{"pageNumber":"1451","pageRowStart":"36250","pageSize":"25","recordCount":165296,"records":[{"id":70045773,"text":"ds745 - 2013 - Classifications for Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) site-specific projects: 2010","interactions":[],"lastModifiedDate":"2013-05-05T16:05:08","indexId":"ds745","displayToPublicDate":"2013-05-05T00:00:00","publicationYear":"2013","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":"745","title":"Classifications for Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) site-specific projects: 2010","docAbstract":"The Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) funds over 100 wetland restoration projects across Louisiana. Integral to the success of CWPPRA is its long-term monitoring program, which enables State and Federal agencies to determine the effectiveness of each restoration effort. One component of this monitoring program is the classification of high-resolution, color-infrared aerial photography at the U.S. Geological Survey’s National Wetlands Research Center in Lafayette, Louisiana.\n\nColor-infrared aerial photography (9- by 9-inch) is obtained before project construction and several times after construction. Each frame is scanned on a photogrametric scanner that produces a high-resolution image in Tagged Image File Format (TIFF). By using image-processing software, these TIFF files are then orthorectified and mosaicked to produce a seamless image of a project area and its associated reference area (a control site near the project that has common environmental features, such as marsh type, soil types, and water salinities.) The project and reference areas are then classified according to pixel value into two distinct classes, land and water. After initial land and water ratios have been established by using photography obtained before and after project construction, subsequent comparisons can be made over time to determine land-water change.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds745","collaboration":"Prepared in cooperation with Coastal Protection and Restoration Authority of Louisiana, U.S. Army Corps of Engineers, U.S. Environmental Protection Agency, U.S. Fish and Wildlife Service, Natural Resources Conservation Service, and National Oceanic and Atmospheric Administration","usgsCitation":"Jones, W.R., and Garber, A., 2013, Classifications for Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) site-specific projects: 2010: U.S. Geological Survey Data Series 745, Pamphlet: iv, 8 p.; 2010 CWPPRA Maps: 10 Sheets: 58 x 47 inches; Data and Metadata Files, https://doi.org/10.3133/ds745.","productDescription":"Pamphlet: iv, 8 p.; 2010 CWPPRA Maps: 10 Sheets: 58 x 47 inches; Data and Metadata Files","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2010-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-037884","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":271818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds745.gif"},{"id":271805,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/745/"},{"id":271806,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/745/DS745.pdf"},{"id":271807,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/745/Maps_online%20only/cs27_2010l_Black%20Bayou%20Hydrologic%20Restoration_letter.pdf"},{"id":271808,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/745/Maps_online%20only/cs27_2010l_Black%20Bayou%20Hydrologic%20Restoration_poster.pdf"},{"id":271809,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/745/Maps_online%20only/cs27_2010l_Black%20Bayou%20Hydrologic%20Restoration_mosaic_ltr.pdf"},{"id":271810,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/745/Maps_online%20only/cs30_2005_2010l_GIWW-Perry%20Ridge%20West%20Bank%20Stabilization_poster.pdf"},{"id":271811,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/745/Maps_online%20only/cs30_2005_2010l_GIWW-Perry%20Ridge%20West%20Bank%20Stabilization_tabloid.pdf"},{"id":271812,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/745/Maps_online%20only/cs30_2010_GIWW-Perry%20Ridge%20West%20Bank%20Stabilization_mosaic_letter.pdf"},{"id":271813,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/745/Maps_online%20only/cs30_2010l_GIWW-Perry%20Ridge%20West%20Bank%20Stabilization_letter.pdf"},{"id":271814,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/745/Maps_online%20only/tv18_2010_Four%20Mile%20Canal%20Terracing%20and%20Sediment%20Trapping_letter.pdf"},{"id":271815,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/745/Maps_online%20only/tv18_2010_Four%20Mile%20Canal%20Terracing%20and%20Sediment%20Trapping_poster.pdf"},{"id":271816,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/745/Maps_online%20only/po06_2010lpr_Fritchie%20Marsh%20Restoration_letter.pdf"},{"id":271817,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/745/downloads2010/"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0,28.9 ], [ -94.0,33.0 ], [ -88.8,33.0 ], [ -88.8,28.9 ], [ -94.0,28.9 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51877151e4b078fc9c244b4f","contributors":{"authors":[{"text":"Jones, William R. 0000-0002-5493-4138 jonesb@usgs.gov","orcid":"https://orcid.org/0000-0002-5493-4138","contributorId":463,"corporation":false,"usgs":true,"family":"Jones","given":"William","email":"jonesb@usgs.gov","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":478339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garber, Adrienne 0000-0003-1139-8256 garbera@usgs.gov","orcid":"https://orcid.org/0000-0003-1139-8256","contributorId":464,"corporation":false,"usgs":true,"family":"Garber","given":"Adrienne","email":"garbera@usgs.gov","affiliations":[],"preferred":true,"id":478340,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045775,"text":"sir20135037 - 2013 - Plankton communities and summertime declines in algal abundance associated with low dissolved oxygen in the Tualatin River, Oregon","interactions":[],"lastModifiedDate":"2013-05-05T16:03:22","indexId":"sir20135037","displayToPublicDate":"2013-05-05T00:00:00","publicationYear":"2013","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":"2013-5037","title":"Plankton communities and summertime declines in algal abundance associated with low dissolved oxygen in the Tualatin River, Oregon","docAbstract":"Phytoplankton populations in the Tualatin River in northwestern Oregon are an important component of the dissolved oxygen (DO) budget of the river and are critical for maintaining DO levels in summer. During the low-flow summer period, sufficient nutrients and a long residence time typically combine with ample sunshine and warm water to fuel blooms of cryptophyte algae, diatoms, green and blue-green algae in the low-gradient, slow-moving reservoir reach of the lower river. Algae in the Tualatin River generally drift with the water rather than attach to the river bottom as a result of moderate water depths, slightly elevated turbidity caused by suspended colloidal material, and dominance of silty substrates. Growth of algae occurs as if on a “conveyor belt” of streamflow, a dynamic system that is continually refreshed with inflowing water. Transit through the system can take as long as 2 weeks during the summer low-flow period. Photosynthetic production of DO during algal blooms is important in offsetting oxygen consumption at the sediment-water interface caused by the decomposition of organic matter from primarily terrestrial sources, and the absence of photosynthesis can lead to low DO concentrations that can harm aquatic life. \n\nThe periods with the lowest DO concentrations in recent years (since 2003) typically occur in August following a decline in algal abundance and activity, when DO concentrations often decrease to less than State standards for extended periods (nearly 80 days). Since 2003, algal populations have tended to be smaller and algal blooms have terminated earlier compared to conditions in the 1990s, leading to more frequent declines in DO to levels that do not meet State standards. This study was developed to document the current abundance and species composition of phytoplankton in the Tualatin River, identify the possible causes of the general decline in algae, and evaluate hypotheses to explain why algal blooms diminish in midsummer. \n\nPlankton and water-quality sample data from 2006 to 2008 were combined with parts of a larger discrete-sample and continuous water-quality monitoring dataset and examined to identify patterns in water-quality and algal conditions since 1991, with a particular emphasis on 2003–08. Longitudinal plankton surveys were conducted in 2006–08 at six sites between river miles (RM) 24.5 and 3.4 at 2- to 3-week intervals, or 5–6 per season, and in-situ bioassay experiments were conducted in 2008 to examine the potential effects of wastewater treatment facility (WWTF) effluent and phosphorus additions on phytoplankton biomass and algal photosynthesis. Phytoplankton and zooplankton community composition, streamflow, and water-quality data were analyzed using multivariate statistical techniques to gain insights into plankton dynamics to determine what factors might be most tied to the abundance and characteristics of the phytoplankton assemblages, and identify possible causes of their declines.\n\nThe connection between low-DO events and algal declines was clearly evident, as bloom crashes were nearly always followed by periods of low DO. Algal blooms occurred each year during 2006–08, producing maximum chlorophyll-a (Chl-a) values in June or July generally in the range of 50–80 micrograms per liter (µg/L). Bloom crashes and absence of sufficient algal photosynthesis in mid- to late-summer contributed to minimum DO concentrations that were less than the State standard of 6.5 milligrams per liter (mg/L) based on the 30-day mean daily concentration, for 62–74 days each year. At times, the absolute minimum State standard (4 mg/L DO) also was not met. To learn more about why low-DO events occurred, specific algal declines during 2003–08 were scrutinized to determine their likely causal factors. From this information, a series of hypotheses were formulated and evaluated in terms of their ability to explain recent declines in algal populations in the river in late summer.\n\nMeteorological, streamflow, turbidity, water temperature, and conductance conditions in the Tualatin River during the 2006–08 summer seasons were not atypical. Natural flow comprised the majority (70–80 percent) of flow each year during spring, but then reduced to 38–40 percent during midsummer when WWTF effluent—which contributed as much as 36 percent—and flow augmentation releases comprised a greater fraction of the flow. Summer 2008 was unusual, however, in the prolonged influence from the Wapato Lake agricultural area near Gaston in the upper part of the basin. The previous winter flooding and levee breach at Wapato Lake caused a much greater area of inundation. As a result, drainage from this area continued into July, much later than normal. A subsequent algal bloom in Wapato Lake then seeded the upper Tualatin River, and this drainage had a profound effect on the downstream plankton community. A large blue-green algae bloom developed—the largest in recent memory—prompting a public health advisory for recreational contact for about two weeks.\n\nAlgal growths and surface blooms are a common feature of the Tualatin River. Most of the dominant algae have growth forms and morphologies that are well suited for planktonic life, employing spines and gas vacuoles to resist settling, forming colonies, and producing mucilage (or toxins) to resist zooplankton grazing. In 2006–08, 143 algal taxa were identified in 117 main-stem samples; diatoms and green algae were more diverse than blue-green, golden, and cryptophyte algae, although these later groups sometimes dominated the overall volumetric abundance (biovolume). The most frequently occurring taxa, occurring in 97–99 percent of samples, were flagellated cryptophytes Cryptomonas erosa and Rhodomonas minuta. Other important algal taxa included centric diatoms Stephanodiscus, Cyclotella, and Melosira species and colonial green algae Scenedesmus and Actinastrum. These taxa comprised the majority of the algal biovolume during much of the growing season. A general seasonal trend in the phytoplankton assemblages was observed, with dominance by filamentous centric diatoms Stephanodiscus and Melosira in spring and early summer, and flagellated cryptophytes and green algae, particularly Chlamydomonas sp., in late-summer; or, in 2008, dominance by blue-green algae Anabaena flos-aquae and Aphanizomenon flos-aquae during the Wapato Lake bloom event.\n\nThere were 99 zooplankton taxa identified from the Tualatin River in 2006–08, composed primarily of cladocerans, copepods, and rotifers. A seasonal increase in zooplankton abundance was observed in early summer just as or shortly after the phytoplankton population began to increase, with populations growing to 15,000−120,000 organisms per cubic meter in the lower river. Zooplankton abundance showed a predictable and distinct longitudinal downstream increase, particularly downstream of Highway 99W (RM 11.6). Although grazing rates were not measured, the data suggest that, at times, zooplankton grazing may affect algal abundance and species composition in the Tualatin River, with diatoms becoming relatively less abundant and flagellated cryptophytes and green algae relatively more abundant during periods when zooplankton densities were highest.\n\nMultivariate statistical analyses identified soluble reactive phosphorus (SRP), natural flow, flow augmentation, and WWTF effluent as important factors influencing Tualatin River phytoplankton populations, with zooplankton density (particularly rotifers and copepods), specific conductance, chloride, and water temperature also having an important influence. Although SRP was highly correlated with the plankton communities, that correlation was likely the result of high or low algal activity (uptake) as SRP concentrations were often reduced to low levels during blooms. While previous studies have already established that phosphorus, among other factors such as flow, places a theoretical cap on the size of the phytoplankton population in the river, sometimes algal declines occur when SRP concentrations are apparently sufficient. To identify alternative causal factors, additional analyses were performed without SRP to focus on other water-quality parameters, zooplankton density, and flow factors. Considering data for all 3 years and including just those samples from the lower Tualatin River not affected by the 2008 Wapato Lake drainage event, three factors (percentage of reservoir flow augmentation, total natural flow, and rotifer density) best explained variations in the phytoplankton assemblages.