{"pageNumber":"881","pageRowStart":"22000","pageSize":"25","recordCount":165505,"records":[{"id":70195499,"text":"70195499 - 2017 - Testing the limits of temporal stability: Willingness to pay values among Grand Canyon whitewater boaters across decades","interactions":[],"lastModifiedDate":"2018-02-18T13:58:46","indexId":"70195499","displayToPublicDate":"2018-02-18T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Testing the limits of temporal stability: Willingness to pay values among Grand Canyon whitewater boaters across decades","docAbstract":"<p>We directly compare trip willingness to pay (WTP) values between 1985 and 2015 stated preference surveys of private party Grand Canyon boaters using identically designed valuation methods. The temporal gap of 30 years between these two studies is well beyond that of any tests of WTP temporal stability in the literature. Comparisons were made of mean WTP estimates for four hypothetical Colorado River flow level scenarios. WTP values from the 1985 survey were adjusted to 2015 levels using the consumer price index. Mean WTP precision was estimated through simulation. No statistically significant differences were detected between the adjusted Bishop et al. (1987) and the current study mean WTP estimates. Examination of pooled models of the data from the studies suggest that while the estimated WTP values are stable over time, the underlying valuation functions may not be, particularly when the data and models are corrected to account for differing bid structures and possible panel effects.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017WR020729","usgsCitation":"Neher, C.J., Duffield, J., Bair, L.S., Patterson, D.A., and Neher, K., 2017, Testing the limits of temporal stability: Willingness to pay values among Grand Canyon whitewater boaters across decades: Water Resources Research, v. 53, no. 12, p. 10108-10120, https://doi.org/10.1002/2017WR020729.","productDescription":"13 p.","startPage":"10108","endPage":"10120","ipdsId":"IP-084682","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":461315,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017wr020729","text":"Publisher Index Page"},{"id":438113,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7M044C9","text":"USGS data release","linkHelpText":"Grand Canyon Whitewater Boater Data, Temporal Stability of Willingness to Pay Values"},{"id":351777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","volume":"53","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee788e4b0da30c1bfc2be","contributors":{"authors":[{"text":"Neher, Chris J.","contributorId":202569,"corporation":false,"usgs":false,"family":"Neher","given":"Chris","email":"","middleInitial":"J.","affiliations":[{"id":36482,"text":"Department of Mathematical Sciences, University of Montana","active":true,"usgs":false}],"preferred":false,"id":728925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duffield, John","contributorId":202570,"corporation":false,"usgs":false,"family":"Duffield","given":"John","email":"","affiliations":[{"id":36482,"text":"Department of Mathematical Sciences, University of Montana","active":true,"usgs":false}],"preferred":false,"id":728926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bair, Lucas S. 0000-0002-9911-3624 lbair@usgs.gov","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":5270,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","email":"lbair@usgs.gov","middleInitial":"S.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":728924,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patterson, David A.","contributorId":175326,"corporation":false,"usgs":false,"family":"Patterson","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":36482,"text":"Department of Mathematical Sciences, University of Montana","active":true,"usgs":false}],"preferred":false,"id":728927,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neher, Katherine","contributorId":202571,"corporation":false,"usgs":false,"family":"Neher","given":"Katherine","email":"","affiliations":[{"id":36483,"text":"Bioeconomics, Inc. Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":728928,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195159,"text":"70195159 - 2017 - Control of landslide volume and hazard by glacial stratigraphic architecture, Northwest Washington state, USA","interactions":[],"lastModifiedDate":"2018-02-08T09:31:33","indexId":"70195159","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Control of landslide volume and hazard by glacial stratigraphic architecture, Northwest Washington state, USA","docAbstract":"Landslide volumes span many orders of magnitude, but large-volume slides tend to travel\nfarther and consequently can pose a greater hazard. In northwest Washington State, USA, a\nlandscape abounding with landslides big and small, the recent occurrence of the large-volume\nand tragically deadly State Route 530 (Oso) landslide is a stark reminder of the hazards\nassociated with glacial terraces lining valleys of the western Cascade Range. What controls\nthe differences in location and size of these slope failures? Here, we examine the control on\nlandslide volume and failure style by terrace sedimentary architecture. We analyze lidar\ntopographic data in three nearby valleys and find significant variation in landslide deposit\nvolumes, morphology, and relative mobility in each valley. Geologic data show that each site\ndiffers in the thickness and position of outwash, tills, and glaciolacustrine clays. Combining\na three-dimensional limit-equilibrium slope-stability analysis (Scoops3D) with simulations\nof variably saturated groundwater flow (VS2Dt), we show that landslide volumes are highly\nsensitive both to the distribution of material strength as well as the location of perched water\ntables. Modeled landslides match observed failure sizes and depths in all valleys when the\neffects of variably saturated groundwater flow are included. The position and thickness of\nlow-strength strata act as first-order controls on landslide volume, with peak volumes for\nstratigraphic geometries similar to that of the valley containing the Oso landslide. Knowledge\nof feedbacks between lithology and hydrology is therefore critical to assess the landslide\nhazard and evolution of landscapes composed of stratigraphically layered units.","language":"English","publisher":"Geological Society of America","doi":"10.1130/G39691.1","usgsCitation":"Perkins, J., Reid, M.E., and Schmidt, K.M., 2017, Control of landslide volume and hazard by glacial stratigraphic architecture, Northwest Washington state, USA: Geology, v. 45, no. 12, p. 1139-1142, https://doi.org/10.1130/G39691.1.","productDescription":"4 p.","startPage":"1139","endPage":"1142","ipdsId":"IP-086196","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":351303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -126.7822265625,\n              45.9511496866914\n            ],\n            [\n              -119.0478515625,\n              45.9511496866914\n            ],\n            [\n              -119.0478515625,\n              49.56797785892715\n            ],\n            [\n              -126.7822265625,\n              49.56797785892715\n            ],\n            [\n              -126.7822265625,\n              45.9511496866914\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-19","publicationStatus":"PW","scienceBaseUri":"5a7c1e6de4b00f54eb22929b","contributors":{"authors":[{"text":"Perkins, Jonathan","contributorId":201949,"corporation":false,"usgs":true,"family":"Perkins","given":"Jonathan","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":727247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reid, Mark E. 0000-0002-5595-1503 mreid@usgs.gov","orcid":"https://orcid.org/0000-0002-5595-1503","contributorId":1167,"corporation":false,"usgs":true,"family":"Reid","given":"Mark","email":"mreid@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":727248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Kevin M. 0000-0003-2365-8035 kschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-2365-8035","contributorId":1985,"corporation":false,"usgs":true,"family":"Schmidt","given":"Kevin","email":"kschmidt@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":727249,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195008,"text":"70195008 - 2017 - Operationalizing the telecoupling framework for migratory species using the spatial subsidies approach to examine ecosystem services provided by Mexican free-tailed bats","interactions":[],"lastModifiedDate":"2020-09-01T20:33:42.624469","indexId":"70195008","displayToPublicDate":"2018-02-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Operationalizing the telecoupling framework for migratory species using the spatial subsidies approach to examine ecosystem services provided by Mexican free-tailed bats","docAbstract":"Drivers of environmental change in one location can have profound effects on ecosystem services and human well-being in distant locations, often across international borders. The telecoupling provides a conceptual framework for describing these interactions—for example, locations can be defined as sending areas (sources of flows of ecosystem services, energy, or information) or receiving areas (recipients of flows). However, the ability to quantify feedbacks between ecosystem change in one area and societal benefits in other areas requires analytical approaches. We use spatial subsidies—an approach developed to measure the degree to which a migratory species’ ability to provide services in one location depends on habitat in another location—as an example of how telecoupling can be operationalized. Using the cotton pest control and ecotourism services of Mexican free-tailed bats as an example, we determined that of the 16 states in the United States and Mexico where the species resides, three states (Texas, New Mexico, and Colorado) are receiving areas, while the rest of the states are sending areas. In addition, the magnitude of spatial subsidy can be used as an indicator of the degree to which different locations are telecoupled to other locations. In this example, the Mexican free-tailed bat ecosystem services to cotton production and ecotourism in Texas and New Mexico are heavily dependent on winter habitat in four states in central and southern Mexico. In sum, spatial subsidies can be used to operationalize the telecoupling conceptual framework by identifying sending and receiving areas, and by indicating the degree to which locations are telecoupled to other locations.","language":"English","publisher":"The Resilience Alliance","doi":"10.5751/ES-09589-220423","usgsCitation":"Lopez Hoffman, L., Diffendorfer, J., Widerholt, R., Thogmartin, W.E., McCraken, G., Medellin, R., Bagstad, K.J., Russell, A., and Semmens, D.J., 2017, Operationalizing the telecoupling framework for migratory species using the spatial subsidies approach to examine ecosystem services provided by Mexican free-tailed bats: Ecology and Society, v. 22, no. 4, 23, 8 p., https://doi.org/10.5751/ES-09589-220423.","productDescription":"23, 8 p.","ipdsId":"IP-085597","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":469219,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-09589-220423","text":"Publisher Index Page"},{"id":350951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.34374999999999,\n              14.179186142354181\n            ],\n            [\n              -90.791015625,\n              14.179186142354181\n            ],\n            [\n              -90.791015625,\n              36.59788913307022\n            ],\n            [\n              -122.34374999999999,\n              36.59788913307022\n            ],\n            [\n              -122.34374999999999,\n              14.179186142354181\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"22","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7586d6e4b00f54eb1d81e0","contributors":{"authors":[{"text":"Lopez Hoffman, Laura","contributorId":201605,"corporation":false,"usgs":false,"family":"Lopez Hoffman","given":"Laura","email":"","affiliations":[{"id":28236,"text":"Univ of Arizona","active":true,"usgs":false}],"preferred":false,"id":726550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":726549,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Widerholt, Ruscena","contributorId":201606,"corporation":false,"usgs":false,"family":"Widerholt","given":"Ruscena","email":"","affiliations":[{"id":17761,"text":"Everglades Foundation","active":true,"usgs":false}],"preferred":false,"id":726551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":726552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCraken, Gary","contributorId":201607,"corporation":false,"usgs":false,"family":"McCraken","given":"Gary","email":"","affiliations":[{"id":36217,"text":"Univ of Tennessee","active":true,"usgs":false}],"preferred":false,"id":726553,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Medellin, Rodrigo","contributorId":201608,"corporation":false,"usgs":false,"family":"Medellin","given":"Rodrigo","affiliations":[{"id":36218,"text":"UNAM Mexico City","active":true,"usgs":false}],"preferred":false,"id":726554,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":726555,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Russell, Amy","contributorId":149129,"corporation":false,"usgs":false,"family":"Russell","given":"Amy","affiliations":[{"id":17656,"text":"Department of Biology, Grand Valley State University, Allendale, MI","active":true,"usgs":false}],"preferred":false,"id":726556,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":726557,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70195005,"text":"70195005 - 2017 - A general modeling framework for describing spatially structured population dynamics","interactions":[],"lastModifiedDate":"2018-02-05T10:14:37","indexId":"70195005","displayToPublicDate":"2018-02-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A general modeling framework for describing spatially structured population dynamics","docAbstract":"Variation in movement across time and space fundamentally shapes the abundance and distribution of populations. Although a variety of approaches model structured population dynamics, they are limited to specific types of spatially structured populations and lack a unifying framework. Here, we propose a unified network-based framework sufficiently novel in its flexibility to capture a wide variety of spatiotemporal processes including metapopulations and a range of migratory patterns. It can accommodate different kinds of age structures, forms of population growth, dispersal, nomadism and migration, and alternative life-history strategies. Our objective was to link three general elements common to all spatially structured populations (space, time and movement) under a single mathematical framework. To do this, we adopt a network modeling approach. The spatial structure of a population is represented by a weighted and directed network. Each node and each edge has a set of attributes which vary through time. The dynamics of our network-based population is modeled with discrete time steps. Using both theoretical and real-world examples, we show how common elements recur across species with disparate movement strategies and how they can be combined under a unified mathematical framework. We illustrate how metapopulations, various migratory patterns, and nomadism can be represented with this modeling approach. We also apply our network-based framework to four organisms spanning a wide range of life histories, movement patterns, and carrying capacities. General computer code to implement our framework is provided, which can be applied to almost any spatially structured population. This framework contributes to our theoretical understanding of population dynamics and has practical management applications, including understanding the impact of perturbations on population size, distribution, and movement patterns. By working within a common framework, there is less chance that comparative analyses are colored by model details rather than general