Review of PRISM-I documents and the National inventory of mineral occurrences suggests that resources of U, Th, Nb, Ta, Be, rare earth elements (REEs) and fluorite are known in Mauritania and have been exploited in the past at the Bou Naga alkaline complex. Several different deposit types are indicated by the available data. Pegmatitic veins are recorded in several areas of the Archean and Paleoproterozoic portions of the Rgueïbat Shield and are prospective for resources of Li, Be, Nb, Ta, U, Th, and REEs. Over 150 beryl pegmatites are known in the Khnefissat and Inkebden areas of the Chami greenstone belt, and additional concentrations of pegmatites are known in the Guelb Nich Sud area of the Sebkhet Nich greenstone belt and in the northeastern part of the Amsaga Complex. Due to the small size of these deposits, they are unlikely to be economic unless additional value can be gained by processing contained minerals for their industrial uses.
\nPotential for incompatible element deposits associated with alkaline granites, syenites, and phonolites of the Tigsmat el Khadra Complex exists in the Paleoproterozoic portion of the Rgueïbat Shield in northern and northeastern Mauritania. The small alkaline complex at Tabatanet is associated with a magnetic and radiometric anomaly and consists of a probable vein-type deposit that extends for 500 m. The hyperalkaline granite at Tigsmat may have REE enrichments in associated placers but appears to be of low potential. Two other areas at el Mrhader and at el Hajar have indications of potential based on geophysics and high scintillometer readings. All of these prospects and past mining at Bou Naga indicate potential for mineralization related to alkaline igneous rocks.
\nA third major possibility for U, Th, REE, and other incompatible elements exists in association with carbonatite complexes, known to be present in Mauritania. Deposits of this type can host a wide array of valuable metals and industrial minerals (for example, Phalabora carbonatite complex, South Africa; Hicks Dome carbonatite complex and associated fluorite deposits of the Illinois-Kentucky Fluorspar District of the U.S. Midcontinent) and are most common in cratonic areas that have undergone rifting. PRISM-I studies suggest the presence of a carbonatite at Guelb er Richat and a coincident high thorium geophysical anomaly. The co-location of Guelb er Richat on prominent ENE trending structures with two separate swarms of kimberlite intrusions suggest that this structure is seated in the sub-Taoudeni cratonic basement and could localize the emplacement of additional carbonatite (and kimberlite) bodies.
\nUSGS review of PRISM-I data suggests that there is abundant documentation of the Bou Naga alkaline complex and to a lesser degree, the Guelb er Richat carbonatite complex, but that all other occurrences of U, Th, REE, and associated elements are poorly described, and poorly understood (Taylor, 2007)
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II) (Open File Report 2013-1280)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131280Q","collaboration":"Prepared in cooperation with the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania","usgsCitation":"Taylor, C.D., and Giles, S.A., 2015, Mineral potential for incompatible element deposits hosted in pegmatites, alkaline rocks, and carbonatites in the Islamic Republic of Mauritania (phase V, deliverable 87): U.S. Geological Survey Open-File Report 2013-1280, viii, 41 p., https://doi.org/10.3133/ofr20131280Q.","productDescription":"viii, 41 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-052718","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":319150,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131280Q.PNG"},{"id":319149,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1280/Final_Reports_English/deliverable_87-REE_Carbonatites-chapter_Q.pdf","text":"Chapter Q","linkFileType":{"id":1,"text":"pdf"}}],"country":"Mauritania","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-12.17075,14.61683],[-12.83066,15.30369],[-13.43574,16.03938],[-14.09952,16.3043],[-14.57735,16.59826],[-15.13574,16.58728],[-15.62367,16.36934],[-16.12069,16.45566],[-16.4631,16.13504],[-16.54971,16.67389],[-16.27055,17.16696],[-16.14635,18.10848],[-16.25688,19.09672],[-16.37765,19.59382],[-16.27784,20.09252],[-16.53632,20.56787],[-17.06342,20.99975],[-16.84519,21.33332],[-12.9291,21.32707],[-13.11875,22.77122],[-12.87422,23.28483],[-11.93722,23.37459],[-11.96942,25.93335],[-8.68729,25.88106],[-8.6844,27.39574],[-4.92334,24.97457],[-6.45379,24.95659],[-5.97113,20.64083],[-5.48852,16.3251],[-5.31528,16.20185],[-5.53774,15.50169],[-9.55024,15.4865],[-9.70026,15.26411],[-10.08685,15.33049],[-10.65079,15.13275],[-11.3491,15.41126],[-11.66608,15.38821],[-11.83421,14.7991],[-12.17075,14.61683]]]},\"properties\":{\"name\":\"Mauritania\"}}]}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56f26ccee4b0f59b85decce1","contributors":{"authors":[{"text":"Taylor, Cliff D. 0000-0001-6376-6298 ctaylor@usgs.gov","orcid":"https://orcid.org/0000-0001-6376-6298","contributorId":1283,"corporation":false,"usgs":true,"family":"Taylor","given":"Cliff","email":"ctaylor@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":622233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Giles, Stuart A. 0000-0002-8696-5078 sgiles@usgs.gov","orcid":"https://orcid.org/0000-0002-8696-5078","contributorId":1233,"corporation":false,"usgs":true,"family":"Giles","given":"Stuart","email":"sgiles@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":622234,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70156600,"text":"ofr20131280R - 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Gypsum, phosphate, salt, stone, sulfur, and ilmenite command the majority of the attention in the earlier geologic reports. (Ilmenite is evaluated in a separate U.S. Geological Survey report in the current study). Asbestos, arsenic, barite, fluorite, and kaolin are listed in indices (occurrence datasets) as potential mineral resources (Marsh and Anderson, 2015), but previous reports do not elaborate on their development potential. Beryl, described herein with the discussions of pegmatites, is also listed in indices of potential mineral resources, but has not been described in terms of its industrial mineral potential. Short discussions on the potential for cement (carbonate rocks), glass sand, peat, and sillimanite resources are included in this report.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II) (Open File Report 2013-1280)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131280R","collaboration":"Prepared in cooperation with the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania","usgsCitation":"Langer, W.H., 2015, Reported industrial minerals occurrences and permissive areas for other occurrences in the Islamic Republic of Mauritania, (phase V, deliverable 89): U.S. Geological Survey Open-File Report 2013-1280, viii, 22 p., https://doi.org/10.3133/ofr20131280R.","productDescription":"viii, 22 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052720","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":319101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131280R.PNG"},{"id":319100,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1280/Final_Reports_English/deliverable_89-Industrial_Minerals-chapter_R.pdf","text":"Chapter R","linkFileType":{"id":1,"text":"pdf"}}],"country":"Mauritania","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-12.17075,14.61683],[-12.83066,15.30369],[-13.43574,16.03938],[-14.09952,16.3043],[-14.57735,16.59826],[-15.13574,16.58728],[-15.62367,16.36934],[-16.12069,16.45566],[-16.4631,16.13504],[-16.54971,16.67389],[-16.27055,17.16696],[-16.14635,18.10848],[-16.25688,19.09672],[-16.37765,19.59382],[-16.27784,20.09252],[-16.53632,20.56787],[-17.06342,20.99975],[-16.84519,21.33332],[-12.9291,21.32707],[-13.11875,22.77122],[-12.87422,23.28483],[-11.93722,23.37459],[-11.96942,25.93335],[-8.68729,25.88106],[-8.6844,27.39574],[-4.92334,24.97457],[-6.45379,24.95659],[-5.97113,20.64083],[-5.48852,16.3251],[-5.31528,16.20185],[-5.53774,15.50169],[-9.55024,15.4865],[-9.70026,15.26411],[-10.08685,15.33049],[-10.65079,15.13275],[-11.3491,15.41126],[-11.66608,15.38821],[-11.83421,14.7991],[-12.17075,14.61683]]]},\"properties\":{\"name\":\"Mauritania\"}}]}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56f11b6ce4b0f59b85ddc4f8","contributors":{"authors":[{"text":"Langer, William H. blanger@usgs.gov","contributorId":1241,"corporation":false,"usgs":true,"family":"Langer","given":"William","email":"blanger@usgs.gov","middleInitial":"H.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":false,"id":622192,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70159516,"text":"ofr20131280S - 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The Microsoft Access 2010 database opens with the list of tables and forms held within the database and a Switchboard control panel from which to easily navigate through the existing mineral deposit data and to enter data for new deposit locations. The database is a helpful tool for the organization of the basic information about the mineral occurrences of Mauritania. It is suggested the database be administered by a single operator in order to avoid data overlap and override that can result from shared real time data entry. It is proposed that the mineral occurrence database be used in concert with the geologic maps, geophysics and geochemistry datasets, as a publicly advertised interface for the abundant geospatial information that the Mauritanian government can provide to interested parties.