Landscape connectivity is integral to the persistence of metapopulations of wide ranging carnivores and other terrestrial species. The objectives of this research were to investigate the landscape characteristics essential to use of areas by lynx and bobcats in northern New England, map a habitat availability model for each species, and explore connectivity across areas of the region likely to experience future development pressure. A Mahalanobis distance analysis was conducted on location data collected between 2005 and 2010 from 16 bobcats in western Vermont and 31 lynx in northern Maine to determine which variables were most consistent across all locations for each species using three scales based on average 1) local (15 minute) movement, 2) linear distance between daily locations, and 3) female home range size. The bobcat model providing the widest separation between used locations and random study area locations suggests that they cue into landscape features such as edge, availability of cover, and development density at different scales. The lynx model with the widest separation between random and used locations contained five variables including natural habitat, cover, and elevation—all at different scales. Shrub scrub habitat—where lynx’s preferred prey is most abundant—was represented at the daily distance moved scale. Cross validation indicated that outliers had little effect on models for either species. A habitat suitability value was calculated for each 30 m2 pixel across Vermont, New Hampshire, and Maine for each species and used to map connectivity between conserved lands within selected areas across the region. Projections of future landscape change illustrated potential impacts of anthropogenic development on areas lynx and bobcat may use, and indicated where connectivity for bobcats and lynx may be lost. These projections provided a guide for conservation of landscape permeability for lynx, bobcat, and species relying on similar habitats in the region.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0194243","usgsCitation":"Farrell, L.E., Levy, D.M., Donovan, T.M., Mickey, R.M., Howard, A., Vashon, J., Freeman, M., Royar, K., and Kilpatrick, C.W., 2018, Landscape connectivity for bobcat (Lynx rufus) and lynx (Lynx canadensis) in the Northeastern United States: PLoS ONE, v. 13, no. 3, p. 1-25, https://doi.org/10.1371/journal.pone.0194243.","productDescription":"e0194243; 25 p.","startPage":"1","endPage":"25","ipdsId":"IP-043926","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468826,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0194243","text":"Publisher Index Page"},{"id":353475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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William","contributorId":204307,"corporation":false,"usgs":false,"family":"Kilpatrick","given":"C.","email":"","middleInitial":"William","affiliations":[],"preferred":false,"id":733605,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70196416,"text":"fs20183025 - 2018 - Science partnership between U.S. Geological Survey and the Lower Elwha Klallam Tribe—Understanding the Elwha River Dam Removal Project","interactions":[],"lastModifiedDate":"2018-04-17T11:21:52","indexId":"fs20183025","displayToPublicDate":"2018-04-16T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3025","title":"Science partnership between U.S. Geological Survey and the Lower Elwha Klallam Tribe—Understanding the Elwha River Dam Removal Project","docAbstract":"After nearly a century of producing power, two large hydroelectric dams on the Elwha River in Washington State were removed during 2011 to 2014 to restore the river ecosystem and recover imperiled salmon populations. Roughly two-thirds of the 21 million cubic meters of sediment—enough to fill nearly 2 million dump trucks—contained behind the dams was released downstream, which restored natural processes and initiated important changes to the river, estuarine, and marine ecosystems. A multidisciplinary team of scientists from the Lower Elwha Klallam Tribe, academia, non-governmental organizations, Federal and state agencies, and the U.S. Geological Survey collected key data before, during, and after dam removal to understand the outcomes of this historic project on the Elwha River ecosystem.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183025","usgsCitation":"Duda, J.J., Beirne, M.M., Warrick, J.A., and Magirl, C.S., 2018, Science partnership between U.S. Geological Survey and the Lower Elwha Klallam Tribe—Understanding the Elwha River Dam Removal Project: U.S. Geological Survey Fact Sheet 2018–3025, 4 p., https://doi.org/10.3133/fs20183025.","productDescription":"4 p.","ipdsId":"IP-095968","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":353441,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3025/fs20183025.pdf","text":"Report","size":"1.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3025"},{"id":353440,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3025/coverthb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Elwha River Dam ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.58434677124025,\n 48.13504826529439\n ],\n [\n -123.53628158569335,\n 48.13504826529439\n ],\n [\n -123.53628158569335,\n 48.16036041905986\n ],\n [\n -123.58434677124025,\n 48.16036041905986\n ],\n [\n -123.58434677124025,\n 48.13504826529439\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Regional Executive
U.S. Geological Survey Northwest Area
909 First Ave., Suite 800, Seattle, WA 98104
nwa_dropbox@usgs.gov/northwest
Springs at La Soufrière of Guadeloupe have been monitored for nearly four decades since the phreatic eruption and associated seismic activity in 1976. We conceptualize degassing vapor/gas mixtures as square‐wave sources of chloride and heat and apply a new semianalytic solution to demonstrate that chloride and heat pulses with the same timing and duration result in good matches between measured and simulated spring temperatures and concentrations. While the concentration of chloride pulses is variable, the local boiling temperature of 96°C was assigned to all thermal pulses. Because chloride is a conservative tracer, chloride breakthrough is only affected by one‐dimensional advection and dispersion. The thermal tracer is damped and lagged relative to chloride due to conductive heat exchange with the overlying and underlying strata. Joint analysis of temperature and chloride allows estimation of the onset and duration of degassing pulses, refining the chronology of recent magmatic intrusion.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL076449","usgsCitation":"Chen, K., Zhan, H., Burns, E.R., Ingebritsen, S.E., and Agrinier, P., 2018, The influence of episodic shallow magma degassing on heat and chemical transport in volcanic hydrothermal systems: Geophysical Research Letters, v. 45, no. 7, p. 3068-3076, https://doi.org/10.1002/2017GL076449.","productDescription":"9 p.","startPage":"3068","endPage":"3076","ipdsId":"IP-092662","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":468825,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017gl076449","text":"Publisher Index Page"},{"id":353470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-13","publicationStatus":"PW","scienceBaseUri":"5afee6dbe4b0da30c1bfbeb2","contributors":{"authors":[{"text":"Chen, Kewei 0000-0002-0444-9724","orcid":"https://orcid.org/0000-0002-0444-9724","contributorId":204253,"corporation":false,"usgs":false,"family":"Chen","given":"Kewei","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":733501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhan, Hongbin 0000-0003-2060-4904","orcid":"https://orcid.org/0000-0003-2060-4904","contributorId":192156,"corporation":false,"usgs":false,"family":"Zhan","given":"Hongbin","email":"","affiliations":[],"preferred":false,"id":733502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burns, Erick R. 0000-0002-1747-0506 eburns@usgs.gov","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":192154,"corporation":false,"usgs":true,"family":"Burns","given":"Erick","email":"eburns@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":733500,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ingebritsen, Steven E. 0000-0001-6917-9369 seingebr@usgs.gov","orcid":"https://orcid.org/0000-0001-6917-9369","contributorId":818,"corporation":false,"usgs":true,"family":"Ingebritsen","given":"Steven","email":"seingebr@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":733503,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Agrinier, Pierre","contributorId":204254,"corporation":false,"usgs":false,"family":"Agrinier","given":"Pierre","email":"","affiliations":[{"id":30776,"text":"Institut de Physique du Globe de Paris","active":true,"usgs":false}],"preferred":false,"id":733504,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196547,"text":"ofr20181067 - 2018 - Golden eagle (Aquila chrysaetos) habitat selection as a function of land use and terrain, San Diego County, California","interactions":[],"lastModifiedDate":"2018-04-17T11:12:05","indexId":"ofr20181067","displayToPublicDate":"2018-04-16T00:00:00","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":"2018-1067","displayTitle":"Golden eagle (Aquila chrysaetos) habitat selection as a function of land use and terrain, San Diego County, California","title":"Golden eagle (Aquila chrysaetos) habitat selection as a function of land use and terrain, San Diego County, California","docAbstract":"Beginning in 2014, the U.S. Geological Survey, in collaboration with Bloom Biological, Inc., began telemetry research on golden eagles (Aquila chrysaetos) captured in the San Diego, Orange, and western Riverside Counties of southern California. This work was supported by the San Diego Association of Governments, California Department of Fish and Wildlife, the U.S. Fish and Wildlife Service, the Bureau of Land Management, and the U.S. Geological Survey. Since 2014, we have tracked more than 40 eagles, although this report focuses only on San Diego County eagles.
