{"pageNumber":"651","pageRowStart":"16250","pageSize":"25","recordCount":165252,"records":[{"id":70225631,"text":"70225631 - 2019 - Asian carp population modeling to support an Adaptive Management framework, USGS Contribution","interactions":[],"lastModifiedDate":"2021-11-03T13:39:12.825943","indexId":"70225631","displayToPublicDate":"2019-12-31T08:36:33","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Asian carp population modeling to support an Adaptive Management framework, USGS Contribution","docAbstract":"<p>The Spatially Explicit Asian carp Population (SEAcarP) model was developed to inform management and research decisions with the goal of minimizing the abundance of Bighead Carp and Silver Carp (collectively referred to as “Asian carp” in this document) in the upper Illinois River waterway, thereby reducing risk of population expansion toward the Great Lakes and reducing potential impacts on native species. This model provides an objective, data-driven approach to maximize return on investment of management actions and facilitates defining research and monitoring priorities. </p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2019 Asian carp interim summary report","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"Asian Carp Regional Coordinating Committee","usgsCitation":"Erickson, R.A., 2019, Asian carp population modeling to support an Adaptive Management framework, USGS Contribution, chap. <i>of</i> 2019 Asian carp interim summary report, p. 175-176.","productDescription":"2 p.","startPage":"175","endPage":"176","ipdsId":"IP-120441","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":391318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":391078,"type":{"id":11,"text":"Document"},"url":"https://invasivecarp.us/Documents/Interim-Summary-Report-2019.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":826005,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70223489,"text":"70223489 - 2019 - Diel feeding and movement activity of Northern Snakehead Channa argus","interactions":[],"lastModifiedDate":"2021-08-30T13:31:06.021598","indexId":"70223489","displayToPublicDate":"2019-12-31T08:30:48","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Diel feeding and movement activity of Northern Snakehead Channa argus","docAbstract":"<p><span>Understanding the diel activity of a species can shed light on potential interactions with other species and inform management practices. To understand the diel activity of Northern Snakehead&nbsp;</span><i>Channa argus</i><span>, feeding habits and movement patterns were observed. Two hundred seventy-three Northern Snakehead were captured by boat electrofishing during May and June of 2007 and 2008. Their gut contents were extracted and preserved. The level of digestion of each prey item was estimated from fresh (1) to &gt;50% digested (4) or empty (5). Random forest models were used to predict feeding activity based on time of day, tide level, date, water temperature, fish total length, and sex. Diel movement patterns were assessed by implanting Northern Snakehead with radio transmitters and monitoring them every 1.5 h for 24 h in both March and July 2007. Movement rates were compared between March and July and among four daily time periods. Independent variables accounted for only 6% of the variation in feeding activity; however, temporal feeding patterns were apparent. No fresh items were observed in guts between 12:30 and 7:30 am, and the proportion of empty stomachs increased at the end of May coinciding with the onset of spawning. Overall, fish moved greater distances during the July tracking period compared to March. Fish showed a greater propensity to move during daylight hours than at night during the March tracking period. A similar but nonsignificant (</span><i>P<span>&nbsp;</span></i><span>&gt; 0.05) pattern was observed in July. Movement and feeding data both indicated greater activity during daylight hours than at night, suggesting that Northern Snakehead is a diurnal species. Based on our preliminary findings, we hypothesize that a) diurnal species are more susceptible than nocturnal species to predation by Northern Snakehead and b) Northern Snakehead are more likely to compete for food with diurnal than nocturnal predators.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"American Fisheries Society symposium 89","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"The First International Snakehead Symposium","conferenceDate":"Jul 17-19, 2019","conferenceLocation":"Alexandria, VA","language":"English","publisher":"American Fisheries Society","doi":"10.47886/9781934874585.ch6","usgsCitation":"Lapointe, N., Saylor, R., and Angermeier, P.L., 2019, Diel feeding and movement activity of Northern Snakehead Channa argus, <i>in</i> American Fisheries Society symposium 89, Alexandria, VA, Jul 17-19, 2019, 13 p., https://doi.org/10.47886/9781934874585.ch6.","productDescription":"13 p.","ipdsId":"IP-103396","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":388658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"lower Potomac River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.33551025390624,\n              38.46864331036051\n            ],\n            [\n              -76.87408447265625,\n              38.46864331036051\n            ],\n            [\n              -76.87408447265625,\n              38.9914373369788\n            ],\n            [\n              -77.33551025390624,\n              38.9914373369788\n            ],\n            [\n              -77.33551025390624,\n              38.46864331036051\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lapointe, Nicolas W. R.","contributorId":264893,"corporation":false,"usgs":false,"family":"Lapointe","given":"Nicolas W. R.","affiliations":[{"id":54575,"text":"Canadian Wildlife Federation","active":true,"usgs":false}],"preferred":false,"id":822151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saylor, Ryan K.","contributorId":264894,"corporation":false,"usgs":false,"family":"Saylor","given":"Ryan K.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":822152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":822150,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70223690,"text":"70223690 - 2019 - Heavy mineral sands resources in China","interactions":[],"lastModifiedDate":"2021-09-02T13:27:48.977348","indexId":"70223690","displayToPublicDate":"2019-12-31T08:25:07","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Heavy mineral sands resources in China","docAbstract":"About 200 known coastal deposits of heavy mineral sands (HMS) occur in China, in which considerable mineral resources of titanium, zircon, rare earth elements, and thorium exist in the forms of ilmenite, rutile, zircon, and monazite. More than 20 of these HMS deposits are reported as having been or are actively being mined in China during the past three decades, of which 12 have been reported to have industrial resources. Commercially important deposits occur almost entirely in Cenozoic beach and sand dune deposits, principally along China’s eastern coast (e.g., Shandong Province) and southern coast (e.g., Guangxi, Guangdong, Hainan, and Fujian provinces), and particularly on Hainan island. There are also important deposits of HMS along coastal areas of Taiwan. China has the largest share of the world’s economic ilmenite resources in HMS deposits (31%). \n\nA variety of igneous and associated metamorphic rocks along the coastal areas of China provided an abundant source of heavy minerals for the formation of the HMS occurrences. Studies of titanium-rich HMS deposits have shown that ilmenite is mostly sourced from igneous rocks. For example, 40% of the bedrock of Hainan island consists of Triassic and Cretaceous granites emplaced into rocks of the Cathyasia Block, and all of the HMS districts on the island lie no more than 15 km downstream from a Middle Triassic suite of syenite to granite intrusions. The southern coastal regions of Guangdong and Guangxi provinces are dominated by Jurassic granodiorite, biotite granite, two-mica granite, and A-type granite, with minor gabbro and syenite. Identified accessory minerals in the Jurassic alkaline granitoids include zircon, apatite, allanite, titanite, magnetite, ilmenite, monazite, and niobite. Thus, multiple plutons are in proximity to the Cenozoic coastal plain and are available as bedrock sources for the detrital titanium minerals, zircon, and monazite. \n\nMore than 100 HMS deposits and prospects have been identified in Shandong Province, consisting of more than 20 varieties of heavy minerals in quartz sand, which include zircon, ilmenite, rutile, monazite, magnetite, xenotime, and gold (in general order of abundance) derived from Precambrian metamorphic basement and Mesozoic intrusions. Of these minerals, zircon, magnetite, gold, and quartz sand have economic significance. The quartz sands are used by the glass and construction industries. The placers mainly occur in and adjacent to the littoral zones of the northern and southern coasts of the Jiaodong Peninsula in Shandong province. Seven beach placer, HMS prospective areas have been delineated in coastal areas of the peninsula. \n\nDue to nearly exhausted placer reserves in the Chinese coastal zones, as well as increased environmental restrictions, future prospecting for heavy minerals will likely focus on ancient beach systems in China’s inland sedimentary basins. Also, offshore deposits of HMS in shallow coastal waters are other potential sources of heavy minerals, such as the Baoding Sea zircon-titanium, minerals-rich placer under development near Wanning on Hainan. Similarly, there is potential for offshore HMS deposits in shallow waters of the entire coastal area of southern Taiwan that remains to be fully evaluated. Reconnaissance sampling along Taiwan island’s coasts has revealed the potential for extensive, high-grade HMS accumulations nearshore.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Mineral deposits of China","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Society of Economic Geologists","usgsCitation":"Van Gosen, B.S., Hou, B., and Song, T., 2019, Heavy mineral sands resources in China, chap. <i>of</i> Mineral deposits of China, v. 22, p. 581-593.","productDescription":"13 p.","startPage":"581","endPage":"593","ipdsId":"IP-068729","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":388805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[110.33919,18.6784],[109.47521,18.1977],[108.65521,18.50768],[108.62622,19.36789],[109.11906,19.82104],[110.2116,20.10125],[110.78655,20.07753],[111.01005,19.69593],[110.57065,19.25588],[110.33919,18.6784]]],[[[127.65741,49.76027],[129.39782,49.4406],[130.58229,48.72969],[130.98728,47.79013],[132.50667,47.78897],[133.3736,48.18344],[135.02631,48.47823],[134.50081,47.57844],[134.11236,47.21247],[133.76964,46.11693],[133.09713,45.14407],[131.88345,45.32116],[131.02521,44.96795],[131.28856,44.11152],[131.14469,42.92999],[130.63387,42.90301],[130.64002,42.39501],[129.99427,42.98539],[129.59667,42.42498],[128.05222,41.99428],[128.20843,41.46677],[127.34378,41.50315],[126.86908,41.81657],[126.18205,41.10734],[125.07994,40.56982],[124.26562,39.92849],[122.86757,39.63779],[122.13139,39.17045],[121.05455,38.89747],[121.58599,39.36085],[121.37676,39.75026],[122.1686,40.42244],[121.64036,40.94639],[120.76863,40.59339],[119.6396,39.89806],[119.02346,39.25233],[118.04275,39.20427],[117.5327,38.73764],[118.0597,38.06148],[118.87815,37.89733],[118.91164,37.44846],[119.7028,37.15639],[120.82346,37.87043],[121.71126,37.48112],[122.35794,37.45448],[122.51999,36.93061],[121.10416,36.65133],[120.63701,36.11144],[119.66456,35.60979],[119.15121,34.90986],[120.22752,34.36033],[120.62037,33.37672],[121.22901,32.46032],[121.90815,31.69217],[121.89192,30.94935],[121.26426,30.67627],[121.50352,30.14291],[122.09211,29.83252],[121.93843,29.01802],[121.68444,28.22551],[121.12566,28.13567],[120.39547,27.05321],[119.5855,25.74078],[118.65687,24.54739],[117.28161,23.6245],[115.89074,22.78287],[114.76383,22.66807],[114.15255,22.22376],[113.80678,22.54834],[113.24108,22.05137],[111.84359,21.55049],[110.78547,21.39714],[110.44404,20.34103],[109.88986,20.28246],[109.62766,21.00823],[109.86449,21.39505],[108.52281,21.71521],[108.05018,21.55238],[107.04342,21.8119],[106.56727,22.2182],[106.7254,22.79427],[105.81125,22.97689],[105.32921,23.35206],[104.47686,22.81915],[103.50451,22.70376],[102.70699,22.7088],[102.17044,22.46475],[101.65202,22.3182],[101.80312,21.17437],[101.27003,21.20165],[101.18001,21.43657],[101.15003,21.84998],[100.41654,21.55884],[99.98349,21.74294],[99.2409,22.11831],[99.53199,22.94904],[98.89875,23.14272],[98.66026,24.06329],[97.60472,23.8974],[97.72461,25.08364],[98.67184,25.9187],[98.71209,26.74354],[98.68269,27.50881],[98.24623,27.74722],[97.91199,28.33595],[97.32711,28.26158],[96.24883,28.41103],[96.58659,28.83098],[96.11768,29.4528],[95.4048,29.03172],[94.56599,29.27744],[93.41335,28.64063],[92.50312,27.89688],[91.69666,27.77174],[91.25885,28.04061],[90.73051,28.06495],[90.01583,28.29644],[89.47581,28.04276],[88.81425,27.29932],[88.73033,28.08686],[88.12044,27.87654],[86.95452,27.97426],[85.82332,28.20358],[85.01164,28.64277],[84.23458,28.83989],[83.89899,29.32023],[83.33712,29.46373],[82.32751,30.11527],[81.5258,30.42272],[81.11126,30.18348],[79.72137,30.88271],[78.73889,31.51591],[78.45845,32.61816],[79.17613,32.48378],[79.20889,32.99439],[78.81109,33.5062],[78.91227,34.32194],[77.83745,35.49401],[76.19285,35.8984],[75.8969,36.66681],[75.15803,37.13303],[74.98,37.41999],[74.82999,37.99001],[74.86482,38.37885],[74.25751,38.60651],[73.92885,38.50582],[73.67538,39.43124],[73.96001,39.66001],[73.82224,39.89397],[74.77686,40.36643],[75.46783,40.56207],[76.52637,40.42795],[76.90448,41.06649],[78.1872,41.18532],[78.54366,41.58224],[80.11943,42.12394],[80.25999,42.35],[80.18015,42.92007],[80.86621,43.18036],[79.96611,44.91752],[81.94707,45.31703],[82.45893,45.53965],[83.18048,47.33003],[85.16429,47.00096],[85.72048,47.45297],[85.76823,48.45575],[86.59878,48.54918],[87.35997,49.21498],[87.75126,49.2972],[88.01383,48.59946],[88.8543,48.06908],[90.28083,47.69355],[90.97081,46.88815],[90.58577,45.71972],[90.94554,45.28607],[92.13389,45.11508],[93.48073,44.97547],[94.68893,44.35233],[95.30688,44.24133],[95.76245,43.31945],[96.3494,42.72564],[97.45176,42.74889],[99.51582,42.52469],[100.84587,42.6638],[101.83304,42.51487],[103.31228,41.90747],[104.52228,41.90835],[104.96499,41.59741],[106.12932,42.13433],[107.74477,42.48152],[109.2436,42.51945],[110.4121,42.87123],[111.12968,43.40683],[111.82959,43.74312],[111.66774,44.07318],[111.34838,44.45744],[111.87331,45.10208],[112.43606,45.01165],[113.46391,44.80889],[114.46033,45.33982],[115.9851,45.72724],[116.71787,46.3882],[117.4217,46.67273],[118.87433,46.80541],[119.66327,46.69268],[119.77282,47.04806],[118.86657,47.74706],[118.06414,48.06673],[117.29551,47.69771],[116.30895,47.85341],[115.74284,47.72654],[115.48528,48.13538],[116.1918,49.1346],[116.6788,49.88853],[117.87924,49.51098],[119.28846,50.14288],[119.27937,50.58291],[120.18205,51.64357],[120.73819,51.96412],[1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Gosen, Bradley S. 0000-0003-4214-3811 bvangose@usgs.gov","orcid":"https://orcid.org/0000-0003-4214-3811","contributorId":1174,"corporation":false,"usgs":true,"family":"Van Gosen","given":"Bradley","email":"bvangose@usgs.gov","middleInitial":"S.