{"pageNumber":"307","pageRowStart":"7650","pageSize":"25","recordCount":40783,"records":[{"id":70216115,"text":"70216115 - 2019 - Submergence responses of cool-season annual plants and potential for fish habitat","interactions":[],"lastModifiedDate":"2020-11-05T17:40:04.619213","indexId":"70216115","displayToPublicDate":"2019-11-05T11:30:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Submergence responses of cool-season annual plants and potential for fish habitat","docAbstract":"Unnatural water regimes of flood control reservoirs limit vegetation establishment in littoral zones and produce mudflats with low structural complexity insufficient for many juvenile fishes. One strategy to enhance habitat on mudflats is to sow cool-season plants to provide submerged structure when inundated. However, how long the structure of these plants persists following inundation has not been evaluated. To investigate the species-specific responses of cool-season plants to inundation, we submerged six cool-season plant species in outdoor flow-through tanks and monitored maximum height and density of plant structures over time. Time-to-event analyses and generalized linear models were used to characterize differences in structural persistence between species over time. Plantings degraded rapidly if inundated before plant maturity. However, mature plants of Marshall Ryegrass Lolium multiflorum and Triticale Triticosecale provided dense structure for periods long enough to provide refuge for juvenile fish. As Ryegrass degraded, stem density decreased producing wide gaps relative to Triticale which remained dense and complex. Differences in plant architecture may influence the quality of habitat and which fish species and age class utilize each planting. Our results indicate that cool-season grasses planted in mudflats can persist after inundation long enough to enhance seasonal fish habitat and differences in plant structural characteristics may allow managers more flexibility to target desirable fish species.","language":"English","doi":"10.1002/nafm.10359","usgsCitation":"Coppola, G., Miranda, L.E., Colvin, M., Hatcher, H., and Lashley, M., 2019, Submergence responses of cool-season annual plants and potential for fish habitat: North American Journal of Fisheries Management, v. 39, no. 6, p. 1269-1276, https://doi.org/10.1002/nafm.10359.","productDescription":"8 p.","startPage":"1269","endPage":"1276","ipdsId":"IP-107749","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":380200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-09-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Coppola, G","contributorId":244565,"corporation":false,"usgs":false,"family":"Coppola","given":"G","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":804174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":804175,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colvin, ME","contributorId":244566,"corporation":false,"usgs":false,"family":"Colvin","given":"ME","email":"","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":804176,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatcher, HR","contributorId":244567,"corporation":false,"usgs":false,"family":"Hatcher","given":"HR","email":"","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":804177,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lashley, Marcus A.","contributorId":187467,"corporation":false,"usgs":false,"family":"Lashley","given":"Marcus A.","affiliations":[],"preferred":false,"id":804178,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208614,"text":"70208614 - 2019 - Earthquakes, PAGER","interactions":[],"lastModifiedDate":"2020-02-21T06:56:40","indexId":"70208614","displayToPublicDate":"2019-11-05T06:55:42","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Earthquakes, PAGER","docAbstract":"<p id=\"Par1\" class=\"Para\">PAGER, short for Prompt Assessment of Global Earthquakes for Response, is an automated system developed and run by the US Geological Survey (USGS) that produces information concerning the impact of significant earthquakes around the world within approximately 20 min of any magnitude 5.5 or larger event. PAGER rapidly assesses earthquake impacts by combining populations exposed to estimates of shaking intensity with models of economic and fatality losses based on past earthquakes in each country or region of the world. The main purpose of the PAGER system is to inform emergency responders, government and aid agencies, and the media regarding the scope of the potential disaster. Earthquake alerts – which were formerly sent based on event magnitude and location or population exposure to shaking – are generated based on the estimated range of fatalities and/or economic losses.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Solid Earth Geophysics","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-10475-7_183-1","usgsCitation":"Wald, D.J., Jaiswal, K.S., Marano, K., and Hearne, M., 2019, Earthquakes, PAGER, chap. <i>of</i> Encyclopedia of Solid Earth Geophysics, https://doi.org/10.1007/978-3-030-10475-7_183-1.","ipdsId":"IP-109505","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":459255,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-030-10475-7_183-1","text":"Publisher Index Page"},{"id":372486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marano, Kristin 0000-0002-0420-2748 kmarano@usgs.gov","orcid":"https://orcid.org/0000-0002-0420-2748","contributorId":207906,"corporation":false,"usgs":true,"family":"Marano","given":"Kristin","email":"kmarano@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782733,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70216087,"text":"70216087 - 2019 - A statewide evaluation of Florida Bass genetic introgression in Tennessee","interactions":[],"lastModifiedDate":"2020-11-04T21:09:35.686976","indexId":"70216087","displayToPublicDate":"2019-11-04T14:57:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"A statewide evaluation of Florida Bass genetic introgression in Tennessee","docAbstract":"Largemouth Bass (Micropterus salmoides) are one of the most popular freshwater sport fish in the United States and managers in southeastern states have stocked the Florida Bass (M. s. floridanus) subspecies outside of its natural range to increase size structure of existing Largemouth Bass populations. In Tennessee, fisheries for Largemouth Bass are concentrated in reservoirs of the Cumberland and Tennessee River systems; however, Florida Bass stockings have to date been restricted to two reservoirs of the Tennessee River and have varied significantly in extent and duration. We quantified levels of genetic admixture between Florida Bass and Largemouth Bass using 38 species-diagnostic single nucleotide polymorphisms for 979 fish sampled from 14 reservoirs from the Cumberland and Tennessee River systems. We tested for differences in genetic admixture across river systems and evaluated the relative importance of fish stockings in explaining observed levels of genetic admixture. Levels of genetic admixture and associated variation was higher in reservoirs of the Tennessee River (range = 6.3 – 30.4 average percent Florida Bass alleles) relative to the Cumberland River (range = 5.7 – 13.4 %), but admixture was not solely related to stocking rates. The highest levels of Florida Bass introgression were detected in Chickamauga Reservoir, the most extensively stocked reservoir in the state. Linear models identified fish stocked as a significant overall predictor of admixture, but we also observed stocked and unstocked reservoirs with similar levels of admixture, suggesting factors other than stocking influence population genetics. Our statewide assessment of reservoir-level patterns of hybridization among black bass was performed prior to the recent expansion of Florida Bass stocking efforts in Tennessee, and thus, represents a baseline for evaluating future stocking.","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10295","usgsCitation":"Hargrove, J., Rogers, M.W., Kackmar, P., and Black, P., 2019, A statewide evaluation of Florida Bass genetic introgression in Tennessee: North American Journal of Fisheries Management, v. 39, no. 4, p. 637-651, https://doi.org/10.1002/nafm.10295.","productDescription":"16 p.","startPage":"637","endPage":"651","ipdsId":"IP-099890","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":380176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Tennessee River 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 \"}}]}","volume":"39","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-04-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Hargrove, John S.","contributorId":244463,"corporation":false,"usgs":false,"family":"Hargrove","given":"John S.","affiliations":[{"id":35244,"text":"Tennessee Technological University","active":true,"usgs":false}],"preferred":false,"id":804002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Mark W. 0000-0001-7205-5623 mwrogers@usgs.gov","orcid":"https://orcid.org/0000-0001-7205-5623","contributorId":4590,"corporation":false,"usgs":true,"family":"Rogers","given":"Mark","email":"mwrogers@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":804003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kackmar, P.T.","contributorId":244464,"corporation":false,"usgs":false,"family":"Kackmar","given":"P.T.","email":"","affiliations":[{"id":35244,"text":"Tennessee Technological University","active":true,"usgs":false}],"preferred":false,"id":804004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Black, P.","contributorId":52363,"corporation":false,"usgs":true,"family":"Black","given":"P.","email":"","affiliations":[],"preferred":false,"id":804005,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70216084,"text":"70216084 - 2019 - Changes in adult Chinook salmon (Oncorhynchus tshawytscha) survival within the lower Columbia River amid increasing pinniped abundance","interactions":[],"lastModifiedDate":"2020-11-04T20:36:49.418521","indexId":"70216084","displayToPublicDate":"2019-11-04T14:30:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6455,"text":"Canadian Journal Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Changes in adult Chinook salmon (Oncorhynchus tshawytscha) survival within the lower Columbia River amid increasing pinniped abundance","docAbstract":"Significant effort towards conservation has contributed to the recovery of historically depleted pinniped populations world-wide.  However, in several locations where pinnipeds have increased, they have been blamed for preventing the recovery of commercially valuable fish species through predation. Prompted by increasing pinniped abundance within the Columbia River (CR) USA, over a six year period, we used Passive Integrated Transponder tags to measure the survival of adult spring-run Chinook salmon (Oncorhynchus tshawytscha) through the estuary and lower CR to Bonneville Dam (Rkm 234). We estimated 51 751 - 224 705 salmon died annually from sources other than harvest. Mixed-effects logistic regression modelling identified pinniped predation as the most likely source.  The odds of survival was estimated to decrease by 32% (95% CI: 6%-51% decrease) for every additional 467 sea lions, and to increase by 32% (95% CI: 8%-61% increase) for every increase of 1.5 in the log of American shad (Alosa sapidissima), a potential prey item for sea lions. A third covariate was the adipose clip status of the fish, indicating whether it was eligible for harvest.","language":"English","doi":"10.1139/cjfas-2018-0290","usgsCitation":"Wargo Rub, A.M., Som, N.A., Henderson, M., Sandford, B.P., Van Doornik, D.M., Teel, D.J., Tennis, M., Langness, O.P., van der Leeuw, B., and Huff, D.D., 2019, Changes in adult Chinook salmon (Oncorhynchus tshawytscha) survival within the lower Columbia River amid increasing pinniped abundance: Canadian Journal Fisheries and Aquatic Sciences, v. 76, no. 10, p. 1862-1873, https://doi.org/10.1139/cjfas-2018-0290.","productDescription":"12 p.","startPage":"1862","endPage":"1873","ipdsId":"IP-098832","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":380174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.10705566406249,\n              45.97406038956237\n            ],\n            [\n              -123.1622314453125,\n              45.97406038956237\n            ],\n            [\n              -123.1622314453125,\n              46.45678142812658\n            ],\n            [\n              -124.10705566406249,\n              46.45678142812658\n            ],\n            [\n              -124.10705566406249,\n              45.97406038956237\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"76","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wargo Rub, A. Michelle","contributorId":148962,"corporation":false,"usgs":false,"family":"Wargo Rub","given":"A.","email":"","middleInitial":"Michelle","affiliations":[{"id":17605,"text":"NOAA, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":803978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Som, Nicholas A.","contributorId":203773,"corporation":false,"usgs":false,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":36713,"text":"Statistician, USFWS - Arcata Fisheries Program, Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":803979,"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":803980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sandford, Benjamin P.","contributorId":147434,"corporation":false,"usgs":false,"family":"Sandford","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":803981,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Doornik, Donald M.","contributorId":244452,"corporation":false,"usgs":false,"family":"Van Doornik","given":"Donald","email":"","middleInitial":"M.