principles","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3685","usgsCitation":"Sample, C., Fryxell, J., Bieri, J., Federico, P., Earl, J., Wiederholt, R., Mattsson, B., Flockhart, T., Nicol, S., Diffendorfer, J., Thogmartin, W.E., Erickson, R.A., and Norris, D.R., 2017, A general modeling framework for describing spatially structured population dynamics: Ecology and Evolution, v. 8, no. 1, p. 493-508, https://doi.org/10.1002/ece3.3685.","productDescription":"16 p.","startPage":"493","endPage":"508","ipdsId":"IP-084172","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":469220,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3685","text":"Publisher Index Page"},{"id":350953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-30","publicationStatus":"PW","scienceBaseUri":"5a7586d7e4b00f54eb1d81e3","contributors":{"authors":[{"text":"Sample, Christine","contributorId":201597,"corporation":false,"usgs":false,"family":"Sample","given":"Christine","affiliations":[{"id":35881,"text":"Emmanuel College","active":true,"usgs":false}],"preferred":false,"id":726528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fryxell, John","contributorId":201598,"corporation":false,"usgs":false,"family":"Fryxell","given":"John","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":726529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bieri, Joanna A.","contributorId":201599,"corporation":false,"usgs":false,"family":"Bieri","given":"Joanna A.","affiliations":[{"id":36213,"text":"University of Redlands","active":true,"usgs":false}],"preferred":false,"id":726530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Federico, Paula","contributorId":201600,"corporation":false,"usgs":false,"family":"Federico","given":"Paula","affiliations":[{"id":35880,"text":"Capital University","active":true,"usgs":false}],"preferred":false,"id":726531,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Earl, Julia","contributorId":199132,"corporation":false,"usgs":false,"family":"Earl","given":"Julia","affiliations":[],"preferred":false,"id":726532,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wiederholt, Ruscena","contributorId":171611,"corporation":false,"usgs":false,"family":"Wiederholt","given":"Ruscena","email":"","affiliations":[{"id":12738,"text":"U of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":726533,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mattsson, Brady J.","contributorId":171612,"corporation":false,"usgs":false,"family":"Mattsson","given":"Brady J.","affiliations":[{"id":26928,"text":"Univ. of Vienna","active":true,"usgs":false}],"preferred":false,"id":726534,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Flockhart, Tyler","contributorId":201601,"corporation":false,"usgs":false,"family":"Flockhart","given":"Tyler","email":"","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":726535,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Nicol, Sam","contributorId":171610,"corporation":false,"usgs":false,"family":"Nicol","given":"Sam","email":"","affiliations":[{"id":26927,"text":"CSIRO, Australia","active":true,"usgs":false}],"preferred":false,"id":726536,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":726527,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":726537,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":726538,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Norris, D. Ryan","contributorId":59734,"corporation":false,"usgs":true,"family":"Norris","given":"D.","email":"","middleInitial":"Ryan","affiliations":[],"preferred":false,"id":726539,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70194990,"text":"70194990 - 2017 - Assessing the impacts of future climate conditions on the effectiveness of winter cover crops in reducing nitrate loads into the Chesapeake Bay Watershed using SWAT model","interactions":[],"lastModifiedDate":"2018-02-05T10:17:23","indexId":"70194990","displayToPublicDate":"2018-02-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3627,"text":"Transactions of the American Society of Agricultural and Biological Engineers","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the impacts of future climate conditions on the effectiveness of winter cover crops in reducing nitrate loads into the Chesapeake Bay Watershed using SWAT model","docAbstract":"Winter cover crops (WCCs) have been widely implemented in the Coastal Plain of the Chesapeake Bay watershed (CBW) due to their high effectiveness at reducing nitrate loads.  However, future climate conditions (FCCs) are expected to exacerbate water quality degradation in the CBW by increasing nitrate loads from agriculture.  Accordingly, the question remains whether WCCs are sufficient to mitigate increased nutrient loads caused by FCCs.  In this study, we assessed the impacts of FCCs on WCC nitrate reduction efficiency on the Coastal Plain of the CBW using Soil and Water Assessment Tool (SWAT) model.  Three FCC scenarios (2085 – 2098) were prepared using General Circulation Models (GCMs), considering three Intergovernmnental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) greenhouse gas emission scenarios.  We also developed six representative WCC implementation scenarios based on the most commonly used planting dates and species of WCCs in this region.  Simulation results showed that WCC biomass increased by ~ 58 % under FCC scenarios, due to climate conditions conducive to the WCC growth.  Prior to implementing WCCs, annual nitrate loads increased by ~ 43 % under FCC scenarios compared to the baseline scenario (2001 – 2014).  When WCCs were planted, annual nitrate loads were substantially reduced by ~ 48 % and WCC nitrate reduction efficiency water ~ 5 % higher under FCC scenarios relative to the baseline.  The increase rate of WCC nitrate reduction efficiency varied by FCC scenarios and WCC planting methods.  As CO2 concentration was higher and winters were warmer under FCC scenarios, WCCs had greater biomass and therefore showed higher nitrate reduction efficiency.  In response to FCC scenarios, the performance of less effective WCC practices (e.g., barley, wheat, and late planting) under the baseline indicated ~ 14 % higher increase rate of nitrate reduction efficiency compared to ones with better effectiveness under the baseline (e.g., rye and early planting), due to warmer  temperatures.  According to simulation results, WCCs were effective to mitigate nitrate loads accelerated by FCCs and therefore the role of WCCs in mitigating nitrate loads is even more important in the given FCCs.","language":"English","publisher":"ASABE","doi":"10.13031/trans.12390","usgsCitation":"Lee, S., Sadeghi, A.M., Yeo, I., McCarty, G.W., and Hively, W., 2017, Assessing the impacts of future climate conditions on the effectiveness of winter cover crops in reducing nitrate loads into the Chesapeake Bay Watershed using SWAT model: Transactions of the American Society of Agricultural and Biological Engineers, v. 60, no. 6, p. 1939-1955, https://doi.org/10.13031/trans.12390.","productDescription":"17 p.","startPage":"1939","endPage":"1955","ipdsId":"IP-090236","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":502649,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":350954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.574462890625,\n              37.055177106660814\n            ],\n            [\n              -74.827880859375,\n              37.055177106660814\n            ],\n            [\n              -74.827880859375,\n              39.816975090490004\n            ],\n            [\n              -77.574462890625,\n              39.816975090490004\n            ],\n            [\n              -77.574462890625,\n              37.055177106660814\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"60","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7586d8e4b00f54eb1d81e9","contributors":{"authors":[{"text":"Lee, Sangchul","contributorId":201237,"corporation":false,"usgs":false,"family":"Lee","given":"Sangchul","email":"","affiliations":[],"preferred":false,"id":726407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sadeghi, Ali M.","contributorId":131147,"corporation":false,"usgs":false,"family":"Sadeghi","given":"Ali","email":"","middleInitial":"M.","affiliations":[{"id":7262,"text":"USDA-ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705","active":true,"usgs":false}],"preferred":false,"id":726409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yeo, In-Young","contributorId":131145,"corporation":false,"usgs":false,"family":"Yeo","given":"In-Young","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":726408,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCarty, Gregory W.","contributorId":192367,"corporation":false,"usgs":false,"family":"McCarty","given":"Gregory","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":726410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hively, W. Dean whively@usgs.gov","contributorId":4919,"corporation":false,"usgs":true,"family":"Hively","given":"W. Dean","email":"whively@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":726406,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195017,"text":"70195017 - 2017 - Estimating the impact of oyster restoration scenarios on transient fish production","interactions":[],"lastModifiedDate":"2018-02-02T14:11:54","indexId":"70195017","displayToPublicDate":"2018-02-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the impact of oyster restoration scenarios on transient fish production","docAbstract":"<p><span>Oyster reef restoration projects are increasing in number both to enhance oyster density and to retain valuable ecosystem services provided by oyster reefs. Although some oyster restoration projects have demonstrated success by increasing density and biomass of transient fish, it still remains a challenge to quantify the effects of oyster restoration on transient fish communities. We developed a bioenergetics model to assess the impact of selected oyster reef restoration scenarios on associated transient fish species. We used the model to analyze the impact of changes in (1) oyster population carrying capacity; (2) oyster population growth rate; and (3) diet preference of transient fish on oyster reef development and associated transient fish species. Our model results indicate that resident fish biomass is directly affected by oyster restoration and oyster biomass, and oyster restoration can have cascading impacts on transient fish biomass. Furthermore, the results highlight the importance of a favorable oyster population growth rate during early restoration years, as it can lead to rapid increases in mean oyster biomass and biomass of transient fish species. The model also revealed that a transient fish's diet solely dependent on oyster reef-derived prey could limit the biomass of transient fish species, emphasizing the importance of habitat connectivity in estuarine areas to enhance transient fish species biomass. Simple bioenergetics models can be developed to understand the dynamics of a system and make qualitative predictions of management and restoration scenarios.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.12498","usgsCitation":"McCoy, E., Borrett, S.R., LaPeyre, M.K., and Peterson, B.J., 2017, Estimating the impact of oyster restoration scenarios on transient fish production: Restoration Ecology, v. 25, no. 5, p. 798-809, https://doi.org/10.1111/rec.12498.","productDescription":"12 p.","startPage":"798","endPage":"809","ipdsId":"IP-079135","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":350977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","volume":"25","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-02","publicationStatus":"PW","scienceBaseUri":"5a7586d6e4b00f54eb1d81dd","contributors":{"authors":[{"text":"McCoy, Elizabeth","contributorId":201616,"corporation":false,"usgs":false,"family":"McCoy","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":726577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Borrett, Stuart R.","contributorId":201617,"corporation":false,"usgs":false,"family":"Borrett","given":"Stuart","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":726578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":726576,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, Bradley J.","contributorId":84502,"corporation":false,"usgs":true,"family":"Peterson","given":"Bradley","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":726579,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70195020,"text":"70195020 - 2017 - Effects of lava heating on volatile-rich slopes on Io","interactions":[],"lastModifiedDate":"2018-11-01T14:42:54","indexId":"70195020","displayToPublicDate":"2018-02-02T00:00:00","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":"Effects of lava heating on volatile-rich slopes on Io","docAbstract":"The upper crust of Io may be very rich in volatile sulfur and SO2. The surface is also highly volcanically active, and slopes may be warmed by radiant heat from the lava. This is particularly the case in paterae, which commonly host volcanic eruptions and long-lived lava lakes. Paterae slopes are highly variable, but some are greater than 70°. I model the heating of a volatile slope for two end-member cases: instantaneous emplacement of a large sheet flow, and persistent heating by a long-lived lava lake. In general, single flows can briefly raise sulfur to the melting temperature, or drive a modest amount of sublimation of SO2. Persistently lava-covered surfaces will drive much more significant geomorphic effects, with potentially significant sublimation and slope retreat. In addition to the direct effects, heating is likely to weaken slope materials and may trigger mass wasting. Thus, if the upper crust of Io is rich in these volatile species, future missions with high-resolution imaging are likely to observe actively retreating slopes around lava lakes and other locations of frequent eruptions.","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JE005177","usgsCitation":"Dundas, C.M., 2017, Effects of lava heating on volatile-rich slopes on Io: Journal of Geophysical Research E: Planets, v. 122, p. 546-559, https://doi.org/10.1002/2016JE005177.","productDescription":"16 p.","startPage":"546","endPage":"559","ipdsId":"IP-077825","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":350986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-20","publicationStatus":"PW","scienceBaseUri":"5a7586d6e4b00f54eb1d81da","contributors":{"authors":[{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":726594,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70194999,"text":"70194999 - 2017 - Host susceptibility to snake fungal disease is highly dispersed across phylogenetic and functional trait space","interactions":[],"lastModifiedDate":"2018-02-02T13:46:24","indexId":"70194999","displayToPublicDate":"2018-02-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Host susceptibility to snake fungal disease is highly dispersed across phylogenetic and functional trait space","docAbstract":"Emerging infectious diseases (EIDs) reduce host population sizes, cause extinction, disassemble communities, and have indirect negative effects on human well-being. Fungal EIDs have reduced population abundances in amphibians and bats across many species over large areas. The recent emergence of snake fungal disease (SFD) may have caused declines in some snake populations in the Eastern United States (EUS), which is home to a phylogenetically and ecologically diverse assembly of 98 taxa. SFD has been documented in only 23 naturally occuring species, although this is likely an underestimate of the number of susceptible taxa. Using several novel methods, including artificial neural networks, we combine phylogenetic and trait-based community estimates from all taxa in this region to show that SFD hosts are both phylogenetically and ecologically randomly dispersed. This might indicate that other species of snakes in the EUS could be currently infected or susceptible to SFD. Our models also indicate that information about key traits that enhance susceptiblity is lacking. Surveillance should consider that all snake species and habitats likely harbor this