Our understanding of deglacial climate history in the southern Great Lakes region of the United States is primarily based upon fossil pollen data, with few independent and multi-proxy climate reconstructions. Here we introduce a new, well-dated fossil pollen record from Stotzel-Leis, OH, and a new deglacial temperature record based on branched glycerol dialkyl glycerol tetraethers (brGDGTs) at Silver Lake, OH. We compare these new data to previously published records and to a regional stack of pollen-based temperature reconstructions from Stotzel-Leis, Silver Lake, and three other well-dated sites. The new and previously published pollen records at Stotzel-Leis are similar, but our new age model brings vegetation events into closer alignment with known climatic events such as the Younger Dryas (YD). brGDGT-inferred temperatures correlate strongly with pollen-based regional temperature reconstructions, with the strongest correlation obtained for a global soil-based brGDGT calibration (r2 = 0.88), lending confidence to the deglacial reconstructions and the use of brGDGT and regional pollen stacks as paleotemperature proxies in eastern North America. However, individual pollen records show large differences in timing, rates, and amplitudes of inferred temperature change, indicating caution with paleoclimatic inferences based on single-site pollen records. From 16.0 to 10.0ka, both proxies indicate that regional temperatures rose by ∼10 °C, roughly double the ∼5 °C estimates for the Northern Hemisphere reported in prior syntheses. Change-point analysis of the pollen stack shows accelerated warming at 14.0 ± 1.2ka, cooling at 12.6 ± 0.4ka, and warming from 11.6 ± 0.5ka into the Holocene. The timing of Bølling-Allerød (B-A) warming and YD onset in our records lag by ∼300–500 years those reported in syntheses of temperature records from the northern mid-latitudes. This discrepancy is too large to be attributed to uncertainties in radiocarbon dating, and correlation between pollen and brGDGT temperature reconstructions rules out vegetation lags as a cause. However, the YD termination appears synchronous among the brGDGT record, regional pollen stack, and Northern Hemisphere stack. The cause of the larger and lagged temperature changes in the southern Great Lakes relative to Northern Hemisphere averages remains unclear, but may be due to the effects of continentality and ice sheet extent on regional climate evolution.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2017.12.011","usgsCitation":"Watson, B.I., Williams, J.W., Russell, J.M., Jackson, S.T., Shane, L., and Lowell, T.V., 2018, Temperature variations in the southern Great Lakes during the last deglaciation: Comparison between pollen and GDGT proxies: Quaternary Science Reviews, v. 182, p. 78-92, https://doi.org/10.1016/j.quascirev.2017.12.011.","productDescription":"15 p.","startPage":"78","endPage":"92","ipdsId":"IP-088633","costCenters":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":468997,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2017.12.011","text":"Publisher Index Page"},{"id":352887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"182","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee72de4b0da30c1bfc180","contributors":{"authors":[{"text":"Watson, Benjamin I.","contributorId":203629,"corporation":false,"usgs":false,"family":"Watson","given":"Benjamin","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":731980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, John W.","contributorId":16761,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":731981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Russell, James M.","contributorId":174740,"corporation":false,"usgs":false,"family":"Russell","given":"James","email":"","middleInitial":"M.","affiliations":[{"id":27506,"text":"Department of Earth, Environmental and Planetary Sciences, Brown University, Providence RI 02912 USA","active":true,"usgs":false}],"preferred":false,"id":731982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Stephen T. 0000-0002-1487-4652 stjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":344,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","email":"stjackson@usgs.gov","middleInitial":"T.","affiliations":[{"id":560,"text":"South Central Climate Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":731921,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shane, Linda","contributorId":203630,"corporation":false,"usgs":false,"family":"Shane","given":"Linda","email":"","affiliations":[],"preferred":false,"id":731983,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lowell, Thomas V.","contributorId":203631,"corporation":false,"usgs":false,"family":"Lowell","given":"Thomas","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":731984,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195041,"text":"ofr20181017 - 2018 - Greater sage-grouse science (2015–17)—Synthesis and potential management implications","interactions":[],"lastModifiedDate":"2020-10-01T04:26:52.841583","indexId":"ofr20181017","displayToPublicDate":"2018-02-15T00:00:00","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":"2018-1017","title":"Greater sage-grouse science (2015–17)—Synthesis and potential management implications","docAbstract":"The greater sage-grouse (Centrocercus urophasianus; hereafter called “sage-grouse”), a species that requires sagebrush (Artemisia spp.), has experienced range-wide declines in its distribution and abundance. These declines have prompted substantial research and management investments to improve the understanding of sage-grouse and its habitats and reverse declines in distribution and population numbers.
Over the past two decades, the U.S. Fish and Wildlife Service (USFWS) has responded to eight petitions to list the sage-grouse under the Endangered Species Act of 1973, with the completion of the most recent listing determination in September 2015. At that time, the USFWS determined that the sage-grouse did not warrant a listing, primarily because of the large scale science-based conservation and planning efforts completed or started by Federal, State, local agencies, private landowners, and other entities across the range. The planning efforts culminated in the development of the 2015 Bureau of Land Management (BLM) and U.S. Forest Service Land Use Plan Amendments, which provided regulatory certainty and commitment from Federal land-management agencies to limit, mitigate, and track anthropogenic disturbance and implement other sage-grouse conservation measures.
After these policy decisions, the scientific community has continued to refine and expand the knowledge available to inform implementation of management actions, increase the efficiency and effectiveness of those actions, and continue developing an overall understanding of sage-grouse populations, habitat requirements, and their response to human activity and other habitat changes. The development of science has been driven by multiple prioritization documents including the “Greater Sage-Grouse National Research Strategy” (Hanser and Manier, 2013) and, most recently, the “Integrated Rangeland Fire Management Strategy Actionable Science Plan” (Integrated Rangeland Fire Management Strategy Actionable Science Plan Team, 2016).
In October 2017, after a review of the 2015 Federal plans relative to State sage-grouse plans, in accordance with Secretarial Order 3353, the BLM issued a notice of intent to consider whether to amend some, all, or none of the 2015 land use plans. At that time, the BLM requested the U.S. Geological Survey (USGS) to inform this effort through the development of an annotated bibliography of sage-grouse science published since January 2015 and a report that synthesized and outlined the potential management implications of this new science. Development of the annotated bibliography resulted in the identification and summarization of 169 peer-reviewed scientific publications and reports. The USGS then convened an interagency team (hereafter referred to as the “team”) to develop this report that focuses on the primary topics of importance to the ongoing management of sage-grouse and their habitats.
The team developed this report in a three-step process. First, the team identified six primary topic areas for discussion based on the members’ collective knowledge regarding sage-grouse, their habitats, and threats to either or both. Second, the team reviewed all the material in the “Annotated Bibliography of Scientific Research on Greater Sage-Grouse Published since January 2015” to identify the science that addressed the topics. Third, team members discussed the science related to each topic, evaluated the consistency of the science with existing knowledge before 2015, and summarized the potential management implications of this science. The six primary topics identified by the team were:
Sage-Grouse and Sagebrush Ecosystem Program
U.S. Geological Survey
12201 Sunrise Valley Dr.
Mail Stop 301
Reston, VA 20192
Egg turning behavior is an important determinant of egg hatchability, but it remains relatively understudied. Here, we examined egg turning rates and egg temperatures in Forster’s terns (Sterna forsteri). We used artificial eggs containing a data logger with a 3-D accelerometer, a magnetometer, and a temperature thermistor to monitor parental incubation behavior of 131 tern nests. Overall, adults turned their eggs an average (±SD) of 3.8 ± 0.8 turns h-1, which is nearly two times higher than that of other seabirds. Egg turning rates increased with nest initiation date. We also examined egg turning rates and egg temperatures in relation to egg mercury contamination. Mercury contamination has been shown to be associated with reduced egg hatchability, and we hypothesized that mercury may decrease egg hatchability via altered egg turning behavior by parents. Despite the high variability in egg turning rates among individuals, the rate of egg turning was not related to mercury concentrations in sibling eggs. These findings highlight the need for further study concerning the potential determinants of egg turning behavior.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0191390","usgsCitation":"Taylor, G.T., Ackerman, J., and Shaffer, S.A., 2018, Egg turning behavior and incubation temperature in Forster’s terns in relation to mercury contamination: PLoS ONE, v. 13, no. 2, p. 1-16, https://doi.org/10.1371/journal.pone.0191390.","productDescription":"e0191390; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-083523","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468995,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0191390","text":"Publisher Index Page"},{"id":352163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-15","publicationStatus":"PW","scienceBaseUri":"5afee72ee4b0da30c1bfc184","contributors":{"authors":[{"text":"Taylor, Gregory T.","contributorId":202849,"corporation":false,"usgs":false,"family":"Taylor","given":"Gregory","email":"","middleInitial":"T.","affiliations":[{"id":24620,"text":"San Jose State University","active":true,"usgs":false}],"preferred":false,"id":729899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":729898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shaffer, Scott A. 0000-0002-7751-5059","orcid":"https://orcid.org/0000-0002-7751-5059","contributorId":202761,"corporation":false,"usgs":false,"family":"Shaffer","given":"Scott","email":"","middleInitial":"A.","affiliations":[{"id":24620,"text":"San Jose State University","active":true,"usgs":false}],"preferred":false,"id":729900,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195431,"text":"70195431 - 2018 - Consortial brown tide − picocyanobacteria blooms in Guantánamo Bay, Cuba","interactions":[],"lastModifiedDate":"2018-02-15T10:12:49","indexId":"70195431","displayToPublicDate":"2018-02-15T00:00:00","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}},"title":"Consortial brown tide − picocyanobacteria blooms in Guantánamo Bay, Cuba","docAbstract":"A brown tide bloom of Aureoumbra lagunensis developed in Guantánamo Bay, Cuba during a period of drought in 2013 that followed heavy winds and rainfall from Hurricane Sandy in late October 2012. Based on satellite images and water turbidity measurements, the bloom appeared to initiate in January 2013. The causative species (A. lagunensis) was confirmed by microscopic observation, and pigment and genetic analyses of bloom samples collected on May 28 of that year. During that time, A. lagunensis reached concentrations of 900,000 cells ml−1 (28 ppm by biovolume) in the middle portion of the Bay. Samples could not be collected from the northern (Cuban) half of the Bay because of political considerations. Subsequent sampling of the southern half of the Bay in November 2013, April 2014, and October 2014 showed persistent lower concentrations of A. lagunensis, with dominance shifting to the cyanobacterium Synechococcus (up to 33 ppm in April), an algal group that comprised a minor bloom component on May 28. Thus, unlike the brown tide bloom in Laguna Madre, which lasted 8 years, the bloom in Guantánamo Bay was short-lived, much like recent blooms in the Indian River, Florida. Although hypersaline conditions have been linked to brown tide development in the lagoons of Texas and Florida, observed euhaline conditions in Guantánamo Bay (salinity 35–36) indicate that strong hypersalinity is not a requirement for A. lagunensis bloom formation. Microzooplankton biomass dominated by ciliates was high during the observed peak of the brown tide, and ciliate abundance was high compared to other systems not impacted by brown tide. Preferential grazing by zooplankton on non-brown tide species, as shown in A. lagunensis blooms in Texas and Florida, may have been a factor in the development of the Cuban brown tide bloom. However, subsequent selection of microzooplankton capable of utilizing A. lagunensis as a primary food source may have contributed to the short-lived duration of the brown tide bloom in Guantánamo Bay.