"7 p.","startPage":"11456","endPage":"11462","ipdsId":"IP-089312","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":469294,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017gl075399","text":"Publisher Index Page"},{"id":357838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"44","issue":"22","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-29","publicationStatus":"PW","scienceBaseUri":"5bc030a6e4b0fc368eb53a08","contributors":{"authors":[{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":746508,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189890,"text":"ds1060 - 2017 - Distribution of foraminifera in Chincoteague Bay and the marshes of Assateague Island and the adjacent vicinity, Maryland and Virginia","interactions":[],"lastModifiedDate":"2025-05-13T16:27:31.482105","indexId":"ds1060","displayToPublicDate":"2017-11-28T11:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1060","title":"Distribution of foraminifera in Chincoteague Bay and the marshes of Assateague Island and the adjacent vicinity, Maryland and Virginia","docAbstract":"<p><span>Scientists from the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center conducted a seasonal collection of estuarine, marsh, and sandy washover surface sediments from Chincoteague Bay, Tom’s Cove, and the surrounding Assateague Island and Delmarva Peninsula in March–April and October 2014, after Hurricane Sandy. Micropaleontology samples were collected as part of a complementary USGS Coastal and Marine Geology Program Sea-level and Storm Impacts on Estuarine Environments and Shorelines project study.&nbsp;For comparison with estuarine and overwash deposited foraminifera, a group of scientists from the USGS Woods Hole Coastal and Marine Science Center in Massachusetts collected samples offshore of Assateague Island on the inner continental shelf during a seafloor mapping study in the summer of 2014 and shipped select samples to the St. Petersburg Coastal and Marine Science Center. The micropaleontological subsamples analyzed for foraminifera at each site can be used to establish a foraminiferal baseline assemblage that takes into consideration the seasonal variability of the various species, regarding density and geographic extent, which are influenced by transient and stable environmental parameters. By understanding what parameters affect the various foraminiferal assemblages, researchers can delineate how alterations in salinity, temperature, or marsh-to-bay interactions, such as marsh erosion, might affect that assemblage.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1060","usgsCitation":"Ellis, A.M., Shaw, J.E., Osterman, L.E., and Smith, C.G., 2017, Distribution of foraminifera in Chincoteague Bay and the marshes of Assateague Island and the adjacent vicinity, Maryland and Virginia: U.S. Geological Survey Data Series 1060, available at https://doi.org/10.3133/ds1060.","productDescription":"HTML Document; Data Downloads","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-084010","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":347970,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1060","text":"Report HTML","linkFileType":{"id":5,"text":"html"},"description":"DS 1060"},{"id":347969,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1060/coverthb.jpg"},{"id":347971,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ds1059","text":"Data Series 1059","linkHelpText":"- A seasonal and spatial comparison of metals, and stable carbon and nitrogen isotopes, in Chincoteague Bay and the marsh deposits of Assateague Island and the adjacent vicinity, Maryland and Virginia"},{"id":438143,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YCK857","text":"USGS data release","linkHelpText":"Benthic Foraminiferal Data from Surface Samples and Sedimentary Cores in the Grand Bay Estuary, Mississippi and Alabama"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Assateague Island, Chincoteague Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.42388916015625,\n              37.82931081282506\n            ],\n            [\n              -75.0311279296875,\n              37.82931081282506\n            ],\n            [\n              -75.0311279296875,\n              38.43422817624596\n            ],\n            [\n              -75.42388916015625,\n              38.43422817624596\n            ],\n            [\n              -75.42388916015625,\n              37.82931081282506\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://coastal.er.usgs.gov/\" data-mce-href=\"https://coastal.er.usgs.gov/\">St. Petersburg Coastal and Marine Science Center</a><br> U.S. Geological Survey<br> 600 4th Street South<br> St. Petersburg, FL 33701</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Field and Lab Methods</li><li>Data Downloads</li><li>Abbreviations</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2017-11-28","noUsgsAuthors":false,"publicationDate":"2017-11-28","publicationStatus":"PW","scienceBaseUri":"5a60fafee4b06e28e9c22aba","contributors":{"authors":[{"text":"Ellis, Alisha M. 0000-0002-1785-020X