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agreement.<br></li><li>SSM showed the highest correlation with surface soil moisture (0-5 cm) and a strong correlation to depths up to 20 cm.<br></li><li>SSM showed a reliable and expected response of capturing seasonal dynamics in relation to precipitation, land surface temperature, and evapotranspiration.<br></li><li>Further evaluation using multi-year SMAP datasets is necessary to quantify the full benefits and limitations for drought monitoring in rangelands.<br></li></ul></p><p><br></p><p></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rala.2016.06.002","usgsCitation":"Velpuri, N.M., Senay, G.B., and Morisette, J.T., 2016, Evaluating new SMAP soil moisture for drought monitoring in the rangelands of the US High Plains: Rangelands, v. 38, no. 4, p. 183-190, https://doi.org/10.1016/j.rala.2016.06.002.","productDescription":"8 p.","startPage":"183","endPage":"190","ipdsId":"IP-075375","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470359,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rala.2016.06.002","text":"Publisher Index Page"},{"id":336107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"38","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b002c6e4b01ccd54fb27c9","contributors":{"authors":[{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926 nvelpuri@usgs.gov","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":166813,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga","email":"nvelpuri@usgs.gov","middleInitial":"Manohar","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":671253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 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,{"id":70185750,"text":"70185750 - 2016 - Isotope-abundance variations and atomic weights of selected elements: 2016 (IUPAC Technical Report)","interactions":[],"lastModifiedDate":"2017-03-29T09:54:05","indexId":"70185750","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3207,"text":"Pure and Applied Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Isotope-abundance variations and atomic weights of selected elements: 2016 (IUPAC Technical Report)","docAbstract":"<p><span>There are 63 chemical elements that have two or more isotopes that are used to determine their standard atomic weights. The isotopic abundances and atomic weights of these elements can vary in normal materials due to physical and chemical fractionation processes (not due to radioactive decay). These variations are well known for 12 elements (hydrogen, lithium, boron, carbon, nitrogen, oxygen, magnesium, silicon, sulfur, chlorine, bromine, and thallium), and the standard atomic weight of each of these elements is given by IUPAC as an interval with lower and upper bounds. Graphical plots of selected materials and compounds of each of these elements have been published previously. Herein and at the URL </span><a title=\"\" href=\"http://dx.doi.org/10.5066/F7GF0RN2\" target=\"_blank\" data-mce-href=\"http://dx.doi.org/10.5066/F7GF0RN2\">http://dx.doi.org/10.5066/F7GF0RN2</a><span>, we provide isotopic abundances, isotope-delta values, and atomic weights for each of the upper and lower bounds of these materials and compounds.</span></p>","language":"English","publisher":"De Gruyter","doi":"10.1515/pac-2016-0302","usgsCitation":"Coplen, T.B., and Shrestha, Y., 2016, Isotope-abundance variations and atomic weights of selected elements: 2016 (IUPAC Technical Report): Pure and Applied Chemistry, v. 88, no. 12, p. 1203-1224, https://doi.org/10.1515/pac-2016-0302.","productDescription":"22 p.","startPage":"1203","endPage":"1224","ipdsId":"IP-078266","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":462025,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1515/pac-2016-0302","text":"Publisher Index Page"},{"id":438496,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GF0RN2","text":"USGS data release","linkHelpText":"Tables and charts for isotope-abundance variations and atomic weights of selected elements: 2016"},{"id":338532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-06","publicationStatus":"PW","scienceBaseUri":"58dcc7d5e4b02ff32c685677","contributors":{"authors":[{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":686647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shrestha, Yesha 0000-0002-9714-8516 yshrestha@usgs.gov","orcid":"https://orcid.org/0000-0002-9714-8516","contributorId":189970,"corporation":false,"usgs":true,"family":"Shrestha","given":"Yesha","email":"yshrestha@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":686648,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70185017,"text":"70185017 - 2016 - Managing climate change refugia for climate adaptation","interactions":[],"lastModifiedDate":"2020-07-28T15:28:05.150551","indexId":"70185017","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Managing climate change refugia for climate adaptation","docAbstract":"<p><span>Refugia have long been studied from paleontological and biogeographical perspectives to understand how populations persisted during past periods of unfavorable climate. Recently, researchers have applied the idea to contemporary landscapes to identify climate change refugia, here defined as areas relatively buffered from contemporary climate change over time that enable persistence of valued physical, ecological, and socio-cultural resources. We differentiate historical and contemporary views, and characterize physical and ecological processes that create and maintain climate change refugia. We then delineate how refugia can fit into existing decision support frameworks for climate adaptation and describe seven steps for managing them. Finally, we identify challenges and opportunities for operationalizing the concept of climate change refugia. Managing climate change refugia can be an important option for conservation in the face of ongoing climate change.</span></p>","language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0159909","usgsCitation":"Morelli, T.L., and Jackson, S.T., 2016, Managing climate change refugia for climate adaptation: PLoS ONE, v. 11, no. 8, e0159909, 17 p., https://doi.org/10.1371/journal.pone.0159909.","productDescription":"e0159909, 17 p.","ipdsId":"IP-065944","costCenters":[{"id":41705,"text":"Northeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":470388,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0159909","text":"Publisher Index Page"},{"id":337518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-10","publicationStatus":"PW","scienceBaseUri":"58c90124e4b0849ce97abcc5","contributors":{"authors":[{"text":"Morelli, Toni L. 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":189143,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":false,"id":683962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, Stephen T. 0000-0002-1487-4652 stjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":344,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","email":"stjackson@usgs.gov","middleInitial":"T.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":560,"text":"South Central Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":683961,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70182799,"text":"70182799 - 2016 - Indications of a positive feedback between coastal development and beach nourishment","interactions":[],"lastModifiedDate":"2017-03-01T13:40:22","indexId":"70182799","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Indications of a positive feedback between coastal development and beach nourishment","docAbstract":"Beach nourishment, a method for mitigating coastal storm damage or chronic erosion by deliberately replacing sand on an eroded beach, has been the leading form of coastal protection in the U.S. for four decades. However, investment in hazard protection can have the unintended consequence of encouraging development in places especially vulnerable to damage. In a comprehensive, parcel-scale analysis of all shorefront single-family homes in the state of Florida, we find that houses in nourishing zones are significantly larger and more numerous than in non-nourishing zones. The predominance of larger homes in nourishing zones suggests a positive feedback between nourishment and development that is compounding coastal risk in zones already characterized by high vulnerability.","language":"English","publisher":"Wiley","doi":"10.1002/2016EF000425","collaboration":"Eli Lazarus, Scott Armstrong, Evan Goldstein, Curtis Thorpe, Rhoda Ballenger","usgsCitation":"Armstrong, S., Lazarus, E.D., Limber, P.W., Goldstein, E.B., Thorpe, C., and Ballinger, R., 2016, Indications of a positive feedback between coastal development and beach nourishment: Earth's Future, v. 4, no. 12, p. 626-635, https://doi.org/10.1002/2016EF000425.","productDescription":"10 p.","startPage":"626","endPage":"635","ipdsId":"IP-074268","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":462011,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016ef000425","text":"Publisher Index Page"},{"id":336759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":336352,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1002/2016EF000425/full"}],"volume":"4","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-21","publicationStatus":"PW","scienceBaseUri":"58b7eba5e4b01ccd5500baed","contributors":{"authors":[{"text":"Armstrong, Scott 0000-0001-9567-5964","orcid":"https://orcid.org/0000-0001-9567-5964","contributorId":184208,"corporation":false,"usgs":false,"family":"Armstrong","given":"Scott","email":"","affiliations":[],"preferred":false,"id":673791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lazarus, Eli D. 0000-0003-2404-9661","orcid":"https://orcid.org/0000-0003-2404-9661","contributorId":184209,"corporation":false,"usgs":false,"family":"Lazarus","given":"Eli","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":673792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Limber, Patrick W. 0000-0002-8207-3750 plimber@usgs.gov","orcid":"https://orcid.org/0000-0002-8207-3750","contributorId":5773,"corporation":false,"usgs":true,"family":"Limber","given":"Patrick","email":"plimber@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":673790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldstein, Evan B. 0000-0001-9358-1016","orcid":"https://orcid.org/0000-0001-9358-1016","contributorId":184210,"corporation":false,"usgs":false,"family":"Goldstein","given":"Evan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":673793,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thorpe, Curtis","contributorId":184211,"corporation":false,"usgs":false,"family":"Thorpe","given":"Curtis","email":"","affiliations":[],"preferred":false,"id":673794,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ballinger, Rhoda","contributorId":184212,"corporation":false,"usgs":false,"family":"Ballinger","given":"Rhoda","email":"","affiliations":[],"preferred":false,"id":673795,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70186173,"text":"70186173 - 2016 - White-tailed deer (Odocoileus virginianus) subsidize gray wolves (Canis lupus) during a moose (Alces americanus) decline: A case of apparent competition?","interactions":[],"lastModifiedDate":"2017-03-30T15:15:38","indexId":"70186173","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1163,"text":"Canadian Field-Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"White-tailed deer (Odocoileus virginianus) subsidize gray wolves (Canis lupus) during a moose (Alces americanus) decline: A case of apparent competition?","docAbstract":"<p><span>Moose (</span><i>Alces americanus</i><span>) in northeastern Minnesota have declined by 55% since 2006. Although the cause is unresolved, some studies have suggested that Gray Wolves (</span><i>Canis lupus</i><span>) contributed to the decline. After the Moose decline, wolves could either decline or switch prey. To determine which occurred in our study area, we compared winter wolf counts and summer diet before and after the Moose decline. While wolf numbers in our study area nearly doubled from 23 in winter 2002 to an average of 41 during winters 2011–2013, calf:cow ratios (the number of calves per cow observed during winter surveys) in the wider Moose range more than halved from 0.93 in 2002 to an average of 0.31 during 2011–2013. Compared to summer 2002, wolves in summers 2011–2013 consumed fewer Moose and more White-tailed Deer (</span><i>Odocoileus virginianus</i><span>). While deer densities were similar during each period, average vulnerability, as reflected by winter severity, was greater during 2011–2013 than 2002, probably explaining the wolf increase. During the wolf increase Moose calves remained a summer food item. These findings suggest that in part of the Moose range, deer subsidized wolf numbers while wolves also preyed on Moose calves. This contributed to a Moose decline and is a possible case of apparent competition and inverse-density-dependent predation.