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2018.01.003","usgsCitation":"Hall, N.S., Litaker, R.W., Kenworthy, W.J., Vandersea, M.W., Sunda, W.G., Reid, J.P., Slone, D., and Butler, S.M., 2018, Consortial brown tide − picocyanobacteria blooms in Guantánamo Bay, Cuba: Harmful Algae, v. 73, p. 30-43, https://doi.org/10.1016/j.hal.2018.01.003.","productDescription":"14 p.","startPage":"30","endPage":"43","ipdsId":"IP-086188","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468996,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.hal.2018.01.003","text":"Publisher Index Page"},{"id":351644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Cuba","otherGeospatial":"Guantánamo Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.234375,\n 19.883620357758062\n ],\n [\n -75.0918960571289,\n 19.883620357758062\n ],\n [\n -75.0918960571289,\n 19.973348786110602\n ],\n [\n -75.234375,\n 19.973348786110602\n ],\n [\n -75.234375,\n 19.883620357758062\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"73","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee72ee4b0da30c1bfc186","contributors":{"authors":[{"text":"Hall, Nathan S","contributorId":202494,"corporation":false,"usgs":false,"family":"Hall","given":"Nathan","email":"","middleInitial":"S","affiliations":[{"id":36459,"text":"University of North Carolina at Chapel Hill, Institute of Marine Sciences","active":true,"usgs":false}],"preferred":false,"id":728570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Litaker, R. Wayne","contributorId":202495,"corporation":false,"usgs":false,"family":"Litaker","given":"R.","email":"","middleInitial":"Wayne","affiliations":[{"id":36460,"text":"National Oceanic and Atmospheric Administration, National Ocean Service","active":true,"usgs":false}],"preferred":false,"id":728571,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kenworthy, W. Judson","contributorId":202496,"corporation":false,"usgs":false,"family":"Kenworthy","given":"W.","email":"","middleInitial":"Judson","affiliations":[{"id":36461,"text":"109 Holly Lane, Beaufort, NC","active":true,"usgs":false}],"preferred":false,"id":728572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vandersea, Mark W.","contributorId":202497,"corporation":false,"usgs":false,"family":"Vandersea","given":"Mark","email":"","middleInitial":"W.","affiliations":[{"id":36460,"text":"National Oceanic and Atmospheric Administration, National Ocean Service","active":true,"usgs":false}],"preferred":false,"id":728573,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sunda, William G.","contributorId":202498,"corporation":false,"usgs":false,"family":"Sunda","given":"William","email":"","middleInitial":"G.","affiliations":[{"id":36460,"text":"National Oceanic and Atmospheric Administration, National Ocean Service","active":true,"usgs":false}],"preferred":false,"id":728574,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reid, James P. 0000-0002-8497-1132 jreid@usgs.gov","orcid":"https://orcid.org/0000-0002-8497-1132","contributorId":3460,"corporation":false,"usgs":true,"family":"Reid","given":"James","email":"jreid@usgs.gov","middleInitial":"P.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":728575,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Slone, Daniel H. 0000-0002-9903-9727 dslone@usgs.gov","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":173308,"corporation":false,"usgs":true,"family":"Slone","given":"Daniel H.","email":"dslone@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":728569,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Butler, Susan M. 0000-0003-3676-9332 sbutler@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-9332","contributorId":195796,"corporation":false,"usgs":true,"family":"Butler","given":"Susan","email":"sbutler@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":728576,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70195806,"text":"70195806 - 2018 - Modelling surface-water depression storage in a Prairie Pothole Region","interactions":[],"lastModifiedDate":"2018-03-02T11:12:22","indexId":"70195806","displayToPublicDate":"2018-02-15T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Modelling surface-water depression storage in a Prairie Pothole Region","docAbstract":"In this study, the Precipitation-Runoff Modelling System (PRMS) was used to simulate changes in surface-water depression storage in the 1,126-km2 Upper Pipestem Creek basin located within the Prairie Pothole Region of North Dakota, USA. The Prairie Pothole Region is characterized by millions of small water bodies (or surface-water depressions) that provide numerous ecosystem services and are considered an important contribution to the hydrologic cycle. The Upper Pipestem PRMS model was extracted from the U.S. Geological Survey's (USGS) National Hydrologic Model (NHM), developed to support consistent hydrologic modelling across the conterminous United States. The Geospatial Fabric database, created for the USGS NHM, contains hydrologic model parameter values derived from datasets that characterize the physical features of the entire conterminous United States for 109,951 hydrologic response units. Each hydrologic response unit in the Geospatial Fabric was parameterized using aggregated surface-water depression area derived from the National Hydrography Dataset Plus, an integrated suite of application-ready geospatial datasets. This paper presents a calibration strategy for the Upper Pipestem PRMS model that uses normalized lake elevation measurements to calibrate the parameters influencing simulated fractional surface-water depression storage. Results indicate that inclusion of measurements that give an indication of the change in surface-water depression storage in the calibration procedure resulted in accurate changes in surface-water depression storage in the water balance. Regionalized parameterization of the USGS NHM will require a proxy for change in surface-storage to accurately parameterize surface-water depression storage within the USGS NHM.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.11416","usgsCitation":"Hay, L.E., Norton, P.A., Viger, R.J., Markstrom, S.L., Regan, R.S., and Vanderhoof, M.K., 2018, Modelling surface-water depression storage in a Prairie Pothole Region: Hydrological Processes, v. 32, no. 4, p. 462-479, https://doi.org/10.1002/hyp.11416.","productDescription":"18 p.","startPage":"462","endPage":"479","ipdsId":"IP-080013","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":352175,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","otherGeospatial":"Upper Pipestem Creek basin","volume":"32","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-08","publicationStatus":"PW","scienceBaseUri":"5afee72de4b0da30c1bfc182","contributors":{"authors":[{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":729974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norton, Parker A. 0000-0002-4638-2601 pnorton@usgs.gov","orcid":"https://orcid.org/0000-0002-4638-2601","contributorId":2257,"corporation":false,"usgs":true,"family":"Norton","given":"Parker","email":"pnorton@usgs.gov","middleInitial":"A.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Viger, Roland J. 0000-0003-2520-714X rviger@usgs.gov","orcid":"https://orcid.org/0000-0003-2520-714X","contributorId":168799,"corporation":false,"usgs":true,"family":"Viger","given":"Roland","email":"rviger@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":729976,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":146553,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven","email":"markstro@usgs.gov","middleInitial":"L.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":729977,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Regan, R. Steve 0000-0003-4803-8596 rsregan@usgs.gov","orcid":"https://orcid.org/0000-0003-4803-8596","contributorId":196973,"corporation":false,"usgs":true,"family":"Regan","given":"R.","email":"rsregan@usgs.gov","middleInitial":"Steve","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":729975,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vanderhoof, Melanie K. 0000-0002-0101-5533 mvanderhoof@usgs.gov","orcid":"https://orcid.org/0000-0002-0101-5533","contributorId":168395,"corporation":false,"usgs":true,"family":"Vanderhoof","given":"Melanie","email":"mvanderhoof@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":729979,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70191170,"text":"sir20175108 - 2018 - Stream-channel and watershed delineations and basin-characteristic measurements using lidar elevation data for small drainage basins within the Des Moines Lobe landform region in Iowa","interactions":[],"lastModifiedDate":"2018-02-14T15:01:18","indexId":"sir20175108","displayToPublicDate":"2018-02-14T13:00:00","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":"2017-5108","title":"Stream-channel and watershed delineations and basin-characteristic measurements using lidar elevation data for small drainage basins within the Des Moines Lobe landform region in Iowa","docAbstract":"Basin-characteristic measurements related to stream length, stream slope, stream density, and stream order have been identified as significant variables for estimation of flood, flow-duration, and low-flow discharges in Iowa. The placement of channel initiation points, however, has always been a matter of individual interpretation, leading to differences in stream definitions between analysts.
This study investigated five different methods to define stream initiation using 3-meter light detection and ranging (lidar) digital elevation models (DEMs) data for 17 streamgages with drainage areas less than 50 square miles within the Des Moines Lobe landform region in north-central Iowa. Each DEM was hydrologically enforced and the five stream initiation methods were used to define channel initiation points and the downstream flow paths. The five different methods to define stream initiation were tested side-by-side for three watershed delineations: (1) the total drainage-area delineation, (2) an effective drainage-area delineation of basins based on a 2-percent annual exceedance probability (AEP) 12-hour rainfall, and (3) an effective drainage-area delineation based on a 20-percent AEP 12-hour rainfall.
Generalized least squares regression analysis was used to develop a set of equations for sites in the Des Moines Lobe landform region for estimating discharges for ungaged stream sites with 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent AEPs. A total of 17 streamgages were included in the development of the regression equations. In addition, geographic information system software was used to measure 58 selected basin-characteristics for each streamgage.