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II) (Open File Report 2013-1280)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131280S","collaboration":"Prepared in cooperation with the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania","usgsCitation":"Marsh, E.E., and Anderson, E.D., 2015, Database of mineral deposits in the Islamic Republic of Mauritania (phase V, deliverables 90 and 91): U.S. Geological Survey Open-File Report 2013-1280, Report: vi, 9 p.; Data; Metadata, https://doi.org/10.3133/ofr20131280S.","productDescription":"Report: vi, 9 p.; Data; Metadata","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052721","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":319111,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131280S.PNG"},{"id":319110,"rank":0,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1280/GIS_and_Maps/Chapter_S_deliverable_90-Database_of_mineral_deposits_in_the_Islamic_Republic_of_Mauritania/","text":"Data and Metadata"},{"id":319109,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1280/Final_Reports_English/deliverable_91-Mineral_Deposits_Database-chapter_S.pdf","text":"Chapter S","linkFileType":{"id":1,"text":"pdf"}}],"country":"Mauritania","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-12.17075,14.61683],[-12.83066,15.30369],[-13.43574,16.03938],[-14.09952,16.3043],[-14.57735,16.59826],[-15.13574,16.58728],[-15.62367,16.36934],[-16.12069,16.45566],[-16.4631,16.13504],[-16.54971,16.67389],[-16.27055,17.16696],[-16.14635,18.10848],[-16.25688,19.09672],[-16.37765,19.59382],[-16.27784,20.09252],[-16.53632,20.56787],[-17.06342,20.99975],[-16.84519,21.33332],[-12.9291,21.32707],[-13.11875,22.77122],[-12.87422,23.28483],[-11.93722,23.37459],[-11.96942,25.93335],[-8.68729,25.88106],[-8.6844,27.39574],[-4.92334,24.97457],[-6.45379,24.95659],[-5.97113,20.64083],[-5.48852,16.3251],[-5.31528,16.20185],[-5.53774,15.50169],[-9.55024,15.4865],[-9.70026,15.26411],[-10.08685,15.33049],[-10.65079,15.13275],[-11.3491,15.41126],[-11.66608,15.38821],[-11.83421,14.7991],[-12.17075,14.61683]]]},\"properties\":{\"name\":\"Mauritania\"}}]}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56f11b3ce4b0f59b85ddc34b","contributors":{"authors":[{"text":"Marsh, Erin E. 0000-0001-5245-9532 emarsh@usgs.gov","orcid":"https://orcid.org/0000-0001-5245-9532","contributorId":1250,"corporation":false,"usgs":true,"family":"Marsh","given":"Erin","email":"emarsh@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":622236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Eric D. 0000-0002-0138-6166 ericanderson@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-6166","contributorId":1733,"corporation":false,"usgs":true,"family":"Anderson","given":"Eric","email":"ericanderson@usgs.gov","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":622238,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70159517,"text":"ofr20131280T - 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In 1999, the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania implemented a program for the acquisition of the recommended basic geoscientific information, termed the first Projet de Renforcement Institutionnel du Secteur Minier (Project for Institutional Capacity Building in the Mining Sector, PRISM-I). As a result of the PRISM-I efforts, a great deal of new geological, geophysical, geochemical, remote sensing, and hydrological data became available for evaluation and synthesis. However, the Ministry of Petroleum, Energy, and Mines recognized that additional work was required to extract the full benefit of the data before it could be of greatest use to the international community and of benefit to the Mauritanian minerals and development sector.
\nTo achieve this benefit, the Ministry of Petroleum, Energy, and Mines implemented a second Projet de Renforcement Institutionnel du Secteur Minier (PRISM-II) in 2006 to consolidate, synthesize, and interpret all of the existing data, create a new 1:1,000,000 scale geologic map, and define the mineral resource potential of the country. A consortium in which the USGS was the lead scientific agency carried out the majority of the PRISM-II work. In 2008, the USGS Mauritania Minerals Project was interrupted due to political changes in Mauritania. PRISM-II work resumed in 2011, and was completed in 2013 with the delivery of over 40 separate written reports and plates, an access file containing the Mauritanian National Mineral Deposits Database, and an interactive GIS containing all of the multi-disciplinary data and interpretive areas of mineral resource potential in Mauritania.
\nThis report contains the USGS results of the PRISM-II Mauritania Minerals Project and is presented in cooperation with the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania. The Report is composed of separate chapters consisting of multidisciplinary interpretive reports with accompanying plates on the geology, structure, geochronology, geophysics, hydrogeology, geochemistry, remote sensing (Landsat TM and ASTER), and SRTM and ASTER digital elevation models of Mauritania. The syntheses of these multidisciplinary data formed the basis for additional chapters containing interpretive reports on 12 different commodities and deposit types known to occur in Mauritania, accompanied by countrywide mineral resource potential maps of each commodity/deposit type. The commodities and deposit types represented include: (1) Ni, Cu, PGE, and Cr deposits hosted in ultramafic rocks; (2) orogenic, Carlin-like, and epithermal gold deposits; (3) polymetallic Pb-Zn-Cu vein deposits; (4) sediment-hosted Pb-Zn-Ag deposits of the SEDEX and Mississippi Valley-type; (5) sediment-hosted copper deposits; ( 6) volcanogenic massive sulfide deposits; (7) iron oxide copper-gold deposits; (8) uranium deposits; (9) Algoma-, Superior-, and oolitic-type iron deposits; (10) shoreline Ti-Zr placer deposits; (11) incompatible element deposits hosted in pegmatites, alkaline rocks, and carbonatites, and; (12) industrial mineral deposits. Additional chapters include the Mauritanian National Mineral Deposits Database are accompanied by an explanatory text and the Mauritania Minerals Project GIS that contains all of the interpretive layers created by USGS scientists. Raw data not in the public domain may be obtained from the Ministry of Petroleum, Energy, and Mines in Nouakchott, Mauritania.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II) (Open File Report 2013-1280)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131280T","collaboration":"Prepared in cooperation with the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania","usgsCitation":"Horton, J.D., and Taylor, C.D., 2015, Geographic Information Systems (GIS) for la République Islamique de Mauritanie (PRISM-II) phase V (phase V, deliverable 92): U.S. Geological Survey Open-File Report 2013-1280, Data; Metadata; Readme, https://doi.org/10.3133/ofr20131280T.","productDescription":"Data; Metadata; Readme","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052725","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":319099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":319098,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1280/GIS_and_Maps/Chapter_T_deliverable_92-Basemap_GIS/","text":"Data, Metadata, and Readme File","linkFileType":{"id":1,"text":"pdf"}}],"country":"Mauritania","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-12.17075,14.61683],[-12.83066,15.30369],[-13.43574,16.03938],[-14.09952,16.3043],[-14.57735,16.59826],[-15.13574,16.58728],[-15.62367,16.36934],[-16.12069,16.45566],[-16.4631,16.13504],[-16.54971,16.67389],[-16.27055,17.16696],[-16.14635,18.10848],[-16.25688,19.09672],[-16.37765,19.59382],[-16.27784,20.09252],[-16.53632,20.56787],[-17.06342,20.99975],[-16.84519,21.33332],[-12.9291,21.32707],[-13.11875,22.77122],[-12.87422,23.28483],[-11.93722,23.37459],[-11.96942,25.93335],[-8.68729,25.88106],[-8.6844,27.39574],[-4.92334,24.97457],[-6.45379,24.95659],[-5.97113,20.64083],[-5.48852,16.3251],[-5.31528,16.20185],[-5.53774,15.50169],[-9.55024,15.4865],[-9.70026,15.26411],[-10.08685,15.33049],[-10.65079,15.13275],[-11.3491,15.41126],[-11.66608,15.38821],[-11.83421,14.7991],[-12.17075,14.61683]]]},\"properties\":{\"name\":\"Mauritania\"}}]}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56f11b55e4b0f59b85ddc41c","contributors":{"authors":[{"text":"Horton, John D. 0000-0003-2969-9073 jhorton@usgs.gov","orcid":"https://orcid.org/0000-0003-2969-9073","contributorId":1227,"corporation":false,"usgs":true,"family":"Horton","given":"John","email":"jhorton@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":622239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Cliff D. 0000-0001-6376-6298 ctaylor@usgs.gov","orcid":"https://orcid.org/0000-0001-6376-6298","contributorId":1283,"corporation":false,"usgs":true,"family":"Taylor","given":"Cliff","email":"ctaylor@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":622240,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70150368,"text":"70150368 - 2015 - Hydrodynamic modeling to evaluate the influence of constructed side-channel habitat on larval drift of pallid strugeon in the Lower Missouri River","interactions":[],"lastModifiedDate":"2017-05-16T12:10:20","indexId":"70150368","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Hydrodynamic modeling to evaluate the influence of constructed side-channel habitat on larval drift of pallid strugeon in the Lower Missouri River","docAbstract":"Larval drift is a critical phase of ontogeny for many species of lotic fishes. Downstream advection and dispersion of drifting larvae or eggs is controlled by the complex interaction of flow regime, channel planform, local channel morphology, and the resulting hydraulic gradients. In many regulated rivers, channel engineering and perturbations to the flow regime may disrupt natural dispersal processes and prevent successful recruitment of native fishes. Here, we explore the influence of flow regime and channel morphology on the downstream transport, dispersion, and retention of free embryos of pallid sturgeon (Scaphirhychus albus), an endangered species endemic to the Mississippi River basin and the focus of significant conservation effort on the Missouri River. The transition from drifting free embryo to exogenously feeding larvae has been identified as a potential life stage bottleneck for the pallid sturgeon. We use a two-dimensional hydrodynamic model to evaluate the sensitivity of drift and dispersion to in-channel navigation structures, constructed shallow-water habitat, and flood hydrology. In the simulations, larvae were treated as passively drifting particles and calculated retention times were used as an index of potential for settling and retention within specific environments. During low flows, retention of larvae is promoted by shallow, low velocity conditions provided by constructed side-channel habitats. At higher flows, retention is driven by overbank flows that inundate the floodplain. Based on insights gained from the analysis of field data and modeling outputs, we consider the effects of flow regime modifications or channel re-engineering on the distribution and retention of free embryos within the Lower Missouri River.