pathogen.","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.1701387","usgsCitation":"Burbrink, F.T., Lorch, J.M., and Lips, K.R., 2017, Host susceptibility to snake fungal disease is highly dispersed across phylogenetic and functional trait space: Science Advances, v. 3, no. 12, e1701387; 9 p., https://doi.org/10.1126/sciadv.1701387.","productDescription":"e1701387; 9 p.","ipdsId":"IP-081412","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":461317,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.1701387","text":"Publisher Index Page"},{"id":350945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"12","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7586d8e4b00f54eb1d81e6","contributors":{"authors":[{"text":"Burbrink, Frank T.","contributorId":201581,"corporation":false,"usgs":false,"family":"Burbrink","given":"Frank","email":"","middleInitial":"T.","affiliations":[{"id":36210,"text":"The American Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":726507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252 jlorch@usgs.gov","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":5565,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey","email":"jlorch@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":726506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lips, Karen R.","contributorId":26258,"corporation":false,"usgs":true,"family":"Lips","given":"Karen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":726508,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195022,"text":"70195022 - 2017 - Granular flows at recurring slope lineae on Mars indicate a limited role for liquid water","interactions":[],"lastModifiedDate":"2018-02-02T16:16:35","indexId":"70195022","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Granular flows at recurring slope lineae on Mars indicate a limited role for liquid water","docAbstract":"<p><span>Recent liquid water flow on Mars has been proposed based on geomorphological features, such as gullies. Recurring slope lineae — seasonal flows that are darker than their surroundings — are candidate locations for seeping liquid water on Mars today, but their formation mechanism remains unclear. Topographical analysis shows that the terminal slopes of recurring slope lineae match the stopping angle for granular flows of cohesionless sand in active Martian aeolian dunes. In Eos Chasma, linea lengths vary widely and are longer where there are more extensive angle-of-repose slopes, inconsistent with models for water sources. These observations suggest that recurring slope lineae are granular flows. The preference for warm seasons and the detection of hydrated salts are consistent with some role for water in their initiation. However, liquid water volumes may be small or zero, alleviating planetary protection concerns about habitable environments.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41561-017-0012-5","usgsCitation":"Dundas, C.M., McEwen, A.S., Chojnacki, M., Milazzo, M.P., Byrne, S., McElwaine, J., and Urso, A., 2017, Granular flows at recurring slope lineae on Mars indicate a limited role for liquid water: Nature Geoscience, v. 10, p. 903-907, https://doi.org/10.1038/s41561-017-0012-5.","productDescription":"5 p.","startPage":"903","endPage":"907","ipdsId":"IP-079976","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":469221,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1038/s41561-017-0012-5","text":"External Repository"},{"id":350995,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-20","publicationStatus":"PW","scienceBaseUri":"5a7586d8e4b00f54eb1d81ee","contributors":{"authors":[{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":726602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":726603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chojnacki, Matthew","contributorId":201621,"corporation":false,"usgs":false,"family":"Chojnacki","given":"Matthew","affiliations":[{"id":27205,"text":"U. Arizona","active":true,"usgs":false}],"preferred":false,"id":726604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Milazzo, Moses P. 0000-0002-9101-2191 moses@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-2191","contributorId":4811,"corporation":false,"usgs":true,"family":"Milazzo","given":"Moses","email":"moses@usgs.gov","middleInitial":"P.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":726605,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Byrne, Shane","contributorId":192609,"corporation":false,"usgs":false,"family":"Byrne","given":"Shane","email":"","affiliations":[],"preferred":false,"id":726606,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McElwaine, Jim","contributorId":201623,"corporation":false,"usgs":false,"family":"McElwaine","given":"Jim","affiliations":[{"id":25252,"text":"Durham University","active":true,"usgs":false}],"preferred":false,"id":726607,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Urso, Anna","contributorId":173270,"corporation":false,"usgs":false,"family":"Urso","given":"Anna","email":"","affiliations":[{"id":27205,"text":"U. Arizona","active":true,"usgs":false}],"preferred":false,"id":726608,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70198023,"text":"70198023 - 2017 - Geologic overview of the Mars Science Laboratory rover mission at the Kimberley, Gale crater, Mars","interactions":[],"lastModifiedDate":"2018-07-06T14:36:28","indexId":"70198023","displayToPublicDate":"2018-01-30T00:00:00","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":"Geologic overview of the Mars Science Laboratory rover mission at the Kimberley, Gale crater, Mars","docAbstract":"<p>The Mars Science Laboratory (MSL) Curiosity rover completed a detailed investigation at the Kimberley waypoint within Gale crater from sols 571-634 using its full science instrument payload. From orbital images examined early in the Curiosity mission, the Kimberley region had been identified as a high-priority science target based on its clear stratigraphic relationships in a layered sedimentary sequence that had been exposed by differential erosion. Observations of the stratigraphic sequence at the Kimberley made by Curiosity are consistent with deposition in a prograding, fluvio-deltaic system during the late Noachian to early Hesperian, prior to the existence of most of Mt. Sharp. Geochemical and mineralogic analyses suggest that sediment deposition likely took place under cold conditions with relatively low water-to-rock ratios. Based on elevated K2O abundances throughout the Kimberley formation, an alkali feldspar protolith is likely one of several igneous sources from which the sediments were derived. After deposition, the rocks underwent multiple episodes of diagenetic alteration with different aqueous chemistries and redox conditions, as evidenced by the presence of Ca-sulfate veins, Mn-oxide fracture-fills, and erosion-resistant nodules. More recently, the Kimberley has been subject to significant aeolian abrasion and removal of sediments to create modern topography that slopes away from Mt. Sharp, a process that has continued to the present day.<br></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JE005200","usgsCitation":"Rice, M., Gupta, S., Treiman, A.H., Stack, K.M., Calef, F.J., Edgar, L.A., Grotzinger, J., Lanza, N.L., Le Deit, L., Lasue, J., Siebach, K.L., Vasavada, A.R., Wiens, R., and Williams, J., 2017, Geologic overview of the Mars Science Laboratory rover mission at the Kimberley, Gale crater, Mars: Journal of Geophysical Research E: Planets, v. 122, no. 1, p. 2-20, https://doi.org/10.1002/2016JE005200.","productDescription":"19 p.","startPage":"2","endPage":"20","ipdsId":"IP-080364","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":461319,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2016je005200","text":"External 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H.","contributorId":172307,"corporation":false,"usgs":false,"family":"Treiman","given":"Allan","email":"","middleInitial":"H.","affiliations":[{"id":12445,"text":"Lunar and Planetary Institute","active":true,"usgs":false}],"preferred":false,"id":739646,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stack, Kathryn M. 0000-0003-3444-6695","orcid":"https://orcid.org/0000-0003-3444-6695","contributorId":146791,"corporation":false,"usgs":false,"family":"Stack","given":"Kathryn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":739647,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Calef, Fred J.","contributorId":146331,"corporation":false,"usgs":false,"family":"Calef","given":"Fred","email":"","middleInitial":"J.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":739648,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":739649,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grotzinger, John P.","contributorId":22247,"corporation":false,"usgs":true,"family":"Grotzinger","given":"John P.","affiliations":[],"preferred":false,"id":739650,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lanza, Nina L.","contributorId":140299,"corporation":false,"usgs":false,"family":"Lanza","given":"Nina","email":"","middleInitial":"L.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":739675,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Le Deit, Laetitia","contributorId":172297,"corporation":false,"usgs":false,"family":"Le Deit","given":"Laetitia","email":"","affiliations":[{"id":27019,"text":"Univ. de Nantes","active":true,"usgs":false}],"preferred":false,"id":739676,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lasue, Jeremie","contributorId":181504,"corporation":false,"usgs":false,"family":"Lasue","given":"Jeremie","email":"","affiliations":[],"preferred":false,"id":739677,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Siebach, Kirsten L.","contributorId":172312,"corporation":false,"usgs":false,"family":"Siebach","given":"Kirsten","email":"","middleInitial":"L.","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":739678,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Vasavada, Ashwin R.","contributorId":200409,"corporation":false,"usgs":false,"family":"Vasavada","given":"Ashwin","email":"","middleInitial":"R.","affiliations":[],"preferred":true,"id":739679,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wiens, Roger C.","contributorId":80203,"corporation":false,"usgs":true,"family":"Wiens","given":"Roger C.","affiliations":[],"preferred":false,"id":739680,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Williams, Josh","contributorId":56572,"corporation":false,"usgs":true,"family":"Williams","given":"Josh","email":"","affiliations":[],"preferred":false,"id":739681,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70189539,"text":"pp1824J - 2017 - Geology and assessment of undiscovered oil and gas resources of the West Greenland-East Canada Province, 2008","interactions":[{"subject":{"id":70189539,"text":"pp1824J - 2017 - Geology and assessment of undiscovered oil and gas resources of the West Greenland-East Canada Province, 2008","indexId":"pp1824J","publicationYear":"2017","noYear":false,"chapter":"J","title":"Geology and assessment of undiscovered oil and gas resources of the West Greenland-East Canada Province, 2008"},"predicate":"IS_PART_OF","object":{"id":70193865,"text":"pp1824 - 2017 - The 2008 Circum-Arctic Resource Appraisal ","indexId":"pp1824","publicationYear":"2017","noYear":false,"title":"The 2008 Circum-Arctic Resource Appraisal "},"id":1}],"isPartOf":{"id":70193865,"text":"pp1824 - 2017 - The 2008 Circum-Arctic Resource Appraisal ","indexId":"pp1824","publicationYear":"2017","noYear":false,"title":"The 2008 Circum-Arctic Resource Appraisal "},"lastModifiedDate":"2024-06-26T14:16:27.402171","indexId":"pp1824J","displayToPublicDate":"2018-01-05T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1824","chapter":"J","title":"Geology and assessment of undiscovered oil and gas resources of the West Greenland-East Canada Province, 2008","docAbstract":"<p>The U.S. Geological Survey (USGS) recently assessed the potential for undiscovered oil and gas resources of the West Greenland-East Canada Province as part of the USGS Circum-Arctic Resource Appraisal program. The province lies in the offshore area between western Greenland and eastern Canada and includes Baffin Bay, Davis Strait, Lancaster Sound, and Nares Strait west of, and including, part of Kane Basin. A series of major tectonic events led to the formation of several distinct structural domains that are the geologic basis for defining five assessment units (AU ) in the province, all of which are within the Mesozoic-Cenozoic Composite Total Petroleum System (TPS). Potential petroleum source rocks within the TPS include strata of Ordovician, Lower and Upper Cretaceous, and Paleogene ages. The five AUs defined for this study—the Eurekan Structures AU, Northwest Greenland Rifted Margin AU, Northeast Canada Rifted Margin AU, Baffin Bay Basin AU, and the Greater Ungava Fault Zone AU— encompass the entire province and were assessed for undiscovered, technically recoverable resources. The estimated mean volumes of undiscovered resources for the West GreenlandEast Canada Province are 10.7 billion barrels of oil, 75 trillion cubic feet of gas, and 1.7 billion barrels of natural gas liquids. For the part of the province that is north of the Arctic Circle, the estimated mean volumes of these undiscovered resources are 7.3 billion barrels of oil, 52 trillion cubic feet of natural gas, and 1.1 billion barrels of natural-gas liquids.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1824J","usgsCitation":"Schenk, C.J., 2017, Geology and assessment of undiscovered oil and gas resources of the West Greenland-East Canada Province, 2008, chap. J <i>of</i> Moore, T.E., and Gautier, D.L., eds., The 2008 Circum-Arctic Resource Appraisal: U.S. Geological Survey Professional Paper 1824, 31 p., https://doi.org/10.3133/pp1824J.","productDescription":"Report: viii, 31 p.; 15 Appendixes","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-051001","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":350312,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/j/pp1824j_appendix2.pdf","text":"Appendix 2","size":"735 KB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1824 Chapter J","linkHelpText":"- Basin evolution chart for the Eurekan Structures Assessment Unit"},{"id":350310,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/j/pp1824j_appendixes.zip","text":"Appendixes","size":"5.3 MB","linkFileType":{"id":6,"text":"zip"},"description":"PP 1824 Chapter J","linkHelpText":"- All appendixes"},{"id":350309,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1824/j/pp1824j.pdf","text":"Report","size":"7.