Reductions in sulfur emissions have initiated chemical recovery of surface waters impacted by acidic deposition in the Adirondack region of New York State. However, acidified streams remain common in the region, which limits recovery of brook trout (Salvelinus fontinalis) populations. To investigate liming as a method to accelerate recovery of brook trout, the channels of two acidified streams were limed annually from 2012 to 2015, and an entire watershed of a third acidified tributary was limed by helicopter in 2013. Stream flow, water chemistry, and density of young-of-year (YOY) brook trout were measured in limed streams, an untreated acidified stream, and a buffered reference stream. Lime additions increased pH and acid-neutralizing capacity and decreased inorganic monomeric aluminum concentrations to less than 2.0 μmol/L, the minimum concentration at which in situ brook trout mortality has been documented. However, of the two channel-limed streams, only stream T8 showed a significant response (P < 0.01) in YOY density, increasing from a mean of 0.4 fish/m2 before liming to 2.7 fish/m2 after liming. No YOY brook trout response was observed in the stream within the limed watershed. Groundwater inputs to streams were identified by relative differences in temperature and concentrations of silica and sodium. YOY brook trout densities increased only in the channel-limed stream (T8) with suitable groundwater inputs for fall spawning and a summer nursery. Results suggest that targeted liming of acidified streams with the necessary groundwater habitat could be beneficial in accelerating recovery of brook trout populations.
","language":"English","publisher":"Springer","doi":"10.1007/s11270-019-4186-x","usgsCitation":"Josephson, D.C., Lawrence, G.B., George, S.D., Siemion, J., Baldigo, B.P., and Kraft, C.E., 2019, Response of water chemistry and young-of-year brook trout to channel and watershed liming in streams showing lagging recovery from acidic deposition: Water, Air, & Soil Pollution, v. 230, no. 7, 144; 15 p., https://doi.org/10.1007/s11270-019-4186-x.","productDescription":"144; 15 p.","ipdsId":"IP-090819","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":364895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Honnedaga Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.8798942565918,\n 43.50398979639134\n ],\n [\n -74.77157592773438,\n 43.50398979639134\n ],\n [\n -74.77157592773438,\n 43.54008705264584\n ],\n [\n -74.8798942565918,\n 43.54008705264584\n ],\n [\n -74.8798942565918,\n 43.50398979639134\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"230","issue":"7","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Josephson, Daniel C","contributorId":216430,"corporation":false,"usgs":false,"family":"Josephson","given":"Daniel","email":"","middleInitial":"C","affiliations":[{"id":39417,"text":"Research Associate, Cornell University's Little Moose Station, Old Forge NY","active":true,"usgs":false}],"preferred":false,"id":764747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Siemion, Jason 0000-0001-5635-6469 jsiemion@usgs.gov","orcid":"https://orcid.org/0000-0001-5635-6469","contributorId":127562,"corporation":false,"usgs":true,"family":"Siemion","given":"Jason","email":"jsiemion@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764749,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764750,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kraft, Clifford E.","contributorId":208499,"corporation":false,"usgs":false,"family":"Kraft","given":"Clifford","email":"","middleInitial":"E.","affiliations":[{"id":37811,"text":"Department of Natural Resources, Fernow Hall, Cornell University, Ithaca, NY","active":true,"usgs":false}],"preferred":false,"id":764751,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203437,"text":"sir20195043 - 2019 - Summary of climatic, geographic, geologic, and available hydrologic data and identification of data gaps for the Black Bear Creek watershed of the Pawnee Nation Tribal Jurisdictional Area, Oklahoma","interactions":[],"lastModifiedDate":"2019-06-18T14:45:48","indexId":"sir20195043","displayToPublicDate":"2019-06-18T10:34:13","publicationYear":"2019","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":"2019-5043","displayTitle":"Summary of Climatic, Geographic, Geologic, and Available Hydrologic Data and Identification of Data Gaps for the Black Bear Creek Watershed of the Pawnee Nation Tribal Jurisdictional Area, Oklahoma","title":"Summary of climatic, geographic, geologic, and available hydrologic data and identification of data gaps for the Black Bear Creek watershed of the Pawnee Nation Tribal Jurisdictional Area, Oklahoma","docAbstract":"The Pawnee Nation is compiling a comprehensive water-management plan for the Pawnee Nation Tribal Jurisdictional Area in north-central Oklahoma. One of the first steps needed in preparing such a plan is a summary and analysis of available hydrologic data and reports that have been published for the area. In phase I of a three-phase, watershed-based approach to summary and analysis of water resources of the Pawnee Nation, the U.S. Geological Survey, in cooperation with the Pawnee Nation and Bureau of Indian Affairs, conducted a literature search and data analysis for the Black Bear Creek watershed within the Pawnee Nation Tribal Jurisdictional Area, referred to herein as the “Black Bear Creek study area.” This report summarizes the available data for the Black Bear Creek study area.
Climatic, geographic, geologic, water-use, and hydrologic data from previously published reports or databases were collected and analyzed for this report. Because of the limited amount of groundwater-quality data for the study area, a field collection of groundwater levels and water samples was conducted. Sixteen wells were identified, and groundwater levels were measured at each well. Eight wells were sampled, and water properties, major ions, and nutrients were measured.
Overall, there are few long-term monitoring stations to help determine trends of surface-water quality, groundwater quality, and groundwater levels across the study area. Establishing and maintaining long-term streamflow, surface-water-quality, groundwater-level, and groundwater-quality monitoring sites would greatly increase the understanding of the water resources in the Black Bear Creek study area. Additionally, water-use estimates would be greatly improved by metering groundwater withdrawals. Establishing hydrologic and water-quality trends and having improved estimates of water use can aid decision makers in the stewardship of the water resources in this area.
This report can aid the Pawnee Nation in prioritization of future projects and serve as a background document for the development of a jurisdiction-wide comprehensive water-management plan.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20195043","collaboration":"Prepared in cooperation with the Pawnee Nation and the Bureau of Indian Affairs","usgsCitation":"Varonka, M.S., 2019, Summary of climatic, geographic, geologic, and available hydrologic data and identification of data gaps for the Black Bear Creek watershed of the Pawnee Nation Tribal Jurisdictional Area, Oklahoma: U.S. Geological Survey Scientific Investigations Report 2019–5043, 39 p., https://doi.org/10.3133/sir20195043.","productDescription":"ix, 39 p.","numberOfPages":"53","onlineOnly":"N","ipdsId":"IP-105182","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":364751,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5043/coverthb.jpg"},{"id":364752,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5043/sir20195043.pdf","text":"Report","size":"4.60 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5043"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Pawnee National Tribal Jurisdictional Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.0751953125,\n 36.03133177633187\n ],\n [\n -96.39404296875,\n 36.03133177633187\n ],\n [\n -96.39404296875,\n 36.51405119943165\n ],\n [\n -97.0751953125,\n 36.51405119943165\n ],\n [\n -97.0751953125,\n 36.03133177633187\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Oklahoma Water Science Center
U.S. Geological Survey
202 NW 66th Street, Building 7
Oklahoma City, OK 73116
Many plants rely on animals for seed dispersal, but are all individuals equally effective at dispersing seeds? If not, then the loss of certain individual dispersers from populations could have cascade effects on ecosystems. Despite the importance of seed dispersal for forest ecosystems, variation among individual dispersers and whether land‐use change interferes with this process remains untested. Through a large‐scale field experiment conducted on small mammal seed dispersers, we show that an individual's personality affects its choice of seeds, as well as how distant and where seeds are cached. We also show that anthropogenic habitat modifications shift the distribution of personalities within a population, by increasing the proportion of bold, active, and anxious individuals and in‐turn affecting the potential survival and dispersal of seeds. We demonstrate that preserving diverse personality types within a population is critical for maintaining the key ecosystem function of seed dispersal.