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In addition, because of significant recent advancements of availability, seamlessness, and validity of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) global elevation data, the U.S. Geological Survey (USGS) extended its efforts to include a higher resolution countrywide ASTER DEM as value added to the required Deliverable 63, which was limited to five areas within the country. Both SRTM and ASTER countrywide DEMs have been provided in ERDAS Imagine (.img) format that is also directly compatible with ESRI ArcMap, ArcGIS Explorer, and other GIS applications.
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Technology","active":true,"usgs":false}],"preferred":false,"id":622249,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bradley, Daniel N.","contributorId":149749,"corporation":false,"usgs":false,"family":"Bradley","given":"Daniel","email":"","middleInitial":"N.","affiliations":[{"id":17813,"text":"U.S. Geological Survey volunteer; now at Harvard University","active":true,"usgs":false}],"preferred":false,"id":622250,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jones, James V. III 0000-0002-6602-5935 jvjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6602-5935","contributorId":201245,"corporation":false,"usgs":true,"family":"Jones","given":"James","suffix":"III","email":"jvjones@usgs.gov","middleInitial":"V.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":622251,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bowring, Samuel","contributorId":149750,"corporation":false,"usgs":false,"family":"Bowring","given":"Samuel","email":"","affiliations":[{"id":17812,"text":"Dept. of Earth and Planetary Sciences, Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":622252,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70159524,"text":"ofr20131280A2 - 2015 - Structure map of Mauritania (phase V, deliverables 52a and 52b)","interactions":[{"subject":{"id":70159524,"text":"ofr20131280A2 - 2015 - Structure map of Mauritania (phase V, deliverables 52a and 52b)","indexId":"ofr20131280A2","publicationYear":"2015","noYear":false,"chapter":"A2","title":"Structure map of Mauritania (phase V, deliverables 52a and 52b)"},"predicate":"IS_PART_OF","object":{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V","indexId":"ofr20131280","publicationYear":"2015","noYear":false,"title":"Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V"},"id":1}],"isPartOf":{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V","indexId":"ofr20131280","publicationYear":"2015","noYear":false,"title":"Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V"},"lastModifiedDate":"2022-12-08T16:46:56.782656","indexId":"ofr20131280A2","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1280","chapter":"A2","title":"Structure map of Mauritania (phase V, deliverables 52a and 52b)","docAbstract":"In 1996, at the request of the Government of the Islamic Republic of Mauritania, a team of U.S. Geological Survey (USGS) scientists produced a strategic plan for the acquisition, improvement and modernization of multidisciplinary sets of data to support the growth of the Mauritanian minerals sector and to highlight the geological and mineral exploration potential of the country. In 1999, the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania implemented a program for the acquisition of the recommended basic geoscientific information, termed the first Projet de Renforcement Institutionnel du Secteur Minier (Project for Institutional Capacity Building in the Mining Sector, PRISM-I). As a result of the PRISM-I efforts, a great deal of new geological, geophysical, geochemical, remote sensing, and hydrological data became available for evaluation and synthesis. However, the Ministry of Petroleum, Energy, and Mines recognized that additional work was required to extract the full benefit of the data before it could be of greatest use to the international community and of benefit to the Mauritanian minerals and development sector.
\nTo achieve this benefit, the Ministry of Petroleum, Energy, and Mines implemented a second Projet de Renforcement Institutionnel du Secteur Minier (PRISM-II) in 2006 to consolidate, synthesize, and interpret all of the existing data, create a new 1:1,000,000 scale geologic map, and define the mineral resource potential of the country. A consortium in which the USGS was the lead scientific agency carried out the majority of the PRISM-II work. In 2008, the USGS Mauritania Minerals Project was interrupted due to political changes in Mauritania. PRISM-II work resumed in 2011, and was completed in 2013 with the delivery of over 40 separate written reports and plates, an access file containing the Mauritanian National Mineral Deposits Database, and an interactive GIS containing all of the multi-disciplinary data and interpretive areas of mineral resource potential in Mauritania.
\nThis report contains the USGS results of the PRISM-II Mauritania Minerals Project and is presented in cooperation with the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania. The Report is composed of separate chapters consisting of multidisciplinary interpretive reports with accompanying plates on the geology, structure, geochronology, geophysics, hydrogeology, geochemistry, remote sensing (Landsat TM and ASTER), and SRTM and ASTER digital elevation models of Mauritania. The syntheses of these multidisciplinary data formed the basis for additional chapters containing interpretive reports on 12 different commodities and deposit types known to occur in Mauritania, accompanied by countrywide mineral resource potential maps of each commodity/deposit type. The commodities and deposit types represented include: (1) Ni, Cu, PGE, and Cr deposits hosted in ultramafic rocks; (2) orogenic, Carlin-like, and epithermal gold deposits; (3) polymetallic Pb-Zn-Cu vein deposits; (4) sediment-hosted Pb-Zn-Ag deposits of the SEDEX and Mississippi Valley-type; (5) sediment-hosted copper deposits; ( 6) volcanogenic massive sulfide deposits; (7) iron oxide copper-gold deposits; (8) uranium deposits; (9) Algoma-, Superior-, and oolitic-type iron deposits; (10) shoreline Ti-Zr placer deposits; (11) incompatible element deposits hosted in pegmatites, alkaline rocks, and carbonatites, and; (12) industrial mineral deposits. Additional chapters include the Mauritanian National Mineral Deposits Database are accompanied by an explanatory text and the Mauritania Minerals Project GIS that contains all of the interpretive layers created by USGS scientists. Raw data not in the public domain may be obtained from the Ministry of Petroleum, Energy, and Mines in Nouakchott, Mauritania.
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\nTo achieve this benefit, the Ministry of Petroleum, Energy, and Mines implemented a second Projet de Renforcement Institutionnel du Secteur Minier (PRISM-II) in 2006 to consolidate, synthesize, and interpret all of the existing data, create a new 1:1,000,000 scale geologic map, and define the mineral resource potential of the country. A consortium in which the USGS was the lead scientific agency carried out the majority of the PRISM-II work. In 2008, the USGS Mauritania Minerals Project was interrupted due to political changes in Mauritania. PRISM-II work resumed in 2011, and was completed in 2013 with the delivery of over 40 separate written reports and plates, an access file containing the Mauritanian National Mineral Deposits Database, and an interactive GIS containing all of the multi-disciplinary data and interpretive areas of mineral resource potential in Mauritania.
\nThis report contains the USGS results of the PRISM-II Mauritania Minerals Project and is presented in cooperation with the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania. The Report is composed of separate chapters consisting of multidisciplinary interpretive reports with accompanying plates on the geology, structure, geochronology, geophysics, hydrogeology, geochemistry, remote sensing (Landsat TM and ASTER), and SRTM and ASTER digital elevation models of Mauritania. The syntheses of these multidisciplinary data formed the basis for additional chapters containing interpretive reports on 12 different commodities and deposit types known to occur in Mauritania, accompanied by countrywide mineral resource potential maps of each commodity/deposit type. The commodities and deposit types represented include: (1) Ni, Cu, PGE, and Cr deposits hosted in ultramafic rocks; (2) orogenic, Carlin-like, and epithermal gold deposits; (3) polymetallic Pb-Zn-Cu vein deposits; (4) sediment-hosted Pb-Zn-Ag deposits of the SEDEX and Mississippi Valley-type; (5) sediment-hosted copper deposits; ( 6) volcanogenic massive sulfide deposits; (7) iron oxide copper-gold deposits; (8) uranium deposits; (9) Algoma-, Superior-, and oolitic-type iron deposits; (10) shoreline Ti-Zr placer deposits; (11) incompatible element deposits hosted in pegmatites, alkaline rocks, and carbonatites, and; (12) industrial mineral deposits. Additional chapters include the Mauritanian National Mineral Deposits Database are accompanied by an explanatory text and the Mauritania Minerals Project GIS that contains all of the interpretive layers created by USGS scientists. Raw data not in the public domain may be obtained from the Ministry of Petroleum, Energy, and Mines in Nouakchott, Mauritania.