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":803982,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Teel, David J.","contributorId":244453,"corporation":false,"usgs":false,"family":"Teel","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":803983,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tennis, Matt","contributorId":244454,"corporation":false,"usgs":false,"family":"Tennis","given":"Matt","email":"","affiliations":[{"id":39900,"text":"PSMFC","active":true,"usgs":false}],"preferred":false,"id":803984,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Langness, Olaf P.","contributorId":244455,"corporation":false,"usgs":false,"family":"Langness","given":"Olaf","email":"","middleInitial":"P.","affiliations":[{"id":13674,"text":"WDFW","active":true,"usgs":false}],"preferred":false,"id":803985,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"van der Leeuw, Bjorn","contributorId":244456,"corporation":false,"usgs":false,"family":"van der Leeuw","given":"Bjorn","affiliations":[{"id":48914,"text":"coe","active":true,"usgs":false}],"preferred":false,"id":803986,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Huff, David D.","contributorId":171694,"corporation":false,"usgs":false,"family":"Huff","given":"David","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":803987,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70216094,"text":"70216094 - 2019 - Evaluation of artificial cover units as a sampling technique and habitat enhancement for madtoms in rivers","interactions":[],"lastModifiedDate":"2020-11-04T20:21:05.601625","indexId":"70216094","displayToPublicDate":"2019-11-04T14:13:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of artificial cover units as a sampling technique and habitat enhancement for madtoms in rivers","docAbstract":"Instream habitat degradation and loss are major threats to freshwater fishes and critical conservation issues among nongame species, due to a lack of research and knowledge concerning their habitat requirements. Instream physical cover is an important component of fish habitat, especially for benthic species that require cover for reproduction and shelter from predators. One such species is the Carolina Madtom Noturus furiosus, a small, imperiled, nongame catfish endemic to the Neuse and Tar river basins of North Carolina. To enhance understanding of instream cover dynamics, we constructed artificial cover units from terra cotta materials and deployed them in rivers to (1) evaluate if they could be an effective passive sampling technique to estimate detection and occupancy of the Carolina Madtom, and (2) determine their potential to enhance habitat in systems where instream cover has been lost. Artificial cover units were deployed at 8 sites in the Neuse and Tar river basins, and collected 30 Carolina Madtoms at 2 sites in the Tar River basin. Occupancy modeling estimated Carolina Madtom detection probability using artificial cover units at 0.92. Compared to other standardized sampling methods, artificial cover units were an efficient, passive sampling technique for detecting Carolina Madtoms. Observations also revealed that artificial cover units were occupied by Carolina Madtoms for reproduction. These findings provide natural resource managers an additional means to assess the status of this imperiled species using an inexpensive, passive sampling device that can provide spawning habitat, protection from predators, and help mitigate effects of instream habitat degradation. ","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10317","usgsCitation":"Cope, W.R., Kwak, T.J., Black, T.R., and Pacifici, K., 2019, Evaluation of artificial cover units as a sampling technique and habitat enhancement for madtoms in rivers: North American Journal of Fisheries Management, v. 39, no. 4, p. 778-787, https://doi.org/10.1002/nafm.10317.","productDescription":"10 p.","startPage":"778","endPage":"787","ipdsId":"IP-107879","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":380172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Neuse and Tar River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.9207763671875,\n              34.69646117272349\n            ],\n            [\n              -76.04736328125,\n              34.903952965590065\n            ],\n            [\n              -75.9814453125,\n              35.51434313431818\n            ],\n            [\n              -78.057861328125,\n              36.25313319699069\n            ],\n            [\n              -78.629150390625,\n              36.25313319699069\n            ],\n            [\n              -78.59619140625,\n              35.88459964717596\n            ],\n            [\n              -78.4698486328125,\n              35.523285179107816\n            ],\n            [\n              -78.2171630859375,\n              35.205233347514536\n            ],\n            [\n              -76.9207763671875,\n              34.69646117272349\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"39","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Cope, W. R.","contributorId":244492,"corporation":false,"usgs":false,"family":"Cope","given":"W.","email":"","middleInitial":"R.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":804053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":804054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Black, T. R.","contributorId":244493,"corporation":false,"usgs":false,"family":"Black","given":"T.","email":"","middleInitial":"R.","affiliations":[{"id":38108,"text":"NA","active":true,"usgs":false}],"preferred":false,"id":804055,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pacifici, Krishna","contributorId":244494,"corporation":false,"usgs":false,"family":"Pacifici","given":"Krishna","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":804056,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208865,"text":"70208865 - 2019 - Effects of invasive plants on fire regimes and postfire vegetation diversity in an arid ecosystem","interactions":[],"lastModifiedDate":"2020-03-03T14:09:02","indexId":"70208865","displayToPublicDate":"2019-11-04T14:06:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Effects of invasive plants on fire regimes and postfire vegetation diversity in an arid ecosystem","docAbstract":"We assessed the impacts of co‐occurring invasive plant species on fire regimes and postfire native communities in the Mojave Desert, western USA. We analyzed the distribution and co‐occurrence patterns of three invasive annual grasses (Bromus rubens, Bromus tectorum, and Schismus spp.) known to alter fuel conditions and community structure, and an invasive forb (Erodium cicutarium) which dominates postfire sites. We developed species distribution models (SDMs) for each of the four taxa and analyzed field plot data to assess the relationship between invasives and fire frequency, years postfire, and the impacts on postfire native herbaceous diversity. Most of the Mojave Desert is highly suitable for at least one of the four invasive species, and 76% of the ecoregion is predicted to have high or very high suitability for the joint occurrence of B. rubens and B. tectorum and 42% high or very high suitability for the joint occurrence of the two Bromus species and E. cicutarium. Analysis of cover from plot data indicated two or more of the species occurred in 77% of the plots, with their cover doubling with each additional species. We found invasive cover in burned plots increased for the first 20 years postfire and recorded two to five times more cover in burned than unburned plots. Analysis also indicated that native species diversity and evenness as negatively associated with higher levels of relative cover of the four invasive taxa. Our findings revealed overlapping distributions of the four invasives; a strong relationship between the invasives and fire frequency; and significant negative impacts of invasives on native herbaceous diversity in the Mojave. This suggests predicting the distributions of co‐occurring invasive species, especially transformer species, will provide a better understanding of where native‐dominated communities are most vulnerable to transformations following fire or other disturbances.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5650","usgsCitation":"Underwood, E., Klinger, R.C., and Brooks, M.L., 2019, Effects of invasive plants on fire regimes and postfire vegetation diversity in an arid ecosystem: Ecology and Evolution, v. 9, no. 22, p. 12421-12435, https://doi.org/10.1002/ece3.5650.","productDescription":"15 p.","startPage":"12421","endPage":"12435","ipdsId":"IP-112629","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":459266,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5650","text":"Publisher Index Page"},{"id":437289,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GUST4Q","text":"USGS data release","linkHelpText":"Invasive Plant Cover in the Mojave Desert, 2009 - 2013 (ver. 2.0, April 2021)"},{"id":372874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Mojave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.3946533203125,\n              33.65578083204094\n            ],\n            [\n              -114.70275878906249,\n              33.280027811732154\n            ],\n            [\n              -114.40612792968749,\n              35.14686290675633\n            ],\n            [\n              -115.77941894531249,\n              35.92464453144099\n            ],\n            [\n              -116.70227050781249,\n              35.420391545750746\n            ],\n            [\n              -117.32299804687499,\n              34.985003130171066\n            ],\n            [\n              -116.83959960937499,\n              34.347971491244955\n            ],\n            [\n              -116.3946533203125,\n              33.65578083204094\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"22","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Underwood, Emma C.","contributorId":204451,"corporation":false,"usgs":false,"family":"Underwood","given":"Emma C.","affiliations":[],"preferred":false,"id":783733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klinger, Robert C. 0000-0003-3193-3199 rcklinger@usgs.gov","orcid":"https://orcid.org/0000-0003-3193-3199","contributorId":5395,"corporation":false,"usgs":true,"family":"Klinger","given":"Robert","email":"rcklinger@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":783734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783732,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228429,"text":"70228429 - 2019 - Multipurpose oxbows as a nitrate export reduction practice in the agricultural Midwest","interactions":[],"lastModifiedDate":"2022-02-10T15:36:47.972031","indexId":"70228429","displayToPublicDate":"2019-11-01T09:29:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5490,"text":"Agricultural & Environmental Letters","onlineIssn":"2471-9625","active":true,"publicationSubtype":{"id":10}},"title":"Multipurpose oxbows as a nitrate export reduction practice in the agricultural Midwest","docAbstract":"<h3 id=\"ael2ael2019090035-sec-0001-title\" class=\"article-section__sub-title section1\">Core Ideas</h3><div class=\"paragraph-element\"><ul class=\"unordered-list\"><li>Oxbows reduce nitrate export from agricultural fields to adjacent rivers and streams.</li><li>Oxbows are important habitat for wildlife, including the endangered Topeka shiner.</li><li>Oxbows have largely disappeared from midwestern landscapes modified for agriculture.</li><li>Restoring multipurpose oxbows provides multiple benefits in the agricultural Midwest.</li></ul></div><p>Nutrient export from the agricultural US Midwest influences streams and rivers and contributes to the development of hypoxia in the Gulf of Mexico. Oxbows are natural waterbodies formed when a river cuts off a meander loop as it migrates within its floodplain. Creation of<span>&nbsp;</span><i>multipurpose oxbows</i><span>&nbsp;</span>by restoration of former oxbows can potentially reduce export of nitrate-nitrogen (nitrate) from agricultural land as well as provide important habitat for many species, including the endangered Topeka shiner. Recent studies of nitrate export reduction by oxbows in Iowa are encouraging, demonstrating a 45% reduction in nitrate export of water entering oxbows from subsurface tiles compared with water discharged to the adjacent stream. Oxbow restorations are as effective as several other nutrient reduction practices, are relatively inexpensive, last for decades if not centuries, remove little or no land from agricultural production, and provide significant ecosystem services. Multipurpose oxbows are a promising new best management practice for reducing nitrate export from agricultural lands.</p>","language":"English","publisher":"ACSESS","doi":"10.2134/ael2019.09.0035","usgsCitation":"Schilling, K.E., Wilke, K., Pierce, C., Kult, K., and Kenny, A., 2019, Multipurpose oxbows as a nitrate export reduction practice in the agricultural Midwest: Agricultural & Environmental Letters, v. 4, no. 1, 1900035, 5 p., https://doi.org/10.2134/ael2019.09.0035.","productDescription":"1900035, 5 p.","ipdsId":"IP-111287","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":459288,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/ael2019.09.0035","text":"Publisher Index Page"},{"id":395770,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","otherGeospatial":"Boone River watershed, North Raccoon river watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.91937255859375,\n              41.566141964768384\n            ],\n            [\n              -93.93310546875,\n              41.916585116228354\n            ],\n            [\n              -94.16244506835938,\n              42.132858175814626\n            ],\n            [\n              -94.49615478515625,\n              42.29965889253408\n            ],\n            [\n              -95.00289916992188,\n              42.27629267135368\n            ],\n            [\n              -95.06469726562499,\n              42.05745022024682\n            ],\n            [\n              -93.97705078125,\n              41.549700145132725\n            ],\n            [\n              -93.91937255859375,\n              41.566141964768384\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.7847900390625,\n              42.34941019930749\n            ],\n            [\n              -93.71337890625,\n              42.495390378152244\n            ],\n            [\n              -93.87542724609375,\n              42.94436044696629\n            ],\n            [\n              -94.12811279296875,\n              42.92525734446738\n            ],\n            [\n              -94.02374267578125,\n              42.56117285531808\n            ],\n            [\n              -93.85208129882812,\n              42.332153998913704\n            ],\n            [\n              -93.7847900390625,\n              42.34941019930749\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schilling, Keith E.","contributorId":275776,"corporation":false,"usgs":false,"family":"Schilling","given":"Keith","email":"","middleInitial":"E.","affiliations":[{"id":56893,"text":"Iowa Geological Society","active":true,"usgs":false}],"preferred":false,"id":834278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilke, Karen","contributorId":275777,"corporation":false,"usgs":false,"family":"Wilke","given":"Karen","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":834279,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":834277,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kult, Keegan","contributorId":275778,"corporation":false,"usgs":false,"family":"Kult","given":"Keegan","email":"","affiliations":[{"id":56894,"text":"Agricultural Drainage Management Coalition","active":true,"usgs":false}],"preferred":false,"id":834280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kenny, Aleshia","contributorId":275779,"corporation":false,"usgs":false,"family":"Kenny","given":"Aleshia","email":"","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":834281,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70236820,"text":"70236820 - 2019 - The behavior of the Salesforce Tower, the tallest building in San Francisco, California inferred from earthquake and ambient shaking","interactions":[],"lastModifiedDate":"2022-09-19T12:19:28.294744","indexId":"70236820","displayToPublicDate":"2019-11-01T07:14:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"The behavior of the Salesforce Tower, the tallest building in San Francisco, California inferred from earthquake and ambient shaking","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>The newly constructed tallest building designed in conformance with performance-based design procedure in San Francisco, California is a 61-story building equipped with an accelerometric array that recorded the January 4, 2018 M4.4 Berkeley earthquake. The building is designed with concrete core shear walls and perimeter gravity steel columns. The earthquake records as well as on-demand recorded ambient responses of the building are studied to determine its dynamic characteristics and building-specific behavior. At the level of shaking of either the earthquake or ambient excitation, the frequencies and low modal damping ratios (&lt;2%) are similar. The building exhibits torsional behavior most likely due to abrupt asymmetrical changes in the size of the core shear wall. The translational and torsional modes during the earthquake are closely coupled, which leads to a beating effect, the period of which is calculable. Due to the relatively low-amplitude shaking during the earthquake, the drift ratios were small and did not cause any damage. It is expected that during stronger shaking levels, these characteristics may change.