{"pageNumber":"962","pageRowStart":"24025","pageSize":"25","recordCount":184906,"records":[{"id":70192235,"text":"70192235 - 2017 - Climate-driven variability in the occurrence of major floods across North America and Europe","interactions":[],"lastModifiedDate":"2017-10-24T12:18:51","indexId":"70192235","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Climate-driven variability in the occurrence of major floods across North America and Europe","docAbstract":"<p><span>Concern over the potential impact of anthropogenic climate change on flooding has led to a proliferation of studies examining past flood trends. Many studies have analysed annual-maximum flow trends but few have quantified changes in major (25–100</span><span>&nbsp;</span><span>year return period) floods, i.e. those that have the greatest societal impacts. Existing major-flood studies used a limited number of very large catchments affected to varying degrees by alterations such as reservoirs and urbanisation. In the current study, trends in major-flood occurrence from 1961 to 2010 and from 1931 to 2010 were assessed using a very large dataset (&gt;1200</span><span>&nbsp;</span><span>gauges) of diverse catchments from North America and Europe; only minimally altered catchments were used, to focus on climate-driven changes rather than changes due to catchment alterations. Trend testing of major floods was based on counting the number of exceedances of a given flood threshold within a group of gauges. Evidence for significant trends varied between groups of gauges that were defined by catchment size, location, climate, flood threshold and period of record, indicating that generalizations about flood trends across large domains or a diversity of catchment types are ungrounded. Overall, the number of significant trends in major-flood occurrence across North America and Europe was approximately the number expected due to chance alone. Changes over time in the occurrence of major floods were dominated by multidecadal variability rather than by long-term trends. There were more than three times as many significant relationships between major-flood occurrence and the Atlantic Multidecadal Oscillation than significant long-term trends.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2017.07.027","usgsCitation":"Hodgkins, G.A., Whitfield, P.H., Burn, D.H., Hannaford, J., Renard, B., Stahl, K., Fleig, A.K., Madsen, H., Mediero, L., Korhonen, J., Murphy, C., and Wilson, D., 2017, Climate-driven variability in the occurrence of major floods across North America and Europe: Journal of Hydrology, v. 552, p. 704-717, https://doi.org/10.1016/j.jhydrol.2017.07.027.","productDescription":"14 p.","startPage":"704","endPage":"717","ipdsId":"IP-060483","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":469546,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.jhydrol.2017.07.027","text":"External Repository"},{"id":347222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347151,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S002216941730478X"}],"otherGeospatial":"Europe, North America","volume":"552","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f05121e4b0220bbd9a1d85","contributors":{"authors":[{"text":"Hodgkins, Glenn A. 0000-0002-4916-5565 gahodgki@usgs.gov","orcid":"https://orcid.org/0000-0002-4916-5565","contributorId":2020,"corporation":false,"usgs":true,"family":"Hodgkins","given":"Glenn","email":"gahodgki@usgs.gov","middleInitial":"A.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitfield, Paul H.","contributorId":198041,"corporation":false,"usgs":false,"family":"Whitfield","given":"Paul","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":714911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burn, Donald H.","contributorId":198042,"corporation":false,"usgs":false,"family":"Burn","given":"Donald","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":714912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hannaford, Jamie","contributorId":198043,"corporation":false,"usgs":false,"family":"Hannaford","given":"Jamie","email":"","affiliations":[],"preferred":false,"id":714913,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Renard, Benjamin","contributorId":177291,"corporation":false,"usgs":false,"family":"Renard","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":714914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stahl, Kerstin","contributorId":198044,"corporation":false,"usgs":false,"family":"Stahl","given":"Kerstin","email":"","affiliations":[],"preferred":false,"id":714915,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fleig, Anne K.","contributorId":198045,"corporation":false,"usgs":false,"family":"Fleig","given":"Anne","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":714916,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Madsen, Henrik","contributorId":198046,"corporation":false,"usgs":false,"family":"Madsen","given":"Henrik","email":"","affiliations":[],"preferred":false,"id":714917,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mediero, Luis","contributorId":198047,"corporation":false,"usgs":false,"family":"Mediero","given":"Luis","email":"","affiliations":[],"preferred":false,"id":714918,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Korhonen, Johanna","contributorId":198048,"corporation":false,"usgs":false,"family":"Korhonen","given":"Johanna","email":"","affiliations":[],"preferred":false,"id":714919,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Murphy, Conor","contributorId":198049,"corporation":false,"usgs":false,"family":"Murphy","given":"Conor","email":"","affiliations":[],"preferred":false,"id":714920,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wilson, Donna","contributorId":198051,"corporation":false,"usgs":false,"family":"Wilson","given":"Donna","email":"","affiliations":[],"preferred":false,"id":714922,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70192781,"text":"70192781 - 2017 - A new parameterization for integrated population models to document amphibian reintroductions","interactions":[],"lastModifiedDate":"2017-11-07T13:49:47","indexId":"70192781","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"A new parameterization for integrated population models to document amphibian reintroductions","docAbstract":"<p><span>Managers are increasingly implementing reintroduction programs as part of a global effort to alleviate amphibian declines. Given uncertainty in factors affecting populations and a need to make recurring decisions to achieve objectives, adaptive management is a useful component of these efforts. A major impediment to the estimation of demographic rates often used to parameterize and refine decision-support models is that life-stage-specific monitoring data are frequently sparse for amphibians. We developed a new parameterization for integrated population models to match the ecology of amphibians and capitalize on relatively inexpensive monitoring data to document amphibian reintroductions. We evaluate the capability of this model by fitting it to Oregon spotted frog (</span><i>Rana pretiosa</i><span>) monitoring data collected from 2007 to 2014 following their reintroduction within the Klamath Basin, Oregon, USA. The number of egg masses encountered and the estimated adult and metamorph abundances generally increased following reintroduction. We found that survival probability from egg to metamorph ranged from 0.01 in 2008 to 0.09 in 2009 and was not related to minimum spring temperatures, metamorph survival probability ranged from 0.13 in 2010–2011 to 0.86 in 2012–2013 and was positively related to mean monthly temperatures (logit-scale slope&nbsp;=&nbsp;2.37), adult survival probability was lower for founders (0.40) than individuals recruited after reintroduction (0.56), and the mean number of egg masses per adult female was 0.74. Our study is the first to test hypotheses concerning Oregon spotted frog egg-to-metamorph and metamorph-to-adult transition probabilities in the wild and document their response at multiple life stages following reintroduction. Furthermore, we provide an example to illustrate how the structure of our integrated population model serves as a useful foundation for amphibian decision-support models within adaptive management programs. The integration of multiple, but related, data sets has an advantage of being able to estimate complex ecological relationships across multiple life stages, offering a modeling framework that accommodates uncertainty, enforces parsimony, and ensures all model parameters can be confronted with monitoring data.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1564","usgsCitation":"Duarte, A., Pearl, C., Adams, M.J., and Peterson, J., 2017, A new parameterization for integrated population models to document amphibian reintroductions: Ecological Applications, v. 27, no. 6, p. 1761-1775, https://doi.org/10.1002/eap.1564.","productDescription":"15 p.","startPage":"1761","endPage":"1775","ipdsId":"IP-079934","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-07","publicationStatus":"PW","scienceBaseUri":"5a07e88ae4b09af898c8cb81","contributors":{"authors":[{"text":"Duarte, Adam","contributorId":28492,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":6960,"text":"Department of Biology, Texas State University","active":true,"usgs":false}],"preferred":false,"id":716911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearl, Christopher 0000-0003-2943-7321 christopher_pearl@usgs.gov","orcid":"https://orcid.org/0000-0003-2943-7321","contributorId":172669,"corporation":false,"usgs":true,"family":"Pearl","given":"Christopher","email":"christopher_pearl@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":716910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, M. J. 0000-0001-8844-042X mjadams@usgs.gov","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":3133,"corporation":false,"usgs":false,"family":"Adams","given":"M.","email":"mjadams@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":716912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716909,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192755,"text":"70192755 - 2017 - Effects of breeder turnover and harvest on group composition and recruitment in a social carnivore","interactions":[],"lastModifiedDate":"2017-11-08T12:48:50","indexId":"70192755","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of breeder turnover and harvest on group composition and recruitment in a social carnivore","docAbstract":"<ol id=\"jane12707-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Breeder turnover can influence population growth in social carnivores through changes to group size, composition and recruitment.</li><li>Studies that possess detailed group composition data that can provide insights about the effects of breeder turnover on groups have generally been conducted on species that are not subject to recurrent annual human harvest. We wanted to know how breeder turnover affects group composition and how harvest, in turn, affects breeder turnover in cooperatively breeding grey wolves (<i>Canis lupus</i><span>&nbsp;</span>Linnaeus 1758).</li><li>We used noninvasive genetic sampling at wolf rendezvous sites to construct pedigrees and estimate recruitment in groups of wolves before and after harvest in Idaho, USA.</li><li>Turnover of breeding females increased polygamy and potential recruits per group by providing breeding opportunities for subordinates although resultant group size was unaffected 1&nbsp;year after the turnover. Breeder turnover had no effect on the number of nonbreeding helpers per group. After breeding male turnover, fewer female pups were recruited in the new males’ litters. Harvest had no effect on the frequency of breeder turnover.</li><li>We found that breeder turnover led to shifts in the reproductive hierarchies within groups and the resulting changes to group composition were quite variable and depended on the sex of the breeder lost. We hypothesize that nonbreeding females direct help away from non-kin female pups to preserve future breeding opportunities for themselves. Breeder turnover had marked effects on the breeding opportunities of subordinates and the number and sex ratios of subsequent litters of pups. Seemingly subtle changes to groups, such as the loss of one individual, can greatly affect group composition, genetic content, and short-term population growth when the individual lost is a breeder.