{"pageNumber":"500","pageRowStart":"12475","pageSize":"25","recordCount":46666,"records":[{"id":70187391,"text":"70187391 - 2014 - Mark-resight abundance estimation under incomplete identification of marked individuals","interactions":[],"lastModifiedDate":"2017-05-01T12:22:50","indexId":"70187391","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Mark-resight abundance estimation under incomplete identification of marked individuals","docAbstract":"
  1. Often less expensive and less invasive than conventional mark–recapture, so-called 'mark-resight' methods are popular in the estimation of population abundance. These methods are most often applied when a subset of the population of interest is marked (naturally or artificially), and non-invasive sighting data can be simultaneously collected for both marked and unmarked individuals. However, it can often be difficult to identify marked individuals with certainty during resighting surveys, and incomplete identification of marked individuals is potentially a major source of bias in mark-resight abundance estimators. Previously proposed solutions are ad hoc and will tend to underperform unless marked individual identification rates are relatively high (>90%) or individual sighting heterogeneity is negligible.
  2. Based on a complete data likelihood, we present an approach that properly accounts for uncertainty in marked individual detection histories when incomplete identifications occur. The models allow for individual heterogeneity in detection, sampling with (e.g. Poisson) or without (e.g. Bernoulli) replacement, and an unknown number of marked individuals. Using a custom Markov chain Monte Carlo algorithm to facilitate Bayesian inference, we demonstrate these models using two example data sets and investigate their properties via simulation experiments.
  3. We estimate abundance for grassland sparrow populations in Pennsylvania, USA when sampling was conducted with replacement and the number of marked individuals was either known or unknown. To increase marked individual identification probabilities, extensive territory mapping was used to assign incomplete identifications to individuals based on location. Despite marked individual identification probabilities as low as 67% in the absence of this territorial mapping procedure, we generally found little return (or need) for this time-consuming investment when using our proposed approach. We also estimate rookery abundance from Alaskan Steller sea lion counts when sampling was conducted without replacement, the number of marked individuals was unknown, and individual heterogeneity was suspected as non-negligible.
  4. In terms of estimator performance, our simulation experiments and examples demonstrated advantages of our proposed approach over previous methods, particularly when marked individual identification probabilities are low and individual heterogeneity levels are high. Our methodology can also reduce field effort requirements for marked individual identification, thus, allowing potential investment into additional marking events or resighting surveys.
","language":"English","publisher":"Wiley","doi":"10.1111/2041-210X.12140","usgsCitation":"McClintock, B.T., Hill, J.M., Fritz, L., Chumbley, K., Luxa, K., and Diefenbach, D.R., 2014, Mark-resight abundance estimation under incomplete identification of marked individuals: Methods in Ecology and Evolution, v. 5, no. 12, p. 1294-1304, https://doi.org/10.1111/2041-210X.12140.","productDescription":"11 p.","startPage":"1294","endPage":"1304","ipdsId":"IP-045819","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340667,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-12-14","publicationStatus":"PW","scienceBaseUri":"5908492ce4b0fc4e448ffd68","contributors":{"authors":[{"text":"McClintock, Brett T. 0000-0001-6154-4376","orcid":"https://orcid.org/0000-0001-6154-4376","contributorId":83785,"corporation":false,"usgs":true,"family":"McClintock","given":"Brett","email":"","middleInitial":"T.","affiliations":[{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":693737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Jason M.","contributorId":191616,"corporation":false,"usgs":false,"family":"Hill","given":"Jason","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":693738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fritz, Lowell","contributorId":191659,"corporation":false,"usgs":false,"family":"Fritz","given":"Lowell","email":"","affiliations":[],"preferred":false,"id":693739,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chumbley, Kathryn","contributorId":191660,"corporation":false,"usgs":false,"family":"Chumbley","given":"Kathryn","email":"","affiliations":[],"preferred":false,"id":693740,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luxa, Katie","contributorId":191661,"corporation":false,"usgs":false,"family":"Luxa","given":"Katie","email":"","affiliations":[],"preferred":false,"id":693741,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693733,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70124910,"text":"70124910 - 2014 - Unmanned aircraft systems (UAS) activities at the Department of the Interior","interactions":[],"lastModifiedDate":"2020-12-31T20:08:30.909493","indexId":"70124910","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Unmanned aircraft systems (UAS) activities at the Department of the Interior","docAbstract":"

The U.S. Department of the Interior (DOI) is responsible for protecting and managing the natural resources and heritage on almost 20% of the land in the United States. The DOI’s mission requires access to remotely sensed data over vast lands, including areas that are remote and potentially dangerous to access. Unmanned Aircraft Systems (UAS) technology has the potential to enable the DOI to be a better steward of the land by: (1) Improving natural hazard forecasting and the analysis of the impacts. (2) Improving the understanding of climate change to better plan for likely impacts. (3) Developing precipitation and evaporation forecasting to better manage water resources. (4) Monitoring Arctic ice change and its impacts on ecosystems, coasts, and transportation. (5) Increasing safety and effectiveness of wildland fire management. (6) Enhancing search and rescue capabilities. (7) Broadening the abilities to monitor environmental or landscape conditions and changes. (8) Better understanding and protecting the Nation’s ecosystems. The initial operational testing and evaluations performed by the DOI have proven that UAS technology can be used to support many of the Department’s activities. UAS technology provides scientists a way to look longer, closer and more frequently at some of Earth’s most remote areas—places that were previously too dangerous or expensive to monitor in detail. The flexibility of operations and relative low cost to purchase and operate Small Unmanned Aerial System (sUAS) enhances the ability to track long-term landscape and environmental change. The initial testing indicates the operational costs are approximately 10% of traditional manned aircraft. In addition, users can quickly assess landscape-altering events such as wildland fires, floods and volcanoes. UAS technology will allow the DOI to do more with less and in the process enhance the Department’s ability to provide unbiased scientific information to help stakeholders make informed decisions. It will also provide a digital baseline record that can be archived and used when monitoring future events or conditions. One possible future scenario has scientists carrying sUAS into the field allowing quick deployment and operation to observe the environment or for emergency response. This scenario could also include a persistent monitoring capability provided by a UAS that can stay airborne over a small geographic area for days or weeks, or possibly longer. While the DOI focus is on sUAS, the Department recognizes that larger UAS systems will also play a role in meeting its mission. The Department anticipates meeting long-duration or specialized acquisition commitments, such as state or national aerial photography, by collaboration with other agencies or through commercial contracts. Even though the DOI continues to evaluate UAS and sensor technology to meet the Department’s mission, some of its bureaus are already moving towards an operational capability. The authors fully anticipate that by 2020 UAS will emerge as one of the primary platforms for DOI remote sensing applications.

","language":"English","publisher":"ASPRS","usgsCitation":"Quirk, B.K., and Hutt, M.E., 2014, Unmanned aircraft systems (UAS) activities at the Department of the Interior: Photogrammetric Engineering and Remote Sensing, v. 80, no. 12, p. 1089-1095.","productDescription":"7 p.","startPage":"1089","endPage":"1095","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057845","costCenters":[{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true}],"links":[{"id":324952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5780cec1e4b08116168223f4","contributors":{"authors":[{"text":"Quirk, Bruce K. quirk@usgs.gov","contributorId":4285,"corporation":false,"usgs":true,"family":"Quirk","given":"Bruce","email":"quirk@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":519471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hutt, Michael E. 0000-0002-3869-6096 mehutt@usgs.gov","orcid":"https://orcid.org/0000-0002-3869-6096","contributorId":5037,"corporation":false,"usgs":true,"family":"Hutt","given":"Michael","email":"mehutt@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":641982,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189098,"text":"70189098 - 2014 - Spectroscopic remote sensing of plant stress at leaf and canopy levels using the chlorophyll 680 nm absorption feature with continuum removal","interactions":[],"lastModifiedDate":"2017-06-29T14:57:04","indexId":"70189098","displayToPublicDate":"2014-11-28T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Spectroscopic remote sensing of plant stress at leaf and canopy levels using the chlorophyll 680 nm absorption feature with continuum removal","docAbstract":"

This paper explores the use of spectral feature analysis to detect plant stress in visible/near infrared wavelengths. A time series of close range leaf and canopy reflectance data of two plant species grown in hydrocarbon-contaminated soil was acquired with a portable spectrometer. The ProSpecTIR-VS airborne imaging spectrometer was used to obtain far range hyperspectral remote sensing data over the field experiment. Parameters describing the chlorophyll 680 nm absorption feature (depth, width, and area) were derived using continuum removal applied to the spectra. A new index, the Plant Stress Detection Index (PSDI), was calculated using continuum-removed values near the chlorophyll feature centre (680 nm) and on the green-edge (560 and 575 nm). Chlorophyll feature’s depth, width and area, the PSDI and a narrow-band normalised difference vegetation index were evaluated for their ability to detect stressed plants. The objective was to analyse how the parameters/indices were affected by increasing degrees of plant stress and to examine their utility as plant stress indicators at the remote sensing level (e.g. airborne sensor). For leaf data, PSDI and the chlorophyll feature area revealed the highest percentage (67–70%) of stressed plants. The PSDI also proved to be the best constraint for detecting the stress in hydrocarbon-impacted plants with field canopy spectra and airborne imaging spectroscopy data. This was particularly true using thresholds based on the ASD canopy data and considering the combination of higher percentage of stressed plants detected (across the thresholds) and fewer false-positives.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.isprsjprs.2014.08.015","usgsCitation":"Sanches, I.D., Souza Filho, C.R., and Kokaly, R.F., 2014, Spectroscopic remote sensing of plant stress at leaf and canopy levels using the chlorophyll 680 nm absorption feature with continuum removal: ISPRS Journal of Photogrammetry and Remote Sensing, v. 97, p. 111-122, https://doi.org/10.1016/j.isprsjprs.2014.08.015.","productDescription":"12 p. ","startPage":"111","endPage":"122","ipdsId":"IP-053450","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","city":"Paulinia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -47.147483825683594,\n -22.808465975108554\n ],\n [\n -47.133750915527344,\n -22.815428289744773\n ],\n [\n -47.12242126464844,\n -22.808149497806834\n ],\n [\n -47.111091613769524,\n -22.79833833687238\n ],\n [\n -47.10491180419922,\n -22.78694384438262\n ],\n [\n -47.098045349121094,\n -22.76763433680151\n ],\n [\n -47.10456848144531,\n -22.750221783207994\n ],\n [\n -47.12242126464844,\n -22.724573799995852\n ],\n [\n -47.139244079589844,\n -22.709056018423638\n ],\n [\n -47.157440185546875,\n -22.7087393106849\n ],\n [\n -47.18833923339844,\n -22.714756632433836\n ],\n [\n -47.22095489501953,\n -22.72647381558556\n ],\n [\n -47.20996856689453,\n -22.74673900612644\n ],\n [\n -47.18559265136719,\n -22.77016688690709\n ],\n [\n -47.147483825683594,\n -22.808465975108554\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"97","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595611bde4b0d1f9f050678e","contributors":{"authors":[{"text":"Sanches, Ieda Del’Arco","contributorId":193998,"corporation":false,"usgs":false,"family":"Sanches","given":"Ieda","email":"","middleInitial":"Del’Arco","affiliations":[],"preferred":false,"id":702852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Souza Filho, Carlos Roberto de","contributorId":193999,"corporation":false,"usgs":false,"family":"Souza Filho","given":"Carlos","email":"","middleInitial":"Roberto de","affiliations":[],"preferred":false,"id":702853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101 raymond@usgs.gov","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":150717,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond","email":"raymond@usgs.gov","middleInitial":"F.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":702851,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70135293,"text":"70135293 - 2014 - Investigating organic matter in Fanno Creek, Oregon, Part 3 of 3: identifying and quantifying sources of organic matter to an urban stream","interactions":[],"lastModifiedDate":"2014-12-12T10:26:17","indexId":"70135293","displayToPublicDate":"2014-11-27T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Investigating organic matter in Fanno Creek, Oregon, Part 3 of 3: identifying and quantifying sources of organic matter to an urban stream","docAbstract":"