Ecological distance-based spatial capture–recapture models (SCR) are a promising approach for simultaneously estimating animal density and connectivity, both of which affect spatial population processes and ultimately species persistence. We explored how SCR models can be integrated into reserve-design frameworks that explicitly acknowledge both the spatial distribution of individuals and their space use resulting from landscape structure. We formulated the design of wildlife reserves as a budget-constrained optimization problem and conducted a simulation to explore 3 different SCR-informed optimization objectives that prioritized different conservation goals by maximizing the number of protected individuals, reserve connectivity, and density-weighted connectivity. We also studied the effect on our 3 objectives of enforcing that the space-use requirements of individuals be met by the reserve for individuals to be considered conserved (referred to as home-range constraints). Maximizing local population density resulted in fragmented reserves that would likely not aid long-term population persistence, and maximizing the connectivity objective yielded reserves that protected the fewest individuals. However, maximizing density-weighted connectivity or preemptively imposing home-range constraints on reserve design yielded reserves of largely spatially compact sets of parcels covering high-density areas in the landscape with high functional connectivity between them. Our results quantify the extent to which reserve design is constrained by individual home-range requirements and highlight that accounting for individual space use in the objective and constraints can help in the design of reserves that balance abundance and connectivity in a biologically relevant manner.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.13369","usgsCitation":"Gupta, A., Dilkina, B., Morin, D., Fuller, A.K., Royle, A., Sutherland, C., and Gomes, C., 2019, Reserve design to optimize functional connectivity and animal density: Conservation Biology, v. 35, no. 5, p. 1023-1034, https://doi.org/10.1111/cobi.13369.","productDescription":"12 p.","startPage":"1023","endPage":"1034","ipdsId":"IP-102003","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467525,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.13369","text":"Publisher Index Page"},{"id":388399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"5","noUsgsAuthors":false,"publicationDate":"2019-07-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Gupta, Amrita 0000-0003-2643-5865","orcid":"https://orcid.org/0000-0003-2643-5865","contributorId":264600,"corporation":false,"usgs":false,"family":"Gupta","given":"Amrita","email":"","affiliations":[{"id":54512,"text":"Georgia Institute of Techniology","active":true,"usgs":false}],"preferred":false,"id":821726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dilkina, Bistra 0000-0002-6784-473X","orcid":"https://orcid.org/0000-0002-6784-473X","contributorId":264601,"corporation":false,"usgs":false,"family":"Dilkina","given":"Bistra","email":"","affiliations":[{"id":27526,"text":"Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":821727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morin, Dana","contributorId":264602,"corporation":false,"usgs":false,"family":"Morin","given":"Dana","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":821728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":821725,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":821729,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sutherland, Chris","contributorId":264603,"corporation":false,"usgs":false,"family":"Sutherland","given":"Chris","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":821730,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gomes, Carla","contributorId":264604,"corporation":false,"usgs":false,"family":"Gomes","given":"Carla","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":821731,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70203909,"text":"70203909 - 2019 - Spatial patterns of meadow sensitivities to interannual climate variability in the Sierra Nevada","interactions":[],"lastModifiedDate":"2019-10-28T09:55:47","indexId":"70203909","displayToPublicDate":"2019-06-17T15:37:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial patterns of meadow sensitivities to interannual climate variability in the Sierra Nevada","docAbstract":"Conservation of montane meadows is a high priority for land and water managers given their critical role in buffering the effects of climate variability and their vulnerability to increasing temperatures and evaporative demands. Recent advances in cloud computing have provided new opportunities to examine ecological responses to climate variability over the past few decades, and at large spatial scales. In this study we characterized the sensitivities (magnitude and direction of the slope) of meadow vegetation responses to interannual variations in climate. We calculated sensitivity as the regression slope between a 35-year (1985-2016) time series of Landsat-derived vegetation indices characterizing late-season vegetation vigor and water balance variables from the Basin Characterization Model. We identified April 1 snowpack as the climate variable the majority of meadows were most sensitive to. We assessed how vegetation sensitivities to snowpack varied with hydrogeomorphic context (e.g., climate, geology, soils, watershed geometry and land cover) across the Sierra Nevada mountain range using factor analysis to reduce the dimensionality of the hydrogeomorphic data, and multiple linear regression to model sensitivity responses. We found that meadow sensitivities to snowpack varied with long-term average meadow climate, indicators of watershed subsurface water storage capacity, and indicators of meadow vegetation composition. Alpine and sub-alpine meadows with high average annual precipitation, but limited catchment subsurface storage exhibited the largest sensitivities. Our results provide a novel regional perspective on spatial patterns of meadow sensitivities to climate variability and the landscape-scale hydrogeomorphic factors that influence late-season water availability in meadow ecosystems in the Sierra Nevada.","language":"English","publisher":"Wiley","doi":"10.1002/eco.2128","usgsCitation":"Albano, C.M., McClure, M.L., Gross, S.E., Kitlasten, W., Soulard, C., Charles Morton, and Huntington, J., 2019, Spatial patterns of meadow sensitivities to interannual climate variability in the Sierra Nevada: Ecohydrology, v. 12, no. 7, e2128, 20 p., https://doi.org/10.1002/eco.2128.","productDescription":"e2128, 20 p.","ipdsId":"IP-103662","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":467526,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eco.2128","text":"Publisher Index Page"},{"id":364849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364848,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/abs/10.1002/eco.2128"}],"country":"United States","otherGeospatial":"Sierra Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122,\n 37.5\n ],\n [\n -119.5,\n 37.5\n ],\n [\n -119.5,\n 40\n ],\n [\n -122,\n 40\n ],\n [\n -122,\n 37.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Albano, Christine M.","contributorId":182427,"corporation":false,"usgs":false,"family":"Albano","given":"Christine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":764705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McClure, Meredith L.","contributorId":216395,"corporation":false,"usgs":false,"family":"McClure","given":"Meredith","email":"","middleInitial":"L.","affiliations":[{"id":13470,"text":"Conservation Science Partners","active":true,"usgs":false}],"preferred":false,"id":764706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gross, Shana E.","contributorId":216396,"corporation":false,"usgs":false,"family":"Gross","given":"Shana","email":"","middleInitial":"E.