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1824 Chapter J"},{"id":350308,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1824/j/coverthb.jpg"},{"id":350311,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/j/pp1824j_appendix1.xls","text":"Appendix 1","size":"44 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"PP 1824 Chapter J","linkHelpText":"- Input data for Eurekan Structures Assessment Unit"},{"id":350323,"rank":16,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/j/pp1824j_appendix13.pdf","text":"Appendix 13","size":"375 KB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1824 Chapter J","linkHelpText":"- Detailed assessment results for Northeast Canada Rifted Margin Assessment Unit"},{"id":350322,"rank":15,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/j/pp1824j_appendix12.pdf","text":"Appendix 12","size":"375 KB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1824 Chapter J","linkHelpText":"- Detailed assessment results for Northwest Greenland Rifted Margin Assessment Unit"},{"id":350321,"rank":14,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/j/pp1824j_appendix11.pdf","text":"Appendix 11","size":"310 KB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1824 Chapter J","linkHelpText":"- Detailed assessment results for Eurekan Structures Assessment Unit"},{"id":350320,"rank":13,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/j/pp1824j_appendix10.pdf","text":"Appendix 10","size":"730 KB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1824 Chapter J","linkHelpText":"- Basin evolution chart for the Greater Ungava Fault Zone Assessment Unit"},{"id":350319,"rank":12,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/j/pp1824j_appendix9.xls","text":"Appendix 9","size":"45 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"PP 1824 Chapter J","linkHelpText":"- Input data for Greater Ungava Fault Zone Assessment Unit"},{"id":350318,"rank":11,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/j/pp1824j_appendix8.pdf","text":"Appendix 8","size":"725 KB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1824 Chapter J","linkHelpText":"- Basin evolution chart for the Baffin Bay Basin Assessment Unit"},{"id":350317,"rank":10,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/j/pp1824j_appendix7.xls","text":"Appendix 7","size":"45 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"PP 1824 Chapter J","linkHelpText":"- Input data for Baffin Bay Basin Assessment Unit"},{"id":350316,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/j/pp1824j_appendix6.pdf","text":"Appendix 6","size":"730 KB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1824 Chapter J","linkHelpText":"- Basin evolution chart for the Northeast Canada Rifted Margin Assessment Unit"},{"id":350314,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/j/pp1824j_appendix4.pdf","text":"Appendix 4","size":"735 KB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1824 Chapter J","linkHelpText":"- Basin evolution chart for the Northwest Greenland Rifted Margin Assessment Unit"},{"id":350313,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/j/pp1824j_appendix3.xls","text":"Appendix 3","size":"45 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"PP 1824 Chapter J","linkHelpText":"- Input data for Northwest Greenland Rifted Margin Assessment Unit"},{"id":350315,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/j/pp1824j_appendix5.xls","text":"Appendix 5","size":"45 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"PP 1824 Chapter J","linkHelpText":"- Input data for Northeast Canada Rifted Margin Assessment Unit"},{"id":350324,"rank":17,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/j/pp1824j_appendix14.pdf","text":"Appendix 14","size":"375 KB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1824 Chapter J","linkHelpText":"- Detailed assessment results for Baffin Bay Basin Assessment Unit"},{"id":350325,"rank":18,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/j/pp1824j_appendix15.pdf","text":"Appendix 15","size":"375 KB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1824 Chapter J","linkHelpText":"- Detailed assessment results for Greater Ungava Fault Zone Assessment Unit"}],"otherGeospatial":"West Greenland-East Canada Province","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85,\n              62\n            ],\n            [\n              -50,\n              62\n            ],\n            [\n              -50,\n              80\n            ],\n            [\n              -85,\n              80\n            ],\n            [\n              -85,\n              62\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/gmeg/employee-directory\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg/employee-directory\">Contact Information</a>,&nbsp;<a href=\"https://www.usgs.gov/centers/gmeg\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg\">Geology, Minerals, Energy, &amp; Geophysics Science Center—Menlo Park</a><br><a href=\"https://usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>345 Middlefield Road<br>Menlo Park, CA 94025-3591<br>FAX 650-329-4936</p>","tableOfContents":"<ul><li>Abstract<br></li><li>West Greenland-East Canada Province Description<br></li><li>Assessment Unit Definitions<br></li><li>Assessment Results<br></li><li>References<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2018-01-05","noUsgsAuthors":false,"publicationDate":"2018-01-05","publicationStatus":"PW","scienceBaseUri":"5a60fad9e4b06e28e9c227e5","contributors":{"editors":[{"text":"Moore, Thomas E. 0000-0002-0878-0457 tmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":1033,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas","email":"tmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":725421,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Gautier, Donald L. gautier@usgs.gov","contributorId":1310,"corporation":false,"usgs":true,"family":"Gautier","given":"Donald","email":"gautier@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":725422,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":705114,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70187716,"text":"pp1824D - 2017 - Geology and assessment of undiscovered oil and gas resources of the Hope Basin Province, 2008","interactions":[{"subject":{"id":70187716,"text":"pp1824D - 2017 - Geology and assessment of undiscovered oil and gas resources of the Hope Basin Province, 2008","indexId":"pp1824D","publicationYear":"2017","noYear":false,"chapter":"D","title":"Geology and assessment of undiscovered oil and gas resources of the Hope Basin Province, 2008"},"predicate":"IS_PART_OF","object":{"id":70193865,"text":"pp1824 - 2017 - The 2008 Circum-Arctic Resource Appraisal ","indexId":"pp1824","publicationYear":"2017","noYear":false,"title":"The 2008 Circum-Arctic Resource Appraisal "},"id":1}],"isPartOf":{"id":70193865,"text":"pp1824 - 2017 - The 2008 Circum-Arctic Resource Appraisal ","indexId":"pp1824","publicationYear":"2017","noYear":false,"title":"The 2008 Circum-Arctic Resource Appraisal "},"lastModifiedDate":"2024-06-26T14:25:10.072861","indexId":"pp1824D","displayToPublicDate":"2018-01-04T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1824","chapter":"D","title":"Geology and assessment of undiscovered oil and gas resources of the Hope Basin Province, 2008","docAbstract":"<p><span>The Hope Basin, an independent petroleum province that lies mostly offshore in the southern Chukchi Sea north of the Chukotka and Seward Peninsulas and south of Wrangel Island, the Herald Arch, and the Lisburne Peninsula, is the largest in a series of postorogenic (successor) basins in the East Siberian-Chukchi Sea region and the only one with exploratory-well control and extensive seismic coverage.</span><br><br><span>In spite of the seismic coverage and well data, the petroleum potential of the Hope Basin Province is poorly known. The adequacy of hydrocarbon charge, in combination with uncertainties in source-rock potential and maturation, was the greatest risk in this assessment. A single assessment unit was defined and assessed, resulting in mean estimates of undiscovered, technically recoverable resources that include ~3 million barrels of oil and 650 billion cubic feet of nonassociated gas.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1824D","usgsCitation":"Bird, K.J., Houseknecht, D.W., and Pitman, J.K., 2017, Geology and assessment of undiscovered oil and gas resources of the Hope Basin Province, 2008, chap. D <i>of</i> Moore, T.E., and Gautier, D.L., eds., The 2008 Circum-Arctic Resource Appraisal: U.S. Geological Survey Professional Paper 1824, 9 p., https://doi.org/10.3133/pp1824D.","productDescription":"Report: vi, 9 p.; Appendix","numberOfPages":"18","onlineOnly":"Y","ipdsId":"IP-050998","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":350305,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/d/pp1824d_appendix1.xls","text":"Appendix 1. Input Data for the Hope Basin Assessment Unit","size":"37 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"PP 1824 Chapter D"},{"id":350231,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1824/d/coverthb.jpg"},{"id":350232,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1824/d/pp1824d_.pdf","text":"Report","size":"2.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1824 Chapter D"}],"otherGeospatial":"Hope Basin Province","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -178,\n              66\n            ],\n            [\n              -161,\n              66\n            ],\n            [\n              -161,\n              72.5\n            ],\n            [\n              -178,\n              72.5\n            ],\n            [\n              -178,\n              66\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/gmeg/employee-directory\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg/employee-directory\">Contact Information</a>,&nbsp;<a href=\"https://www.usgs.gov/centers/gmeg\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg\">Geology, Minerals, Energy, &amp; Geophysics Science Center—Menlo Park</a><br><a href=\"https://usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>345 Middlefield Road<br>Menlo Park, CA 94025-3591<br>FAX 650-329-4936</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Geologic Setting and Stratigraphy<br></li><li>Petroleum Systems<br></li><li>Results<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Appendix<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2018-01-04","noUsgsAuthors":false,"publicationDate":"2018-01-04","publicationStatus":"PW","scienceBaseUri":"5a60fadfe4b06e28e9c228ac","contributors":{"editors":[{"text":"Moore, Thomas E. 0000-0002-0878-0457 tmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":1033,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas","email":"tmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":725334,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Gautier, Donald L. gautier@usgs.gov","contributorId":1310,"corporation":false,"usgs":true,"family":"Gautier","given":"Donald","email":"gautier@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":725335,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Bird, Kenneth J. kbird@usgs.gov","contributorId":1015,"corporation":false,"usgs":true,"family":"Bird","given":"Kenneth","email":"kbird@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":695249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":695250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":695251,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194815,"text":"ofr20171142 - 2017 - Geologic map of the Washington West 30’ × 60’ quadrangle, Maryland, Virginia, and Washington D.C.","interactions":[],"lastModifiedDate":"2018-06-04T16:56:38","indexId":"ofr20171142","displayToPublicDate":"2018-01-02T15:45:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1142","title":"Geologic map of the Washington West 30’ × 60’ quadrangle, Maryland, Virginia, and Washington D.C.","docAbstract":"<p>The Washington West 30’ × 60’ quadrangle covers an area of approximately 4,884 square kilometers (1,343 square miles) in and west of the Washington, D.C., metropolitan area. The eastern part of the area is highly urbanized, and more rural areas to the west are rapidly being developed. The area lies entirely within the Chesapeake Bay drainage basin and mostly within the Potomac River watershed. It contains part of the Nation's main north-south transportation corridor east of the Blue Ridge Mountains, consisting of Interstate Highway 95, U.S. Highway 1, and railroads, as well as parts of the Capital Beltway and Interstate Highway 66. Extensive Federal land holdings in addition to those in Washington, D.C., include the Marine Corps Development and Education Command at Quantico, Fort Belvoir, Vint Hill Farms Station, the Naval Ordnance Station at Indian Head, the Chesapeake and Ohio Canal National Historic Park, Great Falls Park, and Manassas National Battlefield Park. The quadrangle contains most of Washington, D.C.; part or all of Arlington, Culpeper, Fairfax, Fauquier, Loudoun, Prince William, Rappahannock, and Stafford Counties in northern Virginia; and parts of Charles, Montgomery, and Prince Georges Counties in Maryland.</p><p>The Washington West quadrangle spans four geologic provinces. From west to east these provinces are the Blue Ridge province, the early Mesozoic Culpeper basin, the Piedmont province, and the Coastal Plain province. There is some overlap in ages of rocks in the Blue Ridge and Piedmont provinces. The Blue Ridge province, which occupies the western part of the quadrangle, contains metamorphic and igneous rocks of Mesoproterozoic to Early Cambrian age. Mesoproterozoic (Grenville-age) rocks are mostly granitic gneisses, although older metaigneous rocks are found as xenoliths. Small areas of Neoproterozoic metasedimentary rocks nonconformably overlie Mesoproterozoic rocks. Neoproterozoic granitic rocks of the Robertson River Igneous Suite intruded the Mesoproterozoic rocks. The Mesoproterozoic rocks are nonconformably overlain by Neoproterozoic metasedimentary rocks of the Fauquier and Lynchburg Groups, which in turn are overlain by metabasalt of the Catoctin Formation. The Catoctin Formation is overlain by Lower Cambrian clastic metasedimentary rocks of the Chilhowee Group. The Piedmont province is exposed in the east-central part of the map area, between overlapping sedimentary units of the Culpeper basin on the west and those of the Coastal Plain province on the east. In this area, the Piedmont province contains Neoproterozoic and lower Paleozoic metamorphosed sedimentary, volcanic, and plutonic rocks. Allochthonous mélange complexes on the western side of the Piedmont are bordered on the east by metavolcanic and metasedimentary rocks of the Chopawamsic Formation, which has been interpreted as part of volcanic arc. The mélange complexes are unconformably overlain by metasedimentary rocks of the Popes Head Formation. The Silurian and Ordovician Quantico Formation is the youngest metasedimentary unit in this part of the Piedmont. Igneous rocks include the Garrisonville Mafic Complex, transported ultramafic and mafic inclusions in mélanges, monzogranite of the Dale City pluton, and Ordovician tonalitic and granitic plutons. Jurassic diabase dikes are the youngest intrusions. The fault boundary between rocks of the Blue Ridge and Piedmont provinces is concealed beneath the Culpeper basin in this area but is exposed farther south. Early Mesozoic rocks of the Culpeper basin unconformably overlie those of the Piedmont and Blue Ridge provinces in the central part of the quadrangle. The north-northeast-trending extensional basin contains Upper Triassic to Lower Jurassic nonmarine sedimentary rocks. Lower Jurassic sedimentary strata are interbedded with basalt flows, and both Upper Triassic and Lower Jurassic strata are intruded by diabase of Early Jurassic age. The Bull Run Mountain fault, a major Mesozoic normal fault characterized by down-to-the-east displacement, separates rocks of the Culpeper basin from those of the Blue Ridge province on the west. On the east, the contact between rocks of the Culpeper basin and those of the Piedmont province is an unconformity, which has been locally disrupted by normal faults. Sediments of the Coastal Plain province unconformably overlie rocks of the Piedmont province along the Fall Zone and occupy the eastern part of the quadrangle. Lower Cretaceous deposits of the Potomac Formation consist of fluvial-deltaic gravels, sands, silts, and clays. Discontinuous fluvial and estuarine terrace deposits of Pleistocene and middle- to late-Tertiary age flank the modern Potomac River valley unconformable capping these Cretaceous strata and the crystalline basement where the Cretaceous has been removed by erosion. East of the Potomac River, the Potomac Formation is onlapped and unconformably overlain by a westward thinning wedge of marine sedimentary deposits of Late Cretaceous and early- and late-Tertiary age. Basement rooted Coastal Plain faults of Tertiary to Quaternary age occur along the Fall Zone and this part of the inner Coastal Plain. These Coastal Plain faults have geomorphic expression that appear to influence river drainage patterns.</p><p>The geologic map of the Washington West quadrangle is intended to serve as a foundation for applying geologic information to problems involving land use decisions, groundwater availability and quality, earth resources such as natural aggregate for construction, assessment of natural hazards, and engineering and environmental studies for waste disposal sites and construction projects. This 1:100,000-scale map is mainly based on more detailed geologic mapping at a scale of 1:24,000.