</span></p>","language":"English","publisher":"Canadian Journal of Zoology","doi":"10.22621/cfn.v130i4.1924","usgsCitation":"Barber-Meyer, S., and Mech, L.D., 2016, White-tailed deer (Odocoileus virginianus) subsidize gray wolves (Canis lupus) during a moose (Alces americanus) decline: A case of apparent competition?: Canadian Field-Naturalist, v. 130, no. 4, p. 308-314, https://doi.org/10.22621/cfn.v130i4.1924.","productDescription":"7 p.","startPage":"308","endPage":"314","ipdsId":"IP-074112","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470353,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.22621/cfn.v130i4.1924","text":"Publisher Index Page"},{"id":338842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-29","publicationStatus":"PW","scienceBaseUri":"58de194fe4b02ff32c699ca5","contributors":{"authors":[{"text":"Barber-Meyer, Shannon 0000-0002-3048-2616 sbarber-meyer@usgs.gov","orcid":"https://orcid.org/0000-0002-3048-2616","contributorId":173861,"corporation":false,"usgs":true,"family":"Barber-Meyer","given":"Shannon","email":"sbarber-meyer@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":687746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":687747,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70182203,"text":"70182203 - 2016 - Historical reconstructions of California wildfires vary by data source","interactions":[],"lastModifiedDate":"2017-02-21T10:35:06","indexId":"70182203","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Historical reconstructions of California wildfires vary by data source","docAbstract":"<p><span>Historical data are essential for understanding how fire activity responds to different drivers. It is important that the source of data is commensurate with the spatial and temporal scale of the question addressed, but fire history databases are derived from different sources with different restrictions. In California, a frequently used fire history dataset is the State of California Fire and Resource Assessment Program (FRAP) fire history database, which circumscribes fire perimeters at a relatively fine scale. It includes large fires on both state and federal lands but only covers fires that were mapped or had other spatially explicit data. A different database is the state and federal governments’ annual reports of all fires. They are more complete than the FRAP database but are only spatially explicit to the level of county (California Department of Forestry and Fire Protection – Cal Fire) or forest (United States Forest Service – USFS). We found substantial differences between the FRAP database and the annual summaries, with the largest and most consistent discrepancy being in fire frequency. The FRAP database missed the majority of fires and is thus a poor indicator of fire frequency or indicators of ignition sources. The FRAP database is also deficient in area burned, especially before 1950. Even in contemporary records, the huge number of smaller fires not included in the FRAP database account for substantial cumulative differences in area burned. Wildfires in California account for nearly half of the western United States fire suppression budget. Therefore, the conclusions about data discrepancies and the implications for fire research are of broad importance.</span></p>","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WF16050","usgsCitation":"Syphard, A.D., and Keeley, J.E., 2016, Historical reconstructions of California wildfires vary by data source: International Journal of Wildland Fire, v. 25, p. 1221-1227, https://doi.org/10.1071/WF16050.","productDescription":"7 p.","startPage":"1221","endPage":"1227","ipdsId":"IP-070536","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":335863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"25","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ad5fc1e4b01ccd54f8b51b","contributors":{"authors":[{"text":"Syphard, Alexandra D.","contributorId":8977,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":669971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":669970,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70182518,"text":"70182518 - 2016 - Hanging out at the airport: Unusual upside-down perching behavior by Eurasian Jackdaws (Corvus monedula) in a human-dominated environment","interactions":[],"lastModifiedDate":"2018-03-26T11:49:17","indexId":"70182518","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Hanging out at the airport: Unusual upside-down perching behavior by Eurasian Jackdaws (<i>Corvus monedula</i>) in a human-dominated environment","title":"Hanging out at the airport: Unusual upside-down perching behavior by Eurasian Jackdaws (Corvus monedula) in a human-dominated environment","docAbstract":"<p><span>Animals occupying human-dominated environments show the capacity for behavioral flexibility. Corvids are among the most intelligent synanthropic bird species. During a layover at Schipol Airport in Amsterdam, Netherlands, I photographically documented Eurasian Jackdaws (</span><i><i>Corvus monedula</i>)</i><span> perching upside down from a building cornice. In contrast to other reports of hanging birds, these jackdaws did not forage or play while upside down and appeared to use the perching spot to observe their surroundings. Although Corvids and Psittacines are known to hang upside down, especially in captive situations, such behaviors are rarely documented in the wild, and never before in association with human-built structures.</span></p>","language":"English","publisher":"The Wilson Ornithological Society","doi":"10.1676/15-211.1","usgsCitation":"Katzner, T., 2016, Hanging out at the airport: Unusual upside-down perching behavior by Eurasian Jackdaws (Corvus monedula) in a human-dominated environment: Wilson Journal of Ornithology, v. 128, no. 4, p. 926-930, https://doi.org/10.1676/15-211.1.","productDescription":"5 p.","startPage":"926","endPage":"930","ipdsId":"IP-071449","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":336169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"128","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b15439e4b01ccd54fc5e9f","contributors":{"authors":[{"text":"Katzner, Todd E.","contributorId":18893,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","affiliations":[],"preferred":false,"id":671386,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70182236,"text":"70182236 - 2016 - The relative contributions of disease and insects in the decline of a long-lived tree: a stochastic demographic model of whitebark pine (Pinus albicaulis)","interactions":[],"lastModifiedDate":"2017-02-22T16:01:15","indexId":"70182236","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"The relative contributions of disease and insects in the decline of a long-lived tree: a stochastic demographic model of whitebark pine (Pinus albicaulis)","docAbstract":"<p><span>Pathogens and insect pests have become increasingly important drivers of tree mortality in forested ecosystems. Unfortunately, understanding the relative contributions of multiple mortality agents to the population decline of trees is difficult, because it requires frequent measures of tree survival, growth, and recruitment, as well as the incidence of mortality agents. We present a population model of whitebark pine (</span><i>Pinus albicaulis</i><span>), a high-elevation tree undergoing rapid decline in western North America. The loss of whitebark pine is thought to be primarily due to an invasive pathogen (white pine blister rust; </span><i>Cronartium ribicola</i><span>) and a native insect (mountain pine beetle; </span><i>Dendroctonus ponderosae</i><span>). We utilized seven plots in Crater Lake National Park (Oregon, USA) where 1220 trees were surveyed for health and the presence of blister rust and beetle activity annually from 2003–2014, except 2008. We constructed size-based projection matrices for nine years and calculated the deterministic growth rate (λ) using an average matrix and the stochastic growth rate (λ</span><sub>s</sub><span>) by simulation for whitebark pine in our study population. We then assessed the roles of blister rust and beetles by calculating λ and λ</span><sub>s</sub><span>using matrices in which we removed trees with blister rust and, separately, trees with beetles. We also conducted life-table response experiments (LTRE) to determine which demographic changes contributed most to differences in λ between ambient conditions and the two other scenarios. The model suggests that whitebark pine in our plots are currently declining 1.1% per year (λ&nbsp;=&nbsp;0.9888, λ</span><sub>s</sub><span>&nbsp;=&nbsp;0.9899). Removing blister rust from the models resulted in almost no increase in growth (λ&nbsp;=&nbsp;0.9916, λ</span><sub>s</sub><span>&nbsp;=&nbsp;0.9930), while removing beetles resulted in a larger increase in growth (λ&nbsp;=&nbsp;1.0028, λ</span><sub>s</sub><span>&nbsp;=&nbsp;1.0045). The LTRE demonstrated that reductions in stasis of the three largest size classes due to beetles contributed most to the smaller λ in the ambient condition. Our work demonstrates a method for assessing the relative effects of different mortality agents on declining tree populations, and it shows that the effects of insects and pathogens can be markedly different from one another. In our study, beetle activity significantly reduced tree population growth while a pathogen had minimal effect, thus management actions to stabilize our study population will likely need to include reducing beetle activity.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2016.09.022","usgsCitation":"Jules, E., Jackson, J.I., van Mantgem, P.J., Beck, J.S., Murray, M.P., and Sahara, E.A., 2016, The relative contributions of disease and insects in the decline of a long-lived tree: a stochastic demographic model of whitebark pine (Pinus albicaulis): Forest Ecology and Management, v. 381, p. 144-156, https://doi.org/10.1016/j.foreco.2016.09.022.","productDescription":"13 p.","startPage":"144","endPage":"156","ipdsId":"IP-075247","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470354,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2016.09.022","text":"Publisher Index Page"},{"id":336015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"381","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58aeb13be4b01ccd54f9ee18","chorus":{"doi":"10.1016/j.foreco.2016.09.022","url":"http://dx.doi.org/10.1016/j.foreco.2016.09.022","publisher":"Elsevier BV","authors":"Jules Erik S., Jackson Jenell I., van Mantgem Phillip J., Beck Jennifer S., Murray Michael P., Sahara E. April","journalName":"Forest Ecology and Management","publicationDate":"12/2016"},"contributors":{"authors":[{"text":"Jules, Erik S","contributorId":181945,"corporation":false,"usgs":false,"family":"Jules","given":"Erik S","affiliations":[],"preferred":false,"id":670110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, Jenell I.","contributorId":181946,"corporation":false,"usgs":false,"family":"Jackson","given":"Jenell","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":670111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422 pvanmantgem@usgs.gov","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":2838,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip","email":"pvanmantgem@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":670109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beck, Jennifer S.","contributorId":181947,"corporation":false,"usgs":false,"family":"Beck","given":"Jennifer","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":670112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murray, Michael P.","contributorId":181948,"corporation":false,"usgs":false,"family":"Murray","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":670113,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sahara, E. April","contributorId":181949,"corporation":false,"usgs":false,"family":"Sahara","given":"E.","email":"","middleInitial":"April","affiliations":[],"preferred":false,"id":670114,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70184337,"text":"70184337 - 2016 - Deciduous trees are a large and overlooked sink for snowmelt water in the boreal forest","interactions":[],"lastModifiedDate":"2017-03-07T15:45:52","indexId":"70184337","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Deciduous trees are a large and overlooked sink for snowmelt water in the boreal forest","docAbstract":"<p><span>The terrestrial water cycle contains large uncertainties that impact our understanding of water budgets and climate dynamics. Water storage is a key uncertainty in the boreal water budget, with tree water storage often ignored. The goal of this study is to quantify tree water content during the snowmelt and growing season periods for Alaskan and western Canadian boreal forests. Deciduous trees reached saturation between snowmelt and leaf-out, taking up 21–25% of the available snowmelt water, while coniferous trees removed &lt;1%. We found that deciduous trees removed 17.8–20.9 billion m</span><sup>3</sup><span> of snowmelt water, which is equivalent to 8.7–10.2% of the Yukon River’s annual discharge. Deciduous trees transpired 2–12% (0.4–2.2 billion m</span><sup>3</sup><span>) of the absorbed snowmelt water immediately after leaf-out, increasing favorable conditions for atmospheric convection, and an additional 10–30% (2.0–5.2 billion m</span><sup>3</sup><span>) between leaf-out and mid-summer. By 2100, boreal deciduous tree area is expected to increase by 1–15%, potentially resulting in an additional 0.3–3 billion m</span><sup>3</sup><span> of snowmelt water removed from the soil per year. This study is the first to show that deciduous tree water uptake of snowmelt water represents a large but overlooked aspect of the water balance in boreal watersheds.