{"pageNumber":"797","pageRowStart":"19900","pageSize":"25","recordCount":184617,"records":[{"id":70208483,"text":"70208483 - 2018 - Opportunities to enhance seismic demand parameters for future editions of the AS1170.4","interactions":[],"lastModifiedDate":"2020-02-12T07:00:44","indexId":"70208483","displayToPublicDate":"2018-12-31T06:59:56","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Opportunities to enhance seismic demand parameters for future editions of the AS1170.4","docAbstract":"Geoscience Australia has recently released its 2018 National Seismic Hazard Assessment (NSHA18). Results from the NSHA18 indicate significantly lower seismic hazard across almost all Australian localities at the 1/500 annual exceedance probability level relative to the factors adopted for the current Australian Standard AS1170.4–2007 (R2018). These new hazard estimates, coupled with larger probability factors (kp) for long return periods, have challenged notions of seismic hazard in Australia in terms of the recurrence of damaging ground motions. As a consequence, the new hazard estimates have raised questions over the appropriateness of the prescribed National Construction Code probability level as used in the AS1170.4 to determine appropriate seismic demands for the design of ordinary-use structures. Therefore, it is suggested that the ground-motion exceedance probability used in the current AS1170.4 be reviewed in light of the recent hazard assessment and the expected performance of modern buildings for rarer ground motions.\nWhilst adjusting the AS1170.4 exceedance probability level would be a major departure from previous earthquake loading standards, it would bring it into line with other international building codes in similar tectonic environments. Additionally, it would offer opportunities to further modernise how seismic demands are considered in Australian building design. In particular, the authors highlight the following additional opportunities: 1) the use of uniform hazard spectra to replace and simplify the spectral shape factors, which do not deliver uniform hazard across all natural periods; 2) updated site amplification factors to ensure continuity with modern ground-motion models, and; 3) the potential to define design ground motions in terms of uniform collapse risk rather than uniform hazard.\nEstimation of seismic hazard at any location is an uncertain science. However, as our knowledge improves, our estimates of the hazard will converge more closely to the actual – but unknowable – (time independent) hazard. It is therefore prudent to regularly update the estimates of the seismic demands in our building codes using the best available evidence-based methods and models.","conferenceTitle":"Australian Earthquake Engineering Society 2018 Conference","conferenceDate":"November 16-18, 2018","conferenceLocation":"Perth, AU","language":"English","publisher":"Australian Earthquake Engineering Society","usgsCitation":"Allen, T., and Luco, N., 2018, Opportunities to enhance seismic demand parameters for future editions of the AS1170.4, Australian Earthquake Engineering Society 2018 Conference, Perth, AU, November 16-18, 2018, 14 p.","productDescription":"14 p.","ipdsId":"IP-103256","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":372258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":372242,"type":{"id":15,"text":"Index Page"},"url":"https://aees.org.au/wp-content/uploads/2019/12/01-Trevor-Allen.pdf"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Allen, Trevor I.","contributorId":138667,"corporation":false,"usgs":false,"family":"Allen","given":"Trevor","middleInitial":"I.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":782080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782079,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70227975,"text":"70227975 - 2018 - Low-dose stimulation of growth of the harmful alga, Prymnesium parvum, by glyphosate and glyphosate-based herbicides","interactions":[],"lastModifiedDate":"2022-02-03T20:37:23.926881","indexId":"70227975","displayToPublicDate":"2018-12-30T14:26:57","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Low-dose stimulation of growth of the harmful alga, Prymnesium parvum , by glyphosate and glyphosate-based herbicides","title":"Low-dose stimulation of growth of the harmful alga, Prymnesium parvum, by glyphosate and glyphosate-based herbicides","docAbstract":"

Glyphosate-based herbicides (GBH) are widely used around the globe. While generally toxic to phototrophs, organic phosphorus in glyphosate can become available to glyphosate-resistant phytoplankton and contribute to algal bloom development. Few studies have examined the effects of GBH on growth of eukaryotic microalgae and information for the toxic bloom-forming haptophyte, Prymnesium parvum, is limited. Using a batch-culture system, this study examined the effects on P. parvum growth of a single application of Roundup Weed and Grass Killer Super Concentrate Plus® (Roundup SC), Roundup Weed and Grass Killer Ready-to-Use III® (Roundup RtU), and technical-grade glyphosate at low concentrations [0-1000 μg glyphosate acid equivalent (ae) l-1]. Roundup formulations differ in the percent of glyphosate as active ingredient (Roundup SC, ∼50%; Roundup RtU, 2%), allowing indirect evaluation of the influence of inactive ingredients. Roundup SC enhanced exponential growth rate at 10-1000 μg glyphosate ae l-1, and a positive monotonic association was noted between Roundup SC concentration and early (pre-exponential growth) but not maximum cell density. Glyphosate and both Roundup formulations enhanced growth rate at 100 μg glyphosate l-1, but only Roundup SC and glyphosate significantly stimulated early and maximum density. This observation suggests the higher concentration of inactive ingredients and other compounds in Roundup RtU partially counteracts glyphosate-dependent growth stimulation. When phosphate concentration was varied while maintaining other conditions constant, addition of Roundup SC and glyphosate at 100 μg l-1 influenced growth more strongly than equivalent changes in phosphate-associated phosphorus. It appears, therefore, that low doses of glyphosate stimulate growth by mechanisms unrelated to the associated small increases in total phosphorus. In conclusion, glyphosate and GBH stimulate P. parvum growth at low, environmentally relevant concentrations. This finding raises concerns about the potential contribution to P. parvum blooms by glyphosate-contaminated runoff or by direct application of GBH to aquatic environments.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2018.11.004","usgsCitation":"Dabney, B.L., and Patino, R., 2018, Low-dose stimulation of growth of the harmful alga, Prymnesium parvum, by glyphosate and glyphosate-based herbicides: Harmful Algae, v. 80, p. 130-139, https://doi.org/10.1016/j.hal.2018.11.004.","productDescription":"10 p.","startPage":"130","endPage":"139","ipdsId":"IP-099424","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dabney, Brittanie L.","contributorId":174359,"corporation":false,"usgs":false,"family":"Dabney","given":"Brittanie","email":"","middleInitial":"L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":833095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832840,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70211536,"text":"70211536 - 2018 - Crisis remote sensing during the 2018 lower East Rift Zone eruption of Kīlauea Volcano","interactions":[],"lastModifiedDate":"2020-07-30T15:35:05.351897","indexId":"70211536","displayToPublicDate":"2018-12-30T10:32:03","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5987,"text":"Photogrammetric Engineering & Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Crisis remote sensing during the 2018 lower East Rift Zone eruption of Kīlauea Volcano","docAbstract":"Kīlauea Volcano, Hawai‘i, is renowned as one of the most active and closely monitored volcanoes on Earth. Scores of seismometers and deformation sensors form an array across the volcano to detect subsurface magmatic activity, and ground observers track eruptions on the surface. In addition to this dense ground-based monitoring, remote sensing – both airborne and spaceborne – has become a backbone tool at the U.S. Geological Survey’s (USGS) Hawaiian Volcano Observatory (HVO) for mapping activity and forecasting volcanic hazards. Remote observations were critical components of HVO’s response to the historically unprecedented 2018 eruption from Kīlauea’s lower East Rift Zone (ERZ); here we describe some of the many types of remote sensing tools that were utilized, and the specific monitoring roles they filled.","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing (ASPRS)","doi":"10.14358/PERS.84.12.749","usgsCitation":"Zoeller, M., Patrick, M.R., and Neal, C.A., 2018, Crisis remote sensing during the 2018 lower East Rift Zone eruption of Kīlauea Volcano: Photogrammetric Engineering & Remote Sensing, v. 84, no. 12, p. 749-751, https://doi.org/10.14358/PERS.84.12.749.","productDescription":"3 p.","startPage":"749","endPage":"751","ipdsId":"IP-101942","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":468170,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.84.12.749","text":"Publisher Index Page"},{"id":376898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano, Lower East Rift Zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.42358398437497,\n 19.141276144722184\n ],\n [\n -155.1214599609375,\n 19.21391262405755\n ],\n [\n -155.0006103515625,\n 19.298182590865377\n ],\n [\n -154.99099731445312,\n 19.46141299683288\n ],\n [\n -155.42358398437497,\n 19.454938719968585\n ],\n [\n -155.42358398437497,\n 19.141276144722184\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"84","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zoeller, Michael H. 0000-0003-4716-8567","orcid":"https://orcid.org/0000-0003-4716-8567","contributorId":195428,"corporation":false,"usgs":false,"family":"Zoeller","given":"Michael H.","affiliations":[],"preferred":false,"id":794563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":794564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neal, Christina A. 0000-0002-7697-7825 tneal@usgs.gov","orcid":"https://orcid.org/0000-0002-7697-7825","contributorId":131135,"corporation":false,"usgs":true,"family":"Neal","given":"Christina","email":"tneal@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":794565,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70204436,"text":"70204436 - 2018 - Patch and landscape responses of bird abundance to fragmentation in agroecosystems of east-central Argentina","interactions":[],"lastModifiedDate":"2019-07-25T12:41:54","indexId":"70204436","displayToPublicDate":"2018-12-29T12:41:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Patch and landscape responses of bird abundance to fragmentation in agroecosystems of east-central Argentina","docAbstract":"Forest fragmentation in agroecosystems is linked to declines of avian species worldwide. Agriculture has greatly reduced native forest cover in east-central Argentina. Assessing the influence of fragmentation on forest bird populations is vital to inform reliable conservation and management strategies for the Espinal region of Argentina. We determined the relationships of vegetation structure within native forest patches, size and shape of these patches (patch scale), composition and spatial configuration (at landscape scale) to relative abundance of 17 forest bird species during austral fall-winter and spring-summer seasons. Birds were sampled from 2007 – 2009 in 45 forest patches within three landscape mosaics (30x30 km) representing a gradient of native forest fragmentation in east-central Argentina. We used an information-theoretic approach and approximated model inference to examine the effect of predictor environmental variables at two spatial scales on patterns of forest bird abundance. Density of trees within forest patches was the main predictor of bird abundance at the patch scale. Amount of forest and spatial configuration were also important. The abundance of several bird species was greater in patches with high density of trees and landscapes characterized by more forest cover and larger patches in close proximity. We found two main avian response patterns to forest fragmentation and patch characteristics. This information contributes reliable knowledge for the design of conservation measures of agricultural landscapes in the Espinal region of Argentina.","language":"English","publisher":"Avian Conservation and Ecology","doi":"10.5751/ACE-01222-130203","usgsCitation":"Vilella, F., Calamari, N., and Mercuri, P., 2018, Patch and landscape responses of bird abundance to fragmentation in agroecosystems of east-central Argentina: Avian Conservation and Ecology, v. 13, no. 2, 3 p., https://doi.org/10.5751/ACE-01222-130203.","productDescription":"3 p.","ipdsId":"IP-083012","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468171,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-01222-130203","text":"Publisher Index Page"},{"id":365947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Argentina","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-65.5,-55.2],[-66.45,-55.25],[-66.95992,-54.89681],[-67.56244,-54.87001],[-68.63335,-54.8695],[-68.63401,-52.63637],[-68.25,-53.1],[-67.75,-53.85],[-66.45,-54.45],[-65.05,-54.7],[-65.5,-55.2]]],[[[-64.96489,-22.07586],[-64.37702,-22.79809],[-63.98684,-21.99364],[-62.84647,-22.03499],[-62.68506,-22.24903],[-60.84656,-23.88071],[-60.02897,-24.0328],[-58.80713,-24.77146],[-57.77722,-25.16234],[-57.63366,-25.60366],[-58.61817,-27.12372],[-57.60976,-27.3959],[-56.4867,-27.5485],[-55.69585,-27.38784],[-54.78879,-26.62179],[-54.62529,-25.73926],[-54.13005,-25.54764],[-53.62835,-26.12487],[-53.64874,-26.92347],[-54.49073,-27.47476],[-55.16229,-27.88192],[-56.2909,-28.85276],[-57.62513,-30.21629],[-57.87494,-31.01656],[-58.14244,-32.0445],[-58.13265,-33.04057],[-58.34961,-33.26319],[-58.42707,-33.90945],[-58.49544,-34.43149],[-57.22583,-35.28803],[-57.36236,-35.97739],[-56.73749,-36.41313],[-56.78829,-36.90157],[-57.74916,-38.18387],[-59.23186,-38.72022],[-61.23745,-38.92842],[-62.33596,-38.82771],[-62.12576,-39.4241],[-62.33053,-40.17259],[-62.14599,-40.6769],[-62.7458,-41.02876],[-63.77049,-41.16679],[-64.73209,-40.80268],[-65.11804,-41.06431],[-64.97856,-42.058],[-64.30341,-42.35902],[-63.75595,-42.04369],[-63.45806,-42.56314],[-64.3788,-42.87356],[-65.1818,-43.49538],[-65.32882,-44.50137],[-65.56527,-45.03679],[-66.50997,-45.03963],[-67.29379,-45.5519],[-67.58055,-46.30177],[-66.59707,-47.03392],[-65.64103,-47.23613],[-65.98509,-48.13329],[-67.16618,-48.69734],[-67.81609,-49.86967],[-68.72875,-50.26422],[-69.13854,-50.73251],[-68.81556,-51.7711],[-68.14999,-52.34998],[-68.57155,-52.29944],[-69.49836,-52.14276],[-71.9148,-52.00902],[-72.3294,-51.42596],[-72.30997,-50.67701],[-72.97575,-50.74145],[-73.32805,-50.37879],[-73.41544,-49.31844],[-72.64825,-48.87862],[-72.33116,-48.24424],[-72.44736,-47.73853],[-71.91726,-46.88484],[-71.55201,-45.56073],[-71.65932,-44.97369],[-71.22278,-44.78424],[-71.3298,-44.40752],[-71.79362,-44.20717],[-71.46406,-43.78761],[-71.91542,-43.40856],[-72.1489,-42.25489],[-71.7468,-42.05139],[-71.91573,-40.83234],[-71.68076,-39.80816],[-71.41352,-38.91602],[-70.81466,-38.553],[-71.11863,-37.57683],[-71.12188,-36.65812],[-70.36477,-36.00509],[-70.38805,-35.16969],[-69.81731,-34.19357],[-69.81478,-33.27389],[-70.0744,-33.09121],[-70.53507,-31.36501],[-69.91901,-30.33634],[-70.01355,-29.36792],[-69.65613,-28.45914],[-69.00123,-27.52121],[-68.29554,-26.89934],[-68.5948,-26.50691],[-68.386,-26.18502],[-68.41765,-24.51855],[-67.32844,-24.0253],[-66.98523,-22.98635],[-67.10667,-22.73592],[-66.27334,-21.83231],[-64.96489,-22.07586]]]]},\"properties\":{\"name\":\"Argentina\"}}]}","volume":"13","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vilella, Francisco 0000-0003-1552-9989 fvilella@usgs.gov","orcid":"https://orcid.org/0000-0003-1552-9989","contributorId":171363,"corporation":false,"usgs":true,"family":"Vilella","given":"Francisco","email":"fvilella@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":766902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calamari, N.C.","contributorId":217496,"corporation":false,"usgs":false,"family":"Calamari","given":"N.C.","email":"","affiliations":[{"id":39653,"text":"Instituto Nacional de Tecnología Agropecuaria","active":true,"usgs":false}],"preferred":false,"id":766903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mercuri, P.A.","contributorId":217497,"corporation":false,"usgs":false,"family":"Mercuri","given":"P.A.","email":"","affiliations":[{"id":39653,"text":"Instituto Nacional de Tecnología Agropecuaria","active":true,"usgs":false}],"preferred":false,"id":766904,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202869,"text":"70202869 - 2018 - Seasonal surveillance confirms the range expansion of Aedes japonicus japonicas (Theobald) (Diptera: Culicidae) to the Hawaiian Islands of Oahu and Kauai","interactions":[],"lastModifiedDate":"2019-04-03T13:59:33","indexId":"70202869","displayToPublicDate":"2018-12-28T14:18:52","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5825,"text":"Journal of Asia-Pacific Entomology","printIssn":"1226-8615","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Seasonal surveillance confirms the range expansion of (Aedes japonicus japonicas) (Theobald) (Diptera: Culicidae) to the Hawaiian Islands of Oahu and Kauai","title":"Seasonal surveillance confirms the range expansion of Aedes japonicus japonicas (Theobald) (Diptera: Culicidae) to the Hawaiian Islands of Oahu and Kauai","docAbstract":"

