{"pageNumber":"654","pageRowStart":"16325","pageSize":"25","recordCount":184617,"records":[{"id":70210773,"text":"70210773 - 2020 - Hawaii as a microcosm: Advancing the science and practice of managing introduced and invasive species","interactions":[],"lastModifiedDate":"2020-06-24T13:20:49.817291","indexId":"70210773","displayToPublicDate":"2020-01-22T08:17:37","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Hawaii as a microcosm: Advancing the science and practice of managing introduced and invasive species","docAbstract":"Invasive species are a leading driver of global change, with consequences for biodiversity and society. Because of extraordinary rates of endemism, introduction, and extinction, Hawaii offers a rich platform for exploring the cross-disciplinary challenges of managing invasive species in a dynamic world. We highlight key successes and shortcomings to share lessons learned and inspire innovation and action in and beyond the archipelago. We then discuss thematic challenges and opportunities of broad relevance to invaded ecosystems and human communities. Important research needs and possible actions include eradicating mammals from “mainland island” sanctuaries, assessing hidden threats from poorly known introduced species, harnessing genomic tools to eradicate disease vectors, structured decision making to achieve common objectives among diverse stakeholders, and enhancing capacity through nontraditional funding streams and progressive legislation. By shining a spotlight on invasive species at the front lines in Hawaii, we hope to catalyze strategic research and practice to help inform scientists and policymakers.","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biz154","usgsCitation":"Pejchar, L., Lepczyk, C.A., Fantle-Lepczyk, J., Hess, S.C., Johnson, M.T., Leopold, C., Marchetti, M.P., McClure, K.M., and Sheils, A.B., 2020, Hawaii as a microcosm: Advancing the science and practice of managing introduced and invasive species: BioScience, v. 70, no. 2, p. 184-193, https://doi.org/10.1093/biosci/biz154.","productDescription":"10 p.","startPage":"184","endPage":"193","ipdsId":"IP-113186","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":375846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Tracy","contributorId":225496,"corporation":false,"usgs":false,"family":"Johnson","given":"M.","email":"","middleInitial":"Tracy","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":791348,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leopold, Christina 0000-0003-0499-3196","orcid":"https://orcid.org/0000-0003-0499-3196","contributorId":178961,"corporation":false,"usgs":false,"family":"Leopold","given":"Christina","affiliations":[],"preferred":false,"id":791349,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marchetti, Michael P.","contributorId":191469,"corporation":false,"usgs":false,"family":"Marchetti","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":791350,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McClure, Katherine M","contributorId":225497,"corporation":false,"usgs":false,"family":"McClure","given":"Katherine","email":"","middleInitial":"M","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":791351,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sheils, Aaron B","contributorId":225498,"corporation":false,"usgs":false,"family":"Sheils","given":"Aaron","email":"","middleInitial":"B","affiliations":[{"id":41148,"text":"USDA National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":791352,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70208838,"text":"70208838 - 2020 - Tree mortality in blue oak woodland during extreme drought in Sequoia National Park, California","interactions":[],"lastModifiedDate":"2020-03-03T07:40:37","indexId":"70208838","displayToPublicDate":"2020-01-22T07:38:12","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2639,"text":"Madroño","active":true,"publicationSubtype":{"id":10}},"title":"Tree mortality in blue oak woodland during extreme drought in Sequoia National Park, California","docAbstract":"Blue oak woodlands in California have been a focus of conservation concern for many years. Numerous studies have found that existing seedling and sapling numbers are inadequate to sustain current populations, and recent work has suggested that blue oak woodlands might be particularly vulnerable to a warming climate. California has recently experienced a drought of historically unprecedented severity, resulting in the mortality of tens of millions of trees, including an apparent spike in mortality in oak communities. Here we present the results of a survey of tree mortality and composition in blue oak woodlands in Sequoia National Park. We found that 18% (95% CI = 14–24,) of all standing trees and 23% (95% CI = 17–30) of standing Quercus douglasii Hook. & Arn. (blue oak) were dead, substantially higher than proportions of dead trees recorded in pre-drought datasets, which showed 4% (95% CI = 2–9) standing dead for all trees and 5% (95% CI = 4–7) dead or 8% (95% CI = 4–16) standing dead for blue oak. Furthermore, much of this mortality appeared to be recent. Based on foliage or fine twig retention, 19% (95% CI = 14–26) of blue oak and 23% (95% CI = 16–31) of Quercus wislizeni A. DC. (interior live oak) appear to have died recently. In contrast, only 5% (95% CI = 3–8) of Aesculus californica (Spach) Nutt. (California buckeye) and 5% (95% CI = 2–11) of Fraxinus dipetala Hook. & Arn. (California ash) appear to have died recently. Even after such high mortality, with blue oak basal area dropping by 26% (from 9.5 m2/ha [95% CI = 7.4–11.6] to 7.0 m2/ha [95% CI = 5.3–8.7]), blue oak remains the dominant species in these ecosystems. However, given the lack of recruitment and the apparent vulnerability to extreme drought, blue oak populations may be at risk for severe decline if such mortality events become more frequent.","language":"English","publisher":"California Botanical Society","doi":"10.3120/0024-9637-66.4.164","usgsCitation":"Das, A., Ampersee, N.J., Pfaff, A.H., Stephenson, N.L., Swiecki, T.J., Bernhardt, E.A., Haggerty, P., and Nydick, K.R., 2020, Tree mortality in blue oak woodland during extreme drought in Sequoia National Park, California: Madroño, v. 66, no. 4, p. 164-175, https://doi.org/10.3120/0024-9637-66.4.164.","productDescription":"12 p.","startPage":"164","endPage":"175","ipdsId":"IP-108490","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":458052,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.biodiversitylibrary.org/part/388944","text":"External Repository"},{"id":437146,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97NBUTC","text":"USGS data release","linkHelpText":"Tree mortality in blue oak woodlands in Sequoia National Park during the extreme drought"},{"id":372829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sequoia National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.69010925292969,\n              36.41078375301565\n            ],\n            [\n              -118.4271240234375,\n              36.41078375301565\n            ],\n            [\n              -118.4271240234375,\n              36.563151553545985\n            ],\n            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nampersee@usgs.gov","orcid":"https://orcid.org/0000-0002-3950-3110","contributorId":200203,"corporation":false,"usgs":true,"family":"Ampersee","given":"Nicholas","email":"nampersee@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":783578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pfaff, Anne Hopkins","contributorId":222933,"corporation":false,"usgs":true,"family":"Pfaff","given":"Anne","email":"","middleInitial":"Hopkins","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783576,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swiecki, Tedmund J","contributorId":222934,"corporation":false,"usgs":false,"family":"Swiecki","given":"Tedmund","email":"","middleInitial":"J","affiliations":[{"id":40628,"text":"Phytosphere Research","active":true,"usgs":false}],"preferred":false,"id":783580,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bernhardt, Elizabeth A","contributorId":222935,"corporation":false,"usgs":false,"family":"Bernhardt","given":"Elizabeth","email":"","middleInitial":"A","affiliations":[{"id":40628,"text":"Phytosphere Research","active":true,"usgs":false}],"preferred":false,"id":783581,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haggerty, Patricia 0000-0003-0834-8143","orcid":"https://orcid.org/0000-0003-0834-8143","contributorId":202970,"corporation":false,"usgs":true,"family":"Haggerty","given":"Patricia","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":783582,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nydick, Koren R.","contributorId":196601,"corporation":false,"usgs":false,"family":"Nydick","given":"Koren","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":783583,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70208311,"text":"70208311 - 2020 - Evaluation of hydrologic impact of an irrigation curtailment program in the Upper Klamath Lake Basin using Landsat satellite data","interactions":[],"lastModifiedDate":"2020-05-05T16:44:59.832545","indexId":"70208311","displayToPublicDate":"2020-01-22T07:27:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of hydrologic impact of an irrigation curtailment program in the Upper Klamath Lake Basin using Landsat satellite data","docAbstract":"Upper Klamath Lake (UKL) is the source of the Klamath river that flows through southern Oregon and northern California. The UKL basin is home to two endangered species and provides water for 81,000+ ha (200,000+ acres) of irrigation on the United States Bureau of Reclamation (USBR) Klamath Project located downstream of the UKL basin. Irrigated agriculture also occurs along the tributaries to UKL. During 2013–2016, water right calls resulted in various levels of curtailment of irrigation diversions from the tributaries to UKL. However, information on the extent of curtailment, how much irrigation water was saved, and its impact on the UKL is unknown. In this study, we combined Landsat-based actual evapotranspiration (ETa) data obtained from the Operational Simplified Surface Energy Balance (SSEBop) model with gridded precipitation and USGS station discharge data to evaluate the hydrologic impact of the curtailment program. Analysis was performed for five base years (2004, 2006, 2008-2010) and four target years (2013-2016) over irrigated areas above UKL. Our results indicated that the impact of the curtailment program over the June to September time-period was highest during 2013 and declined in each of the following years. The total on-field water savings were approximately 60 hm3 in 2013 and 2014, 44 hm3 in 2015, and 32 hm3 in 2016. The instream water flow change or extra water available (EWA) were found at 92, 68, 45, and 26 hm3 respectively for 2013, 2014, 2015 and 2016. Most water savings came from pasture and wetlands. Alfalfa showed the most decline in water use among grain crops. The resulting EWA from the curtailment contributed to a maximum of 19% of the lake inflows and 50% of the lake volume. This study presents the use of Landsat-based ETa and other remote sensing datasets for evaluating water-related impacts of the irrigation curtailment program.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13708","usgsCitation":"Velpuri, N., Senay, G., Schauer, M., Garcia, C.A., Singh, R., Friedrichs, M., Bohms, S., Haynes, J.V., and Conlon, T.D., 2020, Evaluation of hydrologic impact of an irrigation curtailment program in the Upper Klamath Lake Basin using Landsat satellite data: Hydrological Processes, v. 34, no. 8, p. 1697-1713, https://doi.org/10.1002/hyp.13708.","productDescription":"17 p.","startPage":"1697","endPage":"1713","ipdsId":"IP-111134","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":458053,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.13708","text":"Publisher Index Page"},{"id":437147,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BC38CL","text":"USGS data release","linkHelpText":"Assessing the impact of irrigation curtailment using Landsat satellite data: A case study in the Upper Klamath Lake basin"},{"id":371987,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"California, Oregon","otherGeospatial":"Upper Klamath Lake Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.42041015624999,\n              40.76806170936614\n            ],\n            [\n              -119.94323730468749,\n              40.76806170936614\n            ],\n            [\n              -119.94323730468749,\n              43.205175817237304\n            ],\n            [\n              -123.42041015624999,\n              43.205175817237304\n            ],\n            [\n              -123.42041015624999,\n              40.76806170936614\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","issue":"8","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Velpuri, Naga Manohar  0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":216911,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga Manohar ","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":781360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel 0000-0002-8810-8539","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":216910,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":781361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schauer, Matthew 0000-0002-4198-3379","orcid":"https://orcid.org/0000-0002-4198-3379","contributorId":216909,"corporation":false,"usgs":true,"family":"Schauer","given":"Matthew","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":781362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, C. Amanda 0000-0003-3776-3565 cgarcia@usgs.gov","orcid":"https://orcid.org/0000-0003-3776-3565","contributorId":1899,"corporation":false,"usgs":true,"family":"Garcia","given":"C.","email":"cgarcia@usgs.gov","middleInitial":"Amanda","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Singh, Ramesh  0000-0002-8164-3483","orcid":"https://orcid.org/0000-0002-8164-3483","contributorId":216912,"corporation":false,"usgs":false,"family":"Singh","given":"Ramesh ","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":781364,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Friedrichs, MacKenzie 0000-0002-9602-321X","orcid":"https://orcid.org/0000-0002-9602-321X","contributorId":216914,"corporation":false,"usgs":true,"family":"Friedrichs","given":"MacKenzie","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":781365,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bohms, Stefanie 0000-0002-2979-4655 sbohms@usgs.gov","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":3148,"corporation":false,"usgs":true,"family":"Bohms","given":"Stefanie","email":"sbohms@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":781359,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haynes, Jonathan V. 0000-0001-6530-6252 jhaynes@usgs.gov","orcid":"https://orcid.org/0000-0001-6530-6252","contributorId":3113,"corporation":false,"usgs":true,"family":"Haynes","given":"Jonathan","email":"jhaynes@usgs.gov","middleInitial":"V.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781366,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Conlon, Terrence D. 0000-0002-5899-7187 tdconlon@usgs.gov","orcid":"https://orcid.org/0000-0002-5899-7187","contributorId":819,"corporation":false,"usgs":true,"family":"Conlon","given":"Terrence","email":"tdconlon@usgs.gov","middleInitial":"D.