{"pageNumber":"993","pageRowStart":"24800","pageSize":"25","recordCount":184717,"records":[{"id":70191331,"text":"70191331 - 2017 - The Partners in Flight handbook on species assessment Version 2017","interactions":[],"lastModifiedDate":"2017-10-05T15:58:15","indexId":"70191331","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"The Partners in Flight handbook on species assessment Version 2017","docAbstract":"Partners in Flight (PIF) is a cooperative venture of federal, state, provincial, and territorial agencies, industry, non-governmental organizations, researchers, and many others whose common goal is the conservation of North American birds (www.partnersinflight.org). While PIF has focused primarily on landbirds, it works in conjunction with other bird partners to promote coordinated conservation of all birds.\n\nPIF follows an iterative, adaptive planning approach that develops a sound scientific basis for decision-making and a logical process for setting, implementing, and evaluating conservation objectives (Pashley et al. 2000, Rich et al. 2004, Berlanga et al. 2010). The steps include:\n\n1. Assessing conservation vulnerability of all bird species;\n2. Identifying species most in need of conservation attention at continental and regional scales;\n3. Setting of numerical population objectives for species of continental and regional importance;\n4. Identifying conservation needs and recommended actions for species and habitats of importance;\n5. Implementing strategies for meeting species and habitat objectives at continental and regional scales;\n6. Evaluating success, making revisions, and setting new objectives for the future.\n\nThe 2017 PIF Handbook on Species Assessment (2017 PIF Handbook) documents assessment rules and scores used in the Partners in Flight Landbird Conservation Plan: 2016 Revision for Canada and Continental United States (Rosenberg et al. 2016) and The State of North America’s Birds 2016 (NABCI 2016). It updates previous versions of the handbook (Panjabi et al. 2012, 2005, 2001) developed to accompany other PIF applications including Saving Our Shared Birds: Partners in Flight Tri-National Vision for Landbird Conservation (Berlanga et al. 2010) and the North American Landbird Conservation Plan (Rich et al. 2004). All current and past scores, data sources, and other related information are contained in databases hosted by the Bird Conservancy of the Rockies. Scores can be viewed online and downloaded as excel files, including archived versions (http://pif.birdconservancy.org/acad). The current accompanying Avian Conservation Assessment Database (ACAD) holds assessment scores and data for all 1585 native and 18 well-established non-native bird species found in mainland North America south to Panama plus adjacent islands and oceans. The taxonomy follows the American Ornithological Society’s 7th Edition Checklist of North and Middle American Birds, including updates though the 57th supplement, published in 2016 (http://checklist.aou.org/). The ACAD builds on archived PIF databases that hosted only data on the 882 landbirds native to Canada, USA and Mexico.\n\nThis handbook is presented in two principal sections. Part I details the factors and scoring used by PIF to assess the vulnerability of species at continental and regional scales (i.e. step 1 of the planning approach above). Each assessment factor is based on biological criteria that evaluate distinct components of vulnerability throughout the life cycle of each species across its range. Part II describes the process of how the factors and the corresponding scores can be combined to highlight conservation needs (i.e. step 2 of the planning approach above). Both the scores and the process have evolved over time (Hunter et al. 1992, Carter et al. 2000, Panjabi et al. 2001, 2005, 2012) and continue to be updated in response to external review (Beissinger et al. 2000), broad partner expertise, and the emergence of new data and analytical tools.","language":"English","publisher":"Partners in Flight","usgsCitation":"Panjabi, A.O., Blancher, P.J., Easton, W.E., Stanton, J.C., Demarest, D.W., Dettmers, R., Rosenberg, K.V., and Partners in Flight Science Committee, 2017, The Partners in Flight handbook on species assessment Version 2017, 43 p.","productDescription":"43 p.","ipdsId":"IP-086026","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":346439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346389,"type":{"id":15,"text":"Index Page"},"url":"https://pif.birdconservancy.org/ACAD/"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d744a3e4b05fe04cc7e324","contributors":{"authors":[{"text":"Panjabi, Arvind O.","contributorId":169967,"corporation":false,"usgs":false,"family":"Panjabi","given":"Arvind","email":"","middleInitial":"O.","affiliations":[{"id":25644,"text":"Bird Conservancy of the Rockies","active":true,"usgs":false}],"preferred":false,"id":711964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blancher, Peter J.","contributorId":175182,"corporation":false,"usgs":false,"family":"Blancher","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":711965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Easton, Wendy E.","contributorId":175185,"corporation":false,"usgs":false,"family":"Easton","given":"Wendy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":711966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanton, Jessica C. 0000-0002-6225-3703 jcstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-6225-3703","contributorId":5634,"corporation":false,"usgs":true,"family":"Stanton","given":"Jessica","email":"jcstanton@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":711963,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Demarest, Dean W.","contributorId":175184,"corporation":false,"usgs":false,"family":"Demarest","given":"Dean","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":712043,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dettmers, Randy","contributorId":196926,"corporation":false,"usgs":false,"family":"Dettmers","given":"Randy","email":"","affiliations":[],"preferred":false,"id":711967,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rosenberg, Kenneth V.","contributorId":171463,"corporation":false,"usgs":false,"family":"Rosenberg","given":"Kenneth","email":"","middleInitial":"V.","affiliations":[{"id":27615,"text":"Cornell Lab of Ornithology, Conservation Science Program","active":true,"usgs":false}],"preferred":false,"id":711968,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Partners in Flight Science Committee","contributorId":196951,"corporation":true,"usgs":false,"organization":"Partners in Flight Science Committee","id":711969,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70191275,"text":"70191275 - 2017 - National Park Service Vegetation Mapping Inventory Program: Appalachian National Scenic Trail vegetation mapping project","interactions":[],"lastModifiedDate":"2017-10-03T11:47:48","indexId":"70191275","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NETN/NRR—2017/1437","title":"National Park Service Vegetation Mapping Inventory Program: Appalachian National Scenic Trail vegetation mapping project","docAbstract":"

The National Park Service (NPS) Vegetation Mapping Inventory (VMI) Program classifies, describes, and maps existing vegetation of national park units for the NPS Natural Resource Inventory and Monitoring (I&M) Program. The NPS VMI Program is managed by the NPS I&M Division and provides baseline vegetation information to the NPS Natural Resource I&M Program. The U.S. Geological Survey Upper Midwest Environmental Sciences Center, NatureServe, NPS Northeast Temperate Network, and NPS Appalachian National Scenic Trail (APPA) have completed vegetation classification and mapping of APPA for the NPS VMI Program.

Mappers, ecologists, and botanists collaborated to affirm vegetation types within the U.S. National Vegetation Classification (USNVC) of APPA and to determine how best to map the vegetation types by using aerial imagery. Analyses of data from 1,618 vegetation plots were used to describe USNVC associations of APPA. Data from 289 verification sites were collected to test the field key to vegetation associations and the application of vegetation associations to a sample set of map polygons. Data from 269 validation sites were collected to assess vegetation mapping prior to submitting the vegetation map for accuracy assessment (AA). Data from 3,265 AA sites were collected, of which 3,204 were used to test accuracy of the vegetation map layer. The collective of these datasets affirmed 280 USNVC associations for the APPA vegetation mapping project.

To map the vegetation and land cover of APPA, 169 map classes were developed. The 169 map classes consist of 150 that represent natural (including ruderal) vegetation types in the USNVC, 11 that represent cultural (agricultural and developed) vegetation types in the USNVC, 5 that represent natural landscapes with catastrophic disturbance or some other modification to natural vegetation preventing accurate classification in the USNVC, and 3 that represent nonvegetated water (non-USNVC). Features were interpreted from viewing 4-band digital aerial imagery using digital onscreen three-dimensional stereoscopic workflow systems in geographic information systems (GIS). (Digital aerial imagery was collected each fall during 2009–11 to capture leaf-phenology change of hardwood trees across the latitudinal range of APPA.) The interpreted data were digitally and spatially referenced, thus making the spatial-database layers usable in GIS. Polygon units were mapped to either a 0.5-hectare (ha) or 0.25-ha minimum mapping unit, depending on vegetation type or scenario; however, polygon units were mapped to 0.1 ha for alpine vegetation.

A geodatabase containing various feature-class layers and tables provide locations and support data to USNVC vegetation types (vegetation map layer), vegetation plots, verification sites, validation sites, AA sites, project boundary extent and zones, and aerial image centers and flight lines. The feature-class layer and related tables of the vegetation map layer provide 30,395 polygons of detailed attribute data covering 110,919.7 ha, with an average polygon size of 3.6 ha; the vegetation map coincides closely with the administrative boundary for APPA.

Summary reports generated from the vegetation map layer of the map classes representing USNVC natural (including ruderal) vegetation types apply to 28,242 polygons (92.9% of polygons) and cover 106,413.0 ha (95.9%) of the map extent for APPA. The map layer indicates APPA to be 92.4% forest and woodland (102,480.8 ha), 1.7% shrubland (1866.3 ha), and 1.8% herbaceous cover (2,065.9 ha). Map classes representing park-special vegetation (undefined in the USNVC) apply to 58 polygons (0.2% of polygons) and cover 404.3 ha (0.4%) of the map extent. Map classes representing USNVC cultural types apply to 1,777 polygons (5.8% of polygons) and cover 2,516.3 ha (2.3%) of the map extent. Map classes representing nonvegetated water (non-USNVC) apply to 332 polygons (1.1% of polygons) and cover 1,586.2 ha (1.4%) of the map extent.