</div></div></div>","language":"English","publisher":"Earthquake Engineering Research Institute (EERI)","doi":"10.1193/112918EQS273M","usgsCitation":"Celebi, M., Haddadi, H., Huang, M., Valley, M., Hooper, J., and Klemencic. Ron, 2019, The behavior of the Salesforce Tower, the tallest building in San Francisco, California inferred from earthquake and ambient shaking: Earthquake Spectra, v. 35, no. 4, p. 1711-1737, https://doi.org/10.1193/112918EQS273M.","productDescription":"27 p.","startPage":"1711","endPage":"1737","ipdsId":"IP-102937","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":406946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Francisco","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.3985743522644,\n              37.78830183288528\n            ],\n            [\n              -122.39432573318481,\n              37.78830183288528\n            ],\n            [\n              -122.39432573318481,\n              37.791421960259214\n            ],\n            [\n              -122.3985743522644,\n              37.791421960259214\n            ],\n            [\n              -122.3985743522644,\n              37.78830183288528\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"35","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-11-01","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":852263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haddadi, Hamid","contributorId":296690,"corporation":false,"usgs":false,"family":"Haddadi","given":"Hamid","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":852264,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huang, Moh","contributorId":146970,"corporation":false,"usgs":false,"family":"Huang","given":"Moh","email":"","affiliations":[],"preferred":false,"id":852265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valley, Michael","contributorId":199387,"corporation":false,"usgs":false,"family":"Valley","given":"Michael","email":"","affiliations":[],"preferred":false,"id":852266,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hooper, John","contributorId":146972,"corporation":false,"usgs":false,"family":"Hooper","given":"John","affiliations":[],"preferred":false,"id":852267,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Klemencic. Ron","contributorId":296703,"corporation":false,"usgs":false,"family":"Klemencic. Ron","affiliations":[{"id":64150,"text":"MKA","active":true,"usgs":false}],"preferred":false,"id":852268,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70208005,"text":"70208005 - 2019 - La Niña-driven flooding in the Indo-Pacific warm pool during the past millennium","interactions":[],"lastModifiedDate":"2020-01-24T06:42:09","indexId":"70208005","displayToPublicDate":"2019-11-01T06:40:20","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"La Niña-driven flooding in the Indo-Pacific warm pool during the past millennium","docAbstract":"Extreme precipitation events are one of the most consequential components of climate change for society. The El Niño-Southern Oscillation (ENSO) is the dominant mode of precipitation variability in the tropics and causes severe flooding and drought in many socioeconomically vulnerable regions. It remains unclear how tropical rainfall extremes and ENSO are changing in response to anthropogenic forcing, demanding that we investigate the relationships between precipitation, ENSO, and external forcing in the past. Lake sediment records have provided benchmark records of extreme flood events from the eastern tropical Pacific, where paleofloods have been interpreted to reflect El Niño events during the last millennium. However, the connections between flooding and ENSO variability in this region are uncertain, and the eastern Pacific can only capture precipitation events driven by El Niño, not La Niña. Thus, it is unclear how the ENSO system and tropical rainfall extremes have changed in the recent past. Here, we reconstruct flood events during the past millennium using a lake sediment record from East Java, Indonesia, which can provide insight into flooding driven by La Niña. We detect flood frequency variations in the western tropical Pacific that are highly coherent with records from the eastern part of the basin over the past millennium. Our findings demonstrate that heavy rainfall and flooding occurs more frequently on both sides of the tropical Pacific during periods of warmer Northern Hemisphere mean temperatures, implying that ENSO-driven rainfall extremes could intensify in the near future.","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2019.106020","usgsCitation":"Rodysill, J., Russell, J.M., Vuille, M., Dee, S., Lunghino, B., and Bijaksana, S., 2019, La Niña-driven flooding in the Indo-Pacific warm pool during the past millennium: Quaternary Science Reviews, v. 225, 106020, 11 p., https://doi.org/10.1016/j.quascirev.2019.106020.","productDescription":"106020, 11 p.","ipdsId":"IP-102683","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":459292,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2019.106020","text":"Publisher Index Page"},{"id":371512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Indonesia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[120.71561,-10.23958],[120.29501,-10.25865],[118.96781,-9.55797],[119.90031,-9.36134],[120.42576,-9.66592],[120.7755,-9.96968],[120.71561,-10.23958]]],[[[124.43595,-10.14],[123.57998,-10.35999],[123.45999,-10.23999],[123.55001,-9.90002],[123.98001,-9.29003],[124.96868,-8.89279],[125.07002,-9.08999],[125.08852,-9.39317],[124.43595,-10.14]]],[[[117.90002,-8.09568],[118.26062,-8.36238],[118.87846,-8.28068],[119.12651,-8.70582],[117.9704,-8.90664],[117.27773,-9.04089],[116.74014,-9.03294],[117.08374,-8.45716],[117.63202,-8.4493],[117.90002,-8.09568]]],[[[122.90354,-8.09423],[122.75698,-8.64981],[121.25449,-8.93367],[119.92439,-8.81042],[119.92093,-8.44486],[120.71509,-8.23696],[121.34167,-8.53674],[122.00736,-8.46062],[122.90354,-8.09423]]],[[[108.62348,-6.77767],[110.53923,-6.87736],[110.75958,-6.46519],[112.61481,-6.94604],[112.97877,-7.59421],[114.47894,-7.77653],[115.70553,-8.37081],[114.56451,-8.75182],[113.46473,-8.34895],[112.55967,-8.37618],[111.52206,-8.30213],[110.58615,-8.1226],[109.42767,-7.74066],[108.69366,-7.6416],[108.27776,-7.76666],[106.4541,-7.3549],[106.28062,-6.9249],[105.36549,-6.85142],[106.05165,-5.89592],[107.26501,-5.95499],[108.07209,-6.34576],[108.48685,-6.42198],[108.62348,-6.77767]]],[[[134.72462,-6.2144],[134.21013,-6.89524],[134.11278,-6.14247],[134.29034,-5.78306],[134.49963,-5.44504],[134.727,-5.73758],[134.72462,-6.2144]]],[[[127.24922,-3.45907],[126.87492,-3.79098],[126.1838,-3.60738],[125.98903,-3.17727],[127.00065,-3.12932],[127.24922,-3.45907]]],[[[130.47134,-3.09376],[130.83484,-3.85847],[129.99055,-3.4463],[129.15525,-3.36264],[128.59068,-3.42868],[127.89889,-3.39344],[128.13588,-2.84365],[129.371,-2.80215],[130.47134,-3.09376]]],[[[134.14337,-1.15187],[134.42263,-2.76918],[135.4576,-3.36775],[136.29331,-2.30704],[137.44074,-1.70351],[138.32973,-1.70269],[139.18492,-2.0513],[139.92668,-2.40905],[141.00021,-2.60015],[141.01706,-5.85902],[141.03385,-9.11789],[140.14342,-8.29717],[139.12777,-8.09604],[138.88148,-8.38094],[137.61447,-8.41168],[138.0391,-7.59788],[138.66862,-7.32022],[138.40791,-6.23285],[137.92784,-5.39337],[135.98925,-4.54654],[135.1646,-4.46293],[133.66288,-3.53885],[133.3677,-4.02482],[132.98396,-4.11298],[132.75694,-3.74628],[132.75379,-3.31179],[131.9898,-2.82055],[133.06684,-2.46042],[133.78003,-2.47985],[133.69621,-2.21454],[132.23237,-2.21253],[131.83622,-1.61716],[130.94284,-1.43252],[130.51956,-0.93772],[131.86754,-0.69546],[132.38012,-0.36954],[133.98555,-0.78021],[134.14337,-1.15187]]],[[[125.2405,1.41984],[124.43704,0.42788],[123.6855,0.23559],[122.72308,0.43114],[121.05672,0.38122],[120.18308,0.23725],[120.04087,-0.51966],[120.93591,-1.40891],[121.47582,-0.95596],[123.34056,-0.61567],[123.2584,-1.07621],[122.82272,-0.93095],[122.38853,-1.51686],[121.50827,-1.90448],[122.45457,-3.18606],[122.2719,-3.5295],[123.17096,-4.68369],[123.16233,-5.3406],[122.62852,-5.63459],[122.23639,-5.28293],[122.71957,-4.46417],[121.73823,-4.85133],[121.48946,-4.57455],[121.61917,-4.18848],[120.89818,-3.60211],[120.97239,-2.62764],[120.30545,-2.9316],[120.39005,-4.09758],[120.43072,-5.52824],[119.79654,-5.6734],[119.36691,-5.37988],[119.65361,-4.45942],[119.49884,-3.49441],[119.07834,-3.48702],[118.76777,-2.802],[119.18097,-2.1471],[119.32339,-1.35315],[119.826,0.15425],[120.0357,0.56648],[120.88578,1.30922],[121.66682,1.01394],[122.92757,0.87519],[124.07752,0.9171],[125.06599,1.64326],[125.2405,1.41984]]],[[[128.68825,1.13239],[128.63595,0.25849],[128.12017,0.35641],[127.96803,-0.25208],[128.38,-0.78],[128.10002,-0.9],[127.69647,-0.2666],[127.39949,1.01172],[127.60051,1.81069],[127.93238,2.1746],[128.00416,1.62853],[128.59456,1.54081],[128.68825,1.13239]]],[[[117.87563,1.82764],[118.99675,0.90222],[117.81186,0.78424],[117.47834,0.10247],[117.52164,-0.80372],[116.56005,-1.48766],[116.5338,-2.48352],[116.14808,-4.01273],[116.00086,-3.65704],[114.8648,-4.10698],[114.46865,-3.4957],[113.75567,-3.43917],[113.25699,-3.11878],[112.06813,-3.47839],[111.70329,-2.99444],[111.04824,-3.04943],[110.22385,-2.93403],[110.07094,-1.59287],[109.57195,-1.31491],[109.09187,-0.45951],[108.95266,0.41538],[109.06914,1.34193],[109.66326,2.00647],[109.83023,1.33814],[110.51406,0.77313],[111.15914,0.97648],[111.79755,0.90444],[112.38025,1.41012],[112.85981,1.49779],[113.80585,1.21755],[114.62136,1.43069],[115.13404,2.82148],[115.51908,3.16924],[115.86552,4.30656],[117.01521,4.30609],[117.88203,4.13755],[117.31323,3.23443],[118.04833,2.28769],[117.87563,1.82764]]],[[[105.81766,-5.85236],[104.71038,-5.87328],[103.86821,-5.03731],[102.58426,-4.22026],[102.15617,-3.61415],[101.39911,-2.79978],[100.9025,-2.05026],[100.14198,-0.65035],[99.26374,0.18314],[98.97001,1.04288],[98.60135,1.82351],[97.6996,2.45318],[97.17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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rodysill, Jessica 0000-0002-3602-7227","orcid":"https://orcid.org/0000-0002-3602-7227","contributorId":215394,"corporation":false,"usgs":true,"family":"Rodysill","given":"Jessica","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":780114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Russell, James M.","contributorId":174740,"corporation":false,"usgs":false,"family":"Russell","given":"James","email":"","middleInitial":"M.","affiliations":[{"id":27506,"text":"Department of Earth, Environmental and Planetary Sciences, Brown University, Providence RI 02912 USA","active":true,"usgs":false}],"preferred":false,"id":780115,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vuille, Mathias","contributorId":147457,"corporation":false,"usgs":false,"family":"Vuille","given":"Mathias","email":"","affiliations":[],"preferred":false,"id":780116,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dee, Sylvia 0000-0002-2140-785X","orcid":"https://orcid.org/0000-0002-2140-785X","contributorId":221750,"corporation":false,"usgs":false,"family":"Dee","given":"Sylvia","email":"","affiliations":[{"id":40413,"text":"Department of Earth, Environmental, and Planetary Sciences, Rice University, Houston, TX","active":true,"usgs":false}],"preferred":false,"id":780117,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lunghino, Brent D.","contributorId":181566,"corporation":false,"usgs":false,"family":"Lunghino","given":"Brent D.","affiliations":[],"preferred":false,"id":780118,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bijaksana, Satria 0000-0001-6374-4128","orcid":"https://orcid.org/0000-0001-6374-4128","contributorId":221751,"corporation":false,"usgs":false,"family":"Bijaksana","given":"Satria","email":"","affiliations":[{"id":40414,"text":"Faculty of Mining and Petroleum Engineering, Institut Teknologi Bandung, Bandung, Jawa Barat","active":true,"usgs":false}],"preferred":false,"id":780119,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70226698,"text":"70226698 - 2019 - Tidal erosion and upstream sediment trapping modulate records of land-use change in a formerly glaciated New England estuary","interactions":[],"lastModifiedDate":"2021-12-07T12:35:38.829973","indexId":"70226698","displayToPublicDate":"2019-11-01T06:32:41","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9939,"text":"Anthropocene Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Tidal erosion and upstream sediment trapping modulate records of land-use change in a formerly glaciated New England estuary","docAbstract":"<div id=\"abstracts\"><div class=\"core-container\"><div>Land clearing, river impoundments, and other human modifications to the upland landscape and within estuarine systems can drive coastal change at local to regional scales. However, as compared with mid-latitude coasts, the impacts of human modifications along sediment-starved formerly glaciated coastal landscapes are relatively understudied. To address this gap, we present a late-Holocene record of changing sediment accumulation rates and sediment sources from sediment cores collected across a tidal flat in the Merrimack River estuary (Mass., USA). We pair sedimentology, geochronology, bulk- and stable-isotope organic geochemistry, and hydrodynamic simulations with historical data to evaluate human and natural impacts on coastal sediment fluxes. During the 17th to 19th centuries, accumulation rates increased by an order of magnitude in the central tidal flat, likely in response to enhanced delivery of terrestrial sediment resulting from upland deforestation. However, the overall increase in accumulation (0.56–2.6&nbsp;mm/year) within the estuary is subtle and spatially variable across the tidal flats because of coincident anthropogenic land clearing and dam building, upland sediment storage, and estuarine hydrodynamics. This study provides insight into the response of formerly glaciated fluvial-coastal systems to human modifications, and underscores the role of estuarine environmental conditions in modifying upland signals of land-use change.