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":822336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hou, Baohong","contributorId":265156,"corporation":false,"usgs":false,"family":"Hou","given":"Baohong","email":"","affiliations":[{"id":54613,"text":"Geological Survey of Australia","active":true,"usgs":false}],"preferred":false,"id":822337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Song, Tianrui","contributorId":265157,"corporation":false,"usgs":false,"family":"Song","given":"Tianrui","email":"","affiliations":[{"id":54614,"text":"China","active":true,"usgs":false}],"preferred":false,"id":822338,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70214977,"text":"70214977 - 2019 - Holocene sedimentary architecture and paleoclimate variability at Mono Lake, California","interactions":[{"subject":{"id":70214977,"text":"70214977 - 2019 - Holocene sedimentary architecture and paleoclimate variability at Mono Lake, California","indexId":"70214977","publicationYear":"2019","noYear":false,"chapter":"19","title":"Holocene sedimentary architecture and paleoclimate variability at Mono Lake, California"},"predicate":"IS_PART_OF","object":{"id":70225733,"text":"70225733 - 2021 - From saline to freshwater: The diversity of western lakes in space and time","indexId":"70225733","publicationYear":"2021","noYear":false,"title":"From saline to freshwater: The diversity of western lakes in space and time"},"id":1}],"isPartOf":{"id":70225733,"text":"70225733 - 2021 - From saline to freshwater: The diversity of western lakes in space and time","indexId":"70225733","publicationYear":"2021","noYear":false,"title":"From saline to freshwater: The diversity of western lakes in space and time"},"lastModifiedDate":"2021-11-08T18:11:30.877032","indexId":"70214977","displayToPublicDate":"2019-12-31T08:11:48","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"19","title":"Holocene sedimentary architecture and paleoclimate variability at Mono Lake, California","docAbstract":"<div class=\"book-chapter-body\"><div id=\"ContentTab\" class=\"content active\"><div class=\"widget widget-BookSectionsText widget-instance-BookChaptertext\"><div class=\"module-widget\"><div class=\"widget-items\" data-widgetname=\"BookSectionsText\"><div class=\"category-section content-section js-content-section\" data-statsid=\"127627766\"><p>Mono Lake occupies an internally drained basin on the eastern flank of the Sierra Nevada, and it is sensitive to climatic changes affecting precipitation in the mountains (largely delivered in the form of snowpack). Efforts to recover cores from the lake have been impeded by coarse tephra erupted from the Mono Craters, and by disruption of the lake floor due to the uplift of Paoha Island ~300 yr ago. In this study, we describe the stratigraphy of cores from three recent campaigns, in 2007, 2009, and 2010, and the extents and depths of the tephras and disturbed sediments. In the most successful of these cores, BINGO-MONO10-4A-1N (BINGO/10-4A, 2.8 m water depth), we used core stratigraphy, geochemistry, radiocarbon dates, and tephrostratigraphy to show that the core records nearly all of the Holocene in varying proportions of detrital, volcanic, and authigenic sediment. Both the South Mono tephra of ca. 1350 cal yr B.P. (calibrated years before A.D. 1950) and the 600-yr-old North Mono–Inyo tephra are present in the BINGO/10-4A core, as are several older, as-yet-unidentified tephras. Laminated muds are inferred to indicate a relatively deep lake (³10 m over the core site) during the Early Holocene, similar to many records across the region during that period. The Middle and Late Holocene units are more coarsely bedded, and coarser grain size and greater and more variable amounts of authigenic carbonate detritus in this interval are taken to suggest lower lake levels, possibly due to lower effective wetness. A very low lake level, likely related to extreme drought, is inferred to have occurred sometime between 3500 and 2100 cal yr B.P. This interval likely corresponds to the previously documented Marina Low Stand and the regional Late Holocene Dry Period. The BINGO/10-4A core does not preserve a complete record of the period encompassing the Medieval Climate Anomaly, the Little Ice Age, and the historical period, probably due to erosion because of its nearshore position.</p></div></div></div></div></div></div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"From saline to freshwater: The diversity of western lakes in space and time","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2020.2536(19)","usgsCitation":"Zimmerman, S.H., Hemming, S.R., and Starratt, S.W., 2019, Holocene sedimentary architecture and paleoclimate variability at Mono Lake, California, chap. 19 <i>of</i> From saline to freshwater: The diversity of western lakes in space and time, v. 536, 399, 36 p., https://doi.org/10.1130/2020.2536(19).","productDescription":"399, 36 p.","ipdsId":"IP-077780","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":379036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Califiornia","otherGeospatial":"Mono Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.22775268554686,\n              37.90736658145496\n            ],\n            [\n              -118.828125,\n              37.90736658145496\n            ],\n            [\n              -118.828125,\n              38.11619121500379\n            ],\n            [\n              -119.22775268554686,\n              38.11619121500379\n            ],\n            [\n              -119.22775268554686,\n              37.90736658145496\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"536","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zimmerman, Susan H","contributorId":242604,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Susan","email":"","middleInitial":"H","affiliations":[{"id":48479,"text":"LLNL-CAMS","active":true,"usgs":false}],"preferred":false,"id":800474,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hemming, Sidney R. 0000-0001-8117-2303","orcid":"https://orcid.org/0000-0001-8117-2303","contributorId":229565,"corporation":false,"usgs":false,"family":"Hemming","given":"Sidney","email":"","middleInitial":"R.","affiliations":[{"id":28041,"text":"Lamont-Doherty Earth Observatory, Columbia University","active":true,"usgs":false}],"preferred":false,"id":800475,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":800476,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70236885,"text":"70236885 - 2019 - Significant seismic behavior features of two tall buildings inferred from response records","interactions":[],"lastModifiedDate":"2022-09-21T13:21:38.68656","indexId":"70236885","displayToPublicDate":"2019-12-31T08:10:53","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Significant seismic behavior features of two tall buildings inferred from response records","docAbstract":"<p>In this paper, recent studies of recorded responses of behavior and performances of two instrumented tall buildings subjected to long-period motions from events that originate at far distances (e.g. 100-800km) are presented. Significant results indicate that (a) computed average drift ratios are substantial (~0.5%), and (b) there is permanent shift of fundamental frequencies for a tall building which was hundreds of km away from the epicenter of a large (M9.0) earthquake. In addition, (c) there are significant local site effects and basin effects, some causing resonance of buildings, (d) beating effect are observed particularly in elongated responses whereby elongated responses can contribute to low-cycle fatigue, and significantly, and (e) identified critical viscous damping percentages are low (&lt;3%). This is consistent with recent recommendations of the Los Angeles Tall Buildings Design Council (LATBDC) 1 and the Tall Buildings Initiative (TBI) of Pacific Earthquake Engineering Center (PEER)2, and (f) beating effects are observed particularly in elongated responses whereby elongated responses can contribute to low-cycle fatigue. </p><p>Analyses of one tall building from Japan affected during the 11 March 2011 M9.0 Tohoku earthquake, and one in Los Angeles, California during the 17 January 1994 M6.7 Northridge earthquake are presented. A variety of methods including spectral analyses, system identification, and time-frequency functions are used to extract dynamic response characteristics (modal frequencies and damping), drift ratios, and effect of site conditions including basin effects. </p><p>In general, data-driven analyses show that, the two tall buildings (as well as many others not reported herein) exhibit (a) lower damping than those used in current design process analyses (&lt;3%) and (b) a beating effect and significant basin effect. </p><p>These are significant: (1) Additional damping generating elements can be considered during design processes to decrease the prolonged and amplified responses. (2) Basin effects are not considered during design, it is important to at least consider looking into such effects as these can result in resonance and amplified responses as shown in recent studies.</p>","conferenceTitle":"12th Canadian Conference on Earthquake Engineering","conferenceDate":"Jun 17-20, 2019","conferenceLocation":"Quebec City, Canada","language":"English","publisher":"Canadian Association for Earthquake Engineering (CAEE)","usgsCitation":"Celebi, M., 2019, Significant seismic behavior features of two tall buildings inferred from response records, 12th Canadian Conference on Earthquake Engineering, Quebec City, Canada, Jun 17-20, 2019, 8 p.","productDescription":"8 p.","ipdsId":"IP-104455","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":407130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":407114,"type":{"id":15,"text":"Index Page"},"url":"https://www.caee.ca/12cceeproceedings/"}],"country":"Japan, United States","city":"Los Angeles, Osaka","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              135.43533325195312,\n              34.615126683462194\n            ],\n            [\n              135.57815551757812,\n              34.615126683462194\n            ],\n            [\n              135.57815551757812,\n              34.73709847578162\n            ],\n            [\n              135.43533325195312,\n              34.73709847578162\n            ],\n            [\n              135.43533325195312,\n              34.615126683462194\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.2843017578125,\n              34.020794936018724\n            ],\n            [\n              -118.19915771484374,\n              34.020794936018724\n            ],\n            [\n              -118.19915771484374,\n              34.07143110146331\n            ],\n            [\n              -118.2843017578125,\n              34.07143110146331\n            ],\n            [\n              -118.2843017578125,\n              34.020794936018724\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":852464,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70215577,"text":"70215577 - 2019 - Sixty years of White-tailed Deer (Odocoileus virginianus) yarding in a Gray Wolf (Canis lupus)–deer system","interactions":[],"lastModifiedDate":"2020-10-23T12:51:40.450304","indexId":"70215577","displayToPublicDate":"2019-12-31T07:48:16","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7173,"text":"Canadian Field Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Sixty years of White-tailed Deer (Odocoileus virginianus) yarding in a Gray Wolf (Canis lupus)–deer system","docAbstract":"<div><p>This article synthesizes information from over a six-decade period of studies of White-tailed Deer (<i>Odocoileus virginianus</i>) use of a winter yard and subject to Gray Wolf (<i>Canis lupus</i>) predation in northeastern Minnesota. It also adds spring migration data from 35 adult female deer and fawns studied there during 1998, 1999, 2001, 2014, and 2017. Twenty-nine of these deer migrated in spring a mean distance of 29 km (SE = 4), a maximum distance of 78 km, and at a mean bearing of 83° (SE = 12; range 21–348). These findings are similar to those from 49 deer (both sexes) from the same yard studied during 1974–1984, that migrated a mean distance of 25 km (SE = 1.8) and a mean bearing of 77° ± 4 SE. Between the two periods, the wolf population fluctuated considerably, the winter range of deer in the area where these deer spent summer greatly diminished, and both derechos and fires disturbed the habitat. This study attests to the selective advantage of the migratory tradition of deer in this yard.