{"pageNumber":"69","pageRowStart":"1700","pageSize":"25","recordCount":11004,"records":[{"id":70209441,"text":"70209441 - 2020 - Chronic and episodic acidification of streams along the Appalachian Trail corridor, eastern United States","interactions":[],"lastModifiedDate":"2020-05-04T18:25:19.107285","indexId":"70209441","displayToPublicDate":"2019-12-12T07:59:28","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":"Chronic and episodic acidification of streams along the Appalachian Trail corridor, eastern United States","docAbstract":"<p><span>Acidic atmospheric deposition has adversely affected aquatic ecosystems globally. As emissions and deposition of sulfur (S) and nitrogen (N) have declined in recent decades across North America and Europe, ecosystem recovery is evident in many surface waters. However, persistent chronic and episodic acidification remain important concerns in vulnerable regions. We evaluated acidification in 269 headwater streams during 2010–2012 along the Appalachian Trail (AT) that transits several ecoregions and is located downwind of high levels of S and N emission sources. Discharge was estimated by matching sampled streams to those of a nearby gaged stream and assuming equivalent daily mean flow percentiles. Charge balance acid‐neutralizing capacity (ANC) values were adjusted to the 15th (Q15) and 85th flow percentiles (Q85) by applying the ANC/discharge slope among sample pairs collected at each stream. A site‐based approach was applied to streams sampled twice or more and a second regression‐based approach to streams sampled once to estimate episodic acidification magnitudes as the ANC difference from Q15 to Q85. Streams with ANC &lt;0 μeq/L doubled from 16% to 32% as discharge increased from Q15 to Q85 according to the site‐based approach. The proportion of streams with ANC &lt;0 μeq/L at low flow and high flow decreased from north to south. Base cation dilution explained the greatest amount of episodic acidification among streams and variation in sulfate (SO</span><sub>4</sub><sup>2−</sup><span>) concentrations was a secondary explanatory variable. Episodic SO</span><sub>4</sub><sup>2−</sup><span>&nbsp;patterns varied geographically with dilution dominant in northern streams underlain by soils developed in glacial sediment and increased concentrations dominant in southern streams with older, highly weathered soils. Episodic acidification increased as low‐flow ANC increased, exceeding 90 μeq/L in 25% of streams. Episodic increases in ANC were the dominant pattern in streams with low‐flow ANC values &lt;30 μeq/L. Chronic and episodic acidification remain an ecological concern among AT streams. The approach developed here could be applied to estimate the magnitude and extent of chronic and episodic acidification in other regions recovering from decreasing levels of atmospheric S and N deposition.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13668","collaboration":"","usgsCitation":"Burns, D., McDonnell, T., Rice, K.C., Lawrence, G.B., and Sullivan, T., 2020, Chronic and episodic acidification of streams along the Appalachian Trail corridor, eastern United States: Hydrological Processes, v. 34, p. 1498-1513, https://doi.org/10.1002/hyp.13668.","productDescription":"16 p.","startPage":"1498","endPage":"1513","ipdsId":"IP-109972","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":458377,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.13668","text":"Publisher Index Page"},{"id":373837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Georgia, Maine, Massachusetts, Maryland, New Hampshire, New Jersey, New York, North Carolina, Pennsylvania, Tennessee, Vermont, Virginia","otherGeospatial":"Appalachian Trail corridor","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.671875,\n              32.509761735919426\n            ],\n            [\n              -82.08984375,\n              32.02670629333614\n            ],\n            [\n              -79.62890625,\n              33.02708758002874\n            ],\n            [\n              -76.9921875,\n              35.67514743608467\n            ],\n            [\n              -76.5966796875,\n              37.61423141542417\n            ],\n            [\n              -76.552734375,\n              38.89103282648846\n            ],\n            [\n              -75.2783203125,\n              40.413496049701955\n            ],\n            [\n              -71.7626953125,\n              42.52069952914966\n            ],\n            [\n              -70.3564453125,\n              43.644025847699496\n            ],\n            [\n              -69.521484375,\n              44.465151013519616\n            ],\n            [\n              -68.15917968749999,\n              45.058001435398275\n            ],\n            [\n              -68.02734375,\n              46.164614496897094\n            ],\n            [\n              -68.291015625,\n              46.6795944656402\n            ],\n            [\n              -69.345703125,\n              46.46813299215554\n            ],\n            [\n              -70.5322265625,\n              45.213003555993964\n            ],\n            [\n              -72.158203125,\n              44.653024159812\n            ],\n            [\n              -74.8388671875,\n              43.389081939117496\n            ],\n            [\n              -75.76171875,\n              42.00032514831621\n            ],\n            [\n              -78.22265625,\n              40.68063802521456\n            ],\n            [\n              -79.013671875,\n              39.87601941962116\n            ],\n            [\n              -80.244140625,\n              38.37611542403604\n            ],\n            [\n              -81.650390625,\n              35.28150065789119\n            ],\n            [\n              -83.8037109375,\n              34.08906131584994\n            ],\n            [\n              -84.111328125,\n              33.50475906922609\n            ],\n            [\n              -83.671875,\n              32.509761735919426\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","noUsgsAuthors":false,"publicationDate":"2020-01-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":202943,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":786490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonnell, Todd","contributorId":223867,"corporation":false,"usgs":false,"family":"McDonnell","given":"Todd","affiliations":[{"id":40780,"text":"E&S Environmental Chemistry","active":true,"usgs":false}],"preferred":false,"id":786491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rice, Karen C. 0000-0002-9356-5443 kcrice@usgs.gov","orcid":"https://orcid.org/0000-0002-9356-5443","contributorId":178269,"corporation":false,"usgs":true,"family":"Rice","given":"Karen","email":"kcrice@usgs.gov","middleInitial":"C.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":786492,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":786493,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Timothy","contributorId":223868,"corporation":false,"usgs":false,"family":"Sullivan","given":"Timothy","affiliations":[{"id":40780,"text":"E&S Environmental Chemistry","active":true,"usgs":false}],"preferred":false,"id":786494,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70217004,"text":"70217004 - 2020 - Geochronology of the Oliverian Plutonic Suite and the Ammonoosuc Volcanics in the Bronson Hill arc: Western New Hampshire, USA","interactions":[],"lastModifiedDate":"2020-12-23T13:31:09.51661","indexId":"70217004","displayToPublicDate":"2019-12-11T07:28:12","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Geochronology of the Oliverian Plutonic Suite and the Ammonoosuc Volcanics in the Bronson Hill arc: Western New Hampshire, USA","docAbstract":"<p>U-Pb zircon geochronology by sensitive high-resolution ion microprobe–reverse geometry (SHRIMP-RG) on 11 plutonic rocks and two volcanic rocks from the Bronson Hill arc in western New Hampshire yielded Early to Late Ordovician ages ranging from 475 to 445 Ma. Ages from Oliverian Plutonic Suite rocks that intrude a largely mafic lower section of the Ammonoosuc Volcanics ranged from 474.8 ± 5.2 to 460.2 ± 3.4 Ma. Metamorphosed felsic volcanic rocks from within the Ammonoosuc Volcanics yielded ages of 460.1 ± 2.4 and 455.0 ± 11 Ma. Younger Oliverian Plutonic Suite rocks that either intrude both the upper and lower Ammonoosuc Volcanics or Partridge Formation ranged in age from 456.1 ± 6.7 Ma to 445.2 ± 6.7 Ma.</p><p>These new data and previously published results document extended magmatism for &gt;30 m.y. The ages, along with the lack of mappable structural discontinuities between the plutons and their volcanic cover, suggest that the Bronson Hill arc was part of a relatively long-lived composite arc. The Early to Late Ordovician ages presented here overlap with previously determined igneous U-Pb zircon ages in the Shelburne Falls arc to the west, suggesting that the Bronson Hill arc and the Shelburne Falls arc could be part of one, long-lived composite arc system, in agreement with the interpretation that the Iapetus suture (Red Indian Line) lies to the west of the Shelburne Falls–Bronson Hill arc system.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02170.1","usgsCitation":"Valley, P.M., Walsh, G.J., Merschat, A.J., and McAleer, R.J., 2020, Geochronology of the Oliverian Plutonic Suite and the Ammonoosuc Volcanics in the Bronson Hill arc: Western New Hampshire, USA: Geosphere, v. 16, no. 1, p. 229-257, https://doi.org/10.1130/GES02170.1.","productDescription":"29 p.","startPage":"229","endPage":"257","ipdsId":"IP-102995","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":458395,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02170.1","text":"Publisher Index Page"},{"id":381609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Hampshire","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.5537109375,\n              42.94033923363181\n            ],\n            [\n              -71.312255859375,\n              42.94033923363181\n            ],\n            [\n              -71.312255859375,\n              43.723474896114794\n            ],\n            [\n              -72.5537109375,\n              43.723474896114794\n            ],\n            [\n              -72.5537109375,\n              42.94033923363181\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Valley, Peter M. 0000-0002-9957-0403 pvalley@usgs.gov","orcid":"https://orcid.org/0000-0002-9957-0403","contributorId":4809,"corporation":false,"usgs":true,"family":"Valley","given":"Peter","email":"pvalley@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":807236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Gregory J. 0000-0003-4264-8836 gwalsh@usgs.gov","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":873,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory","email":"gwalsh@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":807237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merschat, Arthur J. 0000-0002-9314-4067 amerschat@usgs.gov","orcid":"https://orcid.org/0000-0002-9314-4067","contributorId":4556,"corporation":false,"usgs":true,"family":"Merschat","given":"Arthur","email":"amerschat@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":807238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":807239,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208094,"text":"70208094 - 2020 - Anatomy of a caldera collapse: Kīlauea 2018 summit seismicity sequence in high resolution","interactions":[],"lastModifiedDate":"2020-01-27T19:56:31","indexId":"70208094","displayToPublicDate":"2019-12-04T19:54:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Anatomy of a caldera collapse: Kīlauea 2018 summit seismicity sequence in high resolution","docAbstract":"The 2018 Kīlauea eruption and caldera collapse generated intense cycles of seismicity tied to repeated large seismic (Mw ~5) collapse events associated with magma withdrawal from beneath the summit.  To gain insight into the underlying dynamics and aid eruption response, we applied waveform-based earthquake detection and double-difference location as the eruption unfolded. Here, we augment these rapid results by grouping events based on patterns of correlation-derived phase polarities across the network.  From April 29 to August 6, bracketing the eruption, we used ~2800 events cataloged by the Hawaiian Volcano Observatory to detect and precisely locate 44,000+ earthquakes.  Resulting hypocentroids resolve complex, yet coherent structures, concentrated at shallow depths east of Halema‘uma‘u crater, beneath the eventual eastern perimeter of surface collapse.  Based on a preponderance of dilatational P-wave first motions and similarities with previously inferred dike structures, we hypothesize that failure was dominated by coupled shear and crack closure.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GL085636","usgsCitation":"Shelly, D.R., and Thelen, W., 2020, Anatomy of a caldera collapse: Kīlauea 2018 summit seismicity sequence in high resolution: Geophysical Research Letters, v. 46, no. 24, p. 14395-14403, https://doi.org/10.1029/2019GL085636.","productDescription":"9 p.","startPage":"14395","endPage":"14403","ipdsId":"IP-113843","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":458412,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019gl085636","text":"Publisher Index Page"},{"id":437192,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DMIFMW","text":"USGS data release","linkHelpText":"High resolution earthquake catalogs from the 2018 Kilauea eruption sequence"},{"id":371627,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.56503295898438,\n              19.05822387777432\n            ],\n            [\n              -155.03768920898438,\n              19.05822387777432\n            ],\n            [\n              -155.03768920898438,\n              19.6387073583296\n            ],\n            [\n              -155.56503295898438,\n              19.6387073583296\n            ],\n            [\n              -155.56503295898438,\n              19.05822387777432\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"24","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-21","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":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":780448,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thelen, Weston 0000-0003-2534-5577","orcid":"https://orcid.org/0000-0003-2534-5577","contributorId":215530,"corporation":false,"usgs":true,"family":"Thelen","given":"Weston","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":780449,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70227251,"text":"70227251 - 2020 - Brook trout (Salvelinus fontinalis) movement and survival after removal of two dams on the West Branch of the Wolf River, Wisconsin","interactions":[],"lastModifiedDate":"2022-01-05T15:12:55.633931","indexId":"70227251","displayToPublicDate":"2019-11-28T08:44:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Brook trout (<i>Salvelinus fontinalis</i>) movement and survival after removal of two dams on the West Branch of the Wolf River, Wisconsin","title":"Brook trout (Salvelinus fontinalis) movement and survival after removal of two dams on the West Branch of the Wolf River, Wisconsin","docAbstract":"<p><span>Dam removals allow fish to access habitats that may provide ecological benefits and risks, but the extent of fish movements through former dam sites has not been thoroughly evaluated for many species. We installed stationary PIT antennas in 2016 and 2017 to evaluate movements and survival of brook trout&nbsp;</span><i>Salvelinus fontinalis</i><span>&nbsp;in the West Branch of the Wolf River (WBWR) in central Wisconsin following removal of two dams and channel modifications designed to promote fish movement. These changes provided access to lacustrine habitats that might provide suitable winter habitat or act as ecological sinks. We used multistate models to estimate transition probabilities between river sections, to determine whether brook trout: (a) moved between multiple river sections and (b) entered lacustrine habitats as seasonal refuges, but eventually returned to lotic habitat. We also used a Cormack-Jolly-Seber model to evaluate whether apparent survival of brook trout in the WBWR was comparable to other populations. Few fish moved among river sections or used lacustrine habitat (&lt;5% of tagged fish); most brook trout remained in sections where they were initially tagged, potentially due to quality habitat located throughout the river. Like other studies, brook trout in the WBWR appear to experience high mortality based on low number of detections, few physical recaptures and an estimated eight-month apparent survival rate of 0.27. In scenarios where fish can already access suitable habitat, removal of dams may not result in substantial increases in fish movement and colonisation of newly accessible habitat may not occur immediately.