The Asian bush mosquito, Aedes japonicus japonicus (Theobald) was not known to occur in the Hawaii archipelago until it was identified on the island of Hawaii in 2003. This mosquito species remained undetected on the neighboring islands for 8 years before it was discovered at the Honolulu International Airport on Oahu in 2012. By 2015, four Ae. j. japonicus mosquitoes were collected in the western mountains of Oahu and one was collected in the central mountains of Kauai. The collection of this invasive mosquito species across the neighboring Hawaiian Islands of Oahu and Kauai indicated the need for increased seasonal surveillance on these islands. Following nearly four years of surveillance, Ae. j. japonicus was also confirmed to occur in the eastern mountains of Oahu and in the central mountainous region of Kauai. To expand the knowledge of the spread of invasive mosquitoes species further surveillance is necessary to identify all possible areas where populations of Ae. j. japonicus and other invasive mosquito species occur in Hawaiian archipelago.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.aspen.2018.10.015","usgsCitation":"Harwood, J., Fiorenzanoa, J., Gerardoa, E., Black, T., Hasty, J., and Lapointe, D., 2018, Seasonal surveillance confirms the range expansion of Aedes japonicus japonicas (Theobald) (Diptera: Culicidae) to the Hawaiian Islands of Oahu and Kauai: Journal of Asia-Pacific Entomology, v. 21, no. 4, p. 1366-1372, https://doi.org/10.1016/j.aspen.2018.10.015.","productDescription":"7 p.","startPage":"1366","endPage":"1372","ipdsId":"IP-099382","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":362661,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States ","state":"Hawaii","otherGeospatial":"Kauai, Island, Maui Island, Oahu Island","volume":"21","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harwood, James","contributorId":214595,"corporation":false,"usgs":false,"family":"Harwood","given":"James","email":"","affiliations":[{"id":39082,"text":"Entomology Department, Navy Environmental and Preventive Medicine Unit Six, Pearl Harbor, Hawaii","active":true,"usgs":false}],"preferred":false,"id":760345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fiorenzanoa, Jodi","contributorId":214596,"corporation":false,"usgs":false,"family":"Fiorenzanoa","given":"Jodi","email":"","affiliations":[{"id":39082,"text":"Entomology Department, Navy Environmental and Preventive Medicine Unit Six, Pearl Harbor, Hawaii","active":true,"usgs":false}],"preferred":false,"id":760346,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gerardoa, Elizabeth","contributorId":214597,"corporation":false,"usgs":false,"family":"Gerardoa","given":"Elizabeth","email":"","affiliations":[{"id":39082,"text":"Entomology Department, Navy Environmental and Preventive Medicine Unit Six, Pearl Harbor, Hawaii","active":true,"usgs":false}],"preferred":false,"id":760347,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Black, Theodore 0000-0002-9135-4829","orcid":"https://orcid.org/0000-0002-9135-4829","contributorId":214615,"corporation":false,"usgs":false,"family":"Black","given":"Theodore","email":"","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":false,"id":760400,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hasty, Jeomhee","contributorId":214598,"corporation":false,"usgs":false,"family":"Hasty","given":"Jeomhee","email":"","affiliations":[{"id":39083,"text":"Environmental Health Division, Hawaii Department of Health","active":true,"usgs":false}],"preferred":false,"id":760348,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LaPointe, Dennis A. 0000-0002-6323-263X dlapointe@usgs.gov","orcid":"https://orcid.org/0000-0002-6323-263X","contributorId":150365,"corporation":false,"usgs":true,"family":"LaPointe","given":"Dennis","email":"dlapointe@usgs.gov","middleInitial":"A.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":760344,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202899,"text":"70202899 - 2018 - Increasing temperature seasonality may overwhelm shifts in soil moisture to favor shrub grass dominance in Colorado Plateau drylands","interactions":[],"lastModifiedDate":"2019-04-05T12:46:49","indexId":"70202899","displayToPublicDate":"2018-12-28T14:10:56","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Increasing temperature seasonality may overwhelm shifts in soil moisture to favor shrub grass dominance in Colorado Plateau drylands","docAbstract":"Ecosystems in the southwestern U.S. are hotspots for climate change, and are predicted to experience continued warming and drying. In these water-limited systems, the balance between herbaceous and woody plant abundance impacts biodiversity and ecosystem processes, highlighting the need to understand how climate change will influence functional composition. However, variability in topo-edaphic conditions, notably soil texture and depth, as well as a long history of disturbance, confound efforts to quantify specific climatic controls over plant functional composition. Here, we utilized a mechanistic soil water model and identified the timing and depth at which soil moisture related most strongly to the balance between grass and shrub dominance in the Southern Colorado Plateau. Shrubs dominate where there is high soil moisture availability during winter, and where temperature is more seasonally variable, while grasses are favored where moisture is available during summer and temperatures are higher. Climate change projections indicate increases in seasonal temperature variability and decreases in summer soil moisture, which both favor shrub dominance. However, projections also include substantial and reliable increases in temperature, which favors grass dominance. Rising temperatures overwhelm both the soil moisture and temperature variability effects favoring shrubs such that our models indicate increasing grasses at these sites. This approach, which incorporates local, edaphic factors at sites protected from disturbance, improves understanding of climate change impacts on plant functional composition and may be useful in other complex dryland regions with high edaphic and climatic heterogeneity.","language":"English","publisher":"Springer","doi":"10.1007/s00442-018-4282-4","usgsCitation":"Gremer, J., Andrews, C.M., Norris, J.R., Thomas, L.P., Munson, S.M., Duniway, M.C., and Bradford, J.B., 2018, Increasing temperature seasonality may overwhelm shifts in soil moisture to favor shrub grass dominance in Colorado Plateau drylands: Oecologia, v. 188, p. 1195-1207, https://doi.org/10.1007/s00442-018-4282-4.","productDescription":"13 p.","startPage":"1195","endPage":"1207","ipdsId":"IP-095161","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":362717,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado Plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.23406982421875,\n 37.76202988573211\n ],\n [\n -109.05853271484374,\n 37.76202988573211\n ],\n [\n -109.05853271484374,\n 39.37889504706486\n ],\n [\n -110.23406982421875,\n 39.37889504706486\n ],\n [\n -110.23406982421875,\n 37.76202988573211\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"188","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Gremer, Jennifer R.","contributorId":181751,"corporation":false,"usgs":false,"family":"Gremer","given":"Jennifer R.","affiliations":[],"preferred":false,"id":760415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrews, Caitlin M. 0000-0003-4593-1071 candrews@usgs.gov","orcid":"https://orcid.org/0000-0003-4593-1071","contributorId":192985,"corporation":false,"usgs":true,"family":"Andrews","given":"Caitlin","email":"candrews@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":760417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norris, Jodi R.","contributorId":190196,"corporation":false,"usgs":false,"family":"Norris","given":"Jodi","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":760418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomas, Lisa P.","contributorId":189631,"corporation":false,"usgs":false,"family":"Thomas","given":"Lisa","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":760419,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":760420,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":760421,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":760416,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70202001,"text":"70202001 - 2018 - Coseismic sackungen in the New Madrid seismic zone, USA","interactions":[],"lastModifiedDate":"2019-02-05T10:52:25","indexId":"70202001","displayToPublicDate":"2018-12-28T10:52:17","publicationYear":"2018","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":"Coseismic sackungen in the New Madrid seismic zone, USA","docAbstract":"