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781367,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70208093,"text":"70208093 - 2020 - A high-resolution seismic catalog for the initial 2019 Ridgecrest Earthquake sequence: Foreshocks, aftershocks, and faulting complexity","interactions":[],"lastModifiedDate":"2020-07-09T14:29:51.80854","indexId":"70208093","displayToPublicDate":"2020-01-22T07:21:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"A high-resolution seismic catalog for the initial 2019 Ridgecrest Earthquake sequence: Foreshocks, aftershocks, and faulting complexity","docAbstract":"<p>I use template matching and precise relative relocation techniques to develop a high-resolution earthquake catalog for the initial portion of the 2019 Ridgecrest earthquake sequence, from July 4-16, encompassing the foreshock sequence and the first 10+ days of aftershocks following the M<sub>w</sub> 7.1 mainshock. Using 13,525 routinely cataloged events as waveform templates, I detect and precisely locate a total of 34,091 events. Precisely located earthquakes reveal numerous cross-cutting fault structures with dominantly perpendicular SW- and NW-strikes. Foreshocks of the M<sub>w</sub> 6.4 event appear to align on a NW-striking fault. Aftershocks of the M<sub>w</sub> 6.4 event suggest that it further ruptured this NW-striking fault, as well as the SW-striking fault where surface rupture was observed. Finally, aftershocks of the M<sub>w</sub> 7.1 show a highly complex distribution, illuminating a primary NW-striking fault zone consistent with surface rupture, but also numerous cross-cutting SW-striking faults. Aftershock relocations suggest that the M<sub>w</sub> 7.1 event ruptured adjacent to the previous NW-striking rupture of the M<sub>w</sub> 6.4, perhaps activating a subparallel structure southwest of the earlier rupture. Both the NW and SE rupture termini of the M<sub>w</sub> 7.1 rupture exhibited multiple-fault branching, with particularly high rates of aftershocks and multiple fault orientations in the dilatational quadrant NE of the NW rupture terminus.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190309","usgsCitation":"Shelly, D.R., 2020, A high-resolution seismic catalog for the initial 2019 Ridgecrest Earthquake sequence: Foreshocks, aftershocks, and faulting complexity: Seismological Research Letters, v. 91, no. 4, p. 1971-1978, https://doi.org/10.1785/0220190309.","productDescription":"8 p.","startPage":"1971","endPage":"1978","ipdsId":"IP-113928","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":437148,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JN6H0N","text":"USGS data release","linkHelpText":"A High-Resolution Seismic Catalog for the Initial 2019 Ridgecrest Earthquake Sequence"},{"id":371635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.66308593749999,\n              33.73347670599252\n            ],\n            [\n              -114.63134765625001,\n              33.73347670599252\n            ],\n            [\n              -114.63134765625001,\n              36.00467348670187\n            ],\n            [\n              -119.66308593749999,\n              36.00467348670187\n            ],\n            [\n              -119.66308593749999,\n              33.73347670599252\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"91","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":780447,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70236892,"text":"70236892 - 2020 - Revision of Boore (2018) Ground‐motion predictions for Central and Eastern North America: Path and offset adjustments and extension to 200 m/s <= Vs30 <= 3000 m/s","interactions":[],"lastModifiedDate":"2022-09-21T12:13:16.1024","indexId":"70236892","displayToPublicDate":"2020-01-22T07:08:45","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Revision of Boore (2018) Ground‐motion predictions for Central and Eastern North America: Path and offset adjustments and extension to 200 m/s <= Vs30 <= 3000 m/s","docAbstract":"<p>The three sets of ground‐motion predictions (GMPs) of<span>&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf11\">Boore (2018</a>; hereafter, B18) are compared with a much larger dataset than was used in deriving the predictions. The B18 GMPs work well for response spectra at periods between<span>&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; form=&quot;prefix&quot;>&amp;#x223C;</mo><mn xmlns=&quot;&quot;>0.15</mn></math>\"><span id=\"MathJax-Span-39\" class=\"math\"><span><span id=\"MathJax-Span-40\" class=\"mrow\"><span id=\"MathJax-Span-41\" class=\"mo\">∼</span><span id=\"MathJax-Span-42\" class=\"mn\">0.15</span></span></span></span><span class=\"MJX_Assistive_MathML\">∼0.15</span></span></span><span>&nbsp;</span>and 4.0&nbsp;s after an adjustment accounting for a path bias at distances beyond 200&nbsp;km—this was the maximum distance used to derive the stress parameters on which the simulations in B18 are based. An additional offset adjustment is needed in the B18 predictions for short and long periods. The adjustment at short periods may be because the<span>&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>&amp;#x3BA;</mi><mn>0</mn></msub></math>\"><span id=\"MathJax-Span-43\" class=\"math\"><span><span id=\"MathJax-Span-44\" class=\"mrow\"><span id=\"MathJax-Span-45\" class=\"msub\"><span id=\"MathJax-Span-46\" class=\"mi\">κ</span><span id=\"MathJax-Span-47\" class=\"mn\">0</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">κ0</span></span></span><span>&nbsp;</span>of 0.006&nbsp;s stipulated by the Next Generation Attenuation‐East (NGA‐East) project to be used in deriving the GMPs is inconsistent with the observations on rock sites. The explanation for the offset adjustment at long periods is not clear, but it could be a combination of limitations of the point‐source stochastic model for longer period motions, as well as a decreasing number of observations at longer periods available to constrain the simulations on which the predictions are based.</p><p>The predictions of B18, developed for very‐hard‐rock sites (<span class=\"inline-formula no-formula-id\">⁠<span id=\"MathJax-Element-5-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>V</mi><mrow><mi>S</mi><mn>30</mn></mrow></msub></math>\"><span id=\"MathJax-Span-48\" class=\"math\"><span><span id=\"MathJax-Span-49\" class=\"mrow\"><span id=\"MathJax-Span-50\" class=\"msub\"><span id=\"MathJax-Span-51\" class=\"mi\">V</span><span id=\"MathJax-Span-52\" class=\"mrow\"><span id=\"MathJax-Span-53\" class=\"mi\">S</span><span id=\"MathJax-Span-54\" class=\"mn\">30</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">VS30</span></span></span><span>&nbsp;</span>of 2000 and<span>&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-6-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mn xmlns=&quot;&quot;>3000</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>m</mi><mo xmlns=&quot;&quot;>/</mo><mi xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>s</mi></math>\"><span id=\"MathJax-Span-55\" class=\"math\"><span><span id=\"MathJax-Span-56\" class=\"mrow\"><span id=\"MathJax-Span-57\" class=\"mn\">3000</span><span id=\"MathJax-Span-58\" class=\"mtext\">  </span><span id=\"MathJax-Span-59\" class=\"mi\">m</span><span id=\"MathJax-Span-60\" class=\"mo\">/</span><span id=\"MathJax-Span-61\" class=\"mi\">s</span></span></span></span><span class=\"MJX_Assistive_MathML\">3000  m/s</span></span>⁠</span>), have here been extended down to<span>&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-7-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>V</mi><mrow><mi>S</mi><mn>30</mn></mrow></msub></math>\"><span id=\"MathJax-Span-62\" class=\"math\"><span><span id=\"MathJax-Span-63\" class=\"mrow\"><span id=\"MathJax-Span-64\" class=\"msub\"><span id=\"MathJax-Span-65\" class=\"mi\">V</span><span id=\"MathJax-Span-66\" class=\"mrow\"><span id=\"MathJax-Span-67\" class=\"mi\">S</span><span id=\"MathJax-Span-68\" class=\"mn\">30</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">VS30</span></span></span><span>&nbsp;</span>values as low as<span>&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-8-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mn xmlns=&quot;&quot;>200</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>m</mi><mo xmlns=&quot;&quot;>/</mo><mi xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>s</mi></math>\"><span id=\"MathJax-Span-69\" class=\"math\"><span><span id=\"MathJax-Span-70\" class=\"mrow\"><span id=\"MathJax-Span-71\" class=\"mn\">200</span><span id=\"MathJax-Span-72\" class=\"mtext\">  </span><span id=\"MathJax-Span-73\" class=\"mi\">m</span><span id=\"MathJax-Span-74\" class=\"mo\">/</span><span id=\"MathJax-Span-75\" class=\"mi\">s</span></span></span></span><span class=\"MJX_Assistive_MathML\">200  m/s</span></span>⁠</span>. I find, as have others, that for a given<span>&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-9-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>V</mi><mrow><mi>S</mi><mn>30</mn></mrow></msub></math>\"><span id=\"MathJax-Span-76\" class=\"math\"><span><span id=\"MathJax-Span-77\" class=\"mrow\"><span id=\"MathJax-Span-78\" class=\"msub\"><span id=\"MathJax-Span-79\" class=\"mi\">V</span><span id=\"MathJax-Span-80\" class=\"mrow\"><span id=\"MathJax-Span-81\" class=\"mi\">S</span><span id=\"MathJax-Span-82\" class=\"mn\">30</span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">VS30</span></span>⁠</span>, there is generally less site amplification for central and eastern North America (CENA) than for the active crustal region dataset used for the<span>&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf15\">Boore, Stewart,<span>&nbsp;</span><i>et&nbsp;al.</i><span>&nbsp;</span>(2014</a>; hereafter, BSSA14) GMP equations. This might have an impact on conclusions of several previous studies of CENA GMPs that used the site amplifications in BSSA14 in comparing data and predictions.</p><p>An additional finding is that the<span>&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-10-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>&amp;#x3BA;</mi><mn>0</mn></msub></math>\"><span id=\"MathJax-Span-83\" class=\"math\"><span><span id=\"MathJax-Span-84\" class=\"mrow\"><span id=\"MathJax-Span-85\" class=\"msub\"><span id=\"MathJax-Span-86\" class=\"mi\">κ</span><span id=\"MathJax-Span-87\" class=\"mn\">0</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">κ0</span></span></span><span>&nbsp;</span>implied by recordings on a subset of stations in the Charlevoix region located on rock (data from these stations were not used in the analysis described earlier) is more consistent with a value near 0.014&nbsp;s than the 0.006&nbsp;s value used in B18 and the NGA‐East project.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190190","usgsCitation":"Boore, D., 2020, Revision of Boore (2018) Ground‐motion predictions for Central and Eastern North America: Path and offset adjustments and extension to 200 m/s <= Vs30 <= 3000 m/s: Seismological Research Letters, v. 91, no. 2A, p. 977-991, https://doi.org/10.1785/0220190190.","productDescription":"15 p.","startPage":"977","endPage":"991","ipdsId":"IP-108593","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":407128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100.546875,\n              24.367113562651262\n            ],\n            [\n              -65.7421875,\n              24.367113562651262\n            ],\n            [\n              -49.04296875,\n              53.64463782485651\n            ],\n            [\n              -101.6015625,\n              56.46249048388979\n            ],\n            [\n              -100.546875,\n              24.367113562651262\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"91","issue":"2A","noUsgsAuthors":false,"publicationDate":"2020-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Boore, David 0000-0002-8605-9673 boore@usgs.gov","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":140502,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":852477,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70208206,"text":"70208206 - 2020 - Caltech/USGS Southern California Seismic Network (SCSN) and Southern California Earthquake Data Center (SCEDC): Data availability for the 2019 Ridgecrest sequence","interactions":[],"lastModifiedDate":"2020-08-04T13:50:22.152668","indexId":"70208206","displayToPublicDate":"2020-01-22T06:47:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Caltech/USGS Southern California Seismic Network (SCSN) and Southern California Earthquake Data Center (SCEDC): Data availability for the 2019 Ridgecrest sequence","docAbstract":"The 2019 M6.4 and M7.1 Ridgecrest earthquake sequence occurred in the eastern California shear\nzone (ECSZ). The mainshock ruptured the Little Lake fault zone and aftershocks extended from\nthe Garlock fault in the south, to the southern end of the 1872 M7.5 Owens Valley earthquake\nrupture in the north. We present data from the Southern California Seismic Network (SCSN) and\npartner seismic networks recorded by the SCSN in the region. These time series data and related\nproducts such as the SCSN earthquake picks and catalogs, available from the Southern California\nEarthquake Data Center (SCEDC), provide the most comprehensive seismic datasets for the 2019\nRidgecrest earthquake sequence.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190290","usgsCitation":"Hauksson, E., Yoon, C., Yu, E., Andrews, J., Alvarez, M., Bhadha, R., and Thomas, V., 2020, Caltech/USGS Southern California Seismic Network (SCSN) and Southern California Earthquake Data Center (SCEDC): Data availability for the 2019 Ridgecrest sequence: Seismological Research Letters, v. 91, no. 4, p. 1961-1970, https://doi.org/10.1785/0220190290.","productDescription":"10 p.","startPage":"1961","endPage":"1970","ipdsId":"IP-112589","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":371783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Ridgecrest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.8338623046875,\n              35.47744667178578\n            ],\n            [\n              -117.50976562499999,\n              35.47744667178578\n            ],\n            [\n              -117.50976562499999,\n              35.68407153314097\n            ],\n            [\n              -117.8338623046875,\n              35.68407153314097\n            ],\n            [\n              -117.8338623046875,\n              35.47744667178578\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"91","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Hauksson, Egill","contributorId":198159,"corporation":false,"usgs":false,"family":"Hauksson","given":"Egill","email":"","affiliations":[],"preferred":false,"id":780946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yoon, Clara 0000-0003-4521-3889","orcid":"https://orcid.org/0000-0003-4521-3889","contributorId":222019,"corporation":false,"usgs":true,"family":"Yoon","given":"Clara","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":780945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yu, Ellen","contributorId":222020,"corporation":false,"usgs":false,"family":"Yu","given":"Ellen","email":"","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":780947,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andrews, Jennifer","contributorId":187764,"corporation":false,"usgs":false,"family":"Andrews","given":"Jennifer","affiliations":[],"preferred":false,"id":780948,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alvarez, Mark 0000-0002-1361-5616","orcid":"https://orcid.org/0000-0002-1361-5616","contributorId":222021,"corporation":false,"usgs":true,"family":"Alvarez","given":"Mark","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":780949,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bhadha, Rayo","contributorId":201877,"corporation":false,"usgs":false,"family":"Bhadha","given":"Rayo","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":780950,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thomas, Valerie 0000-0001-6170-5563","orcid":"https://orcid.org/0000-0001-6170-5563","contributorId":222022,"corporation":false,"usgs":true,"family":"Thomas","given":"Valerie","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":780951,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70208610,"text":"70208610 - 2020 - Estimating burn severity and carbon emissions from a megafire in boreal forests of China","interactions":[],"lastModifiedDate":"2020-02-21T06:44:48","indexId":"70208610","displayToPublicDate":"2020-01-22T06:43:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Estimating burn severity and carbon emissions from a megafire in boreal forests of China","docAbstract":"Wildfires, especially those of large size, worsen air quality and alter the carbon cycle through combustion of large quantities of biomass and release of carbon into the atmosphere. The Black Dragon fire, which occurred in 1987 in the boreal forests of China is among the top five of such megafires ever recorded in the world. With over 30 years of accumulation of data and availability of new greenhouse gas emission accounting methods, carbon emissions from this megafire can now be estimated with improved precision and greater spatial resolution. To do this, we combined field and remote sensing data to map four burn severity classes and calculated combustion efficiency in terms of the biomass immediately consumed in the fire. Results of the study showed that 1.30 million hectares burned and 52% of that area burned with high severity. The emitted carbon dioxide equivalents (CO2e), accounted for approximately 10% of total fossil fuel emissions from China in 1987, along with CO (2%–3% of annual anthropogenic CO emissions from China) and non-methane hydrocarbons (NMHC) contributing to the atmospheric pollutants. Our study provides an important basis for carbon emission estimation and understanding the impacts of megafires.