{"pageNumber":"309","pageRowStart":"7700","pageSize":"25","recordCount":40783,"records":[{"id":70215409,"text":"70215409 - 2019 - Relevance of wind stress and wave-dependent ocean surface roughness on the generation of winter meteotsunamis in Northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2020-10-19T18:01:53.210147","indexId":"70215409","displayToPublicDate":"2019-10-19T12:45:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5979,"text":"Ocean Modeling","active":true,"publicationSubtype":{"id":10}},"title":"Relevance of wind stress and wave-dependent ocean surface roughness on the generation of winter meteotsunamis in Northern Gulf of Mexico","docAbstract":"Meteotsunamis associated with passing squall lines are often observed ahead of cold fronts during winter seasons in Northern Gulf of Mexico. These types of meteotsunamis occur simultaneously with wind speed variations (~5-20 m/s) and sea-level atmospheric pressure oscillations (~1-6 hPa) with periods between 2 hours to several minutes. In order to enhance understanding of meteotsunami generation and propagation mechanisms, a Coupled-Ocean-Atmosphere-Wave-Sediment Transport (COAWST) modeling system is applied to one of the most intense winter meteotsunamis measured in Northern Gulf of Mexico in the last decade (2009-2018).  The model verification with sea level and atmospheric observations show that the fully-coupled model is able to reproduce the timing and intensity of the 10-m wind and sea level atmospheric pressure fluctuations. The mean bias between observed and measured wind speeds and atmospheric pressure are 1.73 m/s and 0.63 hPa respectively. The maximum meteotsunami elevation and its timing are successfully captured by modeled (with a 7% underestimation of the maximum elevation). The relative effect of atmospheric pressure and wind stress divergence on meteotsunami generation is assessed with different numerical simulations. Results indicate that both wind stress and atmospheric pressure oscillations contributed to the generation of the meteotsunami. Wind stress was the dominant force in shallow waters (<15 m in this application), while the effects of atmospheric pressure disturbances dominated over areas with Froude number close to one (~40 m in this application). During the passage of the squall line, the sea surface became rougher in a sea state characterized by young and steep local ocean waves. Compared to a purely wind-speed-dependent roughness scheme, the application of a wave-dependent roughness parameterization improved in 37% modeled meteotsunami maximum elevation.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ocemod.2019.101408","usgsCitation":"Shi, L., Olabarrieta, M., Valle-Levinson, A., and Warner, J., 2019, Relevance of wind stress and wave-dependent ocean surface roughness on the generation of winter meteotsunamis in Northern Gulf of Mexico: Ocean Modeling, v. 140, 101408,  15 p., https://doi.org/10.1016/j.ocemod.2019.101408.","productDescription":"101408,  15 p.","ipdsId":"IP-099874","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":459460,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ocemod.2019.101408","text":"Publisher Index Page"},{"id":379522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Northern Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.8671875,\n              27.352252938063845\n            ],\n            [\n              -82.353515625,\n              27.352252938063845\n            ],\n            [\n              -82.353515625,\n              30.92107637538488\n            ],\n            [\n              -93.8671875,\n              30.92107637538488\n            ],\n            [\n              -93.8671875,\n              27.352252938063845\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"140","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shi, Lijing","contributorId":192873,"corporation":false,"usgs":false,"family":"Shi","given":"Lijing","email":"","affiliations":[],"preferred":false,"id":802081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olabarrieta, Maitane 0000-0002-7619-7992 molabarrieta@usgs.gov","orcid":"https://orcid.org/0000-0002-7619-7992","contributorId":211373,"corporation":false,"usgs":false,"family":"Olabarrieta","given":"Maitane","email":"molabarrieta@usgs.gov","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":802082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Valle-Levinson, Arnoldo","contributorId":243337,"corporation":false,"usgs":false,"family":"Valle-Levinson","given":"Arnoldo","email":"","affiliations":[{"id":48691,"text":"Civil and Coastal Engineering Department, ESSIE, University of Florida 365 Weil Hall, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":802083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":802084,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70228681,"text":"70228681 - 2019 - Intense hurricane activity over the past 1500 years at South Andros Island, The Bahamas","interactions":[],"lastModifiedDate":"2022-02-22T12:48:41.942906","indexId":"70228681","displayToPublicDate":"2019-10-19T09:37:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5790,"text":"Paleoceanography and Paleoclimatology","active":true,"publicationSubtype":{"id":10}},"title":"Intense hurricane activity over the past 1500 years at South Andros Island, The Bahamas","docAbstract":"<p><span>Hurricanes cause substantial loss of life and resources in coastal areas. Unfortunately, historical hurricane records are too short and incomplete to capture hurricane-climate interactions on multi-decadal and longer timescales. Coarse-grained, hurricane-induced deposits preserved in blue holes in the Caribbean can provide records of past hurricane activity extending back thousands of years. Here we present a high resolution record of intense hurricane events over the past 1500 years from a blue hole on South Andros Island on the Great Bahama Bank. This record is corroborated by shorter reconstructions from cores collected at two nearby blue holes. The record contains coarse-grained event deposits attributable to known historical hurricane strikes within age uncertainties. Over the past 1500 years, South Andros shows evidence of four active periods of hurricane activity. None of these active intervals occurred in the past 163 years. We suggest that Intertropical Convergence Zone position modulates hurricane activity on the island based on a correlation with Cariaco Basin titanium concentrations. An anomalous gap in activity on South Andros Island in the early 13th century corresponds to a period of increased volcanism. The patterns of hurricane activity reconstructed from South Andros Island closely match those from the northeastern Gulf of Mexico but are anti-phased with records from New England. We suggest that either changes in local environmental conditions (e.g., SSTs) or a northeastward shift in storm tracks can account for the increased activity in the western North Atlantic when the Gulf of Mexico and southeastern Caribbean are less active.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019PA003665","usgsCitation":"Wallace, E., Donnelly, J.P., van Hengstum, P.J., Winman, C., Sullivan, R., Winkler, T., D'Entremont, N., Toomey, M., and Albury, N.A., 2019, Intense hurricane activity over the past 1500 years at South Andros Island, The Bahamas: Paleoceanography and Paleoclimatology, v. 34, no. 11, p. 1761-1783, https://doi.org/10.1029/2019PA003665.","productDescription":"23 p.","startPage":"1761","endPage":"1783","ipdsId":"IP-112040","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":459468,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019pa003665","text":"Publisher Index Page"},{"id":396016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"The Bahamas","otherGeospatial":"South Andros Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.81204223632812,\n              23.626281853879018\n            ],\n            [\n              -77.48313903808594,\n              23.626281853879018\n            ],\n            [\n              -77.48313903808594,\n              23.888976847350275\n            ],\n            [\n              -77.81204223632812,\n              23.888976847350275\n            ],\n            [\n              -77.81204223632812,\n              23.626281853879018\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","issue":"11","noUsgsAuthors":false,"publicationDate":"2019-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Wallace, Elizabeth","contributorId":245340,"corporation":false,"usgs":false,"family":"Wallace","given":"Elizabeth","affiliations":[{"id":49154,"text":"Woods Hole Oceanographic Institution, Woods Hole","active":true,"usgs":false}],"preferred":false,"id":835014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donnelly, Jeffrey P.","contributorId":192783,"corporation":false,"usgs":false,"family":"Donnelly","given":"Jeffrey","email":"","middleInitial":"P.","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":835015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Hengstum, Peter J.","contributorId":199536,"corporation":false,"usgs":false,"family":"van Hengstum","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":835016,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winman, Charlotte","contributorId":279501,"corporation":false,"usgs":false,"family":"Winman","given":"Charlotte","email":"","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":835017,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Richard","contributorId":211625,"corporation":false,"usgs":false,"family":"Sullivan","given":"Richard","email":"","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":835018,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Winkler, Tyler","contributorId":279503,"corporation":false,"usgs":false,"family":"Winkler","given":"Tyler","email":"","affiliations":[{"id":57261,"text":"Texas A&M, Galveston","active":true,"usgs":false}],"preferred":false,"id":835019,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"D'Entremont, Nicole","contributorId":279505,"corporation":false,"usgs":false,"family":"D'Entremont","given":"Nicole","affiliations":[{"id":16633,"text":"WHOI","active":true,"usgs":false}],"preferred":false,"id":835020,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Toomey, Michael 0000-0003-0167-9273 mtoomey@usgs.gov","orcid":"https://orcid.org/0000-0003-0167-9273","contributorId":184097,"corporation":false,"usgs":true,"family":"Toomey","given":"Michael","email":"mtoomey@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":835021,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Albury, Nancy A.","contributorId":192785,"corporation":false,"usgs":false,"family":"Albury","given":"Nancy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":835022,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70227713,"text":"70227713 - 2019 - Morphological identification of Bighead Carp, Silver Carp, and Grass Carp eggs using random forests machine learning classification","interactions":[],"lastModifiedDate":"2022-01-27T16:17:18.542828","indexId":"70227713","displayToPublicDate":"2019-10-18T10:08:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Morphological identification of Bighead Carp, Silver Carp, and Grass Carp eggs using random forests machine learning classification","docAbstract":"<p><span>Visual identification of fish eggs is difficult and unreliable due to a lack of information on the morphological egg characteristics of many species. We used random forests machine learning to predict the identity of genetically identified Bighead Carp&nbsp;</span><i>Hypophthalmichthys nobilis</i><span>, Grass Carp&nbsp;</span><i>Ctenopharyngodon idella</i><span>, and Silver Carp&nbsp;</span><i>H.&nbsp;molitrix</i><span>&nbsp;eggs based on egg morphometric and environmental characteristics. Family, genus, and species taxonomic-level random forests models were explored to assess the performance and accuracy of the predictor variables. The egg characteristics of Bighead Carp, Grass Carp, and Silver Carp were similar, and they were difficult to distinguish from one another. When combined into a single invasive carp class, the random forests models were&nbsp;≥&nbsp;97% accurate at identifying invasive carp eggs, with a ≤5% false positive rate. Egg membrane diameter was the most important predictive variable, but the addition of ten other variables resulted in a 98% success rate for identifying invasive carp eggs from 26 other upper Mississippi River basin species. Our results revealed that a combination of morphometric and environmental measurements can be used to identify invasive carp eggs. Similar machine learning approaches could be used to identify the eggs of other fishes. These results will help managers more easily and quickly assess invasive carp reproduction.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10380","usgsCitation":"Camacho, C., Sullivan, C., Weber, M., and Pierce, C., 2019, Morphological identification of Bighead Carp, Silver Carp, and Grass Carp eggs using random forests machine learning classification: North American Journal of Fisheries Management, v. 39, no. 6, p. 1373-1384, https://doi.org/10.1002/nafm.10380.","productDescription":"12 p.","startPage":"1373","endPage":"1384","ipdsId":"IP-080766","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":459471,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/327","text":"External Repository"},{"id":394976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","otherGeospatial":"Cedar River, Des Moines River, Iowa river, Mississippi River, Skunk River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.5,\n              40.32141999593439\n            ],\n            [\n              -90.120849609375,\n              40.32141999593439\n            ],\n            [\n              -90.120849609375,\n              42\n            ],\n            [\n              -93.5,\n              42\n            ],\n            [\n              -93.5,\n              40.32141999593439\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"39","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-10-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Camacho, Carlos A.","contributorId":272254,"corporation":false,"usgs":false,"family":"Camacho","given":"Carlos A.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":831867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, Christopher J.","contributorId":272255,"corporation":false,"usgs":false,"family":"Sullivan","given":"Christopher J.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":831868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weber, Michael J.","contributorId":272256,"corporation":false,"usgs":false,"family":"Weber","given":"Michael J.