\n\nAnalyses focusing on the possible causes of algal declines included the above multivariate analyses, scrutiny of 10 specific instances of declines in algal populations during 2003–08 including several bloom–crash sequences, and analyses of historic routine watershed monitoring data from Clean Water Services. Six factors were hypothesized to be important in causing bloom crashes or impeding blooms from rebounding in August: (1) light limitation from cloudy weather, (2) a reduction in the plankton inocula or “seed” entering the lower river from upstream sources, (3) increased summer streamflows, (4) changes in the dominant sources of flow as the percentage of flow augmentation and WWTF discharges have increased, (5) zooplankton grazing, and (6) low concentrations of bioavailable phosphorus (<0.015 milligram per liter). All of these hypotheses are supported in some fashion by the available data and statistical analyses. Zooplankton grazing, short-term declines in photosynthesis from cloudy weather, total flow as it affects residence time, and the dominant source of flow are primary factors responsible for the low-DO events caused by declines in algae in the lower Tualatin River during late summer.\n\nCloudy weather and increased turbidity are known to inhibit algal growth in the Tualatin River, and slight increases in turbidity in recent years may be a problem. Upstream sources of algae are critical in determining the characteristics and size of downstream populations, as illustrated by the Wapato Lake bloom in 2008, but more data are needed from upstream to fully define the importance of this connection. The sources of flow, through their differential contribution of plankton inocula (quality and amount), were, at times, important factors affecting phytoplankton populations. While SRP concentrations were often most highly correlated with phytoplankton species community, the bioavailability of phosphorus is still somewhat unknown and there are several sources to consider. Preliminary bioassay tests suggested that while treated wastewater effluent may stimulate algae at 30 percent concentrations, negative effects (or decreased stimulation) on Chl-a and DO production may occur at concentrations of 50 percent. Targeted data collection and future research will be needed to further understand the importance of these factors on Tualatin River phytoplankton.\n\nWhile the data and analysis completed for this report provide insights into future research and monitoring that would be useful to continue, additional monitoring of turbidity, Chl-a, and plankton abundance and species composition in the upper part of the basin would enhance our understanding of plankton dynamics and factors affecting phytoplankton abundance in the lower river. Assessment of the key upstream sources of algal inocula via surveys of the major flow sources as well as tributaries and wetlands would provide useful information for the management of river water quality. Other studies that could prove useful for developing management strategies include targeted experiments to evaluate the bioavailability of phosphorus from a variety of sources. New research on phytoplankton–zooplankton interactions, and studies of planktivorous fish, might also provide insight about food web dynamics and potential “top-down” effects of fish predation on the plankton communities. In addition, further development of neural-network or other water-quality models would help to evaluate management strategies and provide forecasts of water-quality conditions. Finally, periodic future reassessments of the available data with the multivariate statistical tools used in this study would be helpful to assess whether and how plankton communities are changing, and to continue to shed light on the importance of factors shaping the plankton. Although certain types and sizes of algal blooms are undesirable, minimum phytoplankton populations are an important part of aquatic food webs and are needed to maintain healthy levels of DO in the river. By understanding the sources, characteristics, causal factors, and responses of the plankton communities, management strategies can be developed to improve DO conditions in the lower Tualatin River during the important summer low-flow period.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135037","collaboration":"Prepared in cooperation with Clean Water Services","usgsCitation":"Carpenter, K., and Rounds, S.A., 2013, Plankton communities and summertime declines in algal abundance associated with low dissolved oxygen in the Tualatin River, Oregon: U.S. Geological Survey Scientific Investigations Report 2013-5037, x, 78 p.; Appendixes A-C; Table 10, https://doi.org/10.3133/sir20135037.","productDescription":"x, 78 p.; Appendixes A-C; Table 10","additionalOnlineFiles":"Y","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":271825,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135037.jpg"},{"id":271821,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5037/appendixes/sir20135037_appendixA.xlsx"},{"id":271822,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5037/appendixes/sir20135037_appendixB.xlsx"},{"id":271823,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5037/appendixes/sir20135037_appendixC.xlsx"},{"id":271824,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5037/appendixes/sir20135037_table10.pdf"},{"id":271819,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5037/"},{"id":271820,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5037/pdf/sir20135037.pdf"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.6,42.0 ], [ -124.6,46.3 ], [ -116.5,46.3 ], [ -116.5,42.0 ], [ -124.6,42.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5187716ce4b078fc9c244b63","contributors":{"authors":[{"text":"Carpenter, Kurt D. kdcar@usgs.gov","contributorId":1372,"corporation":false,"usgs":true,"family":"Carpenter","given":"Kurt D.","email":"kdcar@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478342,"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":478341,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045771,"text":"ofr20121051 - 2013 - Benthic substrate classification map: Gulf Islands National Seashore","interactions":[],"lastModifiedDate":"2013-05-03T15:17:16","indexId":"ofr20121051","displayToPublicDate":"2013-05-03T00:00:00","publicationYear":"2013","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":"2012-1051","title":"Benthic substrate classification map: Gulf Islands National Seashore","docAbstract":"The 2005 hurricane season was devastating for the Mississippi Gulf Coast. Hurricane Katrina caused significant degradation of the barrier islands that compose the Gulf Islands National Seashore (GUIS). Because of the ability of coastal barrier islands to help mitigate hurricane damage to the mainland, restoring these habitats prior to the onset of future storms will help protect the islands themselves and the surrounding habitats.  During Hurricane Katrina, coastal barrier islands reduced storm surge by approximately 10 percent and moderated wave heights (Wamsley and others, 2009). Islands protected the mainland by preventing ocean waves from maintaining their size as they approached the mainland. In addition to storm protection, it is advantageous to restore these islands to preserve the cultural heritage present there (for example, Fort Massachusetts) and because of the influence that these islands have on marine ecology. For example, these islands help maintain a salinity regime favorable to oysters in the Mississippi Sound and provide critical habitats for many migratory birds and endangered species such as sea turtles (Chelonia mydas, Caretta caretta, and Dermochelys coriacea), Gulf sturgeon (Acipenser oxyrinchus desotoi), and piping plovers (Charadrius melodus) (U.S. Army Corps of Engineers, 2009a).  As land manager for the GUIS, the National Park Service (NPS) has been working with the State of Mississippi and the Mobile District of the U.S. Army Corps of Engineers to provide a set of recommendations to the Mississippi Coastal Improvements Program (MsCIP) that will guide restoration planning. The final set of recommendations includes directly renourishing both West Ship Island (to protect Fort Massachusetts) and East Ship Island (to restore the French Warehouse archaeological site); filling Camille Cut to recreate a continuous Ship Island; and restoring natural regional sediment transport processes by placing sand in the littoral zone just east of Petit Bois Island. Prevailing sediment transport processes will provide natural renourishment of the westward islands in the barrier system (U.S. Army Corps of Engineers, 2009b).  One difficulty in developing the final recommendations is that few data are available to incorporate into restoration plans related to bathymetry, sediment type, and biota. For example, the most recent bathymetry available dates to when East and West Ship Islands were a single continuous island (1917). As a result, the MsCIP program has encouraged post-hurricane bathymetric data collection for future reference. Furthermore, managing a complex environment such as this barrier island system for habitat conservation and best resource usage requires significant knowledge about those habitats and resources. To effectively address these issues, a complete and comprehensive understanding of the type, geographic extent, and condition of marine resources included within the GUIS is required. However, the data related to the GUIS marine resources are limited either spatially or temporally. Specifically, there is limited knowledge and information about the distribution of benthic habitats and the characteristics of the offshore region of the GUIS, even though these are the habitats that will be most affected by habitat restoration. The goal of this project is to develop a comprehensive map of the benthic marine habitats within the GUIS to give park managers the ability to develop strategies for coastal and ocean-resource management and to aid decisionmakers in evaluating conservation priorities.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121051","collaboration":"Prepared as part of the U.S. Geological Survey Northern Gulf of Mexico Progam","usgsCitation":"Lavoie, D., Flocks, J., Twichell, D., and Rose, K., 2013, Benthic substrate classification map: Gulf Islands National Seashore: U.S. Geological Survey Open-File Report 2012-1051, vi, 14 p., https://doi.org/10.3133/ofr20121051.","productDescription":"vi, 14 p.","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":271804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121051.gif"},{"id":271802,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1051/"},{"id":271803,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1051/pdf/ofr2012-1051.pdf"}],"country":"United States","state":"Mississippi","otherGeospatial":"Mississippi Gulf Coast","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.74,28.49 ], [ -88.74,30.4 ], [ -85.8,30.4 ], [ -85.8,28.49 ], [ -88.74,28.49 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5184ce51e4b04d6ec94d6295","contributors":{"authors":[{"text":"Lavoie, Dawn","contributorId":43881,"corporation":false,"usgs":true,"family":"Lavoie","given":"Dawn","affiliations":[],"preferred":false,"id":478333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flocks, James","contributorId":62266,"corporation":false,"usgs":true,"family":"Flocks","given":"James","affiliations":[],"preferred":false,"id":478334,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Twichell, Dave","contributorId":23421,"corporation":false,"usgs":true,"family":"Twichell","given":"Dave","affiliations":[],"preferred":false,"id":478332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rose, Kate","contributorId":66154,"corporation":false,"usgs":true,"family":"Rose","given":"Kate","email":"","affiliations":[],"preferred":false,"id":478335,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045769,"text":"sir20135084 - 2013 - Groundwater conditions in Georgia, 2010–2011","interactions":[],"lastModifiedDate":"2017-01-17T20:46:02","indexId":"sir20135084","displayToPublicDate":"2013-05-03T00:00:00","publicationYear":"2013","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":"2013-5084","title":"Groundwater conditions in Georgia, 2010–2011","docAbstract":"The U.S. Geological Survey collects groundwater data and conducts studies to monitor hydrologic conditions, better define groundwater resources, and address problems related to water supply, water use, and water quality. In Georgia, water levels were monitored continuously at 186 wells during calendar year 2010 and at 181 wells during calendar year 2011. Because of missing data or short periods of record (less than 3 years) for several of these wells, a total of 168 wells are discussed in this report. These wells include 17 in the surficial aquifer system, 19 in the Brunswick aquifer system and equivalent sediments, 70 in the Upper Floridan aquifer, 16 in the Lower Floridan aquifer and underlying units, 10 in the Claiborne aquifer, 1 in the Gordon aquifer, 11 in the Clayton aquifer, 14 in the Cretaceous aquifer system, 2 in Paleozoic-rock aquifers, and 8 in crystalline-rock aquifers. Data from the well network indicate that water levels generally declined during the 2010 through 2011 calendar-year period, with water levels declining in 158 wells and rising in 10. Water levels declined over the period of record at 106 wells, increased at 56 wells, and remained relatively constant at 6 wells.  In addition to continuous water-level data, periodic water-level measurements were collected and used to construct potentiometric-surface maps for the Upper Floridan aquifer in Camden, Charlton, and Ware Counties, Georgia, and adjacent counties in Florida during May–June 2010, and in the following areas in Georgia: the Brunswick area during August 2010 and August 2011, in the Albany–Dougherty County area during November 2010 and November 2011, and in the Augusta–Richmond County area during October 2010 and August 2011. In general, water levels in these areas were lower during 2011 than during 2010; however, the configuration of the potentiometric surfaces in each of the areas showed little change.  Groundwater quality in the Floridan aquifer system is monitored in the Albany, Savannah, and Brunswick areas of Georgia. In the Albany area, nitrate as nitrogen concentrations in the Upper Floridan aquifer during 2011 generally decreased from 2010; however, concentrations in two wells remained above the U.S. Environmental Protection Agency (USEPA) 10-milligrams-per-liter (mg/L) drinking-water standard. In the Savannah area, specific conductance and chloride concentrations were measured in water samples from discrete depths in two wells completed in the Upper Floridan aquifer. Data from the two wells indicate that chloride concentrations in the Upper Floridan aquifer showed little change during calendar years 2010 through 2011 and remained below the 250 mg/L USEPA secondary drinking-water standard. During calendar years 2010 through 2011, chloride concentrations in the Lower Floridan aquifer increased slightly at Tybee Island and Skidaway Island, remaining above the drinking-water standard. In the Brunswick area, maps showing the chloride concentration of water in the Upper Floridan aquifer constructed using data collected from 32 wells during August 2010 and from 30 wells during August 2011 indicate that chloride concentrations remained above the USEPA secondary drinking-water standard in an approximately 2-square-mile area. During calendar years 2010 through 2011, chloride concentrations generally decreased in over 70 percent of the wells sampled during 2011, with a maximum decrease of 200 mg/L in a well located in the north-central part of the Brunswick area.