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Assessment of critical loads, which are the maximum exposure to pollution an area can receive without adverse effects on sensitive ecosystems, requires accurate deposition estimates. However, deposition is difficult and expensive to measure in high-elevation wilderness, and spatial patterns in N and S deposition in these areas remain poorly quantified. In this study, ion-exchange resin (IER) collectors were used to measure dissolved inorganic N (DIN) and S deposition during June 2006–September 2007 at approximately 20 alpine/subalpine sites spanning the Continental Divide in Rocky Mountain National Park. Results indicated good agreement between deposition estimated from IER collectors and commonly used wet + dry methods during summer, but poor agreement during winter. Snowpack sampling was found to be a more accurate way of quantifying DIN and S deposition during winter. Summer DIN deposition was significantly greater on the east side of the park than on the west side (25–50%; p ≤ 0.03), consistent with transport of pollutants to the park from urban and agricultural areas to the east. Sources of atmospheric nitrate (NO3−) were examined using N isotopes. The average δ15N of NO3− from IER collectors was 3.5‰ higher during winter than during summer (p < 0.001), indicating a seasonal shift in the relative importance of regional NOxsources, such as coal combustion and vehicular sources of atmospheric NO3−. There were no significant differences in δ15N of NO3− between east and west sides of the park during summer or winter (p = 0.83), indicating that the two areas may have similar sources of atmospheric NO3−. Results from this study indicate that a combination of IER collectors and snowpack sampling can be used to characterize spatial variability in DIN and S deposition in high-elevation wilderness areas. These data can improve our ability to model critical loads by filling gaps in geographic coverage of deposition monitoring/modeling programs and thus may enable policy makers to better protect sensitive natural resources in Class 1 Wilderness areas.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.atmosenv.2014.11.027","usgsCitation":"Clow, D.W., Roop, H., Nanus, L., Fenn, M., and Sexstone, G.A., 2015, Spatial patterns of atmospheric deposition of nitrogen and sulfur using ion-exchange resin collectors in Rocky Mountain National Park, USA: Atmospheric Environment, v. 101, p. 149-157, https://doi.org/10.1016/j.atmosenv.2014.11.027.","productDescription":"9 p.","startPage":"149","endPage":"157","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059891","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":472435,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.atmosenv.2014.11.027","text":"Publisher Index Page"},{"id":324950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountain National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.90545654296875,\n 40.12429084831405\n ],\n [\n -105.90545654296875,\n 40.561807971278185\n ],\n [\n -105.4522705078125,\n 40.561807971278185\n ],\n [\n -105.4522705078125,\n 40.12429084831405\n ],\n [\n -105.90545654296875,\n 40.12429084831405\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"101","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5780cebfe4b08116168223c1","contributors":{"authors":[{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roop, Heidi","contributorId":64581,"corporation":false,"usgs":true,"family":"Roop","given":"Heidi","email":"","affiliations":[],"preferred":false,"id":519581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nanus, Leora","contributorId":27930,"corporation":false,"usgs":true,"family":"Nanus","given":"Leora","email":"","affiliations":[],"preferred":false,"id":519580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fenn, Mark","contributorId":119427,"corporation":false,"usgs":true,"family":"Fenn","given":"Mark","affiliations":[],"preferred":false,"id":519582,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sexstone, Graham A. 0000-0001-8913-0546 sexstone@usgs.gov","orcid":"https://orcid.org/0000-0001-8913-0546","contributorId":5159,"corporation":false,"usgs":true,"family":"Sexstone","given":"Graham","email":"sexstone@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":641979,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70174890,"text":"70174890 - 2015 - Contrasting fish assemblages in free-flowing and impounded tributaries to the Upper Delaware River: Implications for conserving biodiversity","interactions":[],"lastModifiedDate":"2016-08-03T16:26:44","indexId":"70174890","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Contrasting fish assemblages in free-flowing and impounded tributaries to the Upper Delaware River: Implications for conserving biodiversity","docAbstract":"The Neversink River and the Beaver Kill in southeastern New York are major tributaries to the Delaware River, the longest undammed river east of the Mississippi. While the Beaver Kill is free flowing for its entire length, the Neversink River is subdivided by the Neversink Reservoir, which likely affects the diversity of local fish assemblages and health of aquatic ecosystems. The reservoir is an important part of the New York City waster-supply system that provides drinking water to more than 9 million people. Fish population and community data from recent quantitative surveys at comparable sites in both basins were assessed to characterize the differences between free-flowing and impounded rivers and the extent of reservoir effects to improve our capacity to define ecosystems responses that two modified flow-release programs (implemented in 2007 and 2011) should produce in the Neversink River. In general, the continuum of changes in fish assemblages which normally occur between headwaters and mouth was relatively uninterrupted in the Beaver Kill, but disrupted by the mid-basin impoundment in the Neversink River. Fish assemblages were also adversely affected at several acidified sites in the upper Neversink River, but not at most sites assessed herein. The reservoir clearly excluded diadromous species from the upper sub-basin, but it also substantially reduced community richness, diversity, and biomass at several mid-basin sites immediately downstream from the impoundment. There results will aid future attempts to determine if fish assemblages respond to more natural, yet highly regulated, flow regimes in the Neversink River. More important, knowledge gained from this study can help optimize use of valuable water resources while promoting species of special concern, such as American eel (Anguilla rostrata) and conserving biodiversity in Catskill Mountain streams.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Advances in Environmental Research","language":"English","publisher":"Nova Science Publishers, Inc.","collaboration":"The Nature Conservancy; Pike County PA; USGS","usgsCitation":"Baldigo, B.P., Delucia, M., Keller, W.D., Schuler, G.E., Apse, C.D., and Moberg, T., 2015, Contrasting fish assemblages in free-flowing and impounded tributaries to the Upper Delaware River: Implications for conserving biodiversity, chap. of Advances in Environmental Research, v. 45, p. 43-70.","productDescription":"28 p.","startPage":"43","endPage":"70","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044340","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":326081,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325458,"type":{"id":15,"text":"Index Page"},"url":"https://www.novapublishers.com/catalog/index.php"}],"volume":"45","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a315bce4b006cb45558a48","contributors":{"authors":[{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":643012,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Delucia, Mari-Beth","contributorId":173018,"corporation":false,"usgs":false,"family":"Delucia","given":"Mari-Beth","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":643015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keller, Walter D.","contributorId":14813,"corporation":false,"usgs":true,"family":"Keller","given":"Walter","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":643017,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schuler, George E.","contributorId":37005,"corporation":false,"usgs":true,"family":"Schuler","given":"George","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":643014,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Apse, Colin D.","contributorId":54680,"corporation":false,"usgs":true,"family":"Apse","given":"Colin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":643013,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moberg, Tara","contributorId":173019,"corporation":false,"usgs":false,"family":"Moberg","given":"Tara","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":643016,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193473,"text":"70193473 - 2015 - Continuous monitoring of meteorological conditions and movement of a deep-seated, persistently moving rockslide along Interstate Route 79 near Pittsburgh","interactions":[],"lastModifiedDate":"2017-11-11T13:38:27","indexId":"70193473","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3029,"text":"Pennsylvania Geology","active":true,"publicationSubtype":{"id":10}},"title":"Continuous monitoring of meteorological conditions and movement of a deep-seated, persistently moving rockslide along Interstate Route 79 near Pittsburgh","docAbstract":"Natural resource management agencies have traditionally used statewide mail surveys to gather information from anglers, but cost savings and faster returns occur using the internet. This study examined mail or internet fishery survey return rates and associated data by license type of South Dakota resident anglers. Junior anglers (ages 16-18; Junior Combination license) had the lowest internet and mail survey return rates (20% and 28%, respectively), followed by adult anglers (ages 19-64; Adult Fishing and Adult Combination licenses; 30% and 39%, respectively), and senior anglers (ages 65+; Senior Fishing and Senior Combination licenses; 42% and 66%, respectively). The three age groups were significantly different on three email use characteristics (shared email, frequency of use, and comfort level). The primary reason for not responding to the internet survey was not receiving or noticing the email request, and secondarily, being too busy to respond. Although having a relatively low response rate, data collected by the internet compared to follow-up mail surveys of internet non-respondents were similar.