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":831869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":831866,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70207162,"text":"70207162 - 2019 - Characterizing range-wide population divergence in an alpine-endemic bird: A comparison of genetic and genomic approaches","interactions":[],"lastModifiedDate":"2019-12-12T06:27:12","indexId":"70207162","displayToPublicDate":"2019-10-17T15:31:27","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing range-wide population divergence in an alpine-endemic bird: A comparison of genetic and genomic approaches","docAbstract":"The delineation of intraspecific units that are evolutionarily and demographically distinct is an important step in the development of species-specific management plans. Neutral genetic variation has served as the primary data source for delineating “evolutionarily significant units,” but with recent advances in genomic technology, we now have an unprecedented ability to utilize information about neutral and adaptive variation across the entire genome. Here, we use traditional genetic markers (microsatellites) and a newer reduced-representation genomic approach (single nucleotide polymorphisms) to delineate distinct groups of white-tailed ptarmigan (Lagopus leucura), an alpine-obligate species that is distributed in naturally fragmented habitats from Alaska to New Mexico. Five subspecies of white-tailed ptarmigan are currently recognized but their distinctiveness has not been verified with molecular data. Based on analyses of 436 samples at 12 microsatellite loci and 95 samples at 14,866 single nucleotide polymorphism loci, we provide strong support for treating two subspecies as distinct intraspecific units—L. l. altipetens, found in Colorado and neighboring states; and L. l. saxatilis, found on British Columbia’s Vancouver Island—but our findings reveal more moderate patterns of divergence within the remainder of the species’ range. Results based on genetic and genomic datasets generally agreed with one another, indicating that in many cases microsatellite loci may be sufficient for describing major patterns of genetic structure across species’ ranges. This work will inform future conservation and management decisions for the white-tailed ptarmigan, a species that may be vulnerable to future changes in climate.","language":"English","publisher":"Springer","doi":"10.1007/s10592-018-1115-2","usgsCitation":"Langin, K., Aldridge, C.L., Fike, J., Cornman, R.S., Martin, K.M., Wann, G., Seglund, A.E., Schroeder, M.A., Benson, D.P., Fedy, B.C., Young, J.R., Wilson, S.D., Wolfe, D., Braun, C.E., and Oyler-McCance, S.J., 2019, Characterizing range-wide population divergence in an alpine-endemic bird: A comparison of genetic and genomic approaches: Conservation Genetics, v. 19, no. 6, p. 1471-1485, https://doi.org/10.1007/s10592-018-1115-2.","productDescription":"15 p.","startPage":"1471","endPage":"1485","ipdsId":"IP-089058","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":437301,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GM86GZ","text":"USGS data release","linkHelpText":"Sample collection information, single nucleotide polymorphism, and microsatellite data for white-tailed ptarmigan across the species range generated in the Molecular Ecology Lab during 2016"},{"id":370135,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.92578125,\n              45.1510532655634\n            ],\n            [\n              -124.45312499999999,\n              44.59046718130883\n            ],\n            [\n              -118.564453125,\n              42.74701217318067\n            ],\n            [\n              -115.400390625,\n              42.8115217450979\n            ],\n            [\n    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0000-0002-1799-1942 klangin@usgs.gov","orcid":"https://orcid.org/0000-0002-1799-1942","contributorId":221128,"corporation":false,"usgs":true,"family":"Langin","given":"Kathryn","email":"klangin@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":777069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":777070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fike, Jennifer A. 0000-0001-8797-7823","orcid":"https://orcid.org/0000-0001-8797-7823","contributorId":207268,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":777071,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":777072,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Kathy M","contributorId":221129,"corporation":false,"usgs":false,"family":"Martin","given":"Kathy","email":"","middleInitial":"M","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":777073,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wann, Greg T","contributorId":221130,"corporation":false,"usgs":false,"family":"Wann","given":"Greg T","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":777074,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Seglund, Amy E.","contributorId":218686,"corporation":false,"usgs":false,"family":"Seglund","given":"Amy","email":"","middleInitial":"E.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":777075,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schroeder, Michael A","contributorId":221131,"corporation":false,"usgs":false,"family":"Schroeder","given":"Michael","email":"","middleInitial":"A","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":777076,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Benson, David P","contributorId":221132,"corporation":false,"usgs":false,"family":"Benson","given":"David","email":"","middleInitial":"P","affiliations":[{"id":40330,"text":"Marian University","active":true,"usgs":false}],"preferred":false,"id":777077,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fedy, Brad C.","contributorId":140877,"corporation":false,"usgs":false,"family":"Fedy","given":"Brad","email":"","middleInitial":"C.","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":777078,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Young, Jessica R.","contributorId":200014,"corporation":false,"usgs":false,"family":"Young","given":"Jessica","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":777079,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wilson, Scott D.","contributorId":181519,"corporation":false,"usgs":false,"family":"Wilson","given":"Scott","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":777080,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wolfe, Don H","contributorId":221133,"corporation":false,"usgs":false,"family":"Wolfe","given":"Don H","affiliations":[{"id":40331,"text":"G. M. Sutton Avian Research Center","active":true,"usgs":false}],"preferred":false,"id":777081,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Braun, Clait E.","contributorId":200013,"corporation":false,"usgs":false,"family":"Braun","given":"Clait","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":777082,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":777068,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70216775,"text":"70216775 - 2019 - Climate-driven state shifts in the Prairie Pothole Region: Assessing future impacts relevant to the management of wetland habitats critical to waterfowl","interactions":[],"lastModifiedDate":"2022-03-07T17:53:15.186194","indexId":"70216775","displayToPublicDate":"2019-10-17T11:44:16","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":7504,"text":"Final Report","active":true,"publicationSubtype":{"id":1}},"title":"Climate-driven state shifts in the Prairie Pothole Region: Assessing future impacts relevant to the management of wetland habitats critical to waterfowl","docAbstract":"<p>Embedded within the North American Prairie Pothole Region (PPR) are millions of small, depressional wetlands that annually support 50–80% of the continent’s waterfowl production. We recently assembled evidence that demonstrates a change towards a wetter climate that is driving a shift in the state of the region’s wetland ecosystems. This ecological state-shift has been primarily the result of a sustained wet climate that has influenced timing and magnitude of surface-water inputs to wetlands, connections to groundwater, and inputs of dissolved salts. As climate influences continue to change in the PPR, it is important to understand the potential of these changes to impact wetland habitats important for waterfowl production. Previous model simulations of prairie-pothole wetlands under future climate scenarios projected decreases in the ability of wetlands to facilitate waterfowl production throughout the majority of what is currently the most productive portion of the region. Results from these modeling efforts also suggested that suitable waterfowl breeding-habitat would be limited mostly to the southeastern portion of the PPR, a portion of the region in which most depressional wetlands (&gt; 90%) have been drained. Thus, if these modeled outcomes materialize, a significant restoration effort would be needed in the southeastern PPR to support waterfowl production. However, the models used in earlier efforts were developed from a small number of wetlands using data from a relatively dry period and did not allow for changing mechanisms influencing surface-water, groundwater and dissolved salt inputs to prairie-pothole wetlands.</p><p>The primary objective of our research is to improve our understanding of future climate change on impacts to wetland ecosystems and breeding waterfowl habitat in the PPR. We used a newly developed Pothole Hydrology Linked Systems Simulator (PHyLiSS) model to estimate wetland ecosystem responses to 32 distinct climate models under 2 different emissions scenarios. Unlike previous wetland hydrology models, the PHyLiSS model allows for shifting hydrological and geochemical mechanisms influencing wetland ecosystems. We modeled one average-sized seasonal wetland basin at 18 different geographic locations (hereafter “sites”) across the PPR with 3 sites represented for each of 6 ecoregions coincident to early research. We applied the PHyLiSS model using historical daily precipitation and temperature data from 1982–2015 and developed linear models relative to ponded water depth in the simulated wetlands and the observed regional WBPHS May Pond count number for 16 of the 18 sites. Based on the output of 32 climate models and 2 emission scenarios we found a projected change in May pond numbers from -23% to +.02% when comparing the most recent climate period (1989–2018) to the end of the 21<sup>st</sup> century (2070–2099). We also found no evidence that the distribution of May ponds will shift in the future. These results suggest that management and conservation strategies for wetlands in the PPR should continue to focus on areas where high densities of intact wetland basins support large numbers of breeding duck pairs.</p>","language":"English","publisher":"Climate Adaptation Science Centers","usgsCitation":"Mushet, D.M., and McKenna, O.P., 2019, Climate-driven state shifts in the Prairie Pothole Region: Assessing future impacts relevant to the management of wetland habitats critical to waterfowl: Final Report, 15 p.","productDescription":"15 p.","ipdsId":"IP-117473","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":396800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":381010,"type":{"id":15,"text":"Index Page"},"url":"https://cascprojects.org/#/project/4f83509de4b0e84f60868124/5b33be6fe4b040769c172fad"}],"country":"Canada, United States","state":"Alberta, Iowa, 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Owen P. 0000-0002-5937-9436 omckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-5937-9436","contributorId":198598,"corporation":false,"usgs":true,"family":"McKenna","given":"Owen","email":"omckenna@usgs.gov","middleInitial":"P.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":806182,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70215004,"text":"70215004 - 2019 - Controls on eolian landscape evolution in fractured bedrock","interactions":[],"lastModifiedDate":"2020-10-06T15:52:57.416752","indexId":"70215004","displayToPublicDate":"2019-10-17T10:40:29","publicationYear":"2019","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":"Controls on eolian landscape evolution in fractured bedrock","docAbstract":"<p><span>Wind abrasion is important for planetary landscape evolution, and wind‐abraded bedrock landscapes contain many landforms that are difficult to interpret. Here we exploit a natural experiment in Chile where topographic shielding by an upwind lava flow yields diverse erosional landforms in a downwind ignimbrite. Using a 3‐D topographic wind model, we find that low velocities in the wake of a lava lobe coincide with a transition from landforms reflecting fracture‐parallel erosion to flow‐parallel erosion. Erosion rates across these landforms vary with shear velocity and abrasion susceptibility of the windward escarpment. We hypothesize that this morphologic threshold is controlled by whether particles can be lofted in suspension and overcome topographic steering imposed by fractured bedrock blocks. Within a phase space set by Rouse and Stokes numbers, our data illustrate that wind‐abraded landforms reflect a competition between the material skeleton of the landscape and the strength of the flow that shapes it.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GL083955","usgsCitation":"Perkins, J.P., Finnegan, N.J., de Silva, S.L., and Willis, M.J., 2019, Controls on eolian landscape evolution in fractured bedrock: Geophysical Research Letters, v. 46, no. 21, p. 12012-12020, https://doi.org/10.1029/2019GL083955.","productDescription":"9 p.","startPage":"12012","endPage":"12020","ipdsId":"IP-107187","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":459479,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2019gl083955","text":"External Repository"},{"id":379084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Antofogasta region, Central Andes Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.6640625,\n              -23.94609601499837\n            ],\n            [\n              -70.11474609375,\n              -23.94609601499837\n            ],\n            [\n              -70.11474609375,\n              -23.443088931121775\n            ],\n            [\n              -70.6640625,\n              -23.443088931121775\n            ],\n            [\n              -70.6640625,\n              -23.94609601499837\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"21","noUsgsAuthors":false,"publicationDate":"2019-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Perkins, Jonathan P. 0000-0002-6113-338X","orcid":"https://orcid.org/0000-0002-6113-338X","contributorId":237053,"corporation":false,"usgs":true,"family":"Perkins","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":800519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finnegan, Noah J.","contributorId":198803,"corporation":false,"usgs":false,"family":"Finnegan","given":"Noah","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":800520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"de Silva, Shanaka L. 0000-0002-0310-5516","orcid":"https://orcid.org/0000-0002-0310-5516","contributorId":242616,"corporation":false,"usgs":false,"family":"de Silva","given":"Shanaka","email":"","middleInitial":"L.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":800521,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Willis, Michael J. 0000-0003-1308-2888","orcid":"https://orcid.org/0000-0003-1308-2888","contributorId":242617,"corporation":false,"usgs":false,"family":"Willis","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":800522,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70206010,"text":"70206010 - 2019 - Variability in results from mineralogical and organic geochemical interlaboratory testing of U. S. Geological Survey shale reference materials","interactions":[],"lastModifiedDate":"2019-10-17T08:01:22","indexId":"70206010","displayToPublicDate":"2019-10-17T08:00:08","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Variability in results from mineralogical and organic geochemical interlaboratory testing of U. S. Geological Survey shale reference materials","docAbstract":"The expansion of unconventional petroleum resource exploration and production in the United States has led to an increase in source rock characterization efforts, particularly related to bulk organic and mineralogical properties. To support the analytical and research needs of industry and academia, as well as internal work, the U.S. Geological Survey (USGS) has collected and prepared shale geochemical reference materials (GRMs) from several major shale petroleum systems in the U.S. The sources of these materials are the Late Cretaceous Boquillas (lower Eagle Ford-equivalent) Formation (roadcut near Del Rio, TX), Late Cretaceous Mancos Shale (outcrop near Delta, CO), Devonian–Mississippian Woodford Shale (outcrop near Ardmore, OK), Late Cretaceous Niobrara Formation (quarry near Lyons, CO), Middle Devonian Marcellus Shale (creek bed in LeRoy, NY), and Eocene Mahogany zone oil shale of the Green River Formation (oil shale mine near Rifle, CO). Of particular interest in the development of these GRMs has been the examination of variability between laboratories and specific methods or instruments in commonly made measurements, including major- and trace-element concentrations, X-ray diffraction (XRD) mineralogy, total organic carbon (TOC) content, and programmed pyrolysis (PP) parameters. For the component concentrations and parameters we measured, the techniques and instrument types included: (1) elemental analysis by X-ray fluorescence, inductively coupled plasma mass spectrometry, and instrumental neutron activation analysis; (2) XRD mineralogy with various preparatory methods (spray drying or micronizing with or without internal standard); (3) TOC by combustion with infrared detection after carbonate removal or the PP approach; (4) PP by Rock-Eval 2 or more recently developed instruments (Rock-Eval 6, Source Rock Analyzer or SRA, and Hydrocarbon Analyzer With Kinetics or HAWK). Overall, the results showed that the selected shales cover a wide range of source rock organic and mineralogical properties. Major- and trace-element chemistry results showed low heterogeneity consistent with other USGS GRMs. Comparison of TOC results showed coefficients of variation (COV) of around 5% and the most consistent organic geochemical results between different laboratories and methods. Arguably the most relevant PP measurement, S2 or kerogen hydrocarbon-generating potential (mg-HC/g-rock), showed a somewhat wider range of variability than TOC (COV ~10%), but was consistent between the three modern instruments and the industry-standard Rock-Eval 2. Major phase mineralogy (mineral concentrations ≥10 wt. %, organic-free basis) were comparable between laboratories, but variability in minor phase identification and quantification was observed. Utilization of these shale GRMs as quality control samples and testing materials is expected to help support analytical and experimental efforts in the continued development of unconventional petroleum resources.