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.12707","usgsCitation":"Ausband, D.E., Mitchell, M.S., and Waits, L.P., 2017, Effects of breeder turnover and harvest on group composition and recruitment in a social carnivore: Journal of Animal Ecology, v. 86, no. 5, p. 1094-1101, https://doi.org/10.1111/1365-2656.12707.","productDescription":"8 p.","startPage":"1094","endPage":"1101","ipdsId":"IP-087215","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","volume":"86","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-03","publicationStatus":"PW","scienceBaseUri":"5a0425b4e4b0dc0b45b45326","contributors":{"authors":[{"text":"Ausband, David E.","contributorId":198687,"corporation":false,"usgs":false,"family":"Ausband","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716837,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waits, Lisette P.","contributorId":87673,"corporation":false,"usgs":true,"family":"Waits","given":"Lisette","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":721142,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193567,"text":"70193567 - 2017 - Forestry best management practices relationships with aquatic and riparian fauna: A review","interactions":[],"lastModifiedDate":"2017-11-06T11:21:22","indexId":"70193567","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"Forestry best management practices relationships with aquatic and riparian fauna: A review","docAbstract":"<p><span>Forestry best management practices (BMPs) were developed to minimize water pollution from forestry operations by primarily addressing sediment and sediment transport, which is the leading source of pollution from silviculture. Implementation of water quality BMPs may also benefit riparian and aquatic wildlife, although wildlife benefits were not driving forces for BMP development. Therefore, we reviewed literature regarding potential contributions of sediment-reducing BMPs to conservation of riparian and aquatic wildlife, while realizing that BMPs also minimize thermal, nutrient, and chemical pollution. We reached five important conclusions: (1) a significant body of research confirms that forestry BMPs contribute to the protection of water quality and riparian forest structure; (2) data-specific relationships between forestry BMPs and reviewed species are limited; (3) forestry BMPs for forest road construction and maintenance, skid trails, stream crossings, and streamside management zones (SMZs) are important particularly for protection of water quality and aquatic species; (4) stream crossings should be carefully selected and installed to minimize sediment inputs and stream channel alterations; and (5) SMZs promote retention of older-age riparian habitat with benefits extending from water bodies to surrounding uplands. Overall, BMPs developed for protection of water quality should benefit a variety of riparian and aquatic species that are sensitive to changes in water quality or forest structure.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/f8090331","usgsCitation":"Warrington, B.M., Aust, W.M., Barrett, S.M., Ford, W.M., Dolloff, C.A., Schilling, E.B., Wigley, T.B., and Bolding, M.C., 2017, Forestry best management practices relationships with aquatic and riparian fauna: A review: Forests, v. 8, no. 9, p. 1-16, https://doi.org/10.3390/f8090331.","productDescription":"Article 331 p.; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-090020","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469572,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f8090331","text":"Publisher Index Page"},{"id":348259,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-07","publicationStatus":"PW","scienceBaseUri":"5a07e889e4b09af898c8cb7d","contributors":{"authors":[{"text":"Warrington, Brooke M.","contributorId":199538,"corporation":false,"usgs":false,"family":"Warrington","given":"Brooke","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":719381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aust, W. Michael","contributorId":199539,"corporation":false,"usgs":false,"family":"Aust","given":"W.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":719382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barrett, Scott M.","contributorId":199540,"corporation":false,"usgs":false,"family":"Barrett","given":"Scott","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":719383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":719380,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dolloff, C. Andrew","contributorId":97405,"corporation":false,"usgs":true,"family":"Dolloff","given":"C.","email":"","middleInitial":"Andrew","affiliations":[],"preferred":false,"id":719384,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schilling, Erik B.","contributorId":200017,"corporation":false,"usgs":false,"family":"Schilling","given":"Erik","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":720667,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wigley, T. Bently","contributorId":169749,"corporation":false,"usgs":false,"family":"Wigley","given":"T.","email":"","middleInitial":"Bently","affiliations":[],"preferred":false,"id":720668,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bolding, M. Chad","contributorId":200018,"corporation":false,"usgs":false,"family":"Bolding","given":"M.","email":"","middleInitial":"Chad","affiliations":[],"preferred":false,"id":720669,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70188428,"text":"70188428 - 2017 - Assessment of forest degradation in Vietnam using Landsat time series data","interactions":[],"lastModifiedDate":"2017-09-18T16:35:26","indexId":"70188428","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of forest degradation in Vietnam using Landsat time series data","docAbstract":"<p><span>Landsat time series data were used to characterize forest degradation in Lam Dong Province, Vietnam. We conducted three types of image change analyses using Landsat time series data to characterize the land cover changes. Our analyses concentrated on the timeframe of 1973–2014, with much emphasis on the latter part of that range. We conducted a field trip through Lam Dong Province to develop a better understanding of the ground conditions of the region, during which we obtained many photographs of representative forest sites with Global Positioning System locations to assist us in our image interpretations. High-resolution Google Earth imagery and Landsat data of the region were used to validate results. In general, our analyses indicated that many land-use changes have occurred throughout Lam Dong Province, including gradual forest to non-forest transitions. Recent changes are most marked along the relatively narrow interfaces between agricultural and forest areas that occur towards the boundaries of the province. One important observation is that the most highly protected national reserves in the region have not changed much over the entire Landsat timeframe (1972–present). Spectral changes within these regions have not occurred at the same levels as those areas adjacent to the reserves.&nbsp;</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/f8070238","usgsCitation":"Vogelmann, J., Van Khoa, P., Lan, X., Shermeyer, J.S., Shi, H., Wimberly, M.C., Tat Duong, H., and Van Huong, L., 2017, Assessment of forest degradation in Vietnam using Landsat time series data: Forests, v. 8, no. 7, p. 1-22, https://doi.org/10.3390/f8070238.","productDescription":"Article 238; 22 p.","startPage":"1","endPage":"22","ipdsId":"IP-087749","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":469558,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f8070238","text":"Publisher Index Page"},{"id":345866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Vietnam","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[108.05018,21.55238],[106.71507,20.69685],[105.88168,19.75205],[105.66201,19.05817],[106.42682,18.00412],[107.36195,16.69746],[108.2695,16.07974],[108.87711,15.27669],[109.33527,13.42603],[109.20014,11.66686],[108.36613,11.00832],[107.22093,10.36448],[106.40511,9.53084],[105.15826,8.59976],[104.79519,9.24104],[105.0762,9.91849],[104.33433,10.48654],[105.19991,10.88931],[106.24967,10.96181],[105.81052,11.56761],[107.4914,12.33721],[107.61455,13.53553],[107.38273,14.20244],[107.56453,15.20217],[107.31271,15.90854],[106.55601,16.60428],[105.92576,17.48532],[105.0946,18.66697],[103.89653,19.26518],[104.18339,19.62467],[104.82257,19.88664],[104.435,20.75873],[103.20386,20.76656],[102.7549,21.67514],[102.17044,22.46475],[102.70699,22.7088],[103.50451,22.70376],[104.47686,22.81915],[105.32921,23.35206],[105.81125,22.97689],[106.7254,22.79427],[106.56727,22.2182],[107.04342,21.8119],[108.05018,21.55238]]]},\"properties\":{\"name\":\"Vietnam\"}}]}","volume":"8","issue":"7","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-04","publicationStatus":"PW","scienceBaseUri":"59c0db1ee4b091459a5f4733","contributors":{"authors":[{"text":"Vogelmann, James 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":192352,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James","email":"vogel@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":697698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Khoa, Phung","contributorId":192766,"corporation":false,"usgs":false,"family":"Van Khoa","given":"Phung","email":"","affiliations":[],"preferred":false,"id":697699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lan, Xuan","contributorId":192767,"corporation":false,"usgs":false,"family":"Lan","given":"Xuan","email":"","affiliations":[],"preferred":false,"id":697700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shermeyer, Jacob S. 0000-0002-8143-2790 jshermeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8143-2790","contributorId":5825,"corporation":false,"usgs":true,"family":"Shermeyer","given":"Jacob","email":"jshermeyer@usgs.gov","middleInitial":"S.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":697701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shi, Hua 0000-0001-7013-1565","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":192768,"corporation":false,"usgs":false,"family":"Shi","given":"Hua","affiliations":[],"preferred":false,"id":697702,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wimberly, Michael C.","contributorId":167855,"corporation":false,"usgs":false,"family":"Wimberly","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":697703,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tat Duong, Hoang","contributorId":192770,"corporation":false,"usgs":false,"family":"Tat Duong","given":"Hoang","email":"","affiliations":[],"preferred":false,"id":697704,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Van Huong, Le","contributorId":192771,"corporation":false,"usgs":false,"family":"Van Huong","given":"Le","email":"","affiliations":[],"preferred":false,"id":697705,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70190314,"text":"70190314 - 2017 - Optimization of human, animal, and environmental health by using the One Health approach","interactions":[],"lastModifiedDate":"2021-04-06T14:13:48.166633","indexId":"70190314","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5499,"text":"Journal of Veterinary Science","active":true,"publicationSubtype":{"id":10}},"title":"Optimization of human, animal, and environmental health by using the One Health approach","docAbstract":"<p><span>Emerging diseases are increasing burdens on public health, negatively affecting the world economy, causing extinction of species, and disrupting ecological integrity. One Health recognizes that human, domestic animal, and wildlife health are interconnected within ecosystem health and provides a framework for the development of multidisciplinary solutions to global health challenges. To date, most health-promoting interventions have focused largely on single-sector outcomes. For example, risk for transmission of zoonotic pathogens from bush-meat hunting is primarily focused on human hygiene and personal protection. However, bush-meat hunting is a complex issue promoting the need for holistic strategies to reduce transmission of zoonotic disease while addressing food security and wildlife conservation issues. Temporal and spatial separation of humans and wildlife, risk communication, and other preventative strategies should allow wildlife and humans to co-exist. Upstream surveillance, vaccination, and other tools to prevent pathogen spillover are also needed. Clear multi-sector outcomes should be defined, and a systems-based approach is needed to develop interventions that reduce risks and balance the needs of humans, wildlife, and the environment. The ultimate goal is long-term action to reduce forces driving emerging diseases and provide interdisciplinary scientific approaches to management of risks, thereby achieving optimal outcomes for human, animal, and environmental health.</span></p>","language":"English","publisher":"The Korean Society of Veterinary Science","doi":"10.4142/jvs.2017.18.S1.263","usgsCitation":"Sleeman, J.M., DeLiberto, T., and Nguyen, N.T., 2017, Optimization of human, animal, and environmental health by using the One Health approach: Journal of Veterinary Science, v. 18, no. S1, p. 263-268, https://doi.org/10.4142/jvs.2017.18.S1.263.","productDescription":"6 p.","startPage":"263","endPage":"268","ipdsId":"IP-087569","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":469568,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4142/jvs.2017.18.s1.263","text":"Publisher Index Page"},{"id":345865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"S1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59c0db1de4b091459a5f472e","contributors":{"authors":[{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":708400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeLiberto, Thomas J.","contributorId":139362,"corporation":false,"usgs":false,"family":"DeLiberto","given":"Thomas J.","affiliations":[{"id":12749,"text":"USDA APHIS National Wildlife Research Center, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":708402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nguyen, Natalie T. 0000-0001-9389-1655 ntnguyen@usgs.gov","orcid":"https://orcid.org/0000-0001-9389-1655","contributorId":195838,"corporation":false,"usgs":true,"family":"Nguyen","given":"Natalie","email":"ntnguyen@usgs.gov","middleInitial":"T.