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":764707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kitlasten, Wesley","contributorId":216397,"corporation":false,"usgs":true,"family":"Kitlasten","given":"Wesley","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764708,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soulard, Christopher 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":216394,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":764704,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Charles Morton","contributorId":169457,"corporation":false,"usgs":false,"family":"Charles Morton","affiliations":[{"id":25514,"text":"UNR Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":764709,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huntington, Justin","contributorId":169456,"corporation":false,"usgs":false,"family":"Huntington","given":"Justin","email":"","affiliations":[{"id":25514,"text":"UNR Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":764710,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70204213,"text":"70204213 - 2019 - Source-dependent amplification of earthquake ground motions in deep sedimentary basins","interactions":[],"lastModifiedDate":"2019-07-12T15:35:15","indexId":"70204213","displayToPublicDate":"2019-06-17T15:33:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Source-dependent amplification of earthquake ground motions in deep sedimentary basins","docAbstract":"Deep sedimentary basins amplify long-period shaking from seismic waves, increasing the seismic hazard for cities within such basins. We perform 3-D simulations of point source earthquakes distributed around the Seattle and Tacoma basins in Washington State, to examine the dependence of basin amplification on source azimuth, depth, and earthquake type. For periods between 1-10 s, the pattern of amplification is spatially heterogeneous and differs considerably with the source-to-site azimuth. For close-in earthquakes, the greatest basin amplification occurs towards the far side of the basin and ground motions from crustal earthquakes experience greater amplification than those from more vertically-incident, deeper intraplate earthquakes. Love and Rayleigh waves form similar spatial patterns for a given source location, although the magnitude of amplification varies. The source dependence of basin amplification is an important factor for seismic hazard assessment, both in the Seattle and Tacoma basins, and by extension for deep sedimentary basins worldwide.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GL082474","usgsCitation":"Wirth, E.A., Vidale, J.E., Frankel, A.D., and Pratt, T.L., 2019, Source-dependent amplification of earthquake ground motions in deep sedimentary basins: Geophysical Research Letters, v. 46, no. 12, p. 6443-6450, https://doi.org/10.1029/2019GL082474.","productDescription":"8 p.","startPage":"6443","endPage":"6450","ipdsId":"IP-102754","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":365527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"46","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Wirth, Erin A. 0000-0002-8592-4442","orcid":"https://orcid.org/0000-0002-8592-4442","contributorId":207853,"corporation":false,"usgs":true,"family":"Wirth","given":"Erin","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":766023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vidale, John E.","contributorId":197866,"corporation":false,"usgs":false,"family":"Vidale","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":766024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frankel, Arthur D. 0000-0001-9119-6106 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compendium","interactions":[{"subject":{"id":70203709,"text":"cir1455 - 2019 - 2019 Joint Agency Commercial Imagery Evaluation—Land remote sensing satellite compendium","indexId":"cir1455","publicationYear":"2019","noYear":false,"displayTitle":"2019 Joint Agency Commercial Imagery Evaluation—Land Remote Sensing Satellite Compendium","title":"2019 Joint Agency Commercial Imagery Evaluation—Land remote sensing satellite compendium"},"predicate":"SUPERSEDED_BY","object":{"id":70212975,"text":"cir1468 - 2020 - 2020 Joint Agency Commercial Imagery Evaluation—Remote sensing satellite compendium","indexId":"cir1468","publicationYear":"2020","noYear":false,"title":"2020 Joint Agency Commercial Imagery Evaluation—Remote sensing satellite compendium"},"id":1}],"supersededBy":{"id":70212975,"text":"cir1468 - 2020 - 2020 Joint Agency Commercial Imagery Evaluation—Remote sensing satellite compendium","indexId":"cir1468","publicationYear":"2020","noYear":false,"title":"2020 Joint Agency Commercial Imagery Evaluation—Remote sensing satellite compendium"},"lastModifiedDate":"2020-09-03T19:27:15.878416","indexId":"cir1455","displayToPublicDate":"2019-06-17T15:27:41","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1455","displayTitle":"2019 Joint Agency Commercial Imagery Evaluation—Land Remote Sensing Satellite Compendium","title":"2019 Joint Agency Commercial Imagery Evaluation—Land remote sensing satellite compendium","docAbstract":"The Joint Agency Commercial Imagery Evaluation (JACIE) is a collaboration between five Federal agencies that are major users and producers of satellite land remote sensing data. In recent years, the JACIE group has observed ever-increasing numbers of remote sensing satellites being launched. This rapidly growing wave of new systems creates a need for a single reference for land remote sensing satellites that provides basic system specifications and linkage to any JACIE assessment that may have been completed on existing systems. This volume has been assembled by the Requirements, Capabilities, and Analysis for Earth Observation Project under the U.S. Geological Survey National Land Imaging Program as a contribution to the JACIE community. This is the first edition of the JACIE compendium, which is planned to be updated and released annually.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1455","collaboration":"In collaboration with Joint Agency Commercial Imagery Evaluation","usgsCitation":"Christopherson, J.B., Ramaseri Chandra, S.N., and Quanbeck, J.Q., 2019, 2019 Joint Agency Commercial Imagery Evaluation—Land remote sensing satellite compendium: U.S. Geological Survey Circular 1455, 191 p., https://doi.org/10.3133/cir1455.","productDescription":"xi, 191 p.","numberOfPages":"208","onlineOnly":"N","ipdsId":"IP-106384","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":364745,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1455/cir1455.pdf","text":"Report","size":"18.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1455"},{"id":364744,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1455/coverthb.jpg"}],"contact":"Director, Earth Resources Observation and Science Center (EROS)
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
Hurricane Michael made landfall near Mexico Beach and Tyndall Air Force Base in the Florida Panhandle, with maximum sustained winds over 160 miles per hour, on October 10, 2018. The maximum recorded storm tide was 15.55 feet above the North American Vertical Datum of 1988 (NAVD 88). The elevation of the maximum high-water mark, found in Port St. Joe, Florida, exceeded 20 feet above NAVD 88. The storm tide and winds destroyed much of the tourist town of Mexico Beach and caused extensive damage to the surrounding communities, including Tyndall Air Force Base, Panama City Beach, Port St. Joe, and Cape San Blas, Fla.