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eff.12516","usgsCitation":"Easterly, E., Isermann, D.A., Raabe, J.K., and Pyatskowit, J.W., 2020, Brook trout (Salvelinus fontinalis) movement and survival after removal of two dams on the West Branch of the Wolf River, Wisconsin: Ecology of Freshwater Fish, v. 29, no. 2, p. 311-324, https://doi.org/10.1111/eff.12516.","productDescription":"14 p.","startPage":"311","endPage":"324","ipdsId":"IP-107712","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":393914,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"West Branch of the Wolf River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.93192291259766,\n              44.9643120983638\n            ],\n            [\n              -88.76300811767578,\n              44.9643120983638\n            ],\n            [\n              -88.76300811767578,\n              45.11859928315532\n            ],\n            [\n              -88.93192291259766,\n              45.11859928315532\n            ],\n            [\n              -88.93192291259766,\n              44.9643120983638\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"29","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Easterly, Emma G.","contributorId":270907,"corporation":false,"usgs":false,"family":"Easterly","given":"Emma G.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":830114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":830113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raabe, Joshua K.","contributorId":270908,"corporation":false,"usgs":false,"family":"Raabe","given":"Joshua","email":"","middleInitial":"K.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":830115,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pyatskowit, Joshua W.","contributorId":270909,"corporation":false,"usgs":false,"family":"Pyatskowit","given":"Joshua","email":"","middleInitial":"W.","affiliations":[{"id":56220,"text":"Menominee Indian Tribe of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":830116,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70218479,"text":"70218479 - 2020 - Deposition potential and flow-response dynamics of emergent sandbars in a braided river","interactions":[],"lastModifiedDate":"2021-03-02T13:01:45.819116","indexId":"70218479","displayToPublicDate":"2019-11-23T08:35:02","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Deposition potential and flow-response dynamics of emergent sandbars in a braided river","docAbstract":"<p><span>Sandbars are ubiquitous in sandy‐braided rivers throughout the world. In the Great Plains of the United States, recovery and expansion of emergent sandbar habitat (ESH) has been a priority in lowland rivers where the natural extent of sandbars has been degraded. Recovery efforts are aimed at protection of populations of the interior least tern (</span><i>Sterna antillarum</i><span>) and piping plover (</span><i>Charadrius melodus</i><span>). But quantitative observations of deposition and erosion dynamics of populations of sandbars across long segments of rivers are rare. We present a three‐part case study which used Bayesian regression models to examine relations between hydrology, channel morphology, and ESH responses in the Platte River, eastern Nebraska. Logistic regression indicates presence of ESH is positively related to the Parker, (1976) stability criterion and a gradient in sediment transport mode, and negatively related to presence of vegetation. Hierarchical linear regression modeling shows direct coupling between sandbar top‐surface height and formative flood magnitude, but the gap between formative flood stage and sandbar top‐surface increases with increasing discharge. Finally, linear regression modeling of sandbar erosion demonstrates rates of ESH erosion are on the order of 10</span><sup>−1</sup><span>&nbsp;ha/day during high‐flow periods and 10</span><sup>−2</sup><span>&nbsp;during low‐flow periods, but sandbar persistence is largely a function of sandbar starting size. The collective observations highlight the importance of large floods (&gt;3‐year recurrence) in creating very large sandbars that persist as high‐quality ESH over periods of years whereas lower‐magnitude, more‐frequent flood events create lower‐quality ESH that typically does not persist into the following nesting season.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018WR024107","usgsCitation":"Alexander, J., McElroy, B., Huzurbazar, S., Elliott, C.M., and Murr, M.L., 2020, Deposition potential and flow-response dynamics of emergent sandbars in a braided river: Water Resources Research, v. 56, no. 1, e2018WR024107, 23 p., https://doi.org/10.1029/2018WR024107.","productDescription":"e2018WR024107, 23 p.","ipdsId":"IP-098093","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":383680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Platte River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.11865234374999,\n              40.66397287638688\n            ],\n            [\n              -95.8502197265625,\n              40.66397287638688\n            ],\n            [\n              -95.8502197265625,\n              42.11859868281563\n            ],\n            [\n              -99.11865234374999,\n              42.11859868281563\n            ],\n            [\n              -99.11865234374999,\n              40.66397287638688\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"56","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Alexander, Jason S. 0000-0002-1602-482X","orcid":"https://orcid.org/0000-0002-1602-482X","contributorId":204220,"corporation":false,"usgs":false,"family":"Alexander","given":"Jason S.","affiliations":[{"id":36881,"text":"Department of Geology and Geophysics, University of Wyoming","active":true,"usgs":false},{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":811168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McElroy, Brandon","contributorId":198820,"corporation":false,"usgs":false,"family":"McElroy","given":"Brandon","affiliations":[],"preferred":false,"id":811169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huzurbazar, Snehalata","contributorId":85903,"corporation":false,"usgs":false,"family":"Huzurbazar","given":"Snehalata","email":"","affiliations":[],"preferred":false,"id":811171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elliott, Caroline M. 0000-0002-9190-7462 celliott@usgs.gov","orcid":"https://orcid.org/0000-0002-9190-7462","contributorId":2380,"corporation":false,"usgs":true,"family":"Elliott","given":"Caroline","email":"celliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":811172,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murr, Marissa L.","contributorId":252938,"corporation":false,"usgs":false,"family":"Murr","given":"Marissa","email":"","middleInitial":"L.","affiliations":[{"id":50476,"text":"Department of Geology and Geophysics, University of Wyoming, Laramie, Wyoming","active":true,"usgs":false}],"preferred":false,"id":811170,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70206849,"text":"70206849 - 2020 - Impacts of Hurricane Irma on Florida Bay Islands, Everglades National Park, U.S.A.","interactions":[],"lastModifiedDate":"2020-06-04T16:39:12.956393","indexId":"70206849","displayToPublicDate":"2019-11-22T14:15:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of Hurricane Irma on Florida Bay Islands, Everglades National Park, U.S.A.","docAbstract":"<p><span>Hurricane Irma made landfall in south Florida, USA, on September 10, 2017 as a category 4 storm. In January 2018, fieldwork was conducted on four previously (2014) sampled islands in Florida Bay, Everglades National Park to examine changes between 2014 and 2018. The objectives were to determine if the net impact of the storm was gain or loss of island landmass and/or elevation; observe and quantify impacts to mangroves; and identify distinctive sedimentary, biochemical, and/or geochemical signatures of the storm. Storm overwash deposits were measured in the field and, in general, interior island mudflats appeared to experience deposition ranging from ~ 0.5 to ~ 6.5&nbsp;cm. Elevation changes were measured using real-time kinematic positioning and satellite receivers. Comparison of 2014 to 2018 elevation measurements indicates mangrove berms and transitional areas between mudflats and berms experienced erosion and loss of elevation, whereas interior mudflats gained elevation, possibly due to Hurricane Irma. Geographic information system analysis of pre- and post-storm satellite imagery indicates the western-most island, closest to the eye of the storm, lost 32 to 42% (~ 11 to 13&nbsp;m) of the width of the eastern berm, and vegetated coverage was reduced 9.3% or ~ 9700&nbsp;m</span><sup>2</sup><span>. Vegetated coverage on the eastern-most island was reduced by 1.9% or ~ 9200&nbsp;m</span><sup>2</sup><span>. These results are compared to previous accounts of hurricane impacts and provide a baseline for examining long-term constructive and destructive aspects of hurricanes on the islands and the role of storms in resiliency of Florida Bay islands.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-019-00638-7","usgsCitation":"Wingard, G.L., Bergstresser, S.E., Stackhouse, B., Jones, M., Marot, M.E., Hoefke, K., Daniels, A., and Keller, K., 2020, Impacts of Hurricane Irma on Florida Bay Islands, Everglades National Park, U.S.A.: Estuaries and Coasts, v. 43, p. 1070-1089, https://doi.org/10.1007/s12237-019-00638-7.","productDescription":"20 p.","startPage":"1070","endPage":"1089","ipdsId":"IP-102008","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":458463,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-019-00638-7","text":"Publisher Index Page"},{"id":369564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park, Florida Bay Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.903076171875,\n              24.56211235799689\n            ],\n            [\n              -80.2001953125,\n              24.56211235799689\n            ],\n            [\n              -80.2001953125,\n              25.311752681576287\n            ],\n            [\n              -81.903076171875,\n              25.311752681576287\n            ],\n            [\n              -81.903076171875,\n              24.56211235799689\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Wingard, G. Lynn 0000-0002-3833-5207 lwingard@usgs.gov","orcid":"https://orcid.org/0000-0002-3833-5207","contributorId":605,"corporation":false,"usgs":true,"family":"Wingard","given":"G.","email":"lwingard@usgs.gov","middleInitial":"Lynn","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":776052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bergstresser, Sarah E. 0000-0003-0182-5779 sbergstresser@usgs.gov","orcid":"https://orcid.org/0000-0003-0182-5779","contributorId":195556,"corporation":false,"usgs":true,"family":"Bergstresser","given":"Sarah","email":"sbergstresser@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":776053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stackhouse, Bethany 0000-0003-0925-7120","orcid":"https://orcid.org/0000-0003-0925-7120","contributorId":218047,"corporation":false,"usgs":true,"family":"Stackhouse","given":"Bethany","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":776054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Miriam 0000-0002-6650-7619","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":201994,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":776055,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marot, Marci E. 0000-0003-0504-315X mmarot@usgs.gov","orcid":"https://orcid.org/0000-0003-0504-315X","contributorId":2078,"corporation":false,"usgs":true,"family":"Marot","given":"Marci","email":"mmarot@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":776056,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hoefke, Kristen 0000-0001-7690-8726 khoefke@usgs.gov","orcid":"https://orcid.org/0000-0001-7690-8726","contributorId":220877,"corporation":false,"usgs":true,"family":"Hoefke","given":"Kristen","email":"khoefke@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":776059,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Daniels, Andre 0000-0003-4172-2344","orcid":"https://orcid.org/0000-0003-4172-2344","contributorId":204035,"corporation":false,"usgs":true,"family":"Daniels","given":"Andre","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":776057,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Keller, Katherine 0000-0001-6915-5455","orcid":"https://orcid.org/0000-0001-6915-5455","contributorId":218048,"corporation":false,"usgs":false,"family":"Keller","given":"Katherine","email":"","affiliations":[{"id":39732,"text":"Natural Systems Analysts, Harvard University","active":true,"usgs":false}],"preferred":false,"id":776058,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70217731,"text":"70217731 - 2020 - Nitrogen budgets of the Long Island Sound estuary","interactions":[],"lastModifiedDate":"2021-02-01T14:33:51.98955","indexId":"70217731","displayToPublicDate":"2019-11-22T10:02:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen budgets of the Long Island Sound estuary","docAbstract":"<p><span>Nitrogen (N) inputs to coastal ecosystems have significant impacts on coastal community structure. In N limited systems, increases in N inputs may lead to excess productivity and hypoxia. Like many temperate estuaries, Long Island Sound (LIS), a major eastern U.S. estuary, is a N limited system which has experienced seasonal hypoxia since the 1800s. This study is the first effort to constrain the total N cycle in this estuary. The approach utilizes data collected over the last two decades in the LIS time series with hydrodynamic model results to generate both monthly and annual N budgets between 1995 and 2016. Of the total N that is delivered to LIS through rivers and atmospheric inputs, 40% is exported to the adjacent continental shelf on the order of 10.8&nbsp;±&nbsp;8.9&nbsp;×&nbsp;10</span><sup>6</sup><span>&nbsp;kg&nbsp;N/year. Of this export, 41% is dissolved organic N, 29% is particulate organic N, 32% is nitrate&nbsp;+&nbsp;nitrite, and −3% is ammonium. The remaining 60% of the N delivered to LIS is either buried in sediments or lost through denitrification. This inferred internal loss rate is equivalent to 5.4&nbsp;g&nbsp;N/(m</span><sup>2</sup><span>year). This study serves as an example of the significant inter-annual variations that estuarine budgets undergo as efforts to understand coastal biogeochemical cycles move forward.