</p></div>","language":"English","publisher":"Canadian Field Naturalist","doi":"10.22621/cfn.v133i4.2136","usgsCitation":"Mech, L.D., and Barber-Meyer, S., 2019, Sixty years of White-tailed Deer (Odocoileus virginianus) yarding in a Gray Wolf (Canis lupus)–deer system: Canadian Field Naturalist, v. 133, no. 4, p. 343-351, https://doi.org/10.22621/cfn.v133i4.2136.","productDescription":"9 p.","startPage":"343","endPage":"351","ipdsId":"IP-096713","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":458869,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.22621/cfn.v133i4.2136","text":"Publisher Index Page"},{"id":437244,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72B8XCT","text":"USGS data release","linkHelpText":"Garden Lake Deer Yard (Lake Co., MN) Migration Data, 1998-2017"},{"id":379682,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.636474609375,\n              47.07760411715964\n            ],\n            [\n              -89.549560546875,\n              47.07760411715964\n            ],\n            [\n              -89.549560546875,\n              48.64016871811908\n            ],\n            [\n              -93.636474609375,\n              48.64016871811908\n            ],\n            [\n              -93.636474609375,\n              47.07760411715964\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"133","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-05-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":802834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber-Meyer, Shannon 0000-0002-3048-2616","orcid":"https://orcid.org/0000-0002-3048-2616","contributorId":217939,"corporation":false,"usgs":true,"family":"Barber-Meyer","given":"Shannon","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":802835,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70208458,"text":"70208458 - 2019 - Contrasting demographic responses of toad populations to regionally synchronous pathogen (Batrachochytrium dendrobatidis) dynamics","interactions":[],"lastModifiedDate":"2023-06-23T14:22:42.469706","indexId":"70208458","displayToPublicDate":"2019-12-31T07:47:54","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Contrasting demographic responses of toad populations to regionally synchronous pathogen (<i>Batrachochytrium dendrobatidis</i>) dynamics","title":"Contrasting demographic responses of toad populations to regionally synchronous pathogen (Batrachochytrium dendrobatidis) dynamics","docAbstract":"<p><i>Batrachochytrium dendrobatidis</i><span>&nbsp;(Bd), a fungal&nbsp;pathogen&nbsp;that causes amphibian&nbsp;chytridiomycosis, has been implicated in population declines globally. To better understand how Bd affects survival and how threats vary spatially and temporally, we conducted long-term (range: 9–13&nbsp;yrs) capture-recapture studies of boreal toads (</span><span><i>Anaxyrus boreas</i></span><span>) from three similar communities in western Montana. We also estimated temporal and spatial variation in population-level Bd prevalence among populations and the potential role of co-occurring Columbia spotted frogs (</span><span><i>Rana</i><i>&nbsp;luteiventris</i></span><span>) in driving infection dynamics. Hierarchical models that accounted for detection uncertainty revealed Bd reduced apparent survival in one population that declined, was unassociated with survival in one stationary population, and was associated with increased survival in one population that is near extirpation. Despite different effects of Bd on hosts, pathogen prevalence was similar and synchronous across the populations separated by 111–176&nbsp;km. Variation in Bd prevalence was driven partly by seasonal temperatures, but opposite the direction expected. Bd prevalence also decreased sharply over time across all populations, unrelated to trends in temperature, boreal toad survival, or infection dynamics of co-occurring Columbia spotted frogs. Toad Bd prevalence increased when frog abundance was high, consistent with an amplification effect. However, Bd prevalence of toads decreased as Bd prevalence of spotted frogs increased, consistent with a dilution effect. Our results reveal surprising variation in responses to Bd and show pathogen prevalence is not predictive of survival or population risk, and they illustrate the complexity in understanding disease dynamics across multiple populations.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2019.108373","usgsCitation":"Hossack, B.R., Russell, R., and McCaffery, R.M., 2019, Contrasting demographic responses of toad populations to regionally synchronous pathogen (Batrachochytrium dendrobatidis) dynamics: Biological Conservation, v. 241, 108373, 10 p.; Data release, https://doi.org/10.1016/j.biocon.2019.108373.","productDescription":"108373, 10 p.; Data release","ipdsId":"IP-106168","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":372208,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418324,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JMV5BT","text":"USGS data release","description":"USGS data release","linkHelpText":"Boreal toad survival data in relation to Bd status and community composition"}],"country":"United States","otherGeospatial":"Western Montana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.70800781249999,\n              47.45780853075031\n            ],\n            [\n              -114.52148437499999,\n              46.5286346952717\n            ],\n            [\n              -114.60937499999999,\n              45.521743896993634\n            ],\n            [\n              -113.8623046875,\n              45.55252525134013\n            ],\n            [\n              -112.8955078125,\n              44.37098696297173\n            ],\n            [\n              -111.1376953125,\n              44.5278427984555\n            ],\n            [\n              -110.9619140625,\n              45.058001435398275\n            ],\n            [\n              -107.9296875,\n              44.933696389694674\n            ],\n            [\n              -107.92968749999999,\n              48.980216985374966\n            ],\n            [\n              -116.36718749999997,\n              48.980216985374966\n            ],\n            [\n              -115.70800781249999,\n              47.45780853075031\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"241","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":781971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Russell, Robin E. 0000-0001-8726-7303","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":219536,"corporation":false,"usgs":true,"family":"Russell","given":"Robin E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":781972,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCaffery, Rebecca M. 0000-0002-0396-0387","orcid":"https://orcid.org/0000-0002-0396-0387","contributorId":211539,"corporation":false,"usgs":true,"family":"McCaffery","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":781973,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208239,"text":"70208239 - 2019 - Integrating the sociology of space with geospatial semantics relation properties for data graphs","interactions":[],"lastModifiedDate":"2024-09-16T14:21:18.545056","indexId":"70208239","displayToPublicDate":"2019-12-31T07:41:44","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Integrating the sociology of space with geospatial semantics relation properties for data graphs","docAbstract":"This research posits that socially constructed spatial relations address concepts of interactions instead of intersections, human/tool agents instead of physical processes, and broader ranges of geographical outcomes.  The hypothesis is that social space can be represented by using patterns of logic relations between sets of entities. The data corpus of spatial relations was extracted from geographic term definitions. The relations were further analyzed as primitives using Case Grammar Matrix models. These findings are being related to Web Ontology Language (OWL) properties. This approach allows an extensive range of natural language terms to instantiate ontology sub-types, while supporting inferences to study their logical implications.","language":"English","publisher":"University of California-Santa Barbara","usgsCitation":"Varanka, D.E., 2019, Integrating the sociology of space with geospatial semantics relation properties for data graphs, 3 p.","productDescription":"3 p.","ipdsId":"IP-111976","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":371991,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Varanka, Dalia E. 0000-0003-2857-9600 dvaranka@usgs.gov","orcid":"https://orcid.org/0000-0003-2857-9600","contributorId":1296,"corporation":false,"usgs":true,"family":"Varanka","given":"Dalia","email":"dvaranka@usgs.gov","middleInitial":"E.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":781130,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70212988,"text":"70212988 - 2019 - Pedogenic evolution on the arid Bishop Creek moraines, eastern Sierra Nevada, California","interactions":[],"lastModifiedDate":"2020-09-08T14:00:19.599991","indexId":"70212988","displayToPublicDate":"2019-12-31T07:39:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1198,"text":"Catena","active":true,"publicationSubtype":{"id":10}},"title":"Pedogenic evolution on the arid Bishop Creek moraines, eastern Sierra Nevada, California","docAbstract":"<p><span>Soil chronosequences on alpine moraine complexes have been used to help unravel the glacial histories of the eastern Sierra Nevada. The moraine sequence along Bishop Creek includes well-preserved moraines that have been previously dated using cosmogenic&nbsp;</span><sup>36</sup><span>Cl surface exposure ages. The goal of this study was to interpret pedogenesis within a soil geomorphic context on these quantitatively dated moraines. Soil development, surface clast cover, and moraine morphology were studied on seven of the moraines, ranging in age from 15 to 170 ka. Older moraines had gentler slopes, broader crests, and decreased surface rock cover. Soils showed weak development across the chronosequence of moraines. Pedogenesis involved slight increases in clay, the formation of clay lamellae, development of a vesicular horizon in a surface layer of aeolian dust, and weathering of surface and subsurface granitic clasts. Soil reddening and structure development were minimal. Soil formation was likely inhibited by the arid to semi-arid climate and intermittent wind and water erosion during the time span of the chronosequence.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.catena.2019.104222","usgsCitation":"Rossi, A., Graham, R., and Kendrick, K.J., 2019, Pedogenic evolution on the arid Bishop Creek moraines, eastern Sierra Nevada, California: Catena, v. 183, 104222, 14 p., https://doi.org/10.1016/j.catena.2019.104222.","productDescription":"104222, 14 p.","ipdsId":"IP-102151","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":378160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Eastern Sierra Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.87207031250001,\n              37.69251435532741\n            ],\n            [\n              -118.49304199218749,\n              37.69251435532741\n            ],\n            [\n              -118.49304199218749,\n              37.84015683604136\n            ],\n            [\n              -118.87207031250001,\n              37.84015683604136\n            ],\n            [\n              -118.87207031250001,\n              37.69251435532741\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"183","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rossi, Annie 0000-0001-8955-0065","orcid":"https://orcid.org/0000-0001-8955-0065","contributorId":239863,"corporation":false,"usgs":false,"family":"Rossi","given":"Annie","email":"","affiliations":[{"id":48012,"text":"U.S.D.A. - NRCS","active":true,"usgs":false}],"preferred":false,"id":797908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Robert","contributorId":239864,"corporation":false,"usgs":false,"family":"Graham","given":"Robert","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":797909,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendrick, Katherine J. 0000-0002-9839-6861","orcid":"https://orcid.org/0000-0002-9839-6861","contributorId":207907,"corporation":false,"usgs":true,"family":"Kendrick","given":"Katherine","email":"","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":797910,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70215595,"text":"70215595 - 2019 - Predation strategies of larval clownfish capturing evasive copepod prey","interactions":[],"lastModifiedDate":"2020-10-26T12:28:15.695811","indexId":"70215595","displayToPublicDate":"2019-12-31T07:24:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Predation strategies of larval clownfish capturing evasive copepod prey","docAbstract":"<p class=\"abstract_block\">Fish larvae depend on finding and capturing enough prey for rapid growth during the planktonic phase. The diet of many fish larvae is dominated by copepods, small crustaceans that are highly sensitive to hydrodynamic disturbances and possess strong escape responses. We examined how fish larvae with immature jaws, musculature and fins capture such evasive prey. The kinematics of feeding attempts by larval clownfish<span>&nbsp;</span><i>Amphiprion ocellaris</i><span>&nbsp;</span>on 3 developmental stages of copepod<span>&nbsp;</span><i>Bestiolina similis</i><span>&nbsp;</span>were investigated using high-speed videography. A stealthy approach brought the fish larva within ~1 mm of the copepod; shortest distances were observed in early larvae (1 to 5 d post-hatch [dph]) attacking immature copepods. Peak speeds during strikes increased with fish age and copepod developmental stage (150 to 250 mm s<sup>-1</sup>), with time to capture &lt;8 ms on average. Most successful captures (70%) were of copepods that failed to initiate an escape response during the strike. If a copepod initiated an escape, capture success decreased to ~50% for nauplii and copepodites and 25% for adults. Adult copepods were more likely to attempt an escape response than copepodites or nauplii. Prey stage and the interaction between strike distance and speed were the parameters that best fit a logistic regression model to the observed captures and escapes. The successful switch to larger and more evasive copepod prey by<span>&nbsp;</span><i>A. ocellaris</i><span>&nbsp;</span>larvae did not occur until 7 dph and coincided with ontogenetic changes (post-flexion) and a predatory strategy that included shorter approach phases and greater strike speeds.