","language":"English","publisher":"South Dakota Academy of Science","usgsCitation":"Gigliotti, L.M., and Henderson, K., 2015, Reasons anglers did not respond to an internet survey and evaluation of data quality: Proceedings of the South Dakota Academy of Science, v. 94, p. 155-170.","productDescription":"16 p.","startPage":"155","endPage":"170","ipdsId":"IP-052005","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348682,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":348681,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://sdaos.org/page/2/?s=Year%3A+2015"}],"volume":"94","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fec7e4b06e28e9c2534d","contributors":{"authors":[{"text":"Gigliotti, Larry M. 0000-0002-1693-5113 lgigliotti@usgs.gov","orcid":"https://orcid.org/0000-0002-1693-5113","contributorId":3906,"corporation":false,"usgs":true,"family":"Gigliotti","given":"Larry","email":"lgigliotti@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henderson, Kjetil R.","contributorId":191695,"corporation":false,"usgs":false,"family":"Henderson","given":"Kjetil R.","affiliations":[],"preferred":false,"id":721779,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70188389,"text":"70188389 - 2015 - Thin‐ or thick‐skinned faulting in the Yakima fold and thrust belt (WA)? Constraints from kinematic modeling of the saddle mountains anticline","interactions":[],"lastModifiedDate":"2017-06-07T15:03:37","indexId":"70188389","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Thin‐ or thick‐skinned faulting in the Yakima fold and thrust belt (WA)? Constraints from kinematic modeling of the saddle mountains anticline","docAbstract":"The Yakima fold and thrust belt (YFTB) deforms the Columbia River Basalt Group flows of Washington State. The YFTB fault geometries and slip rates are crucial parameters for seismic‐hazard assessments of nearby dams and nuclear facilities, yet there are competing models for the subsurface fault geometry involving shallowly rooted versus deeply rooted fault systems. The YFTB is also thought to be analogous to the evenly spaced wrinkle ridges found on other terrestrial planets. Using seismic reflection data, borehole logs, and surface geologic data, we tested two proposed kinematic end‐member thick‐ and thin‐skinned fault models beneath the Saddle Mountains anticline of the YFTB. Observed subsurface geometry can be produced by 600–800 m of heave along a single listric‐reverse fault or ∼3.5 km of slip along two superposed low‐angle thrust faults. Both models require decollement slip between 7 and 9 km depth, resulting in greater fault areas than sometimes assumed in hazard assessments. Both models require initial slip much earlier than previously thought and may provide insight into the subsurface geometry of analogous comparisons to wrinkle ridges observed on other planets.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120140207","usgsCitation":"Casale, G., and Pratt, T.L., 2015, Thin‐ or thick‐skinned faulting in the Yakima fold and thrust belt (WA)? Constraints from kinematic modeling of the saddle mountains anticline: Bulletin of the Seismological Society of America, v. 105, no. 2A, p. 745-752, https://doi.org/10.1785/0120140207.","productDescription":"7 p.","startPage":"745","endPage":"752","ipdsId":"IP-051433","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":342268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Yakima fold and thrust belt","volume":"105","issue":"2A","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-27","publicationStatus":"PW","scienceBaseUri":"593910b2e4b0764e6c5e88af","contributors":{"authors":[{"text":"Casale, Gabriele 0000-0003-1371-753X","orcid":"https://orcid.org/0000-0003-1371-753X","contributorId":192726,"corporation":false,"usgs":false,"family":"Casale","given":"Gabriele","email":"","affiliations":[{"id":27675,"text":"Appalachian State University, Boone, NC","active":true,"usgs":false}],"preferred":false,"id":697513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":697512,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189247,"text":"70189247 - 2015 - Levelling and merging of two discrete national-scale geochemical databases: A case study showing the surficial expression of metalliferous black shales","interactions":[],"lastModifiedDate":"2017-07-06T15:15:09","indexId":"70189247","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Levelling and merging of two discrete national-scale geochemical databases: A case study showing the surficial expression of metalliferous black shales","docAbstract":"Government-sponsored, national-scale, soil and sediment geochemical databases are used to estimate regional and local background concentrations for environmental issues, identify possible anthropogenic contamination, estimate mineral endowment, explore for new mineral deposits, evaluate nutrient levels for agriculture, and establish concentration relationships with human or animal health. Because of these different uses, it is difficult for any single database to accommodate all the needs of each client. Smith et al. (2013, p. 168) reviewed six national-scale soil and sediment geochemical databases for the United States (U.S.) and, for each, evaluated “its appropriateness as a national-scale geochemical database and its usefulness for national-scale geochemical mapping.” Each of the evaluated databases has strengths and weaknesses that were listed in that review.
Two of these U.S. national-scale geochemical databases are similar in their sample media and collection protocols but have different strengths—primarily sampling density and analytical consistency. This project was implemented to determine whether those databases could be merged to produce a combined dataset that could be used for mineral resource assessments. The utility of the merged database was tested to see whether mapped distributions could identify metalliferous black shales at a national scale.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"27th International Applied Geochemistry Symposium","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"27th International Applied Geochemistry Symposium","conferenceLocation":"Tucson, AZ","language":"English","publisher":"The Association of Applied Geochemists","usgsCitation":"Smith, S.M., Neilson, R.T., and Giles, S.A., 2015, Levelling and merging of two discrete national-scale geochemical databases: A case study showing the surficial expression of metalliferous black shales, in 27th International Applied Geochemistry Symposium, Tucson, AZ, 9 p.","productDescription":"9 p.","ipdsId":"IP-062624","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":343441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595f4c40e4b0d1f9f057e356","contributors":{"authors":[{"text":"Smith, Steven M. 0000-0003-3591-5377 smsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-3591-5377","contributorId":1460,"corporation":false,"usgs":true,"family":"Smith","given":"Steven","email":"smsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":703715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neilson, Ryan T.","contributorId":194323,"corporation":false,"usgs":false,"family":"Neilson","given":"Ryan","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":703716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Giles, Stuart A. 0000-0002-8696-5078 sgiles@usgs.gov","orcid":"https://orcid.org/0000-0002-8696-5078","contributorId":1233,"corporation":false,"usgs":true,"family":"Giles","given":"Stuart","email":"sgiles@usgs.gov","middleInitial":"A.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":703717,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70135981,"text":"70135981 - 2015 - Preliminary analysis of suspended sediment rating curves for the Kalamazoo River and its tributaries from Marshall to Kalamazoo, Michigan","interactions":[],"lastModifiedDate":"2024-05-13T14:26:31.658809","indexId":"70135981","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Preliminary analysis of suspended sediment rating curves for the Kalamazoo River and its tributaries from Marshall to Kalamazoo, Michigan","docAbstract":"Suspended sediment concentration (SSC) rating curves for the Kalamazoo River and its tributaries from Marshall to Kalamazoo, Michigan, U.S.A., were developed based on measured data. The slopes of the atsite SSC rating curves were of two general types: either increasing or decreasing with increasing discharges. By examining the basin characteristics and flow patterns, streams with negative SSC rating curve slopes were associated with groundwater-dominated streams and those with positive slope terms were associated with surface-water dominated streams. A panel regression with fixed-effects analysis was applied to the pooled atsite data according to various grouping criteria. The results from the subgroups which considered groundwater and surface-water dominance, seasonality, and dam effects showed better fit than the at-site SSC rating curves did. It was assumed that the rating curve slopes for sites in each subgroup were the same but their intercepts varied from site to site. The groundwater and surface-water dominance division was used as the basis for estimating SSC at ungaged sites. The study was conducted as a component of hydrodynamic modeling under the Enbridge Line 6B pipeline oil-spill recovery activities.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference 2015","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"10th Federal Interagency Sedimentation Conference, 5th Federal Interagnecy Hydrologic Modeling Conference","conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, NV","language":"English","usgsCitation":"Soong, D.T., Hoard, C.J., Fitzpatrick, F., and Zelt, R.B., 2015, Preliminary analysis of suspended sediment rating curves for the Kalamazoo River and its tributaries from Marshall to Kalamazoo, Michigan, in Proceedings of the Joint Federal Interagency Conference 2015, Reno, NV, April 19-23, 2015, p. 1246-1257.","productDescription":"12 p.","startPage":"1246","endPage":"1257","ipdsId":"IP-061462","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":296822,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/past/","linkFileType":{"id":5,"text":"html"}},{"id":351831,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeec0de4b0da30c1bfc6bd","contributors":{"authors":[{"text":"Soong, David T. dsoong@usgs.gov","contributorId":2230,"corporation":false,"usgs":true,"family":"Soong","given":"David","email":"dsoong@usgs.gov","middleInitial":"T.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":537011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoard, Christopher J. 0000-0003-2337-506X cjhoard@usgs.gov","orcid":"https://orcid.org/0000-0003-2337-506X","contributorId":191767,"corporation":false,"usgs":true,"family":"Hoard","given":"Christopher","email":"cjhoard@usgs.gov","middleInitial":"J.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":537013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075 fafitzpa@usgs.gov","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":127794,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","email":"fafitzpa@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":537012,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zelt, Ronald B. 0000-0001-9024-855X rbzelt@usgs.gov","orcid":"https://orcid.org/0000-0001-9024-855X","contributorId":300,"corporation":false,"usgs":true,"family":"Zelt","given":"Ronald","email":"rbzelt@usgs.gov","middleInitial":"B.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537014,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191888,"text":"70191888 - 2015 - Ground-based thermal imaging of stream surface temperatures: Technique and evaluation","interactions":[],"lastModifiedDate":"2018-01-26T11:09:56","indexId":"70191888","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","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":"Ground-based thermal imaging of stream surface temperatures: Technique and evaluation","docAbstract":"We evaluated a ground-based handheld thermal imaging system for measuring water temperatures using data from eight southwestern USA streams and rivers. We found handheld thermal imagers could provide considerably more spatial information on water temperature (for our unit one image = 19,600 individual temperature measurements) than traditional methods could supply without a prohibitive amount of effort. Furthermore, they could provide measurements of stream surface temperature almost instantaneously compared with most traditional handheld thermometers (e.g., >20 s/reading). Spatial temperature analysis is important for measurement of subtle temperature differences across waterways, and identification of warm and cold groundwater inputs. Handheld thermal imaging is less expensive and equipment intensive than airborne thermal imaging methods and is useful under riparian canopies. Disadvantages of handheld thermal imagers include their current higher expense than thermometers, their susceptibility to interference when used incorrectly, and their slightly lower accuracy than traditional temperature measurement methods. Thermal imagers can only measure surface temperature, but this usually corresponds to subsurface temperatures in well-mixed streams and rivers. Using thermal imaging in select applications, such as where spatial investigations of water temperature are needed, or in conjunction with stationary temperature data loggers or handheld electronic or liquid-in-glass thermometers to characterize stream temperatures by both time and space, could provide valuable information on stream temperature dynamics. These tools will become increasingly important to fisheries biologists as costs continue to decline.