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171142","usgsCitation":"Lyttle, P.T., Aleinikoff, J.N., Burton, W.C., Crider, E.A., Jr.,  Drake, A.A., Jr., Froelich, A.J., Horton, J.W., Jr., Kasselas, Gregorios, Mixon, R.B., McCartan, Lucy, Nelson, A.E., Newell, W.L., Pavlides, Louis, Powars, D.S., Southworth, C.S., and Weems, R.E., 2017, Geologic map of the Washington West 30’ × 60’ quadrangle, Maryland, Virginia, and Washington D.C.: U.S. Geological Survey Open-File Report 2017–1142, 1 sheet, scale 1:100,000, https://doi.org/10.3133/ofr20171142.","productDescription":"Map: 55.30 x 60.78 inches; Database; Database Metadata; Spatial Data","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-052801","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":350265,"rank":6,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/of/2017/1142/ofr20171142_washington-west-geologic-map-database.zip","text":"Database","size":"102 MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Washington West Geologic Map Database"},{"id":350266,"rank":7,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2017/1142/ofr20171142_washingtonwestVADCMD-ArcGIS-10.0.mxd","size":"438 KB mxd","linkHelpText":"- Washington West: Maryland, Virginia, and Washington, D.C. (ArcGIS 10.0)"},{"id":350263,"rank":4,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2017/1142/ofr20171142_washington-west-base-map.zip","text":"Base Map","size":"50.4 MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Washington West Base Map Files"},{"id":350262,"rank":3,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2017/1142/ofr20171142_washington-west-geologic-shapefiles.zip","text":"Shapefiles","size":"9.08 MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Washington West Geologic Shapefiles"},{"id":350260,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1142/coverthb.jpg"},{"id":350261,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1142/ofr20171142.pdf","text":"Report","size":"35.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1142"},{"id":350264,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2017/1142/ofr20171142_washington-west-geologic-database-metadata.zip","text":"Database Metadata","linkHelpText":"- Washington West Geologic Database Metadata"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Washington, D.C.","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78,\n              38.5\n            ],\n            [\n              -77,\n              38.5\n            ],\n            [\n              -77,\n              39\n            ],\n            [\n              -78,\n              39\n            ],\n            [\n              -78,\n              38.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"http://geology.er.usgs.gov/egpsc/\" data-mce-href=\"http://geology.er.usgs.gov/egpsc/\">Eastern Geology and Paleoclimate Science Center</a><br> U.S. Geological Survey<br> 12201 Sunrise Valley Drive<br> 926A National Center<br> Reston, VA 20192</p>","tableOfContents":"<ul><li>Description of Map Units</li><li>Correlation of Map Units</li><li>Explanation of Map Symbols</li><li>References Cited</li></ul>","publishedDate":"2018-01-02","noUsgsAuthors":false,"publicationDate":"2018-01-02","publicationStatus":"PW","scienceBaseUri":"5a60fae0e4b06e28e9c228b2","contributors":{"authors":[{"text":"Lyttle, Peter T. plyttle@usgs.gov","contributorId":293,"corporation":false,"usgs":true,"family":"Lyttle","given":"Peter","email":"plyttle@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":725358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":725359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burton, William C. 0000-0001-7519-5787 bburton@usgs.gov","orcid":"https://orcid.org/0000-0001-7519-5787","contributorId":1293,"corporation":false,"usgs":true,"family":"Burton","given":"William","email":"bburton@usgs.gov","middleInitial":"C.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":725360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crider, E. Allen Jr. ecrider@usgs.gov","contributorId":3267,"corporation":false,"usgs":true,"family":"Crider","given":"E. Allen","suffix":"Jr.","email":"ecrider@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":725361,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drake, Avery A. Jr.","contributorId":81090,"corporation":false,"usgs":true,"family":"Drake","given":"Avery","suffix":"Jr.","middleInitial":"A.","affiliations":[],"preferred":false,"id":725362,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Froelich, Albert J.","contributorId":60200,"corporation":false,"usgs":true,"family":"Froelich","given":"Albert J.","affiliations":[],"preferred":false,"id":725363,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Horton, J. Wright Jr. 0000-0001-6756-6365 whorton@usgs.gov","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":81184,"corporation":false,"usgs":true,"family":"Horton","given":"J.","suffix":"Jr.","email":"whorton@usgs.gov","middleInitial":"Wright","affiliations":[],"preferred":false,"id":725364,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kasselas, Gregorios","contributorId":201444,"corporation":false,"usgs":true,"family":"Kasselas","given":"Gregorios","email":"","affiliations":[],"preferred":false,"id":725377,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mixon, Robert B.","contributorId":50517,"corporation":false,"usgs":true,"family":"Mixon","given":"Robert","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":725365,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McCartan, Lucy","contributorId":20801,"corporation":false,"usgs":true,"family":"McCartan","given":"Lucy","email":"","affiliations":[],"preferred":false,"id":725366,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Nelson, Arthur E.","contributorId":6035,"corporation":false,"usgs":true,"family":"Nelson","given":"Arthur","email":"","middleInitial":"E.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":725367,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Newell, Wayne L. wnewell@usgs.gov","contributorId":2512,"corporation":false,"usgs":true,"family":"Newell","given":"Wayne","email":"wnewell@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":false,"id":725368,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Pavlides, Louis","contributorId":79444,"corporation":false,"usgs":true,"family":"Pavlides","given":"Louis","email":"","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":725369,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Powars, David S. 0000-0002-6787-8964 dspowars@usgs.gov","orcid":"https://orcid.org/0000-0002-6787-8964","contributorId":1181,"corporation":false,"usgs":true,"family":"Powars","given":"David","email":"dspowars@usgs.gov","middleInitial":"S.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":725370,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Southworth, C. Scott 0000-0002-7976-7807 ssouthwo@usgs.gov","orcid":"https://orcid.org/0000-0002-7976-7807","contributorId":1608,"corporation":false,"usgs":true,"family":"Southworth","given":"C.","email":"ssouthwo@usgs.gov","middleInitial":"Scott","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":725371,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Weems, Robert E. 0000-0002-1907-7804 rweems@usgs.gov","orcid":"https://orcid.org/0000-0002-1907-7804","contributorId":2663,"corporation":false,"usgs":true,"family":"Weems","given":"Robert","email":"rweems@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":725372,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70196241,"text":"70196241 - 2017 - Declining survival of black brant from subarctic and arctic breeding areas","interactions":[],"lastModifiedDate":"2018-03-30T12:57:39","indexId":"70196241","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Declining survival of black brant from subarctic and arctic breeding areas","docAbstract":"<p><span>Since the mid 1990s, the number of black brant (</span><i>Branta bernicla nigricans</i><span>; brant) nests on the Yukon‐Kuskokwim Delta (YKD), Alaska, USA, the historically predominant breeding area of brant, has declined steadily. This has caused researchers and managers to question if arctic breeding populations can compensate for the reduction in brant nests on the YKD. An important component of the assessment of brant population dynamics is having current estimates of first‐year and adult survival. We banded brant at 4 locations in Arctic Alaska and western Canada, and at 1 location in the subarctic, the Tutakoke River (TR) colony on the YKD, 1990–2015. We used joint live and dead mark‐recapture models to estimate first‐year and adult (≥1 yr old) survival of brant. We also used band recovery rates from a Brownie model to assess temporal trends in band recovery rates of adult brant. First‐year survival of brant hatched at TR declined from approximately 0.60 to &lt;0.20 and, although first‐year survival generally was higher for goslings marked in the Arctic, their survival declined from approximately 0.70 in the early 1990s to ≤0.45 in the 2010s. Annual survival of adult females decreased from an average of 0.881 (95% CI = 0.877–0.885) to 0.822 (95% CI = 0.815–0.829) at TR and from 0.851 (95% CI = 0.843–0.860) to 0.821 (95% CI = 0.805–0.836) in the Arctic, from 1990 to 2014. Band recovery rates of adults generally were &lt;1.25% until the last several years of study, when they reached ≤3.5%. Although the current harvest rates may be partially additive to natural mortality, we do not believe that harvest is the main influence on the declines in survival. The general decline in survival rates of brant breeding across a large geographic area may be influenced by a reduction in the quality of migration and wintering ground habitats. We suggest an analysis of seasonal survival of brant to test the hypothesis that declining habitat quality on wintering or spring migration areas is reducing survival. Our results suggest that the number of breeding pairs at TR will continue to decline and also brings into question the ability of arctic breeding populations to grow at a rate necessary to offset the declines on the YKD. Researchers should continue to closely monitor survival and harvest rates of brant, and assess methods currently used to monitor their abundance.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21284","usgsCitation":"Leach, A.G., Ward, D.H., Sedinger, J.S., Lindberg, M.S., Boyd, W.S., Hupp, J.W., and Ritchie, R.J., 2017, Declining survival of black brant from subarctic and arctic breeding areas: Journal of Wildlife Management, v. 81, no. 7, p. 1210-1218, https://doi.org/10.1002/jwmg.21284.","productDescription":"9 p.","startPage":"1210","endPage":"1218","ipdsId":"IP-080965","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":438115,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76971SZ","text":"USGS data release","linkHelpText":"Black Brant Banding and Recovery Encounter Histories, Alaska, 1990-2016"},{"id":353007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-15","publicationStatus":"PW","scienceBaseUri":"5afee788e4b0da30c1bfc2c6","contributors":{"authors":[{"text":"Leach, Alan G.","contributorId":203591,"corporation":false,"usgs":false,"family":"Leach","given":"Alan","email":"","middleInitial":"G.","affiliations":[{"id":36666,"text":"Department of Natural Resources and Environmental Science, University of Nevada-Reno","active":true,"usgs":false}],"preferred":false,"id":731833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":731831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sedinger, James S.","contributorId":84861,"corporation":false,"usgs":false,"family":"Sedinger","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":731834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindberg, Mark S.","contributorId":63292,"corporation":false,"usgs":false,"family":"Lindberg","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":731835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyd, W. Sean","contributorId":199405,"corporation":false,"usgs":false,"family":"Boyd","given":"W.","email":"","middleInitial":"Sean","affiliations":[{"id":35539,"text":"Science and Technology Branch, Environment and Climate Change Canada, Delta, BC, Canada","active":true,"usgs":false}],"preferred":false,"id":731836,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hupp, Jerry W. 0000-0002-6439-3910 jhupp@usgs.gov","orcid":"https://orcid.org/0000-0002-6439-3910","contributorId":127803,"corporation":false,"usgs":true,"family":"Hupp","given":"Jerry","email":"jhupp@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":731832,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ritchie, Robert J.","contributorId":203595,"corporation":false,"usgs":false,"family":"Ritchie","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":36669,"text":"ABR, Inc.—Environmental Research & Services","active":true,"usgs":false}],"preferred":false,"id":731837,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70195670,"text":"70195670 - 2017 - Amplification of earthquake ground motions in Washington, DC, and implications for hazard assessments in central and eastern North America","interactions":[],"lastModifiedDate":"2018-02-27T10:04:20","indexId":"70195670","displayToPublicDate":"2018-01-01T00:00:00","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":"Amplification of earthquake ground motions in Washington, DC, and implications for hazard assessments in central and eastern North America","docAbstract":"<p><span>The extent of damage in Washington, DC, from the 2011&nbsp;</span><i>M</i><sub><i>w</i></sub><span><span>&nbsp;</span>5.8 Mineral, VA, earthquake was surprising for an epicenter 130&nbsp;km away; U.S. Geological Survey “Did-You-Feel-It” reports suggest that Atlantic Coastal Plain and other unconsolidated sediments amplified ground motions in the city. We measure this amplification relative to bedrock sites using earthquake signals recorded on a temporary seismometer array. The spectral ratios show strong amplification in the 0.7 to 4&nbsp;Hz frequency range for sites on sediments. This range overlaps with resonant frequencies of buildings in the city as inferred from their heights, suggesting amplification at frequencies to which many buildings are vulnerable to damage. Our results emphasize that local amplification can raise moderate ground motions to damaging levels in stable continental regions, where low attenuation extends shaking levels over wide areas and unconsolidated deposits on crystalline metamorphic or igneous bedrock can result in strong contrasts in near-surface material properties.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL075517","usgsCitation":"Pratt, T.L., Horton, J.W., Munoz, J., Hough, S.E., Chapman, M.C., and Olgun, C.G., 2017, Amplification of earthquake ground motions in Washington, DC, and implications for hazard assessments in central and eastern North America: Geophysical Research Letters, v. 44, no. 24, p. 12150-12160, https://doi.org/10.1002/2017GL075517.","productDescription":"11 p.","startPage":"12150","endPage":"12160","ipdsId":"IP-092357","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":352058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352048,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1002/2017GL075517/full"}],"country":"United States","otherGeospatial":"Washington, DC","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82,\n              36\n            ],\n            [\n              -75,\n              36\n            ],\n            [\n              -75,\n              40\n            ],\n            [\n              -82,\n              40\n            ],\n            [\n              -82,\n              36\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","issue":"24","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-23","publicationStatus":"PW","scienceBaseUri":"5afee788e4b0da30c1bfc2c8","contributors":{"authors":[{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":729624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horton, J. Wright Jr. 0000-0001-6756-6365 whorton@usgs.gov","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":173694,"corporation":false,"usgs":true,"family":"Horton","given":"J.","suffix":"Jr.","email":"whorton@usgs.gov","middleInitial":"Wright","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":729625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munoz, Jessica","contributorId":202790,"corporation":false,"usgs":false,"family":"Munoz","given":"Jessica","email":"","affiliations":[],"preferred":false,"id":729626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":729627,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chapman, Martin C.","contributorId":139348,"corporation":false,"usgs":false,"family":"Chapman","given":"Martin","email":"","middleInitial":"C.