The U.S. Geological Survey (USGS), in cooperation with Federal Emergency Management Agency and Florida Division of Emergency Management, deployed a temporary monitoring network of water-level and barometric pressure sensors at 34 sites along the northwest coast of Florida to record the timing, areal extent, and magnitude of hurricane storm tide generated by Hurricane Michael. A total of 522 high-water marks were recovered and surveyed from 331 sites from Seaside, Fla. to Cedar Key, Fla. The USGS, in cooperation with Federal Emergency Management Agency and Florida Division of Emergency Management, displays real-time water-level data from long-term USGS streamflow stations, rapid deployment gages and National Oceanic and Atmospheric Administration tide-gage stations, updated hourly (or, in some cases, more frequently), through satellite telemetry, on the USGS Flood Event Viewer (https://stn.wim.usgs.gov/FEV/#Michael2018).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191059","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency and Florida Division of Emergency Management","usgsCitation":"Byrne, M.J., Sr., 2019, Monitoring storm tide from Hurricane Michael along the northwest coast of Florida, October 2018: U.S. Geological Survey Open-File Report 2019–1059, 10 p., https://doi.org/10.3133/ofr20191059.","productDescription":"vi, 10 p.","numberOfPages":"20","onlineOnly":"N","ipdsId":"IP-104232","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":364728,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1059/coverthb.jpg"},{"id":364729,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1059/ofr20191059.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1059"},{"id":399411,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_108709.htm"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.98974609375,\n 29.11377539511439\n ],\n [\n -82.96875,\n 29.11377539511439\n ],\n [\n -82.96875,\n 30.789036751261136\n ],\n [\n -86.98974609375,\n 30.789036751261136\n ],\n [\n -86.98974609375,\n 29.11377539511439\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
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Lutz, FL 33559
The apparent failure of ecosystems to recover from increasingly widespread disturbance is a global concern. Despite growing focus on factors inhibiting resilience and restoration, we still know very little about how demographic and population processes influence recovery. Using inverse and forward demographic modelling of 531 post‐fire sagebrush populations across the western US, we show that demographic processes during recovery from seeds do not initially lead to population growth but rather to years of population decline, low density, and risk of extirpation after disturbance and restoration, even at sites with potential to support long‐term, stable populations. Changes in population structure, and resulting transient population dynamics, lead to a > 50% decline in population growth rate after disturbance and significant reductions in population density. Our results indicate that demographic processes influence the recovery of ecosystems from disturbance and that demographic analyses can be used by resource managers to anticipate ecological transformation risk.
Sediment cores taken near extant springs along the western margin of Soda Lake playa, as well as from the playa center, reveal dramatic hydrologic changes that occurred in the central Mojave Desert during the late Quaternary. Results of stratigraphic, chronologic, physical, chemical, and microfossil analyses of seven cores, ranging in length from 5 to 23 m, help refine the timing and character of the final stages of pluvial Lake Mojave during the late Pleistocene and define distinct periods of wetland development in the early and late Holocene. Evidence shows that an incipient lake occupied the central Soda Lake basin by at least 25.0 ka (ka = thousands of calibrated 14C years before present), and a fully developed Lake Mojave was present between 20.5 and 12.8 ka, before receding and ultimately yielding to playa conditions by 11.0 ka. Organic-rich “black mats” appear in several cores along the playa margin between 10.7 and 9.0 ka, suggesting that spring-fed wetlands persisted in this area long after the lake had regressed. The basin remained relatively dry throughout most of the Holocene until wetland ecosystems expanded along the margins between 0.73 and 0.18 ka, coincident with part of the Medieval Climate Anomaly and Little Ice Age. Overall, our results demonstrate that buried sediments surrounding extant and extinct springs can be used to reconstruct past hydrologic conditions in desert environments on a variety of spatial and temporal scales, and provide important baseline information for effective management of limited desert resources.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2019.05.021","usgsCitation":"Honke, J.S., Pigati, J.S., Wilson, J., Bright, J., Goldstein, H., Skipp, G.L., Reheis, M., and Havens, J., 2019, Late Quaternary paleohydrology of desert wetlands and pluvial lakes in the Soda Lake basin, central Mojave Desert, California (USA): Quaternary Science Reviews, v. 216, p. 89-106, https://doi.org/10.1016/j.quascirev.2019.05.021.","productDescription":"18 p.","startPage":"89","endPage":"106","ipdsId":"IP-102332","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":467527,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2019.05.021","text":"Publisher Index Page"},{"id":366833,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert, Soda Lake Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.19964599609374,\n 35.04798673426734\n ],\n [\n -115.93048095703125,\n 35.04798673426734\n ],\n [\n -115.93048095703125,\n 35.25459097465022\n ],\n [\n -116.19964599609374,\n 35.25459097465022\n ],\n [\n -116.19964599609374,\n 35.04798673426734\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"216","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Honke, Jeffrey S. 0000-0003-4357-9297 jhonke@usgs.gov","orcid":"https://orcid.org/0000-0003-4357-9297","contributorId":1616,"corporation":false,"usgs":true,"family":"Honke","given":"Jeffrey","email":"jhonke@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":764323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":764324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, J.","contributorId":216248,"corporation":false,"usgs":false,"family":"Wilson","given":"J.","affiliations":[],"preferred":false,"id":764325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bright, J.","contributorId":191525,"corporation":false,"usgs":false,"family":"Bright","given":"J.","affiliations":[],"preferred":false,"id":764326,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldstein, H.L.","contributorId":18093,"corporation":false,"usgs":true,"family":"Goldstein","given":"H.L.","email":"","affiliations":[],"preferred":false,"id":764327,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Skipp, Gary L. 0000-0002-9404-0980 gskipp@usgs.gov","orcid":"https://orcid.org/0000-0002-9404-0980","contributorId":2102,"corporation":false,"usgs":true,"family":"Skipp","given":"Gary","email":"gskipp@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":764328,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reheis, M.C. 0000-0002-8359-323X","orcid":"https://orcid.org/0000-0002-8359-323X","contributorId":36128,"corporation":false,"usgs":true,"family":"Reheis","given":"M.C.","affiliations":[],"preferred":false,"id":764329,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Havens, J. C.","contributorId":216249,"corporation":false,"usgs":false,"family":"Havens","given":"J. C.","affiliations":[],"preferred":false,"id":764330,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70204510,"text":"70204510 - 2019 - Concurrent assessment of epidemiological and operational uncertainties for optimal outbreak control: Ebola as a case study","interactions":[],"lastModifiedDate":"2019-07-30T10:57:45","indexId":"70204510","displayToPublicDate":"2019-06-17T10:54:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3173,"text":"Proceedings of the Royal Society B","active":true,"publicationSubtype":{"id":10}},"title":"Concurrent assessment of epidemiological and operational uncertainties for optimal outbreak control: Ebola as a case study","docAbstract":"Determining how to best manage an epidemiological outbreak may be hindered by both epidemiological uncertainty (i.e. about epidemiological processes) and operational uncertainty (i.e. about the effectiveness of candidate interventions). These two uncertainties are rarely addressed concurrently in epidemic studies, impeding decision-making. We present an approach to simultaneously address both sources of uncertainty. Epidemiological uncertainty is represented by a large ensemble of models of the 2014 West African Ebola outbreak. Operational uncertainty about the effectiveness of three classes of