An important objective of this research is to develop habitat selection models for golden eagles. Here we provide predictions of population-level habitat selection for golden eagles in San Diego County based on environmental covariates related to land use and terrain.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181067","collaboration":"Prepared in cooperation with San Diego Association of Governments, U.S. Fish and Wildlife Service, Bureau of Land Management, California Department of Fish and Wildlife","usgsCitation":"Tracey, J.A., Madden, M.C., Bloom, P.H., Katzner, T.E., and Fisher, R.N., 2018, Golden eagle (Aquila chrysaetos) habitat selection as a function of land use and terrain, San Diego County, California: U.S. Geological Survey Open-File Report 2018–1067, 13 p., https://doi.org/10.3133/ofr20181067.","productDescription":"Report: iv, 13 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-096732","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":353465,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OZVGEG","text":"USGS data release","description":"USGS Data 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Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive
Sacramento, California 95819
Biodegradation of contaminants can increase the temperature in the subsurface due to heat generated from exothermic reactions, making temperature observations a potentially low-cost approach for determining microbial activity. For this technique to gain more widespread acceptance, it is necessary to better understand all the factors affecting the measured temperatures. Biodegradation has been occurring at a crude oil-contaminated site near Bemidji, Minnesota for 39 years, creating a quasi-steady-state plume of contaminants and degradation products. A model of subsurface heat generation and transport helps elucidate the contribution of microbial and infrastructure heating to observed temperature increases at this site. We created a steady-state, two-dimensional, heat transport model using previous-published parameter values for physical, chemical and biodegradation properties. Simulated temperature distributions closely match the observed average annual temperatures measured in the contaminated area at the site within less than 0.2 °C in the unsaturated zone and 0.4 °C in the saturated zone. The model results confirm that the observed subsurface heat from microbial activity is due primarily to methane oxidation in the unsaturated zone resulting in a 3.6 °C increase in average annual temperature. Another important source of subsurface heat is from the active, crude-oil pipelines crossing the site. The pipelines impact temperatures for a distance of 200 m and contribute half the heat. Model results show that not accounting for the heat from the pipelines leads to overestimating the degradation rates by a factor of 1.7, demonstrating the importance of identifying and quantifying all heat sources. The model results also highlighted a zone where previously unknown microbial activity is occurring at the site.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jconhyd.2018.03.011","usgsCitation":"Warren, E., and Bekins, B.A., 2018, Relative contributions of microbial and infrastructure heat at a crude oil-contaminated site: Journal of Contaminant Hydrology, v. 211, p. 94-103, https://doi.org/10.1016/j.jconhyd.2018.03.011.","productDescription":"10 p.","startPage":"94","endPage":"103","ipdsId":"IP-091056","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":355636,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","county":"Beltrami County","city":"Bemidji","volume":"211","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e598e4b060350a15d1e2","contributors":{"authors":[{"text":"Warren, Ean 0000-0002-2634-8289 ewarren@usgs.gov","orcid":"https://orcid.org/0000-0002-2634-8289","contributorId":206234,"corporation":false,"usgs":true,"family":"Warren","given":"Ean","email":"ewarren@usgs.gov","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":739851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":739852,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70198045,"text":"70198045 - 2018 - Relative importance of water-quality stressors in predicting fish community responses in midwestern streams","interactions":[],"lastModifiedDate":"2018-07-12T22:49:34","indexId":"70198045","displayToPublicDate":"2018-04-16T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Relative importance of water-quality stressors in predicting fish community responses in midwestern streams","docAbstract":"Fish, habitat, and water chemistry data were collected from 98 streams in the midwestern United States, an area dominated by intense cultivation of row crops, in order to identify important water‐quality stressors to fish communities. We focused on 10 stressors including riparian disturbance, riparian vegetative cover, instream fish cover, streambed sedimentation, streamflow variability, total nitrogen, total phosphorus, minimum dissolved oxygen, pesticides, and bed sediment contaminants. Fish community response variables included a measure of observed/expected taxonomic completeness; species‐specific tolerances to nitrogen, phosphorus, dissolved oxygen, and water temperature; the percent of species classified as macrohabitat generalists; and an index of pesticide toxicity to fish. Multivariate analysis indicated that total nitrogen was the most important stressor, signifying that fish communities were responding to total nitrogen despite relatively high levels common to an agricultural setting. Individually, fish taxonomic completeness decreased with increasing streambed sedimentation, whereas fish community tolerance to total phosphorus increased with increasing streambed sedimentation, riparian disturbance, and total nitrogen. These findings underscore the importance of multiple biological response metrics to better understand the effects of water‐quality stressors on fish communities and highlight the complex relations between total phosphorus and fish communities.
","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.12646","usgsCitation":"Meador, M.R., and Frey, J.W., 2018, Relative importance of water-quality stressors in predicting fish community responses in midwestern streams: Journal of the American Water Resources Association, v. 54, no. 3, p. 708-723, https://doi.org/10.1111/1752-1688.12646.","productDescription":"16 p.","startPage":"708","endPage":"723","ipdsId":"IP-072326","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":355614,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Midwest","volume":"54","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-12","publicationStatus":"PW","scienceBaseUri":"5b46e598e4b060350a15d1e4","contributors":{"authors":[{"text":"Meador, Michael R. 0000-0001-5956-3340 mrmeador@usgs.gov","orcid":"https://orcid.org/0000-0001-5956-3340","contributorId":195592,"corporation":false,"usgs":true,"family":"Meador","given":"Michael","email":"mrmeador@usgs.gov","middleInitial":"R.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":739756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frey, Jeffrey W. 0000-0002-3453-5009 jwfrey@usgs.gov","orcid":"https://orcid.org/0000-0002-3453-5009","contributorId":487,"corporation":false,"usgs":true,"family":"Frey","given":"Jeffrey","email":"jwfrey@usgs.gov","middleInitial":"W.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739757,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70194321,"text":"fs20173087 - 2018 - The Midwest Stream Quality Assessment—Influences of human activities on streams","interactions":[],"lastModifiedDate":"2018-04-17T11:04:03","indexId":"fs20173087","displayToPublicDate":"2018-04-16T00:00:00","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":"2017-3087","title":"The Midwest Stream Quality Assessment—Influences of human activities on streams","docAbstract":"Healthy streams and the fish and other organisms that live in them contribute to our quality of life. Extensive modification of the landscape in the Midwestern United States, however, has profoundly affected the condition of streams. Row crops and pavement have replaced grasslands and woodlands, streams have been straightened, and wetlands and fields have been drained. Runoff from agricultural and urban land brings sediment and chemicals to streams. What is the chemical, physical, and biological condition of Midwestern streams? Which physical and chemical stressors are adversely affecting biological communities, what are their origins, and how might we lessen or avoid their adverse effects?
In 2013, the U.S. Geological Survey (USGS) conducted the Midwest Stream Quality Assessment to evaluate how human activities affect the biological condition of Midwestern streams. In collaboration with the U.S. Environmental Protection Agency National Rivers and Streams Assessment, the USGS sampled 100 streams, chosen to be representative of the different types of watersheds in the region. Biological condition was evaluated based on the number and diversity of fish, algae, and invertebrates in the streams. Changes to the physical habitat and chemical characteristics of the streams—“stressors”—were assessed, and their relation to landscape factors and biological condition was explored by using mathematical models. The data and models help us to better understand how the human activities on the landscape are affecting streams in the region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173087","usgsCitation":"Van Metre, P.C., Mahler, B.J., Carlisle, Daren, and Coles, James, 2018, The Midwest Stream Quality Assessment—Influences of human activities on streams: U.S. Geological Survey Fact Sheet 2017–3087, 6 p., https://doi.org/10.3133/fs20173087.","productDescription":"6 p.","onlineOnly":"N","ipdsId":"IP-087878","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":350638,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3087/coverthb2.jpg"},{"id":350639,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3087/fs20173087.pdf","text":"Report","size":"2.53 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017–3087"},{"id":350640,"rank":3,"type":{"id":18,"text":"Project Site"},"url":"https://water.usgs.gov/nawqa/","text":"National Water-Quality Assessment (NAWQA) Project"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.525390625,\n 36.756490329505176\n ],\n [\n -81.93603515625,\n 36.756490329505176\n ],\n [\n -81.93603515625,\n 45.166547157856016\n ],\n [\n -98.525390625,\n 45.166547157856016\n ],\n [\n -98.525390625,\n 36.756490329505176\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"National Water-Quality Assessment (NAWQA) Project
U.S. Geological Survey
413 National Center
12201 Sunrise Valley Drive
Reston, Virginia 20192
Satellite-derived near-shore bathymetry (SDB) is becoming an increasingly important method for assessing vulnerability to climate change and natural hazards in low-lying atolls of the northern tropical Pacific Ocean. Satellite imagery has become a cost-effective means for mapping near-shore bathymetry because ships cannot collect soundings safely while operating close to the shore. Also, green laser light detection and ranging (lidar) acquisitions are expensive in remote locations. Previous research has demonstrated that spectral band ratio-based techniques, commonly called the natural logarithm approach, may lead to more precise measurements and modeling of bathymetry because of the phenomenon that different substrates at the same depth have approximately equal ratio values. The goal of this research was to apply the band ratio technique to Landsat 8 at-sensor radiance imagery and WorldView-3 atmospherically corrected imagery in the coastal waters surrounding the Majuro Atoll, Republic of the Marshall Islands, to derive near-shore bathymetry that could be incorporated into a seamless topobathymetric digital elevation model of Majuro. Attenuation of light within the water column was characterized by measuring at-sensor radiance and reflectance at different depths and calculating an attenuation coefficient. Bathymetric lidar data, collected by the U.S. Naval Oceanographic Office in 2006, were used to calibrate the SDB results. The bathymetric lidar yielded a strong linear relation with water depths. The Landsat 8-derived SDB estimates derived from the blue/green band ratio exhibited a water attenuation extinction depth of 6 meters with a coefficient of determination R2=0.9324. Estimates derived from the coastal/red band ratio had an R2=0.9597. At the same extinction depth, SDB estimates derived from WorldView-3 imagery exhibited an R2=0.9574. Because highly dynamic coastal shorelines can be affected by erosion, wetland loss, hurricanes, sea-level rise, urban development, and population growth, consistent bathymetric data are needed to better understand sensitive coastal land/water interfaces in areas subject to coastal disasters.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185024","usgsCitation":"Poppenga, S.K., Palaseanu-Lovejoy, M., Gesch, D.B., Danielson, J.J., and Tyler, D.J., 2018, Evaluating the potential for near-shore bathymetry on the Majuro Atoll, Republic of the Marshall Islands, using Landsat 8 and WorldView-3 imagery: U.S. Geological Survey Scientific Investigations Report 2018–5024, 14 p., https://doi.org/10.3133/sir20185024.","productDescription":"Report: vii, 14 p.; Data Release","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-092726","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":353367,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7416VXX","text":"USGS data release","description":"USGS Data Release","linkHelpText":"One Meter Topobathymetric Digital Elevation Model for Majuro Atoll, Republic of the Marshall Islands, 1944 to 2016"},{"id":353365,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5024/coverthb2.jpg"},{"id":353366,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5024/sir20185024.pdf","text":"Report","size":"3.28 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5024"}],"country":"Republic of the Marshall Islands","otherGeospatial":"Majuro Atoll","contact":"Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD
Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean undiscovered, technically recoverable resources of 198 billion cubic feet of continuous gas in the Phosphoria Formation of the Wyoming Thrust Belt Province, Wyoming, Idaho, and Utah.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183001","usgsCitation":"Schenk, C.J., Mercier, T.J., Tennyson, M.E., Woodall, C.A., Finn, T.M., Pitman, J.K., Gaswirth, S.B., Marra, K.R., Le, P.A., Klett, T.R., and Leathers-Miller, H.M., 2018, Assessment of continuous gas resources in the Phosphoria Formation of the Wyoming Thrust Belt Province, Wyoming, Idaho, and Utah, 2017: U.S. Geological Survey Fact Sheet 2018–3001, 2 p., https://doi.org/10.3133/fs20183001.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-091423","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":353400,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20173091","text":"Fact Sheet 2017–3091:","linkHelpText":"Assessment of Undiscovered Conventional Oil and Gas Resources in the Wyoming Thrust Belt Province, Wyoming, Idaho, and Utah, 2017"},{"id":353398,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3001/coverthb.jpg"},{"id":353399,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3001/fs20183001.pdf","text":"Report","size":"1.38 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3001"}],"country":"United States","state":"Idaho, Utah, Wyoming","otherGeospatial":"Wyoming Thrust Belt Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112,\n 40.25\n ],\n [\n -110.25,\n 40.25\n ],\n [\n -110.25,\n 43.75\n ],\n [\n -112,\n 43.75\n ],\n [\n -112,\n 40.25\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
The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center, in cooperation with the U.S. Army Corps of Engineers, Mobile District, conducted bathymetric surveys of the nearshore waters surrounding Ship and Horn Islands, Gulf Islands National Seashore, Mississippi. The objective of this study was to establish base-level elevation conditions around West Ship, East Ship, and Horn Islands and their associated active littoral system prior to restoration activities. These activities include the closure of Camille Cut and the placement of sediment in the littoral zone of East Ship Island. These surveys can be compared with future surveys to monitor sediment migration patterns post-restoration and can also be measured against historic bathymetric datasets to further our understanding of island evolution.