","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Hop, K.D., Strassman, A.C., Hall, M., Menard, S., Largay, E., Sattler, S., Hoy, E.E., Ruhser, J., Hlavacek, E., and Dieck, J., 2017, National Park Service Vegetation Mapping Inventory Program: Appalachian National Scenic Trail vegetation mapping project: Natural Resource Report NPS/NETN/NRR—2017/1437, 1620 p.","productDescription":"1620 p.","ipdsId":"IP-082135","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":346348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346344,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2240273"}],"country":"United States","otherGeospatial":"Appalachian National Scenic Trail","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d4a1a9e4b05fe04cc4e0fb","contributors":{"authors":[{"text":"Hop, Kevin D. 0000-0002-9928-4773 khop@usgs.gov","orcid":"https://orcid.org/0000-0002-9928-4773","contributorId":1438,"corporation":false,"usgs":true,"family":"Hop","given":"Kevin","email":"khop@usgs.gov","middleInitial":"D.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":711818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strassman, Andrew C. 0000-0002-9792-7181 astrassman@usgs.gov","orcid":"https://orcid.org/0000-0002-9792-7181","contributorId":4575,"corporation":false,"usgs":true,"family":"Strassman","given":"Andrew","email":"astrassman@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":711819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, Mark","contributorId":196864,"corporation":false,"usgs":false,"family":"Hall","given":"Mark","email":"","affiliations":[],"preferred":false,"id":711820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Menard, Shannon","contributorId":167864,"corporation":false,"usgs":false,"family":"Menard","given":"Shannon","email":"","affiliations":[{"id":17658,"text":"NatureServe","active":true,"usgs":false}],"preferred":false,"id":711821,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Largay, Ery","contributorId":196865,"corporation":false,"usgs":false,"family":"Largay","given":"Ery","email":"","affiliations":[],"preferred":false,"id":711822,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sattler, Stephanie 0000-0003-4417-2480 ssattler@usgs.gov","orcid":"https://orcid.org/0000-0003-4417-2480","contributorId":191016,"corporation":false,"usgs":true,"family":"Sattler","given":"Stephanie","email":"ssattler@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":711823,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hoy, Erin E. 0000-0002-2853-3242 ehoy@usgs.gov","orcid":"https://orcid.org/0000-0002-2853-3242","contributorId":4523,"corporation":false,"usgs":true,"family":"Hoy","given":"Erin","email":"ehoy@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":711824,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ruhser, Janis 0000-0001-9987-2578 jruhser@usgs.gov","orcid":"https://orcid.org/0000-0001-9987-2578","contributorId":149646,"corporation":false,"usgs":true,"family":"Ruhser","given":"Janis","email":"jruhser@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":711825,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hlavacek, Enrika 0000-0002-9872-2305 ehlavacek@usgs.gov","orcid":"https://orcid.org/0000-0002-9872-2305","contributorId":149114,"corporation":false,"usgs":true,"family":"Hlavacek","given":"Enrika","email":"ehlavacek@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":711826,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dieck, Jennifer 0000-0002-4388-4534 jdieck@usgs.gov","orcid":"https://orcid.org/0000-0002-4388-4534","contributorId":149647,"corporation":false,"usgs":true,"family":"Dieck","given":"Jennifer","email":"jdieck@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":711827,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70191541,"text":"70191541 - 2017 - Coal-tar-based pavement sealants—a potent source of PAHs","interactions":[],"lastModifiedDate":"2017-10-17T11:03:27","indexId":"70191541","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2593,"text":"Lakeline","active":true,"publicationSubtype":{"id":10}},"title":"Coal-tar-based pavement sealants—a potent source of PAHs","docAbstract":"

P avement sealants are applied to the asphalt pavement of many parking lots, driveways, and even playgrounds in North America (Figure 1), where, when first applied, they render the pavement glossy black and looking like new. Sealant products used commercially in the central, eastern, and northern United States typically are coal-tarbased, whereas those used in the western United States typically are asphalt-based. Although the products look similar, they are chemically different. Coal-tarbased pavement sealants typically are 25-35 percent (by weight) coal tar or coal-tar pitch, materials that are known human carcinogens and that contain high concentrations of polycyclic aromatic hydrocarbons (PAHs) and related chemicals (unless otherwise noted, all Figure 1. Pavement sealant is commonly used to seal parking lots, playgrounds, and driveways throughout the United States. Sealants used in the central, northern, eastern, and southern United States typically contain coal tar or coal-tar pitch, both of which are known human carcinogens. Photos by the U.S. Geological Survey. data in this article are from Mahler et al. 2012 and references therein).

","language":"English","publisher":"North American Lake Management Society","usgsCitation":"Mahler, B., and Van Metre, P., 2017, Coal-tar-based pavement sealants—a potent source of PAHs: Lakeline, v. 37, no. 1, p. 13-18.","productDescription":"6 p.","startPage":"13","endPage":"18","ipdsId":"IP-082495","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":346679,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346647,"type":{"id":15,"text":"Index Page"},"url":"https://www.nalms.org/lakeline-magazine/"}],"volume":"37","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e71691e4b05fe04cd331a9","contributors":{"authors":[{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Metre, Peter C. 0000-0001-7564-9814 pcvanmet@usgs.gov","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":172246,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":712709,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70191602,"text":"70191602 - 2017 - A paleoseismic transect across the northwestern Basin and Range Province, northwestern Nevada and northeastern California, USA","interactions":[],"lastModifiedDate":"2017-10-25T10:58:43","indexId":"70191602","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"A paleoseismic transect across the northwestern Basin and Range Province, northwestern Nevada and northeastern California, USA","docAbstract":"

We use new and existing data to compile a record of ∼18 latest Quaternary large-magnitude surface-rupturing earthquakes on 7 fault zones in the northwestern Basin and Range Province of northwestern Nevada and northeastern California. The most recent earthquake on all faults postdates the ca. 18–15 ka last glacial highstand of pluvial Lake Lahontan and other pluvial lakes in the region. These lacustrine data provide a window in which we calculate latest Quaternary vertical slip rates and compare them with rates of modern deformation in a global positioning system (GPS) transect spanning the region. Average vertical slip rates on these fault zones range from 0.1 to 0.8 mm/yr and total ∼2 mm/yr across a 265-km-wide transect from near Paradise Valley, Nevada, to the Warner Mountains in California. We converted vertical slip rates to horizontal extension rates using fault dips of 30°–60°, and then compared the extension rates to GPS-derived rates of modern (last 7–9 yr) deformation. Our preferred fault dip values (45°–55°) yield estimated long-term extension rates (1.3–1.9 mm/yr) that underestimate our modern rate (2.4 mm/yr) by ∼21%–46%. The most likely sources of this underestimate are geologically unrecognizable deformation from moderate-sized earthquakes and unaccounted-for coseismic off-fault deformation from large surface-rupturing earthquakes. However, fault dip values of ≤40° yield long-term rates comparable to or greater than modern rates, so an alternative explanation is that fault dips are closer to 40° than our preferred values. We speculate that the large component of right-lateral shear apparent in the GPS signal is partitioned on faults with primary strike-slip displacement, such as the Long Valley fault zone, and as not easily detected oblique slip on favorably oriented normal faults in the region.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01380.1","usgsCitation":"Personius, S., Briggs, R.W., Maharrey, J.Z., Angster, S.J., and Mahan, S.A., 2017, A paleoseismic transect across the northwestern Basin and Range Province, northwestern Nevada and northeastern California, USA: Geosphere, v. 13, no. 3, p. 782-810, https://doi.org/10.1130/GES01380.1.","productDescription":"29 p.","startPage":"782","endPage":"810","ipdsId":"IP-082995","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":469881,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01380.1","text":"Publisher Index Page"},{"id":347328,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Basin and Range Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121,\n 41\n ],\n [\n -117.25,\n 41\n ],\n [\n -117.25,\n 42\n ],\n [\n -121,\n 42\n ],\n [\n -121,\n 41\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-10","publicationStatus":"PW","scienceBaseUri":"59f1a2a5e4b0220bbd9d9f58","contributors":{"authors":[{"text":"Personius, Stephen 0000-0001-8347-7370 personius@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-7370","contributorId":150055,"corporation":false,"usgs":true,"family":"Personius","given":"Stephen","email":"personius@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":139002,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maharrey, J. Zebulon","contributorId":20625,"corporation":false,"usgs":true,"family":"Maharrey","given":"J.","email":"","middleInitial":"Zebulon","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":712840,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Angster, Stephen J. 0000-0001-9250-8415 sangster@usgs.gov","orcid":"https://orcid.org/0000-0001-9250-8415","contributorId":3885,"corporation":false,"usgs":true,"family":"Angster","given":"Stephen","email":"sangster@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":712841,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":712842,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193168,"text":"70193168 - 2017 - Achieving full connectivity of sites in the multiperiod reserve network design problem","interactions":[],"lastModifiedDate":"2017-11-20T15:32:16","indexId":"70193168","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5556,"text":"Computers & Operations Research","active":true,"publicationSubtype":{"id":10}},"title":"Achieving full connectivity of sites in the multiperiod reserve network design problem","docAbstract":"The conservation reserve design problem is a challenge to solve because of the spatial and temporal nature of the problem, uncertainties in the decision process, and the possibility of alternative conservation actions for any given land parcel. Conservation agencies tasked with reserve design may benefit from a dynamic decision system that provides tactical guidance for short-term decision opportunities while maintaining focus on a long-term objective of assembling the best set of protected areas possible. To plan cost-effective conservation over time under time-varying action costs and budget, we propose a multi-period mixed integer programming model for the budget-constrained selection of fully connected sites. The objective is to maximize a summed conservation value over all network parcels at the end of the planning horizon. The originality of this work is in achieving full spatial connectivity of the selected sites during the schedule of conservation actions.","language":"English","publisher":"Elsevier","doi":"10.1016/j.cor.2016.12.017","usgsCitation":"Jafari, N., Nuse, B.L., Moore, C.T., Dilkina, B., and Hepinstall-Cymerman, J., 2017, Achieving full connectivity of sites in the multiperiod reserve network design problem: Computers & Operations Research, v. 81, p. 119-127, https://doi.org/10.1016/j.cor.2016.12.017.","productDescription":"9 p.","startPage":"119","endPage":"127","ipdsId":"IP-064927","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349156,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fbd6e4b06e28e9c236d0","contributors":{"authors":[{"text":"Jafari, Nahid","contributorId":200626,"corporation":false,"usgs":false,"family":"Jafari","given":"Nahid","email":"","affiliations":[],"preferred":false,"id":722920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nuse, Bryan L.","contributorId":200627,"corporation":false,"usgs":false,"family":"Nuse","given":"Bryan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":722921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Clinton T. 0000-0002-6053-2880 cmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-6053-2880","contributorId":3643,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton","email":"cmoore@usgs.gov","middleInitial":"T.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718116,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dilkina, Bistra","contributorId":177110,"corporation":false,"usgs":false,"family":"Dilkina","given":"Bistra","affiliations":[],"preferred":false,"id":722922,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hepinstall-Cymerman, Jeffrey","contributorId":51998,"corporation":false,"usgs":true,"family":"Hepinstall-Cymerman","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":722923,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192469,"text":"70192469 - 2017 - A probabilistic approach to remote compositional analysis of planetary surfaces","interactions":[],"lastModifiedDate":"2017-10-31T14:21:28","indexId":"70192469","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"A probabilistic approach to remote compositional analysis of planetary surfaces","docAbstract":"

Reflected light from planetary surfaces provides information, including mineral/ice compositions and grain sizes, by study of albedo and absorption features as a function of wavelength. However, deconvolving the compositional signal in spectra is complicated by the nonuniqueness of the inverse problem. Trade-offs between mineral abundances and grain sizes in setting reflectance, instrument noise, and systematic errors in the forward model are potential sources of uncertainty, which are often unquantified. Here we adopt a Bayesian implementation of the Hapke model to determine sets of acceptable-fit mineral assemblages, as opposed to single best fit solutions. We quantify errors and uncertainties in mineral abundances and grain sizes that arise from instrument noise, compositional end members, optical constants, and systematic forward model errors for two suites of ternary mixtures (olivine-enstatite-anorthite and olivine-nontronite-basaltic glass) in a series of six experiments in the visible-shortwave infrared (VSWIR) wavelength range. We show that grain sizes are generally poorly constrained from VSWIR spectroscopy. Abundance and grain size trade-offs lead to typical abundance errors of ≤1 wt % (occasionally up to ~5 wt %), while ~3% noise in the data increases errors by up to ~2 wt %. Systematic errors further increase inaccuracies by a factor of 4. Finally, phases with low spectral contrast or inaccurate optical constants can further increase errors. Overall, typical errors in abundance are <10%, but sometimes significantly increase for specific mixtures, prone to abundance/grain-size trade-offs that lead to high unmixing uncertainties. These results highlight the need for probabilistic approaches to remote determination of planetary surface composition.