aellis@usgs.gov","orcid":"https://orcid.org/0000-0002-1785-020X","contributorId":192957,"corporation":false,"usgs":true,"family":"Ellis","given":"Alisha","email":"aellis@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":706617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shaw, Jaimie 0000-0001-5440-8528 jeshaw@usgs.gov","orcid":"https://orcid.org/0000-0001-5440-8528","contributorId":192958,"corporation":false,"usgs":true,"family":"Shaw","given":"Jaimie","email":"jeshaw@usgs.gov","affiliations":[],"preferred":true,"id":706618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osterman, Lisa E.","contributorId":195251,"corporation":false,"usgs":false,"family":"Osterman","given":"Lisa E.","affiliations":[],"preferred":false,"id":706620,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":195250,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":false,"id":706619,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70190146,"text":"ds1059 - 2017 - A seasonal and spatial comparison of metals, and stable carbon and nitrogen isotopes, in Chincoteague Bay and the marsh deposits of Assateague Island and the adjacent vicinity, Maryland and Virginia","interactions":[],"lastModifiedDate":"2025-05-13T16:28:43.750271","indexId":"ds1059","displayToPublicDate":"2017-11-28T11:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1059","title":"A seasonal and spatial comparison of metals, and stable carbon and nitrogen isotopes, in Chincoteague Bay and the marsh deposits of Assateague Island and the adjacent vicinity, Maryland and Virginia","docAbstract":"<p>After Hurricane Sandy, scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center conducted a seasonal collection of estuarine, marsh, and sandy overwash surface sediments from Chincoteague Bay, Tom’s Cove, and the surrounding Assateague Island and Delmarva Peninsula in March–April and October 2014. Surplus surface sediment was analyzed for metals, percent carbon and nitrogen, δ<sup>13</sup>C, and δ<sup>15</sup>N as part of a complementary U.S. Geological Survey Coastal and Marine Geology Program Sea-level and Storm Impacts on Estuarine Environments and Shorelines project study.&nbsp;The geochemical subsample analyzed for metals and stable isotopes at each site may be used for comparison with past data sets, to create a modern baseline of the natural distribution of the area, to understand seasonal variability as it relates to the health of the local environment, and to assess marsh-to-bay interactions. The use of metals, stable carbon, and stable nitrogen isotopes allows for a more cohesive snapshot of factors influencing the environment and could aid in tracking environmental change.</p><p>This report serves as an archive for chemical data derived from the surface sediment. Data are available for a seasonal comparison between the March–April 2014 and October 2014 sampling trips. Downloadable data are available as Microsoft Excel spreadsheets. These additional files include formal Federal Geographic Data Committee metadata (<a href=\"https://pubs.usgs.gov/ds/1059/ds1059_data.html\" data-mce-href=\"https://pubs.usgs.gov/ds/1059/ds1059_data.html\">data downloads</a>).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1059","usgsCitation":"Ellis, A.M., and Smith, C.G., 2017, A seasonal and spatial comparison of metals, and stable carbon and nitrogen isotopes, in Chincoteague Bay and the marsh deposits of Assateague Island and the adjacent vicinity, Maryland and Virginia: U.S. Geological Survey Data Series 1059, https://doi.org/10.3133/ds1059.","productDescription":"HMTL Document; Data Downloads","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-077432","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":347967,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ds1060","text":"Data Series 1060","linkHelpText":"- Distribution of foraminifera in Chincoteague Bay and the marshes of Assateague Island and the adjacent vicinity, Maryland and Virginia"},{"id":347964,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1059/","text":"Report HTML","linkFileType":{"id":5,"text":"html"},"description":"DS 1059"},{"id":347963,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1059/coverthb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Assateague Island, Chincoteague Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.42388916015625,\n              37.82931081282506\n            ],\n            [\n              -75.0311279296875,\n              37.82931081282506\n            ],\n            [\n              -75.0311279296875,\n              38.43422817624596\n            ],\n            [\n              -75.42388916015625,\n              38.43422817624596\n            ],\n            [\n              -75.42388916015625,\n              37.82931081282506\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://coastal.er.usgs.gov/\" data-mce-href=\"https://coastal.er.usgs.gov/\">St. Petersburg Coastal and Marine Science Center</a><br> U.S. Geological Survey<br> 600 4th Street South<br> St. Petersburg, FL 33701</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Field