The sources, transport, and characteristics of organic matter (OM) in Fanno Creek, an urban stream in northwest Oregon, were assessed and quantified using: (1) optical instruments to calculate transported loads of dissolved, particulate, and total organic carbon, (2) fluorescence spectroscopy and stable isotope ratios (δ13C, δ15N) to elucidate sources and chemical properties of OM throughout the basin, and (3) synoptic sampling to investigate seasonal and hydrologic variations in the characteristics and quantity of OM. Results from this study indicate that of the roughly 324 (±2.9%) metric tons (tonnes, t) of organic carbon exported from the basin during March 2012 to March 2013, most of the OM in Fanno Creek was dissolved (72%) and was present year-round at concentrations exceeding 3–4 milligrams of carbon per liter, whereas particulate carbon typically was mobilized and transported only by higher-flow conditions. The isotopic and fluorescence characteristics of Fanno Creek OM indicate that the carbon originates primarily from terrestrial inputs, most likely riparian vegetative biomass that enters the stream via litterfall and overland transport and then travels through the system episodically as a result of hydrologic processes. The amount of OM exported from the Fanno Creek drainage over the course of a year in this study is consistent with previous estimates of annual riparian litterfall in or near the creek. Although the creek channel is actively eroding, most bank material has too little OM for that to be a dominant source of OM to the stream. Fluorescence data revealed that the OM contains primarily humic and fulvic-like components that become less aromatic as the OM moves downstream. The most significant seasonal variation was associated with OM transported in the first storms of the autumn season (fall flush). That material was characteristically different, with a larger fraction of microbially derived OM that probably resulted from an accumulation of easy-to-mobilize and decomposing material in the streambed during previous months of summertime low-flow conditions. The first fall flush produced the highest concentrations of OM of the entire year, and the resulting load of mobilized and decomposing OM resulted in a significant oxygen demand immediately downstream in the Tualatin River.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2014.07.033","usgsCitation":"Goldman, J.H., Rounds, S.A., Keith, M., and Sobieszczyk, S., 2014, Investigating organic matter in Fanno Creek, Oregon, Part 3 of 3: identifying and quantifying sources of organic matter to an urban stream: Journal of Hydrology, v. 519, no. Part D, p. 3028-3041, https://doi.org/10.1016/j.jhydrol.2014.07.033.","productDescription":"14 p.","startPage":"3028","endPage":"3041","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050727","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":296635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Oregon","otherGeospatial":"Fanno Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.8216552734375,\n 45.37240823082044\n ],\n [\n -122.8216552734375,\n 45.50875295937584\n ],\n [\n -122.66853332519531,\n 45.50875295937584\n ],\n [\n -122.66853332519531,\n 45.37240823082044\n ],\n [\n -122.8216552734375,\n 45.37240823082044\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"519","issue":"Part D","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"548c1fd4e4b0ca8c43c3696f","contributors":{"authors":[{"text":"Goldman, Jami H. 0000-0001-5466-912X jgoldman@usgs.gov","orcid":"https://orcid.org/0000-0001-5466-912X","contributorId":4848,"corporation":false,"usgs":true,"family":"Goldman","given":"Jami","email":"jgoldman@usgs.gov","middleInitial":"H.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":527017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":527018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keith, Mackenzie K. mkeith@usgs.gov","contributorId":4140,"corporation":false,"usgs":true,"family":"Keith","given":"Mackenzie K.","email":"mkeith@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":527019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sobieszczyk, Steven 0000-0002-0834-8437 ssobie@usgs.gov","orcid":"https://orcid.org/0000-0002-0834-8437","contributorId":885,"corporation":false,"usgs":true,"family":"Sobieszczyk","given":"Steven","email":"ssobie@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":527020,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70135297,"text":"70135297 - 2014 - Investigating organic matter in Fanno Creek, Oregon, Part 2 of 3: sources, sinks, and transport of organic matter with fine sediment","interactions":[],"lastModifiedDate":"2018-01-23T11:28:51","indexId":"70135297","displayToPublicDate":"2014-11-27T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Investigating organic matter in Fanno Creek, Oregon, Part 2 of 3: sources, sinks, and transport of organic matter with fine sediment","docAbstract":"

Organic matter (OM) is abundant in Fanno Creek, Oregon, USA, and has been tied to a variety of water-quality concerns, including periods of low dissolved oxygen downstream in the Tualatin River, Oregon. The key sources of OM in Fanno Creek and other Tualatin River tributaries have not been fully identified, although isotopic analyses from previous studies indicated a predominantly terrestrial source. This study investigates the role of fine sediment erosion and deposition (mechanisms and spatial patterns) in relation to OM transport. Geomorphic mapping within the Fanno Creek floodplain shows that a large portion (approximately 70%) of the banks are eroding or subject to erosion, likely as a result of the imbalance caused by anthropogenic alteration. Field measurements of long- and short-term bank erosion average 4.2 cm/year and average measurements of deposition for the watershed are 4.8 cm/year. The balance between average annual erosion and deposition indicates an export of 3,250 metric tons (tonnes, t) of fine sediment to the Tualatin River—about twice the average annual export of 1,880 t of sediment at a location 2.4 km from the creek’s mouth calculated from suspended sediment load regressions from continuous turbidity data and suspended sediment samples. Carbon content from field samples of bank material, combined with fine sediment export rates, indicates that about 29–67 t of carbon, or about 49–116 t of OM, from bank sediment may be exported to the Tualatin River from Fanno Creek annually, an estimate that is a lower bound because it does not account for the mass wasting of organic-rich O and A soil horizons that enter the stream.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2014.07.027","usgsCitation":"Keith, M., Sobieszczyk, S., Goldman, J.H., and Rounds, S.A., 2014, Investigating organic matter in Fanno Creek, Oregon, Part 2 of 3: sources, sinks, and transport of organic matter with fine sediment: Journal of Hydrology, v. 519, no. Part D, p. 3010-3027, https://doi.org/10.1016/j.jhydrol.2014.07.027.","productDescription":"18 p.","startPage":"3010","endPage":"3027","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050175","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":296634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Oregon","otherGeospatial":"Fanno Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.8216552734375,\n 45.37240823082044\n ],\n [\n -122.8216552734375,\n 45.50875295937584\n ],\n [\n -122.66853332519531,\n 45.50875295937584\n ],\n [\n -122.66853332519531,\n 45.37240823082044\n ],\n [\n -122.8216552734375,\n 45.37240823082044\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"519","issue":"Part D","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"548c1fd3e4b0ca8c43c3696d","contributors":{"authors":[{"text":"Keith, Mackenzie K. mkeith@usgs.gov","contributorId":4140,"corporation":false,"usgs":true,"family":"Keith","given":"Mackenzie K.","email":"mkeith@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":527021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sobieszczyk, Steven 0000-0002-0834-8437 ssobie@usgs.gov","orcid":"https://orcid.org/0000-0002-0834-8437","contributorId":885,"corporation":false,"usgs":true,"family":"Sobieszczyk","given":"Steven","email":"ssobie@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":527022,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldman, Jami H. 0000-0001-5466-912X jgoldman@usgs.gov","orcid":"https://orcid.org/0000-0001-5466-912X","contributorId":4848,"corporation":false,"usgs":true,"family":"Goldman","given":"Jami","email":"jgoldman@usgs.gov","middleInitial":"H.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":527023,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":527024,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70140648,"text":"70140648 - 2014 - Subsurface geologic features of the 2011 central Virginia earthquakes revealed by airborne geophysics","interactions":[],"lastModifiedDate":"2017-04-14T16:39:38","indexId":"70140648","displayToPublicDate":"2014-11-26T13:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"Subsurface geologic features of the 2011 central Virginia earthquakes revealed by airborne geophysics","docAbstract":"

Characterizing geologic features associated with major earthquakes provides insights into mechanisms contributing to fault slip and assists evaluation of seismic hazard. We use high-resolution airborne geophysical data combined with ground sample measurements to image subsurface geologic features associated with the 2011 moment magnitude (Mw) 5.8 central Virginia (USA) intraplate earthquake and its aftershocks. Geologic mapping and magnetic data analyses suggest that the earthquake occurred near a complex juncture of geologic contacts. These contacts also intersect a >60-km-long linear gravity gradient. Distal aftershocks occurred in tight, ~1-km-wide clusters near other obliquely oriented contacts that intersect gravity gradients, in contrast to more linearly distributed seismicity observed at other seismic zones. These data and corresponding models suggest that local density contrasts (manifested as gravity gradients) modified the nearby stress regime in a manner favoring failure. However, along those gradients seismic activity is localized near structural complexities, suggesting a significant contribution from variations in associated rock characteristics such as rheological weakness and/or rock permeability, which may be enhanced in those areas. Regional magnetic data show a broader bend in geologic structures within the Central Virginia seismic zone, suggesting that seismic activity may also be enhanced in other nearby areas with locally increased rheological weaknesses and/or rock permeability. In contrast, away from the Mw5.8 epicenter, geophysical lineaments are nearly continuous for tens of kilometers, especially toward the northeast. Continuity of associated geologic structures probably contributed to efficient propagation of seismic energy in that direction, consistent with moderate to high levels of damage from Louisa County to Washington, D.C., and neighboring communities.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/2015.2509(17)","usgsCitation":"Shah, A.K., Horton, J., Burton, W.C., Spears, D., and Gilmer, A., 2014, Subsurface geologic features of the 2011 central Virginia earthquakes revealed by airborne geophysics: GSA Special Papers, v. 509, p. 509-517, https://doi.org/10.1130/2015.2509(17).","productDescription":"9 p.","startPage":"509","endPage":"517","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049259","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":297893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","volume":"509","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2abae4b08de9379b31af","contributors":{"authors":[{"text":"Shah, Anjana K. 0000-0002-3198-081X ashah@usgs.gov","orcid":"https://orcid.org/0000-0002-3198-081X","contributorId":2297,"corporation":false,"usgs":true,"family":"Shah","given":"Anjana","email":"ashah@usgs.gov","middleInitial":"K.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":540283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horton, J. Wright Jr. 0000-0001-6756-6365 whorton@usgs.gov","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":423,"corporation":false,"usgs":true,"family":"Horton","given":"J. Wright","suffix":"Jr.","email":"whorton@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":540284,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burton, William C. 0000-0001-7519-5787 bburton@usgs.gov","orcid":"https://orcid.org/0000-0001-7519-5787","contributorId":1293,"corporation":false,"usgs":true,"family":"Burton","given":"William","email":"bburton@usgs.gov","middleInitial":"C.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":540285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spears, David 0000-0001-8599-3125","orcid":"https://orcid.org/0000-0001-8599-3125","contributorId":139189,"corporation":false,"usgs":false,"family":"Spears","given":"David","email":"","affiliations":[{"id":12690,"text":"Virginia Department of Mines, Minerals, and Energy, Charlottesville, VA","active":true,"usgs":false}],"preferred":false,"id":540286,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gilmer, Amy K","contributorId":139190,"corporation":false,"usgs":false,"family":"Gilmer","given":"Amy K","affiliations":[{"id":12691,"text":"DMME","active":true,"usgs":false}],"preferred":false,"id":540287,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70134354,"text":"sir20145179 - 2014 - Seismic instrumentation plan for the Hawaiian Volcano Observatory","interactions":[],"lastModifiedDate":"2019-03-15T10:16:08","indexId":"sir20145179","displayToPublicDate":"2014-11-25T15:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5179","title":"Seismic instrumentation plan for the Hawaiian Volcano Observatory","docAbstract":"

The seismic network operated by the U.S. Geological Survey’s Hawaiian Volcano Observatory (HVO) is the main source of authoritative data for reporting earthquakes in the State of Hawaii, including those that occur on the State’s six active volcanoes (Kīlauea, Mauna Loa, Hualālai, Mauna Kea, Haleakalā, Lō‘ihi). Of these volcanoes, Kīlauea and Mauna Loa are considered “very high threat” in a report on the rationale for a National Volcanic Early Warning System (NVEWS) (Ewert and others, 2005). This seismic instrumentation plan assesses the current state of HVO’s seismic network with respect to the State’s active volcanoes and calculates the number of stations that are needed to upgrade the current network to provide a seismic early warning capability for forecasting volcanic activity. Further, the report provides proposed priorities for upgrading the seismic network and a cost assessment for both the installation costs and maintenance costs of the improved network that are required to fully realize the potential of the early warning system.