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/srep29504","usgsCitation":"Young, J., Bolton, W.R., Bhatt, U., Cristobal, J., and Thoman, R., 2016, Deciduous trees are a large and overlooked sink for snowmelt water in the boreal forest: Scientific Reports, v. 6, p. 1-10, https://doi.org/10.1038/srep29504.","productDescription":"Article 29504; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-070469","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":470389,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep29504","text":"Publisher Index Page"},{"id":336967,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-12","publicationStatus":"PW","scienceBaseUri":"58bfd4f1e4b014cc3a3ba490","contributors":{"authors":[{"text":"Young, Jessica jmyoung@usgs.gov","contributorId":187609,"corporation":false,"usgs":true,"family":"Young","given":"Jessica","email":"jmyoung@usgs.gov","affiliations":[],"preferred":true,"id":681043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bolton, W. Robert","contributorId":187610,"corporation":false,"usgs":false,"family":"Bolton","given":"W.","email":"","middleInitial":"Robert","affiliations":[],"preferred":false,"id":681044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bhatt, Uma","contributorId":187611,"corporation":false,"usgs":false,"family":"Bhatt","given":"Uma","affiliations":[],"preferred":false,"id":681045,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cristobal, Jordi","contributorId":187612,"corporation":false,"usgs":false,"family":"Cristobal","given":"Jordi","email":"","affiliations":[],"preferred":false,"id":681046,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thoman, Richard","contributorId":187613,"corporation":false,"usgs":false,"family":"Thoman","given":"Richard","affiliations":[],"preferred":false,"id":681047,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70182061,"text":"70182061 - 2016 - Application of ground penetrating radar for identification of washover deposits and other stratigraphic features: Assateague Island, MD","interactions":[],"lastModifiedDate":"2025-05-13T16:45:38.273515","indexId":"70182061","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3928,"text":"Journal of Environmental & Engineering Geophysics","printIssn":"1083-1363","active":true,"publicationSubtype":{"id":10}},"title":"Application of ground penetrating radar for identification of washover deposits and other stratigraphic features: Assateague Island, MD","docAbstract":"<p><span>A combination of ground penetrating radar (GPR) data, core data, and aerial photographs were analyzed to better understand the evolution of two portions of Assateague Island, Maryland. The focus of the study was to investigate the applicability of using GPR data to image washover deposits in the stratigraphic record. High amplitude reflections observed in two shore-perpendicular GPR profiles were correlated to shallow (&lt;1 m) lithologic contacts observed in sediment cores. At these contacts, deposits consisting primarily of quartz sand overlie sediments with organic matter that include degraded plant root or stem material. The underlying organic matter likely represents the vegetated portion of the barrier island that was buried by washover fans deposited during hurricanes Irene (2011) and Sandy (2012), as indicated in high-resolution aerial photographs. The GPR data were able to delineate the washover deposits from the underlying stratigraphic unit; however, the radar data did not resolve finer structures necessary to definitively differentiate washover facies from other sand-rich deposits (</span><i>e.g.,</i><span><span>&nbsp;</span>flood-tide deltas and dunes). Other GPR profiles contain reflections that likely correlate to geomorphic features like tidal channels and vegetated zones observed in historical aerial imagery. Burial of these features by overwash fluxes were observed in the aerial imagery and thus the resulting radar sequence is largely interpreted as washover deposits. Deeper, channel-like features that have been infilled were also observed in shore-parallel profiles and these features coincide with scour channels observed in the 1966 aerial photography. Additional sedimentological data are required to determine what role overwash played in the in-filling of these features.</span></p>","language":"English","publisher":"Environmental & Engineering Geophysical Society","doi":"10.2113/JEEG21.4.173","usgsCitation":"Zaremba, N., Smith, C.G., Bernier, J., and Forde, A.S., 2016, Application of ground penetrating radar for identification of washover deposits and other stratigraphic features: Assateague Island, MD: Journal of Environmental & Engineering Geophysics, v. 21, no. 4, p. 173-186, https://doi.org/10.2113/JEEG21.4.173.","productDescription":"14 p.","startPage":"173","endPage":"186","ipdsId":"IP-074256","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":337659,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52cde4b0849ce97c86a0","contributors":{"authors":[{"text":"Zaremba, Nicholas 0000-0002-2361-2881 nzaremba@usgs.gov","orcid":"https://orcid.org/0000-0002-2361-2881","contributorId":181756,"corporation":false,"usgs":true,"family":"Zaremba","given":"Nicholas","email":"nzaremba@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":669428,"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":669429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bernier, Julie 0000-0002-9918-5353 jbernier@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-5353","contributorId":3549,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","email":"jbernier@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":669430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forde, Arnell S. 0000-0002-5581-2255 aforde@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":376,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","email":"aforde@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":669431,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70184966,"text":"70184966 - 2016 - Toward a national, sustained U.S. ecosystem assessment","interactions":[],"lastModifiedDate":"2017-03-15T12:11:20","indexId":"70184966","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Toward a national, sustained U.S. ecosystem assessment","docAbstract":"<p><span>The massive investment of resources devoted to monitoring and assessment of economic and societal indicators in the United States is neither matched by nor linked to efforts to monitor and assess the ecosystem services and biodiversity that support economic and social well-being. Although national-scale assessments of biodiversity (</span><i>1</i><span>) and ecosystem indicators (</span><i>2</i><span>) have been undertaken, nearly a decade has elapsed since the last systematic assessment (</span><i>2</i><span>). A 2011 White House report called for a national biodiversity and ecosystem services assessment (</span><i>3</i><span>), but the initiative has stalled. Our aim here is to stimulate the process and outline a credible framework and pathway for an ongoing assessment of ecosystem functioning (see the photo). A national assessment should engage diverse stakeholders from multiple sectors of society and should focus on metrics and analyses of direct relevance to policy decisions, from local to national levels. Although many technical or science-focused components are in place, they need to be articulated, distilled, and organized to address policy issues.</span></p>","language":"English","publisher":"Science","doi":"10.1126/science.aah5750","usgsCitation":"Jackson, S.T., Duke, C.S., Hampton, S.E., Jacobs, K.L., Joppa, L.N., Kassam, K.S., Mooney, H.A., Ogden, L.A., Ruckelshaus, M., and Shogren, J.F., 2016, Toward a national, sustained U.S. ecosystem assessment: Science, v. 354, no. 6314, p. 838-839, https://doi.org/10.1126/science.aah5750.","productDescription":"2 p.","startPage":"838","endPage":"839","ipdsId":"IP-079823","costCenters":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":337616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"354","issue":"6314","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52cce4b0849ce97c869e","contributors":{"authors":[{"text":"Jackson, Stephen T. 0000-0002-1487-4652 stjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":344,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","email":"stjackson@usgs.gov","middleInitial":"T.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":560,"text":"South Central Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":683731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duke, Clifford S.","contributorId":189054,"corporation":false,"usgs":false,"family":"Duke","given":"Clifford","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":683732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hampton, Stephanie E.","contributorId":178718,"corporation":false,"usgs":false,"family":"Hampton","given":"Stephanie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":683733,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacobs, Katharine L.","contributorId":189055,"corporation":false,"usgs":false,"family":"Jacobs","given":"Katharine","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":683734,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Joppa, Lucas N.","contributorId":99905,"corporation":false,"usgs":false,"family":"Joppa","given":"Lucas","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":683735,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kassam, Karim-Aly S. K.","contributorId":189056,"corporation":false,"usgs":false,"family":"Kassam","given":"Karim-Aly","email":"","middleInitial":"S. K.","affiliations":[],"preferred":false,"id":683736,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mooney, Harold A.","contributorId":172852,"corporation":false,"usgs":false,"family":"Mooney","given":"Harold","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":683737,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ogden, Laura A.","contributorId":189057,"corporation":false,"usgs":false,"family":"Ogden","given":"Laura","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":683738,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ruckelshaus, Mary","contributorId":189058,"corporation":false,"usgs":false,"family":"Ruckelshaus","given":"Mary","affiliations":[],"preferred":false,"id":683739,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shogren, Jason F.","contributorId":189059,"corporation":false,"usgs":false,"family":"Shogren","given":"Jason","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":683740,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70185567,"text":"70185567 - 2016 - A biographical memoir of Donald Edward White","interactions":[],"lastModifiedDate":"2017-04-04T15:16:43","indexId":"70185567","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"title":"A biographical memoir of Donald Edward White","docAbstract":"<p>Donald E. White was a leading scientist for the U.S. Geological Survey, where his career was devoted almost entirely to the study of hydrothermal processes in the Earth’s crust, from the dual perspectives of active geothermal systems and of extinct hydrothermal systems now represented only by ore deposits and alteration patterns. White was devoted to analyzing the mechanisms by which ore-forming metals are concentrated, transported, and deposited. His early work on antimony deposits and on mercury transport led to the understanding that these elements, as well as some precious metals, were concentrated in hydrothermal convection systems characterized by dilute chloride waters of predominantly meteoric origin. He concluded, on the other hand, that base metals required more concentrated brines, as was impressively confirmed in the early 1960s by the discovery of the metal-rich fluids of the Salton Sea geothermal system and subsequently by the recognition of sulfide-depositing hydrothermal systems on the sea floor. His studies of active hot-spring systems elucidated the principles of geyser activity and provided the scientific foundation for research programs aimed at the understanding of geothermal systems throughout the world.