Data Collection</li><li>Laboratory Methods and Analysis</li><li>Data Downloads</li><li>Abbreviations</li><li>References</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2017-11-28","noUsgsAuthors":false,"publicationDate":"2017-11-28","publicationStatus":"PW","scienceBaseUri":"5a60fafee4b06e28e9c22ab7","contributors":{"authors":[{"text":"Ellis, Alisha M. 0000-0002-1785-020X aellis@usgs.gov","orcid":"https://orcid.org/0000-0002-1785-020X","contributorId":192957,"corporation":false,"usgs":true,"family":"Ellis","given":"Alisha","email":"aellis@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":707691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":707692,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70194429,"text":"70194429 - 2017 - The value of information for woodland management: Updating a state–transition model","interactions":[],"lastModifiedDate":"2017-11-29T09:54:21","indexId":"70194429","displayToPublicDate":"2017-11-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"The value of information for woodland management: Updating a state–transition model","docAbstract":"Value of information (VOI) analyses reveal the expected benefit of reducing uncertainty to a decision maker. Most ecological VOI analyses have focused on population models rarely addressing more complex community models. We performed a VOI analysis for a complex state–transition model of Box-Ironbark Forest and Woodland management. With three management alternatives (limited harvest/firewood removal (HF), ecological thinning (ET), and no management), managing the system optimally (for 150 yr) with the original information would, on average, increase the amount of forest in a desirable state from 19% to 35% (a 16-percentage point increase). Resolving all uncertainty would, on average, increase the final percentage to 42% (a 19-percentage point increase). However, only resolving the uncertainty for a single parameter was worth almost two-thirds the value of resolving all uncertainty. We found the VOI to depend on the number of management options, increasing as the management flexibility increased. Our analyses show it is more cost-effective to monitor low-density regrowth forest than other states and more cost-effective to experiment with the no-management alternative than the other management alternatives. Importantly, the most cost-effective strategies did not include either the most desired forest states or the least understood management strategy, ET. This implies that managers cannot just rely on intuition to tell them where the most VOI will lie, as critical uncertainties in a complex system are sometimes cryptic.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1998","usgsCitation":"Morris, W.K., Runge, M.C., and Vesk, P.A., 2017, The value of information for woodland management: Updating a state–transition model: Ecosphere, v. 8, no. 11, p. 1-12, https://doi.org/10.1002/ecs2.1998.","productDescription":"e01998; 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-082196","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":469297,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1998","text":"Publisher Index Page"},{"id":349416,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","state":"Victoria","volume":"8","issue":"11","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-16","publicationStatus":"PW","scienceBaseUri":"5a60faffe4b06e28e9c22ac5","contributors":{"authors":[{"text":"Morris, William K.","contributorId":200890,"corporation":false,"usgs":false,"family":"Morris","given":"William","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":723739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":723738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vesk, Peter A.","contributorId":200891,"corporation":false,"usgs":false,"family":"Vesk","given":"Peter","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":723740,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194432,"text":"70194432 - 2017 - Determining fine-scale use and movement patterns of diving bird species in federal waters of the Mid-Atlantic United States using satellite telemetry","interactions":[],"lastModifiedDate":"2018-02-06T12:39:35","indexId":"70194432","displayToPublicDate":"2017-11-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"BOEM 2017-069","title":"Determining fine-scale use and movement patterns of diving bird species in federal waters of the Mid-Atlantic United States using satellite telemetry","docAbstract":"Offshore wind energy development in the United States is projected to expand in the upcoming decades to meet growing energy demands and reduce fossil fuel emissions. There is particular interest in commercial offshore wind development within Federal waters (i.e., > 3 nautical miles from shore) of the mid-Atlantic. In order to understand the potential for adverse effects on marine birds in this area, information on distribution and behavior (e.g., flight pathways, timing, etc.) is required for a broad suite of species. In areas where offshore wind development is likely to occur, such information