</div></div></div>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/anc-2018-0034","usgsCitation":"Shawler, J.L., Hein, C.J., Canuel, E.A., Kaste, J.M., Fitzsimons, G.G., Georgiou, I.Y., and Willard, D.A., 2019, Tidal erosion and upstream sediment trapping modulate records of land-use change in a formerly glaciated New England estuary: Anthropocene Coasts, v. 2, no. 1, p. 340-361, https://doi.org/10.1139/anc-2018-0034.","productDescription":"22 p.","startPage":"340","endPage":"361","ipdsId":"IP-102409","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true}],"links":[{"id":459295,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/anc-2018-0034","text":"Publisher Index Page"},{"id":392563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts, New Hampshire","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.21063232421875,\n              42.559149812115876\n            ],\n            [\n              -70.55694580078125,\n              42.559149812115876\n            ],\n            [\n              -70.55694580078125,\n              43.1090040242731\n            ],\n            [\n              -71.21063232421875,\n              43.1090040242731\n            ],\n            [\n              -71.21063232421875,\n              42.559149812115876\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Shawler, Justin L.","contributorId":256701,"corporation":false,"usgs":false,"family":"Shawler","given":"Justin","email":"","middleInitial":"L.","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":827758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hein, Christopher J.","contributorId":256702,"corporation":false,"usgs":false,"family":"Hein","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":827759,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Canuel, Elizabeth A","contributorId":269701,"corporation":false,"usgs":false,"family":"Canuel","given":"Elizabeth","email":"","middleInitial":"A","affiliations":[{"id":56025,"text":"Virginia Institute of Marine  Science","active":true,"usgs":false}],"preferred":false,"id":827760,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaste, James M","contributorId":216607,"corporation":false,"usgs":false,"family":"Kaste","given":"James","email":"","middleInitial":"M","affiliations":[{"id":39485,"text":"The College of William & Mary","active":true,"usgs":false}],"preferred":false,"id":827761,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzsimons, Gregory G","contributorId":269702,"corporation":false,"usgs":false,"family":"Fitzsimons","given":"Gregory","email":"","middleInitial":"G","affiliations":[{"id":56026,"text":"GGF Historical Consultants","active":true,"usgs":false}],"preferred":false,"id":827762,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Georgiou, Ioannis Y.","contributorId":205361,"corporation":false,"usgs":false,"family":"Georgiou","given":"Ioannis","email":"","middleInitial":"Y.","affiliations":[{"id":37089,"text":"Pontchartrain Institute for Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":827763,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Willard, Debra A. 0000-0003-4878-0942 dwillard@usgs.gov","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":2076,"corporation":false,"usgs":true,"family":"Willard","given":"Debra","email":"dwillard@usgs.gov","middleInitial":"A.","affiliations":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":827764,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70211342,"text":"70211342 - 2019 - Partly cloudy with a chance of lava flows: Forecasting volcanic eruptions in the 21st century","interactions":[],"lastModifiedDate":"2020-07-27T15:01:15.447745","indexId":"70211342","displayToPublicDate":"2019-10-31T09:50:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Partly cloudy with a chance of lava flows: Forecasting volcanic eruptions in the 21st century","docAbstract":"<div class=\"article-section__content en main\"><p>A primary goal of volcanology is forecasting hazardous eruptive activity. Despite much progress over the last century, however, volcanoes still erupt with no detected precursors, lives and livelihoods are lost to eruptive activity, and forecasting the onsets of eruptions remains fraught with uncertainty. Long‐term forecasts are generally derived from the geological and historical records, from which recurrence intervals and styles of activity can be inferred, while shorter‐term forecasts are derived from patterns in monitoring data. Information from geology and monitoring data can be evaluated and combined using statistical analysis, expert elicitation, and conceptual and or mathematical models. Integrative frameworks, such as event trees, combine this diversity of information to produce probabilistic forecasts that can inform the style and scale of the societal response to a potential future eruption. Several developments show promise to revolutionize the utility and accuracy of these forecasts. These include growth in the quantity and quality of multidisciplinary monitoring data, coupled with increases in computing power; machine learning algorithms, which will allow far better utilization of this growing volume of data; and new physiochemical volcano models and data assimilation algorithms, which take advantage of a wide range of monitoring data and realistic physics to better predict the evolution of a given physical state. Although eruption forecasts may never be as generally&nbsp;reliable as weather forecasts, and great caution must be exercised when attempting to predict highly complex volcanic behavior, these and other innovations—particularly when combined in integrative, fully probabilistic forecasting frameworks—should help volcanologists to better issue warnings of volcanic activity on societally relevant time frames.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JB016974","usgsCitation":"Poland, M.P., and Anderson, K.R., 2019, Partly cloudy with a chance of lava flows: Forecasting volcanic eruptions in the 21st century: Journal of Geophysical Research, v. 1, no. 125, e2018JB016974, 32 p., https://doi.org/10.1029/2018JB016974.","productDescription":"e2018JB016974, 32 p.","ipdsId":"IP-108339","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":459301,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jb016974","text":"Publisher Index Page"},{"id":376712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy, United States","state":"Hawaii","otherGeospatial":"Campi Flegrei, Kīlauea volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              14.135026931762695,\n              40.823487547820015\n            ],\n            [\n              14.146184921264648,\n              40.823487547820015\n            ],\n            [\n              14.146184921264648,\n              40.83134608188173\n            ],\n            [\n              14.135026931762695,\n              40.83134608188173\n            ],\n            [\n              14.135026931762695,\n              40.823487547820015\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.302734375,\n              19.38629551130323\n            ],\n            [\n              -155.2326965332031,\n              19.38629551130323\n            ],\n            [\n              -155.2326965332031,\n              19.44134189745716\n            ],\n            [\n              -155.302734375,\n              19.44134189745716\n            ],\n            [\n              -155.302734375,\n              19.38629551130323\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"1","issue":"125","noUsgsAuthors":false,"publicationDate":"2020-01-10","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":793929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Kyle R. 0000-0001-8041-3996 kranderson@usgs.gov","orcid":"https://orcid.org/0000-0001-8041-3996","contributorId":3522,"corporation":false,"usgs":true,"family":"Anderson","given":"Kyle","email":"kranderson@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":793930,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70215270,"text":"70215270 - 2019 - Coseismic slip and early afterslip of the M6.0 August 24, 2014 South Napa, California, earthquake","interactions":[],"lastModifiedDate":"2020-10-14T13:29:10.31605","indexId":"70215270","displayToPublicDate":"2019-10-31T08:26:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Coseismic slip and early afterslip of the M6.0 August 24, 2014 South Napa, California, earthquake","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>We employ strong motion seismograms and static offsets from the Global Positioning System, Interferometric Synthetic Aperture Radar, and other measurements in order to derive a coseismic slip and afterslip model of the M6.0 24 August 2014 South Napa earthquake. This earthquake ruptured an ∼13‐km‐long portion of the West Napa fault with predominantly right‐lateral strike slip. In the kinematic seismic slip inversions, we couple the coseismic slip and afterslip distributions by requiring both distributions to involve right‐lateral strike slip with positive amplitude, with the net static slip being the sum of the two. We consider several candidate fault geometries: a first involving two steeply east dipping fault planes that reach Earth's surface at the western surface trace (STW), where most surface rupture was observed, a second involving a steeply west dipping plane that also reaches Earth's surface at the STW, and a third involving a combination of two variably west dipping planes constrained to pass through the locus of postseismic seismicity located ∼1&nbsp;km west of the STW. The data are best fit using the model of two east dipping fault planes, with coseismic slip up to ∼1.2&nbsp;m on a dominant shallow asperity about 10&nbsp;km north of the hypocenter and on deeper asperities on the southern part of the rupture. Afterslip up to 1&nbsp;m is concentrated along the southern part of the rupture at depths<span>&nbsp;</span><img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/cd1d253c-7f55-4e80-bea1-eb7ac75e6fe9/jgrb53820-math-0001.png\" alt=\"urn:x-wiley:jgrb:media:jgrb53820:jgrb53820-math-0001\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/cd1d253c-7f55-4e80-bea1-eb7ac75e6fe9/jgrb53820-math-0001.png\">5&nbsp;km, consistent with surface observations of afterslip. Seismic moments associated with coseismic slip and afterslip are 1.13×10<sup>18</sup>&nbsp;N&nbsp;m (Mw 6.00) and 3.64×10<sup>17</sup>&nbsp;N&nbsp;m, respectively.</p></div></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JB018470","usgsCitation":"Pollitz, F., Murray, J.R., Minson, S.E., Wicks, C.W., Svarc, J.L., and Brooks, B.A., 2019, Coseismic slip and early afterslip of the M6.0 August 24, 2014 South Napa, California, earthquake: Journal of Geophysical Research, v. 124, no. 11, p. 11728-11747, https://doi.org/10.1029/2019JB018470.","productDescription":"20 p.","startPage":"11728","endPage":"11747","ipdsId":"IP-109539","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":379354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"South Napa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.61566162109375,\n              38.002655740556705\n            ],\n            [\n              -121.91253662109376,\n              38.002655740556705\n            ],\n            [\n              -121.91253662109376,\n              38.44498466889473\n            ],\n            [\n              -122.61566162109375,\n              38.44498466889473\n            ],\n            [\n              -122.61566162109375,\n              38.002655740556705\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"124","issue":"11","noUsgsAuthors":false,"publicationDate":"2019-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":801417,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murray, Jessica R. 0000-0002-6144-1681 jrmurray@usgs.gov","orcid":"https://orcid.org/0000-0002-6144-1681","contributorId":2759,"corporation":false,"usgs":true,"family":"Murray","given":"Jessica","email":"jrmurray@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":801418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":801419,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wicks, Charles W. Jr. 0000-0002-0809-1328 cwicks@usgs.gov","orcid":"https://orcid.org/0000-0002-0809-1328","contributorId":127701,"corporation":false,"usgs":true,"family":"Wicks","given":"Charles","suffix":"Jr.","email":"cwicks@usgs.gov","middleInitial":"W.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":801420,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Svarc, Jerry L. 0000-0002-2802-4528","orcid":"https://orcid.org/0000-0002-2802-4528","contributorId":212736,"corporation":false,"usgs":true,"family":"Svarc","given":"Jerry","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":801421,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brooks, Benjamin A. 0000-0001-7954-6281 bbrooks@usgs.gov","orcid":"https://orcid.org/0000-0001-7954-6281","contributorId":5237,"corporation":false,"usgs":true,"family":"Brooks","given":"Benjamin","email":"bbrooks@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":801422,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70237907,"text":"70237907 - 2019 - Reactive transport modeling to understand attenuation of arsenic concentrations in anoxic groundwater during Fe(II) oxidation by nitrate","interactions":[],"lastModifiedDate":"2022-10-31T12:26:09.920383","indexId":"70237907","displayToPublicDate":"2019-10-31T07:24:33","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Reactive transport modeling to understand attenuation of arsenic concentrations in anoxic groundwater during Fe(II) oxidation by nitrate","docAbstract":"<p>A previously published field-experimental investigation showed that injection of nitrate in anoxic groundwater that contained aqueous and sediment-bound Fe(II) diminished concentrations of As(V) and As(III) to below drinking-water limits. In the current study, reactive transport modeling confirmed that the observed attenuation was consistent with oxidation of Fe(II) by nitrate, leading to precipitation of hydrous ferric oxide, which, in turn, sorbed both As(V) and As(III). After calibration with site-specific observations, reactive transport modeling could aid in designing effective treatment to remove arsenic using injection of nitrate to oxidize Fe(II).</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Environmental Arsenic in a Changing World","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Taylor and Francis","usgsCitation":"Kent, D.B., Smith, R.L., Jamieson, J., Bohlke, J., Repert, D.A., and Prommer, H., 2019, Reactive transport modeling to understand attenuation of arsenic concentrations in anoxic groundwater during Fe(II) oxidation by nitrate, chap. <i>of</i> Environmental Arsenic in a Changing World, p. 512-513.","productDescription":"2 p.","startPage":"512","endPage":"513","ipdsId":"IP-095134","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":408884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":408883,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.taylorfrancis.com/chapters/oa-edit/10.1201/9781351046633-203/reactive-transport-modeling-understand-attenuation-arsenic-concentrations-anoxic-groundwater-fe-ii-oxidation-nitrate-kent-smith-jamieson-b%C3%B6hlke-repert-prommer"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kent, Douglas B. 0000-0003-3758-8322 dbkent@usgs.gov","orcid":"https://orcid.org/0000-0003-3758-8322","contributorId":1871,"corporation":false,"usgs":true,"family":"Kent","given":"Douglas","email":"dbkent@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":856153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Richard L. 0000-0002-3829-0125 rlsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-3829-0125","contributorId":1592,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rlsmith@usgs.gov","middleInitial":"L.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":856154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jamieson, James","contributorId":298646,"corporation":false,"usgs":false,"family":"Jamieson","given":"James","email":"","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":856155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":856156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Repert, Deborah A. 0000-0001-7284-1456 darepert@usgs.gov","orcid":"https://orcid.org/0000-0001-7284-1456","contributorId":2578,"corporation":false,"usgs":true,"family":"Repert","given":"Deborah","email":"darepert@usgs.gov","middleInitial":"A.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":856157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Prommer, Henning","contributorId":298649,"corporation":false,"usgs":false,"family":"Prommer","given":"Henning","email":"","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":856158,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70206440,"text":"70206440 - 2019 - A conceptual framework for the identification and characterization of lacustrine spawning habitats for native lake charr Salvelinus namaycush","interactions":[],"lastModifiedDate":"2019-12-03T10:02:28","indexId":"70206440","displayToPublicDate":"2019-10-30T15:30:14","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A conceptual framework for the identification and characterization of lacustrine spawning habitats for native lake charr <i>Salvelinus namaycush</i>","title":"A conceptual framework for the identification and characterization of lacustrine spawning habitats for native lake charr Salvelinus namaycush","docAbstract":"<p><span>Lake charr&nbsp;</span><i class=\"EmphasisTypeItalic \">Salvelinus namaycush</i><span>&nbsp;are endemic to the formerly glaciated regions of North America and spawn primarily in lakes, unlike most other Salmoninae. Spawning habitats for lake charr are thought to be characterized by relatively large substrate particle sizes which provide sufficient interstitial spaces for egg incubation, but little is known about the physical processes that create or maintain suitable habitats. We review the literature on lake charr spawning habitat and present a conceptual framework that examines the roles of physical variables in creating the appropriate conditions for egg incubation. A critical underlying assumption of this framework is that lake charr will select spawning habitats that provide suitable hypolentic flows for egg incubation. We suggest that the characterization of lakebed surface roughness, current patterns, substrate particle size, and groundwater flows at multiple spatial scales may yield significant insight into the physical mechanisms supporting lacustrine spawning habitats for lake charr and will be useful in creating predictive models of these habitats. This framework may also apply to other lake-spawning lithophilic fish species.