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135084","usgsCitation":"Peck, M., Gordon, D., and Painter, J.A., 2013, Groundwater conditions in Georgia, 2010–2011: U.S. Geological Survey Scientific Investigations Report 2013-5084, iv, 65 p., https://doi.org/10.3133/sir20135084.","productDescription":"iv, 65 p.","numberOfPages":"71","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":271798,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135084.gif"},{"id":271796,"type":{"id":15,"text":"Index 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,{"id":70045765,"text":"tm6A45 - 2013 - MODFLOW–USG version 1: An unstructured grid version of MODFLOW for simulating groundwater flow and tightly coupled processes using a control volume finite-difference formulation","interactions":[],"lastModifiedDate":"2013-05-03T09:00:59","indexId":"tm6A45","displayToPublicDate":"2013-05-03T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A45","title":"MODFLOW–USG version 1: An unstructured grid version of MODFLOW for simulating groundwater flow and tightly coupled processes using a control volume finite-difference formulation","docAbstract":"A new version of MODFLOW, called MODFLOW–USG (for UnStructured Grid), was developed to support a wide variety of structured and unstructured grid types, including nested grids and grids based on prismatic triangles, rectangles, hexagons, and other cell shapes. Flexibility in grid design can be used to focus resolution along rivers and around wells, for example, or to subdiscretize individual layers to better represent hydrostratigraphic units. MODFLOW–USG is based on an underlying control volume finite difference (CVFD) formulation in which a cell can be connected to an arbitrary number of adjacent cells. To improve accuracy of the CVFD formulation for irregular grid-cell geometries or nested grids, a generalized Ghost Node Correction (GNC) Package was developed, which uses interpolated heads in the flow calculation between adjacent connected cells. MODFLOW–USG includes a Groundwater Flow (GWF) Process, based on the GWF Process in MODFLOW–2005, as well as a new Connected Linear Network (CLN) Process to simulate the effects of multi-node wells, karst conduits, and tile drains, for example. The CLN Process is tightly coupled with the GWF Process in that the equations from both processes are formulated into one matrix equation and solved simultaneously. This robustness results from using an unstructured grid with unstructured matrix storage and solution schemes. MODFLOW–USG also contains an optional Newton-Raphson formulation, based on the formulation in MODFLOW–NWT, for improving solution convergence and avoiding problems with the drying and rewetting of cells. Because the existing MODFLOW solvers were developed for structured and symmetric matrices, they were replaced with a new Sparse Matrix Solver (SMS) Package developed specifically for MODFLOW–USG. The SMS Package provides several methods for resolving nonlinearities and multiple symmetric and asymmetric linear solution schemes to solve the matrix arising from the flow equations and the Newton-Raphson formulation, respectively.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Ground Water in Book 6 <i> Modeling Techniques </i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A45","collaboration":"Groundwater Resources Program  Prepared in collaboration with AMEC; This report is Chapter 45 of Section A: Ground Water in Book 6: <i>Modeling Techniques</i>","usgsCitation":"Panday, S., Langevin, C.D., Niswonger, R., Ibaraki, M., and Hughes, J.D., 2013, MODFLOW–USG version 1: An unstructured grid version of MODFLOW for simulating groundwater flow and tightly coupled processes using a control volume finite-difference formulation: U.S. Geological Survey Techniques and Methods 6-A45, Report: vii, 68 p.; Available Software, https://doi.org/10.3133/tm6A45.","productDescription":"Report: vii, 68 p.; Available Software","numberOfPages":"78","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":271788,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm6A45.gif"},{"id":271786,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/06/a45/pdf/tm6-A45.pdf"},{"id":271787,"type":{"id":7,"text":"Companion Files"},"url":"https://water.usgs.gov/ogw/mfusg/"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5184ce62e4b04d6ec94d62a1","contributors":{"authors":[{"text":"Panday, Sorab","contributorId":100513,"corporation":false,"usgs":true,"family":"Panday","given":"Sorab","affiliations":[],"preferred":false,"id":478318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":478314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niswonger, Richard G.","contributorId":45402,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","affiliations":[],"preferred":false,"id":478316,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ibaraki, Motomu","contributorId":81235,"corporation":false,"usgs":true,"family":"Ibaraki","given":"Motomu","email":"","affiliations":[],"preferred":false,"id":478317,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":478315,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045762,"text":"ofr20131103 - 2013 - A collaborative user-producer assessment of earthquake-response products","interactions":[],"lastModifiedDate":"2013-05-02T16:27:39","indexId":"ofr20131103","displayToPublicDate":"2013-05-02T00:00:00","publicationYear":"2013","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":"2013-1103","title":"A collaborative user-producer assessment of earthquake-response products","docAbstract":"The U.S. Geological Survey (USGS) and the Washington State Emergency Management Division assessed how well USGS earthquake-response products met the needs of emergency managers at county and local levels. Focus-group responses guided development of new products for testing in a regional-scale earthquake exercise. The assessment showed that (1) emergency responders consider most USGS products unnecessary after the first few postearthquake hours because the products are predictors, and responders are quickly immersed in reality; (2) during crises a significant fraction of personnel engaged in emergency response are drawn from many sectors, increasing the breadth of education well beyond emergency management agencies; (3) many emergency personnel do not use maps; and (4) information exchange, archiving, and analyses involve mechanisms and technical capabilities that vary among agencies, so widely used products must be technically versatile and easy to use.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131103","collaboration":"In cooperation with the Washington Military Department, Emergency Management Division","usgsCitation":"Gomberg, J., and Jakobitz, A., 2013, A collaborative user-producer assessment of earthquake-response products: U.S. Geological Survey Open-File Report 2013-1103, iii, 13 p., https://doi.org/10.3133/ofr20131103.","productDescription":"iii, 13 p.","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":271785,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131103.gif"},{"id":271783,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1103/"},{"id":271784,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1103/of2013-1103.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd498be4b0b290850ef440","contributors":{"authors":[{"text":"Gomberg, Joan","contributorId":77919,"corporation":false,"usgs":true,"family":"Gomberg","given":"Joan","affiliations":[],"preferred":false,"id":478310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jakobitz, Allen","contributorId":103159,"corporation":false,"usgs":true,"family":"Jakobitz","given":"Allen","email":"","affiliations":[],"preferred":false,"id":478311,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045719,"text":"70045719 - 2013 - Type specimens of Crotalus scutulatus (Chordata: Reptilia: Squamata: Viperidae) re-examined, with new evidence after more than a century of confusion","interactions":[],"lastModifiedDate":"2013-05-02T11:09:41","indexId":"70045719","displayToPublicDate":"2013-05-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3147,"text":"Proceedings of the Biological Society of Washington","active":true,"publicationSubtype":{"id":10}},"title":"Type specimens of Crotalus scutulatus (Chordata: Reptilia: Squamata: Viperidae) re-examined, with new evidence after more than a century of confusion","docAbstract":"The original description of Crotalus scutulatus (Chordata: Reptilia: Squamata: Viperidae) was published in 1861 by Robert Kennicott, who did not identify a type specimen or a type locality. We review the history of specimens purported to be the type(s) and various designations of type locality. We provide evidence that ANSP 7069 (formerly one of two specimens of USNM 5027) is the holotype and that the appropriate type locality is Fort Buchanan, near present-day Sonoita, in Santa Cruz County, Arizona.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the Biological Society of Washington","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Biological Society of Washington","doi":"10.2988/0006-324X-126.1.11","usgsCitation":"Cardwell, M.D., Gotte, S.W., McDiarmid, R.W., Gilmore, N., and Poindexter, J.A., 2013, Type specimens of Crotalus scutulatus (Chordata: Reptilia: Squamata: Viperidae) re-examined, with new evidence after more than a century of confusion: Proceedings of the Biological Society of Washington, v. 126, no. 1, p. 11-16, https://doi.org/10.2988/0006-324X-126.1.11.","productDescription":"6 p.","startPage":"11","endPage":"16","ipdsId":"IP-041187","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":271742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271741,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2988/0006-324X-126.1.11"}],"volume":"126","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51837cece4b0a21483941a71","contributors":{"authors":[{"text":"Cardwell, Michael D.","contributorId":27339,"corporation":false,"usgs":true,"family":"Cardwell","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":478187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gotte, Steve W. 0000-0001-5509-4495 sgotte@usgs.gov","orcid":"https://orcid.org/0000-0001-5509-4495","contributorId":4481,"corporation":false,"usgs":true,"family":"Gotte","given":"Steve","email":"sgotte@usgs.gov","middleInitial":"W.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":478185,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDiarmid, Roy W. 0000-0002-7649-1796 rmcdiarmid@usgs.gov","orcid":"https://orcid.org/0000-0002-7649-1796","contributorId":3603,"corporation":false,"usgs":true,"family":"McDiarmid","given":"Roy","email":"rmcdiarmid@usgs.gov","middleInitial":"W.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":478184,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gilmore, Ned","contributorId":83419,"corporation":false,"usgs":true,"family":"Gilmore","given":"Ned","email":"","affiliations":[],"preferred":false,"id":478188,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poindexter, James A. jpoindexter@usgs.gov","contributorId":5111,"corporation":false,"usgs":true,"family":"Poindexter","given":"James","email":"jpoindexter@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":478186,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045720,"text":"70045720 - 2013 - Presence-only modeling using MAXENT: when can we trust the inferences?","interactions":[],"lastModifiedDate":"2013-05-02T10:08:03","indexId":"70045720","displayToPublicDate":"2013-05-02T00:00:00","publicationYear":"2013","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":"Presence-only modeling using MAXENT: when can we trust the inferences?","docAbstract":"1. Recently, interest in species distribution modelling has increased following the development of new methods for the analysis of presence-only data and the deployment of these methods in user-friendly and powerful computer programs. However, reliable inference from these powerful tools requires that several assumptions be met, including the assumptions that observed presences are the consequence of random or representative sampling and that detectability during sampling does not vary with the covariates that determine occurrence probability.\n2. Based on our interactions with researchers using these tools, we hypothesized that many presence-only studies were ignoring important assumptions of presence-only modelling. We tested this hypothesis by reviewing 108 articles published between 2008 and 2012 that used the MAXENT algorithm to analyse empirical (i.e. not simulated) data. We chose to focus on these articles because MAXENT has been the most popular algorithm in recent years for analysing presence-only data.\n3. Many articles (87%) were based on data that were likely to suffer from sample selection bias; however, methods to control for sample selection bias were rarely used. In addition, many analyses (36%) discarded absence information by analysing presence–absence data in a presence-only framework, and few articles (14%) mentioned detection probability. We conclude that there are many misconceptions concerning the use of presence-only models, including the misunderstanding that MAXENT, and other presence-only methods, relieve users from the constraints of survey design.\n4. In the process of our literature review, we became aware of other factors that raised concerns about the validity of study conclusions. In particular, we observed that 83% of articles studies focused exclusively on model output (i.e. maps) without providing readers with any means to critically examine modelled relationships and that MAXENT's logistic output was frequently (54% of articles) and incorrectly interpreted as occurrence probability.\n5. We conclude with a series of recommendations foremost that researchers analyse data in a presence–absence framework whenever possible, because fewer assumptions are required and inferences can be made about clearly defined parameters such as occurrence probability.