</p>","language":"English","publisher":"National Academy of Sciences","usgsCitation":"Muffler, L.P., 2016, A biographical memoir of Donald Edward White, 13 p.","productDescription":"13 p.","ipdsId":"IP-075246","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":338237,"type":{"id":15,"text":"Index Page"},"url":"https://www.nasonline.org/member-directory/deceased-members/49181.html"},{"id":339141,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e4b0b2e4b09da67999778c","contributors":{"authors":[{"text":"Muffler, L.J. Patrick 0000-0001-6638-7218 pmuffler@usgs.gov","orcid":"https://orcid.org/0000-0001-6638-7218","contributorId":3322,"corporation":false,"usgs":true,"family":"Muffler","given":"L.J.","email":"pmuffler@usgs.gov","middleInitial":"Patrick","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":685987,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70181776,"text":"70181776 - 2016 - Population-specific life histories contribute to metapopulation viability","interactions":[],"lastModifiedDate":"2017-02-14T11:04:50","indexId":"70181776","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Population-specific life histories contribute to metapopulation viability","docAbstract":"<p><span>Restoration efforts can be improved by understanding how variations in life-history traits occur within populations of the same species living in different environments. This can be done by first understanding the demographic responses of natural occurring populations. Population viability analysis continues to be useful to species management and conservation with sensitivity analysis aiding in the understanding of population dynamics. In this study, using life-table response experiments and elasticity analyses, we investigated how population-specific life-history demographic responses contributed to the metapopulation viability of the Federally threatened Pitcher's thistle (</span><i>Cirsium pitcheri</i><span>). Specifically, we tested the following hypotheses: (1) Subpopulations occupying different environments within a metapopulation have independent demographic responses and (2) advancing succession results in a shift from a demographic response focused on growth and fecundity to one dominated by stasis. Our results showed that reintroductions had a positive contribution to the metapopulation growth rate as compared to native populations which had a negative contribution. We found no difference in succession on the contribution to metapopulation viability. In addition, we identified distinct population-specific contributions to metapopulation viability and were able to associate specific life-history demographic responses. For example, the positive impact of Miller High Dunes population on the metapopulation growth rate resulted from high growth contributions, whereas increased time of plant in stasis for the State Park Big Blowout population resulted in negative contributions. A greater understanding of how separate populations respond in their corresponding environment may ultimately lead to more effective management strategies aimed at reducing extinction risk. We propose the continued use of sensitivity analyses to evaluate population-specific demographic influences on metapopulation viability. In understanding the underlying causes of the projected extinction probabilities of each population and identifying broad-scale contributions of different populations to the metapopulation, the process of pinpointing target populations is simplified. More detailed analyses can then be applied to the target populations to increase population viability and consequently metapopulation viability. Based on our research, we suggest that the best approach to improve the overall metapopulation viability is to manage the contributions to population growth for each population separately.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1536","usgsCitation":"Halsey, S.J., Bell, T.J., McEachern, K., and Pavlovic, N.B., 2016, Population-specific life histories contribute to metapopulation viability: Ecosphere, v. 7, no. 11, p. 1-13, https://doi.org/10.1002/ecs2.1536.","productDescription":"e01536; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-073189","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":470360,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1536","text":"Publisher Index Page"},{"id":335331,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"11","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-08","publicationStatus":"PW","scienceBaseUri":"58a4252fe4b0c825128ad404","chorus":{"doi":"10.1002/ecs2.1536","url":"http://dx.doi.org/10.1002/ecs2.1536","publisher":"Wiley-Blackwell","authors":"Halsey Samniqueka J., Bell Timothy J., McEachern Kathryn, Pavlovic Noel B.","journalName":"Ecosphere","publicationDate":"11/2016","auditedOn":"11/15/2016"},"contributors":{"authors":[{"text":"Halsey, Samniqueka J.","contributorId":181523,"corporation":false,"usgs":false,"family":"Halsey","given":"Samniqueka","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":668485,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bell, Timothy J.","contributorId":181524,"corporation":false,"usgs":false,"family":"Bell","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":668486,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McEachern, Kathryn 0000-0003-2631-8247 kathryn_mceachern@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-8247","contributorId":146324,"corporation":false,"usgs":true,"family":"McEachern","given":"Kathryn","email":"kathryn_mceachern@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":668487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pavlovic, Noel B. 0000-0002-2335-2274 npavlovic@usgs.gov","orcid":"https://orcid.org/0000-0002-2335-2274","contributorId":1976,"corporation":false,"usgs":true,"family":"Pavlovic","given":"Noel","email":"npavlovic@usgs.gov","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":668484,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70185039,"text":"70185039 - 2016 - Upstream movements of Atlantic Salmon in the Lower Penobscot River, Maine following two dam removals and fish passage modifications","interactions":[],"lastModifiedDate":"2017-03-14T12:01:39","indexId":"70185039","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Upstream movements of Atlantic Salmon in the Lower Penobscot River, Maine following two dam removals and fish passage modifications","docAbstract":"<p><span>The Penobscot River Restoration Project (PRRP), to be completed in 2016, involved an extensive plan of dam removal, increases in hydroelectric capacity, and fish passage modifications to increase habitat access for diadromous species. As part of the PRRP, Great Works and Veazie dams were removed, making Milford Dam the first impediment to federally endangered Atlantic Salmon </span><i>Salmo salar</i><span>. Upstream habitat access for Atlantic Salmon is dependent upon successful and timely passage at Milford Dam because nearly all suitable spawning habitat is located upstream. In 2014 and 2015, a total of 73 adult salmon were radio-tagged to track their upstream movements through the Penobscot River to assess potential delays at (1) the dam remnants, (2) the confluence of the Stillwater Branch and the main stem of the Penobscot River below the impassable Orono Dam, and (3) the Milford Dam fish lift (installed in 2014). Movement rates through the dam remnants and the Stillwater confluence were comparable to open river reaches. Passage efficiency of the fish lift was high in both years (95% and 100%). However, fish experienced long delays at Milford Dam, with approximately one-third of fish taking more than a week to pass in each year, well below the Federal Energy Regulatory Commission passage standard of 95% within 48 h. Telemetry indicates most fish locate the fishway entrance within 5 h of arrival and were observed at the entrance at all hours of the day. These data indicate that overall transit times through the lower river were comparable to reported movement rates prior to changes to the Penobscot River due to the substantial delays seen at Milford Dam. The results of this study show that while adult Atlantic Salmon locate the new fish lift entrance quickly, passage of these fish was significantly delayed under 2014–2015 operations.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/19425120.2016.1185063","usgsCitation":"Izzo, L.K., Maynard, G.A., and Zydlewski, J.D., 2016, Upstream movements of Atlantic Salmon in the Lower Penobscot River, Maine following two dam removals and fish passage modifications: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 8, no. 1, p. 448-461, https://doi.org/10.1080/19425120.2016.1185063.","productDescription":"14 p.","startPage":"448","endPage":"461","ipdsId":"IP-072944","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470381,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19425120.2016.1185063","text":"Publisher Index Page"},{"id":337493,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -68.79981994628906,\n              44.76038647589176\n            ],\n            [\n              -68.62266540527344,\n              44.76038647589176\n            ],\n            [\n              -68.62266540527344,\n              44.990055522906864\n            ],\n            [\n              -68.79981994628906,\n              44.990055522906864\n            ],\n            [\n              -68.79981994628906,\n              44.76038647589176\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-21","publicationStatus":"PW","scienceBaseUri":"58c90124e4b0849ce97abcc3","contributors":{"authors":[{"text":"Izzo, Lisa K.","contributorId":189241,"corporation":false,"usgs":false,"family":"Izzo","given":"Lisa","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":684200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maynard, George A.","contributorId":189242,"corporation":false,"usgs":false,"family":"Maynard","given":"George","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":684201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":684034,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70185040,"text":"70185040 - 2016 - Statistical comparison of methods for estimating sediment thickness from Horizontal-to-Vertical  Spectral Ratio (HVSR) seismic methods: An example from Tylerville, Connecticut, USA","interactions":[],"lastModifiedDate":"2018-08-06T12:31:12","indexId":"70185040","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Statistical comparison of methods for estimating sediment thickness from Horizontal-to-Vertical  Spectral Ratio (HVSR) seismic methods: An example from Tylerville, Connecticut, USA","docAbstract":"<p><span>Determining sediment thickness and delineating bedrock topography are important for assessing groundwater availability and characterizing contamination sites. In recent years, the horizontal-to-vertical spectral ratio (HVSR) seismic method has emerged as a non-invasive, cost-effective approach for estimating the thickness of unconsolidated sediments above bedrock. Using a three-component seismometer, this method uses the ratio of the average horizontal- and vertical-component amplitude spectrums to produce a spectral ratio curve with a peak at the fundamental resonance frequency. The HVSR method produces clear and repeatable resonance frequency peaks when there is a sharp contrast (&gt;2:1) in acoustic impedance at the sediment/bedrock boundary. Given the resonant frequency, sediment thickness can be determined either by (1) using an estimate of average local sediment shear-wave velocity or by (2) application of a power-law regression equation developed from resonance frequency observations at sites with a range of known depths to bedrock. Two frequently asked questions about the HVSR method are (1) how accurate are the sediment thickness estimates? and (2) how much do sediment thickness/bedrock depth estimates change when using different published regression equations? This paper compares and contrasts different approaches for generating HVSR depth estimates, through analysis of HVSR data acquired in the vicinity of Tylerville, Connecticut, USA.