Results of the regression analyses of the 15 lidar datasets indicate that the datasets that produce regional regression equations (RREs) with the best overall predictive accuracy are the National Hydrographic Dataset, Iowa Department of Natural Resources, and profile curvature of 0.5 stream initiation methods combined with the 20-percent AEP 12-hour rainfall watershed delineation method. These RREs have a mean average standard error of prediction (SEP) for 4-, 2-, and 1-percent AEP discharges of 53.9 percent and a mean SEP for all eight AEPs of 55.5 percent. Compared to the RREs developed in this study using the basin characteristics from the U.S. Geological Survey StreamStats application, the lidar basin characteristics provide better overall predictive accuracy.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175108","collaboration":"Prepared in cooperation with the Iowa Department of Transportation and the Iowa Highway Research Board (Project TR–692) ","usgsCitation":"Eash, D.A., Barnes, K.K., O’Shea, P.S., and Gelder, B.K., 2018, Stream-channel and watershed delineations and basin-characteristic measurements using lidar elevation data for small drainage basins within the Des Moines Lobe landform region in Iowa: U.S. Geological Survey Scientific Investigations Report 2017–5108, 23 p., https://doi.org/10.3133/sir20175108. ","productDescription":"vi, 23 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-081688","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":351551,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5108/coverthb.jpg"},{"id":351552,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5108/sir20175108.pdf","text":"Report","size":"1.48 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5108"}],"country":"United States","state":"Iowa","otherGeospatial":"Des Moines Lobe landform region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96,\n 41.5\n ],\n [\n -93,\n 41.5\n ],\n [\n -93,\n 43.50075243569041\n ],\n [\n -96,\n 43.50075243569041\n ],\n [\n -96,\n 41.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
400 S. Clinton St., Rm 269
Iowa City, IA 52240
Quiescence is a period of inactivity that occurs before the onset of migratory activity in nocturnally migrating birds. This behavior has been observed in captive birds in migratory disposition, but its occurrence in free-ranging migratory birds has been documented only anecdotally, and causal factors and function(s), if any, are unknown. In this study, we documented and characterized quiescence in three migratory songbird species (red-eyed vireo [Vireo olivaceus], Swainson’s thrush [Catharus ustulatus], and wood thrush [Hylocichla mustelina]) by measuring movement and proportion of time spent inactive prior to departure from a stopover site during fall migration. Individuals of each species displayed a period of inactivity prior to departure which varied from less than 30 min to over 90 min with red-eyed vireos engaged in the longest, most pronounced quiescence. We also examined how quiescence was related to intrinsic and extrinsic factors known to influence the departure of migrating birds, and found some evidence for an effect of age and departure time but no effect of a migrant’s energetic condition, departure direction, atmospheric conditions around departure, or day of year on quiescence. Our novel application of an automated radiotelemetry system yielded a large amount of data to characterize quiescence in free-ranging migratory birds, and we provide guidance for future studies to tease apart the various causal factors and function(s) of this migratory behavior.
","language":"English","publisher":"Springer","doi":"10.1007/s00265-018-2449-y","usgsCitation":"Schofield, L.N., Deppe, J.L., Diehl, R.H., Ward, M.P., Bolus, R.T., Zenzal, T., Smolinsky, J.A., and Moore, F.R., 2018, Occurrence of quiescence in free-ranging migratory songbirds: Behavioral Ecology and Sociobiology, v. 72, 36, https://doi.org/10.1007/s00265-018-2449-y.","productDescription":"36","ipdsId":"IP-091881","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":410462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","noUsgsAuthors":false,"publicationDate":"2018-02-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Schofield, Lynn N.","contributorId":173623,"corporation":false,"usgs":false,"family":"Schofield","given":"Lynn","email":"","middleInitial":"N.","affiliations":[{"id":27256,"text":"Dept of Biological Sciences, Eastern Illinois University, Charleston, IL","active":true,"usgs":false}],"preferred":false,"id":858911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deppe, Jill L.","contributorId":173619,"corporation":false,"usgs":false,"family":"Deppe","given":"Jill","email":"","middleInitial":"L.","affiliations":[{"id":27256,"text":"Dept of Biological Sciences, Eastern Illinois University, Charleston, IL","active":true,"usgs":false}],"preferred":false,"id":858912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diehl, Robert H. 0000-0001-9141-1734 rhdiehl@usgs.gov","orcid":"https://orcid.org/0000-0001-9141-1734","contributorId":3396,"corporation":false,"usgs":true,"family":"Diehl","given":"Robert","email":"rhdiehl@usgs.gov","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":858913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ward, Michael P.","contributorId":173620,"corporation":false,"usgs":false,"family":"Ward","given":"Michael","email":"","middleInitial":"P.","affiliations":[{"id":27257,"text":"Dept of Nat Resources and Env Sciences, University of Illinois, Urbana, IL","active":true,"usgs":false}],"preferred":false,"id":858914,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bolus, Rachel T. rbolus@usgs.gov","contributorId":299881,"corporation":false,"usgs":false,"family":"Bolus","given":"Rachel","email":"rbolus@usgs.gov","middleInitial":"T.","affiliations":[{"id":32977,"text":"Southern Utah University","active":true,"usgs":false}],"preferred":false,"id":858915,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zenzal, Theodore J. Jr.","contributorId":299882,"corporation":false,"usgs":false,"family":"Zenzal","given":"Theodore J.","suffix":"Jr.","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":858916,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smolinsky, Jaclyn A.","contributorId":202723,"corporation":false,"usgs":false,"family":"Smolinsky","given":"Jaclyn","email":"","middleInitial":"A.","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":858917,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Moore, Frank R.","contributorId":54582,"corporation":false,"usgs":false,"family":"Moore","given":"Frank","email":"","middleInitial":"R.","affiliations":[{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":858918,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70195425,"text":"70195425 - 2018 - Assessing the impact of stocking northern-origin hatchery brook trout on the genetics of wild populations in North Carolina","interactions":[],"lastModifiedDate":"2018-02-14T10:54:03","indexId":"70195425","displayToPublicDate":"2018-02-14T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the impact of stocking northern-origin hatchery brook trout on the genetics of wild populations in North Carolina","docAbstract":"The release of hatchery-origin fish into streams with endemics can degrade the genetics of wild populations if interbreeding occurs. Starting in the 1800s, brook trout descendent from wild populations in the northeastern United States were stocked from hatcheries into streams across broad areas of North America to create and enhance fishery resources. Across the southeastern United States, many millions of hatchery-origin brook trout have been released into hundreds of streams, but the extent of introgression with native populations is not well resolved despite large phylogeographic distances between these groups. We used three assessment approaches based on 12 microsatellite loci to examine the extent of hatchery introgression in 406 wild brook trout populations in North Carolina. We found high levels of differentiation among most collections (mean F′ST = 0.718), and among most wild collections and hatchery strains (mean F′ST = 0.732). Our assessment of hatchery introgression was consistent across the three metrics, and indicated that most wild populations have not been strongly influenced by supplemental stocking. However, a small proportion of wild populations in North Carolina appear to have been strongly influenced by stocked conspecifics, or in some cases, may have been founded entirely by hatchery lineages. In addition, we found significant differences in the apparent extent of hatchery introgression among major watersheds, with the Savannah River being the most strongly impacted. Conversely, populations in the Pee Dee River watershed showed little to no evidence of hatchery introgression. Our study represents the first large-scale effort to quantify the extent of hatchery introgression across brook trout populations in the southern Appalachians using highly polymorphic microsatellite markers.
","language":"English","publisher":"Springer","doi":"10.1007/s10592-017-1037-4","usgsCitation":"Kazyak, D., Rash, J., Lubinski, B.A., and King, T.L., 2018, Assessing the impact of stocking northern-origin hatchery brook trout on the genetics of wild populations in North Carolina: Conservation Genetics, v. 19, no. 1, p. 207-219, https://doi.org/10.1007/s10592-017-1037-4.","productDescription":"13 p.","startPage":"207","endPage":"219","ipdsId":"IP-083680","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":438014,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76M35TN","text":"USGS data release","linkHelpText":"Population genetics metrics for wild brook trout populations in North Carolina (1998-2016)"},{"id":351594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.320068359375,\n 34.994003757575776\n ],\n [\n -80.771484375,\n 34.994003757575776\n ],\n [\n -80.771484375,\n 36.56260003738545\n ],\n [\n -84.320068359375,\n 36.56260003738545\n ],\n [\n -84.320068359375,\n 34.994003757575776\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-27","publicationStatus":"PW","scienceBaseUri":"5afee72fe4b0da30c1bfc190","contributors":{"authors":[{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":202481,"corporation":false,"usgs":true,"family":"Kazyak","given":"David C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":728546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rash, Jacob","contributorId":202482,"corporation":false,"usgs":false,"family":"Rash","given":"Jacob","affiliations":[{"id":36454,"text":"North Carolina Wildlife Resources Commission","active":true,"usgs":false}],"preferred":false,"id":728547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lubinski, Barbara A. 0000-0003-3568-2569","orcid":"https://orcid.org/0000-0003-3568-2569","contributorId":202483,"corporation":false,"usgs":true,"family":"Lubinski","given":"Barbara","email":"","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":728548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, Tim L.","contributorId":48070,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":728549,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196383,"text":"70196383 - 2018 - Development and characterization of two cell lines from gills of Atlantic salmon","interactions":[],"lastModifiedDate":"2018-04-04T14:16:21","indexId":"70196383","displayToPublicDate":"2018-02-14T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Development and characterization of two cell lines from gills of Atlantic salmon","docAbstract":"Gill disease in Atlantic salmon, Salmo salar L., causes big losses in the salmon farming industry. Until now, tools to cultivate microorganisms causing gill disease and models to study the gill responses have been lacking. Here we describe the establishment and characterization of two cell lines from the gills of Atlantic salmon. Atlantic salmon gill cell ASG-10 consisted of cells staining for cytokeratin and e-cadherin and with desmosomes as seen by transmission electron microscopy suggesting the cells to be of epithelial origin. These structures were not seen in ASG-13. The cell lines have been maintained for almost 30 passages and both cell lines are fully susceptible to infection by infectious hematopoietic necrosis virus (IHNV), viral hemorrhagic septicemia virus (VHSV), infectious pancreatic necrosis virus (IPNV), Atlantic salmon reovirus TS (TSRV) and Pacific salmon paramyxovirus (PSPV). While infectious salmon anemia virus (ISAV) did not cause visible CPE, immunofluorescent staining revealed a sub-fraction of cells in both the ASG-10 and ASG-13 lines may be permissive to infection. ASG-10 is able to proliferate and migrate to close scratches in the monolayer within seven days in vitro contrary to ASG-13, which does not appear to do have the same proliferative and migratory ability. These cell lines will be useful in studies of gill diseases in Atlantic salmon and may represent an important contribution for alternatives to experimental animals and studies of epithelial–mesenchymal cell biology.