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":708401,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196118,"text":"70196118 - 2017 - Using remote sensing to characterize and compare evapotranspiration from different irrigation regimes in the Smith River Watershed of central Montana","interactions":[],"lastModifiedDate":"2018-03-21T09:51:57","indexId":"70196118","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5656,"text":"Irrigation & Drainage Systems Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Using remote sensing to characterize and compare evapotranspiration from different irrigation regimes in the Smith River Watershed of central Montana","docAbstract":"<p><span>According to the 2005 U.S. Geological Survey national water use compilation, irrigation is the second largest use of fresh water in the United States, accounting for 37%, or 484.48 million cubic meters per day, of total freshwater withdrawal. Accurately estimating the amount of water withdrawals and actual consumptive water use (the difference between water withdrawals and return flow) for irrigation at a regional scale is difficult. Remote sensing methods make it possible to compare actual ET (ETa) rates which can serve as a proxy for consumptive water use from different irrigation regimes at a regional scale in a systematic manner. This study investigates crucial components of water use from irrigation such as the difference of ETa rates from flood- and sprinkler-irrigated fields, spatial variability of ETa within a watershed, and the effect of sprinkler irrigation on the water budget of the study area. The mean accumulated ETa depth for the 1,051 square kilometer study area within the upper Smith River watershed was about 467 mm 30-meter per pixel for the 2007 growing season (April through mid-October). The total accumulated volume of ETa for the study area was about 474.705 million cubic meters. The mean accumulated ETa depth from sprinkler-irrigated land was about 687 mm and from flood-irrigated land was about 621 mm from flood-irrigated land. On average, the ETa rate from sprinkler-irrigated fields was 0.25 mm per day higher than flood-irrigated fields over the growing season. Spatial analysis showed that ETa rates within individual fields of a single crop type that are irrigated with a single method (sprinkler or flood) can vary up to about 8 mm per day. It was estimated that the amount of sprinkler irrigation in 2007 accounted for approximately 3% of the total volume of ETa in the study area. When compared to non-irrigated dryland, sprinkler irrigation increases ETa by about 59 to 82% per unit area.</span></p>","language":"English","publisher":"OMICS International","doi":"10.4172/2168-9768.1000188","usgsCitation":"Sando, R., Caldwell, R.R., and Blasch, K.W., 2017, Using remote sensing to characterize and compare evapotranspiration from different irrigation regimes in the Smith River Watershed of central Montana: Irrigation & Drainage Systems Engineering, v. 6, no. 2, p. 1-10, https://doi.org/10.4172/2168-9768.1000188.","productDescription":"Article  1000188; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-064076","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":469560,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4172/2168-9768.1000188","text":"Publisher Index Page"},{"id":352681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Smith River Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.456298828125,\n              46.25\n            ],\n            [\n              -110.54443359375,\n              46.25\n            ],\n            [\n              -110.54443359375,\n              46.82731489926434\n            ],\n            [\n              -111.456298828125,\n              46.82731489926434\n            ],\n            [\n              -111.456298828125,\n              46.25\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3cc","contributors":{"authors":[{"text":"Sando, Roy 0000-0003-0704-6258","orcid":"https://orcid.org/0000-0003-0704-6258","contributorId":3874,"corporation":false,"usgs":true,"family":"Sando","given":"Roy","email":"","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":731435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Rodney R. 0000-0002-2588-715X caldwell@usgs.gov","orcid":"https://orcid.org/0000-0002-2588-715X","contributorId":2577,"corporation":false,"usgs":true,"family":"Caldwell","given":"Rodney","email":"caldwell@usgs.gov","middleInitial":"R.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":731437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blasch, Kyle W. 0000-0002-0590-0724 kblasch@usgs.gov","orcid":"https://orcid.org/0000-0002-0590-0724","contributorId":1631,"corporation":false,"usgs":true,"family":"Blasch","given":"Kyle","email":"kblasch@usgs.gov","middleInitial":"W.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":731436,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195972,"text":"70195972 - 2017 - Application and evaluation of a rapid response earthquake-triggered landslide model to the 25 April 2015 Mw 7.8 Gorkha earthquake, Nepal","interactions":[],"lastModifiedDate":"2018-03-09T16:23:33","indexId":"70195972","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3525,"text":"Tectonophysics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Application and evaluation of a rapid response earthquake-triggered landslide model to the 25 April 2015 M<sub>w</sub> 7.8 Gorkha earthquake, Nepal","title":"Application and evaluation of a rapid response earthquake-triggered landslide model to the 25 April 2015 Mw 7.8 Gorkha earthquake, Nepal","docAbstract":"<p><span>The 25 April 2015 M</span><sub>w</sub><span><span>&nbsp;</span>7.8 Gorkha earthquake produced strong ground motions across an approximately 250</span><span>&nbsp;</span><span>km by 100</span><span>&nbsp;</span><span>km swath in central Nepal. To assist disaster response activities, we modified an existing earthquake-triggered landslide model based on a Newmark sliding block analysis to estimate the extent and intensity of landsliding and landslide dam hazard. Landslide hazard maps were produced using Shuttle Radar Topography Mission (SRTM) digital topography, peak ground acceleration (PGA) information from the U.S. Geological Survey (USGS) ShakeMap program, and assumptions about the regional rock strength based on end-member values from previous studies. The instrumental record of seismicity in Nepal is poor, so PGA estimates were based on empirical Ground Motion Prediction Equations (GMPEs) constrained by teleseismic data and felt reports. We demonstrate a non-linear dependence of modeled landsliding on aggregate rock strength, where the number of landslides decreases exponentially with increasing rock strength. Model estimates are less sensitive to PGA at steep slopes (&gt;</span><span>&nbsp;</span><span>60°) compared to moderate slopes (30–60°). We compare forward model results to an inventory of landslides triggered by the Gorkha earthquake. We show that moderate rock strength inputs over estimate landsliding in regions beyond the main slip patch, which may in part be related to poorly constrained PGA estimates for this event at far distances from the source area. Directly above the main slip patch, however, the moderate strength model accurately estimates the total number of landslides within the resolution of the model (landslides</span><span>&nbsp;</span><span>≥</span><span>&nbsp;</span><span>0.0162</span><span>&nbsp;</span><span>km</span><sup>2</sup><span>; observed n</span><span>&nbsp;</span><span>=</span><span>&nbsp;</span><span>2214, modeled n</span><span>&nbsp;</span><span>=</span><span>&nbsp;</span><span>2987), but the pattern of landsliding differs from observations. This discrepancy is likely due to the unaccounted for effects of variable material strength and local topographic amplification of strong ground motion, as well as other simplifying assumptions about source characteristics and their relationship to landsliding.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.tecto.2016.10.031","usgsCitation":"Gallen, S.F., Clark, M., Godt, J.W., Roback, K., and Niemi, N., 2017, Application and evaluation of a rapid response earthquake-triggered landslide model to the 25 April 2015 Mw 7.8 Gorkha earthquake, Nepal: Tectonophysics, v. 714-715, p. 173-187, https://doi.org/10.1016/j.tecto.2016.10.031.","productDescription":"15 p.","startPage":"173","endPage":"187","ipdsId":"IP-078904","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":469563,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.tecto.2016.10.031","text":"Publisher Index Page"},{"id":352395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Nepal","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              84.53979492187499,\n              26.46073804319089\n            ],\n            [\n              86.98974609375,\n              26.46073804319089\n            ],\n            [\n              86.98974609375,\n              28.719496107557465\n            ],\n            [\n              84.53979492187499,\n              28.719496107557465\n            ],\n            [\n              84.53979492187499,\n              26.46073804319089\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"714-715","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3ce","contributors":{"authors":[{"text":"Gallen, Sean F.","contributorId":139683,"corporation":false,"usgs":false,"family":"Gallen","given":"Sean","email":"","middleInitial":"F.","affiliations":[{"id":12879,"text":"Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":730749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Marin K.","contributorId":139684,"corporation":false,"usgs":false,"family":"Clark","given":"Marin K.","affiliations":[{"id":12879,"text":"Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":730750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":730748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roback, Kevin","contributorId":200288,"corporation":false,"usgs":false,"family":"Roback","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":730751,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Niemi, Nathan A","contributorId":203251,"corporation":false,"usgs":false,"family":"Niemi","given":"Nathan A","affiliations":[{"id":36590,"text":"Dept. of Earth and Environmental Sciences, University of Michigan, Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":730752,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70191175,"text":"70191175 - 2017 - Crossing boundaries in a collaborative modeling workspace","interactions":[],"lastModifiedDate":"2017-09-28T13:14:42","indexId":"70191175","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3405,"text":"Society and Natural Resources","active":true,"publicationSubtype":{"id":10}},"title":"Crossing boundaries in a collaborative modeling workspace","docAbstract":"<p><span>There is substantial literature on the importance of bridging across disciplinary and science–management boundaries. One of the ways commonly suggested to cross boundaries is for participants from both sides of the boundary to jointly produce information (i.e., knowledge co-production). But simply providing tools or bringing people together in the same room is not sufficient. Here we present a case study documenting the mechanisms by which managers and scientists collaborated to incorporate climate change projections into Colorado’s State Wildlife Action Plan. A critical component of the project was the use of a collaborative modeling and visualization workspace: the U.S. Geological Survey’s Resource for Advanced Modeling (RAM). Using video analysis and pre/post surveys from this case study, we examine how the RAM facilitated cognitive and social processes that co-produced a more salient and credible end product. This case provides practical suggestions to scientists and practitioners who want to implement actionable science.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/08941920.2017.1290178","usgsCitation":"Morisette, J.T., Cravens, A.E., Miller, B., Talbert, M., Talbert, C., Jarnevich, C.S., Fink, M., Decker, K., and Odell, E., 2017, Crossing boundaries in a collaborative modeling workspace: Society and Natural Resources, v. 30, no. 9, p. 1158-1167, https://doi.org/10.1080/08941920.2017.1290178.","productDescription":"10 p.","startPage":"1158","endPage":"1167","ipdsId":"IP-081405","costCenters":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"links":[{"id":346161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-10","publicationStatus":"PW","scienceBaseUri":"59ce0a2be4b05fe04cc02108","contributors":{"authors":[{"text":"Morisette, Jeffrey T. 0000-0002-0483-0082 morisettej@usgs.gov","orcid":"https://orcid.org/0000-0002-0483-0082","contributorId":307,"corporation":false,"usgs":true,"family":"Morisette","given":"Jeffrey","email":"morisettej@usgs.gov","middleInitial":"T.","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":711420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravens, Amanda E. 0000-0002-0271-7967 aecravens@usgs.gov","orcid":"https://orcid.org/0000-0002-0271-7967","contributorId":196752,"corporation":false,"usgs":true,"family":"Cravens","given":"Amanda","email":"aecravens@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":711424,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Brian W. 0000-0003-1716-1161 bwmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":195418,"corporation":false,"usgs":true,"family":"Miller","given":"Brian W.","email":"bwmiller@usgs.gov","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":711425,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Talbert, Marian","contributorId":196751,"corporation":false,"usgs":false,"family":"Talbert","given":"Marian","affiliations":[],"preferred":false,"id":711421,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Talbert, Colin 0000-0002-9505-1876 