High‐resolution lidar reveals newly recognized evidence of strong shaking in the New Madrid seismic zone in the central United States. We mapped concentrations of sackungen (ridgetop spreading features) on bluffs along the eastern Mississippi River valley in northwestern Tennessee that likely form or are reactivated during large earthquakes. These sackungen are concentrated on the hanging wall of the Reelfoot reverse fault and show a preferential orientation indicating ground failure normal to fault strike. These observations suggest that the sackungen record one or more earthquakes on the southern Reelfoot fault since the deposition of the ~30‐ to 11‐ka Peoria Loess and potentially constrain the minimum intensity of near‐fault ground motion. This study demonstrates that sackungen can be used to infer fault source and mechanism and, in combination with field‐based techniques, improve paleoseismic records and seismic hazard models.

","language":"English","publisher":"AGU","doi":"10.1029/2018GL080493","usgsCitation":"Delano, J.E., Gold, R.D., Briggs, R.W., and Jibson, R.W., 2018, Coseismic sackungen in the New Madrid seismic zone, USA: Geophysical Research Letters, v. 45, no. 24, p. 13258-13268, https://doi.org/10.1029/2018GL080493.","productDescription":"11 p.","startPage":"13258","endPage":"13268","ipdsId":"IP-103137","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":468172,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018gl080493","text":"Publisher Index Page"},{"id":437639,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RFHA23","text":"USGS data release","linkHelpText":"Data Set S1 for "Coseismic Sackungen in the New Madrid Seismic Zone, USA""},{"id":361010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"New Madrid Seismic Zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.5833,\n 36\n ],\n [\n -89.1667,\n 36\n ],\n [\n -89.1667,\n 36.5\n ],\n [\n -89.5833,\n 36.5\n ],\n [\n -89.5833,\n 36\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"24","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Delano, Jaime E. 0000-0003-2601-2600","orcid":"https://orcid.org/0000-0003-2601-2600","contributorId":210604,"corporation":false,"usgs":true,"family":"Delano","given":"Jaime","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":756604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":756605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":139002,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":756606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jibson, Randall W. 0000-0003-3399-0875 jibson@usgs.gov","orcid":"https://orcid.org/0000-0003-3399-0875","contributorId":2985,"corporation":false,"usgs":true,"family":"Jibson","given":"Randall","email":"jibson@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":756607,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201804,"text":"70201804 - 2018 - Taxonomic evaluation of the three “type” specimens of the fringe-footed shrew, Sorex fimbripes Bachman, 1837 (Mammalia: Soricidae) and recommended nomenclatural status of the name","interactions":[],"lastModifiedDate":"2019-01-30T15:09:10","indexId":"70201804","displayToPublicDate":"2018-12-27T15:08:51","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3147,"text":"Proceedings of the Biological Society of Washington","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Taxonomic evaluation of the three “type” specimens of the fringe-footed shrew, Sorex fimbripes Bachman, 1837 (Mammalia: Soricidae) and recommended nomenclatural status of the name","title":"Taxonomic evaluation of the three “type” specimens of the fringe-footed shrew, Sorex fimbripes Bachman, 1837 (Mammalia: Soricidae) and recommended nomenclatural status of the name","docAbstract":"

John Bachman (1837:391) described the “fringe-footed shrew,” Sorex fimbripes Bachman, 1837, in his landmark monograph on the North American Soricidae (Mammalia: Eulipotyphla), in which he recognized 13 uniquely New World species. Characters he attributed to S. fimbripes resulted in its being interpreted as a tiny, semi-aquatic species and contributed to the complexity of its subsequent taxonomic history. The status and location of the holotype, which should aid in resolving questions about the nature of S. fimbripes, instead have added to the confusion. Originally studied by Bachman in South Carolina, the holotype was later thought to have been identified in the Academy of Natural Sciences of Philadelphia (ANSP), and it is currently considered to be in the National Museum of Natural History (USNM), Washington, D.C. To clarify the identity of the species and its holotype, I compared descriptions of the holotype and the ANSP type with the USNM specimen and with eight species of eastern North American shrews. I conclude that the three accounts of S. fimbripes refer to three different specimens and that the holotype was probably destroyed during the American Civil War. Bachman's S. fimbripes was most likely equivalent to S. cinereus Kerr, 1792, S. fontinalis Hollister, 1911, or S. fumeus Miller, 1895, but without the holotype, its identity cannot be determined definitively, and the name is a nomen dubium.

","language":"English","publisher":"BioOne","doi":"10.2988/18-00007","usgsCitation":"Woodman, N., 2018, Taxonomic evaluation of the three “type” specimens of the fringe-footed shrew, Sorex fimbripes Bachman, 1837 (Mammalia: Soricidae) and recommended nomenclatural status of the name: Proceedings of the Biological Society of Washington, v. 131, no. 1, p. 202-219, https://doi.org/10.2988/18-00007.","productDescription":"18 p.","startPage":"202","endPage":"219","ipdsId":"IP-103138","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468173,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2988/18-00007","text":"Publisher Index Page"},{"id":360832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"131","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":755429,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70204438,"text":"70204438 - 2018 - Confirmation of diving and swimming behavior in the Sora (Porzana carolina)","interactions":[],"lastModifiedDate":"2019-07-26T10:33:33","indexId":"70204438","displayToPublicDate":"2018-12-27T12:46:09","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Confirmation of diving and swimming behavior in the Sora (Porzana carolina)","title":"Confirmation of diving and swimming behavior in the Sora (Porzana carolina)","docAbstract":"

We first observed Sora (Porzana carolina) swimming and diving under water while capturing them with hand nets at night. Since that time, we have observed the behavior several times and documented it with photos and video. Rails are among the most elusive birds. Despite living in wetlands, water depth has often been discussed as a factor limiting habitat use by rails, with the assumption that when water levels are too deep, rails walk on top of floating or emergent vegetation. Here we present new photo and video evidence that confirms previous observations that Sora are adept at swimming and diving in deep water wetland environments, which should alter how we think about their ability to avoid predators and use deeper water habitats.

","language":"English","publisher":"BioOne","doi":"10.1676/17-046.1","usgsCitation":"Krementz, D.G., 2018, Confirmation of diving and swimming behavior in the Sora (Porzana carolina): Wilson Journal of Ornithology, v. 130, no. 3, p. 778-780, https://doi.org/10.1676/17-046.1.","productDescription":"3 p.","startPage":"778","endPage":"780","ipdsId":"IP-083346","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":365950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Krementz, David G. 0000-0002-5661-4541 dkrementz@usgs.gov","orcid":"https://orcid.org/0000-0002-5661-4541","contributorId":2827,"corporation":false,"usgs":true,"family":"Krementz","given":"David","email":"dkrementz@usgs.gov","middleInitial":"G.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":766910,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70203067,"text":"70203067 - 2018 - Remote sensing of river bathymetry: Evaluating a range of sensors, platforms, and algorithms on the upper Sacramento River, California, USA","interactions":[],"lastModifiedDate":"2019-04-17T08:47:50","indexId":"70203067","displayToPublicDate":"2018-12-27T08:47:08","publicationYear":"2018","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":"Remote sensing of river bathymetry: Evaluating a range of sensors, platforms, and algorithms on the upper Sacramento River, California, USA","docAbstract":"Remote sensing has become an increasingly viable tool for characterizing fluvial systems. In this study, we used field measurements from a 1.6 km reach of the upper Sacramento River, CA, to evaluate the potential of mapping water depths from a range of platforms, sensors, and depth retrieval methods. Field measurements of water column optical properties also were compared to similar data sets from other rivers to provide context for our results. We considered field spectra, a multispectral satellite image, hyperspectral data collected from conventional and unmanned aircraft, and a bathymetric LiDAR and applied a generalized version of Optimal Band Ratio Analysis (OBRA) and the K nearest neighbors regression (KNN) machine learning algorithm. Linear, quadratic, exponential, power, and lowess OBRA models enabled more flexible curve-fitting in calibrating spectrally based quantities to depth; an exponential formulation avoided artifacts associated with other model types. KNN increased observed vs. predicted R2 values, particularly for the satellite image; we also found that pre-processing of satellite images was unnecessary and that a basic data product could be used for depth retrieval. Bathymetric LiDAR was highly accurate and precise in shallow water, but a lack of bottom returns from areas greater than 2 m deep resulted in large gaps in coverage. The maximum detectable depth imposes an important constraint on fluvial remote sensing and a hybrid approach combined with field surveys of deep areas might be a more realistic operational strategy for bathymetric mapping. Future work will focus on scaling up from short reaches to long river segments.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018WR023586","usgsCitation":"Legleiter, C.J., and Harrison, L.R., 2018, Remote sensing of river bathymetry: Evaluating a range of sensors, platforms, and algorithms on the upper Sacramento River, California, USA: Water Resources Research, v. 55, no. 3, p. 2142-2169, https://doi.org/10.1029/2018WR023586.","productDescription":"18 p.","startPage":"2142","endPage":"2169","ipdsId":"IP-098349","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":468174,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/53803","text":"External Repository"},{"id":437640,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Q52NZ1","text":"USGS data release","linkHelpText":"Remotely sensed data and field measurements used for bathymetric mapping of the upper Sacramento River in northern California"},{"id":362993,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.38254547119139,\n 40.514973694087224\n ],\n [\n -125.33911514282225,\n 40.514973694087224\n ],\n [\n -125.33911514282225,\n 45.56858905146872\n ],\n [\n -120.38254547119139,\n 45.56858905146872\n ],\n [\n -120.38254547119139,\n 40.514973694087224\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"55","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":761023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harrison, Lee R.","contributorId":174322,"corporation":false,"usgs":false,"family":"Harrison","given":"Lee","email":"","middleInitial":"R.","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":761024,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70227071,"text":"70227071 - 2018 - Bat activity following repeated prescribed fire in the central Appalachians, USA","interactions":[],"lastModifiedDate":"2021-12-29T14:33:15.523499","indexId":"70227071","displayToPublicDate":"2018-12-27T08:24:34","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Bat activity following repeated prescribed fire in the central Appalachians, USA","docAbstract":"