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10641-019-00928-w","usgsCitation":"Riley, S., Marsden, J.E., Ridgway, M.S., Konrad, C., Farha, S., Binder, T.R., Middel, T.A., Esselman, P., and Krueger, C.C., 2019, A conceptual framework for the identification and characterization of lacustrine spawning habitats for native lake charr Salvelinus namaycush: Environmental Biology of Fishes, v. 102, no. 12, p. 1533-1557, https://doi.org/10.1007/s10641-019-00928-w.","productDescription":"25 p.","startPage":"1533","endPage":"1557","ipdsId":"IP-111423","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":368937,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -138.8671875,\n              41.77131167976407\n            ],\n            [\n              -51.85546874999999,\n              41.77131167976407\n            ],\n            [\n              -51.85546874999999,\n              69.59589006237648\n            ],\n            [\n              -138.8671875,\n              69.59589006237648\n            ],\n            [\n              -138.8671875,\n              41.77131167976407\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"102","issue":"12","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Riley, Stephen 0000-0002-8968-8416 sriley@usgs.gov","orcid":"https://orcid.org/0000-0002-8968-8416","contributorId":169479,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen","email":"sriley@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":774544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marsden, J. E.","contributorId":220229,"corporation":false,"usgs":false,"family":"Marsden","given":"J.","email":"","middleInitial":"E.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":774545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ridgway, M. S.","contributorId":220230,"corporation":false,"usgs":false,"family":"Ridgway","given":"M.","email":"","middleInitial":"S.","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":774546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Konrad, Christopher 0000-0002-7354-547X","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":220231,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":774547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Farha, Steve A. 0000-0001-9953-6996 sfarha@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-6996","contributorId":5170,"corporation":false,"usgs":true,"family":"Farha","given":"Steve A.","email":"sfarha@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":774548,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Binder, Thomas R.","contributorId":220232,"corporation":false,"usgs":false,"family":"Binder","given":"Thomas","email":"","middleInitial":"R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":774549,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Middel, Trevor A.","contributorId":220233,"corporation":false,"usgs":false,"family":"Middel","given":"Trevor","email":"","middleInitial":"A.","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":774550,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Esselman, Peter C. 0000-0002-0085-903X","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":204291,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":774551,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Krueger, Charles C.","contributorId":169487,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":774552,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70205472,"text":"sir20195091 - 2019 - Summary of hydrologic testing, wellbore-flow data, and expanded water-level and water-quality data, 2011–15, Fort Irwin National Training Center, San Bernardino County, California","interactions":[],"lastModifiedDate":"2019-10-31T07:58:13","indexId":"sir20195091","displayToPublicDate":"2019-10-30T11:37:52","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":"2019-5091","displayTitle":"Summary of Hydrologic Testing, Wellbore<span>&#8208;</span>Flow Data, and Expanded Water<span>&#8208;</span>Level and Water<span>&#8208;</span>Quality Data, 2011<span>&#8211;</span>15, Fort Irwin Training Center, San Bernardino County, California","title":"Summary of hydrologic testing, wellbore-flow data, and expanded water-level and water-quality data, 2011–15, Fort Irwin National Training Center, San Bernardino County, California","docAbstract":"<p>In view of the U.S. Army’s historical reliance and plans to increase demands on groundwater to supply its operations at Fort Irwin National Training Center (NTC), California, coupled with the continuing water-level declines in some developed groundwater basins as a result of pumping, the U.S. Geological Survey (USGS), in cooperation with the U.S. Army, evaluated the water resources, including water quality and potential groundwater supply, of undeveloped basins in the NTC. Previous work in the three developed groundwater basins—Langford, Bicycle, and Irwin—provided information to support water-resources management of those basins. During 2009–12, the USGS installed 41 wells at the NTC; 34 wells were at 14 single- or multiple-well monitoring sites, and 7 wells were long-screen test wells. The majority of the wells were installed in previously undeveloped or minimally developed groundwater basins (Cronise, Red Pass, the Central Corridor area, Superior, Goldstone, and Nelson Basins). During 2012–15, the USGS tested hydrologic properties at 32 wells in 8 basins to help characterize the aquifer system. This report presents data and analyses from core samples; slug tests and single-well aquifer tests; coupled measurements of wellbore flow, water levels, and water-quality constituents; and results from two-dimensional numerical modeling. This information provides a basis for developing and constraining basin-scale hydrogeologic framework and groundwater-flow models to further evaluate water resources in each groundwater basin.</p><p>Core samples were tested for vertical saturated hydraulic conductivity, physical properties, and particle-size distribution. Vertical saturated hydraulic conductivities of the cores ranged from less than 0.00001 to 18.13 feet per day, and porosities ranged from 0.15 to 0.56. These physical properties and particle-size analyses indicate the high degree of heterogeneity of the hydrogeologic deposits penetrated by the boreholes. Horizontal hydraulic conductivities estimated from slug tests in 22 monitoring wells in 6 basins (Cronise, Central Corridor area, Goldstone, Langford, Bicycle, and Nelson Basins) ranged from less than 0.1 to 40 feet per day. Results of the aquifer tests at six test wells in the Goldstone, Nelson, and Superior Basins indicate hydraulic conductivities ranged from 0.37 to 66 feet per day; associated transmissivity values ranged from 130 to 28,000 feet squared per day. Wellbore-flow data, collected from the six test wells under unpumped and pumped conditions, generally showed downward movement of water. Flow data collected under unpumped conditions indicate groundwater entered the well through the upper part of the screened interval and exited to aquifer zones in the lower part of the screened interval at rates ranging from 1 to 3 gallons per minute. Flow data collected under pumping conditions show increased flow downward in the test wells, indicating higher yields from deeper aquifers.</p><p>Water levels, measured periodically between 2011 and 2015, remained stable during this period in the majority of the wells measured since 2011, except at two monitoring sites in developed basins (Bicycle and Langford). Vertical hydraulic gradients were generally low throughout the NTC, but ranged from –0.0003 to 0.27 during the summer of 2015. Multiple-well monitoring sites in Bicycle, Central Corridor area, Cronise, Goldstone, Nelson, and Superior Basins, had downward vertical gradients.</p><p>Groundwater in wells in Nelson and Superior Basins, and wells BLA5, CCT1, and GOLD2 #2, was characterized as sodium-bicarbonate water, whereas groundwater from the remaining wells in Goldstone Basin was characterized as sodium-chloride water and Cronise Basin, and well LL04 was characterized by sodium-sulfate water. Total dissolved solids (TDS) ranged from 285 to 13,400 milligrams per liter (mg/L) TDS and chloride concentrations ranged from 19 to 1,030 mg/L chloride, with lowest concentrations of each in groundwater from Superior and Nelson Basins and highest concentrations in Cronise Basin. Nitrate plus nitrite as nitrogen ranged from less than 0.040 mg/L in groundwater from Cronise and Goldstone Basins to about 20 mg/L in Nelson Basin. Groundwater from wells in Nelson Basin was isotopically light, whereas groundwater samples from wells CRTH1, CRTH2, and LL04 were isotopically heavier and plotted along an evaporative trend line. No measurable tritium was detected in groundwater from 13 wells sampled in 2015, indicating that groundwater was recharged prior to 1952. Measured carbon-14 (<sup>14</sup>C) activities in groundwater from four wells sampled in 2015 ranged from about 7.9 to 23.5 percent modern carbon and had apparent (uncorrected) ages of 11,970–20,980 years. Arsenic concentrations were above the maximum contaminant level of 10 micrograms per liter in groundwater from all wells, except those in Goldstone Basin and the two deepest wells in Langford Basin (LL04); likewise, fluoride concentrations were above the California maximum contaminant level of 2 mg/L in groundwater from most wells, except those in Goldstone and Superior Basins, the middle well in Langford Basin, middle and deep wells in two locations in Cronise Basin, and two wells in Nelson Basin.</p><p>Wellbore flow was simulated for each well by using an integrated-flow analysis tool, AnalyzeHOLE, to evaluate aquifer properties and heterogeneity. Horizontal layers in the model (hydrogeologic units) were defined by lithostratigraphic‐geophysical units, interpreted from lithologic and geophysical logs for each well, and were adjusted during calibration. The saturated hydraulic conductivities derived from the calibrated simulations ranged from less than 0.01 to 60 feet per day in Nelson, Goldstone, and Superior Basins.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195091","collaboration":"Prepared in cooperation with the U.S. Army Fort Irwin National Training Center","usgsCitation":"Nawikas, J.M., Densmore, J.N., O’Leary, D.R., Buesch, D.C., and Izbicki, J.A., 2019, Summary of hydrologic testing, wellbore-flow data, and expanded water-level and water-quality data, 2011–15, Fort Irwin National Training Center, San Bernardino County, California: U.S. Geological Survey Scientific Investigations Report 2019–5091, 161 p., https://doi.org/10.3133/sir20195091.","productDescription":"Report: xvi, 161 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-068711","costCenters":[{"id":154,"text":"California Water Science 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Bernardino\",\"state\":\"CA\"}}]}","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,<br><a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<p></p><ul><li>Abstract</li><li>Introduction</li><li>Methods of Study</li><li>Hydrologic Testing (Horizontal Hydraulic Conductivity and Aquifer Transmissivity)</li><li>Wellbore-Flow Data</li><li>Groundwater Levels, Gradients, and Water-Quality Data</li><li>Numerical Modeling</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix</li></ul><p></p>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-10-29","noUsgsAuthors":false,"publicationDate":"2019-10-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Nawikas, Joseph M. 0000-0001-9061-6674 jnawika@usgs.gov","orcid":"https://orcid.org/0000-0001-9061-6674","contributorId":5292,"corporation":false,"usgs":true,"family":"Nawikas","given":"Joseph","email":"jnawika@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":771321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Densmore, Jill N. 0000-0002-5345-6613 jidensmo@usgs.gov","orcid":"https://orcid.org/0000-0002-5345-6613","contributorId":1474,"corporation":false,"usgs":true,"family":"Densmore","given":"Jill","email":"jidensmo@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":771322,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Leary, David R. 0000-0001-9888-1739 doleary@usgs.gov","orcid":"https://orcid.org/0000-0001-9888-1739","contributorId":175504,"corporation":false,"usgs":true,"family":"O'Leary","given":"David R.","email":"doleary@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":774101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buesch, David C. 0000-0002-4978-5027 dbuesch@usgs.gov","orcid":"https://orcid.org/0000-0002-4978-5027","contributorId":1154,"corporation":false,"usgs":true,"family":"Buesch","given":"David","email":"dbuesch@usgs.gov","middleInitial":"C.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":774102,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":152474,"corporation":false,"usgs":true,"family":"Izbicki","given":"John","email":"jaizbick@usgs.gov","middleInitial":"A.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":774103,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70212131,"text":"70212131 - 2019 - Riverscape correlates for distribution of threatened spotfin chub Erimonax monachus in the Tennessee River Basin, USA","interactions":[],"lastModifiedDate":"2020-08-14T15:48:46.613143","indexId":"70212131","displayToPublicDate":"2019-10-30T10:40:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Riverscape correlates for distribution of threatened spotfin chub <i>Erimonax monachus</i> in the Tennessee River Basin, USA","title":"Riverscape correlates for distribution of threatened spotfin chub Erimonax monachus in the Tennessee River Basin, USA","docAbstract":"<p><span>Globally, aquatic biodiversity is imperiled at an increasing rate, especially in diversity hotspots such as the southeastern USA. The spotfin chub&nbsp;</span><i>Erimonax monachus</i><span>&nbsp;is a federally threatened minnow with a disjunct distribution resulting from numerous impoundments on the Tennessee River and its tributaries in the heart of the southeastern USA. Recovery actions required to remove federal protection for&nbsp;</span><i>E. monachus</i><span>&nbsp;are dependent on the establishment of additional populations within the historical range of the species, but little is known regarding macroscale habitat requirements that could guide conservation planning. We analyzed local- and network-scale watershed attributes to develop an ecological niche model (ENM) for&nbsp;</span><i>E. monachus</i><span>&nbsp;useful for directing conservation actions at sampled and unsampled sites across the Tennessee River Basin. We found&nbsp;</span><i>E. monachus</i><span>&nbsp;occurred most often in larger streams with large upstream catchment areas and minimal alteration to forested uplands, but all of these sites were in close proximity to high densities of downstream dams due to populations being restricted to large-stream habitat upstream of reservoirs. The ENM showed the highest probability of&nbsp;</span><i>E. monachus</i><span>&nbsp;occurrence among catchment locations with known extant populations; however, additional historical and previously unoccupied catchments showed potential for successful (re)introductions, provided that fine-scale habitats are appropriate. Our framework can be used to identify potential survey and (re)introduction sites for&nbsp;</span><i>E. monachus</i><span>&nbsp;as well as other rare riverine fishes and represents a method for identifying areas of high priority for conserving aquatic biodiversity.