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Methods in Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/2041-210x.12004","usgsCitation":"Yackulic, C.B., Chandler, R., Zipkin, E., Royle, J., Nichols, J., Grant, E., and Veran, S., 2013, Presence-only modeling using MAXENT: when can we trust the inferences?: Methods in Ecology and Evolution, v. 4, no. 3, p. 236-243, https://doi.org/10.1111/2041-210x.12004.","productDescription":"8 p.","startPage":"236","endPage":"243","ipdsId":"IP-041882","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473843,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.12004","text":"Publisher Index Page"},{"id":271731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271730,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/2041-210x.12004"}],"volume":"4","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-11-21","publicationStatus":"PW","scienceBaseUri":"51837cebe4b0a21483941a61","contributors":{"authors":[{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":478192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chandler, Richard rchandler@usgs.gov","contributorId":2511,"corporation":false,"usgs":true,"family":"Chandler","given":"Richard","email":"rchandler@usgs.gov","affiliations":[{"id":13266,"text":"Warnell School of Forestry and Natural Resources, The University of Georgia","active":true,"usgs":false}],"preferred":false,"id":478190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zipkin, Elise F.","contributorId":70528,"corporation":false,"usgs":true,"family":"Zipkin","given":"Elise F.","affiliations":[],"preferred":false,"id":478193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":478195,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":478189,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grant, Evan H. Campbell ehgrant@usgs.gov","contributorId":3696,"corporation":false,"usgs":true,"family":"Grant","given":"Evan H. Campbell","email":"ehgrant@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":478191,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Veran, Sophie","contributorId":76983,"corporation":false,"usgs":true,"family":"Veran","given":"Sophie","email":"","affiliations":[],"preferred":false,"id":478194,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70045722,"text":"70045722 - 2013 - Spatial capture-recapture models for jointly estimating population density and landscape connectivity","interactions":[],"lastModifiedDate":"2013-05-02T10:21:54","indexId":"70045722","displayToPublicDate":"2013-05-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial capture-recapture models for jointly estimating population density and landscape connectivity","docAbstract":"Population size and landscape connectivity are key determinants of population viability, yet no methods exist for simultaneously estimating density and connectivity parameters. Recently developed spatial capture–recapture (SCR) models provide a framework for estimating density of animal populations but thus far have not been used to study connectivity. Rather, all applications of SCR models have used encounter probability models based on the Euclidean distance between traps and animal activity centers, which implies that home ranges are stationary, symmetric, and unaffected by landscape structure. In this paper we devise encounter probability models based on “ecological distance,” i.e., the least-cost path between traps and activity centers, which is a function of both Euclidean distance and animal movement behavior in resistant landscapes. We integrate least-cost path models into a likelihood-based estimation scheme for spatial capture–recapture models in order to estimate population density and parameters of the least-cost encounter probability model. Therefore, it is possible to make explicit inferences about animal density, distribution, and landscape connectivity as it relates to animal movement from standard capture–recapture data. Furthermore, a simulation study demonstrated that ignoring landscape connectivity can result in negatively biased density estimators under the naive SCR model.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ESA","doi":"10.1890/12-0413.1","usgsCitation":"Royle, J., Chandler, R.B., Gazenski, K.D., and Graves, T.A., 2013, Spatial capture-recapture models for jointly estimating population density and landscape connectivity: Ecology, v. 94, no. 2, p. 287-294, https://doi.org/10.1890/12-0413.1.","productDescription":"8 p.","startPage":"287","endPage":"294","ipdsId":"IP-042013","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473845,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/12-0413.1","text":"Publisher Index Page"},{"id":271735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271734,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/12-0413.1"}],"volume":"94","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51837cebe4b0a21483941a65","contributors":{"authors":[{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":478207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chandler, Richard B. rchandler@usgs.gov","contributorId":63524,"corporation":false,"usgs":true,"family":"Chandler","given":"Richard","email":"rchandler@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":false,"id":478206,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gazenski, Kimberly D.","contributorId":55306,"corporation":false,"usgs":true,"family":"Gazenski","given":"Kimberly","email":"","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":478205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graves, Tabitha A. 0000-0001-5145-2400 tgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":5898,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha","email":"tgraves@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":478204,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045746,"text":"sir20135054 - 2013 - Iron mineralogy and bioaccessibility of dust generated from soils as determined by reflectance spectroscopy and magnetic and chemical properties--Nellis Dunes recreational area, Nevada","interactions":[],"lastModifiedDate":"2013-05-02T10:54:40","indexId":"sir20135054","displayToPublicDate":"2013-05-02T00:00:00","publicationYear":"2013","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":"2013-5054","title":"Iron mineralogy and bioaccessibility of dust generated from soils as determined by reflectance spectroscopy and magnetic and chemical properties--Nellis Dunes recreational area, Nevada","docAbstract":"Atmospheric mineral dust exerts many important effects on the Earth system, such as atmospheric temperatures, marine productivity, and melting of snow and ice. Mineral dust also can have detrimental effects on human health through respiration of very small particles and the leaching of metals in various organs. These effects can be better understood through characterization of the physical and chemical properties of dust, including certain iron oxide minerals, for their extraordinary radiative properties and possible effects on lung inflammation. Studies of dust from the Nellis Dunes recreation area near Las Vegas, Nevada, focus on characteristics of radiative properties (capacity of dust to absorb solar radiation), iron oxide mineral type and size, chemistry, and bioaccessibility of metals in fluids that simulate human gastric, lung, and phagolysosomal fluids. In samples of dust from the Nellis Dunes recreation area with median grain sizes of 2.4, 3.1, and 4.3 micrometers, the ferric oxide minerals goethite and hematite, at least some of it nanosized, were identified. In one sample, in vitro bioaccessibility experiments revealed high bioaccessibility of arsenic in all three biofluids and higher leachate concentration and bioaccessibility for copper, uranium, and vanadium in the simulated lung fluid than in the phagolysosomal fluid. The combination of methods used here to characterize mineral dust at the Nellis Dunes recreation area can be applied to global dust and broad issues of public health.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135054","usgsCitation":"Goldstein, H., Reynolds, R.L., Morman, S.A., Moskowitz, B., Kokaly, R., Goossens, D., Buck, B.J., Flagg, C., Till, J., Yauk, K., and Berquo, T.S., 2013, Iron mineralogy and bioaccessibility of dust generated from soils as determined by reflectance spectroscopy and magnetic and chemical properties--Nellis Dunes recreational area, Nevada: U.S. Geological Survey Scientific Investigations Report 2013-5054, vi, 16 p., https://doi.org/10.3133/sir20135054.","productDescription":"vi, 16 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":271723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135054.gif"},{"id":271721,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5054/"},{"id":271722,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5054/SIR13-5054.pdf"}],"country":"United States","state":"Nevada","otherGeospatial":"Nellis Dunes Recreational Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01638888888888889,35.5 ], [ -0.01638888888888889,8.333333333333334E-4 ], [ -115.5,8.333333333333334E-4 ], [ -115.5,35.5 ], [ -0.01638888888888889,35.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51837ce9e4b0a21483941a59","contributors":{"authors":[{"text":"Goldstein, Harland L.","contributorId":32999,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland L.","affiliations":[],"preferred":false,"id":478233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":441,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":271,"text":"Federal Center","active":false,"usgs":true}],"preferred":true,"id":478229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morman, Suzette A. 0000-0002-2532-1033 smorman@usgs.gov","orcid":"https://orcid.org/0000-0002-2532-1033","contributorId":996,"corporation":false,"usgs":true,"family":"Morman","given":"Suzette","email":"smorman@usgs.gov","middleInitial":"A.","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":478230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moskowitz, Bruce","contributorId":68629,"corporation":false,"usgs":true,"family":"Moskowitz","given":"Bruce","affiliations":[],"preferred":false,"id":478235,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":81442,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond F.","affiliations":[],"preferred":false,"id":478237,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goossens, Dirk","contributorId":23419,"corporation":false,"usgs":true,"family":"Goossens","given":"Dirk","email":"","affiliations":[],"preferred":false,"id":478232,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Buck, Brenda J.","contributorId":85864,"corporation":false,"usgs":true,"family":"Buck","given":"Brenda","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":478238,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Flagg, Cody","contributorId":21848,"corporation":false,"usgs":true,"family":"Flagg","given":"Cody","affiliations":[],"preferred":false,"id":478231,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Till, Jessica","contributorId":108005,"corporation":false,"usgs":true,"family":"Till","given":"Jessica","email":"","affiliations":[],"preferred":false,"id":478239,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yauk, Kimberly","contributorId":75415,"corporation":false,"usgs":true,"family":"Yauk","given":"Kimberly","email":"","affiliations":[],"preferred":false,"id":478236,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Berquo, Thelma S.","contributorId":40106,"corporation":false,"usgs":true,"family":"Berquo","given":"Thelma","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":478234,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70045750,"text":"ds764 - 2013 - Petrographic and geochemical data for Cenozoic volcanic rocks of the Bodie Hills, California and Nevada","interactions":[],"lastModifiedDate":"2016-08-24T09:45:47","indexId":"ds764","displayToPublicDate":"2013-05-02T00:00:00","publicationYear":"2013","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":"764","title":"Petrographic and geochemical data for Cenozoic volcanic rocks of the Bodie Hills, California and Nevada","docAbstract":"<p>Petrographic and geochemical data for Cenozoic volcanic rocks of the Bodie Hills, California and Nevada <!-- meta tags for google scholar indexing and zotero/mendeley parsing -->\n<script src=\"//www.google-analytics.com/analytics.js\" type=\"mce-no/type\"></script>\n<script src=\"//www.google-analytics.com/analytics.js\" type=\"mce-no/type\"></script>\n<script id=\"twitter-wjs\" src=\"https://platform.twitter.com/widgets.js\" type=\"mce-no/type\"></script>\n<script type=\"mce-text/x-mathjax-config;executed=true\">// <![CDATA[\n              MathJax.Hub.Config({\n                extensions: [\"tex2jax.js\"],\n                jax: [\"input/TeX\", \"output/SVG\"],\n                tex2jax: {\n                  inlineMath: [ ['$','$'], [\"\\\\(\",\"\\\\)\"] ],\n                  displayMath: [ ['$$','$$'], [\"\\\\[\",\"\\\\]\"] ],\n                  processEscapes: true\n                },\n              });\n            \n// ]]></script>\n<script src=\"https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=default\" type=\"mce-text/javascript\"></script>\n<script src=\"../pubswh/static/js/vendor/modernizr-2.6.2.min.js\" type=\"mce-no/type\"></script>\n<script type=\"mce-no/type\">// <![CDATA[\nfunction toggle_visibility(id) {\n       var e = document.getElementById(id);\n       if(e.style.display == 'block')\n          e.style.display = 'none';\n       else\n          e.style.display = 'block';\n    }\n// ]]></script>\n<script id=\"_fed_an_ua_tag\" src=\"https://www2.usgs.gov/scripts/analytics/Universal-Federated-Analytics-Min.js?agency=DOI&amp;subagency=USGS&amp;pua=UA-23479674-1&amp;dclink=true\" type=\"mce-text/javascript\"></script>\n<script src=\"https://www2.usgs.gov/scripts/analytics/usa-search.js\" type=\"mce-text/javascript\"></script>\n<script src=\"https://search.usa.gov/javascripts/remote.loader.js\" type=\"mce-text/javascript\"></script>\n<script src=\"https://platform.twitter.com/js/button.a1287ca71ce6e06bb8d64fd87cd04244.js\" type=\"mce-text/javascript\"></script>\nThis report presents petrographic and geochemical data for samples collected during investigations of Tertiary volcanism in the Bodie Hills of California and Nevada. Igneous rocks in the area are principally 15&ndash;6 Ma subduction-related volcanic rocks of the Bodie Hills volcanic field but also include 3.9&ndash;0.1 Ma rocks of the bimodal, post-subduction Aurora volcanic field. Limited petrographic results for local basement rocks, including Mesozoic granitoid rocks and their metamorphic host rocks, are also included in the compilation. The petrographic data include visual estimates of phenocryst abundances as well as other diagnostic petrographic criteria. The geochemical data include whole-rock major oxide and trace element data, as well as limited whole-rock isotopic data.