","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JE005248","usgsCitation":"Lapotre, M.G., Ehlmann, B.L., and Minson, S.E., 2017, A probabilistic approach to remote compositional analysis of planetary surfaces: Journal of Geophysical Research E: Planets, v. 122, no. 5, p. 983-1009, https://doi.org/10.1002/2016JE005248.","productDescription":"17 p.","startPage":"983","endPage":"1009","ipdsId":"IP-084590","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469884,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016je005248","text":"Publisher Index Page"},{"id":347891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-26","publicationStatus":"PW","scienceBaseUri":"59f98bb8e4b0531197af9ff5","contributors":{"authors":[{"text":"Lapotre, Mathieu G.A.","contributorId":198421,"corporation":false,"usgs":false,"family":"Lapotre","given":"Mathieu","email":"","middleInitial":"G.A.","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":716006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ehlmann, Bethany L. 0000-0002-2745-3240","orcid":"https://orcid.org/0000-0002-2745-3240","contributorId":147154,"corporation":false,"usgs":false,"family":"Ehlmann","given":"Bethany","email":"","middleInitial":"L.","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":716007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":716005,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192626,"text":"70192626 - 2017 - A dynamic spatio-temporal model for spatial data","interactions":[],"lastModifiedDate":"2018-01-03T15:57:04","indexId":"70192626","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5548,"text":"Spatial Statistics","active":true,"publicationSubtype":{"id":10}},"title":"A dynamic spatio-temporal model for spatial data","docAbstract":"

Analyzing spatial data often requires modeling dependencies created by a dynamic spatio-temporal data generating process. In many applications, a generalized linear mixed model (GLMM) is used with a random effect to account for spatial dependence and to provide optimal spatial predictions. Location-specific covariates are often included as fixed effects in a GLMM and may be collinear with the spatial random effect, which can negatively affect inference. We propose a dynamic approach to account for spatial dependence that incorporates scientific knowledge of the spatio-temporal data generating process. Our approach relies on a dynamic spatio-temporal model that explicitly incorporates location-specific covariates. We illustrate our approach with a spatially varying ecological diffusion model implemented using a computationally efficient homogenization technique. We apply our model to understand individual-level and location-specific risk factors associated with chronic wasting disease in white-tailed deer from Wisconsin, USA and estimate the location the disease was first introduced. We compare our approach to several existing methods that are commonly used in spatial statistics. Our spatio-temporal approach resulted in a higher predictive accuracy when compared to methods based on optimal spatial prediction, obviated confounding among the spatially indexed covariates and the spatial random effect, and provided additional information that will be important for containing disease outbreaks.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.spasta.2017.02.005","usgsCitation":"Hefley, T.J., Hooten, M., Hanks, E.M., Russell, R., and Walsh, D.P., 2017, A dynamic spatio-temporal model for spatial data: Spatial Statistics, v. 20, p. 206-220, https://doi.org/10.1016/j.spasta.2017.02.005.","productDescription":"15 p.","startPage":"206","endPage":"220","ipdsId":"IP-079545","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":461613,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.spasta.2017.02.005","text":"Publisher Index Page"},{"id":348561,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","volume":"20","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8cee4b09af898c8612d","contributors":{"authors":[{"text":"Hefley, Trevor J.","contributorId":147146,"corporation":false,"usgs":false,"family":"Hefley","given":"Trevor","email":"","middleInitial":"J.","affiliations":[{"id":16796,"text":"Dept Fish, Wildlife & Cons Biol, Colorado St Univ, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":716578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":716576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanks, Ephraim M.","contributorId":178093,"corporation":false,"usgs":false,"family":"Hanks","given":"Ephraim","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":716579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Russell, Robin 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":178094,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":716577,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walsh, Daniel P. 0000-0002-7772-2445 dwalsh@usgs.gov","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":4758,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"dwalsh@usgs.gov","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":716580,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70187871,"text":"70187871 - 2017 - Long-term forest productivity","interactions":[],"lastModifiedDate":"2020-08-21T13:13:22.493612","indexId":"70187871","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"11","title":"Long-term forest productivity","docAbstract":"

No abstract available.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"People, forests, and change: Lessons from the Pacific Northwest","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Island Press","isbn":"9781610917667","usgsCitation":"Bormann, B.T., Perakis, S.S., Darbyshire, R., and Hatten, J., 2017, Long-term forest productivity, chap. 11 of People, forests, and change: Lessons from the Pacific Northwest.","ipdsId":"IP-075844","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":341799,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":341573,"type":{"id":15,"text":"Index Page"},"url":"https://islandpress.org/book/people-forests-and-change"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59293e95e4b016f7a94076fb","contributors":{"editors":[{"text":"Olson, Deanna H.","contributorId":114032,"corporation":false,"usgs":true,"family":"Olson","given":"Deanna","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":696174,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Van Horne, Beatrice","contributorId":59001,"corporation":false,"usgs":true,"family":"Van Horne","given":"Beatrice","email":"","affiliations":[],"preferred":false,"id":696175,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Bormann, Bernard T.","contributorId":192223,"corporation":false,"usgs":false,"family":"Bormann","given":"Bernard","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":695848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perakis, Steven S. sperakis@usgs.gov","contributorId":3117,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":695847,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Darbyshire, Robyn","contributorId":192225,"corporation":false,"usgs":false,"family":"Darbyshire","given":"Robyn","email":"","affiliations":[],"preferred":false,"id":695850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatten, Jeff","contributorId":192224,"corporation":false,"usgs":false,"family":"Hatten","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":695849,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187393,"text":"70187393 - 2017 - Population trends and distribution of Common Murre Uria aalge colonies in Washington, 1996-2015","interactions":[],"lastModifiedDate":"2019-12-17T09:28:42","indexId":"70187393","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2675,"text":"Marine Ornithology: Journal of Seabird Research and Conservation","onlineIssn":"2074-1235","printIssn":"1018-3337","active":true,"publicationSubtype":{"id":10}},"title":"Population trends and distribution of Common Murre Uria aalge colonies in Washington, 1996-2015","docAbstract":"

Periodic assessments of population trends and changes in spatial distribution are valuable for managing marine birds and their breeding habitats, particularly when evaluating long-term response to threats such as oil spills, predation pressure, and changing ocean conditions. We evaluated recent trends in abundance and distribution of the Common Murre Uria aalge within Copalis, Quillayute Needles, and Flattery Rocks National Wildlife Refuges, which include all murre colonies in Washington except one, off-refuge, on Tatoosh Island. In 1996-2001 and 2010-2015, aerial photographic surveys were conducted during the incubation phase (mid-June through mid-July) each year. Using images from film (1996-2001) and digital (2010-2015) cameras that included all parts of each colony, we manually counted murres. We estimated population trend as annual percent change in whole-colony counts using an overdispersed Poisson regression model. Overall, numbers of murres counted at breeding colonies in Washington increased by 8.8% per year (95% CI 3.0%-14.9%) during 1996–2015. The overall statewide increase was driven by an increase at colonies in northern Washington of approximately 11% per year (95% CI 4.5%-17.8%). Despite an increasing trend, abundance remains lower than levels in the late 1970s, and the spatial distribution has changed. Colonies in southern Washington - where murres were historically the most abundant - are no longer active, or only minimally so, whereas colonies in the north - which were rarely active in the early 1970s - are now the largest. There was high variability in spatial distribution among years, a pattern that indicates a need for coordinated monitoring and movement studies throughout the California Current System to understand dispersal and colonization. Our results indicate that future management of refuge islands could protect both current and historic colony locations, given the patterns of colony dynamics and the uncertainty about long-term effects of a changing ocean ecosystem and predation pressure on the status of murres.

","language":"English","publisher":"Marine Ornithology","usgsCitation":"Thomas, S., and Lyons, J.E., 2017, Population trends and distribution of Common Murre Uria aalge colonies in Washington, 1996-2015: Marine Ornithology: Journal of Seabird Research and Conservation, v. 45, no. 1, p. 95-102.","productDescription":"8 p.","startPage":"95","endPage":"102","ipdsId":"IP-079216","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":340686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340685,"type":{"id":15,"text":"Index Page"},"url":"https://www.marineornithology.org/content/get.cgi?rn=1206"}],"country":"United 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\"}}]}","volume":"45","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5908491ee4b0fc4e448ffd3c","contributors":{"authors":[{"text":"Thomas, Susan M","contributorId":191668,"corporation":false,"usgs":false,"family":"Thomas","given":"Susan M","affiliations":[],"preferred":false,"id":693777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E. 0000-0002-9810-8751 jelyons@usgs.gov","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":177546,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"jelyons@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":693776,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70195117,"text":"70195117 - 2017 - Advancing coastal ocean modelling, analysis, and prediction for the US Integrated Ocean Observing System","interactions":[],"lastModifiedDate":"2021-10-26T15:52:22.76388","indexId":"70195117","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5621,"text":"Journal of Operational Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Advancing coastal ocean modelling, analysis, and prediction for the US Integrated Ocean Observing System","docAbstract":"