HVO has operated seismometers on the Island of Hawai‘i since 1912. Currently, the seismic network includes more than 70 stations from four different organizations. Generally, the Island of Hawai‘i has most of the seismic stations in the network (and most of the activity), with the density of seismic stations increasing from the northern part of the island to the south-southeast. The strength of the current network, based on theoretical detection and location capabilities, is at the summit of Kīlauea Volcano and Kīlauea’s upper East Rift Zone and Pu‘u ‘Ō‘ō—where few, if any, upgrades need to be made to the seismic network. The network in the region between Kīlauea and Mauna Loa is slightly weaker, as is the summit of Mauna Loa. In general, the rift zones of each volcano are more poorly monitored seismically than the summits and thus require a greater number of stations to achieve a volcanic early warning capability for monitoring seismicity.

Priorities for new seismic installations on the volcanoes depend on several factors, including current activity, historical activity, population exposure, and current network quality. On Kīlauea, new installations on the middle East Rift Zone, lower East Rift Zone, and lower Southwest Rift Zone appear to be the highest priorities. On Mauna Loa, improvements to the summit seismic network should be prioritized based on the analysis of the data, followed by the installation of a sparse network on both rift zones. Once installed, the next priority would be to create denser seismic networks on the rift zones, particularly where eruptions could quickly threaten populated areas (middle Northeast Rift Zone, lower Southwest Rift Zone). On Hualālai, analysis of the data indicates that the Northwest Rift Zone is the most important priority, particularly where it runs through the population center of Kalaoa. Hualālai’s South Rift Zone appears to be the lowest priority for additional seismic instrumentation of any rift zone on Kīlauea, Mauna Loa, or Hualālai because of its low historical activity and lack of population exposure. Mauna Kea and Haleakalā have less active historical eruptive activity and thus have more modest proposed upgrades to seismic instrumentation.

The installation of new seismic stations is only the first part of building a volcanic early warning capability for seismicity in the State of Hawaii. Additional personnel will likely be required to study the volcanic processes at work under each volcano, analyze the current seismic activity at a level sufficient for early warning, build new tools for monitoring, maintain seismic computing resources, and maintain the new seismic stations.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145179","usgsCitation":"Thelen, W.A., 2014, Seismic instrumentation plan for the Hawaiian Volcano Observatory: U.S. Geological Survey Scientific Investigations Report 2014-5179, v, 43 p., https://doi.org/10.3133/sir20145179.","productDescription":"v, 43 p.","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-054008","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":296311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145179.gif"},{"id":296310,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5179/downloads/sir2014-5179.pdf","size":"5.9 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296308,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5179/"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.09649658203125,\n 18.916679786648565\n ],\n [\n -156.09649658203125,\n 20.262197124246534\n ],\n [\n -154.77813720703125,\n 20.262197124246534\n ],\n [\n -154.77813720703125,\n 18.916679786648565\n ],\n [\n -156.09649658203125,\n 18.916679786648565\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54759a1ce4b042f27ef134e1","contributors":{"authors":[{"text":"Thelen, Weston A. 0000-0003-2534-5577 wthelen@usgs.gov","orcid":"https://orcid.org/0000-0003-2534-5577","contributorId":4126,"corporation":false,"usgs":true,"family":"Thelen","given":"Weston","email":"wthelen@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":525932,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70129824,"text":"fs20143111 - 2014 - The 3D Elevation Program: summary for Ohio","interactions":[],"lastModifiedDate":"2016-08-17T15:17:51","indexId":"fs20143111","displayToPublicDate":"2014-11-25T14:45:00","publicationYear":"2014","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":"2014-3111","title":"The 3D Elevation Program: summary for Ohio","docAbstract":"

Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Ohio, elevation data are critical for agriculture and precision farming, natural resources conservation, flood risk management, infrastructure and construction management, water supply and quality, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.

\n

The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 interferometric synthetic aperture radar (ifsar) data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the Office of Management and Budget Circular A–16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation's natural and constructed features.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143111","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for Ohio (Version 1.0: Originally posted November 25, 2014; Version 1.1: June 25, 2015): U.S. Geological Survey Fact Sheet 2014-3111, 2 p., https://doi.org/10.3133/fs20143111.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059922","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":296304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143111.jpg"},{"id":296300,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3111/"},{"id":296303,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3111/pdf/fs2014-3111.pdf","text":"Report","size":"686 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\"}}]}","edition":"Version 1.0: Originally posted November 25, 2014; Version 1.1: June 25, 2015","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54759a1de4b042f27ef134ea","contributors":{"authors":[{"text":"Carswell, William J. Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":525884,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70133415,"text":"fs20143116 - 2014 - Public-supply water use in Kansas, 1990-2012","interactions":[],"lastModifiedDate":"2014-11-25T11:07:11","indexId":"fs20143116","displayToPublicDate":"2014-11-25T12:00:00","publicationYear":"2014","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":"2014-3116","title":"Public-supply water use in Kansas, 1990-2012","docAbstract":"

This fact sheet describes water-use data collection and quantities of surface water and groundwater diverted for public supply in Kansas for the years 1990 through 2012. Data used in this fact sheet are from the Kansas Department of Agriculture’s Division of Water Resources and the Kansas Water Office. Water used for public supply represents about 10 percent of all reported water withdrawals in Kansas. Between 1990 and 2012, annual withdrawals for public supply ranged from a low of 121 billion gallons in 1993 to a high of 159 billion gallons in 2012. Differences in annual withdrawals were associated primarily with climatic fluctuations. Six suppliers distributed about one-half of the total water withdrawn for public supply, and nearly three-quarters of the surface water. Surface water represented between 52 and 61 percent of total annual withdrawals for public supply. The proportion of surface water obtained through contracts from Federal reservoirs increased from less than 5 percent in the 1990s to 8 percent in 2011 and 2012. More than 99 percent of the reported water withdrawn for public supply in Kansas in 2012 was metered, which was an increase from 92 percent in 1990. State population increased steadily from 2.5 million people in 1990 to 2.9 million in 2012. Recent estimates indicate that about 95 percent of the total population was served by public water supply; the remainder obtained water from other sources such as private wells. Average per capita water use as calculated for State conservation planning purposes varied by region of the State. The smallest regional average water use for the years 1990–2012 was 98 gallons per person per day in easternmost Kansas, and the largest regional average water use was 274 gallons per person per day in westernmost Kansas.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143116","collaboration":"Kansas Department of Agriculture, Division of Water Resources","usgsCitation":"Kenny, J.F., 2014, Public-supply water use in Kansas, 1990-2012: U.S. Geological Survey Fact Sheet 2014-3116, 4 p., https://doi.org/10.3133/fs20143116.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1990-01-01","ipdsId":"IP-059749","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":296295,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143116.jpg"},{"id":296293,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3116/"},{"id":296294,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3116/pdf/fs2014-3116.pdf","text":"Report"}],"country":"United States","state":"Kansas","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54759a1ce4b042f27ef134d8","contributors":{"authors":[{"text":"Kenny, Joan F. jkenny@usgs.gov","contributorId":3676,"corporation":false,"usgs":true,"family":"Kenny","given":"Joan","email":"jkenny@usgs.gov","middleInitial":"F.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":525133,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70129190,"text":"ofr20141181 - 2014 - Water-quality data from lakes in the Yukon Flats, Alaska, 2010-2011","interactions":[],"lastModifiedDate":"2014-11-25T09:30:46","indexId":"ofr20141181","displayToPublicDate":"2014-11-25T10:15:00","publicationYear":"2014","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":"2014-1181","title":"Water-quality data from lakes in the Yukon Flats, Alaska, 2010-2011","docAbstract":"

Over a two-year period (2010–2011), in-place measurements were made and water-quality samples were collected from 122 lakes in the Yukon Flats, Alaska, during a U.S. Geological Survey lake biological diversity inventory. The U.S. Geological Survey National Research Program performed the chemical analyses on the retrieved water-quality samples. Results from the analyses of water samples for dissolved carbon gases and carbon isotopes, hydrogen and oxygen stable isotopes, dissolved organic carbon, and major cations and anions, along with supporting site data, are presented in this report.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141181","usgsCitation":"Halm, D.R., and Griffith, B., 2014, Water-quality data from lakes in the Yukon Flats, Alaska, 2010-2011: U.S. Geological Survey Open-File Report 2014-1181, Report: v, 6 p.; Tables, https://doi.org/10.3133/ofr20141181.","productDescription":"Report: v, 6 p.; Tables","numberOfPages":"12","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-057393","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":296282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141181.jpg"},{"id":296275,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1181/"},{"id":296280,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1181/pdf/ofr14-1181.pdf","size":"1.81 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296281,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1181/pdf/OFR14-1181_tables.xlsx","text":"Tables 1-7","size":"105 kB","linkFileType":{"id":3,"text":"xlsx"}}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon Flats","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -151.3916015625,\n 65.83877570688918\n ],\n [\n -151.3916015625,\n 67.62595438857817\n ],\n [\n -144.2724609375,\n 67.62595438857817\n ],\n [\n -144.2724609375,\n 65.83877570688918\n ],\n [\n -151.3916015625,\n 65.83877570688918\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54759a1ee4b042f27ef134fb","contributors":{"authors":[{"text":"Halm, Douglas R. drhalm@usgs.gov","contributorId":1635,"corporation":false,"usgs":true,"family":"Halm","given":"Douglas","email":"drhalm@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":525778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffith, Brad 0000-0001-8698-6859","orcid":"https://orcid.org/0000-0001-8698-6859","contributorId":82571,"corporation":false,"usgs":true,"family":"Griffith","given":"Brad","email":"","affiliations":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":true,"id":525798,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70133876,"text":"ofr20141234 - 2014 - Bathymetry, acoustic backscatter, and seafloor character of Farallon Escarpment and Rittenburg Bank, northern California","interactions":[],"lastModifiedDate":"2014-11-24T14:41:23","indexId":"ofr20141234","displayToPublicDate":"2014-11-24T14:30:00","publicationYear":"2014","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":"2014-1234","title":"Bathymetry, acoustic backscatter, and seafloor character of Farallon Escarpment and Rittenburg Bank, northern California","docAbstract":"