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.136534","usgsCitation":"Xu, W., He, H.S., Hawbaker, T., Zhu, Z., and Henne, P., 2020, Estimating burn severity and carbon emissions from a megafire in boreal forests of China: Science of the Total Environment, v. 716, 136534, 10 p., https://doi.org/10.1016/j.scitotenv.2020.136534.","productDescription":"136534, 10 p.","ipdsId":"IP-104647","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":458055,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2020.136534","text":"Publisher Index Page"},{"id":437149,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P913N38G","text":"USGS data release","linkHelpText":"Pre-fire biomass, burn severity, biomass consumption, and fire perimeter data for the 1987 Black Dragon Fire in China"},{"id":372482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[110.33919,18.6784],[109.47521,18.1977],[108.65521,18.50768],[108.62622,19.36789],[109.11906,19.82104],[110.2116,20.10125],[110.78655,20.07753],[111.01005,19.69593],[110.57065,19.25588],[110.33919,18.6784]]],[[[127.65741,49.76027],[129.39782,49.4406],[130.58229,48.72969],[130.98728,47.79013],[132.50667,47.78897],[133.3736,48.18344],[135.02631,48.47823],[134.50081,47.57844],[134.11236,47.21247],[133.76964,46.11693],[133.09713,45.14407],[131.88345,45.32116],[131.02521,44.96795],[131.28856,44.11152],[131.14469,42.92999],[130.63387,42.90301],[130.64002,42.39501],[129.99427,42.98539],[129.59667,42.42498],[128.05222,41.99428],[128.20843,41.46677],[127.34378,41.50315],[126.86908,41.81657],[126.18205,41.10734],[125.07994,40.56982],[124.26562,39.92849],[122.86757,39.63779],[122.13139,39.17045],[121.05455,38.89747],[121.58599,39.36085],[121.37676,39.75026],[122.1686,40.42244],[121.64036,40.94639],[120.76863,40.59339],[119.6396,39.89806],[119.02346,39.25233],[118.04275,39.20427],[117.5327,38.73764],[118.0597,38.06148],[118.87815,37.89733],[118.91164,37.44846],[119.7028,37.15639],[120.82346,37.87043],[121.71126,37.48112],[122.35794,37.45448],[122.51999,36.93061],[121.10416,36.65133],[120.63701,36.11144],[119.66456,35.60979],[119.15121,34.90986],[120.22752,34.36033],[120.62037,33.37672],[121.22901,32.46032],[121.90815,31.69217],[121.89192,30.94935],[121.26426,30.67627],[121.50352,30.14291],[122.09211,29.83252],[121.93843,29.01802],[121.68444,28.22551],[121.12566,28.13567],[120.39547,27.05321],[119.5855,25.74078],[118.65687,24.54739],[117.28161,23.6245],[115.89074,22.78287],[114.76383,22.66807],[114.15255,22.22376],[113.80678,22.54834],[113.24108,22.05137],[111.84359,21.55049],[110.78547,21.39714],[110.44404,20.34103],[109.88986,20.28246],[109.62766,21.00823],[109.86449,21.39505],[108.52281,21.71521],[108.05018,21.55238],[107.04342,21.8119],[106.56727,22.2182],[106.7254,22.79427],[105.81125,22.97689],[105.32921,23.35206],[104.47686,22.81915],[103.50451,22.70376],[102.70699,22.7088],[102.17044,22.46475],[101.65202,22.3182],[101.80312,21.17437],[101.27003,21.20165],[101.18001,21.43657],[101.15003,21.84998],[100.41654,21.55884],[99.98349,21.74294],[99.2409,22.11831],[99.53199,22.94904],[98.89875,23.14272],[98.66026,24.06329],[97.60472,23.8974],[97.72461,25.08364],[98.67184,25.9187],[98.71209,26.74354],[98.68269,27.50881],[98.24623,27.74722],[97.91199,28.33595],[97.32711,28.26158],[96.24883,28.41103],[96.58659,28.83098],[96.11768,29.4528],[95.4048,29.03172],[94.56599,29.27744],[93.41335,28.64063],[92.50312,27.89688],[91.69666,27.77174],[91.25885,28.04061],[90.73051,28.06495],[90.01583,28.29644],[89.47581,28.04276],[88.81425,27.29932],[88.73033,28.08686],[88.12044,27.87654],[86.95452,27.97426],[85.82332,28.20358],[85.01164,28.64277],[84.23458,28.83989],[83.89899,29.32023],[83.33712,29.46373],[82.32751,30.11527],[81.5258,30.42272],[81.11126,30.18348],[79.72137,30.88271],[78.73889,31.51591],[78.45845,32.61816],[79.17613,32.48378],[79.20889,32.99439],[78.81109,33.5062],[78.91227,34.32194],[77.83745,35.49401],[76.19285,35.8984],[75.8969,36.66681],[75.15803,37.13303],[74.98,37.41999],[74.82999,37.99001],[74.86482,38.37885],[74.25751,38.60651],[73.92885,38.50582],[73.67538,39.43124],[73.96001,39.66001],[73.82224,39.89397],[74.77686,40.36643],[75.46783,40.56207],[76.52637,40.42795],[76.90448,41.06649],[78.1872,41.18532],[78.54366,41.58224],[80.11943,42.12394],[80.25999,42.35],[80.18015,42.92007],[80.86621,43.18036],[79.96611,44.91752],[81.94707,45.31703],[82.45893,45.53965],[83.18048,47.33003],[85.16429,47.00096],[85.72048,47.45297],[85.76823,48.45575],[86.59878,48.54918],[87.35997,49.21498],[87.75126,49.2972],[88.01383,48.59946],[88.8543,48.06908],[90.28083,47.69355],[90.97081,46.88815],[90.58577,45.71972],[90.94554,45.28607],[92.13389,45.11508],[93.48073,44.97547],[94.68893,44.35233],[95.30688,44.24133],[95.76245,43.31945],[96.3494,42.72564],[97.45176,42.74889],[99.51582,42.52469],[100.84587,42.6638],[101.83304,42.51487],[103.31228,41.90747],[104.52228,41.90835],[104.96499,41.59741],[106.12932,42.13433],[107.74477,42.48152],[109.2436,42.51945],[110.4121,42.87123],[111.12968,43.40683],[111.82959,43.74312],[111.66774,44.07318],[111.34838,44.45744],[111.87331,45.10208],[112.43606,45.01165],[113.46391,44.80889],[114.46033,45.33982],[115.9851,45.72724],[116.71787,46.3882],[117.4217,46.67273],[118.87433,46.80541],[119.66327,46.69268],[119.77282,47.04806],[118.86657,47.74706],[118.06414,48.06673],[117.29551,47.69771],[116.30895,47.85341],[115.74284,47.72654],[115.48528,48.13538],[116.1918,49.1346],[116.6788,49.88853],[117.87924,49.51098],[119.28846,50.14288],[119.27937,50.58291],[120.18205,51.64357],[120.73819,51.96412],[120.72579,52.51623],[120.17709,52.7538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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Xu, Wenru","contributorId":222616,"corporation":false,"usgs":false,"family":"Xu","given":"Wenru","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":782713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"He, Hong S","contributorId":218764,"corporation":false,"usgs":false,"family":"He","given":"Hong","email":"","middleInitial":"S","affiliations":[{"id":39904,"text":"University of Missouri, School of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":782714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":222615,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":782712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhu, Zhiliang 0000-0002-6860-6936","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":222617,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":false,"id":782715,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Henne, Paul 0000-0003-1211-5545 phenne@usgs.gov","orcid":"https://orcid.org/0000-0003-1211-5545","contributorId":222618,"corporation":false,"usgs":true,"family":"Henne","given":"Paul","email":"phenne@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":782716,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208009,"text":"70208009 - 2020 - Advanced biofilm analysis in streams receiving organic deicer runoff","interactions":[],"lastModifiedDate":"2020-01-24T06:36:46","indexId":"70208009","displayToPublicDate":"2020-01-22T06:34:56","publicationYear":"2020","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":"Advanced biofilm analysis in streams receiving organic deicer runoff","docAbstract":"Prolific heterotrophic biofilm growth is a common occurrence in airport receiving streams containing deicers and anti-icers, which are composed of low-molecular weight organic compounds. This study investigated biofilm spatiotemporal patterns and responses to concurrent and antecedent (i.e., preceding biofilm sampling) environmental conditions at stream sites upstream and downstream from Milwaukee Mitchell International Airport in Milwaukee, Wisconsin, during two deicing seasons (2009–2010; 2010–2011). Biofilm abundance and community composition were investigated along spatial and temporal gradients using field surveys and microarray analyses, respectively. Given the recognized role of Sphaerotilus in organically enriched environments, additional analyses were pursued to specifically characterize its abundance: a consensus sthA sequence was determined via comparison of whole metagenome sequences with a previously identified sthA sequence, the primers developed for this gene were used to characterize relative Sphaerotilus abundance using quantitative real-time PCR, and a Sphaerotilus strain was isolated to validate the determined sthA sequence. Results indicated that biofilm abundance was stimulated by elevated antecedent chemical oxygen demand concentrations, a surrogate for deicer concentrations, with minimal biofilm volumes observed when antecedent chemical oxygen demand concentrations remained below 48 mg/L. Biofilms were composed of diverse communities (including sheathed bacterium Thiothrix) whose composition appeared to shift in relation to antecedent temperature and chemical oxygen demand. The relative abundance of sthA correlated most strongly with heterotrophic biofilm volume (positive) and dissolved oxygen (negative), indicating that Sphaerotilus was likely a consistent biofilm member and thrived under low oxygen conditions. Additional investigations identified the isolate as a new strain of Sphaerotilus montanus (strain KMKE) able to use deicer components as carbon sources and found that stream dissolved oxygen concentrations related inversely to biofilm volume as well as to antecedent temperature and chemical oxygen demand. The airport setting provides insight into potential consequences of widescale adoption of organic deicers for roadway deicing.","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0227567","usgsCitation":"Nott, M., Driscoll, H.E., Takeda, M., Vangala, M., Corsi, S., and Tighe, S.W., 2020, Advanced biofilm analysis in streams receiving organic deicer runoff: PLoS ONE, v. 15, no. 1, 27 p., https://doi.org/10.1371/journal.pone.0227567.","productDescription":"27 p.","ipdsId":"IP-082482","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":458058,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0227567","text":"Publisher Index Page"},{"id":371510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin ","city":"Milwaukee","otherGeospatial":"Mitchell International Airport","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.93319702148438,\n              42.91670930118165\n            ],\n            [\n              -87.86212921142578,\n              42.91670930118165\n            ],\n            [\n              -87.86212921142578,\n              42.97325518954874\n            ],\n            [\n              -87.93319702148438,\n              42.97325518954874\n            ],\n            [\n              -87.93319702148438,\n              42.91670930118165\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Nott, Michelle A","contributorId":221760,"corporation":false,"usgs":true,"family":"Nott","given":"Michelle A","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Driscoll, Heather E. 0000-0002-3772-9933","orcid":"https://orcid.org/0000-0002-3772-9933","contributorId":221761,"corporation":false,"usgs":false,"family":"Driscoll","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":40420,"text":"Vermont Genetics Network, Department of Biology, Norwich University, Northfield, Vermont 05663 United States","active":true,"usgs":false}],"preferred":false,"id":780137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Takeda, Minoru 0000-0003-0554-3306","orcid":"https://orcid.org/0000-0003-0554-3306","contributorId":221762,"corporation":false,"usgs":false,"family":"Takeda","given":"Minoru","email":"","affiliations":[{"id":40421,"text":"Graduate School of Engineering, Yokohama National University, 79-5 Tokiwadai, Hodogaya, Yokohama 240-8501, Japan","active":true,"usgs":false}],"preferred":false,"id":780138,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vangala, Mahesh 0000-0002-7761-7514","orcid":"https://orcid.org/0000-0002-7761-7514","contributorId":221763,"corporation":false,"usgs":false,"family":"Vangala","given":"Mahesh","email":"","affiliations":[{"id":40422,"text":"Data Sciences and Technology, University of Massachusetts Medical School, Worcester, Massachusetts 01655 United States","active":true,"usgs":false}],"preferred":false,"id":780139,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corsi, Steven","contributorId":221764,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780140,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tighe, Scott W. 0000-0002-3988-0741","orcid":"https://orcid.org/0000-0002-3988-0741","contributorId":221765,"corporation":false,"usgs":false,"family":"Tighe","given":"Scott","email":"","middleInitial":"W.","affiliations":[{"id":40423,"text":"Advanced Genome Technologies Core, University of Vermont, Burlington, Vermont 05405 United States","active":true,"usgs":false}],"preferred":false,"id":780141,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70209562,"text":"70209562 - 2020 - An experimental investigation of interaction between andesite and hyperacidic volcanic lake water","interactions":[],"lastModifiedDate":"2020-04-14T11:42:10.464524","indexId":"70209562","displayToPublicDate":"2020-01-22T06:31:04","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5207,"text":"Minerals","active":true,"publicationSubtype":{"id":10}},"title":"An experimental investigation of interaction between andesite and hyperacidic volcanic lake water","docAbstract":"Alteration in magmatic-hydrothermal systems leads to distinct changes in rock texture and mineralogy, and a strong redistribution of elements between fluid and rock. Here, we experimentally interacted andesite scoria with hyperacidic, high-sulfidation style fluids from Kawah Ijen volcano (Indonesia) at 25 and 100˚C, seeking to reproduce the textures observed in natural samples from this volcano, and to understand the element fluxes that accompany alteration. The susceptibility to alteration in the experiments is Cu-Fe-sulphide > calcic plagioclase > pyroxene > titano-magnetite > sodic plagioclase, with complete preservation of glass. Silicate minerals alter to opaline silica, and gypsum, barite and a Zr-phase precipitate. The selective alteration of the phenocryst minerals results in a preferential release of compatible elements, as the glass is the main incompatible element host. The experiments reproduce the alteration textures of the natural samples, including the preservation of glass, but the predicted compatible over incompatible element enrichment in the alteration element flux is not observed in the natural setting. This suggests that alteration at Kawah Ijen is dominated by lithologies that lack abundant glass, in particular lava flows where the glass has devitrified, despite these lava flows having a lower surface area compared to scoria.","language":"English","publisher":"MDPI","doi":"10.3390/min10020096","collaboration":"","usgsCitation":"van Hinsberg, V., Berlo, K., and Lowenstern, J.B., 2020, An experimental investigation of interaction between andesite and hyperacidic volcanic lake water: Minerals, v. 10, no. 2, https://doi.org/10.3390/min10020096.","productDescription":"96, 26 p.","startPage":"","ipdsId":"IP-114208","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":458062,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/min10020096","text":"Publisher Index Page"},{"id":373941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Indonesia ","otherGeospatial":"Kawah Ijen","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              113.15917968749999,\n              -9.00445156167208\n            ],\n            [\n              114.697265625,\n              -9.00445156167208\n            ],\n            [\n              114.697265625,\n              -7.438730529686968\n            ],\n            [\n              113.15917968749999,\n              -7.438730529686968\n            ],\n            [\n              113.15917968749999,\n              -9.00445156167208\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"van Hinsberg, Vincent ","contributorId":224054,"corporation":false,"usgs":false,"family":"van