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 7th Unconventional Resources Technology Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Unconventional Resources Technology Conference","conferenceDate":"July 22-24, 2019","conferenceLocation":"Denver, CO","language":"English","publisher":"American Association of Petroleum Geologists ","doi":"10.15530/urtec-2019-457","usgsCitation":"Birdwell, J.E., and Wilson, S., 2019, Variability in results from mineralogical and organic geochemical interlaboratory testing of U. S. Geological Survey shale reference materials, <i>in</i> Proceedings of the 7th Unconventional Resources Technology Conference, Denver, CO, July 22-24, 2019, 19 p., https://doi.org/10.15530/urtec-2019-457.","productDescription":"19 p.","ipdsId":"IP-107697","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":368362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Texas, Oklahoma 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,{"id":70206093,"text":"70206093 - 2019 - Evolutionary history predicts high-impact invasions by herbivorous insects","interactions":[],"lastModifiedDate":"2020-09-01T13:55:59.07044","indexId":"70206093","displayToPublicDate":"2019-10-17T07:39:29","publicationYear":"2019","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":"Evolutionary history predicts high-impact invasions by herbivorous insects","docAbstract":"A long‐standing goal of invasion biology is to identify factors driving highly variable impacts of non‐native species. Although hypotheses exist that emphasize the role of evolutionary history (e.g., enemy release hypothesis & defense‐free space hypothesis), predicting the impact of non‐native herbivorous insects has eluded scientists for over a century.\nUsing a census of all 58 non‐native conifer‐specialist insects in North America, we quantified the contribution of over 25 factors that could affect the impact they have on their novel hosts, including insect traits (fecundity, voltinism, native range, etc.), host traits (shade tolerance, growth rate, wood density, etc.), and evolutionary relationships (between native and novel hosts and insects).\nWe discovered that divergence times between native and novel hosts, the shade and drought tolerance of the novel host, and the presence of a coevolved congener on a shared host, were more predictive of impact than the traits of the invading insect. These factors built upon each other to strengthen our ability to predict the risk of a non‐native insect becoming invasive. This research is the first to empirically support historically assumed hypotheses about the importance of evolutionary history as a major driver of impact of non‐native herbivorous insects.\nOur novel, integrated model predicts whether a non‐native insect not yet present in North America will have a one in 6.5 to a one in 2,858 chance of causing widespread mortality of a conifer species if established (R2 = 0.91)\nSynthesis and applications. With this advancement, the risk to other conifer host species and regions can be assessed, and regulatory and pest management efforts can be more efficiently prioritized.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5709","usgsCitation":"Mech, A.M., Thomas, K.A., Marsico, T.D., Herms, D.A., Allen, C., Ayres, M.P., Gandhi, K., Gurevitch, J., Havill, N.P., Hufbauer, R.A., Liebhold, A.M., Raffa, K.F., Schulz, A.N., Uden, D.R., and Tobin, P.C., 2019, Evolutionary history predicts high-impact invasions by herbivorous insects: Ecology and Evolution, v. 9, no. 21, p. 12216-12230, https://doi.org/10.1002/ece3.5709.","productDescription":"15 p.","startPage":"12216","endPage":"12230","ipdsId":"IP-098825","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":459482,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5709","text":"Publisher Index Page"},{"id":437302,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CLFQMI","text":"USGS data release","linkHelpText":"Traits and Factors Catalog (TRAFAC): Conifer specialists of North America"},{"id":368476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"21","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Mech, Angela M.","contributorId":219892,"corporation":false,"usgs":false,"family":"Mech","given":"Angela","email":"","middleInitial":"M.","affiliations":[{"id":40087,"text":"School of Environmental and Forest Sciences, University of Washington, Seattle, WA. Corresponding email: ammech@wcu.edu. Present address: Department of Geosciences and Natural Resources, Western Carolina University, Cullowhee, NC","active":true,"usgs":false}],"preferred":false,"id":773543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Kathryn A. 0000-0002-7131-8564 kathryn_a_thomas@usgs.gov","orcid":"https://orcid.org/0000-0002-7131-8564","contributorId":167,"corporation":false,"usgs":true,"family":"Thomas","given":"Kathryn","email":"kathryn_a_thomas@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":773544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marsico, Travis D.","contributorId":219893,"corporation":false,"usgs":false,"family":"Marsico","given":"Travis","email":"","middleInitial":"D.","affiliations":[{"id":40088,"text":"Department of Biological Sciences, Arkansas State University, Jonesboro, AR","active":true,"usgs":false}],"preferred":false,"id":773545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herms, Daniel A.","contributorId":219895,"corporation":false,"usgs":false,"family":"Herms","given":"Daniel","email":"","middleInitial":"A.","affiliations":[{"id":40089,"text":"The Davey Tree Expert Company, Kent, OH","active":true,"usgs":false}],"preferred":false,"id":773547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Craig 0000-0001-8655-8227 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8227","contributorId":219896,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":773548,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ayres, Matthew P.","contributorId":219897,"corporation":false,"usgs":false,"family":"Ayres","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":35787,"text":"Department of Biological Sciences, Dartmouth College, Hanover, NH","active":true,"usgs":false}],"preferred":false,"id":773549,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gandhi, Kamal J.K.","contributorId":219898,"corporation":false,"usgs":false,"family":"Gandhi","given":"Kamal J.K.","affiliations":[{"id":40090,"text":"D.B. Warnell School of Forestry and Natural Resources, University of Georgia, Athens, GA","active":true,"usgs":false}],"preferred":false,"id":773550,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gurevitch, Jessica","contributorId":219899,"corporation":false,"usgs":false,"family":"Gurevitch","given":"Jessica","email":"","affiliations":[{"id":33447,"text":"Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY","active":true,"usgs":false}],"preferred":false,"id":773551,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Havill, Nathan P.","contributorId":219900,"corporation":false,"usgs":false,"family":"Havill","given":"Nathan","email":"","middleInitial":"P.","affiliations":[{"id":40091,"text":"Northern Research Station, USDA Forest Service, Hamden, CT","active":true,"usgs":false}],"preferred":false,"id":773552,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hufbauer, Ruth A.","contributorId":219901,"corporation":false,"usgs":false,"family":"Hufbauer","given":"Ruth","email":"","middleInitial":"A.","affiliations":[{"id":40092,"text":"Department of Bioagricultural Science and Pest Management, Colorado State University, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":773553,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Liebhold, Andrew M.","contributorId":219902,"corporation":false,"usgs":false,"family":"Liebhold","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":40093,"text":"USDA Forest Service Northern Research Station, Morgantown, WV","active":true,"usgs":false}],"preferred":false,"id":773554,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Raffa, Kenneth F.","contributorId":219903,"corporation":false,"usgs":false,"family":"Raffa","given":"Kenneth","email":"","middleInitial":"F.","affiliations":[{"id":40094,"text":"Department of Entomology, University of Wisconsin, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":773555,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Schulz, Ashley N.","contributorId":219894,"corporation":false,"usgs":false,"family":"Schulz","given":"Ashley","email":"","middleInitial":"N.","affiliations":[{"id":40088,"text":"Department of Biological Sciences, Arkansas State University, Jonesboro, AR","active":true,"usgs":false}],"preferred":false,"id":773546,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Uden, Daniel R.","contributorId":219904,"corporation":false,"usgs":false,"family":"Uden","given":"Daniel","email":"","middleInitial":"R.","affiliations":[{"id":40095,"text":"Nebraska Cooperative Fish and Wildlife Unit, School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE","active":true,"usgs":false}],"preferred":false,"id":773556,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Tobin, Patrick C.","contributorId":200172,"corporation":false,"usgs":false,"family":"Tobin","given":"Patrick","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":773557,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70206015,"text":"70206015 - 2019 - Competitive interactions among H, CU, and Zn ion moderate aqueous uptake of Cu and Zn by an aquatic insect","interactions":[],"lastModifiedDate":"2019-10-17T07:34:48","indexId":"70206015","displayToPublicDate":"2019-10-17T07:32:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Competitive interactions among H, CU, and Zn ion moderate aqueous uptake of Cu and Zn by an aquatic insect","docAbstract":"The absorption of aqueous copper (Cu) and zinc (Zn) by aquatic insects, a group widely used to assess water quality, is unresolved. This study examined interactions among Cu, Zn, and protons that potentially moderate Cu and Zn uptake by the acid-tolerant stonefly Zapada sp. Saturation uptake kinetics was imposed to identify competitive mechanisms. Decreasing pH reduced the maximum transport capacity, Jmax, in both metals, had little effect on the Cu dissociation constant, KD, and increased the Zn KD. Partial noncompetitive (Cu) and partial mixed competitive (Zn) inhibitor models most closely tracked the observed Cu and Zn influx across pH treatments. The estimated values for acid dissociation constants for the binary (proton-receptor) and ternary (proton-metal-receptor) complexes indicated the strong inhibitory effect of protons on Cu and Zn. In neutral pH water, Cu inhibited Zn uptake, but Zn had little effect on Cu uptake. The mechanism of Cu-Zn interaction was not identified. Results from separate Zn experiments suggested that the insect’s developmental stage may affect the apparent Jmax. The study underscores some of the challenges of modeling metal bioaccumulation and informs future research directions.","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2019.113220","usgsCitation":"Cain, D.J., Croteau, M.N., and Fuller, C.C., 2019, Competitive interactions among H, CU, and Zn ion moderate aqueous uptake of Cu and Zn by an aquatic insect: Environmental Pollution, v. 255, no. Part 1, 113220, https://doi.org/10.1016/j.envpol.2019.113220.","productDescription":"113220","ipdsId":"IP-111255","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":368359,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"255","issue":"Part 1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cain, Daniel J. 0000-0002-3443-0493 djcain@usgs.gov","orcid":"https://orcid.org/0000-0002-3443-0493","contributorId":1784,"corporation":false,"usgs":true,"family":"Cain","given":"Daniel","email":"djcain@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":773298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":773299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":773300,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70206951,"text":"70206951 - 2019 - Mechanics of inflationary deformation during Caldera collapse: Evidence from the 2018 Kīlauea Eruption","interactions":[],"lastModifiedDate":"2019-12-02T07:06:50","indexId":"70206951","displayToPublicDate":"2019-10-17T07:06:08","publicationYear":"2019","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":"Mechanics of inflationary deformation during Caldera collapse: Evidence from the 2018 Kīlauea Eruption","docAbstract":"During the 2018 Kilauea eruption the caldera ffloor dropped 500 meters in 62 nearly periodic events of up to 8 meters. Caldera collapse maintains pressure in the magma reservoir necessary to sustain high-rate eruptions. The 2018 collapses were accompanied by inflationary tilts and displacements, similar to observations at other basaltic calderas. Collapse is modeled in 2D by uniform slip dislocations intersecting a magma chamber. Collapses occurred rapidly, such that mass within the chamber was constant. For vertical faults surface deformation outside the collapse results only from chamber pressurization with displacements anti-parallel to pre-collapse deflation, similar to observations. For inward dipping faults the predicted ratio of horizontal to vertical displacements during collapse is greater than for the pre-collapse deflation, as observed. For outward dipping faults the horizontal displacements are inward, contrary to data. The average deformation trends during the eruption depend on fault dip and whether stress required to trigger collapses was constant or changed with time.