intervention is assessed for a wide range of potential effectiveness for each intervention. We ranked each intervention in terms of caseload reduction in each model, initially assuming an unlimited budget. To explore the role of budget limitation, we assessed the influence of three candidate cost functions relating intervention effectiveness and cost for different budget levels. The Value of Information (VoI) to resolve uncertainty is generally high in this study; appropriate information gain could reduce expected caseload by more than 50%. The ranking of interventions is jointly determined by the underlying epidemiological process, the effectiveness of the interventions and the size of the budget available for the program. An epidemiologically effective intervention might not be optimal if its costs outweigh its epidemiological benefit. Under higher budget conditions, resolution of epidemiological uncertainty is most valuable. When budgets are tight, however, operational and epidemiological uncertainty are equally important. Overall, our study demonstrates that significant public health improvements could result from a careful examination of both epidemiological and operational uncertainties within the same modelling structure. This approach can be applied to decision-making for management of other diseases for which multiple models and multiple interventions are available.","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2019.0774","usgsCitation":"Li, S., Ferrari, M.J., Bjornstad, O.N., Runge, M.C., Fonnesbeck, C.J., Tildesley, M.J., Pannell, D., and Shea, K., 2019, Concurrent assessment of epidemiological and operational uncertainties for optimal outbreak control: Ebola as a case study: Proceedings of the Royal Society B, v. 286, no. 1905, Article 20190774, https://doi.org/10.1098/rspb.2019.0774.","productDescription":"Article 20190774","numberOfPages":"10","ipdsId":"IP-101702","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467528,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2019.0774","text":"Publisher Index Page"},{"id":366044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"286","issue":"1905","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Li, Shou-Li","contributorId":193644,"corporation":false,"usgs":false,"family":"Li","given":"Shou-Li","email":"","affiliations":[],"preferred":false,"id":767337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferrari, Matthew J. 0000-0001-5251-8168","orcid":"https://orcid.org/0000-0001-5251-8168","contributorId":216186,"corporation":false,"usgs":false,"family":"Ferrari","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":767338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bjornstad, Ottar N. 0000-0002-1158-3753","orcid":"https://orcid.org/0000-0002-1158-3753","contributorId":217708,"corporation":false,"usgs":false,"family":"Bjornstad","given":"Ottar","email":"","middleInitial":"N.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":767339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":767336,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fonnesbeck, Christopher J","contributorId":216185,"corporation":false,"usgs":false,"family":"Fonnesbeck","given":"Christopher","email":"","middleInitial":"J","affiliations":[{"id":36656,"text":"Vanderbilt University","active":true,"usgs":false}],"preferred":false,"id":767340,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tildesley, Michael J.","contributorId":126971,"corporation":false,"usgs":false,"family":"Tildesley","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6620,"text":"University of Nottingham, School of Biology","active":true,"usgs":false}],"preferred":false,"id":767341,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pannell, David","contributorId":217709,"corporation":false,"usgs":false,"family":"Pannell","given":"David","email":"","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":767342,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shea, Katriona 0000-0002-7607-8248","orcid":"https://orcid.org/0000-0002-7607-8248","contributorId":193646,"corporation":false,"usgs":false,"family":"Shea","given":"Katriona","email":"","affiliations":[],"preferred":false,"id":767343,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70203613,"text":"sir20195046 - 2019 - Evaluation of streambed-sediment metals concentrations in the Spring River Basin, Cherokee County Superfund site, Kansas, 2017","interactions":[],"lastModifiedDate":"2019-06-18T08:47:25","indexId":"sir20195046","displayToPublicDate":"2019-06-17T10:42:00","publicationYear":"2019","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":"2019-5046","displayTitle":"Evaluation of Streambed-Sediment Metals Concentrations in the Spring River Basin, Cherokee County Superfund Site, Kansas, 2017","title":"Evaluation of streambed-sediment metals concentrations in the Spring River Basin, Cherokee County Superfund site, Kansas, 2017","docAbstract":"To evaluate the magnitude of, and change in, mining-related contamination, streambed-sediment samples were collected from 30 sampling sites in the Spring River Basin in the Cherokee County Superfund site, southeast Kansas, in July and August 2017. The Cherokee County Superfund site is part of the Tri-State Mining District, an area that covers parts of Kansas, Missouri, and Oklahoma that was historically mined for lead and zinc. The sampling sites corresponded to 30 sites sampled in 2004 as part of a previous study.
Concentrations of cadmium, lead, and zinc in the 2017 streambed-sediment samples were compared with the 2004 concentrations and with available sediment-quality guidelines. Cadmium concentrations from 2004 and 2017 samples were not compared if both samples had concentrations less than the lower of the sediment-quality guidelines because of poor performance of cadmium replicate-samples analyses at lower concentrations. Streambed-sediment concentrations of cadmium, lead, and zinc in the 2017 samples compared to the 2004 samples were decreased by at least 20 percent at 12, 16, and 16 sites, respectively; increased by at least 20 percent at 2, 5, and 7 sites, respectively; and had less than a 20-percent change at 5, 9, and 7 sites, respectively. In 2017, cadmium, lead, and zinc concentrations exceeded general consensus-based sediment-quality guidelines at 17, 14, and 18 sites, respectively, compared to 19, 17, and 20 sites, respectively, in 2004. In 2017, cadmium, lead, and zinc concentrations exceeded Tri-State Mining District-specific sediment-quality guidelines at 12, 14, and 11 sites, respectively, compared to 16, 16, and 13 sites, respectively, in 2004. The highest 2017 concentrations of cadmium, lead, and zinc were measured at sites along Short Creek near Galena, Kansas.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195046","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Klager, B.J., and Juracek, K.E., 2019, Evaluation of streambed-sediment metals concentrations in the Spring River Basin, Cherokee County Superfund site, Kansas, 2017: U.S. Geological Survey Scientific Investigations Report 2019–5046, 25 p., https://doi.org/10.3133/sir20195046.","productDescription":"Report: vii, 25; 1 Appendix","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-099465","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":364724,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5046/coverthb.jpg"},{"id":364726,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2019/5046/sir20195046_appendix_tables.xlsx","text":"Appendix Tables","size":"74.1 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2019–5046 Appendix Tables"},{"id":364725,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5046/sir20195046.pdf","text":"Report","size":"3.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5046"}],"country":"United States","state":"Kansas","county":"Cherokee county","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.94110107421875,\n 37.00255267215955\n ],\n [\n -94.61837768554688,\n 36.99816565700228\n ],\n [\n -94.61769104003906,\n 37.29672485664319\n ],\n [\n -94.94213104248047,\n 37.29672485664319\n ],\n [\n -94.94110107421875,\n 37.00255267215955\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Kansas Water Science Center
U.S. Geological Survey
1217 Biltmore Drive
Lawrence, KS 66049
The world’s future oil and gas supplies depend on existing reserves and the additions to those reserves that may result, in part, from ongoing exploration and new discoveries. This Circular summarizes available oil and gas exploration data for the world outside the United States and Canada (the study area) through 2015. It updates U.S. Geological Survey Circulars 981, 1096, and 1288 (by D.H. Root, E.D. Attanasi, and R.L. Turner, 1987; E.D. Attanasi and D.H. Root, 1993; and E.D. Attanasi, P.A. Freeman, and J.A. Glovier, 2007). The exploration measures focus on the search for undiscovered conventional oil and gas accumulations.