Hinsberg","given":"Vincent ","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":786891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berlo, Kim","contributorId":224055,"corporation":false,"usgs":false,"family":"Berlo","given":"Kim","email":"","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":786892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":786893,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208340,"text":"70208340 - 2020 - Fire history across forest types in the southern Beartooth Mountains, Wyoming","interactions":[],"lastModifiedDate":"2020-02-04T17:57:16","indexId":"70208340","displayToPublicDate":"2020-01-21T17:26:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3650,"text":"Tree-Ring Research","onlineIssn":"2162-4585","printIssn":"1536-1098","active":true,"publicationSubtype":{"id":10}},"title":"Fire history across forest types in the southern Beartooth Mountains, Wyoming","docAbstract":"<p><span>Fire is a critical ecosystem process that has played a key role in shaping forests throughout the Beartooth Mountains in northwestern Wyoming. The highly variable topography of the area provides ideal conditions to compare fire regimes across contiguous forest types, yet pyro-dendrochronological research in this area is limited. We reconstructed fire frequency, tree age structure, and post-fire tree growth response in the Clarks Fork Ranger District of the Shoshone National Forest to infer variations in historical fire behavior and stand effects. We collected fire-scarred trees and plot-based tree ages on plots ranging 0.5-5 km</span><sup>2</sup><span>&nbsp;in size across two forest types separated by 2 km: a lower-elevation forest of mixed Douglas-fir and lodgepole pine and a higher elevation treeline forest dominated by whitebark pine. Fires occurred in the lower-elevation forest in 1664, 1706, 1785, 1804, 1846, and 1900 with a mean fire return interval of 47 years. The fires in 1804 and 1900 were also recorded in the higher elevation forest, with significant tree mortality at high elevation in the 1900 fire. Both forests were multi-aged with little evidence of tree cohorts in response to severe, stand-replacing events. On average, tree growth increased after fires, with mean ring widths after fire 39% wider in Douglas-fir and 40% wider in lodgepole pine than pre-fire averages, suggesting that some tree mortality likely occurred in association with lower-elevation forest fires. Burns were more frequent in the lower-elevation forest and were occasionally able to spread into the upper-elevation whitebark stand. Although we suspect the transition of fires from low-to high-elevation occurred during drier years, we did not find any relationship between fire years and available climatic reconstructions via superposed epoch analysis. Regeneration during the 20</span><sup>th</sup><span>&nbsp;Century in the whitebark forest documents recovery of this forest after the 1900 moderate-severity fire event. Finally, especially in the lower-elevation Douglas-fir forest, the period since the last recorded fire (1900) appears to be longer than any fire-free period in the historical record, suggesting that fire exclusion may be creating changes in landscape and patch-scale stand structures, which will likely impact future fire behavior, especially the extent of crown-replacing fire, in these forests.</span></p>","language":"English","publisher":"BioONE","doi":"10.3959/TRR2018-11","usgsCitation":"Brown, S., Baysinger, A., Brown, P.M., Cheek, J.L., Diez, J.M., Gentry, C.M., Grant, T.A., St-Jacques, J., Jordan, D., Leef, M.L., Rourke, M.K., Speer, J.H., Spradlin, C.E., Stevens, J., Stone, J.R., Van Winkle, B., and Zeibig-Kichas, N.E., 2020, Fire history across forest types in the southern Beartooth Mountains, Wyoming: Tree-Ring Research, v. 76, no. 1, p. 27-39, https://doi.org/10.3959/TRR2018-11.","productDescription":"13 p.","startPage":"27","endPage":"39","ipdsId":"IP-107650","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":372047,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Southern Beartooth Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.66260910034178,\n              44.880201241509404\n            ],\n            [\n              -109.60287094116211,\n              44.880201241509404\n            ],\n            [\n              -109.60287094116211,\n              44.949735226126776\n            ],\n            [\n              -109.66260910034178,\n              44.949735226126776\n            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M.","contributorId":81422,"corporation":false,"usgs":true,"family":"Brown","given":"Peter","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":781489,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheek, Justin L.","contributorId":222197,"corporation":false,"usgs":false,"family":"Cheek","given":"Justin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":781490,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diez, Jeffrey M.","contributorId":169803,"corporation":false,"usgs":false,"family":"Diez","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":781491,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gentry, Christopher M.","contributorId":222198,"corporation":false,"usgs":false,"family":"Gentry","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":781492,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grant, Thomas A.","contributorId":222199,"corporation":false,"usgs":false,"family":"Grant","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":781493,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"St-Jacques, Jeannine-Marie","contributorId":197562,"corporation":false,"usgs":false,"family":"St-Jacques","given":"Jeannine-Marie","email":"","affiliations":[],"preferred":false,"id":781494,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jordan, David A.","contributorId":222200,"corporation":false,"usgs":false,"family":"Jordan","given":"David A.","affiliations":[],"preferred":false,"id":781495,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Leef, Morgan L.","contributorId":222201,"corporation":false,"usgs":false,"family":"Leef","given":"Morgan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":781496,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rourke, Mary K.","contributorId":222202,"corporation":false,"usgs":false,"family":"Rourke","given":"Mary","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":781497,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Speer, James H.","contributorId":222203,"corporation":false,"usgs":false,"family":"Speer","given":"James","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":781498,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Spradlin, Carrie E.","contributorId":222204,"corporation":false,"usgs":false,"family":"Spradlin","given":"Carrie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":781499,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Stevens, Jens 0000-0002-2234-1960","orcid":"https://orcid.org/0000-0002-2234-1960","contributorId":222191,"corporation":false,"usgs":true,"family":"Stevens","given":"Jens","email":"","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":781480,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Stone, Jeffery R.","contributorId":222205,"corporation":false,"usgs":false,"family":"Stone","given":"Jeffery","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":781500,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Van Winkle, Brian","contributorId":222206,"corporation":false,"usgs":false,"family":"Van Winkle","given":"Brian","email":"","affiliations":[],"preferred":false,"id":781501,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Zeibig-Kichas, Nickolas E.","contributorId":222207,"corporation":false,"usgs":false,"family":"Zeibig-Kichas","given":"Nickolas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":781502,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70217216,"text":"70217216 - 2020 - Recent evaluation of corbicula form D distribution in the Midwest, U.S.A","interactions":[],"lastModifiedDate":"2021-01-25T17:00:24.295695","indexId":"70217216","displayToPublicDate":"2020-01-21T10:56:18","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5153,"text":"The American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Recent evaluation of corbicula form D distribution in the Midwest, U.S.A","docAbstract":"<p><span>The genus&nbsp;</span><i>Corbicula</i><span>&nbsp;contains one of the most common and successful aquatic invasive species to North America. Prior to 2015 two predominant species of&nbsp;</span><i>Corbicula</i><span>&nbsp;were known from the United States—</span><i>C. fluminea</i><span>&nbsp;and&nbsp;</span><i>C. largillierti</i><span>, referred to as Forms A and B, respectively. Form A has spread throughout most of the U.S., while Form B is mainly contained in the Midwest and southern U.S. In 2015 a novel&nbsp;</span><i>Corbicula</i><span>, known as Form D, was discovered in the Illinois River, at Marseilles, Illinois, and was later reported from the Ohio River. Our primary objective for this study was to report additional records of Form D, with a focus on the upper Illinois River watershed. Surveys during summer 2017 verified the presence of Form D in the Tennessee and Mississippi rivers, as well as multiple new locations in the Des Plaines and Illinois rivers, where all three&nbsp;</span><i>Corbicula</i><span>&nbsp;forms co-exist.</span></p>","language":"English","publisher":"BioOne","doi":"10.1637/19-034","usgsCitation":"Douglass, S., Reasor, E., Tiemann, J., Stodola, A., McMurray, S.E., and Poulton, B.C., 2020, Recent evaluation of corbicula form D distribution in the Midwest, U.S.A: The American Midland Naturalist, v. 183, no. 1, p. 136-142, https://doi.org/10.1637/19-034.","productDescription":"7 p.","startPage":"136","endPage":"142","ipdsId":"IP-108298","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":382108,"type":{"id":15,"text":"Index Page"},"url":"https://bioone.org/journals/the-american-midland-naturalist/volume-183/issue-1/19-034/Recent-Evaluation-of-Corbicula-Form-D-Distribution-in-the-Midwest/10.1637/19-034.full"},{"id":382556,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, kentucky, Missouri, Ohio, Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.5048828125,\n              35.94243575255426\n            ],\n            [\n              -82.15576171875,\n              35.94243575255426\n            ],\n            [\n              -82.15576171875,\n              42.032974332441405\n            ],\n            [\n              -92.5048828125,\n              42.032974332441405\n            ],\n            [\n              -92.5048828125,\n              35.94243575255426\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"183","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Douglass, Sarah","contributorId":247623,"corporation":false,"usgs":false,"family":"Douglass","given":"Sarah","email":"","affiliations":[{"id":24804,"text":"Illinois Natural History Survey, Prairie Research Institute, University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":808052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reasor, Emily","contributorId":247626,"corporation":false,"usgs":false,"family":"Reasor","given":"Emily","email":"","affiliations":[{"id":49602,"text":"Virginia Tech Shorebird Program, Department of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":808053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tiemann, Jeremy S.","contributorId":229785,"corporation":false,"usgs":false,"family":"Tiemann","given":"Jeremy S.","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":808054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stodola, Alison","contributorId":247627,"corporation":false,"usgs":false,"family":"Stodola","given":"Alison","email":"","affiliations":[{"id":24804,"text":"Illinois Natural History Survey, Prairie Research Institute, University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":808055,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McMurray, Stephen E.","contributorId":206918,"corporation":false,"usgs":false,"family":"McMurray","given":"Stephen","email":"","middleInitial":"E.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":808056,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poulton, Barry C. 0000-0002-7219-4911 bpoulton@usgs.gov","orcid":"https://orcid.org/0000-0002-7219-4911","contributorId":2421,"corporation":false,"usgs":true,"family":"Poulton","given":"Barry","email":"bpoulton@usgs.gov","middleInitial":"C.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":808057,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70228142,"text":"70228142 - 2020 - Looking at the bigger picture: How abundance of nesting and brooding habitat influences lek-site selection by Lesser Prairie-Chickens","interactions":[],"lastModifiedDate":"2022-02-07T14:22:56.251573","indexId":"70228142","displayToPublicDate":"2020-01-21T10:30:53","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Looking at the bigger picture: How abundance of nesting and brooding habitat influences lek-site selection by Lesser Prairie-Chickens","docAbstract":"<p><span>Lesser Prairie-Chicken (<i>Tympanuchus pallidicinctus</i>) populations have declined throughout most of their distribution since the mid-1980s. These declines are largely attributed to loss of habitat through the conversion and expansion of cropland, construction of oil wells and other anthropogenic features on the landscape, and grazing intensification. Changes in habitat availability and quality are seemingly having a disproportionate effect on the reproductive habitat of Lesser Prairie-Chickens, as some populations continue to decline. Nest and brood survival are crucial to population growth of Lesser Prairie-Chickens, with adequate reproductive habitat vital to population persistence. To better understand the influence of reproductive habitat availability on populations, we quantified the composition of reproductive habitat in lek landscapes across the northern extent of the Lesser Prairie-Chicken range. We measured vegetation at six study sites in Kansas and Colorado from 2013–2016. We sought to quantify available nest and brooding habitat adjacent to leks, investigate the relationship between reproductive habitat availability and lek attendance by males at several spatial scales, and examine vegetation characteristics that influence lek attendance. Within 5 km of a lek, 25% (2546/10,320 points) and 26% (2682/10,320 points) of random locations provided nesting and brooding habitat, respectively. Changes to reproductive habitat at both scales affected male attendance at leks. Visual obstruction of vegetation was the main predictor of male lek attendance at both spatial scales and limited the amount of reproductive habitat in lek landscapes. Accordingly, management should increase visual obstruction throughout the Lesser Prairie-Chicken range to increase reproductive success and improve populations to facilitate achieving the conservation goal set by the Western Association of Fish and Wildlife Agencies of a 10 y average Lesser Prairie-Chicken population of 67,000 birds.