The USGS collected 667 line-kilometers (km) of single-beam bathymetry data and 844 line-km of interferometric swath bathymetry data in July 2016 under Field Activity Number 2016-347-FA. Data are provided in three datums: (1) the International Terrestrial Reference Frame of 2000 (ellipsoid height); (2) the North American Datum of 1983 (NAD83) CORS96 realization and the North American Vertical Datum of 1988 with respect to the GEOID12B model (orthometric height); and (3) NAD83 (CORS96) and Mean Lower Low Water (tidal datum). Data products, including x,y,zpoint datasets, trackline shapefiles, digital and handwritten Field Activity Collection Systems logs, 50-meter digital elevation model, and formal Federal Geographic Data Committee metadata, are available for download.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1081","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Mobile District","usgsCitation":"DeWitt, N.T., Stalk, C.A., Fredericks, J.J., Flocks, J.G., Kelso, K.W., Farmer, A.S., Tuten, T.M., and Buster, N.A., 2018, Nearshore coastal bathymetry data collected in 2016 from West Ship Island to Horn Island, Gulf Islands National Seashore, Mississippi: U.S. Geological Survey Data Series 1081, https://doi.org/10.3133/ds1081.","productDescription":"HTML Document; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-092109","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":353362,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1081/coverthb.jpg"},{"id":353364,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://coastal.er.usgs.gov/data-release/doi-F7B8571Q/","text":"USGS data release","description":"USGS data release","linkHelpText":"Coastal Bathymetry Data Collected in 2016 nearshore from West Ship Island to Horn Island, Gulf Islands National Seashore, Mississippi"},{"id":353363,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1081/","text":"Report HTML","linkFileType":{"id":5,"text":"html"},"description":"DS 1081"}],"country":"United States","state":"Mississippi","otherGeospatial":"Horn Islands, Gulf Islands National Seashore","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.02359008789062,\n 30.173624550358536\n ],\n [\n -88.50311279296875,\n 30.173624550358536\n ],\n [\n -88.50311279296875,\n 30.28634573802957\n ],\n [\n -89.02359008789062,\n 30.28634573802957\n ],\n [\n -89.02359008789062,\n 30.173624550358536\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 4th St. South
St. Petersburg, FL 33701
Background
Management requires a robust understanding of between- and within-species genetic variability, however such data are still lacking in many species. For example, although multiple population genetics studies of the peregrine falcon (Falco peregrinus) have been conducted, no similar studies have been done of the closely-related prairie falcon (F. mexicanus) and it is unclear how much genetic variation and population structure exists across the species’ range. Furthermore, the phylogenetic relationship of F. mexicanus relative to other falcon species is contested. We utilized a genomics approach (i.e., genome sequencing and assembly followed by single nucleotide polymorphism genotyping) to rapidly address these gaps in knowledge.
Results
We sequenced the genome of a single female prairie falcon and generated a 1.17 Gb (gigabases) draft genome assembly. We generated maximum likelihood phylogenetic trees using complete mitochondrial genomes as well as nuclear protein-coding genes. This process provided evidence that F. mexicanus is an outgroup to the clade that includes the peregrine falcon and members of the subgenus Hierofalco. We annotated > 16,000 genes and almost 600,000 high-quality single nucleotide polymorphisms (SNPs) in the nuclear genome, providing the raw material for a SNP assay design featuring > 140 gene-associated markers and a molecular-sexing marker. We subsequently genotyped ~ 100 individuals from California (including the San Francisco East Bay Area, Pinnacles National Park and the Mojave Desert) and Idaho (Snake River Birds of Prey National Conservation Area). We tested for population structure and found evidence that individuals sampled in California and Idaho represent a single panmictic population.
Conclusions
Our study illustrates how genomic resources can rapidly shed light on genetic variability in understudied species and resolve phylogenetic relationships. Furthermore, we found evidence of a single, randomly mating population of prairie falcons across our sampling locations. Prairie falcons are highly mobile and relatively rare long-distance dispersal events may promote gene flow throughout the range. As such, California’s prairie falcons might be managed as a single population, indicating that management actions undertaken to benefit the species at the local level have the potential to influence the species as a whole.
The projected rapid changes in climate will affect the unique vegetation assemblages of the Northern Rockies region in myriad ways, both directly through shifts in vegetation growth, mortality, and regeneration, and indirectly through changes in disturbance regimes and interactions with changes in other ecosystem processes, such as hydrology, snow dynamics, and exotic invasions (Bonan 2008; Hansen and Phillips 2015; Hansen et al. 2001; Notaro et al. 2007). These impacts, taken collectively, could change the way vegetation is managed by public land agencies in this area. Some species may be in danger of rapid decreases in abundance, while others may undergo range expansion (Landhäusser et al. 2010). New vegetation communities may form, while historical vegetation complexes may simply shift to other areas of the landscape or become rare. Juxtaposed with climate change concerns are the consequences of other land management policies and past activities, such as fire exclusion, fuels treatments, and grazing. A thorough assessment of the responses of vegetation to projected climate change is needed, along with an evaluation of the vulnerability of important species, communities, and vegetation-related resources that may be influenced by the effects, both direct and indirect, of climate change. This assessment must also account for past management actions and current vegetation conditions and their interactions with future climates.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Climate change vulnerability and adaptation in the Northern Rocky Mountains - Part 1","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Forest Service","usgsCitation":"Keane, R.E., Mahalovich, M.F., Bollenbacher, B.L., Manning, M., Loehman, R.A., Jain, T.B., Holsinger, L.M., Larson, A.J., and Webster, M.M., 2018, Effects of climate change on forest vegetation in the Northern Rockies Region: General Technical Report RMRS-GTR-374, 46 p.","productDescription":"46 p.","startPage":"128","endPage":"173","ipdsId":"IP-072292","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":353420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":353337,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/treesearch/pubs/55991"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.00439453125,\n 42.309815415686664\n ],\n [\n -96.45996093749999,\n 42.309815415686664\n ],\n [\n -96.45996093749999,\n 49.009050809382046\n ],\n [\n -117.00439453125,\n 49.009050809382046\n ],\n [\n -117.00439453125,\n 42.309815415686664\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6dce4b0da30c1bfbeca","contributors":{"authors":[{"text":"Keane, Robert E.","contributorId":200723,"corporation":false,"usgs":false,"family":"Keane","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":733254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahalovich, Mary Frances","contributorId":200724,"corporation":false,"usgs":false,"family":"Mahalovich","given":"Mary","email":"","middleInitial":"Frances","affiliations":[{"id":27110,"text":"U.S. Dept of Agriculture, Forest Service","active":true,"usgs":false}],"preferred":false,"id":733255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bollenbacher, Barry L.","contributorId":200725,"corporation":false,"usgs":false,"family":"Bollenbacher","given":"Barry","email":"","middleInitial":"L.","affiliations":[{"id":35842,"text":"U.S. Forest Service Northern Region, Missoula","active":true,"usgs":false}],"preferred":false,"id":733256,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Manning, Mary E.","contributorId":177570,"corporation":false,"usgs":false,"family":"Manning","given":"Mary E.","affiliations":[],"preferred":false,"id":733257,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":false,"id":733253,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jain, Terrie B.","contributorId":200727,"corporation":false,"usgs":false,"family":"Jain","given":"Terrie","email":"","middleInitial":"B.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":733258,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Holsinger, Lisa M.","contributorId":187607,"corporation":false,"usgs":false,"family":"Holsinger","given":"Lisa","email":"","middleInitial":"M.