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0191792","usgsCitation":"Gjessing, M.C., Aamelfot, M., Batts, W.N., Benestad, S.L., Dale, O.B., Thoen, E., Weli, S.C., and Winton, J.R., 2018, Development and characterization of two cell lines from gills of Atlantic salmon: PLoS ONE, v. 13, no. 2, p. 1-13, https://doi.org/10.1371/journal.pone.0191792.","productDescription":"e0191792; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-092153","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":468999,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0191792","text":"Publisher Index Page"},{"id":353161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-14","publicationStatus":"PW","scienceBaseUri":"5afee72ee4b0da30c1bfc18c","contributors":{"authors":[{"text":"Gjessing, Mona C.","contributorId":203944,"corporation":false,"usgs":false,"family":"Gjessing","given":"Mona","email":"","middleInitial":"C.","affiliations":[{"id":36770,"text":"Norwegian Veterinary Institute, Oslo, Norway","active":true,"usgs":false}],"preferred":false,"id":732696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aamelfot, Maria","contributorId":203945,"corporation":false,"usgs":false,"family":"Aamelfot","given":"Maria","email":"","affiliations":[{"id":36770,"text":"Norwegian Veterinary Institute, Oslo, Norway","active":true,"usgs":false}],"preferred":false,"id":732697,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Batts, William N. 0000-0002-6469-9004 bbatts@usgs.gov","orcid":"https://orcid.org/0000-0002-6469-9004","contributorId":3815,"corporation":false,"usgs":true,"family":"Batts","given":"William","email":"bbatts@usgs.gov","middleInitial":"N.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benestad, Sylvie L.","contributorId":203946,"corporation":false,"usgs":false,"family":"Benestad","given":"Sylvie","email":"","middleInitial":"L.","affiliations":[{"id":36770,"text":"Norwegian Veterinary Institute, Oslo, Norway","active":true,"usgs":false}],"preferred":false,"id":732698,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dale, Ole B.","contributorId":127582,"corporation":false,"usgs":false,"family":"Dale","given":"Ole","email":"","middleInitial":"B.","affiliations":[{"id":7064,"text":"Norwegian Veterinary Institute, Ullevalsveien 68, Oslo, Norway","active":true,"usgs":false}],"preferred":false,"id":732699,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thoen, Even","contributorId":203947,"corporation":false,"usgs":false,"family":"Thoen","given":"Even","email":"","affiliations":[{"id":36771,"text":"Norwegian University of Life Sciences, Oslo, Norway","active":true,"usgs":false}],"preferred":false,"id":732700,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Weli, Simon C.","contributorId":203948,"corporation":false,"usgs":false,"family":"Weli","given":"Simon","email":"","middleInitial":"C.","affiliations":[{"id":36770,"text":"Norwegian Veterinary Institute, Oslo, Norway","active":true,"usgs":false}],"preferred":false,"id":732701,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Winton, James R. 0000-0002-3505-5509 jwinton@usgs.gov","orcid":"https://orcid.org/0000-0002-3505-5509","contributorId":1944,"corporation":false,"usgs":true,"family":"Winton","given":"James","email":"jwinton@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":732694,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70194443,"text":"sir20175150 - 2018 - Postglacial eruptive history and geochemistry of Semisopochnoi volcano, western Aleutian Islands, Alaska","interactions":[],"lastModifiedDate":"2019-12-30T11:27:36","indexId":"sir20175150","displayToPublicDate":"2018-02-14T00:00:00","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":"2017-5150","title":"Postglacial eruptive history and geochemistry of Semisopochnoi volcano, western Aleutian Islands, Alaska","docAbstract":"Semisopochnoi Island, located in the Rat Islands group of the western Aleutian Islands and Aleutian volcanic arc, is a roughly circular island composed of scattered volcanic vents, the prominent caldera of Semisopochnoi volcano, and older, ancestral volcanic rocks. The oldest rocks on the island are gently radially dipping lavas that are the remnants of a shield volcano and of Ragged Top, which is an eroded stratocone southeast of the current caldera. None of these oldest rocks have been dated, but they all are likely Pleistocene in age. Anvil Peak, to the caldera’s north, has the morphology of a young stratocone and is latest Pleistocene to early Holocene in age. The oldest recognized Holocene deposits are those of the caldera-forming eruption, which produced the 7- by 6-km caldera in the center of the island, left nonwelded ignimbrite in valleys below the edifice, and left welded ignimbrite high on its flanks. The caldera-forming eruption produced rocks showing a range of intermediate whole-rock compositions throughout the eruption sequence, although a majority of clasts analyzed form a fairly tight cluster on SiO2-variation diagrams at 62.9 to 63.4 weight percent SiO2. This clustering of compositions at about 63 weight percent SiO2 includes black, dense, obsidian-like clasts, as well as tan, variably oxidized, highly inflated pumice clasts. The best estimate for the timing of the eruption is from a soil dated at 6,920±60 14C years before present underlying a thin facies of the ignimbrite deposit on the island’s north coast. Shortly after the caldera-forming eruption, two scoria cones on the northwest flank of the volcano outside the caldera, Ringworm crater and Threequarter Cone, simultaneously erupted small volumes of andesite.
The oldest intracaldera lavas, on the floor of the caldera, are andesitic to dacitic, but are mostly covered by younger lavas and tephras. These intracaldera lavas include the basaltic andesites of small Windy cone, as well as the more voluminous basaltic andesites of three-peaked Mount Cerberus, which takes up most of the west half of the caldera and has erupted lavas that flowed to the sea on the southwestern coast of the island. Apparently active at the same time as Mount Cerberus, extracaldera Sugarloaf Peak at the southern point of the island has exclusively erupted basalts. Its young satellite peak, Sugarloaf Head, has erupted morphologically young lavas and cinder cones and may be the source of the last historical eruption in 1987. Several tephra sections on the east half of the island record as many as 50 tephras, mostly from Mount Cerberus, Sugarloaf Peak, and Sugarloaf Head, over the past several thousand years.
Eruptive products of Semisopochnoi Island show an overall compositional range of basalt to dacite, though basaltic andesite and andesite constitute the largest proportions of rock types. They are tholeiitic, low to medium K, and have geochemical characteristics typical of magmatic arcs. The earliest Pleistocene lavas are mostly basalts that show the greatest geochemical diversity, as illustrated by, for example, LaN/YbN ratios of 1.9 to 3.5, suggesting fluctuations in the magma source region over the hundreds of thousands of years recorded by these older lavas. The Holocene rocks, in contrast, follow arrays in compositional space that suggest crystallization differentiation from discrete, subtly different batches of magma under varying pressure and temperature conditions. Increasingly negative Eu anomalies and an only modestly increasing alumina saturation index value with differentiation suggest that plagioclase and mafic silicates (amphibole and pyroxene) were involved to varying degrees in fractional crystallization to produce Semisopochnoi’s magmatic diversity. The crystal-poor, andesitic magmas that erupted during caldera formation likely separated from a plagioclase-, amphibole-, and clinopyroxene-dominated crystal residue in the upper crust at less than 900 °C, possibly following a period of decreased magmatic flux. During the Holocene, basaltic Sugarloaf Peak appears to bypass any upper crustal magmatic storage region and erupt crystal-rich basalts. Recent seismic swarms and long-lived warm springs attest to ongoing magmatic activity.
The Holocene eruptive record at Semisopochnoi volcano is one of diverse eruptive styles as well as frequent eruptions from multiple vents located within and outside the caldera. The number and diversity of postcaldera vents means that the sites of future eruptions cannot be predicted with certainty. Future eruptions of ash similar in magnitude to the VEI 3 or less eruptions recorded in the documented tephra deposits would pose a hazard to aircraft in the region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175150","usgsCitation":"Coombs, M.L., Larsen, J.F., and Neal, C.A., 2018, Postglacial eruptive history and geochemistry of Semisopochnoi volcano, western Aleutian Islands, Alaska: U.S. Geological Survey Scientific Investigations Report 2017–5150, 33 p., https://doi.org/10.3133/sir20175150.","productDescription":"Report: iv, 33 p.; 2 Tables","numberOfPages":"40","onlineOnly":"Y","ipdsId":"IP-067229","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":438015,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P925UXOR","text":"USGS data release","linkHelpText":"Digital geologic map data for Semisopochnoi Island, Alaska"},{"id":351618,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2017/5150/sir20175150_table2.xlsx","text":"Table 2","size":"65 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2017-5150","linkHelpText":" - Matrix-glass compositions of pyroclasts from Semisopochnoi volcano and Amchitka Island, Alaska, as determined by electron microprobe"},{"id":351617,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2017/5150/sir20175150_table1.xlsx","text":"Table 1","size":"100 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2017-5150","linkHelpText":" - Whole-rock compositions, locations, and descriptions of lava and tephra samples from Semisopochnoi Island, Alaska"},{"id":351615,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5150/coverthb.jpg"},{"id":351616,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5150/sir20175150.pdf","text":"Report","size":"15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5150"}],"country":"United States","state":"Alaska","otherGeospatial":"Semisopochnoi Volcano","contact":"Alaska Volcano Observatory
U.S. Geological Survey
4210 University Drive
Anchorage, AK 99508
1.Dams disrupt the river continuum, altering hydrology, biodiversity, and energy flow. Although research indicates that tributary inputs have the potential to dilute these effects, knowledge at the food web level is still scarce.
2.Here we examined the riverine food web structure of the Colorado River below Glen Canyon Dam, focusing on organic matter sources, trophic diversity, and food chain length. We asked how these components respond to pulsed flows from tributaries following monsoon thunderstorms that seasonally increase streamflow in the American Southwest.
3.Tributaries increased the relative importance of terrestrial organic matter, particularly during the wet season below junctures of key tributaries. This contrasted with the algal-based food web present immediately below Glen Canyon Dam.
4.Tributary inputs during the monsoon also increased trophic diversity and food chain length: food chain length peaked below the confluence with the largest tributary (by discharge) in Grand Canyon, increasing by >1 trophic level over a 4-5 kilometre reach possibly due to aquatic prey being flushed into the mainstem during heavy rain events.
5.Our results illustrate that large tributaries can create seasonal discontinuities, influencing riverine food web structure in terms of allochthony, food web diversity, and food chain length.