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2019.106493","usgsCitation":"Vlahos, P., Whitney, M., Menniti, C., Mullaney, J., Morrison, J., and Jia, Y., 2020, Nitrogen budgets of the Long Island Sound estuary: Estuarine, Coastal and Shelf Science, v. 232, 106493, 9 p., https://doi.org/10.1016/j.ecss.2019.106493.","productDescription":"106493, 9 p.","ipdsId":"IP-109478","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":437196,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AVXGBB","text":"USGS data release","linkHelpText":"Nitrogen concentrations and loads and seasonal nitrogen loads in selected Long Island Sound tributaries, water years 1995-2016"},{"id":382808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, New York","otherGeospatial":"Long Island Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.8336181640625,\n              40.77638178482896\n            ],\n            [\n              -73.63037109375,\n              40.81796653313175\n            ],\n            [\n              -73.17993164062499,\n              40.88029480552824\n            ],\n            [\n              -72.61962890625,\n              40.9218144123785\n            ],\n            [\n              -72.3834228515625,\n              40.896905775860006\n            ],\n            [\n              -71.8670654296875,\n              41.05864414643029\n            ],\n            [\n              -71.553955078125,\n              41.15384235711447\n            ],\n            [\n              -71.4605712890625,\n              41.413895564677304\n            ],\n            [\n              -72.1856689453125,\n              41.31907562295139\n            ],\n            [\n              -72.784423828125,\n              41.290189955885644\n            ],\n            [\n              -72.9656982421875,\n              41.269549502842565\n            ],\n            [\n              -73.3447265625,\n              41.1455697310095\n            ],\n            [\n              -73.7677001953125,\n              40.97160353279909\n            ],\n            [\n              -73.8720703125,\n              40.834593138080244\n            ],\n            [\n              -73.8336181640625,\n              40.77638178482896\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"232","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vlahos, Penny","contributorId":191277,"corporation":false,"usgs":false,"family":"Vlahos","given":"Penny","email":"","affiliations":[],"preferred":false,"id":809411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitney, Michael 0000-0002-2048-7755","orcid":"https://orcid.org/0000-0002-2048-7755","contributorId":248577,"corporation":false,"usgs":false,"family":"Whitney","given":"Michael","email":"","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":809412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Menniti, Christina","contributorId":248578,"corporation":false,"usgs":false,"family":"Menniti","given":"Christina","email":"","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":809413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mullaney, John R. 0000-0003-4936-5046","orcid":"https://orcid.org/0000-0003-4936-5046","contributorId":203254,"corporation":false,"usgs":true,"family":"Mullaney","given":"John R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":809414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morrison, Jonathan 0000-0002-1756-4609 jmorriso@usgs.gov","orcid":"https://orcid.org/0000-0002-1756-4609","contributorId":2274,"corporation":false,"usgs":true,"family":"Morrison","given":"Jonathan","email":"jmorriso@usgs.gov","affiliations":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":true,"id":809417,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jia, Yan","contributorId":248579,"corporation":false,"usgs":false,"family":"Jia","given":"Yan","email":"","affiliations":[],"preferred":false,"id":809415,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70230128,"text":"70230128 - 2020 - Pleistocene lakes and paleohydrologic environments of the Tecopa basin, California: Constraints on the drainage integration of the Amargosa River","interactions":[],"lastModifiedDate":"2022-03-30T16:07:49.15533","indexId":"70230128","displayToPublicDate":"2019-11-21T11:02:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Pleistocene lakes and paleohydrologic environments of the Tecopa basin, California: Constraints on the drainage integration of the Amargosa River","docAbstract":"<p><span>The Tecopa basin in eastern California was a terminal basin that episodically held lakes during most of the Quaternary until the basin and its modern stream, the Amargosa River, became tributary to Death Valley. Although long studied for its sedimentology, diagenesis, and paleomagnetism, the basin’s lacustrine and paleoclimate history has not been well understood, and conflicting interpretations exist concerning the relations of Tecopa basin to the Amargosa River and to pluvial Lake Manly in Death Valley. Previous studies also did not recognize basinwide tectonic effects on lake-level history. In this study, we focused on: (1) establishing a chronology of shoreline deposits, as the primary indicator of lake-level history, utilizing well-known ash beds and new uranium-series and luminescence dating; (2) using ostracodes as indicators of water chemistry and water source(s); and (3) correlating lake transgressions to well-preserved fluvial-deltaic sequences. During the early Pleistocene, the Tecopa basin hosted small shallow lakes primarily fed by low-alkalinity water sourced mainly from runoff and (or) a groundwater source chemically unlike the modern springs. The first lake that filled the basin occurred just prior and up to the eruption of the 765 ka Bishop ash during marine isotope stage (MIS) 19; this lake heralded the arrival of the Amargosa River, delivering high-alkalinity water. Two subsequent lake cycles, coeval with MIS 16 (leading up to eruption of 631 ka Lava Creek B ash) and MIS 14 and (or) MIS 12, are marked by prominent accumulations of nearshore and beach deposits. The timing of the youngest of these three lakes, the High lake, is constrained by a uranium-series age of ca. 580 ± 120 ka on tufa-cemented beach gravel and by estimates from sedimentation rates. Highstand deposits of the Lava Creek and High lakes at the north end of the basin are stratigraphically tied to distinct sequences of fluvial-deltaic deposits fed by alkaline waters of the Amargosa River. The High lake reached the highest level achieved in the Tecopa basin, and it may have briefly discharged southward but did not significantly erode its threshold. The High lake was followed by a long hiatus of as much as 300 k.y., during which there is evidence for alluvial, eolian, and groundwater-discharge deposition, but no lakes. We attribute this hiatus, as have others, to blockage of the Amargosa River by an alluvial fan upstream near Eagle Mountain. A final lake, the Terminal lake, formed when the river once again flowed south into Tecopa basin, but it was likely short-lived due to rapid incision of the former threshold south of Tecopa. Deposits of the Terminal lake are inset below, and are locally unconformable on, deposits of the High lake and the nonlacustrine deposits of the hiatus. The Terminal lake reached its highstand at ca. 185 ± 21 ka, as dated by infrared-stimulated luminescence on feldspar in beach sand, a time coincident with perennial lake mud and alkaline-tolerant ostracodes in the Badwater core of Lake Manly during MIS 6. A period of stillstand occurred as the Terminal lake drained when the incising river encountered resistant Stirling Quartzite near the head of present-day Amargosa Canyon. Our studies significantly revise the lacustrine and drainage history of the Tecopa basin, show that the MIS 6 highstand was not the largest lake in the basin as previously published (with implications for potential nuclear waste storage at Yucca Mountain, Nevada), and provide evidence from shoreline elevations for ∼20 m of tectonic uplift in the northern part of the basin across an ENE-trending monoclinal flexure.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B35282.1","usgsCitation":"Reheis, M.C., Caskey, J., Bright, J., Paces, J.B., Mahan, S.A., and Wan, E., 2020, Pleistocene lakes and paleohydrologic environments of the Tecopa basin, California: Constraints on the drainage integration of the Amargosa River: GSA Bulletin, v. 132, no. 7-8, p. 1537-1565, https://doi.org/10.1130/B35282.1.","productDescription":"29 p.","startPage":"1537","endPage":"1565","ipdsId":"IP-105957","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":397866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Tecopa basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.25,\n              35\n            ],\n            [\n              -115.5,\n              35\n            ],\n            [\n              -115.5,\n              37\n            ],\n            [\n              -117.25,\n              37\n            ],\n            [\n              -117.25,\n              35\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"132","issue":"7-8","noUsgsAuthors":false,"publicationDate":"2019-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Reheis, Marith C. 0000-0002-8359-323X mreheis@usgs.gov","orcid":"https://orcid.org/0000-0002-8359-323X","contributorId":138571,"corporation":false,"usgs":true,"family":"Reheis","given":"Marith","email":"mreheis@usgs.gov","middleInitial":"C.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":839195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caskey, John","contributorId":289506,"corporation":false,"usgs":false,"family":"Caskey","given":"John","email":"","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":839196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bright, Jordon","contributorId":63981,"corporation":false,"usgs":false,"family":"Bright","given":"Jordon","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":839197,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paces, James B. 0000-0002-9809-8493","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":215864,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":839198,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":839199,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wan, Elmira 0000-0002-9255-112X ewan@usgs.gov","orcid":"https://orcid.org/0000-0002-9255-112X","contributorId":3434,"corporation":false,"usgs":true,"family":"Wan","given":"Elmira","email":"ewan@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":839200,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70206611,"text":"70206611 - 2020 - Ground-motion amplification in Cook Inlet region, Alaska from intermediate-depth earthquakes, including the 2018 MW=7.1  Anchorage earthquake","interactions":[],"lastModifiedDate":"2020-01-03T10:52:00","indexId":"70206611","displayToPublicDate":"2019-11-20T14:53:02","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}},"displayTitle":"Ground-motion amplification in Cook Inlet region, Alaska from intermediate-depth earthquakes, including the 2018 M<sub>W</sub> 7.1  Anchorage earthquake","title":"Ground-motion amplification in Cook Inlet region, Alaska from intermediate-depth earthquakes, including the 2018 MW=7.1  Anchorage earthquake","docAbstract":"<p><span>We measure pseudospectral and peak ground motions from 44 intermediate‐depth&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;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub><mo xmlns=&quot;&quot;>&amp;#x2265;</mo><mn xmlns=&quot;&quot;>4.9</mn></math>\"><span id=\"MathJax-Span-11\" class=\"math\"><span><span id=\"MathJax-Span-12\" class=\"mrow\"><span id=\"MathJax-Span-13\" class=\"msub\"><span id=\"MathJax-Span-14\" class=\"mi\">M</span><sub><span id=\"MathJax-Span-15\" class=\"mi\">w</span></sub></span><span id=\"MathJax-Span-16\" class=\"mo\">≥</span><span id=\"MathJax-Span-17\" class=\"mn\">4.9</span></span></span></span></span></span><span>&nbsp;earthquakes in the Cook Inlet region of southern Alaska, including those from the 2018&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>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-18\" class=\"math\"><span><span id=\"MathJax-Span-19\" class=\"mrow\"><span id=\"MathJax-Span-20\" class=\"msub\"><span id=\"MathJax-Span-21\" class=\"mi\">M</span><sub><span id=\"MathJax-Span-22\" class=\"mi\">w</span></sub></span></span></span></span></span></span><span>&nbsp;7.1 earthquake near Anchorage, to identify regional amplification features (</span><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;><mn xmlns=&quot;&quot;>0.1</mn><mo xmlns=&quot;&quot;>&amp;#x2013;</mo><mn xmlns=&quot;&quot;>5</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>s</mi></math>\"><span id=\"MathJax-Span-23\" class=\"math\"><span><span id=\"MathJax-Span-24\" class=\"mrow\"><span id=\"MathJax-Span-25\" class=\"mn\">0.1</span><span id=\"MathJax-Span-26\" class=\"mo\">–</span><span id=\"MathJax-Span-27\" class=\"mn\">5</span><span id=\"MathJax-Span-28\" class=\"mtext\">  </span><span id=\"MathJax-Span-29\" class=\"mi\">s&nbsp;</span></span></span></span></span></span><span>period). Ground‐motion residuals are computed with respect to an empirical ground‐motion model for intraslab subduction earthquakes, and we compute bias, between‐, and within‐event terms through a linear mixed‐effects regression. Between‐event residuals are analyzed to assess the relative source characteristics of the Cook Inlet earthquakes and suggest a difference in the scaling of the source with depth, relative to global observations. The within‐event residuals are analyzed to investigate regional amplification, and various spatial patterns manifest, including correlations of amplification with depth of the Cook Inlet basin and varying amplifications east and west of the center of the basin. Three earthquake clusters are analyzed separately and indicate spatial amplification patterns that depend on source location and exhibit variations in the depth scaling of long‐period basin amplification. The observations inform future seismic hazard modeling efforts in the Cook Inlet region. More broadly, they suggest a greater complexity of basin and regional amplification than is currently used in seismic hazard analyses.</span></p>","language":"English","publisher":"GeoScienceWorld","doi":"10.1785/0220190179","usgsCitation":"Moschetti, M.P., Thompson, E.M., Rekoske, J., Hearne, M., Powers, P.M., McNamara, D.E., and Tape, C., 2020, Ground-motion amplification in Cook Inlet region, Alaska from intermediate-depth earthquakes, including the 2018 MW=7.1  Anchorage earthquake: Seismological Research Letters, v. 91, no. 1, p. 142-152, https://doi.org/10.1785/0220190179.","productDescription":"11 p.","startPage":"142","endPage":"152","ipdsId":"IP-111751","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":437199,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Y491AY","text":"USGS data release","linkHelpText":"Database of ground motions from in-slab earthquakes near Anchorage, Alaska, 2008-2019"},{"id":369572,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Cook Inlet region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -154.6435546875,\n              58.39019698411526\n            ],\n            [\n              -150.88623046875,\n              59.24341475839977\n            ],\n            [\n              -148.623046875,\n              60.87700804962625\n            ],\n            [\n              -149.2822265625,\n              61.501734289732326\n            ],\n            [\n              -151.1279296875,\n              61.51221638411366\n            ],\n            [\n              -154.35791015625,\n              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emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":146592,"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":false,"id":775166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":775167,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":775168,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":775169,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":775170,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tape, Carl","contributorId":219960,"corporation":false,"usgs":false,"family":"Tape","given":"Carl","email":"","affiliations":[{"id":40098,"text":"Geophysical Institute, 2156 Koyukuk Drive, University of Alaska Fairbanks, Fairbanks, AK 99775","active":true,"usgs":false}],"preferred":false,"id":775171,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70227078,"text":"70227078 - 2020 - RAD-seq refines previous estimates of genetic structure in Lake Erie walleye","interactions":[],"lastModifiedDate":"2021-12-29T15:43:25.641325","indexId":"70227078","displayToPublicDate":"2019-11-19T09:36:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"RAD-seq refines previous estimates of genetic structure in Lake Erie walleye","docAbstract":"<p><span>Delineating population structure helps fishery managers to maintain a diverse “portfolio” of local spawning populations (stocks), as well as facilitate stock-specific management. In Lake Erie, commercial and recreational fisheries for Walleye&nbsp;</span><i>Sander vitreus</i><span>&nbsp;exploit numerous local spawning populations, which cannot be easily differentiated using traditional genetic data (e.g., microsatellites). Here, we used genomic information (12,264 polymorphic loci) generated using restriction site-associated DNA sequencing to investigate stock structure in Lake Erie Walleye. We found low genetic divergence (genetic differentiation index&nbsp;</span><i>F</i><sub>ST</sub><span>&nbsp;=&nbsp;0.0006–0.0019) among the four Lake Erie western basin stocks examined, which resulted in low classification accuracies for individual samples (40–60%). However, more structure existed between western and eastern Lake Erie basin stocks (</span><i>F</i><sub>ST</sub><span>&nbsp;=&nbsp;0.0042–0.0064), resulting in greater than 95% classification accuracy of samples to a lake basin. Thus, our success in using genomics to identify stock structure varied with spatial scale. Based on our results, we offer suggestions to improve the efficacy of this new genetic tool for refining stock structure and eventually determining relative stock contributions in Lake Erie Walleye and other Great Lakes populations.