In 2011, scientists from the U.S. Geological Survey’s Coastal and Marine Geology Program acquired bathymetry and acoustic-backscatter data along the upper slope of the Farallon Escarpment and Rittenburg Bank within the Gulf of the Farallones National Marine Sanctuary offshore of the San Francisco Bay area. The surveys were funded by the National Oceanic and Atmospheric Administration’s Deep Sea Coral Research and Technology Program to identify potential deep sea coral habitat prior to planned sampling efforts. Bathymetry and acoustic-backscatter data can be used to map seafloor geology (rock, sand, mud), and slope of the sea floor, both of which are useful for the prediction of deep sea coral habitat. The data also can be used for the prediction of sediment and contaminant budgets and transport, and for the assessment of earthquake and tsunami hazards. The surveys were conducted aboard National Oceanic and Atmospheric Administration’s National Marine Sanctuary Program’s 67-foot-long research vessel Fulmar outfitted with a U.S. Geological Survey 100-kHz Reson 7111 multibeam-echosounder system. This report provides the bathymetry and backscatter data acquired during these surveys, interpretive seafloor character maps in several formats, a summary of the mapping mission, maps of bathymetry and backscatter, and Federal Geographic Data Committee metadata.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141234","collaboration":"Prepared in cooperation with the National Oceanic and Atmospheric Administration","usgsCitation":"Dartnell, P., Cochrane, G.R., and Finlayson, D.P., 2014, Bathymetry, acoustic backscatter, and seafloor character of Farallon Escarpment and Rittenburg Bank, northern California: U.S. Geological Survey Open-File Report 2014-1234, Report: iv, 18 p.; Data catalog; Maps, https://doi.org/10.3133/ofr20141234.","productDescription":"Report: iv, 18 p.; Data catalog; Maps","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-057295","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":296273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141234.jpg"},{"id":296270,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1234/pdf/ofr2014-1234.pdf","size":"5.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":296268,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1234/"},{"id":296271,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1234/datacatalog.html","text":"Data catalog","linkFileType":{"id":5,"text":"html"},"description":"Data catalog"},{"id":296272,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1234/maps.html","text":"Maps","linkFileType":{"id":5,"text":"html"},"description":"Maps"}],"country":"United States","state":"California","otherGeospatial":"Farallon Escarpment, Gulf of the Farallones National Marine Sanctuary, Rittenburg Bank","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.57421875,\n 37.54893261064109\n ],\n [\n -123.57421875,\n 37.924701076802094\n ],\n [\n -123.02490234375,\n 37.924701076802094\n ],\n [\n -123.02490234375,\n 37.54893261064109\n ],\n [\n -123.57421875,\n 37.54893261064109\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547448cae4b06d30cba2ba7e","contributors":{"authors":[{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":525739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":525740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finlayson, David P. dfinlayson@usgs.gov","contributorId":1381,"corporation":false,"usgs":true,"family":"Finlayson","given":"David","email":"dfinlayson@usgs.gov","middleInitial":"P.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":525741,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70129347,"text":"sir20145204 - 2014 - Sources, transport, and trends for selected trace metals and nutrients in the Coeur d'Alene and Spokane River Basins, Idaho, 1990-2013","interactions":[],"lastModifiedDate":"2014-11-24T13:48:06","indexId":"sir20145204","displayToPublicDate":"2014-11-24T13:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5204","title":"Sources, transport, and trends for selected trace metals and nutrients in the Coeur d'Alene and Spokane River Basins, Idaho, 1990-2013","docAbstract":"

Data collected at 18 streamflow-gaging and water-quality sampling sites in the Coeur d’Alene and Spokane River Basins of northern Idaho were used to estimate mean streamflow‑weighted concentrations and annual loads of total and dissolved cadmium, lead, and zinc, and total phosphorus (TP) and nitrogen (TN) for water years (WYs) 2009–13. Chronic Ambient Water Quality Criteria (AWQC) and AWQC ratios also were calculated to evaluate Idaho aquatic life criteria for chronic exposure to cadmium and zinc in streams. At four sites with a longer period of record, a Seasonal Kendall trend test was used to assess historical trends in the concentrations of total cadmium, lead, and zinc, and chronic AWQC ratios for cadmium and zinc during WYs 1990–2013.

\n

 

\n

Concentrations of dissolved and total cadmium, lead, and zinc varied widely both at and among sites. At most sites, dissolved cadmium and zinc constituted most of the total concentrations; dissolved lead generally constituted less than 10 percent of the total lead concentration. Trace metal concentrations increased by 2 to 4 orders of magnitude along the South Fork Coeur d’Alene River (SFCDR) from near Mullan (site 2) downstream to near Pinehurst (site 13). The mean streamflow-weighted concentrations of total cadmium, lead, and zinc in the SFCDR near Pinehurst for WYs 2009–13 were 3.71, 61.4, and 514 micrograms per liter (μg/L), respectively. In the Coeur d’Alene River (CDR) near Harrison (site 15), downstream of the confluence of the metal-enriched SFCDR and the relatively dilute North Fork Coeur d’Alene River (NFCDR), the mean streamflow-weighted concentrations of total cadmium, lead, and zinc were 1.58, 125, and 236 μg/L, respectively. Trace‑metal concentrations were smaller in the Spokane River than in the CDR because of dilution and retention of trace metals in Coeur d’Alene Lake. The mean streamflow-weighted concentrations of total cadmium, lead, and zinc in the Spokane River near Post Falls (site 18) were 0.231, 2.91, and 48.9 μg/L, respectively.

\n

 

\n

AWQC ratios indicate that cadmium and zinc concentrations met the chronic criteria (ratio of less than 1.0) for the protection of aquatic life at only three sites: the NFCDR at Enaville (site 1), the upper SFCDR near Mullan (site 2), and the St. Joe River near St. Maries (site 16). Cadmium and zinc concentrations at sites on the Spokane River (sites 17 and 18) generally were close to the chronic AWQC values. The sites with the largest chronic AWQC ratios in the Coeur d’Alene and Spokane River Basins for both cadmium and zinc were in the Canyon and Ninemile Creek basins (sites 3–6).

\n

 

\n

Concentrations of TP and TN generally were low along the SFCDR downstream to Kellogg. From the SFCDR near Kellogg (site 9) downstream to the SFCDR above Pine Creek (site 11), the mean streamflow-weighted concentration of the nutrients TP and TN increased by 0.036 milligram per liter (mg/L) (200 percent) and 0.124 mg/L (78 percent), respectively. The increases in nutrient concentrations along the SFCDR likely are in response to discharge from wastewater‑treatment facilities. Mean streamflow-weighted concentrations for TP and TN (0.054 and 0.284 mg/L, respectively) were the highest in the sampling network in the SFCDR above Pine Creek (site 11).

\n

 

\n

LOADEST modeling was used to relate mass transport, or load, of trace metals and nutrients to variations in streamflow and time. Results indicate that most of the cadmium and zinc load in the Coeur d’Alene and Spokane Rivers is derived from the SFCDR, and that most of the lead load is derived from the Coeur d’Alene River downstream of the confluence of the NFCDR and SFCDR. Major tributary sources of trace metals to the SFCDR are Canyon Creek and Ninemile Creek. Combined, these two tributaries contributed estimated mean loads of about 0.575 ton per year (ton/yr) of total cadmium, 5.29 ton/yr of total lead, and 90.9 ton/yr of total zinc to the SFCDR during WYs 2009–13. Groundwater discharge and tributaries near the Central Impoundment Area between SFCDR near Kellogg (site 9) and SFCDR near Smelterville (site 10) were other primary sources of cadmium and zinc. Combined, these sources contributed an estimated 1.39 ton/yr of total cadmium and 143 ton/yr of total zinc to the SFCDR during WYs 2009–13.

\n

 

\n

Erosion and transport of sediment-bound lead contained in the CDR flood plain and on the river bottom between Cataldo (site 14) and Harrison (site 15) were the primary source of lead. During WYs 2009–13, the mean load of trace metals delivered to Coeur d’Alene Lake included about 4.66 ton/yr of total cadmium, 398 ton/yr of total lead, and 698 ton/yr of total zinc. About 99 percent of the trace-metal load to the lake was from the CDR as measured near site 15 at Harrison. During WYs 2009–13, about 1.48 ton/yr of cadmium, 18 ton/yr of lead, and 350 ton/yr of zinc were transported from Coeur d’Alene Lake into the Spokane River as measured at the lake outlet (site 17).

\n

 

\n

During WYs 2009–13, the loads of TP and TN delivered from the Coeur d’Alene and St. Joe Rivers to Coeur d’Alene Lake were about equivalent. On average, the CDR transported about 93.6 tons of TP and 369 tons of TN, and the St. Joe River transported about 92.9 tons of TP and 360 tons of TN to the lake during 2009–13. About 52.9 ton/yr of TP and 628 ton/yr of TN were transported from Coeur d’Alene Lake to the Spokane River during WYs 2009–13.

\n

Results from Seasonal Kendall trend tests indicate statistically significant downward temporal trends during WYs 1990–2013 for total cadmium, lead, zinc, and chronic AWQC ratios of cadmium and zinc in the SFCDR at Elizabeth Park (site 8) and near Pinehurst (site 13), and in the CDR near Harrison (site 15). Statistically significant downward temporal trends for total lead, zinc, and the chronic AWQC ratio of zinc also occurred in the Spokane River near Post Falls (site 18) during WYs 1991–2013. Seasonal Kendall trend tests for WYs 2003–13 indicated statistically significant downward trends for total cadmium, zinc, and chronic AWQC ratios of cadmium and zinc in the SFCDR at Elizabeth Park (site 8). The Spokane River near Post Falls (site 18) had a statistically significant downward trend for total zinc during WYs 2003–13, and a significant upward trend for the chronic AWQC ratio of cadmium. No significant trends were found in trace-metal concentrations or chronic AWQC ratios in the SFCDR near Pinehurst (site 13) and the CDR near Harrison (site 15) during WYs 2003–13.

\n

 

\n

Results from this study indicate that remedial activities conducted since the 1990s have been successful in reducing the concentrations and loads of trace metals in streams and rivers in the Coeur d’Alene and Spokane River Basins. Soils, sediment, surface water, and groundwater in areas of the Coeur d’Alene and Spokane River Basins are contaminated, and the hydrological relations between these media are complex and difficult to characterize. Trace metals have variable source areas, are transported differently depending on hydrologic conditions, and behave differently in response to remedial activities in upstream basins. Based on these findings, no single remedial action would be completely effective in reducing all trace metals to nontoxic concentrations throughout the Coeur d’Alene and Spokane River Basins. Instead, unique cleanup activities targeted at specific media and specific source areas may be necessary to achieve long-term water-quality goals.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145204","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Clark, G.M., and Mebane, C.A., 2014, Sources, transport, and trends for selected trace metals and nutrients in the Coeur d'Alene and Spokane River Basins, Idaho, 1990-2013: U.S. Geological Survey Scientific Investigations Report 2014-5204, vii, 61 p., https://doi.org/10.3133/sir20145204.","productDescription":"vii, 61 p.","numberOfPages":"74","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1989-10-01","temporalEnd":"2013-09-30","ipdsId":"IP-050784","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":296269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145204.jpg"},{"id":296267,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5204/pdf/sir2014-5204.pdf","size":"3.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":296256,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5204/"}],"projection":"USA Contiguous Albers Equal Area Conic USGS version","datum":"North American Datum of 1983","country":"United States","state":"Idaho","otherGeospatial":"Coeur d'Alene River Basin, Spokane River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.1142578125,\n 47.20837421346631\n ],\n [\n -117.1142578125,\n 47.82790816919327\n ],\n [\n -115.31249999999999,\n 47.82790816919327\n ],\n [\n -115.31249999999999,\n 47.20837421346631\n ],\n [\n -117.1142578125,\n 47.20837421346631\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547ae02be4b0da0a54dbb623","contributors":{"authors":[{"text":"Clark, Gregory M. gmclark@usgs.gov","contributorId":1377,"corporation":false,"usgs":true,"family":"Clark","given":"Gregory","email":"gmclark@usgs.gov","middleInitial":"M.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525699,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70133257,"text":"sim3317 - 2014 - Lidar-revised geologic map of the Poverty Bay 7.5' quadrangle, King and Pierce Counties, Washington","interactions":[],"lastModifiedDate":"2022-04-18T19:37:56.907916","indexId":"sim3317","displayToPublicDate":"2014-11-24T13:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3317","title":"Lidar-revised geologic map of the Poverty Bay 7.5' quadrangle, King and Pierce Counties, Washington","docAbstract":"

For this map, we interpreted a 6-ft-resolution lidar digital elevation model combined with the geology depicted on the Geologic Map of the Poverty Bay 7.5' Quadrangle, King and Pierce Counties, Washington (Booth and others, 2004b). The authors of the 2004 map described, interpreted, and located the geology on the 1:24,000-scale topographic map of the Poverty Bay 7.5' quadrangle.