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GL084689","usgsCitation":"Paul Segall, Anderson, K.R., Johanson, I.A., and Miklius, A., 2019, Mechanics of inflationary deformation during Caldera collapse: Evidence from the 2018 Kīlauea Eruption: Geophysical Research Letters, v. 46, no. 21, p. 11782-11789, https://doi.org/10.1029/2019GL084689.","productDescription":"8 p.","startPage":"11782","endPage":"11789","ipdsId":"IP-110422","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":369784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.38238525390625,\n              19.137384001472565\n            ],\n            [\n              -155.07476806640625,\n              19.137384001472565\n            ],\n            [\n              -155.07476806640625,\n              19.414792438099557\n            ],\n            [\n              -155.38238525390625,\n              19.414792438099557\n            ],\n            [\n              -155.38238525390625,\n              19.137384001472565\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"21","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Paul Segall","contributorId":200979,"corporation":false,"usgs":false,"family":"Paul Segall","affiliations":[],"preferred":false,"id":776355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Kyle R. 0000-0001-8041-3996 kranderson@usgs.gov","orcid":"https://orcid.org/0000-0001-8041-3996","contributorId":3522,"corporation":false,"usgs":true,"family":"Anderson","given":"Kyle","email":"kranderson@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":776354,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johanson, Ingrid A. 0000-0002-6049-2225","orcid":"https://orcid.org/0000-0002-6049-2225","contributorId":215613,"corporation":false,"usgs":true,"family":"Johanson","given":"Ingrid","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":776356,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miklius, Asta 0000-0002-2286-1886","orcid":"https://orcid.org/0000-0002-2286-1886","contributorId":215615,"corporation":false,"usgs":true,"family":"Miklius","given":"Asta","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":776357,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70227813,"text":"70227813 - 2019 - Evaluating the effects of barriers on Slimy Sculpin movement and population connectivity using novel sibship-based and traditional genetic metrics","interactions":[],"lastModifiedDate":"2022-02-01T20:24:48.776105","indexId":"70227813","displayToPublicDate":"2019-10-16T15:24:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the effects of barriers on Slimy Sculpin movement and population connectivity using novel sibship-based and traditional genetic metrics","docAbstract":"<p>Population genetics-based approaches can provide robust and cost-effective ways to assess the effects of potential barriers, including dams and road-stream crossings, on the passage and population connectivity of aquatic organisms. Determining the best way to apply and modify genetic tools for different species and situations is essential for making these genetics-based approaches broadly applicable to fisheries and aquatic habitat management. Here, we used multiple genetic approaches to assess the movement and population structure of Slimy Sculpin Cottus cognatus at two road-stream crossings in Michigan and one dam in Massachusetts, USA. We captured and genotyped individual sculpin and assessed movement and population connectivity by using (1) a sibship-based approach, where the presence and proportional distribution of siblings on either side of a barrier indicates population connectivity and the possible direction of movement (i.e., presumed movement from higher to lower proportions), and (2) two Bayesian genetic assignment approaches (STRUCTURE and BayesAss) to identify migrants across potential barriers based on individual population assignment probabilities. We also used traditional genetic metrics to assess within-population genetic variation and among-population genetic divergence. At all three locations, we found evidence for sculpin movement across the potential barrier based on sibship reconstruction, but small family sizes limited the ability of this approach to provide robust estimates of the rate and direction of movement. At two sites, a lack of genetic differentiation between above- and below-barrier populations limited the effectiveness of the genetic assignment methods for identifying possible migrants. At the third site, reduced upstream allelic diversity and effective number of breeders resulted in high genetic differentiation (FST) between above- and below-barrier populations, and both sibship and genetic assignment methods provided strong evidence of limited connectivity and bias against upstream movement. Overall, combining approaches and metrics may help overcome the limitations of any one method and maximize the value of datasets for genetics-based monitoring and assessment.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10202","usgsCitation":"Weinstein, S.Y., Coombs, J.A., Nislow, K., Riley, C., Roy, A.H., and Whiteley, A., 2019, Evaluating the effects of barriers on Slimy Sculpin movement and population connectivity using novel sibship-based and traditional genetic metrics: Transactions of the American Fisheries Society, v. 148, no. 6, p. 1117-1131, https://doi.org/10.1002/tafs.10202.","productDescription":"15 p.","startPage":"1117","endPage":"1131","ipdsId":"IP-098904","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":459494,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10202","text":"Publisher Index Page"},{"id":395240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts, Michigan","otherGeospatial":"Arquilla Creek, Fall River, Peterson Creek","volume":"148","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Weinstein, Spencer Y.","contributorId":272869,"corporation":false,"usgs":false,"family":"Weinstein","given":"Spencer","email":"","middleInitial":"Y.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":832352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coombs, Jason A.","contributorId":270745,"corporation":false,"usgs":false,"family":"Coombs","given":"Jason","email":"","middleInitial":"A.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":832353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nislow, Keith H.","contributorId":60106,"corporation":false,"usgs":true,"family":"Nislow","given":"Keith H.","affiliations":[],"preferred":false,"id":832354,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Riley, Chris","contributorId":272875,"corporation":false,"usgs":false,"family":"Riley","given":"Chris","email":"","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":832355,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832351,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whiteley, Andrew R.","contributorId":272876,"corporation":false,"usgs":false,"family":"Whiteley","given":"Andrew R.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":832356,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70206593,"text":"70206593 - 2019 - Projected urban growth in the Southeastern USA puts small streams at risk","interactions":[],"lastModifiedDate":"2019-11-12T09:46:13","indexId":"70206593","displayToPublicDate":"2019-10-16T09:42:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Projected urban growth in the Southeastern USA puts small streams at risk","docAbstract":"Future land-use development has the potential to profoundly affect the health of aquatic ecosystems in the coming decades.  We developed regression models predicting the loss of sensitive fish (R2=0.39) and macroinvertebrate (R2=0.64) taxa as a function of urban and agricultural land uses and applied them to projected urbanization of the rapidly urbanizing Piedmont ecoregion of the southeastern USA for 2030 and 2060.  The regression models are based on a 2014 investigation of water quality and ecology of 75 wadeable streams across the region.  Based on these projections, stream kilometers experiencing >50% loss of sensitive fish and invertebrate taxa will nearly quadruple to 19,500 and 38,950 km by 2060 (16 and 32% of small stream kilometers in the region), respectively. Uncertainty was assessed using the 20 and 80% probability of urbanization for the land-use projection model and using the 95% confidence intervals for the regression models. Adverse effects on stream health were linked to elevated concentrations of contaminants and nutrients, low dissolved oxygen, and streamflow alteration, all associated with urbanization. The results of this analysis provide a warning of potential risks from future urbanization and perhaps some guidance on how those risks might be mitigated.","language":"English","publisher":"PLoS One","doi":"10.1371/journal.pone.0222714","usgsCitation":"Van Metre, P.C., Waite, I.R., Qi, S.L., Mahler, B., Terando, A., Wieczorek, M., Meador, M.R., Bradley, P., Journey, C.A., Schmidt, T., and Carlisle, D.M., 2019, Projected urban growth in the Southeastern USA puts small streams at risk: PLoS ONE, v. 10, no. 14, e0222714, 17 p., https://doi.org/10.1371/journal.pone.0222714.","productDescription":"e0222714, 17 p.","ipdsId":"IP-101834","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":459503,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0222714","text":"Publisher Index Page"},{"id":369125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.1240234375,\n              39.13006024213511\n            ],\n            [\n              -86.28662109375,\n              33.65120829920497\n            ],\n            [\n              -85.4296875,\n              32.91648534731439\n            ],\n            [\n              -78.15673828125,\n              35.746512259918504\n            ],\n            [\n              -76.9482421875,\n              38.35888785866677\n            ],\n            [\n              -76.83837890625,\n              38.95940879245423\n            ],\n            [\n              -77.1240234375,\n              39.13006024213511\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"14","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Metre, Peter C. 0000-0001-7564-9814","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":211144,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Qi, Sharon L. 0000-0001-7278-4498 slqi@usgs.gov","orcid":"https://orcid.org/0000-0001-7278-4498","contributorId":1130,"corporation":false,"usgs":true,"family":"Qi","given":"Sharon","email":"slqi@usgs.gov","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":775074,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Terando, Adam 0000-0002-9280-043X aterando@usgs.gov","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":220505,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","email":"aterando@usgs.gov","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":775075,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wieczorek, Michael","contributorId":220506,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775076,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meador, Michael R. 0000-0001-5956-3340 mrmeador@usgs.gov","orcid":"https://orcid.org/0000-0001-5956-3340","contributorId":195592,"corporation":false,"usgs":true,"family":"Meador","given":"Michael","email":"mrmeador@usgs.gov","middleInitial":"R.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":775077,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bradley, Paul M. 0000-0001-7522-8606","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":205668,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775078,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":189681,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775079,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":775080,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":775081,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70212527,"text":"70212527 - 2019 - The effect of brine on the electrical properties of methane hydrate","interactions":[],"lastModifiedDate":"2021-10-05T19:40:34.37821","indexId":"70212527","displayToPublicDate":"2019-10-16T08:53:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"The effect of brine on the electrical properties of methane hydrate","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Gas hydrates possess lower electrical conductivity (inverse of resistivity) than either seawater or ice, but higher than clastic silts and sands, such that electromagnetic methods can be employed to help identify their natural formation in marine and permafrost environments. Controlled laboratory studies offer a means to isolate and quantify the effects of changing individual components within gas‐hydrate‐bearing systems, in turn yielding insight into the behavior of natural systems. Here we investigate the electrical properties of polycrystalline methane hydrate with ≥25% gas‐filled porosity and in mixture with brine. Initially, pure methane hydrate was synthesized from H<sub>2</sub>O ice and CH<sub>4</sub><span>&nbsp;</span>gas while undergoing electrical impedance measurement, then partially dissociated to assess the effects of pure pore water accumulation on electrical conductivity. Methane hydrate + brine mixtures were then formed by either adding NaCl (0.25–2.5 wt %) to high‐purity ice or by using frozen seawater as a reactant. Conductivity was obtained from impedance measurements made in situ throughout synthesis while temperature cycled between +15 °C and −25 °C. Several possible conduction mechanisms were subsequently determined using equivalent circuit modeling. Samples with low NaCl concentration show a doping/impurity effect and a log linear conductivity response as a function of temperature. For higher salt content samples, conductivity increases exponentially with temperature and the log linear relationship no longer holds; instead, we observe phase changes within the samples that follow NaCl–H<sub>2</sub>O–CH<sub>4</sub><span>&nbsp;</span>phase equilibrium predictions. Final samples were quenched in liquid nitrogen and imaged by cryogenic scanning electron microscopy (cryo‐SEM) to assess grain‐scale characteristics.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1029/2019JB018364","usgsCitation":"Lu, R., Stern, L.A., Du Frane, W.L., Pinkston, J.C., Roberts, J.M., and Constable, S., 2019, The effect of brine on the electrical properties of methane hydrate: Journal of Geophysical Research, v. 124, no. 11, p. 10877-10892, https://doi.org/10.1029/2019JB018364.","productDescription":"16 p.","startPage":"10877","endPage":"10892","ipdsId":"IP-107632","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":459504,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019jb018364","text":"Publisher Index Page"},{"id":377645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"11","noUsgsAuthors":false,"publicationDate":"2019-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Lu, Ryan","contributorId":238835,"corporation":false,"usgs":false,"family":"Lu","given":"Ryan","email":"","affiliations":[{"id":13621,"text":"Lawrence Livermore National Laboratory","active":true,"usgs":false}],"preferred":false,"id":796700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stern, Laura A. 0000-0003-3440-5674","orcid":"https://orcid.org/0000-0003-3440-5674","contributorId":212238,"corporation":false,"usgs":true,"family":"Stern","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":796701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Du Frane, Wyatt L.","contributorId":23067,"corporation":false,"usgs":false,"family":"Du Frane","given":"Wyatt","email":"","middleInitial":"L.","affiliations":[{"id":13621,"text":"Lawrence Livermore National Laboratory","active":true,"usgs":false}],"preferred":false,"id":796702,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pinkston, John C. 0000-0002-6232-4217","orcid":"https://orcid.org/0000-0002-6232-4217","contributorId":238840,"corporation":false,"usgs":true,"family":"Pinkston","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":796703,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roberts, J. Murray","contributorId":190565,"corporation":false,"usgs":false,"family":"Roberts","given":"J.","email":"","middleInitial":"Murray","affiliations":[],"preferred":false,"id":796704,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Constable, S.","contributorId":238841,"corporation":false,"usgs":false,"family":"Constable","given":"S.