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10215","usgsCitation":"Chen, K., Euclide, P., Ludsin, S., Larson, W., Sovic, M.G., Gibbs, H.L., and Marschall, E., 2020, RAD-seq refines previous estimates of genetic structure in Lake Erie walleye: Transactions of the American Fisheries Society, v. 149, no. 20, p. 159-173, https://doi.org/10.1002/tafs.10215.","productDescription":"15 p.","startPage":"159","endPage":"173","ipdsId":"IP-107069","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":393592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, New York, Ohio, Ontario, Pennsylvania","otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.72802734375,\n              42.84375132629021\n            ],\n            [\n              -81.34277343749999,\n              42.69858589169842\n            ],\n            [\n              -83.21044921875,\n              42.5530802889558\n            ],\n            [\n              -83.583984375,\n              42.01665183556825\n            ],\n            [\n              -83.73779296875,\n              41.541477666790286\n            ],\n            [\n              -82.63916015625,\n              41.16211393939692\n            ],\n            [\n              -80.96923828125,\n              41.47566020027821\n            ],\n            [\n              -79.716796875,\n              42.06560675405716\n            ],\n            [\n              -78.72802734375,\n              42.84375132629021\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"149","issue":"20","noUsgsAuthors":false,"publicationDate":"2020-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Chen, Kuan-Yu","contributorId":270528,"corporation":false,"usgs":false,"family":"Chen","given":"Kuan-Yu","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":829535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Euclide, Peter T.","contributorId":270530,"corporation":false,"usgs":false,"family":"Euclide","given":"Peter T.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":829536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ludsin, Stuart A.","contributorId":270532,"corporation":false,"usgs":false,"family":"Ludsin","given":"Stuart A.","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":829537,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larson, Wesley 0000-0003-4473-3401 wlarson@usgs.gov","orcid":"https://orcid.org/0000-0003-4473-3401","contributorId":199509,"corporation":false,"usgs":true,"family":"Larson","given":"Wesley","email":"wlarson@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":829534,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sovic, Michael G.","contributorId":270534,"corporation":false,"usgs":false,"family":"Sovic","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":829538,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gibbs, H. Lisle","contributorId":270536,"corporation":false,"usgs":false,"family":"Gibbs","given":"H.","email":"","middleInitial":"Lisle","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":829539,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marschall, Elizabeth A.","contributorId":270538,"corporation":false,"usgs":false,"family":"Marschall","given":"Elizabeth A.","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":829540,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70207468,"text":"70207468 - 2020 - Holocene rupture history of the central Teton fault at Leigh Lake; Grand Teton National Park, Wyoming","interactions":[],"lastModifiedDate":"2020-12-18T21:19:20.569509","indexId":"70207468","displayToPublicDate":"2019-11-19T07:22:22","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":"Holocene rupture history of the central Teton fault at Leigh Lake; Grand Teton National Park, Wyoming","docAbstract":"<p>Prominent scarps on Pinedale glacial surfaces along the eastern base of the Teton Range confirm latest Pleistocene to Holocene surface‐faulting earthquakes on the Teton fault, but the timing of these events is only broadly constrained by a single previous paleoseismic study. We excavated two trenches at the Leigh Lake site near the center of the Teton fault to address open questions about earthquake timing and rupture length. Structural and stratigraphic evidence indicates two surface‐faulting earthquakes at the site that postdate deglacial sediments dated by radiocarbon and optically stimulated luminescence to ∼10–11 ka⁠. Earthquake LL2 occurred at ∼10.0 ka (9.7–10.4 ka; 95% confidence range) and LL1 at ∼5.9 ka (4.8–7.1 ka; 95%). LL2 predates an earthquake at ∼8ka identified in the previous paleoseismic investigation at Granite Canyon. LL1 corresponds to the most recent Granite Canyon earthquake at ∼4.7–7.9 ka (95% confidence range). Our results are consistent with the previously documented long‐elapsed time since the most recent Teton fault rupture and expand the fault’s earthquake history into the early Holocene.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120190129","usgsCitation":"Zellman, M., DuRoss, C., Thackray, G.R., Personius, S., Reitman, N.G., Mahan, S.A., and Brossy, C., 2020, Holocene rupture history of the central Teton fault at Leigh Lake; Grand Teton National Park, Wyoming: Bulletin of the Seismological Society of America, v. 110, no. 1, p. 67-82, https://doi.org/10.1785/0120190129.","productDescription":"16 p.","startPage":"67","endPage":"82","ipdsId":"IP-111443","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":370540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Grand Teton National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.928955078125,\n              43.671844983221604\n            ],\n            [\n              -110.38238525390625,\n              43.671844983221604\n            ],\n            [\n              -110.38238525390625,\n              44.12702800650004\n            ],\n            [\n              -110.928955078125,\n              44.12702800650004\n            ],\n            [\n              -110.928955078125,\n              43.671844983221604\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"110","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Zellman, Mark","contributorId":167020,"corporation":false,"usgs":false,"family":"Zellman","given":"Mark","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":778161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DuRoss, Christopher B. 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":778162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thackray, Glenn R.","contributorId":221430,"corporation":false,"usgs":false,"family":"Thackray","given":"Glenn","email":"","middleInitial":"R.","affiliations":[{"id":40375,"text":"Department of Geosciences,  Idaho State University","active":true,"usgs":false}],"preferred":false,"id":778163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Personius, Stephen 0000-0001-8347-7370 personius@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-7370","contributorId":150055,"corporation":false,"usgs":true,"family":"Personius","given":"Stephen","email":"personius@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":778164,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reitman, Nadine G. 0000-0002-6730-2682 nreitman@usgs.gov","orcid":"https://orcid.org/0000-0002-6730-2682","contributorId":5816,"corporation":false,"usgs":true,"family":"Reitman","given":"Nadine","email":"nreitman@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":778165,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":778166,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brossy, Cooper","contributorId":221431,"corporation":false,"usgs":false,"family":"Brossy","given":"Cooper","affiliations":[],"preferred":false,"id":778167,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70211921,"text":"70211921 - 2020 - Gaps and hotspots in the state of knowledge of pinyon-juniper communities","interactions":[],"lastModifiedDate":"2020-08-11T20:24:40.554658","indexId":"70211921","displayToPublicDate":"2019-11-18T15:15:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Gaps and hotspots in the state of knowledge of pinyon-juniper communities","docAbstract":"<p><span>Pinyon-juniper (PJ) plant communities cover a large area across North America and provide critical habitat for wildlife, biodiversity and ecosystem functions, and rich cultural resources. These communities occur across a variety of environmental gradients, disturbance regimes, structural conditions and species compositions, including three species of juniper and two species of pinyon. PJ communities have experienced substantial changes in recent decades and identifying appropriate management strategies for these diverse communities is a growing challenge. Here, we surveyed the literature and compiled 441 studies to characterize patterns in research on PJ communities through time, across geographic space and climatic conditions, and among focal species. We evaluate the state of knowledge for three focal topics: 1) historical stand dynamics and responses to disturbance, 2) land management actions and their effects, and 3) potential future responses to changing climate. We identified large and potentially important gaps in our understanding of pinyon-juniper communities both geographically and topically. The effect of drought on&nbsp;</span><i>Pinus edulis,</i><span>&nbsp;the pinyon pine species in eastern PJ communities was frequently addressed, while few studies focused on drought effects on&nbsp;</span><i>Pinus monophylla</i><span>, which occurs in western PJ communities. The largest proportion of studies that examined land management actions only measured their effects for one year. Grazing was a common land-use across the geographic range of PJ communities yet was rarely studied. We found only 39 studies that had information on the impacts of anthropogenic climate change and most were concentrated on&nbsp;</span><i>Pinus edulis</i><span>. These results provide a synthetic perspective on PJ communities that can help natural resource managers identify relevant knowledge needed for decision-making and researchers design new studies to fill important knowledge gaps.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2019.117628","usgsCitation":"Hartsell, J.A., Copeland, S., Munson, S.M., Butterfield, B.J., and Bradford, J., 2020, Gaps and hotspots in the state of knowledge of pinyon-juniper communities: Forest Ecology and Management, v. 455, 117628, 23 p., https://doi.org/10.1016/j.foreco.2019.117628.","productDescription":"117628, 23 p.","ipdsId":"IP-108384","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":458505,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2019.117628","text":"Publisher Index Page"},{"id":437204,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LWZN72","text":"USGS data release","linkHelpText":"Pinyon and Juniper location data, including a literature review citation list of Pinyon-Juniper systems from 1909 to 2018"},{"id":377388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Nevada, New Mexico, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.47998046875,\n              32.491230287947594\n            ],\n            [\n              -103.90869140625,\n              36.79169061907076\n            ],\n            [\n              -104.5458984375,\n              40.329795743702064\n            ],\n            [\n              -110.8740234375,\n              40.697299008636755\n            ],\n            [\n              -111.86279296875,\n              41.60722821271717\n            ],\n            [\n              -116.05957031249999,\n              41.45919537950706\n            ],\n            [\n              -119.81689453125,\n              37.59682400108367\n            ],\n            [\n              -117.35595703124999,\n              34.939985151560435\n            ],\n            [\n              -112.4560546875,\n              32.43561304116276\n            ],\n            [\n              -109.2041015625,\n              31.466153715024294\n            ],\n            [\n              -108.2373046875,\n              31.372399104880525\n            ],\n            [\n              -108.17138671875,\n              31.784216884487385\n            ],\n            [\n              -104.19433593749999,\n              31.952162238024975\n            ],\n            [\n              -104.47998046875,\n              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smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":795821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":795822,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":795823,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70206749,"text":"70206749 - 2020 - Petroleum hydrocarbons in semipermeable membrane devices deployed in the Northern Gulf of Mexico and Florida keys following the Deepwater Horizon incident","interactions":[],"lastModifiedDate":"2020-01-03T10:43:16","indexId":"70206749","displayToPublicDate":"2019-11-06T16:03:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Petroleum hydrocarbons in semipermeable membrane devices deployed in the Northern Gulf of Mexico and Florida keys following the Deepwater Horizon incident","docAbstract":"<p><span>The&nbsp;</span><i>Deepwater Horizon</i><span>&nbsp;(DWH) oil spill from April to July of 2010 contaminated Gulf of Mexico waters through release of an estimated 4.1 × 10</span><sup>6</sup><span>&nbsp;barrels of oil. Beginning in June of 2010, semipermeable membrane devices (SPMDs) were deployed near areas with sensitive marine habitats (Alabama Alps and Western Shelf) potentially exposed to that oil. Elevated TPAH50 concentrations, flux rates and similarity of histograms and diagnostic ratios for polycyclic aromatic hydrocarbons (PAH) from SPMDs to weathered floating oil collected during the DWH spill indicates the Alabama Alps habitats were affected. While not affected by oil from the DWH spill, the temporal pattern of PAH contamination of SPMDs deployed near the Western Shelf between July 2010 and March 2011 could indicate prevailing currents affected contaminant transport to the Western Shelf Area (East and West Flower Garden, Sonnier, and Stetson Banks) from non-DWH sources, including oil and gas exploration, shipping, and Mississippi River effluent.