This paper outlines strategies that would advance coastal ocean modelling, analysis and prediction as a complement to the observing and data management activities of the coastal components of the US Integrated Ocean Observing System (IOOS®) and the Global Ocean Observing System (GOOS). The views presented are the consensus of a group of US-based researchers with a cross-section of coastal oceanography and ocean modelling expertise and community representation drawn from Regional and US Federal partners in IOOS. Priorities for research and development are suggested that would enhance the value of IOOS observations through model-based synthesis, deliver better model-based information products, and assist the design, evaluation, and operation of the observing system itself. The proposed priorities are: model coupling, data assimilation, nearshore processes, cyberinfrastructure and model skill assessment, modelling for observing system design, evaluation and operation, ensemble prediction, and fast predictors. Approaches are suggested to accomplish substantial progress in a 3–8-year timeframe. In addition, the group proposes steps to promote collaboration between research and operations groups in Regional Associations, US Federal Agencies, and the international ocean research community in general that would foster coordination on scientific and technical issues, and strengthen federal–academic partnerships benefiting IOOS stakeholders and end users.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/1755876X.2017.1322026","usgsCitation":"Wilkin, J.L., Rosenfeld, L., Allen, A., Baltes, R., Baptista, A., He, R., Hogan, P., Kurapov, A., Mehra, A., Quintrell, J., Schwab, D., Signell, R.P., and Smith, J., 2017, Advancing coastal ocean modelling, analysis, and prediction for the US Integrated Ocean Observing System: Journal of Operational Oceanography, v. 10, no. 2, p. 115-126, https://doi.org/10.1080/1755876X.2017.1322026.","productDescription":"12 p.","startPage":"115","endPage":"126","ipdsId":"IP-086129","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469897,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/1755876x.2017.1322026","text":"Publisher Index 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CA","active":true,"usgs":false}],"preferred":false,"id":727019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Arthur 0000-0002-6061-9396","orcid":"https://orcid.org/0000-0002-6061-9396","contributorId":70870,"corporation":false,"usgs":true,"family":"Allen","given":"Arthur","email":"","affiliations":[],"preferred":false,"id":727020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baltes, Rebecca 0000-0003-3121-1495","orcid":"https://orcid.org/0000-0003-3121-1495","contributorId":201818,"corporation":false,"usgs":false,"family":"Baltes","given":"Rebecca","email":"","affiliations":[{"id":36259,"text":"U.S. IOOS Program Office","active":true,"usgs":false}],"preferred":false,"id":727021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baptista, Antonio 0000-0002-7641-5937","orcid":"https://orcid.org/0000-0002-7641-5937","contributorId":202188,"corporation":false,"usgs":false,"family":"Baptista","given":"Antonio","email":"","affiliations":[],"preferred":false,"id":727022,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"He, Ruoying","contributorId":68029,"corporation":false,"usgs":true,"family":"He","given":"Ruoying","affiliations":[],"preferred":false,"id":727773,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hogan, Patrick 0000-0001-5931-3675","orcid":"https://orcid.org/0000-0001-5931-3675","contributorId":201819,"corporation":false,"usgs":false,"family":"Hogan","given":"Patrick","email":"","affiliations":[{"id":36260,"text":"U.S. Naval Research Laboratory and GCOOS","active":true,"usgs":false}],"preferred":false,"id":727024,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kurapov, Alexander","contributorId":201820,"corporation":false,"usgs":false,"family":"Kurapov","given":"Alexander","email":"","affiliations":[{"id":36261,"text":"Oregon State University and NANOOS","active":true,"usgs":false}],"preferred":false,"id":727025,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mehra, Avichal","contributorId":201821,"corporation":false,"usgs":false,"family":"Mehra","given":"Avichal","email":"","affiliations":[{"id":36262,"text":"NOAA National Centers for Environmental Prediction","active":true,"usgs":false}],"preferred":false,"id":727026,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Quintrell, Josie","contributorId":201822,"corporation":false,"usgs":false,"family":"Quintrell","given":"Josie","email":"","affiliations":[{"id":36263,"text":"IOOS Association","active":true,"usgs":false}],"preferred":false,"id":727027,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schwab, David","contributorId":202190,"corporation":false,"usgs":false,"family":"Schwab","given":"David","affiliations":[],"preferred":false,"id":727028,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Signell, Richard P. 0000-0003-0682-9613 rsignell@usgs.gov","orcid":"https://orcid.org/0000-0003-0682-9613","contributorId":140906,"corporation":false,"usgs":true,"family":"Signell","given":"Richard","email":"rsignell@usgs.gov","middleInitial":"P.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":727017,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Smith, Jane","contributorId":202191,"corporation":false,"usgs":false,"family":"Smith","given":"Jane","affiliations":[],"preferred":false,"id":727029,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70193456,"text":"70193456 - 2017 - Fall and winter survival of brook trout and brown trout in a north-central Pennsylvania watershed","interactions":[],"lastModifiedDate":"2017-11-10T11:15:39","indexId":"70193456","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Fall and winter survival of brook trout and brown trout in a north-central Pennsylvania watershed","docAbstract":"

Stream-dwelling salmonids that spawn in the fall generally experience their lowest survival during the fall and winter due to behavioral changes associated with spawning and energetic deficiencies during this time of year. We used data from Brook Trout Salvelinus fontinalis and Brown Trout Salmo trutta implanted with radio transmitters in tributaries of the Hunts Run watershed of north-central Pennsylvania to estimate survival from the fall into the winter seasons (September 2012–February 2013). We examined the effects that individual-level covariates (trout species, size, and movement rates) and stream-level covariates (individual stream and cumulative drainage area of a stream) have on survival. Brook Trout experienced significantly lower survival than Brown Trout, especially in the early fall during their peak spawning period. Besides a significant species effect, none of the other covariates examined influenced survival for either species. A difference in life history between these species, with Brook Trout having a shorter life expectancy than Brown Trout, is likely the primary reason for the lower survival of Brook Trout. However, Brook Trout also spawn earlier in the fall than Brown Trout and low flows during Brook Trout spawning may have resulted in a greater risk of predation for Brook Trout compared with Brown Trout, thereby also contributing to the observed differences in survival between these species. Our estimates of survival can aid parameterization of future population models for Brook Trout and Brown Trout through the spawning season and into winter.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1305987","usgsCitation":"Sweka, J.A., Davis, L.A., and Wagner, T., 2017, Fall and winter survival of brook trout and brown trout in a north-central Pennsylvania watershed: Transactions of the American Fisheries Society, v. 146, no. 4, p. 744-752, https://doi.org/10.1080/00028487.2017.1305987.","productDescription":"9 p.","startPage":"744","endPage":"752","ipdsId":"IP-079502","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Hunts Run watershed","volume":"146","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-26","publicationStatus":"PW","scienceBaseUri":"5a06c8cde4b09af898c86123","contributors":{"authors":[{"text":"Sweka, John A.","contributorId":198858,"corporation":false,"usgs":false,"family":"Sweka","given":"John","email":"","middleInitial":"A.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":719128,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Lori A.","contributorId":187762,"corporation":false,"usgs":false,"family":"Davis","given":"Lori","email":"","middleInitial":"A.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":721572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":721573,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193533,"text":"70193533 - 2017 - Effect of substrate size on sympatric sand darter benthic habitat preferences","interactions":[],"lastModifiedDate":"2017-11-05T22:09:31","indexId":"70193533","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Effect of substrate size on sympatric sand darter benthic habitat preferences","docAbstract":"

The western sand darter, Ammocrypta clara, and the eastern sand darter, A. pellucida, are sand-dwelling fishes that have undergone range-wide population declines, presumably owing to habitat loss. Habitat use studies have been conducted for the eastern sand darter, but literature on the western sand darter remains sparse. To evaluate substrate selection and preference, western and eastern sand darters were collected from the Elk River, West Virginia, one of the few remaining rivers where both species occur sympatrically. In the laboratory, individuals were given the choice to bury into five equally available and randomly positioned substrates ranging from fine sand to granule gravel (0.12–4.0 mm). The western sand darter selected for coarse and medium sand, while the eastern sand darter was more of a generalist selecting for fine, medium, and coarse sand. Substrate selection was significantly different (p = 0.02) between species in the same environment, where the western sand darter preferred coarser substrate more often compared to the eastern sand darter. Habitat degradation is often a limiting factor for many species of rare freshwater fish, and results from this study suggest that western and eastern sand darters may respond differently to variations in benthic substrate composition.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2017.1319880","usgsCitation":"Thompson, P., Welsh, S.A., Rizzo, A.A., and Smith, D.M., 2017, Effect of substrate size on sympatric sand darter benthic habitat preferences: Journal of Freshwater Ecology, v. 32, no. 1, p. 455-465, https://doi.org/10.1080/02705060.2017.1319880.","productDescription":"11 p.","startPage":"455","endPage":"465","ipdsId":"IP-079713","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469880,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2017.1319880","text":"Publisher Index Page"},{"id":348211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Elk River","volume":"32","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-22","publicationStatus":"PW","scienceBaseUri":"5a003150e4b0531197b5a746","contributors":{"authors":[{"text":"Thompson, Patricia A. pathompson@usgs.gov","contributorId":5249,"corporation":false,"usgs":true,"family":"Thompson","given":"Patricia A.","email":"pathompson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":719298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":1483,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart","email":"swelsh@usgs.gov","middleInitial":"A.","affiliations":[{"id":205,"text":"Cooperative Research Units","active":false,"usgs":true}],"preferred":false,"id":720416,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rizzo, Austin A.","contributorId":191439,"corporation":false,"usgs":false,"family":"Rizzo","given":"Austin","email":"","middleInitial":"A.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":720417,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Dustin M.","contributorId":171829,"corporation":false,"usgs":false,"family":"Smith","given":"Dustin","email":"","middleInitial":"M.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":720418,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192831,"text":"70192831 - 2017 - A report on upgraded seismic monitoring stations in Myanmar: Station performance and site response","interactions":[],"lastModifiedDate":"2017-10-30T16:33:18","indexId":"70192831","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"A report on upgraded seismic monitoring stations in Myanmar: Station performance and site response","docAbstract":"