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":729628,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Olgun, C. Guney 0000-0001-9751-1103","orcid":"https://orcid.org/0000-0001-9751-1103","contributorId":202791,"corporation":false,"usgs":false,"family":"Olgun","given":"C.","email":"","middleInitial":"Guney","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":729629,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193367,"text":"70193367 - 2017 - Investigation of input reduction techniques for morphodynamic modeling of complex inlets with baroclinic forcing","interactions":[],"lastModifiedDate":"2018-02-28T12:00:44","indexId":"70193367","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Investigation of input reduction techniques for morphodynamic modeling of complex inlets with baroclinic forcing","docAbstract":"The Mouth of the Columbia River (MCR) is a complex estuary inlet system characterized by a buoyant plume created\nby high freshwater flows from the Columbia River into the Pacific Ocean. Data obtained during two major field\ncampaigns have resulted in a comprehensive dataset of hydrodynamics and sediment transport under high (2013) and\nlow (2005) river flow conditions. Through the analysis of this data and model simulations obtained with the Delft3D\n(MCR) model application we explored the importance and effect of stratification on sand-sized sediment for short- and\nlong-term sediment transport simulations. Stratification influences the sediment transport through much of the estuary,\nand significantly reduces sediment export at the MCR. A correlation analysis reveals that a similar representative tide\nthat best approximates the spring-neap averaged transport can be selected for both stratified and non-stratified flow.\nThis correspondence implies that standard morphodynamic tide schematizations (e.g. Lesser, 2009) may also be valid\nin the stratified conditions found at MCR and other highly stratified estuaries.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal Dynamics 2017, Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Dynamics 2017","conferenceDate":"June 12-16, 2017","conferenceLocation":"Helsingør, Denmark","language":"English","publisher":"Coastal Dynamics 2017","usgsCitation":"Gelfenbaum, G.R., Elias, E., and Stevens, A.W., 2017, Investigation of input reduction techniques for morphodynamic modeling of complex inlets with baroclinic forcing, <i>in</i> Coastal Dynamics 2017, Proceedings, Helsingør, Denmark, June 12-16, 2017, p. 1142-1154.","productDescription":"13 p.","startPage":"1142","endPage":"1154","ipdsId":"IP-086608","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":352132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347951,"type":{"id":15,"text":"Index Page"},"url":"https://coastaldynamics2017.dk/proceedings.html"}],"country":"United States","otherGeospatial":"Columbia River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.09744262695312,\n              46.091329046507695\n            ],\n            [\n              -123.01254272460938,\n              46.091329046507695\n            ],\n            [\n              -123.01254272460938,\n              46.3507193554773\n            ],\n            [\n              -124.09744262695312,\n              46.3507193554773\n            ],\n            [\n              -124.09744262695312,\n              46.091329046507695\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee788e4b0da30c1bfc2ce","contributors":{"authors":[{"text":"Gelfenbaum, Guy R. 0000-0003-1291-6107 ggelfenbaum@usgs.gov","orcid":"https://orcid.org/0000-0003-1291-6107","contributorId":742,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","email":"ggelfenbaum@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":718871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elias, Edwin","contributorId":199380,"corporation":false,"usgs":false,"family":"Elias","given":"Edwin","affiliations":[],"preferred":false,"id":718872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stevens, Andrew W. 0000-0003-2334-129X astevens@usgs.gov","orcid":"https://orcid.org/0000-0003-2334-129X","contributorId":139313,"corporation":false,"usgs":true,"family":"Stevens","given":"Andrew","email":"astevens@usgs.gov","middleInitial":"W.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":718873,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194838,"text":"70194838 - 2017 - Co-producing simulation models to inform resource management: a case study from southwest South Dakota","interactions":[],"lastModifiedDate":"2018-01-16T15:50:40","indexId":"70194838","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Co-producing simulation models to inform resource management: a case study from southwest South Dakota","docAbstract":"<p><span>Simulation models can represent complexities of the real world and serve as virtual laboratories for asking “what if…?” questions about how systems might respond to different scenarios. However, simulation models have limited relevance to real-world applications when designed without input from people who could use the simulated scenarios to inform their decisions. Here, we report on a state-and-transition simulation model of vegetation dynamics that was coupled to a scenario planning process and co-produced by researchers, resource managers, local subject-matter experts, and climate change adaptation specialists to explore potential effects of climate scenarios and management alternatives on key resources in southwest South Dakota. Input from management partners and local experts was critical for representing key vegetation types, bison and cattle grazing, exotic plants, fire, and the effects of climate change and management on rangeland productivity and composition given the paucity of published data on many of these topics. By simulating multiple land management jurisdictions, climate scenarios, and management alternatives, the model highlighted important tradeoffs between grazer density and vegetation composition, as well as between the short- and long-term costs of invasive species management. It also pointed to impactful uncertainties related to the effects of fire and grazing on vegetation. More broadly, a scenario-based approach to model co-production bracketed the uncertainty associated with climate change and ensured that the most important (and impactful) uncertainties related to resource management were addressed. This cooperative study demonstrates six opportunities for scientists to engage users throughout the modeling process to improve model utility and relevance: (1) identifying focal dynamics and variables, (2) developing conceptual model(s), (3) parameterizing the simulation, (4) identifying relevant climate scenarios and management alternatives, (5) evaluating and refining the simulation, and (6) interpreting the results. We also reflect on lessons learned and offer several recommendations for future co-production efforts, with the aim of advancing the pursuit of usable science.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2020","usgsCitation":"Miller, B., Symstad, A.J., Frid, L., Fisichelli, N.A., and Schuurman, G.W., 2017, Co-producing simulation models to inform resource management: a case study from southwest South Dakota: Ecosphere, v. 8, no. 12, e02020; 24 p., https://doi.org/10.1002/ecs2.2020.","productDescription":"e02020; 24 p.","ipdsId":"IP-086834","costCenters":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":469222,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2020","text":"Publisher Index Page"},{"id":350458,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.25,\n              43\n            ],\n            [\n              -101.5,\n              43\n            ],\n            [\n              -101.5,\n              44\n            ],\n            [\n              -103.25,\n              44\n            ],\n            [\n              -103.25,\n              43\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"12","noUsgsAuthors":false,"publicationDate":"2017-12-15","publicationStatus":"PW","scienceBaseUri":"5a60e453e4b06e28e9c1406f","contributors":{"authors":[{"text":"Miller, Brian W. 0000-0003-1716-1161 bwmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":195418,"corporation":false,"usgs":true,"family":"Miller","given":"Brian W.","email":"bwmiller@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"preferred":false,"id":725512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Symstad, Amy J. 0000-0003-4231-2873 asymstad@usgs.gov","orcid":"https://orcid.org/0000-0003-4231-2873","contributorId":147543,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy","email":"asymstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":725513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frid, Leonardo","contributorId":56553,"corporation":false,"usgs":true,"family":"Frid","given":"Leonardo","affiliations":[],"preferred":false,"id":725514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisichelli, Nicholas A.","contributorId":174508,"corporation":false,"usgs":false,"family":"Fisichelli","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":27461,"text":"NPS, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":725515,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schuurman, Gregor W. 0000-0002-9304-7742","orcid":"https://orcid.org/0000-0002-9304-7742","contributorId":147698,"corporation":false,"usgs":false,"family":"Schuurman","given":"Gregor","email":"","middleInitial":"W.","affiliations":[{"id":16909,"text":"U.S. National Park Service, Natural Resource Stewardship and Science, Fort Collins, CO, 80525, USA","active":true,"usgs":false}],"preferred":false,"id":725516,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70197218,"text":"70197218 - 2017 - Book review: Behavioral ecology of the eastern red-backed salamander: 50 years of research","interactions":[],"lastModifiedDate":"2018-05-23T10:49:12","indexId":"70197218","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Behavioral ecology of the eastern red-backed salamander: 50 years of research","docAbstract":"In commemoration of the 100th anniversary of the British Ecological Society, Sutherland et al. (2013) identified 100 questions of fundamental significance in “pure” (i.e., not applied) ecology. A somewhat unexpected outcome of these authors’ exercise was the realization that, after 100 years of comprehensive, intensive scientific research, there remained “profound knowledge\ngaps” in ecology, such as a clear understanding of “the central mechanisms driving ecosystems…communities…, and even population dynamics.” Animal behavior (along with other attributes such as physiology and genetics) is such a mechanism that can structure ecological interactions, and the study of behavioral ecology provides important insights into many fundamental ecological phenomena. For example, the well-known historical characterization of ecology as the study of the distribution and abundance of organisms (Andrewartha and Birch 1954) invokes numerous questions, such as: what factors influence coexistence among competing species, or between predators and their prey? Ultimately, the answers to these and other questions are best addressed with fine-scale, mechanistic studies of habitat selection, foraging behavior/prey selection, and movement/dispersal behavior.\nSimilarly, at the population level, insight into the spatial distribution of individuals could be gained with studies of territoriality, dominance hierarchies, and even mate choice.","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Walls, S.C., and Mitchell, J.C., 2017, Book review: Behavioral ecology of the eastern red-backed salamander: 50 years of research: Herpetological Review, v. 48, no. 2, p. 468-470.","productDescription":"3 p.","startPage":"468","endPage":"470","ipdsId":"IP-086630","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":354411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":354410,"type":{"id":15,"text":"Index Page"},"url":"https://ssarherps.org/herpetological-review-pdfs/"}],"volume":"48","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155df4e4b092d9651e1b98","contributors":{"authors":[{"text":"Walls, Susan C. 0000-0001-7391-9155 swalls@usgs.gov","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":138952,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","email":"swalls@usgs.gov","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":736271,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Joseph C.","contributorId":205168,"corporation":false,"usgs":false,"family":"Mitchell","given":"Joseph","email":"","middleInitial":"C.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":736272,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70196361,"text":"70196361 - 2017 - Graphite in the Bishop Tuff and its effect on postcaldera oxygen fugacity","interactions":[],"lastModifiedDate":"2018-04-03T14:19:46","indexId":"70196361","displayToPublicDate":"2018-01-01T00:00:00","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":"Graphite in the Bishop Tuff and its effect on postcaldera oxygen fugacity","docAbstract":"<p><span>Several cubic kilometers of Paleozoic graphite-bearing argillitic country rocks are present as lithic fragments in Bishop Tuff ignimbrite and fallout. The lithics were entrained by the 650 km</span><sup>3</sup><span><span>&nbsp;</span>of rhyolite magma that vented during the 5- to 6-day-long, caldera-forming eruption at Long Valley, California. The caldera is floored by a 350 km</span><sup>2</sup><span><span>&nbsp;</span>roof plate that collapsed during the eruption and consists in large part of the Paleozoic strata that provided the abundant hornfelsed metapelitic lithic clasts in the tuff. Graphite has been identified by Raman spectroscopy, electron-dispersive spectroscopy, and X-ray diffraction as an irregularly dispersed component in the small fraction of Bishop Tuff pumice that is dark-colored. Carbon concentration has been determined in pumice, lithics, and wall rocks. Values of δ</span><sup>13</sup><span>C range from –21‰ to –29‰ Vienna Peedee Belemnite (VPDB) for pumice, lithics, and argillitic wall rocks, reflecting the biogenic origin of the reduced carbon in oxygen-limited black Paleozoic marine mudrocks. Carbonate contents, measured separately, are negligible in fresh pumice and lithics. Microprobe analyses of titanomagnetite-ilmenite pairs show that oxygen-fugacity values of numerous batches of postcaldera Early Rhyolite (750–640 ka; ~100 km</span><sup>3</sup><span>) are up to one log unit more reduced than those of the temperature–oxygen fugacity (T-fO</span><sub>2</sub><span>) array of the Bishop Tuff (767 ka), despite similar major-element compositions and Fe-Ti–oxide temperature ranges. All of the many batches of Early Rhyolite, which erupted episodically over an interval of ~125,000 years, yield the reduced fO</span><sub>2</sub><span><span>&nbsp;</span>values, indicating that reaction with graphite lowered magmatic fO</span><sub>2</sub><span><span>&nbsp;</span>after the caldera-forming eruption but before the first eruption of Early Rhyolite. It is inferred that reaction of postcaldera rhyolite magma with the reduced carbon in a great mass of subsided roof rocks lowered its fO</span><sub>2</sub><span>. It is suggested that comparable effects could have attended caldera collapse of other magma chambers hosted in continental sedimentary rocks.