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":733259,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Larson, Andrew J.","contributorId":197832,"corporation":false,"usgs":false,"family":"Larson","given":"Andrew","email":"","middleInitial":"J.","affiliations":[{"id":7089,"text":"University of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":733260,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Webster, Meredith M.","contributorId":204163,"corporation":false,"usgs":false,"family":"Webster","given":"Meredith","email":"","middleInitial":"M.","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":733261,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70196495,"text":"70196495 - 2018 - The response of source-bordering aeolian dunefields to sediment-supply changes 1: Effects of wind variability and river-valley morphodynamics","interactions":[],"lastModifiedDate":"2018-04-13T10:39:20","indexId":"70196495","displayToPublicDate":"2018-04-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"The response of source-bordering aeolian dunefields to sediment-supply changes 1: Effects of wind variability and river-valley morphodynamics","docAbstract":"Source-bordering dunefields (SBDs), which are primarily built and maintained with river-derived sediment, are found in many large river valleys and are currently impacted by changes in sediment supply due to climate change, land use changes, and river regulation. Despite their importance, a physically based, applied approach for quantifying the response of SBDs to changes in sediment supply does not exist. To address this knowledge gap, here we develop an approach for quantifying the geomorphic responses to sediment-supply alteration based on the interpretation of dunefield morphodynamics from geomorphic change detection and wind characteristics. We use the approach to test hypotheses about the response of individual dunefields to variability in sediment supply at three SBDs along the Colorado River in Grand Canyon, Arizona, USA during the 11 years between 2002 and 2013 when several river floods rebuilt some river sandbars and channel margin deposits that serve as sediment source areas for the SBDs. We demonstrate that resupply of fluvially sourced aeolian sediment occurred at one of the SBDs, but not at the other two, and attribute this differential response to site-specific variability in geomorphology, wind, and sediment source areas. The approach we present is applied in a companion study to shorter time periods with high-resolution topographic data that bracket individual floods in order to infer the resupply of fluvially sourced aeolian sediment to SBDs by managed river flows. Such an applied methodology could also be useful for measuring sediment connectivity and anthropogenic alterations of connectivity in other coupled fluvial-aeolian environments.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2018.02.005","usgsCitation":"Sankey, J.B., Kasprak, A., Caster, J., East, A.E., and Fairley, H.C., 2018, The response of source-bordering aeolian dunefields to sediment-supply changes 1: Effects of wind variability and river-valley morphodynamics: Aeolian Research, v. 32, p. 228-245, https://doi.org/10.1016/j.aeolia.2018.02.005.","productDescription":"18 p.","startPage":"228","endPage":"245","ipdsId":"IP-091253","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":460945,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aeolia.2018.02.005","text":"Publisher Index Page"},{"id":353401,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.04907226562499,\n 35.64390523787731\n ],\n [\n -111.3958740234375,\n 35.64390523787731\n ],\n [\n -111.3958740234375,\n 36.97183825093165\n ],\n [\n -114.04907226562499,\n 36.97183825093165\n ],\n [\n -114.04907226562499,\n 35.64390523787731\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e3e4b0da30c1bfbed0","contributors":{"authors":[{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":733240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kasprak, Alan 0000-0001-8184-6128","orcid":"https://orcid.org/0000-0001-8184-6128","contributorId":204162,"corporation":false,"usgs":true,"family":"Kasprak","given":"Alan","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":733241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caster, Joshua 0000-0002-2858-1228 jcaster@usgs.gov","orcid":"https://orcid.org/0000-0002-2858-1228","contributorId":199033,"corporation":false,"usgs":true,"family":"Caster","given":"Joshua","email":"jcaster@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":733242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":733243,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fairley, Helen C. 0000-0001-6151-4804 hfairley@usgs.gov","orcid":"https://orcid.org/0000-0001-6151-4804","contributorId":3040,"corporation":false,"usgs":true,"family":"Fairley","given":"Helen","email":"hfairley@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":733244,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196497,"text":"70196497 - 2018 - Effects of climate change on ecological disturbance in the Northern Rockies Region [Chapter 8]","interactions":[],"lastModifiedDate":"2018-04-13T12:40:12","indexId":"70196497","displayToPublicDate":"2018-04-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-GTR-374","title":"Effects of climate change on ecological disturbance in the Northern Rockies Region [Chapter 8]","docAbstract":"This chapter describes the ecology of important disturbance regimes in the Forest Service, U.S. Department of Agriculture (USFS) Northern Region and the Greater Yellowstone Area, hereafter called the Northern Rockies region, and potential shifts in these regimes as a consequence of observed and projected climate change. The term disturbance regime describes the general temporal and spatial characteristics of a disturbance agent - insect, disease, fire, weather, even human activity - and the effects of that agent on the landscape (table 8.1). More specifically, a disturbance regime is the cumulative effect of multiple disturbance events over space and time (Keane 2013). Disturbances disrupt an ecosystem, community, or population structure and change elements of the biological environment, physical environment, or both (White and Pickett 1985). The resulting shifting mosaic of diverse ecological patterns and structures in turn affects future patterns of disturbance, in a reciprocal, linked relationship that shapes the fundamental character of landscapes and ecosystems. Disturbance creates and maintains biological diversity in the form of shifting, heterogeneous mosaics of diverse communities and habitats across a landscape (McKinney and Drake 1998), and biodiversity is generally highest when disturbance is neither too rare nor too frequent on the landscape (Grime 1973).
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Climate change vulnerability and adaptation in the Northern Rocky Mountains - Part 2","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Forest Service","usgsCitation":"Loehman, R.A., Bentz, B.J., DeNitto, G.A., Keane, R.E., Manning, M., Duncan, J.P., Egan, J.M., Jackson, M.B., Kegley, S., Lockman, I.B., Pearson, D.E., Powell, J., Shelly, S., Steed, B.E., and Zambino, P.J., 2018, Effects of climate change on ecological disturbance in the Northern Rockies Region [Chapter 8]: General Technical Report RMRS-GTR-374, 36 p.","productDescription":"36 p.","startPage":"317","endPage":"352","ipdsId":"IP-072091","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":353421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":353336,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/treesearch/pubs/55993"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.00439453125,\n 42.309815415686664\n ],\n [\n -96.45996093749999,\n 42.309815415686664\n ],\n [\n -96.45996093749999,\n 49.009050809382046\n ],\n [\n -117.00439453125,\n 49.009050809382046\n ],\n [\n -117.00439453125,\n 42.309815415686664\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6dce4b0da30c1bfbecc","contributors":{"authors":[{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":733249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bentz, Barbara J.","contributorId":200734,"corporation":false,"usgs":false,"family":"Bentz","given":"Barbara","email":"","middleInitial":"J.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":733250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeNitto, Gregg A.","contributorId":200735,"corporation":false,"usgs":false,"family":"DeNitto","given":"Gregg","email":"","middleInitial":"A.","affiliations":[{"id":35842,"text":"U.S. Forest Service Northern Region, Missoula","active":true,"usgs":false}],"preferred":false,"id":733251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keane, Robert E.","contributorId":200723,"corporation":false,"usgs":false,"family":"Keane","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":733252,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Manning, Mary E.","contributorId":177570,"corporation":false,"usgs":false,"family":"Manning","given":"Mary E.","affiliations":[],"preferred":false,"id":733433,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duncan, Jacob P.","contributorId":200736,"corporation":false,"usgs":false,"family":"Duncan","given":"Jacob","email":"","middleInitial":"P.","affiliations":[{"id":12682,"text":"Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":733434,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Egan, Joel M.","contributorId":200737,"corporation":false,"usgs":false,"family":"Egan","given":"Joel","email":"","middleInitial":"M.","affiliations":[{"id":35842,"text":"U.S. Forest Service Northern Region, Missoula","active":true,"usgs":false}],"preferred":false,"id":733435,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jackson, Marcus B.","contributorId":200738,"corporation":false,"usgs":false,"family":"Jackson","given":"Marcus","email":"","middleInitial":"B.","affiliations":[{"id":35842,"text":"U.S. Forest Service Northern Region, Missoula","active":true,"usgs":false}],"preferred":false,"id":733436,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kegley, Sandra","contributorId":200739,"corporation":false,"usgs":false,"family":"Kegley","given":"Sandra","email":"","affiliations":[{"id":35842,"text":"U.S. Forest Service Northern Region, Missoula","active":true,"usgs":false}],"preferred":false,"id":733437,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lockman, I. 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We analyzed altitudinal data from GPS telemetry of critically endangered California Condors (Gymnogyps californianus) to assess the circumstances under which their flight behavior may place them at risk from collision with wind turbines. Condor flight behavior was strongly influenced by topography and land cover, and birds flew at lower altitudes and closer to the rotor-swept zone of wind turbines when over ridgelines and steep slopes and over forested and grassland cover types. Condor flight behavior was temporally predictable, and birds flew lower and closer to the rotor-swept zone during early morning and evening hours and during the winter months, when thermal updrafts were weakest. Although condors only occasionally flew at altitudes that placed them in the rotor-swept zone of turbines, they regularly flew near or within wind resource areas preferred by energy developers. Practitioners aiming to mitigate collision risk to this and other soaring bird species of conservation concern can consider the manner in which flight behavior varies temporally and in response to areas of high topographic relief and proximity to nocturnal roosting sites. By contrast, collision risk to large soaring birds from turbines should be relatively lower over flatter and less rugged areas and in habitat used during daytime soaring.