</span></p>","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/esr00983","usgsCitation":"Perkin, J., Gibbs, W.K., Ridgway, J.L., and Cook, S.B., 2019, Riverscape correlates for distribution of threatened spotfin chub Erimonax monachus in the Tennessee River Basin, USA: Endangered Species Research, v. 40, p. 91-105, https://doi.org/10.3354/esr00983.","productDescription":"15 p.","startPage":"91","endPage":"105","ipdsId":"IP-105866","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":459319,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr00983","text":"Publisher Index Page"},{"id":377530,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Georgia, Kentucky, Mississippi, North Carolina, Tennessee, Virginia","otherGeospatial":"Tennessee River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.450927734375,\n              34.07086232376631\n            ],\n            [\n              -81.112060546875,\n              34.07086232376631\n            ],\n            [\n              -81.112060546875,\n              37.09023980307208\n            ],\n            [\n              -88.450927734375,\n              37.09023980307208\n            ],\n            [\n              -88.450927734375,\n              34.07086232376631\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Perkin, Joshuah S.","contributorId":238286,"corporation":false,"usgs":false,"family":"Perkin","given":"Joshuah S.","affiliations":[{"id":47708,"text":"Department of Wildlife and Fisheries Sciences, Texas A&M University, College Station, TX","active":true,"usgs":false}],"preferred":false,"id":796237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gibbs, W. Keith","contributorId":238287,"corporation":false,"usgs":false,"family":"Gibbs","given":"W.","email":"","middleInitial":"Keith","affiliations":[{"id":47709,"text":"Department of Biology, Tennessee Technological University, Cookeville, TN","active":true,"usgs":false}],"preferred":false,"id":796238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ridgway, Josey Lee 0000-0003-4157-7255","orcid":"https://orcid.org/0000-0003-4157-7255","contributorId":238277,"corporation":false,"usgs":true,"family":"Ridgway","given":"Josey","email":"","middleInitial":"Lee","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":796239,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, S. Bradford","contributorId":238288,"corporation":false,"usgs":false,"family":"Cook","given":"S.","email":"","middleInitial":"Bradford","affiliations":[{"id":47709,"text":"Department of Biology, Tennessee Technological University, Cookeville, TN","active":true,"usgs":false}],"preferred":false,"id":796240,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70236851,"text":"70236851 - 2019 - Responses of the odd couple Carquinez, CA, suspension bridge during the Mw6.0 south Napa earthquake of August 24, 2014","interactions":[],"lastModifiedDate":"2022-09-20T11:41:41.118882","indexId":"70236851","displayToPublicDate":"2019-10-30T06:37:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12597,"text":"Journal of Civil Structural Health Monitoring","active":true,"publicationSubtype":{"id":10}},"title":"Responses of the odd couple Carquinez, CA, suspension bridge during the Mw6.0 south Napa earthquake of August 24, 2014","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>The behavior of the suspension bridge in Carquinez, CA, during the M<sub>w</sub>6.0 24 August 2014 South Napa, CA earthquake is studied. Utilizing data from an extensive array of accelerometers that recorded the earthquake-excited motions, dynamic characteristics such as modes, corresponding frequencies and damping are identified and compared with previous studies that used ambient data of the deck only plus mathematical models. Data are systematically analyzed for vertical, transverse and torsional motions of the deck, and transverse, longitudinal and torsional motions of the towers. The transverse and vertical fundamental mode frequencies of the deck are the same (0.17&nbsp;Hz) due to coupling. Higher frequencies for transverse and vertical coupled modes are also the same at 0.46&nbsp;Hz and 0.98&nbsp;Hz. Tower translational frequencies are 0.39&nbsp;Hz in the transverse direction and 0.46&nbsp;Hz in the longitudinal direction, and are also coupled with those of the deck. Coupling of torsional modes of the tower and deck is also identified. A beating effect is observed, particularly for torsional motions.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s13349-019-00363-6","usgsCitation":"Celebi, M., Ghahari, S.F., and Taciroglu, E., 2019, Responses of the odd couple Carquinez, CA, suspension bridge during the Mw6.0 south Napa earthquake of August 24, 2014: Journal of Civil Structural Health Monitoring, v. 9, p. 719-739, https://doi.org/10.1007/s13349-019-00363-6.","productDescription":"11 p.","startPage":"719","endPage":"739","ipdsId":"IP-064666","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":407043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Carquinez","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.4151611328125,\n              37.95286091815649\n            ],\n            [\n              -121.97021484374999,\n              37.95286091815649\n            ],\n            [\n              -121.97021484374999,\n              38.1777509666256\n            ],\n            [\n              -122.4151611328125,\n              38.1777509666256\n            ],\n            [\n              -122.4151611328125,\n              37.95286091815649\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2019-10-30","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":852358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ghahari, S. Farid","contributorId":168417,"corporation":false,"usgs":false,"family":"Ghahari","given":"S.","email":"","middleInitial":"Farid","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":852379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taciroglu, Ertugrul","contributorId":176616,"corporation":false,"usgs":false,"family":"Taciroglu","given":"Ertugrul","email":"","affiliations":[],"preferred":false,"id":852380,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70206263,"text":"70206263 - 2019 - Status of three-dimensional geological mapping and modeling activities in the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2019-10-29T09:01:20","indexId":"70206263","displayToPublicDate":"2019-10-29T09:01:12","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"chapter":"26","title":"Status of three-dimensional geological mapping and modeling activities in the U.S. Geological Survey","docAbstract":"The U.S. Geological Survey (USGS), created in 1879, is the national geological survey\nfor the United States and the sole science agency within its cabinet-level bureau, the\nDepartment of the Interior. The USGS has a broad mission, including: serving the Nation by\nproviding reliable scientific information to describe and understand the Earth; minimize loss of\nlife and property from natural disasters; manage water, biological, energy, and mineral\nresources; and enhance and protect quality of life. USGS scientific activities are organized\naround major topics, or Mission Areas, aligned with distinct science themes; three-dimensional\n(3-D) modelling typically supports research and project work within a specific Mission Area. The\nvastness, diversity, and complexity of the geological landscape of the United States has\nresulted in the creation of 3-D geological framework models that are local or regional in scale; a\nNational-scale 3-D model is only beginning to evolve. This paper summarizes 3-D geological\nmodeling at the USGS and does not discuss 3-D modeling that is conducted by other Federal\nagencies, state geological surveys, academia, or industry within the U.S. This paper updates\nand expands upon a similar status report of USGS 3-D modeling activities of Jacobsen et al.\n(2011).","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"AER/AGS Special Report 112","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Alberta Energy Regulator / Alberta Geological Survey","usgsCitation":"Sweetkind, D., Graymer, R., Higley, D., and Boyd, O.S., 2019, Status of three-dimensional geological mapping and modeling activities in the U.S. Geological Survey, 12 p.","productDescription":"12 p.","startPage":"278","endPage":"289","ipdsId":"IP-103302","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":368698,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368646,"type":{"id":15,"text":"Index Page"},"url":"https://ags.aer.ca/publications/SPE_112.html"},{"id":368697,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://ags.aer.ca/document/SPE/SPE_112_CH26.pdf"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sweetkind, Donald S. 0000-0003-0892-4796","orcid":"https://orcid.org/0000-0003-0892-4796","contributorId":210808,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":773971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graymer, Russell 0000-0003-4910-5682","orcid":"https://orcid.org/0000-0003-4910-5682","contributorId":207816,"corporation":false,"usgs":true,"family":"Graymer","given":"Russell","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":773972,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Higley, D.K. 0000-0001-8024-9954","orcid":"https://orcid.org/0000-0001-8024-9954","contributorId":90261,"corporation":false,"usgs":true,"family":"Higley","given":"D.K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":773973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyd, Oliver S. 0000-0001-9457-0407 olboyd@usgs.gov","orcid":"https://orcid.org/0000-0001-9457-0407","contributorId":140739,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":773974,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208138,"text":"70208138 - 2019 - Impact of down-dip rupture limit and high stress drop subevents on coseismic land-level change during Cascadia megathrust earthquakes","interactions":[],"lastModifiedDate":"2020-01-29T17:10:15","indexId":"70208138","displayToPublicDate":"2019-10-29T07:07:37","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":"Impact of down-dip rupture limit and high stress drop subevents on coseismic land-level change during Cascadia megathrust earthquakes","docAbstract":"Seismic hazard associated with Cascadia megathrust earthquakes is strongly dependent on the landward rupture extent and heterogeneous fault properties. We use 3-D numerical simulations and a seismic velocity model for Cascadia to estimate coseismic deformation due to ~M9 earthquake scenarios. Our earthquake source model is based on observations of the 2010 M8.8 Maule and 2011 M9.0 Tohoku earthquakes, which exhibited distinct strong-motion-generating subevents in the deeper portions of the fault. We compare our estimates for land-level change to paleoseismic estimates for coseismic coastal subsidence during the A.D. 1700 Cascadia earthquake. Results show that megathrust rupture extending to the 1 cm/yr locking contour provides a good match to geologic data, and along-strike variations in coastal subsidence can be produced by including strong-motion-generating subevents in the down-dip regions of the megathrust. This work demonstrates the potential to improve seismic hazard estimates for Cascadia earthquakes by comparing physics-based earthquake simulations with geologic observations.","language":"English","publisher":"American Geophysical Union","doi":"10.1785/0120190043","usgsCitation":"Wirth, E.A., and Frankel, A.D., 2019, Impact of down-dip rupture limit and high stress drop subevents on coseismic land-level change during Cascadia megathrust earthquakes: Geophysical Research Letters, v. 109, no. 6, p. 2187-2197, https://doi.org/10.1785/0120190043.","productDescription":"11 p.","startPage":"2187","endPage":"2197","ipdsId":"IP-099660","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":371679,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Cascadian Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -134.6044921875,\n              55.10351605801967\n            ],\n            [\n              -134.6923828125,\n              54.95238569063361\n            ],\n            [\n              -134.4287109375,\n              52.8823912222619\n            ],\n            [\n              -130.1220703125,\n              48.63290858589535\n            ],\n            [\n              -127.61718749999999,\n              45.336701909968134\n            ],\n            [\n              -124.541015625,\n              42.19596877629178\n            ],\n            [\n              -121.640625,\n              43.61221676817573\n            ],\n            [\n              -121.9482421875,\n              49.66762782262194\n            ],\n            [\n              -126.5185546875,\n              56.77680831656842\n            ],\n            [\n              -134.6044921875,\n              55.10351605801967\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"109","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Wirth, Erin A. 0000-0002-8592-4442","orcid":"https://orcid.org/0000-0002-8592-4442","contributorId":197865,"corporation":false,"usgs":true,"family":"Wirth","given":"Erin","email":"","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":780682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":146285,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":780683,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70208702,"text":"70208702 - 2019 - Quantitative guidance for efficient vertical flow measurements at the sediment-water interface using temperature-depth profiles","interactions":[],"lastModifiedDate":"2020-02-25T12:24:34","indexId":"70208702","displayToPublicDate":"2019-10-28T12:22:50","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative guidance for efficient vertical flow measurements at the sediment-water interface using temperature-depth profiles","docAbstract":"Upward discharge to surface water bodies can be quantified using analytical models based on temperature-depth (T-z) profiles. The use of sediment T-z profiles is attractive as discharge estimates can be obtained using point-in-time data that are collected inexpensively and rapidly. Previous studies have identified that T-z methods can only be applied at times of the year when there is significant difference between the streambed-water interface and deeper sediment temperatures (e.g., winter and summer). However, surface water temperatures also vary diurnally, and the influence of these variations on discharge estimates from T-z methods is poorly understood. For this study, synthetic T-z profiles were generated numerically using measured streambed interface temperature data to assess the influence of diurnal temperature variations on discharge estimation and provide insight into the suitable application of T-z methods. Results show that the time of day of data collection can have a substantial influence on vertical flux estimates using T-z methods. For low groundwater discharge fluxes (e.g. 0.1 m d-1), daily transience in streambed temperatures led to relatively large errors in estimated flow magnitude and direction. For higher discharge fluxes (1.5 m d-1), the influence of transient streambed temperatures on discharge estimates was strongly reduced. Discharge estimates from point-in-time T-z profiles were most accurate when the uppermost point in the T-z profile was near the bed interface daily mean (two time periods daily). Where temperature time series data are available, daily averaged T-z profiles can produce accurate discharge estimates across a wide range of discharge rates. Seasonality in shallow groundwater temperature generally had a negligible influence on vertical flow estimates. These findings can be used to plan field campaigns and provide guidance on the optimal application of T-z methods to quantify vertical groundwater discharge to surface water bodies.