talbertc@usgs.gov","orcid":"https://orcid.org/0000-0002-9505-1876","contributorId":181913,"corporation":false,"usgs":true,"family":"Talbert","given":"Colin","email":"talbertc@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":711422,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":711423,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fink, Michelle","contributorId":196753,"corporation":false,"usgs":false,"family":"Fink","given":"Michelle","email":"","affiliations":[],"preferred":false,"id":711426,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Decker, Karin","contributorId":196754,"corporation":false,"usgs":false,"family":"Decker","given":"Karin","email":"","affiliations":[],"preferred":false,"id":711427,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Odell, Eric","contributorId":196755,"corporation":false,"usgs":false,"family":"Odell","given":"Eric","email":"","affiliations":[],"preferred":false,"id":711428,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70191712,"text":"70191712 - 2017 - Viscoelastic lower crust and mantle relaxation following the 14–16 April 2016 Kumamoto, Japan, earthquake sequence","interactions":[],"lastModifiedDate":"2017-10-25T10:42:22","indexId":"70191712","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Viscoelastic lower crust and mantle relaxation following the 14–16 April 2016 Kumamoto, Japan, earthquake sequence","docAbstract":"<p><span>The 2016 Kumamoto, Japan, earthquake sequence, culminating in the&nbsp;</span><i>M</i><sub><i>w</i></sub><span>=7.0 16 April 2016 main shock, occurred within an active tectonic belt of central Kyushu. GPS data from GEONET reveal transient crustal motions from several millimeters per year up to ∼3&nbsp;cm/yr during the first 8.5&nbsp;months following the sequence. The spatial pattern of horizontal postseismic motions is shaped by both shallow afterslip and viscoelastic relaxation of the lower crust and upper mantle. We construct a suite of 2-D regional viscoelastic structures in order to derive an optimal joint afterslip and viscoelastic relaxation model using forward modeling of the viscoelastic relaxation. We find that afterslip dominates the postseismic relaxation in the near field (within 30&nbsp;km of the main shock epicenter), while viscoelastic relaxation dominates at greater distance. The viscoelastic modeling strongly favors a very weak lower crust below a ∼65&nbsp;km wide zone coinciding with the Beppu-Shimabara graben and the locus of central Kyushu volcanism. Inferred uppermost mantle viscosity is relatively low beneath southern Kyushu, consistent with independent inferences of a hydrated mantle wedge within the Nankai trough fore -arc.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2017GL074783","usgsCitation":"Pollitz, F., Kobayashi, T., Yarai, H., Shibazaki, B., and Matsumoto, T., 2017, Viscoelastic lower crust and mantle relaxation following the 14–16 April 2016 Kumamoto, Japan, earthquake sequence: Geophysical Research Letters, v. 44, no. 17, p. 8795-8803, https://doi.org/10.1002/2017GL074783.","productDescription":"9 p.","startPage":"8795","endPage":"8803","ipdsId":"IP-088335","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","city":"Kumamoto","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              130,\n              31.5\n            ],\n            [\n              132,\n              31.5\n            ],\n            [\n              132,\n              34\n            ],\n            [\n              130,\n              34\n            ],\n            [\n              130,\n              31.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","issue":"17","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-09","publicationStatus":"PW","scienceBaseUri":"59f1a2a4e4b0220bbd9d9f42","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kobayashi, Tomokazu","contributorId":197291,"corporation":false,"usgs":false,"family":"Kobayashi","given":"Tomokazu","email":"","affiliations":[],"preferred":false,"id":713141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yarai, Hiroshi","contributorId":197292,"corporation":false,"usgs":false,"family":"Yarai","given":"Hiroshi","email":"","affiliations":[],"preferred":false,"id":713142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shibazaki, Bunichiro","contributorId":197293,"corporation":false,"usgs":false,"family":"Shibazaki","given":"Bunichiro","email":"","affiliations":[],"preferred":false,"id":713143,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matsumoto, Takumi","contributorId":197294,"corporation":false,"usgs":false,"family":"Matsumoto","given":"Takumi","email":"","affiliations":[],"preferred":false,"id":713144,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195899,"text":"70195899 - 2017 - Play-fairway analysis for geothermal resources and exploration risk in the Modoc Plateau region","interactions":[],"lastModifiedDate":"2018-03-07T14:55:05","indexId":"70195899","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1828,"text":"Geothermics","active":true,"publicationSubtype":{"id":10}},"title":"Play-fairway analysis for geothermal resources and exploration risk in the Modoc Plateau region","docAbstract":"<p><span>The region surrounding the Modoc Plateau, encompassing parts of northeastern California, southern Oregon, and northwestern Nevada, lies at an intersection between two tectonic provinces; the Basin and Range province and the Cascade volcanic arc. Both of these provinces have substantial geothermal resource base and resource potential. Geothermal systems with evidence of magmatic heat, associated with Cascade arc magmatism, typify the western side of the region. Systems on the eastern side of the region appear to be fault controlled with heat derived from high crustal heat flow, both of which are typical of the Basin and Range. As it has the potential to host Cascade arc-type geothermal resources, Basin and Range-type geothermal resources, and/or resources with characteristics of both provinces, and because there is relatively little current development, the Modoc Plateau region represents an intriguing potential for undiscovered geothermal resources. It remains unclear however, what specific set(s) of characteristics are diagnostic of Modoc-type geothermal systems and how or if those characteristics are distinct from Basin and Range-type or Cascade arc-type geothermal systems. In order to evaluate the potential for undiscovered geothermal resources in the Modoc area, we integrate a wide variety of existing data in order to evaluate geothermal resource potential and exploration risk utilizing ‘play-fairway’ analysis. We consider that the requisite parameters for hydrothermal circulation are: 1) heat that is sufficient to drive circulation, and 2) permeability that is sufficient to allow for fluid circulation in the subsurface. We synthesize data that indicate the extent and distribution of these parameters throughout the Modoc region. ‘Fuzzy logic’ is used to incorporate expert opinion into the utility of each dataset as an indicator of either heat or permeability, and thus geothermal favorability. The results identify several geothermal prospects, areas that are highly favorable for the occurrence of both heat and permeability. These are also areas where there is sufficient data coverage, quality, and consistency that the exploration risk is relatively low. These unknown, undeveloped, and under-developed prospects are well-suited for continued exploration efforts. The results also indicate to what degree the two ‘play-types,’ i.e. Cascade arc-type or Basin and Range-type, apply to each of the geothermal prospects, a useful guide in exploration efforts.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geothermics.2017.04.003","usgsCitation":"Siler, D., Zhang, Y., Spycher, N.F., Dobson, P., McClain, J.S., Gasperikova, E., Zierenberg, R.A., Schiffman, P., Ferguson, C., Fowler, A., and Cantwell, C., 2017, Play-fairway analysis for geothermal resources and exploration risk in the Modoc Plateau region: Geothermics, v. 69, p. 15-33, https://doi.org/10.1016/j.geothermics.2017.04.003.","productDescription":"19 p.","startPage":"15","endPage":"33","ipdsId":"IP-081054","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":469548,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1413861","text":"Publisher Index Page"},{"id":352297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Modoc Plateau","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.44287109374999,\n              39.96449067924025\n            ],\n            [\n              -119.5037841796875,\n              39.96449067924025\n            ],\n            [\n              -119.5037841796875,\n              43.06487470411881\n            ],\n            [\n              -121.44287109374999,\n              43.06487470411881\n            ],\n            [\n              -121.44287109374999,\n              39.96449067924025\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"69","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3d2","contributors":{"authors":[{"text":"Siler, Drew","contributorId":193559,"corporation":false,"usgs":false,"family":"Siler","given":"Drew","affiliations":[],"preferred":false,"id":730435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Yingqi","contributorId":203070,"corporation":false,"usgs":false,"family":"Zhang","given":"Yingqi","email":"","affiliations":[],"preferred":false,"id":730436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spycher, Nicolas F.","contributorId":203071,"corporation":false,"usgs":false,"family":"Spycher","given":"Nicolas","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":730437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dobson, Patrick","contributorId":193558,"corporation":false,"usgs":false,"family":"Dobson","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":730438,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McClain, James S.","contributorId":103578,"corporation":false,"usgs":true,"family":"McClain","given":"James","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":730439,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gasperikova, Erika","contributorId":193561,"corporation":false,"usgs":false,"family":"Gasperikova","given":"Erika","affiliations":[],"preferred":false,"id":730440,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zierenberg, Robert A.","contributorId":91883,"corporation":false,"usgs":true,"family":"Zierenberg","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":730441,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schiffman, Peter","contributorId":40119,"corporation":false,"usgs":true,"family":"Schiffman","given":"Peter","email":"","affiliations":[],"preferred":false,"id":730442,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ferguson, Colin","contributorId":203072,"corporation":false,"usgs":false,"family":"Ferguson","given":"Colin","email":"","affiliations":[],"preferred":false,"id":730443,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fowler, Andrew","contributorId":203073,"corporation":false,"usgs":false,"family":"Fowler","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":730444,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cantwell, Carolyn","contributorId":203075,"corporation":false,"usgs":false,"family":"Cantwell","given":"Carolyn","email":"","affiliations":[],"preferred":false,"id":730445,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70192166,"text":"70192166 - 2017 - Atmospheric rivers emerge as a global science and applications focus","interactions":[],"lastModifiedDate":"2017-11-06T13:45:32","indexId":"70192166","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"Atmospheric rivers emerge as a global science and applications focus","docAbstract":"<p>Recent advances in atmospheric sciences and hydrology have identified the key role of atmo-spheric rivers (ARs) in determining the distribution of strong precipitation events in the midlatitudes. The growth of the subject is evident in the increase in scientific publications that discuss ARs (Fig. 1a). Combined with related phenomena, that is, warm conveyor belts (WCBs) and tropical moisture exports (TMEs), the frequency, position, and strength of ARs determine the occurrence of floods, droughts, and water resources in many parts of the world. A conference at the Scripps Institution of Oceanography in La Jolla, California, recently gathered over 100 experts in atmospheric, hydrologic, oceanic, and polar science; ecology; water management; and civil engineering to assess the state of AR science and to explore the need for new information. This first International Atmospheric Rivers Conference (IARC) allowed for much needed introductions and interactions across fields and regions, for example, participants came from five continents, and studies covered ARs in six continents and Greenland (Fig. 1b). IARC also fostered discussions of the status and future of AR science, and attendees strongly supported the idea of holding another IARC at the Scripps Institution of Oceanography in the summer of 2018.