","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-17-100.1","usgsCitation":"Poessel, S.A., Brandt, J., Mendenhall, L.C., Braham, M., Lanzone, M., McGann, A., and Katzner, T., 2018, Flight response to spatial and temporal correlates informs risk from wind turbines to the California Condor: The Condor, v. 120, no. 2, p. 330-342, https://doi.org/10.1650/CONDOR-17-100.1.","productDescription":"13 p.","startPage":"330","endPage":"342","ipdsId":"IP-075138","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":353410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.025146484375,\n 33.94335994657882\n ],\n [\n -117.59765625,\n 33.94335994657882\n ],\n [\n -117.59765625,\n 36.90597988519294\n ],\n [\n -122.025146484375,\n 36.90597988519294\n ],\n [\n -122.025146484375,\n 33.94335994657882\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"120","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6dce4b0da30c1bfbec6","contributors":{"authors":[{"text":"Poessel, Sharon A. 0000-0002-0283-627X spoessel@usgs.gov","orcid":"https://orcid.org/0000-0002-0283-627X","contributorId":168465,"corporation":false,"usgs":true,"family":"Poessel","given":"Sharon","email":"spoessel@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":733293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandt, Joseph","contributorId":127742,"corporation":false,"usgs":false,"family":"Brandt","given":"Joseph","affiliations":[{"id":7133,"text":"California Condor Recovery Program, US Fish and Wildlife Service, Ventura, CA","active":true,"usgs":false}],"preferred":false,"id":733294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mendenhall, Laura C.","contributorId":168491,"corporation":false,"usgs":false,"family":"Mendenhall","given":"Laura","email":"","middleInitial":"C.","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":733295,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Braham, Melissa A.","contributorId":140127,"corporation":false,"usgs":false,"family":"Braham","given":"Melissa A.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":733296,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lanzone, Michael J.","contributorId":140128,"corporation":false,"usgs":false,"family":"Lanzone","given":"Michael J.","affiliations":[{"id":13392,"text":"Cellular Tracking Technologies","active":true,"usgs":false}],"preferred":false,"id":733297,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGann, Andrew J.","contributorId":168492,"corporation":false,"usgs":false,"family":"McGann","given":"Andrew J.","affiliations":[{"id":25310,"text":"Cellular Tracking Technologies, LLC","active":true,"usgs":false}],"preferred":false,"id":733298,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":733299,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70196506,"text":"70196506 - 2018 - Potential impacts of projected climate change on vegetation management in Hawai`i Volcanoes National Park","interactions":[],"lastModifiedDate":"2018-04-16T10:00:07","indexId":"70196506","displayToPublicDate":"2018-04-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3014,"text":"Park Science","active":true,"publicationSubtype":{"id":10}},"title":"Potential impacts of projected climate change on vegetation management in Hawai`i Volcanoes National Park","docAbstract":"Climate change will likely alter the seasonal and annual patterns of rainfall and temperature in Hawai`i. This is a major concern for resource managers at Hawai`i Volcanoes National Park where intensely managed Special Ecological Areas (SEAs), focal sites for managing rare and endangered plants, may no longer provide suitable habitat under future climate. Expanding invasive species’ distributions also may pose a threat to areas where native plants currently predominate. We combine recent climate modeling efforts for the state of Hawai`i with plant species distribution models to forecast changes in biodiversity in SEAs under future climate conditions. Based on this bioclimatic envelope model, we generated projected species range maps for four snapshots in time (2000, 2040, 2070, and 2090) to assess whether the range of 39 native and invasive species of management interest are expected to contract, expand, or remain the same under a moderately warmer and more variable precipitation scenario. Approximately two-thirds of the modeled native species were projected to contract in range, while one-third were shown to increase. Most of the park’s SEAs were projected to lose a majority of the native species modeled. Nine of the 10 modeled invasive species were projected to contract within the park; this trend occurred in most SEAs, including those at low, middle, and high elevations. There was good congruence in the current (2000) distribution of species richness and SEA configuration; however, the congruence between species richness hotspots and SEAs diminished by the end of this century. Over time the projected species-rich hotspots increasingly occurred outside of current SEA boundaries. Our research brought together managers and scientists to increase understanding of potential climate change impacts, and provide needed information to address how plants may respond under future conditions relative to current managed areas.","language":"English","publisher":"National Park Service","usgsCitation":"Camp, R.J., Loh, R., Berkowitz, S.P., Brinck, K.W., Jacobi, J.D., Price, J., McDaniel, S., and Fortini, L.B., 2018, Potential impacts of projected climate change on vegetation management in Hawai`i Volcanoes National Park: Park Science, v. 34, no. 1, p. 22-31.","productDescription":"10 p.","startPage":"22","endPage":"31","ipdsId":"IP-092427","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":353411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":353347,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/parkscience34-1_22-31_camp_et_al_3875.htm"}],"country":"United States","state":"Hawai`i","otherGeospatial":"Hawai`i Volcanoes National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.8333,\n 19\n ],\n [\n -155,\n 19\n ],\n [\n -155,\n 19.55\n ],\n [\n -155.8333,\n 19.55\n ],\n [\n -155.8333,\n 19\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6dce4b0da30c1bfbec4","contributors":{"authors":[{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":733305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loh, Rhonda","contributorId":191174,"corporation":false,"usgs":false,"family":"Loh","given":"Rhonda","email":"","affiliations":[],"preferred":false,"id":733306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berkowitz, S. Paul 0000-0002-4056-3735","orcid":"https://orcid.org/0000-0002-4056-3735","contributorId":204177,"corporation":false,"usgs":false,"family":"Berkowitz","given":"S.","email":"","middleInitial":"Paul","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":733307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brinck, Kevin W. 0000-0001-7581-2482 kbrinck@usgs.gov","orcid":"https://orcid.org/0000-0001-7581-2482","contributorId":150936,"corporation":false,"usgs":false,"family":"Brinck","given":"Kevin","email":"kbrinck@usgs.gov","middleInitial":"W.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":733308,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":733309,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Price, Jonathan","contributorId":187456,"corporation":false,"usgs":false,"family":"Price","given":"Jonathan","affiliations":[],"preferred":false,"id":733310,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McDaniel, Sierra","contributorId":204178,"corporation":false,"usgs":false,"family":"McDaniel","given":"Sierra","affiliations":[{"id":36871,"text":"Hawaii Volcanoes National Park, NPS","active":true,"usgs":false}],"preferred":false,"id":733311,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fortini, Lucas B. 0000-0002-5781-7295 lfortini@usgs.gov","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":4645,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas","email":"lfortini@usgs.gov","middleInitial":"B.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":false,"id":733312,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70196496,"text":"70196496 - 2018 - The response of source-bordering aeolian dunefields to sediment-supply changes 2: Controlled floods of the Colorado River in Grand Canyon, Arizona, USA","interactions":[],"lastModifiedDate":"2018-04-13T10:47:24","indexId":"70196496","displayToPublicDate":"2018-04-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"The response of source-bordering aeolian dunefields to sediment-supply changes 2: Controlled floods of the Colorado River in Grand Canyon, Arizona, USA","docAbstract":"In the Colorado River downstream of Glen Canyon Dam in the Grand Canyon, USA, controlled floods are used to resupply sediment to, and rebuild, river sandbars that have eroded severely over the past five decades owing to dam-induced changes in river flow and sediment supply. In this study, we examine whether controlled floods, can in turn resupply aeolian sediment to some of the large source-bordering aeolian dunefields (SBDs) along the margins of the river. Using a legacy of high-resolution lidar remote-sensing and meteorological data, we characterize the response of four SBDs (a subset of 117 SBDs and other aeolian-sand-dominated areas in the canyon) during four sediment-laden controlled floods of the Colorado River in 2012, 2013, 2014, and 2016. We find that aeolian sediment resupply unambiguously occurred in 8 of the 16 instances of controlled flooding adjacent to SBDs. Resupply attributed to individual floods varied substantially among sites, and occurred with four, three, one, and zero floods at the four sites, respectively. We infer that the relative success of controlled floods as a regulated-river management tool for resupplying sediment to SBDs is analogous to the frequency of resupply observed for fluvial sandbars in this setting, in that sediment resupply was estimated to have occurred for roughly half of the instances of recent controlled flooding at sandbars monitored separately from this study. We find the methods developed in this, and a companion study, are effective tools to quantify geomorphic changes in sediment storage, along linked fluvial and aeolian pathways of sedimentary systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2018.02.004","usgsCitation":"Sankey, J.B., Caster, J., Kasprak, A., and East, A.E., 2018, The response of source-bordering aeolian dunefields to sediment-supply changes 2: Controlled floods of the Colorado River in Grand Canyon, Arizona, USA: Aeolian Research, v. 32, p. 154-169, https://doi.org/10.1016/j.aeolia.2018.02.004.","productDescription":"16 p.","startPage":"154","endPage":"169","ipdsId":"IP-092082","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":460953,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aeolia.2018.02.004","text":"Publisher Index Page"},{"id":353403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.04907226562499,\n 35.64390523787731\n ],\n [\n -111.3958740234375,\n 35.64390523787731\n ],\n [\n -111.3958740234375,\n 36.97183825093165\n ],\n [\n -114.04907226562499,\n 36.97183825093165\n ],\n [\n -114.04907226562499,\n 35.64390523787731\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6dce4b0da30c1bfbece","contributors":{"authors":[{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":733245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caster, Joshua 0000-0002-2858-1228 