6.Synthesis and applications. Pulsed flows from unregulated tributaries following seasonal monsoon rains increase the importance of terrestrially-derived organic matter in large, regulated river food webs, increasing food chain length and trophic diversity downstream of tributary inputs. Protecting unregulated tributaries within hydropower cascades may be important if we are to mitigate food web structure alteration due to flow regulation by large dams. This is critical in the light of global hydropower development, especially in megadiverse, developing countries where dam placement (including completed and planned structures) is in tributaries.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.13109","usgsCitation":"Sabo, J., Caron, M., Doucett, R.R., Dibble, K.L., Ruhi, A., Marks, J., Hungate, B., and Kennedy, T.A., 2018, Pulsed flows, tributary inputs, and food web structure in a highly regulated river: Journal of Applied Ecology, v. 55, no. 4, p. 1884-1895, https://doi.org/10.1111/1365-2664.13109.","productDescription":"12 p.","startPage":"1884","endPage":"1895","ipdsId":"IP-069945","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468998,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13109","text":"Publisher Index Page"},{"id":438013,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7FX78CV","text":"USGS data release","linkHelpText":"Food Web Data, Colorado River Corridor, Grand Canyon, Arizona, 2006"},{"id":351612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado River","volume":"55","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-02","publicationStatus":"PW","scienceBaseUri":"5afee72fe4b0da30c1bfc18e","contributors":{"authors":[{"text":"Sabo, John","contributorId":202486,"corporation":false,"usgs":false,"family":"Sabo","given":"John","affiliations":[{"id":36455,"text":"Julie Ann Wrigley Global Institute of Sustainability","active":true,"usgs":false}],"preferred":false,"id":728553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caron, Melanie","contributorId":202487,"corporation":false,"usgs":false,"family":"Caron","given":"Melanie","email":"","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":728554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doucett, Richard R.","contributorId":172996,"corporation":false,"usgs":false,"family":"Doucett","given":"Richard","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":728555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dibble, Kimberly L. 0000-0003-0799-4477 kdibble@usgs.gov","orcid":"https://orcid.org/0000-0003-0799-4477","contributorId":5174,"corporation":false,"usgs":true,"family":"Dibble","given":"Kimberly","email":"kdibble@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":728552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruhi, Albert","contributorId":202488,"corporation":false,"usgs":false,"family":"Ruhi","given":"Albert","email":"","affiliations":[{"id":36456,"text":"Julie Ann Wrigley Global Institute of Sustainability ASU","active":true,"usgs":false}],"preferred":false,"id":728556,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marks, Jane","contributorId":202489,"corporation":false,"usgs":false,"family":"Marks","given":"Jane","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":728557,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hungate, Bruce","contributorId":202490,"corporation":false,"usgs":false,"family":"Hungate","given":"Bruce","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":728558,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kennedy, Theodore A. 0000-0003-3477-3629 tkennedy@usgs.gov","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":167537,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore","email":"tkennedy@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":728559,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70195417,"text":"70195417 - 2018 - Opal-A in glassy pumice, acid alteration, and the 1817 phreatomagmatic eruption at Kawah Ijen (Java), Indonesia","interactions":[],"lastModifiedDate":"2018-02-14T09:52:42","indexId":"70195417","displayToPublicDate":"2018-02-14T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Opal-A in glassy pumice, acid alteration, and the 1817 phreatomagmatic eruption at Kawah Ijen (Java), Indonesia","docAbstract":"At Kawah Ijen (Indonesia), vigorous SO2 and HCl degassing sustains a hyperacid lake (pH ~0) and intensely alters the subsurface, producing widespread residual silica and advanced argillic alteration products. In 1817, a VEI 2 phreatomagmatic eruption evacuated the lake, depositing a widespread layer of muddy ash fall, and sending lahars down river drainages. We discovered multiple types of opaline silica in juvenile low-silica dacite pumice and in particles within co-erupted laharic sediments. Most spectacular are opal-replaced phenocrysts of plagioclase and pyroxene adjacent to pristine matrix glass and melt inclusions. Opal-bearing pumice has been found at numerous sites, including where post-eruption infiltration of acid water is unlikely. Through detailed analyses of an initial sampling of 1817 eruption products, we find evidence for multiple origins of opaline materials in pumice and laharic sediments. Evidently, magma encountered acid-altered materials in the subsurface and triggered phreatomagmatic eruptions. Syn-eruptive incorporation of opal-alunite clasts, layered opal, and fragment-filled vesicles of opal and glass, all suggest magma-rock interactions in concert with vesiculation, followed by cooling within minutes. Our experiments at magmatic temperature confirm that the opaline materials would show noticeable degradation in time periods longer than a few tens of minutes. Some glassy laharic sedimentary grains are more andesitic than the main pumice type and may represent older volcanic materials that were altered beneath the lake bottom and were forcefully ejected during the 1817 eruption. A post-eruptive origin remains likely for most of the opal-replaced phenocrysts in pumice. Experiments at 25°C and 100°C reveal that when fresh pumice is bathed in Kawah Ijen hyperacid fluid for 6 weeks, plagioclase is replaced without altering either matrix glass or melt inclusions. Moreover, lack of evidence for high-temperature annealing of the opal suggests that post-eruption alteration of pumice is more likely than pre-eruption envelopment of euhedral opal-replaced phenocrysts in dacitic melt. At Ijen and elsewhere, the ascent of magma into hydrous acid-altered mineral assemblages (e.g., opal, kaolinite, alunite) could induce rapid dehydration of hydrous minerals and amorphous materials, generating considerable steam and contributing to magmatic-hydrothermal and phreatomagmatic explosions.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2018.00011","usgsCitation":"Lowenstern, J.B., van Hinsberg, V., Berlo, K., Liesegang, M., Iacovino, K.D., Bindeman, I.N., and Wright, H.M., 2018, Opal-A in glassy pumice, acid alteration, and the 1817 phreatomagmatic eruption at Kawah Ijen (Java), Indonesia: Frontiers in Earth Science, v. 6, Article 11; 21 p., https://doi.org/10.3389/feart.2018.00011.","productDescription":"Article 11; 21 p.","ipdsId":"IP-091995","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":461039,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2018.00011","text":"Publisher Index Page"},{"id":351579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Indonesia","otherGeospatial":"Kawah Ijen","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 113.15917968749999,\n -9.00445156167208\n ],\n [\n 114.697265625,\n -9.00445156167208\n ],\n [\n 114.697265625,\n -7.438730529686968\n ],\n [\n 113.15917968749999,\n -7.438730529686968\n ],\n [\n 113.15917968749999,\n -9.00445156167208\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-13","publicationStatus":"PW","scienceBaseUri":"5afee72fe4b0da30c1bfc192","contributors":{"authors":[{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":728512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Hinsberg, Vincent","contributorId":194974,"corporation":false,"usgs":false,"family":"van Hinsberg","given":"Vincent","affiliations":[],"preferred":false,"id":728513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berlo, Kim","contributorId":55324,"corporation":false,"usgs":true,"family":"Berlo","given":"Kim","affiliations":[],"preferred":false,"id":728514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liesegang, Moritz","contributorId":202477,"corporation":false,"usgs":false,"family":"Liesegang","given":"Moritz","email":"","affiliations":[],"preferred":false,"id":728515,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Iacovino, Kayla D. kiacovino@usgs.gov","contributorId":5737,"corporation":false,"usgs":true,"family":"Iacovino","given":"Kayla","email":"kiacovino@usgs.gov","middleInitial":"D.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":728516,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bindeman, Ilya N.","contributorId":175500,"corporation":false,"usgs":false,"family":"Bindeman","given":"Ilya","email":"","middleInitial":"N.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":728517,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wright, Heather M. 0000-0001-9013-507X hwright@usgs.gov","orcid":"https://orcid.org/0000-0001-9013-507X","contributorId":3949,"corporation":false,"usgs":true,"family":"Wright","given":"Heather","email":"hwright@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":728518,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70194395,"text":"fs20173086 - 2018 - Assessment of undiscovered continuous oil and gas resources in the Hanoi Trough, Vietnam, 2017","interactions":[],"lastModifiedDate":"2018-02-14T10:12:58","indexId":"fs20173086","displayToPublicDate":"2018-02-13T18:30:00","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":"2017-3086","title":"Assessment of undiscovered continuous oil and gas resources in the Hanoi Trough, Vietnam, 2017","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean undiscovered, technically recoverable continuous resources of 52 million barrels of oil and 591 billion cubic feet of gas in the Hanoi Trough of Vietnam.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173086","usgsCitation":"Schenk, C.J., Tennyson, M.E., Mercier, T.J., Woodall, C.A., Le, P.A., Klett, T.R., Finn, T.M., Leathers-Miller, H.M., Gaswirth, S.B., and Marra, K.R., 2018, Assessment of undiscovered continuous oil and gas resources in the Hanoi Trough, Vietnam, 2017: U.S. Geological Survey Fact Sheet 2017–3086, 2 p., https://doi.org/10.3133/fs20173086.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-088287","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":351520,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20173023","text":"Fact Sheet 2017–3023: ","linkHelpText":"Assessment of Continuous Gas Resources in the Khorat Plateau Province, Thailand and Laos, 2016"},{"id":351521,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2010/3015","text":"Fact Sheet 2010–3015: ","linkHelpText":"Assessment of Undiscovered Oil and Gas Resources of Southeast Asia, 2010"},{"id":351518,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3086/coverthb2.jpg"},{"id":351519,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3086/fs20173086.pdf","text":"Report","size":"812 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3086"}],"country":"Vietnam","otherGeospatial":"Hanoi Trough","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 105.9,\n 20.25\n ],\n [\n 106.75,\n 20.25\n ],\n [\n 106.75,\n 21\n ],\n [\n 105.9,\n 21\n ],\n [\n 105.9,\n 20.25\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
We investigate the implications of deformation experiments for the coseismic down‐dip extent of rupture in quasi‐dynamic, whole‐cycle earthquake models of a fault for which the depth of the transition between seismic and aseisimic fault slip depends on strain rate. The calculations use a dislocation fault model from Tse and Rice (1986) with a vertical strike‐slip orientation, mode III rupture, and variable along‐strike length. Our reference calculation is the original rheological representation of Tse and Rice with a strain‐rate‐independent transition. The primary calculations use two different representations of a strain‐rate‐dependent transition: (1) between rate‐weakening friction and dislocation creep and (2) between rate‐weakening and rate‐strengthening frictions. For both these cases, when fault strength is high (friction between 0.5 and 0.6) and the transition is sharp, coseismic slip extends a small distance (1–2 km) below the fixed temperature (depth) that is commonly used to define the rheological transition at the plate‐motion rate. Thus, coseismic slip occurs below the depth assumed in seismic hazard models using microseismicity or a chosen fixed‐temperature contour. Though significant coseismic slip occurs below the plate‐rate transition depth, the added moment is