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds764","usgsCitation":"du Bray, E.A., John, D.A., Box, S.E., Vikre, P.G., Fleck, R.J., and Cousens, B.L., 2016, Petrographic and geochemical data for Cenozoic volcanic rocks of the Bodie Hills, California and Nevada (ver. 1.1, August 2016): U.S. Geological Survey Data Series 764, 10 p., https://dx.doi.org/10.3133/ds764.","productDescription":"Report: iii, 10 p.; 3 Appendixes","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":271745,"rank":0,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/764/"},{"id":327107,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/ds/764/versionHist.txt","size":"4 kB","linkFileType":{"id":2,"text":"txt"}},{"id":271748,"rank":0,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/764/Appendix1.xls","text":"Appendix 1","size":"320 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 1"},{"id":271746,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/764/DS764_pamphlet.pdf","text":"Report"},{"id":271749,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/764/Appendix3.xls","text":"Appendix 3","size":"568 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 3"},{"id":271750,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/764/coverthb2.jpg"},{"id":271747,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/764/Appendix2.xls","text":"Appendix 2","size":"488 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 2"}],"country":"United States","state":"California;Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.0 ], [ -114.13,42.0 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","edition":"Version 1.0: Originally posted April 23, 2013; Version 1.1: August 22, 2016","contact":"<p>Director, Central Mineral and Environmental Resources Science Center<br>U.S. Geological Survey<br>Box 25046, MS 973<br>Denver, CO 80225-0046</p><p><a href=\"http://minerals.cr.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://minerals.cr.usgs.gov/\">http://minerals.cr.usgs.gov/</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Analytical Methods</li><li>Data Fields</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Status and Treatment of Samples /li&gt;</li><li>Appendix 2. Petrographic Data for Rock Samples</li><li>Appendix 3. Geochemical Data for Rock Samples</li></ul>","publishedDate":"2013-04-23","revisedDate":"2016-08-22","noUsgsAuthors":false,"publicationDate":"2013-04-23","publicationStatus":"PW","scienceBaseUri":"51837ceae4b0a21483941a5d","contributors":{"authors":[{"text":"du Bray, Edward A. 0000-0002-4383-8394 edubray@usgs.gov","orcid":"https://orcid.org/0000-0002-4383-8394","contributorId":755,"corporation":false,"usgs":true,"family":"du Bray","given":"Edward","email":"edubray@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":478250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"John, David A. 0000-0001-7977-9106 djohn@usgs.gov","orcid":"https://orcid.org/0000-0001-7977-9106","contributorId":1748,"corporation":false,"usgs":true,"family":"John","given":"David","email":"djohn@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":478252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Box, Stephen E. 0000-0002-5268-8375 sbox@usgs.gov","orcid":"https://orcid.org/0000-0002-5268-8375","contributorId":1843,"corporation":false,"usgs":true,"family":"Box","given":"Stephen","email":"sbox@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":478253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vikre, Peter G.","contributorId":49901,"corporation":false,"usgs":true,"family":"Vikre","given":"Peter G.","affiliations":[],"preferred":false,"id":478254,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fleck, Robert J. 0000-0002-3149-8249 fleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3149-8249","contributorId":1048,"corporation":false,"usgs":true,"family":"Fleck","given":"Robert","email":"fleck@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":478251,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cousens, Brian L.","contributorId":84038,"corporation":false,"usgs":true,"family":"Cousens","given":"Brian L.","affiliations":[],"preferred":false,"id":478255,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70045790,"text":"70045790 - 2013 - Restoring a stream, restoring a community-urban watershed restoration fosters community improvement","interactions":[],"lastModifiedDate":"2017-12-19T19:39:23","indexId":"70045790","displayToPublicDate":"2013-05-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Restoring a stream, restoring a community-urban watershed restoration fosters community improvement","docAbstract":"The Anacostia Watershed lies within the Chesapeake By drainage basin, and is one of the most urban watersheds within the basin. According to the Fish and Wildlife Service, the watershed spans over 175 square miles\tbetween Maryland and the District of Columbia and is considered by many to be one of the most\tdegraded waterways in the United States. Watts Branch is a tributary stream\tof the Anacostia River, and flows\tinto the Potomac River which eventually\tempties into  the Chesapeake Bay","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70045790","usgsCitation":"Thomas, C.C., and Myrick, E., 2013, Restoring a stream, restoring a community-urban watershed restoration fosters community improvement, https://doi.org/10.3133/70045790.","numberOfPages":"4","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":271855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Maryl","otherGeospatial":"Anacostia Watershed;Chesapeake Bay;Potomac River;Watts Branch","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.250717,39.038262 ], [ -77.250717,39.045917 ], [ -77.233672,39.045917 ], [ -77.233672,39.038262 ], [ -77.250717,39.038262 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5188d4e5e4b023d2d75b9a8d","contributors":{"authors":[{"text":"Thomas, Catherine Cullinane","contributorId":44015,"corporation":false,"usgs":true,"family":"Thomas","given":"Catherine","email":"","middleInitial":"Cullinane","affiliations":[],"preferred":false,"id":478361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Myrick, Elizabeth","contributorId":17118,"corporation":false,"usgs":true,"family":"Myrick","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":478360,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045740,"text":"70045740 - 2013 - Extending airborne electromagnetic surveys for regional active layer and permafrost mapping with remote sensing and ancillary data, Yukon Flats ecoregion, central Alaska","interactions":[],"lastModifiedDate":"2018-01-12T17:20:50","indexId":"70045740","displayToPublicDate":"2013-05-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3032,"text":"Permafrost and Periglacial Processes","active":true,"publicationSubtype":{"id":10}},"title":"Extending airborne electromagnetic surveys for regional active layer and permafrost mapping with remote sensing and ancillary data, Yukon Flats ecoregion, central Alaska","docAbstract":"Machine-learning regression tree models were used to extrapolate airborne electromagnetic resistivity data collected along flight lines in the Yukon Flats Ecoregion, central Alaska, for regional mapping of permafrost. This method of extrapolation (r = 0.86) used subsurface resistivity, Landsat Thematic Mapper (TM) at-sensor reflectance, thermal, TM-derived spectral indices, digital elevation models and other relevant spatial data to estimate near-surface (0–2.6-m depth) resistivity at 30-m resolution. A piecewise regression model (r = 0.82) and a presence/absence decision tree classification (accuracy of 87%) were used to estimate active-layer thickness (ALT) (< 101 cm) and the probability of near-surface (up to 123-cm depth) permafrost occurrence from field data, modelled near-surface (0–2.6 m) resistivity, and other relevant remote sensing and map data. At site scale, the predicted ALTs were similar to those previously observed for different vegetation types. At the landscape scale, the predicted ALTs tended to be thinner on higher-elevation loess deposits than on low-lying alluvial and sand sheet deposits of the Yukon Flats. The ALT and permafrost maps provide a baseline for future permafrost monitoring, serve as inputs for modelling hydrological and carbon cycles at local to regional scales, and offer insight into the ALT response to fire and thaw processes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Permafrost and Periglacial Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/ppp.1775","usgsCitation":"Pastick, N.J., Jorgenson, M., Wylie, B.K., Minsley, B.J., Ji, L., Walvoord, M.A., Smith, B.D., Abraham, J., and Rose, J.R., 2013, Extending airborne electromagnetic surveys for regional active layer and permafrost mapping with remote sensing and ancillary data, Yukon Flats ecoregion, central Alaska: Permafrost and Periglacial Processes, v. 24, no. 3, p. 184-199, https://doi.org/10.1002/ppp.1775.","productDescription":"16 p.","startPage":"184","endPage":"199","ipdsId":"IP-037584","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":271728,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/ppp.1775"},{"id":271729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon Flats","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -149.55,65.47 ], [ -149.55,67.47 ], [ -142.43,67.47 ], [ -142.43,65.47 ], [ -149.55,65.47 ] ] ] } } ] }","volume":"24","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-04-29","publicationStatus":"PW","scienceBaseUri":"51837ce5e4b0a21483941a49","contributors":{"authors":[{"text":"Pastick, Neal J. 0000-0002-8169-3018 njpastick@usgs.gov","orcid":"https://orcid.org/0000-0002-8169-3018","contributorId":4785,"corporation":false,"usgs":true,"family":"Pastick","given":"Neal","email":"njpastick@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":478219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jorgenson, M. Torre","contributorId":40486,"corporation":false,"usgs":true,"family":"Jorgenson","given":"M. Torre","affiliations":[],"preferred":false,"id":478220,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":478216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":478215,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ji, Lei 0000-0002-6133-1036 lji@usgs.gov","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":2832,"corporation":false,"usgs":true,"family":"Ji","given":"Lei","email":"lji@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":478218,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walvoord, Michelle Ann 0000-0003-4269-8366 walvoord@usgs.gov","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":147211,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"walvoord@usgs.gov","middleInitial":"Ann","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":478223,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Bruce D. 0000-0002-1643-2997 bsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-1643-2997","contributorId":845,"corporation":false,"usgs":true,"family":"Smith","given":"Bruce","email":"bsmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":478217,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Abraham, Jared D.","contributorId":42630,"corporation":false,"usgs":true,"family":"Abraham","given":"Jared D.","affiliations":[],"preferred":false,"id":478221,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rose, Joshua R.","contributorId":90147,"corporation":false,"usgs":true,"family":"Rose","given":"Joshua","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":478222,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70045682,"text":"70045682 - 2013 - Detecting drawdowns masked by environmental stresses with water-level models","interactions":[],"lastModifiedDate":"2015-10-26T13:48:22","indexId":"70045682","displayToPublicDate":"2013-05-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Detecting drawdowns masked by environmental stresses with water-level models","docAbstract":"<p>Detecting and quantifying small drawdown at observation wells distant from the pumping well greatly expands the characterized aquifer volume. However, this detection is often obscured by water level fluctuations such as barometric and tidal effects. A reliable analytical approach for distinguishing drawdown from nonpumping water-level fluctuations is presented and tested here. Drawdown is distinguished by analytically simulating all pumping and nonpumping water-level stresses simultaneously during the period of record. Pumping signals are generated with Theis models, where the pumping schedule is translated into water-level change with the Theis solution. This approach closely matched drawdowns simulated with a complex three-dimensional, hypothetical model and reasonably estimated drawdowns from an aquifer test conducted in a complex hydrogeologic system. Pumping-induced changes generated with a numerical model and analytical Theis model agreed (RMS as low as 0.007 m) in cases where pumping signals traveled more than 1 km across confining units and fault structures. Maximum drawdowns of about 0.05 m were analytically estimated from field investigations where environmental fluctuations approached 0.2&thinsp;m during the analysis period.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/gwat.12042","usgsCitation":"Garcia, C., Halford, K.J., and Fenelon, J., 2013, Detecting drawdowns masked by environmental stresses with water-level models: Ground Water, v. 51, no. 3, p. 322-332, https://doi.org/10.1111/gwat.12042.","productDescription":"11 p.","startPage":"322","endPage":"332","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033308","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":473844,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.12042","text":"Publisher Index Page"},{"id":271727,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271726,"rank":2,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gwat.12042"}],"volume":"51","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-03-07","publicationStatus":"PW","scienceBaseUri":"51837ce4e4b0a21483941a41","contributors":{"authors":[{"text":"Garcia, C.A.","contributorId":90128,"corporation":false,"usgs":true,"family":"Garcia","given":"C.A.","affiliations":[],"preferred":false,"id":478044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halford, K. J. 0000-0002-7322-1846","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":61077,"corporation":false,"usgs":true,"family":"Halford","given":"K.