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2019.110622","usgsCitation":"Bargar, T., Alvarez, D.A., and Stout, S.A., 2020, Petroleum hydrocarbons in semipermeable membrane devices deployed in the Northern Gulf of Mexico and Florida keys following the Deepwater Horizon incident: Marine Pollution Bulletin, v. 150, 110662, 8 p., https://doi.org/10.1016/j.marpolbul.2019.110622.","productDescription":"110662, 8 p.","ipdsId":"IP-101106","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":458535,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpolbul.2019.110622","text":"Publisher Index Page"},{"id":369362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Mexico","state":"Florida","otherGeospatial":"Northern Gulf of Mexico, Florida Keys","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.4384765625,\n              25.443274612305746\n            ],\n            [\n              -89.56054687499999,\n              25.443274612305746\n            ],\n            [\n              -89.56054687499999,\n              27.800209937418252\n            ],\n            [\n              -94.4384765625,\n              27.800209937418252\n            ],\n            [\n              -94.4384765625,\n              25.443274612305746\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.6396484375,\n              25.20494115356912\n            ],\n            [\n              -82.08984375,\n              24.766784522874453\n            ],\n            [\n              -82.3974609375,\n              24.246964554300924\n            ],\n            [\n              -81.7822265625,\n              24.00632619875113\n            ],\n            [\n              -80.0244140625,\n              25.045792240303445\n            ],\n            [\n              -80.6396484375,\n              25.20494115356912\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"150","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bargar, Timothy 0000-0001-8588-3436","orcid":"https://orcid.org/0000-0001-8588-3436","contributorId":220762,"corporation":false,"usgs":true,"family":"Bargar","given":"Timothy","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":775649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alvarez, David A. 0000-0002-6918-2709","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":220763,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":775650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stout, Scott A.","contributorId":207029,"corporation":false,"usgs":false,"family":"Stout","given":"Scott","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":775651,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208099,"text":"70208099 - 2020 - Pleistocene glacial cycles drove lineage diversification and fusion in the Yosemite toad (Anaxyrus canorus)","interactions":[],"lastModifiedDate":"2020-01-29T16:02:26","indexId":"70208099","displayToPublicDate":"2019-10-29T19:46:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1598,"text":"Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Pleistocene glacial cycles drove lineage diversification and fusion in the Yosemite toad (<i>Anaxyrus canorus</i>)","title":"Pleistocene glacial cycles drove lineage diversification and fusion in the Yosemite toad (Anaxyrus canorus)","docAbstract":"<p>Species endemic to alpine environments can evolve via steep ecological selection gradients between lowland and upland environments. Additionally, many alpine environments have faced repeated glacial episodes over the past two million years, fracturing these endemics into isolated populations. In this “glacial pulse” model of alpine diversification, cycles of allopatry and ecologically divergent glacial refugia play a role in generating biodiversity, including novel admixed (“fused”) lineages. We tested for patterns of glacial pulse lineage diversification in the Yosemite toad (<i>Anaxyrus </i>[<i>Bufo</i>] <i>canorus</i>), an alpine endemic tied to glacially influenced meadow environments. Using double‐digest RADseq on populations densely sampled from a portion of the species range, we identified nine distinct lineages with divergence times ranging from 18 to 724 thousand years ago (ka), coinciding with multiple Sierra Nevada glacial events. Three lineages have admixed origins, and demographic models suggest these fused lineages have persisted throughout past glacial cycles. Directionality indices supported the hypothesis that some lineages recolonized Yosemite from east of the ice sheet, whereas other lineages remained in western refugia. Finally, refugial niche reconstructions suggest that low‐ and high‐elevation lineages have convergently adapted to similar climatic niches. Our results suggest glacial cycles and refugia may be important crucibles of adaptive diversity across deep evolutionary time.</p>","language":"English","publisher":"Wiley","doi":"10.1111/evo.13868","usgsCitation":"Maier, P., Vandergast, A.G., Ostoja, S.M., Aguilar, A., and Bohonak, A.J., 2020, Pleistocene glacial cycles drove lineage diversification and fusion in the Yosemite toad (Anaxyrus canorus): Evolution, p. 2476-2496, https://doi.org/10.1111/evo.13868.","productDescription":"21 p.","startPage":"2476","endPage":"2496","ipdsId":"IP-110890","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":487192,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Pleistocene_glacial_cycles_drove_lineage_diversification_and_fusion_in_the_Yosemite_toad_Anaxyrus_canorus_/10260362","text":"External Repository"},{"id":437207,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KABYPU","text":"USGS data release","linkHelpText":"Reduced representation sequencing data for Yosemite Toad (Anaxyrus canorus) populations in the southern Sierra Nevada "},{"id":371626,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Yosemite National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.76470947265625,\n              37.61640705577992\n            ],\n            [\n              -119.12750244140625,\n              37.61640705577992\n            ],\n            [\n              -119.12750244140625,\n              37.93769926732864\n            ],\n            [\n              -119.76470947265625,\n              37.93769926732864\n            ],\n            [\n              -119.76470947265625,\n              37.61640705577992\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Maier, Paul A. 0000-0003-0851-8827","orcid":"https://orcid.org/0000-0003-0851-8827","contributorId":221033,"corporation":false,"usgs":false,"family":"Maier","given":"Paul A.","affiliations":[{"id":40313,"text":"Department of Biology, San Diego State","active":true,"usgs":false}],"preferred":false,"id":780458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vandergast, Amy G. 0000-0002-7835-6571 avandergast@usgs.gov","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":3963,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","email":"avandergast@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ostoja, Steven M sostoja@usgs.gov","contributorId":192955,"corporation":false,"usgs":false,"family":"Ostoja","given":"Steven","email":"sostoja@usgs.gov","middleInitial":"M","affiliations":[],"preferred":false,"id":780459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aguilar, Andres","contributorId":195155,"corporation":false,"usgs":false,"family":"Aguilar","given":"Andres","email":"","affiliations":[],"preferred":false,"id":780460,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bohonak, Andrew J.","contributorId":195156,"corporation":false,"usgs":false,"family":"Bohonak","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":780461,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208058,"text":"70208058 - 2020 - Plate boundary localization, slip-rates and rupture segmentation of the Queen Charlotte Fault based on submarine tectonic geomorphology","interactions":[],"lastModifiedDate":"2023-11-08T16:57:08.69022","indexId":"70208058","displayToPublicDate":"2019-10-23T07:00:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Plate boundary localization, slip-rates and rupture segmentation of the Queen Charlotte Fault based on submarine tectonic geomorphology","docAbstract":"Linking fault behavior over many earthquake cycles to individual earthquake behavior is a primary goal in tectonic geomorphology, particularly across an entire plate boundary. Here, we examine the 1150-km-long, right-lateral Queen Charlotte-Fairweather fault system using comprehensive multibeam bathymetry data acquired along the Queen Charlotte Fault (QCF) offshore southeastern Alaska and western British Columbia. Fine-scale analysis of tectonic geomorphology allowed us to identify and reconstruct 184 strike-slip piercing points over a 630 km stretch of the QCF. Age constraints from glacial recession and offshore sedimentation patterns yield a consistent slip-rate of ∼50–57 mm/yr since ∼17–12 ka, the fastest rate for a continent-ocean strike-slip fault on Earth. These slip-rates equal or exceed estimates of Pacific-North America (PA-NA) relative motion from global plate reconstructions, indicating that PA-NA motion is highly localized. The QCF cuts the seafloor along a narrow and unusually straight trace for its entire length and multiple fault traces are observed only at local step-overs. The geometry and behavior of the QCF over many earthquake cycles is simple and typical of mature faults with relatively homogeneous stress fields. Since the QCF is the primary PA-NA plate boundary, we used the trace of the QCF to define the small circle path for relative plate motion and computed the associated Euler pole. Predicted along-strike obliquity variations based on the new pole agree with observed tectonic geomorphology and suggest that previous global plate reconstructions overestimated the degree of oblique convergence along the QCF. We also find that subtle, long-wavelength (75–150 km) bends and discrete step-overs appear to define the endpoints of M>7 earthquakes, suggesting that obliquity and resultant fault geometry may control rupture segmentation and asperity development. Lastly, the agreement between predicted obliquity and tectonic geomorphology along the entire length of QCF compelled a reevaluation of regional tectonic models. In the north, the eastern Yakatat Terrane appears to be translating northwest with the Pacific plate, and slip transferred from the QCF to the Fairweather Fault results in ∼20 mm/yr of convergence along the southern St. Elias mountains. In the south, we predict a reduced rate of convergence along the QCF west of Haida Gwaii (∼5–6 mm/yr of shortening, on average) relative to previous studies. Our results support a model for transpression and strike-slip partitioning along the edge of a hot and weak Pacific Plate, leading to crustal thickening and growth of the Queen Charlotte Terrace to the west of Haida Gwaii.","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2019.115882","usgsCitation":"Brothers, D.S., Miller, N.C., Barrie, V., Haeussler, P., Greene, H.G., Andrews, B.D., Zielke, O., and Dartnell, P., 2020, Plate boundary localization, slip-rates and rupture segmentation of the Queen Charlotte Fault based on submarine tectonic geomorphology: Earth and Planetary Science Letters, no. 530, 115882, 16 p., https://doi.org/10.1016/j.epsl.2019.115882.","productDescription":"115882, 16 p.","ipdsId":"IP-112239","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":458583,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2019.115882","text":"Publisher Index Page"},{"id":371553,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, British Columbia","otherGeospatial":"Queen Charlotte fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -133.4951629472878,\n              51.22355291983479\n            ],\n            [\n              -128.93798737425547,\n              52.061072194022785\n            ],\n            [\n              -134.9579573372683,\n              59.85011582268859\n            ],\n            [\n              -142.21165991313777,\n              60.39645421234209\n            ],\n            [\n              -133.4951629472878,\n              51.22355291983479\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","issue":"530","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brothers, Daniel S. 0000-0001-7702-157X dbrothers@usgs.gov","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":221807,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel","email":"dbrothers@usgs.gov","middleInitial":"S.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":780295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Nathaniel C. 0000-0003-3271-2929 ncmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3271-2929","contributorId":174592,"corporation":false,"usgs":true,"family":"Miller","given":"Nathaniel","email":"ncmiller@usgs.gov","middleInitial":"C.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":780296,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barrie, Vaughn 0000-0001-9742-4325","orcid":"https://orcid.org/0000-0001-9742-4325","contributorId":221808,"corporation":false,"usgs":false,"family":"Barrie","given":"Vaughn","email":"","affiliations":[{"id":40433,"text":"NRCAN","active":true,"usgs":false}],"preferred":false,"id":780297,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":780298,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Greene, H. 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,{"id":70206418,"text":"70206418 - 2020 - Low streamflow trends at human-impacted and reference basins in the United States","interactions":[],"lastModifiedDate":"2019-11-04T14:42:50","indexId":"70206418","displayToPublicDate":"2019-10-18T14:36:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Low streamflow trends at human-impacted and reference basins in the United States","docAbstract":"We present a continent-scale exploration of trends in annual 7-day low streamflows at 2482 U.S. Geological Survey streamgages across the conterminous United States over the past 100, 75, and 50 years (1916–2015, 1941–2015 and 1966–2015). We used basin characteristics to identify subsets of study basins representative of reference basins with streamflow relatively free from human effects (n = 259), and predominantly agricultural basins (n = 78), regulated basins (n = 220), and urban basins (n = 121). Trend significance was computed using the Mann-Kendall test considering short- and long-term persistence. Lag-one autocorrelation tests of detrended 7-day low streamflows for all gage classes show that time-series independence is not an appropriate assumption for annual low streamflow data at many basins. Among all study gages, upward trends (wetter conditions) in 7-day low streamflows outnumbered downward trends (drier conditions) approximately 2–1 for the 75- and 100-year trend periods—50-year trends indicated roughly equal numbers of increases and decreases. Increases in 7-day low streamflow were consistently observed for all time periods throughout much of the northeastern quadrant of the conterminous U.S. including western New England and the Mid-Atlantic, the southeastern Great Lakes basin, northern Ohio River basin, and the Upper Mississippi River and eastern Missouri River basins. Decreases in 7-day low streamflow were consistently observed for all time periods at many gages in the southeastern U.S. and in the northwestern U.S. in much of Idaho and northwestern Washington. Overall, we observed greater percentages of statistically significant trends at gages with human-induced influences than at reference gages. Low-flow trends at agricultural gages were regionally consistent with trends at reference gages. Regulated basins had many statistically significant upward trends for all three time periods tested, which may be attributed in part to substantial increases in dam-related storage prior to 1970. Urban gages had the greatest percentage of significant decreases in 7-day low flows compared to all other gage classes even though most urban gages saw upward trends in mean annual flows. Urban gages also had the greatest percentage of significant increases in low flows second only to regulated gages, highlighting that urban development can increase or decrease low streamflows depending on the basin-specific development.