Information on flood inundation extent is important for understanding societal exposure, water storage volumes, flood wave attenuation, future flood hazard, and other variables. A number of organizations now provide flood inundation maps based on satellite remote sensing. These data products can efficiently and accurately provide the areal extent of a flood event, but do not provide floodwater depth, an important attribute for first responders and damage assessment. Here we present a new methodology and a GIS-based tool, the Floodwater Depth Estimation Tool (FwDET), for estimating floodwater depth based solely on an inundation map and a digital elevation model (DEM). We compare the FwDET results against water depth maps derived from hydraulic simulation of two flood events, a large-scale event for which we use medium resolution input layer (10 m) and a small-scale event for which we use a high-resolution (LiDAR; 1 m) input. Further testing is performed for two inundation maps with a number of challenging features that include a narrow valley, a large reservoir, and an urban setting. The results show FwDET can accurately calculate floodwater depth for diverse flooding scenarios but also leads to considerable bias in locations where the inundation extent does not align well with the DEM. In these locations, manual adjustment or higher spatial resolution input is required.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12609","usgsCitation":"Cohen, S., Brakenridge, G.R., Kettner, A., Bates, B., Nelson, J.M., McDonald, R.R., Huang, Y., Munasinghe, D., and Zhang, J., 2018, Estimating floodwater depths from flood inundation maps and topography: Journal of the American Water Resources Association, v. 54, no. 4, p. 847-858, https://doi.org/10.1111/1752-1688.12609.","productDescription":"12 p.","startPage":"847","endPage":"858","ipdsId":"IP-085532","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":469000,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.12609","text":"Publisher Index Page"},{"id":351559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-17","publicationStatus":"PW","scienceBaseUri":"5afee730e4b0da30c1bfc19a","contributors":{"authors":[{"text":"Cohen, Sagy","contributorId":202461,"corporation":false,"usgs":false,"family":"Cohen","given":"Sagy","email":"","affiliations":[{"id":36450,"text":"Department of Geography, University of Alabama, Tuscaloosa, AL 35487, USA","active":true,"usgs":false}],"preferred":false,"id":728452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brakenridge, G. Robert","contributorId":202462,"corporation":false,"usgs":false,"family":"Brakenridge","given":"G.","email":"","middleInitial":"Robert","affiliations":[{"id":36451,"text":"Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO 80309, USA","active":true,"usgs":false}],"preferred":false,"id":728453,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kettner, Albert","contributorId":202463,"corporation":false,"usgs":false,"family":"Kettner","given":"Albert","affiliations":[{"id":36451,"text":"Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO 80309, USA","active":true,"usgs":false}],"preferred":false,"id":728454,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bates, Bradford","contributorId":202464,"corporation":false,"usgs":false,"family":"Bates","given":"Bradford","email":"","affiliations":[{"id":36450,"text":"Department of Geography, University of Alabama, Tuscaloosa, AL 35487, USA","active":true,"usgs":false}],"preferred":false,"id":728455,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":728451,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","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":728456,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huang, Yu-Fen","contributorId":202465,"corporation":false,"usgs":false,"family":"Huang","given":"Yu-Fen","email":"","affiliations":[{"id":36452,"text":"University of Hawaii at Manoa, HI 96822, USA","active":true,"usgs":false}],"preferred":false,"id":728457,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Munasinghe, Dinuke","contributorId":202466,"corporation":false,"usgs":false,"family":"Munasinghe","given":"Dinuke","email":"","affiliations":[{"id":36450,"text":"Department of Geography, University of Alabama, Tuscaloosa, AL 35487, USA","active":true,"usgs":false}],"preferred":false,"id":728458,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zhang, Jiaqi","contributorId":202467,"corporation":false,"usgs":false,"family":"Zhang","given":"Jiaqi","email":"","affiliations":[{"id":36453,"text":"University of Texas, Arlington, TX, USA","active":true,"usgs":false}],"preferred":false,"id":728459,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70195396,"text":"70195396 - 2018 - The metabolic regimes of flowing waters","interactions":[],"lastModifiedDate":"2018-03-12T13:06:17","indexId":"70195396","displayToPublicDate":"2018-02-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"The metabolic regimes of flowing waters","docAbstract":"The processes and biomass that characterize any ecosystem are fundamentally constrained by the total amount of energy that is either fixed within or delivered across its boundaries. Ultimately, ecosystems may be understood and classified by their rates of total and net productivity and by the seasonal patterns of photosynthesis and respiration. Such understanding is well developed for terrestrial and lentic ecosystems but our understanding of ecosystem phenology has lagged well behind for rivers. The proliferation of reliable and inexpensive sensors for monitoring dissolved oxygen and carbon dioxide is underpinning a revolution in our understanding of the ecosystem energetics of rivers. Here, we synthesize our current understanding of the drivers and constraints on river metabolism, and set out a research agenda aimed at characterizing, classifying and modeling the current and future metabolic regimes of flowing waters.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.10726","usgsCitation":"Bernhardt, E., Heffernan, J.B., Grimm, N.B., Stanley, E.H., Harvey, J., Arroita, M., Appling, A.P., Cohen, M., McDowell, W.H., Hall, R., Read, J.S., Roberts, B., Stets, E.G., and Yackulic, C.B., 2018, The metabolic regimes of flowing waters: Limnology and Oceanography, v. 63, no. S1, p. S99-S118, https://doi.org/10.1002/lno.10726.","productDescription":"20 p.","startPage":"S99","endPage":"S118","ipdsId":"IP-090174","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":461041,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.10726","text":"Publisher Index Page"},{"id":351535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"S1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-12","publicationStatus":"PW","scienceBaseUri":"5afee730e4b0da30c1bfc19c","contributors":{"authors":[{"text":"Bernhardt, Emily S.","contributorId":92143,"corporation":false,"usgs":false,"family":"Bernhardt","given":"Emily S.","affiliations":[{"id":27331,"text":"Duke University, Durham, NC","active":true,"usgs":false}],"preferred":false,"id":728399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heffernan, Jim B.","contributorId":202432,"corporation":false,"usgs":false,"family":"Heffernan","given":"Jim","email":"","middleInitial":"B.","affiliations":[{"id":36435,"text":"Nicholas School of the Environment, Duke University","active":true,"usgs":false}],"preferred":false,"id":728398,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grimm, Nancy B.","contributorId":44058,"corporation":false,"usgs":false,"family":"Grimm","given":"Nancy","email":"","middleInitial":"B.","affiliations":[{"id":24511,"text":"Arizona State University, Tempe AZ USA 85287","active":true,"usgs":false}],"preferred":false,"id":728400,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":728401,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":140228,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - 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Once the annual maximum durations were computed, the floodduration frequencies could be estimated. The estimated flood-duration frequencies correspond to the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent probabilities of their occurring or being exceeded each year. For this report, the focus was on the Willamette River Basin in Oregon, which is a subbasin of the Columbia River Basin. This study is part of a larger one encompassing the entire Columbia Basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181020","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers and the Bureau of Reclamation","usgsCitation":"Lind, G.D., and Stonewall, A.J., 2018, Preliminary flood-duration frequency estimates using naturalized streamflow records for the Willamette River Basin, Oregon: U.S. Geological Survey Open-File Report 2018-1020, 17 p., https://doi.org/10.3133/ofr20181020.","productDescription":"iv, 17 p.","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-091315","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":351566,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1020/ofr20181020.pdf","text":"Report","size":"455 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1020"},{"id":351565,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1020/coverthb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124,\n 43.25\n ],\n [\n -121.75,\n 43.25\n ],\n [\n -121.75,\n 45.75\n ],\n [\n -124,\n 45.75\n ],\n [\n -124,\n 43.25\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201
The Mendocino Triple Junction region is the most seismically active part of the Cascadia Subduction Zone. The northward moving Pacific plate collides with the subducting Gorda plate causing intense internal deformation within it. Here we show that the stress field rotates rapidly with depth across the thrust interface from a strike-slip regime within the subducting plate, reflecting the Pacific plate collision, to a thrust regime in the overriding plate. We utilize a dense focal mechanism dataset, including observations from the Cascadia Initiative ocean bottom seismograph experiment, to constrain the stress orientations. To quantify the implications of this rotation for the strength of the plate boundary, we designed an inversion that solves for the absolute stress tensors in a three-layer model subject to assumptions about the strength of the subducting mantle. Our results indicate that the shear stress on the plate boundary fault is likely no more than about ∼50 MPa at ∼20 km depth. Regardless of the assumed mantle strength, we infer a relatively weak megathrust fault with an effective friction coefficient of ∼0 to 0.2 at seismogenic depths. Such a low value for the effective friction coefficient requires a combination of high fluid pressures and/or fault-zone minerals with low inherent friction in the region where a great earthquake is expected in Cascadia.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2018.01.002","usgsCitation":"Li, D., McGuire, J.J., Liu, Y., and Hardebeck, J.L., 2018, Stress rotation across the Cascadia megathrust requires a weak subduction plate boundary at seismogenic depths: Earth and Planetary Science Letters, v. 485, p. 55-64, https://doi.org/10.1016/j.epsl.2018.01.002.","productDescription":"10 p.","startPage":"55","endPage":"64","ipdsId":"IP-088612","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469002,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2018.01.002","text":"Publisher Index Page"},{"id":351522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.2,\n 41.2\n ],\n [\n -123.6,\n 41.2\n ],\n [\n -123.6,\n 40\n ],\n [\n -125.2,\n 40\n ],\n [\n -125.2,\n 41.2\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"485","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee731e4b0da30c1bfc1a6","contributors":{"authors":[{"text":"Li, Duo","contributorId":202366,"corporation":false,"usgs":false,"family":"Li","given":"Duo","email":"","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":728275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Jeffrey J. 0000-0001-9235-2166 jmcguire@whoi.edu","orcid":"https://orcid.org/0000-0001-9235-2166","contributorId":177447,"corporation":false,"usgs":false,"family":"McGuire","given":"Jeffrey","email":"jmcguire@whoi.edu","middleInitial":"J.","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":728276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Yajing","contributorId":202367,"corporation":false,"usgs":false,"family":"Liu","given":"Yajing","email":"","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":728277,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780 jhardebeck@usgs.gov","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":841,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"jhardebeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":728274,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195383,"text":"70195383 - 2018 - Beyond clay: Towards an improved set of variables for predicting soil organic matter content","interactions":[],"lastModifiedDate":"2018-02-22T13:00:21","indexId":"70195383","displayToPublicDate":"2018-02-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Beyond clay: Towards an improved set of variables for predicting soil organic matter content","docAbstract":"Improved quantification of the factors controlling soil organic matter (SOM) stabilization at continental to global scales is needed to inform projections of the largest actively cycling terrestrial carbon pool on Earth, and its response to environmental change. Biogeochemical models rely almost exclusively on clay content to modify rates of SOM turnover and fluxes of climate-active CO2 to the atmosphere. Emerging conceptual understanding, however, suggests other soil physicochemical properties may predict SOM stabilization better than clay content. We addressed this discrepancy by synthesizing data from over 5,500 soil profiles spanning continental scale environmental gradients. Here, we demonstrate that other physicochemical parameters are much stronger predictors of SOM content, with clay content having relatively little explanatory power. We show that exchangeable calcium strongly predicted SOM content in water-limited, alkaline soils, whereas with increasing moisture availability and acidity, iron- and aluminum-oxyhydroxides emerged as better predictors, demonstrating that the relative importance of SOM stabilization mechanisms scales with climate and acidity. These results highlight the urgent need to modify biogeochemical models to better reflect the role of soil physicochemical properties in SOM cycling.