Background

To restore and manage fire-adapted forest communities in the central Appalachians, USA, land managers are now increasingly prioritizing use of prescribed fire. However, it is unclear how the reintroduction of fire following decades of suppression will affect bat communities, particularly where white-nose syndrome-related population declines of many cave-hibernating bat species have occurred. To address this concern, we monitored and compared bat activity in burned and unburned habitat across a temporal gradient in western Virginia.

Results

We found evidence for slightly positive fire effects on activity levels of the northern long-eared bat (Myotis septentrionalis [Trouessart, 1897]), Indiana bat (Myotis sodalis [Miller and Allen, 1928]), little brown bat (Myotis lucifugus [Le Conte, 1831]), big brown bat (Eptesicus fuscus [Palisot de Beauvois, 1796])/silver-haired bat (Lasionycteris noctivagans [Le Conte, 1831]) group, all high-frequency bats, and all bat species combined. We observed temporal effects only for the big brown bat, with a negative relationship between activity and time since fire.

Conclusion

Because response of bat activity was neutral to weakly positive relative to burned forest condition, our results suggest that bats are not a resource that would impede the use of this management tool in the central Appalachians.

","language":"English","publisher":"Springer","doi":"10.1186/s42408-018-0009-5","usgsCitation":"Austin, L., Silvis, A., Muthersbaugh, M., Powers, K., and Ford, W., 2018, Bat activity following repeated prescribed fire in the central Appalachians, USA: Fire Ecology, v. 14, 10, 11 p., https://doi.org/10.1186/s42408-018-0009-5.","productDescription":"10, 11 p.","ipdsId":"IP-096158","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468175,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-018-0009-5","text":"Publisher Index Page"},{"id":393574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","county":"Bath County","otherGeospatial":"George Washington National Forest, Warm Springs Mountain Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.83283996582031,\n 38.065932950547484\n ],\n [\n -79.76932525634766,\n 38.102414161775556\n ],\n [\n -79.7449493408203,\n 38.148327566505074\n ],\n [\n -79.7109603881836,\n 38.23170796744926\n ],\n [\n -79.7607421875,\n 38.26082811638795\n ],\n [\n -79.78889465332031,\n 38.24734801619305\n ],\n [\n -79.837646484375,\n 38.20095737801023\n ],\n [\n -79.89944458007812,\n 38.11727165830543\n ],\n [\n -79.9200439453125,\n 38.07998712800633\n ],\n [\n -79.96467590332031,\n 38.023754217706944\n ],\n [\n -79.925537109375,\n 38.00049145082287\n ],\n [\n -79.83283996582031,\n 38.065932950547484\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","noUsgsAuthors":false,"publicationDate":"2018-12-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Austin, Lauren V.","contributorId":270509,"corporation":false,"usgs":false,"family":"Austin","given":"Lauren V.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":829514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Silvis, Alexander","contributorId":270510,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","affiliations":[{"id":54472,"text":"RES Inc.","active":true,"usgs":false}],"preferred":false,"id":829515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muthersbaugh, Michael S.","contributorId":270511,"corporation":false,"usgs":false,"family":"Muthersbaugh","given":"Michael S.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":829516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powers, Karen E.","contributorId":270512,"corporation":false,"usgs":false,"family":"Powers","given":"Karen E.","affiliations":[{"id":34752,"text":"Radford University","active":true,"usgs":false}],"preferred":false,"id":829517,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":829513,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203296,"text":"70203296 - 2018 - Extreme‐value geoelectric amplitude and polarization across the northeast United States","interactions":[],"lastModifiedDate":"2019-05-02T09:06:48","indexId":"70203296","displayToPublicDate":"2018-12-26T06:55:46","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Extreme‐value geoelectric amplitude and polarization across the northeast United States","docAbstract":"

Maps are presented of extreme‐value geoelectric field amplitude and horizontal polarization for the Northeast United States. These maps are derived from geoelectric time series calculated for sites across the Northeast by frequency‐domain multiplication (time‐domain convolution) of 172 magnetotelluric impedance tensors, acquired during a survey, with decades‐long, 1‐min resolution time series of geomagnetic variation, acquired at three magnetic observatories. The maps show that, during intense magnetic storms, high geoelectric amplitude hazards are realized across electrically resistive, igneous and metamorphic rock of the Appalachian Mountains and the New England Highlands, while low geoelectric hazards are realized across electrically conductive, sedimentary rock of the Appalachian Plateau and the Mid‐Atlantic Coastal Plain. From statistical extrapolation, once‐per‐century (100‐year) geoelectric amplitudes are highest at a site in Virginia at 25.44 V/km (followed by a site in Maine at 21.75 V/km and a site in Connecticut at 19.39 V/km); 100‐year geoelectric amplitude exceeds 10 V/km at 12 sites across the northeast; geoelectric amplitude is lowest at a site in Virginia at 0.05 V/km. Average errors for these values are estimated to be about 38%, or much less than the more than 2 orders of magnitude range seen in geoelectric amplitudes from one survey site to another across the northeast. It is noteworthy that geoelectric fields tend to be most (least) polarized at locations with high (low) geoelectric hazard. Furthermore, geoelectric fields over the Appalachians tend to be polarized southeast‐to‐northwest, or generally in a direction orthogonal to the southwest‐to‐northeast geological strike. Results reported here inform utility companies in projects for evaluating and managing the response of power grid systems to the deleterious effects of geomagnetic disturbance.

","language":"English","publisher":"AGU","doi":"10.1029/2018SW002068","usgsCitation":"Love, J.J., Lucas, G.M., Bedrosian, P.A., and Kelbert, A., 2018, Extreme‐value geoelectric amplitude and polarization across the northeast United States: Space Weather, v. 17, no. 3, p. 379-395, https://doi.org/10.1029/2018SW002068.","productDescription":"17 p.","startPage":"379","endPage":"395","ipdsId":"IP-104670","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":460793,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018sw002068","text":"Publisher Index Page"},{"id":363465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Delaware, Maine, Maryland, Massachusetts, New Jersey, New Hampshire, New York, North Carolina, Ohio, Pennsylvania, Vermont, Virginia, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.38671875,\n 35.10193405724606\n ],\n [\n -70.83984375,\n 35.10193405724606\n ],\n [\n -67.0166015625,\n 45.24395342262324\n ],\n [\n -68.0712890625,\n 48.22467264956519\n ],\n [\n -81.38671875,\n 42.779275360241904\n ],\n [\n -81.38671875,\n 35.10193405724606\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucas, Greg M. 0000-0003-1331-1863","orcid":"https://orcid.org/0000-0003-1331-1863","contributorId":202808,"corporation":false,"usgs":true,"family":"Lucas","given":"Greg","email":"","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":762046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelbert, Anna 0000-0003-4395-398X akelbert@usgs.gov","orcid":"https://orcid.org/0000-0003-4395-398X","contributorId":184053,"corporation":false,"usgs":true,"family":"Kelbert","given":"Anna","email":"akelbert@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762047,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202521,"text":"70202521 - 2018 - Initial dispersal (1986-1987) of the invasive foraminifera Trochammina hadai Uchio in San Francisco Bay, California, USA","interactions":[],"lastModifiedDate":"2019-03-07T10:00:40","indexId":"70202521","displayToPublicDate":"2018-12-22T10:00:33","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2735,"text":"Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Initial dispersal (1986-1987) of the invasive foraminifera Trochammina hadai Uchio in San Francisco Bay, California, USA","docAbstract":"

A time series of three closely-spaced data sets are used to track the early expansion of the invasive Japanese benthic foraminifera Trochammina hadai in the southern portion of San Francisco Bay known as South Bay. The species initially appeared in 1983, comprising only 1.5% of the assemblage in one of four samples that were dominated by the native species Ammonia tepida and Cribroelphidium excavatum (means = 60.2% and 33.8%, respectively). By 1986, census counts and R- andQ-mode cluster analyses document the explosive growth of the invasive as T. hadai now dominates the assemblage (mean = 42.7%;max = 88.7%)with associated declines in abundance of A. tepida (by greater than one-half; mean = 26.8%) and C. excavatum (by greater than one-third; mean = 20.6%). The invasive continued to dominant the assemblage in 1987, spreading even further to the north and south in South Bay, although its average abundance dropped slightly (~2%) as did those of A. tepida (~3%) and C. excavatum (0.4%). A rare increase in abundance of Elphidiella hannai and the appearance of numerous coastalmarine species in the central portion of the bay are thought to be the result of an incursion ofmarine waters into South Bay due to the prevalent drought conditions in 1987. Clearly, the rapid decline in abundance of the formerly dominant species A. tepida and C. excavatum in South Bay from 1983 to 1986 that continued into 1987 suggests the introduction of T. hadai in the bay severely impacted the native population.