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01548.1","usgsCitation":"Hildreth, E., Ryan-Davis, J., and Harlow, B., 2017, Graphite in the Bishop Tuff and its effect on postcaldera oxygen fugacity: Geosphere, v. 14, no. 1, p. 343-359, https://doi.org/10.1130/GES01548.1.","productDescription":"17p.","startPage":"343","endPage":"359","ipdsId":"IP-082658","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":461321,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01548.1","text":"Publisher Index Page"},{"id":353117,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Long Valley caldera","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.1,\n              37.75\n            ],\n            [\n              -119.67,\n              37.75\n            ],\n            [\n              -119.67,\n              37.5\n            ],\n            [\n              -119.1,\n              37.5\n            ],\n            [\n              -119.1,\n              37.75\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-28","publicationStatus":"PW","scienceBaseUri":"5afee788e4b0da30c1bfc2c4","contributors":{"authors":[{"text":"Hildreth, Edward 0000-0002-7925-4251 hildreth@usgs.gov","orcid":"https://orcid.org/0000-0002-7925-4251","contributorId":146999,"corporation":false,"usgs":true,"family":"Hildreth","given":"Edward","email":"hildreth@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":732582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ryan-Davis, Juliet 0000-0001-7048-5937 jryan-davis@usgs.gov","orcid":"https://orcid.org/0000-0001-7048-5937","contributorId":193071,"corporation":false,"usgs":true,"family":"Ryan-Davis","given":"Juliet","email":"jryan-davis@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":732581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harlow, Benjamin","contributorId":203879,"corporation":false,"usgs":false,"family":"Harlow","given":"Benjamin","email":"","affiliations":[{"id":36739,"text":"Stable Isotope Core Laboratory, School of Biological Sciences,  Washington State Universtity","active":true,"usgs":false}],"preferred":false,"id":732583,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195134,"text":"70195134 - 2017 - Controls of multi-modal wave conditions in a complex coastal setting","interactions":[],"lastModifiedDate":"2018-02-08T09:32:07","indexId":"70195134","displayToPublicDate":"2018-01-01T00:00:00","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":"Controls of multi-modal wave conditions in a complex coastal setting","docAbstract":"<p><span>Coastal hazards emerge from the combined effect of wave conditions and sea level anomalies associated with storms or low-frequency atmosphere-ocean oscillations. Rigorous characterization of wave climate is limited by the availability of spectral wave observations, the computational cost of dynamical simulations, and the ability to link wave-generating atmospheric patterns with coastal conditions. We present a hybrid statistical-dynamical approach to simulating nearshore wave climate in complex coastal settings, demonstrated in the Southern California Bight, where waves arriving from distant, disparate locations are refracted over complex bathymetry and shadowed by offshore islands. Contributions of wave families and large-scale atmospheric drivers to nearshore wave energy flux are analyzed. Results highlight the variability of influences controlling wave conditions along neighboring coastlines. The universal method demonstrated here can be applied to complex coastal settings worldwide, facilitating analysis of the effects of climate change on nearshore wave climate.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2017GL075272","usgsCitation":"Hegermiller, C., Rueda, A.C., Erikson, L., Barnard, P., Antolinez, J., and Mendez, F.J., 2017, Controls of multi-modal wave conditions in a complex coastal setting: Geophysical Research Letters, v. 44, no. 24, p. 12315-12323, https://doi.org/10.1002/2017GL075272.","productDescription":"9 p.","startPage":"12315","endPage":"12323","ipdsId":"IP-091771","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469224,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017gl075272","text":"Publisher Index Page"},{"id":438116,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7N29V2V","text":"USGS data release","linkHelpText":"Nearshore waves in southern California: hindcast, and modeled historical and 21st-century projected time series"},{"id":351304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122,\n              31\n            ],\n            [\n              -117,\n              31\n            ],\n            [\n              -117,\n              35.5\n            ],\n            [\n              -122,\n              35.5\n            ],\n            [\n              -122,\n              31\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","issue":"24","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-23","publicationStatus":"PW","scienceBaseUri":"5a7c1e76e4b00f54eb229300","contributors":{"authors":[{"text":"Hegermiller, Christie 0000-0002-6383-7508 chegermiller@usgs.gov","orcid":"https://orcid.org/0000-0002-6383-7508","contributorId":149010,"corporation":false,"usgs":true,"family":"Hegermiller","given":"Christie","email":"chegermiller@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":727098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rueda, Ana C.","contributorId":177511,"corporation":false,"usgs":false,"family":"Rueda","given":"Ana","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":727099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":3170,"corporation":false,"usgs":true,"family":"Erikson","given":"Li H.","email":"lerikson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":727100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":138921,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":727101,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Antolinez, J.A.A.","contributorId":201853,"corporation":false,"usgs":false,"family":"Antolinez","given":"J.A.A.","affiliations":[{"id":36274,"text":"University of Cantabria, Spain","active":true,"usgs":false}],"preferred":false,"id":727102,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mendez, Fernando J.","contributorId":177514,"corporation":false,"usgs":false,"family":"Mendez","given":"Fernando","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":727103,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70197620,"text":"70197620 - 2017 - A simulation method for combining hydrodynamic data and acoustic tag tracks to predict the entrainment of juvenile salmonids onto the Yolo Bypass under future engineering scenarios","interactions":[],"lastModifiedDate":"2018-06-14T10:27:56","indexId":"70197620","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"A simulation method for combining hydrodynamic data and acoustic tag tracks to predict the entrainment of juvenile salmonids onto the Yolo Bypass under future engineering scenarios","docAbstract":"<p>During water year 2016 the U.S. Geological Survey California Water Science Center (USGS) collaborated with the California Department of Water Resources (DWR) to conduct a joint hydrodynamic and fisheries study to acquire data that could be used to evaluate the effects of proposed modifications to the Fremont Weir on outmigrating juvenile Chinook salmon. During this study the USGS surgically implanted acoustic tags in juvenile late fall run Chinook salmon from the Coleman National Fish Hatchery, released the acoustically tagged juvenile salmon into the Sacramento River upstream of the Fremont Weir, and tracked their movements as they emigrated past the western end of the Fremont Weir.</p><p>The USGS analyzed tracking data from the acoustically tagged juvenile salmon along with detailed hydrodynamic data collected in the Sacramento River during the winter/spring of water year 2016 in the vicinity of the western end of the Fremont Weir to assess the potential for enhancing the entrainment of Sacramento River Chinook salmon onto the Yolo Bypass under six different Fremont Weir modification scenarios. Each modification scenario consists of a notch or multiple notches in the Fremont Weir which are designed to divert a portion of the Sacramento River onto the Yolo Bypass when the Sacramento River is below the crest of the Fremont Weir. The primary goal of this entrainment analysis was to investigate how the location of the notch or notches in each scenario affected the entrainment of juvenile Chinook salmon onto the Yolo Bypass, and to predict the notch location or locations that would result in maximum entrainment under each modification scenario. </p><p>Stumpner et al.’s (in review) analysis of hydraulic data collected during the 2016 study period showed that backwater effects in the Sacramento River created significant variability in the relationship between Sacramento River stage and the proportion of the Sacramento River flow that we expect to be diverted onto the Yolo Bypass under the modification scenarios. Because of this variability, accurately evaluating the entrainment potential of possible notch locations for each scenario required combining historic abundance data for juvenile Sacramento River Chinook salmon with historic hydraulic data for the Sacramento River in the vicinity of the Fremont Weir, so that the entrainment estimates would reflect the covariance between Sacramento River stage, Sacramento River discharge, and juvenile salmon abundance within the historic record.</p><p>We used a Monte Carlo simulation framework to combine the high resolution hydrodynamic data and acoustic tag track data collected in 2016 with historic juvenile salmon abundance, Sacramento River stage, and Sacramento River discharge data from a period spanning water years 1996-2010 to assess the entrainment potential of different weir modification scenarios under historic conditions. The scenarios we simulated consisted of four single notch configurations, and two multiple notch configurations in the vicinity of the western end of the Fremont Weir. For each notch configuration the 15-water-year entrainment simulation was repeated for 63 possible notch locations in the vicinity of the western end of the Fremont Weir. This approach allowed us to assess the effect of notch location on the entrainment of juvenile salmonids onto the Yolo Bypass for each of the six notch configurations that we evaluated.</p><p>The entrainment simulations showed that the location of each notch configuration had a major impact on the entrainment for each scenario; the predicted entrainment of some scenarios varied by as much as 400% based on where the notch (or notches) was (were) located in the study area. All of the single notch scenarios performed best when they were located within a 330 ft (100 meter) long section of the Sacramento River bank adjacent to the western terminus of the Fremont Weir (Table 1). Both of the multiple notch scenarios performed best when their upstream notches were located about 660 ft (200 meters) upstream of the western terminus of the Fremont Weir (Table 1). The results of the entrainment simulations indicated that for each notch configuration the same notch location produced near-maximum entrainment regardless of run abundance timing; this result suggests that there are areas within the study are where a notch (or notches) can be sited to achieve maximum entrainment for all runs (barring significant behavioral or physiological differences between runs). In addition, the simulation results indicate that for each notch configuration the same location is expected to produce nearmaximum entrainment for both wet water years and dry water years.</p><p>Based on the results of the entrainment simulation we make three general recommendations for strategies to improve the entrainment potential of a notch in the Fremont Weir:</p><p>1) Comparisons between the maximum entrainment potential for each scenario suggested that total entrainment of winter run, spring run, and fall run salmon onto the Yolo Bypass can be increased by increasing the amount of water entering a notch when the Sacramento River stage is between 19 ft and 22 ft NAVD88; this could be accomplished by lowering notch invert elevations or by adding a control section to the Sacramento River to raise stage for a given discharge.</p><p>2) The relationship between Sacramento River stage and entrainment for each scenario indicated that entrainment efficiency for each scenario declined significantly once Sacramento River stage exceeded bankfull (approximately 28.5 ft NAVD88). This effect was likely due to inundation of the floodplain between the Sacramento River and the Fremont Weir; Stumpner et. al (In Review) have documented a reduction in the strength of the secondary circulation and centralization of the downwelling zone in the Sacramento River when this floodplain is inundated. Therefore, increasing the height of the river right bank of the Sacramento River to coincide with the height of the Fremont Weir is recommended to increase entrainment at higher stages. </p><p>3) Bathymetric features upstream of notch openings appeared to have a major impact on the entrainment potential of the simulated notches. For this reason we recommend taking care to avoid siting notches immediately downstream of bank features that alter the sidewall boundary layer, and we expect that smoothing the bank bathymetry upstream of a notch will enhance entrainment. </p><p>Finally, we caution that the entrainment simulation was based on the behavior of large hatchery smolts, so it is likely that our results will be sensitive to any differences in behavior and physiology between these hatchery surrogates and naturally migrating juvenile salmon.</p>","language":"English","publisher":"Delta Stewardship Council","usgsCitation":"Blake, A.R., Stumpner, P., and Burau, J.R., 2017, A simulation method for combining hydrodynamic data and acoustic tag tracks to predict the entrainment of juvenile salmonids onto the Yolo Bypass under future engineering scenarios, 108 p.","productDescription":"108 p.","ipdsId":"IP-089808","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":355046,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":355027,"type":{"id":11,"text":"Document"},"url":"https://deltacouncil.ca.gov/sites/default/files/2018/04/Entrainment%20Analysis_FinalVersion_Released.pdf"}],"country":"United States","state":"California","otherGeospatial":"Yolo Bypass","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e607e4b060350a15d246","contributors":{"authors":[{"text":"Blake, Aaron R. 0000-0001-7348-2336 ablake@usgs.gov","orcid":"https://orcid.org/0000-0001-7348-2336","contributorId":5059,"corporation":false,"usgs":true,"family":"Blake","given":"Aaron","email":"ablake@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":737949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stumpner, Paul 0000-0002-0933-7895 pstump@usgs.gov","orcid":"https://orcid.org/0000-0002-0933-7895","contributorId":5667,"corporation":false,"usgs":true,"family":"Stumpner","given":"Paul","email":"pstump@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":737950,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burau, Jon R. 0000-0002-5196-5035 jrburau@usgs.gov","orcid":"https://orcid.org/0000-0002-5196-5035","contributorId":1500,"corporation":false,"usgs":true,"family":"Burau","given":"Jon","email":"jrburau@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":737951,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195388,"text":"70195388 - 2017 - Human presence diminishes the importance of climate in driving fire activity across the United States","interactions":[],"lastModifiedDate":"2018-02-13T10:58:56","indexId":"70195388","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Human presence diminishes the importance of climate in driving fire activity across the United States","docAbstract":"<p><span>Growing human and ecological costs due to increasing wildfire are an urgent concern in policy and management, particularly given projections of worsening fire conditions under climate change. Thus, understanding the relationship between climatic variation and fire activity is a critically important scientific question. Different factors limit fire behavior in different places and times, but most fire-climate analyses are conducted across broad spatial extents that mask geographical variation. This could result in overly broad or inappropriate management and policy decisions that neglect to account for regionally specific or other important factors driving fire activity. We developed statistical models relating seasonal temperature and precipitation variables to historical annual fire activity for 37 different regions across the continental United States and asked whether and how fire-climate relationships vary geographically, and why climate is more important in some regions than in others. Climatic variation played a significant role in explaining annual fire activity in some regions, but the relative importance of seasonal temperature or precipitation, in addition to the overall importance of climate, varied substantially depending on geographical context. Human presence was the primary reason that climate explained less fire activity in some regions than in others. That is, where human presence was more prominent, climate was less important. This means that humans may not only influence fire regimes but their presence can actually override, or swamp out, the effect of climate. Thus, geographical context as well as human influence should be considered alongside climate in national wildfire policy and management.