</p>","language":"English","publisher":"Inter Research","doi":"10.3354/meps12888","usgsCitation":"Robinson, H.E., Strickler, J.R., Henderson, M., Hartline, D.K., and Lenz, P.H., 2019, Predation strategies of larval clownfish capturing evasive copepod prey: Marine Ecology Progress Series, v. 614, p. 125-146, https://doi.org/10.3354/meps12888.","productDescription":"22 p.","startPage":"125","endPage":"146","ipdsId":"IP-102113","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":379735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"614","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, H. Eve","contributorId":243964,"corporation":false,"usgs":false,"family":"Robinson","given":"H.","email":"","middleInitial":"Eve","affiliations":[{"id":48777,"text":"Pacific Biosciences Research Center, HI","active":true,"usgs":false}],"preferred":false,"id":802894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strickler, J. Rudi","contributorId":243965,"corporation":false,"usgs":false,"family":"Strickler","given":"J.","email":"","middleInitial":"Rudi","affiliations":[{"id":48778,"text":"University of Wisconsin-Milwaukee, WI","active":true,"usgs":false}],"preferred":false,"id":802895,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henderson, Mark J. 0000-0002-2861-8668 mhenderson@usgs.gov","orcid":"https://orcid.org/0000-0002-2861-8668","contributorId":198609,"corporation":false,"usgs":true,"family":"Henderson","given":"Mark J.","email":"mhenderson@usgs.gov","affiliations":[],"preferred":false,"id":802896,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartline, Daniel K.","contributorId":243966,"corporation":false,"usgs":false,"family":"Hartline","given":"Daniel","email":"","middleInitial":"K.","affiliations":[{"id":48777,"text":"Pacific Biosciences Research Center, HI","active":true,"usgs":false}],"preferred":false,"id":802897,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lenz, Petra H.","contributorId":243967,"corporation":false,"usgs":false,"family":"Lenz","given":"Petra","email":"","middleInitial":"H.","affiliations":[{"id":48777,"text":"Pacific Biosciences Research Center, HI","active":true,"usgs":false}],"preferred":false,"id":802898,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70206051,"text":"sir20195115 - 2019 - A probabilistic assessment methodology for carbon dioxide enhanced oil recovery and associated carbon dioxide retention","interactions":[],"lastModifiedDate":"2022-04-25T18:38:51.233329","indexId":"sir20195115","displayToPublicDate":"2019-12-31T07:20:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5115","displayTitle":"A Probabilistic Assessment Methodology for Carbon Dioxide Enhanced Oil Recovery and Associated Carbon Dioxide Retention","title":"A probabilistic assessment methodology for carbon dioxide enhanced oil recovery and associated carbon dioxide retention","docAbstract":"<p>The U.S. Energy Independence and Security Act of 2007 authorized the U.S. Geological Survey (USGS) to conduct a national assessment of the potential volume of hydrocarbons recoverable by injection of carbon dioxide (CO<sub>2</sub>) into known oil reservoirs with historical production. The implementation of CO<sub>2</sub> enhanced oil recovery (CO<sub>2</sub>-EOR) techniques could increase the U.S. recoverable hydrocarbon resource base. Use of anthropogenic CO<sub>2</sub> in the CO<sub>2</sub>-EOR process could reduce the amount of CO<sub>2</sub> released to the atmosphere by allowing a percentage of the injected CO<sub>2</sub> to remain in reservoir pore space once occupied by produced oil and water or by CO<sub>2</sub> dissolution in oil and water in the reservoir.</p><p>The USGS has developed a new methodology for the national assessment of technically recoverable oil resources that may be produced by using current CO<sub>2</sub>-EOR technologies. The methodology relies on a proprietary reservoir-level database, the comprehensive resource database (CRD). The CRD incorporates commercially available geologic and engineering data, and USGS-defined play averages or province averages of reservoir data were used to populate incomplete records. Values from the CRD are used to estimate the original oil in place (<i>OOIP</i>) for each reservoir. The inputs are reviewed by USGS geologists, particularly when play or province averages have been used. Monte Carlo simulation is used to produce a numerical probability distribution for the <i>OOIP</i> for each reservoir, with the mean defined as the value of the <i>OOIP</i> in the CRD. A reservoir model (CO<sub>2</sub> Prophet, developed for the U.S. Department of Energy by Texaco, Inc.) is used to determine the incremental recovery factors for oil during the CO<sub>2</sub>-EOR process, on an individual reservoir basis. The model is also used to estimate the volume of CO<sub>2</sub> remaining in the reservoir after the CO<sub>2</sub>-EOR process is complete. Empirical decline curve analysis and comparison with data from published papers and reports on CO<sub>2</sub>-EOR projects are utilized to substantiate the simulation results. Numerical distributions of recovery factors are prepared for variations in the reservoir lithology (clastic or carbonate). The distribution of incremental oil is computed by multiplying the appropriate probability distribution of recovery factors by the individual reservoir distribution of the <i>OOIP</i>. A way to estimate the CO<sub>2</sub> remaining in the reservoir after the completion of the CO<sub>2</sub>-EOR process is also included in the methodology.</p><p>Assessment results will be aggregated to play, petroleum province, regional, and national scales. This assessment methodology has been tested on the Horseshoe Atoll, Upper Pennsylvanian-Wolfcampian play in the Permian Basin Province in Texas; the play consists of 27 reservoirs having at least 2 billion barrels of <i>OOIP</i> that are amenable to the CO<sub>2</sub>-EOR process. The play was selected as a test case because CO<sub>2</sub>-EOR production data and published reports are available for several reservoirs within the play. Preliminary estimates of oil recoverable by implementation of miscible CO<sub>2</sub>-EOR are comparable to those reported in the literature and obtained by reservoir decline curve analysis.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195115","usgsCitation":"Warwick, P.D., Attanasi, E.D., Olea, R.A., Blondes, M.S., Freeman, P.A., Brennan, S.T., Merrill, M.D., Verma, M.K., Karacan, C.Ö., Shelton, J.L., Lohr, C.D., Jahediesfanjani, H., and Roueché, J.N., 2019, A probabilistic assessment methodology for carbon dioxide enhanced oil recovery and associated carbon dioxide retention: U.S. Geological Survey Scientific Investigations Report 2019–5115, 51 p., https://doi.org/10.3133/sir20195115.","productDescription":"x, 51 p.","numberOfPages":"66","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-069832","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":399600,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109570.htm"},{"id":370863,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5115/sir20195115.pdf","text":"Report","size":"8.81 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5115"},{"id":370862,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5115/coverthb.jpg"}],"contact":"<p><a href=\"https://www.usgs.gov/centers/eersc\" data-mce-href=\"https://www.usgs.gov/centers/eersc\">Eastern Energy Resources Science Center</a><br>12201 Sunrise Valley Drive<br>956 National Center<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>1 Introduction</li><li>2 Information on CO<sub>2</sub>-EOR and Related Topics</li><li>3 Operational Assumptions</li><li>4 Methodology</li><li>5 Summary</li><li>6 References Cited</li><li>7 Glossary</li><li>Appendix 1. Input Data Variables for the Assessment of Oil Reservoirs that are Candidates for the Application of the CO<sub>2</sub>-EOR Process</li><li>Appendix 2. Sensitivity Analysis of Recovery Factors of the Original Oil in Place for the Representative Carbonate and Clastic Reservoirs of the Horseshoe Atoll Play of the Permian Basin</li><li>Appendix 3. Probabilistic Estimates and Aggregation—A Pilot Case Study</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-12-31","noUsgsAuthors":false,"publicationDate":"2019-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":205928,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Attanasi, Emil D. 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":198728,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil D.","email":"attanasi@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olea, Ricardo A. 0000-0003-4308-0808 rolea@usgs.gov","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":208109,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo","email":"rolea@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blondes, Madalyn S. 0000-0003-0320-0107 mblondes@usgs.gov","orcid":"https://orcid.org/0000-0003-0320-0107","contributorId":3598,"corporation":false,"usgs":true,"family":"Blondes","given":"Madalyn S.","email":"mblondes@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Freeman, Philip A. 0000-0002-0863-7431","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":206294,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773415,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brennan, Sean T. 0000-0002-9381-6863 sbrennan@usgs.gov","orcid":"https://orcid.org/0000-0002-9381-6863","contributorId":205926,"corporation":false,"usgs":true,"family":"Brennan","given":"Sean","email":"sbrennan@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773416,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Merrill, Matthew D. 0000-0003-3766-847X","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":205698,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773417,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Verma, Mahendra K. 0000-0002-1100-5099 mverma@usgs.gov","orcid":"https://orcid.org/0000-0002-1100-5099","contributorId":208003,"corporation":false,"usgs":true,"family":"Verma","given":"Mahendra","email":"mverma@usgs.gov","middleInitial":"K.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773411,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Karacan, C. Ozgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":201991,"corporation":false,"usgs":true,"family":"Karacan","given":"C.","email":"","middleInitial":"Ozgen","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773421,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shelton, Jenna L. 0000-0002-1377-0675 jlshelton@usgs.gov","orcid":"https://orcid.org/0000-0002-1377-0675","contributorId":5025,"corporation":false,"usgs":true,"family":"Shelton","given":"Jenna L.","email":"jlshelton@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773422,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lohr, Celeste D. 0000-0001-6287-9047 clohr@usgs.gov","orcid":"https://orcid.org/0000-0001-6287-9047","contributorId":3866,"corporation":false,"usgs":true,"family":"Lohr","given":"Celeste D.","email":"clohr@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773420,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jahediesfanjani, Hossein 0000-0001-6281-5166","orcid":"https://orcid.org/0000-0001-6281-5166","contributorId":201000,"corporation":false,"usgs":false,"family":"Jahediesfanjani","given":"Hossein","affiliations":[],"preferred":false,"id":773418,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Roueche, Jacqueline N. 0000-0002-9387-9899","orcid":"https://orcid.org/0000-0002-9387-9899","contributorId":214932,"corporation":false,"usgs":false,"family":"Roueche","given":"Jacqueline","email":"","middleInitial":"N.","affiliations":[{"id":37768,"text":"USGS Contractor","active":true,"usgs":false}],"preferred":false,"id":773419,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70212697,"text":"70212697 - 2019 - Analog experiments of lava flow emplacement","interactions":[],"lastModifiedDate":"2020-08-26T13:21:50.661146","indexId":"70212697","displayToPublicDate":"2019-12-31T07:12:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":793,"text":"Annals of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Analog experiments of lava flow emplacement","docAbstract":"<p>Laboratory experiments that simulate lava flows have been in use by volcanologists for many years. The behavior of flows in the lab, where “eruption” parameters, material properties, and environmental settings are tightly controlled, provides insight into the influence of various factors on flow evolution. A second benefit of laboratory lava flows is to provide a set of observations with which numerical models of flow emplacement can be tested. Models of lava flow emplacement vary in mathematical approach, physical assumptions, and computational cost. Nonetheless, all models require thorough testing and evaluation, and laboratory experiments produce an excellent test for models.</p><p>This paper provides a primer on modern analog laboratory lava flow experiments. It reviews scaling con- siderations and provides quantitative information meant to guide future experimentalists in designing their experiments to be relevant to natural processes. Traditional and novel laboratory techniques are described, including a discussion of current limitations. New insights from recent experiments highlight the impact of topographic conditions and highlight the importance of considering bed roughness, major obstacles, and slope breaks. The influence of episodic or non-uniform effusion rate is demonstrated through recent experi- mental works. Lastly, the paper discusses several open questions about lava flow emplacement and the ways in which future improvements in experimental methods, such as the ability to utilize three-phase suspensions and materials with complex rheologies and to image the interior of flows could help answer these.</p>","language":"English","publisher":"National Institute of Geophysics and Volcanology (INGV)","doi":"10.4401/ag-7843","usgsCitation":"Lev, E., Rumpf, M.E., and Dietterich, H., 2019, Analog experiments of lava flow emplacement: Annals of Geophysics, v. 62, no. 2, VO225, 21 p., https://doi.org/10.4401/ag-7843.","productDescription":"VO225, 21 p.","ipdsId":"IP-103534","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":458876,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4401/ag-7843","text":"Publisher Index Page"},{"id":377875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lev, Einat 0000-0002-8174-0558","orcid":"https://orcid.org/0000-0002-8174-0558","contributorId":194355,"corporation":false,"usgs":false,"family":"Lev","given":"Einat","email":"","affiliations":[{"id":27369,"text":"Lamont-Doherty Earth Observatory at Columbia University","active":true,"usgs":false}],"preferred":false,"id":797292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rumpf, M. Elise 0000-0001-7906-2623","orcid":"https://orcid.org/0000-0001-7906-2623","contributorId":217992,"corporation":false,"usgs":true,"family":"Rumpf","given":"M.","email":"","middleInitial":"Elise","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":797294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dietterich, Hannah R. 0000-0001-7898-4343","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":212771,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":797293,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208836,"text":"70208836 - 2019 - Gopherus agassizii (Cooper 1861) – Agassiz’s Desert Tortoise, Mojave Desert Tortoise","interactions":[],"lastModifiedDate":"2021-12-10T15:22:19.1894","indexId":"70208836","displayToPublicDate":"2019-12-31T06:51:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5938,"text":"Chelonian Research Monographs","printIssn":"1088-7105","active":true,"publicationSubtype":{"id":10}},"displayTitle":"<i>Gopherus agassizii</i> (Cooper 1861) – Agassiz’s Desert Tortoise, Mojave Desert Tortoise","title":"Gopherus agassizii (Cooper 1861) – Agassiz’s Desert Tortoise, Mojave Desert Tortoise","docAbstract":"<div>The Mojave Desert Tortoise,<span>&nbsp;</span><i>Gopherus agassizii</i><span>&nbsp;</span>(Family Testudinidae), is a large terrestrial species that can reach &gt;370 mm in straight midline carapace length (CL) but most individuals are smaller. Both sexes reach adulthood at 12 to 21 years and ca. 180 mm CL. The species is sexually dimorphic, with males typically larger than females; sexual characteristics of males become more obvious with increasing size and age. Females lay from 1 to 10 eggs per clutch and from 0 to 3 clutches annually, with eggs hatching after 67 to 104 days. Populations of<span>&nbsp;</span><i>G. agassizii</i><span>&nbsp;</span>have declined rapidly over the last several decades. Habitat throughout the geographic range has experienced major losses, degradation, and fragmentation as a result of urban and agricultural development, livestock grazing, military activities, transportation and utility corridors, high levels of visitor use, vehicle-oriented recreation, and energy development. Disturbed habitats were vulnerable to invading non-native grasses and forbs, creating an unnatural and destructive grass-fire cycle. When consumed by tortoises as their only diet, non-native (and native) grasses are harmful because of limited nutrients. Additionally, subsidized predators (Common Ravens, Coyotes, and dogs), infectious diseases, drought, and vandalism, add to the catastrophic effects of habitat loss and degradation. Tortoise populations have declined rapidly in density, and most populations are below viability, with fewer than 3.9 adults/km2. These declines occurred despite protections afforded by federal and state laws and regulations, ca. 26,000 km2 of federally designated critical habitat units, two Recovery Plans, and efforts to reduce the negative impacts of human activities. As noted by Allison and McLuckie (2018), the negative population trends in most of the critical habitat units suggest that under current conditions<span>&nbsp;</span><i>G. agassizii</i><span>&nbsp;</span>is on the path to extinction.