can be used to identify high use areas during critical life stages, which can inform the siting of offshore facilities. It can also be used to provide baseline data for understanding broad changes in distributions that occur after offshore wind developments are constructed in a specific area.","language":"English","publisher":"U.S. Department of the Interior, Bureau of Ocean Energy Management","usgsCitation":"Spiegel, C., Berlin, A., Gilbert, A., Gray, C., Montevecchi, W., Stenhouse, I., Ford, S., Olsen, G.H., Fiely, J., Savoy, L., Goodale, M.W., and Burke, C., 2017, Determining fine-scale use and movement patterns of diving bird species in federal waters of the Mid-Atlantic United States using satellite telemetry, xxix, 260 p.","productDescription":"xxix, 260 p.","ipdsId":"IP-088069","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":349413,"type":{"id":15,"text":"Index 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Alicia 0000-0002-5275-3077 aberlin@usgs.gov","orcid":"https://orcid.org/0000-0002-5275-3077","contributorId":168416,"corporation":false,"usgs":true,"family":"Berlin","given":"Alicia","email":"aberlin@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":723754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilbert, Andrew","contributorId":194560,"corporation":false,"usgs":false,"family":"Gilbert","given":"Andrew","affiliations":[],"preferred":false,"id":723756,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, Carrie E.","contributorId":127669,"corporation":false,"usgs":false,"family":"Gray","given":"Carrie E.","affiliations":[{"id":25572,"text":"University of Maine, Orono","active":true,"usgs":false},{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 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golsen@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-6203","contributorId":40918,"corporation":false,"usgs":true,"family":"Olsen","given":"Glenn","email":"golsen@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":723761,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fiely, Jonathan","contributorId":200905,"corporation":false,"usgs":false,"family":"Fiely","given":"Jonathan","email":"","affiliations":[],"preferred":false,"id":723762,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Savoy, Lucas","contributorId":171896,"corporation":false,"usgs":false,"family":"Savoy","given":"Lucas","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":723763,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Goodale, M. Wing","contributorId":200906,"corporation":false,"usgs":false,"family":"Goodale","given":"M.","email":"","middleInitial":"Wing","affiliations":[],"preferred":false,"id":723764,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Burke, Chantelle","contributorId":200907,"corporation":false,"usgs":false,"family":"Burke","given":"Chantelle","email":"","affiliations":[],"preferred":false,"id":723765,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70194439,"text":"70194439 - 2017 - Estimating virus occurrence using Bayesian modeling in multiple drinking water systems of the United States","interactions":[],"lastModifiedDate":"2017-11-28T11:46:05","indexId":"70194439","displayToPublicDate":"2017-11-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Estimating virus occurrence using Bayesian modeling in multiple drinking water systems of the United States","docAbstract":"Drinking water treatment plants rely on purification of contaminated source waters to provide communities with potable water. One group of possible contaminants are enteric viruses. Measurement of viral quantities in environmental water systems are often performed using polymerase chain reaction (PCR) or quantitative PCR (qPCR). However, true values may be underestimated due to challenges involved in a multi-step viral concentration process and due to PCR inhibition. In this study, water samples were concentrated from 25 drinking water treatment plants (DWTPs) across the US to study the occurrence of enteric viruses in source water and removal after treatment. The five different types of viruses studied were adenovirus, norovirus GI, norovirus GII, enterovirus, and polyomavirus. Quantitative PCR was performed on all samples to determine presence or absence of these viruses in each sample. Ten DWTPs showed presence of one or more viruses in source water, with four DWTPs having treated drinking water testing positive. Furthermore, PCR inhibition was assessed for each sample using an exogenous amplification control, which indicated that all of the DWTP samples, including source and treated water samples, had some level of inhibition, confirming that inhibition plays an important role in PCR based assessments of environmental samples. PCR inhibition measurements, viral recovery, and other assessments were\nincorporated into a Bayesian model to more accurately determine viral load in both source and treated water. Results of the Bayesian model indicated that viruses are present in source water and treated water. By using a Bayesian framework that incorporates inhibition, as well as many other parameters that affect viral detection, this study offers an approach for more accurately estimating the occurrence of viral pathogens in environmental waters.