","language":"English","publisher":"Micropaleontology Press","usgsCitation":"McGann, M., 2018, Initial dispersal (1986-1987) of the invasive foraminifera Trochammina hadai Uchio in San Francisco Bay, California, USA: Micropaleontology, v. 64, no. 5-6, p. 365-378.","productDescription":"14 p.","startPage":"365","endPage":"378","ipdsId":"IP-084633","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":361823,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":361822,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/micropaleontology/issue-344/article-2085"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.82714843749999,\n 37.36579146999664\n ],\n [\n -121.3604736328125,\n 37.36579146999664\n ],\n [\n -121.3604736328125,\n 38.46864331036051\n ],\n [\n -122.82714843749999,\n 38.46864331036051\n ],\n [\n -122.82714843749999,\n 37.36579146999664\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"64","issue":"5-6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":169540,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","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":758915,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70202519,"text":"70202519 - 2018 - The occurrence of the invasive foraminifera Trochammina hadai Uchio in Flamengo Inlet, Ubatuba, São Paulo State, Brazil","interactions":[],"lastModifiedDate":"2019-03-07T09:52:41","indexId":"70202519","displayToPublicDate":"2018-12-22T09:52:20","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2735,"text":"Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"The occurrence of the invasive foraminifera Trochammina hadai Uchio in Flamengo Inlet, Ubatuba, São Paulo State, Brazil","docAbstract":"

The agglutinated foraminifera Trochammina hadai Uchio (1962), a dominant species in Japan, first appeared as an invasive species in San Francisco Bay, US, in 1983. Trochammina hadai's first appearance in the Brazilian coastal waters of Flamengo Inlet, Ubatuba, Sao Paulo State, is recorded nearly three decades later, in two of thirty-four sediment samples collected in the western portion known as \"Saco do Ribeira\" in 2010. By 2014 and 2015, the species was found alive in 78% of the samples with relative abundance reaching 18%. We suggest this recent colonization was most likely the result of an introduction by anchor mud on commercial fishing boats and recreational vessels or from fishing bait, and the species' proliferation due to its suitability to live in anthropogenically-induced stressed environmental conditions of the inlet that has affected the ecological dominance of this benthic community.

","language":"English","publisher":"Micropaleontology Press","usgsCitation":"Eichler, P.P., McGann, M., Rodrigues, A.R., Mendonca, A., Amorim, A., Bonetti, C., Cordeito de Farias, C., Mello e Sousa, S.H., Vital, H., and Praxedes Gomes, M., 2018, The occurrence of the invasive foraminifera Trochammina hadai Uchio in Flamengo Inlet, Ubatuba, São Paulo State, Brazil: Micropaleontology, v. 64, no. 5-6, p. 391-402.","productDescription":"12 p.","startPage":"391","endPage":"402","ipdsId":"IP-084538","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":361820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":361819,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/micropaleontology/issue-344/article-2087"}],"country":"Brazil","state":"Sao Paulo","volume":"64","issue":"5-6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Eichler, Patricia P. B.","contributorId":214001,"corporation":false,"usgs":false,"family":"Eichler","given":"Patricia","email":"","middleInitial":"P. B.","affiliations":[{"id":38958,"text":"Universidade Federal do Rio Grande do Norte (PPGG) and Universidade do Sul de Santa Catarina (UNISUL)","active":true,"usgs":false}],"preferred":false,"id":758904,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":169540,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","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":758903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodrigues, Andre R.","contributorId":214002,"corporation":false,"usgs":false,"family":"Rodrigues","given":"Andre","email":"","middleInitial":"R.","affiliations":[{"id":38959,"text":"Universidade Federal de Santa Catarina (UFSC)","active":true,"usgs":false}],"preferred":false,"id":758905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mendonca, Alison","contributorId":214003,"corporation":false,"usgs":false,"family":"Mendonca","given":"Alison","email":"","affiliations":[{"id":38960,"text":"Universidade do Sul de Santa Catarina (UNISUL)","active":true,"usgs":false}],"preferred":false,"id":758906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amorim, Audrey","contributorId":214009,"corporation":false,"usgs":false,"family":"Amorim","given":"Audrey","email":"","affiliations":[{"id":38960,"text":"Universidade do Sul de Santa Catarina (UNISUL)","active":true,"usgs":false}],"preferred":false,"id":758912,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bonetti, Carla","contributorId":214004,"corporation":false,"usgs":false,"family":"Bonetti","given":"Carla","email":"","affiliations":[{"id":38959,"text":"Universidade Federal de Santa Catarina (UFSC)","active":true,"usgs":false}],"preferred":false,"id":758907,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cordeito de Farias, Cristiane","contributorId":214026,"corporation":false,"usgs":false,"family":"Cordeito de Farias","given":"Cristiane","email":"","affiliations":[],"preferred":false,"id":758941,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mello e Sousa, Silvia H.","contributorId":214005,"corporation":false,"usgs":false,"family":"Mello e Sousa","given":"Silvia","email":"","middleInitial":"H.","affiliations":[{"id":38961,"text":"Universidade de São Paulo","active":true,"usgs":false}],"preferred":false,"id":758908,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Vital, Helenice","contributorId":214007,"corporation":false,"usgs":false,"family":"Vital","given":"Helenice","email":"","affiliations":[{"id":38962,"text":"Universidade Federal do Rio Grande do Norte (UFRN)","active":true,"usgs":false}],"preferred":false,"id":758910,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Praxedes Gomes, Moab","contributorId":214008,"corporation":false,"usgs":false,"family":"Praxedes Gomes","given":"Moab","email":"","affiliations":[{"id":38962,"text":"Universidade Federal do Rio Grande do Norte (UFRN)","active":true,"usgs":false}],"preferred":false,"id":758911,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70201081,"text":"sim3421 - 2018 - Remote sensing of bush honeysuckle in the Middle Blue River Basin, Kansas City, Missouri, 2016–17","interactions":[],"lastModifiedDate":"2019-01-29T10:41:32","indexId":"sim3421","displayToPublicDate":"2018-12-21T17:22:20","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3421","displayTitle":"Remote Sensing of Bush Honeysuckle in the Middle Blue River Basin, Kansas City, Missouri, 2016–17","title":"Remote sensing of bush honeysuckle in the Middle Blue River Basin, Kansas City, Missouri, 2016–17","docAbstract":"

Amur honeysuckle bush (Lonicera maackii) and Morrow’s honeysuckle (Lonicera morrowii) are two of the most aggressively invasive species to become established throughout areas along the Blue River in metropolitan Kansas City, Missouri. These two large, spreading shrubs (locally referred to as bush honeysuckle in the Kansas City metropolitan area) colonize the understory, crowd out native plants, and may be allelopathic, producing a chemical that restricts growth of native species. Removal efforts have been underway for more than a decade by local conservation groups such as Bridging The Gap and Heartland Conservation Alliance, who are concerned with the loss of native species diversity associated with the spread of bush honeysuckle. Bush honeysuckle produces leaves early in the spring before almost all other vegetation and retains leaves late in the fall after almost all other species have lost their leaves. Appropriately timed imagery can be used during early spring and late fall to map the extent of bush honeysuckle. Using multispectral imagery collected in February 2016 and true color aerial imagery collected in March 2016, a coverage map of bush honeysuckle was made to investigate the extent of bush honeysuckle in a study area along the middle reach of the Blue River in the Kansas City metropolitan area in Jackson County, Missouri. The coverage map was further classified into unlikely, low-, and high-density bush honeysuckle density at a 30-foot cell size. The unlikely density class correctly predicted the absence and approximate density of bush honeysuckle for 86 percent of the field-verification points, the low-density class predicted the presence and approximate density with 73-percent confidence, and the high-density class was predicted with 67-percent confidence.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3421","collaboration":"Prepared in cooperation with the Mid-America Regional Council","usgsCitation":"Ellis, J.T., 2018, Remote sensing of bush honeysuckle in the Middle Blue River Basin, Kansas City, Missouri, 2016–17: U.S. Geological Survey Scientific Investigations Map 3421, 1 sheet, https://doi.org/10.3133/sim3421.","productDescription":"Sheet: 36.0 x 40.0 inches; Data Release","ipdsId":"IP-098036","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":360526,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RY02KM","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Maps and supporting data for the delineation of Bush Honeysuckle by remote sensing in the Middle Blue River Basin, Kansas City, Missouri, 2016–17"},{"id":360525,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3421/sim3421.pdf","text":"Report","size":"3.09 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3421"},{"id":360524,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3421/coverthb.jpg"}],"country":"United States","state":"Missouri","city":"Kansas City","otherGeospatial":"Middle Blue River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.6,\n 38.85\n ],\n [\n -94.4667,\n 38.85\n ],\n [\n -94.4667,\n 39.05\n ],\n [\n -94.6,\n 39.05\n ],\n [\n -94.6,\n 38.85\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Central Midwest Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2018-12-21","noUsgsAuthors":false,"publicationDate":"2018-12-21","publicationStatus":"PW","scienceBaseUri":"5c1e0a2ae4b0708288cb01ed","contributors":{"authors":[{"text":"Ellis, Jarrett T. 0000-0001-9928-1030","orcid":"https://orcid.org/0000-0001-9928-1030","contributorId":210378,"corporation":false,"usgs":true,"family":"Ellis","given":"Jarrett","email":"","middleInitial":"T.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":752336,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70199962,"text":"ds1098 - 2018 - Interior Least Tern sandbar nesting habitat measurements from Landsat Thematic Mapper imagery","interactions":[],"lastModifiedDate":"2019-01-28T10:50:50","indexId":"ds1098","displayToPublicDate":"2018-12-21T17:19:46","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1098","displayTitle":"Interior Least Tern Sandbar Nesting Habitat Measurements from Landsat Thematic Mapper Imagery","title":"Interior Least Tern sandbar nesting habitat measurements from Landsat Thematic Mapper imagery","docAbstract":"

Sandbars of large sand-bedded rivers of the central United States serve important ecological functions to many species, including the endangered Interior Least Tern (Sternula antillarum, ILT). The ILT is a colonial bird that feeds on fish and nests primarily on riverine sandbars during its annual breeding season of around May through July, depending on region. During this time, ILTs require bare sand of sufficient elevation so as not to be inundated between nest initiation and fledging of hatchlings. Partly because of decreases in available sandbar habitat from river channelization and impoundment, ILTs were listed as endangered in 1985.