Myanmar is in a tectonically complex region between the eastern edge of the Himalayan collision zone and the northern end of the Sunda megathrust. Until recently, earthquake monitoring and research efforts have been hampered by a lack of modern instrumentation and communication infrastructure. In January 2016, a major upgrade of the Myanmar National Seismic Network (MNSN; network code MM) was undertaken to improve earthquake monitoring capability. We installed five permanent broadband and strong‐motion seismic stations and real‐time data telemetry using newly improved cellular networks. Data are telemetered to the MNSN hub in Nay Pyi Taw and archived at the Incorporated Research Institutions for Seismology Data Management Center. We analyzed station noise characteristics and site response using noise and events recorded over the first six months of station operation. Background noise characteristics vary across the array, but indicate that the new stations are performing well. MM stations recorded more than 20 earthquakes of M≥4.5 within Myanmar and its immediate surroundings, including an M 6.8 earthquake located northwest of Mandalay on 13 April 2016 and the Mw 6.8 Chauk event on 24 August 2016. We use this new dataset to calculate horizontal‐to‐vertical spectral ratios, which provide a preliminary characterization of site response of the upgraded MM stations.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160168","usgsCitation":"Thiam, H.N., Min Htwe, Y.M., Kyaw, T.L., Tun, P.P., Min, Z., Htwe, S.H., Aung, T.M., Lin, K.K., Aung, M.M., De Cristofaro, J., Franke, M., Radman, S., Lepiten, E., Wolin, E., and Hough, S.E., 2017, A report on upgraded seismic monitoring stations in Myanmar: Station performance and site response: Seismological Research Letters, v. 88, no. 3, p. 926-934, https://doi.org/10.1785/0220160168.","productDescription":"9 p.","startPage":"926","endPage":"934","ipdsId":"IP-084392","costCenters":[{"id":237,"text":"Earthquake Science 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Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-22","publicationStatus":"PW","scienceBaseUri":"59f83a37e4b063d5d30980e1","contributors":{"authors":[{"text":"Thiam, Hrin Nei","contributorId":198766,"corporation":false,"usgs":false,"family":"Thiam","given":"Hrin","email":"","middleInitial":"Nei","affiliations":[],"preferred":false,"id":717099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Min Htwe, Yin Myo","contributorId":198767,"corporation":false,"usgs":false,"family":"Min Htwe","given":"Yin","email":"","middleInitial":"Myo","affiliations":[],"preferred":false,"id":717100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kyaw, Tun Lin","contributorId":198768,"corporation":false,"usgs":false,"family":"Kyaw","given":"Tun","email":"","middleInitial":"Lin","affiliations":[],"preferred":false,"id":717101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tun, Pa 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Extensive water development in large rivers has precipitated many negative ecological effects on native fish populations. Mitigation for such development often focuses on restoring biological integrity through remediation of the physical and chemical properties of regulated rivers. However, evaluating and defining the success of those programs can be difficult. We modeled the influence of mitigation-related environmental factors on growth and recruitment of two ecologically important native fish species (Largescale Sucker Catostomus macrocheilus and Mountain Whitefish Prosopium williamsoni) in the Kootenai River, Idaho. Artificial nutrient (phosphorus) addition best predicted the variability in annual growth of both species. Nutrient addition was positively related to Largescale Sucker growth but negatively related to Mountain Whitefish growth. The best model explained 82% of the annual variability in incremental growth for Largescale Suckers and 61% of the annual variability for Mountain Whitefish. Year-class strength of Largescale Suckers was not closely related to any of the environmental variables evaluated; however, year-class strength of Mountain Whitefish was closely associated with nutrient addition, discharge, and temperature. Most research has focused on biotic assemblages to evaluate the effects of mitigation activities on fishes, but there is an increased need to identify the influence of rehabilitation activities on fish population dynamics within those assemblages. Here, we demonstrate how fish growth can serve as an indicator of rehabilitation success in a highly regulated large river. Future fish restoration projects can likely benefit from a change in scope and from consideration of an evaluation framework involving the response of population rate functions to mitigation.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1308882","usgsCitation":"Watkins, C.J., Ross, T.J., Quist, M.C., and Hardy, R.S., 2017, Response of fish population dynamics to mitigation activities in a large regulated river: Transactions of the American Fisheries Society, v. 146, no. 4, p. 703-715, https://doi.org/10.1080/00028487.2017.1308882.","productDescription":"13 p.","startPage":"703","endPage":"715","ipdsId":"IP-079245","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348398,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Kootenai River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.36581420898438,\n 48.59386747325061\n ],\n [\n -116.04583740234374,\n 48.59386747325061\n ],\n [\n -116.04583740234374,\n 48.73717255965176\n ],\n [\n -116.36581420898438,\n 48.73717255965176\n ],\n [\n -116.36581420898438,\n 48.59386747325061\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"146","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-11","publicationStatus":"PW","scienceBaseUri":"5a0425b8e4b0dc0b45b4537c","contributors":{"authors":[{"text":"Watkins, Carson J.","contributorId":171708,"corporation":false,"usgs":false,"family":"Watkins","given":"Carson","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ross, Tyler J.","contributorId":171777,"corporation":false,"usgs":false,"family":"Ross","given":"Tyler","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":717331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hardy, Ryan S.","contributorId":167032,"corporation":false,"usgs":false,"family":"Hardy","given":"Ryan","email":"","middleInitial":"S.","affiliations":[{"id":6764,"text":"Idaho Department of Fish and Game, Nampa, Idaho","active":true,"usgs":false}],"preferred":false,"id":720986,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189344,"text":"70189344 - 2017 - Managing the livestock– Wildlife interface on rangelands","interactions":[],"lastModifiedDate":"2017-07-11T14:42:50","indexId":"70189344","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Managing the livestock– Wildlife interface on rangelands","docAbstract":"

On rangelands the livestock–wildlife interface is mostly characterized by management actions aimed at controlling problems associated with competition, disease, and depredation. Wildlife communities (especially the large vertebrate species) are typically incompatible with agricultural development because the opportunity costs of wildlife conservation are unaffordable except in arid and semi-arid regions. Ecological factors including the provision of supplementary food and water for livestock, together with the persecution of large predators, result in livestock replacing wildlife at biomass densities far exceeding those of indigenous ungulates. Diseases are difficult to eradicate from free-ranging wildlife populations and so veterinary controls usually focus on separating commercial livestock herds from wildlife. Persecution of large carnivores due to their depredation of livestock has caused the virtual eradication of apex predators from most rangelands. However, recent research points to a broad range of solutions to reduce conflict at the livestock–wildlife interface. Conserving wildlife bolsters the adaptive capacity of a rangeland by providing stakeholders with options for dealing with environmental change. This is contingent upon local communities being empowered to benefit directly from their wildlife resources within a management framework that integrates land-use sectors at the landscape scale. As rangelands undergo irreversible changes caused by species invasions and climate forcings, the future perspective favors a proactive shift in attitude towards the livestock–wildlife interface, from problem control to asset management.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Rangeland Systems","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-46709-2_12","usgsCitation":"du Toit, J., Cross, P.C., and Valeix, M., 2017, Managing the livestock– Wildlife interface on rangelands, chap. of Rangeland Systems, p. 395-425, https://doi.org/10.1007/978-3-319-46709-2_12.","productDescription":"31 p.","startPage":"395","endPage":"425","ipdsId":"IP-059873","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":490046,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-319-46709-2_12","text":"Publisher Index Page"},{"id":343593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2017-04-14","publicationStatus":"PW","scienceBaseUri":"5965b1eee4b0d1f9f05b37c8","contributors":{"authors":[{"text":"du Toit, Johan T.","contributorId":86583,"corporation":false,"usgs":true,"family":"du Toit","given":"Johan T.","affiliations":[],"preferred":false,"id":704298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":704299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Valeix, Marion","contributorId":194482,"corporation":false,"usgs":false,"family":"Valeix","given":"Marion","email":"","affiliations":[],"preferred":false,"id":704300,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194121,"text":"70194121 - 2017 - Diagenetic silica enrichment and late-stage groundwater activity in Gale crater, Mars","interactions":[],"lastModifiedDate":"2017-11-16T16:44:19","indexId":"70194121","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Diagenetic silica enrichment and late-stage groundwater activity in Gale crater, Mars","docAbstract":"

Diagenetic silica enrichment in fracture-associated halos that crosscut lacustrine and unconformably overlying aeolian sedimentary bedrock is observed on the lower north slope of Aeolis Mons in Gale crater, Mars. The diagenetic silica enrichment is colocated with detrital silica enrichment observed in the lacustrine bedrock yet extends into a considerably younger, unconformably draping aeolian sandstone, implying that diagenetic silica enrichment postdates the detrital silica enrichment. A causal connection between the detrital and diagenetic silica enrichment implies that water was present in the subsurface of Gale crater long after deposition of the lacustrine sediments and that it mobilized detrital amorphous silica and precipitated it along fractures in the overlying bedrock. Although absolute timing is uncertain, the observed diagenesis likely represents some of the most recent groundwater activity in Gale crater and suggests that the timescale of potential habitability extended considerably beyond the time that the lacustrine sediments of Aeolis Mons were deposited.

","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL073323","usgsCitation":"Frydenvang, J., Gasda, P.J., Hurowitz, J.A., Grotzinger, J.P., Wiens, R.C., Newsom, H.E., Edgett, K.S., Watkins, J., Bridges, J.C., Maurice, S., Fisk, M.R., Johnson, J.R., Rapin, W., Stein, N., Clegg, S.M., Schwenzer, S.P., Bedford, C., Edwards, P., Mangold, N., Cousin, A., Anderson, R.B., Payre, V., Vaniman, D., Blake, D., Lanza, N.L., Gupta, S., Van Beek, J.K., Sautter, V., Meslin, P., Rice, M., Milliken, R., Gellert, R., Thompson, L., Clark, B.C., Sumner, D.Y., Fraeman, A.A., Kinch, K., Madsen, M.B., Mitofranov, I., Jun, I., Calef, F.J., and Vasavada, A.R., 2017, Diagenetic silica enrichment and late-stage groundwater activity in Gale crater, Mars: Geophysical Research Letters, v. 44, no. 10, p. 4716-4724, https://doi.org/10.1002/2017GL073323.","productDescription":"9 p.","startPage":"4716","endPage":"4724","ipdsId":"IP-084753","costCenters":[{"id":131,"text":"Astrogeology 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Hawaii","interactions":[],"lastModifiedDate":"2024-05-23T22:01:59.158496","indexId":"sim2932A","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2932-A","displayTitle":"Geologic Map of the Northeast Flank of Mauna Loa Volcano, Island of Hawai'i, Hawaii","title":"Geologic map of the northeast flank of Mauna Loa volcano, Island of Hawai'i, Hawaii","docAbstract":"

Summary

Mauna Loa, the largest volcano on Earth, has erupted 33 times since written descriptions became available in 1832. Some eruptions were preceded by only brief seismic unrest, while others followed several months to a year of increased seismicity.

The majority of the eruptions of Mauna Loa began in the summit area (>12,000-ft elevation; Lockwood and Lipman, 1987); yet the Northeast Rift Zone (NERZ) was the source of eight flank eruptions since 1843 (table 1). This zone extends from the 13,680-ft-high summit towards Hilo (population ~60,000), the second largest city in the State of Hawaii. Although most of the source vents are farther than 30 km away, the 1880 flow from one of the vents extends into Hilo, nearly reaching Hilo Bay. The city is built entirely on flows erupted from the NERZ, most older than that erupted in 1843.

Once underway, Mauna Loa's eruptions can produce lava flows that reach the sea in less than 24 hours, severing roads and utilities in their path. For example, lava flows erupted from the Southwest Rift Zone (SWRZ) in 1950 advanced at an average rate of 9.3 km per hour, and all three lobes reached the ocean within approximately 24 hours (Finch and Macdonald, 1953). The flows near the eruptive vents must have traveled even faster.