The goal of this compilation, presentation, and analysis of exploration and discovery data is to identify, at the reconnaissance level, the areas explored for oil and gas and to characterize their degree of exploration maturity. Maps and graphs provide a visual summary of the exploration maturity of an area. The maps include both land and offshore areas. The maps show delineated prospective areas, which are the industry-defined areas of interest in the search for undiscovered conventional oil and gas accumulations. The maps also show explored areas, which are areas where the density of exploration and development drilling rules out new discoveries of large conventional petroleum accumulations.
Whereas the maps show the static state of oil and gas exploration, the dynamic measures of exploration progress are characterized graphically. The graphs show the growth in the delineated prospective and explored areas as a function of wildcat drilling. The relation between the expansion of the delineated prospective area and the rate of wildcat drilling is determined by the siting of the wildcat wells. Additional graphs show the magnitude of discoveries tied to specific delineated prospective areas. These graphs provide a way to evaluate the quality, in terms of discovered oil and gas, of areas identified by the dates when each area became prospective.
From 2006 through 2015, the delineated prospective area within the study area expanded at a rate of about 48,100 square miles per year. This is slightly above the expansion rate of 46,200 square miles per year from 1996 through 2005. From 2006 through 2015, the explored area expanded at a rate of about 12,900 square miles per year, which is somewhat greater than the rate of 11,300 square miles per year for the period from 1996 through 2005. The delineated prospective area established by 1970 accounts for 35 percent of the delineated prospective area established through 2015 but contains 70 percent of the oil and 52 percent of the natural gas discovered through 2015. From 2006 through 2015, offshore discoveries accounted for 71 percent of the oil and 78 percent of the gas discovered in the study area and 40 percent of the offshore wildcat wells were drilled in deep offshore areas (deeper than 200 meters water depth).
The delineated prospective area and explored area calculated with oil and gas wells and fields at depths of at least 10,000 feet are less than half of the respective areas calculated with all oil and gas wells and fields. The discovery histories of most regions indicate that average discovery sizes are generally larger in deeper geologic horizons. To correctly interpret the exploration maturity of a deep horizon, drilling and discovery data must be considered in the context of the geology of the area. Such analyses should be prepared at the level of the petroleum basin or subbasin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1450","collaboration":" ","usgsCitation":"Attanasi, E.D., and Freeman, P.A., 2019, Statistics of petroleum exploration in the world outside the United States and Canada through 2015: U.S. Geological Survey Circular 1450, 237 p., https://doi.org/10.3133/cir1450.","productDescription":"vii, 237 p.","numberOfPages":"237","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-102161","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":364691,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1450/circ1450.pdf","text":"Report","size":"31.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CiRC 1450"},{"id":364690,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1450/coverthb.jpg"}],"contact":"Director, Eastern Energy Resources Science Center
U.S. Geological Survey
Mail Stop 956
12201 Sunrise Valley Drive
Reston, VA 20192
We report the first detection of carbapenemase-producing Escherichia coli in Alaska and in wildlife in the United States. Wild bird (gull) feces sampled at three locations in Southcentral Alaska yielded isolates that harbored plasmid-encoded blaKPC-2 or chromosomally-encoded blaOXA-48, and genes associated with antimicrobial resistance to up to eight antibiotic classes.
","language":"English","publisher":"American society for Microbiology","doi":"10.1128/AAC.00758-19","usgsCitation":"Ahlstrom, C., Ramey, A.M., Woksepp, H., and Bonnedahl, J., 2019, Repeated detection of carbapenemase-producing Escherichia coli in gulls inhabiting Alaska, USA: Antimicrobial Agents and Chemotherapy, v. 63, no. 8, e00758-19, 4 p., https://doi.org/10.1128/AAC.00758-19.","productDescription":"e00758-19, 4 p.","ipdsId":"IP-105113","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":467529,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1128/aac.00758-19","text":"External Repository"},{"id":437418,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9391PBK","text":"USGS data release","linkHelpText":"Sampling, Antimicrobial Resistance Testing, and Genomic Typing of Carbapenemase Producing E. coli in Gulls (Larus spp.) in Alaska, 2016"},{"id":364826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Anchorage","otherGeospatial":"Kenai Penninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -150.6005859375,\n 61.34407840195394\n ],\n [\n -151.76513671875,\n 60.65164736580915\n ],\n [\n -152.138671875,\n 59.24341475839977\n ],\n [\n -151.58935546875,\n 58.88194208135912\n ],\n [\n -149.39208984375,\n 59.66774058164963\n ],\n [\n -147.568359375,\n 60.05387385148492\n ],\n [\n -147.63427734375,\n 60.65164736580915\n ],\n [\n -148.4912109375,\n 61.24910209024154\n ],\n [\n -150.6005859375,\n 61.34407840195394\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"63","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ahlstrom, Christina 0000-0001-5414-8076","orcid":"https://orcid.org/0000-0001-5414-8076","contributorId":214540,"corporation":false,"usgs":true,"family":"Ahlstrom","given":"Christina","email":"","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":764594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":764595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woksepp, Hanna","contributorId":207263,"corporation":false,"usgs":false,"family":"Woksepp","given":"Hanna","email":"","affiliations":[],"preferred":false,"id":764596,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonnedahl, Jonas","contributorId":181800,"corporation":false,"usgs":false,"family":"Bonnedahl","given":"Jonas","email":"","affiliations":[],"preferred":false,"id":764597,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70204410,"text":"70204410 - 2019 - Begging behavior as an honest signal of need and parent-offspring association during the post-fledging dependency period","interactions":[],"lastModifiedDate":"2019-07-23T08:56:39","indexId":"70204410","displayToPublicDate":"2019-06-17T08:55:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Begging behavior as an honest signal of need and parent-offspring association during the post-fledging dependency period","docAbstract":"Honest signaling mechanisms can function to appropriate care to hungry offspring and avoid misdirected care of unrelated offspring. Begging, the behavior by which offspring solicit food and parental care, may be an honest signaling mechanism for need, as well as association of parents and offspring. Roseate terns (Sterna dougallii) exhibit prolonged parental care during the post-breeding staging period, offering an ideal system in which to study begging as an honest signaling mechanism. We conducted focal sampling during two pre-migratory staging seasons (2014 and 2015) at Cape Cod National Seashore, MA to determine whether post-fledging tern begging behavior was an honest signal for need and parent-offspring association. Based on honest signaling theory, we expected begging behavior to be highest during times of high perceived need, and we expected to see a decrease in begging behavior as young terns became increasingly independent of the care-giving parent. Also, we predicted that young terns would be more likely to beg at parents than non-parents. We found that young roseate terns begged at their parents more often than non-parents; however, they did not always beg at parents. Model predictions of begging probability showed a linear relationship between begging and time of day and date of season, such that begging increased with time of day and decreased with date of season, respectively. Our results provide evidence for honest parent-offspring interactions and are inconsistent with parent-offspring conflict theory but suggest that begging may play a complex role in post-fledging parent-offspring interactions.