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":796705,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70210694,"text":"70210694 - 2019 - Detrital zircon geochronology along a structural transect across the Kahiltna assemblage in the western Alaska Range: Implications for emplacement of the Alexander-Wrangellia-Peninsular terrane against North America","interactions":[],"lastModifiedDate":"2023-11-03T16:04:37.674369","indexId":"70210694","displayToPublicDate":"2019-10-16T08:22:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Detrital zircon geochronology along a structural transect across the Kahiltna assemblage in the western Alaska Range: Implications for emplacement of the Alexander-Wrangellia-Peninsular terrane against North America","docAbstract":"The Kahiltna assemblage in the western Alaska Range consists of deformed Upper Jurassic and Cretaceous clastic strata that lie between the Alexander-Wrangellia-Peninsular (AWP) terrane to the south, and the Farewell and other peri-cratonic terranes to the north. Differences in detrital zircon populations and sandstone petrography allow geographic separation of the strata into two different successions, each consisting of multiple units, or petrofacies, with distinct provenance and lithologic characteristics. The northwestern succession was largely derived from older, inboard peri-cratonic terranes and correlates along strike to the southwest with the Kuskokwim Group. The southeastern succession is characterized by volcanic and plutonic rock detritus derived from Late Jurassic igneous rocks of the AWP terrane and mid to Late Cretaceous arc related igneous rocks and is part of a longer belt to the southwest and northeast, here named the Koksetna-Clearwater belt. The two successions remained separate depositional systems until the Late Cretaceous, when the northwestern succession overlapped the southeastern succession at about 81 Ma and they were deformed together by about 80 Ma by southeast-verging fold-and-thrust style deformation interpreted to represent final accretion of the AWP terrane along the southern Alaska margin. We interpret the tectonic evolution of the Kahiltna successions as a progression from forearc sedimentation and accretion in a south-facing continental magmatic arc to arrival and partial underthrusting of the backarc flank of an active, south-facing island arc system (AWP terrane). A modern analogue is the ongoing collision and partial underthrusting of the Izu-Bonin-Marianas island arc beneath the Japan Trench-Nankai Trough on the east side of central Japan.","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02060.1","usgsCitation":"Box, S.E., Karl, S.M., Jones, J.V., Bradley, D., Haeussler, P., and O’Sullivan, P.B., 2019, Detrital zircon geochronology along a structural transect across the Kahiltna assemblage in the western Alaska Range: Implications for emplacement of the Alexander-Wrangellia-Peninsular terrane against North America: Geosphere, v. 15, no. 6, p. 1774-1808, https://doi.org/10.1130/GES02060.1.","productDescription":"35 p.","startPage":"1774","endPage":"1808","ipdsId":"IP-101587","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":459508,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02060.1","text":"Publisher Index Page"},{"id":437306,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JV5LM9","text":"USGS data release","linkHelpText":"U-Pb Isotopic Data and Ages of Titanite and Detrital Zircon from Selected Rocks from the Western Alaska Range, Alaska"},{"id":375663,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"western Alaska Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -154,\n              61\n            ],\n            [\n              -150,\n              61\n            ],\n            [\n              -150,\n              62.5\n            ],\n            [\n              -154,\n              62.5\n            ],\n            [\n              -154,\n              61\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Box, Stephen E. 0000-0002-5268-8375 sbox@usgs.gov","orcid":"https://orcid.org/0000-0002-5268-8375","contributorId":1843,"corporation":false,"usgs":true,"family":"Box","given":"Stephen","email":"sbox@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":790993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karl, Susan M. 0000-0003-1559-7826 skarl@usgs.gov","orcid":"https://orcid.org/0000-0003-1559-7826","contributorId":502,"corporation":false,"usgs":true,"family":"Karl","given":"Susan","email":"skarl@usgs.gov","middleInitial":"M.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":790994,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, James V. III 0000-0002-6602-5935 jvjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6602-5935","contributorId":201245,"corporation":false,"usgs":true,"family":"Jones","given":"James","suffix":"III","email":"jvjones@usgs.gov","middleInitial":"V.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":790995,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradley, Dwight 0000-0001-9116-5289 bradleyorchard2@gmail.com","orcid":"https://orcid.org/0000-0001-9116-5289","contributorId":2358,"corporation":false,"usgs":true,"family":"Bradley","given":"Dwight","email":"bradleyorchard2@gmail.com","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":790996,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":790997,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Sullivan, Paul B.","contributorId":193544,"corporation":false,"usgs":false,"family":"O’Sullivan","given":"Paul","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":790998,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70227127,"text":"70227127 - 2019 - A mechanistic understanding of ecological responses to land-use change in headwater streams","interactions":[],"lastModifiedDate":"2021-12-30T14:08:03.519866","indexId":"70227127","displayToPublicDate":"2019-10-16T08:06:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"A mechanistic understanding of ecological responses to land-use change in headwater streams","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Anthropogenic activities, such as oil and natural gas development (ONGD), have significantly altered the landscape. It is often challenging to identify the mechanistic processes underlying ecological responses to land-use change (LUC). In aquatic ecosystems, alterations to habitat and food availability and water quality associated with increased LUC are key mechanistic pathways that deserve management consideration. We used structural equation&nbsp;modeling to evaluate how LUC associated with ONGD could influence macroinvertebrate and fish across 40 sites in six headwater streams in the Wyoming Range of the Upper Green River Basin, Wyoming. The most important mechanistic pathway varied, but responses were frequently driven by a direct effect of LUC or related to changes in food availability and water quality. Habitat complexity was the least important mechanistic pathway in our models. Our results also highlight that responses may reflect an organism's degree of habitat or resource specialization and/or sensitivity to changes in water quality. Habitat pathways were more important for habitat specialists (e.g., Mottled Sculpin,<span>&nbsp;</span><i>Cottus bairdii</i>), food pathways were more important for food specialists (e.g., Colorado River Cutthroat Trout,<span>&nbsp;</span><i>Oncorhynchus clarki pleuriticus</i>; Mountain Sucker,<span>&nbsp;</span><i>Catostomus platyrhynchus</i>), and sensitivity to increased salinity was important for intolerant species (e.g.,<span>&nbsp;</span><i>O.&nbsp;clarki</i>,<i><span>&nbsp;</span>C.&nbsp;bairdii</i>, and predatory macroinvertebrates). Continued identification of the specific mechanisms underlying species’ responses to increased LUC will aid in the conservation of ecologically and economically important species.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2907","usgsCitation":"Walker, R., and Walters, A.W., 2019, A mechanistic understanding of ecological responses to land-use change in headwater streams: Ecosphere, v. 10, no. 10, e02907, 19 p., https://doi.org/10.1002/ecs2.2907.","productDescription":"e02907, 19 p.","ipdsId":"IP-107227","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":459510,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2907","text":"Publisher Index Page"},{"id":393645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-110.048476,40.997555],[-110.121639,40.997101],[-110.125709,40.99655],[-110.237848,40.995427],[-110.250709,40.996089],[-110.375714,40.994947],[-110.500718,40.994746],[-110.539819,40.996346],[-110.715026,40.996347],[-110.750727,40.996847],[-111.046723,40.997959],[-111.046551,41.251716],[-111.0466,41.360692],[-111.046264,41.377731],[-111.045789,41.565571],[-111.045818,41.579845],[-111.046689,42.001567],[-111.047109,42.142497],[-111.047107,42.148971],[-111.047058,42.182672],[-111.047097,42.194773],[-111.047074,42.280787],[-111.04708,42.34942],[-111.046801,42.504946],[-111.046719,42.513118],[-111.046017,42.582723],[-111.043564,42.722624],[-111.044135,42.874924],[-111.043959,42.96445],[-111.043957,42.969482],[-111.043924,42.975063],[-111.044129,43.018702],[-111.044156,43.020052],[-111.044206,43.022614],[-111.044034,43.024581],[-111.044034,43.024844],[-111.044033,43.026411],[-111.044094,43.02927],[-111.043997,43.041415],[-111.044058,43.04464],[-111.044063,43.046302],[-111.044086,43.054819],[-111.044117,43.060309],[-111.04415,43.066172],[-111.044162,43.068222],[-111.044143,43.072364],[-111.044235,43.177121],[-111.044266,43.177236],[-111.044232,43.18444],[-111.044168,43.189244],[-111.044229,43.195579],[-111.044617,43.31572],[-111.045205,43.501136],[-111.045706,43.659112],[-111.04588,43.681033],[-111.046118,43.684902],[-111.046051,43.685812],[-111.04611,43.687848],[-111.046421,43.722059],[-111.046435,43.726545],[-111.04634,43.726957],[-111.046715,43.815832],[-111.046515,43.908376],[-111.046917,43.974978],[-111.047064,43.983467],[-111.047349,43.999921],[-111.049077,44.020072],[-111.048751,44.060403],[-111.048751,44.060838],[-111.048633,44.062903],[-111.048452,44.114831],[-111.049119,44.124923],[-111.049695,44.353626],[-111.049148,44.374925],[-111.049216,44.435811],[-111.049194,44.438058],[-111.048974,44.474072],[-111.055208,44.624927],[-111.055333,44.666263],[-111.055511,44.725343],[-111.056416,44.749928],[-111.056888,44.866658],[-111.055629,44.933578],[-111.056207,44.935901],[-111.055199,45.001321],[-111.044275,45.001345],[-110.785008,45.002952],[-110.761554,44.999934],[-110.750767,44.997948],[-110.705272,44.992324],[-110.552433,44.992237],[-110.547165,44.992459],[-110.48807,44.992361],[-110.402927,44.99381],[-110.362698,45.000593],[-110.342131,44.999053],[-110.324441,44.999156],[-110.28677,44.99685],[-110.199503,44.996188],[-110.110103,45.003905],[-110.026347,45.003665],[-110.025544,45.003602],[-109.99505,45.003174],[-109.875735,45.003275],[-109.798687,45.002188],[-109.75073,45.001605],[-109.663673,45.002536],[-109.574321,45.002631],[-109.386432,45.004887],[-109.375713,45.00461],[-109.269294,45.005283],[-109.263431,45.005345],[-109.103445,45.005904],[-109.08301,44.99961],[-109.062262,44.999623],[-108.621313,45.000408],[-108.578484,45.000484],[-108.565921,45.000578],[-108.500679,44.999691],[-108.271201,45.000251],[-108.249345,44.999458],[-108.238139,45.000206],[-108.218479,45.000541],[-108.14939,45.001062],[-108.000663,45.001223],[-107.997353,45.001565],[-107.911743,45.001292],[-107.750654,45.000778],[-107.608854,45.00086],[-107.607824,45.000929],[-107.49205,45.00148],[-107.351441,45.001407],[-107.13418,45.000109],[-107.125633,44.999388],[-107.105685,44.998734],[-107.084939,44.996599],[-107.074996,44.997004],[-107.050801,44.996424],[-106.892875,44.995947],[-106.888773,44.995885],[-106.263586,44.993788],[-106.024814,44.993688],[-105.928184,44.993647],[-105.914258,44.999986],[-105.913382,45.000941],[-105.848065,45.000396],[-105.076607,45.000347],[-105.038405,45.000345],[-105.025266,45.00029],[-105.019284,45.000329],[-105.01824,45.000437],[-104.765063,44.999183],[-104.759855,44.999066],[-104.72637,44.999518],[-104.665171,44.998618],[-104.663882,44.998869],[-104.470422,44.998453],[-104.470117,44.998453],[-104.250145,44.99822],[-104.057698,44.997431],[-104.055914,44.874986],[-104.056496,44.867034],[-104.055963,44.768236],[-104.055963,44.767962],[-104.055934,44.72372],[-104.05587,44.723422],[-104.055777,44.700466],[-104.055938,44.693881],[-104.05581,44.691343],[-104.055877,44.571016],[-104.055892,44.543341],[-104.055927,44.51773],[-104.055389,44.249983],[-104.054487,44.180381],[-104.054562,44.141081],[-104.05495,43.93809],[-104.055077,43.936535],[-104.055488,43.853477],[-104.055488,43.853476],[-104.055138,43.750421],[-104.055133,43.747105],[-104.054902,43.583852],[-104.054885,43.583512],[-104.05484,43.579368],[-104.055032,43.558603],[-104.054787,43.503328],[-104.054786,43.503072],[-104.054779,43.477815],[-104.054766,43.428914],[-104.054614,43.390949],[-104.054403,43.325914],[-104.054218,43.30437],[-104.053884,43.297047],[-104.053876,43.289801],[-104.053127,43.000585],[-104.052863,42.754569],[-104.052809,42.749966],[-104.052583,42.650062],[-104.052741,42.633982],[-104.052586,42.630917],[-104.052773,42.611766],[-104.052775,42.61159],[-104.052775,42.610813],[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 \"}}]}","volume":"10","issue":"10","noUsgsAuthors":false,"publicationDate":"2019-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Walker, Richard H.","contributorId":270683,"corporation":false,"usgs":false,"family":"Walker","given":"Richard H.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":829745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":829744,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70205944,"text":"sir20195108 - 2019 - Spatial and temporal distribution of bacterial indicators and microbial-source tracking within Tumacácori National Historical Park and the upper Santa Cruz River, southern Arizona and northern Mexico, 2015–2016","interactions":[],"lastModifiedDate":"2019-10-15T14:56:51","indexId":"sir20195108","displayToPublicDate":"2019-10-15T09:30:42","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5108","displayTitle":"Spatial and Temporal Distribution of Bacterial Indicators and Microbial-Source Tracking within Tumacácori National Historical Park and the Upper Santa Cruz River, Southern Arizona and Northern Mexico, 2015–2016","title":"Spatial and temporal distribution of bacterial indicators and microbial-source tracking within Tumacácori National Historical Park and the upper Santa Cruz River, southern Arizona and northern Mexico, 2015–2016","docAbstract":"<p>Tumacácori National Historical Park (TUMA) in southern Arizona protects the culturally important Mission San José de Tumacácori, while also managing a part of the ecologically diverse riparian corridor of the Santa Cruz River. The quality of the water flowing through depends solely on upstream watershed activities, and among the water-quality issues concerning TUMA is the microbiological pathogens in the river introduced by human and animal sources that pose a significant human health risk to employees and visitors. The U.S. Geological Survey (USGS) conducted a 3-year study to understand the sources, timing, and distribution of the fecal-indicator bacteria <i>Escherichia coli</i> (<i>E. coli</i>) within TUMA and the upstream watershed.</p><p>The information provided in this investigation is a result of a comprehensive approach to quantify the spatial and temporal variability of <i>E. coli</i> and suspended sediment in the Upper Santa Cruz River Watershed. Several types of flow were sampled from base flow to flood flow and at high frequency intervals (rise, peak, and recession) to determine daily variability, as well as seasonal variability. Hydrologic data collection and estimation techniques were used to establish a hydrologic relation with <i>E. coli</i> and suspended sediment. Furthermore, source tracking was used to describe the potential sources of <i>E. coli</i>. Models were developed that are expected to be useful for predicting <i>E. coli</i> concentrations to help TUMA managers understand instantaneous conditions to keep the public and staff informed about potentially harmful water-quality conditions. In addition, the concentration, flux, and source information will provide more accurate data for other surface-water modeling and can be useful in the development of total maximum daily load standards. This will help TUMA describe the water-quality conditions at the park and waters flowing through the park, as well as prioritize and help carry out future best-management actions to address these issues.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195108","collaboration":"Prepared in cooperation with the National Park Service, Tumacácori National Historical Park","usgsCitation":"Paretti, N.V., Kephart, C.M., Porter, T.J., Hermosillo, E., Cederberg, J.R., Mayo, J.P., Gungle, B., Coes, A.L., Tucci, R.S., and Norman, L.M., 2019, Spatial and temporal distribution of bacterial indicators and microbial-source tracking within Tumacácori National Historical Park and the upper Santa Cruz River, southern Arizona and northern Mexico, 2015–2016: U.S. Geological Survey Scientific Investigations Report 2019–5108, 102 p., https://doi.org/10.3133/sir20195108.","productDescription":"Report: xi, 102 p., Tables 1-6","numberOfPages":"102","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-099224","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":368276,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20193065","text":"Fact Sheet 2019-3065","linkHelpText":" - <i>Escherichia coli</i> in the Santa Cruz River in Tumacácori National Historical Park, Arizona"},{"id":368273,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5108/coverthb.jpg"},{"id":368274,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5108/sir20195108.pdf","text":"Report","size":"20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5108"},{"id":368275,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2019/5108/sir20195108_tables.xlsx","text":"Tables 1–6","size":"70 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2019-5108"}],"country":"United States, Mexico","otherGeospatial":"Tumacácori National Historical Park, Upper Santa Cruz River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.34368896484374,\n              30.987027960280326\n            ],\n            [\n              -110.53070068359375,\n              30.987027960280326\n            ],\n            [\n              -110.53070068359375,\n              32.02204906495204\n            ],\n            [\n              -111.34368896484374,\n              32.02204906495204\n            ],\n            [\n              -111.34368896484374,\n              30.987027960280326\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:leenhout@usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"mailto:leenhout@usgs.gov\">Director</a>,<br><a href=\"https://az.