","language":"English","publisher":"Wiley","doi":"10.1080/02755947.2015.1091410","usgsCitation":"Bonar, S.A., and Petre, S.J., 2015, Ground-based thermal imaging of stream surface temperatures: Technique and evaluation: North American Journal of Fisheries Management, v. 35, no. 6, p. 1209-1218, https://doi.org/10.1080/02755947.2015.1091410.","productDescription":"10 p.","startPage":"1209","endPage":"1218","ipdsId":"IP-057935","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":350648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-02","publicationStatus":"PW","scienceBaseUri":"5a6c4c98e4b06e28e9cabb16","contributors":{"authors":[{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":713546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petre, Sally J.","contributorId":197664,"corporation":false,"usgs":false,"family":"Petre","given":"Sally","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":725876,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70191883,"text":"70191883 - 2015 - Phenological response of an Arizona dryland forest to short-term climatic extremes","interactions":[],"lastModifiedDate":"2017-10-18T16:36:22","indexId":"70191883","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Phenological response of an Arizona dryland forest to short-term climatic extremes","docAbstract":"Baseline information about dryland forest phenology is necessary to accurately anticipate future ecosystem shifts. The overarching goal of our study was to investigate the variability of vegetation phenology across a dryland forest landscape in response to climate alterations. We analyzed the influence of site characteristics and climatic conditions on the phenological patterns of an Arizona, USA, ponderosa pine (Pinus ponderosa) forest during a five-year period (2005 to 2009) that encompassed extreme wet and dry precipitation regimes. We assembled 80 synthetic Landsat images by applying the spatial and temporal adaptive reflectance fusion method (STARFM) to 500 m MODIS and 30 m Landsat-5 Thematic Mapper (TM) data. We tested relationships between site characteristics and the timing of peak Normalized Difference Vegetation Index (NDVI) to assess the effect of climatic stress on the green-up of individual pixels during or after the summer monsoon. Our results show that drought-induced stress led to a fragmented phenological response that was highly dependent on microsite parameters, as both the spatial autocorrelation of peak timing and the number of significant site variables increased during the drought year. Pixels at lower elevations and with higher proportions of herbaceous vegetation were more likely to exhibit dynamic responses to changes in precipitation conditions. Our study demonstrates the complexity of responses within dryland forest ecosystems and highlights the need for standardized monitoring of phenology trends in these areas. The spatial and temporal variability of phenological signals may provide a quantitative solution to the problem of how to evaluate dryland land surface trends across time.
","language":"English","publisher":"Multidisciplinary Digital Publishing Institute (MDPI)","doi":"10.3390/rs70810832","usgsCitation":"Walker, J.J., de Beurs, K., and Wynne, R., 2015, Phenological response of an Arizona dryland forest to short-term climatic extremes: Remote Sensing, v. 7, no. 8, p. 10832-10855, https://doi.org/10.3390/rs70810832.","productDescription":"24 p.","startPage":"10832","endPage":"10855","ipdsId":"IP-063470","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":472391,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs70810832","text":"Publisher Index Page"},{"id":346919,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.25,\n 34.5\n ],\n [\n -111.25,\n 34.5\n ],\n [\n -111.25,\n 35.5\n ],\n [\n -112.25,\n 35.5\n ],\n [\n -112.25,\n 34.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-24","publicationStatus":"PW","scienceBaseUri":"59e8683ce4b05fe04cd4d241","contributors":{"authors":[{"text":"Walker, Jessica J. 0000-0002-3225-0317 jjwalker@usgs.gov","orcid":"https://orcid.org/0000-0002-3225-0317","contributorId":169458,"corporation":false,"usgs":true,"family":"Walker","given":"Jessica","email":"jjwalker@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":713533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Beurs, Kirsten","contributorId":197460,"corporation":false,"usgs":false,"family":"de Beurs","given":"Kirsten","email":"","affiliations":[],"preferred":false,"id":713534,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wynne, Randolph","contributorId":197461,"corporation":false,"usgs":false,"family":"Wynne","given":"Randolph","email":"","affiliations":[],"preferred":false,"id":713535,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191852,"text":"70191852 - 2015 - Estimating bighorn sheep (Ovis canadensis) abundance using noninvasive sampling at a mineral lick within a National Park Wilderness Area","interactions":[],"lastModifiedDate":"2017-10-18T14:11:06","indexId":"70191852","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Estimating bighorn sheep (Ovis canadensis) abundance using noninvasive sampling at a mineral lick within a National Park Wilderness Area","title":"Estimating bighorn sheep (Ovis canadensis) abundance using noninvasive sampling at a mineral lick within a National Park Wilderness Area","docAbstract":"Conservation of species requires accurate population estimates. We used genetic markers from feces to determine bighorn sheep abundance for a herd that was hypothesized to be declining and in need of population status monitoring. We sampled from a small but accessible portion of the population's range where animals naturally congregate at a natural mineral lick to test whether we could accurately estimate population size by sampling from an area where animals concentrate. We used mark-recapture analysis to derive population estimates, and compared estimates from this smaller spatial sampling to estimates from sampling of the entire bighorn sheep range. We found that estimates were somewhat comparable; in 2009, the mineral lick sample and entire range sample differed by 20 individuals, and in 2010 they differed by only one individual. However, we captured 13 individuals in the entire range sample that were not captured at the mineral lick, and thus violated a model assumption that all individuals had an equal opportunity of being captured. This eliminated the possibility of inferring a total population estimate from just animals visiting the mineral lick, but because estimates were relatively similar, monitoring at the mineral lick can provide a useful index for management and conservation. We compared our results to a radio-collar study conducted in 2003–2004 and confirmed that the population remained stable since 2004. Our population estimates were 78 (CI 62–114) in 2009 and 95 (CI 77–131) in 2010. Between 7 and 11 sampling dates were needed to achieve a CV of 20% for population estimates, assuming a capture probability between 0.09 and 0.13. We relied on citizen science volunteers to maximize data collection and reduce costs; 71% of all fecal samples were collected by volunteers, compared to 29% collected by paid staff. We conclude that our technique provides a useful monitoring tool for managers. The technique could be tested and applied in similar populations where animals congregate with high fidelity at a mineral lick or other area.
","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/064.075.0206","usgsCitation":"Schoenecker, K.A., Watry, M.K., Ellison, L.E., Schwarz, M.A., and Luikart, G., 2015, Estimating bighorn sheep (Ovis canadensis) abundance using noninvasive sampling at a mineral lick within a National Park Wilderness Area: Western North American Naturalist, v. 75, no. 2, p. 181-191, https://doi.org/10.3398/064.075.0206.","productDescription":"11 p.","startPage":"181","endPage":"191","ipdsId":"IP-053380","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":502522,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol75/iss2/5","text":"External Repository"},{"id":346872,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountain National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.71662902832031,\n 40.40774498177989\n ],\n [\n -105.45433044433594,\n 40.40774498177989\n ],\n [\n -105.45433044433594,\n 40.51171103483292\n ],\n [\n -105.71662902832031,\n 40.51171103483292\n ],\n [\n -105.71662902832031,\n 40.40774498177989\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"75","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e8683de4b05fe04cd4d245","contributors":{"authors":[{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X schoeneckerk@usgs.gov","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":2001,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn","email":"schoeneckerk@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":713398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watry, Mary Kay","contributorId":141021,"corporation":false,"usgs":false,"family":"Watry","given":"Mary","email":"","middleInitial":"Kay","affiliations":[{"id":7237,"text":"NPS, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":713399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellison, Laura E. ellisonl@usgs.gov","contributorId":3220,"corporation":false,"usgs":true,"family":"Ellison","given":"Laura","email":"ellisonl@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":713400,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwarz, Michael A.","contributorId":197399,"corporation":false,"usgs":false,"family":"Schwarz","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":713401,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luikart, Gordon","contributorId":124531,"corporation":false,"usgs":false,"family":"Luikart","given":"Gordon","affiliations":[{"id":5091,"text":"Flathead Lake Biological Station, Fish and Wildlife Genomics Group, Division of Biological Sciences, University of Montana, Polson, MT 59860, USA","active":true,"usgs":false}],"preferred":false,"id":713402,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70191007,"text":"70191007 - 2015 - Combining state-and-transition simulations and species distribution models to anticipate the effects of climate change","interactions":[],"lastModifiedDate":"2017-09-20T14:54:24","indexId":"70191007","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3893,"text":"AIMS Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Combining state-and-transition simulations and species distribution models to anticipate the effects of climate change","docAbstract":"State-and-transition simulation models (STSMs) are known for their ability to explore the combined effects of multiple disturbances, ecological dynamics, and management actions on vegetation. However, integrating the additional impacts of climate change into STSMs remains a challenge. We address this challenge by combining an STSM with species distribution modeling (SDM). SDMs estimate the probability of occurrence of a given species based on observed presence and absence locations as well as environmental and climatic covariates. Thus, in order to account for changes in habitat suitability due to climate change, we used SDM to generate continuous surfaces of species occurrence probabilities. These data were imported into ST-Sim, an STSM platform, where they dictated the probability of each cell transitioning between alternate potential vegetation types at each time step. The STSM was parameterized to capture additional processes of vegetation growth and disturbance that are relevant to a keystone species in the Greater Yellowstone Ecosystem—whitebark pine (Pinus albicaulis). We compared historical model runs against historical observations of whitebark pine and a key disturbance agent (mountain pine beetle, Dendroctonus ponderosae), and then projected the simulation into the future. Using this combination of correlative and stochastic simulation models, we were able to reproduce historical observations and identify key data gaps. Results indicated that SDMs and STSMs are complementary tools, and combining them is an effective way to account for the anticipated impacts of climate change, biotic interactions, and disturbances, while also allowing for the exploration of management options.