</p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-16-0262.1","usgsCitation":"Ralph, F.M., Dettinger, M.D., Lavers, D.A., Gorodetskaya, I., Martin, A., Viale, M., White, A., Oakley, N.S., Rutz, J.J., Spackman, J.R., Wernli, H., and Cordeira, J.M., 2017, Atmospheric rivers emerge as a global science and applications focus: Bulletin of the American Meteorological Society, v. 98, p. 1969-1973, https://doi.org/10.1175/BAMS-D-16-0262.1.","productDescription":"5 p.","startPage":"1969","endPage":"1973","ipdsId":"IP-079803","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":461417,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1175/bams-d-16-0262.1","text":"External Repository"},{"id":348280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e88be4b09af898c8cb85","contributors":{"authors":[{"text":"Ralph, F. Martin","contributorId":150276,"corporation":false,"usgs":false,"family":"Ralph","given":"F.","email":"","middleInitial":"Martin","affiliations":[{"id":17953,"text":"Earth Systems Research Lab, NOAA","active":true,"usgs":false}],"preferred":false,"id":714509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":714508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lavers, David A.","contributorId":167847,"corporation":false,"usgs":false,"family":"Lavers","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":24837,"text":"Center for Western Weather and Water Extremes, Scripps Institution of Oceanography, University of California, San Diego","active":true,"usgs":false}],"preferred":false,"id":714510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gorodetskaya, Irina","contributorId":197882,"corporation":false,"usgs":false,"family":"Gorodetskaya","given":"Irina","email":"","affiliations":[],"preferred":false,"id":714511,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Andrew","contributorId":197883,"corporation":false,"usgs":false,"family":"Martin","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":714512,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Viale, Maximilliano","contributorId":197884,"corporation":false,"usgs":false,"family":"Viale","given":"Maximilliano","email":"","affiliations":[],"preferred":false,"id":714513,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"White, Allen","contributorId":149943,"corporation":false,"usgs":false,"family":"White","given":"Allen","email":"","affiliations":[{"id":17861,"text":"NOAA/Earth System Research Laboratory/Physical Sciences Division, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":714514,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Oakley, Nina S.","contributorId":197885,"corporation":false,"usgs":false,"family":"Oakley","given":"Nina","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":714515,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rutz, Jonathan J.","contributorId":197886,"corporation":false,"usgs":false,"family":"Rutz","given":"Jonathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714516,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Spackman, J. Ryan","contributorId":197887,"corporation":false,"usgs":false,"family":"Spackman","given":"J.","email":"","middleInitial":"Ryan","affiliations":[],"preferred":false,"id":714517,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wernli, Heini","contributorId":197888,"corporation":false,"usgs":false,"family":"Wernli","given":"Heini","email":"","affiliations":[],"preferred":false,"id":714518,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cordeira, Jason M.","contributorId":197889,"corporation":false,"usgs":false,"family":"Cordeira","given":"Jason","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714519,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70194219,"text":"70194219 - 2017 - The planetary data system","interactions":[],"lastModifiedDate":"2018-01-19T16:20:21","indexId":"70194219","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5586,"text":"Lunar and Planetary Information Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"The planetary data system","docAbstract":"<p>In the early 1980s, the Space Science Board (SSB) of the National Research Council was concerned about the poor and inconsistent treatment of scientific information returned from NASA’s space science missions. The SSB formed a panel [The Committee on Data Management and Computation (CODMAC)] to assess the situation and make recommendations to NASA for improvements. The CODMAC panel issued a report [1,2] that led to a number of actions, one of which was the convening of a Planetary Data Workshop in November 1983 [3]. The key findings of that workshop were that (1) important datasets were being irretrievably lost, and (2) the use of planetary data by the wider community is constrained by inaccessibility and a lack of commonality in format and documentation. The report further stated, “Most participants felt the present system (of data archiving and access) is inadequate and immediate changes are necessary to insure retention of and access to these and future datasets.”</p>","language":"English","publisher":"Lunar and Planetary Institute","usgsCitation":"Acton, C., Slavney, S., Arvidson, R.E., Gaddis, L.R., Gordon, M., and Lavoie, S., 2017, The planetary data system: Lunar and Planetary Information Bulletin, no. 150, p. 2-11.","productDescription":"10 p.","startPage":"2","endPage":"11","ipdsId":"IP-092524","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":350070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349087,"type":{"id":15,"text":"Index Page"},"url":"https://www.lpi.usra.edu/publications/newsletters/lpib/lpib150.pdf"}],"issue":"150","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb5be4b06e28e9c22fa8","contributors":{"authors":[{"text":"Acton, Charles","contributorId":200589,"corporation":false,"usgs":false,"family":"Acton","given":"Charles","affiliations":[],"preferred":false,"id":722743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slavney, Susan","contributorId":200590,"corporation":false,"usgs":false,"family":"Slavney","given":"Susan","email":"","affiliations":[],"preferred":false,"id":722744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arvidson, Raymond E.","contributorId":106626,"corporation":false,"usgs":false,"family":"Arvidson","given":"Raymond","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":722745,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gaddis, Lisa R. 0000-0001-9953-5483 lgaddis@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-5483","contributorId":2817,"corporation":false,"usgs":true,"family":"Gaddis","given":"Lisa","email":"lgaddis@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":722742,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gordon, Mitchell","contributorId":200591,"corporation":false,"usgs":false,"family":"Gordon","given":"Mitchell","affiliations":[],"preferred":false,"id":722746,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lavoie, Susan","contributorId":200592,"corporation":false,"usgs":false,"family":"Lavoie","given":"Susan","email":"","affiliations":[],"preferred":false,"id":722747,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70190550,"text":"70190550 - 2017 - Conservation endocrinology","interactions":[],"lastModifiedDate":"2017-09-07T12:14:30","indexId":"70190550","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Conservation endocrinology","docAbstract":"<p><span>Endocrinologists can make significant contributions to conservation biology by helping to understand the mechanisms by which organisms cope with changing environments. Field endocrine techniques have advanced rapidly in recent years and can provide substantial information on the growth, stress, and reproductive status of individual animals, thereby providing insight into current and future responses of populations to changes in the environment. Environmental stressors and reproductive status can be detected nonlethally by measuring a number of endocrine-related endpoints, including steroids in plasma, living and nonliving tissue, urine, and feces. Information on the environmental or endocrine requirements of individual species for normal growth, development, and reproduction will provide critical information for species and ecosystem conservation. For many taxa, basic information on endocrinology is lacking, and advances in conservation endocrinology will require approaches that are both “basic” and “applied” and include integration of laboratory and field approaches.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/biosci/bix026","usgsCitation":"McCormick, S.D., and Romero, L.M., 2017, Conservation endocrinology: BioScience, v. 67, no. 5, p. 429-442, https://doi.org/10.1093/biosci/bix026.","productDescription":"14 p.","startPage":"429","endPage":"442","ipdsId":"IP-082385","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":469555,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/bix026","text":"Publisher Index Page"},{"id":345544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","issue":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-26","publicationStatus":"PW","scienceBaseUri":"59b25b00e4b020cdf7db1fb5","contributors":{"authors":[{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":709756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romero, L. Michael","contributorId":196256,"corporation":false,"usgs":false,"family":"Romero","given":"L.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":709757,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70194724,"text":"70194724 - 2017 - Satellite monitoring of cyanobacterial harmful algal bloom frequency in recreational waters and drinking water sources","interactions":[],"lastModifiedDate":"2017-12-14T12:48:05","indexId":"70194724","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Satellite monitoring of cyanobacterial harmful algal bloom frequency in recreational waters and drinking water sources","docAbstract":"<p><span>Cyanobacterial harmful algal blooms (cyanoHAB) cause extensive problems in lakes worldwide, including human and ecological health risks, anoxia and fish kills, and taste and odor problems. CyanoHABs are a particular concern in both recreational waters and drinking water sources because of their dense biomass and the risk of exposure to toxins. Successful cyanoHAB assessment using satellites may provide an indicator for human and ecological health protection. In this study, methods were developed to assess the utility of satellite technology for detecting cyanoHAB frequency of occurrence at locations of potential management interest. The European Space Agency's MEdium Resolution Imaging Spectrometer (MERIS) was evaluated to prepare for the equivalent series of Sentinel-3 Ocean and Land Colour Imagers (OLCI) launched in 2016 as part of the Copernicus program. Based on the 2012 National Lakes Assessment site evaluation guidelines and National Hydrography Dataset, the continental United States contains 275,897 lakes and reservoirs &gt;1</span><span>&nbsp;</span><span>ha in area. Results from this study show that 5.6% of waterbodies were resolvable by satellites with 300</span><span>&nbsp;</span><span>m single-pixel resolution and 0.7% of waterbodies were resolvable when a three by three pixel (3</span><span>&nbsp;</span><span>×</span><span>&nbsp;</span><span>3-pixel) array was applied based on minimum Euclidian distance from shore. Satellite data were spatially joined to U.S. public water surface intake (PWSI) locations, where single-pixel resolution resolved 57% of the PWSI locations and a 3</span><span>&nbsp;</span><span>×</span><span>&nbsp;</span><span>3-pixel array resolved 33% of the PWSI locations. Recreational and drinking water sources in Florida and Ohio were ranked from 2008 through 2011 by cyanoHAB frequency above the World Health Organization’s (WHO) high threshold for risk of 100,000 cells mL</span><sup>−1</sup><span>. The ranking identified waterbodies with values above the WHO high threshold, where Lake Apopka, FL (99.1%) and Grand Lake St. Marys, OH (83%) had the highest observed bloom frequencies per region. The method presented here may indicate locations with high exposure to cyanoHABs and therefore can be used to assist in prioritizing management resources and actions for recreational and drinking water sources.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2017.04.046","usgsCitation":"Clark, J.M., Schaeffer, B., Darling, J.A., Urquhart, E.A., Johnston, J.M., Ignatius, A.R., Myer, M.H., Loftin, K.A., Werdell, P., and Stumpf, R., 2017, Satellite monitoring of cyanobacterial harmful algal bloom frequency in recreational waters and drinking water sources: Ecological Indicators, v. 80, p. 84-95, https://doi.org/10.1016/j.ecolind.2017.04.046.","productDescription":"12 p.","startPage":"84","endPage":"95","ipdsId":"IP-085906","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":469570,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2017.04.046","text":"Publisher Index Page"},{"id":349989,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Ohio","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.715576171875,\n              38.84826438869913\n            ],\n            [\n              -81.265869140625,\n              38.84826438869913\n            ],\n            [\n              -81.265869140625,\n              41.97582726102573\n            ],\n            [\n              -84.715576171875,\n              41.97582726102573\n            ],\n            [\n              -84.715576171875,\n              38.84826438869913\n            ]\n          ]\n        ]\n  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A.","contributorId":201327,"corporation":false,"usgs":false,"family":"Urquhart","given":"Erin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":725017,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnston, John M.","contributorId":104318,"corporation":false,"usgs":true,"family":"Johnston","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":725018,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ignatius, Amber R. arignatius@usgs.gov","contributorId":3817,"corporation":false,"usgs":true,"family":"Ignatius","given":"Amber","email":"arignatius@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":725019,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Myer, Mark H.","contributorId":201335,"corporation":false,"usgs":false,"family":"Myer","given":"Mark","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":725020,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":725013,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Werdell, P. Jeremy","contributorId":152173,"corporation":false,"usgs":false,"family":"Werdell","given":"P. Jeremy","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":725021,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stumpf, Richard