jcaster@usgs.gov","orcid":"https://orcid.org/0000-0002-2858-1228","contributorId":199033,"corporation":false,"usgs":true,"family":"Caster","given":"Joshua","email":"jcaster@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":733247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kasprak, Alan 0000-0001-8184-6128 akasprak@usgs.gov","orcid":"https://orcid.org/0000-0001-8184-6128","contributorId":190848,"corporation":false,"usgs":true,"family":"Kasprak","given":"Alan","email":"akasprak@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":733246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":733248,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196527,"text":"70196527 - 2018 - Spectrally based bathymetric mapping of a dynamic, sand‐bedded channel: Niobrara River, Nebraska, USA","interactions":[],"lastModifiedDate":"2018-06-04T16:04:22","indexId":"70196527","displayToPublicDate":"2018-04-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Spectrally based bathymetric mapping of a dynamic, sand‐bedded channel: Niobrara River, Nebraska, USA","docAbstract":"Methods for spectrally based mapping of river bathymetry have been developed and tested in clear‐flowing, gravel‐bed channels, with limited application to turbid, sand‐bed rivers. This study used hyperspectral images and field surveys from the dynamic, sandy Niobrara River to evaluate three depth retrieval methods. The first regression‐based approach, optimal band ratio analysis (OBRA), paired in situ depth measurements with image pixel values to estimate depth. The second approach used ground‐based field spectra to calibrate an OBRA relationship. The third technique, image‐to‐depth quantile transformation (IDQT), estimated depth by linking the cumulative distribution function (CDF) of depth to the CDF of an image‐derived variable. OBRA yielded the lowest depth retrieval mean error (0.005 m) and highest observed versus predicted R2 (0.817). Although misalignment between field and image data did not compromise the performance of OBRA in this study, poor georeferencing could limit regression‐based approaches such as OBRA in dynamic, sand‐bedded rivers. Field spectroscopy‐based depth maps exhibited a mean error with a slight shallow bias (0.068 m) but provided reliable estimates for most of the study reach. IDQT had a strong deep bias but provided informative relative depth maps. Overprediction of depth by IDQT highlights the need for an unbiased sampling strategy to define the depth CDF. Although each of the techniques we tested demonstrated potential to provide accurate depth estimates in sand‐bed rivers, each method also was subject to certain constraints and limitations.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3270","usgsCitation":"Dilbone, E., Legleiter, C.J., Alexander, J., and McElroy, B., 2018, Spectrally based bathymetric mapping of a dynamic, sand‐bedded channel: Niobrara River, Nebraska, USA: River Research and Applications, v. 34, no. 5, p. 430-441, https://doi.org/10.1002/rra.3270.","productDescription":"12 p.","startPage":"430","endPage":"441","ipdsId":"IP-089149","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":437948,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75M647F","text":"USGS data release","linkHelpText":"Hyperspectral image data from the Niobrara River, Nebraska, November 2012 and August 2016"},{"id":437947,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7B856NC","text":"USGS data release","linkHelpText":"Field spectra from the Niobrara River, Nebraska, August 15-18, 2016"},{"id":437946,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NK3CJ7","text":"USGS data release","linkHelpText":"Field-based bathymetric surveys of the Niobrara River, Nebraska, November 2012 and August 2016"},{"id":353413,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Niobrara River","volume":"34","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-06","publicationStatus":"PW","scienceBaseUri":"5afee6dbe4b0da30c1bfbec0","contributors":{"authors":[{"text":"Dilbone, Elizabeth 0000-0001-7360-4057","orcid":"https://orcid.org/0000-0001-7360-4057","contributorId":204219,"corporation":false,"usgs":false,"family":"Dilbone","given":"Elizabeth","email":"","affiliations":[{"id":36880,"text":"Department of Geography, University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":733411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":733410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alexander, Jason S. 0000-0002-1602-482X","orcid":"https://orcid.org/0000-0002-1602-482X","contributorId":204220,"corporation":false,"usgs":false,"family":"Alexander","given":"Jason S.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false},{"id":36881,"text":"Department of Geology and Geophysics, University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":733413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McElroy, Brandon","contributorId":198820,"corporation":false,"usgs":false,"family":"McElroy","given":"Brandon","affiliations":[],"preferred":false,"id":733412,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196526,"text":"70196526 - 2018 - High costs of infection: Alphavirus infection reduces digestive function and bone and feather growth in nestling house sparrows (Passer domesticus)","interactions":[],"lastModifiedDate":"2018-04-13T11:23:50","indexId":"70196526","displayToPublicDate":"2018-04-13T00:00:00","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}},"displayTitle":"High costs of infection: Alphavirus infection reduces digestive function and bone and feather growth in nestling house sparrows (Passer domesticus)","title":"High costs of infection: Alphavirus infection reduces digestive function and bone and feather growth in nestling house sparrows (Passer domesticus)","docAbstract":"Increasingly, ecoimmunology studies aim to use relevant pathogen exposure to examine the impacts of infection on physiological processes in wild animals. Alphaviruses are arthropod-borne, single-stranded RNA (ssRNA) viruses (“arboviruses”) responsible for millions of cases of human illnesses each year. Buggy Creek virus (BCRV) is a unique alphavirus that is transmitted by a cimicid insect, the swallow bug, and is amplified in two avian species: the house sparrow (Passer domesticus) and the cliff swallow (Petrochelidon pyrrhonota). BCRV, like many alphaviruses, exhibits age-dependent susceptibility where the young are most susceptible to developing disease and exhibit a high mortality rate. However, alphavirus disease etiology in nestling birds is unknown. In this study, we infected nestling house sparrows with Buggy Creek virus and measured virological, pathological, growth, and digestive parameters following infection. Buggy Creek virus caused severe encephalitis in all infected nestlings, and the peak viral concentration in brain tissue was over 34 times greater than any other tissue. Growth, tissue development, and digestive function were all significantly impaired during BCRV infection. However, based on histopathological analysis performed, this impairment does not appear to be the result of direct tissue damage by the virus, but likely caused by encephalitis and neuronal invasion and impairment of the central nervous system. This is the first study to examine the course of alphavirus diseases in nestling birds and these results will improve our understanding of age-dependent infections of alphaviruses in vertebrate hosts.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0195467","usgsCitation":"Fassbinder-Orth, C.A., Killpack, T.L., Goto, D.S., Rainwater, E.L., and Shearn-Bochsler, V.I., 2018, High costs of infection: Alphavirus infection reduces digestive function and bone and feather growth in nestling house sparrows (Passer domesticus): PLoS ONE, v. 13, no. 4, p. 1-20, https://doi.org/10.1371/journal.pone.0195467.","productDescription":"e0195467; 20 9.","startPage":"1","endPage":"20","ipdsId":"IP-090694","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":468828,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0195467","text":"Publisher Index Page"},{"id":353412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"4","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-06","publicationStatus":"PW","scienceBaseUri":"5afee6dbe4b0da30c1bfbec2","contributors":{"authors":[{"text":"Fassbinder-Orth, Carol A.","contributorId":176331,"corporation":false,"usgs":false,"family":"Fassbinder-Orth","given":"Carol","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":733406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Killpack, Tess L.","contributorId":204218,"corporation":false,"usgs":false,"family":"Killpack","given":"Tess","email":"","middleInitial":"L.","affiliations":[{"id":36879,"text":"Biology Department, Salem State University, 352 Lafayette Street, Salem MA, 01970","active":true,"usgs":false}],"preferred":false,"id":733409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goto, Dylan S.","contributorId":204216,"corporation":false,"usgs":false,"family":"Goto","given":"Dylan","email":"","middleInitial":"S.","affiliations":[{"id":36878,"text":"School of Medicine, 2500 California Plaza, Creighton University, Omaha, NE 68178","active":true,"usgs":false}],"preferred":false,"id":733407,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rainwater, Ellecia L.","contributorId":204217,"corporation":false,"usgs":false,"family":"Rainwater","given":"Ellecia","email":"","middleInitial":"L.","affiliations":[{"id":36878,"text":"School of Medicine, 2500 California Plaza, Creighton University, Omaha, NE 68178","active":true,"usgs":false}],"preferred":false,"id":733408,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shearn-Bochsler, Valerie I. 0000-0002-5590-6518 vbochsler@usgs.gov","orcid":"https://orcid.org/0000-0002-5590-6518","contributorId":3234,"corporation":false,"usgs":true,"family":"Shearn-Bochsler","given":"Valerie","email":"vbochsler@usgs.gov","middleInitial":"I.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":733405,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196530,"text":"70196530 - 2018 - Climate stability in Central Anatolia during the Messinian Salinity Crisis","interactions":[],"lastModifiedDate":"2018-04-13T12:28:11","indexId":"70196530","displayToPublicDate":"2018-04-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Climate stability in Central Anatolia during the Messinian Salinity Crisis","docAbstract":"Deposition of large amounts of evaporites and erosion of deep canyons within the Mediterranean Basin as a result of reduced basin connectivity with the Atlantic Ocean and the epicontinental Paratethys Sea characterized the Messinian Salinity Crisis (MSC, 5.97–5.33 Ma). The influence of the MSC on Mediterranean environmental conditions within the basin itself has been intensely studied from marine records, but reconstructing the impact of the MSC on circum-Mediterranean continental climate has been hampered by the absence of continuous sedimentary archives that span the duration of the event.
Here, we report results of a continental record of carbon (δ13C) and oxygen (δ18O) isotopes from lake carbonates framed by new magnetostratigraphic and 40Ar/39Ar dating, as well as by existing mammal stratigraphy (Kangal Basin, central Anatolia). The sampled section records continuous fluvio-lacustrine sedimentation from ~6.6 Ma to 4.9 Ma, which spans the MSC and the Miocene-Pliocene boundary. This dataset so far represents the only continuous continental paleoenvironmental record of the MSC in the circum-Mediterranean realm.