In terms of eruption frequency, pre-eruption warning, and rapid flow emplacement, Mauna Loa poses an enormous volcanic-hazard threat to the Island of Hawai‘i. By documenting past activity and by alerting the public and local government officials of our findings, we can anticipate the volcanic hazards and substantially mitigate the risks associated with an eruption of this massive edifice.

From the geologic record, we can deduce several generalized facts about the geologic history of the NERZ. The middle to the uppermost section of the rift zone were more active in the past 4,000 years than the lower part, perhaps due to buttressing of the lower east rift zone by Mauna Kea and Kīlauea volcanoes. The historical flows that erupted on the north flank of the rift zone, which is more vulnerable to inundation, advanced toward Hilo. Lockwood (1990) noted that the vents of historical activity are migrating to the south. The volcano appears to have a self-regulating mechanism that evenly distributes long-term activity across its flanks. The geologic record also supports this notion; the time prior to the historical period (Age Group 1, orange units, pre-A.D. 1843–1,000 yr B.P.; see map sheet 2) is dominated by activity on the south side of the NERZ.

The NERZ trends N. 65° E. and is about 40 km long and 2–4 km wide, narrowing at the summit caldera. It becomes diffuse (6–7 km wide) at its down-rift terminus, at the approximately 3,400-ft elevation. Its constructional crest is marked by low spatter ramparts and by spatter cones as high as 60 m. Subparallel eruptive fissures and ground cracks cut vent deposits and flows in and near the rift crest. Lava typically flows to the north, east, or south, depending on vent location relative to the rift crest.

Encompassing 1,140 km2 of the northeast flank of Mauna Loa from the 10,880-ft elevation to sea level, the map covers the area from Hilo to Volcano on the east and includes the rift zone from Puu Ulaula quadrangle in the southwest to Hilo in the northeast. The distribution of 105 eruptive units (flows)—separated into 15 age groups ranging from more than 30,000 years B.P. to A.D. 1984—are shown, as well as the relations of volcanic and surficial sedimentary deposits. This map incorporates previously reported work published in generalized small-scale maps (Lockwood and Lipman, 1987; Buchanan-Banks, 1993; Lockwood, 1995; and Wolfe and Morris, 1996).

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim2932A","usgsCitation":"Trusdell, F.A., and Lockwood, J.P., 2017, Geologic map of the northeast flank of Mauna Loa volcano, Island of Hawai'i, Hawaii: U.S. Geological Survey Scientific Investigations Map 2932–A, pamphlet 25 p., 2 sheets, scale 1:50,000, https://doi.org/10.3133/sim2932A.","productDescription":"Pamphlet: ii, 25 p.; 2 Sheets: 54.66 x 29.17 inches and 46.11 x 28.85 inches; Data Table; Metadata; Read Me; Geospatial Data","ipdsId":"IP-054350","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":429219,"rank":11,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sim2932E","text":"Scientific Investigations Map 2932-E","linkHelpText":"- Geologic Map of the Northwest Flank of Mauna Loa Volcano, Island of Hawai‘i, Hawaii"},{"id":374329,"rank":10,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sim2932C","text":"Scientific Investigations Map 2932-C","linkHelpText":"- Geologic Map of the Southern Flank of Mauna Loa Volcano, Island of Hawai‘i, Hawaii"},{"id":374328,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sim2932B","text":"Scientific Investigations Map 2932-B","linkHelpText":"- Geologic Map of the Central-Southeast Flank of Mauna Loa Volcano, Island of Hawai‘i, Hawaii"},{"id":340642,"rank":7,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/2932/a/sim2932a_geospatialdata.zip","text":"Geospatial data","size":"6.6 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 2932-A Geospatial data"},{"id":340641,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sim/2932/a/sim2932a_geochemical_data_table_2017.xlsx","text":"Geochemical data table 2017","size":"40 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIM 2932-A Geochemical data table 2017"},{"id":340640,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/2932/a/sim2932a_metadata.zip","size":"217 KB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 2932-A Metadata"},{"id":340638,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/2932/a/sim2932a_sheet1.pdf","text":"Sheet 1","size":"20.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 2932-A Sheet 1"},{"id":340637,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/2932/a/sim2932a_pamphlet.pdf","text":"Pamphlet","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 2932-A Pamphlet"},{"id":340636,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/2932/a/coverthb.jpg"},{"id":340643,"rank":8,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/2932/a/sim2932a_readme.txt","size":"2 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 2932-A Readme"},{"id":340639,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/2932/a/sim2932a_sheet2.pdf","text":"Sheet 2","size":"13.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 2932-A Sheet 2"}],"country":"United States","state":"Hawaii","otherGeospatial":"Island of Hawai'i, Mauna Loa Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.5,\n 19.5\n ],\n [\n -154.75,\n 19.5\n ],\n [\n -154.75,\n 19.75\n ],\n [\n -155.5,\n 19.75\n ],\n [\n -155.5,\n 19.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Contact HVO
Volcano Science Center, Hawaiian Volcano Observatory
U.S. Geological Survey

","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-05-01","noUsgsAuthors":false,"publicationDate":"2017-05-01","publicationStatus":"PW","scienceBaseUri":"59084923e4b0fc4e448ffd42","contributors":{"authors":[{"text":"Trusdell, Frank A. 0000-0002-0681-0528 trusdell@usgs.gov","orcid":"https://orcid.org/0000-0002-0681-0528","contributorId":754,"corporation":false,"usgs":true,"family":"Trusdell","given":"Frank A.","email":"trusdell@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":518515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lockwood, John P. 0000-0002-6562-0222","orcid":"https://orcid.org/0000-0002-6562-0222","contributorId":30976,"corporation":false,"usgs":true,"family":"Lockwood","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":518516,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192603,"text":"70192603 - 2017 - Magmatic degassing, lava dome extrusion, and explosions from Mount Cleveland volcano, Alaska, 2011–2015: Insight into the continuous nature of volcanic activity over multi-year timescales","interactions":[],"lastModifiedDate":"2017-10-31T16:46:52","indexId":"70192603","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Magmatic degassing, lava dome extrusion, and explosions from Mount Cleveland volcano, Alaska, 2011–2015: Insight into the continuous nature of volcanic activity over multi-year timescales","docAbstract":"

Mount Cleveland volcano (1730 m) is one of the most active volcanoes in the Aleutian arc, Alaska, but heightened activity is rarely accompanied by geophysical signals, which makes interpretation of the activity difficult. In this study, we combine volcanic gas emissions measured for the first time in August 2015 with longer-term measurements of thermal output and lava extrusion rates between 2011 and 2015 calculated from MODIS satellite data with the aim to develop a better understanding of the nature of volcanic activity at Mount Cleveland. Degassing measurements were made in the month following two explosive events (21 July and 7 August 2015) and during a period of new dome growth in the summit crater. SO2 emission rates ranged from 400 to 860 t d− 1 and CO2/SO2 ratios were < 3, consistent with the presence of shallow magma in the conduit and the observed growth of a new lava dome. Thermal anomalies derived from MODIS data from 2011 to 2015 had an average repose time of only 4 days, pointing to the continuous nature of volcanic activity at this volcano. Rapid increases in the cumulative thermal output were often coincident with visual confirmation of dome growth or accumulations of tephra in the crater. The average rate of lava extrusion calculated for 9 periods of rapid increase in thermal output was 0.28 m3 s− 1, and the total volume extruded from 2011 to 2015 was 1.9–5.8 Mm3. The thermal output from the lava extrusion events only accounts for roughly half of the thermal budget, suggesting a continued presence of shallow magma in the upper conduit, likely driven by convection. Axisymmetric dome morphology and occasional drain back of lava into the conduit suggests low-viscosity magmas drive volcanism at Mount Cleveland. It follows also that only small overpressures can be maintained given the small domes and fluid magmas, which is consistent with the low explosivity of most of Mount Cleveland's eruptions. Changes between phases of dome growth and explosive activity are somewhat unpredictable and likely result from plugs that are related to the dome obtaining a critical dimension, or from small variations in the magma ascent rate that lead to crystallization-induced blockages in the upper conduit, thereby reducing the ability of magma to degas. We suggest the small magma volumes, slow ascent rates, and low magma viscosity lead to the overall lack of anomalous geophysical signals prior to eruptions, and that more continuous volcanic degassing measurements might lead to more successful eruption forecasting at this continuously-active open-vent volcano.

","language":"English","publisher":"Elsever","doi":"10.1016/j.jvolgeores.2017.03.001","usgsCitation":"Werner, C., Kern, C., Coppola, D., Lyons, J.J., Kelly, P.J., Wallace, K.L., Schneider, D.J., and Wessels, R., 2017, Magmatic degassing, lava dome extrusion, and explosions from Mount Cleveland volcano, Alaska, 2011–2015: Insight into the continuous nature of volcanic activity over multi-year timescales: Journal of Volcanology and Geothermal Research, v. 337, p. 98-110, https://doi.org/10.1016/j.jvolgeores.2017.03.001.","productDescription":"13 p.","startPage":"98","endPage":"110","ipdsId":"IP-081346","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469894,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://hdl.handle.net/2318/1652262","text":"Publisher Index Page"},{"id":347945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Mount Cleveland Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -171.650390625,\n 52.22443459871999\n ],\n [\n -166.57470703125,\n 52.22443459871999\n ],\n [\n -166.57470703125,\n 54.04971418210692\n ],\n [\n -171.650390625,\n 54.04971418210692\n ],\n [\n -171.650390625,\n 52.22443459871999\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"337","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f98bb7e4b0531197af9ff0","contributors":{"authors":[{"text":"Werner, Cynthia","contributorId":198599,"corporation":false,"usgs":false,"family":"Werner","given":"Cynthia","affiliations":[],"preferred":false,"id":716519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":716518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coppola, Diego","contributorId":190919,"corporation":false,"usgs":false,"family":"Coppola","given":"Diego","email":"","affiliations":[],"preferred":false,"id":716520,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":716521,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelly, Peter J. 0000-0002-3868-1046 pkelly@usgs.gov","orcid":"https://orcid.org/0000-0002-3868-1046","contributorId":5931,"corporation":false,"usgs":true,"family":"Kelly","given":"Peter","email":"pkelly@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":716522,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wallace, Kristi L. 0000-0002-0962-048X kwallace@usgs.gov","orcid":"https://orcid.org/0000-0002-0962-048X","contributorId":3454,"corporation":false,"usgs":true,"family":"Wallace","given":"Kristi","email":"kwallace@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":716523,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schneider, David J. 0000-0001-9092-1054 djschneider@usgs.gov","orcid":"https://orcid.org/0000-0001-9092-1054","contributorId":198601,"corporation":false,"usgs":true,"family":"Schneider","given":"David","email":"djschneider@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":716524,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wessels, Rick 0000-0001-9711-6402 rwessels@usgs.gov","orcid":"https://orcid.org/0000-0001-9711-6402","contributorId":198602,"corporation":false,"usgs":true,"family":"Wessels","given":"Rick","email":"rwessels@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":716525,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70192744,"text":"70192744 - 2017 - The history of mercury pollution near the Spolana chlor-alkali plant (Neratovice, Czech Republic) as recorded by Scots pine tree rings and other bioindicators","interactions":[],"lastModifiedDate":"2017-11-13T14:19:34","indexId":"70192744","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"The history of mercury pollution near the Spolana chlor-alkali plant (Neratovice, Czech Republic) as recorded by Scots pine tree rings and other bioindicators","docAbstract":"