","language":"English","publisher":"AIM Press","doi":"10.3934/environsci.2015.2.400","usgsCitation":"Miller, B.W., Frid, L., Chang, T., Piekielek, N.B., Hansen, A.J., and Morisette, J.T., 2015, Combining state-and-transition simulations and species distribution models to anticipate the effects of climate change: AIMS Environmental Science, v. 2, no. 2, p. 400-426, https://doi.org/10.3934/environsci.2015.2.400.","productDescription":"27 p.","startPage":"400","endPage":"426","ipdsId":"IP-065083","costCenters":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"links":[{"id":472396,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3934/environsci.2015.2.400","text":"Publisher Index Page"},{"id":345943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59c37e3be4b091459a631703","contributors":{"authors":[{"text":"Miller, Brian W. 0000-0003-1716-1161","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":196603,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":710899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frid, Leonardo","contributorId":196604,"corporation":false,"usgs":false,"family":"Frid","given":"Leonardo","email":"","affiliations":[],"preferred":false,"id":710900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chang, Tony","contributorId":191992,"corporation":false,"usgs":false,"family":"Chang","given":"Tony","email":"","affiliations":[],"preferred":false,"id":710901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Piekielek, N. B.","contributorId":127648,"corporation":false,"usgs":false,"family":"Piekielek","given":"N.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":710902,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansen, Andrew J.","contributorId":196605,"corporation":false,"usgs":false,"family":"Hansen","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":710903,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morisette, Jeffrey T. 0000-0002-0483-0082 morisettej@usgs.gov","orcid":"https://orcid.org/0000-0002-0483-0082","contributorId":307,"corporation":false,"usgs":true,"family":"Morisette","given":"Jeffrey","email":"morisettej@usgs.gov","middleInitial":"T.","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":710898,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70182177,"text":"70182177 - 2015 - High-speed limnology: Using advanced sensors to investigate spatial variability in biogeochemistry and hydrology","interactions":[],"lastModifiedDate":"2023-03-13T17:30:15.126103","indexId":"70182177","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"High-speed limnology: Using advanced sensors to investigate spatial variability in biogeochemistry and hydrology","docAbstract":"Advanced sensor technology is widely used in aquatic monitoring and research. Most applications focus on temporal variability, whereas spatial variability has been challenging to document. We assess the capability of water chemistry sensors embedded in a high-speed water intake system to document spatial variability. This new sensor platform continuously samples surface water at a range of speeds (0 to >45 km h–1) resulting in high-density, mesoscale spatial data. These novel observations reveal previously unknown variability in physical, chemical, and biological factors in streams, rivers, and lakes. By combining multiple sensors into one platform, we were able to detect terrestrial–aquatic hydrologic connections in a small dystrophic lake, to infer the role of main-channel vs backwater nutrient processing in a large river and to detect sharp chemical changes across aquatic ecosystem boundaries in a stream/lake complex. Spatial sensor data were verified in our examples by comparing with standard lab-based measurements of selected variables. Spatial fDOM data showed strong correlation with wet chemistry measurements of DOC, and optical NO3 concentrations were highly correlated with lab-based measurements. High-frequency spatial data similar to our examples could be used to further understand aquatic biogeochemical fluxes, ecological patterns, and ecosystem processes, and will both inform and benefit from fixed-site data.
","language":"English","publisher":"ACS Publications","doi":"10.1021/es504773x","usgsCitation":"Crawford, J.T., Loken, L., Casson, N.J., Smith, C., Stone, A.G., and Winslow, L.A., 2015, High-speed limnology: Using advanced sensors to investigate spatial variability in biogeochemistry and hydrology: Environmental Science & Technology, v. 49, no. 1, p. 442-450, https://doi.org/10.1021/es504773x.","productDescription":"9 p.","startPage":"442","endPage":"450","ipdsId":"IP-060665","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":472436,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/es504773x","text":"Publisher Index Page"},{"id":335832,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Lake Mendota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.40173033599879,\n 43.07347645438287\n ],\n [\n -89.38023693230257,\n 43.078382654645424\n ],\n [\n -89.36176603850066,\n 43.09800352757304\n ],\n [\n -89.36848272715585,\n 43.11614723923495\n ],\n [\n -89.37721442240766,\n 43.115656939360235\n ],\n [\n -89.36411687953026,\n 43.12938385089856\n ],\n [\n -89.37284857478208,\n 43.13575601287684\n ],\n [\n -89.4020661704318,\n 43.1313445868372\n ],\n [\n -89.40508868032673,\n 43.15486851517488\n ],\n [\n -89.41986539536839,\n 43.1507034790599\n ],\n [\n -89.43766462030436,\n 43.148253325220736\n ],\n [\n -89.439343792468,\n 43.130364226724964\n ],\n [\n -89.45479217637498,\n 43.114921482182126\n ],\n [\n -89.4866964474873,\n 43.10707605564116\n ],\n [\n -89.48568894418901,\n 43.08868439660202\n ],\n [\n -89.4645313749251,\n 43.07642022167718\n ],\n [\n -89.43262710381278,\n 43.08917491253359\n ],\n [\n -89.42826125618721,\n 43.07936384756135\n ],\n [\n -89.42053706423373,\n 43.074948355706226\n ],\n [\n -89.40173033599879,\n 43.07347645438287\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"49","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-08","publicationStatus":"PW","scienceBaseUri":"58ac0e30e4b0ce4410e7d600","chorus":{"doi":"10.1021/es504773x","url":"http://dx.doi.org/10.1021/es504773x","publisher":"American Chemical Society (ACS)","authors":"Crawford John T., Loken Luke C., Casson Nora J., Smith Colin, Stone Amanda G., Winslow Luke A.","journalName":"Environmental Science & Technology","publicationDate":"1/6/2015","auditedOn":"3/4/2016","publiclyAccessibleDate":"12/8/2014"},"contributors":{"authors":[{"text":"Crawford, John T. 0000-0003-4440-6945 jtcrawford@usgs.gov","orcid":"https://orcid.org/0000-0003-4440-6945","contributorId":4081,"corporation":false,"usgs":true,"family":"Crawford","given":"John","email":"jtcrawford@usgs.gov","middleInitial":"T.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":669891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loken, Luke C. lloken@usgs.gov","contributorId":169218,"corporation":false,"usgs":true,"family":"Loken","given":"Luke C.","email":"lloken@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":669892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casson, Nora J.","contributorId":169271,"corporation":false,"usgs":false,"family":"Casson","given":"Nora","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":669893,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Colin","contributorId":181885,"corporation":false,"usgs":false,"family":"Smith","given":"Colin","affiliations":[],"preferred":false,"id":669894,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stone, Amanda G.","contributorId":181886,"corporation":false,"usgs":false,"family":"Stone","given":"Amanda","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":669895,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Winslow, Luke A. 0000-0002-8602-5510 lwinslow@usgs.gov","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":5919,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke","email":"lwinslow@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":669896,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193151,"text":"70193151 - 2015 - Observational changes to the natural flow regime in Lee Creek in relation to altered precipitation patterns and its implication for fishes","interactions":[],"lastModifiedDate":"2017-11-21T12:46:10","indexId":"70193151","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3894,"text":"Proceedings of the Oklahoma Academy of Science","active":true,"publicationSubtype":{"id":10}},"title":"Observational changes to the natural flow regime in Lee Creek in relation to altered precipitation patterns and its implication for fishes","docAbstract":"The natural flow regime is important for structuring streams and their resident ichthyofauna and alterations to this regime can have cascading consequences. We sought to determine if changes in hydrology could be attributed to changes in precipitation in a minimally altered watershed (Lee Creek). The stream flow regime was analyzed using Indicators of Hydrologic Alteration (IHA) software, and data from a nearby climate station were used to summarize concurrent precipitation patterns. We discovered that Lee Creek hydrology had become flashier (i.e., increased frequency of extreme events of shorter duration) since 1992 coincident with changes in precipitation patterns. Specifically, our results show fewer but more intense rain events within the Lee Creek watershed. Our research provides evidence that climate-induced changes to the natural flow regime are currently underway and additional research on its effects on the fish community is warranted.