</div><div><strong>Distribution.</strong><span>&nbsp;</span>– USA. Distributed in parts of the southern Great Basin, Mojave, and western Sonoran deserts in southeastern California, southern Nevada, northwestern Arizona, and southwestern Utah, north and west of the Grand Canyon/Colorado River complex, with the exception of a small population east of the Colorado River.</div><div><strong>Synonymy.</strong><span>&nbsp;</span>–<span>&nbsp;</span><i>Xerobates agassizii</i><span>&nbsp;</span>Cooper 1861,<span>&nbsp;</span><i>Testudo agassizii, Gopherus agassizii, Gopherus polyphemus agassizii, Scaptochelys agassizii, Xerobates lepidocephalus</i><span>&nbsp;</span>Ottley and Velázques Solis 1989.</div><div><strong>Subspecies</strong>. – None currently recognized.</div><div><strong>Status.</strong><span>&nbsp;</span>– IUCN 2019 Red List:<span>&nbsp;</span><a href=\"https://www.iucnredlist.org/species/9400/12983037\" data-mce-href=\"https://www.iucnredlist.org/species/9400/12983037\"><span>Vulnerable (VU A1acde+2cde; assessed 1996)</span></a>; TFTSG Provisional Red List: Critically Endangered (CR; assessed 2011, 2018); CITES: Appendix II (Testudinidae spp.); US ESA: Threatened.</div>","language":"English","publisher":"Chelonian Research Foundation and Turtle Conservancy","doi":"10.3854/crm.5.109.agassizii.v1.2019","usgsCitation":"Berry, K.H., and Murphy, R.W., 2019, Gopherus agassizii (Cooper 1861) – Agassiz’s Desert Tortoise, Mojave Desert Tortoise: Chelonian Research Monographs, v. 5, no. 13, p. 1-43, https://doi.org/10.3854/crm.5.109.agassizii.v1.2019.","productDescription":"44 p.","startPage":"1","endPage":"43","ipdsId":"IP-111073","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":458880,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3854/crm.5.109.agassizii.v1.2019","text":"Publisher Index Page"},{"id":372942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.630859375,\n              36.491973470593685\n            ],\n            [\n              -117.7734375,\n              35.496456056584165\n            ],\n            [\n              -116.630859375,\n              33.87041555094183\n            ],\n            [\n              -114.9169921875,\n              32.69486597787505\n            ],\n            [\n              -114.169921875,\n              33.17434155100208\n            ],\n            [\n              -114.0380859375,\n              34.34343606848294\n            ],\n            [\n              -114.169921875,\n              35.460669951495305\n            ],\n            [\n              -113.64257812499999,\n              37.33522435930639\n            ],\n            [\n              -112.412109375,\n              37.68382032669382\n            ],\n            [\n              -112.4560546875,\n              38.272688535980976\n            ],\n            [\n              -114.521484375,\n              37.579412513438385\n            ],\n            [\n              -116.103515625,\n              36.84446074079564\n            ],\n            [\n              -116.630859375,\n              36.491973470593685\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"5","issue":"13","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Berry, Kristin H. 0000-0003-1591-8394 kristin_berry@usgs.gov","orcid":"https://orcid.org/0000-0003-1591-8394","contributorId":437,"corporation":false,"usgs":true,"family":"Berry","given":"Kristin","email":"kristin_berry@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Robert W.","contributorId":147498,"corporation":false,"usgs":false,"family":"Murphy","given":"Robert","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":783569,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70208580,"text":"70208580 - 2019 - Genetically-informed seed transfer zones for Pleuraphis jamesii, Sphaeralcea parvifolia, and Sporobolus cryptandrus across the Colorado Plateau and adjacent regions","interactions":[],"lastModifiedDate":"2020-02-20T06:51:01","indexId":"70208580","displayToPublicDate":"2019-12-31T06:48:01","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Genetically-informed seed transfer zones for Pleuraphis jamesii, Sphaeralcea parvifolia, and Sporobolus cryptandrus across the Colorado Plateau and adjacent regions","docAbstract":"(Massatti) Introduction: The majority of native plant materials (NPMs) utilized for restoration purposes are developed for widely distributed species that provide a variety of ecosystem services (Wood et al. 2015; Butterfield et al. 2017). Disturbed ecosystems benefit from the use of appropriate NPMs, which are those that display ecological fitness at the restoration site, are compatible with conspecifics and other members of the plant community, and that do not demonstrate invasive tendencies (Jones 2013). Furthermore, the use of appropriate NPMs can help address specific environmental challenges, rejuvenate ecosystem function, and improve the delivery of ecosystem services (Hughes 2008). While many NPMs have been developed for restoration (e.g., Aubry et al. 2005), there is interest in broadening the diversity of species available and the geographic representation of sources to provide appropriate choices in relation to the characteristics of any restoration site. In addition, researchers are providing guidance to managers and practitioners regarding how best to transfer NPMs across the landscape. For example, guidance on seed transfer has been derived from genecological studies, which utilize common gardens to correlate phenotypic variation to environmental gradients (summarized in Kilkenny 2015), molecular studies, which identify putative adaptive genetic loci and infer environmental drivers of variation (Shryock et al. 2017), and climate modeling studies, which can provide guidance when species-specific data are unavailable (Bower et al. 2014; Doherty et al. 2017). All of these approaches intend to improve the long-term viability of NPMs at restoration sites, thereby improving outcomes and stretching limiting restoration resources (e.g., time and money).","language":"English","publisher":"Bureau of Land Management","usgsCitation":"Massatti, R., 2019, Genetically-informed seed transfer zones for Pleuraphis jamesii, Sphaeralcea parvifolia, and Sporobolus cryptandrus across the Colorado Plateau and adjacent regions, 11 p.","productDescription":"11 p.","ipdsId":"IP-113144","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":372440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":372412,"type":{"id":15,"text":"Index Page"},"url":"https://www.blm.gov/sites/blm.gov/files/GWRC_STZ_report1.pdf"}],"country":"United States","otherGeospatial":"Colorado Plateau ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.42138671875,\n              39.57182223734374\n            ],\n            [\n              -118.23486328125,\n              36.65079252503471\n            ],\n            [\n              -111.7529296875,\n              33.76088200086917\n            ],\n            [\n              -107.1826171875,\n              33.137551192346145\n            ],\n            [\n              -104.0185546875,\n              33.284619968887675\n            ],\n            [\n              -104.7216796875,\n              39.027718840211605\n            ],\n            [\n              -107.70996093749999,\n              40.111688665595956\n            ],\n            [\n              -111.4013671875,\n              41.77131167976407\n            ],\n            [\n              -114.5654296875,\n              42.52069952914966\n            ],\n            [\n              -117.2900390625,\n              42.06560675405716\n            ],\n            [\n              -118.87207031250001,\n              40.84706035607122\n            ],\n            [\n              -119.42138671875,\n              39.57182223734374\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Massatti, Robert 0000-0001-5854-5597","orcid":"https://orcid.org/0000-0001-5854-5597","contributorId":207294,"corporation":false,"usgs":true,"family":"Massatti","given":"Robert","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":782587,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70208336,"text":"70208336 - 2019 - Quantifying changes to infaunal communities associated with several deep-sea coral habitats in the Gulf of Mexico and their potential recovery from the DWH oil spill","interactions":[],"lastModifiedDate":"2020-02-05T06:50:04","indexId":"70208336","displayToPublicDate":"2019-12-31T06:46:56","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Quantifying changes to infaunal communities associated with several deep-sea coral habitats in the Gulf of Mexico and their potential recovery from the DWH oil spill","docAbstract":"Extensive information is available about infaunal soft-sediment communities in the Gulf of Mexico (Gulf) (Pequegnat et al. 1990, Rowe and Kennicutt II 2009, Wei et al. 2010), particularly from the large-scale sampling effort of the Deep Gulf of Mexico Benthos (DGOMB) project in the early 2000s (Rowe and Kennicutt II 2009). Infaunal soft-sediment communities in the northern Gulf differ by geographic location and depth (Rowe and Kennicutt II 2009, Wei et al. 2010). Density decreases with depth, while taxa diversity exhibits a mid-depth (1,100-1,300 m) maximum (Rowe and Kennicutt II 2009). Community composition is influenced by both geographic location and depth, with zones (as defined by Wei et al. 2010) encompassing specific depth ranges, ranging from 635 to 3,314 m, and separated into east and west components. These zones were correlated to detrital particulate organic carbon (POC) export flux, primarily from the Mississippi River (Wei et al. 2010), where POC flux decreases with depth (Biggs et al. 2008). The flux of POC has also been found to be higher in the northeast Gulf than the northwest (Biggs et al. 2008), and consequently, biomass of infaunal communities is positively correlated with sedimentorganic carbon content (Morse and Beazley 2008).\n\nMost of the deep Gulf is composed of soft-sediment environments, but the relative flat seafloor is\npunctuated in areas with other heterogeneous habitats, including chemosynthetic environments and deepsea coral habitats. Deep-sea corals create a complex three-dimensional structure that enhances local biodiversity, supporting diverse and abundant fish and invertebrate communities (Mortensen et al. 1995, Costello et al. 2005, Henry and Roberts 2007, Ross and Quattrini 2007, Buhl-Mortensen et al. 2010). In recent years, knowledge of the sphere of influence of deep-sea corals has expanded, with evidence that coral habitats also influence surrounding sediments (Mienis et al. 2012, Demopoulos et al. 2014, Fisher et al. 2014, Demopoulos et al. 2016, Bourque and Demopoulos 2018). Deep-sea corals are capable of altering their associated biotic and abiotic environment, thus serving as ecosystem engineers (e.g., Jones et al. 1994). The depositional environment and associated hydrodynamic regime around coral habitats differ from the extensive expanses of soft-sediments that dominate the sea floor (e.g., Mienis et al. 2009a. 2009a, Mienis et al. 2009b, Mienis et al. 2012), with the three-dimensional structure of the coral causing turbulent flows that enhance sediment accumulation adjacent to coral structures. In the northern Gulf, deep-sea corals generally occur on mounds of authigenic carbonate (Schroeder 2002) where elevation above the benthic boundary layer into higher velocity laminar flows allows for increased availability of food resources (Buhl-Mortensen and Mortensen 2005). The different hydrodynamics around corals likely affects the sediment geochemistry and in turn infaunal community structure and function (Demopoulos et al. 2014).