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://az.water.usgs.gov/\">Arizona Water Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>520 N. Park Avenue<br>Tucson, AZ 85719</p>","tableOfContents":"<p></p><ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Study Area and Watershed Characterization</li><li>Regional Analysis</li><li>Summary</li><li>References Cited</li></ul><p></p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-10-15","noUsgsAuthors":false,"publicationDate":"2019-10-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Paretti, Nicholas V. 0000-0003-2178-4820 nparetti@usgs.gov","orcid":"https://orcid.org/0000-0003-2178-4820","contributorId":173412,"corporation":false,"usgs":true,"family":"Paretti","given":"Nicholas","email":"nparetti@usgs.gov","middleInitial":"V.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kephart, Christopher M. 0000-0002-3369-5596 ckephart@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-5596","contributorId":1932,"corporation":false,"usgs":true,"family":"Kephart","given":"Christopher","email":"ckephart@usgs.gov","middleInitial":"M.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Porter, Thomas J. 0000-0003-3956-9467 tjporter@usgs.gov","orcid":"https://orcid.org/0000-0003-3956-9467","contributorId":195160,"corporation":false,"usgs":true,"family":"Porter","given":"Thomas","email":"tjporter@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":773004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hermosillo, Edyth 0000-0003-1648-1016","orcid":"https://orcid.org/0000-0003-1648-1016","contributorId":219723,"corporation":false,"usgs":true,"family":"Hermosillo","given":"Edyth","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773005,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cederberg, Jay R. 0000-0001-6649-7353 cederber@usgs.gov","orcid":"https://orcid.org/0000-0001-6649-7353","contributorId":964,"corporation":false,"usgs":true,"family":"Cederberg","given":"Jay","email":"cederber@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773006,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mayo, Justine P. 0000-0002-2684-5031 jmayo@usgs.gov","orcid":"https://orcid.org/0000-0002-2684-5031","contributorId":197035,"corporation":false,"usgs":true,"family":"Mayo","given":"Justine","email":"jmayo@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773007,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gungle, Bruce 0000-0001-6406-1206 bgungle@usgs.gov","orcid":"https://orcid.org/0000-0001-6406-1206","contributorId":2237,"corporation":false,"usgs":true,"family":"Gungle","given":"Bruce","email":"bgungle@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773008,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Coes, Alissa L. 0000-0001-6682-5417 alcoes@usgs.gov","orcid":"https://orcid.org/0000-0001-6682-5417","contributorId":4231,"corporation":false,"usgs":true,"family":"Coes","given":"Alissa","email":"alcoes@usgs.gov","middleInitial":"L.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773009,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tucci, Rachel S. 0000-0001-7778-3435","orcid":"https://orcid.org/0000-0001-7778-3435","contributorId":219726,"corporation":false,"usgs":true,"family":"Tucci","given":"Rachel","email":"","middleInitial":"S.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773011,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":219725,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":773010,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70215278,"text":"70215278 - 2019 - Morphodynamic resilience of intertidal mudflats on a seasonal time scale","interactions":[],"lastModifiedDate":"2020-10-14T20:24:23.359312","indexId":"70215278","displayToPublicDate":"2019-10-14T14:55:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7159,"text":"JGR Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Morphodynamic resilience of intertidal mudflats on a seasonal time scale","docAbstract":"<p><span>Intertidal mudflats are morphodynamic features present in many estuaries worldwide. Often located between vegetated shores and deep channels they comprise valuable ecosystems and serve to protect the hinterland by attenuating waves. Although mudflats are persistently present on yearly to decadal time scales, little is known on their morphodynamic adaptation to short‐term variations in forcing such as storms, spring‐neap tidal cycles, and sediment supply. This study aims to explore the morphodynamic resilience of mudflats to seasonal variations in forcing. First, we compare transects observed in South Bay, California, at 3‐ to 6‐monthly intervals. Second, we present the results of a process‐based, morphodynamic profile model (Mflat). Mflat is an open source, Matlab code that describes both cross‐shore and alongshore tidal hydrodynamics as well as a stationary wave model. An advection‐diffusion equation solves sediment transport while bed level changes occur by the divergence of the sediment transport field. Mflat reproduces the observed South San Francisco Bay profile in equilibrium with significant skill. Short‐term variations in hydrodynamic forcing and sediment characteristics disturb the profile mainly at the channel‐shoal edge. The modeled profile disturbance is consistent with observations. The modeled profile is remarkably resilient since it recovers to the equilibrium profile within weeks to months. The model results suggest that 3‐monthly observation intervals are probably too long to discriminate processes responsible for the profile disturbance. These processes may include variations in sediment supply, mudflat erodibility, and wave action as well as the spring‐neap tidal cycle.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JC015492","usgsCitation":"Van der Wegen, M., Roelvink, D., and Jaffe, B.E., 2019, Morphodynamic resilience of intertidal mudflats on a seasonal time scale: JGR Oceans, v. 124, no. 11, p. 8290-8308, https://doi.org/10.1029/2019JC015492.","productDescription":"19 p.","startPage":"8290","endPage":"8308","ipdsId":"IP-110231","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":459523,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2019jc015492","text":"External Repository"},{"id":379385,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.958984375,\n              37.125286284966805\n            ],\n            [\n              -121.37695312499999,\n              37.125286284966805\n            ],\n            [\n              -121.37695312499999,\n              38.30718056188316\n            ],\n            [\n              -122.958984375,\n              38.30718056188316\n            ],\n            [\n              -122.958984375,\n              37.125286284966805\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"124","issue":"11","noUsgsAuthors":false,"publicationDate":"2019-11-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Van der Wegen, Mick","contributorId":191095,"corporation":false,"usgs":false,"family":"Van der Wegen","given":"Mick","email":"","affiliations":[],"preferred":false,"id":801446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roelvink, Dano","contributorId":139950,"corporation":false,"usgs":false,"family":"Roelvink","given":"Dano","email":"","affiliations":[{"id":13328,"text":"UNESCO-IHE","active":true,"usgs":false}],"preferred":false,"id":801447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@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":801448,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70215282,"text":"70215282 - 2019 - Holocene Sea-Level Variability from Chesapeake Bay Tidal Marshes","interactions":[],"lastModifiedDate":"2020-10-14T19:46:59.518365","indexId":"70215282","displayToPublicDate":"2019-10-14T14:35:08","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1905,"text":"Holocene","active":true,"publicationSubtype":{"id":10}},"title":"Holocene Sea-Level Variability from Chesapeake Bay Tidal Marshes","docAbstract":"We reconstructed the last 10,000 years of Holocene relative sea-level rise (RSLR) from sediment core records in near Chesapeake Bay, eastern U.S.A., including new marsh records from the Potomac and Rappahannock Rivers, Virginia.  Results show mean RSLR rates of 2.6 mm yr-1 from 10 to 8 kilo-annum (ka) due to combined final ice-sheet melting during deglaciation and glacio-isostatic adjustment (GIA subsidence).  Mean RSLR rates from ~6 ka to present were 1.4 mm yr-1 due mainly to GIA, consistent with other east coast marsh records and geophysical models.  However, a progressively slower mean rate (< 1.0 mm yr-1) characterized the last 1000 years when a multi-century-long period of tidal marsh development occurred during the Medieval Climate Anomaly (MCA) and Little Ice Age (LIA) in the Chesapeake Bay region and other East Coast marshes.  This decrease was most likely due to climatic and glaciological processes and, correcting for GIA, represents a fall in global mean sea level (GMSL) at near the end of Holocene Neoglacial cooling.   These pre-historical climate- and GIA-driven Chesapeake Bay sea-level changes contrast sharply with those based on Chesapeake Bay tide-gauge rates (3.1-4.5 mm yr-1) (back to 1903).  After subtracting the GIA subsidence component, these rates can be attributed to long-term (millennial) global factors of accelerated ocean thermal expansion (~ 1.0 mm yr-1) and mass loss from alpine glaciers and Greenland and Antarctic Ice Sheets (1.5-2.0 mm yr-1).","language":"English","publisher":"SAGE Publications","doi":"10.1177/0959683619862028","usgsCitation":"Cronin, T.M., Clevenger, M.K., Tibert, N.E., Prescott, T., Toomey, M., Hubeny, J.B., Abbott, M.B., Seidenstein, J., Whitworth, H., Fisher, S., Wondolowski, N., and Ruefer, A., 2019, Holocene Sea-Level Variability from Chesapeake Bay Tidal Marshes: Holocene, v. 29, no. 11, p. 1979-1693, https://doi.org/10.1177/0959683619862028.","productDescription":"15 p.","startPage":"1979","endPage":"1693","ipdsId":"IP-102993","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":459524,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/0959683619862028","text":"Publisher Index Page"},{"id":379383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.6845703125,\n              36.88401445049676\n            ],\n            [\n              -75.7562255859375,\n              36.88401445049676\n            ],\n            [\n              -75.7562255859375,\n              39.06184913429154\n            ],\n            [\n              -76.6845703125,\n              39.06184913429154\n            ],\n            [\n              -76.6845703125,\n              36.88401445049676\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"29","issue":"11","noUsgsAuthors":false,"publicationDate":"2019-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":801637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clevenger, Megan K.","contributorId":243159,"corporation":false,"usgs":false,"family":"Clevenger","given":"Megan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":801638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tibert, Neil E.","contributorId":243160,"corporation":false,"usgs":false,"family":"Tibert","given":"Neil","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":801639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prescott, Tammy","contributorId":243161,"corporation":false,"usgs":false,"family":"Prescott","given":"Tammy","email":"","affiliations":[],"preferred":false,"id":801640,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Toomey, Michael 0000-0003-0167-9273 mtoomey@usgs.gov","orcid":"https://orcid.org/0000-0003-0167-9273","contributorId":184097,"corporation":false,"usgs":true,"family":"Toomey","given":"Michael","email":"mtoomey@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":801641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hubeny, J. Bradford","contributorId":197080,"corporation":false,"usgs":false,"family":"Hubeny","given":"J.","email":"","middleInitial":"Bradford","affiliations":[],"preferred":false,"id":801642,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Abbott, Mark B.","contributorId":97733,"corporation":false,"usgs":true,"family":"Abbott","given":"Mark","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":801643,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Seidenstein, Julia","contributorId":243162,"corporation":false,"usgs":false,"family":"Seidenstein","given":"Julia","affiliations":[],"preferred":false,"id":801644,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Whitworth, Hannah","contributorId":243163,"corporation":false,"usgs":false,"family":"Whitworth","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":801645,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fisher, Samuel R","contributorId":225265,"corporation":false,"usgs":false,"family":"Fisher","given":"Samuel R","affiliations":[{"id":41086,"text":"La Sierra University","active":true,"usgs":false}],"preferred":false,"id":801646,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wondolowski, Nick","contributorId":243164,"corporation":false,"usgs":false,"family":"Wondolowski","given":"Nick","email":"","affiliations":[],"preferred":false,"id":801647,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ruefer, Anna","contributorId":243165,"corporation":false,"usgs":false,"family":"Ruefer","given":"Anna","email":"","affiliations":[],"preferred":false,"id":801648,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70215273,"text":"70215273 - 2019 - River water-quality concentration and flux estimation can be improved by accounting for serial correlation through an autoregressive model","interactions":[],"lastModifiedDate":"2020-10-15T13:33:08.421308","indexId":"70215273","displayToPublicDate":"2019-10-14T14:25:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"River water-quality concentration and flux estimation can be improved by accounting for serial correlation through an autoregressive model","docAbstract":"<p><span>Accurate quantification of riverine water‐quality concentration and flux is challenging because monitoring programs typically collect concentration data at lower frequencies than discharge data. Statistical methods are often used to estimate concentration and flux on days without observations. One recently developed approach is the Weighted Regressions on Time, Discharge, and Season (WRTDS), which has been shown to provide among the most accurate estimates compared to other common methods. The main objective of this work was to improve WRTDS estimation by accounting for the autocorrelation structure of model residuals using the first‐order autoregressive model (AR1). This modified approach, called WRTDS‐Kalman Filter (WRTDS‐K), was compared with WRTDS for six constituents including nitrate‐plus‐nitrite (NO</span><sub>x</sub><span>), total phosphorus, total Kjeldahl nitrogen, soluble reactive phosphorus, suspended sediment, and chloride. Near‐daily concentration records at nine sites were used to generate subsets through Monte Carlo sampling for five different sampling scenarios. Results show that WRTDS‐K provided generally better daily estimates of concentration and flux than WRTDS under these sampling scenarios for all constituents, especially NO</span><sub>x</sub><span>. The degree of improvement is strongly affected by the underlying sampling scenario, with WRTDS‐K gaining more advantage when more samples are available, and hence more residuals can be exploited. The performance of WRTDS‐K depends on the AR1 coefficient (ρ) and that relationship varies with constituents and sampling scenarios. These results provided recommendations on the optimal ρ for each constituent and sampling scenario. Overall, WRTDS‐K has the potential for broad applications to monitoring records elsewhere, as demonstrated by a pilot application to Chesapeake Bay tributaries.