</span><br></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2016","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.4133/SAGEEP.29-057","usgsCitation":"Johnson, C.D., and Lane, J.W., 2016, Statistical comparison of methods for estimating sediment thickness from Horizontal-to-Vertical  Spectral Ratio (HVSR) seismic methods: An example from Tylerville, Connecticut, USA, <i>in</i> Symposium on the Application of Geophysics to Engineering and Environmental Problems 2016, p. 317-323, https://doi.org/10.4133/SAGEEP.29-057.","productDescription":"7 p.","startPage":"317","endPage":"323","ipdsId":"IP-073040","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":337696,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut","city":"Tylerville","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-24","publicationStatus":"PW","scienceBaseUri":"58cba41ae4b0849ce97dc73c","contributors":{"authors":[{"text":"Johnson, Carole D. 0000-0001-6941-1578 cjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":1891,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole","email":"cjohnson@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":684035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":684036,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70184451,"text":"70184451 - 2016 - Environmental implications of the use of sulfidic back-bay sediments for dune reconstruction — Lessons learned post Hurricane Sandy","interactions":[],"lastModifiedDate":"2018-08-07T12:19:42","indexId":"70184451","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Environmental implications of the use of sulfidic back-bay sediments for dune reconstruction — Lessons learned post Hurricane Sandy","docAbstract":"<p><span>Some barrier-island dunes damaged or destroyed by Hurricane Sandy's storm surges in October 2012 have been reconstructed using sediments dredged from back bays. These sand-, clay-, and iron sulfide-rich sediments were used to make berm-like cores for the reconstructed dunes, which were then covered by beach sand. In November 2013, we sampled and analyzed partially weathered materials collected from the cores of reconstructed dunes. There are generally low levels of metal toxicants in the reconstructed dune materials. However oxidation of reactive iron sulfides by percolating rainwater produces acid-sulfate pore waters, which evaporate during dry periods to produce efflorescent gypsum and sodium jarosite salts. The results suggest use of sulfidic sediments in dune reconstruction has both drawbacks (e.g., potential to generate acid runoff from dune cores following rainfall, enhanced corrosion of steel bulwarks) and possible benefits (e.g., efflorescent salts may enhance structural integrity).</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2016.04.051","usgsCitation":"Plumlee, G.S., Benzel, W., Hoefen, T.M., Hageman, P.L., Morman, S.A., Reilly, T.J., Adams, M., Berry, C.J., Fischer, J., and Fisher, I., 2016, Environmental implications of the use of sulfidic back-bay sediments for dune reconstruction — Lessons learned post Hurricane Sandy: Marine Pollution Bulletin, v. 107, no. 2, p. 459-471, https://doi.org/10.1016/j.marpolbul.2016.04.051.","productDescription":"13 p.","startPage":"459","endPage":"471","ipdsId":"IP-072137","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":337166,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","volume":"107","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c277d8e4b014cc3a3e76b1","contributors":{"authors":[{"text":"Plumlee, Geoffrey S. 0000-0002-9607-5626 gplumlee@usgs.gov","orcid":"https://orcid.org/0000-0002-9607-5626","contributorId":960,"corporation":false,"usgs":true,"family":"Plumlee","given":"Geoffrey","email":"gplumlee@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":681572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benzel, William 0000-0002-4085-1876 wbenzel@usgs.gov","orcid":"https://orcid.org/0000-0002-4085-1876","contributorId":3594,"corporation":false,"usgs":true,"family":"Benzel","given":"William","email":"wbenzel@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":681573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoefen, Todd M. 0000-0002-3083-5987 thoefen@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5987","contributorId":403,"corporation":false,"usgs":true,"family":"Hoefen","given":"Todd","email":"thoefen@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":681574,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hageman, Philip L. 0000-0002-3440-2150 phageman@usgs.gov","orcid":"https://orcid.org/0000-0002-3440-2150","contributorId":811,"corporation":false,"usgs":true,"family":"Hageman","given":"Philip","email":"phageman@usgs.gov","middleInitial":"L.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":681575,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morman, Suzette A. 0000-0002-2532-1033 smorman@usgs.gov","orcid":"https://orcid.org/0000-0002-2532-1033","contributorId":996,"corporation":false,"usgs":true,"family":"Morman","given":"Suzette","email":"smorman@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":681576,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":681577,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Adams, Monique madams@usgs.gov","contributorId":1231,"corporation":false,"usgs":true,"family":"Adams","given":"Monique","email":"madams@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":681578,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Berry, Cyrus J. cjberry@usgs.gov","contributorId":946,"corporation":false,"usgs":true,"family":"Berry","given":"Cyrus","email":"cjberry@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":681579,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fischer, Jeffrey 0000-0003-2996-9272 fischer@usgs.gov","orcid":"https://orcid.org/0000-0003-2996-9272","contributorId":187753,"corporation":false,"usgs":true,"family":"Fischer","given":"Jeffrey","email":"fischer@usgs.gov","affiliations":[],"preferred":true,"id":681580,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fisher, Irene ifisher@usgs.gov","contributorId":172759,"corporation":false,"usgs":true,"family":"Fisher","given":"Irene","email":"ifisher@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":681581,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70185229,"text":"70185229 - 2016 - Rare alluvial sands of El Monte Valley, California (San Diego County), support high herpetofaunal species richness and diversity, despite severe habitat disturbance","interactions":[],"lastModifiedDate":"2017-03-16T12:49:37","indexId":"70185229","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Rare alluvial sands of El Monte Valley, California (San Diego County), support high herpetofaunal species richness and diversity, despite severe habitat disturbance","docAbstract":"<p><span>We characterized the species richness, diversity, and distribution of amphibians and reptiles inhabiting El Monte Valley, a heavily disturbed, alluvium-filled basin within the lower San Diego River in Lakeside, California. This rare habitat type in coastal southern California is designated as a critical sand resource by the state of California and is currently under consideration for a large-scale sand mining operation with subsequent habitat restoration. We conducted field surveys from June 2015 to May 2016 using drift fence lines with funnel traps, coverboard arrays, walking transects, and road driving. We recorded 1,208 total captures, revealing high species richness and diversity, but with marked unevenness in species' abundances. Snakes were the most species-rich taxonomic group (13 species representing 11 genera), followed by lizards (11 species representing 9 genera). After the southern Pacific rattlesnake (</span><i><i>Crotalus oreganus</i> helleri</i><span>), the California glossy snake (</span><i><i>Arizona elegans</i> occidentalis</i><span>) was the second most frequently detected snake species (</span><i>n =</i><span> 23 captures). Amphibian species richness was limited to only three species in three genera. Despite the relatively limited 12-month sampling period, a longstanding drought, and severe habitat disturbance, our study demonstrates that El Monte Valley harbors a rich herpetofauna that includes many sensitive species.</span></p>","language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/0038-4909-61.4.294","usgsCitation":"Richmond, J.Q., Rochester, C.J., Smith, N.W., Nordland, J.A., and Fisher, R.N., 2016, Rare alluvial sands of El Monte Valley, California (San Diego County), support high herpetofaunal species richness and diversity, despite severe habitat disturbance: Southwestern Naturalist, v. 61, no. 4, p. 294-306, https://doi.org/10.1894/0038-4909-61.4.294.","productDescription":"13 p.","startPage":"294","endPage":"306","ipdsId":"IP-076910","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":337750,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Lakeside","otherGeospatial":"El Monte Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.90156936645506,\n              32.86351148400473\n            ],\n            [\n              -116.85693740844728,\n              32.86351148400473\n            ],\n            [\n              -116.85693740844728,\n              32.89083121370136\n            ],\n            [\n              -116.90156936645506,\n              32.89083121370136\n            ],\n            [\n              -116.90156936645506,\n              32.86351148400473\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"61","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58cba41ae4b0849ce97dc736","contributors":{"authors":[{"text":"Richmond, Jonathan Q. 0000-0001-9398-4894 jrichmond@usgs.gov","orcid":"https://orcid.org/0000-0001-9398-4894","contributorId":5400,"corporation":false,"usgs":true,"family":"Richmond","given":"Jonathan","email":"jrichmond@usgs.gov","middleInitial":"Q.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":684801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rochester, Carlton J. 0000-0002-0625-4496 crochester@usgs.gov","orcid":"https://orcid.org/0000-0002-0625-4496","contributorId":3032,"corporation":false,"usgs":true,"family":"Rochester","given":"Carlton","email":"crochester@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":684802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Nathan W.","contributorId":189422,"corporation":false,"usgs":false,"family":"Smith","given":"Nathan","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":684803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nordland, Jeffrey A.","contributorId":189423,"corporation":false,"usgs":false,"family":"Nordland","given":"Jeffrey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":684804,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":684800,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70185043,"text":"70185043 - 2016 - Application of frequency- and time-domain electromagnetic surveys to characterize hydrostratigraphy and landfill construction at the Amargosa Desert Research Site, Beatty, Nevada","interactions":[],"lastModifiedDate":"2018-08-06T12:35:04","indexId":"70185043","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Application of frequency- and time-domain electromagnetic surveys to characterize hydrostratigraphy and landfill construction at the Amargosa Desert Research Site, Beatty, Nevada","docAbstract":"<p>In 2014 and 2015, the U.S. Geological Survey (USGS), conducted frequency-domain electromagnetic (FDEM) surveys at the USGS Amargosa Desert Research Site (ADRS), approximately 17 kilometers (km) south of Beatty, Nevada. The FDEM surveys were conducted within and adjacent to a closed low-level radioactive waste disposal site located at the ADRS. FDEM surveys were conducted on a grid of north-south and east-west profiles to assess the locations and boundaries of historically recorded waste-disposal trenches. In 2015, the USGS conducted time-domain (TDEM) soundings along a profile adjacent to the disposal site (landfill) in cooperation with the U.S. Environmental Protection Agency (USEPA), to assess the thickness and characteristics of the underlying deep unsaturated zone, and the hydrostratigraphy of the underlying saturated zone.