\n\nEcosystem-based research on Gulf infaunal communities has primarily focused on soft-sediment\nenvironments. Initial research on deep-sea coral-associated infaunal communities focused on Lophelia pertusa (e.g., Demopoulos et al. 2014), and more recent studies focused on octocorals (Fisher et al. 2014, Demopoulos et al. 2016, Bourque and Demopoulos 2018) and comparisons among coral habitat types (Bourque and Demopoulos 2018). Coral-adjacent sediment communities are distinctly different from nearby background soft-sediment (Demopoulos et al. 2014, Bourque and Demopoulos 2018), with a sphere of influence estimated to be between 14 and 100 m (Demopoulos et al. 2014, Bourque and Demopoulos 2018). The coral type (e.g., L. pertusa, Madrepora oculata, octocorals) also influences sediment communities, with L. pertusa habitats distinct from both M. oculata and octocoral habitats (Bourque and Demopoulos 2018). Differences among coral communities are influenced by depth,","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"OCS Study BOEM 2019-033","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Bureau of Ocean Energy Management","usgsCitation":"Bourque, J.R., and Demopoulos, A.W., 2019, Quantifying changes to infaunal communities associated with several deep-sea coral habitats in the Gulf of Mexico and their potential recovery from the DWH oil spill, iv, 35 p.","productDescription":"iv, 35 p.","ipdsId":"IP-099020","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":372049,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":372020,"type":{"id":15,"text":"Index Page"},"url":"https://espis.boem.gov/final%20reports/BOEM_2019-033.pdf"}],"country":"United States, Mexico","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.595703125,\n              25.48295117535531\n            ],\n            [\n              -82.529296875,\n              29.916852233070173\n            ],\n            [\n              -84.90234375,\n              30.826780904779774\n            ],\n            [\n              -89.47265625,\n              31.052933985705163\n            ],\n            [\n              -93.33984375,\n              30.44867367928756\n            ],\n            [\n              -97.470703125,\n              28.92163128242129\n            ],\n            [\n              -99.052734375,\n              25.562265014427492\n            ],\n            [\n              -97.55859375,\n              21.453068633086783\n            ],\n            [\n              -96.240234375,\n              18.646245142670608\n            ],\n            [\n              -91.58203125,\n              17.644022027872726\n            ],\n            [\n              -89.82421875,\n              19.642587534013032\n            ],\n            [\n              -86.220703125,\n              22.268764039073968\n            ],\n            [\n              -80.595703125,\n              25.48295117535531\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bourque, Jill R. 0000-0003-3809-2601 jbourque@usgs.gov","orcid":"https://orcid.org/0000-0003-3809-2601","contributorId":5452,"corporation":false,"usgs":true,"family":"Bourque","given":"Jill","email":"jbourque@usgs.gov","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":781504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694 ademopoulos@usgs.gov","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":145681,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","email":"ademopoulos@usgs.gov","middleInitial":"W.J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":781505,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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href=\"https://www.usgs.gov/centers/asc/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/connect\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/asc/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/\">Alaska Science Center</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>4210 University Drive<br>Anchorage, Alaska 99508</p>","tableOfContents":"<ul><li>Director’s Message</li><li>Alaska Organizational Overview</li><li>Structure of Report</li><li>Icon Legend</li><li>Project Descriptions</li><li>Acronyms</li><li>Active Research Partners</li></ul><p><br></p>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-12-30","noUsgsAuthors":false,"publicationDate":"2019-12-30","publicationStatus":"PW","contributors":{"editors":[{"text":"Williams, Dee 0000-0003-0400-479X","orcid":"https://orcid.org/0000-0003-0400-479X","contributorId":221172,"corporation":false,"usgs":true,"family":"Williams","given":"Dee","email":"","affiliations":[{"id":113,"text":"Alaska Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":778662,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Powers, Elizabeth 0000-0002-4688-1195","orcid":"https://orcid.org/0000-0002-4688-1195","contributorId":221171,"corporation":false,"usgs":true,"family":"Powers","given":"Elizabeth","email":"","affiliations":[{"id":113,"text":"Alaska Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":778663,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}}
,{"id":70207363,"text":"ofr20191146 - 2019 - National assessment of shoreline change — Historical shoreline change along the north coast of Alaska, Icy Cape to Cape Prince of Wales","interactions":[],"lastModifiedDate":"2022-04-21T20:19:46.880847","indexId":"ofr20191146","displayToPublicDate":"2019-12-30T15:54:44","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1146","displayTitle":"National Assessment of Shoreline Change — Historical Shoreline Change Along the North Coast of Alaska, Icy Cape to Cape Prince of Wales","title":"National assessment of shoreline change — Historical shoreline change along the north coast of Alaska, Icy Cape to Cape Prince of Wales","docAbstract":"<p>Beach erosion is a persistent problem along most open-ocean shores of the United States. Along the Arctic coast of Alaska, coastal erosion is widespread and threatens communities, defense and energy-related infrastructure, and coastal habitat. As coastal populations continue to expand and infrastructure and habitat are increasingly threatened by erosion, there is increased demand for accurate information regarding past and present trends and rates of shoreline movement.</p><p>Shoreline change was evaluated by comparing three to four historical shoreline positions derived from 1950s-era topographic surveys and black and white aerial photography, 1980s-era color-infrared Alaska High-Altitude Aerial Photography, 2003 natural color aerial photography, and 2010s-era natural color aerial photography. Long-term (1950s–2010s) and short-term (1980s–2010s) shoreline change rates were calculated using linear-regression and end-point methods, respectively, at transects spaced approximately every 50 meters along both the mainland and barrier island coasts.</p><p>Shoreline change rates calculated on more than 24,000 individual transects indicate that between 1948 and 2016 the northern coast of Alaska between Icy Cape and Cape Prince of Wales was slightly erosional, with 68 percent of the total transects showing shoreline retreat over the long term and 63 percent over the short term. However, only 9 percent of the total transects showed shoreline retreat greater than 1 meter per year (m/yr) over the long and short term, respectively. Mean rates of shoreline change of −0.2±0.1 and −0.2±0.3 m/yr, were calculated for the long and short term, respectively. Many rates measured were near the limit of our shoreline change uncertainty estimates. Erosion and accretion rates on individual transects ranged from −8.3 to +9.6 m/yr over the long term and −16.0 to +20.0 m/yr over the short-term analysis periods. The highest rates of erosion and accretion were associated with the formation and migration of inlets along barrier island coasts. The highest erosional rates of change were measured in the southern part of the study area between Sullivan Lake and Cape Prince of Wales. The highest accretional rates of change were measured in the northern part of the study area on the open-ocean coast of barrier islands fronting Kasegaluk Lagoon.</p><p>Open-ocean exposed shorelines compose 85 percent of all transects and 70 percent were erosional over the long term. Sheltered mainland-lagoon shorelines compose 15 percent of all transects in the study area and 58 percent were erosional over the long term. Although mean shoreline change rates were quite low along all coasts, exposed shorelines retreated at twice the rate (−0.2±0.1 m/yr) of sheltered shorelines (−0.1±0.1 m/yr). Barrier shoreline transects (includes barrier islands, spits, and beaches) compose 49 percent of the total transects and 56 percent of all exposed shoreline transects. Mean shoreline change rates on exposed barrier shorelines were only slightly greater than exposed mainland shorelines (−0.3±0.1 and −0.2±0.1 m/yr, respectively). Mean shoreline change rates on sheltered barrier shorelines were similar to sheltered mainland shorelines (−0.1±0.3 m/yr).</p><p>In contrast to the majority of the Nation’s shorelines, for all but three months of the year (July–September), the north coast of Alaska has historically been protected by landfast sea ice from processes such as waves, winds, and currents that typically drive coastal change on beaches in more temperate regions of the world. Projected and observed increases in periods of sea-ice-free conditions, as sea ice melts earlier and forms later in the year, particularly in the autumn, when large storms are more common in the Arctic, suggest that Arctic coasts will be more vulnerable to storm surge and wave energy, potentially resulting in accelerated shoreline erosion and terrestrial habitat loss in the future. Increases in air and sea water temperatures may also increase erosion of the ice-rich, coastal permafrost bluffs present along much of Alaska’s Arctic coast. More frequent shoreline change data collection and analysis in this rapidly changing environment should be considered in order to evaluate shoreline change trends in the future.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191146","usgsCitation":"Gibbs, A.E., Snyder, A.G., and Richmond, B.M., 2019, National assessment of shoreline change — Historical shoreline change along the north coast of Alaska, Icy Cape to Cape Prince of Wales: U.S. Geological Survey Open-File Report 2019–1146, 52 p., https://doi.org/10.3133/ofr20191146.","productDescription":"Report: vi, 52 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-111408","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":399433,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109572.htm"},{"id":370888,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1146/coverthb.jpg"},{"id":370889,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1146/ofr20191146.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1146"},{"id":370890,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H1S1PV","linkHelpText":"National assessment of shoreline change—A GIS compilation of updated vector shorelines and associated shoreline change data for the north coast of Alaska, Icy Cape to Cape Prince of Wales"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -168.1194,\n              65.5739\n            ],\n            [\n              -160.9839,\n              65.5739\n            ],\n            [\n              -160.9839,\n              70.3322\n            ],\n            [\n              -168.1194,\n              70.3322\n            ],\n            [\n              -168.1194,\n              65.5739\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"http://walrus.wr.usgs.gov/infobank/programs/html/staff2html/staff.html\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"http://walrus.wr.usgs.gov/infobank/programs/html/staff2html/staff.html\">Contact Information</a><br><a href=\"https://walrus.wr.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://walrus.wr.usgs.gov/\">Pacific Coastal &amp; Marine Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>Pacific Science Center<br>2885 Mission St.<br>Santa Cruz, CA 95060</p>","tableOfContents":"<p></p><ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Previous National and Northwestern Alaska Shoreline Assessments</li><li>Methods of Analyzing Shoreline Change</li><li>Calculation and Interpretation of Shoreline Change Rates</li><li>Results from Analysis of Historical Shoreline Change</li><li>Discussion and Additional Considerations</li><li>References Cited</li></ul><p></p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-12-30","noUsgsAuthors":false,"publicationDate":"2019-12-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":777820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snyder, Alexander G. 0000-0001-6250-4827 agsnyder@usgs.gov","orcid":"https://orcid.org/0000-0001-6250-4827","contributorId":171654,"corporation":false,"usgs":true,"family":"Snyder","given":"Alexander","email":"agsnyder@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":777821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":777822,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70206261,"text":"sir20195110 - 2019 - Streambed scour evaluations and conditions at selected bridge sites in Alaska, 2016–17","interactions":[],"lastModifiedDate":"2023-04-13T10:56:36.045601","indexId":"sir20195110","displayToPublicDate":"2019-12-30T15:47:16","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5110","displayTitle":"Streambed Scour Evaluations and Conditions at Selected Bridge Sites in Alaska, 2016–17","title":"Streambed scour evaluations and conditions at selected bridge sites in Alaska, 2016–17","docAbstract":"<p>Stream stability, flood frequency, and streambed scour potential were evaluated at 20 Alaskan river- and stream-spanning bridges lacking a quantitative scour analysis or having unknown foundation details. Three of the bridges had been assessed shortly before the study described in this report but were re-assessed using different methods or data. Channel instability related to mining may affect scour at one site, while channel instability related to flow distribution changes can be seen at one site. One bridge was closed because of abutment scour prior to the study. Otherwise, channels generally showed stable bed elevations.</p><p>Contraction and abutment scour were calculated for all 20 bridges, and pier scour was calculated for the 2 bridges that had piers. Vertical contraction (pressure flow) scour was calculated for one site at which the modeled water surface was higher than the superstructure of the bridge. Hydraulic variables for the scour calculations were derived from one-dimensional and two-dimensional hydraulic models of the 1- and 0.2-percent annual exceedance probability floods (also known as the 100- and 500-year floods, respectively). Scour also was calculated for large recorded floods at two sites.</p><p>At many sites, overflow of road approaches relieves the bridge during floods and lessens the potential for scour. Two-dimensional hydraulic models are superior to one-dimensional hydraulic models at distributing flow between bridges, road approaches, and floodplains, and therefore likely produce more reasonable scour values at sites with substantial floodplain flow.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195110","collaboration":"Prepared in cooperation with the Alaska Department of Transportation and Public Facilities","usgsCitation":"Beebee, R.A., Dworsky, K.L., and Knopp, S.J., 2019, Streambed scour evaluations and conditions at selected bridge Sites in Alaska, 2016–17 (version 1.1, April 2023): U.S. Geological Survey Scientific Investigations Report 2019-5110, 32 p., https://doi.org/10.3133/sir20195110.","productDescription":"Report: vi, 32 p.; Data Release","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-099321","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":399597,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109571.htm"},{"id":370872,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5110/coverthb2.jpg"},{"id":370873,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5110/sir20195110.pdf","text":"Report","size":"2.