Sandbars used by ILTs in central United States rivers are highly dynamic and undergo substantive changes across a wide range of temporal and spatial scales. River hydrology is the primary driver of sandbar morphodynamics in these systems. Better characterization of sandbar area with time, accounting for varying flow regimes, allows for a better understanding of landscape-scale ecology for sandbar-dependent species such as the ILT. This work uses remote-sensing techniques to quantify sandbar area that may be used by ILTs at the land-scape scale and how it has changed with time. The assessment of landscape-scale trends in sandbar area with time requires datasets with high temporal resolution and long record periods covering large geographic areas. Evaluation of remotely sensed datasets requires consideration of river stage fluctuations. To make this assessment, we developed land-cover classification datasets within active channel masks using all available images from the Landsat Thematic Mapper series of satellites meeting cloud-free (40 percent or less) and ice-free criteria. Landsat imagery was selected because of its long record period, spatial coverage, and regular reimaging cycle, making it well suited to monitor ILT sandbar habitat with time. We also attributed each scene with discharge or stage using a new database integrating U.S. Geological Survey and U.S. Army Corps of Engineers river data with Landsat metadata. This report documents development of these riverine classification datasets with a focus on applicability to the ILT. This framework may be used to continue monitoring the ILT sandbar nesting habitat or to evaluate other aquatic and terrestrial species whose life cycles are related to sandbars and channel complexity.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1098","collaboration":"Prepared in cooperation with the American Bird Conservancy","usgsCitation":"Bulliner, E.A., Elliott, C.M., Jacobson, R.B., and Lott, C., 2018, Interior Least Tern sandbar nesting habitat measurements from Landsat Thematic Mapper imagery: U.S. Geological Survey Data Series 1098, 32 p., https://doi. org/10.3133/ds1098. ","productDescription":"Report: v, 32 p.; Tables 9–12; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-066937","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":360602,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/1098/ds1098_tables9-12.xlsx","text":"Tables 9–12","size":"28.0 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"Tables 9–12"},{"id":360653,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7CV4GNG","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Interior least tern sandbar nesting habitat measurements from Landsat TM imagery"},{"id":360600,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1098/coverthb.jpg"},{"id":360601,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1098/ds1098.pdf","text":"Report","size":"1.87 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1098"}],"contact":"

Director, Columbia Environmental Research Center
U.S. Geological Survey
4200 New Haven Road
Columbia, MO 65201

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2018-12-21","noUsgsAuthors":false,"publicationDate":"2018-12-21","publicationStatus":"PW","scienceBaseUri":"5c1e0a2ce4b0708288cb01f3","contributors":{"authors":[{"text":"Bulliner, Edward A. 0000-0002-2774-9295 ebulliner@usgs.gov","orcid":"https://orcid.org/0000-0002-2774-9295","contributorId":4983,"corporation":false,"usgs":true,"family":"Bulliner","given":"Edward","email":"ebulliner@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":747495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Caroline M. 0000-0002-9190-7462 celliott@usgs.gov","orcid":"https://orcid.org/0000-0002-9190-7462","contributorId":2380,"corporation":false,"usgs":true,"family":"Elliott","given":"Caroline","email":"celliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":747496,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":747497,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lott, Casey","contributorId":211742,"corporation":false,"usgs":false,"family":"Lott","given":"Casey","affiliations":[],"preferred":false,"id":754765,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202318,"text":"70202318 - 2018 - Post-release breeding of translocated sharp-tailed grouse and an absence of artificial insemination effects","interactions":[],"lastModifiedDate":"2019-02-21T16:53:05","indexId":"70202318","displayToPublicDate":"2018-12-21T16:52:39","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3777,"text":"Wildlife Research","active":true,"publicationSubtype":{"id":10}},"title":"Post-release breeding of translocated sharp-tailed grouse and an absence of artificial insemination effects","docAbstract":"

Context: Translocation has become a widely used method to restore wildlife populations following extirpation. For some species, such as lekking grouse, which breed at traditional mating grounds, reproduction is linked to culturally established geographic locations. Cultural centres are lost upon extirpation, making restoration into otherwise rehabilitated habitats especially challenging. The process by which species with culturally dependent reproduction sometimes become re-established is poorly understood and merits investigation to improve conservation strategies.

Aims: We reintroduced CSTG to vacant habitat in north-central Nevada, USA, from 2013 to 2017, with concordant goals of promoting females to nest and males to lek. We tested the utility of performing artificial insemination (AI) on females before translocation and we conducted paternity analyses to understand male reproduction.

Methods: We monitored females for the effects of AI on nest initiation, nest survival and egg fertility. We used post-hatch extra-embryonic membranes and other tissues to evaluate paternity of chicks produced at the restoration site.

Key results: Artificial insemination had no effect on female survival or nest initiation, and did not fertilise any eggs within nine sampled clutches (n = 102 eggs). Most paternity was attributable to male residents that had survived for ≥1 year at the restoration site before the arrival of translocated females.

Conclusions: Artificial insemination neither aided nor harmed female reproduction. A small number of translocated, resident adult males sired reproduction following female release.

Implications: The presence of resident males at restoration sites may be more likely to result in post-translocation reproduction than is pre-translocation AI. Restoring CSTG to vacant habitat should focus on translocating females into suitable nesting habitat while simultaneously ensuring that reproductively capable males are available within or adjacent to the nesting habitat.

","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WR18094","usgsCitation":"Mathews, S.R., Coates, P.S., Fike, J.A., Schneider, H., Fischer, D., Oyler-McCance, S.J., Lierz, M., and Delehanty, D.J., 2018, Post-release breeding of translocated sharp-tailed grouse and an absence of artificial insemination effects: Wildlife Research, v. 46, no. 1, p. 12-24, https://doi.org/10.1071/WR18094.","productDescription":"13 p.","startPage":"12","endPage":"24","ipdsId":"IP-099247","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":361439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mathews, Steven R. 0000-0002-3165-9460 smathews@usgs.gov","orcid":"https://orcid.org/0000-0002-3165-9460","contributorId":176922,"corporation":false,"usgs":true,"family":"Mathews","given":"Steven","email":"smathews@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":757807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":757806,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fike, Jennifer A. 0000-0001-8797-7823 fikej@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-7823","contributorId":140875,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer","email":"fikej@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":757808,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schneider, Helena","contributorId":213479,"corporation":false,"usgs":false,"family":"Schneider","given":"Helena","email":"","affiliations":[{"id":38764,"text":"Justus Liebig University Giessen","active":true,"usgs":false}],"preferred":false,"id":757809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fischer, Dominik","contributorId":213480,"corporation":false,"usgs":false,"family":"Fischer","given":"Dominik","email":"","affiliations":[{"id":38764,"text":"Justus Liebig University Giessen","active":true,"usgs":false}],"preferred":false,"id":757810,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":757811,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lierz, Michael","contributorId":213482,"corporation":false,"usgs":false,"family":"Lierz","given":"Michael","email":"","affiliations":[{"id":38764,"text":"Justus Liebig University Giessen","active":true,"usgs":false}],"preferred":false,"id":757812,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Delehanty, David J.","contributorId":195584,"corporation":false,"usgs":false,"family":"Delehanty","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":757813,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70200904,"text":"ofr20181179 - 2018 - Digital Shoreline Analysis System (DSAS) version 5.0 user guide","interactions":[],"lastModifiedDate":"2019-01-28T10:45:19","indexId":"ofr20181179","displayToPublicDate":"2018-12-21T13:45:00","publicationYear":"2018","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":"2018-1179","displayTitle":"Digital Shoreline Analysis System (DSAS) Version 5.0 User Guide","title":"Digital Shoreline Analysis System (DSAS) version 5.0 user guide","docAbstract":"

Overview

The Digital Shoreline Analysis System (DSAS) is a freely available software application that works within the Esri Geographic Information System (ArcGIS) software. DSAS computes rate-of-change statistics for a time series of shoreline vector data. DSAS version 5.0 (v5.0) was released in December 2018 and has been tested for compatibility with ArcGIS versions 10.4 and 10.5. It is supported on Windows 7 and Windows 10 operating systems. If you use it, please cite it as follows and make note of the current version:

Himmelstoss, E.A., Farris, A.S., Henderson, R.E., Kratzmann, M.G., Ergul, Ayhan, Zhang, Ouya, Zichichi, J.L., Thieler, E. R., 2018, Digital Shoreline Analysis System (version 5.0): U.S. Geological Survey software release, https://code.usgs.gov/cch/dsas.

This user guide describes the system requirements, installation procedures, and necessary inputs to establish measurement locations with DSAS-generated transects and compute rate-of-change calculations. Although the nomenclature for this software utility is based on use in a coastal environment, the DSAS application could be used to compute rates of change for any boundary-change problem that incorporates a clearly identified feature position at discrete times, such as glacier limits, river banks, or land use/cover boundaries.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181179","collaboration":" ","usgsCitation":"Himmelstoss, E.A., Henderson, R.E., Kratzmann, M.G., and Farris, A.S., 2018, Digital Shoreline Analysis System (DSAS) version 5.0 user guide: U.S. Geological Survey Open-File Report 2018–1179, 110 p., https://doi.org/10.3133/ofr20181179.","productDescription":"Report: xi, 110 p.; Software","ipdsId":"IP-098630","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":360367,"rank":3,"type":{"id":22,"text":"Related Work"},"url":" https://code.usgs.gov/cch/dsas","text":"Digital Shoreline Analysis System (version 5.0) software"},{"id":360366,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1179/ofr20181179.pdf","text":"Report","size":"35.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1179"},{"id":360365,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1179/coverthb.jpg"},{"id":360368,"rank":4,"type":{"id":18,"text":"Project Site"},"url":"https://woodshole.er.usgs.gov/project-pages/DSAS/","text":"Digital Shoreline Analysis System","linkFileType":{"id":5,"text":"html"}}],"contact":"

Director, Woods Hole Coastal and Marine Science Center
U.S. Geological Survey
384 Woods Hole Road
Quissett Campus
Woods Hole, MA 02543

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2018-12-21","noUsgsAuthors":false,"publicationDate":"2018-12-21","publicationStatus":"PW","scienceBaseUri":"5c1e0a2de4b0708288cb01f9","contributors":{"authors":[{"text":"Himmelstoss, Emily A. 0000-0002-1760-5474 ehimmelstoss@usgs.gov","orcid":"https://orcid.org/0000-0002-1760-5474","contributorId":194838,"corporation":false,"usgs":true,"family":"Himmelstoss","given":"Emily","email":"ehimmelstoss@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henderson, Rachel E. 0000-0001-5810-7941 rehenderson@contractor.usgs.gov","orcid":"https://orcid.org/0000-0001-5810-7941","contributorId":196870,"corporation":false,"usgs":true,"family":"Henderson","given":"Rachel","email":"rehenderson@contractor.usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kratzmann, Meredith G. 0000-0002-2513-2144 mkratzmann@usgs.gov","orcid":"https://orcid.org/0000-0002-2513-2144","contributorId":194839,"corporation":false,"usgs":true,"family":"Kratzmann","given":"Meredith G.","email":"mkratzmann@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751211,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farris, Amy S. 0000-0002-4668-7261 afarris@usgs.gov","orcid":"https://orcid.org/0000-0002-4668-7261","contributorId":196866,"corporation":false,"usgs":true,"family":"Farris","given":"Amy","email":"afarris@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751212,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201705,"text":"ofr20181191 - 2018 - Geologic map and database of the Chocolate Mountain Aerial Gunnery Range, Riverside and Imperial Counties, California","interactions":[],"lastModifiedDate":"2022-04-19T20:07:05.804482","indexId":"ofr20181191","displayToPublicDate":"2018-12-21T13:13:26","publicationYear":"2018","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":"2018-1191","displayTitle":"Geologic Map and Database of the Chocolate Mountain Aerial Gunnery Range, Riverside and Imperial Counties, California","title":"Geologic map and database of the Chocolate Mountain Aerial Gunnery Range, Riverside and Imperial Counties, California","docAbstract":"

The northwest-trending Chocolate Mountains are situated along the northeastern margin of the southern Salton Trough. The Chocolate Mountain Aerial Gunnery Range occupies most of the 75-km-long part of the Chocolate Mountains that lies between Salt Creek to the north and California State Highway 78 to the south. Mapping studies in the Chocolate Mountains within the gunnery range are few and this study was conducted in cooperation with the U.S. Navy (Naval Facilities Engineering Command Southwest, San Diego, California) and U.S. Marine Corps (Range Management Department, Marine Corps Air Station, Yuma, Arizona).