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":478043,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fenelon, J.M.","contributorId":100430,"corporation":false,"usgs":true,"family":"Fenelon","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":478045,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045686,"text":"70045686 - 2013 - Spatial consistency of chinook salmon redd distribution within and among years in the Cowlitz River, Washington","interactions":[],"lastModifiedDate":"2013-05-02T10:15:21","indexId":"70045686","displayToPublicDate":"2013-05-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Spatial consistency of chinook salmon redd distribution within and among years in the Cowlitz River, Washington","docAbstract":"We investigated the spawning patterns of Chinook Salmon Oncorhynchus tshawytscha on the lower Cowlitz River, Washington, using a unique set of fine- and coarse-scale temporal and spatial data collected during biweekly aerial surveys conducted in 1991–2009 (500 m to 28 km resolution) and 2008–2009 (100–500 m resolution). Redd locations were mapped from a helicopter during 2008 and 2009 with a hand-held GPS synchronized with in-flight audio recordings. We examined spatial patterns of Chinook Salmon redd reoccupation among and within years in relation to segment-scale geomorphic features. Chinook Salmon spawned in the same sections each year with little variation among years. On a coarse scale, 5 years (1993, 1998, 2000, 2002, and 2009) were compared for reoccupation. Redd locations were highly correlated among years. Comparisons on a fine scale (500 m) between 2008 and 2009 also revealed a high degree of consistency among redd locations. On a finer temporal scale, we observed that Chinook Salmon spawned in the same sections during the first and last week. Redds were clustered in both 2008 and 2009. Regression analysis with a generalized linear model at the 500-m scale indicated that river kilometer and channel bifurcation were positively associated with redd density, whereas sinuosity was negatively associated with redd density. Collecting data on specific redd locations with a GPS during aerial surveys was logistically feasible and cost effective and greatly enhanced the spatial precision of Chinook Salmon spawning surveys.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2013.778924","usgsCitation":"Klett, K.J., Torgersen, C., Henning, J.A., and Murray, C.J., 2013, Spatial consistency of chinook salmon redd distribution within and among years in the Cowlitz River, Washington: North American Journal of Fisheries Management, v. 33, no. 3, p. 508-518, https://doi.org/10.1080/02755947.2013.778924.","productDescription":"11 p.","startPage":"508","endPage":"518","ipdsId":"IP-043269","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":271733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271732,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2013.778924"}],"country":"United States","volume":"33","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-04-28","publicationStatus":"PW","scienceBaseUri":"51837cebe4b0a21483941a69","contributors":{"authors":[{"text":"Klett, Katherine J.C.","contributorId":10699,"corporation":false,"usgs":true,"family":"Klett","given":"Katherine","email":"","middleInitial":"J.C.","affiliations":[],"preferred":false,"id":478046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torgersen, Christian E. 0000-0001-8325-2737","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":48143,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian E.","affiliations":[],"preferred":false,"id":478048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henning, Julie A.","contributorId":15579,"corporation":false,"usgs":true,"family":"Henning","given":"Julie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":478047,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murray, Christopher J.","contributorId":58537,"corporation":false,"usgs":true,"family":"Murray","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":478049,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045747,"text":"sir20135026 - 2013 - Hydrogeology and water quality of the Dublin and Midville aquifer systems at Waynesboro, Burke County, Georgia, 2011","interactions":[],"lastModifiedDate":"2017-01-17T20:37:46","indexId":"sir20135026","displayToPublicDate":"2013-05-02T00:00:00","publicationYear":"2013","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":"2013-5026","title":"Hydrogeology and water quality of the Dublin and Midville aquifer systems at Waynesboro, Burke County, Georgia, 2011","docAbstract":"The hydrogeology and water quality of the Dublin and Midville aquifer systems were characterized in the City of Waynesboro area in Burke County, Georgia, based on geophysical and drillers’ logs, flowmeter surveys, a 24-houraquifer test, and the collection and chemical analysis of water samples in a newly constructed well. At the test site, the Dublin aquifer system consists of interlayered sands and clays between depths of 396 and 691 feet, and the Midville aquifer system consists of a sandy clay layer overlying a sand and gravel layer between depths of 728 and 936 feet. The new well was constructed with three screened intervals in the Dublin aquifer system and four screened intervals in the Midville aquifer system. Wellbore-flowmeter testing at a pumping rate of 1,000 gallons per minute indicated that 52.2 percent of the total flow was from the shallower Dublin aquifer system with the remaining 47.8 percent from the deeper Midville aquifer system. The lower part of the lower Midville aquifer (900 to 930 feet deep), contributed only 0.1 percent of the total flow.\n\nHydraulic properties of the two aquifer systems were estimated using data from two wellbore-flowmeter surveys and a 24-hour aquifer test. Estimated values of transmissivity for the Dublin and Midville aquifer systems were 2,000 and 1,000 feet squared per day, respectively. The upper and lower Dublin aquifers have a combined thickness of about 150 feet and the horizontal hydraulic conductivity of the Dublin aquifer system averages 10 feet per day. The upper Midville aquifer, lower Midville confining unit, and lower Midville aquifer have a combined thickness of about 210 feet, and the horizontal hydraulic conductivity of the Midville aquifer system averages 6 feet per day. Storage coefficient of the Dublin aquifer system, computed using the Theis method on water-level data from one observation well, was estimated to be 0.0003. With a thickness of about 150 feet, the specific storage of the Dublin aquifer system averages about 2×10-6 per foot.\n\nWater quality of the Dublin and Midville aquifer systems was characterized during the aquifer test on the basis of water samples collected from composite well flow originating from five depths in the completed production well during the aquifer test. Samples were analyzed for total dissolved solids, specific conductance, pH, alkalinity, and major ions. Water-quality results from composite samples, known flow contribution from individual screens, and a mixing equation were used to calculate water-quality values for sample intervals between sample depths or below the bottom sample depth. With the exception of iron and manganese, constituent concentrations of water from each of the sampled intervals and total flow from the well were within U.S. Environmental Protection Agency primary and secondary drinking-water standards. Water from the bottommost sample interval in the lower part of the lower Midville aquifer (900 to 930 feet) contained manganese and iron concentrations of 59.1 and 1,160 micrograms per liter, respectively, which exceeded secondary drinking-water standards. Because this interval contributed only 0.1 percent of the total flow to the well, water quality of this interval had little effect on the composite well water quality. Two other sample intervals from the Midville aquifer system and the total flow from both aquifer systems contained iron concentrations that slightly exceeded the secondary drinking-water standard of 300 micrograms per liter.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135026","collaboration":"Prepared in cooperation with the City of Waynesboro, Georgia","usgsCitation":"Gonthier, G., 2013, Hydrogeology and water quality of the Dublin and Midville aquifer systems at Waynesboro, Burke County, Georgia, 2011: U.S. Geological Survey Scientific Investigations Report 2013-5026, vii, 39 p., https://doi.org/10.3133/sir20135026.","productDescription":"vii, 39 p.","numberOfPages":"51","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":271738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135026.gif"},{"id":271736,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5026/"},{"id":271737,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5026/pdf/sir2013-5026.pdf"}],"country":"United States","state":"Georgia","county":"Burke County","city":"Waynesboro","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.037295,33.072069 ], [ -82.037295,33.117787 ], [ -81.991343,33.117787 ], [ -81.991343,33.072069 ], [ -82.037295,33.072069 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51837ce7e4b0a21483941a55","contributors":{"authors":[{"text":"Gonthier, Gerard  0000-0003-4078-8579 gonthier@usgs.gov","orcid":"https://orcid.org/0000-0003-4078-8579","contributorId":3141,"corporation":false,"usgs":true,"family":"Gonthier","given":"Gerard ","email":"gonthier@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478240,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045388,"text":"70045388 - 2013 - Does seeding after wildfires in rangelands reduce erosion or invasive species?","interactions":[],"lastModifiedDate":"2013-07-15T09:16:48","indexId":"70045388","displayToPublicDate":"2013-05-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Does seeding after wildfires in rangelands reduce erosion or invasive species?","docAbstract":"Mitigation of ecological damage caused by rangeland wildfires has historically been an issue restricted to the western United States. It has focused on conservation of ecosystem function through reducing soil erosion and spread of invasive plants. Effectiveness of mitigation treatments has been debated recently. We reviewed recent literature to conduct a meta-analysis of seeding after wildfires to determine if seedings may (1) protect ecosystems against soil erosion and (2) reduce invasion or abundance of undesirable nonnative plant species. Effectiveness of postfire seedings was examined in 8 erosion and 19 invasive species cases. Seeding has little effect on erosion during the first year after fire and is highly dependent upon initial establishment and coverage of species in successive years. Among all seeding cases, 28% reduced, 67% were neutral, and 5% increased invasive species abundance. Older seedings were more likely to show reductions in invasives than younger seedings. Seedings with high plant establishment were more likely to reduce invasives than those with low establishment. Studies are needed that examine (1) frequency of adequate establishment of postfire seedings and causal factors of success or failure, (2) long-term impacts of seeding along a range of initial establishment and concomitant plant coverage over time as it relates to erosion and abundance of invasive plant species, and (3) auxiliary treatments designed to increase likelihood of germination and establishment given the inevitable variability of environmental conditions. These studies would aid land managers in deciding when postfire treatments are required and their likely level of success.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Restoration Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/rec.12021","usgsCitation":"Pyke, D.A., Wirth, T., and Beyers, J.L., 2013, Does seeding after wildfires in rangelands reduce erosion or invasive species?: Restoration Ecology, v. 21, no. 4, p. 415-421, https://doi.org/10.1111/rec.12021.","productDescription":"7 p.","startPage":"415","endPage":"421","ipdsId":"IP-043601","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":271764,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271763,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/rec.12021"}],"volume":"21","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-04-11","publicationStatus":"PW","scienceBaseUri":"51837ce4e4b0a21483941a45","contributors":{"authors":[{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":477329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wirth, Troy A.","contributorId":27837,"corporation":false,"usgs":true,"family":"Wirth","given":"Troy A.","affiliations":[],"preferred":false,"id":477330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beyers, Jan L.","contributorId":94393,"corporation":false,"usgs":true,"family":"Beyers","given":"Jan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":477331,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045752,"text":"70045752 - 2013 - Geographic range and structure of cryptic genetic diversity among Pacific North American populations of the non-native amphipod <i>Grandidierella japonica</i>","interactions":[],"lastModifiedDate":"2016-05-17T09:13:25","indexId":"70045752","displayToPublicDate":"2013-05-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Geographic range and structure of cryptic genetic diversity among Pacific North American populations of the non-native amphipod <i>Grandidierella japonica</i>","docAbstract":"<p><span>Reconstructing the invasion history of aquatic invasive species can enhance understanding of invasion risks by recognizing areas most susceptible to invasion and forecasting future spread based on past patterns of population expansion. Here we reconstruct the invasion history of the Japanese amphipod&nbsp;</span><i class=\"EmphasisTypeItalic \">Grandidierella japonica</i><span>&nbsp;Stephensen 1938 combining information from historical collection data with molecular genetic data to better understand post-invasion range expansion and anthropogenic connectivity across the Pacific coast of North America. Compilation of collection data from bays and estuaries of the Pacific North American coast show many new localities have been colonized in the last two decades, moving outward from harbors and bays with high commercial traffic into smaller coastal locations dominated by local recreational traffic. DNA barcode sequence data for&nbsp;</span><i class=\"EmphasisTypeItalic \">G. japonica</i><span>&nbsp;reveals two distinct clades: one found in San Francisco Bay and sites to the north, and one also found in San Francisco Bay and sites to the south. The two clades differ by an average 7.28&nbsp;% genetic distance, large enough to consider these invasive amphipods two separate species. Both northern and southern clades exhibit low levels of genetic diversity, suggesting a single introduction event for each. The presence of cryptic diversity within this invasive amphipod highlights the need for more extensive study of the invasive and native populations of aquatic invasive invertebrates to address questions of taxonomy, diversity, and invasion history.