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.10.267","usgsCitation":"Varughese, E.A., Brinkman, N., Anneken, E.M., Cashdollar, J.S., Fout, G., Furlong, E.T., Kolpin, D.W., Glassmeyer, S.T., and Keely, S.P., 2017, Estimating virus occurrence using Bayesian modeling in multiple drinking water systems of the United States: Science of the Total Environment, v. 619-620, p. 1330-1339, https://doi.org/10.1016/j.scitotenv.2017.10.267.","productDescription":"10 p.","startPage":"1330","endPage":"1339","ipdsId":"IP-089619","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":469298,"rank":0,"type":{"id":41,"text":"Open Access External Repository 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In this management-guided study, we use a very large suite of synthetic climate scenarios in a statistical modeling framework to simultaneously evaluate how (1) average temperature and precipitation changes, (2) initial basin conditions, and (3) temporal characteristics of the input climate data influence water-year flow in the Upper Colorado River. The results here suggest that existing studies may underestimate the degree of uncertainty in future streamflow, particularly under moderate temperature and precipitation changes. However, we also find that the relative severity of future flow projections within a given climate scenario can be estimated with simple metrics that characterize the input climate data and basin conditions. These results suggest that simple testing, like the analyses presented in this paper, may be helpful in understanding differences between existing studies or in identifying specific conditions for physically based mechanistic modeling. 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gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":723593,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodhouse, Connie A.","contributorId":187601,"corporation":false,"usgs":false,"family":"Woodhouse","given":"Connie","email":"","middleInitial":"A.","affiliations":[{"id":32413,"text":"University of Arizona, Tucson, AZ, USA, 85721","active":true,"usgs":false}],"preferred":false,"id":723595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":200854,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory","email":"gmccabe@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":723596,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194341,"text":"70194341 - 2017 - Regionalizing indicators for marine ecosystems: Bering Sea–Aleutian Island seabirds, climate, and competitors","interactions":[],"lastModifiedDate":"2017-11-28T11:11:23","indexId":"70194341","displayToPublicDate":"2017-11-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Regionalizing indicators for marine ecosystems: Bering Sea–Aleutian Island seabirds, climate, and competitors","docAbstract":"Seabirds are thought to be reliable, real-time indicators of forage fish availability and the climatic and\r\nbiotic factors affecting pelagic food webs in marine ecosystems. In this study, we tested the hypothesis\r\nthat temporal trends and interannual variability in seabird indicators reflect simultaneously occurring\r\nbottom-up (climatic) and competitor (pink salmon) forcing of food webs. To test this hypothesis, we\r\nderived multivariate seabird indicators for the Bering Sea–Aleutian Island (BSAI) ecosystem and related\r\nthem to physical and biological conditions known to affect pelagic food webs in the ecosystem. We\r\nexamined covariance in the breeding biology of congeneric pelagic gulls (kittiwakes Rissa tridactyla and\r\nR. brevirostris) andauks (murres Uria aalge and U. lomvia), all of whichare abundant and well-studiedinthe\r\nBSAI. At the large ecosystem scale, kittiwake and murre breeding success and phenology (hatch dates)\r\ncovaried among congeners, so data could be combined using multivariate techniques, but patterns of\r\nresponsedifferedsubstantially betweenthe genera.Whiledata fromall sites (n = 5)inthe ecosystemcould\r\nbe combined, the south eastern Bering Sea shelf colonies (St. George, St. Paul, and Cape Peirce) provided\r\nthe strongest loadings on indicators, and hence had the strongest influence on modes of variability. The\r\nkittiwake breeding success mode of variability, dominated by biennial variation, was significantly related\r\nto both climatic factors and potential competitor interactions. The murre indicator mode was interannual\r\nand only weakly related to the climatic factors measured. The kittiwake phenology indicator mode of\r\nvariability showed multi-year periods (“stanzas”) of late or early breeding, while the murre phenology\r\nindicator showed a trend towards earlier timing. Ocean climate relationships with the kittiwake breeding\r\nsuccess indicator suggestthat early-season (winter–spring) environmental conditions and the abundance\r\nof pink salmon affect the pelagic food webs that support these seabirds in the BSAI ecosystem.