</span></p>","language":"English","publisher":"PNAS","doi":"10.1073/pnas.1713885114","usgsCitation":"Syphard, A.D., Keeley, J.E., Pfaff, A., and Ferschweiler, K., 2017, Human presence diminishes the importance of climate in driving fire activity across the United States: PNAS, v. 114, no. 52, p. 13750-13755, https://doi.org/10.1073/pnas.1713885114.","productDescription":"6 p.","startPage":"13750","endPage":"13755","ipdsId":"IP-089931","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469225,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1713885114","text":"Publisher Index Page"},{"id":351517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"114","issue":"52","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-11","publicationStatus":"PW","scienceBaseUri":"5afee788e4b0da30c1bfc2cc","contributors":{"authors":[{"text":"Syphard, Alexandra D.","contributorId":8977,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":728343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":728342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pfaff, Anne Hopkins","contributorId":202411,"corporation":false,"usgs":true,"family":"Pfaff","given":"Anne Hopkins","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":728344,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferschweiler, Ken","contributorId":127604,"corporation":false,"usgs":false,"family":"Ferschweiler","given":"Ken","affiliations":[{"id":7074,"text":"Conservation Biology Institute, Covallis OR","active":true,"usgs":false}],"preferred":false,"id":728345,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193093,"text":"70193093 - 2017 - Linking fluvial and aeolian morphodynamics in the Grand Canyon, USA","interactions":[],"lastModifiedDate":"2018-02-12T13:54:54","indexId":"70193093","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Linking fluvial and aeolian morphodynamics in the Grand Canyon, USA","docAbstract":"<p>In river valleys, fluvial and upland landscapes are intrinsically linked through sediment exchange between the active channel, near-channel fluvial deposits, and higher elevation upland deposits. During floods, sediment is transferred from channels to low-elevation nearchannel deposits [Schmidt and Rubin, 1995]. Particularly in dryland river valleys, subsequent aeolian reworking of these flood deposits redistributes sediment to higher elevation upland sites, thus maintaining naturallyoccurring aeolian landscapes [Draut, 2012]. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"RCEM 2017 - Back to Italy: The 10th Symposium on River, Coastal and Estuarine Morphodynamics","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"University of Trento - Italy","usgsCitation":"Kasprak, A., Bangen, S.G., Buscombe, D.D., Caster, J., East, A.E., Grams, P.E., and Sankey, J.B., 2017, Linking fluvial and aeolian morphodynamics in the Grand Canyon, USA, <i>in</i> RCEM 2017 - Back to Italy: The 10th Symposium on River, Coastal and Estuarine Morphodynamics, p. 204-204.","productDescription":"1 p.","startPage":"204","endPage":"204","ipdsId":"IP-083761","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":351495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Grand Canyon","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee788e4b0da30c1bfc2d0","contributors":{"authors":[{"text":"Kasprak, Alan 0000-0001-8184-6128 akasprak@usgs.gov","orcid":"https://orcid.org/0000-0001-8184-6128","contributorId":190848,"corporation":false,"usgs":true,"family":"Kasprak","given":"Alan","email":"akasprak@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":717956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bangen, Sara G.","contributorId":190858,"corporation":false,"usgs":false,"family":"Bangen","given":"Sara","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":717957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buscombe, Daniel D. 0000-0001-6217-5584","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":198817,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","middleInitial":"D.","affiliations":[],"preferred":false,"id":717958,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caster, Joshua 0000-0002-2858-1228 jcaster@usgs.gov","orcid":"https://orcid.org/0000-0002-2858-1228","contributorId":199033,"corporation":false,"usgs":true,"family":"Caster","given":"Joshua","email":"jcaster@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":717959,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":717960,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":717961,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":717962,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70195572,"text":"70195572 - 2017 - Production and evaluation of YY-male Brook Trout to eradicate nonnative wild brook trout populations","interactions":[],"lastModifiedDate":"2018-02-22T15:41:51","indexId":"70195572","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Production and evaluation of YY-male Brook Trout to eradicate nonnative wild brook trout populations","docAbstract":"Nonnative Brook Trout Salvelinus fontinalis were introduced throughout western North America in the early 1900s, resulting in widespread self-sustaining populations that are difficult to eradicate and often threaten native salmonid populations. A novel approach for their eradication involves use of YY male (MYY) Brook Trout (created in the hatchery by feminizing XY males and crossing them with normal XY males). If MYY Brook Trout survive after stocking, and reproduce successfully with wild females, in theory this could eventually drive the sex ratio of the wild population to 100% males, at which point the population would not be able to reproduce and would be eradicated. This study represents the first successful development of a FYY and MYY salmonid broodstock, which was produced in four years at relatively low cost. Field trials demonstrated that stocked hatchery MYY Brook Trout survived and produced viable MYY offspring in streams, although reproductive fitness appeared to have been lower than their wild conspecifics. Even if reduced fitness is the norm in both streams and alpine lakes, our population simulations suggest that eradication can be achieved in reasonable time periods under some MYY stocking scenarios, especially when wild Brook Trout are simultaneously suppressed in the population.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wild Trout Symposium XII—Science, Politics, and Wild Trout Management: Who’s Driving and Where Are We Going?","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Wild Trout XII Symposium","conferenceDate":"September 26-29, 2017","conferenceLocation":"West Yellowstone, MT","language":"English","publisher":"Wild Trout XII Symposium","usgsCitation":"Kennedy, P., Schill, D.J., Meyer, K., Campbell, M.R., Vu, N.V., and Hansen, M.J., 2017, Production and evaluation of YY-male Brook Trout to eradicate nonnative wild brook trout populations, <i>in</i> Wild Trout Symposium XII—Science, Politics, and Wild Trout Management: Who’s Driving and Where Are We Going?, West Yellowstone, MT, September 26-29, 2017, p. 251-260.","productDescription":"10 p.","startPage":"251","endPage":"260","ipdsId":"IP-091320","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":351889,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":351886,"type":{"id":15,"text":"Index Page"},"url":"https://www.wildtroutsymposium.com/proceedings.php"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee788e4b0da30c1bfc2ca","contributors":{"authors":[{"text":"Kennedy, Patrick","contributorId":202687,"corporation":false,"usgs":false,"family":"Kennedy","given":"Patrick","email":"","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":729329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schill, Daniel J.","contributorId":195886,"corporation":false,"usgs":false,"family":"Schill","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":729330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Kevin A.","contributorId":195887,"corporation":false,"usgs":false,"family":"Meyer","given":"Kevin A.","affiliations":[],"preferred":false,"id":729331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, Matthew R.","contributorId":145882,"corporation":false,"usgs":false,"family":"Campbell","given":"Matthew","email":"","middleInitial":"R.","affiliations":[{"id":16279,"text":"Idaho Department of Fish & Game","active":true,"usgs":false}],"preferred":false,"id":729332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vu, Ninh V.","contributorId":145735,"corporation":false,"usgs":false,"family":"Vu","given":"Ninh","email":"","middleInitial":"V.","affiliations":[{"id":16214,"text":"Montana State University, Department of Ecology","active":true,"usgs":false}],"preferred":false,"id":729333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":729328,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70211525,"text":"70211525 - 2017 - The Southern Appalachian Brook Trout management conundrum: What should restoration look like in the 21st Century?","interactions":[],"lastModifiedDate":"2020-08-04T22:42:32.799735","indexId":"70211525","displayToPublicDate":"2017-12-31T17:32:27","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The Southern Appalachian Brook Trout management conundrum: What should restoration look like in the 21st Century?","docAbstract":"<p>Brook Trout <i>Salvelinus fontinalis</i> in the southern Appalachian portion of their range have been isolated in remote headwater systems for millennia. Recent genetic investigations indicate extremely low allelic diversity, heterozygosity and effective population sizes in many streams. In populations restored using multiple source stocks, limited introgression has been observed despite source stocks being collected from streams within the same subwatershed. It remains unclear if pre- and/or post-reproductive isolating mechanisms are restricting effective gene flow among source stocks in restored streams. Objectives of this study were to: 1) identify environmental variables contributing to assortative mating, and 2) use common garden crossings to determine if wild type brood stock crossings resulted in physiologically viable offspring. We observed markedly different fertilization success rates within-population (66.7%) and betweenpopulation (91.7%) from the 42 crosses (N=18 control, N=24 treatment). Moreover, we observed significant (P &lt; 0.05) differences between within-population and between-population groups in each of our linear mixed effects global models for each trial stage of development (i.e., fertilization rate, eyed egg rate, and hatch rates). Tukey’s HSD comparisons revealed only one significantly (P &lt; 0.003) different fertilization rate among the forty five pairwise comparisons in each of our three stages of trails. In addition, we observed differential peaks of gamete production within and among source stream brood stock, despite common garden conditions, that appeared to have limited fertilization success rates between interstream and control groups. Despite differential peak gamete timing, intrastream crosses performed equally, and, in some instances, better than those between control groups. Our results suggest differential responses to shared environmental conditions (i.e., temperature and/or photoperiod) may contribute to mismatched spawning phenology (i.e., gamete production timing) among restoration founder stocks leading to introgression (i.e., genetic admixture). The application of contemporary genetic techniques could help determine if these possible local adaptations are genetically fixed or may break down over time in restored populations with mixed source stocks. These findings demonstrate the need to apply contemporary conservation genetics tools to future wild trout restoration projects using translocated source stock towards the goal of “genetically-robust”, naturally reproducing populations with the ability to cope with current and future perturbations.</p>","largerWorkTitle":"Proceedings of the wild trout XII symposium","conferenceTitle":"Wild Trout XII Symposium","conferenceDate":"Sep 26-29, 2017","conferenceLocation":"West Yellowstone, MT","language":"English","publisher":"Wild Trout Symposium","usgsCitation":"Kulp, M.A., Mitchell, S., Kazyak, D., Kuhajda, B.R., Henegar, J., Weathers, T.C., George, A., Ennen, J., and King, T., 2017, The Southern Appalachian Brook Trout management conundrum: What should restoration look like in the 21st Century?, <i>in</i> Proceedings of the wild trout XII symposium, West Yellowstone, MT, Sep 26-29, 2017, p. 65-75.","productDescription":"11 p.","startPage":"65","endPage":"75","ipdsId":"IP-090917","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":377028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Tennessee","otherGeospatial":"Cosby Creek, Great Smoky Mountains National Park, Greenbrier Creek, Indian Camp Creek, Leconte Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.15414428710938,\n              35.806676609227054\n            ],\n            [\n              -83.1719970703125,\n              35.808904044068626\n            ],\n            [\n              -83.62518310546875,\n              35.713067954913896\n            ],\n            [\n              -83.57986450195312,\n              35.641673184600585\n            ],\n            [\n              -83.38623046875,\n              35.65952786487723\n            ],\n            [\n              -83.14178466796875,\n              35.725332497303015\n            ],\n            [\n              -83.15414428710938,\n              35.806676609227054\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kulp, Matt A.","contributorId":196801,"corporation":false,"usgs":false,"family":"Kulp","given":"Matt","email":"","middleInitial":"A.","affiliations":[{"id":35484,"text":"National Park Service, Great Smoky Mountains National Park","active":true,"usgs":false}],"preferred":false,"id":794506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Shawna","contributorId":236864,"corporation":false,"usgs":false,"family":"Mitchell","given":"Shawna","email":"","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":794507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":202481,"corporation":false,"usgs":true,"family":"Kazyak","given":"David C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":794508,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuhajda, Bernard R.","contributorId":152490,"corporation":false,"usgs":false,"family":"Kuhajda","given":"Bernard","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":794509,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Henegar, Jason","contributorId":236865,"corporation":false,"usgs":false,"family":"Henegar","given":"Jason","email":"","affiliations":[{"id":13408,"text":"Tennessee Wildlife Resources Agency","active":true,"usgs":false}],"preferred":false,"id":794510,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weathers, T. 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