The Kangal Basin isotope record indicates a low degree of evaporation. Furthermore, covariance between δ13C and δ18O suggests a coupling between lake water balance and biologic productivity. Variations in δ13C and δ18O therefore likely reflect changes in the amount of incoming precipitation, rather than changes in δ18O values of incoming precipitation. The most prominent spike in δ13C and δ18O occurs during the acme of the MSC and is therefore interpreted to have resulted from a decrease in the amount of incoming moisture correlative to a period of vigorous erosion and sea level lowering in the Mediterranean Basin. Major sea level lowering of Mediterranean basin waters during the acme of the MSC could have therefore led to slightly dryer conditions over Anatolia, which is also suggested by modeling studies. Overall, changes in δ13C and δ18O values are small. Therefore, we surmise that the MSC had limited effects on the paleoenvironmental and paleoclimatic conditions in the Anatolian interior.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2018.03.001","usgsCitation":"Meijers, M.J., Peynircioglu, A.A., Cosca, M.A., Brocard, G.Y., Whitney, D.L., Langereis, C.G., and Mulch, A., 2018, Climate stability in Central Anatolia during the Messinian Salinity Crisis: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 498, p. 53-67, https://doi.org/10.1016/j.palaeo.2018.03.001.","productDescription":"15 p.","startPage":"53","endPage":"67","ipdsId":"IP-095374","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":468827,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://dspace.library.uu.nl/handle/1874/363327","text":"External Repository"},{"id":353419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 37.4,\n 39\n ],\n [\n 36.70,\n 39\n ],\n [\n 36.70,\n 40\n ],\n [\n 37.4,\n 40\n ],\n [\n 37.4,\n 39\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"498","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6dbe4b0da30c1bfbebe","contributors":{"authors":[{"text":"Meijers, Maud J.M.","contributorId":204225,"corporation":false,"usgs":false,"family":"Meijers","given":"Maud","email":"","middleInitial":"J.M.","affiliations":[{"id":36884,"text":"University of Frankfurt","active":true,"usgs":false}],"preferred":false,"id":733427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peynircioglu, Ahmet A","contributorId":204226,"corporation":false,"usgs":false,"family":"Peynircioglu","given":"Ahmet","email":"","middleInitial":"A","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":733428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cosca, Michael A. 0000-0002-0600-7663 mcosca@usgs.gov","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":1000,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","email":"mcosca@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":733426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brocard, Gilles Y.","contributorId":204227,"corporation":false,"usgs":false,"family":"Brocard","given":"Gilles","email":"","middleInitial":"Y.","affiliations":[{"id":16979,"text":"University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":733429,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitney, Donna L.","contributorId":187715,"corporation":false,"usgs":false,"family":"Whitney","given":"Donna","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":733430,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Langereis, Cor G.","contributorId":204228,"corporation":false,"usgs":false,"family":"Langereis","given":"Cor","email":"","middleInitial":"G.","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":733431,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mulch, Andreas","contributorId":194317,"corporation":false,"usgs":false,"family":"Mulch","given":"Andreas","email":"","affiliations":[],"preferred":false,"id":733432,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70196532,"text":"70196532 - 2018 - Measuring impact crater depth throughout the solar system","interactions":[],"lastModifiedDate":"2018-10-20T11:27:30","indexId":"70196532","displayToPublicDate":"2018-04-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2715,"text":"Meteoritics and Planetary Science","active":true,"publicationSubtype":{"id":10}},"title":"Measuring impact crater depth throughout the solar system","docAbstract":"One important, almost ubiquitous, tool for understanding the surfaces of solid bodies throughout the solar system is the study of impact craters. While measuring a distribution of crater diameters and locations is an important tool for a wide variety of studies, so too is measuring a crater's “depth.” Depth can inform numerous studies including the strength of a surface and modification rates in the local environment. There is, however, no standard data set, definition, or technique to perform this data‐gathering task, and the abundance of different definitions of “depth” and methods for estimating that quantity can lead to misunderstandings in and of the literature. In this review, we describe a wide variety of data sets and methods to analyze those data sets that have been, are currently, or could be used to derive different types of crater depth measurements. We also recommend certain nomenclature in doing so to help standardize practice in the field. We present a review section of all crater depths that have been published on different solar system bodies which shows how the field has evolved through time and how some common assumptions might not be wholly accurate. We conclude with several recommendations for researchers which could help different data sets to be more easily understood and compared.
","language":"English","publisher":"Wiley","doi":"10.1111/maps.12956","usgsCitation":"Robbins, S.J., Watters, W.A., Chappelow, J.E., Bray, V.J., Daubar, I.J., Craddock, R.A., Beyer, R.A., Landis, M., Ostrach, L.R., Tornabene, L.L., Riggs, J.D., and Weaver, B.P., 2018, Measuring impact crater depth throughout the solar system: Meteoritics and Planetary Science, v. 53, no. 4, p. 583-637, https://doi.org/10.1111/maps.12956.","productDescription":"55 p.","startPage":"583","endPage":"637","ipdsId":"IP-080986","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":468829,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/maps.12956","text":"Publisher Index Page"},{"id":353424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-20","publicationStatus":"PW","scienceBaseUri":"5afee6dbe4b0da30c1bfbebc","contributors":{"authors":[{"text":"Robbins, Stuart J.","contributorId":204229,"corporation":false,"usgs":false,"family":"Robbins","given":"Stuart","email":"","middleInitial":"J.","affiliations":[{"id":36712,"text":"Southwest Research Institute","active":true,"usgs":false}],"preferred":false,"id":733446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watters, Wesley A.","contributorId":204230,"corporation":false,"usgs":false,"family":"Watters","given":"Wesley","email":"","middleInitial":"A.","affiliations":[{"id":36886,"text":"Whitin Observatory, Department of Astronomy, Wellesley College","active":true,"usgs":false}],"preferred":false,"id":733447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chappelow, John E.","contributorId":204231,"corporation":false,"usgs":false,"family":"Chappelow","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":36887,"text":"Meteorifics Inc.","active":true,"usgs":false}],"preferred":false,"id":733448,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bray, Veronica J.","contributorId":204232,"corporation":false,"usgs":false,"family":"Bray","given":"Veronica","email":"","middleInitial":"J.","affiliations":[{"id":36888,"text":"Lunar and Planetary Laboratory, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":733449,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Daubar, Ingrid J.","contributorId":204233,"corporation":false,"usgs":false,"family":"Daubar","given":"Ingrid","email":"","middleInitial":"J.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":733450,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Craddock, Robert A.","contributorId":204234,"corporation":false,"usgs":false,"family":"Craddock","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":36889,"text":"Center for Earth and Planetary Studies, National Air and Space Museum, MRC-315, Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":733451,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beyer, Ross A.","contributorId":204235,"corporation":false,"usgs":false,"family":"Beyer","given":"Ross","email":"","middleInitial":"A.","affiliations":[{"id":36890,"text":"Sagan Center at the SETI Institute and NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":733452,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Landis, Margaret E.","contributorId":176713,"corporation":false,"usgs":false,"family":"Landis","given":"Margaret E.","affiliations":[{"id":25655,"text":"Lunar and Planetary Laboratory, 1629 E. University Blvd., The University of Arizona, Tucson, AZ 85721, United States","active":true,"usgs":false}],"preferred":false,"id":733453,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ostrach, Lillian R. 0000-0002-3107-7321 lostrach@usgs.gov","orcid":"https://orcid.org/0000-0002-3107-7321","contributorId":193078,"corporation":false,"usgs":true,"family":"Ostrach","given":"Lillian","email":"lostrach@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":733445,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tornabene, Livio L.","contributorId":203691,"corporation":false,"usgs":false,"family":"Tornabene","given":"Livio","email":"","middleInitial":"L.","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":733454,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Riggs, Jamie D.","contributorId":204236,"corporation":false,"usgs":false,"family":"Riggs","given":"Jamie","email":"","middleInitial":"D.","affiliations":[{"id":25254,"text":"Northwestern University","active":true,"usgs":false}],"preferred":false,"id":733455,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Weaver, Brian P.","contributorId":204237,"corporation":false,"usgs":false,"family":"Weaver","given":"Brian","email":"","middleInitial":"P.","affiliations":[{"id":36891,"text":"Statistical Sciences, CCS-6, Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":733456,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70194212,"text":"tm16A1 - 2018 - Department of the Interior metadata implementation guide—Framework for developing the metadata component for data resource management","interactions":[],"lastModifiedDate":"2018-10-01T12:23:21","indexId":"tm16A1","displayToPublicDate":"2018-04-12T15:10:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"16-A1","title":"Department of the Interior metadata implementation guide—Framework for developing the metadata component for data resource management","docAbstract":"The Department of the Interior (DOI) is a Federal agency with over 90,000 employees across 10 bureaus and 8 agency offices. Its primary mission is to protect and manage the Nation’s natural resources and cultural heritage; provide scientific and other information about those resources; and honor its trust responsibilities or special commitments to American Indians, Alaska Natives, and affiliated island communities. Data and information are critical in day-to-day operational decision making and scientific research. DOI is committed to creating, documenting, managing, and sharing high-quality data and metadata in and across its various programs that support its mission. Documenting data through metadata is essential in realizing the value of data as an enterprise asset. The completeness, consistency, and timeliness of metadata affect users’ ability to search for and discover the most relevant data for the intended purpose; and facilitates the interoperability and usability of these data among DOI bureaus and offices. Fully documented metadata describe data usability, quality, accuracy, provenance, and meaning.