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2019.124254","usgsCitation":"Dudley, R., Hirsch, R.M., Archfield, S.A., Blum, A., and Renard, B., 2020, Low streamflow trends at human-impacted and reference basins in the United States: Journal of Hydrology, v. 580, 124254, 13 p., https://doi.org/10.1016/j.jhydrol.2019.124254.","productDescription":"124254, 13 p.","ipdsId":"IP-098641","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":458591,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2019.124254","text":"Publisher Index 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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dudley, Robert W. 0000-0002-0934-0568","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":220211,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":774479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":774480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":774481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blum, Annalise G.","contributorId":193846,"corporation":false,"usgs":false,"family":"Blum","given":"Annalise G.","affiliations":[],"preferred":false,"id":774482,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Renard, Benjamin","contributorId":177291,"corporation":false,"usgs":false,"family":"Renard","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":774483,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203892,"text":"70203892 - 2020 - The contributions and influence of two Americans, Henry S. Washington and Frank A. Perret, to the study of Italian volcanism with emphasis on volcanoes in the Naples area","interactions":[],"lastModifiedDate":"2019-12-03T10:47:43","indexId":"70203892","displayToPublicDate":"2019-10-18T10:44:16","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"2","title":"The contributions and influence of two Americans, Henry S. Washington and Frank A. Perret, to the study of Italian volcanism with emphasis on volcanoes in the Naples area","docAbstract":"<p id=\"abspara0010\">A century ago, two Americans, Henry Stephens Washington and Frank Alvord Perret, made significant contributions to the geology, petrology, and volcanology of Italy, in particular to those volcanoes in the Naples area, Vesuvius, Campi Flegrei (Phlegraean Fields), and the Island of Ischia. Both were from the eastern United States, both were born in 1867, and both studied physics as undergraduates. However, each man followed a different scientific path and approach in his volcanological studies. Washington was classically trained and more interested in rock chemistry, mineralogy, and petrogenesis. Perret was a gifted inventor, worked in Edison's laboratory, established his own company, and was a keen observer of volcanic phenomena and processes; today he would be called a “physical volcanologist” Each man published classic works on Italian volcanoes,<span>&nbsp;</span><i>The Roman Comagmatic Region</i><span>&nbsp;</span>(Washington, 1906) and<span>&nbsp;</span><i>The Vesuvius Eruption of 1906</i><span>&nbsp;</span>(Perret, 1924); both were published by the Carnegie Institution of Washington. However, both men had cosmopolitan tastes for other volcanoes, and they traveled widely and made significant contributions to the knowledge of other volcanic areas.</p><p id=\"abspara0015\">The following two sections present, albeit briefly, their work, significance, and influence to Italian volcanism with emphasis on those volcanoes in the Naples area.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Vesuvius, Campi Flegrei, and Campanian Volcanism","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-816454-9.00002-X","isbn":"9780128164549","usgsCitation":"Belkin, H.E., and Gidwitz, T., 2020, The contributions and influence of two Americans, Henry S. Washington and Frank A. Perret, to the study of Italian volcanism with emphasis on volcanoes in the Naples area, chap. 2 <i>of</i> Vesuvius, Campi Flegrei, and Campanian Volcanism, p. 9-32, https://doi.org/10.1016/B978-0-12-816454-9.00002-X.","productDescription":"24 p.","startPage":"9","endPage":"32","ipdsId":"IP-103762","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":369863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Naples","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              13.903198242187498,\n              40.49500373230525\n            ],\n            [\n              15.227050781249998,\n              40.49500373230525\n            ],\n            [\n              15.227050781249998,\n              41.09384217129622\n            ],\n            [\n              13.903198242187498,\n              41.09384217129622\n            ],\n            [\n              13.903198242187498,\n              40.49500373230525\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Belkin, Harvey E. 0000-0001-7879-6529","orcid":"https://orcid.org/0000-0001-7879-6529","contributorId":190267,"corporation":false,"usgs":false,"family":"Belkin","given":"Harvey","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":764614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gidwitz, Tom","contributorId":216357,"corporation":false,"usgs":false,"family":"Gidwitz","given":"Tom","email":"","affiliations":[{"id":33295,"text":"independent consultant","active":true,"usgs":false}],"preferred":false,"id":764615,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70219053,"text":"70219053 - 2020 - Organic petrography of Leonardian (Wolfcamp A) mudrocks and carbonates, Midland Basin, Texas: The fate of oil-prone sedimentary organic matter in the oil window","interactions":[],"lastModifiedDate":"2021-03-22T13:08:22.48094","indexId":"70219053","displayToPublicDate":"2019-10-14T08:01:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Organic petrography of Leonardian (Wolfcamp A) mudrocks and carbonates, Midland Basin, Texas: The fate of oil-prone sedimentary organic matter in the oil window","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">To better understand evolution of oil-prone sedimentary organic matter to petroleum and expulsion from source rock, we evaluated organic petrographic features of Leonardian Wolfcamp A repetitive siliceous and calcareous mudrock and fine-grained carbonate lithofacies cycles occurring in the R. Ricker #1 core from Reagan County, Midland Basin, Texas. The objectives of the petrographic investigation were to estimate thermal maturity, identify organic matter types and abundances, and identify the presence or absence of migrated hydrocarbons in organic-lean carbonate layers. An integrated analytical program included geochemical screening [total organic carbon (TOC) content by LECO, programmed pyrolysis by hydrocarbon analyzer with kinetics (HAWK) including analysis of solvent-extracted samples], X-ray diffraction mineralogy, organic petrography, scanning electron microscopy with energy dispersive spectroscopy (SEM-EDS) including correlative light and electron microscopy (CLEM), and micro-Fourier transform infrared spectroscopy (μ-FTIR) analyses of solid bitumen. The data indicate all samples are early to middle oil window thermal maturity with solid bitumen reflectance (BR<sub>o</sub>) values of 0.55–0.86% and T<sub>max</sub><span>&nbsp;</span>of 440–455 °C. Organic matter is predominantly solid bitumen (as identified by optical microscopy) in all lithofacies with minor contributions from inertinite. Solid bitumen abundance decreases from siliceous mudrock (TOC &gt;3.0 wt%) to calcareous mudrock (TOC 1.0 to 3.0 wt%) to fine-grained carbonate (TOC &lt;1.0 wt%) lithofacies. Interpretations of petrographic data suggest siliceous and calcareous mudrocks are source rock lithofacies and contain solid bitumen (with petroleum generation potential) that is residual (what remains) from conversion of an original Type II sedimentary organic matter. In turn, fine-grained carbonates are interpreted as reservoir lithofacies which contained little or no original oil-prone sedimentary organic matter and at present-day contain only a minor component of migrated solid petroleum sourced from adjacent siliceous and calcareous mudrock lithofacies. This work helps to document petroleum generation and migration processes, improve unconventional reservoir characterization and better define areas of oil window thermal maturity in an area critical to United States hydrocarbon production.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2019.104086","usgsCitation":"Hackley, P.C., Zhang, T., Jubb, A., Valentine, B.J., Dulong, F.T., and Hatcherian, J.J., 2020, Organic petrography of Leonardian (Wolfcamp A) mudrocks and carbonates, Midland Basin, Texas: The fate of oil-prone sedimentary organic matter in the oil window: Marine and Petroleum Geology, v. 112, 104086, 15 p., https://doi.org/10.1016/j.marpetgeo.2019.104086.","productDescription":"104086, 15 p.","ipdsId":"IP-103969","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":458604,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpetgeo.2019.104086","text":"Publisher Index Page"},{"id":437209,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P923A75B","text":"USGS data release","linkHelpText":"Organic Petrography and Diagenesis of Leonardian Mudrocks and Carbonates, Midland Basin, Texas (2018)"},{"id":384535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Midland basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.88671875,\n              30.372875188118016\n            ],\n            [\n              -99.7998046875,\n              30.372875188118016\n            ],\n            [\n              -99.7998046875,\n              33.94335994657882\n            ],\n            [\n              -103.88671875,\n              33.94335994657882\n            ],\n            [\n              -103.88671875,\n              30.372875188118016\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"112","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":812602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Tongwei","contributorId":225214,"corporation":false,"usgs":false,"family":"Zhang","given":"Tongwei","affiliations":[{"id":41078,"text":"Pasadena, CA","active":true,"usgs":false}],"preferred":false,"id":812603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812608,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","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":812609,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dulong, Frank T. 0000-0001-7388-647X fdulong@usgs.gov","orcid":"https://orcid.org/0000-0001-7388-647X","contributorId":650,"corporation":false,"usgs":true,"family":"Dulong","given":"Frank","email":"fdulong@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812610,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hatcherian, Javin J. 0000-0001-9151-6798 jhatcherian@usgs.gov","orcid":"https://orcid.org/0000-0001-9151-6798","contributorId":195770,"corporation":false,"usgs":true,"family":"Hatcherian","given":"Javin","email":"jhatcherian@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812611,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70215095,"text":"70215095 - 2020 - Identifying important military installations for continental-scale conservation of marsh bird breeding habitat","interactions":[],"lastModifiedDate":"2020-10-08T13:46:51.750002","indexId":"70215095","displayToPublicDate":"2019-10-11T08:38:08","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Identifying important military installations for continental-scale conservation of marsh bird breeding habitat","docAbstract":"<p><span>Degradation of wetland ecosystems has negatively impacted many species, perhaps none more so than marsh birds that breed in vegetative emergent wetlands throughout North America. The U.S. Department of Defense manages approximately 29 million acres of land within the continental U.S., and many military installations contain wetland complexes that may be important for wetland birds. Thus, failure to adequately manage habitat for marsh birds could result in species extirpations and additional listings under the Endangered Species Act, and may result in regulatory burdens that reduce military readiness. We conducted spatial analyses to identify important breeding habitat on &gt; 500 military installations for 12 species of marsh birds, with the goal of identifying installations that are, and are not, likely to harbor breeding habitat for each species. We also sought to assess the local value of military installations for species of greatest concern by comparing habitat suitability within installations to that in areas directly adjacent to those sites. We built range-wide, spatially-explicit models of species distribution to project suitability of breeding habitat for marsh birds within and adjacent to military installations. Our results demonstrate that installations with the best marsh bird habitat are geographically aggregated (both among and within species), primarily at sites along the eastern seaboard and within the southern U.S. In addition, only a few sites appear to contain high-quality habitat for most species. Five or fewer sites contained most of the high-quality habitat for 9 of 12 species, whereas most of the high-quality habitat for remaining species was found at ≤ 10 sites. This work fills an information gap regarding the distribution of breeding habitat for marsh birds on military lands across the U.S., and should facilitate both strategic conservation of habitat over broad scales and the integration of marsh birds into management efforts at the site level. Our analyses also identify installations that are&nbsp;</span><i>not</i><span>&nbsp;likely to harbor breeding habitat for priority species, and thus should help minimize conflicts between needs of the military and marsh-bird conservation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2019.109664","usgsCitation":"Stevens, B.S., and Conway, C.J., 2020, Identifying important military installations for continental-scale conservation of marsh bird breeding habitat: Journal of Environmental Management, v. 252, 109664, 8 p., https://doi.org/10.1016/j.jenvman.2019.109664.","productDescription":"109664, 8 p.","ipdsId":"IP-105637","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":458609,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2019.109664","text":"Publisher Index 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     [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"252","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Bryan S.","contributorId":171809,"corporation":false,"usgs":false,"family":"Stevens","given":"Bryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":800825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":800826,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70205935,"text":"70205935 - 2020 - Changes in event‐based streamflow magnitude and timing after suburban development with infiltration‐based stormwater management","interactions":[],"lastModifiedDate":"2020-01-20T12:16:24","indexId":"70205935","displayToPublicDate":"2019-10-09T13:33:44","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":"Changes in event‐based streamflow magnitude and timing after suburban development with infiltration‐based stormwater management","docAbstract":"Green stormwater infrastructure implementation in urban watersheds has outpaced our understanding of practice effectiveness on streamflow response to precipitation events. Long‐term monitoring of experimental urban watersheds in Clarksburg, Maryland, USA, provided an opportunity to examine changes in event‐based streamflow metrics in two treatment watersheds that transitioned from agriculture to suburban development with a high density of infiltration‐focused stormwater control measures (SCMs). Urban Treatment 1 has predominantly single family detached housing with 33% impervious cover and 126 SCMs. Urban Treatment 2 has a mix of single family detached and attached housing with 44% impervious cover and 219 SCMs. Differences in streamflow‐event magnitude and timing were assessed using a before‐after‐control‐reference‐impact design to compare urban treatment watersheds to a forested control and an urban control with detention‐focused SCMs. Streamflow and precipitation events were identified from 14 years of sub‐daily monitoring data with an automated approach to characterize peak streamflow, runoff yield, runoff ratio, streamflow duration, time to peak, rise rate, and precipitation depth for each event. Results indicated that streamflow magnitude and timing were altered by urbanization in the urban treatment watersheds, even with SCMs treating 100% of the impervious area. The largest hydrologic changes were observed in streamflow magnitude metrics, with greater hydrologic change in Urban Treatment 2 compared to Urban Treatment 1. While streamflow changes were observed in both urban treatment watersheds, SCMs were able to mitigate peak flows and runoff volumes compared to the urban control. The urban control had similar impervious cover to Urban Treatment 2, but Urban Treatment 2 had more than twice the precipitation depth needed to initiate a flow response and lower median peak flow and runoff yield for events less than 20 mm. Differences in impervious cover between the Urban Treatment watersheds appeared to be a large driver of differences in streamflow response, rather than SCM density. Overall, use of infiltration‐focused SCMs implemented at a watershed‐scale did provide enhanced attenuation of peak flow and runoff volumes compared to centralized‐detention SCMs.