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13614","usgsCitation":"Irvine, D., Kurylyk, B., and Briggs, M.A., 2019, Quantitative guidance for efficient vertical flow measurements at the sediment-water interface using temperature-depth profiles: Hydrological Processes, v. 34, no. 3, p. 649-661, https://doi.org/10.1002/hyp.13614.","productDescription":"13 p.","startPage":"649","endPage":"661","ipdsId":"IP-112901","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":459337,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/hyp.13614","text":"External Repository"},{"id":372626,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Irvine, D.","contributorId":222757,"corporation":false,"usgs":false,"family":"Irvine","given":"D.","email":"","affiliations":[{"id":40595,"text":"Flinders University","active":true,"usgs":false}],"preferred":false,"id":783088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kurylyk, B.","contributorId":222758,"corporation":false,"usgs":false,"family":"Kurylyk","given":"B.","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":783089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":783087,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70227655,"text":"70227655 - 2019 - Tropical cyclones alter short-term activity patterns of a coastal seabird","interactions":[],"lastModifiedDate":"2022-01-25T14:21:45.013504","indexId":"70227655","displayToPublicDate":"2019-10-28T08:16:16","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Tropical cyclones alter short-term activity patterns of a coastal seabird","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Background</h3><p>Mobile organisms in marine environments are expected to modify their behavior in response to external stressors. Among environmental drivers of animal movement are long-term climatic indices influencing organism distribution and short-term meteorological events anticipated to alter acute movement behavior. However, few studies exist documenting the response of vagile species to meteorological anomalies in coastal and marine systems.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Methods</h3><p>Here we examined the movements of Eastern brown pelicans (<i>Pelecanus occidentalis carolinensis</i>) in the South Atlantic Bight in response to the passage of three separate hurricane events in 2 years. Pelicans (<i>n</i> = 32) were tracked with GPS satellite transmitters from four colonies in coastal South Carolina, USA, for the entirety of at least one storm event. An Expectation Maximization binary Clustering algorithm was used to discretize pelican behavioral states, which were pooled into ‘active’ versus ‘inactive’ states. Multinomial logistic regression was used to assess behavioral state probabilities in relation to changes in barometric pressure and wind velocity.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>Individual pelicans were more likely to remain inactive during tropical cyclone passage compared to baseline conditions generally, although responses varied by hurricane. When inactive, pelicans tended to seek shelter using local geomorphological features along the coastline such as barrier islands and estuarine systems.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>Our telemetry data showed that large subtropical seabirds such as pelicans may mitigate risk associated with spatially-extensive meteorological events by decreasing daily movements. Sheltering may be related to changes in barometric pressure and wind velocity, and represents a strategy common to several other classes of marine vertebrate predators for increasing survival probabilities.</p>","language":"English","publisher":"Springer Nature","doi":"10.1186/s40462-019-0178-0","usgsCitation":"Wilkinson, B.P., Satge, Y.G., Lamb, J.S., and Jodice, P.G., 2019, Tropical cyclones alter short-term activity patterns of a coastal seabird: Movement Ecology, v. 7, 30, 11 p., https://doi.org/10.1186/s40462-019-0178-0.","productDescription":"30, 11 p.","ipdsId":"IP-108429","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":459342,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-019-0178-0","text":"Publisher Index Page"},{"id":437290,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9D5IP0G","text":"USGS data release","linkHelpText":"Movement ecology of Brown Pelican in the South Atlantic Bight, 2017-2019"},{"id":394817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia, North Carolina, South Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.5947265625,\n              25.839449402063185\n            ],\n            [\n              -75.6298828125,\n              25.839449402063185\n            ],\n            [\n              -75.6298828125,\n              35.88905007936091\n            ],\n            [\n              -84.5947265625,\n              35.88905007936091\n            ],\n            [\n              -84.5947265625,\n              25.839449402063185\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2019-10-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilkinson, B. P.","contributorId":272128,"corporation":false,"usgs":false,"family":"Wilkinson","given":"B.","email":"","middleInitial":"P.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":831568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Satge, Y. G.","contributorId":272129,"corporation":false,"usgs":false,"family":"Satge","given":"Y.","email":"","middleInitial":"G.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":831569,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lamb, J. 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,{"id":70210233,"text":"70210233 - 2019 - Relationships between soil macroinvertebrates and nonnative feral pigs (Sus scrofa) in Hawaiian tropical montane wet forests","interactions":[],"lastModifiedDate":"2025-12-29T15:05:28.007871","indexId":"70210233","displayToPublicDate":"2019-10-28T06:55:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Relationships between soil macroinvertebrates and nonnative feral pigs (Sus scrofa) in Hawaiian tropical montane wet forests","docAbstract":"Nonnative feral pigs (Sus scrofa) are recognized throughout the New World as a highly significant introduced species in terms of ecosystem alteration. Similarly, nonnative soil macroinvertebrates (e.g. earthworms, ground beetles) invade and alter the structure and function of native habitats globally. However, the relationship between feral pigs and soil macroinvertebrates remains largely unknown. This study analyzed relationships between these taxa using nine sites located inside and outside of feral pig management units representing a ~ 25 year chronosequence of removal in tropical montane wet forests in Hawai‘i. Soil macroinvertebrates were sampled from plots categorized as: actively trampled by feral pigs, actively rooted by feral pigs, feral pigs present with no signs of recent activity, or feral pigs removed over time. In total, we found 13 families of primarily nonnative soil macroinvertebrates. Plots with active trampling correlated with lower total macroinvertebrate abundance, biomass, and family richness. Plots with active rooting were correlated with higher abundance of nonnative earthworms (Lumbricidae and Megascolicidae) and ground beetles (Carabidae). The abundance, biomass, and biodiversity of macroinvertebrates did not vary with time since feral pig removal. Collectively, these results indicate: (1) trampling by feral pigs negatively influences soil macroinvertebrates; (2) feral pigs either modify habitats while rooting thereby facilitating earthworm and ground beetle habitat use or selectively seek out target prey species of soil macroinvertebrates; and (3) removal of feral pigs has minimal impacts on soil macroinvertebrates over time. These results are important globally due to the broadly overlapping ranges of S. scrofa and nonnative macroinvertebrates.","language":"English","publisher":"Springer","doi":"10.1007/s10530-019-02117-3","usgsCitation":"Wehr, N., Litton, C.M., Lincoln, N.K., and Hess, S.C., 2019, Relationships between soil macroinvertebrates and nonnative feral pigs (Sus scrofa) in Hawaiian tropical montane wet forests: Biological Invasions, v. 22, p. 577-586, https://doi.org/10.1007/s10530-019-02117-3.","productDescription":"10 p.","startPage":"577","endPage":"586","ipdsId":"IP-099387","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":375010,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"22","noUsgsAuthors":false,"publicationDate":"2019-10-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Wehr, Nathaniel H. ","contributorId":205455,"corporation":false,"usgs":false,"family":"Wehr","given":"Nathaniel H. ","affiliations":[{"id":33542,"text":"Department of Natural Resources and Environmental Management, University of Hawai‘i at Mānoa, Honolulu, Hawaii","active":true,"usgs":false}],"preferred":false,"id":789690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Litton, Creighton M 0000-0001-5521-1188","orcid":"https://orcid.org/0000-0001-5521-1188","contributorId":224834,"corporation":false,"usgs":false,"family":"Litton","given":"Creighton","middleInitial":"M","affiliations":[{"id":40951,"text":"University of Hawai‘i - Mānoa","active":true,"usgs":false}],"preferred":false,"id":789691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lincoln, Noa K","contributorId":224835,"corporation":false,"usgs":false,"family":"Lincoln","given":"Noa","email":"","middleInitial":"K","affiliations":[{"id":40951,"text":"University of Hawai‘i - Mānoa","active":true,"usgs":false}],"preferred":false,"id":789692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hess, Steve C. 0000-0001-6403-9922 shess@usgs.gov","orcid":"https://orcid.org/0000-0001-6403-9922","contributorId":150366,"corporation":false,"usgs":true,"family":"Hess","given":"Steve","email":"shess@usgs.gov","middleInitial":"C.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":789693,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70249711,"text":"70249711 - 2019 - Modeling groundwater nitrate exposure in private wells of North Carolina for the Agricultural Health Study","interactions":[],"lastModifiedDate":"2023-10-25T11:47:05.759399","indexId":"70249711","displayToPublicDate":"2019-10-25T06:43:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Modeling groundwater nitrate exposure in private wells of North Carolina for the Agricultural Health Study","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0025\"><span>Unregulated private wells in the United States are susceptible to many groundwater contaminants. Ingestion of nitrate, the most common anthropogenic private well contaminant in the United States, can lead to the endogenous formation of N-nitroso-compounds, which are known human carcinogens. In this study, we expand upon previous efforts to model private well groundwater nitrate concentration in North Carolina by developing multiple machine learning models and testing against out-of-sample prediction. Our purpose was to develop exposure estimates in unmonitored areas for use in the Agricultural Health Study (AHS) cohort. Using approximately 22,000 private well nitrate measurements in North Carolina, we trained and tested continuous models including a censored maximum likelihood-based linear model, random forest, gradient boosted machine,&nbsp;support vector machine, neural networks, and kriging. Continuous nitrate models had low predictive performance (R</span><sup>2</sup> &lt; 0.33), so multiple random forest classification models were also trained and tested. The final classification approach predicted &lt;1 mg/L, 1–5 mg/L, and ≥5 mg/L using a random forest model with 58 variables and maximizing the Cohen's kappa statistic. The final model had an overall accuracy of 0.75 and high specificity for the higher two categories and high sensitivity for the lowest category. The results will be used for the categorical prediction of private well nitrate for AHS cohort participants that reside in North Carolina.</p></div></div><div id=\"ab0010\" class=\"abstract graphical\" lang=\"en\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.11.022","usgsCitation":"Messier, K.P., Wheeler, D.C., Flory, A., Jones, R., Patel, D., Nolan, B.T., and Ward, M.H., 2019, Modeling groundwater nitrate exposure in private wells of North Carolina for the Agricultural Health Study: Science of the Total Environment, v. 655, p. 512-519, https://doi.org/10.1016/j.scitotenv.2018.11.022.","productDescription":"8 p.","startPage":"512","endPage":"519","ipdsId":"IP-100177","costCenters":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":459368,"rank":0,"type":{"id":41,"text":"Open Access External Repository 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,{"id":70205517,"text":"sir20195104 - 2019 - Quantifying the eroded and deposited mass of mercury-contaminated sediment by using terrestrial laser scanning at the confluence of Humbug Creek and the South Yuba River, Nevada County, California, 2011–13","interactions":[],"lastModifiedDate":"2019-10-25T06:55:51","indexId":"sir20195104","displayToPublicDate":"2019-10-24T15:52:24","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":"2019-5104","displayTitle":"Quantifying the Eroded and Deposited Mass of Mercury-Contaminated Sediment by Using Terrestrial Laser Scanning at the Confluence of Humbug Creek and the South Yuba River, Nevada County, California, 2011–13","title":"Quantifying the eroded and deposited mass of mercury-contaminated sediment by using terrestrial laser scanning at the confluence of Humbug Creek and the South Yuba River, Nevada County, California, 2011–13","docAbstract":"<p>High-resolution, terrestrial laser scanning, also known as ground-based lidar (light detection and ranging), was used to quantify the volume of mercury-contaminated sediment eroded from an outcrop of historical placer-mining debris at the confluence of Humbug Creek and the South Yuba River in the Sierra Nevada foothills, about 17 kilometers northeast of Grass Valley, California, and delivered to a zone below an observed flood stage of the South Yuba River. Substantial quantities of mercury were used and lost to the environment from historical placer gold mining activities on the western slope of the Sierra Nevada, California, and recent studies have documented continued persistence of mercury and methylmercury concentrations in water, sediment, fish, and predatory invertebrates in the Yuba River drainage basin in relation to suspected mercury sources. To identify areas that have high levels of mercury contamination as possible remediation targets in the Yuba River drainage basin and other areas in the Sierra Nevada, the U.S. Geological Survey worked in cooperation with the Bureau of Land Management on this and other detailed studies. Malakoff Diggings, one of the largest hydraulic gold mines in the Sierra Nevada, is 3.5 kilometers north of the study site in the Humbug Creek subbasin.