</p><p>FDEM survey results indicate the general location and extent of the waste-disposal trenches and reveal potential differences in material properties and the type and concentration of waste in several areas of the landfill. The TDEM surveys provide information on the underlying hydrostratigraphy and characteristics of the unsaturated zone that inform the site conceptual model and support an improved understanding of the hydrostratigraphic framework. Additional work is needed to interpret the TDEM results in the context of the local and regional structural geology.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Exploration Geophysicists","publisherLocation":"Symposium on the application of geophysics to engineering and environmental problems 2016","doi":"10.4133/SAGEEP.29-024","usgsCitation":"White, E.A., Day-Lewis, F.D., Johnson, C.D., and Lane, J.W., 2016, Application of frequency- and time-domain electromagnetic surveys to characterize hydrostratigraphy and landfill construction at the Amargosa Desert Research Site, Beatty, Nevada, p. 119-125, https://doi.org/10.4133/SAGEEP.29-024.","productDescription":"7 p.","startPage":"119","endPage":"125","ipdsId":"IP-073130","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":337694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-24","publicationStatus":"PW","scienceBaseUri":"58cba41ae4b0849ce97dc73a","contributors":{"authors":[{"text":"White, Eric A. 0000-0002-7782-146X eawhite@usgs.gov","orcid":"https://orcid.org/0000-0002-7782-146X","contributorId":1737,"corporation":false,"usgs":false,"family":"White","given":"Eric","email":"eawhite@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":684055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":684057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Carole D. 0000-0001-6941-1578 cjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":1891,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole","email":"cjohnson@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":684058,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":false,"id":684056,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70185045,"text":"70185045 - 2016 - Increasing aeolian dust deposition to snowpacks in the Rocky Mountains inferred from snowpack, wet deposition, and aerosol chemistry","interactions":[],"lastModifiedDate":"2017-03-13T17:07:57","indexId":"70185045","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":924,"text":"Atmospheric Environment","active":true,"publicationSubtype":{"id":10}},"title":"Increasing aeolian dust deposition to snowpacks in the Rocky Mountains inferred from snowpack, wet deposition, and aerosol chemistry","docAbstract":"<p><span>Mountain snowpacks are a vital natural resource for ∼1.5 billion people in the northern Hemisphere, helping to meet human and ecological demand for water in excess of that provided by summer rain. Springtime warming and aeolian dust deposition accelerate snowmelt, increasing the risk of water shortages during late summer, when demand is greatest. While climate networks provide data that can be used to evaluate the effect of warming on snowpack resources, there are no established regional networks for monitoring aeolian dust deposition to snow. In this study, we test the hypothesis that chemistry of snow, wet deposition, and aerosols can be used as a surrogate for dust deposition to snow. We then analyze spatial patterns and temporal trends in inferred springtime dust deposition to snow across the Rocky Mountains, USA, for 1993–2014. Geochemical evidence, including strong correlations (r</span><sup>2</sup><span>&nbsp;≥&nbsp;0.94) between Ca</span><sup>2+</sup><span>, alkalinity, and dust concentrations in snow deposited during dust events, indicate that carbonate minerals in dust impart a strong chemical signature that can be used to track dust deposition to snow. Spatial patterns in chemistry of snow, wet deposition, and aerosols indicate that dust deposition increases from north to south in the Rocky Mountains, and temporal trends indicate that winter/spring dust deposition increased by 81% in the southern Rockies during 1993–2014. Using a multivariate modeling approach, we determined that increases in dust deposition and decreases in springtime snowfall combined to accelerate snowmelt timing in the southern Rockies by approximately 7–18 days between 1993 and 2014. Previous studies have shown that aeolian dust emissions may have doubled globally during the 20th century, possibly due to drought and land-use change. Climate projections for increased aridity in the southwestern U.S., northern Africa, and other mid-latitude regions of the northern Hemisphere suggest that aeolian dust emissions may continue to increase, compounding the risk that climate warming poses to snowpack water resources in arid/semi-arid regions of the world.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.atmosenv.2016.06.076","usgsCitation":"Clow, D.W., Williams, M.W., and Schuster, P.F., 2016, Increasing aeolian dust deposition to snowpacks in the Rocky Mountains inferred from snowpack, wet deposition, and aerosol chemistry: Atmospheric Environment, v. 146, p. 183-194, https://doi.org/10.1016/j.atmosenv.2016.06.076.","productDescription":"12 p.","startPage":"183","endPage":"194","ipdsId":"IP-073260","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":470368,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.atmosenv.2016.06.076","text":"Publisher Index Page"},{"id":337479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"146","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c7af9ce4b0849ce9795e7a","contributors":{"authors":[{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":684061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Mark W.","contributorId":43046,"corporation":false,"usgs":true,"family":"Williams","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":684062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schuster, Paul F. 0000-0002-8314-1372 pschuste@usgs.gov","orcid":"https://orcid.org/0000-0002-8314-1372","contributorId":1360,"corporation":false,"usgs":true,"family":"Schuster","given":"Paul","email":"pschuste@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":684063,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70186295,"text":"70186295 - 2016 - Interactions among vegetation, climate, and herbivory control greenhouse gas fluxes in a subarctic coastal wetland","interactions":[],"lastModifiedDate":"2017-04-04T12:02:29","indexId":"70186295","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Interactions among vegetation, climate, and herbivory control greenhouse gas fluxes in a subarctic coastal wetland","docAbstract":"<div class=\"article-section__content mainAbstract\"><p>High-latitude ecosystems are experiencing the most rapid climate changes globally, and in many areas these changes are concurrent with shifts in patterns of herbivory. Individually, climate and herbivory are known to influence biosphere-atmosphere greenhouse gas (GHG) exchange; however, the interactive effects of climate and herbivory in driving GHG fluxes have been poorly quantified, especially in coastal systems that support large populations of migratory waterfowl. We investigated the magnitude and the climatic and physical controls of GHG exchange within the Yukon-Kuskokwim Delta in western Alaska across four distinct vegetation communities formed by herbivory and local microtopography. Net CO<sub>2</sub> flux was greatest in the ungrazed <i>Carex</i> meadow community (3.97 ± 0.58 [SE] µmol CO<sub>2</sub> m<sup>−2</sup> s<sup>−1</sup>), but CH<sub>4</sub> flux was greatest in the grazed community (14.00 ± 6.56 nmol CH<sub>4</sub> m<sup>−2</sup> s<sup>−1</sup>). The grazed community is also the only vegetation type where CH<sub>4</sub> was a larger contributor than CO<sub>2</sub> to overall GHG forcing. We found that vegetation community was an important predictor of CO<sub>2</sub> and CH<sub>4</sub> exchange, demonstrating that variation in regional gas exchange is best explained when the effect of grazing, determined by the difference between grazed and ungrazed communities, is included. Further, we identified an interaction between temperature and vegetation community, indicating that grazed regions could experience the greatest increases in CH<sub>4</sub> emissions with warming. These results suggest that future GHG fluxes could be influenced by both climate and by changes in herbivore population dynamics that expand or contract the vegetation community most responsive to future temperature change.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JG003546","usgsCitation":"Kelsey, K., Leffler, A., Beard, K., Schmutz, J.A., Choi, R., and Welker, J., 2016, Interactions among vegetation, climate, and herbivory control greenhouse gas fluxes in a subarctic coastal wetland: Journal of Geophysical Research: Biogeosciences, v. 121, no. 12, p. 2960-2975, https://doi.org/10.1002/2016JG003546.","productDescription":"16 p.","startPage":"2960","endPage":"2975","ipdsId":"IP-075783","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":501078,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.usu.edu/wild_facpub/2481","text":"External Repository"},{"id":339131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -165.71365356445312,\n              61.06426586835526\n            ],\n            [\n              -165.3167724609375,\n              61.06426586835526\n            ],\n            [\n              -165.3167724609375,\n              61.26759222961979\n            ],\n            [\n              -165.71365356445312,\n              61.26759222961979\n            ],\n            [\n              -165.71365356445312,\n              61.06426586835526\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"121","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-03","publicationStatus":"PW","scienceBaseUri":"58e4b0b2e4b09da679997788","contributors":{"authors":[{"text":"Kelsey, K.C.","contributorId":190356,"corporation":false,"usgs":false,"family":"Kelsey","given":"K.C.","email":"","affiliations":[],"preferred":false,"id":688225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leffler, A.J.","contributorId":190357,"corporation":false,"usgs":false,"family":"Leffler","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":688226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beard, K.H.","contributorId":190358,"corporation":false,"usgs":false,"family":"Beard","given":"K.H.","email":"","affiliations":[],"preferred":false,"id":688227,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":688224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Choi, R.T.","contributorId":190359,"corporation":false,"usgs":false,"family":"Choi","given":"R.T.","email":"","affiliations":[],"preferred":false,"id":688228,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Welker, J.M.","contributorId":190360,"corporation":false,"usgs":false,"family":"Welker","given":"J.M.","affiliations":[],"preferred":false,"id":688229,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70182074,"text":"70182074 - 2016 - Increased prevalence of antibiotic-resistant E. coli in gulls sampled in southcentral Alaska is associated with urban environments","interactions":[],"lastModifiedDate":"2018-07-15T18:35:43","indexId":"70182074","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5083,"text":"Infection Ecology and Epidemiology","active":true,"publicationSubtype":{"id":10}},"title":"Increased prevalence of antibiotic-resistant E. coli in gulls sampled in southcentral Alaska is associated with urban environments","docAbstract":"<div id=\"st1\" class=\"NLM_sec NLM_sec_level_1\"><p id=\"_i1\" class=\"section-heading-2\"><strong>Background</strong></p><p>Antibiotic-resistant bacteria pose challenges to healthcare delivery systems globally; however, limited information is available regarding the prevalence and spread of such bacteria in the environment. The aim of this study was to compare the prevalence of antibiotic-resistant bacteria in large-bodied gulls (<i>Larus</i> spp.) at urban and remote locations in Southcentral Alaska to gain inference into the association between antibiotic resistance in wildlife and anthropogenically influenced habitats.