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019wr025338","usgsCitation":"Zhang, Q., and Hirsch, R.M., 2019, River water-quality concentration and flux estimation can be improved by accounting for serial correlation through an autoregressive model: Water Resources Research, v. 55, no. 11, p. 9705-9723, https://doi.org/10.1029/2019wr025338.","productDescription":"19 p.","startPage":"9705","endPage":"9723","ipdsId":"IP-110106","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":488944,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019wr025338","text":"Publisher Index Page"},{"id":379382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Lake Erie and Ohio River tributaries","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.7705078125,\n              40.58058466412761\n            ],\n            [\n              -84.48486328124999,\n              40.01078714046552\n            ],\n            [\n              -83.9794921875,\n              39.53793974517628\n            ],\n            [\n              -83.3642578125,\n              39.90973623453719\n            ],\n            [\n              -82.72705078125,\n              39.2832938689385\n            ],\n            [\n              -82.37548828125,\n              41.04621681452063\n            ],\n            [\n              -83.408203125,\n              40.896905775860006\n            ],\n            [\n              -83.84765625,\n              41.178653972331674\n            ],\n            [\n              -83.7158203125,\n              41.82045509614034\n            ],\n            [\n              -84.3310546875,\n              41.918628865183045\n            ],\n            [\n              -84.6826171875,\n              41.393294288784865\n            ],\n            [\n              -85.1220703125,\n              41.16211393939692\n            ],\n            [\n              -85.0341796875,\n              40.54720023441049\n            ],\n            [\n              -84.7705078125,\n              40.58058466412761\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.9912109375,\n              41.72213058512578\n            ],\n            [\n              -81.36474609375,\n              41.343824581185686\n            ],\n            [\n              -81.82617187499999,\n              41.19518982948959\n            ],\n            [\n              -81.5185546875,\n              40.93011520598305\n            ],\n            [\n              -80.96923828125,\n              41.04621681452063\n            ],\n            [\n              -80.6396484375,\n              41.45919537950706\n            ],\n            [\n              -80.6396484375,\n              41.78769700539063\n            ],\n            [\n              -80.9912109375,\n              41.72213058512578\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"55","issue":"11","noUsgsAuthors":false,"publicationDate":"2019-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Qian 0000-0003-0500-5655","orcid":"https://orcid.org/0000-0003-0500-5655","contributorId":174393,"corporation":false,"usgs":false,"family":"Zhang","given":"Qian","email":"","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":801435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":801436,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70218246,"text":"70218246 - 2019 - Infrasound from giant bubbles during explosive submarine eruptions","interactions":[],"lastModifiedDate":"2021-02-19T20:15:54.51462","indexId":"70218246","displayToPublicDate":"2019-10-14T14:11:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Infrasound from giant bubbles during explosive submarine eruptions","docAbstract":"<p><span>Shallow submarine volcanoes pose unique scientific and monitoring challenges. The interaction between water and magma can create violent explosions just below the surface, but the inaccessibility of submerged volcanoes means they are typically not instrumented. This both increases the risk to marine and aviation traffic and leaves the underlying eruption physics poorly understood. Here we use low-frequency sound in the atmosphere (infrasound) to examine the source mechanics of shallow submarine explosions from Bogoslof volcano, Alaska. We show that the infrasound originates from the oscillation and rupture of magmatic gas bubbles that initially formed from submerged vents, but that grew and burst above sea level. We model the low-frequency signals as overpressurized gas bubbles that grow near the water–air interface, which require bubble radii of 50–220 m. Bubbles of this size and larger have been described in explosive subaqueous eruptions for more than a century, but we present a unique geophysical record of this phenomenon. We propose that the dominant role of seawater during the effusion of gas-rich magma into shallow water is to repeatedly produce a gas-tight seal near the vent. This resealing mechanism leads to sequences of violent explosions and the release of large, bubble-forming volumes of gas—activity we describe as hydrovulcanian.</span></p>","language":"English","publisher":"Nature Publications","doi":"10.1038/s41561-019-0461-0","usgsCitation":"Lyons, J.J., Haney, M.M., Fee, D., Wech, A., and Waythomas, C.F., 2019, Infrasound from giant bubbles during explosive submarine eruptions: Nature Geoscience, v. 12, p. 952-958, https://doi.org/10.1038/s41561-019-0461-0.","productDescription":"7 p.","startPage":"952","endPage":"958","ipdsId":"IP-104588","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":383394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Bogoslof volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -168.78295898437497,\n              53.1928702436326\n            ],\n            [\n              -166.1737060546875,\n              53.1928702436326\n            ],\n            [\n              -166.1737060546875,\n              54.08517342088679\n            ],\n            [\n              -168.78295898437497,\n              54.08517342088679\n            ],\n            [\n              -168.78295898437497,\n              53.1928702436326\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2019-10-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":810690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":810691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fee, David","contributorId":251816,"corporation":false,"usgs":false,"family":"Fee","given":"David","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":810692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wech, Aaron 0000-0003-4983-1991","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":202561,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":810693,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waythomas, Christopher F. 0000-0002-3898-272X cwaythomas@usgs.gov","orcid":"https://orcid.org/0000-0002-3898-272X","contributorId":640,"corporation":false,"usgs":true,"family":"Waythomas","given":"Christopher","email":"cwaythomas@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":810694,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208993,"text":"70208993 - 2019 - Calibration of the USGS National Hydrologic Model in ungauged basins using statistical at-site streamflow simulations","interactions":[],"lastModifiedDate":"2020-03-10T14:20:54","indexId":"70208993","displayToPublicDate":"2019-10-14T13:57:26","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2341,"text":"Journal of Hydrologic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Calibration of the USGS National Hydrologic Model in ungauged basins using statistical at-site streamflow simulations","docAbstract":"In the absence of measured streamflow, statistically simulated daily streamflow can be used to support the ability of physical models to represent hydrologic processes at ungauged locations.  The objective of this study was to determine the feasibility of using statistical simulations in place of measured streamflow to calibrate physical models in ungauged basins.  Daily streamflow was simulated at each of the 1,410 gauged watersheds using a cross-validated implementation of pooled ordinary kriging (POK).  In this manner, the streamflow at each gauge was simulated as if no at-site streamflow information were available. The National Hydrologic Model application of the Precipitation-Runoff Modeling System was then calibrated through two separate procedures: (1) with measured streamflow, and (2) with statistically simulated streamflow in lieu of measured streamflow.  Calibrating with statistically simulated streamflow produced performances within 23% of applications with knowledge of at-site measurements.  Furthermore, statistically generated streamflow produced accurate timing information, which, when combined with alternative data sets (e.g., evapotranspiration, recharge, etc.), can be used to improve representation of hydrologic processes at ungauged locations.","language":"English","publisher":"ASCE","doi":"10.1061/(ASCE)HE.1943-5584.0001854","usgsCitation":"Farmer, W., LaFontaine, J., and Hay, L., 2019, Calibration of the USGS National Hydrologic Model in ungauged basins using statistical at-site streamflow simulations: Journal of Hydrologic Engineering, v. 24, no. 11, 04019049, 13 p., https://doi.org/10.1061/(ASCE)HE.1943-5584.0001854.","productDescription":"04019049, 13 p.","ipdsId":"IP-101969","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":437307,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U2A2KU","text":"USGS data release","linkHelpText":"Physical and Statistical Simulations of Daily Streamflow (2000-2010) across the Continental United States for an Analysis of Blended Simulation Methods"},{"id":373073,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                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           [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"24","issue":"11","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Farmer, William 0000-0002-2865-2196 wfarmer@usgs.gov","orcid":"https://orcid.org/0000-0002-2865-2196","contributorId":223175,"corporation":false,"usgs":true,"family":"Farmer","given":"William","email":"wfarmer@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":784444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaFontaine, Jacob 0000-0003-4923-2630 jlafonta@usgs.gov","orcid":"https://orcid.org/0000-0003-4923-2630","contributorId":223176,"corporation":false,"usgs":true,"family":"LaFontaine","given":"Jacob","email":"jlafonta@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science 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,{"id":70215287,"text":"70215287 - 2019 - Large loss of CO2 in winter observed across pan-arctic permafrost region","interactions":[],"lastModifiedDate":"2020-10-15T13:42:01.281389","indexId":"70215287","displayToPublicDate":"2019-10-14T13:45:43","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Large loss of CO<sub>2</sub> in winter observed across pan-arctic permafrost region","title":"Large loss of CO2 in winter observed across pan-arctic permafrost region","docAbstract":"<p><span>Recent warming in the Arctic, which has been amplified during the winter</span><sup><a id=\"ref-link-section-d35506e2410\" title=\"Huang, J. Recently amplified Arctic warming has contributed to a continual global warming trend. Nat. Clim. Change 7, 875–879 (2017).\" href=\"https://www.nature.com/articles/s41558-019-0592-8#ref-CR1\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" data-mce-href=\"https://www.nature.com/articles/s41558-019-0592-8#ref-CR1\">1</a>,<a id=\"ref-link-section-d35506e2410_1\" title=\"Koenigk, T. et al. Arctic Climate Change in 21st century CMIP5 simulations with EC-Earth. Clim. Dynam. 40, 2719–2743 (2013).\" href=\"https://www.nature.com/articles/s41558-019-0592-8#ref-CR2\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" data-mce-href=\"https://www.nature.com/articles/s41558-019-0592-8#ref-CR2\">2</a>,<a id=\"ref-link-section-d35506e2413\" title=\"Cohen, J. et al. Recent Arctic amplification and extreme mid-latitude weather. Nat. Geosci. 7, 627–637 (2014).\" href=\"https://www.nature.com/articles/s41558-019-0592-8#ref-CR3\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 3\" data-mce-href=\"https://www.nature.com/articles/s41558-019-0592-8#ref-CR3\">3</a></sup><span>, greatly enhances microbial decomposition of soil organic matter and subsequent release of carbon dioxide (CO</span><sub>2</sub><span>)</span><sup><a id=\"ref-link-section-d35506e2419\" title=\"Schadel, C. et al. Potential carbon emissions dominated by carbon dioxide from thawed permafrost soils. Nat. Clim. Change 6, 950–953 (2016).\" href=\"https://www.nature.com/articles/s41558-019-0592-8#ref-CR4\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 4\" data-mce-href=\"https://www.nature.com/articles/s41558-019-0592-8#ref-CR4\">4</a></sup><span>. However, the amount of CO</span><sub>2</sub><span>&nbsp;released in winter is not known and has not been well represented by ecosystem models or empirically based estimates</span><sup><a id=\"ref-link-section-d35506e2425\" title=\"Fisher, J. B. et al. Carbon cycle uncertainty in the Alaskan Arctic. Biogeosciences 11, 4271–4288 (2014).\" href=\"https://www.nature.com/articles/s41558-019-0592-8#ref-CR5\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 5\" data-mce-href=\"https://www.nature.com/articles/s41558-019-0592-8#ref-CR5\">5</a>,<a id=\"ref-link-section-d35506e2428\" title=\"Commane, R. et al. Carbon dioxide sources from Alaska driven by increasing early winter respiration from Arctic tundra. Proc. Natl Acad. Sci. USA 114, 5361–5366 (2017).\" href=\"https://www.nature.com/articles/s41558-019-0592-8#ref-CR6\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 6\" data-mce-href=\"https://www.nature.com/articles/s41558-019-0592-8#ref-CR6\">6</a></sup><span>. Here we synthesize regional in situ observations of CO</span><sub>2</sub><span>&nbsp;flux from Arctic and boreal soils to assess current and future winter carbon losses from the northern permafrost domain. We estimate a contemporary loss of 1,662 TgC per year from the permafrost region during the winter season (October–April). This loss is greater than the average growing season carbon uptake for this region estimated from process models (−1,032 TgC per year). Extending model predictions to warmer conditions up to 2100 indicates that winter CO</span><sub>2</sub><span>&nbsp;emissions will increase 17% under a moderate mitigation scenario—Representative Concentration Pathway 4.5—and 41% under business-as-usual emissions scenario—Representative Concentration Pathway 8.5. Our results provide a baseline for winter CO</span><sub>2</sub><span>&nbsp;emissions from northern terrestrial regions and indicate that enhanced soil CO</span><sub>2</sub><span>&nbsp;loss due to winter warming may offset growing season carbon uptake under future climatic conditions.</span></p>","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/s41558-019-0592-8","usgsCitation":"Natali, S.M., Watts, J.D., Potter, S., Rogers, B.M., Ludwig, S.M., Selbmann, A., Sullivan, P., Abbott, B., Arndt, K.A., Birch, L., Bjorkman, M., Bloom, A., Celis, G., Christiensen, T.R., Christiansen, C.T., Commane, R., Cooper, E.J., Crill, P., Czimczik, C., Davydov, S., Du, J., Egan, J.E., Elberling, B., Euskirchen, E.S., Friborg, T., Genet, H., Gockede, M., Goodrich, J.P., Grogan, P., Helbig, M., Jafarov, E.E., Jastrow, J., Kalhori, A., Kim, Y., Kimball, J., Kutzbach, L., Lara, M.J., Larsen, K.S., Loranty, M., Lund, M., Lupascu, M., Madani, N., Malhorta, A., McFarland, J., McGuire, D.A., Michelson, A., Minions, C., Oechel, W.C., Olefeldt, D., Parmentier, F., Pirk, N., Poulter, B., Quinton, W.L., Rezanezhad, F., Risk, D., Sachs, T., Schaefer, K., Schmidt, N.M., Schuur, E.A., Semenchuk, P.R., Shaver, G., Sonnentag, O., Starr, G., Treat, C.C., Waldrop, M.P., Wang, Y., Welker, J., Wille, C., Xu, X., Zhang, Z., Zhuang, Q., and Zona, D., 2019, Large loss of CO2 in winter observed across pan-arctic permafrost region: Nature Climate Change, v. 9, p. 852-857, https://doi.org/10.1038/s41558-019-0592-8.","productDescription":"6 p.","startPage":"852","endPage":"857","ipdsId":"IP-102596","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":459531,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/11250/2649468","text":"External 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Institute for Research, Environmental Sciences, University of Colorado at Boulder, Boulder, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":801582,"contributorType":{"id":1,"text":"Authors"},"rank":57},{"text":"Schmidt, Neils M.","contributorId":243128,"corporation":false,"usgs":false,"family":"Schmidt","given":"Neils","email":"","middleInitial":"M.","affiliations":[{"id":37318,"text":"Aarhus University","active":true,"usgs":false}],"preferred":false,"id":801583,"contributorType":{"id":1,"text":"Authors"},"rank":58},{"text":"Schuur, Edward A.","contributorId":218050,"corporation":false,"usgs":false,"family":"Schuur","given":"Edward","email":"","middleInitial":"A.