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5279","usgsCitation":"Davis, K.L., Karpanty, S.M., Spendelow, J.A., Cohen, J.B., Althouse, M.A., Parsons, K., and Luttazi, C.F., 2019, Begging behavior as an honest signal of need and parent-offspring association during the post-fledging dependency period: Ecology and Evolution, v. 9, no. 13, p. 7497-7508, https://doi.org/10.1002/ece3.5279.","productDescription":"12 p.","startPage":"7497","endPage":"7508","ipdsId":"IP-102125","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467530,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ece3.5279","text":"External Repository"},{"id":365835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365818,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/full/10.1002/ece3.5279"}],"country":"United States","state":"Massachusetts ","otherGeospatial":"Cape Cod","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.8013916015625,\n 41.17038447781618\n ],\n [\n -69.7137451171875,\n 41.17038447781618\n ],\n [\n -69.7137451171875,\n 42.261049162113856\n ],\n [\n -70.8013916015625,\n 42.261049162113856\n ],\n [\n -70.8013916015625,\n 41.17038447781618\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"13","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Kayla L.","contributorId":177595,"corporation":false,"usgs":false,"family":"Davis","given":"Kayla","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":766757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karpanty, Sarah M.","contributorId":63307,"corporation":false,"usgs":false,"family":"Karpanty","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":766758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spendelow, Jeffrey A. 0000-0001-8167-0898 jspendelow@usgs.gov","orcid":"https://orcid.org/0000-0001-8167-0898","contributorId":4355,"corporation":false,"usgs":true,"family":"Spendelow","given":"Jeffrey","email":"jspendelow@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":766756,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cohen, Jonathan B.","contributorId":211835,"corporation":false,"usgs":false,"family":"Cohen","given":"Jonathan","email":"","middleInitial":"B.","affiliations":[{"id":13404,"text":"SUNY College of Environmental Science & Forestry","active":true,"usgs":false}],"preferred":false,"id":766759,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Althouse, Melissa A.","contributorId":211834,"corporation":false,"usgs":false,"family":"Althouse","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":13404,"text":"SUNY College of Environmental Science & Forestry","active":true,"usgs":false}],"preferred":false,"id":766760,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parsons, Katharine C","contributorId":217435,"corporation":false,"usgs":false,"family":"Parsons","given":"Katharine C","affiliations":[{"id":38328,"text":"Mass Audubon Coastal Waterbird Program","active":true,"usgs":false}],"preferred":false,"id":766761,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Luttazi, Cristin F.","contributorId":177596,"corporation":false,"usgs":false,"family":"Luttazi","given":"Cristin","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":766762,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70206277,"text":"70206277 - 2019 - Migratory strategy explains differences in timing of female reproductive development in seasonally sympatric songbirds.","interactions":[],"lastModifiedDate":"2019-10-29T07:45:35","indexId":"70206277","displayToPublicDate":"2019-06-17T07:44:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Migratory strategy explains differences in timing of female reproductive development in seasonally sympatric songbirds.","docAbstract":"1. Divergent migratory strategies among populations can result in population-level differences in timing of reproduction (allochrony) and local adaptation. However, the mechanisms underlying among-population variation in timing are insufficiently understood, particularly in females. \n\n2. We studied differences in reproductive development and its related mechanisms along the hypothalamic-pituitary-gonadal axis (HPG) in closely related migratory and sedentary (i.e., resident) female dark-eyed juncos (Junco hyemalis) living together in sympatry during early spring. We predicted that residents would be more reproductively developed than migrants. Alternatively, we predicted that females might exhibit similar reproductive development in response to the same environmental cue despite differences in migratory behavior. To compare their degree of reproductive development during seasonal sympatry and the underlying mechanisms of these differences, we collected ovarian and liver tissue in early spring prior to migration, and compared abundance of gene transcripts associated with reproduction using quantitative PCR. We also used stable hydrogen isotopes to infer relative breeding and wintering latitude of migrants. \n\n3. We found more abundant transcripts for luteinizing hormone receptor and aromatase in addition to significantly heavier ovaries in residents than in migrants. Together these results suggest greater sensitivity and response to upstream endocrine stimulation in resident females. Transcript abundance for other receptors associated with reproduction, however, did not differ between populations. When comparing ovarian development within migrants, females with lower hydrogen isotopes (indicating higher breeding latitudes) had smaller ovaries, suggesting that longer-distance migrations may further delay reproductive development. \n\n4. Based on differences in ovary mass and transcript abundance, we conclude that females that differ in migratory strategy also differ in timing of reproductive development. Differences in timing of reproductive development between migrant and resident females could drive reproductive isolation between populations. This study also reveals mechanisms that could drive allochrony and enable us to predict how seasonal organisms will respond to a changing world.","language":"English","publisher":"Wiley","doi":"10.1111/1365-2435.13386","usgsCitation":"Kimmitt, A.A., Hardman, J., Stricker, C.A., and Ketterson, E.D., 2019, Migratory strategy explains differences in timing of female reproductive development in seasonally sympatric songbirds.: Functional Ecology, v. 33, p. 1651-1662, https://doi.org/10.1111/1365-2435.13386.","productDescription":"12 p.","startPage":"1651","endPage":"1662","ipdsId":"IP-103095","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467531,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2435.13386","text":"Publisher Index Page"},{"id":437419,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RL64C8","text":"USGS data release","linkHelpText":"Ovary mass and stable hydrogen isotope data for resident and migratory female dark-eyed juncos"},{"id":368686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Kimmitt, Abigail A","contributorId":220080,"corporation":false,"usgs":false,"family":"Kimmitt","given":"Abigail","email":"","middleInitial":"A","affiliations":[{"id":37145,"text":"Indiana University","active":true,"usgs":false}],"preferred":false,"id":774056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hardman, Jack","contributorId":220081,"corporation":false,"usgs":false,"family":"Hardman","given":"Jack","email":"","affiliations":[{"id":37145,"text":"Indiana University","active":true,"usgs":false}],"preferred":false,"id":774057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":774055,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ketterson, Ellen D.","contributorId":168422,"corporation":false,"usgs":false,"family":"Ketterson","given":"Ellen","email":"","middleInitial":"D.","affiliations":[{"id":12645,"text":"Indiana University - Northwest","active":true,"usgs":false}],"preferred":false,"id":774058,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70205970,"text":"70205970 - 2019 - Evaluating community-level response to management actions across a diverse Hawaiian forest bird community","interactions":[],"lastModifiedDate":"2019-10-14T06:39:56","indexId":"70205970","displayToPublicDate":"2019-06-17T06:38:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating community-level response to management actions across a diverse Hawaiian forest bird community","docAbstract":"Although species‐specific approaches are necessary to understand the dynamics of individual species composing a community, they do not offer a framework for making optimal management decisions at the community level. Here, we present a simple framework for comparing the response of entire communities to multiple management scenarios. Our approach uses a weighted average of standardized species‐specific responses to produce a single integrative measure of the community response and employs mixed‐effect linear models to quantify the increase in the community response due to each management action, or combination of