\n

 

\n

The topographic map, published in 1997 but compiled in 1957, includes planimetry derived from 1990 imagery and 20-ft contours, nominal horizontal resolution of 40 ft (12 m), and nominal vertical accuracy of 10 ft (3 m). Similar to many surficial geologic maps, much of the geology in Booth and others (2004b) was interpreted from landforms portrayed on the topographic map.

\n

 

\n

In 2003, the Puget Sound Lidar Consortium obtained a lidar-derived digital elevation model (DEM) for the Puget Sound region including all of the Poverty Bay 7.5' quadrangle. For a brief description of lidar (LIght Detection And Ranging) and this data acquisition program, see Haugerud and others (2003). This new DEM has a horizontal resolution and accuracy of 6 ft (2 m) and vertical accuracy of approximately 1 ft (0.3 m). The greater resolution and accuracy of the lidar DEM have facilitated a new interpretation of the geology, especially the distribution and relative age of some surficial deposits.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3317","usgsCitation":"Tabor, R., Booth, D.B., and Troost, K.G., 2014, Lidar-revised geologic map of the Poverty Bay 7.5' quadrangle, King and Pierce Counties, Washington: U.S. Geological Survey Scientific Investigations Map 3317, Pamphlet: ii, 21 p.; 1 Plate: 29.91 x 30.69 inches; Database; Metadata; Readme, https://doi.org/10.3133/sim3317.","productDescription":"Pamphlet: ii, 21 p.; 1 Plate: 29.91 x 30.69 inches; Database; Metadata; Readme","numberOfPages":"23","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-052480","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":296266,"rank":6,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3317.gif"},{"id":398981,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_103353.htm"},{"id":296260,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3317/"},{"id":309685,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3317/downloads/sim3317_map.pdf","text":"Map","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3317 Map","linkHelpText":"The map PDF shows two views: the opening view shows the complete map; the second view shows the map without the unit colors to emphasize the lidar base."},{"id":296265,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3317/downloads/metadata/pvbgeolgenmd.txt","linkFileType":{"id":2,"text":"txt"},"description":"Metadata"},{"id":296264,"rank":4,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3317/sim3317_README.txt","linkFileType":{"id":2,"text":"txt"},"description":"Readme"},{"id":296263,"rank":3,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3317/downloads/sim3317_database.zip","text":"Geospatial Database","linkFileType":{"id":4,"text":"shapefile"},"description":"Geospatial Database"},{"id":296262,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3317/downloads/sim3317_Pamphlet.pdf","text":"Pamphlet","size":"263 kB","linkFileType":{"id":1,"text":"pdf"},"description":"Pamphlet"}],"scale":"24000","country":"United States","state":"Washington","county":"King County, Pierce County","otherGeospatial":"Poverty Bay 7.5' quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.375,\n 47.25\n ],\n [\n -122.375,\n 47.375\n ],\n [\n -122.25,\n 47.375\n ],\n [\n -122.25,\n 47.25\n ],\n [\n -122.375,\n 47.25\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547448e6e4b06d30cba2ba82","contributors":{"authors":[{"text":"Tabor, Rowland W. rtabor@usgs.gov","contributorId":127390,"corporation":false,"usgs":true,"family":"Tabor","given":"Rowland W.","email":"rtabor@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":525736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Booth, Derek B.","contributorId":100873,"corporation":false,"usgs":false,"family":"Booth","given":"Derek","email":"","middleInitial":"B.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":525737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Troost, Kathy Goetz","contributorId":127391,"corporation":false,"usgs":false,"family":"Troost","given":"Kathy","email":"","middleInitial":"Goetz","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":525738,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70129827,"text":"ofr20141227 - 2014 - Core data from offshore Puerto Rico and the U.S. Virgin Islands","interactions":[],"lastModifiedDate":"2017-11-18T12:10:45","indexId":"ofr20141227","displayToPublicDate":"2014-11-21T16:45:00","publicationYear":"2014","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":"2014-1227","title":"Core data from offshore Puerto Rico and the U.S. Virgin Islands","docAbstract":"

In 2008, as a collaborative effort between Woods Hole Oceanographic Institution and the U.S. Geological Survey, 20 giant gravity cores were collected from areas surrounding Puerto Rico and the U.S. Virgin Islands. The regions sampled have had many large earthquake and landslide events, some of which are believed to have triggered tsunamis. The objective of this coring cruise, carried out aboard the National Oceanic and Atmospheric Administration research vessel Seward Johnson, was to determine the age of several substantial slope failures and seismite layers near Puerto Rico in an effort to map their temporal distribution. Data gathered from the cores collected in 2008 and 11 archive cores from the Lamont-Doherty Earth Observatory are included in this report. These data include lithologic logs, core summary sheets, x-ray fluorescence, wet-bulk density, magnetic susceptibility, grain-size analyses, radiographs, and radiocarbon age dates.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141227","usgsCitation":"Hoy, S.K., Chaytor, J., and ten Brink, U., 2014, Core data from offshore Puerto Rico and the U.S. Virgin Islands: U.S. Geological Survey Open-File Report 2014-1227, HTML Document, https://doi.org/10.3133/ofr20141227.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-056650","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":296252,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141227.JPG"},{"id":296250,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1227/"},{"id":296251,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1227/ofr2014-1227-title_page.html","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Report"}],"projection":"Universal Transverse Mercator projection","datum":"World Geodetic System of 1984","country":"United States","otherGeospatial":"Puerto Rico, Virgin Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70,\n 16\n ],\n [\n -70,\n 21\n ],\n [\n -63,\n 21\n ],\n [\n -63,\n 16\n ],\n [\n -70,\n 16\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5470541de4b0b935bc76ce08","contributors":{"authors":[{"text":"Hoy, Shannon K. shoy@usgs.gov","contributorId":5940,"corporation":false,"usgs":true,"family":"Hoy","given":"Shannon","email":"shoy@usgs.gov","middleInitial":"K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":519930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chaytor, Jason D. jchaytor@usgs.gov","contributorId":4961,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason D.","email":"jchaytor@usgs.gov","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":519929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":519928,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70134034,"text":"ds897 - 2014 - Archive of digital chirp subbottom profile data collected during USGS cruises 13BIM02 and 13BIM07 offshore of the Chandeleur Islands, Louisiana, 2013","interactions":[],"lastModifiedDate":"2014-11-21T12:00:20","indexId":"ds897","displayToPublicDate":"2014-11-21T12:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"897","title":"Archive of digital chirp subbottom profile data collected during USGS cruises 13BIM02 and 13BIM07 offshore of the Chandeleur Islands, Louisiana, 2013","docAbstract":"

On July 5–19 (cruise 13BIM02) and August 22–September 1 (cruise 13BIM07), 2013, the U.S. Geological Survey (USGS) conducted geophysical surveys to investigate the geologic controls on barrier island evolution and medium-term and interannual sediment transport along the oil spill mitigation sand berm constructed at the north end and offshore of the Chandeleur Islands, Louisiana. This investigation is part of a broader USGS study, which seeks to understand barrier island evolution better over medium time scales (months to years). This report serves as an archive of unprocessed digital chirp subbottom data, trackline maps, navigation files, Geographic Information System (GIS) files, Field Activity Collection System (FACS) logs, and formal Federal Geographic Data Committee (FGDC) metadata. Gained–showing a relative increase in signal amplitude–digital images of the seismic profiles are provided. Refer to the Abbreviations page for explanations of acronyms and abbreviations used in this report.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds897","usgsCitation":"Forde, A.S., Miselis, J.L., Flocks, J.G., Bernier, J., and Wiese, D.S., 2014, Archive of digital chirp subbottom profile data collected during USGS cruises 13BIM02 and 13BIM07 offshore of the Chandeleur Islands, Louisiana, 2013: U.S. Geological Survey Data Series 897, HTML Document, https://doi.org/10.3133/ds897.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2013-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-056680","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":296249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds897.JPG"},{"id":296246,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0897/"},{"id":296248,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0897/html/ds897_home.html","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Louisiana","otherGeospatial":"Chandeleur Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.93363952636719,\n 29.906734168105377\n ],\n [\n -88.93363952636719,\n 30.124342662364686\n ],\n [\n -88.76747131347656,\n 30.124342662364686\n ],\n [\n -88.76747131347656,\n 29.906734168105377\n ],\n [\n -88.93363952636719,\n 29.906734168105377\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54705419e4b0b935bc76cdf5","contributors":{"authors":[{"text":"Forde, Arnell S. 0000-0002-5581-2255 aforde@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":376,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","email":"aforde@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":525656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":525657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":525658,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bernier, Julie 0000-0002-9918-5353 jbernier@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-5353","contributorId":3549,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","email":"jbernier@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":525659,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":525660,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70133960,"text":"70133960 - 2014 - Investigation of the high-frequency attenuation parameter, κ (kappa), from aftershocks of the 2010 Mw 8.8 Maule, Chile earthquake","interactions":[],"lastModifiedDate":"2014-11-21T13:06:07","indexId":"70133960","displayToPublicDate":"2014-11-20T15:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Investigation of the high-frequency attenuation parameter, κ (kappa), from aftershocks of the 2010 Mw 8.8 Maule, Chile earthquake","docAbstract":"

The Bío Bío region of Chile experienced a vigorous aftershock sequence following the 2010 February 27 Mw 8.8 Maule earthquake. The immediate aftershock sequence was captured by two temporary seismic deployments: the Quake Catcher Network Rapid Aftershock Mobilization Program (QCN RAMP) and the Incorporated Research Institutions for Seismology CHile Aftershock Mobilization Program (IRIS CHAMP). Here, we use moderate to large aftershocks (ML ≥ 4.0) occurring between 2010 March 1 and June 30 recorded by QCN RAMP and IRIS CHAMP stations to determine the spectral decay parameter, kappa (κ). First, we compare waveforms and κ estimates from the lower-resolution QCN stations to the IRIS CHAMP stations to ensure the QCN data are of sufficient quality. We find that QCN stations provide reasonable estimates of κ in comparison to traditional seismic sensors and provide valuable additional observations of local ground motion variation. Using data from both deployments, we investigate the variation in κ for the region to determine if κ is influenced primarily by local geological structure, path attenuation, or source properties (e.g. magnitude, mechanism and depth). Estimates of κ for the Bío Bío region range from 0.0022 to 0.0704 s with a mean of 0.0295 s and are in good agreement with κ values previously reported for similar tectonic environments. κ correlates with epicentral distance and, to a lesser degree, with source magnitude. We find little to no correlation between the site kappa, κ0, and mapped geology, although we were only able to compare the data to a low-resolution map of surficial geology. These results support an increasing number of studies that suggest κobservations can be attributed to a combination of source, path and site properties; additionally, measured κ are often highly scattered making it difficult to separate the contribution from each of these factors. Thus, our results suggest that contributions from the site, path and source should be carefully considered when interpreting κ values.