","language":"English","publisher":"Oklahoma Academy of Science","usgsCitation":"Gatlin, M.R., Long, J.M., and Turton, D.J., 2015, Observational changes to the natural flow regime in Lee Creek in relation to altered precipitation patterns and its implication for fishes: Proceedings of the Oklahoma Academy of Science, v. 95, p. 135-146.","productDescription":"12 p.","startPage":"135","endPage":"146","ipdsId":"IP-063504","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Oklahoma","otherGeospatial":"Lee Creek watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.62661743164062,\n 35.464025575544674\n ],\n [\n -94.28123474121094,\n 35.464025575544674\n ],\n [\n -94.28123474121094,\n 35.74874138089811\n ],\n [\n -94.62661743164062,\n 35.74874138089811\n ],\n [\n -94.62661743164062,\n 35.464025575544674\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"95","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fec8e4b06e28e9c2535b","contributors":{"authors":[{"text":"Gatlin, Michael R.","contributorId":141324,"corporation":false,"usgs":false,"family":"Gatlin","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":723033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turton, Donald J.","contributorId":200683,"corporation":false,"usgs":false,"family":"Turton","given":"Donald","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":723034,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70162036,"text":"70162036 - 2015 - Field measurement and analysis of climatic factors affecting dune mobility near Grand Falls on the Navajo Nation, southwestern United States","interactions":[],"lastModifiedDate":"2016-01-13T09:30:12","indexId":"70162036","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Field measurement and analysis of climatic factors affecting dune mobility near Grand Falls on the Navajo Nation, southwestern United States","docAbstract":"Aeolian sand covers extensive areas of the Navajo Nation in the southwestern United States. Much of this sand is currently stabilized by vegetation, although many drier parts of these Native lands also have active and partly active dunes. Current prolonged drought conditions that started in the mid-1990s are producing significant changes in dune mobility. Reactivation of regional aeolian deposits due to drought or increasing aridity from rising temperatures resulting from climate change could have serious consequences for human and animal populations, agriculture, grazing, and infrastructure. To understand and document the current and future potential for mobility, seasonally repeated surveys were used to track the location of multiple active barchan dunes. By utilizing Real-Time Kinematic GPS field surveys and simultaneously collecting in-situ meteorological data, it is possible to examine climatic parameters and seasonal variations that affect dune mobility and their relative influences. Through analysis of the recorded data, we examined the fit of various climate parameters, and demonstrate that under the current prolonged drought, wind power is the dominant factor controlling dune mobility.
","language":"English","publisher":"Geomorphology","doi":"10.1016/j.geomorph.2014.08.023","usgsCitation":"Bogle, R., Redsteer, M.H., and Vogel, J.M., 2015, Field measurement and analysis of climatic factors affecting dune mobility near Grand Falls on the Navajo Nation, southwestern United States: Geomorphology, v. 228, p. 41-51, https://doi.org/10.1016/j.geomorph.2014.08.023.","productDescription":"11 p.","startPage":"41","endPage":"51","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039908","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":314260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Falls","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.37939453125,\n 35.18727767598898\n ],\n [\n -111.37939453125,\n 36.99816565700228\n ],\n [\n -109.0557861328125,\n 36.99816565700228\n ],\n [\n -109.0557861328125,\n 35.18727767598898\n ],\n [\n -111.37939453125,\n 35.18727767598898\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"228","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5697833be4b039675d00a6e0","chorus":{"doi":"10.1016/j.geomorph.2014.08.023","url":"http://dx.doi.org/10.1016/j.geomorph.2014.08.023","publisher":"Elsevier BV","authors":"Bogle Rian, Redsteer Margaret Hiza, Vogel John","journalName":"Geomorphology","publicationDate":"1/2015","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Bogle, Rian rbogle@usgs.gov","contributorId":1915,"corporation":false,"usgs":true,"family":"Bogle","given":"Rian","email":"rbogle@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":588387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Redsteer, Margaret Hiza 0000-0003-2851-2502","orcid":"https://orcid.org/0000-0003-2851-2502","contributorId":54335,"corporation":false,"usgs":true,"family":"Redsteer","given":"Margaret","email":"","middleInitial":"Hiza","affiliations":[],"preferred":false,"id":588386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vogel, John M. 0000-0002-8226-1188 jvogel@usgs.gov","orcid":"https://orcid.org/0000-0002-8226-1188","contributorId":3167,"corporation":false,"usgs":true,"family":"Vogel","given":"John","email":"jvogel@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":588385,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173666,"text":"70173666 - 2015 - Accounting for imperfect detection in Hill numbers for biodiversity studies","interactions":[],"lastModifiedDate":"2016-06-08T10:04:36","indexId":"70173666","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Accounting for imperfect detection in Hill numbers for biodiversity studies","docAbstract":"This paper reviews methods for testing the toxicity of metals associated with freshwater sediments, linking toxic effects with metal exposure and bioavailability, and developing sediment quality guidelines. The most broadly applicable approach for characterizing metal toxicity is whole-sediment toxicity testing, which attempts to simulate natural exposure conditions in the laboratory. Standard methods for whole-sediment testing can be adapted to test a wide variety of taxa. Chronic sediment tests that characterize effects on multiple endpoints (e.g., survival, growth, and reproduction) can be highly sensitive indicators of adverse effects on resident invertebrate taxa. Methods for testing of aqueous phases (pore water, overlying water, or elutriates) are used less frequently. Analysis of sediment toxicity data focuses on statistical comparisons between responses in sediments from the study area and responses in one or more uncontaminated reference sediments. For large or complex study areas, a greater number of reference sediments is recommended to reliably define the normal range of responses in uncontaminated sediments – the ‘reference envelope’. Data on metal concentrations and effects on test organisms across a gradient of contamination may allow development of concentration-response models, which estimate metal concentrations associated with specified levels of toxic effects (e.g. 20% effect concentration or EC20). Comparisons of toxic effects in laboratory tests with measures of impacts on resident benthic invertebrate communities can help document causal relationships between metal contamination and biological effects. Total or total-recoverable metal concentrations in sediments are the most common measure of metal contamination in sediments, but metal concentrations in labile sediment fractions (e.g., determined as part of selective sediment extraction protocols) may better represent metal bioavailability. Metals released by the weak-acid extraction of acid-volatile sulfide (AVS), termed simultaneously-extracted metals (SEM), are widely used to estimate the ‘potentially-bioavailable’ fraction of metals that is not bound to sulfides (i.e., SEM-AVS). Metal concentrations in pore water are widely considered to be direct measures of metal bioavailability, and predictions of toxicity based on pore-water metal concentrations may be further improved by modeling interactions of metals with other pore-water constituents using Biotic Ligand Models. Data from sediment toxicity tests and metal analyses has provided the basis for development of sediment quality guidelines, which estimate thresholds for toxicity of metals in sediments. Empirical guidelines such as Probable Effects Concentrations or (PECs) are based on associations between sediment metal concentrations and occurrence of toxic effects in large datasets. PECs do not model bioavailable metals, but they can be used to estimate the toxicity of metal mixtures using by calculation of probable effect quotients (PEQ = sediment metal concentration/PEC). In contrast, mechanistic guidelines, such as Equilibrium Partitioning Sediment Benchmarks (ESBs) attempt to predict both bioavailability and mixture toxicity. Application of these simple bioavailability models requires more extensive chemical characterization of sediments or pore water, compared to empirical guidelines, but may provide more reliable estimates of metal toxicity across a wide range of sediment types.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2014.05.021","usgsCitation":"Besser, J.M., Brumbaugh, W.G., and Ingersoll, C.G., 2015, Characterizing toxicity of metal-contaminated sediments from mining areas: Applied Geochemistry, v. 57, p. 73-84, https://doi.org/10.1016/j.apgeochem.2014.05.021.","productDescription":"12 p.","startPage":"73","endPage":"84","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041372","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":300417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"555718b3e4b0a92fa7e9d033","contributors":{"authors":[{"text":"Besser, John M. 0000-0002-9464-2244 jbesser@usgs.gov","orcid":"https://orcid.org/0000-0002-9464-2244","contributorId":2073,"corporation":false,"usgs":true,"family":"Besser","given":"John","email":"jbesser@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":546960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":546958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":546959,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}