</p></div><div id=\"st2\" class=\"NLM_sec NLM_sec_level_1\"><p id=\"_i2\" class=\"section-heading-2\"><strong>Methods</strong></p><p><i>Escherichia coli</i> was cultured (<i>n</i>=115 isolates) from fecal samples of gulls (n=160) collected from a remote location, Middleton Island, and a more urban setting on the Kenai Peninsula.</p></div><div id=\"st3\" class=\"NLM_sec NLM_sec_level_1\"><p id=\"_i3\" class=\"section-heading-2\"><strong>Results</strong></p><p>Screening of <i>E. coli</i> from fecal samples collected from glaucous-winged gulls (<i>Larus glaucescens</i>) at Middleton Island revealed 8% of isolates were resistant to one or more antibiotics and 2% of the isolates were resistant to three or more antibiotics. In contrast, 55% of <i>E. coli</i> isolates derived from fecal samples collected from large-bodied gulls (i.e. glaucous, herring [<i>Larus argentatus</i>], and potentially hybrid gulls) on the Kenai Peninsula were resistant to one or more antibiotics and 22% were resistant to three or more antibiotics. In addition, total of 16% of the gull samples from locations on the Kenai Peninsula harbored extended-spectrum cephalosporin-resistant <i>E. coli</i> isolates (extended-spectrum beta-lactamases [ESBL] and plasmid-encoded AmpC [pAmpC]), in contrast to Middleton Island where no ESBL- or pAmpC-producing isolates were detected.</p></div><div id=\"st4\" class=\"NLM_sec NLM_sec_level_1\"><p id=\"_i4\" class=\"section-heading-2\"><strong>Conclusion</strong></p><p>Our findings indicate that increased prevalence of antibiotic resistance is associated with urban environments in Southcentral Alaska and presumably influenced by anthropogenic impacts. Further investigation is warranted to assess how migratory birds may maintain and spread antimicrobial-resistant bacteria of relevance to human and animal health.</p></div>","language":"English","publisher":"Taylor & Francis","doi":"10.3402/iee.v6.32334","usgsCitation":"Atterby, C., Ramey, A.M., Gustafsson Hall, G., Jarhult, J., Borjesson, S., and Bonnedahl, J., 2016, Increased prevalence of antibiotic-resistant E. coli in gulls sampled in southcentral Alaska is associated with urban environments: Infection Ecology and Epidemiology, v. 6, no. 1, p. 1-7, https://doi.org/10.3402/iee.v6.32334.","productDescription":"Article 32334; 7 p.","startPage":"1","endPage":"7","ipdsId":"IP-076075","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":470391,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3402/iee.v6.32334","text":"Publisher Index Page"},{"id":335681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -151.67724609374997,\n              59.271494782025684\n            ],\n            [\n              -146.085205078125,\n              59.271494782025684\n            ],\n            [\n              -146.085205078125,\n              61.17503266354878\n            ],\n            [\n              -151.67724609374997,\n              61.17503266354878\n            ],\n            [\n              -151.67724609374997,\n              59.271494782025684\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-19","publicationStatus":"PW","scienceBaseUri":"58a6c82be4b025c464286262","contributors":{"authors":[{"text":"Atterby, Clara","contributorId":181796,"corporation":false,"usgs":false,"family":"Atterby","given":"Clara","email":"","affiliations":[],"preferred":false,"id":669550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":669463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gustafsson Hall, Gabriel","contributorId":181797,"corporation":false,"usgs":false,"family":"Gustafsson Hall","given":"Gabriel","email":"","affiliations":[],"preferred":false,"id":669551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jarhult, Josef","contributorId":181798,"corporation":false,"usgs":false,"family":"Jarhult","given":"Josef","affiliations":[],"preferred":false,"id":669552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Borjesson, Stefan","contributorId":181799,"corporation":false,"usgs":false,"family":"Borjesson","given":"Stefan","email":"","affiliations":[],"preferred":false,"id":669553,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bonnedahl, Jonas","contributorId":181800,"corporation":false,"usgs":false,"family":"Bonnedahl","given":"Jonas","email":"","affiliations":[],"preferred":false,"id":669554,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70182075,"text":"70182075 - 2016 - Surveillance for Eurasian-origin and intercontinental reassortant highly pathogenic influenza A viruses in Alaska, spring and summer 2015","interactions":[],"lastModifiedDate":"2018-07-16T12:05:25","indexId":"70182075","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3697,"text":"Virology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Surveillance for Eurasian-origin and intercontinental reassortant highly pathogenic influenza A viruses in Alaska, spring and summer 2015","docAbstract":"<div id=\"ASec1\" class=\"AbstractSection\"><p><strong>Background</strong>: Eurasian-origin and intercontinental reassortant highly pathogenic (HP) influenza A viruses (IAVs) were first detected in North America in wild, captive, and domestic birds during November–December 2014. Detections of HP viruses in wild birds in the contiguous United States and southern Canadian provinces continued into winter and spring of 2015 raising concerns that migratory birds could potentially disperse viruses to more northerly breeding areas where they could be maintained to eventually seed future poultry outbreaks.</p><p><strong>Results</strong>: We sampled 1,129 wild birds on the Yukon-Kuskokwim Delta, Alaska, one of the largest breeding areas for waterfowl in North America, during spring and summer of 2015 to test for Eurasian lineage and intercontinental reassortant HP H5 IAVs and potential progeny viruses. We did not detect HP IAVs in our sample collection from western Alaska; however, we isolated five low pathogenic (LP) viruses. Four isolates were of the H6N1 (<i>n =</i> 2), H6N2, and H9N2 combined subtypes whereas the fifth isolate was a mixed infection that included H3 and N7 gene segments. Genetic characterization of these five LP IAVs isolated from cackling (<i>Branta hutchinsii</i>;&nbsp;<i>n =</i> 2) and greater white-fronted geese (<i>Anser albifrons</i>;&nbsp;<i>n =</i> 3), revealed three viral gene segments sharing high nucleotide identity with HP H5 viruses recently detected in North America. Additionally, one of the five isolates was comprised of multiple Eurasian lineage gene segments.</p><p><strong>Conclusions</strong>: Our results did not provide direct evidence for circulation of HP IAVs in the Yukon-Kuskokwim Delta region of Alaska during spring and summer of 2015. Prevalence and genetic characteristics of LP IAVs during the sampling period are concordant with previous findings of relatively low viral prevalence in geese during spring, non-detection of IAVs in geese during summer, and evidence for intercontinental exchange of viruses in western Alaska.</p></div>","language":"English","publisher":"BioMed Central","doi":"10.1186/s12985-016-0511-9","usgsCitation":"Ramey, A.M., Pearce, J.M., Reeves, A.B., Poulson, R.L., Dobson, J., Lefferts, B., Spragens, K.A., and Stallknecht, D.E., 2016, Surveillance for Eurasian-origin and intercontinental reassortant highly pathogenic influenza A viruses in Alaska, spring and summer 2015: Virology Journal, v. 13, p. 1-6, https://doi.org/10.1186/s12985-016-0511-9.","productDescription":"Article 55; 6 p.","startPage":"1","endPage":"6","ipdsId":"IP-071441","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":462019,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s12985-016-0511-9","text":"Publisher Index Page"},{"id":438503,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7SB43V5","text":"USGS data release","linkHelpText":"Migratory Bird Avian Influenza Sampling; Yukon Kuskokwim Delta, Alaska, 2015"},{"id":335680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-31","publicationStatus":"PW","scienceBaseUri":"58a6c82ae4b025c464286260","chorus":{"doi":"10.1186/s12985-016-0511-9","url":"http://dx.doi.org/10.1186/s12985-016-0511-9","publisher":"Springer Nature","authors":"Ramey Andrew M., Pearce John M., Reeves Andrew B., Poulson Rebecca L., Dobson Jennifer, Lefferts Brian, Spragens Kyle, Stallknecht David E.","journalName":"Virology Journal","publicationDate":"3/31/2016"},"contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":669464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearce, John M. 0000-0002-8503-5485 jpearce@usgs.gov","orcid":"https://orcid.org/0000-0002-8503-5485","contributorId":181766,"corporation":false,"usgs":true,"family":"Pearce","given":"John","email":"jpearce@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":669465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":669466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poulson, Rebecca L.","contributorId":68669,"corporation":false,"usgs":true,"family":"Poulson","given":"Rebecca","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":669541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dobson, Jennifer","contributorId":181794,"corporation":false,"usgs":false,"family":"Dobson","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":669542,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lefferts, Brian","contributorId":181795,"corporation":false,"usgs":false,"family":"Lefferts","given":"Brian","email":"","affiliations":[],"preferred":false,"id":669543,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Spragens, Kyle A. kspragens@usgs.gov","contributorId":5775,"corporation":false,"usgs":true,"family":"Spragens","given":"Kyle","email":"kspragens@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":669544,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stallknecht, David E.","contributorId":20230,"corporation":false,"usgs":true,"family":"Stallknecht","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":669545,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70184979,"text":"70184979 - 2016 - 3-D P- and S-wave velocity structure and low-frequency earthquake locations in the Parkfield, California region","interactions":[],"lastModifiedDate":"2017-03-14T15:44:12","indexId":"70184979","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"3-D P- and S-wave velocity structure and low-frequency earthquake locations in the Parkfield, California region","docAbstract":"<p><span>To refine the 3-D seismic velocity model in the greater Parkfield, California region, a new data set including regular earthquakes, shots, quarry blasts and low-frequency earthquakes (LFEs) was assembled. Hundreds of traces of each LFE family at two temporary arrays were stacked with time–frequency domain phase weighted stacking method to improve signal-to-noise ratio. We extend our model resolution to lower crustal depth with LFE data. Our result images not only previously identified features but also low velocity zones (LVZs) in the area around the LFEs and the lower crust beneath the southern Rinconada Fault. The former LVZ is consistent with high fluid pressure that can account for several aspects of LFE behaviour. The latter LVZ is consistent with a high conductivity zone in magnetotelluric studies. A new Vs model was developed with </span><i>S</i><span> picks that were obtained with a new autopicker. At shallow depth, the low Vs areas underlie the strongest shaking areas in the 2004 Parkfield earthquake. We relocate LFE families and analyse the location uncertainties with the NonLinLoc and tomoDD codes. The two methods yield similar results.