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":801584,"contributorType":{"id":1,"text":"Authors"},"rank":59},{"text":"Semenchuk, Philipp 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Gregory","contributorId":243131,"corporation":false,"usgs":false,"family":"Starr","given":"Gregory","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":801588,"contributorType":{"id":1,"text":"Authors"},"rank":63},{"text":"Treat, Claire C.","contributorId":150798,"corporation":false,"usgs":false,"family":"Treat","given":"Claire","email":"","middleInitial":"C.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":801589,"contributorType":{"id":1,"text":"Authors"},"rank":64},{"text":"Waldrop, Mark P. 0000-0003-1829-7140","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":243132,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","email":"","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":801590,"contributorType":{"id":1,"text":"Authors"},"rank":65},{"text":"Wang, Yihui","contributorId":243133,"corporation":false,"usgs":false,"family":"Wang","given":"Yihui","email":"","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":801591,"contributorType":{"id":1,"text":"Authors"},"rank":66},{"text":"Welker, Jeffrey","contributorId":214926,"corporation":false,"usgs":false,"family":"Welker","given":"Jeffrey","affiliations":[{"id":37194,"text":"University of Alaska Anchorage","active":true,"usgs":false}],"preferred":false,"id":801592,"contributorType":{"id":1,"text":"Authors"},"rank":67},{"text":"Wille, Christian","contributorId":243134,"corporation":false,"usgs":false,"family":"Wille","given":"Christian","email":"","affiliations":[{"id":48644,"text":"GFZ German Research Center for Geosciences","active":true,"usgs":false}],"preferred":false,"id":801593,"contributorType":{"id":1,"text":"Authors"},"rank":68},{"text":"Xu, Xiaofeng","contributorId":167811,"corporation":false,"usgs":false,"family":"Xu","given":"Xiaofeng","email":"","affiliations":[],"preferred":false,"id":801594,"contributorType":{"id":1,"text":"Authors"},"rank":69},{"text":"Zhang, Zhen 0000-0003-0899-1139","orcid":"https://orcid.org/0000-0003-0899-1139","contributorId":149173,"corporation":false,"usgs":false,"family":"Zhang","given":"Zhen","email":"","affiliations":[],"preferred":false,"id":801595,"contributorType":{"id":1,"text":"Authors"},"rank":70},{"text":"Zhuang, Qianlai","contributorId":207137,"corporation":false,"usgs":false,"family":"Zhuang","given":"Qianlai","email":"","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":801596,"contributorType":{"id":1,"text":"Authors"},"rank":71},{"text":"Zona, 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,{"id":70215264,"text":"70215264 - 2019 - Application of a regional climate model to assess changes in the climatology of the Eastern US and Cuba associated with historic landcover change","interactions":[],"lastModifiedDate":"2022-04-14T19:37:38.56995","indexId":"70215264","displayToPublicDate":"2019-10-14T12:02:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5998,"text":"JGR Atmospheres","active":true,"publicationSubtype":{"id":10}},"title":"Application of a regional climate model to assess changes in the climatology of the Eastern US and Cuba associated with historic landcover change","docAbstract":"<p><span>We examine the annual, seasonal, monthly, and diurnal climate responses to the land use change (LUC) in eastern United States and Cuba during four epochs (1650, 1850, 1920, and 1992) with ensemble simulations conducted with the RegCM4 regional climate model that includes the Biosphere Atmosphere Transfer Scheme (BATS1e) surface physics package (Dickinson et al., 1993). We derived the land use (LU) data sets by harmonizing a previous reconstruction (Steyaert &amp; Knox, 2008) with updated observations and modeled potential vegetation. The eight‐member ensembles for each epoch were driven with randomly perturbed 1990–2002 atmospheric boundary conditions derived from the National Center for Environmental Prediction global reanalysis. LUC induces statistically significant climate responses across all epochs; the largest changes occur between 1850 and 1920 with the widespread conversion of forests in the United States and forests, grassland, and woody wetlands in Cuba to agriculture. The atmospheric feedback from the aggregated grid‐cell responses attributed to physical and biophysical parameters in BATS1e alters the circulation in the lower atmosphere, thereby propagating the LUC regionally. Depending on the season and location, the altered circulation reinforces, attenuates, or has little effect on surface responses. Relative to pre‐settlement (1650), the 1992 LU produces colder mean annual air temperature (−0.09 ± 0.16 °C) and increased precipitation (0.08 ± 0.09 mm day</span><sup>−1</sup><span>) over the United States, warmer (0.08 °C) and wetter (0.03 mm day</span><sup>−1</sup><span>) conditions over Florida, and warming (0.32 °C) and drying (−0.03 mm day</span><sup>−1</sup><span>) over Cuba, indicating that LUC has played a varying role in climate change over the region.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019jd030965","usgsCitation":"Hostetler, S.W., Reker, R., Alder, J.R., Loveland, T., Willard, D.A., Bernhardt, C.E., Sundquist, E.T., and Thompson, R., 2019, Application of a regional climate model to assess changes in the climatology of the Eastern US and Cuba associated with historic landcover change: JGR Atmospheres, v. 124, no. 22, p. 11722-11745, https://doi.org/10.1029/2019jd030965.","productDescription":"24 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EROS","active":true,"usgs":false}],"preferred":false,"id":801376,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alder, Jay R. 0000-0003-2378-2853 jalder@usgs.gov","orcid":"https://orcid.org/0000-0003-2378-2853","contributorId":5118,"corporation":false,"usgs":true,"family":"Alder","given":"Jay","email":"jalder@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":801377,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loveland, Thomas 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140611,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":801378,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Willard, Debra A. 0000-0003-4878-0942 dwillard@usgs.gov","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":2076,"corporation":false,"usgs":true,"family":"Willard","given":"Debra","email":"dwillard@usgs.gov","middleInitial":"A.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true}],"preferred":true,"id":801634,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bernhardt, Christopher E. 0000-0003-0082-4731 cbernhardt@usgs.gov","orcid":"https://orcid.org/0000-0003-0082-4731","contributorId":2131,"corporation":false,"usgs":true,"family":"Bernhardt","given":"Christopher","email":"cbernhardt@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":801635,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sundquist, Eric T. 0000-0002-1449-8802 esundqui@usgs.gov","orcid":"https://orcid.org/0000-0002-1449-8802","contributorId":1922,"corporation":false,"usgs":true,"family":"Sundquist","given":"Eric","email":"esundqui@usgs.gov","middleInitial":"T.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":801380,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thompson, Renee L. rthompson1@usgs.gov","contributorId":2933,"corporation":false,"usgs":true,"family":"Thompson","given":"Renee L.","email":"rthompson1@usgs.gov","affiliations":[],"preferred":true,"id":801636,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70206024,"text":"70206024 - 2019 - Quantifying source and sink habitats and pathways in spatially structured populations: A generalized modelling approach","interactions":[],"lastModifiedDate":"2019-10-18T06:31:20","indexId":"70206024","displayToPublicDate":"2019-10-14T11:24:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying source and sink habitats and pathways in spatially structured populations: A generalized modelling approach","docAbstract":"The ability to classify habitats and movement pathways as sources or sinks is an important part of the decision making process for the conservation of spatially structured populations. Diverse approaches have been used to quantify the importance of habitats and pathways in a spatial network, however these approaches have been limited by a lack of general applicability across life histories and movement strategies. In this paper we develop a generalized per-capita\ncontribution metric, the C-metric, for quantifying habitat and pathway quality. This metric is novel in that it can be applied broadly to both metapopulations and migratory species. It allows for any number of age and sex classes, unlimited number of seasons or time intervals within the annual cycle, and for density-dependent parameters. We demonstrate the flexibility of the metric\nwith four case studies: a hypothetical metapopulation, elk of the Greater Yellowstone Ecosystem, northern pintail ducks in North America, and the eastern population of the monarch butterfly. General computer code to calculate the per-capita contribution metric is provided. We demonstrate that the C-metric is useful for identifying source and sink habitats in a network and suggest that the C-metric could be supplemented by some measure of network structure for\na more robust description of habitat or pathway importance.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2019.06.003","usgsCitation":"Diffendorfer, J., Sample, C., Beiri, J.A., Allen, B.L., Dementieva, Y., Carson, A., Higgins, C., Piatt, S., Qiu, S., Stafford, S., Mattsson, B., Semmens, D.J., and Thogmartin, W.E., 2019, Quantifying source and sink habitats and pathways in spatially structured populations: A generalized modelling approach: Ecological Modelling, v. 407, p. 1-10, https://doi.org/10.1016/j.ecolmodel.2019.06.003.","productDescription":"108715, 10p.","startPage":"1","endPage":"10","onlineOnly":"N","ipdsId":"IP-107928","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":467317,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2019.06.003","text":"Publisher Index Page"},{"id":368382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368372,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2019.06.003"}],"volume":"407","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":773325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sample, Christine","contributorId":201060,"corporation":false,"usgs":false,"family":"Sample","given":"Christine","email":"","affiliations":[],"preferred":false,"id":773326,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beiri, Joanna A","contributorId":219840,"corporation":false,"usgs":false,"family":"Beiri","given":"Joanna","email":"","middleInitial":"A","affiliations":[{"id":40077,"text":"Univ of Redlands","active":true,"usgs":false}],"preferred":false,"id":773327,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Benjamin L.","contributorId":193210,"corporation":false,"usgs":false,"family":"Allen","given":"Benjamin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":773328,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dementieva, Yulia","contributorId":219841,"corporation":false,"usgs":false,"family":"Dementieva","given":"Yulia","email":"","affiliations":[{"id":35881,"text":"Emmanuel College","active":true,"usgs":false}],"preferred":false,"id":773329,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carson, Alyssa","contributorId":219842,"corporation":false,"usgs":false,"family":"Carson","given":"Alyssa","email":"","affiliations":[{"id":35881,"text":"Emmanuel College","active":true,"usgs":false}],"preferred":false,"id":773330,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Higgins, Connar","contributorId":219843,"corporation":false,"usgs":false,"family":"Higgins","given":"Connar","email":"","affiliations":[{"id":35881,"text":"Emmanuel College","active":true,"usgs":false}],"preferred":false,"id":773331,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Piatt, Sadie","contributorId":219844,"corporation":false,"usgs":false,"family":"Piatt","given":"Sadie","email":"","affiliations":[{"id":35881,"text":"Emmanuel College","active":true,"usgs":false}],"preferred":false,"id":773332,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Qiu, Shirley","contributorId":219845,"corporation":false,"usgs":false,"family":"Qiu","given":"Shirley","email":"","affiliations":[{"id":35881,"text":"Emmanuel College","active":true,"usgs":false}],"preferred":false,"id":773333,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stafford, Summer","contributorId":219846,"corporation":false,"usgs":false,"family":"Stafford","given":"Summer","email":"","affiliations":[{"id":36213,"text":"University of Redlands","active":true,"usgs":false}],"preferred":false,"id":773334,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mattsson, Brady J.","contributorId":171612,"corporation":false,"usgs":false,"family":"Mattsson","given":"Brady J.","affiliations":[{"id":26928,"text":"Univ. of Vienna","active":true,"usgs":false}],"preferred":false,"id":773335,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":773336,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":773337,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70215261,"text":"70215261 - 2019 - Global ecological predictors of the soil priming effect","interactions":[],"lastModifiedDate":"2020-10-16T13:57:57.156401","indexId":"70215261","displayToPublicDate":"2019-10-14T11:16:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Global ecological predictors of the soil priming effect","docAbstract":"<p><span>Identifying the global drivers of soil priming is essential to understanding C cycling in terrestrial ecosystems. We conducted a survey of soils across 86 globally-distributed locations, spanning a wide range of climates, biotic communities, and soil conditions, and evaluated the apparent soil priming effect using&nbsp;</span><sup>13</sup><span>C-glucose labeling. Here we show that the magnitude of the positive apparent priming effect (increase in CO</span><sub>2</sub><span>&nbsp;release through accelerated microbial biomass turnover) was negatively associated with SOC content and microbial respiration rates. Our statistical modeling suggests that apparent priming effects tend to be negative in more mesic sites associated with higher SOC contents. In contrast, a single-input of labile C causes positive apparent priming effects in more arid locations with low SOC contents. Our results provide solid evidence that SOC content plays a critical role in regulating apparent priming effects, with important implications for the improvement of C cycling models under global change scenarios.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41467-019-11472-7","usgsCitation":"Bastida, F., Garcia, C.M., Fierer, N., Eldridge, D.J., Bowker, M.A., Abades, S.R., Alfaro, F.D., Berhe, A., Cutler, N.A., Gallardo, A., Garcia-Velazquez, L., Hart, S.C., Hayes, P.E., Hernandez, T., Hseu, Z., Jehmlich, N., Kirchmair, M., Lambers, H., Neuhauser, S., Pena-Ramirez, V.M., Perez, C.A., Reed, S.C., Santos, F., Siebe, C., Sullivan, B., Trivedi, P., Vera, A., Williams, M., Moreno, J.M., and Delgado-Baquerizo, M., 2019, Global ecological predictors of the soil priming effect: Nature Communications, v. 10, 3481, 9 p., https://doi.org/10.1038/s41467-019-11472-7.","productDescription":"3481, 9 p.","ipdsId":"IP-102199","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":459540,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-019-11472-7","text":"Publisher Index Page"},{"id":379371,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2019-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Bastida, Felipe","contributorId":240755,"corporation":false,"usgs":false,"family":"Bastida","given":"Felipe","email":"","affiliations":[],"preferred":false,"id":801339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia, Carlos M.","contributorId":71432,"corporation":false,"usgs":true,"family":"Garcia","given":"Carlos","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":801632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fierer, 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