</span></p>","language":"English","publisher":"University of Notre Dame","doi":"10.1637/19-020","usgsCitation":"Gehrt, J.M., Sullins, D.S., and Haukos, D.A., 2020, Looking at the bigger picture: How abundance of nesting and brooding habitat influences lek-site selection by Lesser Prairie-Chickens: American Midland Naturalist, v. 183, no. 1, p. 52-77, https://doi.org/10.1637/19-020.","productDescription":"26 p.","startPage":"52","endPage":"77","ipdsId":"IP-106539","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395437,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://bioone.org/journals/the-american-midland-naturalist/volume-183/issue-1/19-020/Looking-at-the-Bigger-Picture--How-Abundance-of-Nesting/10.1637/19-020.full"}],"country":"United States","state":"Colorado, Kansas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.90869140625,\n              37.02886944696474\n            ],\n            [\n              -98.646240234375,\n              37.02886944696474\n            ],\n            [\n              -98.646240234375,\n              39.985538414809746\n            ],\n            [\n              -103.90869140625,\n              39.985538414809746\n            ],\n            [\n              -103.90869140625,\n              37.02886944696474\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"183","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gehrt, Jacquelyn M.","contributorId":274667,"corporation":false,"usgs":false,"family":"Gehrt","given":"Jacquelyn","email":"","middleInitial":"M.","affiliations":[{"id":48533,"text":"ksu","active":true,"usgs":false}],"preferred":false,"id":833208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullins, Daniel S.","contributorId":166689,"corporation":false,"usgs":false,"family":"Sullins","given":"Daniel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":833209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833210,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70212638,"text":"70212638 - 2020 - Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard forecasts: Hawaii tectonic earthquakes and volcanic eruptions","interactions":[],"lastModifiedDate":"2020-08-26T21:35:46.52194","indexId":"70212638","displayToPublicDate":"2020-01-21T09:30:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard forecasts: Hawaii tectonic earthquakes and volcanic eruptions","docAbstract":"<p><span>The selection and weighting of ground‐motion models (GMMs) introduces a significant source of uncertainty in U.S. Geological Survey (USGS) National Seismic Hazard Modeling Project (NSHMP) forecasts. In this study, we evaluate 18 candidate GMMs using instrumental ground‐motion observations of horizontal peak ground acceleration (PGA) and 5%‐damped pseudospectral acceleration (0.02–10&nbsp;s) for tectonic earthquakes and volcanic eruptions, to inform logic‐tree weights for the update of the USGS seismic hazard model for Hawaii. GMMs are evaluated using two methods. The first is a total residual visualization approach that compares the probability density function (PDF), mean and standard deviations </span><i><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi xmlns=&quot;&quot;>&amp;#x3C3;</mi></math>\"><span class=\"MJX_Assistive_MathML\">σ</span></span>⁠</span></i><span>, of the observed and predicted ground motion. The second GMM evaluation method we use is the common total residual probabilistic scoring method (log likelihood [LLH]). The LLH method provides a single score that can be used to weight GMMs in the Hawaii seismic hazard model logic trees. The total residual PDF approach provides additional information by preserving GMM over‐ and underprediction across a broad spectrum of periods that is not available from a single value LLH score. We apply these GMM evaluation methods to two different data sets: (1)&nbsp;a database of instrumental ground motions from historic earthquakes in Hawaii from 1973 to 2007 (</span><span class=\"inline-formula no-formula-id\">⁠<span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-4\" class=\"math\"><span><span id=\"MathJax-Span-5\" class=\"mrow\"><span id=\"MathJax-Span-6\" class=\"msub\"><span id=\"MathJax-Span-7\" class=\"mi\">M</span><sub><span id=\"MathJax-Span-8\" class=\"mi\">w</span></sub></span></span></span></span></span></span><span>&nbsp;4–7.3) and (2) available ground motions from recent earthquakes (</span><span class=\"inline-formula no-formula-id\">⁠<span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-9\" class=\"math\"><span><span id=\"MathJax-Span-10\" class=\"mrow\"><span id=\"MathJax-Span-11\" class=\"msub\"><span id=\"MathJax-Span-12\" class=\"mi\">M</span><sub><span id=\"MathJax-Span-13\" class=\"mi\">w</span></sub></span></span></span></span></span></span><span>&nbsp;4–6.9) associated with 2018 Kilauea eruptions. The 2018 Kilauea sequence contains both volcanic eruptions and tectonic earthquakes allowing for statistically significant GMM comparisons of the two event classes. The Kilauea ground observations provide an independent data set allowing us to evaluate the predictive power of GMMs implemented in the new USGS nshmp‐haz software system. We evaluate GMM performance as a function of earthquake depth and we demonstrate that short‐period volcanic eruption ground motions are not well predicted by any candidate GMMs. Nine of the initial 18 candidate GMMs fit the observed ground motions and meet established criteria for inclusion in the update of the Hawaii seismic hazard model. A weighted mean of four top performing GMMs in this study (NGAsubslab, NGAsubinter, ASK14, A10) is 50% lower for PGA than for GMMS used in the previous USGS seismic hazard model for Hawaii.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120180336","usgsCitation":"McNamara, D.E., Wolin, E., Powers, P.M., Shumway, A., Moschetti, M.P., Rekoske, J., Thompson, E.M., Mueller, C., and Petersen, M.D., 2020, Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard forecasts: Hawaii tectonic earthquakes and volcanic eruptions: Bulletin of the Seismological Society of America, v. 110, no. 2, p. 666-688, https://doi.org/10.1785/0120180336.","productDescription":"23 p.","startPage":"666","endPage":"688","ipdsId":"IP-113666","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":437150,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VXB1U6","text":"USGS data release","linkHelpText":"Database of ground motions from tectonic and volcanic events, Hawaii, 2018"},{"id":377922,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -154.896240234375,\n              19.94236918954201\n            ],\n            [\n              -156.32446289062497,\n              21.135745255030603\n            ],\n            [\n              -158.18115234375,\n              21.912470952680266\n            ],\n            [\n              -159.774169921875,\n              22.50240745949775\n            ],\n            [\n              -160.5322265625,\n              21.87169463514272\n            ],\n            [\n              -160.301513671875,\n              21.70847301324597\n            ],\n            [\n              -157.862548828125,\n              20.879342971957897\n            ],\n            [\n              -156.346435546875,\n              20.117839630491634\n            ],\n            [\n              -156.126708984375,\n              18.885497977462876\n            ],\n            [\n              -155.599365234375,\n              18.594188856740413\n            ],\n            [\n              -154.522705078125,\n              19.37334071336406\n            ],\n            [\n              -154.896240234375,\n              19.94236918954201\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"110","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"McNamara, Daniel E. 0000-0001-6860-0350 mcnamara@usgs.gov","orcid":"https://orcid.org/0000-0001-6860-0350","contributorId":402,"corporation":false,"usgs":true,"family":"McNamara","given":"Daniel","email":"mcnamara@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolin, Emily 0000-0003-1610-1191","orcid":"https://orcid.org/0000-0003-1610-1191","contributorId":221834,"corporation":false,"usgs":true,"family":"Wolin","given":"Emily","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":797192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powers, Peter M. 0000-0003-2124-6184 pmpowers@usgs.gov","orcid":"https://orcid.org/0000-0003-2124-6184","contributorId":176814,"corporation":false,"usgs":true,"family":"Powers","given":"Peter","email":"pmpowers@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shumway, Allison 0000-0003-1142-7141 ashumway@usgs.gov","orcid":"https://orcid.org/0000-0003-1142-7141","contributorId":147862,"corporation":false,"usgs":true,"family":"Shumway","given":"Allison","email":"ashumway@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797194,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797195,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rekoske, John 0000-0003-0539-2069","orcid":"https://orcid.org/0000-0003-0539-2069","contributorId":220108,"corporation":false,"usgs":true,"family":"Rekoske","given":"John","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797196,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797197,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mueller, Charles 0000-0002-1868-9710 cmueller@usgs.gov","orcid":"https://orcid.org/0000-0002-1868-9710","contributorId":140380,"corporation":false,"usgs":true,"family":"Mueller","given":"Charles","email":"cmueller@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":797198,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797199,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70219058,"text":"70219058 - 2020 - A chemo-mechanical snapshot of in-situ conversion of kerogen to petroleum","interactions":[],"lastModifiedDate":"2021-03-23T14:24:37.492705","indexId":"70219058","displayToPublicDate":"2020-01-21T09:18:08","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"A chemo-mechanical snapshot of in-situ conversion of kerogen to petroleum","docAbstract":"<p><span>Organic matter (OM) from various biogenic origins converts to solid bitumen&nbsp;</span><i>in-situ</i><span>&nbsp;when it undergoes thermal maturation. It is well documented that during this process, the ratios of both hydrogen and oxygen to carbon will decrease, resulting in an increase in OM aromaticity and molecular chemo-mechanical homogeneity. Although there have been extensive efforts to reveal molecular alteration occurring to OM during conversion,&nbsp;</span><i>in-situ</i><span>&nbsp;and continuous observation of such alterations on naturally occurring samples is missing. Therefore, evaluation of previous results cannot be made independent from natural sample variability. In this study, we identified OM particles (</span><i>Tasmanites</i><span>) that are evolving&nbsp;</span><i>in-situ</i><span>&nbsp;into solid bitumen in the Bakken Formation. This&nbsp;</span><i>in-situ</i><span>&nbsp;bituminization allows examination of a continuous transformation in OM molecular structure at micron-scale using AFM based IR spectroscopy applied at the transition/interface zone. Moreover, contact mode in the AFM was employed to reveal and relate changes in mechanical properties at a similar scale of measurement. Understanding these chemical and mechanical alterations is important to understand shale reservoir properties and better explain hydrocarbon generation, expulsion, and migration processes at the microscale.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2020.01.019","usgsCitation":"Abarghani, A., Ostadhassan, M., Hackley, P.C., Pomerantz, A.E., and Nejati, S., 2020, A chemo-mechanical snapshot of in-situ conversion of kerogen to petroleum: Geochimica et Cosmochimica Acta, v. 273, p. 37-50, https://doi.org/10.1016/j.gca.2020.01.019.","productDescription":"14 p.","startPage":"37","endPage":"50","ipdsId":"IP-108324","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":458069,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2020.01.019","text":"Publisher Index Page"},{"id":384580,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"273","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Abarghani, Arash","contributorId":255576,"corporation":false,"usgs":false,"family":"Abarghani","given":"Arash","email":"","affiliations":[{"id":17628,"text":"University of North Dakota","active":true,"usgs":false}],"preferred":false,"id":812623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ostadhassan, Mehdi","contributorId":255578,"corporation":false,"usgs":false,"family":"Ostadhassan","given":"Mehdi","email":"","affiliations":[{"id":17628,"text":"University of North Dakota","active":true,"usgs":false}],"preferred":false,"id":812624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":812625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pomerantz, Andrew E.","contributorId":173943,"corporation":false,"usgs":false,"family":"Pomerantz","given":"Andrew","email":"","middleInitial":"E.","affiliations":[{"id":27322,"text":"Schlumberger-Doll Research","active":true,"usgs":false}],"preferred":false,"id":812626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nejati, Siamak","contributorId":255579,"corporation":false,"usgs":false,"family":"Nejati","given":"Siamak","email":"","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":812627,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70209282,"text":"70209282 - 2020 - Antimony mobility during the early stages of stibnite weathering in tailings at the Beaver Brook Sb deposit, Newfoundland","interactions":[],"lastModifiedDate":"2020-03-27T07:26:19","indexId":"70209282","displayToPublicDate":"2020-01-21T07:23:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Antimony mobility during the early stages of stibnite weathering in tailings at the Beaver Brook Sb deposit, Newfoundland","docAbstract":"The aqueous speciation and mineralogy of antimony (Sb) in waters and tailings at Beaver Brook antimony deposit have been analyzed to understand Sb mobility during the initial stages of stibnite (Sb2S3) weathering in a near-surface environment. Dissolution of stibnite in oxidizing conditions releases Sb in drainage water and Sb is incorporated into the mineral structures of several secondary minerals. The most abundant Sb host in Beaver Brook tailings is primary stibnite, which dissolves, releasing Sb(III) to the pore water which rapidly oxidizes to Sb¬(V). The maximum concentration of Sb in tailings pore water is 26.4 mg/L and only 0.9% is in form of Sb(III). In all surface water, Sb concentration ranges from 0.01 to 26.1 mg/L (average 9.4 mg/L) and is mostly present in its Sb(V) (98.9 to 99.2 % of total Sb). The secondary minerals containing Sb formed in tailings impoundment, include tripuhyite-like Sb-Fe oxides (FeSbO4) where Sb is an important part of their structure with variable Fe/Sb ratios and Sb concentrations of up to 37.8% by weight (average of 21.7%). These are important Sb host phases in the top 30 cm of tailings. Iron oxides enriched in Sb, such as goethite (FeOOH), where Sb (average of 3.9% by weight) is adsorbed or incorporated in the structure are common but represent less than 1.3 % of the total mass of Sb. The elevated Mg concentrations in tailing ponds and pore water promote the precipitation of brandholzite (Mg[Sb(OH)6]2·6H2O) (in association with gypsum) during dry periods, which is easily dissolved during rainy periods. Brandholzite dissolution may significantly contribute to the concentration of dissolved Sb, together with stibnite dissolution, whereas Sb-Fe oxides are stable in the neutral pH, oxidized surface environment. Arsenic (As) accompanies Sb in all media but its behaviour differs from that of Sb. The source of As is arsenopyrite, which decomposes more slowly than stibnite. This may be due to the formation of oxidation rims on arsenopyrite grains composed of Fe, As, S, Sb and Ca which slow the dissolution, whereas no rims are seen on stibnite. Also, despite similar As and Sb concentration in bulk tailings, the concentration of Sb in drainage water is higher than that of As. In pore water, As(III) is the dominant oxidation state of As suggesting that the oxidation of dissolved As is slower than that of Sb.","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2020.104528","usgsCitation":"Radkova, A.B., Jamieson, H.E., and Campbell, K.M., 2020, Antimony mobility during the early stages of stibnite weathering in tailings at the Beaver Brook Sb deposit, Newfoundland: Applied Geochemistry, v. 115, 104528, 12 p., https://doi.org/10.1016/j.apgeochem.2020.104528.","productDescription":"104528, 12 p.","ipdsId":"IP-114140","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":458070,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2020.104528","text":"Publisher Index Page"},{"id":373564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Newfoundland","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -60.1171875,\n              46.98025235521883\n            ],\n            [\n              -51.328125,\n              46.01222384063236\n            ],\n            [\n              -49.04296875,\n              49.1242192485914\n            ],\n            [\n              -56.1181640625,\n              53.09402405506325\n            ],\n            [\n              -62.97363281249999,\n              49.55372551347579\n            ],\n            [\n              -60.1171875,\n              46.98025235521883\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"115","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Radkova, Anezka Borcinova","contributorId":223648,"corporation":false,"usgs":false,"family":"Radkova","given":"Anezka","email":"","middleInitial":"Borcinova","affiliations":[{"id":40753,"text":"Queen's