actions. We demonstrate our approach with a simulation study assessing the potential benefits of multiple management actions on the avian community of Hakalau Forest National Wildlife Refuge, Hawaiʻi, which is composed of eight native species with conservation status varying from endangered to least concern. Management actions considered included a reduction of avian malaria transmission risk, reducing rat predation, and increasing forest habitat. We used three different prioritization (weighting) schemes to assess whether the response to management actions differed along a conservation gradient (from endangered to least concern). We also investigated whether future changes in disease distribution as a result of climate change will alter the relationship between management practices and community response. Our community‐level analysis produced three important insights, highlighting the need to consider the response from multiple species to changing threats and management actions. First, increasing the amount of habitat always had the greatest positive impact on the avian community, regardless of the weighting scheme. Second, the community response to management was different under current vs. future conditions, with increased benefit in the future when disease risks were higher. Third, the response to management varied along the conservation gradient. Reducing malaria transmission risk in 2100 had the greatest benefit to endangered species, while increasing forest habitat had the greatest benefit to “least concern” species. However, reducing rat predation appeared to benefit a subset of species based on ecological factors unrelated to rarity, such as nest accessibility. Our approach is widely applicable using experimental, observational, or simulation‐based data, allowing managers to consider the response of all species while weighting their priority levels.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1953","usgsCitation":"Guillaumet, A., and Paxton, E., 2019, Evaluating community-level response to management actions across a diverse Hawaiian forest bird community: Ecological Applications, v. 29, no. 6, p. 1236-1246, https://doi.org/10.1002/eap.1953.","productDescription":"11 p.","startPage":"1236","endPage":"1246","ipdsId":"IP-080124","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":368289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368288,"type":{"id":15,"text":"Index Page"},"url":"https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/eap.1953"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -160.68603515625,\n 18.70869162255995\n ],\n [\n -154.46777343749997,\n 18.70869162255995\n ],\n [\n -154.46777343749997,\n 22.59372606392931\n ],\n [\n -160.68603515625,\n 22.59372606392931\n ],\n [\n -160.68603515625,\n 18.70869162255995\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Guillaumet, Alban","contributorId":150397,"corporation":false,"usgs":false,"family":"Guillaumet","given":"Alban","email":"","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":773117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paxton, Eben H. 0000-0001-5578-7689 epaxton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":438,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben H.","email":"epaxton@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":773116,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70204478,"text":"70204478 - 2019 - Thin-layer sediment addition to an existing salt marsh to combat sea-level rise and improve endangered species habitat in California, USA","interactions":[],"lastModifiedDate":"2019-07-26T11:34:13","indexId":"70204478","displayToPublicDate":"2019-06-16T11:26:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Thin-layer sediment addition to an existing salt marsh to combat sea-level rise and improve endangered species habitat in California, USA","docAbstract":"Current tidal marsh elevations and their accretion rates are important predictors of vulnerability to sea-level rise. When tidal marshes are at risk, adaptation measures, such as sediment addition to increase elevations, can be implemented to prevent degradation and loss. In 2016, wildlife managers prescribed a thin-layer sediment addition of locally sourced dredged material from Anaheim Bay to mitigate plausible future impacts of sea-level rise to Seal Beach National Wildlife Refuge, an urbanized, subsiding, sediment limited, and low elevation tidal marsh in southern California, USA. In this study, our objectives were to determine how suspended sediment concentrations (SSC) and fluxes associated with sediment application affected an adjacent eelgrass bed and a more distant deep tidal channel at different time periods throughout the project and how sediment application affected tidal marsh elevation. Due to the sediment addition the tidal marsh elevation increased by 25.4 cm across 3.06 ha. Mean SSC levels at the eelgrass site increased from 4 mg/L during pre-augmentation to 16 mg/L during sediment application. SSC levels also increased up to 40 mg/L with the installation of sediment barriers. Winter storms during construction also had an influence on SSC, with an extreme storm event increasing SSC from 9 mg/L pre-storm levels to 16 mg/L during the storm. However, SSC at the deep site remained constant during all time periods with a mean of 7 mg/L. Our results show that little to zero sediment was exported out of Anaheim Bay during the study period, illustrating that any impacts were localized to the application area. These findings suggest that although long-range export of applied dredge material is unlikely from future thin-layer sediment application at this site, adjacent habitats could experience impacts if erosion control measures are not implemented effectively. Future projects will benefit from similar pre- and post-addition monitoring to establish the long-term efficacy of sea-level rise adaptation measures.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2019.05.011","usgsCitation":"Thorne, K., Freeman, C.M., Rosencranz, J., Ganju, N., and Guntenspergen, G.R., 2019, Thin-layer sediment addition to an existing salt marsh to combat sea-level rise and improve endangered species habitat in California, USA: Ecological Engineering, v. 136, p. 197-208, https://doi.org/10.1016/j.ecoleng.2019.05.011.","productDescription":"12 p.","startPage":"197","endPage":"208","ipdsId":"IP-108368","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488816,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2019.05.011","text":"Publisher Index Page"},{"id":365982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365966,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2019.05.011"}],"country":"United States","state":"California","otherGeospatial":"Seal Beach National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.08380126953125,\n 33.74728750001673\n ],\n [\n -118.08993816375731,\n 33.73879430336922\n ],\n [\n -118.08727741241454,\n 33.7372954166618\n ],\n [\n -118.0856466293335,\n 33.73461876811943\n ],\n [\n -118.08491706848145,\n 33.73215617770852\n ],\n [\n -118.07830810546875,\n 33.730443029651255\n ],\n [\n -118.06122779846191,\n 33.73069286587314\n ],\n [\n -118.06127071380615,\n 33.7364745866532\n ],\n [\n -118.0601978302002,\n 33.73754523293169\n ],\n [\n -118.06036949157713,\n 33.739293926451985\n ],\n [\n -118.06556224822997,\n 33.739258239185425\n ],\n [\n -118.0680513381958,\n 33.739044115274346\n ],\n [\n -118.06899547576903,\n 33.73829467737658\n ],\n [\n -118.06921005249023,\n 33.744432737835616\n ],\n [\n -118.06976795196533,\n 33.74496801298283\n ],\n [\n -118.07015419006346,\n 33.75053467647188\n ],\n [\n -118.07191371917725,\n 33.75171219359725\n ],\n [\n -118.07354450225829,\n 33.75271128635589\n ],\n [\n -118.0779218673706,\n 33.747216132120315\n ],\n [\n -118.08380126953125,\n 33.74728750001673\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"136","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":767165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Chase M. 0000-0003-4211-6709 cfreeman@usgs.gov","orcid":"https://orcid.org/0000-0003-4211-6709","contributorId":150052,"corporation":false,"usgs":true,"family":"Freeman","given":"Chase","email":"cfreeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":767166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosencranz, Jordan A. 0000-0003-3725-7697","orcid":"https://orcid.org/0000-0003-3725-7697","contributorId":174707,"corporation":false,"usgs":false,"family":"Rosencranz","given":"Jordan A.","affiliations":[],"preferred":false,"id":767167,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":767168,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":767169,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}