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13593","usgsCitation":"Hopkins, K.G., Bhaskar, A.S., Woznicki, S., and Fanelli, R., 2020, Changes in event‐based streamflow magnitude and timing after suburban development with infiltration‐based stormwater management: Hydrological Processes, v. 34, no. 2, p. 387-403, https://doi.org/10.1002/hyp.13593.","productDescription":"17 p.","startPage":"387","endPage":"403","ipdsId":"IP-108936","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":458618,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.13593","text":"Publisher Index Page"},{"id":437212,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CGWUKT","text":"USGS data release","linkHelpText":"Streamflow and precipitation event statistics for treatment, urban control, and forested control watersheds in Clarksburg, MD USA (2004-2018)"},{"id":368236,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","county":"Montgomery County","city":"Clarksburg","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-77.182,39.3481],[-77.185,39.3423],[-77.1827,39.3341],[-77.1732,39.3205],[-77.1673,39.3127],[-77.1614,39.3077],[-77.1549,39.3023],[-77.1442,39.2973],[-77.1407,39.2932],[-77.1371,39.2864],[-77.1377,39.2832],[-77.133,39.2782],[-77.133,39.2723],[-77.1301,39.2709],[-77.1194,39.27],[-77.1135,39.2659],[-77.1034,39.2668],[-77.0779,39.2585],[-77.0666,39.2535],[-77.0631,39.2463],[-77.0607,39.2399],[-77.0483,39.2385],[-77.0353,39.2257],[-77.0288,39.218],[-77.0188,39.2112],[-77.0134,39.2084],[-77.0111,39.2053],[-77.0111,39.2003],[-77.0111,39.1976],[-77.0111,39.1953],[-77.007,39.193],[-77.007,39.1921],[-77.0052,39.1894],[-77.0052,39.1876],[-77.0064,39.1862],[-77.0077,39.1839],[-77.0082,39.1826],[-77.0059,39.1812],[-77.0053,39.1794],[-77.0059,39.179],[-77.0059,39.1771],[-77.0041,39.1762],[-76.9994,39.1758],[-76.9988,39.1758],[-76.9988,39.1748],[-76.9988,39.1735],[-77,39.1703],[-76.9965,39.1667],[-76.9882,39.1666],[-76.9846,39.1653],[-76.9763,39.163],[-76.9728,39.162],[-76.9722,39.1598],[-76.9734,39.1553],[-76.9752,39.1525],[-76.9734,39.1516],[-76.9693,39.1498],[-76.9634,39.1489],[-76.9581,39.1461],[-76.9551,39.1456],[-76.9527,39.1461],[-76.951,39.1452],[-76.9504,39.1438],[-76.951,39.1425],[-76.9516,39.1402],[-76.9528,39.1384],[-76.9564,39.1375],[-76.9581,39.1371],[-76.9475,39.1311],[-76.9421,39.1334],[-76.938,39.1342],[-76.935,39.1351],[-76.9332,39.1379],[-76.932,39.1378],[-76.9273,39.1378],[-76.9249,39.1351],[-76.9184,39.1319],[-76.9167,39.131],[-76.9119,39.1282],[-76.9031,39.1268],[-76.8971,39.1282],[-76.8923,39.1309],[-76.8882,39.1317],[-76.9535,39.0437],[-76.9655,39.0265],[-76.9978,38.9827],[-77.0085,38.9696],[-77.0415,38.9951],[-77.0445,38.9928],[-77.054,38.9856],[-77.0546,38.9851],[-77.0897,38.9581],[-77.1205,38.9337],[-77.1229,38.936],[-77.1234,38.9365],[-77.1258,38.9391],[-77.1279,38.9411],[-77.1294,38.9423],[-77.1308,38.9438],[-77.1323,38.9455],[-77.1341,38.9482],[-77.1343,38.9488],[-77.1352,38.9507],[-77.1361,38.9523],[-77.1376,38.9546],[-77.1409,38.958],[-77.1413,38.9584],[-77.1455,38.9622],[-77.1472,38.9636],[-77.1488,38.9646],[-77.1548,38.9674],[-77.1553,38.9674],[-77.16,38.9678],[-77.1624,38.9678],[-77.1702,38.9682],[-77.1731,38.9682],[-77.185,38.9684],[-77.1877,38.9685],[-77.1885,38.9685],[-77.1902,38.9685],[-77.192,38.9688],[-77.1949,38.9692],[-77.2008,38.9711],[-77.205,38.9729],[-77.2073,38.9738],[-77.2114,38.9748],[-77.2161,38.9753],[-77.2203,38.9754],[-77.2235,38.9757],[-77.2257,38.9761],[-77.2271,38.9767],[-77.2345,38.9798],[-77.2401,38.9839],[-77.2447,38.9868],[-77.2482,38.9918],[-77.2493,38.9966],[-77.2489,39.0007],[-77.2485,39.0027],[-77.2478,39.0058],[-77.2471,39.0067],[-77.2467,39.0083],[-77.2463,39.0093],[-77.245,39.0124],[-77.2433,39.0148],[-77.2427,39.0175],[-77.2426,39.0198],[-77.2433,39.0233],[-77.2457,39.026],[-77.2483,39.0281],[-77.2508,39.0295],[-77.2521,39.0301],[-77.2551,39.031],[-77.2598,39.0324],[-77.2635,39.0333],[-77.2676,39.0342],[-77.2706,39.0348],[-77.2741,39.0367],[-77.2746,39.037],[-77.2787,39.0397],[-77.2829,39.0424],[-77.2882,39.0461],[-77.2891,39.0467],[-77.2944,39.0502],[-77.297,39.0517],[-77.2989,39.0524],[-77.3048,39.0546],[-77.3064,39.055],[-77.3114,39.0564],[-77.3202,39.0593],[-77.3267,39.061],[-77.3273,39.0611],[-77.3314,39.0617],[-77.3334,39.062],[-77.3361,39.0623],[-77.3439,39.0629],[-77.3444,39.0629],[-77.3464,39.0629],[-77.3545,39.063],[-77.3687,39.0637],[-77.3823,39.0644],[-77.3935,39.066],[-77.4073,39.0685],[-77.4096,39.0687],[-77.4165,39.0695],[-77.428,39.0707],[-77.4372,39.0717],[-77.4409,39.0718],[-77.4431,39.0718],[-77.449,39.0719],[-77.4532,39.0729],[-77.4547,39.0739],[-77.4564,39.0752],[-77.4606,39.0794],[-77.4624,39.0821],[-77.4647,39.087],[-77.4651,39.0878],[-77.4669,39.0903],[-77.4703,39.0954],[-77.4749,39.1006],[-77.4813,39.1079],[-77.4847,39.111],[-77.4872,39.1121],[-77.489,39.1129],[-77.4899,39.1132],[-77.4935,39.1143],[-77.4958,39.1152],[-77.4973,39.1156],[-77.4993,39.1162],[-77.5017,39.1167],[-77.504,39.1174],[-77.5065,39.1182],[-77.5089,39.119],[-77.5104,39.1196],[-77.5176,39.1238],[-77.5199,39.1265],[-77.5204,39.1274],[-77.5221,39.1302],[-77.5238,39.1339],[-77.5243,39.1363],[-77.5246,39.1387],[-77.5246,39.1428],[-77.5228,39.1474],[-77.521,39.1529],[-77.5192,39.1586],[-77.5169,39.1654],[-77.5151,39.1704],[-77.514,39.1723],[-77.5128,39.1736],[-77.511,39.1758],[-77.5104,39.1763],[-77.508,39.1777],[-77.5044,39.1799],[-77.4994,39.1815],[-77.4962,39.1825],[-77.4928,39.1837],[-77.4909,39.1843],[-77.488,39.1854],[-77.4831,39.1872],[-77.4789,39.189],[-77.476,39.1908],[-77.4736,39.1935],[-77.4734,39.1941],[-77.4728,39.1969],[-77.4727,39.1997],[-77.4727,39.2028],[-77.4718,39.2067],[-77.4706,39.2085],[-77.469,39.2102],[-77.4676,39.2117],[-77.4623,39.2153],[-77.4611,39.2162],[-77.4593,39.2176],[-77.4575,39.2198],[-77.4468,39.2248],[-77.2839,39.2999],[-77.182,39.3481]]]},\"properties\":{\"name\":\"Montgomery\",\"state\":\"MD\"}}]}","volume":"34","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bhaskar, Aditi S.","contributorId":199824,"corporation":false,"usgs":false,"family":"Bhaskar","given":"Aditi","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":772953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woznicki, Sean","contributorId":218281,"corporation":false,"usgs":false,"family":"Woznicki","given":"Sean","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":772954,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fanelli, Rosemary M. 0000-0002-0874-1925","orcid":"https://orcid.org/0000-0002-0874-1925","contributorId":206608,"corporation":false,"usgs":true,"family":"Fanelli","given":"Rosemary M.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772955,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208276,"text":"70208276 - 2020 - Quaternary displacement on the Joiner Ridge Fault, eastern Arkansas","interactions":[],"lastModifiedDate":"2020-02-03T07:00:13","indexId":"70208276","displayToPublicDate":"2019-10-09T06:56:45","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":"Quaternary displacement on the Joiner Ridge Fault, eastern Arkansas","docAbstract":"The New Madrid seismic zone of the central United States is an intraplate seismic zone with blind structures that are not seismically active but may pose seismic hazards. The Joiner Ridge fault is the 35 km long east-bounding fault of the Joiner Ridge blind horst located in eastern Arkansas approximately 50 km northwest of Memphis, Tennessee. Shallow S-wave (SH-mode) seismic reflection profiles, continuous cores, and radiometric dating of Quaternary alluvium across the Joiner Ridge fault reveal down-to-the-east reverse faulting and folding within of the top of the Eocene strata and overlying Quaternary Mississippi River alluvium. The base of the Quaternary alluvium has an age of 20.3 ka and is vertically displaced 12 m, resulting in an average slip rate of 0.6 + 0.1 mm/yr over the past 20.3 ka. The overlying late Wisconsinan and Holocene alluvial facies are also displaced by the Joiner Ridge fault. These facies increase in thickness across the Joiner Ridge fault and were used to calculate late Wisconsinan and Holocene slip rates. The JRF slipped 7 m between 20.3 ka and 17.5 ka (2.8 ka), reflecting a slip rate of 2.5 + 0.3 mm/yr. From 12.3 ka to 11.5 ka (0.8 ka) the JRF slipped 3 m at an average slip rate of 3.8 + 0.9 mm/yr. There were 2 m of slip on the JRF between 11.5 ka and 8.9 ka (2.6 ka), reflecting a slip rate of 0.8 + 0.3 mm/yr. No apparent slip has occurred on the JRF within the last 8.90 ka. This research illustrates that slip rates on the JRF have varied through the late Wisconsinan and early Holocene, but the Joiner Ridge fault has been inactive since the middle Holocene.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190149","usgsCitation":"Price, A.C., Woolery, E.W., Counts, R., Van Arsdale, R., Larsen, D., Mahan, S.A., and Beck, G., 2020, Quaternary displacement on the Joiner Ridge Fault, eastern Arkansas: Seismological Research Letters, v. 90, no. 6, p. 2250-2261, https://doi.org/10.1785/0220190149.","productDescription":"12 p.","startPage":"2250","endPage":"2261","ipdsId":"IP-107613","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":371898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas ","otherGeospatial":"Joiner Ridge Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.219482421875,\n              33.04550781490999\n            ],\n            [\n              -91.12060546875,\n              33.95247360616282\n            ],\n            [\n              -90.098876953125,\n              35.22767235493586\n            ],\n            [\n              -89.681396484375,\n              36.01356058518153\n            ],\n            [\n              -90.340576171875,\n              36.01356058518153\n            ],\n            [\n              -90.054931640625,\n              36.35052700542763\n            ],\n            [\n              -90.164794921875,\n              36.491973470593685\n            ],\n            [\n              -91.900634765625,\n              36.50963615733049\n            ],\n            [\n              -92.669677734375,\n              34.786739162702524\n            ],\n            [\n              -92.559814453125,\n              33.55970664841198\n            ],\n            [\n              -92.197265625,\n              33.04550781490999\n            ],\n            [\n              -91.219482421875,\n              33.04550781490999\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"90","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Price, Audrey C.","contributorId":222111,"corporation":false,"usgs":false,"family":"Price","given":"Audrey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":781246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woolery, Edward W 0000-0003-3398-5830","orcid":"https://orcid.org/0000-0003-3398-5830","contributorId":192994,"corporation":false,"usgs":false,"family":"Woolery","given":"Edward","email":"","middleInitial":"W","affiliations":[],"preferred":false,"id":781223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Counts, Ron 0000-0002-8426-1990","orcid":"https://orcid.org/0000-0002-8426-1990","contributorId":222105,"corporation":false,"usgs":false,"family":"Counts","given":"Ron","affiliations":[{"id":36508,"text":"University of Mississippi","active":true,"usgs":false}],"preferred":false,"id":781224,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Arsdale, Roy","contributorId":199299,"corporation":false,"usgs":false,"family":"Van Arsdale","given":"Roy","email":"","affiliations":[{"id":17864,"text":"University of Memphis","active":true,"usgs":false}],"preferred":false,"id":781225,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larsen, Daniel","contributorId":199300,"corporation":false,"usgs":false,"family":"Larsen","given":"Daniel","email":"","affiliations":[{"id":17864,"text":"University of Memphis","active":true,"usgs":false}],"preferred":false,"id":781226,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":781221,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beck, Glynn","contributorId":222106,"corporation":false,"usgs":false,"family":"Beck","given":"Glynn","email":"","affiliations":[{"id":40489,"text":"Kentucky Geological Survey","active":true,"usgs":false}],"preferred":false,"id":781227,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70211968,"text":"70211968 - 2020 - Late Quaternary sea-level history of Saipan, Commonwealth of the Northern Mariana Islands, USA: A test of tectonic uplift and glacial isostatic adjustment models","interactions":[],"lastModifiedDate":"2020-08-12T20:53:20.311416","indexId":"70211968","displayToPublicDate":"2019-09-17T15:50:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary sea-level history of Saipan, Commonwealth of the Northern Mariana Islands, USA: A test of tectonic uplift and glacial isostatic adjustment models","docAbstract":"<p><span>In 1979, S. Uyeda and H. Kanamori proposed a tectonic model with two end members of a subduction-boundary continuum: the “Chilean” type (shallow dip of the subducting plate, great thrust events, compression, and uplift of the overriding plate) and a “Mariana” type (steep dip of the subducting plate, no great thrust events, tension, and no uplift). This concept has been used to explain variable rates of Quaternary uplift around the Pacific Rim, yet no uplift rates have been determined for the Mariana Islands themselves, one of the end members in this model. We studied the late Quaternary Tanapag Limestone, which rims much of the eastern and southern coasts of Saipan, Northern Mariana Islands, with elevations of ∼13 m to ∼30 m. Samples from 12 well-preserved corals (</span><i>Acropora</i><span>,&nbsp;</span><i>Porites</i><span>, and&nbsp;</span><i>Goniastrea</i><span>) yielded U-series ages ranging from ca. 134 ka to ca. 126 ka. These ages correlate the emergent reef of the Tanapag Limestone with the last interglacial period, when sea level was several meters above present. Ages and measured reef elevations from the Tanapag Limestone, along with paleo–sea-level data, yield relatively low late Quaternary uplift rates of 0.002–0.19 m/k.y., consistent with the Uyeda-Kanamori model. A review of data from other localities near subduction zones around the Pacific Basin, however, indicates that many coastlines do not fit the model. Uplift rates along the Chilean coast are predicted to be relatively high, but field studies indicate they are low. On some coastlines, relatively high uplift rates are better explained by subduction of seamounts or submarine ridges rather than subduction zone geometry. Despite the low long-term uplift rate on Saipan, the island also hosts an emergent, low-elevation (+3.9–4.0 m) reef with corals in growth position below a notch (+4.2 m). The corals are dated to 3.9–3.1 ka. The occurrence of this young, emergent reef is likely not due to tectonic uplift; instead, it is interpreted to be the result of glacial isostatic adjustment processes after the end of the last glacial period. Our findings are consistent with similar observations on tectonically stable or slowly uplifting islands elsewhere in the equatorial Pacific Ocean and agree with numerical models of a higher-than-present Holocene sea level in this region due to glacial isostatic adjustment processes.