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5110"},{"id":415671,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2019/5110/sir20195110_RevisionHistory.txt","description":"SIR 2019-5110 Version History"},{"id":370874,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LUTFHZ","linkHelpText":"Tabular input/output data and model files for 19 hydraulic models for streambed scour evaluations at selected bridge sites, Alaska, 2016–17"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.41259765625,\n              59.01794033995248\n            ],\n            [\n              -144.77783203125,\n              59.01794033995248\n            ],\n            [\n              -144.77783203125,\n              64.97006438589436\n            ],\n            [\n              -155.41259765625,\n              64.97006438589436\n            ],\n            [\n              -155.41259765625,\n              59.01794033995248\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.1: April 2023; Version 1.0: December 2019","contact":"<p><a href=\"https://www.usgs.gov/centers/asc/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/connect\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/asc/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/\">Alaska Science Center</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>4210 University Drive<br>Anchorage, Alaska 99508</p>","tableOfContents":"<p></p><ul><li>Abstract</li><li>Introduction</li><li>Study Approach</li><li>Stream Stability and Geomorphic Assessment</li><li>Flood History and Frequency Analysis</li><li>Hydraulic Model Development</li><li>Stream Bathymetry, Topography, and Bridge Geometry Surveys</li><li>Discharge Measurements for Calibration</li><li>Grain-Size Analysis</li><li>Hydraulic Model Development</li><li>Scour Calculations</li><li>Comparisons of Results for Bridges with Both One-Dimensional and Two-Dimensional Models</li><li>Summary and Conclusions</li><li>Acknowledgments</li><li>References Cited</li><li>Glossary</li><li>Appendix 1. Stream Stability Cross Sections</li></ul><p></p>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-12-30","revisedDate":"2023-04-12","noUsgsAuthors":false,"publicationDate":"2019-12-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Beebee, Robin A. 0000-0002-2976-7294 rbeebee@usgs.gov","orcid":"https://orcid.org/0000-0002-2976-7294","contributorId":5778,"corporation":false,"usgs":true,"family":"Beebee","given":"Robin","email":"rbeebee@usgs.gov","middleInitial":"A.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":773964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dworsky, Karenth L. 0000-0002-3287-6934 kdworsky@usgs.gov","orcid":"https://orcid.org/0000-0002-3287-6934","contributorId":200851,"corporation":false,"usgs":true,"family":"Dworsky","given":"Karenth","email":"kdworsky@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":false,"id":773965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knopp, Schyler J. 0000-0002-3750-1373 sknopp@usgs.gov","orcid":"https://orcid.org/0000-0002-3750-1373","contributorId":200852,"corporation":false,"usgs":true,"family":"Knopp","given":"Schyler","email":"sknopp@usgs.gov","middleInitial":"J.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":false,"id":773966,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70207149,"text":"ofr20191138 - 2019 - DNA fingerprinting of Southern Mule Deer (Odocoileus hemionus fuliginatus) in North San Diego County, California (2018-19)","interactions":[],"lastModifiedDate":"2019-12-31T09:15:01","indexId":"ofr20191138","displayToPublicDate":"2019-12-30T15:43:40","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1138","displayTitle":"DNA Fingerprinting of Southern Mule Deer (<i>Odocoileus hemionus fuliginatus</i>) in North San Diego County, California (2018–19)","title":"DNA fingerprinting of Southern Mule Deer (Odocoileus hemionus fuliginatus) in North San Diego County, California (2018-19)","docAbstract":"<p>Throughout the western United States, efforts are underway to better understand and preserve migration and movement corridors for mule deer and other big game and to minimize the impacts of development and other land-use change on populations. San Diego County is home to a unique non-migratory subspecies of mule deer, the Southern mule deer (<i>Odocoileus hemionus fuliginatus</i>; herein referred to as “mule deer”). Because it is the only large herbivorous mammal in San Diego, connectivity among mule deer groups is an important indicator of functional connectivity throughout San Diego County urban preserves and has therefore been monitored within central and eastern San Diego County using DNA fingerprinting since 2005. To continue this effort and to assess genetic connectivity in north San Diego County (herein “North County”), we genotyped scat samples from preserves in the area and tissue samples from Marine Corps Base Camp Pendleton (MCBCP). We used non-invasive capture/recapture analyses and pedigree analyses for assessing short-term movement and population clustering analyses to assess gene flow in North County. Additionally, we performed similar analyses on the combined San Diego County dataset, which was composed of the North County dataset collected for this study and a previously collected dataset from central and eastern San Diego County. Using recapture data, we found multiple instances of mule deer crossing roads in urban North County preserves, with several of these events occurring in areas where there are underpasses and culverts known to be used by mule deer. Corroborating previous studies in the region and statewide, pedigree and population structure analyses support the presence of two genetic clusters for mule deer in San Diego County—the “Coastal” and “Inland/Mountain” clusters. Low estimates of effective population size, especially in the Coastal cluster, suggest that to further understand potential vulnerabilities of mule deer in this region, it is important to continue to monitor connectivity, in particular, at the boundary between these two clusters.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191138","usgsCitation":"Mitelberg, A., Smith, J.G., and Vandergast, A.G., 2019, DNA Fingerprinting of Southern mule deer (<i>Odocoileus hemionus fuliginatus</i>) in north San Diego County, California (2018–19): U.S. Geological Survey Open-File Report 2019–1138, 25 p., https://doi.org/10.3133/ofr20191138.","productDescription":"vi, 25 p.","numberOfPages":"25","onlineOnly":"Y","ipdsId":"IP-112707","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":437245,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YXWXA9","text":"USGS data release","linkHelpText":"Microsatellite Genetic Marker Genotypes from Southern Mule Deer (Odocoileus hemionus fuliginatus) Sampled in San Diego County, California"},{"id":370869,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1138/ofr20191138.pdf","text":"Report","size":"31 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":370868,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1138/coverthb.jpg"}],"country":"United States","state":"California","county":"San Diego County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.31201171875001,\n              32.713355353177555\n            ],\n            [\n              -116.05957031249999,\n              32.713355353177555\n            ],\n            [\n              -116.05957031249999,\n              33.25706340236547\n            ],\n            [\n              -117.31201171875001,\n              33.25706340236547\n            ],\n            [\n              -117.31201171875001,\n              32.713355353177555\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/werc/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc/connect\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<p></p><ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>References Cited</li><li>Appendix 1</li></ul><p></p>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-12-30","noUsgsAuthors":false,"publicationDate":"2019-12-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Mitelberg, Anna 0000-0002-3309-9946 amitelberg@usgs.gov","orcid":"https://orcid.org/0000-0002-3309-9946","contributorId":218945,"corporation":false,"usgs":true,"family":"Mitelberg","given":"Anna","email":"amitelberg@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":776977,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Julia G. 0000-0001-9841-1809","orcid":"https://orcid.org/0000-0001-9841-1809","contributorId":221086,"corporation":false,"usgs":true,"family":"Smith","given":"Julia","email":"","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":776978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":776976,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70207221,"text":"ofr20191108 - 2019 - Economic effects of wildfire risk reduction and source water protection projects in the Rio Grande River Basin in northern New Mexico and southern Colorado","interactions":[],"lastModifiedDate":"2022-04-21T18:50:28.74984","indexId":"ofr20191108","displayToPublicDate":"2019-12-30T11:15:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1108","displayTitle":"Economic Effects of Wildfire Risk Reduction and Source Water Protection Projects in the Rio Grande River Basin in Northern New Mexico and Southern Colorado","title":"Economic effects of wildfire risk reduction and source water protection projects in the Rio Grande River Basin in northern New Mexico and southern Colorado","docAbstract":"<p>Investments in landscape-scale restoration and fuels management projects can protect publicly managed trusts, enhance public health and safety, and help to preserve the many environmental goods and services enjoyed by the public. These investments can also support jobs and generate business sales activities within nearby local economies. This report investigates how investments made by the Rio Grande Water Fund (RGWF) on wildfire risk reduction and source water protection projects in northern New Mexico and southern Colorado affect local economic activity. To implement these projects, the RGWF spent a total of <span>$</span>855,000 in 2018 on contractors located in the Western States regional economy. Including direct and secondary effects, these expenditures supported an estimated 22 jobs, <span>$</span>1,089,000 in labor income, <span>$</span>1,324,000 in value added, and <span>$</span>1,907,000 in economic output in the 17 Western States economy. The majority (73 percent or <span>$</span>623,000) of these expenditures were made by hiring local businesses operating within a 13-county region in northern New Mexico and southern Colorado that comprises the RGWF project area. Including direct and secondary effects, local expenditures support an estimate 15 jobs, <span>$</span>676,000 in labor income, <span>$</span>791,000 in value added, and <span>$</span>1,120,000 in economic output within the 13-county RGWF project area. These results demonstrate how investments in wildfire risk reduction and source water protection projects can support jobs and livelihoods, small businesses, and rural economies in the Mountain West.</p>","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191108","collaboration":"Prepared in cooperation with The Nature Conservancy","usgsCitation":"Huber, C., Cullinane Thomas, C., Meldrum, J.R., Meier, R., and Bassett, S., 2019, Economic effects of wildfire risk reduction and source water protection projects in the Rio Grande River Basin in northern New Mexico and southern Colorado: U.S. Geological Survey Open-File Report 2019–1108, 8 p., https://doi.org/10.3133/ofr20191108.","productDescription":"iv, 8 p.","onlineOnly":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":399416,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109581.htm"},{"id":370215,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1108/ofr20191108.pdf","text":"Report","size":"7.71 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1108"},{"id":370214,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1108/coverthb.jpg"}],"country":"United States","state":"Colorado, New Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.6408,\n              34.2403\n            ],\n            [\n              -103.6667,\n              34.2403\n            ],\n            [\n              -103.6667,\n              37.3417\n            ],\n            [\n              -107.6408,\n              37.3417\n            ],\n            [\n              -107.6408,\n              34.2403\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director,&nbsp;<a href=\"https://www.usgs.gov/fort/\" data-mce-href=\"https://www.usgs.gov/fort/\">Fort Collins Science Center</a><br>U.S. Geological Survey<br>2150 Centre Ave., Building C<br>Fort Collins, CO 80526-8118</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Results</li><li>Conclusions</li><li>References Cited</li></ul>","publishedDate":"2019-12-30","noUsgsAuthors":false,"publicationDate":"2019-12-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Huber, Christopher 0000-0001-8446-8134 chuber@usgs.gov","orcid":"https://orcid.org/0000-0001-8446-8134","contributorId":127600,"corporation":false,"usgs":true,"family":"Huber","given":"Christopher","email":"chuber@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":777333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cullinane Thomas, Catherine 0000-0001-8168-1271 ccullinanethomas@usgs.gov","orcid":"https://orcid.org/0000-0001-8168-1271","contributorId":141097,"corporation":false,"usgs":true,"family":"Cullinane Thomas","given":"Catherine","email":"ccullinanethomas@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":777334,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":777335,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meier, Rachel","contributorId":221199,"corporation":false,"usgs":false,"family":"Meier","given":"Rachel","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":777336,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bassett, Steven 0000-0002-3826-3960","orcid":"https://orcid.org/0000-0002-3826-3960","contributorId":221200,"corporation":false,"usgs":false,"family":"Bassett","given":"Steven","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":778675,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203456,"text":"sir20195001 - 2019 - Severity and extent of alterations to natural streamflow regimes based on hydrologic metrics in the conterminous United States, 1980–2014","interactions":[],"lastModifiedDate":"2022-04-22T21:11:02.782667","indexId":"sir20195001","displayToPublicDate":"2019-12-30T07:30:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5001","displayTitle":"Severity and Extent of Alterations to Natural Streamflow Regimes Based on Hydrologic Metrics in the Conterminous United States, 1980-2014","title":"Severity and extent of alterations to natural streamflow regimes based on hydrologic metrics in the conterminous United States, 1980–2014","docAbstract":"Alteration of the natural streamflow regime by land and water management, such as land-cover change and dams, is associated with aquatic ecosystem degradation. The severity and geographic extent of streamflow alteration at regional and national scales, however, remain largely unquantified. The primary goal of this study is to characterize the severity and extent of alterations to natural streamflow regimes for 1980–2014 based on hydrologic metrics at 3,355 U.S. Geological Survey streamgages in the conterminous United States. Twelve hydrologic metrics with known relevance to aquatic ecosystem health were used to characterize the streamflow regime. Alterations to the 12 hydrologic metrics were quantified by taking ratios of the metrics calculated from observed daily streamflow records divided by the same metrics predicted for natural conditions by random forest statistical models. Some level of streamflow alteration (diminishment or inflation of hydrologic metrics) compared to natural conditions was indicated at about 80 percent of the assessed streamgages across the conterminous United States. The severity of alteration differed among ecoregions because of differences in dominant land and water management practices. Finally, when compared over the period 1980–2014, climate variability generally played a minor role in the alteration of streamflows across the United States when compared to the effects of land and water management.