P.","contributorId":7739,"corporation":false,"usgs":true,"family":"Stumpf","given":"Richard P.","affiliations":[],"preferred":false,"id":725022,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70194548,"text":"70194548 - 2017 - Luminescence dating of paleolake deltas and glacial deposits in Garwood Valley, Antarctica: Implications for climate, Ross ice sheet dynamics, and paleolake duration","interactions":[],"lastModifiedDate":"2022-10-31T16:13:17.565876","indexId":"70194548","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Luminescence dating of paleolake deltas and glacial deposits in Garwood Valley, Antarctica: Implications for climate, Ross ice sheet dynamics, and paleolake duration","docAbstract":"<p style=\"text-align: justify;\" data-mce-style=\"text-align: justify;\"><span>The formation of perched deltas and other lacustrine deposits in the McMurdo Dry Valleys of Antarctica is widely considered to be evidence of valley-filling lakes dammed by the grounded Ross Sea ice sheet during the local Last Glacial Maximum, with lake drainage interpreted as a record of grounding line retreat. We used luminescence dating to determine the age of paleolake deltas and glacial tills in Garwood Valley, a coastal dry valley that opens to the Ross Sea. Luminescence ages are stratigraphically consistent with radiocarbon results from algal mats within the same delta deposits but suggest radiocarbon dates from lacustrine carbonates may overestimate deposit ages by thousands of years. Results suggest that late Holocene delta deposition into paleolake Howard in Garwood Valley persisted until ca. 3.5 ka. This is significantly younger than the date when grounded ice is thought to have retreated from the Ross Sea. Our evidence suggests that the local, stranded ice-cored till topography in Garwood Valley, rather than regional ice-sheet dynamics, may have controlled lake levels for some McMurdo Dry Valleys paleolakes. Age control from the supraglacial Ross Sea drift suggests grounding and up-valley advance of the Ross Sea ice sheet into Garwood valley during marine oxygen isotope stage (MIS) 4 (71–78 ka) and the local Last Glacial Maximum (9–10 ka). This work demonstrates the power of combining luminescence dating with existing radiocarbon data sets to improve understanding of the relationships among paleolake formation, glacial position, and stream discharge in response to climate change.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31539.1","usgsCitation":"Levy, J.S., Rittenour, T.M., Fountain, A.G., and O'Connor, J., 2017, Luminescence dating of paleolake deltas and glacial deposits in Garwood Valley, Antarctica: Implications for climate, Ross ice sheet dynamics, and paleolake duration: GSA Bulletin, v. 129, no. 9-10, p. 1071-1084, https://doi.org/10.1130/B31539.1.","productDescription":"14 p.","startPage":"1071","endPage":"1084","ipdsId":"IP-081563","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":349678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica, Garwood Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              162.57810708401985,\n              -77.92420898064601\n            ],\n            [\n              162.57810708401985,\n              -78.2292273580918\n            ],\n            [\n              163.64743653657746,\n              -78.2292273580918\n            ],\n            [\n              163.64743653657746,\n              -77.92420898064601\n            ],\n            [\n              162.57810708401985,\n              -77.92420898064601\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"129","issue":"9-10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-28","publicationStatus":"PW","scienceBaseUri":"5a60fb5be4b06e28e9c22fa5","contributors":{"authors":[{"text":"Levy, Joseph S.","contributorId":201143,"corporation":false,"usgs":false,"family":"Levy","given":"Joseph","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":724426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rittenour, Tammy M.","contributorId":140755,"corporation":false,"usgs":false,"family":"Rittenour","given":"Tammy","email":"","middleInitial":"M.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":724427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fountain, Andrew G.","contributorId":10410,"corporation":false,"usgs":false,"family":"Fountain","given":"Andrew","email":"","middleInitial":"G.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":724428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":724425,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193544,"text":"70193544 - 2017 - Screening of duplicated loci reveals hidden divergence patterns in a complex salmonid genome","interactions":[],"lastModifiedDate":"2017-11-14T13:12:14","indexId":"70193544","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Screening of duplicated loci reveals hidden divergence patterns in a complex salmonid genome","docAbstract":"<p><span>A whole-genome duplication (WGD) doubles the entire genomic content of a species and is thought to have catalysed adaptive radiation in some polyploid-origin lineages. However, little is known about general consequences of a WGD because gene duplicates (i.e., paralogs) are commonly filtered in genomic studies; such filtering may remove substantial portions of the genome in data sets from polyploid-origin species. We demonstrate a new method that enables genome-wide scans for signatures of selection at both nonduplicated and duplicated loci by taking locus-specific copy number into account. We apply this method to RAD sequence data from different ecotypes of a polyploid-origin salmonid (</span><i>Oncorhynchus nerka</i><span>) and reveal signatures of divergent selection that would have been missed if duplicated loci were filtered. We also find conserved signatures of elevated divergence at pairs of homeologous chromosomes with residual tetrasomic inheritance, suggesting that joint evolution of some nondiverged gene duplicates may affect the adaptive potential of these genes. These findings illustrate that including duplicated loci in genomic analyses enables novel insights into the evolutionary consequences of WGDs and local segmental gene duplications.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/mec.14201","usgsCitation":"Limborg, M.T., Larson, W., Seeb, L.W., and Seeb, J.E., 2017, Screening of duplicated loci reveals hidden divergence patterns in a complex salmonid genome: Molecular Ecology, v. 26, no. 17, p. 4509-4522, https://doi.org/10.1111/mec.14201.","productDescription":"14 p.","startPage":"4509","endPage":"4522","ipdsId":"IP-083394","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348823,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -170.33203125,\n              40\n            ],\n            [\n              -107.841796875,\n              40\n            ],\n            [\n              -107.841796875,\n              71.44117085172385\n            ],\n            [\n              -170.33203125,\n              71.44117085172385\n            ],\n            [\n              -170.33203125,\n              40\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"17","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-05","publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fbf","contributors":{"authors":[{"text":"Limborg, Morten T.","contributorId":199510,"corporation":false,"usgs":false,"family":"Limborg","given":"Morten","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":719317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Wesley 0000-0003-4473-3401 wlarson@usgs.gov","orcid":"https://orcid.org/0000-0003-4473-3401","contributorId":199509,"corporation":false,"usgs":true,"family":"Larson","given":"Wesley","email":"wlarson@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seeb, Lisa W.","contributorId":66008,"corporation":false,"usgs":false,"family":"Seeb","given":"Lisa","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":719318,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seeb, James E.","contributorId":87003,"corporation":false,"usgs":true,"family":"Seeb","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":719319,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192847,"text":"70192847 - 2017 - A comment on “temporal variation in survival and recovery rates of lesser scaup”","interactions":[],"lastModifiedDate":"2017-11-01T16:51:04","indexId":"70192847","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"A comment on “temporal variation in survival and recovery rates of lesser scaup”","docAbstract":"<p><span>Concerns about declines in the abundance of lesser scaup (</span><i>Aythya affinis</i><span>) have promoted a number of analyses to understand reasons for this decline. Unfortunately, most of these analyses, including that of Arnold et al. (2016 Journal of Wildlife Management 80: 850–861), are based on observational studies leading to weak inference. Although we commend the efforts of Arnold et al. (2016 Journal of Wildlife Management 80: 850–861), we think their conclusions are over-stated given their retrospective analysis. Further, we note a number of inconsistencies in their reasoning and offer alternative conclusions that can be drawn from their analysis. Given the uncertainty still surrounding management of lesser scaup, we do not believe it is prudent to abandon or greatly modify adaptive management approaches designed specifically to make optimal decisions in the face of uncertainty. The current learning-based and recursive approach to management appears to be providing adequate guidance for harvest without punctuated changes to harvest levels, as Arnold et al. (2016 Journal of Wildlife Management 80: 850–861) recommend.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21250","usgsCitation":"Lindberg, M.S., Boomer, G., Schmutz, J.A., and Walker, J.A., 2017, A comment on “temporal variation in survival and recovery rates of lesser scaup”: Journal of Wildlife Management, v. 81, no. 7, p. 1138-1141, https://doi.org/10.1002/jwmg.21250.","productDescription":"4 p.","startPage":"1138","endPage":"1141","ipdsId":"IP-081162","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":348058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-20","publicationStatus":"PW","scienceBaseUri":"59fadd20e4b0531197b13c82","contributors":{"authors":[{"text":"Lindberg, Mark S.","contributorId":167774,"corporation":false,"usgs":false,"family":"Lindberg","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":24830,"text":"Department of Wildlife and Institute of Arctic Biology, University of Alaska, Fairbanks, Alaska","active":true,"usgs":false}],"preferred":false,"id":719241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boomer, G. Scott","contributorId":84603,"corporation":false,"usgs":true,"family":"Boomer","given":"G. Scott","affiliations":[],"preferred":false,"id":719242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":717185,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walker, Johann A.","contributorId":199474,"corporation":false,"usgs":false,"family":"Walker","given":"Johann","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":719243,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191011,"text":"70191011 - 2017 - Comparing automated classification and digitization approaches to detect change in eelgrass bed extent during restoration of a large river delta","interactions":[],"lastModifiedDate":"2017-09-20T15:59:41","indexId":"70191011","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Comparing automated classification and digitization approaches to detect change in eelgrass bed extent during restoration of a large river delta","docAbstract":"<p><span>Native eelgrass (</span><i>Zostera marina</i><span>) is an important contributor to ecosystem services that supplies cover for juvenile fish, supports a variety of invertebrate prey resources for fish and waterbirds, provides substrate for herring roe consumed by numerous fish and birds, helps stabilize sediment, and sequesters organic carbon. Seagrasses are in decline globally, and monitoring changes in their growth and extent is increasingly valuable to determine impacts from large-scale estuarine restoration and inform blue carbon mapping initiatives. Thus, we examined the efficacy of two remote sensing mapping methods with high-resolution (0.5 m pixel size) color near infrared imagery with ground validation to assess change following major tidal marsh restoration. Automated classification of false color aerial imagery and digitized polygons documented a slight decline in eelgrass area directly after restoration followed by an increase two years later. Classification of sparse and low to medium density eelgrass was confounded in areas with algal cover, however large dense patches of eelgrass were well delineated. Automated classification of aerial imagery from unsupervised and supervised methods provided reasonable accuracies of 73% and hand-digitizing polygons from the same imagery yielded similar results. Visual clues for hand digitizing from the high-resolution imagery provided as reliable a map of dense eelgrass extent as automated image classification. We found that automated classification had no advantages over manual digitization particularly because of the limitations of detecting eelgrass with only three bands of imagery and near infrared.