University","active":true,"usgs":false}],"preferred":false,"id":785754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jamieson, Heather E.","contributorId":150176,"corporation":false,"usgs":false,"family":"Jamieson","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":7029,"text":"Queen's University, Kingston, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":785755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":785753,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208127,"text":"70208127 - 2020 - Introgression obscures lineage boundaries and phylogeographic history in the western banded gecko, Coleonyx variegatus (Squamata: Eublepharidae)","interactions":[],"lastModifiedDate":"2020-08-26T18:30:01.777358","indexId":"70208127","displayToPublicDate":"2020-01-20T16:45:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3810,"text":"Zoological Journal of the Linnean Society","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Introgression obscures lineage boundaries and phylogeographic history in the western banded gecko, <i>Coleonyx variegatus</i> (Squamata: Eublepharidae)","title":"Introgression obscures lineage boundaries and phylogeographic history in the western banded gecko, Coleonyx variegatus (Squamata: Eublepharidae)","docAbstract":"<p><span>The geomorphological formation of the Baja California peninsula and the Gulf of California is a principal driver of diversification for the reptiles of North America’s warm deserts. The western banded gecko,&nbsp;</span><i>Coleonyx variegatus</i><span>, is distributed throughout the Mojave, Sonoran and Peninsular deserts. In this study we use multilocus sequence data to address deep phylogeographic structure within&nbsp;</span><i>C. variegatus</i><span>. Analyses of mtDNA data recover six divergent clades throughout the range of&nbsp;</span><i>C. variegatus</i><span>. Topology of the mtDNA gene tree suggests separate origins of peninsular populations with an older lineage in the south and a younger one in the north. In contrast, analyses of multilocus nuclear data provide support for four lineages, corresponding to the subspecies&nbsp;</span><i>C. v. abbotti</i><span>,&nbsp;</span><i>C. v. peninsularis</i><span>,&nbsp;</span><i>C. v. sonoriensis</i><span>&nbsp;and&nbsp;</span><i>C. v. variegatus</i><span>. Phylogenetic analyses of the nuclear data recover&nbsp;</span><i>C. v. abbotti</i><span>&nbsp;and&nbsp;</span><i>C. v. peninsularis</i><span>&nbsp;as a clade, indicating a single origin of the peninsular populations. Discordance between the nuclear and mtDNA data is largely the result of repeated episodes of mtDNA introgression that have obscured both lineage boundaries and biogeographic history. Dating analyses of the combined nuclear and mtDNA data suggest that the peninsular clade diverged from the continental group in the Late Miocene.</span></p>","language":"English","publisher":"Oxford University Press on behalf of The Linnean Society of London","doi":"10.1093/zoolinnean/zlz143","usgsCitation":"Leavitt, D.H., Hollingsworth, B., Fisher, R.N., and Reeder, T.W., 2020, Introgression obscures lineage boundaries and phylogeographic history in the western banded gecko, Coleonyx variegatus (Squamata: Eublepharidae): Zoological Journal of the Linnean Society, v. 190, no. 13, p. 181-226, https://doi.org/10.1093/zoolinnean/zlz143.","productDescription":"46 p.","startPage":"181","endPage":"226","ipdsId":"IP-113109","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":371663,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Baja California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.333984375,\n              32.99023555965106\n            ],\n            [\n              -116.54296874999999,\n              28.459033019728043\n            ],\n            [\n              -113.99414062499999,\n              22.59372606392931\n            ],\n            [\n              -106.962890625,\n              20.2209657795223\n            ],\n            [\n              -105.908203125,\n              22.67484735118852\n            ],\n            [\n              -110.302734375,\n              27.371767300523047\n            ],\n            [\n              -114.521484375,\n              32.47269502206151\n            ],\n            [\n              -117.333984375,\n              32.99023555965106\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"190","issue":"13","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Leavitt, Dean H","contributorId":221884,"corporation":false,"usgs":false,"family":"Leavitt","given":"Dean","email":"","middleInitial":"H","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":780624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hollingsworth, Bradford","contributorId":202768,"corporation":false,"usgs":false,"family":"Hollingsworth","given":"Bradford","affiliations":[{"id":36525,"text":"San Diego Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":780626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reeder, Tod W","contributorId":221885,"corporation":false,"usgs":false,"family":"Reeder","given":"Tod","email":"","middleInitial":"W","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":780625,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208905,"text":"70208905 - 2020 - Dunes in the world's big rivers are characterized by low-angle lee-side slopes and a complex shape","interactions":[],"lastModifiedDate":"2020-03-04T15:48:45","indexId":"70208905","displayToPublicDate":"2020-01-20T15:45:17","publicationYear":"2020","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":"Dunes in the world's big rivers are characterized by low-angle lee-side slopes and a complex shape","docAbstract":"Dunes form critical agents of bedload transport in all of the world’s big rivers, and constitute appreciable sources of bed roughness and flow resistance. Dunes also generate stratification that is the most common depositional feature of ancient riverine sediments. However, current models of dune dynamics and stratification are conditioned by bedform geometries observed in small rivers and laboratory experiments. For these dunes, the downstream lee-side is often assumed to be simple in shape and sloping at the angle of repose. Here we show, using a unique compilation of high-resolution bathymetry from a range of large rivers, that dunes are instead characterized predominantly by low-angle lee-side slopes (<10°), complex lee-side shapes with the steepest portion near the base of the lee-side slope and a height that is often only 10% of the local flow depth. This radically different shape of river dunes demands that such geometries are incorporated into predictions of flow resistance, water levels and flood risk and calls for rethinking of dune scaling relationships when reconstructing palaeoflow depths and a fundamental reappraisal of the character, and origin, of low-angle cross-stratification within interpretations of ancient alluvial sediments.","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/s41561-019-0511-7","usgsCitation":"Cisneros, J., Best, J.L., van Dijk, T., de Almeida, R.P., Amsler, M., Boldt, J.A., Freitas, B., Galeazzi, C., Huizinga, R.J., Ianniruberto, M., Ma, H., Nittrouer, J., Oberg, K., Orfeo, O., Parsons, D., Szupiany, R.N., Wang, P., and Zhang, Y., 2020, Dunes in the world's big rivers are characterized by low-angle lee-side slopes and a complex shape: Nature Geoscience, v. 13, no. 2, p. 156-162, https://doi.org/10.1038/s41561-019-0511-7.","productDescription":"7 p.","startPage":"156","endPage":"162","ipdsId":"IP-114604","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":467304,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1038/s41561-019-0511-7","text":"External Repository"},{"id":372925,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Cisneros, Julia 0000-0001-6451-4180","orcid":"https://orcid.org/0000-0001-6451-4180","contributorId":223037,"corporation":false,"usgs":false,"family":"Cisneros","given":"Julia","email":"","affiliations":[{"id":40647,"text":"Department of Geology, University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":783906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Best, Jim L.","contributorId":147995,"corporation":false,"usgs":false,"family":"Best","given":"Jim","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":783907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Dijk, Thaienne 0000-0003-1702-1142","orcid":"https://orcid.org/0000-0003-1702-1142","contributorId":223038,"corporation":false,"usgs":false,"family":"van Dijk","given":"Thaienne","email":"","affiliations":[{"id":40648,"text":"Department of Applied Geology and Geophysics, Deltares, Utrecht, the Netherlands","active":true,"usgs":false}],"preferred":false,"id":783908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"de Almeida, Renato Paes","contributorId":223039,"corporation":false,"usgs":false,"family":"de Almeida","given":"Renato","email":"","middleInitial":"Paes","affiliations":[{"id":40649,"text":"Instituto de Geociencias, Universidade de Sao Paulo, Brazil","active":true,"usgs":false}],"preferred":false,"id":783909,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amsler, Mario","contributorId":223040,"corporation":false,"usgs":false,"family":"Amsler","given":"Mario","email":"","affiliations":[{"id":40650,"text":"Instituto Nacional de Limnologia, Santa Fe, Argentina","active":true,"usgs":false}],"preferred":false,"id":783910,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boldt, Justin A. 0000-0002-0771-3658","orcid":"https://orcid.org/0000-0002-0771-3658","contributorId":207849,"corporation":false,"usgs":true,"family":"Boldt","given":"Justin","email":"","middleInitial":"A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783903,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Freitas, Bernardo 0000-0001-6239-0137","orcid":"https://orcid.org/0000-0001-6239-0137","contributorId":223041,"corporation":false,"usgs":false,"family":"Freitas","given":"Bernardo","email":"","affiliations":[{"id":40651,"text":"Universidade Estadual de Campinas, Limeira, Brazil","active":true,"usgs":false}],"preferred":false,"id":783911,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Galeazzi, Cristiano","contributorId":223042,"corporation":false,"usgs":false,"family":"Galeazzi","given":"Cristiano","email":"","affiliations":[{"id":40649,"text":"Instituto de Geociencias, Universidade de Sao Paulo, Brazil","active":true,"usgs":false}],"preferred":false,"id":783912,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783904,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ianniruberto, Marco","contributorId":223043,"corporation":false,"usgs":false,"family":"Ianniruberto","given":"Marco","email":"","affiliations":[{"id":40652,"text":"Instituto de Geociencias, Universidade de Brasilia, Brazil","active":true,"usgs":false}],"preferred":false,"id":783913,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ma, Hongbo","contributorId":223044,"corporation":false,"usgs":false,"family":"Ma","given":"Hongbo","email":"","affiliations":[{"id":40653,"text":"Rice University, Houston, TX","active":true,"usgs":false}],"preferred":false,"id":783914,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nittrouer, Jeff","contributorId":223045,"corporation":false,"usgs":false,"family":"Nittrouer","given":"Jeff","email":"","affiliations":[{"id":40653,"text":"Rice University, Houston, TX","active":true,"usgs":false}],"preferred":false,"id":783915,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Oberg, Kevin 0000-0002-7024-3361 kaoberg@usgs.gov","orcid":"https://orcid.org/0000-0002-7024-3361","contributorId":175229,"corporation":false,"usgs":true,"family":"Oberg","given":"Kevin","email":"kaoberg@usgs.gov","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":783905,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Orfeo, Oscar","contributorId":223046,"corporation":false,"usgs":false,"family":"Orfeo","given":"Oscar","email":"","affiliations":[{"id":40654,"text":"National Scientific and Technical Research Council, Corrientes, Argentina","active":true,"usgs":false}],"preferred":false,"id":783916,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Parsons, Daniel","contributorId":216508,"corporation":false,"usgs":false,"family":"Parsons","given":"Daniel","affiliations":[{"id":39462,"text":"University of Hull, UK","active":true,"usgs":false}],"preferred":false,"id":783917,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Szupiany, Ricardo N.","contributorId":189755,"corporation":false,"usgs":false,"family":"Szupiany","given":"Ricardo","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":783918,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Wang, Ping","contributorId":78646,"corporation":false,"usgs":false,"family":"Wang","given":"Ping","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":783919,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Zhang, Yuanfeng","contributorId":223047,"corporation":false,"usgs":false,"family":"Zhang","given":"Yuanfeng","email":"","affiliations":[{"id":40655,"text":"Yellow River Institute of Hydraulic Research, Zhengzhou, P. R. China","active":true,"usgs":false}],"preferred":false,"id":783920,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70208334,"text":"70208334 - 2020 - Shifts in hatching date of American crocodile (Crocodylus acutus) in southern Florida","interactions":[],"lastModifiedDate":"2020-03-11T15:17:12","indexId":"70208334","displayToPublicDate":"2020-01-20T15:17:53","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2476,"text":"Journal of Thermal Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Shifts in hatching date of American crocodile (<i>Crocodylus acutus</i>) in southern Florida","title":"Shifts in hatching date of American crocodile (Crocodylus acutus) in southern Florida","docAbstract":"Globally temperature of marine environments is on the rise and temperature plays an important role in the life-history of reptiles. In this study, we examined the relationship between sea surface temperature and average date of hatching for American crocodiles (Crocodylus acutus) over a 37-year period at two nesting sites, Everglades National Park and Florida Power and Light Turkey Point Power Plant site in southern Florida. Our results indicate that hatch dates are shifting 1.5 days earlier every two years and at half that rate for the Turkey Point site, and with every 1 °C degree increase in temperature, hatching occurs about 10 days earlier in the Everglades and 6 days earlier at Turkey Point. Our results on shifting hatch dates for American crocodiles provide further details about the impacts of temperature change on crocodile life history and suggest that increased temperature may affect their phenology.