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2017.03.013","usgsCitation":"Sydeman, W., Thompson, S.A., Piatt, J.F., García-Reyes, M., Zador, S., Williams, J.C., Romano, M., and Renner, H., 2017, Regionalizing indicators for marine ecosystems: Bering Sea–Aleutian Island seabirds, climate, and competitors: Ecological Indicators, v. 78, p. 458-469, https://doi.org/10.1016/j.ecolind.2017.03.013.","productDescription":"12 p.","startPage":"458","endPage":"469","ipdsId":"IP-063143","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":349429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Aleutian Islands, Bering Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -188.7890625,\n              50.3454604086048\n            ],\n            [\n              -156.88476562499997,\n              50.3454604086048\n            ],\n            [\n              -156.88476562499997,\n              60.54377524118842\n            ],\n            [\n              -188.7890625,\n              60.54377524118842\n            ],\n            [\n              -188.7890625,\n              50.3454604086048\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"78","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb00e4b06e28e9c22ade","contributors":{"authors":[{"text":"Sydeman, William J.","contributorId":172574,"corporation":false,"usgs":false,"family":"Sydeman","given":"William J.","affiliations":[],"preferred":false,"id":723371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Sarah Ann","contributorId":198394,"corporation":false,"usgs":false,"family":"Thompson","given":"Sarah","email":"","middleInitial":"Ann","affiliations":[],"preferred":false,"id":723372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":723370,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"García-Reyes, Marisol","contributorId":200914,"corporation":false,"usgs":false,"family":"García-Reyes","given":"Marisol","affiliations":[],"preferred":false,"id":723373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zador, Stephani","contributorId":60992,"corporation":false,"usgs":false,"family":"Zador","given":"Stephani","affiliations":[],"preferred":false,"id":723374,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, Jeffrey C.","contributorId":126882,"corporation":false,"usgs":false,"family":"Williams","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":723375,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Romano, Marc","contributorId":200806,"corporation":false,"usgs":false,"family":"Romano","given":"Marc","affiliations":[],"preferred":false,"id":723376,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Renner, Heather","contributorId":200807,"corporation":false,"usgs":false,"family":"Renner","given":"Heather","affiliations":[],"preferred":false,"id":723377,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70194352,"text":"70194352 - 2017 - Spatially explicit dynamic N-mixture models","interactions":[],"lastModifiedDate":"2017-11-28T10:51:21","indexId":"70194352","displayToPublicDate":"2017-11-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3103,"text":"Population Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Spatially explicit dynamic N-mixture models","docAbstract":"Knowledge of demographic parameters such as survival, reproduction, emigration, and immigration is essential to understand metapopulation dynamics. Traditionally the estimation of these demographic parameters requires intensive data from marked animals. The development of dynamic N-mixture models makes it possible to estimate demographic parameters from count data of unmarked animals, but the original dynamic N-mixture model does not distinguish emigration and immigration from survival and reproduction, limiting its ability to explain important metapopulation processes such as movement among local populations. In this study we developed a spatially explicit dynamic N-mixture model that estimates survival, reproduction, emigration, local population size, and detection probability from count data under the assumption that movement only occurs among adjacent habitat patches. Simulation studies showed that the inference of our model depends on detection probability, local population size, and the implementation of robust sampling design. Our model provides reliable estimates of survival, reproduction, and emigration when detection probability is high, regardless of local population size or the type of sampling design. When detection probability is low, however, our model only provides reliable estimates of survival, reproduction, and emigration when local population size is moderate to high and robust sampling design is used. A sensitivity analysis showed that our model is robust against the violation of the assumption that movement only occurs among adjacent habitat patches, suggesting wide applications of this model. Our model can be used to improve our understanding of metapopulation dynamics based on count data that are relatively easy to collect in many systems.","language":"English","doi":"10.1007/s10144-017-0600-7","usgsCitation":"Zhao, Q., Royle, A., and Boomer, G., 