","language":"English","publisher":"Oxford University Press","doi":"10.1093/gji/ggu390","usgsCitation":"Neighbors, C., Liao, E.J., Cochran, E.S., Funning, G., Chung, A.I., Lawrence, J.F., Christensen, C.M., Miller, M., Belmonte, A., and Sepulveda, H.H., 2014, Investigation of the high-frequency attenuation parameter, κ (kappa), from aftershocks of the 2010 Mw 8.8 Maule, Chile earthquake: Geophysical Journal International, v. 200, no. 1, p. 200-215, https://doi.org/10.1093/gji/ggu390.","productDescription":"16 p.","startPage":"200","endPage":"215","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-048902","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":472631,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggu390","text":"Publisher Index Page"},{"id":296240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","state":"Bío Bío Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.970947265625,\n -38.50948995925552\n ],\n [\n -73.970947265625,\n -36.01356058518153\n ],\n [\n -70.9881591796875,\n -36.01356058518153\n ],\n [\n -70.9881591796875,\n -38.50948995925552\n ],\n [\n -73.970947265625,\n -38.50948995925552\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"200","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-11-10","publicationStatus":"PW","scienceBaseUri":"546f10f3e4b057be23d4a78c","contributors":{"authors":[{"text":"Neighbors, Corrie","contributorId":127529,"corporation":false,"usgs":false,"family":"Neighbors","given":"Corrie","affiliations":[{"id":7004,"text":"Department of Earth Sciences, University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":525579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liao, E. J.","contributorId":127530,"corporation":false,"usgs":false,"family":"Liao","given":"E.","email":"","middleInitial":"J.","affiliations":[{"id":7004,"text":"Department of Earth Sciences, University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":525580,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":525578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Funning, G. J.","contributorId":127531,"corporation":false,"usgs":false,"family":"Funning","given":"G. J.","affiliations":[{"id":7004,"text":"Department of Earth Sciences, University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":525581,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chung, A. I.","contributorId":39293,"corporation":false,"usgs":false,"family":"Chung","given":"A.","email":"","middleInitial":"I.","affiliations":[{"id":7033,"text":"School of Earth Sciences, Stanford University","active":true,"usgs":false}],"preferred":false,"id":525582,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lawrence, J. F.","contributorId":14224,"corporation":false,"usgs":false,"family":"Lawrence","given":"J.","email":"","middleInitial":"F.","affiliations":[{"id":7033,"text":"School of Earth Sciences, Stanford University","active":true,"usgs":false}],"preferred":false,"id":525583,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Christensen, C. M.","contributorId":71094,"corporation":false,"usgs":false,"family":"Christensen","given":"C.","email":"","middleInitial":"M.","affiliations":[{"id":7033,"text":"School of Earth Sciences, Stanford University","active":true,"usgs":false}],"preferred":false,"id":525584,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miller, M.","contributorId":13178,"corporation":false,"usgs":false,"family":"Miller","given":"M.","email":"","affiliations":[],"preferred":false,"id":525585,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Belmonte, A.","contributorId":127532,"corporation":false,"usgs":false,"family":"Belmonte","given":"A.","affiliations":[{"id":7015,"text":"Departamento de Geofísica, Universidad de Concepción, Concepción, Chile","active":true,"usgs":false}],"preferred":false,"id":525586,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sepulveda, H. H. Andres","contributorId":127533,"corporation":false,"usgs":false,"family":"Sepulveda","given":"H.","email":"","middleInitial":"H. Andres","affiliations":[{"id":7015,"text":"Departamento de Geofísica, Universidad de Concepción, Concepción, Chile","active":true,"usgs":false}],"preferred":false,"id":525587,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70133292,"text":"ds899 - 2014 - U-Pb zircon age data for selected sedimentary, metasedimentary, and igneous rocks from northern and central Alaska","interactions":[],"lastModifiedDate":"2014-11-20T14:11:46","indexId":"ds899","displayToPublicDate":"2014-11-20T15:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"899","title":"U-Pb zircon age data for selected sedimentary, metasedimentary, and igneous rocks from northern and central Alaska","docAbstract":"

This publication contains the complete results of U-Pb zircon age dating studies of sedimentary and metasedimentary units from northern and central Alaska that are discussed and interpreted in other reports by the author. Most of the U-Pb ages are of detrital zircons from sandstones, although U-Pb ages from igneous and sedimentary clasts from conglomerates in some of those same units are also included. In addition to the data presented in the interpretive reports, this publication includes data that were excluded due to discordance, analytical problems, and publication space limitations. The U-Pb age data are reported in Excel-file format so that they can be easily downloaded and referenced or reinterpreted by future workers.

\n

 

\n

Data from two studies are included in this report. The first study, by Dumoulin and others (2013), reported the detrital zircon U-Pb age analysis of a single sample from the Upper Mississippian Ikalukrok unit of the Kuna Formation (table 1). The second study is that of Moore and others (in press), which focuses on the Upper Jurassic and Lower Cretaceous part of the Brookian sequence in the western Brooks Range (17 samples; table 2). For the latter study, samples were analyzed from the following units (1) the Upper Jurassic unit, Jw, of Curtis and others (1984), (2) the Lower Cretaceous Igrarok Hills unit of Moore and others (2002), (3) the Upper Jurassic and Lower Cretaceous Okpikruak Formation, (4) the Lower Cretaceous lower Brookian shale of Mull (1995), (5) the Lower Cretaceous Mount Kelly Graywacke Tongue of the Fortress Mountain Formation, (6) and the upper Lower Cretaceous Nanushuk Formation as redefined by Mull and others (2003). The results for each study are reported in separate Excel files, with individual samples in each study being shown as separate sheets within the files. The analyses of individual zircons are listed separately on the sheet according to the filtering schemes of the study and by the type of mass spectrometer used.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds899","usgsCitation":"Moore, T.E., 2014, U-Pb zircon age data for selected sedimentary, metasedimentary, and igneous rocks from northern and central Alaska: U.S. Geological Survey Data Series 899, Report: iii, 4 p.; 2 Tables, https://doi.org/10.3133/ds899.","productDescription":"Report: iii, 4 p.; 2 Tables","numberOfPages":"12","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059361","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":296235,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds899.gif"},{"id":296231,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0899/"},{"id":296232,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0899/downloads/ds899.pdf","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296233,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0899/downloads/ds899_table1.xlsx","text":"Table 1","size":"78 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":296234,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0899/downloads/ds899_table2.xlsx","text":"Table 2","size":"587 kB","linkFileType":{"id":3,"text":"xlsx"}}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -188.08593749999997,\n 50.792047064406844\n ],\n [\n -188.08593749999997,\n 71.88357830131248\n ],\n [\n -140.625,\n 71.88357830131248\n ],\n [\n -140.625,\n 50.792047064406844\n ],\n [\n -188.08593749999997,\n 50.792047064406844\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546f1100e4b057be23d4a7bd","contributors":{"authors":[{"text":"Moore, Thomas E. 0000-0002-0878-0457 tmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":1033,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas","email":"tmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":525001,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70133695,"text":"70133695 - 2014 - A new analysis of Mars \"Special Regions\": findings of the Second MEPAG Special Regions Science Analysis Group (SR-SAG2)","interactions":[],"lastModifiedDate":"2014-11-21T11:13:28","indexId":"70133695","displayToPublicDate":"2014-11-20T11:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":912,"text":"Astrobiology","active":true,"publicationSubtype":{"id":10}},"title":"A new analysis of Mars \"Special Regions\": findings of the Second MEPAG Special Regions Science Analysis Group (SR-SAG2)","docAbstract":"

A committee of the Mars Exploration Program Analysis Group (MEPAG) has reviewed and updated the description of Special Regions on Mars as places where terrestrial organisms might replicate (per the COSPAR Planetary Protection Policy). This review and update was conducted by an international team (SR-SAG2) drawn from both the biological science and Mars exploration communities, focused on understanding when and where Special Regions could occur. The study applied recently available data about martian environments and about terrestrial organisms, building on a previous analysis of Mars Special Regions (2006) undertaken by a similar team. Since then, a new body of highly relevant information has been generated from the Mars Reconnaissance Orbiter (launched in 2005) and Phoenix (2007) and data from Mars Express and the twin Mars Exploration Rovers (all 2003). Results have also been gleaned from the Mars Science Laboratory (launched in 2011). In addition to Mars data, there is a considerable body of new data regarding the known environmental limits to life on Earth—including the potential for terrestrial microbial life to survive and replicate under martian environmental conditions. The SR-SAG2 analysis has included an examination of new Mars models relevant to natural environmental variation in water activity and temperature; a review and reconsideration of the current parameters used to define Special Regions; and updated maps and descriptions of the martian environments recommended for treatment as \"Uncertain\" or \"Special\" as natural features or those potentially formed by the influence of future landed spacecraft. Significant changes in our knowledge of the capabilities of terrestrial organisms and the existence of possibly habitable martian environments have led to a new appreciation of where Mars Special Regions may be identified and protected. The SR-SAG also considered the impact of Special Regions on potential future human missions to Mars, both as locations of potential resources and as places that should not be inadvertently contaminated by human activity.

","language":"English","publisher":"Mary Ann Liebert, Inc.","doi":"10.1089/ast.2014.1227","usgsCitation":"Rummel, J.D., Beaty, D.W., Jones, M., Bakermans, C., Barlow, N.G., Boston, P.J., Chevrier, V.F., Clark, B., de Vera, J.P., Gough, R.V., Hallsworth, J.E., Head, J.W., Hipkin, V.J., Kieft, T.L., McEwen, A.S., Mellon, M.T., Mikucki, J.A., Nicholson, W.L., Omelon, C.R., Peterson, R., Roden, E.E., Lollar, B.S., Tanaka, K.L., Viola, D., and Wray, J.J., 2014, A new analysis of Mars \"Special Regions\": findings of the Second MEPAG Special Regions Science Analysis Group (SR-SAG2): Astrobiology, v. 14, no. 11, p. 887-968, https://doi.org/10.1089/ast.2014.1227.","productDescription":"82 p.","startPage":"887","endPage":"968","numberOfPages":"82","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058804","costCenters":[{"id":131,"text":"Astrogeology Science 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Arizona","active":true,"usgs":false}],"preferred":false,"id":525560,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Wray, James J.","contributorId":81736,"corporation":false,"usgs":false,"family":"Wray","given":"James","email":"","middleInitial":"J.","affiliations":[{"id":7032,"text":"School of Earth and Atmospheric Sciences, Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":525561,"contributorType":{"id":1,"text":"Authors"},"rank":25}]}} ,{"id":70134306,"text":"70134306 - 2014 - Intrinsic variability in shell and soft tissue growth of the freshwater mussel Lampsilis siliquoidea","interactions":[],"lastModifiedDate":"2015-02-17T09:56:40","indexId":"70134306","displayToPublicDate":"2014-11-20T11:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS 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Freshwater mussels are ecologically and economically important members of many aquatic ecosystems, but are globally among the most imperiled taxa. Propagation techniques for mussels have been developed and used to boost declining and restore extirpated populations. Here we use a cohort of propagated mussels to estimate the intrinsic variability in size and growth rate of Lampsilis siliquoidea (a commonly propagated species). Understanding the magnitude and pattern of variation in data is critical to determining whether effects observed in nature or experimental treatments are likely to be important. The coefficient of variation (CV) of L. siliquoidea soft tissues (6.0%) was less than the CV of linear shell dimensions (25.1-66.9%). Size-weight relationships were best when mussel width (the maximum left-right dimension with both valves appressed) was used as a predictor, but 95% credible intervals on these predictions for soft tissues were ~145 mg wide (about 50% of the mean soft tissue mass). Mussels in this study were treated identically, raised from a single cohort and yet variation in soft tissue mass at a particular size class (as determined by shell dimensions) was still high. High variability in mussel size is often acknowledged, but seldom discussed in the context of mussel conservation. High variability will influence the survival of stocked juvenile cohorts, may affect the ability to experimentally detect sublethal stressors and may lead to incongruities between the effects that mussels have on structure (via hard shells) and biogeochemical cycles (via soft tissue metabolism). Given their imperiled status and longevity, there is often reluctance to destructively sample unionid mussel soft tissues even in metabolic studies (e.g., studies of nutrient cycling). High intrinsic variability suggests that using shell dimensions (particularly shell length) as a response variable in studies of sublethal stressors or metabolic processes will make confident identifications of smaller effect sizes difficult.