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jtherbio.2020.102521","usgsCitation":"Cherkiss, M., Watling, J.I., Brandt, L.A., Mazzotti, F., Linsay, J., Beauchamp, J.S., Lorenz, J., Wasilewski, J., Fujisaki, I., and Hart, K., 2020, Shifts in hatching date of American crocodile (Crocodylus acutus) in southern Florida: Journal of Thermal Biology, v. 88, 102521, 7 p., https://doi.org/10.1016/j.jtherbio.2020.102521.","productDescription":"102521, 7 p.","ipdsId":"IP-108582","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":437152,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TL7CZC","text":"USGS data release","linkHelpText":"Hatch dates of American crocodile nests in Everglades National Park and Turkey Point Power Plant 1983-2016"},{"id":372024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.9140625,\n              25.13533901613099\n            ],\n            [\n              -80.09033203125,\n              25.13533901613099\n            ],\n            [\n              -80.09033203125,\n              26.64745870265938\n            ],\n            [\n              -81.9140625,\n              26.64745870265938\n            ],\n            [\n              -81.9140625,\n              25.13533901613099\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"88","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cherkiss, Michael 0000-0002-7802-6791","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":222174,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":781453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watling, James I.","contributorId":175275,"corporation":false,"usgs":false,"family":"Watling","given":"James","email":"","middleInitial":"I.","affiliations":[{"id":27555,"text":"John Carroll University","active":true,"usgs":false}],"preferred":false,"id":781454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brandt, Laura A.","contributorId":146646,"corporation":false,"usgs":false,"family":"Brandt","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":781455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mazzotti, Frank J.","contributorId":12358,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12604,"text":"Department of Wildlife Ecology and Conservation, Fort Lauderdale Research and Education Center, 3205 College Avenue, University of Florida, Davie, FL 33314, USA","active":true,"usgs":false}],"preferred":false,"id":781456,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Linsay, Jim","contributorId":222176,"corporation":false,"usgs":false,"family":"Linsay","given":"Jim","email":"","affiliations":[{"id":40502,"text":"Florida Power and Light Company","active":true,"usgs":false}],"preferred":false,"id":781457,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beauchamp, Jeffrey S.","contributorId":138880,"corporation":false,"usgs":false,"family":"Beauchamp","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[{"id":12559,"text":"University of Florida, FLEC","active":true,"usgs":false}],"preferred":false,"id":781458,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lorenz, Jerome J.","contributorId":20062,"corporation":false,"usgs":true,"family":"Lorenz","given":"Jerome J.","affiliations":[],"preferred":false,"id":781459,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wasilewski, Joseph","contributorId":222178,"corporation":false,"usgs":false,"family":"Wasilewski","given":"Joseph","email":"","affiliations":[{"id":40502,"text":"Florida Power and Light Company","active":true,"usgs":false}],"preferred":false,"id":781460,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fujisaki, Ikuko","contributorId":38359,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","affiliations":[],"preferred":false,"id":781461,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":222179,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":781462,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70211225,"text":"70211225 - 2020 - Estimating detection probability for Burmese Pythons with few detections and zero recapture events","interactions":[],"lastModifiedDate":"2020-07-21T14:32:45.799268","indexId":"70211225","displayToPublicDate":"2020-01-20T14:57:18","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating detection probability for Burmese Pythons with few detections and zero recapture events","docAbstract":"Detection has been a long-standing challenge to monitoring populations of cryptic herpetofauna, which often have detection probabilities that are closer to zero than one. Burmese Pythons (Python bivittatus =Python molurus bivittatus), a recent invader in the Greater Everglades Ecosystem of Florida, are cryptic snakes that have long periods of inactivity. In addition, management actions such as removal of every python encountered create challenges for estimating population size and quantifying effects of management using traditional statistical approaches. We used Bayesian analysis of data collected from 59 visual surveys (144 person-surveys) covering a total distance of 485.6 km (1185.1 person-km) and radiotelemetry to estimate detection probability for Burmese Pythons, estimates which can improve interpretation of encounter and removal data. We found that detection probability ranged from 0.0001  0.0146 depending on whether or not efforts units accounted for total human effort across multiple surveyors and statistical method used. Based on our surveys, detection probabilities for Burmese Pythons are therefore likely < 0.05, but factors such as the number of searchers or time of day may improve detection probability. Traditional capture-recapture or visual surveys are, however, unlikely to yield accurate information on Burmese Python population size or trends across time without cost-prohibitive effort. Consequently, novel method development to monitor or measure Burmese Python populations, including techniques better equipped to handle very low detection, is critically needed for informative and reliable inferences about population size or the management effects of python removal.","language":"English","publisher":"BioOne","doi":"10.1670/18-154","usgsCitation":"Nafus, M.G., Mazzotti, F., and Reed, R., 2020, Estimating detection probability for Burmese Pythons with few detections and zero recapture events: Journal of Herpetology, v. 54, no. 1, p. 24-30, https://doi.org/10.1670/18-154.","productDescription":"7 p.","startPage":"24","endPage":"30","ipdsId":"IP-102865","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":376526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nafus, Melia G. 0000-0002-7325-3055 mnafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7325-3055","contributorId":197462,"corporation":false,"usgs":true,"family":"Nafus","given":"Melia","email":"mnafus@usgs.gov","middleInitial":"G.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":793269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mazzotti, Frank J.","contributorId":12358,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12604,"text":"Department of Wildlife Ecology and Conservation, Fort Lauderdale Research and Education Center, 3205 College Avenue, University of Florida, Davie, FL 33314, USA","active":true,"usgs":false}],"preferred":false,"id":793270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":152301,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":793271,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208849,"text":"70208849 - 2020 - A hierarchical analysis of habitat area, connectivity, and quality on amphibian diversity across spatial scales","interactions":[],"lastModifiedDate":"2020-03-03T14:12:32","indexId":"70208849","displayToPublicDate":"2020-01-20T14:11:13","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A hierarchical analysis of habitat area, connectivity, and quality on amphibian diversity across spatial scales","docAbstract":"Habitat fragmentation can alter species distributions and lead to reduced diversity at multiple scales. Yet, the literature describing fragmentation effects on biodiversity patterns is contradictory and inconclusive, possibly because most studies fail to integrate spatial scale into experimental designs and statistical analyses. As a result, it is difficult to extrapolate the effects of fragmentation to large-scaled systems in which conservation management is of immediate importance.\nObjectives\nTo explore the influence of fragmentation on biodiversity across scales, we (1) estimated the effects of habitat area, connectivity, and quality at both local (i.e. community) and regional (i.e. metacommunity) scales; and (2) evaluated the direction, magnitude, and precision of these effect estimates at both spatial scales. \nMethods\nWe developed a multi-region community occupancy model to analyze 13 years (2005-2017) of amphibian monitoring data within the National Capital Region, a network of U.S. National Parks.\nResults\nOverall, we found a positive effect of park size and a negative effect of isolation on species richness at the park-level (i.e. metacommunity), and generally positive effects of wetland area, connectivity, and quality on species richness at the wetland-level (i.e. community), although parameter estimates varied among species. Covariate effects were less precise, but effects sizes were larger, at the local wetland-level as compared to the larger park-level scale.\nConclusions\nOur analysis reveals how scale can mediate interpretation of results from scientific studies, which might help explain conflicting narratives concerning the impacts of fragmentation in the published literature. Our hierarchical framework can help managers and policymakers elucidate the relevant spatial scale(s) to target conservation efforts.","language":"English","publisher":"Springer","doi":"10.1007/s10980-019-00963-z","usgsCitation":"Wright, A., Campbell Grant, E.H., and Zipkin, E., 2020, A hierarchical analysis of habitat area, connectivity, and quality on amphibian diversity across spatial scales: Landscape Ecology, v. 35, p. 529-544, https://doi.org/10.1007/s10980-019-00963-z.","productDescription":"16 p.","startPage":"529","endPage":"544","ipdsId":"IP-111429","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":372875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Wright, AD","contributorId":222951,"corporation":false,"usgs":false,"family":"Wright","given":"AD","email":"","affiliations":[{"id":40631,"text":"Michigan State","active":true,"usgs":false}],"preferred":false,"id":783626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":783625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zipkin, EF","contributorId":222952,"corporation":false,"usgs":false,"family":"Zipkin","given":"EF","affiliations":[{"id":40631,"text":"Michigan State","active":true,"usgs":false}],"preferred":false,"id":783627,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211223,"text":"70211223 - 2020 - Influence of land use and region on glyphosate and aminomethylphosphonic acid in streams in the USA","interactions":[],"lastModifiedDate":"2020-07-21T14:24:53.630793","indexId":"70211223","displayToPublicDate":"2020-01-20T13:13:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Influence of land use and region on glyphosate and aminomethylphosphonic acid in streams in the USA","docAbstract":"<p><span>Glyphosate is the most widely used herbicide in the United States for agricultural and non-agricultural weed control. Many studies demonstrate possible effects of glyphosate and its degradate AMPA on human and ecological health. Although glyphosate is thought to have limited mobility in soil, it is found year-round in many rivers and streams throughout the world in both agricultural and developed environments. It is vitally important to continue to increase the knowledge base of glyphosate use, distribution, transport, and impacts on human health and the environment. Here we show that glyphosate and AMPA are found in nearly all of 70 streams throughout the United States at concentrations far below human health or ecological benchmarks, with less occurrence in the Northeast and that undeveloped land, classified as such by land use near the sampling station, has lower concentrations compared to other types of land. Results also show that sites with large watersheds tend to have more AMPA than glyphosate and the opposite is true for small watersheds. Travel times and opportunity for glyphosate to degrade to AMPA and for reservoirs of AMPA to grow are greater in large watersheds. Factors that promoted quick movement of glyphosate to streams, such as subsurface tile or storm drains, sewers, overland flow from developed landscapes, and arid landscapes were associated with sites that had greater concentrations of glyphosate compared to AMPA. These results contribute contemporary information and generalized interpretations adding to the knowledge base of the fate of glyphosate on a national scale and provide a springboard for further exploration of technical processes controlling transport to streams.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.136008","usgsCitation":"Medalie, L., Baker, N.T., Shoda, M.E., Stone, W.W., Meyer, M., Stets, E.G., and Wilson, M.C., 2020, Influence of land use and region on glyphosate and aminomethylphosphonic acid in streams in the USA: Science of the Total Environment, v. 707, Report: 136008, 9 p.; Data Release, https://doi.org/10.1016/j.scitotenv.2019.136008.","productDescription":"Report: 136008, 9 p.; Data Release","ipdsId":"IP-102873","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":458076,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.136008","text":"Publisher Index Page"},{"id":437153,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JBWQ96","text":"USGS data release","linkHelpText":"Glyphosate and aminomethylphosphonic acid (AMPA) in National Water Quality Network Streams and Rivers in the U.S., Water Years 2015-2017"},{"id":376508,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":376507,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://www.sciencebase.gov/catalog/item/5d8a1757e4b0c4f70d0ae50b","text":"Data release","description":"Glyphosate and aminomethylphosphonic acid (AMPA) in National Water Quality Network Streams and Rivers in the U.S., Water Years 2015-2017","linkHelpText":"Glyphosate and aminomethylphosphonic acid (AMPA) in National Water Quality Network Streams and Rivers in the U.S., Water Years 2015-2017"}],"country":"United 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lmedalie@usgs.gov","orcid":"https://orcid.org/0000-0002-2440-2149","contributorId":3657,"corporation":false,"usgs":true,"family":"Medalie","given":"Laura","email":"lmedalie@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Nancy T. 0000-0002-7979-5744 ntbaker@usgs.gov","orcid":"https://orcid.org/0000-0002-7979-5744","contributorId":1955,"corporation":false,"usgs":true,"family":"Baker","given":"Nancy","email":"ntbaker@usgs.gov","middleInitial":"T.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shoda, Megan E. 0000-0002-5343-9717 meshoda@usgs.gov","orcid":"https://orcid.org/0000-0002-5343-9717","contributorId":4352,"corporation":false,"usgs":true,"family":"Shoda","given":"Megan","email":"meshoda@usgs.gov","middleInitial":"E.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793262,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stone, Wesley W. 0000-0003-0239-2063 wwstone@usgs.gov","orcid":"https://orcid.org/0000-0003-0239-2063","contributorId":1496,"corporation":false,"usgs":true,"family":"Stone","given":"Wesley","email":"wwstone@usgs.gov","middleInitial":"W.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":793263,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Michael T. 0000-0001-6006-7985","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":205665,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":793264,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":793265,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilson, Michaelah C. 0000-0001-7052-9506","orcid":"https://orcid.org/0000-0001-7052-9506","contributorId":229469,"corporation":false,"usgs":true,"family":"Wilson","given":"Michaelah","email":"","middleInitial":"C.