</span></p>","language":"English","publisher":"Northwest Scientific Association","doi":"10.3955/046.091.0307","usgsCitation":"Davenport, A.E., Davis, J.D., Woo, I., Grossman, E.E., Barham, J.B., Ellings, C.S., and Takekawa, J.Y., 2017, Comparing automated classification and digitization approaches to detect change in eelgrass bed extent during restoration of a large river delta: Northwest Science, v. 91, no. 3, p. 272-282, https://doi.org/10.3955/046.091.0307.","productDescription":"11 p.","startPage":"272","endPage":"282","ipdsId":"IP-075396","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":345974,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Nisqually Delta, Puget Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.73685455322266,\n              47.07690269678769\n            ],\n            [\n              -122.67866134643553,\n              47.07690269678769\n            ],\n            [\n              -122.67866134643553,\n              47.1075227853425\n            ],\n            [\n              -122.73685455322266,\n              47.1075227853425\n            ],\n            [\n              -122.73685455322266,\n              47.07690269678769\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"91","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59c37e3be4b091459a6316ff","contributors":{"authors":[{"text":"Davenport, Anna Elizabeth","contributorId":196608,"corporation":false,"usgs":false,"family":"Davenport","given":"Anna","email":"","middleInitial":"Elizabeth","affiliations":[],"preferred":false,"id":710912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Jerry D.","contributorId":196609,"corporation":false,"usgs":false,"family":"Davis","given":"Jerry","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":710913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":710911,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":196610,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric","email":"egrossman@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":710914,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barham, Jesse B.","contributorId":149342,"corporation":false,"usgs":false,"family":"Barham","given":"Jesse","email":"","middleInitial":"B.","affiliations":[{"id":17710,"text":"Nisqually NWR, USFWS, Olympia, WA","active":true,"usgs":false}],"preferred":false,"id":710915,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ellings, Christopher S.","contributorId":149343,"corporation":false,"usgs":false,"family":"Ellings","given":"Christopher","email":"","middleInitial":"S.","affiliations":[{"id":17711,"text":"Dep't Natural Resources, Nisqually Indian Tribe, Olympia, WA","active":true,"usgs":false}],"preferred":false,"id":710916,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":196611,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":710917,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70189769,"text":"ofr20171095 - 2017 - Results of hydrologic monitoring on landslide-prone coastal bluffs near Mukilteo, Washington","interactions":[],"lastModifiedDate":"2017-08-31T11:32:02","indexId":"ofr20171095","displayToPublicDate":"2017-08-31T12:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1095","title":"Results of hydrologic monitoring on landslide-prone coastal bluffs near Mukilteo, Washington","docAbstract":"<p>A hydrologic monitoring network was installed to investigate landslide hazards affecting the railway corridor along the eastern shore of Puget Sound between Seattle and Everett, near Mukilteo, Washington. During the summer of 2015, the U.S. Geological Survey installed monitoring equipment at four sites equipped with instrumentation to measure rainfall and air temperature every 15 minutes. Two of the four sites are installed on contrasting coastal bluffs, one landslide scarred and one vegetated. At these two sites, in addition to rainfall and air temperature, volumetric water content, pore pressure, soil suction, soil temperature, and barometric pressure were measured every 15 minutes. The instrumentation was designed to supplement landslide-rainfall thresholds developed by the U.S. Geological Survey with a long-term goal of advancing the understanding of the relationship between landslide potential and hydrologic forcing along the coastal bluffs. Additionally, the system was designed to function as a prototype monitoring system to evaluate criteria for site selection, instrument selection, and placement of instruments. The purpose of this report is to describe the monitoring system, present the data collected since installation, and describe significant events represented within the dataset, which is published as a separate data release. The findings provide insight for building and configuring larger, modular monitoring networks.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171095","collaboration":"Prepared as part of a Technical Assistance Agreement with Sound Transit","usgsCitation":"Smith, J.B., Baum, R.L., Mirus, B.B., Michel, A.R., and Stark, B., 2017, Results of hydrologic monitoring on landslide-prone coastal bluffs near Mukilteo, Washington: U.S. Geological Survey Open-File Report 2017–1095, 48 p., https://doi.org/10.3133/ofr20171095.","productDescription":"Report: vii, 48 p.; Data Release","numberOfPages":"60","onlineOnly":"Y","ipdsId":"IP-086276","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":345113,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1095/ofr20171095.pdf","text":"Report","size":"4.69 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1095"},{"id":345112,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1095/coverthb.jpg"},{"id":345114,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NZ85WX","text":"USGS Data Release","description":"USGS data release","linkHelpText":"Results of hydrologic monitoring on landslide-prone coastal bluffs near Mukilteo, Washington"}],"country":"United States","state":"Washington","city":"Mukilteo","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.35748291015625,\n              47.87352572966863\n            ],\n            [\n              -122.29225158691406,\n              47.87352572966863\n            ],\n            [\n              -122.29225158691406,\n              47.954064687296885\n            ],\n            [\n              -122.35748291015625,\n              47.954064687296885\n            ],\n            [\n              -122.35748291015625,\n              47.87352572966863\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"http://geohazards.cr.usgs.gov/\" data-mce-href=\"http://geohazards.cr.usgs.gov/\">Director, Geologic Hazards Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-966<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Preface</li><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Previous Work</li><li>Site Descriptions</li><li>Field Instrumentation</li><li>System Reliability and Recommended Improvements</li><li>Data Preparation for Analysis and Release</li><li>Overview of Acquired Data</li><li>Conclusion</li><li>References Cited</li><li>Appendix 1. Datalogger Programs</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2017-08-31","noUsgsAuthors":false,"publicationDate":"2017-08-31","publicationStatus":"PW","scienceBaseUri":"59a9203de4b07e1a023ccd91","contributors":{"authors":[{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":706287,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":706288,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":706289,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Michel, Abigail R.","contributorId":195122,"corporation":false,"usgs":false,"family":"Michel","given":"Abigail","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":708405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stark, Ben","contributorId":195123,"corporation":false,"usgs":false,"family":"Stark","given":"Ben","email":"","affiliations":[],"preferred":false,"id":706291,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70190369,"text":"70190369 - 2017 - Increasing rock-avalanche size and mobility in Glacier Bay National Park and Preserve, Alaska detected from 1984 to 2016 Landsat imagery","interactions":[],"lastModifiedDate":"2019-12-09T11:37:14","indexId":"70190369","displayToPublicDate":"2017-08-31T11:29:23","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2604,"text":"Landslides","active":true,"publicationSubtype":{"id":10}},"title":"Increasing rock-avalanche size and mobility in Glacier Bay National Park and Preserve, Alaska detected from 1984 to 2016 Landsat imagery","docAbstract":"<p><span>In the USA, climate change is expected to have an adverse impact on slope stability in Alaska. However, to date, there has been limited work done in Alaska to assess if changes in slope stability are occurring. To address this issue, we used 30-m Landsat imagery acquired from 1984 to 2016 to establish an inventory of 24 rock avalanches in a 5000-km</span><sup>2</sup><span>&nbsp;area of Glacier Bay National Park and Preserve in southeast Alaska. A search of available earthquake catalogs revealed that none of the avalanches were triggered by earthquakes. Analyses of rock-avalanche magnitude, mobility, and frequency reveal a cluster of large (areas ranging from 5.5 to 22.2&nbsp;km</span><sup>2</sup><span>), highly mobile (height/length&nbsp;&lt;&nbsp;0.3) rock avalanches that occurred from June 2012 through June 2016 (near the end of the 33-year period of record). These rock avalanches began about 2&nbsp; years after the long-term trend in mean annual maximum air temperature may have exceeded 0&nbsp;°C. Possibly more important, most of these rock avalanches occurred during a multiple-year period of record-breaking warm winter and spring air temperatures. These observations suggested to us that rock avalanches in the study area may be becoming larger because of rock-permafrost degradation. However, other factors, such as accumulating elastic strain, glacial thinning, and increased precipitation, may also play an important role in preconditioning slopes for failure during periods of warm temperatures.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10346-017-0879-7","usgsCitation":"Coe, J.A., Bessette-Kirton, E., and Geertsema, M., 2017, Increasing rock-avalanche size and mobility in Glacier Bay National Park and Preserve, Alaska detected from 1984 to 2016 Landsat imagery: Landslides, v. 15, no. 3, p. 393-407, https://doi.org/10.1007/s10346-017-0879-7.","productDescription":"15 p.","startPage":"393","endPage":"407","ipdsId":"IP-084975","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":469574,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10346-017-0879-7","text":"Publisher Index Page"},{"id":370107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Glacier Bay National Park and Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -138.504638671875,\n              58.10110549730587\n            ],\n            [\n              -135.6427001953125,\n              58.10110549730587\n            ],\n            [\n              -135.6427001953125,\n              59.14213494974261\n            ],\n            [\n              -138.504638671875,\n              59.14213494974261\n            ],\n            [\n              -138.504638671875,\n              58.10110549730587\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":708745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bessette-Kirton, Erin 0000-0002-2797-0694 ebessette-kirton@usgs.gov","orcid":"https://orcid.org/0000-0002-2797-0694","contributorId":177153,"corporation":false,"usgs":true,"family":"Bessette-Kirton","given":"Erin","email":"ebessette-kirton@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":708746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Geertsema, M. 0000-0002-4650-8251","orcid":"https://orcid.org/0000-0002-4650-8251","contributorId":167412,"corporation":false,"usgs":false,"family":"Geertsema","given":"M.","affiliations":[],"preferred":false,"id":708747,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190337,"text":"70190337 - 2017 - Late Quaternary environmental dynamics in the Atacama Desert reconstructed from rodent midden pollen records","interactions":[],"lastModifiedDate":"2018-03-29T12:45:16","indexId":"70190337","displayToPublicDate":"2017-08-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2437,"text":"Journal of Quaternary Science","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary environmental dynamics in the Atacama Desert reconstructed from rodent midden pollen records","docAbstract":"<p><span>In the past two decades, much has been learned about the late Quaternary climate history of the Atacama Desert with some details still unclear about the seasonality, timing and extent of wet and dry phases. Modern climate studies reveal that, far from exhibiting a unique pattern, seasonal precipitation originates from many sources and mechanisms. For the last 16 ka, we attempt to sort out these complexities in pollen records from four fossil rodent midden series spanning 22°–25°S in northern Chile. Widespread wet conditions prevailed during the late Pleistocene and early Holocene, particularly between 13 and 9 ka, evidenced by &lt;400 m lowering of pollen zones (plant communities) compared to today. Regional differences in the timing and magnitude of this displacement may be related to the prevailing source (tropical/extra‐tropical) or mode (NNW/SE) of tropical precipitation through time. Wet conditions persisted well into the early Holocene, lasting ∼1–1.5 ka longer than previously suggested. The pollen record suggests extreme drying ∼8 ka, possibly associated with a northward shift of the Inter Tropical Convergence Zone, tracking minimum insolation values at subtropical latitudes during the austral summer. The establishment of conditions similar to today happened ∼4 ka.