2017, Spatially explicit dynamic N-mixture models: Population Ecology, v. 59, no. 4, p. 293-300, https://doi.org/10.1007/s10144-017-0600-7.","productDescription":"8 p.","startPage":"293","endPage":"300","ipdsId":"IP-090072","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":349425,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-20","publicationStatus":"PW","scienceBaseUri":"5a60faffe4b06e28e9c22ad4","contributors":{"authors":[{"text":"Zhao, Qing","contributorId":174370,"corporation":false,"usgs":false,"family":"Zhao","given":"Qing","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":723793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":723432,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boomer, G. Scott","contributorId":84603,"corporation":false,"usgs":true,"family":"Boomer","given":"G. Scott","affiliations":[],"preferred":false,"id":723794,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194372,"text":"70194372 - 2017 - Factors influencing uptake of sylvatic plague vaccine baits by prairie dogs","interactions":[],"lastModifiedDate":"2023-06-21T15:23:53.765649","indexId":"70194372","displayToPublicDate":"2017-11-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1443,"text":"EcoHealth","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing uptake of sylvatic plague vaccine baits by prairie dogs","docAbstract":"Sylvatic plague vaccine (SPV) is a virally vectored bait-delivered vaccine expressing Yersinia pestis antigens that can protect prairie dogs (Cynomys spp.) from plague and has potential utility as a management tool. In a large-scale 3-year field trial, SPV-laden baits containing the biomarker rhodamine B (used to determine bait consumption) were distributed annually at a rate of approximately 100–125 baits/hectare along transects at 58 plots encompassing the geographic ranges of four species of prairie dogs. We assessed site- and individual-level factors related to bait uptake in prairie dogs to determine which were associated with bait uptake rates. Overall bait uptake for 7820 prairie dogs sampled was 70% (95% C.I. 69.9–72.0). Factors influencing bait uptake rates by prairie dogs varied by species, however, in general, heavier animals had greater bait uptake rates. Vegetation quality and day of baiting influenced this relationship for black-tailed, Gunnison’s, and Utah prairie dogs. For these species, baiting later in the season, when normalized difference vegetation indices (a measure of green vegetation density) are lower, improves bait uptake by smaller animals. Consideration of these factors can aid in the development of species-specific SPV baiting strategies that maximize bait uptake and subsequent immunization of prairie dogs against plague.","language":"English","publisher":"Springer","doi":"10.1007/s10393-017-1294-1","usgsCitation":"Abbott, R.C., Russell, R.E., Richgels, K., Tripp, D.W., Matchett, M.R., Biggins, D.E., and Rocke, T.E., 2017, Factors influencing uptake of sylvatic plague vaccine baits by prairie dogs: EcoHealth, v. 15, no. 1, p. 12-22, https://doi.org/10.1007/s10393-017-1294-1.","productDescription":"11 p.; Data Release","startPage":"12","endPage":"22","ipdsId":"IP-089024","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":349421,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418296,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7X92968"}],"volume":"15","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-20","publicationStatus":"PW","scienceBaseUri":"5a60faffe4b06e28e9c22acf","contributors":{"authors":[{"text":"Abbott, Rachel C. 0000-0003-4820-9295 rabbott@usgs.gov","orcid":"https://orcid.org/0000-0003-4820-9295","contributorId":1183,"corporation":false,"usgs":true,"family":"Abbott","given":"Rachel","email":"rabbott@usgs.gov","middleInitial":"C.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":723547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Russell, Robin E. 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":3998,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":723548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richgels, Katherine 0000-0003-2834-9477 krichgels@usgs.gov","orcid":"https://orcid.org/0000-0003-2834-9477","contributorId":167016,"corporation":false,"usgs":true,"family":"Richgels","given":"Katherine","email":"krichgels@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":723549,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tripp, Daniel W.","contributorId":17910,"corporation":false,"usgs":false,"family":"Tripp","given":"Daniel","email":"","middleInitial":"W.","affiliations":[{"id":13449,"text":"Colorado Division of Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":723552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matchett, Marc R.","contributorId":193409,"corporation":false,"usgs":false,"family":"Matchett","given":"Marc","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":723553,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":723550,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":723551,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
]}