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B35162.1","usgsCitation":"Muhs, D., Schweig, E.S., and Simmons, K., 2020, Late Quaternary sea-level history of Saipan, Commonwealth of the Northern Mariana Islands, USA: A test of tectonic uplift and glacial isostatic adjustment models: Geological Society of America Bulletin, v. 132, p. 863-883, https://doi.org/10.1130/B35162.1.","productDescription":"21 p.","startPage":"863","endPage":"883","ipdsId":"IP-102631","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":377440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Northern Mariana Islands, Saipan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              145.79887390136716,\n              15.166914868426344\n            ],\n            [\n              145.78445434570312,\n              15.205349599759678\n            ],\n            [\n              145.83663940429688,\n              15.268950303672504\n            ],\n            [\n              145.81260681152344,\n              15.298094191660693\n            ],\n            [\n              145.70960998535156,\n              15.223901791042142\n            ],\n            [\n              145.68214416503906,\n              15.117867306000468\n            ],\n            [\n              145.71578979492188,\n              15.097316980284674\n            ],\n            [\n              145.7549285888672,\n              15.088698509791715\n            ],\n            [\n              145.79887390136716,\n              15.166914868426344\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"132","noUsgsAuthors":false,"publicationDate":"2019-09-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":168575,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":796005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schweig, Eugene S. 0000-0003-3669-9741 schweig@usgs.gov","orcid":"https://orcid.org/0000-0003-3669-9741","contributorId":1271,"corporation":false,"usgs":true,"family":"Schweig","given":"Eugene","email":"schweig@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":796006,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simmons, Kathleen R. 0000-0002-7920-094X","orcid":"https://orcid.org/0000-0002-7920-094X","contributorId":229460,"corporation":false,"usgs":false,"family":"Simmons","given":"Kathleen R.","affiliations":[{"id":12608,"text":"USGS, retired","active":true,"usgs":false}],"preferred":false,"id":796007,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70207539,"text":"70207539 - 2020 - Local abundance of Ixodes scapularis in forests: Effects of environmental moisture, vegetation characteristics, and host abundance","interactions":[],"lastModifiedDate":"2019-12-25T08:45:05","indexId":"70207539","displayToPublicDate":"2019-09-14T11:28:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5082,"text":"Ticks and Tick-borne Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Local abundance of <i>Ixodes scapularis</i> in forests: Effects of environmental moisture, vegetation characteristics, and host abundance","title":"Local abundance of Ixodes scapularis in forests: Effects of environmental moisture, vegetation characteristics, and host abundance","docAbstract":"<p><i>Ixodes scapularis</i><span>&nbsp;is the primary vector of Lyme disease spirochetes in eastern and central North America, and local densities of this tick can affect human disease risk. We sampled larvae and nymphs from sites in Massachusetts and Wisconsin, USA, using flag/drag devices and by collecting ticks from hosts, and measured environmental variables to evaluate the environmental factors that affect local distribution and abundance of&nbsp;</span><i>I. scapularis</i><span>. Our sites were all forested areas with known&nbsp;</span><i>I. scapularis</i><span>&nbsp;populations. Environmental variables included those associated with weather (e.g., temperature and relative humidity), vegetation characteristics (at canopy, shrub, and ground levels), and host abundance (small and medium-sized mammals and reptiles). The numbers of larvae on animals at a given site and season showed a logarithmic relationship to the numbers in flag/drag samples, suggesting limitation in the numbers on host animals. The numbers of nymphs on animals showed no relationship to the numbers in flag/drag samples. These results suggest that only a small proportion of larvae and nymphs found hosts because in neither stage did the numbers of host-seeking ticks decline with increased numbers on hosts. Canopy cover was predictive of larval and nymphal numbers in flag/drag samples, but not of numbers on hosts. Numbers of small and medium-sized mammal hosts the previous year were generally not predictive of the current year’s tick numbers, except that mouse abundance predicted log numbers of nymphs on all hosts the following year. Some measures of larval abundance were predictive of nymphal numbers the following year. The mean number of larvae per mouse was well predicted by measures of overall larval abundance (based on flag/drag samples and samples from all hosts), and some environmental factors contributed significantly to the model. In contrast, the mean numbers of nymphs per mouse were not well predicted by environmental variables, only by overall nymphal abundance on hosts. Therefore, larvae respond differently than nymphs to environmental factors. Furthermore, flag/drag samples provide different information about nymphal numbers than do samples from hosts. Flag/drag samples can provide information about human risk of acquiring nymph-borne pathogens because they provide information on the densities of ticks that might encounter humans, but to understand the epizootiology of tick-borne agents both flag/drag and host infestation data are needed.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ttbdis.2019.101271","usgsCitation":"Ginsberg, H., Rulison, E.L., Miller, J.L., Pang, G., Arsnoe, I.M., Hickling, G.J., Ogden, N.H., LeBrun, R.A., and Tsao, J.I., 2020, Local abundance of Ixodes scapularis in forests: Effects of environmental moisture, vegetation characteristics, and host abundance: Ticks and Tick-borne Diseases, v. 11, no. 1, 101271, 12 p., https://doi.org/10.1016/j.ttbdis.2019.101271.","productDescription":"101271, 12 p.","ipdsId":"IP-100963","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":458652,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://digitalcommons.uri.edu/pls_facpubs/136","text":"Publisher Index Page"},{"id":370668,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts, Wisconsin","otherGeospatial":"Cape Cod National Seashore, Fort McCoy","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.7470703125,\n              43.909765943908\n            ],\n            [\n              -90.59326171875,\n              43.909765943908\n            ],\n            [\n              -90.59326171875,\n              44.16841480642917\n            ],\n            [\n              -90.7470703125,\n              44.16841480642917\n            ],\n            [\n              -90.7470703125,\n              43.909765943908\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.23834228515625,\n              41.611335399441735\n            ],\n            [\n              -69.90600585937499,\n              41.611335399441735\n            ],\n            [\n              -69.90600585937499,\n              42.09007006868398\n            ],\n            [\n              -70.23834228515625,\n              42.09007006868398\n            ],\n            [\n              -70.23834228515625,\n              41.611335399441735\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ginsberg, Howard S. 0000-0002-4933-2466 hginsberg@usgs.gov","orcid":"https://orcid.org/0000-0002-4933-2466","contributorId":147665,"corporation":false,"usgs":true,"family":"Ginsberg","given":"Howard S.","email":"hginsberg@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":778394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rulison, Eric L.","contributorId":87478,"corporation":false,"usgs":false,"family":"Rulison","given":"Eric","email":"","middleInitial":"L.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":778395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Jasmine L.","contributorId":221487,"corporation":false,"usgs":false,"family":"Miller","given":"Jasmine","email":"","middleInitial":"L.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":778396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pang, Genevieve","contributorId":221488,"corporation":false,"usgs":false,"family":"Pang","given":"Genevieve","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":778397,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arsnoe, Isis M.","contributorId":140902,"corporation":false,"usgs":false,"family":"Arsnoe","given":"Isis","email":"","middleInitial":"M.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":778398,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hickling, Graham J.","contributorId":140903,"corporation":false,"usgs":false,"family":"Hickling","given":"Graham","email":"","middleInitial":"J.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":778400,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ogden, Nicholas H.","contributorId":147667,"corporation":false,"usgs":false,"family":"Ogden","given":"Nicholas","email":"","middleInitial":"H.","affiliations":[{"id":16890,"text":"Public Health Agency of Canada","active":true,"usgs":false}],"preferred":false,"id":778401,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"LeBrun, Roger A.","contributorId":70907,"corporation":false,"usgs":false,"family":"LeBrun","given":"Roger","email":"","middleInitial":"A.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":778402,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tsao, Jean I.","contributorId":140905,"corporation":false,"usgs":false,"family":"Tsao","given":"Jean","email":"","middleInitial":"I.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":778399,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70225149,"text":"70225149 - 2020 - Modeling strategies and evaluating success during repatriations of elusive and endangered species","interactions":[],"lastModifiedDate":"2021-10-14T12:39:18.475636","indexId":"70225149","displayToPublicDate":"2019-09-12T07:37:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Modeling strategies and evaluating success during repatriations of elusive and endangered species","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Wildlife repatriation is an important tool to decrease extinction risk for imperiled species, but successful repatriations require significant time, resources and planning. Because repatriations can be long and expensive processes, clear release strategies and monitoring programs are essential to efficiently use resources and evaluate success. However, monitoring can be challenging and surrounded by significant uncertainty, particularly for secretive species with extremely low detection probability. Here, we simulated how alternative repatriation strategies influence repatriation success for the eastern indigo snake<span>&nbsp;</span><i>Drymarchon couperi</i>, a federally-Threatened species that is currently being repatriated in Alabama and Florida. Critically, we demonstrate how observed population growth can differ from true population growth when detection probabilities are low and mark-recapture analyses are not an option. Specifically, we built a stochastic stage-based population model to predict population growth and extinction risk under different release strategies and use information from ongoing repatriations to predict success and guide future releases. Because<span>&nbsp;</span><i>D.&nbsp;&nbsp;couperi</i><span>&nbsp;</span>is difficult to monitor, we modeled how detection probability influenced perceptions of abundance and population growth by monitoring programs. Simulated repatriation strategies releasing older, head-started snakes in greater abundance and frequency created wild populations with decreased extinction risk relative to scenarios releasing fewer and younger snakes less frequently. Ongoing repatriations currently have a 0.23 (Alabama) and 0.61 (Florida) probability of quasi-extinction, but extinction risk decreased to 0.07 and 0.10 at sites upon achieving the targeted number of releases. Abundances observed under realistic detection thresholds for<span>&nbsp;</span><i>D.&nbsp;&nbsp;couperi</i><span>&nbsp;</span>did not always predict true population growth; specifically, we demonstrate that monitoring programs during repatriations of secretive species may indicate that efforts have been unsuccessful when populations are actually growing. Overall, our modeling framework informs release strategies to maximize repatriation success while demonstrating the need to consider how detection processes influence assessment of success during conservation interventions.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/acv.12537","usgsCitation":"Folt, B., McGowan, C.P., Steen, D., Picolomini, S., Hoffman, M., Godwin, J., and Guyer, C., 2020, Modeling strategies and evaluating success during repatriations of elusive and endangered species: Animal Conservation, v. 23, no. 3, p. 273-285, https://doi.org/10.1111/acv.12537.","productDescription":"13 p.","startPage":"273","endPage":"285","ipdsId":"IP-106036","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":390518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70212604,"text":"70212604 - 2020 - Porphyry copper potential of the U.S. Southern Basin and Range using  ASTER data integrated with geochemical and geologic datasets to  assess potential near-surface deposits in well-explored permissive tracts","interactions":[],"lastModifiedDate":"2020-08-24T12:21:59.418909","indexId":"70212604","displayToPublicDate":"2019-09-01T15:21:04","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Porphyry copper potential of the U.S. Southern Basin and Range using  ASTER data integrated with geochemical and geologic datasets to  assess potential near-surface deposits in well-explored permissive tracts","docAbstract":"<p><span>ArcGIS was used to spatially assess and rank potential porphyry copper deposits using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data together with geochemical and geologic datasets in order to estimate undiscovered deposits in the southern Basin and Range Province in the southwestern United States. The assessment was done using a traditional expert opinion three-part method and a prospectivity model developed using weights of evidence and logistic regression techniques to determine if ASTER data integrated with other geologic datasets can be used to find additional areas of prospectivity in well-explored permissive tracts. ASTER hydrothermal alteration data were expressed as 457 alteration polygons defined from a low-pass filtered alteration density map of combined argillic, phyllic, and propylitic rock units. Sediment stream samples were plotted as map grid data and used as spatial information in ASTER polygons. Gravity and magnetic data were also used to define basins greater than 1 km in depth. Each ASTER alteration polygon was ranked for porphyry copper potential using alteration types, spatial amounts of alteration, stream sediment geochemistry, lithology, polygon shape, proximity to other alteration polygons, and deposit and prospects data. Permissive tracts defined for the assessment in the southern Basin and Range Province include the Laramide Northwest, Laramide Southeast, Jurassic, and Tertiary tracts. Expert opinion estimates using the three-part assessment method resulted in a mean estimate of 17 undiscovered porphyry copper deposits, whereas the prospectivity modeling predicted a mean estimate of nine undiscovered deposits. In the well-explored Laramide Southeast tract, which contains the most deposits and has been explored for over 100 years, an average of 4.3 undiscovered deposits was estimated using ASTER alteration polygon data versus 2.8 undiscovered deposits without ASTER data. The Tertiary tract, which contains the largest number of ASTER alteration polygons not associated with known Tertiary deposits, was predicted to contain the most undiscovered resources in the southern Basin and Range Province.</span></p>","language":"English","publisher":"Economic Geology","doi":"10.5382/econgeo.4675","usgsCitation":"Mars, J.C., Robinson, Hammarstrom, J.M., Zurcher, L., Whitney, H.A., Solano, F., Gettings, M.E., and Ludington, S., 2020, Porphyry copper potential of the U.S. Southern Basin and Range using  ASTER data integrated with geochemical and geologic datasets to  assess potential near-surface deposits in well-explored permissive tracts: Economic Geology, v. 114, no. 6, p. 1095-1121, https://doi.org/10.5382/econgeo.4675.","productDescription":"27 p.","startPage":"1095","endPage":"1121","ipdsId":"IP-096385","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics 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