</p><p>Terrestrial laser scanning was used to produce centimeter-scale, three-dimensional maps of the complex outcrop surface, which was composed of an upper erosional area (cliff and over-steepened slope) and a lower depositional area (colluvial slope). The outcrop could not be mapped non-destructively or in sufficient detail by traditional surveying techniques. The study site, which was approximately 70 meters long, 30 meters wide and 20 meters high, was surveyed four times in 2 years (December 15, 2011; October 25, 2012; January 4, 2013; and November 22, 2013) to determine volumetric differences in the upper erosional and lower depositional areas between surveys. Measured changes in volume for the upper erosional area and lower depositional area were multiplied by the corresponding sediment density so that a mass-balance relationship, between the eroded and deposited sediment during each period, could be used to estimate the amount of mercury-contaminated sediment that was transported to below the base of the colluvial slope, where it could be mobilized by the South Yuba River during a flood having a 5-to-10-year recurrence interval. On December 2, 2012, a flood of this estimated magnitude reached the base of the colluvial slope.</p><p>Between the first and second surveys (December 15, 2011–October 25, 2012), an estimated mass of 18±9.2 kilograms of sediment was transported from steeper slopes to the gently sloping river bank below the base of the colluvial slope. Between the second and third surveys (October 25, 2012–January 4, 2013), an atmospheric river caused heavy precipitation at the study site during late November and early December 2012. This short-duration, high-intensity rain resulted in a large amount of erosion and deposition at the study site and also caused high streamflow (flood stage) in the South Yuba River. From October 2012 to January 2013, 51±31 kilograms of sediment was transported to below the base of the colluvial slope, that is, below the high-water mark of December 2, 2012. Between the third and fourth surveys (January 4, 2013–November 22, 2013), an additional 10±26 kilograms of sediment was transported to below the base of the colluvial slope. During the 24 months of the study, the total mass of sediment delivered below the base of the colluvial slope and the high-water mark of December 2, 2012, was 79±66 kilograms.</p><p>In any given year there is a 10–20-percent chance (5-to-10-year recurrence interval) of a flood equal to or greater than that of the December 2, 2012, flood, which could transport mercury-contaminated sediment at the study site into the South Yuba River. Hydraulically modeled estimates of the South Yuba River stage during floods having a 50- and 100-year recurrence interval (2- and 1-percent annual exceedance probability, respectively) indicated that resulting river stages could be 2.2–3.0 meters above the base of the colluvial slope, or 2.2–3.0 meters above the high-water mark of December 2, 2012. Such high river stages would be likely to inundate the lower half of the colluvial slope and mobilize a substantial volume of mercury-contaminated sediment to downstream areas.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195104","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Howle, J.F., Alpers, C.N., Kitchen, J., Bawden, G.W., and Bond, S., 2019, Quantifying the eroded and deposited mass of mercury-contaminated sediment by using terrestrial laser scanning at the confluence of Humbug Creek and the South Yuba River, Nevada County, California, 2011–13: U.S. Geological Survey Scientific Investigations Report 2019– 5104, 30 p., https://doi.org/10.3133/sir20195104.\n","productDescription":"Report: viii, 30 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-078829","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":368585,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5104/sir20195104.pdf","text":"Report","size":"6.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5104"},{"id":368586,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EOI74U","linkHelpText":"Terrestrial laser scanning data from the confluence of the South Yuba River and Humbug Creek, Nevada County, California, 2011–2013"},{"id":368584,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5104/coverthb.jpg"}],"country":"United States","state":"California","county":"Nevada 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href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,<br><a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a><br><a data-mce-href=\"https://usgs.gov\" href=\"https://usgs.gov\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<p></p><ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results of Volume Calculations</li><li>Visualization of Land-Surface Changes</li><li>Estimation of Flood Annual Exceedance Probabilities</li><li>Peak Discharge of December 2, 2012 (Atmospheric River)</li><li>Estimation of Annual Exceedance Probabilities</li><li>Summary</li><li>References Cited</li><li>Glossary</li><li>Appendix 1</li></ul><p></p>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-10-24","noUsgsAuthors":false,"publicationDate":"2019-10-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Howle, James F. 0000-0003-0491-6203 jfhowle@usgs.gov","orcid":"https://orcid.org/0000-0003-0491-6203","contributorId":2225,"corporation":false,"usgs":true,"family":"Howle","given":"James","email":"jfhowle@usgs.gov","middleInitial":"F.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kitchen, Jeffrey","contributorId":219173,"corporation":false,"usgs":true,"family":"Kitchen","given":"Jeffrey","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771486,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bawden, Gerald W. gbawden@usgs.gov","contributorId":1071,"corporation":false,"usgs":true,"family":"Bawden","given":"Gerald","email":"gbawden@usgs.gov","middleInitial":"W.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771484,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bond, Sandra 0000-0003-0522-5287 sbond@usgs.gov","orcid":"https://orcid.org/0000-0003-0522-5287","contributorId":219172,"corporation":false,"usgs":true,"family":"Bond","given":"Sandra","email":"sbond@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771485,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70206096,"text":"sir20195088 - 2019 - Comparison of groundwater-model construction methods, representations of glacial geology, model designs, and groundwater-model flow simulations within Elkhart County, Indiana","interactions":[],"lastModifiedDate":"2019-10-25T06:19:10","indexId":"sir20195088","displayToPublicDate":"2019-10-24T15:28:36","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":"2019-5088","displayTitle":"Comparison of Groundwater-Model Construction Methods, Representations of Glacial Geology, Model Designs, and Groundwater-Model Flow Simulations within Elkhart County, Indiana","title":"Comparison of groundwater-model construction methods, representations of glacial geology, model designs, and groundwater-model flow simulations within Elkhart County, Indiana","docAbstract":"<p>Automated data-processing methods allow hydrologists to efficiently incorporate digital well-record datasets into the construction of hydrostratigraphic frameworks for groundwater-flow models. The method selected to construct the hydrostratigraphic framework can affect the extent of geologic heterogeneity that can be included in the model. The detail generated from a hydrostratigraphic framework can affect groundwater simulation results. The effects of detail on model accuracy, groundwater-flow simulations, and particle-tracking simulations are described in this study. This report compares differences in hydrostratigraphic frameworks and results of groundwater models using (1) a method that incorporates more hydrologic judgment at the expense of using limited lithologic data and (2) a method that is more automated and uses all available lithologic data. The study additionally evaluates the effect of model discretization and inclusion of more (or less) geologic detail on simulation results.</p><p>Two methods were used to create hydrostratigraphic frameworks of glacial deposits in the St. Joseph River Basin. One method, referred to as the subjective method, manually identifies stratigraphic boundaries using a sample of well logs from State databases and uses two-dimensional kriging to create three model layers of the study area. Indicator kriging is used to define aquifer extent in each layer. The second method, referred to as the objective method, uses three-dimensional kriging to automatically create a detailed heterogeneous model of the study area using all wells logs from the State database. The objective method increases detail in the vertical by greatly increasing the number of computer groundwater model layers from 3 to 30. In Elkhart County, Indiana, a previously published model represents the product of the subjective method, and a newly calibrated model of the same area represents the product of the objective method.</p><p>An automated calibration procedure was used with the objective model (derived from the objective method) for Elkhart County. The two most-sensitive parameters for the Elkhart County objective model are horizontal hydraulic conductivity of the sand and the combined sand and gravel/gravel deposits. Vertical hydraulic conductivity of the fine-grained and intermediate-sized deposits could not be estimated, possibly indicating major flow paths are along a continuously connected series of sand and gravel deposits and not through a confining layer.</p><p>The statistics measuring model calibration accuracy for the objective model were slightly better than statistics for the subjective model (model derived from the subjective method) of Elkhart County, but the hydraulic conductivities and flow rates for the two models were different. The mean absolute errors between simulated and measured groundwater levels are 2.04 and 2.16 feet for the objective and subjective models, respectively. Simulated seepage losses from and groundwater discharges to measured stream reaches in the objective model were evenly balanced in terms of over and under simulations of measured values; the subjective model tended to overpredict measured groundwater discharge to streams. The overprediction may be related to the 58 percent greater total inflow and outflow through the subjective model. The greater flow rate through the subjective model results from higher horizontal hydraulic conductivities in the subjective model than in the objective model. Horizontal hydraulic conductivity ranged from 23.9 to 111 feet per day in the objective model and generally ranged from 170 to 370 feet per day in the subjective model. The improvement in calibration statistics for the objective model relative to the subjective model may be from increased detail in how the objective model represents the distribution of fine- and coarse-grained deposits. The improvement also could be associated with the difference in methods used to represent the continuity of the confining unit.</p><p>The effect of differences in horizontal hydraulic conductivity distributions between the two models for Elkhart County is evident in the groundwater-flow paths simulated by the objective and subjective models. At a withdrawal well&nbsp;location, the flow lines produced by the objective model indicate a wider contributing area than that for the subjective model. The discontinuous confining unit represented in the objective model provided the opportunity for groundwater flow to split into an upper and lower path. The split in flow simulated by the objective model at one location was independently supported by bromide concentrations in groundwater; the subjective model did not duplicate the split in flow.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195088","collaboration":"U.S. Geological Survey Groundwater Resources Program","usgsCitation":"Arihood, L.D., Lampe, D.C., Bayless, E.R., and Brown, S.E., 2019, Comparison of groundwater-model construction methods, representations of glacial geology, model designs, and groundwater-model flow simulations within Elkhart County, Indiana: U.S. Geological Survey Scientific Investigations Report 2019–5088, 44 p., https://doi.org/10.3133/sir20195088.","productDescription":"Report: ix, 44 p.; Data Release","numberOfPages":"58","onlineOnly":"Y","ipdsId":"IP-065522 ","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":368474,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5088/sir20195088.pdf","text":"Report","size":"4.28 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5088"},{"id":368475,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7QN65RW","text":"USGS data release ","description":"USGS Data Release","linkHelpText":"MODFLOW-2000 model used to illustrate the differences in flow paths and travel times when three-dimensional kriging is used to estimate the hydraulic conductivity distribution as compared to manual determinations of hydraulic conductivity distribution"},{"id":368473,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5088/coverthb.jpg"}],"country":"United States","state":"Indiana","county":"Elkhart County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-85.7874,41.7615],[-85.7591,41.7613],[-85.6606,41.7608],[-85.6589,41.699],[-85.6575,41.6122],[-85.6554,41.5251],[-85.6542,41.4733],[-85.6552,41.4384],[-85.7704,41.4377],[-85.8874,41.4379],[-86.0008,41.4375],[-86.059,41.4367],[-86.0594,41.4644],[-86.0593,41.474],[-86.0593,41.479],[-86.0592,41.4935],[-86.0598,41.4999],[-86.0624,41.7619],[-85.932,41.7623],[-85.7874,41.7615]]]},\"properties\":{\"name\":\"Elkhart\",\"state\":\"IN\"}}]}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/oki-water\" href=\"https://www.usgs.gov/centers/oki-water\">Ohio-Kentucky-Indiana Water Science Center</a><br>U.S. Geological Survey<br>5957 Lakeside Boulevard<br>Indianapolis, IN 46278-1996</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Comparison of Groundwater Model Construction Methods</li><li>Comparison of Representations of Glacial Geology</li><li>Comparison of Model Designs</li><li>Objective Model Calibration Procedure</li><li>Comparison of Groundwater-Model Flow Simulations</li><li>Summary and Conclusions</li><li>References</li></ul>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2019-10-24","noUsgsAuthors":false,"publicationDate":"2019-10-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Arihood, Leslie D. 0000-0001-5792-3699 larihood@usgs.gov","orcid":"https://orcid.org/0000-0001-5792-3699","contributorId":2357,"corporation":false,"usgs":true,"family":"Arihood","given":"Leslie","email":"larihood@usgs.gov","middleInitial":"D.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lampe, David C. 0000-0002-8904-0337 dclampe@usgs.gov","orcid":"https://orcid.org/0000-0002-8904-0337","contributorId":2441,"corporation":false,"usgs":true,"family":"Lampe","given":"David","email":"dclampe@usgs.gov","middleInitial":"C.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bayless, E. Randall 0000-0002-0357-3635 ebayless@usgs.gov","orcid":"https://orcid.org/0000-0002-0357-3635","contributorId":1518,"corporation":false,"usgs":true,"family":"Bayless","given":"E.","email":"ebayless@usgs.gov","middleInitial":"Randall","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":773563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Steven E. 0000-0002-1817-5357","orcid":"https://orcid.org/0000-0002-1817-5357","contributorId":219910,"corporation":false,"usgs":false,"family":"Brown","given":"Steven","email":"","middleInitial":"E.","affiliations":[{"id":13111,"text":"Illinois State Geological Survey, University of Illinois","active":true,"usgs":false}],"preferred":false,"id":773564,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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