Crystalline basement rocks in the Chocolate Mountains range in age from early Proterozoic to middle Cenozoic. Early and middle Proterozoic metamorphosed sedimentary and plutonic rocks include sillimanite-biotite-quartz feldspar gneiss, layered biotite-quartz-feldspar gneiss, biotite-quartz-feldspar augen gneiss, and largely undeformed late Proterozoic anorthosite and syenite. These rock types, which crop out as dispersed domains in the Chocolate Mountains, are remnants—along with more extensive domains observed in the Eastern Transverse Ranges to the north and in the San Gabriel Mountains to the northwest—of an originally more continuous assemblage that has been dextrally displaced along strands of the San Andreas Fault System.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181191","collaboration":"Prepared in cooperation with the U.S. Navy and U.S. Marine Corps","usgsCitation":"Powell, R.E., Fleck, R.J., and Cossette, P.M., 2018, Geologic map and database of the Chocolate Mountain Aerial Gunnery Range, Riverside and Imperial Counties, California: U.S. Geological Survey Open-File Report 2018–1191, 2 sheets, scale 1:100,000, https://doi.org/10.3133/ofr20181191.","productDescription":"2 Sheets: 41.00 x 36.34 inches and 44.00 x 40.00 inches; Database; Metadata","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-085554","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":399122,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_108256.htm"},{"id":360700,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2018/1191/ofr20181191_sheet2.pdf","text":"Sheet 2","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2018–1191 Sheet 2"},{"id":360699,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2018/1191/ofr20181191_sheet1.pdf","text":"Sheet 1","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2018–1191 Sheet 1"},{"id":360698,"rank":3,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2018/1191/ofr20181191_metadata.zip","linkFileType":{"id":6,"text":"zip"},"description":"Open-File Report 2018–1191 Metadata"},{"id":360697,"rank":2,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/of/2018/1191/ofr20181191_database.zip","linkFileType":{"id":6,"text":"zip"},"description":"Open-File Report 2018–1191 Database"},{"id":360696,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1191/coverthb.jpg"}],"scale":"100000","country":"United States","state":"California","county":"Imperial County, Riverside County","otherGeospatial":"Chocolate Mountain Aerial Gunnery Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.77,\n 33\n ],\n [\n -114.93,\n 33\n ],\n [\n -114.93,\n 33.5417\n ],\n [\n -115.77,\n 33.5417\n ],\n [\n -115.77,\n 33\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director,
Geology, Minerals, Energy, & Geophysics Science Center
U.S. Geological Survey
University of Arizona
ENRB Bldg, 520 N. Park Ave, Rm 355
Tucson, AZ 85719-5035

","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2018-12-21","noUsgsAuthors":false,"publicationDate":"2018-12-21","publicationStatus":"PW","scienceBaseUri":"5c1e0a2de4b0708288cb01fc","contributors":{"authors":[{"text":"Powell, Robert E. 0000-0001-7682-1655 rpowell@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-1655","contributorId":4210,"corporation":false,"usgs":true,"family":"Powell","given":"Robert","email":"rpowell@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":754928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleck, Robert J. 0000-0002-3149-8249 fleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3149-8249","contributorId":1048,"corporation":false,"usgs":true,"family":"Fleck","given":"Robert","email":"fleck@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":754929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cossette, Pamela M. 0000-0002-9608-6595 pcossette@usgs.gov","orcid":"https://orcid.org/0000-0002-9608-6595","contributorId":1458,"corporation":false,"usgs":true,"family":"Cossette","given":"Pamela","email":"pcossette@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":754930,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201677,"text":"ofr20181195 - 2018 - On the potential duration of the aftershock sequence of the 2018 Anchorage earthquake","interactions":[],"lastModifiedDate":"2019-01-28T10:17:29","indexId":"ofr20181195","displayToPublicDate":"2018-12-21T12:51:58","publicationYear":"2018","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":"2018-1195","displayTitle":"On the Potential Duration of the Aftershock Sequence of the 2018 Anchorage Earthquake","title":"On the potential duration of the aftershock sequence of the 2018 Anchorage earthquake","docAbstract":"

Currently, an aftershock sequence is ongoing in Alaska after the magnitude 7.0 Anchorage earthquake of November 30, 2018. Using two scenarios, determined with observations as of December 14, 2018, this report estimates that it will take between 2.5 years and 3 decades before the rate of aftershocks decays to the rate of earthquakes that were occurring in this area before the magnitude 7.0 mainshock. All of the time estimates have significant uncertainty owing to different scenarios of how the sequence may decrease over time and could also change if a large aftershock occurs. The report also estimates the amount of time after the mainshock until the annual probability of magnitude 5 or greater and 6 or greater aftershocks—which could cause additional damage—decreases to 50, 25, 10, and 5 percent. For instance, the probability of one or more magnitude 6 or greater aftershocks in the following year decreases to 10 percent between 7 and 250 days after the mainshock. The same probability for magnitude 5 or greater earthquakes is reached between 500 and 7,000 days after the mainshock.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181195","usgsCitation":"Michael, A.J., 2018, On the potential duration of the aftershock sequence of the 2018 Anchorage earthquake: U.S. Geological Survey Open-File Report 2018–1195, 6 p., https://doi.org/10.3133/ofr20181195.","productDescription":"Report: ii, 6 p.","numberOfPages":"6","onlineOnly":"Y","ipdsId":"IP-104229","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":360689,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1195/coverthb.jpg"},{"id":360690,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1195/ofr20181195.pdf","text":"Report","size":"300 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-FIle Report 2018-1195"}],"country":"United States","state":"Alaska","city":"Anchorage","contact":"

Contact Information,
Earthquake Science Center
U.S. Geological Survey
345 Middlefield Road, MS 977
Menlo Park, CA 94025

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2018-12-21","noUsgsAuthors":false,"publicationDate":"2018-12-21","publicationStatus":"PW","scienceBaseUri":"5c1e0a2ee4b0708288cb0204","contributors":{"authors":[{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":754838,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70200892,"text":"sir20185156 - 2018 - Updates to the suspended sediment SPARROW model developed for western Oregon and northwestern California","interactions":[],"lastModifiedDate":"2021-10-25T19:46:26.14728","indexId":"sir20185156","displayToPublicDate":"2018-12-21T12:16:50","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5156","displayTitle":"Updates to the Suspended Sediment SPARROW Model Developed for Western Oregon and Northwestern California","title":"Updates to the suspended sediment SPARROW model developed for western Oregon and northwestern California","docAbstract":"

A SPARROW (SPAtially Related Regressions On Watershed attributes) model that was previously developed for western Oregon and northwestern California was updated using advancements in the SPARROW software and refinements to the input data. As was the case for the original model calibration, the updated models used the NHD Plus Version 2 as a hydrologic framework and relied on the same estimates of long-term mean suspended-sediment loads and watershed attributes. The updated calibration results indicated that two different SPARROW models were possible—one model from which sediment sources were represented by local lithology and one from which sediment sources were represented by generalized land-cover classes; precipitation, catchment slope, wildfire disturbance, and sediment loss in impoundments were significantly correlated with suspended-sediment loads in both models. The updated models also included a method to compensate for the bias introduced by using total suspended solids to represent suspended sediment in the calibration dataset—a feature that was not available during the original model calibration. The effect of this feature was an overall increase in estimated suspended-sediment loads. Although the lithology- and the land-cover based models used different landscape properties to describe sediment sources, each could be useful in specific applications. The lithology-based model provides more accurate estimates of suspended-sediment load, but the land-cover based model allows water-quality managers to estimate how much in-stream suspended-sediment load originates in areas with extensive development compared to the load that originates in areas with relatively little human impact.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185156","usgsCitation":"Wise, D.R., 2018, Updates to the suspended sediment SPARROW model developed for western Oregon and northeastern California: U.S. Geological Survey Scientific Investigations Report 2018–5156, 23 p., https://doi.org/10.3133/sir20185156.","productDescription":"Report: v, 23 p.; Appendix; Data Release","onlineOnly":"Y","ipdsId":"IP-093497","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":360706,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XVX2SM","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Predictions from the updated SPARROW suspended sediment models developed for western Oregon and northwestern California"},{"id":360705,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2018/5156/sir20185156_appendix01.xlsx","text":"Appendix 1","size":"34 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2018-5156 Appendix 1"},{"id":360704,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5156/sir20185156.pdf","text":"Report","size":"16.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5156"},{"id":360703,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5156/coverthb.jpg"}],"country":"United States","state":"California, Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.62890625,\n 40\n ],\n [\n -120.5,\n 40\n ],\n [\n -120.5,\n 46.3\n ],\n [\n -124.62890625,\n 46.3\n ],\n [\n -124.62890625,\n 40\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2018-12-21","noUsgsAuthors":false,"publicationDate":"2018-12-21","publicationStatus":"PW","scienceBaseUri":"5c1e0a2ee4b0708288cb0206","contributors":{"authors":[{"text":"Wise, Daniel R. 0000-0002-1215-9612 dawise@usgs.gov","orcid":"https://orcid.org/0000-0002-1215-9612","contributorId":29891,"corporation":false,"usgs":true,"family":"Wise","given":"Daniel","email":"dawise@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":751084,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70201683,"text":"70201683 - 2018 - 2017-2018 Palila abundance estimates and trend","interactions":[],"lastModifiedDate":"2018-12-21T11:29:21","indexId":"70201683","displayToPublicDate":"2018-12-21T11:29:16","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":414,"text":"Technical Report","active":false,"publicationSubtype":{"id":9}},"seriesNumber":"HCSU-086","title":"2017-2018 Palila abundance estimates and trend","docAbstract":"

The palila (Loxioides bailleui) population was surveyed annually from 1998–2018 on Mauna Kea Volcano
to determine abundance, population trend, and spatial distribution. In the latest surveys, the 2017
population was estimated at 1,177−1,813 birds (point estimate: 1,461) and the 2018 population was
estimated at 778−1,420 (point estimate: 1,051). Only two palila were detected outside the core survey
area during a mountain-wide survey in 2017, suggesting that most, if not all, palila inhabit the western
slope during the annual survey period. Since 1998, the size of the area containing palila detections on
the western slope did not show a significant change, suggesting that the range of the species has
remained stable; although this area represents only about 5% of its historical extent. During 1998−2003,
palila numbers fluctuated moderately (coefficient of variation [CV] = 0.20). After peaking in 2003,
population estimates declined steadily through 2011; since 2010, estimates have continued to decline at
a slower rate. The average rate of decline during 1998−2018 was 168 birds per year with very strong
statistical support for an overall declining trend in abundance. Over the 21-year monitoring period, the
estimated rate of change equated to a 76% decline in the population.