Across DOI, there are different maturity levels and phases of information and metadata management implementations. The Department has organized a committee consisting of bureau-level points-of-contacts to collaborate on the development of more consistent, standardized, and more effective metadata management practices and guidance to support this shared mission and the information needs of the Department. DOI’s metadata implementation plans establish key roles and responsibilities associated with metadata management processes, procedures, and a series of actions defined in three major metadata implementation phases including: (1) Getting started—Planning Phase, (2) Implementing and Maintaining Operational Metadata Management Phase, and (3) the Next Steps towards Improving Metadata Management Phase. DOI’s phased approach for metadata management addresses some of the major data and metadata management challenges that exist across the diverse missions of the bureaus and offices. All employees who create, modify, or use data are involved with data and metadata management. Identifying, establishing, and formalizing the roles and responsibilities associated with metadata management are key to institutionalizing a framework of best practices, methodologies, processes, and common approaches throughout all levels of the organization; these are the foundation for effective data resource management. For executives and managers, metadata management strengthens their overarching views of data assets, holdings, and data interoperability; and clarifies how metadata management can help accelerate the compliance of multiple policy mandates. For employees, data stewards, and data professionals, formalized metadata management will help with the consistency of definitions, and approaches addressing data discoverability, data quality, and data lineage. In addition to data professionals and others associated with information technology; data stewards and program subject matter experts take on important metadata management roles and responsibilities as data flow through their respective business and science-related workflows. The responsibilities of establishing, practicing, and governing the actions associated with their specific metadata management roles are critical to successful metadata implementation.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Metadata in Book 16: Data resource management","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm16A1","collaboration":"Prepared in collaboration with Department of the Interior Data Resource Management in Support of the Department of the Interior Metadata Approach","usgsCitation":"Obuch, R.C., Carlino, Jennifer, Zhang, Lin, Blythe, Jonathan, Dietrich, Chris, Hawkinson, Christine, 2018, Department of the Interior metadata implementation guide—Framework for developing the metadata component for data resource management: U.S. Geological Survey Techniques and Methods, book 16, chap. A1, 14 p., https://doi.org/10.3133/tm16A1.","productDescription":"vi, 14 p.","numberOfPages":"24","onlineOnly":"Y","ipdsId":"IP-087710","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":353340,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/16/a1/tm16a1.pdf","text":"Report","size":"2.11 MB","linkFileType":{"id":1,"text":"pdf"},"description":"T&M 16-A1"},{"id":353339,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/16/a1/coverthb.jpg"}],"publicComments":"This report is Chapter 1 of Section A: Metadata in Book 16: Data resource management.","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Stream restoration goals include reducing erosion and increasing hyporheic exchange to promote biogeochemical processing and improve water quality. Little is known, however, about fine particle dynamics in response to stream restoration. Fine particles (<100 μm) are exchanged with transient storage areas near and within streambeds and banks. Fine particle retention directly impacts carbon and nutrient cycling by supporting benthic and hyporheic primary production, but overaccumulation of fine particle deposits can impair metabolism by burying benthic biofilms and reducing streambed permeability. We analyzed the transport and retention of water and fine particles at both the reach and local scales in a restored urban stream, 9 years postrestoration. We injected conservative solute and fine particle tracers under summer baseflow conditions and monitored their distribution between surface water, porewaters, and storage areas (i.e., biofilms, hyporheic zones, and slow surface waters). Comparison of the results to a nearby unrestored stream demonstrate that the restored reach had 10–45 times greater exchange of fine particles with transient storage zones, but 5 times lower rate of net particle immobilization. Local-scale results showed that restoration increased fine particle exchange with short-term storage areas but did not increase long-term particle retention. Thus, the restored stream rapidly exchanged fine sediments with transient storage areas, but did not store fine sediments as efficiently as the unrestored stream. The decreased retention of particulate organic matter in the restored stream may reduce biogeochemical processes, such as denitrification, by not providing sufficient organic carbon or the surface area required for microbial colonization.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2017JG004212","usgsCitation":"Drummond, J., Larsen, L., Gonzalez-Pinzon, R., Packman, A.I., and Harvey, J., 2018, Less fine particle retention in a restored versus unrestored urban stream: Balance between hyporheic exchange, resuspension, and immobilization: JGR Biogeosciences, v. 123, no. 4, p. 1425-1439, https://doi.org/10.1029/2017JG004212.","productDescription":"15 p.","startPage":"1425","endPage":"1439","ipdsId":"IP-094827","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468830,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017jg004212","text":"Publisher Index Page"},{"id":413622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"4","noUsgsAuthors":false,"publicationDate":"2018-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Drummond, J. D.","contributorId":9377,"corporation":false,"usgs":false,"family":"Drummond","given":"J. D.","affiliations":[],"preferred":false,"id":865493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larsen, L. G.","contributorId":50741,"corporation":false,"usgs":true,"family":"Larsen","given":"L. G.","affiliations":[],"preferred":false,"id":865494,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gonzalez-Pinzon, R.","contributorId":302802,"corporation":false,"usgs":false,"family":"Gonzalez-Pinzon","given":"R.","affiliations":[],"preferred":false,"id":865495,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Packman, A. I.","contributorId":198636,"corporation":false,"usgs":false,"family":"Packman","given":"A.","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":865496,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harvey, J. W. 0000-0002-2654-9873","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":39725,"corporation":false,"usgs":true,"family":"Harvey","given":"J. W.","affiliations":[],"preferred":false,"id":865497,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198739,"text":"70198739 - 2018 - Dam Removal and Fish Passage Improvement Influence Fish Assemblages in the Penobscot River, Maine","interactions":[],"lastModifiedDate":"2018-08-20T10:40:14","indexId":"70198739","displayToPublicDate":"2018-04-12T08:31:47","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Dam Removal and Fish Passage Improvement Influence Fish Assemblages in the Penobscot River, Maine","docAbstract":"Dams and their impoundments disrupt river habitat connectivity to the detriment of migratory fishes. Removal of dams improves riverine connectivity and lotic habitat, which benefits not only these fishes but also resident fluvial specialist species. Restoration efforts on the Penobscot River, Maine, are among the largest recently completed in the United States and include the removal of the two lowermost dams and improvements to fish passage at several remaining barriers. We assessed fish assemblages in the main‐stem river and several major tributaries before (2010–2012) and after (2014–2016) dam removal using boat electrofishing surveys and a stratified random sampling design. In total, we sampled 303 km of shoreline and captured 107,335 individual fish representing 39 species. Similarity indices and rarefaction curves indicated that significant changes in fish assemblage composition occurred in reaches that underwent both habitat and connectivity changes (i.e., directly above removed dams). The newly connected reaches became more similar in fish assemblage composition, as demonstrated by an average increase of 31% in similarity scores. The changes in similarity score in these reaches were driven by increasing access for anadromous fishes and decreasing abundances of slow‐water specialist species. For example, we observed a marked reduction in lacustrine species in former impoundments. These assemblage shifts were further illustrated by nonmetric multidimensional scaling in which sites directly above former dams exhibited the largest ordinal shifts immediately following dam removal. We also found all anadromous species in greatest abundance below the lowermost dam during each respective sampling period, though we did find some anadromous species above the lowermost dam during postremoval sampling. Our results demonstrate the potential for large dam removal projects to restore both fluvial and anadromous fish assemblages.
","language":"English","publisher":"American Fisheries Society ","doi":"10.1002/tafs.10053","usgsCitation":"Watson, J.M., Coghlan, S.M., Zydlewski, J.D., Hayes, D.B., and Kiraly, I.A., 2018, Dam Removal and Fish Passage Improvement Influence Fish Assemblages in the Penobscot River, Maine: Transactions of the American Fisheries Society, v. 147, no. 3, p. 525-540, https://doi.org/10.1002/tafs.10053.","productDescription":"16 p.","startPage":"525","endPage":"540","ipdsId":"IP-088581","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":356606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -68.82659912109375,\n 45.583289756006316\n ],\n [\n -68.5382080078125,\n 45.59290020826985\n ],\n [\n -68.45855712890625,\n 45.56502536350451\n ],\n [\n -68.47366333007812,\n 45.468799075209894\n ],\n [\n -68.64120483398438,\n 45.32801318215748\n ],\n [\n -68.69888305664062,\n 45.29421101337773\n ],\n [\n -68.9007568359375,\n 45.27488643704894\n ],\n [\n -69.18228149414062,\n 45.30000710263142\n ],\n [\n -69.3621826171875,\n 45.31256326358576\n ],\n [\n -69.37179565429688,\n 45.155895559488265\n ],\n [\n -68.79364013671875,\n 45.258455371422535\n ],\n [\n -68.66867065429688,\n 45.17235628126675\n ],\n [\n -68.70574951171875,\n 45.059941562221226\n ],\n [\n -68.73870849609375,\n 44.84029065139799\n ],\n [\n -68.8623046875,\n 44.75453548416007\n ],\n [\n -68.895263671875,\n 44.65107027453459\n ],\n [\n -68.8623046875,\n 44.52588470040996\n ],\n [\n -68.78814697265625,\n 44.4808302785626\n ],\n [\n -68.719482421875,\n 44.56503415498704\n ],\n [\n -68.8018798828125,\n 44.72917434046452\n ],\n [\n -68.62884521484375,\n 44.85586880735725\n ],\n [\n -68.58489990234375,\n 45.01918507438176\n ],\n [\n -68.5931396484375,\n 45.27488643704894\n ],\n [\n -68.36242675781249,\n 45.44086267178177\n ],\n [\n -68.302001953125,\n 45.52944081525666\n ],\n [\n -68.411865234375,\n 45.62172169252446\n ],\n [\n -68.6151123046875,\n 45.70234306798271\n ],\n [\n -68.807373046875,\n 45.68123916702059\n ],\n [\n -68.82659912109375,\n 45.583289756006316\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"147","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-12","publicationStatus":"PW","scienceBaseUri":"5b98a2d9e4b0702d0e842ffb","contributors":{"authors":[{"text":"Watson, Jonathan M.","contributorId":207174,"corporation":false,"usgs":false,"family":"Watson","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":743029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coghlan, Stephen M. Jr.","contributorId":169678,"corporation":false,"usgs":false,"family":"Coghlan","given":"Stephen","suffix":"Jr.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":743030,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":742808,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, Daniel B.","contributorId":16799,"corporation":false,"usgs":true,"family":"Hayes","given":"Daniel","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":743031,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kiraly, Ian A.","contributorId":169709,"corporation":false,"usgs":false,"family":"Kiraly","given":"Ian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":743032,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}