We assessed > 100 years of mercury (Hg) pollution recorded in the tree rings of Scots Pine near a Czech chlor-alkali plant operating since 1941. Hg concentrations in tree rings increased with the launching of plant operations and decreased when Hg emissions decreased in 1975 due to an upgrade in production technology. Similar to traditional bioindicators of pollution such as pine needles, bark and forest floor humus, Hg concentrations in Scots Pine boles decreased with distance from the plant. Mean Hg in pine bole in the 1940s ranged from 32.5 μg/kg Hg at a distance of 0.5 km from the plant to 5.4 μg/kg at a distance of > 4.7 km, where tree ring Hg was the same as at a reference site, and other bioindicators also suggest that the effect of the plant was no longer discernible. Tree ring Hg concentrations decreased by 8–29 μg/kg since the 1940s at all study sites including the reference site. The lack of exact correspondence between changes at the plant and tree ring Hg indicated some smearing of the signal due to lateral translocation of Hg from sapwood to heartwood. Bole Hg concentrations reflected local and regional atmospheric Hg concentrations, and not Hg wet deposition.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.02.112","usgsCitation":"Navrátil, T., Simecek, M., Shanley, J.B., Rohovec, J., Hojdova, M., and Houska, J., 2017, The history of mercury pollution near the Spolana chlor-alkali plant (Neratovice, Czech Republic) as recorded by Scots pine tree rings and other bioindicators: Science of the Total Environment, v. 586, https://doi.org/10.1016/j.scitotenv.2017.02.112.","productDescription":"11 p.","startPage":"1192","ipdsId":"IP-083992","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":348713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Czech Republic","city":"Neratovice","otherGeospatial":"Spolana chlor-alkali plant","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 14.4580078125,\n 50.20898843999949\n ],\n [\n 14.590530395507812,\n 50.20898843999949\n ],\n [\n 14.590530395507812,\n 50.3077613106073\n ],\n [\n 14.4580078125,\n 50.3077613106073\n ],\n [\n 14.4580078125,\n 50.20898843999949\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"586","edition":"1182","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fbd6e4b06e28e9c236d7","contributors":{"authors":[{"text":"Navrátil, Tomáš","contributorId":149720,"corporation":false,"usgs":false,"family":"Navrátil","given":"Tomáš","affiliations":[{"id":17790,"text":"Czech Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":716807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simecek, Martin","contributorId":198385,"corporation":false,"usgs":false,"family":"Simecek","given":"Martin","email":"","affiliations":[{"id":35216,"text":"Institute of Geology AS CR, v.v.i., Rozvojová 269, 165 00 Prague 6, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":716808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":716806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rohovec, Jan","contributorId":149721,"corporation":false,"usgs":false,"family":"Rohovec","given":"Jan","email":"","affiliations":[{"id":17790,"text":"Czech Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":716809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hojdova, Maria","contributorId":198685,"corporation":false,"usgs":false,"family":"Hojdova","given":"Maria","email":"","affiliations":[{"id":35739,"text":"Institute of Geology of CAS, v.v.i., Rozvojová 269, 165 00 Prague 6, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":716810,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Houska, Jakub","contributorId":198386,"corporation":false,"usgs":false,"family":"Houska","given":"Jakub","email":"","affiliations":[{"id":29875,"text":"Czech University of Life Sciences, Praha 6-Suchdol, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":716811,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192458,"text":"70192458 - 2017 - Global Positioning System data collection, processing, and analysis conducted by the U.S. Geological Survey Earthquake Hazards Program","interactions":[],"lastModifiedDate":"2017-10-26T13:46:25","indexId":"70192458","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Global Positioning System data collection, processing, and analysis conducted by the U.S. Geological Survey Earthquake Hazards Program","docAbstract":"

The U.S. Geological Survey Earthquake Science Center collects and processes Global Positioning System (GPS) data throughout the western United States to measure crustal deformation related to earthquakes and tectonic processes as part of a long‐term program of research and monitoring. Here, we outline data collection procedures and present the GPS dataset built through repeated temporary deployments since 1992. This dataset consists of observations at ∼1950 locations. In addition, this article details our data processing and analysis procedures, which consist of the following. We process the raw data collected through temporary deployments, in addition to data from continuously operating western U.S. GPS stations operated by multiple agencies, using the GIPSY software package to obtain position time series. Subsequently, we align the positions to a common reference frame, determine the optimal parameters for a temporally correlated noise model, and apply this noise model when carrying out time‐series analysis to derive deformation measures, including constant interseismic velocities, coseismic offsets, and transient postseismic motion.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160204","usgsCitation":"Murray, J.R., and Svarc, J.L., 2017, Global Positioning System data collection, processing, and analysis conducted by the U.S. Geological Survey Earthquake Hazards Program: Seismological Research Letters, v. 88, no. 3, p. 916-925, https://doi.org/10.1785/0220160204.","productDescription":"10 p.","startPage":"916","endPage":"925","ipdsId":"IP-081230","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-01","publicationStatus":"PW","scienceBaseUri":"5a07e8f7e4b09af898c8cbdd","contributors":{"authors":[{"text":"Murray, Jessica R. 0000-0002-6144-1681 jrmurray@usgs.gov","orcid":"https://orcid.org/0000-0002-6144-1681","contributorId":2759,"corporation":false,"usgs":true,"family":"Murray","given":"Jessica","email":"jrmurray@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":715955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Svarc, Jerry L. 0000-0002-2802-4528 jsvarc@usgs.gov","orcid":"https://orcid.org/0000-0002-2802-4528","contributorId":2413,"corporation":false,"usgs":true,"family":"Svarc","given":"Jerry","email":"jsvarc@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":715956,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192811,"text":"70192811 - 2017 - Cosmogenic nuclide age estimate for Laurentide Ice Sheet recession from the terminal moraine, New Jersey, USA, and constraints on latest Pleistocene ice sheet history","interactions":[],"lastModifiedDate":"2017-11-13T13:25:46","indexId":"70192811","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Cosmogenic nuclide age estimate for Laurentide Ice Sheet recession from the terminal moraine, New Jersey, USA, and constraints on latest Pleistocene ice sheet history","docAbstract":"

The time at which the Laurentide Ice Sheet reached its maximum extent and subsequently retreated from its terminal moraine in New Jersey has been constrained by bracketing radiocarbon ages on preglacial and postglacial sediments. Here, we present measurements of in situ produced 10Be and 26Al in 16 quartz-bearing samples collected from bedrock outcrops and glacial erratics just north of the terminal moraine in north-central New Jersey; as such, our ages represent a minimum limit on the timing of ice recession from the moraine. The data set includes field and laboratory replicates, as well as replication of the entire data set five years after initial measurement. We find that recession of the Laurentide Ice Sheet from the terminal moraine in New Jersey began before 25.2±2.1 ka (10Be, n=16, average, 1 standard deviation). This cosmogenic nuclide exposure age is consistent with existing limiting radiocarbon ages in the study area and cosmogenic nuclide exposure ages from the terminal moraine on Martha’s Vineyard ~300 km to the northeast. The age we propose for Laurentide Ice Sheet retreat from the New Jersey terminal position is broadly consistent with regional and global climate records of the last glacial maximum termination and records of fluvial incision.

","language":"English","publisher":"Cambridge University Press","doi":"10.1017/qua.2017.11","usgsCitation":"Corbett, L.B., Bierman, P., Stone, B.D., Caffee, M.W., and Larsen, P.L., 2017, Cosmogenic nuclide age estimate for Laurentide Ice Sheet recession from the terminal moraine, New Jersey, USA, and constraints on latest Pleistocene ice sheet history: Quaternary Research, v. 87, no. 3, p. 482-498, https://doi.org/10.1017/qua.2017.11.","productDescription":"17 p.","startPage":"482","endPage":"498","ipdsId":"IP-077896","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":348702,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","volume":"87","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-18","publicationStatus":"PW","scienceBaseUri":"5a60fbd6e4b06e28e9c236d3","contributors":{"authors":[{"text":"Corbett, Lee B.","contributorId":152123,"corporation":false,"usgs":false,"family":"Corbett","given":"Lee","email":"","middleInitial":"B.","affiliations":[{"id":17809,"text":"University of Vermont, Burlington","active":true,"usgs":false}],"preferred":false,"id":717037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bierman, Paul R.","contributorId":198743,"corporation":false,"usgs":false,"family":"Bierman","given":"Paul R.","affiliations":[{"id":17809,"text":"University of Vermont, Burlington","active":true,"usgs":false}],"preferred":false,"id":717038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, Byron D. 0000-0001-6092-0798 bdstone@usgs.gov","orcid":"https://orcid.org/0000-0001-6092-0798","contributorId":1702,"corporation":false,"usgs":true,"family":"Stone","given":"Byron","email":"bdstone@usgs.gov","middleInitial":"D.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":717036,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caffee, Marc W. 0000-0002-6846-8967","orcid":"https://orcid.org/0000-0002-6846-8967","contributorId":193417,"corporation":false,"usgs":false,"family":"Caffee","given":"Marc","email":"","middleInitial":"W.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":717039,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larsen, Patrick L.","contributorId":198744,"corporation":false,"usgs":false,"family":"Larsen","given":"Patrick","email":"","middleInitial":"L.","affiliations":[{"id":17809,"text":"University of Vermont, Burlington","active":true,"usgs":false}],"preferred":false,"id":717040,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192057,"text":"70192057 - 2017 - Matching watershed and otolith chemistry to establish natal origin of an endangered desert lake sucker","interactions":[],"lastModifiedDate":"2017-10-19T15:58:32","indexId":"70192057","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Matching watershed and otolith chemistry to establish natal origin of an endangered desert lake sucker","docAbstract":"