","language":"English","publisher":"University of Hawaii at Hilo","usgsCitation":"Genz, A.S., Brinck, K.W., Camp, R.J., and Banko, P.C., 2018, 2017-2018 Palila abundance estimates and trend: Technical Report HCSU-086, ii, 16 p.","productDescription":"ii, 16 p.","ipdsId":"IP-099388","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":360669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360668,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/4431"}],"country":"United States","state":" Hawai`i","otherGeospatial":"Hawai`i Island","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1e0a2fe4b0708288cb020b","contributors":{"authors":[{"text":"Genz, Ayesha S.","contributorId":211777,"corporation":false,"usgs":false,"family":"Genz","given":"Ayesha","email":"","middleInitial":"S.","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":754842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brinck, Kevin W. 0000-0001-7581-2482 kbrinck@usgs.gov","orcid":"https://orcid.org/0000-0001-7581-2482","contributorId":150936,"corporation":false,"usgs":false,"family":"Brinck","given":"Kevin","email":"kbrinck@usgs.gov","middleInitial":"W.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":754843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":754841,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":754844,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197344,"text":"pp1839 - 2018 - The Las Vegas Formation","interactions":[],"lastModifiedDate":"2018-12-21T10:46:55","indexId":"pp1839","displayToPublicDate":"2018-12-20T18:45:00","publicationYear":"2018","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":"1839","title":"The Las Vegas Formation","docAbstract":"

The Las Vegas Formation was established in 1965 to designate the distinctive light-colored, fine-grained, fossil-bearing sedimentary deposits exposed in and around the Las Vegas Valley, Nevada. In a coeval designation, the sediments were subdivided into informal units with stratigraphic and chronologic frameworks that have persisted in the literature. Use of the Las Vegas Formation name over the past half century has been hampered because of the lack of a robust definition and characterization of the entire lithostratigraphic sequence, its geographic distribution, and chronology. This study evaluates and describes deposits attributed to the Las Vegas Formation with detailed stratigraphy, sedimentology, and field relations. A large suite of radiocarbon and luminescence ages facilitates revision and temporal expansion of the geochronology. In all, we characterize 17 informal geologic units within the formation, each dating to a unique period of geologic time, with stratigraphically ascending members X, A, B, D, and E and attendant beds in members B, D, and E. The age of the Las Vegas Formation spans at least the middle Pleistocene to early Holocene (from approximately 573 to 8.53 kilo-annum [thousands of years before present]) and is related to past episodes of groundwater discharge in the Las Vegas Valley. The contextual information derived from this new framework is dually noteworthy because the sediments entomb one of the most significant Pleistocene vertebrate faunas in the American Southwest, the Tule Springs local fauna, and represent a paleohydrologic system that responded dynamically to abrupt changes in climate throughout the late Quaternary. Characterizing the nature of these important deposits stabilizes the nomenclature, promotes the continued use of the informal units within the formation, and facilitates studies of similar deposits associated with desert wetland ecosystems elsewhere in the southwestern United States.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1839","isbn":"978-1-4113-4237-8","usgsCitation":"Springer, K.B., Pigati, J.S., Manker, C.R., and Mahan, S.A., 2018, The Las Vegas Formation: U.S. Geological Survey Professional Paper 1839, 62 p., https://doi.org/10.3133/pp1839.","productDescription":"vii, 62 p.","onlineOnly":"N","ipdsId":"IP-090487","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":360640,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1839/coverthb.jpg"},{"id":360641,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1839/pp1839.pdf","text":"Report","size":"11.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1839"},{"id":360642,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20183038","text":"Fact Sheet 2018-3038—","linkHelpText":"The Geology and Paleontology of Tule Springs Fossil Beds National Monument, Nevada"}],"country":"United States","state":"Nevada","otherGeospatial":"Las Vegas Formation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.9,\n 36\n ],\n [\n -115,\n 36\n ],\n [\n -115,\n 36.6\n ],\n [\n -115.9,\n 36.6\n ],\n [\n -115.9,\n 36\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Geosciences and Environmental Change Science Center
U.S. Geological Survey
Box 25046, MS-980
Denver, CO 80225-0046

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2018-12-20","noUsgsAuthors":false,"publicationDate":"2018-12-20","publicationStatus":"PW","scienceBaseUri":"5c1cb85ae4b0708288c83800","contributors":{"authors":[{"text":"Springer, Kathleen B. 0000-0002-2404-0264 kspringer@usgs.gov","orcid":"https://orcid.org/0000-0002-2404-0264","contributorId":149826,"corporation":false,"usgs":true,"family":"Springer","given":"Kathleen","email":"kspringer@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":736770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":736771,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manker, Craig R. cmanker@usgs.gov","contributorId":149827,"corporation":false,"usgs":true,"family":"Manker","given":"Craig","email":"cmanker@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":736772,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":736773,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197996,"text":"fs20183038 - 2018 - The geology and paleontology of Tule Springs Fossil Beds National Monument, Nevada","interactions":[],"lastModifiedDate":"2018-12-21T10:39:28","indexId":"fs20183038","displayToPublicDate":"2018-12-20T18:45:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3038","title":"The geology and paleontology of Tule Springs Fossil Beds National Monument, Nevada","docAbstract":"

On December 19, 2014, Tule Springs Fossil Beds National Monument, located in the Las Vegas Valley of southern Nevada, was established by Congress as the 405th unit of the National Park Service to “conserve, protect, interpret, and enhance for the benefit of present and future generations the unique and nationally important paleontological, scientific, educational, and recreational resources and values of the land” (P.L. 113-291, sec. 3092). Vertebrate fossils have been known from the region for more than a century, and recent work has established the Tule Springs local fauna as one of the most significant Pleistocene vertebrate faunas in the American Southwest. The sedimentary sequence that entombs the fossils represents a paleohydrologic system that responded dynamically to abrupt changes in climate throughout the late Quaternary. Work in Tule Springs Fossil Beds National Monument continues today through the efforts of scientists from the U.S. Geological Survey, National Park Service, and academic institutions across the country.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183038","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Springer, K.B., Pigati, J.S., and Scott, E., 2018, The geology and paleontology of Tule Springs Fossil Beds National Monument, Nevada: U.S. Geological Survey Fact Sheet 2018–3038, 4 p., https://doi.org/10.3133/fs20183038.","productDescription":"4 p.","onlineOnly":"N","ipdsId":"IP-096234","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":360591,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/pp1839","text":"Professional Paper 1839—","linkHelpText":"The Las Vegas Formation"},{"id":360590,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3038/fs20183038.pdf","text":"Report","size":"5.41 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3038"},{"id":360589,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3038/coverthb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Tule Springs Fossil Beds National Monument","contact":"

Director, Geosciences and Environmental Change Science Center
U.S. Geological Survey
Box 25046, MS-980
Denver, CO 80225-0046

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2018-12-20","noUsgsAuthors":false,"publicationDate":"2018-12-20","publicationStatus":"PW","scienceBaseUri":"5c1cb85ae4b0708288c837fd","contributors":{"authors":[{"text":"Springer, Kathleen B. 0000-0002-2404-0264 kspringer@usgs.gov","orcid":"https://orcid.org/0000-0002-2404-0264","contributorId":149826,"corporation":false,"usgs":true,"family":"Springer","given":"Kathleen","email":"kspringer@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":739531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":739532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, Eric","contributorId":127422,"corporation":false,"usgs":false,"family":"Scott","given":"Eric","email":"","affiliations":[],"preferred":false,"id":739533,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70200775,"text":"ofr20181173 - 2018 - How and why Upper Colorado River Basin land, water, and fire managers choose to use drought tools (or not)","interactions":[],"lastModifiedDate":"2018-12-20T16:36:58","indexId":"ofr20181173","displayToPublicDate":"2018-12-20T16:20:05","publicationYear":"2018","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":"2018-1173","title":"How and why Upper Colorado River Basin land, water, and fire managers choose to use drought tools (or not)","docAbstract":"

On the Western Slope of Colorado, variable climate and precipitation conditions are typical. Periods of drought—which may be defined by lack of water, high temperatures, low soil moisture, or other indicators—cause a range of impacts across sectors, including water, land, and fire management.

The Western Slope’s Upper Colorado River Basin (UCRB) was one of the first pilot areas in which the National Integrated Drought Information System (NIDIS) implemented a drought early warning system (DEWS) in 2009. NIDIS presently supports eight regional DEWS; as of 2016, the UCRB DEWS has been incorporated into an expanded Intermountain West (IMW) DEWS. The selection of the UCRB for an initial DEWS reflects the regional importance of drought information for managing water supply for agriculture and other uses, and the need for effective decision support related to drought. Additionally, new drought information products were developed specifically for the UCRB DEWS, and a number of others have been created since 2009, adding to the preexisting toolkit for drought decision making.

The various elements of the UCRB drought early warning system can be expected to be more or less suitable for the needs of different decision makers. As a result, the UCRB makes an ideal case study to examine the use of scientific information products and tools in which the broad decision context (managing drought) is defined, but information needs of current and prospective users vary. Thus decision makers will make varied choices about which of the available tools to use or not use, depending on the particular management and institutional context in which they work. This report investigates the factors that affect the choices of decision makers about whether and how to use particular information sources, products, and tools. The investigation focused on the following research questions:

Studies of decision support tools or information sources often concentrate on the known users of a given tool(s). Such an approach can yield useful information; it provides rich insight into the experiences of users and can suggest design modifications to make existing tools more effective. Yet it is not an effective approach to capture the perspectives and needs of prospective tool users or to investigate the factors that affect whether or not someone chooses to use tools in the first place. To overcome this challenge, in this study the author instead used a geographically based sampling strategy in which a range of natural resource managers from preidentified Federal management units and selected State agencies on the Western Slope were considered prospective users of tools. Prospective users were then asked to describe in an open-ended fashion what information and tools they do or do not use and why. This approach allowed for respondents to report both use and nonuse of tools, and thus the ability to identify factors that influence information and tool use choices by managers.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181173","usgsCitation":"Cravens, A.E., 2018, How and why Upper Colorado River Basin land, water, and fire managers choose to use drought tools (or not): U.S. Geological Survey Open-File Report 2018–1173, 60 p., https://doi.org/10.3133/ofr20181173.","productDescription":"vi, 60 p.","onlineOnly":"Y","ipdsId":"IP-091495","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":360635,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1173/ofr20181173.pdf","text":"Report","size":"2.15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1173"},{"id":360592,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1173/coverthb.jpg"}],"contact":"

Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Building C
Fort Collins, CO 80526-8118

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