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195001","usgsCitation":"Eng, K., Carlisle, D.M., Grantham, T.E., Wolock, D.M., and Eng, R.L., 2019, Severity and extent of alterations to natural streamflow regimes based on hydrologic metrics in the conterminous United States, 1980–2014: U.S. Geological Survey Scientific Investigations Report 2019–5001, 25 p., https://doi.org/10.3133/sir20195001.","productDescription":"Report: iv, 25 p.; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-099228","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":370492,"rank":4,"type":{"id":22,"text":"Related 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-102.216796875,\n              29.22889003019423\n            ],\n            [\n              -97.55859375,\n              25.48295117535531\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Chief, <a href=\"mailto: gs_b17c@usgs.gov\" data-mce-href=\"mailto: gs_b17c@usgs.gov\">Analysis and Prediction Branch</a><br>Integrated Modeling and Prediction Division<br>Water Resources Mission Area<br>U.S. Geological Survey, Mail Stop 415<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Severity and Extent of Alterations to Natural Streamflow Regimes</li><li>Synthesis of Alterations to Natural Streamflow Regimes</li><li>Summary</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-12-26","noUsgsAuthors":false,"publicationDate":"2019-12-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":762759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":762760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grantham, Theodore E.","contributorId":198855,"corporation":false,"usgs":false,"family":"Grantham","given":"Theodore E.","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":762761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":762762,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eng, Rosaly L.","contributorId":215594,"corporation":false,"usgs":false,"family":"Eng","given":"Rosaly","email":"","middleInitial":"L.","affiliations":[{"id":39290,"text":"Oakton High School, VA","active":true,"usgs":false}],"preferred":false,"id":762763,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70211341,"text":"70211341 - 2019 - Post-collapse gravity increase at the summit of Kīlauea Volcano, Hawaiʻi","interactions":[],"lastModifiedDate":"2020-07-27T15:04:13.162493","indexId":"70211341","displayToPublicDate":"2019-12-28T10:01:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Post-collapse gravity increase at the summit of Kīlauea Volcano, Hawaiʻi","docAbstract":"We conducted gravity surveys of the summit area of Kīlauea Volcano, Hawaiʻi, in November 2018 and March 2019, with the goal of determining whether there was any mass change at depth following the volcano's May–August 2018 caldera collapse. Surface deformation between the two surveys was minimal, but we measured a gravity increase (maximum 44 μGal) centered on the caldera that can be modeled as mass accumulation in a region ~1 km beneath the surface. We interpret this mass increase to be mostly magma accumulation in void space that was created during the summit collapse. Caldera uplift was evident by April 2019, indicating that the magma volume had reached a point where pressurization could be sustained. Modeled gravity change suggests a maximum magma storage rate at Kīlauea's summit during November 2018 to March 2019 that is much less than the pre‐2018 magma supply rate to the volcano.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GL084901","usgsCitation":"Poland, M.P., de Zeeuw-van Dalfsen, E., Bagnardi, M., and Johanson, I.A., 2019, Post-collapse gravity increase at the summit of Kīlauea Volcano, Hawaiʻi: Geophysical Research Letters, v. 46, no. 24, p. 14430-14439, https://doi.org/10.1029/2019GL084901.","productDescription":"10 p.","startPage":"14430","endPage":"14439","ipdsId":"IP-111004","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":458882,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019gl084901","text":"Publisher Index Page"},{"id":376713,"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              -155.29483795166016,\n              19.39212483416422\n            ],\n            [\n              -155.23441314697266,\n              19.39212483416422\n            ],\n            [\n              -155.23441314697266,\n              19.44134189745716\n            ],\n            [\n              -155.29483795166016,\n              19.44134189745716\n            ],\n            [\n              -155.29483795166016,\n              19.39212483416422\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"24","noUsgsAuthors":false,"publicationDate":"2019-12-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":793925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Zeeuw-van Dalfsen, Elske 0000-0003-2527-4932","orcid":"https://orcid.org/0000-0003-2527-4932","contributorId":217967,"corporation":false,"usgs":false,"family":"de Zeeuw-van Dalfsen","given":"Elske","email":"","affiliations":[{"id":39727,"text":"KNMI","active":true,"usgs":false}],"preferred":false,"id":793926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bagnardi, Marco","contributorId":124560,"corporation":false,"usgs":false,"family":"Bagnardi","given":"Marco","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":793927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johanson, Ingrid A. 0000-0002-6049-2225","orcid":"https://orcid.org/0000-0002-6049-2225","contributorId":215613,"corporation":false,"usgs":true,"family":"Johanson","given":"Ingrid","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":793928,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70209964,"text":"70209964 - 2019 - Catastrophic landscape modification from a massive landslide tsunami in Taan Fiord, Alaska","interactions":[],"lastModifiedDate":"2020-05-07T12:51:41.964537","indexId":"70209964","displayToPublicDate":"2019-12-28T07:40:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Catastrophic landscape modification from a massive landslide tsunami in Taan Fiord, Alaska","docAbstract":"The October 17th, 2015 Taan Fiord landslide and tsunami generated a runup of 193 m, nearly an order of magnitude greater than most previously surveyed tsunamis. To date, most post-tsunami surveys are from earthquake-generated tsunamis and the geomorphic signatures of landslide tsunamis or their potential for preservation are largely uncharacterized. Additionally, clear modifications described during previous post-tsunami surveys are often ephemeral and unlikely to be preserved. Documented geomorphic modifications of several low gradient fan deltas within Taan Fiord make it an excellent laboratory for characterizing signatures of a landslide tsunami event. Geomorphic changes to fan deltas in Taan Fiord caused by the landslide-generated tsunami included complete vegetation loss over more than 0.6 km2 of fan surfaces, formation of steep fan front scarps up to 10 m high, extensive local alterations of fan topography, and formation of new tsunami return-flow channels. Two relatively stable fan deltas in Taan Fiord were heavily vegetated prior to the Taan event and may preserve features of tsunami modification for decades to centuries. If this is the case, fan deltas may be a previously unrecognized location for preservation of tsunami signatures in the recent past. Fans in poorly monitored regions, such as Greenland, could thus hold evidence of previously unidentified recent landslide tsunami events.","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2019.107029","collaboration":"","usgsCitation":"Bloom, C.K., MacInnes, B., Higman, B., Shugar, D., Venditti, J., Richmond, B.M., and Bilderback, E.L., 2019, Catastrophic landscape modification from a massive landslide tsunami in Taan Fiord, Alaska: Geomorphology, v. 353, 107029, 12 p., https://doi.org/10.1016/j.geomorph.2019.107029.","productDescription":"107029, 12 p.","ipdsId":"IP-109761","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":374532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Taan Fiord","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -141.74560546874997,\n              59.833775202184206\n            ],\n            [\n              -141.064453125,\n              59.833775202184206\n            ],\n            [\n              -141.064453125,\n              60.261617082844616\n            ],\n            [\n              -141.74560546874997,\n              60.261617082844616\n            ],\n            [\n              -141.74560546874997,\n              59.833775202184206\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"353","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bloom, Colin K","contributorId":224586,"corporation":false,"usgs":false,"family":"Bloom","given":"Colin","email":"","middleInitial":"K","affiliations":[{"id":40892,"text":"Central Washington University Dept. of Geological Sciences, Ellensburg, WA, USA","active":true,"usgs":false}],"preferred":false,"id":788608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"MacInnes, Breanyn","contributorId":192477,"corporation":false,"usgs":false,"family":"MacInnes","given":"Breanyn","email":"","affiliations":[],"preferred":false,"id":788609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Higman, Bretwood","contributorId":224587,"corporation":false,"usgs":false,"family":"Higman","given":"Bretwood","affiliations":[{"id":40893,"text":"Ground Truth Trekking, Seldovia, AK, USA","active":true,"usgs":false}],"preferred":false,"id":788610,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shugar, Dan H. 0000-0002-6279-8420","orcid":"https://orcid.org/0000-0002-6279-8420","contributorId":224588,"corporation":false,"usgs":false,"family":"Shugar","given":"Dan H.","affiliations":[{"id":40894,"text":"University of Calgary, Calgary, Alberta, Canada","active":true,"usgs":false}],"preferred":false,"id":788611,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Venditti, Jeremy G. 0000-0002-2876-4251","orcid":"https://orcid.org/0000-0002-2876-4251","contributorId":197757,"corporation":false,"usgs":false,"family":"Venditti","given":"Jeremy G.","affiliations":[],"preferred":false,"id":788612,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":788638,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bilderback, Eric L.","contributorId":224589,"corporation":false,"usgs":false,"family":"Bilderback","given":"Eric","email":"","middleInitial":"L.","affiliations":[{"id":40895,"text":"National Park Service, Geologic Resources Division, Denver, CO, USA","active":true,"usgs":false}],"preferred":false,"id":788614,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70209222,"text":"70209222 - 2019 - Some experiments in extreme-value statistical modeling of magnetic superstorm intensities","interactions":[],"lastModifiedDate":"2020-03-24T13:54:18","indexId":"70209222","displayToPublicDate":"2019-12-27T13:53:08","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Some experiments in extreme-value statistical modeling of magnetic superstorm intensities","docAbstract":"In support of projects for forecasting and mitigating the deleterious effects of extreme space-weather storms, an examination is made of the intensities of magnetic superstorms recorded in the Dst index time series (1957-2016). Modified peak-over-threshold and solar-cycle, block-maximum sampling of the Dst time series are performed to obtain compi-lations of storm-maximum −Dstm intensity values. Lognormal, upper-limit lognormal, generalized Pareto, and generalized extreme-value model distributions are fitted to the−Dstm data using a maximum-likelihood algorithm. All four candidate models provide good representations of the data. Comparisons of the statistical significance and good-ness of fits of the various models gives no clear indication as to which model is best. The statistical models are used to extrapolate to extreme-value intensities, such as would be expected (on average) to occur once per century. An upper-limit lognormal fit to peak-over-threshold −Dstm data above a superstorm threshold of 283 nT gives a 100-year ex-trapolated intensity of 542 nT and a 68% confidence interval (obtained by bootstrap re-sampling) of [466, 583] nT. An upper-limit lognormal fit to solar-cycle, block-maximum−DstBM data gives a 9-solar-cycle (approximately 100-year) extrapolated intensity of 553 nT. The Dst data are found to be insufficient for providing usefully accurate esti-mates of a statistically theoretical upper limit for magnetic storm intensity. Secular change in storm intensities is noted, as is a need for improved estimates of pre-1957 magnetic storm intensities.","language":"English","publisher":"Wiley","doi":"10.1029/2019SW002255","usgsCitation":"Love, J.J., 2019, Some experiments in extreme-value statistical modeling of magnetic superstorm intensities: Space Weather, v. 18, no. 1, e2019SW002255, https://doi.org/10.1029/2019SW002255.","productDescription":"e2019SW002255","ipdsId":"IP-113786","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":458884,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019sw002255","text":"Publisher Index Page"},{"id":373485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":785445,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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