Stream habitat restoration and supplemental stocking of hatchery-reared fish have increasingly become key components of recovery plans for imperiled freshwater fish; however, determining when to discontinue stocking efforts, prioritizing restoration areas, and evaluating restoration success present a conservation challenge. In this study, we demonstrate that otolith microchemistry is an effective tool for establishing natal origin of the June Sucker Chasmistes liorus, an imperiled potamodromous fish. This approach allows us to determine whether a fish is of wild or hatchery origin in order to assess whether habitat restoration enhances recruitment and to further identify areas of critical habitat. Our specific objectives were to (1) quantify and characterize chemical variation among three main spawning tributaries; (2) understand the relationship between otolith microchemistry and tributary chemistry; and (3) develop and validate a classification model to identify stream origin using otolith microchemistry data. We quantified molar ratios of Sr:Ca, Ba:Ca, and Mg:Ca for water and otolith chemistry from three main tributaries to Utah Lake, Utah, during the summer of 2013. Water chemistry (loge transformed Sr:Ca, Ba:Ca, and Mg:Ca ratios) differed significantly across all three spawning tributaries. We determined that Ba:Ca and Sr:Ca ratios were the most important variables driving our classification models, and we observed a strong linear relationship between water and otolith values for Sr:Ca and Ba:Ca but not for Mg:Ca. Classification models derived from otolith element : Ca signatures accurately sorted individuals to their experimental tributary of origin (classification tree: 89% accuracy; random forest model: 91% accuracy) and determined wild versus hatchery origin with 100% accuracy. Overall, this study aids in evaluating the effectiveness of restoration, tracking progress toward recovery, and prioritizing future restoration plans for fishes of conservation concern. Our results have further application, such as identifying subpopulations that provide the greatest reproductive contribution to a metapopulation or finding the reproductive area and origin of invasive fishes.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1301994","usgsCitation":"Strohm, D.D., Budy, P., and Crowl, T.A., 2017, Matching watershed and otolith chemistry to establish natal origin of an endangered desert lake sucker: Transactions of the American Fisheries Society, v. 146, no. 4, p. 732-743, https://doi.org/10.1080/00028487.2017.1301994.","productDescription":"12 p.","startPage":"732","endPage":"743","ipdsId":"IP-069787","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469888,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1080/00028487.2017.1301994","text":"External Repository"},{"id":347006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Utah Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.75704956054688,\n 40.158410030219486\n ],\n [\n -111.65061950683594,\n 40.158410030219486\n ],\n [\n -111.65061950683594,\n 40.247039698452085\n ],\n [\n -111.75704956054688,\n 40.247039698452085\n ],\n [\n -111.75704956054688,\n 40.158410030219486\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"146","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-22","publicationStatus":"PW","scienceBaseUri":"59e9b995e4b05fe04cd65c92","contributors":{"authors":[{"text":"Strohm, Deanna D.","contributorId":197742,"corporation":false,"usgs":false,"family":"Strohm","given":"Deanna","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":714188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budy, Phaedra E. 0000-0002-9918-1678 pbudy@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":140028,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","email":"pbudy@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714031,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crowl, Todd A.","contributorId":197743,"corporation":false,"usgs":false,"family":"Crowl","given":"Todd","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":714189,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193810,"text":"70193810 - 2017 - White-cheeked Pintail duckling and brood survival across wetland types at Humacao Nature Reserve, Puerto Rico","interactions":[],"lastModifiedDate":"2017-11-06T10:59:57","indexId":"70193810","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"White-cheeked Pintail duckling and brood survival across wetland types at Humacao Nature Reserve, Puerto Rico","docAbstract":"

Duckling survival is an important influence on recruitment in several North American Anas species. White-cheeked Pintail (Anas bahamensis) breeding in Puerto Rico encounter a variety of wetland types that may influence duckling survival. We monitored fates of 92 radio-tagged ducklings in 31 broods in 5 wetland habitat types at Humacao Nature Reserve in southeastern Puerto Rico from 2000 to 2002. Wetlands included 2 separate coastal lagoon complexes, mangrove forest, and managed and unmanaged wetland impoundments containing herbaceous vegetation. We used known-fate models to estimate daily and interval survival rates of ducklings and broods. We conducted conservative and liberal analyses of survival because of uncertain fates of 36 ducklings. In the conservative analysis, the most parsimonious model for duckling survival contained wetland type and a positive influence of daily precipitation. In the liberal analysis, duckling survival also varied among wetlands, was positively influenced by daily precipitation, but negatively influenced by hatch date. Brood survival was also positively influenced by precipitation and female body mass. Managed wetland impoundments and shallowly flooded lagoon habitats containing ferns, interspersed cattail (Typha dominguensis), and other herbaceous cover promoted up to 3 times higher survival of ducklings over the course of a 30-day duckling period than we found in mangroves, more deeply flooded lagoons with predominately restricted shoreline cover, or unmanaged impoundments overgrown with vegetation. Broad confidence intervals for survival estimates among wetlands preclude unequivocal interpretation, but our results suggest that White-cheeked Pintail ducklings survive poorly in mangroves but benefit from appropriate management.

","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-16-169.1","usgsCitation":"Davis, J.B., Vilella, F., Lancaster, J.D., Lopez-Flores, M., Kaminski, R.M., and Cruz-Burgos, J.A., 2017, White-cheeked Pintail duckling and brood survival across wetland types at Humacao Nature Reserve, Puerto Rico: Condor, v. 119, no. 2, p. 308-320, https://doi.org/10.1650/CONDOR-16-169.1.","productDescription":"13 p.","startPage":"308","endPage":"320","ipdsId":"IP-079748","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469874,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-16-169.1","text":"Publisher Index Page"},{"id":348250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Humacao Nature Reserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.78699111938477,\n 18.131822535661165\n ],\n [\n -65.72742462158203,\n 18.131822535661165\n ],\n [\n -65.72742462158203,\n 18.19559753948241\n ],\n [\n -65.78699111938477,\n 18.19559753948241\n ],\n [\n -65.78699111938477,\n 18.131822535661165\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"119","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e8f6e4b09af898c8cbd5","contributors":{"authors":[{"text":"Davis, J. Brian hdavis@usgs.gov","contributorId":199997,"corporation":false,"usgs":false,"family":"Davis","given":"J.","email":"hdavis@usgs.gov","middleInitial":"Brian","affiliations":[],"preferred":false,"id":720581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vilella, Francisco 0000-0003-1552-9989 fvilella@usgs.gov","orcid":"https://orcid.org/0000-0003-1552-9989","contributorId":171363,"corporation":false,"usgs":true,"family":"Vilella","given":"Francisco","email":"fvilella@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":720580,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lancaster, Joseph D.","contributorId":199998,"corporation":false,"usgs":false,"family":"Lancaster","given":"Joseph","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":720582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lopez-Flores, Marisel","contributorId":199999,"corporation":false,"usgs":false,"family":"Lopez-Flores","given":"Marisel","email":"","affiliations":[],"preferred":false,"id":720583,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kaminski, Richard M.","contributorId":78205,"corporation":false,"usgs":false,"family":"Kaminski","given":"Richard","email":"","middleInitial":"M.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":720584,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cruz-Burgos, Jose A.","contributorId":200001,"corporation":false,"usgs":false,"family":"Cruz-Burgos","given":"Jose","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":720585,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70187846,"text":"70187846 - 2017 - Mercury","interactions":[],"lastModifiedDate":"2017-05-26T12:42:19","indexId":"70187846","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Mercury","docAbstract":"

No abstract available.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of geochemistry","language":"English","publisher":"Springer","doi":"10.1007/978-3-319-39193-9_121-1","usgsCitation":"Alpers, C.N., 2017, Mercury, chap. of Encyclopedia of geochemistry, p. 1-6, https://doi.org/10.1007/978-3-319-39193-9_121-1.","productDescription":"6 p.","startPage":"1","endPage":"6","ipdsId":"IP-080638","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":341802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-17","publicationStatus":"PW","scienceBaseUri":"59293e97e4b016f7a9407705","contributors":{"authors":[{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":695723,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70193740,"text":"70193740 - 2017 - Automatic mapping of the base of aquifer — A case study from Morrill, Nebraska","interactions":[],"lastModifiedDate":"2017-11-06T11:01:35","indexId":"70193740","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3906,"text":"Interpretation","active":true,"publicationSubtype":{"id":10}},"title":"Automatic mapping of the base of aquifer — A case study from Morrill, Nebraska","docAbstract":"

When a geologist sets up a geologic model, various types of disparate information may be available, such as exposures, boreholes, and (or) geophysical data. In recent years, the amount of geophysical data available has been increasing, a trend that is only expected to continue. It is nontrivial (and often, in practice, impossible) for the geologist to take all the details of the geophysical data into account when setting up a geologic model. We have developed an approach that allows for the objective quantification of information from geophysical data and borehole observations in a way that is easy to integrate in the geologic modeling process. This will allow the geologist to make a geologic interpretation that is consistent with the geophysical information at hand. We have determined that automated interpretation of geologic layer boundaries using information from boreholes and geophysical data alone can provide a good geologic layer model, even before manual interpretation has begun. The workflow is implemented on a set of boreholes and airborne electromagnetic (AEM) data from Morrill, Nebraska. From the borehole logs, information about the depth to the base of aquifer (BOA) is extracted and used together with the AEM data to map a surface that represents this geologic contact. Finally, a comparison between our automated approach and a previous manual mapping of the BOA in the region validates the quality of the proposed method and suggests that this workflow will allow a much faster and objective geologic modeling process that is consistent with the available data.

","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/INT-2016-0195.1","usgsCitation":"Gulbrandsen, M.L., Ball, L.B., Minsley, B.J., and Hansen, T.M., 2017, Automatic mapping of the base of aquifer — A case study from Morrill, Nebraska: Interpretation, v. 5, no. 2, p. T231-T241, https://doi.org/10.1190/INT-2016-0195.1.","productDescription":"11 p.","startPage":"T231","endPage":"T241","ipdsId":"IP-081039","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":348252,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","city":"Morrill","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.05975341796875,\n 41.9167\n ],\n [\n -103.8333,\n 41.9167\n ],\n [\n -103.8333,\n 42.1667\n ],\n [\n -104.05975341796875,\n 42.1667\n ],\n [\n -104.05975341796875,\n 41.9167\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e8f7e4b09af898c8cbd9","contributors":{"authors":[{"text":"Gulbrandsen, Mats Lundh","contributorId":199734,"corporation":false,"usgs":false,"family":"Gulbrandsen","given":"Mats","email":"","middleInitial":"Lundh","affiliations":[{"id":27198,"text":"Niels Bohr Institute, University of Copenhagen","active":true,"usgs":false}],"preferred":false,"id":720136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":720135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":720137,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Thomas Mejer","contributorId":199735,"corporation":false,"usgs":false,"family":"Hansen","given":"Thomas","email":"","middleInitial":"Mejer","affiliations":[{"id":27198,"text":"Niels Bohr Institute, University of Copenhagen","active":true,"usgs":false}],"preferred":false,"id":720138,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}