&nbsp;</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jqs.2980","usgsCitation":"de Porras, M., Maldonado, A., De Pol-Holz, R., Latorre, C., and Betancourt, J.L., 2017, Late Quaternary environmental dynamics in the Atacama Desert reconstructed from rodent midden pollen records: Journal of Quaternary Science, v. 32, no. 6, p. 665-684, https://doi.org/10.1002/jqs.2980.","productDescription":"20 p.","startPage":"665","endPage":"684","ipdsId":"IP-087325","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":352938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Atacama Desert ","volume":"32","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-22","publicationStatus":"PW","scienceBaseUri":"5afee805e4b0da30c1bfc3e0","contributors":{"authors":[{"text":"de Porras, M.E.","contributorId":195882,"corporation":false,"usgs":false,"family":"de Porras","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":708574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maldonado, A.","contributorId":195883,"corporation":false,"usgs":false,"family":"Maldonado","given":"A.","email":"","affiliations":[],"preferred":false,"id":708575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Pol-Holz, R.","contributorId":195884,"corporation":false,"usgs":false,"family":"De Pol-Holz","given":"R.","email":"","affiliations":[],"preferred":false,"id":708576,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Latorre, C.","contributorId":195885,"corporation":false,"usgs":false,"family":"Latorre","given":"C.","affiliations":[],"preferred":false,"id":708577,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":708573,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70190432,"text":"70190432 - 2017 - Lessons from the Tōhoku tsunami: A model for island avifauna conservation prioritization","interactions":[],"lastModifiedDate":"2018-01-08T14:36:12","indexId":"70190432","displayToPublicDate":"2017-08-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Lessons from the Tōhoku tsunami: A model for island avifauna conservation prioritization","docAbstract":"<p><span>Earthquake-generated tsunamis threaten coastal areas and low-lying islands with sudden flooding. Although human hazards and infrastructure damage have been well documented for tsunamis in recent decades, the effects on wildlife communities rarely have been quantified. We describe a tsunami that hit the world's largest remaining tropical seabird rookery and estimate the effects of sudden flooding on 23 bird species nesting on Pacific islands more than 3,800&nbsp;km from the epicenter. We used global positioning systems, tide gauge data, and satellite imagery to quantify characteristics of the Tōhoku earthquake-generated tsunami (11 March 2011) and its inundation extent across four Hawaiian Islands. We estimated short-term effects of sudden flooding to bird communities using spatially explicit data from Midway Atoll and Laysan Island, Hawai'i. We describe variation in species vulnerability based on breeding phenology, nesting habitat, and life history traits. The tsunami inundated 21%–100% of each island's area at Midway Atoll and Laysan Island. Procellariformes (albatrosses and petrels) chick and egg losses exceeded 258,500 at Midway Atoll while albatross chick losses at Laysan Island exceeded 21,400. The tsunami struck at night and during the peak of nesting for 14 colonial seabird species. Strongly philopatric Procellariformes were vulnerable to the tsunami. Nonmigratory, endemic, endangered Laysan Teal (</span><i>Anas laysanensis</i><span>) were sensitive to ecosystem effects such as habitat changes and carcass-initiated epizootics of avian botulism, and its populations declined approximately 40% on both atolls post-tsunami. Catastrophic flooding of Pacific islands occurs periodically not only from tsunamis, but also from storm surge and rainfall; with sea-level rise, the frequency of sudden flooding events will likely increase. As invasive predators occupy habitat on higher elevation Hawaiian Islands and globally important avian populations are concentrated on low-lying islands, additional conservation strategies may be warranted to increase resilience of island biodiversity encountering tsunamis and rising sea levels.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3092","usgsCitation":"Reynolds, M.H., Berkowitz, P., Klavitter, J., and Courtot, K., 2017, Lessons from the Tōhoku tsunami: A model for island avifauna conservation prioritization: Ecology and Evolution, v. 7, no. 13, p. 5873-5890, https://doi.org/10.1002/ece3.3092.","productDescription":"18 p.","startPage":"5873","endPage":"5890","ipdsId":"IP-079977","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":469575,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3092","text":"Publisher Index Page"},{"id":438232,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F708647F","text":"USGS data release","linkHelpText":"Northwestern Hawaiian Islands: Impacts to Avifauna from the Tohoku Tsunami 2011"},{"id":345381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"13","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-22","publicationStatus":"PW","scienceBaseUri":"59a9203fe4b07e1a023ccd9c","contributors":{"authors":[{"text":"Reynolds, Michelle H. 0000-0001-7253-8158 mreynolds@usgs.gov","orcid":"https://orcid.org/0000-0001-7253-8158","contributorId":3871,"corporation":false,"usgs":true,"family":"Reynolds","given":"Michelle","email":"mreynolds@usgs.gov","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":709125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berkowitz, Paul","contributorId":192592,"corporation":false,"usgs":false,"family":"Berkowitz","given":"Paul","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":709126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klavitter, John","contributorId":196052,"corporation":false,"usgs":false,"family":"Klavitter","given":"John","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":709127,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Courtot, Karen 0000-0002-8849-4054 kcourtot@usgs.gov","orcid":"https://orcid.org/0000-0002-8849-4054","contributorId":140002,"corporation":false,"usgs":true,"family":"Courtot","given":"Karen","email":"kcourtot@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":709128,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70197038,"text":"70197038 - 2017 - Hydrologic regimes as potential drivers of morphologic divergence in fish","interactions":[],"lastModifiedDate":"2018-05-15T08:50:08","indexId":"70197038","displayToPublicDate":"2017-08-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1603,"text":"Evolutionary Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic regimes as potential drivers of morphologic divergence in fish","docAbstract":"<p><span>Fishes often exhibit phenotypic divergence across gradients of abiotic and biotic selective pressures. In streams, many of the known selective pressures driving phenotypic differentiation are largely influenced by hydrologic regimes. Because flow regimes drive so many attributes of lotic systems, we hypothesized fish exhibit phenotypic divergence among streams with different flow regimes. We used a comparative field study to investigate the morphological divergence of&nbsp;</span><i class=\"EmphasisTypeItalic \">Campostoma anomalom</i><span><span>&nbsp;</span>(central stonerollers) among streams characterized by highly variable, intermittent flow regimes and streams characterized by relatively stable, groundwater flow regimes. We also conducted a mesocosm experiment to compare the plastic effects of one component of flow regimes, water velocity, on morphology of fish from different flow regimes. We observed differences in shape between flow regimes likely driven by differences in allometric growth patterns. Although we observed differences in morphology across flow regimes in the field,<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">C. anomalum</i><span><span>&nbsp;</span>did not exhibit morphologic plasticity in response to water velocity alone. This study contributes to the understanding of how complex environmental factors drive phenotypic divergence and may provide insight into the evolutionary consequences of disrupting natural hydrologic patterns, which are increasingly threatened by climate change and anthropogenic alterations.</span></p>","language":"English","publisher":"Springer International","doi":"10.1007/s10682-017-9897-0","usgsCitation":"Bruckerhoff, L., and Magoulick, D.D., 2017, Hydrologic regimes as potential drivers of morphologic divergence in fish: Evolutionary Ecology, v. 31, no. 4, p. 517-531, https://doi.org/10.1007/s10682-017-9897-0.","productDescription":"14 p.","startPage":"517","endPage":"531","ipdsId":"IP-073023","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-28","publicationStatus":"PW","scienceBaseUri":"5afee805e4b0da30c1bfc3de","contributors":{"authors":[{"text":"Bruckerhoff, Lindsey","contributorId":204873,"corporation":false,"usgs":false,"family":"Bruckerhoff","given":"Lindsey","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":735327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":735326,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70190442,"text":"70190442 - 2017 - Extension of the analytical window for characterizing aromatic compounds in oils using a comprehensive suite of high-resolution mass spectrometry techniques and double bond equivalence versus carbon number plot","interactions":[],"lastModifiedDate":"2017-08-31T12:20:21","indexId":"70190442","displayToPublicDate":"2017-08-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1506,"text":"Energy & Fuels","active":true,"publicationSubtype":{"id":10}},"title":"Extension of the analytical window for characterizing aromatic compounds in oils using a comprehensive suite of high-resolution mass spectrometry techniques and double bond equivalence versus carbon number plot","docAbstract":"<p><span>In this study, comprehensive two-dimensional (2D) gas chromatography–mass spectrometry (GC–MS), atmospheric pressure photoionization (APPI) quadrupole-Orbitrap mass spectrometry (MS), and Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) were used to study the aromatic fractions of crude oil and oil shale pyrolysates (shale oils). The collected data were compared and combined in the double bond equivalence (DBE) versus carbon number plot to obtain a more complete understanding of the composition of the oil fractions. The numbers of peaks observed by each technique followed the order 2D GC–MS &lt; Orbitrap MS &lt; FT-ICR MS. The class distributions observed by Orbitrap MS and FT-ICR MS were similar to each other but different from that observed by 2D GC–MS. The DBE and carbon number distributions of the 2D GC–MS and Orbitrap MS data were similar for crude oil aromatics. The FT-ICR MS plots of DBE and carbon number showed an extended range of higher values relative to the other methods. For the aromatic fraction of an oil shale pyrolysate generated by the Fischer assay, only a few nitrogen-containing compounds were observed by 2D GC–MS but a large number of these compounds were detected by Orbitrap MS and FT-ICR MS. This comparison clearly shows that the data obtained from these three techniques can be combined to more completely characterize oil composition. The data obtained by Orbitrap MS and FT-ICR MS agreed well with one another, and the combined DBE versus carbon number plot provided more complete coverage of compounds present in the fractions. In addition, the chemical structure information provided by 2D GC–MS could be matched with the chemical formulas in the DBE versus carbon number plots, providing information not available in ultrahigh-resolution MS results. It was therefore concluded that the combination of 2D GC–MS, Orbitrap MS, and FT-ICR MS in the DBE versus carbon number space facilitates structural assignment of heavy oil components.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.energyfuels.7b00962","usgsCitation":"Cho, Y., Birdwell, J.E., Hur, M., Lee, J., Kim, B., and Kim, S., 2017, Extension of the analytical window for characterizing aromatic compounds in oils using a comprehensive suite of high-resolution mass spectrometry techniques and double bond equivalence versus carbon number plot: Energy & Fuels, v. 31, no. 8, p. 7874-7883, https://doi.org/10.1021/acs.energyfuels.7b00962.","productDescription":"10 p.","startPage":"7874","endPage":"7883","ipdsId":"IP-085425","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":345390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-20","publicationStatus":"PW","scienceBaseUri":"59a9203ee4b07e1a023ccd99","contributors":{"authors":[{"text":"Cho, Yunju","contributorId":127785,"corporation":false,"usgs":false,"family":"Cho","given":"Yunju","email":"","affiliations":[{"id":7153,"text":"Kyungpook National University, Department of Chemistry, Daegu, South Korea","active":true,"usgs":false}],"preferred":false,"id":709161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":709160,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hur, Manhoi","contributorId":177161,"corporation":false,"usgs":false,"family":"Hur","given":"Manhoi","email":"","affiliations":[],"preferred":false,"id":709164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, Joonhee","contributorId":196065,"corporation":false,"usgs":false,"family":"Lee","given":"Joonhee","email":"","affiliations":[],"preferred":false,"id":709165,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kim, Byungjoo","contributorId":196063,"corporation":false,"usgs":false,"family":"Kim","given":"Byungjoo","email":"","affiliations":[],"preferred":false,"id":709162,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kim, Sunghwan","contributorId":196064,"corporation":false,"usgs":false,"family":"Kim","given":"Sunghwan","email":"","affiliations":[],"preferred":false,"id":709163,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}