","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0112252","usgsCitation":"Larson, J.H., Eckert, N., and Bartsch, M., 2014, Intrinsic variability in shell and soft tissue growth of the freshwater mussel Lampsilis siliquoidea: PLoS ONE, v. 9, no. 11, e112252; 7 p., https://doi.org/10.1371/journal.pone.0112252.","productDescription":"e112252; 7 p.","numberOfPages":"7","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-058170","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":472632,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0112252","text":"Publisher Index Page"},{"id":296369,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"11","noUsgsAuthors":false,"publicationDate":"2014-11-20","publicationStatus":"PW","scienceBaseUri":"547ee2c7e4b09357f05f8a57","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":525795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eckert, Nathan L.","contributorId":127593,"corporation":false,"usgs":false,"family":"Eckert","given":"Nathan L.","affiliations":[{"id":7071,"text":"U.S. Fish and Wildlife Service, Genoa National Fish Hatchery","active":true,"usgs":false}],"preferred":false,"id":525796,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartsch, Michelle 0000-0002-9571-5564 mbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-9571-5564","contributorId":3165,"corporation":false,"usgs":true,"family":"Bartsch","given":"Michelle","email":"mbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":525797,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70125641,"text":"70125641 - 2014 - Persistence of DNA in carcasses, slime and avian feces may affect interpretation of environmental DNA data","interactions":[],"lastModifiedDate":"2014-11-20T10:09:13","indexId":"70125641","displayToPublicDate":"2014-11-20T10:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Persistence of DNA in carcasses, slime and avian feces may affect interpretation of environmental DNA data","docAbstract":"

The prevention of non-indigenous aquatic invasive species spreading into new areas is a goal of many resource managers. New techniques have been developed to survey for species that are difficult to capture with conventional gears that involve the detection of their DNA in water samples (eDNA). This technique is currently used to track the invasion of bigheaded carps (silver carp and bighead carp; Hypophthalmichthys molitrix and H. nobilis) in the Chicago Area Waterway System and Upper Mississippi River. In both systems DNA has been detected from silver carp without the capture of a live fish, which has led to some uncertainty about the source of the DNA. The potential contribution to eDNA by vectors and fomites has not been explored. Because barges move from areas with a high abundance of bigheaded carps to areas monitored for the potential presence of silver carp, we used juvenile silver carp to simulate the barge transport of dead bigheaded carp carcasses, slime residue, and predator feces to determine the potential of these sources to supply DNA to uninhabited waters where it could be detected and misinterpreted as indicative of the presence of live bigheaded carp. Our results indicate that all three vectors are feasible sources of detectable eDNA for at least one month after their deposition. This suggests that current monitoring programs must consider alternative vectors of DNA in the environment and consider alternative strategies to minimize the detection of DNA not directly released from live bigheaded carps.

","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0113346","usgsCitation":"Merkes, C., McCalla, S., Jensen, N.R., Gaikowski, M.P., and Amberg, J., 2014, Persistence of DNA in carcasses, slime and avian feces may affect interpretation of environmental DNA data: PLoS ONE, v. 9, no. 11, e113346; 7 p., https://doi.org/10.1371/journal.pone.0113346.","productDescription":"e113346; 7 p.","numberOfPages":"7","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-058016","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":472633,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0113346","text":"Publisher Index Page"},{"id":296222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"11","noUsgsAuthors":false,"publicationDate":"2014-11-17","publicationStatus":"PW","scienceBaseUri":"546f10f5e4b057be23d4a799","contributors":{"authors":[{"text":"Merkes, Christopher M. cmerkes@usgs.gov","contributorId":5620,"corporation":false,"usgs":true,"family":"Merkes","given":"Christopher M.","email":"cmerkes@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":519522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCalla, S. Grace smccalla@usgs.gov","contributorId":4897,"corporation":false,"usgs":true,"family":"McCalla","given":"S. Grace","email":"smccalla@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":519521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jensen, Nathan R. njensen@usgs.gov","contributorId":3911,"corporation":false,"usgs":true,"family":"Jensen","given":"Nathan","email":"njensen@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":519520,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gaikowski, Mark P. 0000-0002-6507-9341 mgaikowski@usgs.gov","orcid":"https://orcid.org/0000-0002-6507-9341","contributorId":796,"corporation":false,"usgs":true,"family":"Gaikowski","given":"Mark","email":"mgaikowski@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":519518,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amberg, Jon J. jamberg@usgs.gov","contributorId":797,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon J.","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":519519,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70129822,"text":"fs20143113 - 2014 - The 3D Elevation Program: summary for Indiana","interactions":[],"lastModifiedDate":"2016-08-17T15:18:35","indexId":"fs20143113","displayToPublicDate":"2014-11-19T15:30:00","publicationYear":"2014","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":"2014-3113","title":"The 3D Elevation Program: summary for Indiana","docAbstract":"

Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Indiana, elevation data are critical for flood risk management, agriculture and precision farming, natural resources conservation, infrastructure and construction management, aviation navigation and safety, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.

\n

The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 interferometric synthetic aperture radar (ifsar) data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the Office of Management and Budget Circular A–16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation's natural and constructed features.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143113","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for Indiana (Version 1.0: November 19, 2014; Version 1.1: June 5, 2015): U.S. Geological Survey Fact Sheet 2014-3113, 2 p., https://doi.org/10.3133/fs20143113.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059223","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":296215,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143113.jpg"},{"id":296213,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3113/"},{"id":296214,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3113/pdf/fs2014-3113.pdf","text":"Report","size":"277 kB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United 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Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":519921,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70133657,"text":"70133657 - 2014 - Uncertainty analysis of a groundwater flow model in east-central Florida","interactions":[],"lastModifiedDate":"2014-12-05T10:39:49","indexId":"70133657","displayToPublicDate":"2014-11-19T11:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Uncertainty analysis of a groundwater flow model in east-central Florida","docAbstract":"

A groundwater flow model for east-central Florida has been developed to help water-resource managers assess the impact of increased groundwater withdrawals from the Floridan aquifer system on heads and spring flows originating from the Upper Floridan aquifer. The model provides a probabilistic description of predictions of interest to water-resource managers, given the uncertainty associated with system heterogeneity, the large number of input parameters, and a nonunique groundwater flow solution. The uncertainty associated with these predictions can then be considered in decisions with which the model has been designed to assist. The “Null Space Monte Carlo” method is a stochastic probabilistic approach used to generate a suite of several hundred parameter field realizations, each maintaining the model in a calibrated state, and each considered to be hydrogeologically plausible. The results presented herein indicate that the model’s capacity to predict changes in heads or spring flows that originate from increased groundwater withdrawals is considerably greater than its capacity to predict the absolute magnitudes of heads or spring flows. Furthermore, the capacity of the model to make predictions that are similar in location and in type to those in the calibration dataset exceeds its capacity to make predictions of different types at different locations. The quantification of these outcomes allows defensible use of the modeling process in support of future water-resources decisions. The model allows the decision-making process to recognize the uncertainties, and the spatial/temporal variability of uncertainties that are associated with predictions of future system behavior in a complex hydrogeological context.

","language":"English","publisher":"National Ground Water Association","doi":"10.1111/gwat.12232","usgsCitation":"Sepulveda, N., and Doherty, J.E., 2014, Uncertainty analysis of a groundwater flow model in east-central Florida: Groundwater, https://doi.org/10.1111/gwat.12232.","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050416","costCenters":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"links":[{"id":296204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","county":"Lake County, Orange County, Osceola County, Polk County, Seminole County","noUsgsAuthors":false,"publicationDate":"2014-07-12","publicationStatus":"PW","scienceBaseUri":"546db11fe4b0fc7976bf1e4b","contributors":{"authors":[{"text":"Sepulveda, Nicasio 0000-0002-6333-1865 nsepul@usgs.gov","orcid":"https://orcid.org/0000-0002-6333-1865","contributorId":1454,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Nicasio","email":"nsepul@usgs.gov","affiliations":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"preferred":true,"id":525433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doherty, John E.","contributorId":8817,"corporation":false,"usgs":false,"family":"Doherty","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":7046,"text":"Watermark Numerical Computing","active":true,"usgs":false}],"preferred":false,"id":525434,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70129826,"text":"sir20145175 - 2014 - Basin-scale simulation of current and potential climate changed hydrologic conditions in the Lake Michigan Basin, United States","interactions":[],"lastModifiedDate":"2016-06-14T10:22:57","indexId":"sir20145175","displayToPublicDate":"2014-11-19T11:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5175","title":"Basin-scale simulation of current and potential climate changed hydrologic conditions in the Lake Michigan Basin, United States","docAbstract":"

The Great Lakes Restoration Initiative (GLRI) is the largest public investment in the Great Lakes in two decades. A task force of 11 Federal agencies developed an action plan to implement the initiative. The U.S. Department of the Interior was one of the 11 agencies that entered into an interagency agreement with the U.S. Environmental Protection Agency as part of the GLRI to complete scientific projects throughout the Great Lakes basin. The U.S. Geological Survey, a bureau within the Department of the Interior, is involved in the GLRI to provide scientific support to management decisions as well as measure progress of the Great Lakes basin restoration efforts. This report presents basin-scale simulated current and forecast climatic and hydrologic conditions in the Lake Michigan Basin. The forecasts were obtained by constructing and calibrating a Precipitation-Runoff Modeling System (PRMS) model of the Lake Michigan Basin; the PRMS model was calibrated using the parameter estimation and uncertainty analysis (PEST) software suite. The calibrated model was used to evaluate potential responses to climate change by using four simulated carbon emission scenarios from eight general circulation models released by the World Climate Research Programme’s Coupled Model Intercomparison Project phase 3. Statistically downscaled datasets of these scenarios were used to project hydrologic response for the Lake Michigan Basin. In general, most of the observation sites in the Lake Michigan Basin indicated slight increases in annual streamflow in response to future climate change scenarios. Monthly streamflows indicated a general shift from the current (2014) winter-storage/snowmelt-pulse system to a system with a more equally distributed hydrograph throughout the year. Simulated soil moisture within the basin illustrates that conditions within the basin are also expected to change on a monthly timescale. One effect of increasing air temperature as a result of the changing climate was the appreciable increase in the length of the growing season in the Lake Michigan Basin. The increase in growing season will cause an increase in evapotranspiration across the Lake Michigan Basin, which will directly affect soil moisture and late growing season streamflows. Output from the Lake Michigan Basin PRMS model is available through an online dynamic web mapping service available at (http://pubs.usgs.gov/sir/2014/5175/). The map service includes layers for the each of the 8 global climate models and 4 carbon emission scenarios combinations for 12 hydrologic model state variables. The layers are pre-rendered maps of annual hydrologic response from 1977 through 2099 that provide an easily accessible online method to examine climate change effects across the Lake Michigan Basin.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20145175","usgsCitation":"Christiansen, D.E., Walker, J.F., and Hunt, R.J., 2014, Basin-scale simulation of current and potential climate changed hydrologic conditions in the Lake Michigan Basin, United States: U.S. Geological Survey Scientific Investigations Report 2014-5175, Report: vi, 74 p.; 5 Appendices, https://doi.org/10.3133/sir20145175.","productDescription":"Report: vi, 74 p.; 5 Appendices","numberOfPages":"86","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-032245","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":296202,"rank":8,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145175.jpg"},{"id":296197,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5175/downloads/appendix_1.pdf","text":"Appendix 1","size":"4.6 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296198,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5175/downloads/appendix_2.pdf","text":"Appendix 2","size":"370 kB","linkFileType":{"id":1,"text":"pdf"}},{"id":296199,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5175/downloads/appendix_3.pdf","text":"Appendix 3","size":"840 kB","linkFileType":{"id":1,"text":"pdf"}},{"id":296196,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5175/pdf/sir2014-5175.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}},{"id":296200,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5175/downloads/appendix_4.pdf","text":"Appendix 4","size":"358 kB","linkFileType":{"id":1,"text":"pdf"}},{"id":297767,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5175/","linkFileType":{"id":5,"text":"html"}},{"id":296201,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5175/downloads/appendix_5.pdf","text":"Appendix 5","size":"357 kB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Indiana, Illinois, Michigan, Wisconsin","otherGeospatial":"Lake Michigan","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546db11ce4b0fc7976bf1e21","contributors":{"authors":[{"text":"Christiansen, Daniel E. 0000-0001-6108-2247 dechrist@usgs.gov","orcid":"https://orcid.org/0000-0001-6108-2247","contributorId":366,"corporation":false,"usgs":true,"family":"Christiansen","given":"Daniel","email":"dechrist@usgs.gov","middleInitial":"E.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, John F. jfwalker@usgs.gov","contributorId":1081,"corporation":false,"usgs":true,"family":"Walker","given":"John","email":"jfwalker@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525459,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70133712,"text":"ofr20141228 - 2014 - Population viability and connectivity of the Louisiana black bear (Ursus americanus luteolus)","interactions":[],"lastModifiedDate":"2014-11-21T13:07:54","indexId":"ofr20141228","displayToPublicDate":"2014-11-19T09:00:00","publicationYear":"2014","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":"2014-1228","title":"Population viability and connectivity of the Louisiana black bear (Ursus americanus luteolus)","docAbstract":"