","language":"English","publisher":"Springer","doi":"10.1007/s10533-018-0424-3","usgsCitation":"Rasmussen, C., Heckman, K., Wieder, W.R., Keiluweit, M., Lawrence, C.R., Berhe, A., Blankinship, J.C., Crow, S.E., Druhan, J., Hicks Pries, C.E., Marin-Spiotta, E., Plante, A.F., Schadel, C., Schmiel, J.P., Sierra, C., Thompson, A., and Wagai, R., 2018, Beyond clay: Towards an improved set of variables for predicting soil organic matter content: Biogeochemistry, v. 137, no. 3, p. 297-306, https://doi.org/10.1007/s10533-018-0424-3.","productDescription":"10 p.","startPage":"297","endPage":"306","ipdsId":"IP-092121","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":461045,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10533-018-0424-3","text":"Publisher Index 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Aaron","contributorId":190447,"corporation":false,"usgs":false,"family":"Thompson","given":"Aaron","affiliations":[],"preferred":false,"id":728303,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Wagai, Rota","contributorId":202389,"corporation":false,"usgs":false,"family":"Wagai","given":"Rota","email":"","affiliations":[{"id":36407,"text":"Institute for Agro-Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":728304,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70196209,"text":"70196209 - 2018 - Unique parasite aDNA in moa coprolites from New Zealand suggests mass parasite extinctions followed human-induced megafauna extinctions","interactions":[],"lastModifiedDate":"2018-03-26T16:31:24","indexId":"70196209","displayToPublicDate":"2018-02-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Unique parasite aDNA in moa coprolites from New Zealand suggests mass parasite extinctions followed human-induced megafauna extinctions","docAbstract":"Having split early from Gondwana, Zealandia (now modern New Zealand) escaped discovery until the late 13th century, and therefore remains an important glimpse into a human-free world. Without humans or other land mammals, diverse and peculiar birds evolved in isolation, including several flightless moa species, the giant pouakai eagle (Harpagornis moorei), the kiwi (Apteryx mantelli), and the kakapo parrot (Strigops habroptila). This unique community has fascinated paleoecologists, who have spent almost two centuries devising new ways to glean information from ancient bird remains. In PNAS, Boast et al. (1) apply one recent technological advance, ancient DNA (aDNA) metabarcoding, to confirm previous discoveries and report new details about moa and kakapo diets, parasites, and niches. Their efforts confirm Zealandia was a lot different before humans arrived.
","language":"English","publisher":"National Academy of Sciences of United States of America","doi":"10.1073/pnas.1722598115","usgsCitation":"Lafferty, K.D., and Hopkins, S.R., 2018, Unique parasite aDNA in moa coprolites from New Zealand suggests mass parasite extinctions followed human-induced megafauna extinctions: PNAS, v. 115, no. 7, p. 1411-1413, https://doi.org/10.1073/pnas.1722598115.","productDescription":"3 p.","startPage":"1411","endPage":"1413","ipdsId":"IP-093819","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469003,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1722598115","text":"Publisher Index Page"},{"id":352774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","issue":"7","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-13","publicationStatus":"PW","scienceBaseUri":"5afee730e4b0da30c1bfc198","contributors":{"authors":[{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":731685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hopkins, Skylar R.","contributorId":203515,"corporation":false,"usgs":false,"family":"Hopkins","given":"Skylar","email":"","middleInitial":"R.","affiliations":[{"id":36642,"text":"National Center for Ecological Analysis and Synthesis, Santa Barbara,","active":true,"usgs":false}],"preferred":false,"id":731686,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70195382,"text":"70195382 - 2018 - Coastal knickpoints and the competition between fluvial and wave-driven erosion on rocky coastlines","interactions":[],"lastModifiedDate":"2018-02-13T10:42:23","indexId":"70195382","displayToPublicDate":"2018-02-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Coastal knickpoints and the competition between fluvial and wave-driven erosion on rocky coastlines","docAbstract":"Active margin coastlines are distinguished by rock erosion that acts in two different directions: waves erode the coast horizontally or landwards, a process that creates sea cliffs; and rivers and streams erode the landscape vertically via channel incision. The relative rates of each process exert a dominant control on coastline morphology. Using a model of river channel incision and sea-cliff retreat, we explore how terrestrial and marine erosion compete to shape coastal topography, and specifically what conditions encourage the development of coastal knickpoints (i.e., a river or stream channels that end at a raised sea-cliff edge). We then compare results to actual landscapes. Model results and observations show that coastal knickpoint development is strongly dependent on drainage basin area, where knickpoints typically occur in drainage basins smaller than 5 × 105–6 × 106 m2, as well as channel geometry and sea-cliff retreat rate. In our study area, coastal knickpoints with persistent flow (waterfalls) are uncommon and form only within a small morphological window when 1) drainage basin area is large enough to sustain steady stream discharge, but not large enough to out-compete sea-cliff formation, 2) sea-cliff retreat is rapid, and 3) channel concavity is low so that channel slopes at the coast are high. This particular geomorphic combination can sustain sea-cliff formation even when streams tap into larger drainage basins with greater discharge and more stream power, and provides an initial explanation of why persistent coastal waterfalls are, along many coastlines, relatively rare features.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2017.12.035","usgsCitation":"Limber, P.W., and Barnard, P., 2018, Coastal knickpoints and the competition between fluvial and wave-driven erosion on rocky coastlines: Geomorphology, v. 306, p. 1-12, https://doi.org/10.1016/j.geomorph.2017.12.035.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-085956","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469001,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2017.12.035","text":"Publisher Index Page"},{"id":351512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.67285156250001,\n 34.252676117101515\n ],\n [\n -119.72900390625001,\n 34.252676117101515\n ],\n [\n -119.72900390625001,\n 40.48038142908172\n ],\n [\n -124.67285156250001,\n 40.48038142908172\n ],\n [\n -124.67285156250001,\n 34.252676117101515\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"306","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee731e4b0da30c1bfc1a4","contributors":{"authors":[{"text":"Limber, Patrick W. 0000-0002-8207-3750 plimber@usgs.gov","orcid":"https://orcid.org/0000-0002-8207-3750","contributorId":196794,"corporation":false,"usgs":true,"family":"Limber","given":"Patrick","email":"plimber@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":728286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":728287,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70194535,"text":"sir20175153 - 2018 - Water pressure and ground vibrations induced by water guns near Brandon Road Lock and Dam and Lemont, Illinois","interactions":[],"lastModifiedDate":"2019-07-01T06:32:59","indexId":"sir20175153","displayToPublicDate":"2018-02-13T00:00:00","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":"2017-5153","title":"Water pressure and ground vibrations induced by water guns near Brandon Road Lock and Dam and Lemont, Illinois","docAbstract":"Multiple geophysical sensors were used to characterize the underwater pressure field and ground vibrations of a seismic water gun and its suitability to deter the movement of Asian carps (particularly the silver [Hypophthalmichthys molitrix] and bighead [Hypophthalmichthys nobilis] carps) while ensuring the integrity of surrounding structures. The sensors used to collect this information were blast-rated hydrophones, surface- and borehole-mounted geophones, and fixed accelerometers.
Results from two separate studies are discussed in this report. The Brandon Road study took place in May 2014, in the Des Plaines River, in a concrete-walled channel downstream of the Brandon Road Lock and Dam near Joliet, Illinois. The Lemont study took place in June 2014, in a segment of the dolomite setblock-lined Chicago Sanitary and Ship Canal near Lemont, Illinois.
Two criteria were evaluated to assess the potential deterrence to carp migration, and to minimize the expected effect on nearby structures from discharge of the seismic water gun. The first criterion was a 5-pound-per-square-inch (lb/in2) limit for dynamic underwater pressure variations. The second criterion was a maximum velocity and acceleration disturbance of 0.75 inch per second (in/s) for sensitive machinery (such as the lock gates and pumps) and 2.0 in/s adjacent to canal walls, respectively. The criteria were based on previous studies of fish responses to dynamic pressure variations, and effects of vibrations on the structural integrity of concrete walls.
The Brandon Road study evaluated the magnitude and extent of the pressure field created by two water gun configurations in the concrete-walled channel downstream of the lock where channel depths ranged from 11 to 14 feet (ft). Data from a single 80-cubic-inch (in³) water gun set at 6 ft below water surface (bws) produced a roughly cylindrical 5-lb/in2 pressure field 20 ft in radius, oriented vertically, with the radius decreasing to less than 15 ft at the water surface. A combination of two 80-in3 water guns set at 6 and 8 ft, respectively, produced a similarly shaped 5 lb/in2 pressure field 30 ft in radius. Neither of the water gun configurations exceeded the given threshold of 5 lb/in2 above the static pressure along the walls of the canal at the 700 lb/in2 water gun input pressure. Velocity and acceleration data were collected simultaneously with the underwater pressure data to understand the response of adjacent canal walls to the water gun firings. Maximum velocity and acceleration were 0.239 in/s and 0.0188 feet per second squared (ft/s2), respectively.
The Lemont study replicated and expanded upon work done in 2011. The pressure field created by the water gun was evaluated in a deeper environment (about 25 ft of water depth) than that of the Brandon Road study. To replicate the 2011 study, data were collected with the same water gun placements and input pressure, but static underwater pressure monitoring was added. Two 80-in3 water guns were suspended below a platform at depths of 4 and 14 ft bws. Pressure was lower when the gun suspended at 4 ft bws was fired as compared to firing the single gun suspended at 14 ft bws. Firing both guns simultaneously produced similar pressures to the single gun suspended at 14 ft bws. Data were collected to assess the pressure field produced by two 80-in3 water guns separated by 80 ft and suspended at a depth of 14 ft bws. The spatial extent of the 5-lb/in2 threshold varied substantially with gun input air pressure. Firing the water gun with an air pressure of 2,000 lb/in2 generated a pressure field greater than the threshold at all but one location in the measured region. Additionally, the water gun with an air pressure of 1,000 lb/in2 did not reach the threshold anywhere in the measured region. Maximum velocity and acceleration were 0.304 in/s and 0.015 ft/s2, respectively.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175153","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, Great Lakes Restoration Initiative","usgsCitation":"Adams, R.F., Koebel, C.M., and Morrow, W.S., 2018, Water pressure and ground vibrations induced by water guns near Brandon Road Lock and Dam and Lemont, Illinois: U.S. Geological Survey Scientific Investigations Report 2017–5153, 55 p., https://doi.org/10.3133/sir20175153.","productDescription":"ix, 55 p.","numberOfPages":"70","onlineOnly":"Y","ipdsId":"IP-075231","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":351541,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5153/coverthb.jpg"},{"id":351542,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5153/sir20175153.pdf","text":"Report","size":"17 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5153"}],"country":"United States","state":"Illinois","city":" Lemont","otherGeospatial":"Brandon Road Lock and Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.1056,\n 41.5033\n ],\n [\n -88.1033,\n 41.5033\n ],\n [\n -88.1033,\n 41.5011\n ],\n [\n -88.1056,\n 41.5011\n ],\n [\n -88.1056,\n 41.5033\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Illinois Water Science Center
U.S. Geological Survey
405 N Goodwin
Urbana, IL 61801
Enhancing natural resource management has been a focus of landscape ecology since its inception, but numerous authors argue that landscape ecology has not yet been effective in achieving the underlying goal of planning and designing sustainable landscapes. We developed nine questions reflecting the application of fundamental research topics in landscape ecology to the landscape planning process and reviewed two recent landscape-scale plans in western North America for evidence of these concepts in plan decisions. Both plans considered multiple resources, uses, and values, including energy development, recreation, conservation, and protection of cultural and historic resources. We found that land use change and multiscale perspectives of resource uses and values were very often apparent in planning decisions. Pattern-process relationships, connectivity and fragmentation, ecosystem services, landscape history, and climate change were reflected less frequently. Landscape sustainability was considered only once in the 295 decisions reviewed, and outputs of landscape models were not referenced. We suggest six actionable opportunities for further integrating landscape ecology concepts into landscape planning efforts: 1) use landscape sustainability as an overarching goal, 2) adopt a broad ecosystem services framework, 3) explore the role of landscape history more comprehensively, 4) regularly consider and accommodate potential effects of climate change, 5) use landscape models to support plan decisions, and 6) promote a greater presence of landscape ecologists within agencies that manage large land bases and encourage active involvement in agency planning efforts. Together these actions may improve the defensibility, durability, and sustainability of landscape plan decisions.