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/gji/ggw217","usgsCitation":"Zeng, X., Thurber, C.H., Shelly, D.R., Harrington, R., Cochran, E.S., Bennington, N.L., Peterson, D., Guo, B., and McClement, K., 2016, 3-D P- and S-wave velocity structure and low-frequency earthquake locations in the Parkfield, California region: Geophysical Journal International, v. 206, no. 3, p. 1574-1585, https://doi.org/10.1093/gji/ggw217.","productDescription":"12 p.","startPage":"1574","endPage":"1585","ipdsId":"IP-070431","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470385,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggw217","text":"Publisher Index Page"},{"id":337540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Parkfield","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.5,\n              35\n            ],\n            [\n              -119,\n              35\n            ],\n            [\n              -119,\n              37\n            ],\n            [\n              -121.5,\n              37\n            ],\n            [\n              -121.5,\n              35\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"206","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-14","publicationStatus":"PW","scienceBaseUri":"58c90125e4b0849ce97abcc9","contributors":{"authors":[{"text":"Zeng, Xiangfang","contributorId":177477,"corporation":false,"usgs":false,"family":"Zeng","given":"Xiangfang","email":"","affiliations":[],"preferred":false,"id":683807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thurber, Clifford H. 0000-0002-4940-4618","orcid":"https://orcid.org/0000-0002-4940-4618","contributorId":73184,"corporation":false,"usgs":false,"family":"Thurber","given":"Clifford","email":"","middleInitial":"H.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":683808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shelly, David R. dshelly@usgs.gov","contributorId":2978,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":683806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harrington, Rebecca M.","contributorId":71089,"corporation":false,"usgs":true,"family":"Harrington","given":"Rebecca M.","affiliations":[],"preferred":false,"id":683809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":683810,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bennington, Ninfa L.","contributorId":172950,"corporation":false,"usgs":false,"family":"Bennington","given":"Ninfa","email":"","middleInitial":"L.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":684308,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peterson, Dana","contributorId":189268,"corporation":false,"usgs":false,"family":"Peterson","given":"Dana","affiliations":[],"preferred":false,"id":684309,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Guo, Bin","contributorId":189269,"corporation":false,"usgs":false,"family":"Guo","given":"Bin","email":"","affiliations":[],"preferred":false,"id":684310,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McClement, Kara","contributorId":189270,"corporation":false,"usgs":false,"family":"McClement","given":"Kara","email":"","affiliations":[],"preferred":false,"id":684311,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70184485,"text":"70184485 - 2016 - New organic reference materials for hydrogen, carbon, and nitrogen stable isotope-ratio measurements: caffeines, n-alkanes, fatty acid methyl esters, glycines, L-valines, polyethylenes, and oils","interactions":[],"lastModifiedDate":"2017-03-10T10:18:34","indexId":"70184485","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":761,"text":"Analytical Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"New organic reference materials for hydrogen, carbon, and nitrogen stable isotope-ratio measurements: caffeines, n-alkanes, fatty acid methyl esters, glycines, L-valines, polyethylenes, and oils","docAbstract":"<p><span>An international project developed, quality-tested, and determined isotope−δ values of 19 new organic reference materials (RMs) for hydrogen, carbon, and nitrogen stable isotope-ratio measurements, in addition to analyzing pre-existing RMs NBS 22 (oil), IAEA-CH-7 (polyethylene foil), and IAEA-600 (caffeine). These new RMs enable users to normalize measurements of samples to isotope−δ scales. The RMs span a range of δ</span><sup>2</sup><span>H</span><sub>VSMOW-SLAP</sub><span> values from −210.8 to +397.0 mUr or ‰, for δ</span><sup>13</sup><span>C</span><sub>VPDB-LSVEC</sub><span> from −40.81 to +0.49 mUr and for δ</span><sup>15</sup><span>N</span><sub>Air</sub><span> from −5.21 to +61.53 mUr. Many of the new RMs are amenable to gas and liquid chromatography. The RMs include triads of isotopically contrasting caffeines, C</span><sub>16</sub> <i>n</i><span>-alkanes, </span><i>n</i><span>-C</span><sub>20</sub><span>-fatty acid methyl esters (FAMEs), glycines, and </span><span class=\"smallcaps\">l</span><span>-valines, together with polyethylene powder and string, one </span><i>n</i><span>-C</span><sub>17</sub><span>-FAME, a vacuum oil (NBS 22a) to replace NBS 22 oil, and a </span><sup>2</sup><span>H-enriched vacuum oil. A total of 11 laboratories from 7 countries used multiple analytical approaches and instrumentation for 2-point isotopic normalization against international primary measurement standards. The use of reference waters in silver tubes allowed direct normalization of δ</span><sup>2</sup><span>H values of organic materials against isotopic reference waters following the principle of identical treatment. Bayesian statistical analysis yielded the mean values reported here. New RMs are numbered from USGS61 through USGS78, in addition to NBS 22a. Because of exchangeable hydrogen, amino acid RMs currently are recommended only for carbon- and nitrogen-isotope measurements. Some amino acids contain </span><sup>13</sup><span>C and carbon-bound organic </span><sup>2</sup><span>H-enrichments at different molecular sites to provide RMs for potential site-specific isotopic analysis in future studies.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.analchem.5b04392","usgsCitation":"Schimmelmann, A., Qi, H., Coplen, T.B., Brand, W.A., Fong, J., Meier-Augenstein, W., Kemp, H.F., Toman, B., Ackermann, A., Assonov, S., Aerts-Bijma, A., Brejcha, R., Chikaraishi, Y., Darwish, T., Elsner, M., Gehre, M., Geilmann, H., Groning, M., Helie, J., Herrero-Martin, S., Meijer, H.A., Sauer, P.E., Sessions, A.L., and Werner, R.A., 2016, New organic reference materials for hydrogen, carbon, and nitrogen stable isotope-ratio measurements: caffeines, n-alkanes, fatty acid methyl esters, glycines, L-valines, polyethylenes, and oils: Analytical Chemistry, v. 88, no. 8, p. 4294-4302, https://doi.org/10.1021/acs.analchem.5b04392.","productDescription":"9 p.","startPage":"4294","endPage":"4302","ipdsId":"IP-073415","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":470392,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.rug.nl/en/publications/cbe77820-c3cc-4440-b158-d120cd5bd01d","text":"External Repository"},{"id":337298,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-31","publicationStatus":"PW","scienceBaseUri":"58c3c937e4b0f37a93ee9ae5","chorus":{"doi":"10.1021/acs.analchem.5b04392","url":"http://dx.doi.org/10.1021/acs.analchem.5b04392","publisher":"American Chemical Society (ACS)","authors":"Schimmelmann Arndt, Qi Haiping, Coplen Tyler B., Brand Willi A., Fong Jon, Meier-Augenstein Wolfram, Kemp Helen F., Toman Blaza, Ackermann Annika, Assonov Sergey, Aerts-Bijma Anita T., Brejcha Ramona, Chikaraishi Yoshito, Darwish Tamim, Elsner Martin, Gehre Matthias, Geilmann Heike, Gröning Manfred, Hélie Jean-François, Herrero-Martín Sara, Meijer Harro A. J., Sauer Peter E., Sessions Alex L., Werner Roland A.","journalName":"Analytical Chemistry","publicationDate":"4/19/2016"},"contributors":{"authors":[{"text":"Schimmelmann, Arndt","contributorId":140051,"corporation":false,"usgs":false,"family":"Schimmelmann","given":"Arndt","affiliations":[{"id":13366,"text":"Indiana University, Bloomington, Indiana, USA","active":true,"usgs":false}],"preferred":false,"id":681679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":681680,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 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L.","contributorId":172980,"corporation":false,"usgs":false,"family":"Sessions","given":"Alex","email":"","middleInitial":"L.","affiliations":[{"id":27133,"text":"Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena CA","active":true,"usgs":false}],"preferred":false,"id":681700,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Werner, Roland A.","contributorId":187806,"corporation":false,"usgs":false,"family":"Werner","given":"Roland","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":681701,"contributorType":{"id":1,"text":"Authors"},"rank":24}]}}
,{"id":70186922,"text":"70186922 - 2016 - Spatial and ecological variation in dryland ecohydrological responses to climate change: implications for management","interactions":[],"lastModifiedDate":"2017-04-14T13:06:19","indexId":"70186922","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and ecological variation in dryland ecohydrological responses to climate change: implications for management","docAbstract":"<p><span>Ecohydrological responses to climate change will exhibit spatial variability and understanding the spatial pattern of ecological impacts is critical from a land management perspective. To quantify climate change impacts on spatial patterns of ecohydrology across shrub steppe ecosystems in North America, we asked the following question: How will climate change impacts on ecohydrology differ in magnitude and variability across climatic gradients, among three big sagebrush ecosystems (SB-Shrubland, SB-Steppe, SB-Montane), and among Sage-grouse Management Zones? We explored these potential changes for mid-century for RCP8.5 using a process-based water balance model (SOILWAT) for 898 big sagebrush sites using site- and scenario-specific inputs. We summarize changes in available soil water (ASW) and dry days, as these ecohydrological variables may be helpful in guiding land management decisions about where to geographically concentrate climate change mitigation and adaptation resources. Our results suggest that during spring, soils will be wetter in the future across the western United States, while soils will be drier in the summer. The magnitude of those predictions differed depending on geographic position and the ecosystem in question: Larger increases in mean daily spring ASW were expected for high-elevation SB-Montane sites and the eastern and central portions of our study area. The largest decreases in mean daily summer ASW were projected for warm, dry, mid-elevation SB-Montane sites in the central and west-central portions of our study area (decreases of up to 50%). Consistent with declining summer ASW, the number of dry days was projected to increase rangewide, but particularly for SB-Montane and SB-Steppe sites in the eastern and northern regions. Collectively, these results suggest that most sites will be drier in the future during the summer, but changes were especially large for mid- to high-elevation sites in the northern half of our study area. Drier summer conditions in high-elevation, SB-Montane sites may result in increased habitat suitability for big sagebrush, while those same changes will likely reduce habitat suitability for drier ecosystems. Our work has important implications for where land managers should prioritize resources for the conservation of North American shrub steppe plant communities and the species that depend on them.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1590","usgsCitation":"Palmquist, K.A., Schlaepfer, D., Bradford, J.B., and Lauenroth, W.K., 2016, Spatial and ecological variation in dryland ecohydrological responses to climate change: implications for management: Ecosphere, v. 7, no. 11, e01590; 20 p., https://doi.org/10.1002/ecs2.1590.","productDescription":"e01590; 20 p.","ipdsId":"IP-074039","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":470352,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1590","text":"Publisher Index Page"},{"id":339736,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-28","publicationStatus":"PW","scienceBaseUri":"58f1e0c9e4b08144348b7df4","contributors":{"authors":[{"text":"Palmquist, Kyle A.","contributorId":169517,"corporation":false,"usgs":false,"family":"Palmquist","given":"Kyle","email":"","middleInitial":"A.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":691010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schlaepfer, Daniel R.","contributorId":105189,"corporation":false,"usgs":false,"family":"Schlaepfer","given":"Daniel R.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":691012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":691009,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":691011,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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