In 1992, the U.S. Fish and Wildlife Service (USFWS) granted Ursus americanus luteolus (Louisiana black bear) threatened status under the U.S. Endangered Species Act of 1973, listing loss and fragmentation of habitat as the primary threats. A study was developed by the U.S. Geological Survey in cooperation with the University of Tennessee, the Louisiana Department of Wildlife and Fisheries, and the USFWS to estimate demographic rates and genetic structure of Louisiana black bear populations; evaluate relations between environmental and anthropogenic factors and demographic, genetic, and movement characteristics of Louisiana black bear populations; and develop data-driven stochastic population projection models to assess long-term persistence of individual subpopulations and the overall black bear population in Louisiana.

\n

 

\n

Data were collected with non-invasive DNA sampling, live capture, winter den visits, and radio monitoring from 2002 to 2012 in the four areas supporting breeding subpopulations in Louisiana: Tensas River Basin (TRB), Upper Atchafalaya River Basin (UARB), Lower Atchafalaya River Basin (LARB), and Three Rivers Complex (TRC). Bears were live trapped and radio collared in the TRB and TRC to estimate survival and reproductive rates, deterministic matrix models were used to estimate asymptotic growth rates, and stochastic population models were used to estimate long-term viability. DNA extracted from hair collected at baited, barbed-wire enclosures in the TRB, UARB, and LARB and capture-mark-recapture (CMR) analysis based on Bayesian hierarchical modeling methods were used to estimate apparent survival (φ), per capita recruitment (γ), abundance (N), realized growth rate (λ), and long-term viability.

\n

 

\n

From 2002 to 2012, we radio monitored 86 adult females greater than (>) 2 years old within the TRB, and 43 adult females were monitored in the TRC. The mean annual survival rate estimate ranged from 0.97 to 0.99 for the TRB and from 0.93 to 0.97 for the TRC. Fecundity and yearling recruitment in the TRB were 0.47 and 0.15, respectively, whereas estimates for the TRC were 0.37 and 0.18. Depending on estimated carrying capacity, the strength of the density dependence, level of uncertainty, and the treatment of unresolved signals, persistence probabilities for the TRC subpopulation ranged from 0.295 to 0.999.

\n

 

\n

Estimates of N for females in the TRB ranged from 140 to 163 during 2006–12 when detection heterogeneity was assumed to follow a logistic-normal distribution (Model 1) and from 133 to 158 when a 2-point finite mixture distribution was assumed (Model 2). Annual estimates of γ ranged from 0.00 to 0.16 and from 0 to 0.22, depending on the model, and estimates of φ ranged from 0.87 to 0.93 during that period. In the UARB, estimates of N for females ranged from 25 to 44 during the study period, regardless of heterogeneity model. Estimated γ ranged from 0.00 to 0.41, and φ ranged from 0.88 to 0.90 during that period. Estimated N for females in the LARB was from 78 to 97 from 2010 to 2012 based on Model 1 and from 68 to 84 based on Model 2. Estimates of γ were 0.00 for 2010–11 regardless of heterogeneity model and ranged from 0.24 to 0.31 for 2011–12, depending on the model assumptions. We estimated φ as 0.81 for 2010–11, and from 0.84 to 0.85 for 2011–12, depending on model assumptions. We estimated Φ as 0.81 for 2010–11, ranging and from 0.84 to 0.85 for 2011–12, depending on model assumptions.

\n

 

\n

On the basis of vital rate estimates from Model 1 of the CMR analysis, probability of persistence over 100 years for the TRB population was >0.999, 0.975, and 0.958 for process-only, 50-percent (%) credible interval (CI), and 95% CI projections, respectively. Similarly, the probability of persistence based on  Model 2 was >0.999, 0.982, and 0.958. For the UARB, probabilities of persistence based on Model 1 were >0.999, 0.971, and 0.958 for process-only, 50% CI, and 95% CI projections, respectively, and 0.993, 0.929, and 0.849 for Model 2. Using the telemetry and reproductive data from the TRC, probabilities of persistence were greater than or equal to 0.95 only for projections based on the most optimistic set of assumptions. Assuming that the dynamics of the TRB, TRC, and UARB populations were independent and using the most pessimistic population-specific persistence probabilities (that is, 0.958, 0.295, and 0.849, respectively), the overall probability of persistence for bears in that population system was 0.996.

\n

 

\n

Genetic methods were used to estimate interchange and structure between subpopulations in Louisiana and in Minnesota (MINN); Mississippi (MISS); and the White River Basin (WRB), Arkansas. Results from the all-population and the WRB–TRB clustering analyses indicate at least five genetically distinct populations. The genetic clustering and migrant analyses combined with capture data provided direct evidence that interchange has occurred from the WRB to the TRB and MISS, from the TRB to MISS, from the UARB to the TRC, and from the TRC to the TRB. Indirect evidence that interchange occurred from the UARB to the TRC and from the UARB to the TRB by way of the TRC was documented. No evidence was found of interchange from any of the subpopulations to the WRB, UARB, or LARB.

\n

 

\n

From April 2010 to April 2012, global positioning system (GPS) radio collars were placed on 8 female and 23 male bears ranging from 1 to 11 years of age to develop a step-selection function model to predict routes and rates of interchange. For both males and females, the probability of a step being selected increased as the distance to natural land cover and agriculture at the end of the step decreased and as distance from roads at the end of a step increased. Of 4,000 correlated random walks, the least potential interchange was between TRB and TRC and between UARB and LARB, but the relative potential for natural interchange between UARB and TRC was high. The step-selection model predicted that dispersals between the LARB and UARB populations were infrequent but possible for males and nearly nonexistent for females. No evidence of natural female dispersal between subpopulations has been documented thus far, which is also consistent with model predictions.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141228","collaboration":"Prepared in cooperation with the University of Tennessee, Louisiana Department of Wildlife and Fisheries, and the U.S. Fish and Wildlife Service","usgsCitation":"Laufenberg, J.S., and Clark, J.D., 2014, Population viability and connectivity of the Louisiana black bear (Ursus americanus luteolus): U.S. Geological Survey Open-File Report 2014-1228, viii, 104 p., https://doi.org/10.3133/ofr20141228.","productDescription":"viii, 104 p.","numberOfPages":"114","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-060751","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":296182,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1228"},{"id":296184,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1228/pdf/ofr2014-1228.pdf","size":"4.61 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296186,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141228.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.04296874999999,\n 28.8927788645183\n ],\n [\n -94.04296874999999,\n 33.02708758002874\n ],\n [\n -88.9727783203125,\n 33.02708758002874\n ],\n [\n -88.9727783203125,\n 28.8927788645183\n ],\n [\n -94.04296874999999,\n 28.8927788645183\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546db11fe4b0fc7976bf1e3f","contributors":{"authors":[{"text":"Laufenberg, Jared S.","contributorId":28899,"corporation":false,"usgs":false,"family":"Laufenberg","given":"Jared","email":"","middleInitial":"S.","affiliations":[{"id":7006,"text":"Department of Forestry, Wildlife and Fisheries, University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":525420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":525419,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70128729,"text":"ofr20141205 - 2014 - Evaluation of the Raven sUAS to detect and monitor greater sage-grouse leks within the Middle Park population","interactions":[],"lastModifiedDate":"2014-11-19T13:32:27","indexId":"ofr20141205","displayToPublicDate":"2014-11-18T17:15:00","publicationYear":"2014","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":"2014-1205","title":"Evaluation of the Raven sUAS to detect and monitor greater sage-grouse leks within the Middle Park population","docAbstract":"

Staff from the U.S. Geological Survey Fort Collins Science Center and the Colorado Parks and Wildlife Hot Sulphur Springs Office began discussions in 2011 for a proof of concept study to test the Raven RQ-11A small Unmanned Aircraft System (Raven sUAS) for its suitability to detect and monitor greater sage-grouse (Centrocercus urophasianus) breeding sites (leks). During April 2013, the Raven sUAS was flown over two known lek sites within the Middle Park population in Grand County, Colorado. Known sites were flown to determine the reaction of the greater sage-grouse to the aircraft and to determine if the technology had potential for future use of locating new leks and obtaining population counts on known, active lek sites.

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The Raven sUAS is a hand-launched reconnaissance and data-gathering tool developed for the U.S. Department of Defense by AeroVironment, Inc. Originally designed to provide aerial observation, day or night, at line-of-site ranges up to 6.2 miles (10 kilometers), the Raven sUAS has a wingspan of 4.5 feet (1.38 meters) and weighs 4.2 pounds (1.9 kilograms). A 60-minute lithium-ion rechargeable battery powers the system which also transmits live video (color or infrared imagery), compass headings, and location information to a ground control station. The Raven sUAS is typically operated by a three-person flight crew consisting of a pilot, mission operator, and a trained observer.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141205","collaboration":"Prepared in cooperation with Colorado Parks and Wildlife.","usgsCitation":"Hanson, L., Holmquist-Johnson, C.L., and Cowardin, M.L., 2014, Evaluation of the Raven sUAS to detect and monitor greater sage-grouse leks within the Middle Park population: U.S. Geological Survey Open-File Report 2014-1205, iv, 20 p., https://doi.org/10.3133/ofr20141205.","productDescription":"iv, 20 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-055826","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":296190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141205.jpg"},{"id":296189,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1205/pdf/ofr2014-1205.pdf","text":"Report","size":"16.3 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296188,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1205/"}],"country":"United States","state":"Colorado","county":"Grand County","otherGeospatial":"Middle Park","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a75e4b08de9379b3077","contributors":{"authors":[{"text":"Hanson, Leanne hansonl@usgs.gov","contributorId":3231,"corporation":false,"usgs":true,"family":"Hanson","given":"Leanne","email":"hansonl@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":525445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holmquist-Johnson, Christopher L. h-johnsonc@usgs.gov","contributorId":922,"corporation":false,"usgs":true,"family":"Holmquist-Johnson","given":"Christopher","email":"h-johnsonc@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":525446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cowardin, Michelle L.","contributorId":117645,"corporation":false,"usgs":true,"family":"Cowardin","given":"Michelle","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":525447,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}