","language":"English","publisher":"Springer","doi":"10.1007/s40823-018-0029-5","usgsCitation":"Trammel, E.J., Carter, S.K., Haby, T.S., and Taylor, J.J., 2018, Evidence and opportunities for integrating landscape ecology into natural resource planning across multiple-use landscapes: Current Landscape Ecology Reports, v. 3, no. 1, p. 1-11, https://doi.org/10.1007/s40823-018-0029-5.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-086644","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":351523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-16","publicationStatus":"PW","scienceBaseUri":"5afee731e4b0da30c1bfc1a0","contributors":{"authors":[{"text":"Trammel, E. Jamie","contributorId":202408,"corporation":false,"usgs":false,"family":"Trammel","given":"E.","email":"","middleInitial":"Jamie","affiliations":[{"id":36420,"text":"University of Alaska - Anchorage","active":true,"usgs":false}],"preferred":false,"id":728339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":728338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haby, Travis S. 0000-0003-2204-9967","orcid":"https://orcid.org/0000-0003-2204-9967","contributorId":138831,"corporation":false,"usgs":false,"family":"Haby","given":"Travis","email":"","middleInitial":"S.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":728340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Jason J.","contributorId":202410,"corporation":false,"usgs":false,"family":"Taylor","given":"Jason","email":"","middleInitial":"J.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":728341,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195389,"text":"70195389 - 2018 - Iterative near-term ecological forecasting: Needs, opportunities, and challenges","interactions":[],"lastModifiedDate":"2020-09-01T14:24:32.599572","indexId":"70195389","displayToPublicDate":"2018-02-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Iterative near-term ecological forecasting: Needs, opportunities, and challenges","docAbstract":"Two foundational questions about sustainability are “How are ecosystems and the services they provide going to change in the future?” and “How do human decisions affect these trajectories?” Answering these questions requires an ability to forecast ecological processes. Unfortunately, most ecological forecasts focus on centennial-scale climate responses, therefore neither meeting the needs of near-term (daily to decadal) environmental decision-making nor allowing comparison of specific, quantitative predictions to new observational data, one of the strongest tests of scientific theory. Near-term forecasts provide the opportunity to iteratively cycle between performing analyses and updating predictions in light of new evidence. This iterative process of gaining feedback, building experience, and correcting models and methods is critical for improving forecasts. Iterative, near-term forecasting will accelerate ecological research, make it more relevant to society, and inform sustainable decision-making under high uncertainty and adaptive management. Here, we identify the immediate scientific and societal needs, opportunities, and challenges for iterative near-term ecological forecasting. Over the past decade, data volume, variety, and accessibility have greatly increased, but challenges remain in interoperability, latency, and uncertainty quantification. Similarly, ecologists have made considerable advances in applying computational, informatic, and statistical methods, but opportunities exist for improving forecast-specific theory, methods, and cyberinfrastructure. Effective forecasting will also require changes in scientific training, culture, and institutions. The need to start forecasting is now; the time for making ecology more predictive is here, and learning by doing is the fastest route to drive the science forward.
","language":"English","publisher":"PNAS","doi":"10.1073/pnas.1710231115","usgsCitation":"Dietze, M., Fox, A., Beck-Johnson, L., Betancourt, J.L., Hooten, M., Jarnevich, C.S., Keitt, T.H., Kenney, M.A., Laney, C.M., Larsen, L., Loescher, H.W., Lunch, C.K., Pijanowski, B., Randerson, J.T., Read, E., Tredennick, A.T., Vargas, R., Weathers, K.C., and White, E.P., 2018, Iterative near-term ecological forecasting: Needs, opportunities, and challenges: Proceedings of the National Academy of Sciences of the United States of America, v. 115, no. 7, p. 1424-1432, https://doi.org/10.1073/pnas.1710231115.","productDescription":"9 p.","startPage":"1424","endPage":"1432","ipdsId":"IP-087870","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":469004,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1710231115","text":"External Repository"},{"id":351515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-30","publicationStatus":"PW","scienceBaseUri":"5afee730e4b0da30c1bfc19e","contributors":{"authors":[{"text":"Dietze, Mike","contributorId":190102,"corporation":false,"usgs":false,"family":"Dietze","given":"Mike","email":"","affiliations":[],"preferred":false,"id":728347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fox, Andrew","contributorId":190103,"corporation":false,"usgs":false,"family":"Fox","given":"Andrew","affiliations":[],"preferred":false,"id":728348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beck-Johnson, Lindsay","contributorId":202412,"corporation":false,"usgs":false,"family":"Beck-Johnson","given":"Lindsay","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":728349,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":728346,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":728350,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":728351,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Keitt, Timothy H.","contributorId":202413,"corporation":false,"usgs":false,"family":"Keitt","given":"Timothy","email":"","middleInitial":"H.","affiliations":[{"id":36422,"text":"University of Texas","active":true,"usgs":false}],"preferred":false,"id":728352,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kenney, Melissa A.","contributorId":202414,"corporation":false,"usgs":false,"family":"Kenney","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":728353,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Laney, Christine M.","contributorId":202415,"corporation":false,"usgs":false,"family":"Laney","given":"Christine","email":"","middleInitial":"M.","affiliations":[{"id":36423,"text":"Battelle","active":true,"usgs":false}],"preferred":false,"id":728354,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Larsen, Laurel G.","contributorId":191391,"corporation":false,"usgs":false,"family":"Larsen","given":"Laurel G.","affiliations":[],"preferred":false,"id":728355,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Loescher, Henry W.","contributorId":146136,"corporation":false,"usgs":false,"family":"Loescher","given":"Henry","email":"","middleInitial":"W.","affiliations":[{"id":16596,"text":"National Ecological Observatory Network Inc and Institute of Alpine and Arctic Research, University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":728356,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lunch, Claire K.","contributorId":202416,"corporation":false,"usgs":false,"family":"Lunch","given":"Claire","email":"","middleInitial":"K.","affiliations":[{"id":36423,"text":"Battelle","active":true,"usgs":false}],"preferred":false,"id":728357,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Pijanowski, Bryan","contributorId":190108,"corporation":false,"usgs":false,"family":"Pijanowski","given":"Bryan","affiliations":[],"preferred":false,"id":728358,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Randerson, James T.","contributorId":190109,"corporation":false,"usgs":false,"family":"Randerson","given":"James","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":728359,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Read, Emily 0000-0002-9617-9433 eread@usgs.gov","orcid":"https://orcid.org/0000-0002-9617-9433","contributorId":190110,"corporation":false,"usgs":true,"family":"Read","given":"Emily","email":"eread@usgs.gov","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":728360,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Tredennick, Andrew T.","contributorId":152688,"corporation":false,"usgs":false,"family":"Tredennick","given":"Andrew","email":"","middleInitial":"T.","affiliations":[{"id":18962,"text":"Dept. of Wildland Resources and the Ecology Center, Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":728361,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Vargas, Rodrigo","contributorId":172036,"corporation":false,"usgs":false,"family":"Vargas","given":"Rodrigo","affiliations":[],"preferred":false,"id":728362,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Weathers, Kathleen C.","contributorId":202417,"corporation":false,"usgs":false,"family":"Weathers","given":"Kathleen","email":"","middleInitial":"C.","affiliations":[{"id":36424,"text":"Cary Institute of Ecosystems Studies","active":true,"usgs":false}],"preferred":false,"id":728363,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"White, Ethan P.","contributorId":190112,"corporation":false,"usgs":false,"family":"White","given":"Ethan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":728364,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70195365,"text":"fs20173092 - 2018 - Assessment of undiscovered oil and gas resources in the North-Central Montana Province, 2017","interactions":[],"lastModifiedDate":"2018-06-06T13:05:26","indexId":"fs20173092","displayToPublicDate":"2018-02-12T13:25:00","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":"2017-3092","title":"Assessment of undiscovered oil and gas resources in the North-Central Montana Province, 2017","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean undiscovered, technically recoverable resources of 55 million barrels of oil and 846 billion cubic feet of gas in the North-Central Montana Province.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173092","usgsCitation":"Schenk, C.J., Mercier, T.J., Brownfield, M.E., Tennyson, M.E., Woodall, C.A., Le, P.A., Klett, T.R., Gaswirth, S.B., Finn, T.M., Pitman, J.K., Marra, K.R., and Leathers-Miller, H.M., 2018, Assessment of undiscovered oil and gas resources in the North-Central Montana Province, 2017: U.S. Geological Survey Fact Sheet 2017–3092, 4 p., https://doi.org/10.3133/fs20173092.","productDescription":"4 p.","onlineOnly":"N","ipdsId":"IP-090424","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":351440,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2013/3013","text":"Fact Sheet 2013–3013:","linkHelpText":"Assessment of Undiscovered Oil Resources in the Bakken and Three Forks Formations, Williston Basin Province, Montana, North Dakota, and South Dakota, 2013"},{"id":351439,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20173032","text":"Fact Sheet 2017–3032: ","linkHelpText":"Assessment of Undiscovered Continuous Oil and Gas Resources in the Heath Formation, Central Montana and Western North Dakota, 2016"},{"id":351438,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3092/fs20173092.pdf","text":"Report","size":"2.54 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3092"},{"id":351437,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3092/coverthb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"North-Central Montana Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113,\n 45.5\n ],\n [\n -104,\n 45.5\n ],\n [\n -104,\n 49\n ],\n [\n -113,\n 49\n ],\n [\n -113,\n 45.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046