</span></p>","language":"English","publisher":"Kluwer Academic Publishers","doi":"10.1007/s10530-013-0462-7","usgsCitation":"Pilgrim, E.M., Blum, M.J., Reusser, D.A., Lee, H., and Darling, J.A., 2013, Geographic range and structure of cryptic genetic diversity among Pacific North American populations of the non-native amphipod <i>Grandidierella japonica</i>: Biological Invasions, v. 15, no. 11, p. 2415-2428, https://doi.org/10.1007/s10530-013-0462-7.","productDescription":"14 p.","startPage":"2415","endPage":"2428","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042482","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":271758,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","state":"California, Oregon, Washington","otherGeospatial":"Fraser River, San Quintin estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -129.638671875,\n              53.014783245859235\n            ],\n            [\n              -128.232421875,\n              53.22576843579022\n            ],\n            [\n              -125.41992187499999,\n              53.22576843579022\n            ],\n            [\n              -122.6953125,\n              52.77618568896171\n            ],\n            [\n              -120.7177734375,\n              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Research Center","active":true,"usgs":true}],"preferred":true,"id":478277,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, Henry II","contributorId":40334,"corporation":false,"usgs":true,"family":"Lee","given":"Henry","suffix":"II","affiliations":[],"preferred":false,"id":478280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Darling, John A.","contributorId":38878,"corporation":false,"usgs":true,"family":"Darling","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":478279,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045761,"text":"ds763 - 2013 - High-water marks from flooding in Lake Champlain from April through June 2011 and Tropical Storm Irene in August 2011 in Vermont","interactions":[],"lastModifiedDate":"2013-05-02T16:17:14","indexId":"ds763","displayToPublicDate":"2013-05-02T00:00:00","publicationYear":"2013","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":"763","title":"High-water marks from flooding in Lake Champlain from April through June 2011 and Tropical Storm Irene in August 2011 in Vermont","docAbstract":"The U.S. Geological Survey, in cooperation with the Federal Emergency Management Agency, identified high-water marks after two floods in Vermont during 2011. Following a snowy winter, new monthly precipitation records were set in Burlington, Vermont, in April and May 2011, causing extensive flooding from April through June. The spring 2011 flooding resulted in a new record for stage (103.27 feet, referenced to the National Geodetic Vertical Datum of 1929) at the Lake Champlain at Burlington, Vt., gaging station (04294500). During August 28 and 29, 2011, tropical storm Irene delivered rainfall totals of 3 to more than 7 inches throughout Vermont, which resulted in extensive flooding and new streamflow records at nine streamgaging stations. Four presidential declarations of disaster were made following the 2011 flood events in Vermont.\n\nThirty-nine high-water marks were identified and flagged to mark the highest levels of Lake Champlain from the May 2011 flooding, and 1,138 high-water marks were identified and flagged along Vermont rivers after flooding from tropical storm Irene in August 2011. Seventy-four percent of the high-water marks that were flagged were later found and surveyed to the North American Vertical Datum of 1988.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds763","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Medalie, L., and Olson, S., 2013, High-water marks from flooding in Lake Champlain from April through June 2011 and Tropical Storm Irene in August 2011 in Vermont: U.S. Geological Survey Data Series 763, iv, 11 p.; Appendix Readme File; 3 Appendixes, https://doi.org/10.3133/ds763.","productDescription":"iv, 11 p.; Appendix Readme File; 3 Appendixes","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":271782,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds763.gif"},{"id":271777,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/763/pdf/ds763.pdf"},{"id":271778,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/763/appendixes_final/README.txt"},{"id":271779,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/763/appendixes_final/ds763_appendix1_Dewberry.pdf"},{"id":271776,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/763/"},{"id":271780,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/763/appendixes_final/ds763_appendix2.xls"},{"id":271781,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/763/appendixes_final/ds763_appendix3.kmz"}],"country":"United States","state":"Vermont","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.4305,42.7268 ], [ -73.4305,45.0167 ], [ -71.465,45.0167 ], [ -71.465,42.7268 ], [ -73.4305,42.7268 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51837ce7e4b0a21483941a51","contributors":{"authors":[{"text":"Medalie, Laura 0000-0002-2440-2149 lmedalie@usgs.gov","orcid":"https://orcid.org/0000-0002-2440-2149","contributorId":3657,"corporation":false,"usgs":true,"family":"Medalie","given":"Laura","email":"lmedalie@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olson, S.A.","contributorId":58681,"corporation":false,"usgs":true,"family":"Olson","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":478309,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045718,"text":"70045718 - 2013 - The identity of the enigmatic \"Black Shrew\" (Sorex niger Ord, 1815)","interactions":[],"lastModifiedDate":"2013-05-02T11:03:05","indexId":"70045718","displayToPublicDate":"2013-05-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3147,"text":"Proceedings of the Biological Society of Washington","active":true,"publicationSubtype":{"id":10}},"title":"The identity of the enigmatic \"Black Shrew\" (Sorex niger Ord, 1815)","docAbstract":"The scientific name Sorex niger Ord, 1815 (Mammalia, Soricidae) was originally applied to a North American species that George Ord called the “Black Shrew.” The origin of the name “Black Shrew,” however, was obscure, and Samuel Rhoads subsequently wrote that the species represented by this name could not be determined. The names Sorex niger Ord and Black Shrew have since been mostly forgotten. Two of Ord's contemporaries, however, noted that Ord's use of these names probably alluded to Benjamin Smith Barton's Black Shrew, whose discovery near Philadelphia was announced by Barton in 1806. Examination of two unpublished illustrations of the Black Shrew made by Barton indicates that the animal depicted is Blarina brevicauda (Say, 1822). Had the connection between Ord's and Barton's names been made more clearly, one of the most common mammals in eastern North America would bear a different scientific name today. This connection also would have affected the validity of Sorex niger Horsfield, 1851. While Sorex niger Ord remains a nomen nudum, the animal it referenced can now be identified.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the Biological Society of Washington","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Biological Society of Washington","doi":"10.2988/0006-324X-126.1.1","usgsCitation":"Woodman, N., 2013, The identity of the enigmatic \"Black Shrew\" (Sorex niger Ord, 1815): Proceedings of the Biological Society of Washington, v. 126, no. 1, p. 1-10, https://doi.org/10.2988/0006-324X-126.1.1.","productDescription":"10 p.","startPage":"1","endPage":"10","ipdsId":"IP-041117","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":271740,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271739,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2988/0006-324X-126.1.1"}],"volume":"126","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51837cece4b0a21483941a6d","contributors":{"authors":[{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":478183,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048374,"text":"70048374 - 2013 - Sediment accretion and organic carbon burial relative to sea-level rise and storm events in two mangrove forests in Everglades National Park","interactions":[],"lastModifiedDate":"2013-09-24T15:30:19","indexId":"70048374","displayToPublicDate":"2013-05-01T15:24:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1198,"text":"Catena","active":true,"publicationSubtype":{"id":10}},"title":"Sediment accretion and organic carbon burial relative to sea-level rise and storm events in two mangrove forests in Everglades National Park","docAbstract":"The goal of this investigation was to examine how sediment accretion and organic carbon (OC) burial rates in mangrove forests respond to climate change. Specifically, will the accretion rates keep pace with sea-level rise, and what is the source and fate of OC in the system? Mass accumulation, accretion and OC burial rates were determined via <sup>210</sup>Pb dating (i.e. 100 year time scale) on sediment cores collected from two mangrove forest sites within Everglades National Park, Florida (USA). Enhanced mass accumulation, accretion and OC burial rates were found in an upper layer that corresponded to a well-documented storm surge deposit. Accretion rates were 5.9 and 6.5 mm yr<sup>−1</sup> within the storm deposit compared to overall rates of 2.5 and 3.6 mm yr<sup>−1</sup>. These rates were found to be matching or exceeding average sea-level rise reported for Key West, Florida. Organic carbon burial rates were 260 and 393 g m<sup>−2</sup> yr<sup>−1</sup> within the storm deposit compared to 151 and 168 g m<sup>−2</sup> yr<sup>−1</sup> overall burial rates. The overall rates are similar to global estimates for OC burial in marine wetlands. With tropical storms being a frequent occurrence in this region the resulting storm surge deposits are an important mechanism for maintaining both overall accretion and OC burial rates. Enhanced OC burial rates within the storm deposit could be due to an increase in productivity created from higher concentrations of phosphorus within storm-delivered sediments and/or from the deposition of allochthonous OC. Climate change-amplified storms and sea-level rise could damage mangrove forests, exposing previously buried OC to oxidation and contribute to increasing atmospheric CO<sub>2</sub> concentrations. However, the processes described here provide a mechanism whereby oxidation of OC would be limited and the overall OC reservoir maintained within the mangrove forest sediments.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Catena","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.catena.2012.10.009","usgsCitation":"Smoak, J.M., Breithaupt, J., Smith, T.J., and Sanders, C.J., 2013, Sediment accretion and organic carbon burial relative to sea-level rise and storm events in two mangrove forests in Everglades National Park: Catena, v. 104, p. 58-66, https://doi.org/10.1016/j.catena.2012.10.009.","productDescription":"9 p.","startPage":"58","endPage":"66","numberOfPages":"9","ipdsId":"IP-034399","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":502502,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digital.usfsp.edu/fac_publications/1341","text":"External Repository"},{"id":278053,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278052,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.catena.2012.10.009"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.5183,24.85 ], [ -81.5183,25.8899 ], [ -80.3887,25.8899 ], [ -80.3887,24.85 ], [ -81.5183,24.85 ] ] ] } } ] }","volume":"104","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5242b466e4b096ee62464202","chorus":{"doi":"10.1016/j.catena.2012.10.009","url":"http://dx.doi.org/10.1016/j.catena.2012.10.009","publisher":"Elsevier BV","authors":"Smoak Joseph M., Breithaupt Joshua L., Smith Thomas J., Sanders Christian J.","journalName":"CATENA","publicationDate":"5/2013","auditedOn":"9/13/2016"},"contributors":{"authors":[{"text":"Smoak, Joseph M.","contributorId":32392,"corporation":false,"usgs":true,"family":"Smoak","given":"Joseph","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breithaupt, Joshua L.","contributorId":82210,"corporation":false,"usgs":true,"family":"Breithaupt","given":"Joshua L.","affiliations":[],"preferred":false,"id":484474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Thomas J. III tom_j_smith@usgs.gov","contributorId":1615,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","suffix":"III","email":"tom_j_smith@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":484472,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanders, Christian J.","contributorId":90584,"corporation":false,"usgs":true,"family":"Sanders","given":"Christian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484475,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048386,"text":"70048386 - 2013 - Including independent estimates and uncertainty to quantify total abundance of fish migrating in a large river system: walleye (<i>Sander vitreus</i>) in the Maumee River, Ohio","interactions":[],"lastModifiedDate":"2013-09-24T15:04:51","indexId":"70048386","displayToPublicDate":"2013-05-01T14:58:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Including independent estimates and uncertainty to quantify total abundance of fish migrating in a large river system: walleye (<i>Sander vitreus</i>) in the Maumee River, Ohio","docAbstract":"Walleye (Sander vitreus) in Lake Erie is a valuable and migratory species that spawns in tributaries. We used hydroacoustic sampling, gill net sampling, and Bayesian state-space modeling to estimate the spawning stock abundance, characterize size and sex structure, and explore environmental factors cuing migration of walleye in the Maumee River for 2011 and 2012. We estimated the spawning stock abundance to be between 431,000 and 1,446,000 individuals in 2011 and between 386,400 and 857,200 individuals in 2012 (95% Bayesian credible intervals). A back-calculation from a concurrent larval fish study produced an estimate of 78,000 to 237,000 spawners for 2011. The sex ratio was skewed towards males early in the spawning season but approached 1:1 later, and larger individuals entered the river earlier in the season than smaller individuals. Walleye migration was greater during low river discharge and intermediate temperatures. Our approach to estimating absolute abundance and uncertainty as well as characterization of the spawning stock could improve assessment and management of this species, and our methodology is applicable to other diadromous populations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Fisheries and Aquatic Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2012-0484","usgsCitation":"Pritt, J., DuFour, M., Mayer, C.M., Kocovsky, P., Tyson, J.T., Weimer, E.J., and Vandergoot, C.S., 2013, Including independent estimates and uncertainty to quantify total abundance of fish migrating in a large river system: walleye (<i>Sander vitreus</i>) in the Maumee River, Ohio: Canadian Journal of Fisheries and Aquatic Sciences, v. 70, no. 5, p. 803-814, https://doi.org/10.1139/cjfas-2012-0484.","productDescription":"12 p.","startPage":"803","endPage":"814","numberOfPages":"12","ipdsId":"IP-044731","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":278046,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278045,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/cjfas-2012-0484"}],"country":"United States","state":"Ohio","otherGeospatial":"Maumee River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.666667,41.5 ], [ -83.666667,41.833333 ], [ -83.333333,41.833333 ], [ -83.333333,41.5 ], [ -83.666667,41.5 ] ] ] } } ] }","volume":"70","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5242b465e4b096ee624641f4","contributors":{"authors":[{"text":"Pritt, Jeremy J.","contributorId":38055,"corporation":false,"usgs":true,"family":"Pritt","given":"Jeremy J.","affiliations":[],"preferred":false,"id":484494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DuFour, Mark R.","contributorId":36451,"corporation":false,"usgs":true,"family":"DuFour","given":"Mark R.","affiliations":[],"preferred":false,"id":484493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mayer, Christine M.","contributorId":50814,"corporation":false,"usgs":true,"family":"Mayer","given":"Christine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484495,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kocovsky, Patrick M.","contributorId":89381,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick M.","affiliations":[],"preferred":false,"id":484498,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tyson, Jeffrey T.","contributorId":104433,"corporation":false,"usgs":true,"family":"Tyson","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":484499,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weimer, Eric J.","contributorId":64153,"corporation":false,"usgs":true,"family":"Weimer","given":"Eric","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484496,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vandergoot, Christopher S.","contributorId":71849,"corporation":false,"usgs":false,"family":"Vandergoot","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":484497,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70093223,"text":"70093223 - 2013 - Perfluorinated compound concentrations in great blue heron eggs near St. Paul, Minnesota, USA, in 1993 and 2010-2011","interactions":[],"lastModifiedDate":"2014-02-05T14:27:49","indexId":"70093223","displayToPublicDate":"2013-05-01T14:25:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Perfluorinated compound concentrations in great blue heron eggs near St. Paul, Minnesota, USA, in 1993 and 2010-2011","docAbstract":"A great blue heron (Ardea herodias) colony on Pig's Eye Island on the Mississippi River near St. Paul, Minnesota, USA, is located near several potential perfluorinated compound (PFC) sources. The PFC concentrations in great blue heron eggs reported from a 1993 collection from the Pig's Eye colony were among the highest measured in bird eggs worldwide. The objective of this investigation was to determine whether PFC concentrations in great blue heron eggs at the Pig's Eye colony have changed since 1993. Total PFC concentrations in great blue heron eggs collected at the Pig's Eye colony in 2010 and 2011 (geometric mean = 340 and 492 ng/g wet wt) were 60% lower than the 1993 collection (1,015 ng/g wet wt). Among PFCs, perfluoroalkyl sulfonate concentrations were lower and perfluoroalkyl carboxylate concentrations were higher in the 2010 and 2011 collections. Two of 20 (10%) of the eggs analyzed from Pig's Eye in 2010 and 2011 were >1,000 ng PFCs/g wet weight and the maximum PFC value (2,506 ng PFCs/g wet wt) measured in 2010 and 2011 was among the highest PFC concentration reported in bird eggs. These high concentrations are at levels associated with physiological and neurological effects in birds.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/etc.2146","usgsCitation":"Custer, T.W., Dummer, P.M., Custer, C.M., Wu, Q., Kannan, K., and Trowbridge, A., 2013, Perfluorinated compound concentrations in great blue heron eggs near St. Paul, Minnesota, USA, in 1993 and 2010-2011: Environmental Toxicology and Chemistry, v. 32, no. 5, p. 1077-1083, https://doi.org/10.1002/etc.2146.","productDescription":"7 p.","startPage":"1077","endPage":"1083","numberOfPages":"7","ipdsId":"IP-037252","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":282042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282041,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.2146"}],"country":"United States","state":"Minnesota","city":"St. Paul","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.207787,44.887399 ], [ -93.207787,44.992016 ], [ -93.00432,44.992016 ], [ -93.00432,44.887399 ], [ -93.207787,44.887399 ] ] ] } } ] }","volume":"32","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-02-01","publicationStatus":"PW","scienceBaseUri":"53cd6ad0e4b0b29085103806","contributors":{"authors":[{"text":"Custer, Thomas W. 0000-0003-3170-6519 tcuster@usgs.gov","orcid":"https://orcid.org/0000-0003-3170-6519","contributorId":2835,"corporation":false,"usgs":true,"family":"Custer","given":"Thomas","email":"tcuster@usgs.gov","middleInitial":"W.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":489983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dummer, Paul M. 0000-0002-2055-9480","orcid":"https://orcid.org/0000-0002-2055-9480","contributorId":90665,"corporation":false,"usgs":true,"family":"Dummer","given":"Paul","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":489987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Custer, Christine M. 0000-0003-0500-1582 ccuster@usgs.gov","orcid":"https://orcid.org/0000-0003-0500-1582","contributorId":1143,"corporation":false,"usgs":true,"family":"Custer","given":"Christine","email":"ccuster@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":489982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wu, Qian","contributorId":87848,"corporation":false,"usgs":true,"family":"Wu","given":"Qian","email":"","affiliations":[],"preferred":false,"id":489986,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kannan, Kurunthachalam","contributorId":42861,"corporation":false,"usgs":true,"family":"Kannan","given":"Kurunthachalam","email":"","affiliations":[],"preferred":false,"id":489984,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Trowbridge, Annette","contributorId":44818,"corporation":false,"usgs":true,"family":"Trowbridge","given":"Annette","email":"","affiliations":[],"preferred":false,"id":489985,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70118323,"text":"70118323 - 2013 - Late Holocene history of Chaitén Volcano:  new evidence for a 17<sup>th</sup> century eruption","interactions":[],"lastModifiedDate":"2014-07-28T13:37:07","indexId":"70118323","displayToPublicDate":"2013-05-01T13:34:14","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":766,"text":"Andean Geology","active":true,"publicationSubtype":{"id":10}},"title":"Late Holocene history of Chaitén Volcano:  new evidence for a 17<sup>th</sup> century eruption","docAbstract":"Prior to May 2008, it was thought that the last eruption of Chaitén Volcano occurred more than 5,000 years \nago, a rather long quiescent period for a volcano in such an active arc segment. However, increasingly more Holocene \neruptions are being identified. This article presents both geological and historical evidence for late Holocene eruptive \nactivity in the 17th century (AD 1625-1658), which included an explosive rhyolitic eruption that produced pumice ash \nfallout east of the volcano and caused channel aggradation in the Chaitén River. The extents of tephra fall and channel \naggradation were similar to those of May 2008. Fine ash, pumice and obsidian fragments in the pre-2008 deposits are \nunequivocally derived from Chaitén Volcano. This finding has important implications for hazards assessment in the area \nand suggests the eruptive frequency and magnitude should be more thoroughly studied.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Andean Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Servicio Nacional de Geología y Minería","publisherLocation":"Santiago, Chile","doi":"10.5027/andgeoV40n2-a04","usgsCitation":"Lara, L.E., Moreno, R., Amigo, Á., Hoblitt, R.P., and Pierson, T.C., 2013, Late Holocene history of Chaitén Volcano:  new evidence for a 17<sup>th</sup> century eruption: Andean Geology, v. 40, no. 2, p. 249-261, https://doi.org/10.5027/andgeoV40n2-a04.","productDescription":"13 p.","startPage":"249","endPage":"261","numberOfPages":"13","costCenters":[],"links":[{"id":473848,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5027/andgeov40n2-a04","text":"Publisher Index Page"},{"id":291180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291179,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5027/andgeoV40n2-a04"}],"country":"Chile","city":"Chait�n","otherGeospatial":"Chait�n Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.902119,-42.963783 ], [ -72.902119,-42.70194 ], [ -72.389881,-42.70194 ], [ -72.389881,-42.963783 ], [ -72.902119,-42.963783 ] ] ] } } ] }","volume":"40","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-05-30","publicationStatus":"PW","scienceBaseUri":"57f7f301e4b0bc0bec0a070a","contributors":{"authors":[{"text":"Lara, Luis E.","contributorId":40500,"corporation":false,"usgs":true,"family":"Lara","given":"Luis","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":496760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moreno, Rodrigo","contributorId":47301,"corporation":false,"usgs":true,"family":"Moreno","given":"Rodrigo","email":"","affiliations":[],"preferred":false,"id":496761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amigo, Álvaro","contributorId":89054,"corporation":false,"usgs":true,"family":"Amigo","given":"Álvaro","affiliations":[],"preferred":false,"id":496762,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoblitt, Richard P. rhoblitt@usgs.gov","contributorId":1937,"corporation":false,"usgs":true,"family":"Hoblitt","given":"Richard","email":"rhoblitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":496758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pierson, Thomas C. 0000-0001-9002-4273 tpierson@usgs.gov","orcid":"https://orcid.org/0000-0001-9002-4273","contributorId":2498,"corporation":false,"usgs":true,"family":"Pierson","given":"Thomas","email":"tpierson@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":496759,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048817,"text":"70048817 - 2013 - Great Lakes rivermouths: a primer for managers","interactions":[],"lastModifiedDate":"2014-06-20T14:08:32","indexId":"70048817","displayToPublicDate":"2013-05-01T12:58:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Great Lakes rivermouths: a primer for managers","docAbstract":"<p>Between the North American Great Lakes and their tributaries are the places where the confluence of river and lake waters creates a distinct ecosystem: the rivermouth ecosystem. Human development has often centered around these rivermouths, in part, because they provide a rich array of ecosystem services. Not surprisingly, centuries of intense human activity have led to substantial pressures on, and alterations to, these ecosystems, often diminishing or degrading their ecological functions and associated ecological services. Many Great Lakes rivermouths are the focus of intense restoration efforts. For example, 36 of the active Great Lakes Areas of Concern (AOCs) are rivermouths or areas that include one or more rivermouths.</p>\n<br/>\n<p>Historically, research of rivermouth ecosystems has been piecemeal, focused on the Great Lakes proper or on the upper reaches of tributaries, with little direct study of the rivermouth itself. Researchers have been divided among disciplines, agencies and institutions; and they often work independently and use disparate venues to communicate their work. Management has also been fragmented with a focus on smaller, localized, sub-habitat units and socio-political or economic elements, rather than system-level consideration.</p>\n<br/>\n<p>This Primer presents the case for a more holistic approach to rivermouth science and management that can enable restoration of ecosystem services with multiple benefits to humans and the Great Lakes ecosystem. A conceptual model is presented with supporting text that describes the structures and processes common to all rivermouths, substantiating the case for treating these ecosystems as an identifiable class.<sup>1</sup> Ecological services provided by rivermouths and changes in how humans value those services over time are illustrated through case studies of two Great Lakes rivermouths—the St. Louis River and the Maumee River. Specific ecosystem services are identified in italics throughout this Primer and follow definitions described by the Millennium Ecosystem Assessment (Table1). Collectively, this primer synthesizes existing information in a new way that aims to support management of rivermouths as distinct and important ecosystems. The development and management decisions made around rivermouths today will shape the future of these ecosystems, and the human communities within them, well into the future.</p>\n<br/>\n<p><sup>1</sup> The information presented in this paper was derived from discussions and draft documents of the Great Lakes Rivermouth Collaboratory. The Great Lakes Rivermouth Collaboratory was established by the U.S. Geological Survey's Great Lakes Science Center (USGS-GLSC) in collaboration with the Great Lakes Commission to engage the Great Lakes scientific community in sharing and documenting knowledge about freshwater rivermouth ecosystems. For more information, see http://www.glc.org/habitat/Rivermouth-Collaboratory.html.</p>","language":"English","publisher":"Great Lakes Commission","usgsCitation":"Pebbles, V., Larson, J., and Seelbach, P., 2013, Great Lakes rivermouths: a primer for managers, 19 p.","productDescription":"19 p.","numberOfPages":"19","ipdsId":"IP-045290","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":279180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada;United States","otherGeospatial":"Great Lakes","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528c96afe4b0c629af44ddb6","contributors":{"editors":[{"text":"Pebbles, Victoria vpebbles@usgs.gov","contributorId":5633,"corporation":false,"usgs":true,"family":"Pebbles","given":"Victoria","email":"vpebbles@usgs.gov","affiliations":[],"preferred":true,"id":509625,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Larson, James","contributorId":50440,"corporation":false,"usgs":true,"family":"Larson","given":"James","affiliations":[],"preferred":false,"id":509627,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Seelbach, Paul","contributorId":8756,"corporation":false,"usgs":true,"family":"Seelbach","given":"Paul","affiliations":[],"preferred":false,"id":509626,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Pebbles, Victoria vpebbles@usgs.gov","contributorId":5633,"corporation":false,"usgs":true,"family":"Pebbles","given":"Victoria","email":"vpebbles@usgs.gov","affiliations":[],"preferred":true,"id":485701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, James","contributorId":50440,"corporation":false,"usgs":true,"family":"Larson","given":"James","affiliations":[],"preferred":false,"id":485703,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seelbach, Paul","contributorId":8756,"corporation":false,"usgs":true,"family":"Seelbach","given":"Paul","affiliations":[],"preferred":false,"id":485702,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}