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793266,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70208709,"text":"70208709 - 2020 - Genetic confirmation of a natural hybrid between a Northern Goshawk (Accipiter gentilis) and a Cooper’s Hawk (A. cooperii)","interactions":[],"lastModifiedDate":"2020-02-25T12:50:42","indexId":"70208709","displayToPublicDate":"2020-01-20T12:47:17","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Genetic confirmation of a natural hybrid between a Northern Goshawk (Accipiter gentilis) and a Cooper’s Hawk (A. cooperii)","docAbstract":"Although hybrids between captive Accipiter species are known, and hybrids between wild Accipiter species in North America have long been suspected, none have been confirmed to date. However, in 2014, a hatching year Accipiter captured at Cape May, New Jersey, during fall migration, appeared intermediate in size and plumage between a Northern Goshawk (Accipiter gentilis) and a Cooper's Hawk (A. cooperii), and was suspected to be a hybrid. We used data from mitochondrial and nuclear genes to confirm that the hawk was a hybrid female resulting from a cross between a male Cooper's Hawk and female Northern Goshawk.","language":"English","publisher":"BioONE","doi":"10.1676/1559-4491-131.4.838","usgsCitation":"Haughey, C., Nelson, A., Napier, P., Rosenfield, R.N., Sonsthagen, S.A., and Talbot, S.L., 2020, Genetic confirmation of a natural hybrid between a Northern Goshawk (Accipiter gentilis) and a Cooper’s Hawk (A. cooperii): Wilson Journal of Ornithology, v. 131, no. 4, p. 838-844, https://doi.org/10.1676/1559-4491-131.4.838.","productDescription":"7 p.","startPage":"838","endPage":"844","ipdsId":"IP-096302","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":372630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Cape May","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.03662109375,\n              38.91027022759443\n            ],\n            [\n              -74.66583251953125,\n              38.91027022759443\n            ],\n            [\n              -74.66583251953125,\n              39.17052936145295\n            ],\n            [\n              -75.03662109375,\n              39.17052936145295\n            ],\n            [\n              -75.03662109375,\n              38.91027022759443\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"131","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Haughey, Christy 0000-0002-4846-6008","orcid":"https://orcid.org/0000-0002-4846-6008","contributorId":220547,"corporation":false,"usgs":true,"family":"Haughey","given":"Christy","email":"","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":783109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Arthur","contributorId":222768,"corporation":false,"usgs":false,"family":"Nelson","given":"Arthur","affiliations":[{"id":40596,"text":"Cape May Raptor Banding Project","active":true,"usgs":false}],"preferred":false,"id":783110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Napier, Paul","contributorId":222769,"corporation":false,"usgs":false,"family":"Napier","given":"Paul","email":"","affiliations":[{"id":40596,"text":"Cape May Raptor Banding Project","active":true,"usgs":false}],"preferred":false,"id":783111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenfield, R. N.","contributorId":222770,"corporation":false,"usgs":false,"family":"Rosenfield","given":"R.","email":"","middleInitial":"N.","affiliations":[{"id":40597,"text":"Department of Biology, University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":783112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":783113,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":783108,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70208329,"text":"70208329 - 2020 - A revised Holocene coral sea-level database from the Florida reef tract, USA","interactions":[],"lastModifiedDate":"2020-02-04T11:30:46","indexId":"70208329","displayToPublicDate":"2020-01-20T11:27:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"A revised Holocene coral sea-level database from the Florida reef tract, USA","docAbstract":"The coral reefs and mangrove habitats of the south Florida region have long been\nused in sea-level studies for the western Atlantic because of their broad geographic\nextent and composition of sea-level tracking biota. The data from this region have\nbeen used to support several very different Holocene sea-level reconstructions (SLRs)\nover the years. However, many of these SLRs did not incorporate all available coral-based\ndata, in part because detailed characterizations necessary for inclusion into\nsea-level databases were lacking. Here, we present an updated database comprised\nof 303 coral samples from published sources that we extensively characterized for\nthe first time. The data were carefully screened by evaluating and ranking the visual\ntaphonomic characteristics of every dated sample within the database, which resulted\nin the identification of 134 high-quality coral samples for consideration as suitable\nsea-level indicators. We show that our database largely agrees with the most recent\nSLR for south Florida over the last ~7,000 years; however, the early Holocene remains\npoorly characterized because there are few high-quality data spanning this period.\nSuggestions to refine future Holocene SLRs in the region are provided including\nfilling spatial and temporal data gaps of coral samples, particularly from the early\nHolocene, as well as constructing a more robust peat database to better constrain sea-level\nvariability during the middle to late Holocene. Our database and taphonomic-ranking\nprotocol provide a framework for researchers to evaluate data-selection\ncriteria depending on the robustness of their sea-level models.","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.8350","usgsCitation":"Stathakopoulos, A., Riegl, B.M., and Toth, L., 2020, A revised Holocene coral sea-level database from the Florida reef tract, USA: PeerJ, v. 8, e8350, 31 p., https://doi.org/10.7717/peerj.8350.","productDescription":"e8350, 31 p.","ipdsId":"IP-101550","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":458081,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.8350","text":"Publisher Index Page"},{"id":437154,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98QFBJ3","text":"USGS data release","linkHelpText":"South Florida Holocene Coral Sea-level Database"},{"id":372008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.167236328125,\n              25.839449402063185\n            ],\n            [\n              -80.299072265625,\n              25.730632525531913\n            ],\n            [\n              -80.364990234375,\n              25.443274612305746\n            ],\n            [\n              -80.6396484375,\n              25.105497373014686\n            ],\n            [\n              -81.01318359375,\n              24.896402266558727\n            ],\n            [\n              -82.001953125,\n              24.816653556469955\n            ],\n            [\n              -82.12280273437499,\n              24.587090339209634\n            ],\n            [\n              -81.7822265625,\n              24.347096633808512\n            ],\n            [\n              -81.10107421874999,\n              24.44714958973082\n            ],\n            [\n              -80.5517578125,\n              24.676969798202656\n            ],\n            [\n              -80.0244140625,\n              25.21488107113259\n            ],\n            [\n              -79.95849609375,\n              25.780107118422244\n            ],\n            [\n              -80.167236328125,\n              25.839449402063185\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Stathakopoulos, Anastasios 0000-0002-4404-035X astathakopoulos@usgs.gov","orcid":"https://orcid.org/0000-0002-4404-035X","contributorId":147744,"corporation":false,"usgs":true,"family":"Stathakopoulos","given":"Anastasios","email":"astathakopoulos@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":781428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riegl, Bernhard M 0000-0002-6003-9324","orcid":"https://orcid.org/0000-0002-6003-9324","contributorId":222162,"corporation":false,"usgs":false,"family":"Riegl","given":"Bernhard","email":"","middleInitial":"M","affiliations":[{"id":13165,"text":"Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":781429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":781430,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228035,"text":"70228035 - 2020 - Breeding and diet of White-tailed Kites (Elanus leucurus) in the Texas panhandle","interactions":[],"lastModifiedDate":"2022-02-03T16:23:47.524057","indexId":"70228035","displayToPublicDate":"2020-01-20T10:20:23","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Breeding and diet of White-tailed Kites (<i>Elanus leucurus</i>) in the Texas panhandle","title":"Breeding and diet of White-tailed Kites (Elanus leucurus) in the Texas panhandle","docAbstract":"<p><span>White-tailed Kites (</span><i>Elanus leucurus</i><span>) are grassland raptors that typically breed along coastal regions, particularly in California, southeastern Texas, and southern Florida. This species is irregular in the Texas panhandle, with few confirmed breeding and sighting records. We describe the first breeding record in Lubbock County, Texas, in which a pair of adults successfully raised 2 young in 2017 and may have returned and nested in 2018. Evaluation of cast pellets suggested dietary composition primarily consisted of diurnal rodents. Additionally, we compiled published and unpublished sighting and breeding records for the region and discovered reports for 2 nearby counties (Crosby and Kent counties, Texas) where White-tailed Kites have nested over multiple years, as well as several more counties with sighting records. Our data indicate that the southern extent of the Texas panhandle is now part of the species' breeding or “rare” range.</span></p>","language":"English","publisher":"Wilson Ornithological Society","doi":"10.1676/1559-4491-131.4.844","usgsCitation":"Watson, K., Greene, D.U., and Boal, C.W., 2020, Breeding and diet of White-tailed Kites (Elanus leucurus) in the Texas panhandle: Wilson Journal of Ornithology, v. 131, no. 4, p. 844-849, https://doi.org/10.1676/1559-4491-131.4.844.","productDescription":"6 p.","startPage":"844","endPage":"849","ipdsId":"IP-096826","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.040771484375,\n              34.20725938207231\n            ],\n            [\n              -99.964599609375,\n              34.20725938207231\n            ],\n            [\n              -99.964599609375,\n              36.491973470593685\n            ],\n            [\n              -103.040771484375,\n              36.491973470593685\n            ],\n            [\n              -103.040771484375,\n              34.20725938207231\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"131","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Watson, Katheryn","contributorId":274370,"corporation":false,"usgs":false,"family":"Watson","given":"Katheryn","email":"","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":832941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greene, Daniel U.","contributorId":274371,"corporation":false,"usgs":false,"family":"Greene","given":"Daniel","email":"","middleInitial":"U.","affiliations":[{"id":56610,"text":"Weyerhaeuser Company","active":true,"usgs":false}],"preferred":false,"id":832942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832943,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70215131,"text":"70215131 - 2020 - Along-strike segmentation in the northern Caribbean plate boundary zone (Hispaniola sector): Tectonic implications","interactions":[],"lastModifiedDate":"2020-10-08T13:07:43.276461","indexId":"70215131","displayToPublicDate":"2020-01-20T08:04:47","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3525,"text":"Tectonophysics","active":true,"publicationSubtype":{"id":10}},"title":"Along-strike segmentation in the northern Caribbean plate boundary zone (Hispaniola sector): Tectonic implications","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0100\">The North American (NOAM) plate converges with the Caribbean (CARIB) plate at a rate of 20.0 ± 0.4 mm/yr. towards 254 ± 1°. Plate convergence is highly oblique (20–10°), resulting in a complex crustal boundary with along-strike segmentation, strain partitioning and microplate tectonics. We study the oblique convergence of the NOAM and CARIB plates between southeastern Cuba to northern Puerto Rico using new swath multibeam bathymetry data and 2D multi-channel seismic profiles. The combined interpretation of marine geophysical data with the seismicity and geodetic data from public databases allow us to perform a regional scale analysis of the shallower structure, the seismotectonics and the slab geometry along the plate boundary. Due to differential rollback between the NOAM oceanic crust north of Puerto Rico and the relative thicker Bahamas Carbonate Province crust north of Hispaniola a slab tear is created at 68.5°W. The northern margin of Puerto Rico records the oblique high-dip subduction and rollback of the NOAM plate below the island arc. Those processes have resulted in a forearc transpressive tectonics (without strain partitioning), controlled by the Septentrional-Oriente Fault Zone (SOFZ) and the Bunce Fault Zone (BFZ). Meanwhile, in the northern margin of Hispaniola, the collision of the Bahamas Carbonate Province results in high plate coupling with strain partitioning: SOFZ and Northern Hispaniola Deformed Belt (NHDB). In the northern Haitian margin, compression is still relevant since seismicity is mostly associated with the deformation front, whereas strike slip earthquakes are hardly anecdotal. Although in Hispaniola intermediate-depth seismicity should disappear, diffuse intermediate-depth hypocenter remains evidencing the presence of remnant NOAM subducted slab below central and western Hispaniola. Results of this study improve our understanding of the active tectonics in the NE Caribbean that it is the base for future assessment studies on seismic and tsunamigenic hazard.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.tecto.2020.228322","usgsCitation":"Rodriguez-Zurrunero, A., Granja-Bruna, J.L., Muñoz-Martín, A., LeRoy, S., ten Brink, U., Gorosabel-Araus, J., Gomez de la Pena, L., Druet, M., and Carbo- Gorosabel, A., 2020, Along-strike segmentation in the northern Caribbean plate boundary zone (Hispaniola sector): Tectonic implications: Tectonophysics, v. 776, 228322, 35 p., https://doi.org/10.1016/j.tecto.2020.228322.","productDescription":"228322, 35 p.","ipdsId":"IP-114145","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":458086,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.tecto.2020.228322","text":"Publisher Index Page"},{"id":379221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Haiti, Dominican Republic, Puerto Rico, Jamaica","otherGeospatial":"Caribbean Plate","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.6181640625,\n              13.923403897723347\n            ],\n            [\n              -64.2919921875,\n              13.923403897723347\n            ],\n            [\n              -64.2919921875,\n              21.248422235627014\n            ],\n            [\n              -78.6181640625,\n              21.248422235627014\n            ],\n            [\n              -78.6181640625,\n              13.923403897723347\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"776","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rodriguez-Zurrunero, A.","contributorId":242837,"corporation":false,"usgs":false,"family":"Rodriguez-Zurrunero","given":"A.","email":"","affiliations":[{"id":48550,"text":"Applied Tectonophysics Group. Department of Geodynamics, Stratigraphy and Paleontology. Universidad Complutense, Madrid, Spain","active":true,"usgs":false}],"preferred":false,"id":800957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granja-Bruna, J. L.","contributorId":242838,"corporation":false,"usgs":false,"family":"Granja-Bruna","given":"J.","email":"","middleInitial":"L.","affiliations":[{"id":48550,"text":"Applied Tectonophysics Group. Department of Geodynamics, Stratigraphy and Paleontology. Universidad Complutense, Madrid, Spain","active":true,"usgs":false}],"preferred":false,"id":800958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muñoz-Martín, A.","contributorId":242839,"corporation":false,"usgs":false,"family":"Muñoz-Martín","given":"A.","affiliations":[{"id":48550,"text":"Applied Tectonophysics Group. Department of Geodynamics, Stratigraphy and Paleontology. Universidad Complutense, Madrid, Spain","active":true,"usgs":false}],"preferred":false,"id":800959,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LeRoy, Sarah","contributorId":147836,"corporation":false,"usgs":false,"family":"LeRoy","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":800960,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":800961,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gorosabel-Araus, J.M.","contributorId":242840,"corporation":false,"usgs":false,"family":"Gorosabel-Araus","given":"J.M.","email":"","affiliations":[{"id":48550,"text":"Applied Tectonophysics Group. Department of Geodynamics, Stratigraphy and Paleontology. Universidad Complutense, Madrid, Spain","active":true,"usgs":false}],"preferred":false,"id":800962,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gomez de la Pena, L.","contributorId":242841,"corporation":false,"usgs":false,"family":"Gomez de la Pena","given":"L.","email":"","affiliations":[{"id":48553,"text":"GEOMAR Helmholtz Centre of Ocean Research, Kiel, Germany.","active":true,"usgs":false}],"preferred":false,"id":800963,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Druet, M","contributorId":242842,"corporation":false,"usgs":false,"family":"Druet","given":"M","email":"","affiliations":[{"id":48554,"text":"Instituto Geológico y Minero de España, Tres Cantos, Madrid. Spain.","active":true,"usgs":false}],"preferred":false,"id":800964,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carbo- Gorosabel, A.","contributorId":242843,"corporation":false,"usgs":false,"family":"Carbo- Gorosabel","given":"A.","email":"","affiliations":[{"id":48550,"text":"Applied Tectonophysics Group. Department of Geodynamics, Stratigraphy and Paleontology. Universidad Complutense, Madrid, Spain","active":true,"usgs":false}],"preferred":false,"id":800965,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
]}